UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ BUDAPEST

In the twelve months from July 2025 to June 2026, 20.5% of 1,349 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, 79.5% of 1,349 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 674 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, 20.5% of 1,349 movements were disrupted and 0.2% of 1,349 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
20.5% of 1,349 movements0.2% of 1,349 movements26.6–57.4 min; N of delayed flights=274–5411,349
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: 0.2% of 1,349 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 min20.3%30 min12.7%60 min5.3%120 min1.1%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min20.3% of 1,349 movements2744.9
>30 min12.7% of 1,349 movements1717.9
>60 min5.3% of 1,349 movements7119.0
>120 min1.1% of 1,349 movements1589.9
>180 min0.1% of 1,349 movements2674.5
>360 minno events in 1,349 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 early25919.2%15–1 early54640.4%0–15 late26719.8%16–301037.6%31–601007.4%61…120564.1%121…180131.0%181…36020.1%>36000.0%D=1,350
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0099; 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: Aug 2020, 3.2% of 62 movements. Worst month: Jun 2018, 72.8% of 103 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: 25.0%; sample: 1082018Feb 2018: 25.0%; sample: 96Mar 2018: 28.8%; sample: 104Apr 2018: 52.0%; sample: 102May 2018: 61.1%; sample: 108Jun 2018: 72.8%; sample: 103Jul 2018: 63.9%; sample: 97Aug 2018: 69.1%; sample: 97Sep 2018: 54.4%; sample: 103Oct 2018: 43.8%; sample: 112Nov 2018: 14.6%; sample: 103Dec 2018: 34.3%; sample: 102Jan 2019: 30.6%; sample: 1082019Feb 2019: 15.6%; sample: 96Mar 2019: 20.0%; sample: 105Apr 2019: 19.8%; sample: 106May 2019: 33.9%; sample: 109Jun 2019: 52.0%; sample: 102Jul 2019: 44.9%; sample: 107Aug 2019: 34.9%; sample: 106Sep 2019: 39.8%; sample: 103Oct 2019: 23.4%; sample: 107Nov 2019: 11.9%; sample: 101Dec 2019: 22.9%; sample: 105Jan 2020: 14.2%; sample: 1062020Feb 2020: 25.0%; sample: 104Mar 2020: 18.9%; sample: 90Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 3.2%; sample: 31Aug 2020: 3.2%; sample: 62Sep 2020: 0.0%; sample: 37Oct 2020: 5.4%; sample: 37Nov 2020: 4.0%; sample: 25Dec 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: 0.0%; sample: 46Jul 2021: 12.5%; sample: 64Aug 2021: 6.5%; sample: 93Sep 2021: 5.6%; sample: 90Oct 2021: 8.4%; sample: 95Nov 2021: 5.5%; sample: 91Dec 2021: 20.4%; sample: 103Jan 2022: 8.3%; sample: 602022Feb 2022: 25.7%; sample: 101Mar 2022: 10.4%; sample: 115Apr 2022: 37.0%; sample: 138May 2022: 31.7%; sample: 142Jun 2022: 52.2%; sample: 134Jul 2022: 61.4%; sample: 132Aug 2022: 42.1%; sample: 133Sep 2022: 43.8%; sample: 137Oct 2022: 44.1%; sample: 143Nov 2022: 35.6%; sample: 118Dec 2022: 55.8%; sample: 120Jan 2023: 32.0%; sample: 1222023Feb 2023: 25.0%; sample: 108Mar 2023: 17.4%; sample: 121Apr 2023: 16.5%; sample: 127May 2023: 14.6%; sample: 130Jun 2023: 34.7%; sample: 124Jul 2023: 32.8%; sample: 128Aug 2023: 28.2%; sample: 124Sep 2023: 20.8%; sample: 120Oct 2023: 26.6%; sample: 128Nov 2023: 22.7%; sample: 119Dec 2023: 54.5%; sample: 123Jan 2024: 37.1%; sample: 1242024Feb 2024: 17.4%; sample: 115Mar 2024: 12.4%; sample: 129Apr 2024: 15.8%; sample: 120May 2024: 26.0%; sample: 123Jun 2024: 39.3%; sample: 122Jul 2024: 58.1%; sample: 124Aug 2024: 37.9%; sample: 124Sep 2024: 36.9%; sample: 122Oct 2024: 26.8%; sample: 123Nov 2024: 23.1%; sample: 121Dec 2024: 30.3%; sample: 119Jan 2025: 32.6%; sample: 892025Feb 2025: 9.6%; sample: 104Mar 2025: 9.6%; sample: 115Apr 2025: 15.0%; sample: 120May 2025: 23.4%; sample: 124Jun 2025: 26.1%; sample: 119Jul 2025: 30.6%; sample: 124Aug 2025: 30.6%; sample: 124Sep 2025: 32.8%; sample: 119Oct 2025: 27.0%; sample: 122Nov 2025: 11.9%; sample: 109Dec 2025: 12.3%; sample: 106Jan 2026: 26.5%; sample: 832026Feb 2026: 9.0%; sample: 100Mar 2026: 6.2%; sample: 112Apr 2026: 9.6%; sample: 114May 2026: 16.7%; sample: 120Jun 2026: 29.3%; sample: 116Pandemic 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 201825.0% of 108 movements
