UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ MIAMI INTERNATIONAL

In the twelve months from July 2025 to June 2026, 20.5% of 1,944 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, 79.5% of 1,944 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 139 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, 20.5% of 1,944 movements were disrupted and 1.6% of 1,944 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
20.5% of 1,944 movements1.6% of 1,944 movements42.6–80.3 min; N of delayed flights=367–6471,944
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: 1.6% of 1,944 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 min18.9%30 min12.4%60 min5.5%120 min1.7%180 min0.7%360 min0.3%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min18.9% of 1,944 movements3675.3
>30 min12.4% of 1,944 movements2418.1
>60 min5.5% of 1,944 movements10718.2
>120 min1.7% of 1,944 movements3358.9
>180 min0.7% of 1,944 movements14138.9
>360 min0.3% of 1,944 movements6324.0
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 early83242.8%15–1 early43422.3%0–15 late28014.4%16–301266.5%31–601346.9%61…120743.8%121…180191.0%181…36080.4%>36060.3%D=1,944
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0538; 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: May 2021, 4.5% of 67 movements. Worst month: Dec 2021, 54.5% of 121 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: 15.7%; sample: 1662018Feb 2018: 29.1%; sample: 151Mar 2018: 31.8%; sample: 170Apr 2018: 21.3%; sample: 150May 2018: 28.6%; sample: 154Jun 2018: 35.3%; sample: 150Jul 2018: 49.7%; sample: 155Aug 2018: 33.5%; sample: 155Sep 2018: 26.0%; sample: 150Oct 2018: 20.5%; sample: 156Nov 2018: 14.4%; sample: 181Dec 2018: 20.4%; sample: 181Jan 2019: 22.6%; sample: 1772019Feb 2019: 13.3%; sample: 158Mar 2019: 18.0%; sample: 178Apr 2019: 13.9%; sample: 151May 2019: 25.8%; sample: 155Jun 2019: 35.3%; sample: 150Jul 2019: 25.8%; sample: 155Aug 2019: 38.5%; sample: 156Sep 2019: 22.9%; sample: 144Oct 2019: 21.5%; sample: 163Nov 2019: 13.6%; sample: 177Dec 2019: 16.3%; sample: 178Jan 2020: 11.4%; sample: 1672020Feb 2020: 14.5%; sample: 165Mar 2020: 13.8%; sample: 152Apr 2020: 22.9%; sample: 35May 2020: 9.4%; sample: 32Jun 2020: 9.7%; sample: 31Jul 2020: 6.5%; sample: 62Aug 2020: 6.0%; sample: 67Sep 2020: 7.1%; sample: 70Oct 2020: 12.5%; sample: 72Nov 2020: 11.9%; sample: 67Dec 2020: 5.9%; sample: 51Jan 2021: 27.3%; sample: 442021Feb 2021: 3.1%; sample: 32Mar 2021: 12.8%; sample: 39Apr 2021: 14.1%; sample: 64May 2021: 4.5%; sample: 67Jun 2021: 18.6%; sample: 70Jul 2021: 20.0%; sample: 75Aug 2021: 25.3%; sample: 75Sep 2021: 23.3%; sample: 86Oct 2021: 9.6%; sample: 94Nov 2021: 39.8%; sample: 113Dec 2021: 54.5%; sample: 121Jan 2022: 44.7%; sample: 1232022Feb 2022: 32.1%; sample: 109Mar 2022: 38.7%; sample: 124Apr 2022: 50.8%; sample: 