UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ BUCHAREST OTOPENI

In the twelve months from July 2025 to June 2026, 24.1% of 1,421 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, 75.9% of 1,421 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 158 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, 24.1% of 1,421 movements were disrupted and 0.2% of 1,421 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
24.1% of 1,421 movements0.2% of 1,421 movements32.2–65.0 min; N of delayed flights=339–6411,421
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 1,421 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 min23.9%30 min14.8%60 min6.7%120 min2.1%180 min0.6%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min23.9% of 1,421 movements3394.2
>30 min14.8% of 1,421 movements2106.8
>60 min6.7% of 1,421 movements9515.0
>120 min2.1% of 1,421 movements3047.4
>180 min0.6% of 1,421 movements9157.9
>360 min0.1% of 1,421 movements2710.5
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 early31121.9%15–1 early46632.8%0–15 late30221.3%16–301299.1%31–601158.1%61…120654.6%121…180211.5%181…36070.5%>36020.1%D=1,421
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0369; 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: Sep 2020, no events in 88 movements. Worst month: Jun 2022, 66.3% of 104 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: 28.8%; sample: 1182018Feb 2018: 16.7%; sample: 108Mar 2018: 32.8%; sample: 122Apr 2018: 18.4%; sample: 141May 2018: 19.2%; sample: 146Jun 2018: 31.4%; sample: 153Jul 2018: 34.3%; sample: 172Aug 2018: 30.5%; sample: 174Sep 2018: 27.2%; sample: 162Oct 2018: 21.9%; sample: 155Nov 2018: 14.8%; sample: 135Dec 2018: 27.8%; sample: 144Jan 2019: 23.9%; sample: 1422019Feb 2019: 14.9%; sample: 121Mar 2019: 19.0%; sample: 126Apr 2019: 16.3%; sample: 153May 2019: 23.6%; sample: 161Jun 2019: 38.0%; sample: 158Jul 2019: 54.6%; sample: 163Aug 2019: 51.8%; sample: 166Sep 2019: 38.0%; sample: 163Oct 2019: 33.8%; sample: 154Nov 2019: 10.5%; sample: 114Dec 2019: 10.9%; sample: 119Jan 2020: 7.6%; sample: 1192020Feb 2020: 35.7%; sample: 112Mar 2020: 3.8%; sample: 104Apr 2020: 53.6%; sample: 28May 2020: 86.8%; sample: 38Jun 2020: 90.3%; sample: 31Jul 2020: 19.8%; sample: 96Aug 2020: 1.7%; sample: 118Sep 2020: 0.0%; sample: 88Oct 2020: 6.7%; sample: 90Nov 2020: 10.9%; sample: 46Dec 2020: 43.9%; sample: 66Jan 2021: 40.4%; sample: 472021Feb 2021: 20.0%; sample: 35Mar 2021: 11.5%; sample: 26Apr 2021: 13.9%; sample: 36May 2021: 14.0%; sample: 50Jun 2021: 3.6%; sample: 56Jul 2021: 27.7%; sample: 65Aug 2021: 20.0%; sample: 105Sep 2021: 16.9%; sample: 89Oct 2021: 22.9%; sample: 83Nov 2021: 7.8%; sample: 64Dec 2021: 34.0%; sample: 100Jan 2022: 20.5%; sample: 782022Feb 2022: 16.9%; sample: 59Mar 2022: 15.2%; sample: 79Apr 2022: 43.7%; sample: 103May 2022: 34.0%; sample: 106Jun 2022: 66.3%; sample: 104Jul 2022: 52.7%; sample: 112Aug 2022: 47.5%; sample: 101Sep 2022: 61.4%; sample: 101Oct 2022: 57.9%; sample: 126Nov 2022: 17.0%; sample: 94Dec 2022: 34.5%; sample: 116Jan 2023: 33.3%; sample: 1142023Feb 2023: 17.0%; sample: 94Mar 2023: 19.3%; sample: 119Apr 2023: 36.9%; sample: 111May 2023: 31.3%; sample: 115Jun 2023: 51.4%; sample: 107Jul 2023: 48.7%; sample: 115Aug 2023: 43.6%; sample: 117Sep 2023: 26.1%; sample: 111Oct 2023: 35.3%; sample: 116Nov 2023: 30.7%; sample: 101Dec 2023: 29.6%; sample: 125Jan 2024: 42.1%; sample: 1142024Feb 2024: 17.3%; sample: 98Mar 2024: 16.7%; sample: 108Apr 2024: 11.8%; sample: 102May 2024: 19.4%; sample: 108Jun 2024: 58.3%; sample: 103Jul 2024: 65.4%; sample: 104Aug 2024: 50.9%; sample: 106Sep 2024: 40.8%; sample: 103Oct 2024: 33.3%; sample: 105Nov 2024: 11.0%; sample: 100Dec 2024: 7.1%; sample: 112Jan 2025: 22.5%; sample: 1112025Feb 2025: 20.8%; sample: 96Mar 2025: 8.2%; sample: 110Apr 2025: 11.8%; sample: 110May 2025: 17.1%; sample: 111Jun 2025: 25.2%; sample: 107Jul 2025: 25.0%; sample: 116Aug 2025: 44.0%; sample: 116Sep 2025: 41.3%; sample: 109Oct 2025: 39.1%; sample: 115Nov 2025: 8.4%; sample: 131Dec 2025: 12.3%; sample: 138Jan 2026: 31.5%; sample: 1302026Feb 2026: 30.2%; sample: 116Mar 2026: 11.3%; sample: 115Apr 2026: 20.0%; sample: 120May 2026: 10.1%; sample: 109Jun 2026: 18.9%; sample: 106Pandemic 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 201828.8% of 118 movements
