UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ TEL AVIV

In the twelve months from July 2025 to June 2026, 19.7% of 755 movements arriving into LHR were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 80.3% of 755 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 378 crossed the three-hour mark. Lower is better on every figure on this page. These numbers describe what happened on the route; they are not a prediction for any individual flight.

Definitions, denominators and limits
  • “Disrupted” means an arrival more than fifteen minutes late or a short-notice cancellation. The denominator is operated movements plus short-notice cancellations.
  • Arrivals into the UK airport only; all published carriers.
  • Crossing three hours is one condition for compensation, but monthly data cannot establish any individual passenger’s rights.
  • Delay cause is not published in the open data.
  • Source: CAA punctuality statistics · snapshot 17/08/2026 10:24 · method route-record-v2.1.

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

The four numbers at a glance

In the twelve months from July 2025 to June 2026, 19.7% of 755 movements were disrupted and 4.1% of 755 movements were cancelled at short notice.

When a flight was late, it was typically late by the range shown below. The delay is given as a range, not a single number, because the regulator rounds its published percentages and never says how many flights landed exactly on time.

Disruption shareShort-notice cancellationsAverage delay among delayed flights only — boundsOperations
19.7% of 755 movements4.1% of 755 movements17.8–50.2 min; N of delayed flights=118–292755
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: 4.1% of 755 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 min15.6%30 min6.2%60 min1.6%120 min0.8%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min15.6% of 755 movements1186.4
>30 min6.2% of 755 movements4716.1
>60 min1.6% of 755 movements1262.9
>120 min0.8% of 755 movements6125.8
>180 min0.3% of 755 movements2377.5
>360 minno events in 755 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 early17823.6%15–1 early25433.6%0–15 late17423.0%16–30719.4%31–60354.6%61…12060.8%121…18040.5%181…36020.3%>36000.0%D=755
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0189; 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: Oct 2020, 1.9% of 52 movements. Worst month: Mar 2026, 62.1% of 58 movements.

The line traces every month in the archive; lower is better. Gaps are months with no published data, never zeros. The 2020 and 2021 readings reflect the pandemic, not normal service.

