UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ TEL AVIV

In the twelve months from July 2025 to June 2026, 42.0% of 789 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, 58.0% of 789 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 113 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, 42.0% of 789 movements were disrupted and 1.9% of 789 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
42.0% of 789 movements1.9% of 789 movements29.7–53.9 min; N of delayed flights=316–548789
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: 1.9% of 789 movements. “One in N” means how many arrivals you would typically see between events at that level.

Gate: at least thirty operations in each of the last three months.

Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 minsuppressed: route gate not metsuppressedsuppressed
>30 minsuppressed: route gate not metsuppressedsuppressed
>60 minsuppressed: route gate not metsuppressedsuppressed
>120 minsuppressed: route gate not metsuppressedsuppressed
>180 minsuppressed: route gate not metsuppressedsuppressed
>360 minsuppressed: route gate not metsuppressedsuppressed
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 early536.7%15–1 early17321.9%0–15 late23229.4%16–3014518.4%31–609812.4%61…120577.2%121…18091.1%181…36070.9%>36000.0%D=789
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0288; 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: Nov 2018, 19.0% of 100 movements. Worst month: Sep 2022, 72.0% of 100 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: 46.8%; sample: 942018Feb 2018: 30.1%; sample: 83Mar 2018: 47.7%; sample: 111Apr 2018: 49.6%; sample: 125May 2018: 56.8%; sample: 125Jun 2018: 50.8%; sample: 128Jul 2018: 52.9%; sample: 157Aug 2018: 42.0%; sample: 157Sep 2018: 49.2%; sample: 118Oct 2018: 40.8%; sample: 125Nov 2018: 19.0%; sample: 100Dec 2018: 43.7%; sample: 103Jan 2019: 34.7%; sample: 1012019Feb 2019: 27.5%; sample: 91Mar 2019: 29.2%; sample: 106Apr 2019: 45.2%; sample: 135May 2019: 37.9%; sample: 132Jun 2019: 53.1%; sample: 128Jul 2019: 61.7%; sample: 149Aug 2019: 59.1%; sample: 149Sep 2019: 43.1%; sample: 130Oct 2019: 44.0%; sample: 116Nov 2019: 22.2%; sample: 99Dec 2019: 45.5%; sample: 99Jan 2020: 37.1%; sample: 972020Feb 2020: 47.3%; sample: 93Mar 2020: 44.6%; sample: 56Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 21.9%; sample: 32Aug 2020: suppressed: fewer than twenty movements×Sep 2020: 34.8%; sample: 23Oct 2020: 40.0%; sample: 30Nov 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: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: 56.0%; sample: 25Aug 2021: 23.8%; sample: 21Sep 2021: 33.3%; sample: 24Oct 2021: 30.0%; sample: 30Nov 2021: 21.1%; sample: 38Dec 2021: 28.6%; sample: 42Jan 2022: suppressed: fewer than twenty movements×2022Feb 2022: 63.6%; sample: 33Mar 2022: 67.9%; sample: 56Apr 2022: 71.8%; sample: 117May 2022: 71.4%; sample: 112Jun 2022: 70.0%; sample: 100Jul 2022: 70.2%; sample: 94Aug 2022: 56.6%; sample: 106Sep 2022: 72.0%; sample: 100Oct 2022: 62.1%; sample: 95Nov 2022: 35.4%; sample: 96Dec 2022: 63.0%; sample: 108Jan 2023: 23.3%; sample: 902023Feb 2023: 46.7%; sample: 90Mar 2023: 60.9%; sample: 110Apr 2023: 49.6%; sample: 117May 2023: 45.8%; sample: 131Jun 2023: 65.3%; sample: 121Jul 2023: 57.5%; sample: 106Aug 2023: 44.6%; sample: 112Sep 2023: 48.1%; sample: 108Oct 2023: 60.0%; sample: 80Nov 2023: suppressed: fewer than twenty movements×Dec 2023: 33.3%; sample: 36Jan 2024: 41.7%; sample: 242024Feb 2024: 12.0%; sample: 25Mar 2024: 10.0%; sample: 40Apr 2024: 43.1%; sample: 65May 2024: 28.8%; sample: 66Jun 2024: 40.0%; sample: 65Jul 2024: 45.5%; sample: 77Aug 2024: 38.4%; sample: 73Sep 2024: 51.9%; sample: 77Oct 2024: 44.2%; sample: 43Nov 2024: 42.3%; sample: 52Dec 2024: 40.5%; sample: 84Jan 2025: 37.9%; sample: 952025Feb 2025: 41.7%; sample: 84Mar 2025: 29.8%; sample: 94Apr 2025: 33.1%; sample: 118May 2025: 36.8%; sample: 95Jun 2025: 41.8%; sample: 55Jul 2025: 27.3%; sample: 77Aug 2025: 39.5%; sample: 81Sep 2025: 44.7%; sample: 94Oct 2025: 50.6%; sample: 89Nov 2025: 40.6%; sample: 69Dec 2025: 50.6%; sample: 77Jan 2026: 37.3%; sample: 592026Feb 2026: 37.5%; sample: 48Mar 2026: suppressed: fewer than twenty movements×Apr 2026: 29.6%; sample: 27May 2026: 36.2%; sample: 69Jun 2026: 50.0%; sample: 90Pandemic 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 201846.8% of 94 movements