Feb 201816.7% of 108 movements
Mar 201832.8% of 122 movements
Apr 201818.4% of 141 movements
May 201819.2% of 146 movements
Jun 201831.4% of 153 movements
Jul 201834.3% of 172 movements
Aug 201830.5% of 174 movements
Sep 201827.2% of 162 movements
Oct 201821.9% of 155 movements
Nov 201814.8% of 135 movements
Dec 201827.8% of 144 movements
Jan 201923.9% of 142 movements
Feb 201914.9% of 121 movements
Mar 201919.0% of 126 movements
Apr 201916.3% of 153 movements
May 201923.6% of 161 movements
Jun 201938.0% of 158 movements
Jul 201954.6% of 163 movements
Aug 201951.8% of 166 movements
Sep 201938.0% of 163 movements
Oct 201933.8% of 154 movements
Nov 201910.5% of 114 movements
Dec 201910.9% of 119 movements
Jan 20207.6% of 119 movements
Feb 202035.7% of 112 movements
Mar 20203.8% of 104 movements
Apr 202053.6% of 28 movements — small sample, not ranked
May 202086.8% of 38 movements — small sample, not ranked
Jun 202090.3% of 31 movements — small sample, not ranked
Jul 202019.8% of 96 movements
Aug 20201.7% of 118 movements
Sep 2020no events in 88 movements
Oct 20206.7% of 90 movements
Nov 202010.9% of 46 movements — small sample, not ranked
Dec 202043.9% of 66 movements
Jan 202140.4% of 47 movements — small sample, not ranked
Feb 202120.0% of 35 movements — small sample, not ranked
Mar 202111.5% of 26 movements — small sample, not ranked
Apr 202113.9% of 36 movements — small sample, not ranked
May 202114.0% of 50 movements
Jun 20213.6% of 56 movements
Jul 202127.7% of 65 movements
Aug 202120.0% of 105 movements
Sep 202116.9% of 89 movements
Oct 202122.9% of 83 movements
Nov 20217.8% of 64 movements
Dec 202134.0% of 100 movements
Jan 202220.5% of 78 movements
Feb 202216.9% of 59 movements
Mar 202215.2% of 79 movements
Apr 202243.7% of 103 movements
May 202234.0% of 106 movements
Jun 202266.3% of 104 movements
Jul 202252.7% of 112 movements
Aug 202247.5% of 101 movements
Sep 202261.4% of 101 movements
Oct 202257.9% of 126 movements
Nov 202217.0% of 94 movements
Dec 202234.5% of 116 movements
Jan 202333.3% of 114 movements
Feb 202317.0% of 94 movements
Mar 202319.3% of 119 movements
Apr 202336.9% of 111 movements
May 202331.3% of 115 movements
Jun 202351.4% of 107 movements
Jul 202348.7% of 115 movements
Aug 202343.6% of 117 movements
Sep 202326.1% of 111 movements
Oct 202335.3% of 116 movements
Nov 202330.7% of 101 movements
Dec 202329.6% of 125 movements
Jan 202442.1% of 114 movements
Feb 202417.3% of 98 movements
Mar 202416.7% of 108 movements
Apr 202411.8% of 102 movements
May 202419.4% of 108 movements
Jun 202458.3% of 103 movements
Jul 202465.4% of 104 movements
Aug 202450.9% of 106 movements
Sep 202440.8% of 103 movements
Oct 202433.3% of 105 movements
Nov 202411.0% of 100 movements
Dec 20247.1% of 112 movements
Jan 202522.5% of 111 movements
Feb 202520.8% of 96 movements
Mar 20258.2% of 110 movements
Apr 202511.8% of 110 movements
May 202517.1% of 111 movements
Jun 202525.2% of 107 movements
Jul 202525.0% of 116 movements
Aug 202544.0% of 116 movements
Sep 202541.3% of 109 movements
Oct 202539.1% of 115 movements
Nov 20258.4% of 131 movements
Dec 202512.3% of 138 movements
Jan 202631.5% of 130 movements
Feb 202630.2% of 116 movements
Mar 202611.3% of 115 movements
Apr 202620.0% of 120 movements
May 202610.1% of 109 movements
Jun 202618.9% of 106 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 2020Arrivals90.3% of 31 movements — small sample, not ranked35.4% across 1,438 flightsreturned the next month
