UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

MAN ↔ ZURICH

In the twelve months from July 2025 to June 2026, 37.5% of 1,085 movements arriving into MAN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 62.5% of 1,085 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 542 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, 37.5% of 1,085 movements were disrupted and 0.6% of 1,085 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
37.5% of 1,085 movements0.6% of 1,085 movements22.2–47.9 min; N of delayed flights=400–8121,085
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: 0.6% of 1,085 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 min36.9%30 min17.2%60 min5.2%120 min0.8%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min36.9% of 1,085 movements4002.7
>30 min17.2% of 1,085 movements1875.8
>60 min5.2% of 1,085 movements5619.4
>120 min0.8% of 1,085 movements9120.6
>180 min0.2% of 1,085 movements2542.5
>360 minno events in 1,085 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 early343.1%15–1 early23221.4%0–15 late41238.0%16–3021319.6%31–6013112.1%61…120474.3%121…18070.6%181…36020.2%>36000.0%D=1,085
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0058; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Nov 2019, 4.9% of 61 movements. Worst month: Sep 2023, 65.0% of 60 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: 15.9%; sample: 632018Feb 2018: 20.0%; sample: 60Mar 2018: 10.2%; sample: 59Apr 2018: 15.7%; sample: 51May 2018: 18.5%; sample: 54Jun 2018: 31.4%; sample: 51Jul 2018: 29.8%; sample: 57Aug 2018: 29.3%; sample: 58Sep 2018: 30.0%; sample: 50Oct 2018: 16.4%; sample: 55Nov 2018: 19.7%; sample: 61Dec 2018: 29.7%; sample: 64Jan 2019: 28.6%; sample: 632019Feb 2019: 23.3%; sample: 60Mar 2019: 25.8%; sample: 62Apr 2019: 27.6%; sample: 58May 2019: 24.6%; sample: 61Jun 2019: 30.0%; sample: 60Jul 2019: 33.9%; sample: 62Aug 2019: 30.6%; sample: 62Sep 2019: 35.0%; sample: 60Oct 2019: 19.7%; sample: 61Nov 2019: 4.9%; sample: 61Dec 2019: 12.7%; sample: 63Jan 2020: 14.3%; sample: 632020Feb 2020: 21.9%; sample: 64Mar 2020: 19.5%; sample: 41Apr 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: 4.3%; sample: 23Sep 2020: suppressed: fewer than twenty movements×Oct 2020: suppressed: fewer than twenty movements×Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: 25.7%; sample: 35Oct 2021: 20.0%; sample: 35Nov 2021: 14.8%; sample: 27Dec 2021: 16.7%; sample: 36Jan 2022: 30.0%; sample: 302022Feb 2022: 38.9%; sample: 36Mar 2022: 9.1%; sample: 33Apr 2022: 23.3%; sample: 43May 2022: 11.4%; sample: 44Jun 2022: 34.0%; sample: 47Jul 2022: 18.8%; sample: 48Aug 2022: 8.2%; sample: 49Sep 2022: 32.0%; sample: 50Oct 2022: 28.6%; sample: 49Nov 2022: 11.3%; sample: 53Dec 2022: 43.3%; sample: 60Jan 2023: 22.6%; sample: 532023Feb 2023: 18.5%; sample: 54Mar 2023: 46.8%; sample: 62Apr 2023: 34.5%; sample: 55May 2023: 25.9%; sample: 58Jun 2023: 21.1%; sample: 57Jul 2023: 45.6%; sample: 57Aug 2023: 43.5%; sample: 62Sep 2023: 65.0%; sample: 60Oct 2023: 48.4%; sample: 62Nov 2023: 42.6%; sample: 61Dec 2023: 48.4%; sample: 64Jan 2024: 34.4%; sample: 642024Feb 2024: 32.8%; sample: 58Mar 2024: 19.4%; sample: 62Apr 2024: 58.3%; sample: 60May 2024: 17.7%; sample: 62Jun 2024: 32.2%; sample: 59Jul 2024: 61.3%; sample: 62Aug 2024: 50.0%; sample: 62Sep 2024: 48.3%; sample: 60Oct 2024: 23.8%; sample: 63Nov 2024: 24.1%; sample: 79Dec 2024: 36.2%; sample: 94Jan 2025: 39.1%; sample: 872025Feb 2025: 26.2%; sample: 80Mar 2025: 12.9%; sample: 85Apr 2025: 30.6%; sample: 85May 2025: 39.3%; sample: 84Jun 2025: 48.2%; sample: 83Jul 2025: 60.2%; sample: 83Aug 2025: 42.9%; sample: 84Sep 2025: 54.3%; sample: 81Oct 2025: 41.7%; sample: 84Nov 2025: 19.8%; sample: 81Dec 2025: 24.4%; sample: 90Jan 2026: 30.7%; sample: 752026Feb 2026: 31.0%; sample: 84Mar 2026: 25.0%; sample: 100Apr 2026: 31.8%; sample: 107May 2026: 40.0%; sample: 110Jun 2026: 49.1%; sample: 106Pandemic 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 201815.9% of 63 movements
Feb 201820.0% of 60 movements
Mar 201810.2% of 59 movements
Apr 201815.7% of 51 movements
May 201818.5% of 54 movements
Jun 201831.4% of 51 movements
Jul 201829.8% of 57 movements
Aug 201829.3% of 58 movements
Sep 201830.0% of 50 movements
Oct 201816.4% of 55 movements
Nov 201819.7% of 61 movements
Dec 201829.7% of 64 movements
Jan 201928.6% of 63 movements
Feb 201923.3% of 60 movements
Mar 201925.8% of 62 movements
Apr 201927.6% of 58 movements
May 201924.6% of 61 movements
Jun 201930.0% of 60 movements
Jul 201933.9% of 62 movements
Aug 201930.6% of 62 movements
Sep 201935.0% of 60 movements
Oct 201919.7% of 61 movements
Nov 20194.9% of 61 movements
Dec 201912.7% of 63 movements
Jan 202014.3% of 63 movements
Feb 202021.9% of 64 movements
Mar 202019.5% of 41 movements — small sample, not ranked
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 20204.3% of 23 movements — small sample, not ranked
Sep 2020suppressed: fewer than twenty movements
Oct 2020suppressed: fewer than twenty movements
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 202125.7% of 35 movements — small sample, not ranked
Oct 202120.0% of 35 movements — small sample, not ranked
Nov 202114.8% of 27 movements — small sample, not ranked
Dec 202116.7% of 36 movements — small sample, not ranked
Jan 202230.0% of 30 movements — small sample, not ranked
Feb 202238.9% of 36 movements — small sample, not ranked
Mar 20229.1% of 33 movements — small sample, not ranked
Apr 202223.3% of 43 movements — small sample, not ranked
May 202211.4% of 44 movements — small sample, not ranked
Jun 202234.0% of 47 movements — small sample, not ranked
Jul 202218.8% of 48 movements — small sample, not ranked
Aug 20228.2% of 49 movements — small sample, not ranked
Sep 202232.0% of 50 movements
Oct 202228.6% of 49 movements — small sample, not ranked
Nov 202211.3% of 53 movements
Dec 202243.3% of 60 movements
Jan 202322.6% of 53 movements
Feb 202318.5% of 54 movements
Mar 202346.8% of 62 movements
Apr 202334.5% of 55 movements
May 202325.9% of 58 movements
Jun 202321.1% of 57 movements
Jul 202345.6% of 57 movements
Aug 202343.5% of 62 movements
Sep 202365.0% of 60 movements
Oct 202348.4% of 62 movements
Nov 202342.6% of 61 movements
Dec 202348.4% of 64 movements
Jan 202434.4% of 64 movements
Feb 202432.8% of 58 movements
Mar 202419.4% of 62 movements
Apr 202458.3% of 60 movements
May 202417.7% of 62 movements
Jun 202432.2% of 59 movements
Jul 202461.3% of 62 movements
Aug 202450.0% of 62 movements
Sep 202448.3% of 60 movements
Oct 202423.8% of 63 movements
Nov 202424.1% of 79 movements
Dec 202436.2% of 94 movements
Jan 202539.1% of 87 movements
Feb 202526.2% of 80 movements
Mar 202512.9% of 85 movements
Apr 202530.6% of 85 movements
May 202539.3% of 84 movements
Jun 202548.2% of 83 movements
Jul 202560.2% of 83 movements
Aug 202542.9% of 84 movements
Sep 202554.3% of 81 movements
Oct 202541.7% of 84 movements
Nov 202519.8% of 81 movements
Dec 202524.4% of 90 movements
Jan 202630.7% of 75 movements
Feb 202631.0% of 84 movements
Mar 202625.0% of 100 movements
Apr 202631.8% of 107 movements
May 202640.0% of 110 movements
Jun 202649.1% of 106 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 2022Arrivals18.8% of 48 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures43.8% of 48 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals43.5% of 62 movements28.2% across 657 flightsreturned after 7 months
NATS system failure · Aug 2023Departures77.4% of 62 movements44.5% across 654 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals12.9% of 85 movements36.4% across 830 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures24.7% of 85 movements50.8% across 830 flightsreturned after 2 months
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, 41.7% of arrivals were disrupted, measured across 6 Septembers in the archive. March has been the calmest, at 19.4% across 7 Marchs.

