UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ SOFIA

In the twelve months from July 2025 to June 2026, 22.9% of 576 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, 77.1% of 576 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: no such event in this sample, which does not mean zero risk 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, 22.9% of 576 movements were disrupted and 0.2% of 576 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
22.9% of 576 movements0.2% of 576 movements19.3–53.9 min; N of delayed flights=131–336576
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 576 movements. “One in N” means how many arrivals you would typically see between events at that level.

Delay threshold ladder; count and share of known operations15 min22.7%30 min10.1%60 min4.0%120 min1.0%180 min0.0%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.7% of 576 movements1314.4
>30 min10.1% of 576 movements589.9
>60 min4.0% of 576 movements2325.0
>120 min1.0% of 576 movements696.0
>180 minno events in 576 movements0no observed events, which is not zero risk
>360 minno events in 576 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 early10117.5%15–1 early13824.0%0–15 late20535.6%16–307312.7%31–60356.1%61…120173.0%121…18061.0%181…36000.0%>36000.0%D=576
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0000; 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: Jun 2020, 1.7% of 60 movements. Worst month: Jul 2022, 70.4% of 81 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: 20.8%; sample: 722018Feb 2018: 18.2%; sample: 66Mar 2018: 9.7%; sample: 72Apr 2018: 12.0%; sample: 75May 2018: 14.7%; sample: 75Jun 2018: 16.7%; sample: 72Jul 2018: 21.3%; sample: 75Aug 2018: 14.3%; sample: 77Sep 2018: 15.5%; sample: 71Oct 2018: 2.7%; sample: 75Nov 2018: 11.4%; sample: 70Dec 2018: 23.9%; sample: 71Jan 2019: 8.2%; sample: 732019Feb 2019: 10.9%; sample: 64Mar 2019: 14.5%; sample: 69Apr 2019: 8.3%; sample: 72May 2019: 16.9%; sample: 77Jun 2019: 36.1%; sample: 72Jul 2019: 33.3%; sample: 75Aug 2019: 23.4%; sample: 77Sep 2019: 37.5%; sample: 72Oct 2019: 29.6%; sample: 71Nov 2019: 2.9%; sample: 68Dec 2019: 8.1%; sample: 74Jan 2020: 5.4%; sample: 742020Feb 2020: 35.4%; sample: 65Mar 2020: 8.5%; sample: 71Apr 2020: 34.6%; sample: 52May 2020: 10.7%; sample: 75Jun 2020: 1.7%; sample: 60Jul 2020: 17.7%; sample: 62Aug 2020: 37.1%; sample: 62Sep 2020: 22.4%; sample: 58Oct 2020: 16.3%; sample: 49Nov 2020: 16.1%; sample: 31Dec 2020: 31.9%; sample: 72Jan 2021: 34.7%; sample: 492021Feb 2021: 15.6%; sample: 45Mar 2021: 10.0%; sample: 40Apr 2021: 23.1%; sample: 39May 2021: 26.8%; sample: 41Jun 2021: 23.4%; sample: 47Jul 2021: 47.2%; sample: 53Aug 2021: 39.4%; sample: 71Sep 2021: 16.2%; sample: 68Oct 2021: 21.1%; sample: 71Nov 2021: 4.5%; sample: 44Dec 2021: 25.9%; sample: 54Jan 2022: 22.9%; sample: 482022Feb 2022: 27.5%; sample: 40Mar 2022: 20.3%; sample: 59Apr 2022: 38.9%; sample: 72May 2022: 34.7%; sample: 75Jun 2022: 54.8%; sample: 73Jul 2022: 70.4%; sample: 81Aug 2022: 40.0%; sample: 70Sep 2022: 54.4%; sample: 68Oct 2022: 47.3%; sample: 74Nov 2022: 0.0%; sample: 47Dec 2022: 31.2%; sample: 64Jan 2023: 22.4%; sample: 582023Feb 2023: 5.6%; sample: 54Mar 2023: 15.4%; sample: 65Apr 2023: 16.7%; sample: 72May 2023: 16.0%; sample: 75Jun 2023: 21.6%; sample: 74Jul 2023: 39.5%; sample: 76Aug 2023: 22.7%; sample: 75Sep 2023: 20.5%; sample: 73Oct 2023: 26.3%; sample: 76Nov 2023: 32.9%; sample: 73Dec 2023: 39.7%; sample: 78Jan 2024: 41.1%; sample: 732024Feb 2024: 15.0%; sample: 60Mar 2024: 10.7%; sample: 75Apr 2024: 8.2%; sample: 73May 2024: 10.5%; sample: 76Jun 2024: 29.2%; sample: 72Jul 2024: 44.0%; sample: 75Aug 2024: 32.0%; sample: 75Sep 2024: 23.4%; sample: 64Oct 2024: 23.9%; sample: 71Nov 2024: 23.9%; sample: 46Dec 2024: 9.5%; sample: 74Jan 2025: 25.0%; sample: 522025Feb 2025: 18.2%; sample: 44Mar 2025: 0.0%; sample: 49Apr 2025: 9.8%; sample: 51May 2025: 11.3%; sample: 53Jun 2025: 26.1%; sample: 46Jul 2025: 20.9%; sample: 43Aug 2025: 17.8%; sample: 45Sep 2025: 42.2%; sample: 45Oct 2025: 37.7%; sample: 53Nov 2025: 14.9%; sample: 47Dec 2025: 7.7%; sample: 52Jan 2026: 26.9%; sample: 522026Feb 2026: 18.8%; sample: 48Mar 2026: 7.8%; sample: 51Apr 2026: 31.9%; sample: 47May 2026: 10.9%; sample: 46Jun 2026: 38.3%; sample: 47Pandemic 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 201820.8% of 72 movements