Feb 201825.0% of 96 movements
Mar 201828.8% of 104 movements
Apr 201852.0% of 102 movements
May 201861.1% of 108 movements
Jun 201872.8% of 103 movements
Jul 201863.9% of 97 movements
Aug 201869.1% of 97 movements
Sep 201854.4% of 103 movements
Oct 201843.8% of 112 movements
Nov 201814.6% of 103 movements
Dec 201834.3% of 102 movements
Jan 201930.6% of 108 movements
Feb 201915.6% of 96 movements
Mar 201920.0% of 105 movements
Apr 201919.8% of 106 movements
May 201933.9% of 109 movements
Jun 201952.0% of 102 movements
Jul 201944.9% of 107 movements
Aug 201934.9% of 106 movements
Sep 201939.8% of 103 movements
Oct 201923.4% of 107 movements
Nov 201911.9% of 101 movements
Dec 201922.9% of 105 movements
Jan 202014.2% of 106 movements
Feb 202025.0% of 104 movements
Mar 202018.9% of 90 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20203.2% of 31 movements — small sample, not ranked
Aug 20203.2% of 62 movements
Sep 2020no events in 37 movements — small sample, not ranked
Oct 20205.4% of 37 movements — small sample, not ranked
Nov 20204.0% of 25 movements — small sample, not ranked
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 2021no events in 46 movements — small sample, not ranked
Jul 202112.5% of 64 movements
Aug 20216.5% of 93 movements
Sep 20215.6% of 90 movements
Oct 20218.4% of 95 movements
Nov 20215.5% of 91 movements
Dec 202120.4% of 103 movements
Jan 20228.3% of 60 movements
Feb 202225.7% of 101 movements
Mar 202210.4% of 115 movements
Apr 202237.0% of 138 movements
May 202231.7% of 142 movements
Jun 202252.2% of 134 movements
Jul 202261.4% of 132 movements
Aug 202242.1% of 133 movements
Sep 202243.8% of 137 movements
Oct 202244.1% of 143 movements
Nov 202235.6% of 118 movements
Dec 202255.8% of 120 movements
Jan 202332.0% of 122 movements
Feb 202325.0% of 108 movements
Mar 202317.4% of 121 movements
Apr 202316.5% of 127 movements
May 202314.6% of 130 movements
Jun 202334.7% of 124 movements
Jul 202332.8% of 128 movements
Aug 202328.2% of 124 movements
Sep 202320.8% of 120 movements
Oct 202326.6% of 128 movements
Nov 202322.7% of 119 movements
Dec 202354.5% of 123 movements
Jan 202437.1% of 124 movements
Feb 202417.4% of 115 movements
Mar 202412.4% of 129 movements
Apr 202415.8% of 120 movements
May 202426.0% of 123 movements
Jun 202439.3% of 122 movements
Jul 202458.1% of 124 movements
Aug 202437.9% of 124 movements
Sep 202436.9% of 122 movements
Oct 202426.8% of 123 movements
Nov 202423.1% of 121 movements
Dec 202430.3% of 119 movements
Jan 202532.6% of 89 movements
Feb 20259.6% of 104 movements
Mar 20259.6% of 115 movements
Apr 202515.0% of 120 movements
May 202523.4% of 124 movements
Jun 202526.1% of 119 movements
Jul 202530.6% of 124 movements
Aug 202530.6% of 124 movements
Sep 202532.8% of 119 movements
Oct 202527.0% of 122 movements
Nov 202511.9% of 109 movements
Dec 202512.3% of 106 movements
Jan 202626.5% of 83 movements
Feb 20269.0% of 100 movements
Mar 20266.2% of 112 movements
Apr 20269.6% of 114 movements
May 202616.7% of 120 movements
Jun 202629.3% of 116 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 2022Arrivals61.4% of 132 movements18.7% across 1,226 flightsreturned after 8 months
Summer 2022 breakdown · Jul 2022Departures68.9% of 132 movements19.7% across 1,221 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals28.2% of 124 movements32.9% across 1,511 flightsreturned the next month
NATS system failure · Aug 2023Departures37.9% of 124 movements39.2% across 1,499 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals9.6% of 115 movements29.1% across 1,420 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.1% of 116 movements39.9% across 1,416 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, 51.5% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 12.4% across 7 Marchs.

