UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LCY ↔ BERLIN BRANDENBURG

In the twelve months from July 2025 to June 2026, 25.2% of 1,091 movements arriving into LCY were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 74.8% of 1,091 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 364 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, 25.2% of 1,091 movements were disrupted and 2.5% of 1,091 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
25.2% of 1,091 movements2.5% of 1,091 movements25.2–56.6 min; N of delayed flights=248–5161,091
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: 2.5% of 1,091 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 min22.7%30 min13.1%60 min5.6%120 min1.0%180 min0.3%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.7% of 1,091 movements2484.4
>30 min13.1% of 1,091 movements1437.6
>60 min5.6% of 1,091 movements6117.9
>120 min1.0% of 1,091 movements1199.2
>180 min0.3% of 1,091 movements3363.7
>360 min0.2% of 1,091 movements2545.5
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?

When this route runs late, it is usually only a little late: big blow-ups are rarer here 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 early14713.5%15–1 early40136.8%0–15 late26824.6%16–301059.6%31–60827.5%61…120504.6%121…18080.7%181…36010.1%>36020.2%D=1,091
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0160; 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: Apr 2025, 7.9% of 89 movements. Worst month: Jul 2023, 56.2% of 73 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: no data×2018Feb 2018: no data×Mar 2018: no data×Apr 2018: no data×May 2018: no data×Jun 2018: no data×Jul 2018: no data×Aug 2018: no data×Sep 2018: no data×Oct 2018: no data×Nov 2018: no data×Dec 2018: no data×Jan 2019: no data×2019Feb 2019: no data×Mar 2019: no data×Apr 2019: no data×May 2019: no data×Jun 2019: no data×Jul 2019: no data×Aug 2019: no data×Sep 2019: no data×Oct 2019: no data×Nov 2019: no data×Dec 2019: no data×Jan 2020: no data×2020Feb 2020: no data×Mar 2020: no data×Apr 2020: no data×May 2020: no data×Jun 2020: no data×Jul 2020: no data×Aug 2020: no data×Sep 2020: no data×Oct 2020: no data×Nov 2020: no data×Dec 2020: no data×Jan 2021: no data×2021Feb 2021: no data×Mar 2021: no data×Apr 2021: no data×May 2021: no data×Jun 2021: no data×Jul 2021: no data×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: 28.1%; sample: 32Oct 2021: 30.8%; sample: 39Nov 2021: 16.4%; sample: 67Dec 2021: 24.0%; sample: 50Jan 2022: 0.0%; sample: 262022Feb 2022: 20.5%; sample: 44Mar 2022: 14.3%; sample: 56Apr 2022: 21.5%; sample: 65May 2022: 26.0%; sample: 73Jun 2022: 45.1%; sample: 71Jul 2022: 54.4%; sample: 68Aug 2022: 48.7%; sample: 76Sep 2022: 54.1%; sample: 74Oct 2022: 52.1%; sample: 73Nov 2022: 27.8%; sample: 108Dec 2022: 51.1%; sample: 94Jan 2023: 18.8%; sample: 962023Feb 2023: 22.4%; sample: 76Mar 2023: 31.2%; sample: 80Apr 2023: 30.7%; sample: 75May 2023: 16.9%; sample: 77Jun 2023: 51.9%; sample: 81Jul 2023: 56.2%; sample: 73Aug 2023: 30.3%; sample: 76Sep 2023: 48.8%; sample: 84Oct 2023: 54.3%; sample: 116Nov 2023: 21.0%; sample: 119Dec 2023: 54.8%; sample: 104Jan 2024: 20.5%; sample: 832024Feb 2024: 15.8%; sample: 101Mar 2024: 21.2%; sample: 99Apr 2024: 31.5%; sample: 92May 2024: 29.9%; sample: 97Jun 2024: 38.9%; sample: 95Jul 2024: 26.7%; sample: 101Aug 2024: 24.7%; sample: 97Sep 2024: 29.7%; sample: 91Oct 2024: 25.7%; sample: 101Nov 2024: 26.0%; sample: 100Dec 2024: 26.4%; sample: 91Jan 2025: 33.3%; sample: 632025Feb 2025: 20.3%; sample: 79Mar 2025: 19.1%; sample: 94Apr 2025: 7.9%; sample: 89May 2025: 8.6%; sample: 93Jun 2025: 8.1%; sample: 99Jul 2025: 15.8%; sample: 101Aug 2025: 12.9%; sample: 93Sep 2025: 36.8%; sample: 95Oct 2025: 26.9%; sample: 104Nov 2025: 19.2%; sample: 99Dec 2025: 25.8%; sample: 89Jan 2026: 36.1%; sample: 612026Feb 2026: 48.7%; sample: 76Mar 2026: 21.6%; sample: 97Apr 2026: 14.9%; sample: 94May 2026: 26.2%; sample: 84Jun 2026: 26.5%; sample: 98Pandemic 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 2018no data