Feb 201818.2% of 66 movements
Mar 20189.7% of 72 movements
Apr 201812.0% of 75 movements
May 201814.7% of 75 movements
Jun 201816.7% of 72 movements
Jul 201821.3% of 75 movements
Aug 201814.3% of 77 movements
Sep 201815.5% of 71 movements
Oct 20182.7% of 75 movements
Nov 201811.4% of 70 movements
Dec 201823.9% of 71 movements
Jan 20198.2% of 73 movements
Feb 201910.9% of 64 movements
Mar 201914.5% of 69 movements
Apr 20198.3% of 72 movements
May 201916.9% of 77 movements
Jun 201936.1% of 72 movements
Jul 201933.3% of 75 movements
Aug 201923.4% of 77 movements
Sep 201937.5% of 72 movements
Oct 201929.6% of 71 movements
Nov 20192.9% of 68 movements
Dec 20198.1% of 74 movements
Jan 20205.4% of 74 movements
Feb 202035.4% of 65 movements
Mar 20208.5% of 71 movements
Apr 202034.6% of 52 movements
May 202010.7% of 75 movements
Jun 20201.7% of 60 movements
Jul 202017.7% of 62 movements
Aug 202037.1% of 62 movements
Sep 202022.4% of 58 movements
Oct 202016.3% of 49 movements — small sample, not ranked
Nov 202016.1% of 31 movements — small sample, not ranked
Dec 202031.9% of 72 movements
Jan 202134.7% of 49 movements — small sample, not ranked
Feb 202115.6% of 45 movements — small sample, not ranked
Mar 202110.0% of 40 movements — small sample, not ranked
Apr 202123.1% of 39 movements — small sample, not ranked
May 202126.8% of 41 movements — small sample, not ranked
Jun 202123.4% of 47 movements — small sample, not ranked
Jul 202147.2% of 53 movements
Aug 202139.4% of 71 movements
Sep 202116.2% of 68 movements
Oct 202121.1% of 71 movements
Nov 20214.5% of 44 movements — small sample, not ranked
Dec 202125.9% of 54 movements
Jan 202222.9% of 48 movements — small sample, not ranked
Feb 202227.5% of 40 movements — small sample, not ranked
Mar 202220.3% of 59 movements
Apr 202238.9% of 72 movements
May 202234.7% of 75 movements
Jun 202254.8% of 73 movements
Jul 202270.4% of 81 movements
Aug 202240.0% of 70 movements
Sep 202254.4% of 68 movements
Oct 202247.3% of 74 movements
Nov 2022no events in 47 movements — small sample, not ranked
Dec 202231.2% of 64 movements
Jan 202322.4% of 58 movements
Feb 20235.6% of 54 movements
Mar 202315.4% of 65 movements
Apr 202316.7% of 72 movements
May 202316.0% of 75 movements
Jun 202321.6% of 74 movements
Jul 202339.5% of 76 movements
Aug 202322.7% of 75 movements
Sep 202320.5% of 73 movements
Oct 202326.3% of 76 movements
Nov 202332.9% of 73 movements
Dec 202339.7% of 78 movements
Jan 202441.1% of 73 movements
Feb 202415.0% of 60 movements
Mar 202410.7% of 75 movements
Apr 20248.2% of 73 movements
May 202410.5% of 76 movements
Jun 202429.2% of 72 movements
Jul 202444.0% of 75 movements
Aug 202432.0% of 75 movements
Sep 202423.4% of 64 movements
Oct 202423.9% of 71 movements
Nov 202423.9% of 46 movements — small sample, not ranked
Dec 20249.5% of 74 movements
Jan 202525.0% of 52 movements
Feb 202518.2% of 44 movements — small sample, not ranked
Mar 2025no events in 49 movements — small sample, not ranked
Apr 20259.8% of 51 movements
May 202511.3% of 53 movements
Jun 202526.1% of 46 movements — small sample, not ranked
Jul 202520.9% of 43 movements — small sample, not ranked
Aug 202517.8% of 45 movements — small sample, not ranked
Sep 202542.2% of 45 movements — small sample, not ranked
Oct 202537.7% of 53 movements
Nov 202514.9% of 47 movements — small sample, not ranked
Dec 20257.7% of 52 movements
Jan 202626.9% of 52 movements
Feb 202618.8% of 48 movements — small sample, not ranked
Mar 20267.8% of 51 movements
Apr 202631.9% of 47 movements — small sample, not ranked
May 202610.9% of 46 movements — small sample, not ranked
Jun 202638.3% of 47 movements — small sample, not ranked

