UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ PARIS CHARLES DE GAULLE

In the twelve months from July 2025 to June 2026, 35.4% of 1,133 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, 64.6% of 1,133 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 103 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, 35.4% of 1,133 movements were disrupted and 0.5% of 1,133 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
35.4% of 1,133 movements0.5% of 1,133 movements29.1–55.0 min; N of delayed flights=395–7071,133
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: 0.5% of 1,133 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 min34.9%30 min20.0%60 min7.9%120 min1.9%180 min1.0%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min34.9% of 1,133 movements3952.9
>30 min20.0% of 1,133 movements2275.0
>60 min7.9% of 1,133 movements9012.6
>120 min1.9% of 1,133 movements2251.5
>180 min1.0% of 1,133 movements11103.0
>360 min0.1% of 1,133 movements11,133.0
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 early766.7%15–1 early34430.4%0–15 late31227.5%16–3016814.8%31–6013712.1%61…120686.0%121…180111.0%181…360100.9%>36010.1%D=1,133
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0361; 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 2025, 15.3% of 118 movements. Worst month: Jun 2023, 67.4% of 92 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: 28.2%; sample: 782018Feb 2018: 47.6%; sample: 84Mar 2018: 31.1%; sample: 90Apr 2018: 22.8%; sample: 92May 2018: 27.7%; sample: 94Jun 2018: 41.4%; sample: 87Jul 2018: 42.7%; sample: 75Aug 2018: 32.4%; sample: 74Sep 2018: 18.0%; sample: 89Oct 2018: 31.2%; sample: 93Nov 2018: 34.2%; sample: 79Dec 2018: 45.6%; sample: 90Jan 2019: 31.2%; sample: 802019Feb 2019: 36.8%; sample: 87Mar 2019: 39.8%; sample: 88Apr 2019: 26.4%; sample: 91May 2019: 24.2%; sample: 95Jun 2019: 36.5%; sample: 85Jul 2019: 34.2%; sample: 73Aug 2019: 31.1%; sample: 74Sep 2019: 28.3%; sample: 92Oct 2019: 31.8%; sample: 88Nov 2019: 21.5%; sample: 79Dec 2019: 53.9%; sample: 89Jan 2020: 26.9%; sample: 782020Feb 2020: 42.5%; sample: 80Mar 2020: 29.5%; sample: 61Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: 6.8%; sample: 44Sep 2020: suppressed: fewer than twenty movements×Oct 2020: suppressed: fewer than twenty movements×Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: no data×May 2021: no data×Jun 2021: no data×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: suppressed: fewer than twenty movements×Oct 2021: 43.8%; sample: 32Nov 2021: 27.6%; sample: 29Dec 2021: 16.3%; sample: 49Jan 2022: suppressed: fewer than twenty movements×2022Feb 2022: 24.1%; sample: 54Mar 2022: 20.7%; sample: 82Apr 2022: 29.3%; sample: 75May 2022: 26.6%; sample: 79Jun 2022: 42.4%; sample: 92Jul 2022: 56.7%; sample: 67Aug 2022: 27.9%; sample: 68Sep 2022: 52.5%; sample: 99Oct 2022: 42.2%; sample: 109Nov 2022: 24.6%; sample: 69Dec 2022: 62.8%; sample: 78Jan 2023: 36.1%; sample: 722023Feb 2023: 25.9%; sample: 85Mar 2023: 39.4%; sample: 94Apr 2023: 60.0%; sample: 90May 2023: 61.1%; sample: 95Jun 2023: 67.4%; sample: 92Jul 2023: 59.5%; sample: 84Aug 2023: 53.7%; sample: 82Sep 2023: 45.2%; sample: 93Oct 2023: 51.0%; sample: 100Nov 2023: 27.9%; sample: 111Dec 2023: 52.0%; sample: 123Jan 2024: 52.0%; sample: 752024Feb 2024: 36.4%; sample: 99Mar 2024: 32.7%; sample: 113Apr 2024: 45.1%; sample: 91May 2024: 51.5%; sample: 101Jun 2024: 48.6%; sample: 109Jul 2024: 48.5%; sample: 99Aug 2024: 32.0%; sample: 103Sep 2024: 44.4%; sample: 108Oct 2024: 42.2%; sample: 109Nov 2024: 25.8%; sample: 97Dec 2024: 37.4%; sample: 123Jan 2025: 38.8%; sample: 852025Feb 2025: 21.8%; sample: 101Mar 2025: 15.3%; sample: 118Apr 2025: 25.2%; sample: 107May 2025: 35.3%; sample: 102Jun 2025: 30.8%; sample: 104Jul 2025: 50.0%; sample: 100Aug 2025: 52.0%; sample: 100Sep 2025: 43.6%; sample: 94Oct 2025: 50.0%; sample: 96Nov 2025: 31.8%; sample: 85Dec 2025: 33.6%; sample: 110Jan 2026: 22.9%; sample: 832026Feb 2026: 23.9%; sample: 88Mar 2026: 22.7%; sample: 97Apr 2026: 24.5%; sample: 94May 2026: 24.7%; sample: 97Jun 2026: 41.6%; sample: 89Pandemic 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 201828.2% of 78 movements
