UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ WASHINGTON DULLES

In the twelve months from July 2025 to June 2026, 25.1% of 1,996 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, 74.9% of 1,996 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 50 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, 25.1% of 1,996 movements were disrupted and 2.6% of 1,996 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
25.1% of 1,996 movements2.6% of 1,996 movements37.0–79.9 min; N of delayed flights=448–9151,996
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: 2.6% of 1,996 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 min22.4%30 min13.9%60 min7.4%120 min3.7%180 min2.0%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.4% of 1,996 movements4484.5
>30 min13.9% of 1,996 movements2787.2
>60 min7.4% of 1,996 movements14813.5
>120 min3.7% of 1,996 movements7327.3
>180 min2.0% of 1,996 movements4049.9
>360 min0.2% of 1,996 movements4499.0
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 early40220.1%15–1 early62731.4%0–15 late46723.4%16–301708.5%31–601306.5%61…120753.8%121…180331.7%181…360361.8%>36040.2%D=1,996
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.1333; 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: Oct 2020, 4.8% of 62 movements. Worst month: Sep 2024, 62.5% of 152 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: 6.1%; sample: 1792018Feb 2018: 17.0%; sample: 165Mar 2018: 32.1%; sample: 184Apr 2018: 8.3%; sample: 180May 2018: 21.8%; sample: 188Jun 2018: 22.8%; sample: 180Jul 2018: 23.7%; sample: 186Aug 2018: 19.9%; sample: 186Sep 2018: 17.2%; sample: 186Oct 2018: 11.6%; sample: 190Nov 2018: 21.5%; sample: 186Dec 2018: 18.1%; sample: 182Jan 2019: 16.7%; sample: 1922019Feb 2019: 9.7%; sample: 176Mar 2019: 11.3%; sample: 194Apr 2019: 11.4%; sample: 175May 2019: 29.6%; sample: 186Jun 2019: 36.7%; sample: 180Jul 2019: 37.4%; sample: 187Aug 2019: 23.5%; sample: 187Sep 2019: 10.8%; sample: 176Oct 2019: 16.1%; sample: 186Nov 2019: 14.3%; sample: 168Dec 2019: 14.7%; sample: 170Jan 2020: 11.6%; sample: 1812020Feb 2020: 9.0%; sample: 167Mar 2020: 10.2%; sample: 128Apr 2020: 6.9%; sample: 29May 2020: 0.0%; sample: 31Jun 2020: 6.7%; sample: 30Jul 2020: 7.1%; sample: 56Aug 2020: 11.3%; sample: 62Sep 2020: 5.0%; sample: 60Oct 2020: 4.8%; sample: 62Nov 2020: 13.0%; sample: 54Dec 2020: 19.6%; sample: 56Jan 2021: 21.2%; sample: 332021Feb 2021: 15.6%; sample: 45Mar 2021: 9.4%; sample: 53Apr 2021: 6.7%; sample: 60May 2021: 8.1%; sample: 62Jun 2021: 25.4%; sample: 59Jul 2021: 25.8%; sample: 62Aug 2021: 38.7%; sample: 93Sep 2021: 21.7%; sample: 120Oct 2021: 23.4%; sample: 124Nov 2021: 13.9%; sample: 115Dec 2021: 15.8%; sample: 120Jan 2022: 19.4%; sample: 1082022Feb 2022: 15.3%; sample: 72Mar 2022: 18.2%; sample: 132Apr 2022: 40.4%; sample: 156May 2022: 37.8%; sample: 156Jun 2022: 43.1%; sample: 160Jul 2022: 32.7%; sample: 165Aug 2022: 39.1%; sample: 133Sep 2022: 37.3%; sample: 126Oct 2022: 27.1%; sample: 133Nov 2022: 21.0%; sample: 143Dec 2022: 49.3%; sample: 144Jan 2023: 20.8%; sample: 1442023Feb 2023: 25.5%; sample: 141Mar 2023: 36.6%; sample: 186Apr 2023: 35.5%; sample: 183May 2023: 32.8%; sample: 180Jun 2023: 51.4%; sample: 181Jul 2023: 46.0%; sample: 187Aug 2023: 37.4%; sample: 187Sep 2023: 38.0%; sample: 184Oct 2023: 21.6%; sample: 185Nov 2023: 16.0%; sample: 144Dec 2023: 24.0%; sample: 150Jan 2024: 19.2%; sample: 1302024Feb 2024: 13.8%; sample: 116Mar 2024: 18.8%; sample: 144Apr 2024: 38.9%; sample: 149May 2024: 54.8%; sample: 155Jun 2024: 46.7%; sample: 150Jul 2024: 41.0%; sample: 156Aug 2024: 50.6%; sample: 156Sep 2024: 62.5%; sample: 152Oct 2024: 24.7%; sample: 154Nov 2024: 30.0%; sample: 150Dec 2024: 28.4%; sample: 155Jan 2025: 27.9%; sample: 1542025Feb 2025: 19.7%; sample: 127Mar 2025: 21.4%; sample: 154Apr 2025: 25.0%; sample: 160May 2025: 36.0%; sample: 186Jun 2025: 38.9%; sample: 180Jul 2025: 49.7%; sample: 185Aug 2025: 30.1%; sample: 186Sep 2025: 18.3%; sample: 180Oct 2025: 27.1%; sample: 170Nov 2025: 19.3%; sample: 150Dec 2025: 25.7%; sample: 152Jan 2026: 17.2%; sample: 1452026Feb 2026: 18.9%; sample: 127Mar 2026: 17.6%; sample: 153Apr 2026: 21.7%; sample: 180May 2026: 22.6%; sample: 186Jun 2026: 26.4%; sample: 182Pandemic 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 20186.1% of 179 movements
