UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ CAPE TOWN

In the twelve months from July 2025 to June 2026, 10.7% of 766 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, 89.3% of 766 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 77 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, 10.7% of 766 movements were disrupted and 0.7% of 766 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
10.7% of 766 movements0.7% of 766 movements49.0–128.0 min; N of delayed flights=77–186766
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: 0.7% of 766 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 min10.1%30 min5.4%60 min2.9%120 min2.1%180 min1.3%360 min0.7%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min10.1% of 766 movements779.9
>30 min5.4% of 766 movements4118.7
>60 min2.9% of 766 movements2234.8
>120 min2.1% of 766 movements1647.9
>180 min1.3% of 766 movements1076.6
>360 min0.7% of 766 movements5153.2
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 early29037.9%15–1 early28537.2%0–15 late10914.2%16–30364.7%31–60192.5%61…12060.8%121…18060.8%181…36050.7%>36050.7%D=766
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.1818; 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: Jan 2020, 3.2% of 63 movements. Worst month: Dec 2023, 34.8% of 92 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: 7.8%; sample: 642018Feb 2018: 15.3%; sample: 59Mar 2018: 5.2%; sample: 58Apr 2018: 0.0%; sample: 34May 2018: 9.7%; sample: 31Jun 2018: 3.3%; sample: 30Jul 2018: 9.7%; sample: 31Aug 2018: 0.0%; sample: 31Sep 2018: 3.3%; sample: 30Oct 2018: 6.1%; sample: 33Nov 2018: 11.7%; sample: 60Dec 2018: 8.1%; sample: 62Jan 2019: 3.2%; sample: 622019Feb 2019: 7.1%; sample: 56Mar 2019: 8.1%; sample: 62Apr 2019: 9.7%; sample: 31May 2019: 3.2%; sample: 31Jun 2019: 3.3%; sample: 30Jul 2019: 0.0%; sample: 31Aug 2019: 18.8%; sample: 32Sep 2019: 20.7%; sample: 29Oct 2019: 11.8%; sample: 34Nov 2019: 10.0%; sample: 60Dec 2019: 8.1%; sample: 62Jan 2020: 3.2%; sample: 632020Feb 2020: 17.2%; sample: 58Mar 2020: 25.9%; sample: 58Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: suppressed: fewer than twenty movements×Sep 2020: suppressed: fewer than twenty movements×Oct 2020: 20.0%; sample: 30Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 15.4%; sample: 26Jan 2021: suppressed: fewer than twenty movements×2021Feb 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: suppressed: fewer than twenty movements×Jul 2021: no data×Aug 2021: no data×Sep 2021: no data×Oct 2021: suppressed: fewer than twenty movements×Nov 2021: 33.3%; sample: 21Dec 2021: 54.8%; sample: 31Jan 2022: 11.6%; sample: 432022Feb 2022: 16.1%; sample: 56Mar 2022: 22.4%; sample: 58Apr 2022: 3.2%; sample: 31May 2022: 0.0%; sample: 31Jun 2022: 0.0%; sample: 