UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ BUDAPEST

In the twelve months from July 2025 to June 2026, 19.8% of 1,062 movements arriving into LTN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 80.2% of 1,062 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 531 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, 19.8% of 1,062 movements were disrupted and 0.1% of 1,062 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
19.8% of 1,062 movements0.1% of 1,062 movements28.3–61.0 min; N of delayed flights=209–4141,062
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: 0.1% of 1,062 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 min19.7%30 min11.8%60 min5.9%120 min1.2%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min19.7% of 1,062 movements2095.1
>30 min11.8% of 1,062 movements1258.5
>60 min5.9% of 1,062 movements6316.9
>120 min1.2% of 1,062 movements1381.7
>180 min0.2% of 1,062 movements2531.0
>360 minno events in 1,062 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 early18417.3%15–1 early46343.6%0–15 late20519.3%16–30847.9%31–60625.8%61…120504.7%121…180111.0%181…36020.2%>36000.0%D=1,062
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0137; 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: Mar 2026, 3.7% of 82 movements. Worst month: Jun 2022, 73.1% of 93 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: 33.9%; sample: 1152018Feb 2018: 25.2%; sample: 103Mar 2018: 34.6%; sample: 133Apr 2018: 46.7%; sample: 137May 2018: 30.1%; sample: 133Jun 2018: 51.2%; sample: 127Jul 2018: 41.3%; sample: 138Aug 2018: 34.1%; sample: 138Sep 2018: 31.8%; sample: 132Oct 2018: 22.1%; sample: 136Nov 2018: 8.7%; sample: 115Dec 2018: 32.0%; sample: 128Jan 2019: 15.4%; sample: 1232019Feb 2019: 15.9%; sample: 113Mar 2019: 25.0%; sample: 120Apr 2019: 20.0%; sample: 125May 2019: 26.2%; sample: 130Jun 2019: 45.5%; sample: 121Jul 2019: 37.3%; sample: 134Aug 2019: 47.8%; sample: 134Sep 2019: 35.5%; sample: 124Oct 2019: 33.9%; sample: 124Nov 2019: 20.6%; sample: 107Dec 2019: 34.5%; sample: 116Jan 2020: 27.7%; sample: 1122020Feb 2020: 44.7%; sample: 103Mar 2020: 14.3%; sample: 98Apr 2020: 12.2%; sample: 41May 2020: 25.0%; sample: 40Jun 2020: 14.3%; sample: 42Jul 2020: 4.8%; sample: 62Aug 2020: 13.5%; sample: 74Sep 2020: 5.9%; sample: 34Oct 2020: 4.5%; sample: 22Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 41.7%; sample: 36Jan 2021: 31.8%; sample: 222021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: 15.0%; sample: 20May 2021: 4.8%; sample: 21Jun 2021: 12.5%; sample: 32Jul 2021: 8.8%; sample: 34Aug 2021: 25.3%; sample: 87Sep 2021: 25.6%; sample: 78Oct 2021: 21.2%; sample: 80Nov 2021: 13.3%; sample: 60Dec 2021: 39.5%; sample: 81Jan 2022: 20.6%; sample: 632022Feb 2022: 25.5%; sample: 47Mar 2022: 16.4%; sample: 73Apr 2022: 31.7%; sample: 