UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

MAN ↔ DOHA HAMAD

In the twelve months from July 2025 to June 2026, 20.8% of 1,163 movements arriving into MAN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 79.2% of 1,163 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 388 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, 20.8% of 1,163 movements were disrupted and 5.6% of 1,163 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
20.8% of 1,163 movements5.6% of 1,163 movements16.3–48.5 min; N of delayed flights=177–4581,163
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: 5.6% of 1,163 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 min15.2%30 min5.1%60 min1.1%120 min0.3%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min15.2% of 1,163 movements1776.6
>30 min5.1% of 1,163 movements5919.7
>60 min1.1% of 1,163 movements1389.5
>120 min0.3% of 1,163 movements4290.8
>180 min0.3% of 1,163 movements3387.7
>360 minno events in 1,163 movements0no observed events, which is not zero risk
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 early27123.3%15–1 early36931.7%0–15 late28124.2%16–3011810.1%31–60464.0%61…12090.8%121…18010.1%181…36030.3%>36000.0%D=1,163
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0183; 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 2018, 1.3% of 77 movements. Worst month: Jun 2021, 100.0% of 55 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: 12.7%; sample: 712018Feb 2018: 7.7%; sample: 65Mar 2018: 6.9%; sample: 72Apr 2018: 13.0%; sample: 69May 2018: 1.4%; sample: 70Jun 2018: 1.4%; sample: 69Jul 2018: 2.8%; sample: 71Aug 2018: 24.3%; sample: 70Sep 2018: 20.3%; sample: 74Oct 2018: 22.5%; sample: 80Nov 2018: 1.3%; sample: 77Dec 2018: 11.2%; sample: 80Jan 2019: 36.2%; sample: 802019Feb 2019: 6.9%; sample: 72Mar 2019: 12.5%; sample: 64Apr 2019: 29.5%; sample: 78May 2019: 8.9%; sample: 79Jun 2019: 11.8%; sample: 85Jul 2019: 14.0%; sample: 93Aug 2019: 12.9%; sample: 93Sep 2019: 18.9%; sample: 90Oct 2019: 24.7%; sample: 93Nov 2019: 12.2%; sample: 90Dec 2019: 17.2%; sample: 93Jan 2020: 8.6%; sample: 932020Feb 2020: 27.3%; sample: 88Mar 2020: 7.1%; sample: 84Apr 2020: 25.6%; sample: 39May 2020: 10.0%; sample: 20Jun 2020: 0.0%; sample: 30Jul 2020: 12.0%; sample: 50Aug 2020: 7.7%; sample: 52Sep 2020: 8.8%; sample: 57Oct 2020: 3.0%; sample: 67Nov 2020: 2.9%; sample: 70Dec 2020: 15.9%; sample: 82Jan 2021: 2.6%; sample: 762021Feb 2021: 8.9%; sample: 56Mar 2021: 34.5%; sample: 55Apr 2021: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: 100.0%; sample: 55Jul 2021: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: 38.5%; sample: 39Oct 2021: 24.2%; sample: 62Nov 2021: 15.0%; sample: 60Dec 2021: 48.4%; sample: 62Jan 2022: 