UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ NAIROBI

In the twelve months from July 2025 to June 2026, 27.4% of 773 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, 72.6% of 773 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 39 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, 27.4% of 773 movements were disrupted and 0.5% of 773 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
27.4% of 773 movements0.5% of 773 movements34.3–78.5 min; N of delayed flights=208–453773
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: 0.5% of 773 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 min26.9%30 min16.6%60 min9.3%120 min4.5%180 min2.6%360 min0.3%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min26.9% of 773 movements2083.7
>30 min16.6% of 773 movements1286.0
>60 min9.3% of 773 movements7210.7
>120 min4.5% of 773 movements3522.1
>180 min2.6% of 773 movements2038.6
>360 min0.3% of 773 movements2386.5
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 early9312.0%15–1 early22328.8%0–15 late24531.7%16–308010.3%31–60567.2%61…120374.8%121…180151.9%181…360182.3%>36020.3%D=773
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.1471; 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 2019, 10.0% of 60 movements. Worst month: May 2023, 81.3% of 75 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: 51.6%; sample: 622018Feb 2018: 39.3%; sample: 56Mar 2018: 30.6%; sample: 62Apr 2018: 43.3%; sample: 60May 2018: 24.2%; sample: 62Jun 2018: 11.7%; sample: 60Jul 2018: 14.5%; sample: 62Aug 2018: 16.1%; sample: 62Sep 2018: 18.3%; sample: 60Oct 2018: 14.5%; sample: 62Nov 2018: 31.7%; sample: 60Dec 2018: 40.0%; sample: 60Jan 2019: 16.1%; sample: 622019Feb 2019: 10.7%; sample: 56Mar 2019: 45.2%; sample: 62Apr 2019: 25.0%; sample: 60May 2019: 22.6%; sample: 62Jun 2019: 18.3%; sample: 60Jul 2019: 12.9%; sample: 62Aug 2019: 25.8%; sample: 62Sep 2019: 12.3%; sample: 57Oct 2019: 19.0%; sample: 63Nov 2019: 10.0%; sample: 60Dec 2019: 29.0%; sample: 62Jan 2020: 22.6%; sample: 622020Feb 2020: 44.8%; sample: 58Mar 2020: 25.0%; sample: 56Apr 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: 7.1%; sample: 28Sep 2020: 6.7%; sample: 30Oct 2020: 13.5%; sample: 37Nov 2020: 3.1%; sample: 32Dec 2020: 15.4%; sample: 39Jan 2021: 32.4%; sample: 342021Feb 2021: 16.7%; sample: 24Mar 2021: 9.7%; sample: 31Apr 2021: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: suppressed: fewer than twenty movements×Oct 2021: 29.0%; sample: 31Nov 2021: 12.8%; sample: 39Dec 2021: 28.6%; sample: 56Jan 2022: 23.2%; sample: 562022Feb 2022: 31.2%; sample: 48Mar 2022: 20.4%; sample: 54Apr 2022: 45.0%; sample: 60May 2022: 24.2%; sample: 62Jun 2022: 21.8%; sample: 55Jul 2022: 14.0%; sample: 57Aug 2022: 11.1%; sample: 63Sep 2022: 25.0%; sample: 60Oct 2022: 16.4%; sample: 61Nov 2022: 35.9%; sample: 64Dec 2022: 44.9%; sample: 78Jan 2023: 53.8%; sample: 912023Feb 2023: 35.6%; sample: 73Mar 2023: 41.8%; sample: 79Apr 2023: 62.2%; sample: 74May 2023: 81.3%; sample: 75Jun 2023: 58.9%; sample: 73Jul 2023: 52.6%; sample: 76Aug 2023: 51.3%; sample: 76Sep 2023: 37.0%; sample: 73Oct 2023: 39.0%; sample: 77Nov 2023: 59.6%; sample: 89Dec 2023: 66.7%; sample: 87Jan 2024: 66.3%; sample: 922024Feb 2024: 50.6%; sample: 87Mar 2024: 41.9%; sample: 86Apr 2024: 31.7%; sample: 60May 2024: 30.6%; sample: 62Jun 2024: 11.7%; sample: 60Jul 2024: 25.8%; sample: 62Aug 2024: 24.2%; sample: 62Sep 2024: 35.0%; sample: 60Oct 2024: 25.8%; sample: 62Nov 2024: 26.7%; sample: 60Dec 2024: 51.6%; sample: 62Jan 2025: 35.5%; sample: 622025Feb 2025: 27.3%; sample: 55Mar 2025: 23.0%; sample: 61Apr 2025: 28.3%; sample: 60May 2025: 27.4%; sample: 62Jun 2025: 11.7%; sample: 60Jul 2025: 18.1%; sample: 72Aug 2025: 20.0%; sample: 70Sep 2025: 25.0%; sample: 60Oct 2025: 19.4%; sample: 62Nov 2025: 20.0%; sample: 60Dec 2025: 41.9%; sample: 62Jan 2026: 41.9%; sample: 622026Feb 2026: 28.6%; sample: 56Mar 2026: 29.0%; sample: 62Apr 2026: 36.7%; sample: 60May 2026: 29.0%; sample: 62Jun 2026: 23.5%; sample: 85Pandemic 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 201851.6% of 62 movements