Feb 201830.1% of 83 movements
Mar 201847.7% of 111 movements
Apr 201849.6% of 125 movements
May 201856.8% of 125 movements
Jun 201850.8% of 128 movements
Jul 201852.9% of 157 movements
Aug 201842.0% of 157 movements
Sep 201849.2% of 118 movements
Oct 201840.8% of 125 movements
Nov 201819.0% of 100 movements
Dec 201843.7% of 103 movements
Jan 201934.7% of 101 movements
Feb 201927.5% of 91 movements
Mar 201929.2% of 106 movements
Apr 201945.2% of 135 movements
May 201937.9% of 132 movements
Jun 201953.1% of 128 movements
Jul 201961.7% of 149 movements
Aug 201959.1% of 149 movements
Sep 201943.1% of 130 movements
Oct 201944.0% of 116 movements
Nov 201922.2% of 99 movements
Dec 201945.5% of 99 movements
Jan 202037.1% of 97 movements
Feb 202047.3% of 93 movements
Mar 202044.6% of 56 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 202021.9% of 32 movements — small sample, not ranked
Aug 2020suppressed: fewer than twenty movements
Sep 202034.8% of 23 movements — small sample, not ranked
Oct 202040.0% of 30 movements — small sample, not ranked
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 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 2021suppressed: fewer than twenty movements
Jul 202156.0% of 25 movements — small sample, not ranked
Aug 202123.8% of 21 movements — small sample, not ranked
Sep 202133.3% of 24 movements — small sample, not ranked
Oct 202130.0% of 30 movements — small sample, not ranked
Nov 202121.1% of 38 movements — small sample, not ranked
Dec 202128.6% of 42 movements — small sample, not ranked
Jan 2022suppressed: fewer than twenty movements
Feb 202263.6% of 33 movements — small sample, not ranked
Mar 202267.9% of 56 movements
Apr 202271.8% of 117 movements
May 202271.4% of 112 movements
Jun 202270.0% of 100 movements
Jul 202270.2% of 94 movements
Aug 202256.6% of 106 movements
Sep 202272.0% of 100 movements
Oct 202262.1% of 95 movements
Nov 202235.4% of 96 movements
Dec 202263.0% of 108 movements
Jan 202323.3% of 90 movements
Feb 202346.7% of 90 movements
Mar 202360.9% of 110 movements
Apr 202349.6% of 117 movements
May 202345.8% of 131 movements
Jun 202365.3% of 121 movements
Jul 202357.5% of 106 movements
Aug 202344.6% of 112 movements
Sep 202348.1% of 108 movements
Oct 202360.0% of 80 movements
Nov 2023suppressed: fewer than twenty movements
Dec 202333.3% of 36 movements — small sample, not ranked
Jan 202441.7% of 24 movements — small sample, not ranked
Feb 202412.0% of 25 movements — small sample, not ranked
Mar 202410.0% of 40 movements — small sample, not ranked
Apr 202443.1% of 65 movements
May 202428.8% of 66 movements
Jun 202440.0% of 65 movements
Jul 202445.5% of 77 movements
Aug 202438.4% of 73 movements
Sep 202451.9% of 77 movements
Oct 202444.2% of 43 movements — small sample, not ranked
Nov 202442.3% of 52 movements
Dec 202440.5% of 84 movements
Jan 202537.9% of 95 movements
Feb 202541.7% of 84 movements
Mar 202529.8% of 94 movements
Apr 202533.1% of 118 movements
May 202536.8% of 95 movements
Jun 202541.8% of 55 movements
Jul 202527.3% of 77 movements
Aug 202539.5% of 81 movements
Sep 202544.7% of 94 movements
Oct 202550.6% of 89 movements
Nov 202540.6% of 69 movements
Dec 202550.6% of 77 movements
Jan 202637.3% of 59 movements
Feb 202637.5% of 48 movements — small sample, not ranked
Mar 2026suppressed: fewer than twenty movements
Apr 202629.6% of 27 movements — small sample, not ranked
May 202636.2% of 69 movements
Jun 202650.0% of 90 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 2022Arrivals70.2% of 94 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures72.3% of 94 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals44.6% of 112 movements53.2% across 1,270 flightsreturned the next month
NATS system failure · Aug 2023Departures55.5% of 110 movements53.7% across 1,262 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals29.8% of 94 movements38.7% across 821 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures37.2% of 94 movements55.7% across 820 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, 55.2% of arrivals were disrupted, measured across 6 Julys in the archive. November has been the calmest, at 35.4% across 5 Novembers.