Feb 2018no data
Mar 2018no data
Apr 2018no data
May 2018no data
Jun 2018no data
Jul 2018no data
Aug 2018no data
Sep 2018no data
Oct 2018no data
Nov 2018no data
Dec 2018no data
Jan 2019no data
Feb 2019no data
Mar 2019no data
Apr 2019no data
May 2019no data
Jun 2019no data
Jul 2019no data
Aug 2019no data
Sep 2019no data
Oct 2019no data
Nov 2019no data
Dec 2019no data
Jan 2020no data
Feb 2020no data
Mar 2020no data
Apr 2020no data
May 2020no data
Jun 2020no data
Jul 2020no data
Aug 2020no data
Sep 2020no data
Oct 2020no data
Nov 2020no data
Dec 2020no data
Jan 2021no data
Feb 2021no data
Mar 2021no data
Apr 2021no data
May 2021no data
Jun 2021no data
Jul 2021no data
Aug 2021suppressed: fewer than twenty movements
Sep 202128.1% of 32 movements — small sample, not ranked
Oct 202130.8% of 39 movements — small sample, not ranked
Nov 202116.4% of 67 movements
Dec 202124.0% of 50 movements
Jan 2022no events in 26 movements — small sample, not ranked
Feb 202220.5% of 44 movements — small sample, not ranked
Mar 202214.3% of 56 movements
Apr 202221.5% of 65 movements
May 202226.0% of 73 movements
Jun 202245.1% of 71 movements
Jul 202254.4% of 68 movements
Aug 202248.7% of 76 movements
Sep 202254.1% of 74 movements
Oct 202252.1% of 73 movements
Nov 202227.8% of 108 movements
Dec 202251.1% of 94 movements
Jan 202318.8% of 96 movements
Feb 202322.4% of 76 movements
Mar 202331.2% of 80 movements
Apr 202330.7% of 75 movements
May 202316.9% of 77 movements
Jun 202351.9% of 81 movements
Jul 202356.2% of 73 movements
Aug 202330.3% of 76 movements
Sep 202348.8% of 84 movements
Oct 202354.3% of 116 movements
Nov 202321.0% of 119 movements
Dec 202354.8% of 104 movements
Jan 202420.5% of 83 movements
Feb 202415.8% of 101 movements
Mar 202421.2% of 99 movements
Apr 202431.5% of 92 movements
May 202429.9% of 97 movements
Jun 202438.9% of 95 movements
Jul 202426.7% of 101 movements
Aug 202424.7% of 97 movements
Sep 202429.7% of 91 movements
Oct 202425.7% of 101 movements
Nov 202426.0% of 100 movements
Dec 202426.4% of 91 movements
Jan 202533.3% of 63 movements
Feb 202520.3% of 79 movements
Mar 202519.1% of 94 movements
Apr 20257.9% of 89 movements
May 20258.6% of 93 movements
Jun 20258.1% of 99 movements
Jul 202515.8% of 101 movements
Aug 202512.9% of 93 movements
Sep 202536.8% of 95 movements
Oct 202526.9% of 104 movements
Nov 202519.2% of 99 movements
Dec 202525.8% of 89 movements
Jan 202636.1% of 61 movements
Feb 202648.7% of 76 movements
Mar 202621.6% of 97 movements
Apr 202614.9% of 94 movements
May 202626.2% of 84 movements
Jun 202626.5% of 98 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 2020Arrivalsno datano complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuresno datano complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals54.4% of 68 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures83.8% of 68 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals30.3% of 76 movements38.5% across 983 flightsreturned after 3 months
NATS system failure · Aug 2023Departures28.9% of 76 movements48.1% across 990 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals19.1% of 94 movements27.9% across 1,106 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures21.3% of 94 movements28.3% across 1,115 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?

