UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ EINDHOVEN

In the twelve months from July 2025 to June 2026, 27.1% of 1,069 movements arriving into STN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 72.9% of 1,069 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 178 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, 27.1% of 1,069 movements were disrupted and 0.3% of 1,069 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
27.1% of 1,069 movements0.3% of 1,069 movements30.3–59.2 min; N of delayed flights=287–5251,069
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: 0.3% of 1,069 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 min26.8%30 min18.5%60 min6.9%120 min1.0%180 min0.6%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min26.8% of 1,069 movements2873.7
>30 min18.5% of 1,069 movements1985.4
>60 min6.9% of 1,069 movements7414.4
>120 min1.0% of 1,069 movements1197.2
>180 min0.6% of 1,069 movements6178.2
>360 minno events in 1,069 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?

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 early13112.3%15–1 early41038.4%0–15 late23822.3%16–30898.3%31–6012411.6%61…120635.9%121…18050.5%181…36060.6%>36000.0%D=1,069
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0282; 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: Dec 2025, 10.7% of 84 movements. Worst month: Dec 2022, 63.7% of 80 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: 22.8%; sample: 792018Feb 2018: 25.0%; sample: 72Mar 2018: 35.1%; sample: 77Apr 2018: 40.0%; sample: 60May 2018: 45.2%; sample: 62Jun 2018: 56.7%; sample: 60Jul 2018: 40.6%; sample: 64Aug 2018: 33.9%; sample: 62Sep 2018: 40.0%; sample: 60Oct 2018: 41.3%; sample: 63Nov 2018: 20.5%; sample: 73Dec 2018: 47.2%; sample: 72Jan 2019: 20.5%; sample: 732019Feb 2019: 21.4%; sample: 70Mar 2019: 17.3%; sample: 75Apr 2019: 13.3%; sample: 90May 2019: 10.8%; sample: 93Jun 2019: 23.3%; sample: 90Jul 2019: 20.4%; sample: 93Aug 2019: 17.2%; sample: 93Sep 2019: 13.3%; sample: 90Oct 2019: 17.8%; sample: 90Nov 2019: 25.4%; sample: 67Dec 2019: 31.5%; sample: 73Jan 2020: 24.3%; sample: 742020Feb 2020: 28.8%; sample: 66Mar 2020: 15.9%; sample: 63Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 6.5%; sample: 31Aug 2020: 4.7%; sample: 43Sep 2020: 4.0%; sample: 25Oct 2020: suppressed: fewer than twenty movements×Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 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: suppressed: fewer than twenty movements×Aug 2021: 15.6%; sample: 32Sep 2021: 6.7%; sample: 30Oct 2021: 24.2%; sample: 33Nov 2021: 21.7%; sample: 60Dec 2021: 20.0%; sample: 80Jan 2022: 15.2%; sample: 462022Feb 2022: 30.8%; sample: 65Mar 2022: 15.1%; sample: 86Apr 2022: 31.1%; sample: 90May 2022: 30.1%; sample: 93Jun 2022: 51.7%; sample: 89Jul 2022: 50.0%; sample: 94Aug 2022: 41.5%; sample: 94Sep 2022: 47.8%; sample: 90Oct 2022: 38.7%; sample: 93Nov 2022: 27.5%; sample: 80Dec 2022: 63.7%; sample: 80Jan 2023: 29.8%; sample: 842023Feb 2023: 13.2%; sample: 76Mar 2023: 27.9%; sample: 86Apr 2023: 36.7%; sample: 90May 2023: 30.1%; sample: 93Jun 2023: 38.9%; sample: 90Jul 2023: 54.8%; sample: 93Aug 2023: 46.2%; sample: 93Sep 2023: 32.2%; sample: 90Oct 2023: 48.9%; sample: 92Nov 2023: 23.2%; sample: 82Dec 2023: 45.7%; sample: 81Jan 2024: 24.4%; sample: 822024Feb 2024: 20.0%; sample: 80Mar 2024: 14.5%; sample: 83Apr 2024: 45.6%; sample: 90May 2024: 39.4%; sample: 94Jun 2024: 37.8%; sample: 90Jul 2024: 62.8%; sample: 94Aug 2024: 53.8%; sample: 93Sep 2024: 62.2%; sample: 90Oct 2024: 42.9%; sample: 91Nov 2024: 36.1%; sample: 83Dec 2024: 43.4%; sample: 83Jan 2025: 38.4%; sample: 862025Feb 2025: 26.2%; sample: 80Mar 2025: 12.4%; sample: 89Apr 2025: 29.3%; sample: 92May 2025: 25.8%; sample: 93Jun 2025: 33.3%; sample: 90Jul 2025: 48.4%; sample: 95Aug 2025: 36.6%; sample: 93Sep 2025: 35.6%; sample: 90Oct 2025: 22.5%; sample: 89Nov 2025: 13.8%; sample: 87Dec 2025: 10.7%; sample: 84Jan 2026: 21.3%; sample: 892026Feb 2026: 12.3%; sample: 81Mar 2026: 20.2%; sample: 89Apr 2026: 23.6%; sample: 89May 2026: 25.8%; sample: 93Jun 2026: 50.0%; 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 201822.8% of 79 movements