Feb 201839.3% of 56 movements
Mar 201830.6% of 62 movements
Apr 201843.3% of 60 movements
May 201824.2% of 62 movements
Jun 201811.7% of 60 movements
Jul 201814.5% of 62 movements
Aug 201816.1% of 62 movements
Sep 201818.3% of 60 movements
Oct 201814.5% of 62 movements
Nov 201831.7% of 60 movements
Dec 201840.0% of 60 movements
Jan 201916.1% of 62 movements
Feb 201910.7% of 56 movements
Mar 201945.2% of 62 movements
Apr 201925.0% of 60 movements
May 201922.6% of 62 movements
Jun 201918.3% of 60 movements
Jul 201912.9% of 62 movements
Aug 201925.8% of 62 movements
Sep 201912.3% of 57 movements
Oct 201919.0% of 63 movements
Nov 201910.0% of 60 movements
Dec 201929.0% of 62 movements
Jan 202022.6% of 62 movements
Feb 202044.8% of 58 movements
Mar 202025.0% of 56 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 20207.1% of 28 movements — small sample, not ranked
Sep 20206.7% of 30 movements — small sample, not ranked
Oct 202013.5% of 37 movements — small sample, not ranked
Nov 20203.1% of 32 movements — small sample, not ranked
Dec 202015.4% of 39 movements — small sample, not ranked
Jan 202132.4% of 34 movements — small sample, not ranked
Feb 202116.7% of 24 movements — small sample, not ranked
Mar 20219.7% of 31 movements — small sample, not ranked
Apr 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 2021suppressed: fewer than twenty movements
Oct 202129.0% of 31 movements — small sample, not ranked
Nov 202112.8% of 39 movements — small sample, not ranked
Dec 202128.6% of 56 movements
Jan 202223.2% of 56 movements
Feb 202231.2% of 48 movements — small sample, not ranked
Mar 202220.4% of 54 movements
Apr 202245.0% of 60 movements
May 202224.2% of 62 movements
Jun 202221.8% of 55 movements
Jul 202214.0% of 57 movements
Aug 202211.1% of 63 movements
Sep 202225.0% of 60 movements
Oct 202216.4% of 61 movements
Nov 202235.9% of 64 movements
Dec 202244.9% of 78 movements
Jan 202353.8% of 91 movements
Feb 202335.6% of 73 movements
Mar 202341.8% of 79 movements
Apr 202362.2% of 74 movements
May 202381.3% of 75 movements
Jun 202358.9% of 73 movements
Jul 202352.6% of 76 movements
Aug 202351.3% of 76 movements
Sep 202337.0% of 73 movements
Oct 202339.0% of 77 movements
Nov 202359.6% of 89 movements
Dec 202366.7% of 87 movements
Jan 202466.3% of 92 movements
Feb 202450.6% of 87 movements
Mar 202441.9% of 86 movements
Apr 202431.7% of 60 movements
May 202430.6% of 62 movements
Jun 202411.7% of 60 movements
Jul 202425.8% of 62 movements
Aug 202424.2% of 62 movements
Sep 202435.0% of 60 movements
Oct 202425.8% of 62 movements
Nov 202426.7% of 60 movements
Dec 202451.6% of 62 movements
Jan 202535.5% of 62 movements
Feb 202527.3% of 55 movements
Mar 202523.0% of 61 movements
Apr 202528.3% of 60 movements
May 202527.4% of 62 movements
Jun 202511.7% of 60 movements
Jul 202518.1% of 72 movements
Aug 202520.0% of 70 movements
Sep 202525.0% of 60 movements
Oct 202519.4% of 62 movements
Nov 202520.0% of 60 movements
Dec 202541.9% of 62 movements
Jan 202641.9% of 62 movements
Feb 202628.6% of 56 movements
Mar 202629.0% of 62 movements
Apr 202636.7% of 60 movements
May 202629.0% of 62 movements
Jun 202623.5% of 85 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 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 2022Arrivals14.0% of 57 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures75.4% of 57 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals51.3% of 76 movements43.3% across 867 flightsreturned the next month
NATS system failure · Aug 2023Departures34.2% of 76 movements50.3% across 864 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals23.0% of 61 movements30.6% across 753 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures38.1% of 63 movements36.6% across 755 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?

