UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ GENEVA

In the twelve months from July 2025 to June 2026, 21.8% of 4,514 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, 78.2% of 4,514 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 502 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, 21.8% of 4,514 movements were disrupted and 1.0% of 4,514 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
21.8% of 4,514 movements1.0% of 4,514 movements20.9–52.3 min; N of delayed flights=943–2,1424,514
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: 1.0% of 4,514 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 min10.5%60 min3.8%120 min0.6%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min20.9% of 4,514 movements9434.8
>30 min10.5% of 4,514 movements4729.6
>60 min3.8% of 4,514 movements17026.6
>120 min0.6% of 4,514 movements29155.7
>180 min0.2% of 4,514 movements9501.6
>360 minno events in 4,514 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 early58412.9%15–1 early1,74538.7%0–15 late1,19926.6%16–3047110.4%31–603026.7%61…1201413.1%121…180200.4%181…36090.2%>36000.0%D=4,514
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0116; 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, 2.5% of 80 movements. Worst month: Mar 2023, 57.1% of 478 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: 31.4%; sample: 4712018Feb 2018: 24.3%; sample: 449Mar 2018: 38.2%; sample: 477Apr 2018: 30.1%; sample: 385May 2018: 21.3%; sample: 381Jun 2018: 24.3%; sample: 366Jul 2018: 29.1%; sample: 395Aug 2018: 24.1%; sample: 394Sep 2018: 18.9%; sample: 359Oct 2018: 27.6%; sample: 406Nov 2018: 25.1%; sample: 415Dec 2018: 39.3%; sample: 450Jan 2019: 14.0%; sample: 4852019Feb 2019: 24.1%; sample: 440Mar 2019: 32.2%; sample: 491Apr 2019: 18.9%; sample: 386May 2019: 15.1%; sample: 385Jun 2019: 29.1%; sample: 382Jul 2019: 26.6%; sample: 398Aug 2019: 29.4%; sample: 395Sep 2019: 22.2%; sample: 365Oct 2019: 24.1%; sample: 399Nov 2019: 10.3%; sample: 416Dec 2019: 33.0%; sample: 451Jan 2020: 18.3%; sample: 4912020Feb 2020: 46.2%; sample: 472Mar 2020: 15.1%; sample: 357Apr 2020: 19.2%; sample: 26May 2020: suppressed: fewer than twenty movements×Jun 2020: 0.0%; sample: 25Jul 2020: 6.3%; sample: 95Aug 2020: 2.8%; sample: 109Sep 2020: 2.6%; sample: 77Oct 2020: 2.5%; sample: 80Nov 2020: 2.6%; sample: 38Dec 2020: 23.1%; sample: 65Jan 2021: 7.7%; sample: 392021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: 3.7%; sample: 27May 2021: 2.6%; sample: 38Jun 2021: 7.0%; sample: 57Jul 2021: 13.8%; sample: 80Aug 2021: 15.3%; sample: 137Sep 2021: 8.7%; sample: 150Oct 2021: 5.3%; sample: 206Nov 2021: 8.5%; sample: 201Dec 2021: 20.1%; sample: 234Jan 2022: 9.5%; sample: 3462022Feb 2022: 34.0%; sample: 382Mar 2022: 27.0%; sample: 459Apr 2022: 35.2%; sample: 355May 2022: 29.0%; sample: 310Jun 2022: 45.2%; sample: 252Jul 2022: 38.7%; sample: 271Aug 2022: 22.3%; sample: 305Sep 2022: 40.9%; sample: 276Oct 2022: 26.5%; sample: 283Nov 2022: 17.5%; sample: 412Dec 2022: 43.5%; sample: 462Jan 2023: 32.4%; sample: 4822023Feb 2023: 28.0%; sample: 429Mar 2023: 57.1%; sample: 478Apr 2023: 45.3%; sample: 333May 2023: 33.2%; sample: 337Jun 2023: 42.4%; sample: 323Jul 2023: 41.0%; sample: 344Aug 2023: 42.0%; sample: 348Sep 2023: 39.0%; sample: 344Oct 2023: 29.6%; sample: 355Nov 2023: 18.8%; sample: 346Dec 2023: 48.3%; sample: 460Jan 2024: 22.2%; sample: 4822024Feb 2024: 28.4%; sample: 472Mar 2024: 28.5%; sample: 502Apr 2024: 34.3%; sample: 341May 2024: 31.9%; sample: 342Jun 2024: 34.3%; sample: 321Jul 2024: 41.5%; sample: 337Aug 2024: 43.3%; sample: 342Sep 2024: 48.5%; sample: 338Oct 2024: 28.3%; sample: 346Nov 2024: 18.5%; sample: 325Dec 2024: 37.2%; sample: 417Jan 2025: 25.4%; sample: 4932025Feb 2025: 10.0%; sample: 450Mar 2025: 21.1%; sample: 492Apr 2025: 12.8%; sample: 327May 2025: 19.1%; sample: 325Jun 2025: 28.1%; sample: 320Jul 2025: 40.1%; sample: 322Aug 2025: 23.4%; sample: 312Sep 2025: 30.8%; sample: 318Oct 2025: 25.5%; sample: 337Nov 2025: 10.4%; sample: 336Dec 2025: 25.3%; sample: 423Jan 2026: 26.6%; sample: 4922026Feb 2026: 11.9%; sample: 452Mar 2026: 14.6%; sample: 487Apr 2026: 11.5%; sample: 348May 2026: 17.1%; sample: 346Jun 2026: 30.2%; sample: 341Pandemic 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 201831.4% of 471 movements