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 2020Arrivals1.7% of 60 movements22.1% across 846 flightsreturned the next month
Pandemic regime · Jun 2020Departures1.7% of 60 movements38.2% across 845 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals70.4% of 81 movements29.5% across 728 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures95.2% of 83 movements53.6% across 730 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals22.7% of 75 movements25.8% across 797 flightsreturned the next month
NATS system failure · Aug 2023Departures57.3% of 75 movements59.5% across 801 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivalsno events in 49 movements — small sample, not ranked21.5% across 797 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures8.2% of 49 movements — small sample, not ranked39.4% across 800 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, 36.4% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 10.7% across 7 Marchs.

Even July has ranged from 20.9% to 70.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20198.2% of 73 movements10.9% of 64 movements14.5% of 69 movements8.3% of 72 movements16.9% of 77 movements36.1% of 72 movements33.3% of 75 movements23.4% of 77 movements37.5% of 72 movements29.6% of 71 movements2.9% of 68 movements8.1% of 74 movements20205.4% of 74 movements35.4% of 65 movements8.5% of 71 movements34.6% of 52 movements10.7% of 75 movements1.7% of 60 movements17.7% of 62 movements37.1% of 62 movements22.4% of 58 movements16.3% of 49 movements †16.1% of 31 movements †31.9% of 72 movements202134.7% of 49 movements †15.6% of 45 movements †10.0% of 40 movements †23.1% of 39 movements †26.8% of 41 movements †23.4% of 47 movements †47.2% of 53 movements39.4% of 71 movements16.2% of 68 movements21.1% of 71 movements4.5% of 44 movements †25.9% of 54 movements202222.9% of 48 movements †27.5% of 40 movements †20.3% of 59 movements38.9% of 72 movements34.7% of 75 movements54.8% of 73 movements70.4% of 81 movements40.0% of 70 movements54.4% of 68 movements47.3% of 74 movementsno events in 47 movements †31.2% of 64 movements202322.4% of 58 movements5.6% of 54 movements15.4% of 65 movements16.7% of 72 movements16.0% of 75 movements21.6% of 74 movements39.5% of 76 movements22.7% of 75 movements20.5% of 73 movements26.3% of 76 movements32.9% of 73 movements39.7% of 78 movements202441.1% of 73 movements15.0% of 60 movements10.7% of 75 movements8.2% of 73 movements10.5% of 76 movements29.2% of 72 movements44.0% of 75 movements32.0% of 75 movements23.4% of 64 movements23.9% of 71 movements23.9% of 46 movements †9.5% of 74 movements202525.0% of 52 movements18.2% of 44 movements †no events in 49 movements †9.8% of 51 movements11.3% of 53 movements26.1% of 46 movements †20.9% of 43 movements †17.8% of 45 movements †42.2% of 45 movements †37.7% of 53 movements14.9% of 47 movements †7.7% of 52 movements202626.9% of 52 movements18.8% of 48 movements †7.8% of 51 movements31.9% of 47 movements †10.9% of 46 movements †38.3% of 47 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.9%8.2–41.1%7 months, 428 flights
Feb18.2%5.6–27.5%7 months, 376 flights
Mar10.7%0.0–20.3%7 months, 440 flights
Apr12.0%8.2–38.9%7 months, 462 flights
May14.7%10.5–34.7%7 months, 477 flights
Jun29.2%16.7–54.8%7 months, 456 flights
Jul36.4%20.9–70.4%6 months, 425 flights
Aug23.0%14.3–40.0%6 months, 419 flights
Sep30.5%15.5–54.4%6 months, 393 flights
Oct27.9%2.7–47.3%6 months, 420 flights
Nov13.2%0.0–32.9%6 months, 351 flights