December has historically been the hardest month on this route: in a typical December, 43.4% of arrivals were disrupted, measured across 6 Decembers in the archive. July has been the calmest, at 16.3% across 6 Julys.

Even December has ranged from 29.0% to 66.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201916.1% of 62 movements10.7% of 56 movements45.2% of 62 movements25.0% of 60 movements22.6% of 62 movements18.3% of 60 movements12.9% of 62 movements25.8% of 62 movements12.3% of 57 movements19.0% of 63 movements10.0% of 60 movements29.0% of 62 movements202022.6% of 62 movements44.8% of 58 movements25.0% of 56 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements7.1% of 28 movements †6.7% of 30 movements †13.5% of 37 movements †3.1% of 32 movements †15.4% of 39 movements †202132.4% of 34 movements †16.7% of 24 movements †9.7% of 31 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements29.0% of 31 movements †12.8% of 39 movements †28.6% of 56 movements202223.2% of 56 movements31.2% of 48 movements †20.4% of 54 movements45.0% of 60 movements24.2% of 62 movements21.8% of 55 movements14.0% of 57 movements11.1% of 63 movements25.0% of 60 movements16.4% of 61 movements35.9% of 64 movements44.9% of 78 movements202353.8% of 91 movements35.6% of 73 movements41.8% of 79 movements62.2% of 74 movements81.3% of 75 movements58.9% of 73 movements52.6% of 76 movements51.3% of 76 movements37.0% of 73 movements39.0% of 77 movements59.6% of 89 movements66.7% of 87 movements202466.3% of 92 movements50.6% of 87 movements41.9% of 86 movements31.7% of 60 movements30.6% of 62 movements11.7% of 60 movements25.8% of 62 movements24.2% of 62 movements35.0% of 60 movements25.8% of 62 movements26.7% of 60 movements51.6% of 62 movements202535.5% of 62 movements27.3% of 55 movements23.0% of 61 movements28.3% of 60 movements27.4% of 62 movements11.7% of 60 movements18.1% of 72 movements20.0% of 70 movements25.0% of 60 movements19.4% of 62 movements20.0% of 60 movements41.9% of 62 movements202641.9% of 62 movements28.6% of 56 movements29.0% of 62 movements36.7% of 60 movements29.0% of 62 movements23.5% of 85 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan41.9%16.1–66.3%7 months, 487 flights
Feb31.2%10.7–50.6%7 months, 431 flights
Mar30.6%20.4–45.2%7 months, 466 flights
Apr36.7%25.0–62.2%7 months, 434 flights
May27.4%22.6–81.3%7 months, 447 flights
Jun18.3%11.7–58.9%7 months, 453 flights
Jul16.3%12.9–52.6%6 months, 391 flights
Aug22.1%11.1–51.3%6 months, 395 flights
Sep25.0%12.3–37.0%6 months, 370 flights
Oct19.2%14.5–39.0%6 months, 387 flights
Nov29.2%10.0–59.6%6 months, 393 flights
Dec43.4%29.0–66.7%6 months, 411 flights
Definitions, denominators and limits

The matrix shows the last eight calendar years, including an incomplete final year; the start of the archive is kept in the history above. Seasonal summaries use the whole available archive, excluding the pandemic regime 2020–2021; this is an observed range, not a forecast. Zero events, missing data and suppressed cells are marked separately. † marks a small sample, described but not ranked. For ranges the colour follows the upper bound.

Which airline has the better record here?

On the published record there is no clear winner: British Airways 16.2% of 408 movements, Kenya Airways 40.0% of 365 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 Airways16.2% of 408 flightsKenya Airways40.0% of 365 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways40816.2% of 408 movements1.0% of 408 movements0.5% of 408 movementsdescriptive comparison
Ethiopian Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Kenya Airways36540.0% of 365 movementsno events in 365 movements4.9% of 365 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 52.6% of 154 movements and LGW the highest at 52.6% of 154 movements. This route sits at 27.4% of 773 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 ↔ Nairobi52.6% of 154 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Nairobisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Nairobisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Nairobi15452.6% of 154 movements1.3% of 154 movements6.5% of 154 movementsdescriptive comparison
Man ↔ Nairobisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Nairobisuppressed: 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 27.4% of 773 movements disrupted, departures 30.6% of 774 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 LHR27.4% of 773 movements0.5% of 773 movements2.6% of 773 movements
Departures from LHR30.6% of 774 movements0.9% of 774 movements1.7% of 774 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 2026128 flights out of 5,679128 × £520 = £66,560
ArrivalsLast 72 months · Jul 2020–Jun 2026107 flights out of 4,035107 × £520 = £55,640
DeparturesWhole archive · Jan 2018–Jun 202698 flights out of 5,68298 × £520 = £50,960
DeparturesLast 72 months · Jul 2020–Jun 202685 flights out of 4,04085 × £520 = £44,200
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 / countryNAIROBI / KENYA
Final point codesNBO / HKJK
Great-circle distance6,841 km
Maximum statutory amount for the band£520
Average operated arrivals per day2.11
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: 773; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

27.4% of 773 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.5% of 773 movements in the same window.

How many delays crossed three hours?

2.6% of 773 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?

6,841 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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