UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ ZURICH

In the twelve months from July 2025 to June 2026, 22.9% of 4,273 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, 77.1% of 4,273 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 1,068 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, 22.9% of 4,273 movements were disrupted and 0.8% of 4,273 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
22.9% of 4,273 movements0.8% of 4,273 movements17.7–48.3 min; N of delayed flights=946–2,3374,273
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: 0.8% of 4,273 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 min22.1%30 min9.7%60 min2.7%120 min0.3%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.1% of 4,273 movements9464.5
>30 min9.7% of 4,273 movements41610.3
>60 min2.7% of 4,273 movements11537.2
>120 min0.3% of 4,273 movements13328.7
>180 min0.1% of 4,273 movements41,068.2
>360 minno events in 4,273 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 early3959.2%15–1 early1,50735.3%0–15 late1,39132.6%16–3053012.4%31–603017.0%61…1201022.4%121…18090.2%181…36040.1%>36000.0%D=4,273
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0048; 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, 1.0% of 104 movements. Worst month: Sep 2024, 55.2% of 339 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: 25.1%; sample: 3942018Feb 2018: 29.0%; sample: 359Mar 2018: 23.6%; sample: 394Apr 2018: 24.7%; sample: 380May 2018: 22.4%; sample: 392Jun 2018: 27.6%; sample: 377Jul 2018: 27.1%; sample: 387Aug 2018: 24.2%; sample: 389Sep 2018: 21.9%; sample: 374Oct 2018: 22.0%; sample: 395Nov 2018: 23.0%; sample: 369Dec 2018: 35.8%; sample: 394Jan 2019: 20.3%; sample: 3802019Feb 2019: 23.0%; sample: 369Mar 2019: 34.7%; sample: 403Apr 2019: 19.7%; sample: 376May 2019: 18.9%; sample: 391Jun 2019: 31.0%; sample: 374Jul 2019: 29.5%; sample: 390Aug 2019: 30.1%; sample: 389Sep 2019: 27.0%; sample: 363Oct 2019: 25.4%; sample: 398Nov 2019: 12.3%; sample: 375Dec 2019: 23.6%; sample: 398Jan 2020: 13.2%; sample: 3942020Feb 2020: 45.6%; sample: 395Mar 2020: 7.3%; sample: 246Apr 2020: 12.0%; sample: 25May 2020: 13.6%; sample: 22Jun 2020: 2.7%; sample: 37Jul 2020: 5.1%; sample: 99Aug 2020: 3.3%; sample: 123Sep 2020: 1.0%; sample: 104Oct 2020: 5.1%; sample: 98Nov 2020: 14.0%; sample: 50Dec 2020: 31.0%; sample: 71Jan 2021: 28.3%; sample: 602021Feb 2021: 27.8%; sample: 36Mar 2021: 14.3%; sample: 42Apr 2021: 26.8%; sample: 56May 2021: 11.9%; sample: 67Jun 2021: 7.9%; sample: 76Jul 2021: 21.1%; sample: 71Aug 2021: 27.9%; sample: 122Sep 2021: 18.5%; sample: 157Oct 2021: 12.9%; sample: 209Nov 2021: 10.3%; sample: 214Dec 2021: 12.4%; sample: 194Jan 2022: 14.1%; sample: 1922022Feb 2022: 28.3%; sample: 223Mar 2022: 14.9%; sample: 249Apr 2022: 26.4%; sample: 322May 2022: 24.0%; sample: 308Jun 2022: 33.2%; sample: 289Jul 2022: 30.0%; sample: 263Aug 2022: 24.7%; sample: 283Sep 2022: 47.2%; sample: 282Oct 2022: 26.8%; sample: 306Nov 2022: 14.4%; sample: 374Dec 2022: 45.8%; sample: 380Jan 2023: 31.4%; sample: 3982023Feb 2023: 25.0%; sample: 372Mar 2023: 43.4%; sample: 394Apr 2023: 35.9%; sample: 345May 2023: 35.6%; sample: 357Jun 2023: 45.9%; sample: 333Jul 2023: 50.1%; sample: 345Aug 2023: 41.6%; sample: 341Sep 2023: 46.3%; sample: 335Oct 2023: 36.8%; sample: 361Nov 2023: 33.0%; sample: 382Dec 2023: 54.3%; sample: 385Jan 2024: 30.7%; sample: 3882024Feb 2024: 24.6%; sample: 382Mar 2024: 26.9%; sample: 402Apr 2024: 38.5%; sample: 348May 2024: 35.9%; sample: 351Jun 2024: 46.5%; sample: 327Jul 2024: 48.3%; sample: 348Aug 2024: 42.2%; sample: 346Sep 2024: 55.2%; sample: 339Oct 2024: 34.5%; sample: 359Nov 2024: 21.6%; sample: 370Dec 2024: 38.7%; sample: 401Jan 2025: 23.8%; sample: 4202025Feb 2025: 8.8%; sample: 386Mar 2025: 15.6%; sample: 417Apr 2025: 21.9%; sample: 333May 2025: 21.4%; sample: 336Jun 2025: 31.7%; sample: 322Jul 2025: 37.2%; sample: 333Aug 2025: 26.5%; sample: 328Sep 2025: 41.5%; sample: 323Oct 2025: 26.5%; sample: 347Nov 2025: 11.9%; sample: 395Dec 2025: 15.0%; sample: 413Jan 2026: 26.7%; sample: 4092026Feb 2026: 11.2%; sample: 374Mar 2026: 9.9%; sample: 405Apr 2026: 20.8%; sample: 318May 2026: 22.4%; sample: 321Jun 2026: 34.2%; sample: 307Pandemic 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 201825.1% of 394 movements