Feb 201824.3% of 449 movements
Mar 201838.2% of 477 movements
Apr 201830.1% of 385 movements
May 201821.3% of 381 movements
Jun 201824.3% of 366 movements
Jul 201829.1% of 395 movements
Aug 201824.1% of 394 movements
Sep 201818.9% of 359 movements
Oct 201827.6% of 406 movements
Nov 201825.1% of 415 movements
Dec 201839.3% of 450 movements
Jan 201914.0% of 485 movements
Feb 201924.1% of 440 movements
Mar 201932.2% of 491 movements
Apr 201918.9% of 386 movements
May 201915.1% of 385 movements
Jun 201929.1% of 382 movements
Jul 201926.6% of 398 movements
Aug 201929.4% of 395 movements
Sep 201922.2% of 365 movements
Oct 201924.1% of 399 movements
Nov 201910.3% of 416 movements
Dec 201933.0% of 451 movements
Jan 202018.3% of 491 movements
Feb 202046.2% of 472 movements
Mar 202015.1% of 357 movements
Apr 202019.2% of 26 movements — small sample, not ranked
May 2020suppressed: fewer than twenty movements
Jun 2020no events in 25 movements — small sample, not ranked
Jul 20206.3% of 95 movements
Aug 20202.8% of 109 movements
Sep 20202.6% of 77 movements
Oct 20202.5% of 80 movements
Nov 20202.6% of 38 movements — small sample, not ranked
Dec 202023.1% of 65 movements
Jan 20217.7% of 39 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 20213.7% of 27 movements — small sample, not ranked
May 20212.6% of 38 movements — small sample, not ranked
Jun 20217.0% of 57 movements
Jul 202113.8% of 80 movements
Aug 202115.3% of 137 movements
Sep 20218.7% of 150 movements
Oct 20215.3% of 206 movements
Nov 20218.5% of 201 movements
Dec 202120.1% of 234 movements
Jan 20229.5% of 346 movements
Feb 202234.0% of 382 movements
Mar 202227.0% of 459 movements
Apr 202235.2% of 355 movements
May 202229.0% of 310 movements
Jun 202245.2% of 252 movements
Jul 202238.7% of 271 movements
Aug 202222.3% of 305 movements
Sep 202240.9% of 276 movements
Oct 202226.5% of 283 movements
Nov 202217.5% of 412 movements
Dec 202243.5% of 462 movements
Jan 202332.4% of 482 movements
Feb 202328.0% of 429 movements
Mar 202357.1% of 478 movements
Apr 202345.3% of 333 movements
May 202333.2% of 337 movements
Jun 202342.4% of 323 movements
Jul 202341.0% of 344 movements
Aug 202342.0% of 348 movements
Sep 202339.0% of 344 movements
Oct 202329.6% of 355 movements
Nov 202318.8% of 346 movements
Dec 202348.3% of 460 movements
Jan 202422.2% of 482 movements
Feb 202428.4% of 472 movements
Mar 202428.5% of 502 movements
Apr 202434.3% of 341 movements
May 202431.9% of 342 movements
Jun 202434.3% of 321 movements
Jul 202441.5% of 337 movements
Aug 202443.3% of 342 movements
Sep 202448.5% of 338 movements
Oct 202428.3% of 346 movements
Nov 202418.5% of 325 movements
Dec 202437.2% of 417 movements
Jan 202525.4% of 493 movements
Feb 202510.0% of 450 movements
Mar 202521.1% of 492 movements
Apr 202512.8% of 327 movements
May 202519.1% of 325 movements
Jun 202528.1% of 320 movements
Jul 202540.1% of 322 movements
Aug 202523.4% of 312 movements
Sep 202530.8% of 318 movements
Oct 202525.5% of 337 movements
Nov 202510.4% of 336 movements
Dec 202525.3% of 423 movements
Jan 202626.6% of 492 movements
Feb 202611.9% of 452 movements
Mar 202614.6% of 487 movements
Apr 202611.5% of 348 movements
May 202617.1% of 346 movements
Jun 202630.2% of 341 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 2020Arrivalsno events in 25 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuresno events in 25 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals38.7% of 271 movements21.0% across 3,112 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures59.9% of 269 movements29.2% across 3,090 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals42.0% of 348 movements35.8% across 4,464 flightsreturned after 2 months
NATS system failure · Aug 2023Departures46.7% of 349 movements42.1% across 4,463 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals21.1% of 492 movements31.8% across 4,554 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures27.6% of 490 movements33.4% across 4,554 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, 39.4% of arrivals were disrupted, measured across 6 Julys in the archive. November has been the calmest, at 18.0% across 6 Novembers.

