UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ DOHA HAMAD

In the twelve months from July 2025 to June 2026, 20.0% of 3,206 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, 80.0% of 3,206 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 247 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, 20.0% of 3,206 movements were disrupted and 3.7% of 3,206 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
20.0% of 3,206 movements3.7% of 3,206 movements19.1–53.7 min; N of delayed flights=522–1,3083,206
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: 3.7% of 3,206 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 min16.3%30 min6.6%60 min2.1%120 min0.7%180 min0.4%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min16.3% of 3,206 movements5226.1
>30 min6.6% of 3,206 movements21315.1
>60 min2.1% of 3,206 movements6648.6
>120 min0.7% of 3,206 movements22145.7
>180 min0.4% of 3,206 movements13246.6
>360 min0.1% of 3,206 movements21,603.0
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 early79924.9%15–1 early98030.6%0–15 late78624.5%16–303099.6%31–601474.6%61…120441.4%121…18090.3%181…360110.3%>36020.1%D=3,206
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0285; 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: Nov 2020, 1.7% of 120 movements. Worst month: Mar 2026, 74.3% of 140 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: 45.0%; sample: 2022018Feb 2018: 26.5%; sample: 196Mar 2018: 16.1%; sample: 211Apr 2018: 13.9%; sample: 180May 2018: 3.8%; sample: 186Jun 2018: 10.1%; sample: 179Jul 2018: 11.3%; sample: 186Aug 2018: 17.7%; sample: 186Sep 2018: 31.7%; sample: 180Oct 2018: 24.5%; sample: 184Nov 2018: 13.9%; sample: 180Dec 2018: 25.8%; sample: 217Jan 2019: 20.3%; sample: 2172019Feb 2019: 16.4%; sample: 189Mar 2019: 25.8%; sample: 213Apr 2019: 33.3%; sample: 210May 2019: 12.6%; sample: 190Jun 2019: 22.2%; sample: 207Jul 2019: 17.7%; sample: 215Aug 2019: 24.5%; sample: 216Sep 2019: 25.0%; sample: 208Oct 2019: 22.1%; sample: 217Nov 2019: 18.3%; sample: 208Dec 2019: 18.5%; sample: 216Jan 2020: 30.0%; sample: 2172020Feb 2020: 37.4%; sample: 203Mar 2020: 8.9%; sample: 179Apr 2020: 9.9%; sample: 71May 2020: 30.0%; sample: 40Jun 2020: 4.9%; sample: 61Jul 2020: 3.3%; sample: 91Aug 2020: 2.2%; sample: 93Sep 2020: 4.2%; sample: 119Oct 2020: 4.8%; sample: 124Nov 2020: 1.7%; sample: 120Dec 2020: 7.3%; sample: 124Jan 2021: 4.8%; sample: 1242021Feb 2021: 3.6%; sample: 112Mar 2021: 11.0%; sample: 73Apr 2021: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: 6.7%; sample: 45Jul 2021: 7.9%; sample: 63Aug 2021: 21.6%; sample: 88Sep 2021: 22.0%; sample: 91Oct 2021: 12.9%; sample: 124Nov 2021: 11.2%; sample: 125Dec 2021: 37.7%; sample: 154Jan 2022: 39.7%; sample: 1362022Feb 2022: 28.3%; sample: 138Mar 