120May 2022: 40.7%; sample: 123Jun 2022: 44.3%; sample: 122Jul 2022: 42.9%; sample: 126Aug 2022: 37.1%; sample: 124Sep 2022: 49.2%; sample: 120Oct 2022: 40.5%; sample: 126Nov 2022: 30.7%; sample: 166Dec 2022: 47.0%; sample: 183Jan 2023: 41.8%; sample: 1822023Feb 2023: 49.4%; sample: 162Mar 2023: 34.3%; sample: 172Apr 2023: 45.1%; sample: 133May 2023: 38.4%; sample: 138Jun 2023: 39.8%; sample: 133Jul 2023: 37.2%; sample: 137Aug 2023: 35.8%; sample: 137Sep 2023: 39.8%; sample: 133Oct 2023: 23.4%; sample: 141Nov 2023: 28.7%; sample: 171Dec 2023: 41.3%; sample: 189Jan 2024: 33.0%; sample: 2032024Feb 2024: 23.2%; sample: 168Mar 2024: 36.4%; sample: 187Apr 2024: 22.0%; sample: 150May 2024: 28.7%; sample: 157Jun 2024: 35.1%; sample: 151Jul 2024: 29.7%; sample: 155Aug 2024: 30.3%; sample: 155Sep 2024: 32.7%; sample: 150Oct 2024: 17.7%; sample: 147Nov 2024: 30.8%; sample: 182Dec 2024: 52.7%; sample: 186Jan 2025: 32.2%; sample: 1832025Feb 2025: 21.7%; sample: 157Mar 2025: 43.1%; sample: 181Apr 2025: 14.0%; sample: 150May 2025: 23.1%; sample: 156Jun 2025: 20.5%; sample: 151Jul 2025: 21.3%; sample: 155Aug 2025: 20.8%; sample: 154Sep 2025: 22.0%; sample: 150Oct 2025: 14.1%; sample: 156Nov 2025: 14.3%; sample: 161Dec 2025: 22.8%; sample: 167Jan 2026: 20.3%; sample: 1582026Feb 2026: 21.4%; sample: 168Mar 2026: 25.9%; sample: 170Apr 2026: 27.8%; sample: 180May 2026: 19.2%; sample: 177Jun 2026: 14.2%; sample: 148Pandemic 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 201815.7% of 166 movements
Feb 201829.1% of 151 movements
Mar 201831.8% of 170 movements
Apr 201821.3% of 150 movements
May 201828.6% of 154 movements
Jun 201835.3% of 150 movements
Jul 201849.7% of 155 movements
Aug 201833.5% of 155 movements
Sep 201826.0% of 150 movements
Oct 201820.5% of 156 movements
Nov 201814.4% of 181 movements
Dec 201820.4% of 181 movements
Jan 201922.6% of 177 movements
Feb 201913.3% of 158 movements
Mar 201918.0% of 178 movements
Apr 201913.9% of 151 movements
May 201925.8% of 155 movements
Jun 201935.3% of 150 movements
Jul 201925.8% of 155 movements
Aug 201938.5% of 156 movements
Sep 201922.9% of 144 movements
Oct 201921.5% of 163 movements
Nov 201913.6% of 177 movements
Dec 201916.3% of 178 movements
Jan 202011.4% of 167 movements
Feb 202014.5% of 165 movements
Mar 202013.8% of 152 movements
Apr 202022.9% of 35 movements — small sample, not ranked
May 20209.4% of 32 movements — small sample, not ranked
Jun 20209.7% of 31 movements — small sample, not ranked
Jul 20206.5% of 62 movements
Aug 20206.0% of 67 movements
Sep 20207.1% of 70 movements
Oct 202012.5% of 72 movements
Nov 202011.9% of 67 movements
Dec 20205.9% of 51 movements
Jan 202127.3% of 44 movements — small sample, not ranked
Feb 20213.1% of 32 movements — small sample, not ranked
Mar 202112.8% of 39 movements — small sample, not ranked
Apr 202114.1% of 64 movements