September has historically been the hardest month on this route: in a typical September, 42.8% of arrivals were disrupted, measured across 4 Septembers in the archive. February has been the calmest, at 20.5% across 5 Februarys.

Even September has ranged from 29.7% to 54.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec2019no datano datano datano datano datano datano datano datano datano datano datano data2020no datano datano datano datano datano datano datano datano datano datano datano data2021no datano datano datano datano datano datano datasuppressed: fewer than twenty movements28.1% of 32 movements †30.8% of 39 movements †16.4% of 67 movements24.0% of 50 movements2022no events in 26 movements †20.5% of 44 movements †14.3% of 56 movements21.5% of 65 movements26.0% of 73 movements45.1% of 71 movements54.4% of 68 movements48.7% of 76 movements54.1% of 74 movements52.1% of 73 movements27.8% of 108 movements51.1% of 94 movements202318.8% of 96 movements22.4% of 76 movements31.2% of 80 movements30.7% of 75 movements16.9% of 77 movements51.9% of 81 movements56.2% of 73 movements30.3% of 76 movements48.8% of 84 movements54.3% of 116 movements21.0% of 119 movements54.8% of 104 movements202420.5% of 83 movements15.8% of 101 movements21.2% of 99 movements31.5% of 92 movements29.9% of 97 movements38.9% of 95 movements26.7% of 101 movements24.7% of 97 movements29.7% of 91 movements25.7% of 101 movements26.0% of 100 movements26.4% of 91 movements202533.3% of 63 movements20.3% of 79 movements19.1% of 94 movements7.9% of 89 movements8.6% of 93 movements8.1% of 99 movements15.8% of 101 movements12.9% of 93 movements36.8% of 95 movements26.9% of 104 movements19.2% of 99 movements25.8% of 89 movements202636.1% of 61 movements48.7% of 76 movements21.6% of 97 movements14.9% of 94 movements26.2% of 84 movements26.5% of 98 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan20.5%0.0–36.1%5 months, 329 flights
Feb20.5%15.8–48.7%5 months, 376 flights
Mar21.2%14.3–31.2%5 months, 426 flights
Apr21.5%7.9–31.5%5 months, 415 flights
May26.0%8.6–29.9%5 months, 424 flights
Jun38.9%8.1–51.9%5 months, 444 flights
Jul40.6%15.8–56.2%4 months, 343 flights
Aug27.5%12.9–48.7%4 months, 342 flights
Sep42.8%29.7–54.1%4 months, 344 flights
Oct39.5%25.7–54.3%4 months, 394 flights
Nov23.5%19.2–27.8%4 months, 426 flights
Dec38.7%25.8–54.8%4 months, 378 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?

Only one carrier published enough flights here to report: Ba Cityflyer Ltd, 25.2% of 1,091 movements disrupted.

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 optionBa Cityflyer25.2% of 1,091 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ba Cityflyer1,09125.2% of 1,091 movements2.5% of 1,091 movements0.3% of 1,091 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, LPL had the lowest disruption share at 10.8% of 83 movements and BHX the highest at 41.8% of 342 movements. This route sits at 25.2% of 1,091 movements.

Each figure is arrivals into that UK airport, all carriers combined, over the same twelve months. It is a historical record, not a recommendation about where to fly from, and it says nothing about getting to or from each airport on the ground.