Even July has ranged from 27.3% to 70.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201934.7% of 101 movements27.5% of 91 movements29.2% of 106 movements45.2% of 135 movements37.9% of 132 movements53.1% of 128 movements61.7% of 149 movements59.1% of 149 movements43.1% of 130 movements44.0% of 116 movements22.2% of 99 movements45.5% of 99 movements202037.1% of 97 movements47.3% of 93 movements44.6% of 56 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements21.9% of 32 movements †suppressed: fewer than twenty movements34.8% of 23 movements †40.0% of 30 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements56.0% of 25 movements †23.8% of 21 movements †33.3% of 24 movements †30.0% of 30 movements †21.1% of 38 movements †28.6% of 42 movements †2022suppressed: fewer than twenty movements63.6% of 33 movements †67.9% of 56 movements71.8% of 117 movements71.4% of 112 movements70.0% of 100 movements70.2% of 94 movements56.6% of 106 movements72.0% of 100 movements62.1% of 95 movements35.4% of 96 movements63.0% of 108 movements202323.3% of 90 movements46.7% of 90 movements60.9% of 110 movements49.6% of 117 movements45.8% of 131 movements65.3% of 121 movements57.5% of 106 movements44.6% of 112 movements48.1% of 108 movements60.0% of 80 movementssuppressed: fewer than twenty movements33.3% of 36 movements †202441.7% of 24 movements †12.0% of 25 movements †10.0% of 40 movements †43.1% of 65 movements28.8% of 66 movements40.0% of 65 movements45.5% of 77 movements38.4% of 73 movements51.9% of 77 movements44.2% of 43 movements †42.3% of 52 movements40.5% of 84 movements202537.9% of 95 movements41.7% of 84 movements29.8% of 94 movements33.1% of 118 movements36.8% of 95 movements41.8% of 55 movements27.3% of 77 movements39.5% of 81 movements44.7% of 94 movements50.6% of 89 movements40.6% of 69 movements50.6% of 77 movements202637.3% of 59 movements37.5% of 48 movements †suppressed: fewer than twenty movements29.6% of 27 movements †36.2% of 69 movements50.0% of 90 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan37.6%23.3–46.8%6 months, 463 flights
Feb37.5%12.0–63.6%7 months, 454 flights
Mar38.8%10.0–67.9%6 months, 517 flights
Apr45.2%29.6–71.8%7 months, 704 flights
May37.9%28.8–71.4%7 months, 730 flights
Jun50.8%40.0–70.0%7 months, 687 flights
Jul55.2%27.3–70.2%6 months, 660 flights
Aug43.3%38.4–59.1%6 months, 678 flights
Sep48.7%43.1–72.0%6 months, 627 flights
Oct47.4%40.8–62.1%6 months, 548 flights
Nov35.4%19.0–42.3%5 months, 416 flights
Dec44.6%33.3–63.0%6 months, 507 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: El Al 26.5% of 373 movements, Israir 52.2% of 207 movements, Wizz Air Uk 58.9% of 207 movements. Observed shares differ; the mix of operations is not matched, so no causal conclusion follows.