Feb 201847.6% of 84 movements
Mar 201831.1% of 90 movements
Apr 201822.8% of 92 movements
May 201827.7% of 94 movements
Jun 201841.4% of 87 movements
Jul 201842.7% of 75 movements
Aug 201832.4% of 74 movements
Sep 201818.0% of 89 movements
Oct 201831.2% of 93 movements
Nov 201834.2% of 79 movements
Dec 201845.6% of 90 movements
Jan 201931.2% of 80 movements
Feb 201936.8% of 87 movements
Mar 201939.8% of 88 movements
Apr 201926.4% of 91 movements
May 201924.2% of 95 movements
Jun 201936.5% of 85 movements
Jul 201934.2% of 73 movements
Aug 201931.1% of 74 movements
Sep 201928.3% of 92 movements
Oct 201931.8% of 88 movements
Nov 201921.5% of 79 movements
Dec 201953.9% of 89 movements
Jan 202026.9% of 78 movements
Feb 202042.5% of 80 movements
Mar 202029.5% of 61 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 20206.8% of 44 movements — small sample, not ranked
Sep 2020suppressed: fewer than twenty movements
Oct 2020suppressed: fewer than twenty movements
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021no data
May 2021no data
Jun 2021no data
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 2021suppressed: fewer than twenty movements
Oct 202143.8% of 32 movements — small sample, not ranked
Nov 202127.6% of 29 movements — small sample, not ranked
Dec 202116.3% of 49 movements — small sample, not ranked
Jan 2022suppressed: fewer than twenty movements
Feb 202224.1% of 54 movements
Mar 202220.7% of 82 movements
Apr 202229.3% of 75 movements
May 202226.6% of 79 movements
Jun 202242.4% of 92 movements
Jul 202256.7% of 67 movements
Aug 202227.9% of 68 movements
Sep 202252.5% of 99 movements
Oct 202242.2% of 109 movements
Nov 202224.6% of 69 movements
Dec 202262.8% of 78 movements
Jan 202336.1% of 72 movements
Feb 202325.9% of 85 movements
Mar 202339.4% of 94 movements
Apr 202360.0% of 90 movements
May 202361.1% of 95 movements
Jun 202367.4% of 92 movements
Jul 202359.5% of 84 movements
Aug 202353.7% of 82 movements
Sep 202345.2% of 93 movements
Oct 202351.0% of 100 movements
Nov 202327.9% of 111 movements
Dec 202352.0% of 123 movements
Jan 202452.0% of 75 movements
Feb 202436.4% of 99 movements
Mar 202432.7% of 113 movements
Apr 202445.1% of 91 movements
May 202451.5% of 101 movements
Jun 202448.6% of 109 movements
Jul 202448.5% of 99 movements
Aug 202432.0% of 103 movements
Sep 202444.4% of 108 movements
Oct 202442.2% of 109 movements
Nov 202425.8% of 97 movements
Dec 202437.4% of 123 movements
Jan 202538.8% of 85 movements
Feb 202521.8% of 101 movements
Mar 202515.3% of 118 movements
Apr 202525.2% of 107 movements
May 202535.3% of 102 movements
Jun 202530.8% of 104 movements
Jul 202550.0% of 100 movements
Aug 202552.0% of 100 movements
Sep 202543.6% of 94 movements
Oct 202550.0% of 96 movements
Nov 202531.8% of 85 movements
Dec 202533.6% of 110 movements
Jan 202622.9% of 83 movements
Feb 202623.9% of 88 movements
Mar 202622.7% of 97 movements
Apr 202624.5% of 94 movements
May 202624.7% of 97 movements
Jun 202641.6% of 89 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 2022Arrivals56.7% of 67 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures48.5% of 68 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals53.7% of 82 movements46.6% across 1,035 flightsreturned the next month
NATS system failure · Aug 2023Departures36.6% of 82 movements37.6% across 1,038 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals15.3% of 118 movements39.1% across 1,239 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.6% of 118 movements25.6% across 1,240 flightsreturned the next month
Definitions, denominators and limits