Observed disruption share by optionBhx ↔ Berlin-Brandenburg41.8% of 342 flightsBrs ↔ Berlin-Brandenburg38.0% of 266 flightsEdi ↔ Berlin-Brandenburg37.1% of 579 flightsEma ↔ Berlin-Brandenburg35.7% of 70 flightsGla ↔ Berlin-Brandenburg25.0% of 68 flightsLgw ↔ Berlin-Brandenburg24.2% of 990 flightsLhr ↔ Berlin-Brandenburg22.9% of 2,480 flightsLpl ↔ Berlin-Brandenburg10.8% of 83 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Berlin-Brandenburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Berlin-Brandenburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Berlin-Brandenburg34241.8% of 342 movements1.5% of 342 movementsno events in 342 movementsdescriptive comparison
Brs ↔ Berlin-Brandenburg26638.0% of 266 movements1.9% of 266 movementsno events in 266 movementsdescriptive comparison
Cwl ↔ Berlin-Brandenburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Berlin-Brandenburg57937.1% of 579 movements1.4% of 579 movements1.0% of 579 movementsdescriptive comparison
Ema ↔ Berlin-Brandenburg7035.7% of 70 movementsno events in 70 movements1.4% of 70 movementsdescriptive comparison
Gla ↔ Berlin-Brandenburg6825.0% of 68 movementsno events in 68 movementsno events in 68 movementsdescriptive comparison
Jer ↔ Berlin-Brandenburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Berlin-Brandenburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Berlin-Brandenburg99024.2% of 990 movements2.3% of 990 movements0.5% of 990 movementsdescriptive comparison
Lhr ↔ Berlin-Brandenburg2,48022.9% of 2,480 movements2.1% of 2,480 movements0.7% of 2,480 movementsdescriptive comparison
Lpl ↔ Berlin-Brandenburg8310.8% of 83 movements3.6% of 83 movementsno events in 83 movementsdescriptive comparison
Ltn ↔ Berlin-Brandenburg25437.0% of 254 movements3.1% of 254 movements0.8% of 254 movementsdescriptive comparison
Man ↔ Berlin-Brandenburg88838.9% of 888 movements2.1% of 888 movements0.2% of 888 movementsdescriptive comparison
Ncl ↔ Berlin-Brandenburg5217.3% of 52 movementsno events in 52 movementsno events in 52 movementsdescriptive comparison
Sen ↔ Berlin-Brandenburg7125.4% of 71 movements1.4% of 71 movementsno events in 71 movementsdescriptive comparison
Sou ↔ Berlin-Brandenburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Berlin-Brandenburg1,20425.0% of 1,204 movements0.9% of 1,204 movements0.7% of 1,204 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LCY ran 25.2% of 1,091 movements disrupted, departures 30.1% of 1,101 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 LCY25.2% of 1,091 movements2.5% of 1,091 movements0.3% of 1,091 movements
Departures from LCY30.1% of 1,101 movements1.7% of 1,101 movementsno events in 1,101 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 202623 flights out of 4,83323 × £220 = £5,060
ArrivalsLast 72 months · Jul 2020–Jun 202623 flights out of 4,83323 × £220 = £5,060
DeparturesWhole archive · Jan 2018–Jun 20268 flights out of 4,8738 × £220 = £1,760
DeparturesLast 72 months · Jul 2020–Jun 20268 flights out of 4,8738 × £220 = £1,760
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 airportLONDON CITY · LCY
Final point / countryBERLIN BRANDENBURG / GERMANY
Final point codesBER / EDDB
Great-circle distance925 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.92
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthAug 2021–Jun 2026
Months with operations in the archive59

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: 1,091; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

25.2% of 1,091 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.5% of 1,091 movements in the same window.

How many delays crossed three hours?

0.3% of 1,091 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

chronically slightly late. The class compares the tail with short delays across routes in the corpus.

What distance is used?

925 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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