Monthly disruption share; gaps mean no published dataJan 2018: 33.0%; sample: 1122018Feb 2018: 17.0%; sample: 100Mar 2018: 28.1%; sample: 114Apr 2018: 28.1%; sample: 128May 2018: 22.7%; sample: 132Jun 2018: 23.8%; sample: 126Jul 2018: 26.1%; sample: 134Aug 2018: 19.4%; sample: 134Sep 2018: 28.4%; sample: 109Oct 2018: 23.3%; sample: 129Nov 2018: 18.7%; sample: 107Dec 2018: 30.9%; sample: 110Jan 2019: 7.1%; sample: 1122019Feb 2019: 12.0%; sample: 100Mar 2019: 33.0%; sample: 109Apr 2019: 22.7%; sample: 128May 2019: 11.1%; sample: 135Jun 2019: 28.0%; sample: 125Jul 2019: 28.4%; sample: 134Aug 2019: 35.4%; sample: 127Sep 2019: 21.6%; sample: 125Oct 2019: 23.4%; sample: 145Nov 2019: 23.0%; sample: 135Dec 2019: 37.9%; sample: 145Jan 2020: 19.7%; sample: 1422020Feb 2020: 55.3%; sample: 132Mar 2020: 20.2%; sample: 89Apr 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: suppressed: fewer than twenty movements×Sep 2020: 9.4%; sample: 32Oct 2020: 1.9%; sample: 52Nov 2020: 10.0%; sample: 30Dec 2020: 22.7%; sample: 44Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: 30.0%; sample: 40Apr 2021: 0.0%; sample: 49May 2021: 32.0%; sample: 75Jun 2021: 7.0%; sample: 86Jul 2021: 4.9%; sample: 102Aug 2021: 8.2%; sample: 61Sep 2021: 5.5%; sample: 73Oct 2021: 10.8%; sample: 93Nov 2021: 13.5%; sample: 96Dec 2021: 22.2%; sample: 72Jan 2022: 14.3%; sample: 422022Feb 2022: 15.2%; sample: 66Mar 2022: 17.0%; sample: 106Apr 2022: 27.8%; sample: 108May 2022: 10.8%; sample: 111Jun 2022: 25.9%; sample: 108Jul 2022: 24.8%; sample: 137Aug 2022: 23.9%; sample: 142Sep 2022: 18.3%; sample: 131Oct 2022: 13.8%; sample: 130Nov 2022: 19.3%; sample: 109Dec 2022: 42.9%; sample: 140Jan 2023: 28.2%; sample: 1422023Feb 2023: 19.5%; sample: 128Mar 2023: 30.9%; sample: 149Apr 2023: 16.9%; sample: 160May 2023: 13.8%; sample: 174Jun 2023: 25.6%; sample: 168Jul 2023: 27.9%; sample: 172Aug 2023: 20.3%; sample: 177Sep 2023: 22.1%; sample: 154Oct 2023: 60.0%; sample: 120Nov 2023: 55.1%; sample: 78Dec 2023: 27.7%; sample: 47Jan 2024: 22.6%; sample: 532024Feb 2024: 30.9%; sample: 55Mar 2024: 10.4%; sample: 48Apr 2024: 32.4%; sample: 71May 2024: 30.4%; sample: 79Jun 2024: 35.1%; sample: 74Jul 2024: 44.2%; sample: 95Aug 2024: 39.6%; sample: 91Sep 2024: 49.5%; sample: 93Oct 2024: 54.9%; sample: 71Nov 2024: 26.7%; sample: 45Dec 2024: 28.0%; sample: 50Jan 2025: 26.5%; sample: 492025Feb 2025: 13.6%; sample: 44Mar 2025: 12.5%; sample: 48Apr 2025: 13.6%; sample: 81May 2025: 37.8%; sample: 74Jun 2025: 45.0%; sample: 40Jul 2025: 6.0%; sample: 50Aug 2025: 6.4%; sample: 47Sep 2025: 32.6%; sample: 43Oct 2025: 20.8%; sample: 48Nov 2025: 8.7%; sample: 92Dec 2025: 21.0%; sample: 100Jan 2026: 27.4%; sample: 952026Feb 2026: 10.1%; sample: 89Mar 2026: 62.1%; sample: 58Apr 2026: 12.5%; sample: 40May 2026: 8.9%; sample: 45Jun 2026: 20.8%; sample: 48Pandemic regime Jun 2020Summer 2022 breakdown Jul 2022NATS system failure Aug 2023Heathrow fire closure Mar 2025100%0%
Every month since 2018, including gaps and suppressed cells
MonthDisruption on arrivals
Jan 201833.0% of 112 movements
Feb 201817.0% of 100 movements
Mar 201828.1% of 114 movements
Apr 201828.1% of 128 movements
May 201822.7% of 132 movements
Jun 201823.8% of 126 movements
Jul 201826.1% of 134 movements
Aug 201819.4% of 134 movements
Sep 201828.4% of 109 movements
Oct 201823.3% of 129 movements
Nov 201818.7% of 107 movements
Dec 201830.9% of 110 movements
Jan 20197.1% of 112 movements
Feb 201912.0% of 100 movements
Mar 201933.0% of 109 movements
Apr 201922.7% of 128 movements
May 201911.1% of 135 movements
Jun 201928.0% of 125 movements
Jul 201928.4% of 134 movements
Aug 201935.4% of 127 movements