2022: 37.8%; sample: 156Apr 2022: 59.6%; sample: 151May 2022: 47.4%; sample: 156Jun 2022: 35.8%; sample: 165Jul 2022: 37.6%; sample: 202Aug 2022: 25.7%; sample: 218Sep 2022: 40.5%; sample: 210Oct 2022: 42.7%; sample: 218Nov 2022: 8.6%; sample: 198Dec 2022: 24.9%; sample: 205Jan 2023: 23.9%; sample: 2012023Feb 2023: 17.2%; sample: 180Mar 2023: 18.8%; sample: 202Apr 2023: 10.3%; sample: 195May 2023: 13.5%; sample: 208Jun 2023: 11.9%; sample: 201Jul 2023: 19.6%; sample: 209Aug 2023: 9.6%; sample: 208Sep 2023: 13.4%; sample: 202Oct 2023: 23.8%; sample: 210Nov 2023: 26.6%; sample: 244Dec 2023: 20.9%; sample: 239Jan 2024: 19.1%; sample: 2512024Feb 2024: 26.4%; sample: 235Mar 2024: 7.9%; sample: 253Apr 2024: 30.0%; sample: 270May 2024: 21.8%; sample: 275Jun 2024: 20.1%; sample: 269Jul 2024: 15.5%; sample: 271Aug 2024: 18.9%; sample: 280Sep 2024: 13.3%; sample: 270Oct 2024: 28.6%; sample: 266Nov 2024: 5.9%; sample: 271Dec 2024: 9.7%; sample: 279Jan 2025: 11.5%; sample: 2782025Feb 2025: 7.1%; sample: 252Mar 2025: 10.2%; sample: 256Apr 2025: 12.4%; sample: 291May 2025: 12.5%; sample: 279Jun 2025: 32.0%; sample: 284Jul 2025: 9.6%; sample: 301Aug 2025: 14.3%; sample: 301Sep 2025: 20.5%; sample: 292Oct 2025: 13.3%; sample: 309Nov 2025: 7.9%; sample: 341Dec 2025: 15.3%; sample: 353Jan 2026: 28.9%; sample: 3562026Feb 2026: 19.6%; sample: 296Mar 2026: 74.3%; sample: 140Apr 2026: 33.8%; sample: 145May 2026: 4.3%; sample: 186Jun 2026: 34.9%; sample: 186Pandemic 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 201845.0% of 202 movements
Feb 201826.5% of 196 movements
Mar 201816.1% of 211 movements
Apr 201813.9% of 180 movements
May 20183.8% of 186 movements
Jun 201810.1% of 179 movements
Jul 201811.3% of 186 movements
Aug 201817.7% of 186 movements
Sep 201831.7% of 180 movements
Oct 201824.5% of 184 movements
Nov 201813.9% of 180 movements
Dec 201825.8% of 217 movements
Jan 201920.3% of 217 movements
Feb 201916.4% of 189 movements
Mar 201925.8% of 213 movements
Apr 201933.3% of 210 movements
May 201912.6% of 190 movements
Jun 201922.2% of 207 movements
Jul 201917.7% of 215 movements
Aug 201924.5% of 216 movements
Sep 201925.0% of 208 movements
Oct 201922.1% of 217 movements
Nov 201918.3% of 208 movements
Dec 201918.5% of 216 movements
Jan 202030.0% of 217 movements
Feb 202037.4% of 203 movements
Mar 20208.9% of 179 movements
Apr 20209.9% of 71 movements
May 202030.0% of 40 movements — small sample, not ranked
Jun 20204.9% of 61 movements
Jul 20203.3% of 91 movements
Aug 20202.2% of 93 movements
Sep 20204.2% of 119 movements
Oct 20204.8% of 124 movements
Nov 20201.7% of 120 movements
Dec 20207.3% of 124 movements
Jan 20214.8% of 124 movements
Feb 20213.6% of 112 movements
Mar 202111.0% of 73 movements