Feb 201825.0% of 72 movements
Mar 201835.1% of 77 movements
Apr 201840.0% of 60 movements
May 201845.2% of 62 movements
Jun 201856.7% of 60 movements
Jul 201840.6% of 64 movements
Aug 201833.9% of 62 movements
Sep 201840.0% of 60 movements
Oct 201841.3% of 63 movements
Nov 201820.5% of 73 movements
Dec 201847.2% of 72 movements
Jan 201920.5% of 73 movements
Feb 201921.4% of 70 movements
Mar 201917.3% of 75 movements
Apr 201913.3% of 90 movements
May 201910.8% of 93 movements
Jun 201923.3% of 90 movements
Jul 201920.4% of 93 movements
Aug 201917.2% of 93 movements
Sep 201913.3% of 90 movements
Oct 201917.8% of 90 movements
Nov 201925.4% of 67 movements
Dec 201931.5% of 73 movements
Jan 202024.3% of 74 movements
Feb 202028.8% of 66 movements
Mar 202015.9% of 63 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20206.5% of 31 movements — small sample, not ranked
Aug 20204.7% of 43 movements — small sample, not ranked
Sep 20204.0% of 25 movements — small sample, not ranked
Oct 2020suppressed: fewer than twenty movements
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
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 2021suppressed: fewer than twenty movements
Aug 202115.6% of 32 movements — small sample, not ranked
Sep 20216.7% of 30 movements — small sample, not ranked
Oct 202124.2% of 33 movements — small sample, not ranked
Nov 202121.7% of 60 movements
Dec 202120.0% of 80 movements
Jan 202215.2% of 46 movements — small sample, not ranked
Feb 202230.8% of 65 movements
Mar 202215.1% of 86 movements
Apr 202231.1% of 90 movements
May 202230.1% of 93 movements
Jun 202251.7% of 89 movements
Jul 202250.0% of 94 movements
Aug 202241.5% of 94 movements
Sep 202247.8% of 90 movements
Oct 202238.7% of 93 movements
Nov 202227.5% of 80 movements
Dec 202263.7% of 80 movements
Jan 202329.8% of 84 movements
Feb 202313.2% of 76 movements
Mar 202327.9% of 86 movements
Apr 202336.7% of 90 movements
May 202330.1% of 93 movements
Jun 202338.9% of 90 movements
Jul 202354.8% of 93 movements
Aug 202346.2% of 93 movements
Sep 202332.2% of 90 movements
Oct 202348.9% of 92 movements
Nov 202323.2% of 82 movements
Dec 202345.7% of 81 movements
Jan 202424.4% of 82 movements
Feb 202420.0% of 80 movements
Mar 202414.5% of 83 movements
Apr 202445.6% of 90 movements
May 202439.4% of 94 movements
Jun 202437.8% of 90 movements
Jul 202462.8% of 94 movements
Aug 202453.8% of 93 movements
Sep 202462.2% of 90 movements
Oct 202442.9% of 91 movements
Nov 202436.1% of 83 movements
Dec 202443.4% of 83 movements
Jan 202538.4% of 86 movements
Feb 202526.2% of 80 movements
Mar 202512.4% of 89 movements
Apr 202529.3% of 92 movements
May 202525.8% of 93 movements
Jun 202533.3% of 90 movements
Jul 202548.4% of 95 movements
Aug 202536.6% of 93 movements
Sep 202535.6% of 90 movements
Oct 202522.5% of 89 movements
Nov 202513.8% of 87 movements
Dec 202510.7% of 84 movements
Jan 202621.3% of 89 movements
Feb 202612.3% of 81 movements
Mar 202620.2% of 89 movements
Apr 202623.6% of 89 movements
May 202625.8% of 93 movements
Jun 202650.0% 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 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 2022Arrivals50.0% of 94 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures37.2% of 94 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals46.2% of 93 movements37.5% across 1,049 flightsreturned the next month
NATS system failure · Aug 2023Departures45.2% of 93 movements28.7% across 1,050 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals12.4% of 89 movements41.9% across 1,057 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures3.4% of 89 movements25.4% across 1,055 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?

July has historically been the hardest month on this route: in a typical July, 49.2% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 17.3% across 7 Marchs.