30Jul 2022: 6.5%; sample: 31Aug 2022: 16.1%; sample: 31Sep 2022: 6.7%; sample: 30Oct 2022: 12.9%; sample: 31Nov 2022: 12.5%; sample: 64Dec 2022: 4.3%; sample: 92Jan 2023: 8.6%; sample: 932023Feb 2023: 9.5%; sample: 84Mar 2023: 11.8%; sample: 85Apr 2023: 3.3%; sample: 30May 2023: 6.5%; sample: 31Jun 2023: 6.2%; sample: 32Jul 2023: 6.5%; sample: 31Aug 2023: 12.9%; sample: 31Sep 2023: 3.3%; sample: 30Oct 2023: 22.2%; sample: 36Nov 2023: 32.2%; sample: 90Dec 2023: 34.8%; sample: 92Jan 2024: 32.3%; sample: 932024Feb 2024: 31.0%; sample: 87Mar 2024: 19.6%; sample: 92Apr 2024: 0.0%; sample: 30May 2024: 0.0%; sample: 31Jun 2024: 9.7%; sample: 31Jul 2024: 0.0%; sample: 31Aug 2024: 6.5%; sample: 31Sep 2024: 6.7%; sample: 30Oct 2024: 2.6%; sample: 39Nov 2024: 11.1%; sample: 90Dec 2024: 14.1%; sample: 92Jan 2025: 9.6%; sample: 1142025Feb 2025: 6.3%; sample: 111Mar 2025: 10.1%; sample: 119Apr 2025: 16.7%; sample: 30May 2025: 6.5%; sample: 31Jun 2025: 6.7%; sample: 30Jul 2025: 3.2%; sample: 31Aug 2025: 3.2%; sample: 31Sep 2025: 3.3%; sample: 30Oct 2025: 5.9%; sample: 51Nov 2025: 18.0%; sample: 100Dec 2025: 7.8%; sample: 103Jan 2026: 6.6%; sample: 1062026Feb 2026: 13.5%; sample: 96Mar 2026: 13.2%; sample: 106Apr 2026: 17.6%; sample: 51May 2026: 9.7%; sample: 31Jun 2026: 13.3%; sample: 30Pandemic 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 20187.8% of 64 movements
Feb 201815.3% of 59 movements
Mar 20185.2% of 58 movements
Apr 2018no events in 34 movements — small sample, not ranked
May 20189.7% of 31 movements — small sample, not ranked
Jun 20183.3% of 30 movements — small sample, not ranked
Jul 20189.7% of 31 movements — small sample, not ranked
Aug 2018no events in 31 movements — small sample, not ranked
Sep 20183.3% of 30 movements — small sample, not ranked
Oct 20186.1% of 33 movements — small sample, not ranked
Nov 201811.7% of 60 movements
Dec 20188.1% of 62 movements
Jan 20193.2% of 62 movements
Feb 20197.1% of 56 movements
Mar 20198.1% of 62 movements
Apr 20199.7% of 31 movements — small sample, not ranked
May 20193.2% of 31 movements — small sample, not ranked
Jun 20193.3% of 30 movements — small sample, not ranked
Jul 2019no events in 31 movements — small sample, not ranked
Aug 201918.8% of 32 movements — small sample, not ranked
Sep 201920.7% of 29 movements — small sample, not ranked
Oct 201911.8% of 34 movements — small sample, not ranked
Nov 201910.0% of 60 movements
Dec 20198.1% of 62 movements
Jan 20203.2% of 63 movements
Feb 202017.2% of 58 movements
Mar 202025.9% of 58 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 2020suppressed: fewer than twenty movements
Sep 2020suppressed: fewer than twenty movements
Oct 202020.0% of 30 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 202015.4% of 26 movements — small sample, not ranked