Apr 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 20216.7% of 45 movements — small sample, not ranked
Jul 20217.9% of 63 movements
Aug 202121.6% of 88 movements
Sep 202122.0% of 91 movements
Oct 202112.9% of 124 movements
Nov 202111.2% of 125 movements
Dec 202137.7% of 154 movements
Jan 202239.7% of 136 movements
Feb 202228.3% of 138 movements
Mar 202237.8% of 156 movements
Apr 202259.6% of 151 movements
May 202247.4% of 156 movements
Jun 202235.8% of 165 movements
Jul 202237.6% of 202 movements
Aug 202225.7% of 218 movements
Sep 202240.5% of 210 movements
Oct 202242.7% of 218 movements
Nov 20228.6% of 198 movements
Dec 202224.9% of 205 movements
Jan 202323.9% of 201 movements
Feb 202317.2% of 180 movements
Mar 202318.8% of 202 movements
Apr 202310.3% of 195 movements
May 202313.5% of 208 movements
Jun 202311.9% of 201 movements
Jul 202319.6% of 209 movements
Aug 20239.6% of 208 movements
Sep 202313.4% of 202 movements
Oct 202323.8% of 210 movements
Nov 202326.6% of 244 movements
Dec 202320.9% of 239 movements
Jan 202419.1% of 251 movements
Feb 202426.4% of 235 movements
Mar 20247.9% of 253 movements
Apr 202430.0% of 270 movements
May 202421.8% of 275 movements
Jun 202420.1% of 269 movements
Jul 202415.5% of 271 movements
Aug 202418.9% of 280 movements
Sep 202413.3% of 270 movements
Oct 202428.6% of 266 movements
Nov 20245.9% of 271 movements
Dec 20249.7% of 279 movements
Jan 202511.5% of 278 movements
Feb 20257.1% of 252 movements
Mar 202510.2% of 256 movements
Apr 202512.4% of 291 movements
May 202512.5% of 279 movements
Jun 202532.0% of 284 movements
Jul 20259.6% of 301 movements
Aug 202514.3% of 301 movements
Sep 202520.5% of 292 movements
Oct 202513.3% of 309 movements
Nov 20257.9% of 341 movements
Dec 202515.3% of 353 movements
Jan 202628.9% of 356 movements
Feb 202619.6% of 296 movements
Mar 202674.3% of 140 movements
Apr 202633.8% of 145 movements
May 20264.3% of 186 movements
Jun 202634.9% of 186 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 2020Arrivals4.9% of 61 movements22.0% across 2,197 flightsreturned the next month
Pandemic regime · Jun 2020Departures27.7% of 65 movements23.9% across 2,201 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Arrivals37.6% of 202 movements30.2% across 1,547 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures90.1% of 202 movements60.9% across 1,545 flightsreturned after 3 months
NATS system failure · Aug 2023Arrivals9.6% of 208 movements21.5% across 2,445 flightsreturned the next month
NATS system failure · Aug 2023Departures36.2% of 207 movements39.4% across 2,441 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals10.2% of 256 movements15.9% across 3,234 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures19.5% of 256 movements36.7% across 3,237 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?