34.4%; sample: 612022Feb 2022: 52.8%; sample: 72Mar 2022: 39.2%; sample: 79Apr 2022: 40.3%; sample: 77May 2022: 30.0%; sample: 80Jun 2022: 35.1%; sample: 77Jul 2022: 32.9%; sample: 79Aug 2022: 27.8%; sample: 79Sep 2022: 28.1%; sample: 64Oct 2022: 27.0%; sample: 63Nov 2022: 9.8%; sample: 82Dec 2022: 19.1%; sample: 89Jan 2023: 32.9%; sample: 792023Feb 2023: 22.2%; sample: 72Mar 2023: 23.8%; sample: 80Apr 2023: 7.8%; sample: 77May 2023: 10.0%; sample: 80Jun 2023: 13.0%; sample: 77Jul 2023: 27.5%; sample: 80Aug 2023: 8.8%; sample: 80Sep 2023: 16.9%; sample: 77Oct 2023: 23.8%; sample: 80Nov 2023: 24.4%; sample: 90Dec 2023: 26.9%; sample: 93Jan 2024: 30.9%; sample: 942024Feb 2024: 39.1%; sample: 87Mar 2024: 6.5%; sample: 93Apr 2024: 10.0%; sample: 90May 2024: 10.8%; sample: 93Jun 2024: 14.4%; sample: 90Jul 2024: 9.7%; sample: 93Aug 2024: 5.4%; sample: 93Sep 2024: 10.0%; sample: 90Oct 2024: 18.3%; sample: 93Nov 2024: 3.3%; sample: 90Dec 2024: 9.7%; sample: 93Jan 2025: 15.1%; sample: 932025Feb 2025: 9.5%; sample: 84Mar 2025: 2.1%; sample: 94Apr 2025: 5.6%; sample: 90May 2025: 9.7%; sample: 93Jun 2025: 27.5%; sample: 102Jul 2025: 5.7%; sample: 106Aug 2025: 11.2%; sample: 107Sep 2025: 19.6%; sample: 102Oct 2025: 16.8%; sample: 107Nov 2025: 8.7%; sample: 103Dec 2025: 21.5%; sample: 107Jan 2026: 33.0%; sample: 1062026Feb 2026: 21.9%; sample: 96Mar 2026: 84.9%; sample: 73Apr 2026: 10.0%; sample: 70May 2026: 8.3%; sample: 96Jun 2026: 23.3%; sample: 90Pandemic 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 201812.7% of 71 movements
Feb 20187.7% of 65 movements
Mar 20186.9% of 72 movements
Apr 201813.0% of 69 movements
May 20181.4% of 70 movements
Jun 20181.4% of 69 movements
Jul 20182.8% of 71 movements
Aug 201824.3% of 70 movements
Sep 201820.3% of 74 movements
Oct 201822.5% of 80 movements
Nov 20181.3% of 77 movements
Dec 201811.2% of 80 movements
Jan 201936.2% of 80 movements
Feb 20196.9% of 72 movements
Mar 201912.5% of 64 movements
Apr 201929.5% of 78 movements
May 20198.9% of 79 movements
Jun 201911.8% of 85 movements
Jul 201914.0% of 93 movements
Aug 201912.9% of 93 movements
Sep 201918.9% of 90 movements
Oct 201924.7% of 93 movements
Nov 201912.2% of 90 movements
Dec 201917.2% of 93 movements
Jan 20208.6% of 93 movements
Feb 202027.3% of 88 movements
Mar 20207.1% of 84 movements
Apr 202025.6% of 39 movements — small sample, not ranked
May 202010.0% of 20 movements — small sample, not ranked
Jun 2020no events in 30 movements — small sample, not ranked
Jul 202012.0% of 50 movements
Aug 20207.7% of 52 movements
Sep 20208.8% of 57 movements
Oct 20203.0% of 67 movements
Nov 20202.9% of 70 movements
Dec 202015.9% of 82 movements
Jan 20212.6% of 76 movements
Feb 20218.9% of 56 movements
Mar 202134.5% of 55 movements