Sep 201921.6% of 125 movements
Oct 201923.4% of 145 movements
Nov 201923.0% of 135 movements
Dec 201937.9% of 145 movements
Jan 202019.7% of 142 movements
Feb 202055.3% of 132 movements
Mar 202020.2% of 89 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 2020suppressed: fewer than twenty movements
Sep 20209.4% of 32 movements — small sample, not ranked
Oct 20201.9% of 52 movements
Nov 202010.0% of 30 movements — small sample, not ranked
Dec 202022.7% of 44 movements — small sample, not ranked
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 202130.0% of 40 movements — small sample, not ranked
Apr 2021no events in 49 movements — small sample, not ranked
May 202132.0% of 75 movements
Jun 20217.0% of 86 movements
Jul 20214.9% of 102 movements
Aug 20218.2% of 61 movements
Sep 20215.5% of 73 movements
Oct 202110.8% of 93 movements
Nov 202113.5% of 96 movements
Dec 202122.2% of 72 movements
Jan 202214.3% of 42 movements — small sample, not ranked
Feb 202215.2% of 66 movements
Mar 202217.0% of 106 movements
Apr 202227.8% of 108 movements
May 202210.8% of 111 movements
Jun 202225.9% of 108 movements
Jul 202224.8% of 137 movements
Aug 202223.9% of 142 movements
Sep 202218.3% of 131 movements
Oct 202213.8% of 130 movements
Nov 202219.3% of 109 movements
Dec 202242.9% of 140 movements
Jan 202328.2% of 142 movements
Feb 202319.5% of 128 movements
Mar 202330.9% of 149 movements
Apr 202316.9% of 160 movements
May 202313.8% of 174 movements
Jun 202325.6% of 168 movements
Jul 202327.9% of 172 movements
Aug 202320.3% of 177 movements
Sep 202322.1% of 154 movements
Oct 202360.0% of 120 movements
Nov 202355.1% of 78 movements
Dec 202327.7% of 47 movements — small sample, not ranked
Jan 202422.6% of 53 movements
Feb 202430.9% of 55 movements
Mar 202410.4% of 48 movements — small sample, not ranked
Apr 202432.4% of 71 movements
May 202430.4% of 79 movements
Jun 202435.1% of 74 movements
Jul 202444.2% of 95 movements
Aug 202439.6% of 91 movements
Sep 202449.5% of 93 movements
Oct 202454.9% of 71 movements
Nov 202426.7% of 45 movements — small sample, not ranked
Dec 202428.0% of 50 movements
Jan 202526.5% of 49 movements — small sample, not ranked
Feb 202513.6% of 44 movements — small sample, not ranked
Mar 202512.5% of 48 movements — small sample, not ranked
Apr 202513.6% of 81 movements
May 202537.8% of 74 movements
Jun 202545.0% of 40 movements — small sample, not ranked
Jul 20256.0% of 50 movements
Aug 20256.4% of 47 movements — small sample, not ranked
Sep 202532.6% of 43 movements — small sample, not ranked
Oct 202520.8% of 48 movements — small sample, not ranked
Nov 20258.7% of 92 movements
Dec 202521.0% of 100 movements
Jan 202627.4% of 95 movements
Feb 202610.1% of 89 movements
Mar 202662.1% of 58 movements
Apr 202612.5% of 40 movements — small sample, not ranked
May 20268.9% of 45 movements — small sample, not ranked
Jun 202620.8% of 48 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 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 2022Arrivals24.8% of 137 movements14.7% across 1,038 flightsreturned after 3 months
Summer 2022 breakdown · Jul 2022Departures64.7% of 139 movements32.0% across 1,038 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals20.3% of 177 movements23.4% across 1,745 flightsreturned the next month
NATS system failure · Aug 2023Departures56.2% of 178 movements41.7% across 1,743 flightsreturned after 6 months
Heathrow fire closure · Mar 2025Arrivals12.5% of 48 movements — small sample, not ranked32.6% across 810 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.0% of 50 movements48.7% across 812 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?