Even July has ranged from 26.6% to 41.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201914.0% of 485 movements24.1% of 440 movements32.2% of 491 movements18.9% of 386 movements15.1% of 385 movements29.1% of 382 movements26.6% of 398 movements29.4% of 395 movements22.2% of 365 movements24.1% of 399 movements10.3% of 416 movements33.0% of 451 movements202018.3% of 491 movements46.2% of 472 movements15.1% of 357 movements19.2% of 26 movements †suppressed: fewer than twenty movementsno events in 25 movements †6.3% of 95 movements2.8% of 109 movements2.6% of 77 movements2.5% of 80 movements2.6% of 38 movements †23.1% of 65 movements20217.7% of 39 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.7% of 27 movements †2.6% of 38 movements †7.0% of 57 movements13.8% of 80 movements15.3% of 137 movements8.7% of 150 movements5.3% of 206 movements8.5% of 201 movements20.1% of 234 movements20229.5% of 346 movements34.0% of 382 movements27.0% of 459 movements35.2% of 355 movements29.0% of 310 movements45.2% of 252 movements38.7% of 271 movements22.3% of 305 movements40.9% of 276 movements26.5% of 283 movements17.5% of 412 movements43.5% of 462 movements202332.4% of 482 movements28.0% of 429 movements57.1% of 478 movements45.3% of 333 movements33.2% of 337 movements42.4% of 323 movements41.0% of 344 movements42.0% of 348 movements39.0% of 344 movements29.6% of 355 movements18.8% of 346 movements48.3% of 460 movements202422.2% of 482 movements28.4% of 472 movements28.5% of 502 movements34.3% of 341 movements31.9% of 342 movements34.3% of 321 movements41.5% of 337 movements43.3% of 342 movements48.5% of 338 movements28.3% of 346 movements18.5% of 325 movements37.2% of 417 movements202525.4% of 493 movements10.0% of 450 movements21.1% of 492 movements12.8% of 327 movements19.1% of 325 movements28.1% of 320 movements40.1% of 322 movements23.4% of 312 movements30.8% of 318 movements25.5% of 337 movements10.4% of 336 movements25.3% of 423 movements202626.6% of 492 movements11.9% of 452 movements14.6% of 487 movements11.5% of 348 movements17.1% of 346 movements30.2% of 341 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.4%9.5–32.4%7 months, 3,251 flights
Feb24.3%10.0–34.0%7 months, 3,074 flights
Mar28.5%14.6–57.1%7 months, 3,386 flights
Apr30.1%11.5–45.3%7 months, 2,475 flights
May21.3%15.1–33.2%7 months, 2,426 flights
Jun30.2%24.3–45.2%7 months, 2,305 flights
Jul39.4%26.6–41.5%6 months, 2,067 flights
Aug26.7%22.3–43.3%6 months, 2,096 flights
Sep34.9%18.9–48.5%6 months, 2,000 flights
Oct27.0%24.1–29.6%6 months, 2,126 flights
Nov18.0%10.3–25.1%6 months, 2,250 flights
Dec38.3%25.3–48.3%6 months, 2,663 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: British Airways 19.9% of 2,719 movements, Swiss Airlines 24.8% of 1,794 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 Airways19.9% of 2,719 flightsSwiss Airlines24.8% of 1,794 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ba Euroflyer British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways2,71919.9% of 2,719 movements0.8% of 2,719 movements0.3% of 2,719 movementsdescriptive comparison
Ethiopian Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Swiss Airlines1,79424.8% of 1,794 movements1.2% of 1,794 movementsno events in 1,794 movementsdescriptive comparison
Titan Airwayssuppressed: 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

