UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ ATHENS

In the twelve months from July 2025 to June 2026, 21.3% of 3,029 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, 78.7% of 3,029 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 505 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, 21.3% of 3,029 movements were disrupted and 0.4% of 3,029 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
21.3% of 3,029 movements0.4% of 3,029 movements21.0–51.8 min; N of delayed flights=633–1,4203,029
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: 0.4% of 3,029 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 min20.9%30 min9.1%60 min2.7%120 min0.4%180 min0.2%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min20.9% of 3,029 movements6334.8
>30 min9.1% of 3,029 movements27710.9
>60 min2.7% of 3,029 movements8137.4
>120 min0.4% of 3,029 movements13233.0
>180 min0.2% of 3,029 movements6504.8
>360 min0.1% of 3,029 movements21,514.5
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?

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 early57619.0%15–1 early1,02033.7%0–15 late78726.0%16–3035611.8%31–601966.5%61…120682.2%121…18070.2%181…36040.1%>36020.1%D=3,029
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0109; 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, 0.5% of 201 movements. Worst month: Jul 2024, 69.2% of 279 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: 33.3%; sample: 1562018Feb 2018: 12.3%; sample: 138Mar 2018: 13.7%; sample: 175Apr 2018: 15.0%; sample: 213May 2018: 16.3%; sample: 221Jun 2018: 29.9%; sample: 214Jul 2018: 47.3%; sample: 220Aug 2018: 29.4%; sample: 218Sep 2018: 20.8%; sample: 212Oct 2018: 20.9%; sample: 215Nov 2018: 21.0%; sample: 162Dec 2018: 40.1%; sample: 167Jan 2019: 10.8%; sample: 1672019Feb 2019: 11.9%; sample: 151Mar 2019: 26.9%; sample: 171Apr 2019: 8.5%; sample: 235May 2019: 22.8%; sample: 237Jun 2019: 28.0%; sample: 225Jul 2019: 41.3%; sample: 230Aug 2019: 30.2%; sample: 232Sep 2019: 24.1%; sample: 212Oct 2019: 22.3%; sample: 224Nov 2019: 10.5%; sample: 162Dec 2019: 22.6%; sample: 164Jan 2020: 12.7%; sample: 1582020Feb 2020: 54.8%; sample: 155Mar 2020: 11.5%; sample: 131Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 17.1%; sample: 82Aug 2020: 4.4%; sample: 205Sep 2020: 0.5%; sample: 201Oct 2020: 8.2%; sample: 147Nov 2020: 4.5%; sample: 66Dec 2020: 2.7%; sample: 73Jan 2021: 6.5%; sample: 462021Feb 2021: 4.0%; sample: 25Mar 2021: 2.4%; sample: 41Apr 2021: 0.0%; sample: 44May 2021: 4.6%; sample: 65Jun 2021: 2.0%; sample: 102Jul 2021: 18.4%; sample: 163Aug 2021: 26.0%; sample: 254Sep 2021: 13.6%; sample: 265Oct 2021: 8.8%; sample: 250Nov 2021: 8.1%; sample: 186Dec 2021: 7.7%; sample: 194Jan 2022: 10.3%; sample: 1562022Feb 2022: 14.6%; sample: 137Mar 2022: 10.5%; sample: 190Apr 2022: 19.7%; sample: 233May 2022: 28.5%; sample: 256Jun 2022: 50.2%; sample: 235Jul 2022: 47.6%; sample: 254Aug 2022: 30.4%; sample: 257Sep 2022: 49.8%; sample: 261Oct 2022: 36.3%; sample: 262Nov 2022: 15.3%; sample: 196Dec 2022: 24.6%; sample: 183Jan 2023: 16.3%; sample: 2022023Feb 2023: 11.7%; sample: 180Mar 2023: 32.1%; sample: 215Apr 2023: 35.9%; sample: 234May 2023: 34.2%; sample: 240Jun 2023: 38.7%; sample: 230Jul 2023: 52.1%; sample: 236Aug 2023: 42.1%; sample: 242Sep 2023: 39.0%; sample: 231Oct 2023: 35.4%; sample: 237Nov 2023: 41.2%; sample: 170Dec 2023: 35.1%; sample: 171Jan 2024: 22.3%; sample: 1792024Feb 2024: 20.5%; sample: 166Mar 2024: 15.9%; sample: 182Apr 2024: 27.9%; sample: 262May 2024: 50.5%; sample: 279Jun 2024: 50.5%; sample: 273Jul 2024: 69.2%; sample: 279Aug 2024: 51.4%; sample: 280Sep 2024: 63.6%; sample: 269Oct 2024: 30.6%; sample: 294Nov 2024: 15.2%; sample: 204Dec 2024: 25.6%; sample: 211Jan 2025: 19.3%; sample: 2072025Feb 2025: 10.6%; sample: 188Mar 2025: 8.6%; sample: 221Apr 2025: 16.3%; sample: 283May 2025: 31.0%; sample: 290Jun 2025: 24.6%; sample: 284Jul 2025: 35.1%; sample: 296Aug 2025: 21.6%; sample: 296Sep 2025: 37.2%; sample: 274Oct 2025: 22.3%; sample: 265Nov 2025: 13.8%; sample: 218Dec 2025: 18.5%; sample: 222Jan 2026: 17.2%; sample: 2092026Feb 2026: 9.3%; sample: 194Mar 2026: 5.3%; sample: 228Apr 2026: 11.7%; sample: 274May 2026: 17.3%; sample: 283Jun 2026: 36.7%; sample: 270Pandemic 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 201833.3% of 156 movements