December has historically been the hardest month on this route: in a typical December, 29.5% of arrivals were disrupted, measured across 6 Decembers in the archive. May has been the calmest, at 13.8% across 7 Mays.

Even December has ranged from 21.0% to 42.9% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20197.1% of 112 movements12.0% of 100 movements33.0% of 109 movements22.7% of 128 movements11.1% of 135 movements28.0% of 125 movements28.4% of 134 movements35.4% of 127 movements21.6% of 125 movements23.4% of 145 movements23.0% of 135 movements37.9% of 145 movements202019.7% of 142 movements55.3% of 132 movements20.2% of 89 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements9.4% of 32 movements †1.9% of 52 movements10.0% of 30 movements †22.7% of 44 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movements30.0% of 40 movements †no events in 49 movements †32.0% of 75 movements7.0% of 86 movements4.9% of 102 movements8.2% of 61 movements5.5% of 73 movements10.8% of 93 movements13.5% of 96 movements22.2% of 72 movements202214.3% of 42 movements †15.2% of 66 movements17.0% of 106 movements27.8% of 108 movements10.8% of 111 movements25.9% of 108 movements24.8% of 137 movements23.9% of 142 movements18.3% of 131 movements13.8% of 130 movements19.3% of 109 movements42.9% of 140 movements202328.2% of 142 movements19.5% of 128 movements30.9% of 149 movements16.9% of 160 movements13.8% of 174 movements25.6% of 168 movements27.9% of 172 movements20.3% of 177 movements22.1% of 154 movements60.0% of 120 movements55.1% of 78 movements27.7% of 47 movements †202422.6% of 53 movements30.9% of 55 movements10.4% of 48 movements †32.4% of 71 movements30.4% of 79 movements35.1% of 74 movements44.2% of 95 movements39.6% of 91 movements49.5% of 93 movements54.9% of 71 movements26.7% of 45 movements †28.0% of 50 movements202526.5% of 49 movements †13.6% of 44 movements †12.5% of 48 movements †13.6% of 81 movements37.8% of 74 movements45.0% of 40 movements †6.0% of 50 movements6.4% of 47 movements †32.6% of 43 movements †20.8% of 48 movements †8.7% of 92 movements21.0% of 100 movements202627.4% of 95 movements10.1% of 89 movements62.1% of 58 movements12.5% of 40 movements †8.9% of 45 movements †20.8% of 48 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan26.5%7.1–33.0%7 months, 605 flights
Feb15.2%10.1–30.9%7 months, 582 flights
Mar28.1%10.4–62.1%7 months, 632 flights
Apr22.7%12.5–32.4%7 months, 716 flights
May13.8%8.9–37.8%7 months, 750 flights
Jun25.9%20.8–45.0%7 months, 689 flights
Jul27.0%6.0–44.2%6 months, 722 flights
Aug22.1%6.4–39.6%6 months, 718 flights
Sep25.3%18.3–49.5%6 months, 655 flights
Oct23.4%13.8–60.0%6 months, 643 flights
Nov21.1%8.7–55.1%6 months, 566 flights
Dec29.5%21.0–42.9%6 months, 592 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 17.7% of 628 movements, British Airways 29.9% of 127 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 optionBritish Airways29.9% of 127 flightsEl Al17.7% of 628 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Arkiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways12729.9% of 127 movements1.6% of 127 movementsno events in 127 movementsdescriptive comparison
El Al62817.7% of 628 movements4.6% of 628 movements0.3% of 628 movementsdescriptive comparison
Israirsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Qantassuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
United Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Virgin Atlantic Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Virgin Atlantic Internationalsuppressed: 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, LTN had the lowest disruption share at 42.0% of 789 movements and STN the highest at 49.2% of 179 movements. This route sits at 19.7% of 755 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 flightsLtn ↔ Tel-Aviv42.0% of 789 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
Lpl ↔ Tel-Avivsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Tel-Aviv78942.0% of 789 movements1.9% of 789 movements0.9% of 789 movementsdescriptive comparison
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 LHR ran 19.7% of 755 movements disrupted, departures 37.5% of 762 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 LHR19.7% of 755 movements4.1% of 755 movements0.3% of 755 movements
Departures from LHR37.5% of 762 movements5.0% of 762 movements0.7% of 762 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 202639 flights out of 9,19539 × £520 = £20,280
ArrivalsLast 72 months · Jul 2020–Jun 202624 flights out of 5,86124 × £520 = £12,480
DeparturesWhole archive · Jan 2018–Jun 202652 flights out of 9,21552 × £520 = £27,040
DeparturesLast 72 months · Jul 2020–Jun 202636 flights out of 5,87936 × £520 = £18,720
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 airportHEATHROW · LHR
Final point / countryTEL AVIV / ISRAEL
Final point codesTLV / LLBG
Great-circle distance3,589 km
Maximum statutory amount for the band£520
Average operated arrivals per day1.98
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: 755; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

19.7% of 755 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

4.1% of 755 movements in the same window.

How many delays crossed three hours?

0.3% of 755 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?

3,589 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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