Even July has ranged from 20.4% to 62.8% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201920.5% of 73 movements21.4% of 70 movements17.3% of 75 movements13.3% of 90 movements10.8% of 93 movements23.3% of 90 movements20.4% of 93 movements17.2% of 93 movements13.3% of 90 movements17.8% of 90 movements25.4% of 67 movements31.5% of 73 movements202024.3% of 74 movements28.8% of 66 movements15.9% of 63 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements6.5% of 31 movements †4.7% of 43 movements †4.0% of 25 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements15.6% of 32 movements †6.7% of 30 movements †24.2% of 33 movements †21.7% of 60 movements20.0% of 80 movements202215.2% of 46 movements †30.8% of 65 movements15.1% of 86 movements31.1% of 90 movements30.1% of 93 movements51.7% of 89 movements50.0% of 94 movements41.5% of 94 movements47.8% of 90 movements38.7% of 93 movements27.5% of 80 movements63.7% of 80 movements202329.8% of 84 movements13.2% of 76 movements27.9% of 86 movements36.7% of 90 movements30.1% of 93 movements38.9% of 90 movements54.8% of 93 movements46.2% of 93 movements32.2% of 90 movements48.9% of 92 movements23.2% of 82 movements45.7% of 81 movements202424.4% of 82 movements20.0% of 80 movements14.5% of 83 movements45.6% of 90 movements39.4% of 94 movements37.8% of 90 movements62.8% of 94 movements53.8% of 93 movements62.2% of 90 movements42.9% of 91 movements36.1% of 83 movements43.4% of 83 movements202538.4% of 86 movements26.2% of 80 movements12.4% of 89 movements29.3% of 92 movements25.8% of 93 movements33.3% of 90 movements48.4% of 95 movements36.6% of 93 movements35.6% of 90 movements22.5% of 89 movements13.8% of 87 movements10.7% of 84 movements202621.3% of 89 movements12.3% of 81 movements20.2% of 89 movements23.6% of 89 movements25.8% of 93 movements50.0% of 90 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.8%15.2–38.4%7 months, 539 flights
Feb21.4%12.3–30.8%7 months, 524 flights
Mar17.3%12.4–35.1%7 months, 585 flights
Apr31.1%13.3–45.6%7 months, 601 flights
May30.1%10.8–45.2%7 months, 621 flights
Jun38.9%23.3–56.7%7 months, 599 flights
Jul49.2%20.4–62.8%6 months, 533 flights
Aug39.0%17.2–53.8%6 months, 528 flights
Sep37.8%13.3–62.2%6 months, 510 flights
Oct40.0%17.8–48.9%6 months, 518 flights
Nov24.3%13.8–36.1%6 months, 472 flights
Dec44.5%10.7–63.7%6 months, 473 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: Ryanair Uk 25.0% of 60 movements, Ryanair 27.3% of 1,009 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 optionRyanair27.3% of 1,009 flightsRyanair Uk25.0% of 60 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ryanair1,00927.3% of 1,009 movements0.3% of 1,009 movements0.4% of 1,009 movementsdescriptive comparison
Ryanair Uk6025.0% of 60 movementsno events in 60 movements3.3% of 60 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, MAN had the lowest disruption share at 32.2% of 87 movements and MAN the highest at 32.2% of 87 movements. This route sits at 27.1% of 1,069 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 optionMan ↔ Eindhoven32.2% of 87 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Eindhovensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Eindhovensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Eindhovensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Eindhovensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Eindhovensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Eindhovensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Eindhovensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Eindhovensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Eindhovensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Eindhoven8732.2% of 87 movementsno events in 87 movements1.1% of 87 movementsdescriptive comparison
Mme ↔ Eindhovensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Eindhovensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Barely: arrivals into STN ran 27.1% of 1,069 movements disrupted, departures 24.9% of 1,068 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 STN27.1% of 1,069 movements0.3% of 1,069 movements0.6% of 1,069 movements
Departures from STN24.9% of 1,068 movements0.1% of 1,068 movementsno events in 1,068 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 202660 flights out of 7,11260 × £220 = £13,200
ArrivalsLast 72 months · Jul 2020–Jun 202642 flights out of 5,06942 × £220 = £9,240
DeparturesWhole archive · Jan 2018–Jun 202617 flights out of 7,10417 × £220 = £3,740
DeparturesLast 72 months · Jul 2020–Jun 202610 flights out of 5,06710 × £220 = £2,200
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 airportSTANSTED · STN
Final point / countryEINDHOVEN / NETHERLANDS
Final point codesEIN / EHEH
Great-circle distance358 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 monthJan 2018–Jun 2026
Months with operations in the archive99

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: 1,069; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

27.1% of 1,069 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.3% of 1,069 movements in the same window.

How many delays crossed three hours?

0.6% of 1,069 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?

358 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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