Pandemic regime · Jun 2020Departures96.7% of 30 movements — small sample, not ranked47.6% across 1,432 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals52.7% of 112 movements27.2% across 1,035 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures90.4% of 114 movements47.1% across 1,039 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals43.6% of 117 movements38.0% across 1,313 flightsreturned the next month
NATS system failure · Aug 2023Departures60.8% of 120 movements62.4% across 1,316 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals8.2% of 110 movements29.8% across 1,258 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures20.2% of 109 movements45.7% across 1,262 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, 50.7% of arrivals were disrupted, measured across 6 Julys in the archive. November has been the calmest, at 12.9% across 6 Novembers.

Even July has ranged from 25.0% to 65.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201923.9% of 142 movements14.9% of 121 movements19.0% of 126 movements16.3% of 153 movements23.6% of 161 movements38.0% of 158 movements54.6% of 163 movements51.8% of 166 movements38.0% of 163 movements33.8% of 154 movements10.5% of 114 movements10.9% of 119 movements20207.6% of 119 movements35.7% of 112 movements3.8% of 104 movements53.6% of 28 movements †86.8% of 38 movements †90.3% of 31 movements †19.8% of 96 movements1.7% of 118 movementsno events in 88 movements6.7% of 90 movements10.9% of 46 movements †43.9% of 66 movements202140.4% of 47 movements †20.0% of 35 movements †11.5% of 26 movements †13.9% of 36 movements †14.0% of 50 movements3.6% of 56 movements27.7% of 65 movements20.0% of 105 movements16.9% of 89 movements22.9% of 83 movements7.8% of 64 movements34.0% of 100 movements202220.5% of 78 movements16.9% of 59 movements15.2% of 79 movements43.7% of 103 movements34.0% of 106 movements66.3% of 104 movements52.7% of 112 movements47.5% of 101 movements61.4% of 101 movements57.9% of 126 movements17.0% of 94 movements34.5% of 116 movements202333.3% of 114 movements17.0% of 94 movements19.3% of 119 movements36.9% of 111 movements31.3% of 115 movements51.4% of 107 movements48.7% of 115 movements43.6% of 117 movements26.1% of 111 movements35.3% of 116 movements30.7% of 101 movements29.6% of 125 movements202442.1% of 114 movements17.3% of 98 movements16.7% of 108 movements11.8% of 102 movements19.4% of 108 movements58.3% of 103 movements65.4% of 104 movements50.9% of 106 movements40.8% of 103 movements33.3% of 105 movements11.0% of 100 movements7.1% of 112 movements202522.5% of 111 movements20.8% of 96 movements8.2% of 110 movements11.8% of 110 movements17.1% of 111 movements25.2% of 107 movements25.0% of 116 movements44.0% of 116 movements41.3% of 109 movements39.1% of 115 movements8.4% of 131 movements12.3% of 138 movements202631.5% of 130 movements30.2% of 116 movements11.3% of 115 movements20.0% of 120 movements10.1% of 109 movements18.9% of 106 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan28.8%20.5–42.1%7 months, 807 flights
Feb17.0%14.9–30.2%7 months, 692 flights
Mar16.7%8.2–32.8%7 months, 779 flights
Apr18.4%11.8–43.7%7 months, 840 flights
May19.4%10.1–34.0%7 months, 856 flights
Jun38.0%18.9–66.3%7 months, 838 flights
Jul50.7%25.0–65.4%6 months, 782 flights
Aug45.7%30.5–51.8%6 months, 780 flights
Sep39.4%26.1–61.4%6 months, 749 flights
Oct34.6%21.9–57.9%6 months, 771 flights
Nov12.9%8.4–30.7%6 months, 675 flights
Dec20.0%7.1–34.5%6 months, 754 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 Malta, 23.9% of 1,397 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 Air Malta23.9% of 1,397 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Blue Air Transport Aeriansuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Dan Air (Aoc) S.R.Lsuppressed: 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
Vistajet Maltasuppressed: 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