Dec16.7%7.7–39.7%6 months, 413 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, 22.9% of 576 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 Air22.9% of 576 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Bulgaria Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Airlinesuppressed: 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
Ryanairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Unknownsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Air57622.9% of 576 movements0.2% of 576 movementsno events in 576 movementsdescriptive comparison
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, LGW had the lowest disruption share at 15.4% of 130 movements and EDI the highest at 51.1% of 135 movements. This route sits at 22.9% of 576 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 ↔ Sofia49.7% of 163 flightsBrs ↔ Sofia37.3% of 161 flightsEdi ↔ Sofia51.1% of 135 flightsLgw ↔ Sofia15.4% of 130 flightsLhr ↔ Sofia19.1% of 413 flightsLpl ↔ Sofia39.5% of 185 flightsMan ↔ Sofia †40.9% of 44 flightsStn ↔ Sofia21.4% of 903 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Sofia16349.7% of 163 movementsno events in 163 movements0.6% of 163 movementsdescriptive comparison
Boh ↔ Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Sofia16137.3% of 161 movementsno events in 161 movements0.6% of 161 movementsdescriptive comparison
Cwl ↔ Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Sofia13551.1% of 135 movementsno events in 135 movements0.7% of 135 movementsdescriptive comparison
Ema ↔ Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Sofia13015.4% of 130 movements1.5% of 130 movementsno events in 130 movementsdescriptive comparison
Lhr ↔ Sofia41319.1% of 413 movements0.2% of 413 movements0.2% of 413 movementsdescriptive comparison
Lpl ↔ Sofia18539.5% of 185 movementsno events in 185 movements1.1% of 185 movementsdescriptive comparison
Man ↔ Sofia4440.9% of 44 movements — small sample, not rankedno events in 44 movements — small sample, not rankedno events in 44 movements — small sample, not rankedsmall sample; not ranked
Ncl ↔ Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Sofia90321.4% of 903 movements0.1% of 903 movements0.1% of 903 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LTN ran 22.9% of 576 movements disrupted, departures 33.9% of 579 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 LTN22.9% of 576 movements0.2% of 576 movementsno events in 576 movements
Departures from LTN33.9% of 579 movements0.3% of 579 movementsno events in 579 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 202646 flights out of 6,41346 × £350 = £16,100
ArrivalsLast 72 months · Jul 2020–Jun 202643 flights out of 4,28143 × £350 = £15,050
DeparturesWhole archive · Jan 2018–Jun 202684 flights out of 6,42984 × £350 = £29,400
DeparturesLast 72 months · Jul 2020–Jun 202677 flights out of 4,29877 × £350 = £26,950
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 / countrySOFIA / BULGARIA
Final point codesSOF / LBSF
Great-circle distance2,050 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.58
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: 576; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

22.9% of 576 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 576 movements in the same window.

How many delays crossed three hours?

no events in 576 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?

2,050 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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