Jan 2021suppressed: fewer than twenty 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 2021suppressed: fewer than twenty movements
Jul 2021no data
Aug 2021no data
Sep 2021no data
Oct 2021suppressed: fewer than twenty movements
Nov 202133.3% of 21 movements — small sample, not ranked
Dec 202154.8% of 31 movements — small sample, not ranked
Jan 202211.6% of 43 movements — small sample, not ranked
Feb 202216.1% of 56 movements
Mar 202222.4% of 58 movements
Apr 20223.2% of 31 movements — small sample, not ranked
May 2022no events in 31 movements — small sample, not ranked
Jun 2022no events in 30 movements — small sample, not ranked
Jul 20226.5% of 31 movements — small sample, not ranked
Aug 202216.1% of 31 movements — small sample, not ranked
Sep 20226.7% of 30 movements — small sample, not ranked
Oct 202212.9% of 31 movements — small sample, not ranked
Nov 202212.5% of 64 movements
Dec 20224.3% of 92 movements
Jan 20238.6% of 93 movements
Feb 20239.5% of 84 movements
Mar 202311.8% of 85 movements
Apr 20233.3% of 30 movements — small sample, not ranked
May 20236.5% of 31 movements — small sample, not ranked
Jun 20236.2% of 32 movements — small sample, not ranked
Jul 20236.5% of 31 movements — small sample, not ranked
Aug 202312.9% of 31 movements — small sample, not ranked
Sep 20233.3% of 30 movements — small sample, not ranked
Oct 202322.2% of 36 movements — small sample, not ranked
Nov 202332.2% of 90 movements
Dec 202334.8% of 92 movements
Jan 202432.3% of 93 movements
Feb 202431.0% of 87 movements
Mar 202419.6% of 92 movements
Apr 2024no events in 30 movements — small sample, not ranked
May 2024no events in 31 movements — small sample, not ranked
Jun 20249.7% of 31 movements — small sample, not ranked
Jul 2024no events in 31 movements — small sample, not ranked
Aug 20246.5% of 31 movements — small sample, not ranked
Sep 20246.7% of 30 movements — small sample, not ranked
Oct 20242.6% of 39 movements — small sample, not ranked
Nov 202411.1% of 90 movements
Dec 202414.1% of 92 movements
Jan 20259.6% of 114 movements
Feb 20256.3% of 111 movements
Mar 202510.1% of 119 movements
Apr 202516.7% of 30 movements — small sample, not ranked
May 20256.5% of 31 movements — small sample, not ranked
Jun 20256.7% of 30 movements — small sample, not ranked
Jul 20253.2% of 31 movements — small sample, not ranked
Aug 20253.2% of 31 movements — small sample, not ranked
Sep 20253.3% of 30 movements — small sample, not ranked
Oct 20255.9% of 51 movements
Nov 202518.0% of 100 movements
Dec 20257.8% of 103 movements
Jan 20266.6% of 106 movements
Feb 202613.5% of 96 movements
Mar 202613.2% of 106 movements
Apr 202617.6% of 51 movements
May 20269.7% of 31 movements — small sample, not ranked
Jun 202613.3% of 30 movements — small sample, not ranked