Apr 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 2021100.0% of 55 movements
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 202138.5% of 39 movements — small sample, not ranked
Oct 202124.2% of 62 movements
Nov 202115.0% of 60 movements
Dec 202148.4% of 62 movements
Jan 202234.4% of 61 movements
Feb 202252.8% of 72 movements
Mar 202239.2% of 79 movements
Apr 202240.3% of 77 movements
May 202230.0% of 80 movements
Jun 202235.1% of 77 movements
Jul 202232.9% of 79 movements
Aug 202227.8% of 79 movements
Sep 202228.1% of 64 movements
Oct 202227.0% of 63 movements
Nov 20229.8% of 82 movements
Dec 202219.1% of 89 movements
Jan 202332.9% of 79 movements
Feb 202322.2% of 72 movements
Mar 202323.8% of 80 movements
Apr 20237.8% of 77 movements
May 202310.0% of 80 movements
Jun 202313.0% of 77 movements
Jul 202327.5% of 80 movements
Aug 20238.8% of 80 movements
Sep 202316.9% of 77 movements
Oct 202323.8% of 80 movements
Nov 202324.4% of 90 movements
Dec 202326.9% of 93 movements
Jan 202430.9% of 94 movements
Feb 202439.1% of 87 movements
Mar 20246.5% of 93 movements
Apr 202410.0% of 90 movements
May 202410.8% of 93 movements
Jun 202414.4% of 90 movements
Jul 20249.7% of 93 movements
Aug 20245.4% of 93 movements
Sep 202410.0% of 90 movements
Oct 202418.3% of 93 movements
Nov 20243.3% of 90 movements
Dec 20249.7% of 93 movements
Jan 202515.1% of 93 movements
Feb 20259.5% of 84 movements
Mar 20252.1% of 94 movements
Apr 20255.6% of 90 movements
May 20259.7% of 93 movements
Jun 202527.5% of 102 movements
Jul 20255.7% of 106 movements
Aug 202511.2% of 107 movements
Sep 202519.6% of 102 movements
Oct 202516.8% of 107 movements
Nov 20258.7% of 103 movements
Dec 202521.5% of 107 movements
Jan 202633.0% of 106 movements
Feb 202621.9% of 96 movements
Mar 202684.9% of 73 movements
Apr 202610.0% of 70 movements
May 20268.3% of 96 movements
Jun 202623.3% of 90 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 events in 30 movements — small sample, not ranked15.9% across 961 flightsreturned the next month
Pandemic regime · Jun 2020Departures3.3% of 30 movements — small sample, not ranked21.8% across 960 flightsreturned after 3 months
Summer 2022 breakdown · Jul 2022Arrivals32.9% of 79 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures83.5% of 79 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals8.8% of 80 movements20.7% across 922 flightsreturned the next month
NATS system failure · Aug 2023Departures46.2% of 80 movements46.0% across 923 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals2.1% of 94 movements10.2% across 1,095 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures14.0% of 93 movements31.8% across 1,097 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?