Wizz Air Malta1,39723.9% of 1,397 movements0.2% of 1,397 movements0.6% of 1,397 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, LPL had the lowest disruption share at 16.8% of 143 movements and LGW the highest at 52.4% of 21 movements — small sample, not ranked. This route sits at 24.1% of 1,421 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 ↔ Bucharest-Otopeni31.2% of 574 flightsBrs ↔ Bucharest-Otopeni34.6% of 205 flightsEdi ↔ Bucharest-Otopeni45.5% of 143 flightsLba ↔ Bucharest-Otopeni25.7% of 296 flightsLgw ↔ Bucharest-Otopeni †52.4% of 21 flightsLhr ↔ Bucharest-Otopeni23.3% of 765 flightsLpl ↔ Bucharest-Otopeni16.8% of 143 flightsMan ↔ Bucharest-Otopeni36.4% of 209 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Bucharest-Otopenisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Bucharest-Otopenisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Bucharest-Otopenisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Bucharest-Otopeni57431.2% of 574 movementsno events in 574 movements1.2% of 574 movementsdescriptive comparison
Boh ↔ Bucharest-Otopenisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Bucharest-Otopeni20534.6% of 205 movements0.5% of 205 movements1.0% of 205 movementsdescriptive comparison
Cwl ↔ Bucharest-Otopenisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Bucharest-Otopenisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Bucharest-Otopeni14345.5% of 143 movements0.7% of 143 movements0.7% of 143 movementsdescriptive comparison
Ema ↔ Bucharest-Otopenisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Bucharest-Otopenisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Bucharest-Otopeni29625.7% of 296 movements0.7% of 296 movements2.4% of 296 movementsdescriptive comparison
Lcy ↔ Bucharest-Otopenisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Bucharest-Otopeni2152.4% of 21 movements — small sample, not rankedno events in 21 movements — small sample, not rankedno events in 21 movements — small sample, not rankedsmall sample; not ranked
Lhr ↔ Bucharest-Otopeni76523.3% of 765 movements0.5% of 765 movements0.4% of 765 movementsdescriptive comparison
Lpl ↔ Bucharest-Otopeni14316.8% of 143 movementsno events in 143 movementsno events in 143 movementsdescriptive comparison
Man ↔ Bucharest-Otopeni20936.4% of 209 movements0.5% of 209 movements1.0% of 209 movementsdescriptive comparison
Mme ↔ Bucharest-Otopenisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Bucharest-Otopenisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Bucharest-Otopenisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Bucharest-Otopeni1,32827.1% of 1,328 movements0.9% of 1,328 movements0.6% of 1,328 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LTN ran 24.1% of 1,421 movements disrupted, departures 35.5% of 1,422 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 LTN24.1% of 1,421 movements0.2% of 1,421 movements0.6% of 1,421 movements
Departures from LTN35.5% of 1,422 movements0.4% of 1,422 movements0.6% of 1,422 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 202694 flights out of 11,01594 × £350 = £32,900
ArrivalsLast 72 months · Jul 2020–Jun 202668 flights out of 7,11368 × £350 = £23,800
DeparturesWhole archive · Jan 2018–Jun 2026153 flights out of 11,013153 × £350 = £53,550
DeparturesLast 72 months · Jul 2020–Jun 2026116 flights out of 7,133116 × £350 = £40,600
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 / countryBUCHAREST (OTOPENI) / ROMANIA
Final point codesOTP / LROP
Great-circle distance2,108 km
Maximum statutory amount for the band£350
Average operated arrivals per day3.88
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: 1,421; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

24.1% of 1,421 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 1,421 movements in the same window.

How many delays crossed three hours?

0.6% of 1,421 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?

2,108 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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