What did the big disruptions actually do here?

Each named event below is shown against this route’s own baseline for the twelve months before it, and against how long the route took to get back to that baseline.

A month worse than baseline is not proof the named event caused it: the open data carry no delay-cause field at all. Some events sit near the edge of the archive, which limits how long a recovery can be traced.

EventDirectionDisruption that monthBaseline beforeReturn to baseline
Pandemic regime · Jun 2020Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals6.5% of 31 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures41.9% of 31 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals12.9% of 31 movements — small sample, not ranked8.7% across 634 flightsreturned the next month
NATS system failure · Aug 2023Departures22.6% of 31 movements — small sample, not ranked35.8% across 632 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals10.1% of 119 movements7.2% across 722 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Departures15.4% of 117 movements21.0% across 722 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?

February has historically been the hardest month on this route: in a typical February, 13.5% of arrivals were disrupted, measured across 7 Februarys in the archive. April has been the calmest, at 3.3% across 7 Aprils.

Even February has ranged from 6.3% to 31.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20193.2% of 62 movements7.1% of 56 movements8.1% of 62 movements9.7% of 31 movements †3.2% of 31 movements †3.3% of 30 movements †no events in 31 movements †18.8% of 32 movements †20.7% of 29 movements †11.8% of 34 movements †10.0% of 60 movements8.1% of 62 movements20203.2% of 63 movements17.2% of 58 movements25.9% of 58 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements20.0% of 30 movements †suppressed: fewer than twenty movements15.4% of 26 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datano datasuppressed: fewer than twenty movements33.3% of 21 movements †54.8% of 31 movements †202211.6% of 43 movements †16.1% of 56 movements22.4% of 58 movements3.2% of 31 movements †no events in 31 movements †no events in 30 movements †6.5% of 31 movements †16.1% of 31 movements †6.7% of 30 movements †12.9% of 31 movements †12.5% of 64 movements4.3% of 92 movements20238.6% of 93 movements9.5% of 84 movements11.8% of 85 movements3.3% of 30 movements †6.5% of 31 movements †6.2% of 32 movements †6.5% of 31 movements †12.9% of 31 movements †3.3% of 30 movements †22.2% of 36 movements †32.2% of 90 movements34.8% of 92 movements202432.3% of 93 movements31.0% of 87 movements19.6% of 92 movementsno events in 30 movements †no events in 31 movements †9.7% of 31 movements †no events in 31 movements †6.5% of 31 movements †6.7% of 30 movements †2.6% of 39 movements †11.1% of 90 movements14.1% of 92 movements20259.6% of 114 movements6.3% of 111 movements10.1% of 119 movements16.7% of 30 movements †6.5% of 31 movements †6.7% of 30 movements †3.2% of 31 movements †3.2% of 31 movements †3.3% of 30 movements †5.9% of 51 movements18.0% of 100 movements7.8% of 103 movements20266.6% of 106 movements13.5% of 96 movements13.2% of 106 movements17.6% of 51 movements9.7% of 31 movements †13.3% of 30 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan8.6%3.2–32.3%7 months, 575 flights
Feb13.5%6.3–31.0%7 months, 549 flights
Mar11.8%5.2–22.4%7 months, 580 flights
Apr3.3%0.0–17.6%7 months, 237 flights
May6.5%0.0–9.7%7 months, 217 flights
Jun6.2%0.0–13.3%7 months, 213 flights
Jul4.8%0.0–9.7%6 months, 186 flights
Aug9.7%0.0–18.8%6 months, 187 flights
Sep5.0%3.3–20.7%6 months, 179 flights
Oct8.9%2.6–22.2%6 months, 224 flights
Nov12.1%10.0–32.2%6 months, 464 flights
Dec8.1%4.3–34.8%6 months, 503 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 Airways 9.6% of 187 movements, British Airways 11.1% of 579 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 Airways11.1% of 579 flightsVirgin Atlantic Airways9.6% of 187 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways57911.1% of 579 movements0.5% of 579 movements1.4% of 579 movementsdescriptive comparison
South African Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Virgin Atlantic Airways1879.6% of 187 movements1.1% of 187 movements1.1% of 187 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, LGW had the lowest disruption share at 25.7% of 140 movements and LGW the highest at 25.7% of 140 movements. This route sits at 10.7% of 766 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 ↔ Cape-Town25.7% of 140 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Iom ↔ Cape-Townsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Cape-Town14025.7% of 140 movements2.1% of 140 movements1.4% of 140 movementsdescriptive comparison
Ltn ↔ Cape-Townsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Cape-Townsuppressed: 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 10.7% of 766 movements disrupted, departures 17.0% of 764 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 LHR10.7% of 766 movements0.7% of 766 movements1.3% of 766 movements
Departures from LHR17.0% of 764 movements0.3% of 764 movements0.4% of 764 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 202644 flights out of 4,42444 × £520 = £22,880
ArrivalsLast 72 months · Jul 2020–Jun 202632 flights out of 3,19032 × £520 = £16,640
DeparturesWhole archive · Jan 2018–Jun 202630 flights out of 4,41030 × £520 = £15,600
DeparturesLast 72 months · Jul 2020–Jun 202619 flights out of 3,19219 × £520 = £9,880
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 / countryCAPE TOWN / REPUBLIC OF SOUTH AFRICA
Final point codesCPT / FACT
Great-circle distance9,682 km
Maximum statutory amount for the band£520
Average operated arrivals per day2.08
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 archive90

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: 766; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

10.7% of 766 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.7% of 766 movements in the same window.

How many delays crossed three hours?

1.3% of 766 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?

9,682 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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