May 20214.5% of 67 movements
Jun 202118.6% of 70 movements
Jul 202120.0% of 75 movements
Aug 202125.3% of 75 movements
Sep 202123.3% of 86 movements
Oct 20219.6% of 94 movements
Nov 202139.8% of 113 movements
Dec 202154.5% of 121 movements
Jan 202244.7% of 123 movements
Feb 202232.1% of 109 movements
Mar 202238.7% of 124 movements
Apr 202250.8% of 120 movements
May 202240.7% of 123 movements
Jun 202244.3% of 122 movements
Jul 202242.9% of 126 movements
Aug 202237.1% of 124 movements
Sep 202249.2% of 120 movements
Oct 202240.5% of 126 movements
Nov 202230.7% of 166 movements
Dec 202247.0% of 183 movements
Jan 202341.8% of 182 movements
Feb 202349.4% of 162 movements
Mar 202334.3% of 172 movements
Apr 202345.1% of 133 movements
May 202338.4% of 138 movements
Jun 202339.8% of 133 movements
Jul 202337.2% of 137 movements
Aug 202335.8% of 137 movements
Sep 202339.8% of 133 movements
Oct 202323.4% of 141 movements
Nov 202328.7% of 171 movements
Dec 202341.3% of 189 movements
Jan 202433.0% of 203 movements
Feb 202423.2% of 168 movements
Mar 202436.4% of 187 movements
Apr 202422.0% of 150 movements
May 202428.7% of 157 movements
Jun 202435.1% of 151 movements
Jul 202429.7% of 155 movements
Aug 202430.3% of 155 movements
Sep 202432.7% of 150 movements
Oct 202417.7% of 147 movements
Nov 202430.8% of 182 movements
Dec 202452.7% of 186 movements
Jan 202532.2% of 183 movements
Feb 202521.7% of 157 movements
Mar 202543.1% of 181 movements
Apr 202514.0% of 150 movements
May 202523.1% of 156 movements
Jun 202520.5% of 151 movements
Jul 202521.3% of 155 movements
Aug 202520.8% of 154 movements
Sep 202522.0% of 150 movements
Oct 202514.1% of 156 movements
Nov 202514.3% of 161 movements
Dec 202522.8% of 167 movements
Jan 202620.3% of 158 movements
Feb 202621.4% of 168 movements
Mar 202625.9% of 170 movements
Apr 202627.8% of 180 movements
May 202619.2% of 177 movements
Jun 202614.2% of 148 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 2020Arrivals9.7% of 31 movements — small sample, not ranked20.5% across 1,674 flightsreturned the next month
Pandemic regime · Jun 2020Departuresno events in 30 movements — small sample, not ranked23.3% across 1,666 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals42.9% of 126 movements35.3% across 1,285 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures64.3% of 126 movements34.9% across 1,287 flightsreturned after 7 months
NATS system failure · Aug 2023Arrivals35.8% of 137 movements40.9% across 1,776 flightsreturned the next month
NATS system failure · Aug 2023Departures30.2% of 139 movements39.9% across 1,775 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals43.1% of 181 movements30.8% across 1,960 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures27.3% of 183 movements31.2% across 1,962 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?