Feb 201829.0% of 359 movements
Mar 201823.6% of 394 movements
Apr 201824.7% of 380 movements
May 201822.4% of 392 movements
Jun 201827.6% of 377 movements
Jul 201827.1% of 387 movements
Aug 201824.2% of 389 movements
Sep 201821.9% of 374 movements
Oct 201822.0% of 395 movements
Nov 201823.0% of 369 movements
Dec 201835.8% of 394 movements
Jan 201920.3% of 380 movements
Feb 201923.0% of 369 movements
Mar 201934.7% of 403 movements
Apr 201919.7% of 376 movements
May 201918.9% of 391 movements
Jun 201931.0% of 374 movements
Jul 201929.5% of 390 movements
Aug 201930.1% of 389 movements
Sep 201927.0% of 363 movements
Oct 201925.4% of 398 movements
Nov 201912.3% of 375 movements
Dec 201923.6% of 398 movements
Jan 202013.2% of 394 movements
Feb 202045.6% of 395 movements
Mar 20207.3% of 246 movements
Apr 202012.0% of 25 movements — small sample, not ranked
May 202013.6% of 22 movements — small sample, not ranked
Jun 20202.7% of 37 movements — small sample, not ranked
Jul 20205.1% of 99 movements
Aug 20203.3% of 123 movements
Sep 20201.0% of 104 movements
Oct 20205.1% of 98 movements
Nov 202014.0% of 50 movements
Dec 202031.0% of 71 movements
Jan 202128.3% of 60 movements
Feb 202127.8% of 36 movements — small sample, not ranked
Mar 202114.3% of 42 movements — small sample, not ranked
Apr 202126.8% of 56 movements
May 202111.9% of 67 movements
Jun 20217.9% of 76 movements
Jul 202121.1% of 71 movements
Aug 202127.9% of 122 movements
Sep 202118.5% of 157 movements
Oct 202112.9% of 209 movements
Nov 202110.3% of 214 movements
Dec 202112.4% of 194 movements
Jan 202214.1% of 192 movements
Feb 202228.3% of 223 movements
Mar 202214.9% of 249 movements
Apr 202226.4% of 322 movements
May 202224.0% of 308 movements
Jun 202233.2% of 289 movements
Jul 202230.0% of 263 movements
Aug 202224.7% of 283 movements
Sep 202247.2% of 282 movements
Oct 202226.8% of 306 movements
Nov 202214.4% of 374 movements
Dec 202245.8% of 380 movements
Jan 202331.4% of 398 movements
Feb 202325.0% of 372 movements
Mar 202343.4% of 394 movements
Apr 202335.9% of 345 movements
May 202335.6% of 357 movements
Jun 202345.9% of 333 movements
Jul 202350.1% of 345 movements
Aug 202341.6% of 341 movements
Sep 202346.3% of 335 movements
Oct 202336.8% of 361 movements
Nov 202333.0% of 382 movements
Dec 202354.3% of 385 movements
Jan 202430.7% of 388 movements
Feb 202424.6% of 382 movements
Mar 202426.9% of 402 movements
Apr 202438.5% of 348 movements
May 202435.9% of 351 movements
Jun 202446.5% of 327 movements
Jul 202448.3% of 348 movements
Aug 202442.2% of 346 movements
Sep 202455.2% of 339 movements
Oct 202434.5% of 359 movements
Nov 202421.6% of 370 movements
Dec 202438.7% of 401 movements
Jan 202523.8% of 420 movements
Feb 20258.8% of 386 movements
Mar 202515.6% of 417 movements
Apr 202521.9% of 333 movements
May 202521.4% of 336 movements
Jun 202531.7% of 322 movements
Jul 202537.2% of 333 movements
Aug 202526.5% of 328 movements
Sep 202541.5% of 323 movements
Oct 202526.5% of 347 movements
Nov 202511.9% of 395 movements
Dec 202515.0% of 413 movements
Jan 202626.7% of 409 movements
Feb 202611.2% of 374 movements
Mar 20269.9% of 405 movements
Apr 202620.8% of 318 movements
May 202622.4% of 321 movements
Jun 202634.2% of 307 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 2020Arrivals2.7% of 37 movements — small sample, not ranked22.5% across 3,769 flightsreturned the next month
Pandemic regime · Jun 2020Departures10.8% of 37 movements — small sample, not ranked27.9% across 3,772 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals30.0% of 263 movements20.3% across 2,550 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures62.0% of 263 movements33.3% across 2,539 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals41.6% of 341 movements35.5% across 4,169 flightsreturned after 3 months
NATS system failure · Aug 2023Departures57.3% of 344 movements48.6% across 4,164 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals15.6% of 417 movements35.1% across 4,397 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures24.8% of 416 movements41.2% across 4,397 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?