Feb 201812.3% of 138 movements
Mar 201813.7% of 175 movements
Apr 201815.0% of 213 movements
May 201816.3% of 221 movements
Jun 201829.9% of 214 movements
Jul 201847.3% of 220 movements
Aug 201829.4% of 218 movements
Sep 201820.8% of 212 movements
Oct 201820.9% of 215 movements
Nov 201821.0% of 162 movements
Dec 201840.1% of 167 movements
Jan 201910.8% of 167 movements
Feb 201911.9% of 151 movements
Mar 201926.9% of 171 movements
Apr 20198.5% of 235 movements
May 201922.8% of 237 movements
Jun 201928.0% of 225 movements
Jul 201941.3% of 230 movements
Aug 201930.2% of 232 movements
Sep 201924.1% of 212 movements
Oct 201922.3% of 224 movements
Nov 201910.5% of 162 movements
Dec 201922.6% of 164 movements
Jan 202012.7% of 158 movements
Feb 202054.8% of 155 movements
Mar 202011.5% of 131 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 202017.1% of 82 movements
Aug 20204.4% of 205 movements
Sep 20200.5% of 201 movements
Oct 20208.2% of 147 movements
Nov 20204.5% of 66 movements
Dec 20202.7% of 73 movements
Jan 20216.5% of 46 movements — small sample, not ranked
Feb 20214.0% of 25 movements — small sample, not ranked
Mar 20212.4% of 41 movements — small sample, not ranked
Apr 2021no events in 44 movements — small sample, not ranked
May 20214.6% of 65 movements
Jun 20212.0% of 102 movements
Jul 202118.4% of 163 movements
Aug 202126.0% of 254 movements
Sep 202113.6% of 265 movements
Oct 20218.8% of 250 movements
Nov 20218.1% of 186 movements
Dec 20217.7% of 194 movements
Jan 202210.3% of 156 movements
Feb 202214.6% of 137 movements
Mar 202210.5% of 190 movements
Apr 202219.7% of 233 movements
May 202228.5% of 256 movements
Jun 202250.2% of 235 movements
Jul 202247.6% of 254 movements
Aug 202230.4% of 257 movements
Sep 202249.8% of 261 movements
Oct 202236.3% of 262 movements
Nov 202215.3% of 196 movements
Dec 202224.6% of 183 movements
Jan 202316.3% of 202 movements
Feb 202311.7% of 180 movements
Mar 202332.1% of 215 movements
Apr 202335.9% of 234 movements
May 202334.2% of 240 movements
Jun 202338.7% of 230 movements
Jul 202352.1% of 236 movements
Aug 202342.1% of 242 movements
Sep 202339.0% of 231 movements
Oct 202335.4% of 237 movements
Nov 202341.2% of 170 movements
Dec 202335.1% of 171 movements
Jan 202422.3% of 179 movements
Feb 202420.5% of 166 movements
Mar 202415.9% of 182 movements
Apr 202427.9% of 262 movements
May 202450.5% of 279 movements
Jun 202450.5% of 273 movements
Jul 202469.2% of 279 movements
Aug 202451.4% of 280 movements
Sep 202463.6% of 269 movements
Oct 202430.6% of 294 movements
Nov 202415.2% of 204 movements
Dec 202425.6% of 211 movements
Jan 202519.3% of 207 movements
Feb 202510.6% of 188 movements
Mar 20258.6% of 221 movements
Apr 202516.3% of 283 movements
May 202531.0% of 290 movements
Jun 202524.6% of 284 movements
Jul 202535.1% of 296 movements
Aug 202521.6% of 296 movements
Sep 202537.2% of 274 movements
Oct 202522.3% of 265 movements
Nov 202513.8% of 218 movements
Dec 202518.5% of 222 movements
Jan 202617.2% of 209 movements
Feb 20269.3% of 194 movements
Mar 20265.3% of 228 movements
Apr 202611.7% of 274 movements
May 202617.3% of 283 movements
Jun 202636.7% of 270 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 2022Arrivals47.6% of 254 movements18.0% across 2,519 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures64.7% of 252 movements25.2% across 2,516 flightsreturned after 6 months
NATS system failure · Aug 2023Arrivals42.1% of 242 movements31.4% across 2,696 flightsreturned after 5 months
NATS system failure · Aug 2023Departures42.5% of 240 movements40.3% across 2,694 flightsreturned after 4 months
Heathrow fire closure · Mar 2025Arrivals8.6% of 221 movements35.9% across 2,928 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.4% of 223 movements35.5% across 2,929 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, 47.5% of arrivals were disrupted, measured across 6 Julys in the archive. February has been the calmest, at 11.9% across 7 Februarys.