101May 2022: 44.1%; sample: 93Jun 2022: 73.1%; sample: 93Jul 2022: 69.7%; sample: 99Aug 2022: 51.6%; sample: 93Sep 2022: 52.2%; sample: 90Oct 2022: 46.3%; sample: 95Nov 2022: 13.6%; sample: 81Dec 2022: 41.1%; sample: 90Jan 2023: 28.9%; sample: 762023Feb 2023: 28.2%; sample: 71Mar 2023: 40.2%; sample: 82Apr 2023: 38.5%; sample: 91May 2023: 29.3%; sample: 92Jun 2023: 47.8%; sample: 90Jul 2023: 60.2%; sample: 93Aug 2023: 49.5%; sample: 93Sep 2023: 30.4%; sample: 92Oct 2023: 40.0%; sample: 95Nov 2023: 23.5%; sample: 81Dec 2023: 38.2%; sample: 89Jan 2024: 43.5%; sample: 852024Feb 2024: 24.1%; sample: 79Mar 2024: 16.1%; sample: 87Apr 2024: 16.7%; sample: 90May 2024: 29.0%; sample: 93Jun 2024: 40.0%; sample: 90Jul 2024: 55.7%; sample: 97Aug 2024: 45.7%; sample: 94Sep 2024: 41.1%; sample: 90Oct 2024: 22.6%; sample: 93Nov 2024: 17.8%; sample: 90Dec 2024: 11.3%; sample: 97Jan 2025: 26.0%; sample: 962025Feb 2025: 9.3%; sample: 86Mar 2025: 10.1%; sample: 89Apr 2025: 23.1%; sample: 91May 2025: 14.7%; sample: 95Jun 2025: 17.8%; sample: 90Jul 2025: 16.3%; sample: 92Aug 2025: 29.8%; sample: 94Sep 2025: 25.6%; sample: 90Oct 2025: 25.3%; sample: 91Nov 2025: 10.3%; sample: 78Dec 2025: 19.6%; sample: 92Jan 2026: 44.7%; sample: 852026Feb 2026: 8.1%; sample: 74Mar 2026: 3.7%; sample: 82Apr 2026: 15.4%; sample: 91May 2026: 18.9%; sample: 111Jun 2026: 15.9%; sample: 82Pandemic 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 201833.9% of 115 movements
Feb 201825.2% of 103 movements
Mar 201834.6% of 133 movements
Apr 201846.7% of 137 movements
May 201830.1% of 133 movements
Jun 201851.2% of 127 movements
Jul 201841.3% of 138 movements
Aug 201834.1% of 138 movements
Sep 201831.8% of 132 movements
Oct 201822.1% of 136 movements
Nov 20188.7% of 115 movements
Dec 201832.0% of 128 movements
Jan 201915.4% of 123 movements
Feb 201915.9% of 113 movements
Mar 201925.0% of 120 movements
Apr 201920.0% of 125 movements
May 201926.2% of 130 movements
Jun 201945.5% of 121 movements
Jul 201937.3% of 134 movements
Aug 201947.8% of 134 movements
Sep 201935.5% of 124 movements
Oct 201933.9% of 124 movements
Nov 201920.6% of 107 movements
Dec 201934.5% of 116 movements
Jan 202027.7% of 112 movements
Feb 202044.7% of 103 movements
Mar 202014.3% of 98 movements
Apr 202012.2% of 41 movements — small sample, not ranked
May 202025.0% of 40 movements — small sample, not ranked
Jun 202014.3% of 42 movements — small sample, not ranked
Jul 20204.8% of 62 movements
Aug 202013.5% of 74 movements
Sep 20205.9% of 34 movements — small sample, not ranked
Oct 20204.5% of 22 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 202041.7% of 36 movements — small sample, not ranked
Jan 202131.8% of 22 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 202115.0% of 20 movements — small sample, not ranked