The baseline is the unweighted mean share over the twelve preceding calendar months. The return window is the following eight months, up to the end of the archive. Return means the first observed value at or below the baseline; it is not the duration of the disruption itself. If the event month is already below the baseline, counting still starts the month after. Gaps and suppressed cells are not treated as zeros or as recovery.

Which time of year has historically been hardest?

July has historically been the hardest month on this route: in a typical July, 49.2% of arrivals were disrupted, measured across 6 Julys in the archive. February has been the calmest, at 25.9% across 7 Februarys.

Even July has ranged from 34.2% to 59.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201931.2% of 80 movements36.8% of 87 movements39.8% of 88 movements26.4% of 91 movements24.2% of 95 movements36.5% of 85 movements34.2% of 73 movements31.1% of 74 movements28.3% of 92 movements31.8% of 88 movements21.5% of 79 movements53.9% of 89 movements202026.9% of 78 movements42.5% of 80 movements29.5% of 61 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements6.8% of 44 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements43.8% of 32 movements †27.6% of 29 movements †16.3% of 49 movements †2022suppressed: fewer than twenty movements24.1% of 54 movements20.7% of 82 movements29.3% of 75 movements26.6% of 79 movements42.4% of 92 movements56.7% of 67 movements27.9% of 68 movements52.5% of 99 movements42.2% of 109 movements24.6% of 69 movements62.8% of 78 movements202336.1% of 72 movements25.9% of 85 movements39.4% of 94 movements60.0% of 90 movements61.1% of 95 movements67.4% of 92 movements59.5% of 84 movements53.7% of 82 movements45.2% of 93 movements51.0% of 100 movements27.9% of 111 movements52.0% of 123 movements202452.0% of 75 movements36.4% of 99 movements32.7% of 113 movements45.1% of 91 movements51.5% of 101 movements48.6% of 109 movements48.5% of 99 movements32.0% of 103 movements44.4% of 108 movements42.2% of 109 movements25.8% of 97 movements37.4% of 123 movements202538.8% of 85 movements21.8% of 101 movements15.3% of 118 movements25.2% of 107 movements35.3% of 102 movements30.8% of 104 movements50.0% of 100 movements52.0% of 100 movements43.6% of 94 movements50.0% of 96 movements31.8% of 85 movements33.6% of 110 movements202622.9% of 83 movements23.9% of 88 movements22.7% of 97 movements24.5% of 94 movements24.7% of 97 movements41.6% of 89 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan33.7%22.9–52.0%6 months, 473 flights
Feb25.9%21.8–47.6%7 months, 598 flights
Mar31.1%15.3–39.8%7 months, 682 flights
Apr26.4%22.8–60.0%7 months, 640 flights
May27.7%24.2–61.1%7 months, 663 flights
Jun41.6%30.8–67.4%7 months, 658 flights
Jul49.2%34.2–59.5%6 months, 498 flights
Aug32.2%27.9–53.7%6 months, 501 flights
Sep44.0%18.0–52.5%6 months, 575 flights
Oct42.2%31.2–51.0%6 months, 595 flights
Nov26.9%21.5–34.2%6 months, 520 flights
Dec48.8%33.6–62.8%6 months, 613 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: Easyjet Europe 31.8% of 22 movements — small sample, not ranked, Easyjet Uk 35.5% of 1,111 movements. Not enough comparable carriers.