Even July has ranged from 35.1% to 69.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201910.8% of 167 movements11.9% of 151 movements26.9% of 171 movements8.5% of 235 movements22.8% of 237 movements28.0% of 225 movements41.3% of 230 movements30.2% of 232 movements24.1% of 212 movements22.3% of 224 movements10.5% of 162 movements22.6% of 164 movements202012.7% of 158 movements54.8% of 155 movements11.5% of 131 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements17.1% of 82 movements4.4% of 205 movements0.5% of 201 movements8.2% of 147 movements4.5% of 66 movements2.7% of 73 movements20216.5% of 46 movements †4.0% of 25 movements †2.4% of 41 movements †no events in 44 movements †4.6% of 65 movements2.0% of 102 movements18.4% of 163 movements26.0% of 254 movements13.6% of 265 movements8.8% of 250 movements8.1% of 186 movements7.7% of 194 movements202210.3% of 156 movements14.6% of 137 movements10.5% of 190 movements19.7% of 233 movements28.5% of 256 movements50.2% of 235 movements47.6% of 254 movements30.4% of 257 movements49.8% of 261 movements36.3% of 262 movements15.3% of 196 movements24.6% of 183 movements202316.3% of 202 movements11.7% of 180 movements32.1% of 215 movements35.9% of 234 movements34.2% of 240 movements38.7% of 230 movements52.1% of 236 movements42.1% of 242 movements39.0% of 231 movements35.4% of 237 movements41.2% of 170 movements35.1% of 171 movements202422.3% of 179 movements20.5% of 166 movements15.9% of 182 movements27.9% of 262 movements50.5% of 279 movements50.5% of 273 movements69.2% of 279 movements51.4% of 280 movements63.6% of 269 movements30.6% of 294 movements15.2% of 204 movements25.6% of 211 movements202519.3% of 207 movements10.6% of 188 movements8.6% of 221 movements16.3% of 283 movements31.0% of 290 movements24.6% of 284 movements35.1% of 296 movements21.6% of 296 movements37.2% of 274 movements22.3% of 265 movements13.8% of 218 movements18.5% of 222 movements202617.2% of 209 movements9.3% of 194 movements5.3% of 228 movements11.7% of 274 movements17.3% of 283 movements36.7% of 270 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan17.2%10.3–33.3%7 months, 1,276 flights
Feb11.9%9.3–20.5%7 months, 1,154 flights
Mar13.7%5.3–32.1%7 months, 1,382 flights
Apr16.3%8.5–35.9%7 months, 1,734 flights
May28.5%16.3–50.5%7 months, 1,806 flights
Jun36.7%24.6–50.5%7 months, 1,731 flights
Jul47.5%35.1–69.2%6 months, 1,515 flights
Aug30.3%21.6–51.4%6 months, 1,525 flights
Sep38.1%20.8–63.6%6 months, 1,459 flights
Oct26.5%20.9–36.3%6 months, 1,497 flights
Nov15.3%10.5–41.2%6 months, 1,112 flights
Dec25.1%18.5–40.1%6 months, 1,118 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: Aegean Airlines 20.2% of 1,317 movements, British Airways 22.2% of 1,711 movements. The gap between them sits inside sampling noise.