September has historically been the hardest month on this route: in a typical September, 43.9% of arrivals were disrupted, measured across 6 Septembers in the archive. November has been the calmest, at 18.0% across 6 Novembers.

Even September has ranged from 21.9% to 55.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201920.3% of 380 movements23.0% of 369 movements34.7% of 403 movements19.7% of 376 movements18.9% of 391 movements31.0% of 374 movements29.5% of 390 movements30.1% of 389 movements27.0% of 363 movements25.4% of 398 movements12.3% of 375 movements23.6% of 398 movements202013.2% of 394 movements45.6% of 395 movements7.3% of 246 movements12.0% of 25 movements †13.6% of 22 movements †2.7% of 37 movements †5.1% of 99 movements3.3% of 123 movements1.0% of 104 movements5.1% of 98 movements14.0% of 50 movements31.0% of 71 movements202128.3% of 60 movements27.8% of 36 movements †14.3% of 42 movements †26.8% of 56 movements11.9% of 67 movements7.9% of 76 movements21.1% of 71 movements27.9% of 122 movements18.5% of 157 movements12.9% of 209 movements10.3% of 214 movements12.4% of 194 movements202214.1% of 192 movements28.3% of 223 movements14.9% of 249 movements26.4% of 322 movements24.0% of 308 movements33.2% of 289 movements30.0% of 263 movements24.7% of 283 movements47.2% of 282 movements26.8% of 306 movements14.4% of 374 movements45.8% of 380 movements202331.4% of 398 movements25.0% of 372 movements43.4% of 394 movements35.9% of 345 movements35.6% of 357 movements45.9% of 333 movements50.1% of 345 movements41.6% of 341 movements46.3% of 335 movements36.8% of 361 movements33.0% of 382 movements54.3% of 385 movements202430.7% of 388 movements24.6% of 382 movements26.9% of 402 movements38.5% of 348 movements35.9% of 351 movements46.5% of 327 movements48.3% of 348 movements42.2% of 346 movements55.2% of 339 movements34.5% of 359 movements21.6% of 370 movements38.7% of 401 movements202523.8% of 420 movements8.8% of 386 movements15.6% of 417 movements21.9% of 333 movements21.4% of 336 movements31.7% of 322 movements37.2% of 333 movements26.5% of 328 movements41.5% of 323 movements26.5% of 347 movements11.9% of 395 movements15.0% of 413 movements202626.7% of 409 movements11.2% of 374 movements9.9% of 405 movements20.8% of 318 movements22.4% of 321 movements34.2% of 307 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.1%14.1–31.4%7 months, 2,581 flights
Feb24.6%8.8–29.0%7 months, 2,465 flights
Mar23.6%9.9–43.4%7 months, 2,664 flights
Apr24.7%19.7–38.5%7 months, 2,422 flights
May22.4%18.9–35.9%7 months, 2,456 flights
Jun33.2%27.6–46.5%7 months, 2,329 flights
Jul33.6%27.1–50.1%6 months, 2,066 flights
Aug28.3%24.2–42.2%6 months, 2,076 flights
Sep43.9%21.9–55.2%6 months, 2,016 flights
Oct26.7%22.0–36.8%6 months, 2,166 flights
Nov18.0%11.9–33.0%6 months, 2,265 flights
Dec37.2%15.0–54.3%6 months, 2,371 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: Swiss Airlines 22.1% of 2,556 movements, British Airways 24.1% of 1,712 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 optionBritish Airways24.1% of 1,712 flightsSwiss Airlines22.1% of 2,556 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
American Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways1,71224.1% of 1,712 movements1.0% of 1,712 movements0.2% of 1,712 movementsdescriptive comparison
Edelweiss Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Swiss Airlines2,55622.1% of 2,556 movements0.7% of 2,556 movements0.0% of 2,556 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, LCY had the lowest disruption share at 24.8% of 1,990 movements and LTN the highest at 47.3% of 260 movements. This route sits at 22.9% of 4,273 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 ↔ Zurich41.8% of 409 flightsBrs ↔ Zurich27.1% of 107 flightsEdi ↔ Zurich34.2% of 486 flightsLcy ↔ Zurich24.8% of 1,990 flightsLgw ↔ Zurich32.8% of 1,110 flightsLtn ↔ Zurich47.3% of 260 flightsMan ↔ Zurich37.5% of 1,085 flightsStn ↔ Zurich †42.9% of 28 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Zurich40941.8% of 409 movements1.0% of 409 movements0.2% of 409 movementsdescriptive comparison
Boh ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Zurich10727.1% of 107 movementsno events in 107 movementsno events in 107 movementsdescriptive comparison
Cwl ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Zurich48634.2% of 486 movements1.0% of 486 movements0.4% of 486 movementsdescriptive comparison
Ema ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Zurich1,99024.8% of 1,990 movements1.4% of 1,990 movements0.2% of 1,990 movementsdescriptive comparison
Lgw ↔ Zurich1,11032.8% of 1,110 movements0.8% of 1,110 movements0.1% of 1,110 movementsdescriptive comparison
Lpl ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Zurich26047.3% of 260 movements1.2% of 260 movementsno events in 260 movementsdescriptive comparison
Man ↔ Zurich1,08537.5% of 1,085 movements0.6% of 1,085 movements0.2% of 1,085 movementsdescriptive comparison
Mme ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Zurichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Zurich2842.9% of 28 movements — small sample, not rankedno events in 28 movements — small sample, not rankedno events in 28 movements — small sample, not rankedsmall sample; not ranked