Feb 201817.0% of 165 movements
Mar 201832.1% of 184 movements
Apr 20188.3% of 180 movements
May 201821.8% of 188 movements
Jun 201822.8% of 180 movements
Jul 201823.7% of 186 movements
Aug 201819.9% of 186 movements
Sep 201817.2% of 186 movements
Oct 201811.6% of 190 movements
Nov 201821.5% of 186 movements
Dec 201818.1% of 182 movements
Jan 201916.7% of 192 movements
Feb 20199.7% of 176 movements
Mar 201911.3% of 194 movements
Apr 201911.4% of 175 movements
May 201929.6% of 186 movements
Jun 201936.7% of 180 movements
Jul 201937.4% of 187 movements
Aug 201923.5% of 187 movements
Sep 201910.8% of 176 movements
Oct 201916.1% of 186 movements
Nov 201914.3% of 168 movements
Dec 201914.7% of 170 movements
Jan 202011.6% of 181 movements
Feb 20209.0% of 167 movements
Mar 202010.2% of 128 movements
Apr 20206.9% of 29 movements — small sample, not ranked
May 2020no events in 31 movements — small sample, not ranked
Jun 20206.7% of 30 movements — small sample, not ranked
Jul 20207.1% of 56 movements
Aug 202011.3% of 62 movements
Sep 20205.0% of 60 movements
Oct 20204.8% of 62 movements
Nov 202013.0% of 54 movements
Dec 202019.6% of 56 movements
Jan 202121.2% of 33 movements — small sample, not ranked
Feb 202115.6% of 45 movements — small sample, not ranked
Mar 20219.4% of 53 movements
Apr 20216.7% of 60 movements
May 20218.1% of 62 movements
Jun 202125.4% of 59 movements
Jul 202125.8% of 62 movements
Aug 202138.7% of 93 movements
Sep 202121.7% of 120 movements
Oct 202123.4% of 124 movements
Nov 202113.9% of 115 movements
Dec 202115.8% of 120 movements
Jan 202219.4% of 108 movements
Feb 202215.3% of 72 movements
Mar 202218.2% of 132 movements
Apr 202240.4% of 156 movements
May 202237.8% of 156 movements
Jun 202243.1% of 160 movements
Jul 202232.7% of 165 movements
Aug 202239.1% of 133 movements
Sep 202237.3% of 126 movements
Oct 202227.1% of 133 movements
Nov 202221.0% of 143 movements
Dec 202249.3% of 144 movements
Jan 202320.8% of 144 movements
Feb 202325.5% of 141 movements
Mar 202336.6% of 186 movements
Apr 202335.5% of 183 movements
May 202332.8% of 180 movements
Jun 202351.4% of 181 movements
Jul 202346.0% of 187 movements
Aug 202337.4% of 187 movements
Sep 202338.0% of 184 movements
Oct 202321.6% of 185 movements
Nov 202316.0% of 144 movements
Dec 202324.0% of 150 movements
Jan 202419.2% of 130 movements
Feb 202413.8% of 116 movements
Mar 202418.8% of 144 movements
Apr 202438.9% of 149 movements
May 202454.8% of 155 movements
Jun 202446.7% of 150 movements
Jul 202441.0% of 156 movements
Aug 202450.6% of 156 movements
Sep 202462.5% of 152 movements
Oct 202424.7% of 154 movements
Nov 202430.0% of 150 movements
Dec 202428.4% of 155 movements
Jan 202527.9% of 154 movements
Feb 202519.7% of 127 movements
Mar 202521.4% of 154 movements
Apr 202525.0% of 160 movements
May 202536.0% of 186 movements
Jun 202538.9% of 180 movements
Jul 202549.7% of 185 movements
Aug 202530.1% of 186 movements
Sep 202518.3% of 180 movements
Oct 202527.1% of 170 movements
Nov 202519.3% of 150 movements
Dec 202525.7% of 152 movements
Jan 202617.2% of 145 movements
Feb 202618.9% of 127 movements
Mar 202617.6% of 153 movements
Apr 202621.7% of 180 movements
May 202622.6% of 186 movements
Jun 202626.4% of 182 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 2020Arrivals6.7% of 30 movements — small sample, not ranked15.9% across 1,790 flightsreturned the next month
Pandemic regime · Jun 2020Departures33.3% of 30 movements — small sample, not ranked17.9% across 1,794 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals32.7% of 165 movements26.1% across 1,418 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures60.6% of 165 movements30.2% across 1,418 flightsreturned after 3 months
NATS system failure · Aug 2023Arrivals37.4% of 187 movements35.2% across 1,881 flightsreturned after 2 months
NATS system failure · Aug 2023Departures34.9% of 186 movements32.9% across 1,881 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals21.4% of 154 movements37.0% across 1,802 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures30.1% of 153 movements31.3% across 1,801 flightsreturned the next month
Definitions, denominators and limits