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 optionAegean Airlines20.2% of 1,317 flightsBritish Airways22.2% of 1,711 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aegean Airlines1,31720.2% of 1,317 movements0.1% of 1,317 movements0.1% of 1,317 movementsdescriptive comparison
Air Canadasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
American Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways1,71122.2% of 1,711 movements0.7% of 1,711 movements0.3% of 1,711 movementsdescriptive comparison
Delta Airlinessuppressed: 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
Sky Expresssuppressed: 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
Wamos Airsuppressed: 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, EDI had the lowest disruption share at 28.5% of 267 movements and BHX the highest at 80.3% of 66 movements. This route sits at 21.3% of 3,029 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 ↔ Athens80.3% of 66 flightsBrs ↔ Athens53.0% of 132 flightsEdi ↔ Athens28.5% of 267 flightsLgw ↔ Athens34.4% of 1,342 flightsLtn ↔ Athens44.3% of 465 flightsMan ↔ Athens59.7% of 556 flightsStn ↔ Athens42.4% of 528 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Athenssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Athenssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Athenssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Athens6680.3% of 66 movementsno events in 66 movementsno events in 66 movementsdescriptive comparison
Brs ↔ Athens13253.0% of 132 movements0.8% of 132 movementsno events in 132 movementsdescriptive comparison
Cwl ↔ Athenssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Athenssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Athens26728.5% of 267 movements1.9% of 267 movements0.7% of 267 movementsdescriptive comparison
Ema ↔ Athenssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Athenssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ Athenssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Athenssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Athens1,34234.4% of 1,342 movements0.4% of 1,342 movements0.4% of 1,342 movementsdescriptive comparison
Lpl ↔ Athenssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Athens46544.3% of 465 movements0.9% of 465 movements1.1% of 465 movementsdescriptive comparison
Man ↔ Athens55659.7% of 556 movements0.5% of 556 movements1.3% of 556 movementsdescriptive comparison
Ncl ↔ Athenssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Athenssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Athens52842.4% of 528 movements0.4% of 528 movements0.8% of 528 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 21.3% of 3,029 movements disrupted, departures 26.6% of 3,028 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 LHR21.3% of 3,029 movements0.4% of 3,029 movements0.2% of 3,029 movements
Departures from LHR26.6% of 3,028 movements0.5% of 3,028 movements0.1% of 3,028 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 202659 flights out of 20,16959 × £350 = £20,650
ArrivalsLast 72 months · Jul 2020–Jun 202646 flights out of 14,99746 × £350 = £16,100
DeparturesWhole archive · Jan 2018–Jun 202629 flights out of 20,16429 × £350 = £10,150
DeparturesLast 72 months · Jul 2020–Jun 202623 flights out of 14,99623 × £350 = £8,050
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 / countryATHENS / GREECE
Final point codesATH / LGAV
Great-circle distance2,427 km
Maximum statutory amount for the band£350
Average operated arrivals per day8.26
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: 3,029; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

21.3% of 3,029 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.4% of 3,029 movements in the same window.

How many delays crossed three hours?

0.2% of 3,029 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

chronically slightly late. The class compares the tail with short delays across routes in the corpus.

What distance is used?

2,427 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.

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Reconstruction and formulas

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