May 20214.8% of 21 movements — small sample, not ranked
Jun 202112.5% of 32 movements — small sample, not ranked
Jul 20218.8% of 34 movements — small sample, not ranked
Aug 202125.3% of 87 movements
Sep 202125.6% of 78 movements
Oct 202121.2% of 80 movements
Nov 202113.3% of 60 movements
Dec 202139.5% of 81 movements
Jan 202220.6% of 63 movements
Feb 202225.5% of 47 movements — small sample, not ranked
Mar 202216.4% of 73 movements
Apr 202231.7% of 101 movements
May 202244.1% of 93 movements
Jun 202273.1% of 93 movements
Jul 202269.7% of 99 movements
Aug 202251.6% of 93 movements
Sep 202252.2% of 90 movements
Oct 202246.3% of 95 movements
Nov 202213.6% of 81 movements
Dec 202241.1% of 90 movements
Jan 202328.9% of 76 movements
Feb 202328.2% of 71 movements
Mar 202340.2% of 82 movements
Apr 202338.5% of 91 movements
May 202329.3% of 92 movements
Jun 202347.8% of 90 movements
Jul 202360.2% of 93 movements
Aug 202349.5% of 93 movements
Sep 202330.4% of 92 movements
Oct 202340.0% of 95 movements
Nov 202323.5% of 81 movements
Dec 202338.2% of 89 movements
Jan 202443.5% of 85 movements
Feb 202424.1% of 79 movements
Mar 202416.1% of 87 movements
Apr 202416.7% of 90 movements
May 202429.0% of 93 movements
Jun 202440.0% of 90 movements
Jul 202455.7% of 97 movements
Aug 202445.7% of 94 movements
Sep 202441.1% of 90 movements
Oct 202422.6% of 93 movements
Nov 202417.8% of 90 movements
Dec 202411.3% of 97 movements
Jan 202526.0% of 96 movements
Feb 20259.3% of 86 movements
Mar 202510.1% of 89 movements
Apr 202523.1% of 91 movements
May 202514.7% of 95 movements
Jun 202517.8% of 90 movements
Jul 202516.3% of 92 movements
Aug 202529.8% of 94 movements
Sep 202525.6% of 90 movements
Oct 202525.3% of 91 movements
Nov 202510.3% of 78 movements
Dec 202519.6% of 92 movements
Jan 202644.7% of 85 movements
Feb 20268.1% of 74 movements
Mar 20263.7% of 82 movements
Apr 202615.4% of 91 movements
May 202618.9% of 111 movements
Jun 202615.9% of 82 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 2020Arrivals14.3% of 42 movements — small sample, not ranked31.6% across 1,254 flightsreturned the next month
Pandemic regime · Jun 2020Departures16.7% of 42 movements — small sample, not ranked35.0% across 1,257 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals69.7% of 99 movements28.8% across 890 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures91.1% of 101 movements47.8% across 891 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals49.5% of 93 movements39.8% across 1,044 flightsreturned the next month
NATS system failure · Aug 2023Departures73.1% of 93 movements66.5% across 1,041 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals10.1% of 89 movements27.6% across 1,103 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures19.1% of 89 movements44.3% 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?