The baseline is the unweighted mean share over the twelve preceding calendar months. The return window is the following eight months, up to the end of the archive. Return means the first observed value at or below the baseline; it is not the duration of the disruption itself. If the event month is already below the baseline, counting still starts the month after. Gaps and suppressed cells are not treated as zeros or as recovery.

Which time of year has historically been hardest?

July has historically been the hardest month on this route: in a typical July, 39.2% of arrivals were disrupted, measured across 6 Julys in the archive. February has been the calmest, at 17.0% across 7 Februarys.

Even July has ranged from 23.7% to 49.7% in different years, so this is a record of what happened, not a forecast of what will. Lower is better throughout.

Each cell is one calendar month of one year; the number is the share of that month’s arrivals that were disrupted. Darker means worse. A blank cell means no published data, not zero.

Seasonality: calendar month by year; share and nJanFebMarAprMayJunJulAugSepOctNovDec201916.7% of 192 movements9.7% of 176 movements11.3% of 194 movements11.4% of 175 movements29.6% of 186 movements36.7% of 180 movements37.4% of 187 movements23.5% of 187 movements10.8% of 176 movements16.1% of 186 movements14.3% of 168 movements14.7% of 170 movements202011.6% of 181 movements9.0% of 167 movements10.2% of 128 movements6.9% of 29 movements †no events in 31 movements †6.7% of 30 movements †7.1% of 56 movements11.3% of 62 movements5.0% of 60 movements4.8% of 62 movements13.0% of 54 movements19.6% of 56 movements202121.2% of 33 movements †15.6% of 45 movements †9.4% of 53 movements6.7% of 60 movements8.1% of 62 movements25.4% of 59 movements25.8% of 62 movements38.7% of 93 movements21.7% of 120 movements23.4% of 124 movements13.9% of 115 movements15.8% of 120 movements202219.4% of 108 movements15.3% of 72 movements18.2% of 132 movements40.4% of 156 movements37.8% of 156 movements43.1% of 160 movements32.7% of 165 movements39.1% of 133 movements37.3% of 126 movements27.1% of 133 movements21.0% of 143 movements49.3% of 144 movements202320.8% of 144 movements25.5% of 141 movements36.6% of 186 movements35.5% of 183 movements32.8% of 180 movements51.4% of 181 movements46.0% of 187 movements37.4% of 187 movements38.0% of 184 movements21.6% of 185 movements16.0% of 144 movements24.0% of 150 movements202419.2% of 130 movements13.8% of 116 movements18.8% of 144 movements38.9% of 149 movements54.8% of 155 movements46.7% of 150 movements41.0% of 156 movements50.6% of 156 movements62.5% of 152 movements24.7% of 154 movements30.0% of 150 movements28.4% of 155 movements202527.9% of 154 movements19.7% of 127 movements21.4% of 154 movements25.0% of 160 movements36.0% of 186 movements38.9% of 180 movements49.7% of 185 movements30.1% of 186 movements18.3% of 180 movements27.1% of 170 movements19.3% of 150 movements25.7% of 152 movements202617.2% of 145 movements18.9% of 127 movements17.6% of 153 movements21.7% of 180 movements22.6% of 186 movements26.4% of 182 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan19.2%6.1–27.9%7 months, 1,052 flights
Feb17.0%9.7–25.5%7 months, 924 flights
Mar18.8%11.3–36.6%7 months, 1,147 flights
Apr25.0%8.3–40.4%7 months, 1,183 flights
May32.8%21.8–54.8%7 months, 1,237 flights
Jun38.9%22.8–51.4%7 months, 1,213 flights
Jul39.2%23.7–49.7%6 months, 1,066 flights
Aug33.8%19.9–50.6%6 months, 1,035 flights