April has historically been the hardest month on this route: in a typical April, 30.0% of arrivals were disrupted, measured across 7 Aprils in the archive. November has been the calmest, at 11.2% across 6 Novembers.

Even April has ranged from 10.3% to 59.6% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201920.3% of 217 movements16.4% of 189 movements25.8% of 213 movements33.3% of 210 movements12.6% of 190 movements22.2% of 207 movements17.7% of 215 movements24.5% of 216 movements25.0% of 208 movements22.1% of 217 movements18.3% of 208 movements18.5% of 216 movements202030.0% of 217 movements37.4% of 203 movements8.9% of 179 movements9.9% of 71 movements30.0% of 40 movements †4.9% of 61 movements3.3% of 91 movements2.2% of 93 movements4.2% of 119 movements4.8% of 124 movements1.7% of 120 movements7.3% of 124 movements20214.8% of 124 movements3.6% of 112 movements11.0% of 73 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements6.7% of 45 movements †7.9% of 63 movements21.6% of 88 movements22.0% of 91 movements12.9% of 124 movements11.2% of 125 movements37.7% of 154 movements202239.7% of 136 movements28.3% of 138 movements37.8% of 156 movements59.6% of 151 movements47.4% of 156 movements35.8% of 165 movements37.6% of 202 movements25.7% of 218 movements40.5% of 210 movements42.7% of 218 movements8.6% of 198 movements24.9% of 205 movements202323.9% of 201 movements17.2% of 180 movements18.8% of 202 movements10.3% of 195 movements13.5% of 208 movements11.9% of 201 movements19.6% of 209 movements9.6% of 208 movements13.4% of 202 movements23.8% of 210 movements26.6% of 244 movements20.9% of 239 movements202419.1% of 251 movements26.4% of 235 movements7.9% of 253 movements30.0% of 270 movements21.8% of 275 movements20.1% of 269 movements15.5% of 271 movements18.9% of 280 movements13.3% of 270 movements28.6% of 266 movements5.9% of 271 movements9.7% of 279 movements202511.5% of 278 movements7.1% of 252 movements10.2% of 256 movements12.4% of 291 movements12.5% of 279 movements32.0% of 284 movements9.6% of 301 movements14.3% of 301 movements20.5% of 292 movements13.3% of 309 movements7.9% of 341 movements15.3% of 353 movements202628.9% of 356 movements19.6% of 296 movements74.3% of 140 movements33.8% of 145 movements4.3% of 186 movements34.9% of 186 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan23.9%11.5–45.0%7 months, 1,641 flights
Feb19.6%7.1–28.3%7 months, 1,486 flights
Mar18.8%7.9–74.3%7 months, 1,431 flights
Apr30.0%10.3–59.6%7 months, 1,442 flights
May12.6%3.8–47.4%7 months, 1,480 flights
Jun22.2%10.1–35.8%7 months, 1,491 flights
Jul16.6%9.6–37.6%6 months, 1,384 flights
Aug18.3%9.6–25.7%6 months, 1,409 flights
Sep22.8%13.3–40.5%6 months, 1,362 flights
Oct24.1%13.3–42.7%6 months, 1,404 flights
Nov11.2%5.9–26.6%6 months, 1,442 flights
Dec19.7%9.7–25.8%6 months, 1,509 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: Qatar Airways 19.6% of 2,746 movements, British Airways 22.2% of 460 movements. The gap between them sits inside sampling noise.

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 Airways22.2% of 460 flightsQatar Airways19.6% of 2,746 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Canadasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
American Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways46022.2% of 460 movements4.6% of 460 movements0.2% of 460 movementsdescriptive comparison
La Compagniesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Qatar Airways2,74619.6% of 2,746 movements3.6% of 2,746 movements0.4% of 2,746 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 20.0% of 619 movements and BHX the highest at 21.2% of 335 movements. This route sits at 20.0% of 3,206 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 ↔ Doha-Hamad21.2% of 335 flightsEdi ↔ Doha-Hamad20.0% of 619 flightsLgw ↔ Doha-Hamad20.3% of 477 flightsMan ↔ Doha-Hamad20.8% of 1,163 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Doha-Hamad33521.2% of 335 movements4.5% of 335 movementsno events in 335 movementsdescriptive comparison
Cwl ↔ Doha-Hamadsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Doha-Hamad61920.0% of 619 movements7.1% of 619 movements0.5% of 619 movementsdescriptive comparison
Gla ↔ Doha-Hamadsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Doha-Hamad47720.3% of 477 movements7.8% of 477 movements0.2% of 477 movementsdescriptive comparison
Man ↔ Doha-Hamad1,16320.8% of 1,163 movements5.6% of 1,163 movements0.3% of 1,163 movementsdescriptive comparison
Stn ↔ Doha-Hamadsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 20.0% of 3,206 movements disrupted, departures 33.9% of 3,206 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 LHR20.0% of 3,206 movements3.7% of 3,206 movements0.4% of 3,206 movements
Departures from LHR33.9% of 3,206 movements4.1% of 3,206 movements0.4% of 3,206 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 202671 flights out of 19,92871 × £520 = £36,920
ArrivalsLast 72 months · Jul 2020–Jun 202656 flights out of 14,36456 × £520 = £29,120
DeparturesWhole archive · Jan 2018–Jun 202689 flights out of 20,09289 × £520 = £46,280
DeparturesLast 72 months · Jul 2020–Jun 202669 flights out of 14,52469 × £520 = £35,880
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 / countryDOHA HAMAD / QATAR
Final point codesDOH / OTHH
Great-circle distance5,241 km
Maximum statutory amount for the band£520
Average operated arrivals per day8.46
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: 3,206; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

20.0% of 3,206 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

3.7% of 3,206 movements in the same window.

How many delays crossed three hours?

0.4% of 3,206 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?

5,241 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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