June has historically been the hardest month on this route: in a typical June, 35.3% of arrivals were disrupted, measured across 7 Junes in the archive. October has been the calmest, at 21.0% across 6 Octobers.

Even June has ranged from 14.2% to 44.3% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201922.6% of 177 movements13.3% of 158 movements18.0% of 178 movements13.9% of 151 movements25.8% of 155 movements35.3% of 150 movements25.8% of 155 movements38.5% of 156 movements22.9% of 144 movements21.5% of 163 movements13.6% of 177 movements16.3% of 178 movements202011.4% of 167 movements14.5% of 165 movements13.8% of 152 movements22.9% of 35 movements †9.4% of 32 movements †9.7% of 31 movements †6.5% of 62 movements6.0% of 67 movements7.1% of 70 movements12.5% of 72 movements11.9% of 67 movements5.9% of 51 movements202127.3% of 44 movements †3.1% of 32 movements †12.8% of 39 movements †14.1% of 64 movements4.5% of 67 movements18.6% of 70 movements20.0% of 75 movements25.3% of 75 movements23.3% of 86 movements9.6% of 94 movements39.8% of 113 movements54.5% of 121 movements202244.7% of 123 movements32.1% of 109 movements38.7% of 124 movements50.8% of 120 movements40.7% of 123 movements44.3% of 122 movements42.9% of 126 movements37.1% of 124 movements49.2% of 120 movements40.5% of 126 movements30.7% of 166 movements47.0% of 183 movements202341.8% of 182 movements49.4% of 162 movements34.3% of 172 movements45.1% of 133 movements38.4% of 138 movements39.8% of 133 movements37.2% of 137 movements35.8% of 137 movements39.8% of 133 movements23.4% of 141 movements28.7% of 171 movements41.3% of 189 movements202433.0% of 203 movements23.2% of 168 movements36.4% of 187 movements22.0% of 150 movements28.7% of 157 movements35.1% of 151 movements29.7% of 155 movements30.3% of 155 movements32.7% of 150 movements17.7% of 147 movements30.8% of 182 movements52.7% of 186 movements202532.2% of 183 movements21.7% of 157 movements43.1% of 181 movements14.0% of 150 movements23.1% of 156 movements20.5% of 151 movements21.3% of 155 movements20.8% of 154 movements22.0% of 150 movements14.1% of 156 movements14.3% of 161 movements22.8% of 167 movements202620.3% of 158 movements21.4% of 168 movements25.9% of 170 movements27.8% of 180 movements19.2% of 177 movements14.2% of 148 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan32.2%15.7–44.7%7 months, 1,192 flights
Feb23.2%13.3–49.4%7 months, 1,073 flights
Mar34.3%18.0–43.1%7 months, 1,182 flights
Apr22.0%13.9–50.8%7 months, 1,034 flights
May28.6%19.2–40.7%7 months, 1,060 flights
Jun35.3%14.2–44.3%7 months, 1,005 flights
Jul33.5%21.3–49.7%6 months, 883 flights
Aug34.7%20.8–38.5%6 months, 881 flights
Sep29.3%22.0–49.2%6 months, 847 flights
Oct21.0%14.1–40.5%6 months, 889 flights
Nov21.5%13.6–30.8%6 months, 1,038 flights
Dec32.0%16.3–52.7%6 months, 1,084 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 9.1% of 44 movements — small sample, not ranked, Virgin Atlantic Airways 13.3% of 682 movements, British Airways 19.1% of 607 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 optionAmerican Airlines30.6% of 611 flightsBritish Airways19.1% of 607 flightsVirgin Atlantic Airways13.3% of 682 flightsVirgin Atlantic International †9.1% of 44 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
American Airlines61130.6% of 611 movements0.8% of 611 movements1.5% of 611 movementsdescriptive comparison
British Airways60719.1% of 607 movements1.6% of 607 movements0.5% of 607 movementsdescriptive comparison
Lufthansasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Privilege Stylesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Virgin Atlantic Airways68213.3% of 682 movements2.3% of 682 movements0.3% of 682 movementsdescriptive comparison
Virgin Atlantic International449.1% of 44 movements — small sample, not rankedno events in 44 movements — small sample, not rankedno events in 44 movements — small sample, not rankedsmall sample; not ranked
Wamos Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

The noise check is a descriptive approximation assuming independent operations. Delay correlation and mix differences are not estimated; no ranking is derived.

Would another UK airport have been better?

Among UK airports flying to this city with enough flights to publish, LGW had the lowest disruption share at 16.7% of 78 movements and LGW the highest at 16.7% of 78 movements. This route sits at 20.5% of 1,944 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 optionLgw ↔ Miami-International16.7% of 78 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Gla ↔ Miami-Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Miami-International7816.7% of 78 movements1.3% of 78 movementsno events in 78 movementsdescriptive comparison
Ltn ↔ Miami-Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Miami-Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Miami-Internationalsuppressed: 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 20.5% of 1,944 movements disrupted, departures 24.7% of 1,948 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 LHR20.5% of 1,944 movements1.6% of 1,944 movements0.7% of 1,944 movements
Departures from LHR24.7% of 1,948 movements2.0% of 1,948 movements0.6% of 1,948 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 2026179 flights out of 14,019179 × £520 = £93,080
ArrivalsLast 72 months · Jul 2020–Jun 2026137 flights out of 9,576137 × £520 = £71,240
DeparturesWhole archive · Jan 2018–Jun 2026129 flights out of 14,001129 × £520 = £67,080
DeparturesLast 72 months · Jul 2020–Jun 2026103 flights out of 9,566103 × £520 = £53,560
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 / countryMIAMI INTERNATIONAL / USA
Final point codesMIA / KMIA
Great-circle distance7,109 km
Maximum statutory amount for the band£520
Average operated arrivals per day5.24
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: 1,944; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

20.5% of 1,944 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.6% of 1,944 movements in the same window.

How many delays crossed three hours?

0.7% of 1,944 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?

7,109 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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