Even July has ranged from 30.6% to 63.9% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201930.6% of 108 movements15.6% of 96 movements20.0% of 105 movements19.8% of 106 movements33.9% of 109 movements52.0% of 102 movements44.9% of 107 movements34.9% of 106 movements39.8% of 103 movements23.4% of 107 movements11.9% of 101 movements22.9% of 105 movements202014.2% of 106 movements25.0% of 104 movements18.9% of 90 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.2% of 31 movements †3.2% of 62 movementsno events in 37 movements †5.4% of 37 movements †4.0% of 25 movements †suppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 46 movements †12.5% of 64 movements6.5% of 93 movements5.6% of 90 movements8.4% of 95 movements5.5% of 91 movements20.4% of 103 movements20228.3% of 60 movements25.7% of 101 movements10.4% of 115 movements37.0% of 138 movements31.7% of 142 movements52.2% of 134 movements61.4% of 132 movements42.1% of 133 movements43.8% of 137 movements44.1% of 143 movements35.6% of 118 movements55.8% of 120 movements202332.0% of 122 movements25.0% of 108 movements17.4% of 121 movements16.5% of 127 movements14.6% of 130 movements34.7% of 124 movements32.8% of 128 movements28.2% of 124 movements20.8% of 120 movements26.6% of 128 movements22.7% of 119 movements54.5% of 123 movements202437.1% of 124 movements17.4% of 115 movements12.4% of 129 movements15.8% of 120 movements26.0% of 123 movements39.3% of 122 movements58.1% of 124 movements37.9% of 124 movements36.9% of 122 movements26.8% of 123 movements23.1% of 121 movements30.3% of 119 movements202532.6% of 89 movements9.6% of 104 movements9.6% of 115 movements15.0% of 120 movements23.4% of 124 movements26.1% of 119 movements30.6% of 124 movements30.6% of 124 movements32.8% of 119 movements27.0% of 122 movements11.9% of 109 movements12.3% of 106 movements202626.5% of 83 movements9.0% of 100 movements6.2% of 112 movements9.6% of 114 movements16.7% of 120 movements29.3% of 116 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan30.6%8.3–37.1%7 months, 694 flights
Feb17.4%9.0–25.7%7 months, 720 flights
Mar12.4%6.2–28.8%7 months, 801 flights
Apr16.5%9.6–52.0%7 months, 827 flights
May26.0%14.6–61.1%7 months, 856 flights
Jun39.3%26.1–72.8%7 months, 820 flights
Jul51.5%30.6–63.9%6 months, 712 flights
Aug36.4%28.2–69.1%6 months, 708 flights
Sep38.3%20.8–54.4%6 months, 704 flights
Oct26.9%23.4–44.1%6 months, 735 flights
Nov18.6%11.9–35.6%6 months, 671 flights
Dec32.3%12.3–55.8%6 months, 675 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 19.6% of 1,298 movements, Ryanair Uk 44.0% of 50 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 optionRyanair19.6% of 1,298 flightsRyanair Uk44.0% of 50 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair1,29819.6% of 1,298 movements0.2% of 1,298 movementsno events in 1,298 movementsdescriptive comparison
Ryanair Sunsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair Uk5044.0% of 50 movementsno events in 50 movements4.0% of 50 movementsdescriptive comparison
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