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 22.9% of 4,273 movements disrupted, departures 28.7% of 4,269 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 LHR22.9% of 4,273 movements0.8% of 4,273 movements0.1% of 4,273 movements
Departures from LHR28.7% of 4,269 movements0.8% of 4,269 movements0.0% of 4,269 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 30,84539 × £220 = £8,580
ArrivalsLast 72 months · Jul 2020–Jun 202621 flights out of 20,51621 × £220 = £4,620
DeparturesWhole archive · Jan 2018–Jun 202634 flights out of 30,82034 × £220 = £7,480
DeparturesLast 72 months · Jul 2020–Jun 202626 flights out of 20,49026 × £220 = £5,720
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 / countryZURICH / SWITZERLAND
Final point codesZRH / LSZH
Great-circle distance788 km
Maximum statutory amount for the band£220
Average operated arrivals per day11.61
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: 4,273; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

22.9% of 4,273 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.8% of 4,273 movements in the same window.

How many delays crossed three hours?

0.1% of 4,273 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?

788 km, great-circle.

Can compensation entitlement be established here?

No. The cause and the circumstances of an individual flight are unknown. Official CAA conditions.

Why do some cells say "no data"?

That month is absent from the published series. Small cells carry a separate "suppressed" marker; a gap is never replaced by a zero.

How this was calculated

Dataset version, input hashes and reconstruction rules

Dataset version: 396da8dde2874f14; method route-record-v2.1.

Versioned register of every number and the entity map · Input hashes · Correction log · Reconstruction and formulas.

Reconstruction: integer counts inside the rounding bounds of shares of D, summing to M. Ambiguity is preserved as a range of feasible counts; non-convergence stays in quarantine. The map of codes and coordinates is pinned by hash alongside the data. Raw CSV files are not included in the published output.

Your trip has already gone wrong — what now?

The official route to complain

Contact the airline first, then the relevant ADR body or the CAA. The right to care is assessed separately from compensation; time limits and circumstances are checked case by case. CAA: how to complain.

Reconstruction and formulas

Open the versioned claim register

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