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, SEN had the lowest disruption share at 20.0% of 85 movements and MAN the highest at 51.8% of 1,098 movements. This route sits at 21.8% of 4,514 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 optionBfs ↔ Geneva30.4% of 125 flightsBhx ↔ Geneva32.6% of 411 flightsBoh ↔ Geneva26.8% of 97 flightsBrs ↔ Geneva33.8% of 758 flightsEdi ↔ Geneva38.6% of 733 flightsGla ↔ Geneva44.6% of 74 flightsLba ↔ Geneva38.5% of 122 flightsLcy ↔ Geneva26.6% of 158 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Genevasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Geneva12530.4% of 125 movements0.8% of 125 movements0.8% of 125 movementsdescriptive comparison
Bhd ↔ Genevasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Geneva41132.6% of 411 movements0.5% of 411 movements0.5% of 411 movementsdescriptive comparison
Boh ↔ Geneva9726.8% of 97 movementsno events in 97 movementsno events in 97 movementsdescriptive comparison
Brs ↔ Geneva75833.8% of 758 movements0.3% of 758 movements0.8% of 758 movementsdescriptive comparison
Cwl ↔ Genevasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Genevasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Genevasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Geneva73338.6% of 733 movements0.5% of 733 movements0.4% of 733 movementsdescriptive comparison
Ema ↔ Genevasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Genevasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Geneva7444.6% of 74 movementsno events in 74 movementsno events in 74 movementsdescriptive comparison
Iom ↔ Genevasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Genevasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Geneva12238.5% of 122 movementsno events in 122 movements0.8% of 122 movementsdescriptive comparison
Lcy ↔ Geneva15826.6% of 158 movements0.6% of 158 movementsno events in 158 movementsdescriptive comparison
Lgw ↔ Geneva2,41130.0% of 2,411 movements1.3% of 2,411 movements0.7% of 2,411 movementsdescriptive comparison
Lpl ↔ Geneva22724.2% of 227 movements0.9% of 227 movementsno events in 227 movementsdescriptive comparison
Ltn ↔ Geneva1,09736.4% of 1,097 movementsno events in 1,097 movements1.2% of 1,097 movementsdescriptive comparison
Man ↔ Geneva1,09851.8% of 1,098 movements1.2% of 1,098 movements1.0% of 1,098 movementsdescriptive comparison
Ncl ↔ Geneva8525.9% of 85 movementsno events in 85 movementsno events in 85 movementsdescriptive comparison
Sen ↔ Geneva8520.0% of 85 movements1.2% of 85 movementsno events in 85 movementsdescriptive comparison
Sou ↔ Geneva6222.6% of 62 movements1.6% of 62 movementsno events in 62 movementsdescriptive comparison
Stn ↔ Geneva11938.7% of 119 movementsno events in 119 movements0.8% of 119 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 21.8% of 4,514 movements disrupted, departures 24.5% of 4,514 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 LHR21.8% of 4,514 movements1.0% of 4,514 movements0.2% of 4,514 movements
Departures from LHR24.5% of 4,514 movements1.0% of 4,514 movements0.1% of 4,514 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 202688 flights out of 33,15988 × £220 = £19,360
ArrivalsLast 72 months · Jul 2020–Jun 202663 flights out of 21,82963 × £220 = £13,860
DeparturesWhole archive · Jan 2018–Jun 202658 flights out of 33,12458 × £220 = £12,760
DeparturesLast 72 months · Jul 2020–Jun 202646 flights out of 21,79446 × £220 = £10,120
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 / countryGENEVA / SWITZERLAND
Final point codesGVA / LSGG
Great-circle distance754 km
Maximum statutory amount for the band£220
Average operated arrivals per day12.25
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: 4,514; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

21.8% of 4,514 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.0% of 4,514 movements in the same window.

How many delays crossed three hours?

0.2% of 4,514 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?

754 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

We'll email you once; unsubscribe any time.

Related records