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 optionEasyjet Europe †31.8% of 22 flightsEasyjet Uk35.5% of 1,111 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Europe2231.8% of 22 movements — small sample, not ranked4.5% of 22 movements — small sample, not rankedno events in 22 movements — small sample, not rankedsmall sample; not ranked
Easyjet Uk1,11135.5% of 1,111 movements0.5% of 1,111 movements1.0% of 1,111 movementsdescriptive comparison
Efs European Flight Service Absuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
El Alsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mng 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
Vistajet 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, ABZ had the lowest disruption share at 15.6% of 64 movements and MAN the highest at 46.9% of 2,780 movements. This route sits at 35.4% of 1,133 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 optionAbz ↔ Paris-Charles-De-Gaulle15.6% of 64 flightsBfs ↔ Paris-Charles-De-Gaulle26.0% of 407 flightsBhx ↔ Paris-Charles-De-Gaulle28.9% of 1,631 flightsBrs ↔ Paris-Charles-De-Gaulle32.6% of 965 flightsEdi ↔ Paris-Charles-De-Gaulle35.0% of 1,859 flightsGla ↔ Paris-Charles-De-Gaulle37.8% of 683 flightsJer ↔ Paris-Charles-De-Gaulle22.0% of 50 flightsLba ↔ Paris-Charles-De-Gaulle40.3% of 278 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Paris-Charles-De-Gaulle6415.6% of 64 movementsno events in 64 movementsno events in 64 movementsdescriptive comparison
Bfs ↔ Paris-Charles-De-Gaulle40726.0% of 407 movements0.7% of 407 movementsno events in 407 movementsdescriptive comparison
Bhd ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Paris-Charles-De-Gaulle1,63128.9% of 1,631 movements1.5% of 1,631 movements0.3% of 1,631 movementsdescriptive comparison
Brs ↔ Paris-Charles-De-Gaulle96532.6% of 965 movements1.9% of 965 movements0.3% of 965 movementsdescriptive comparison
Cwl ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Paris-Charles-De-Gaulle1,85935.0% of 1,859 movements1.0% of 1,859 movements0.6% of 1,859 movementsdescriptive comparison
Ema ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Paris-Charles-De-Gaulle68337.8% of 683 movements1.2% of 683 movements0.1% of 683 movementsdescriptive comparison
Iom ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Paris-Charles-De-Gaulle5022.0% of 50 movementsno events in 50 movements2.0% of 50 movementsdescriptive comparison
Lba ↔ Paris-Charles-De-Gaulle27840.3% of 278 movementsno events in 278 movements0.7% of 278 movementsdescriptive comparison
Lcy ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Paris-Charles-De-Gaulle1,64134.0% of 1,641 movements2.2% of 1,641 movements0.5% of 1,641 movementsdescriptive comparison
Lhr ↔ Paris-Charles-De-Gaulle4,78525.3% of 4,785 movements1.9% of 4,785 movements0.1% of 4,785 movementsdescriptive comparison
Lpl ↔ Paris-Charles-De-Gaulle27324.2% of 273 movements1.8% of 273 movements0.4% of 273 movementsdescriptive comparison
Man ↔ Paris-Charles-De-Gaulle2,78046.9% of 2,780 movements1.3% of 2,780 movements0.6% of 2,780 movementsdescriptive comparison
Ncl ↔ Paris-Charles-De-Gaulle1,04328.7% of 1,043 movements1.0% of 1,043 movements0.3% of 1,043 movementsdescriptive comparison
Sen ↔ Paris-Charles-De-Gaulle21421.0% of 214 movements0.5% of 214 movements0.5% of 214 movementsdescriptive comparison
Sou ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Paris-Charles-De-Gaulle3444.1% of 34 movements — small sample, not rankedno events in 34 movements — small sample, not rankedno events in 34 movements — small sample, not rankedsmall sample; not ranked

Does the direction you are flying change anything?

Yes: arrivals into LTN ran 35.4% of 1,133 movements disrupted, departures 27.5% of 1,134 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 LTN35.4% of 1,133 movements0.5% of 1,133 movements1.0% of 1,133 movements
Departures from LTN27.5% of 1,134 movements0.8% of 1,134 movements0.4% of 1,134 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 202640 flights out of 7,44440 × £220 = £8,800
ArrivalsLast 72 months · Jul 2020–Jun 202633 flights out of 5,17933 × £220 = £7,260
DeparturesWhole archive · Jan 2018–Jun 202617 flights out of 7,42617 × £220 = £3,740
DeparturesLast 72 months · Jul 2020–Jun 202614 flights out of 5,18314 × £220 = £3,080
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 / countryPARIS (CHARLES DE GAULLE) / FRANCE
Final point codesCDG / LFPG
Great-circle distance380 km
Maximum statutory amount for the band£220
Average operated arrivals per day3.09
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 archive91

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: 1,133; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

35.4% of 1,133 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.5% of 1,133 movements in the same window.

How many delays crossed three hours?

1.0% of 1,133 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?

380 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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