Figures cover arrivals, July 2025 to June 2026; lower is better in every column. Carriers with fewer than twenty published flights are suppressed rather than shown as zero. The page makes no ranking: the operations behind these shares are not matched for aircraft, time of day or season.

Observed disruption share by optionEl Al26.5% of 373 flightsIsrair52.2% of 207 flightsWizz Air Uk58.9% of 207 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Abelag Aviationsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Albinati Aviationsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Arkiasuppressed: 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
El Al37326.5% of 373 movements0.3% of 373 movements0.5% of 373 movementsdescriptive comparison
Israir20752.2% of 207 movements1.9% of 207 movements1.4% of 207 movementsdescriptive comparison
Monarch Airlinessuppressed: 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 Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Air Uk20758.9% of 207 movements3.9% of 207 movements1.0% of 207 movementsdescriptive comparison

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, LHR had the lowest disruption share at 19.7% of 755 movements and STN the highest at 49.2% of 179 movements. This route sits at 42.0% of 789 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 optionLgw ↔ Tel-Aviv †48.6% of 37 flightsLhr ↔ Tel-Aviv19.7% of 755 flightsStn ↔ Tel-Aviv49.2% of 179 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Tel-Avivsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Tel-Avivsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Tel-Avivsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Tel-Avivsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Tel-Avivsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Tel-Avivsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Tel-Avivsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Tel-Aviv3748.6% of 37 movements — small sample, not ranked18.9% of 37 movements — small sample, not rankedno events in 37 movements — small sample, not rankedsmall sample; not ranked
Lhr ↔ Tel-Aviv75519.7% of 755 movements4.1% of 755 movements0.3% of 755 movementsdescriptive comparison
Lpl ↔ Tel-Avivsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Tel-Avivsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Tel-Aviv17949.2% of 179 movements4.5% of 179 movements1.1% of 179 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LTN ran 42.0% of 789 movements disrupted, departures 59.4% of 793 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 LTN42.0% of 789 movements1.9% of 789 movements0.9% of 789 movements
Departures from LTN59.4% of 793 movements1.5% of 793 movements1.1% of 793 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 7,62646 × £520 = £23,920
ArrivalsLast 72 months · Jul 2020–Jun 202628 flights out of 4,49128 × £520 = £14,560
DeparturesWhole archive · Jan 2018–Jun 202636 flights out of 7,62436 × £520 = £18,720
DeparturesLast 72 months · Jul 2020–Jun 202628 flights out of 4,48728 × £520 = £14,560
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 / countryTEL AVIV / ISRAEL
Final point codesTLV / LLBG
Great-circle distance3,601 km
Maximum statutory amount for the band£520
Average operated arrivals per day2.12
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 archive100

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: 789; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

42.0% of 789 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.9% of 789 movements in the same window.

How many delays crossed three hours?

0.9% of 789 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?

3,601 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

Was your flight delayed 3h+? Check what you may be owed

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