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, EMA had the lowest disruption share at 10.8% of 111 movements and BFS the highest at 38.9% of 95 movements. This route sits at 20.5% of 1,349 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 optionBfs ↔ Budapest38.9% of 95 flightsBhx ↔ Budapest23.1% of 351 flightsBrs ↔ Budapest30.0% of 293 flightsEdi ↔ Budapest21.9% of 379 flightsEma ↔ Budapest10.8% of 111 flightsGla ↔ Budapest †32.7% of 49 flightsLba ↔ Budapest22.1% of 68 flightsLgw ↔ Budapest28.1% of 730 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Budapest9538.9% of 95 movementsno events in 95 movements2.1% of 95 movementsdescriptive comparison
Bhd ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Budapest35123.1% of 351 movementsno events in 351 movements0.9% of 351 movementsdescriptive comparison
Boh ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Budapest29330.0% of 293 movementsno events in 293 movementsno events in 293 movementsdescriptive comparison
Cwl ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Budapest37921.9% of 379 movements0.5% of 379 movements0.3% of 379 movementsdescriptive comparison
Ema ↔ Budapest11110.8% of 111 movementsno events in 111 movements0.9% of 111 movementsdescriptive comparison
Gla ↔ Budapest4932.7% of 49 movements — small sample, not rankedno events in 49 movements — small sample, not ranked2.0% of 49 movements — small sample, not rankedsmall sample; not ranked
Lba ↔ Budapest6822.1% of 68 movementsno events in 68 movementsno events in 68 movementsdescriptive comparison
Lcy ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Budapest73028.1% of 730 movements0.1% of 730 movements0.4% of 730 movementsdescriptive comparison
Lhr ↔ Budapest1,31020.2% of 1,310 movements0.9% of 1,310 movements0.5% of 1,310 movementsdescriptive comparison
Lpl ↔ Budapest13810.9% of 138 movementsno events in 138 movementsno events in 138 movementsdescriptive comparison
Ltn ↔ Budapest1,06219.8% of 1,062 movements0.1% of 1,062 movements0.2% of 1,062 movementsdescriptive comparison
Man ↔ Budapest65230.1% of 652 movements0.2% of 652 movementsno events in 652 movementsdescriptive comparison
Ncl ↔ Budapest12912.4% of 129 movementsno events in 129 movementsno events in 129 movementsdescriptive comparison
Sen ↔ Budapestsuppressed: 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 STN ran 20.5% of 1,349 movements disrupted, departures 28.8% of 1,350 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 STN20.5% of 1,349 movements0.2% of 1,349 movements0.1% of 1,349 movements
Departures from STN28.8% of 1,350 movements0.3% of 1,350 movements0.4% of 1,350 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 202662 flights out of 10,13262 × £220 = £13,640
ArrivalsLast 72 months · Jul 2020–Jun 202636 flights out of 7,29136 × £220 = £7,920
DeparturesWhole archive · Jan 2018–Jun 202636 flights out of 10,10636 × £220 = £7,920
DeparturesLast 72 months · Jul 2020–Jun 202629 flights out of 7,26729 × £220 = £6,380
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 / countryBUDAPEST / HUNGARY
Final point codesBUD / LHBP
Great-circle distance1,451 km
Maximum statutory amount for the band£220
Average operated arrivals per day3.69
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: 1; all recorded operations: 1,350; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

20.5% of 1,349 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.2% of 1,349 movements in the same window.

How many delays crossed three hours?

0.1% of 1,349 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?

1,451 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

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