Sep27.8%10.8–62.5%6 months, 1,004 flights
Oct23.1%11.6–27.1%6 months, 1,018 flights
Nov20.2%14.3–30.0%6 months, 941 flights
Dec24.8%14.7–49.3%6 months, 953 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: Virgin Atlantic International 18.4% of 38 movements — small sample, not ranked, Virgin Atlantic Airways 19.2% of 313 movements, British Airways 21.1% of 914 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 Airways21.1% of 914 flightsUnited Airlines32.8% of 731 flightsVirgin Atlantic Airways19.2% of 313 flightsVirgin Atlantic International †18.4% of 38 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways91421.1% of 914 movements2.5% of 914 movements1.3% of 914 movementsdescriptive comparison
United Airlines73132.8% of 731 movements2.3% of 731 movements3.3% of 731 movementsdescriptive comparison
Virgin Atlantic Airways31319.2% of 313 movements3.8% of 313 movements1.0% of 313 movementsdescriptive comparison
Virgin Atlantic International3818.4% of 38 movements — small sample, not rankedno events in 38 movements — small sample, not ranked2.6% of 38 movements — small sample, not rankedsmall sample; not ranked

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 33.2% of 280 movements and EDI the highest at 33.2% of 280 movements. This route sits at 25.1% of 1,996 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 optionEdi ↔ Washington-Dulles33.2% of 280 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Washington-Dullessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Washington-Dullessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Washington-Dullessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Washington-Dulles28033.2% of 280 movements2.1% of 280 movements1.8% of 280 movementsdescriptive comparison
Lgw ↔ Washington-Dullessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Washington-Dullessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Washington-Dullessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Washington-Dullessuppressed: 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 LHR ran 25.1% of 1,996 movements disrupted, departures 26.1% of 2,000 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 LHR25.1% of 1,996 movements2.6% of 1,996 movements2.0% of 1,996 movements
Departures from LHR26.1% of 2,000 movements2.4% of 2,000 movements0.7% of 2,000 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 2026181 flights out of 14,635181 × £520 = £94,120
ArrivalsLast 72 months · Jul 2020–Jun 2026147 flights out of 9,700147 × £520 = £76,440
DeparturesWhole archive · Jan 2018–Jun 2026114 flights out of 14,646114 × £520 = £59,280
DeparturesLast 72 months · Jul 2020–Jun 202678 flights out of 9,70378 × £520 = £40,560
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 / countryWASHINGTON (DULLES) / USA
Final point codesIAD / KIAD
Great-circle distance5,902 km
Maximum statutory amount for the band£520
Average operated arrivals per day5.33
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthJan 2018–Jun 2026
Months with operations in the 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: 1,996; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

25.1% of 1,996 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.6% of 1,996 movements in the same window.

How many delays crossed three hours?

2.0% of 1,996 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?

5,902 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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