July has historically been the hardest month on this route: in a typical July, 48.5% of arrivals were disrupted, measured across 6 Julys in the archive. November has been the calmest, at 15.7% across 6 Novembers.

Even July has ranged from 16.3% to 69.7% in different years, so this is a record of what happened, not a forecast of what will. Lower is better throughout.

Each cell is one calendar month of one year; the number is the share of that month’s arrivals that were disrupted. Darker means worse. A blank cell means no published data, not zero.

Seasonality: calendar month by year; share and nJanFebMarAprMayJunJulAugSepOctNovDec201915.4% of 123 movements15.9% of 113 movements25.0% of 120 movements20.0% of 125 movements26.2% of 130 movements45.5% of 121 movements37.3% of 134 movements47.8% of 134 movements35.5% of 124 movements33.9% of 124 movements20.6% of 107 movements34.5% of 116 movements202027.7% of 112 movements44.7% of 103 movements14.3% of 98 movements12.2% of 41 movements †25.0% of 40 movements †14.3% of 42 movements †4.8% of 62 movements13.5% of 74 movements5.9% of 34 movements †4.5% of 22 movements †suppressed: fewer than twenty movements41.7% of 36 movements †202131.8% of 22 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements15.0% of 20 movements †4.8% of 21 movements †12.5% of 32 movements †8.8% of 34 movements †25.3% of 87 movements25.6% of 78 movements21.2% of 80 movements13.3% of 60 movements39.5% of 81 movements202220.6% of 63 movements25.5% of 47 movements †16.4% of 73 movements31.7% of 101 movements44.1% of 93 movements73.1% of 93 movements69.7% of 99 movements51.6% of 93 movements52.2% of 90 movements46.3% of 95 movements13.6% of 81 movements41.1% of 90 movements202328.9% of 76 movements28.2% of 71 movements40.2% of 82 movements38.5% of 91 movements29.3% of 92 movements47.8% of 90 movements60.2% of 93 movements49.5% of 93 movements30.4% of 92 movements40.0% of 95 movements23.5% of 81 movements38.2% of 89 movements202443.5% of 85 movements24.1% of 79 movements16.1% of 87 movements16.7% of 90 movements29.0% of 93 movements40.0% of 90 movements55.7% of 97 movements45.7% of 94 movements41.1% of 90 movements22.6% of 93 movements17.8% of 90 movements11.3% of 97 movements202526.0% of 96 movements9.3% of 86 movements10.1% of 89 movements23.1% of 91 movements14.7% of 95 movements17.8% of 90 movements16.3% of 92 movements29.8% of 94 movements25.6% of 90 movements25.3% of 91 movements10.3% of 78 movements19.6% of 92 movements202644.7% of 85 movements8.1% of 74 movements3.7% of 82 movements15.4% of 91 movements18.9% of 111 movements15.9% of 82 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan28.9%15.4–44.7%7 months, 643 flights
Feb24.1%8.1–28.2%7 months, 573 flights
Mar16.4%3.7–40.2%7 months, 666 flights
Apr23.1%15.4–46.7%7 months, 726 flights
May29.0%14.7–44.1%7 months, 747 flights
Jun45.5%15.9–73.1%7 months, 693 flights
Jul48.5%16.3–69.7%6 months, 653 flights
Aug46.8%29.8–51.6%6 months, 646 flights
Sep33.7%25.6–52.2%6 months, 618 flights
Oct29.6%22.1–46.3%6 months, 634 flights
Nov15.7%8.7–23.5%6 months, 552 flights
Dec33.3%11.3–41.1%6 months, 612 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: Wizz Air, 19.0% of 1,045 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 optionWizz Air19.0% of 1,045 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Carpatairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Enter Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Heston Airlines Uabsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Itali Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Smartwingssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Vistajet Maltasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Air1,04519.0% of 1,045 movements0.1% of 1,045 movements0.1% of 1,045 movementsdescriptive comparison
Wizz Air Maltasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Air Uksuppressed: 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 19.8% of 1,062 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
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
Stn ↔ Budapest1,34920.5% of 1,349 movements0.2% of 1,349 movements0.1% of 1,349 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LTN ran 19.8% of 1,062 movements disrupted, departures 30.7% of 1,052 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 LTN19.8% of 1,062 movements0.1% of 1,062 movements0.2% of 1,062 movements
Departures from LTN30.7% of 1,052 movements0.2% of 1,052 movements0.4% of 1,052 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 202658 flights out of 8,99258 × £220 = £12,760
ArrivalsLast 72 months · Jul 2020–Jun 202632 flights out of 5,55032 × £220 = £7,040
DeparturesWhole archive · Jan 2018–Jun 202697 flights out of 8,96097 × £220 = £21,340
DeparturesLast 72 months · Jul 2020–Jun 202666 flights out of 5,52766 × £220 = £14,520
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 airportLUTON · LTN
Final point / countryBUDAPEST / HUNGARY
Final point codesBUD / LHBP
Great-circle distance1,492 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.91
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthJan 2018–Jun 2026
Months with operations in the archive102

origin_destination is the final point of the CAA service, not evidence of a nonstop connection. The distance joins the coordinates of the named airports; the actual track is unknown. Frequency describes published operations.

What this data cannot tell you

Delay cause is not published in the regulator's open data. Monthly aggregates describe a population, not a specific flight. Cells below twenty operations are suppressed; twenty to forty-nine are descriptive only and not ranked. Arrivals and departures do not add up. Cancellations are short-notice only, by the CAA definition. A movement is not the same as a scheduled flight.

0 operations (0.00%) excluded because their published percentages could not be reconciled to whole numbers. Excluded operations enter neither the numerator nor the denominator. Outcome figures and comparisons are unavailable when the excluded share exceeds fifteen percent.

Data-quality counters for this route

Zero observed events does not mean zero risk. Operator coverage against the Summary file is not established in this record; comparisons are limited to the published population.

Unmatched records: 0; all recorded operations: 1,062; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

19.8% of 1,062 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.1% of 1,062 movements in the same window.

How many delays crossed three hours?

0.2% of 1,062 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?

1,492 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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