January has historically been the hardest month on this route: in a typical January, 32.9% of arrivals were disrupted, measured across 7 Januarys in the archive. November has been the calmest, at 9.2% across 6 Novembers.

Even January has ranged from 12.7% to 36.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201936.2% of 80 movements6.9% of 72 movements12.5% of 64 movements29.5% of 78 movements8.9% of 79 movements11.8% of 85 movements14.0% of 93 movements12.9% of 93 movements18.9% of 90 movements24.7% of 93 movements12.2% of 90 movements17.2% of 93 movements20208.6% of 93 movements27.3% of 88 movements7.1% of 84 movements25.6% of 39 movements †10.0% of 20 movements †no events in 30 movements †12.0% of 50 movements7.7% of 52 movements8.8% of 57 movements3.0% of 67 movements2.9% of 70 movements15.9% of 82 movements20212.6% of 76 movements8.9% of 56 movements34.5% of 55 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements100.0% of 55 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements38.5% of 39 movements †24.2% of 62 movements15.0% of 60 movements48.4% of 62 movements202234.4% of 61 movements52.8% of 72 movements39.2% of 79 movements40.3% of 77 movements30.0% of 80 movements35.1% of 77 movements32.9% of 79 movements27.8% of 79 movements28.1% of 64 movements27.0% of 63 movements9.8% of 82 movements19.1% of 89 movements202332.9% of 79 movements22.2% of 72 movements23.8% of 80 movements7.8% of 77 movements10.0% of 80 movements13.0% of 77 movements27.5% of 80 movements8.8% of 80 movements16.9% of 77 movements23.8% of 80 movements24.4% of 90 movements26.9% of 93 movements202430.9% of 94 movements39.1% of 87 movements6.5% of 93 movements10.0% of 90 movements10.8% of 93 movements14.4% of 90 movements9.7% of 93 movements5.4% of 93 movements10.0% of 90 movements18.3% of 93 movements3.3% of 90 movements9.7% of 93 movements202515.1% of 93 movements9.5% of 84 movements2.1% of 94 movements5.6% of 90 movements9.7% of 93 movements27.5% of 102 movements5.7% of 106 movements11.2% of 107 movements19.6% of 102 movements16.8% of 107 movements8.7% of 103 movements21.5% of 107 movements202633.0% of 106 movements21.9% of 96 movements84.9% of 73 movements10.0% of 70 movements8.3% of 96 movements23.3% of 90 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan32.9%12.7–36.2%7 months, 584 flights
Feb21.9%6.9–52.8%7 months, 548 flights
Mar12.5%2.1–84.9%7 months, 555 flights
Apr10.0%5.6–40.3%7 months, 551 flights
May9.7%1.4–30.0%7 months, 591 flights
Jun14.4%1.4–35.1%7 months, 590 flights
Jul11.8%2.8–32.9%6 months, 522 flights
Aug12.1%5.4–27.8%6 months, 522 flights
Sep19.2%10.0–28.1%6 months, 497 flights
Oct23.1%16.8–27.0%6 months, 516 flights
Nov9.2%1.3–24.4%6 months, 532 flights
Dec18.2%9.7–26.9%6 months, 555 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: Qatar Airways, 20.8% of 1,163 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 optionQatar Airways20.8% of 1,163 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Qatar Airways1,16320.8% of 1,163 movements5.6% of 1,163 movements0.3% of 1,163 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, LHR had the lowest disruption share at 20.0% of 3,206 movements and BHX the highest at 21.2% of 335 movements. This route sits at 20.8% of 1,163 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 ↔ Doha-Hamad21.2% of 335 flightsEdi ↔ Doha-Hamad20.0% of 619 flightsLgw ↔ Doha-Hamad20.3% of 477 flightsLhr ↔ Doha-Hamad20.0% of 3,206 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Doha-Hamad33521.2% of 335 movements4.5% of 335 movementsno events in 335 movementsdescriptive comparison
Cwl ↔ Doha-Hamadsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Doha-Hamad61920.0% of 619 movements7.1% of 619 movements0.5% of 619 movementsdescriptive comparison
Gla ↔ Doha-Hamadsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Doha-Hamad47720.3% of 477 movements7.8% of 477 movements0.2% of 477 movementsdescriptive comparison
Lhr ↔ Doha-Hamad3,20620.0% of 3,206 movements3.7% of 3,206 movements0.4% of 3,206 movementsdescriptive comparison
Stn ↔ Doha-Hamadsuppressed: 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 MAN ran 20.8% of 1,163 movements disrupted, departures 40.2% of 1,164 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 MAN20.8% of 1,163 movements5.6% of 1,163 movements0.3% of 1,163 movements
Departures from MAN40.2% of 1,164 movements5.9% of 1,164 movements0.3% of 1,164 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 202621 flights out of 7,78621 × £520 = £10,920
ArrivalsLast 72 months · Jul 2020–Jun 202616 flights out of 5,55416 × £520 = £8,320
DeparturesWhole archive · Jan 2018–Jun 202639 flights out of 7,87839 × £520 = £20,280
DeparturesLast 72 months · Jul 2020–Jun 202631 flights out of 5,64531 × £520 = £16,120
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 airportMANCHESTER · MAN
Final point / countryDOHA HAMAD / QATAR
Final point codesDOH / OTHH
Great-circle distance5,410 km
Maximum statutory amount for the band£520
Average operated arrivals per day3.01
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 archive101

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: 1,163; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

20.8% of 1,163 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

5.6% of 1,163 movements in the same window.

How many delays crossed three hours?

0.3% of 1,163 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?

5,410 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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