Even September has ranged from 30.0% to 65.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201928.6% of 63 movements23.3% of 60 movements25.8% of 62 movements27.6% of 58 movements24.6% of 61 movements30.0% of 60 movements33.9% of 62 movements30.6% of 62 movements35.0% of 60 movements19.7% of 61 movements4.9% of 61 movements12.7% of 63 movements202014.3% of 63 movements21.9% of 64 movements19.5% of 41 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements4.3% of 23 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements25.7% of 35 movements †20.0% of 35 movements †14.8% of 27 movements †16.7% of 36 movements †202230.0% of 30 movements †38.9% of 36 movements †9.1% of 33 movements †23.3% of 43 movements †11.4% of 44 movements †34.0% of 47 movements †18.8% of 48 movements †8.2% of 49 movements †32.0% of 50 movements28.6% of 49 movements †11.3% of 53 movements43.3% of 60 movements202322.6% of 53 movements18.5% of 54 movements46.8% of 62 movements34.5% of 55 movements25.9% of 58 movements21.1% of 57 movements45.6% of 57 movements43.5% of 62 movements65.0% of 60 movements48.4% of 62 movements42.6% of 61 movements48.4% of 64 movements202434.4% of 64 movements32.8% of 58 movements19.4% of 62 movements58.3% of 60 movements17.7% of 62 movements32.2% of 59 movements61.3% of 62 movements50.0% of 62 movements48.3% of 60 movements23.8% of 63 movements24.1% of 79 movements36.2% of 94 movements202539.1% of 87 movements26.2% of 80 movements12.9% of 85 movements30.6% of 85 movements39.3% of 84 movements48.2% of 83 movements60.2% of 83 movements42.9% of 84 movements54.3% of 81 movements41.7% of 84 movements19.8% of 81 movements24.4% of 90 movements202630.7% of 75 movements31.0% of 84 movements25.0% of 100 movements31.8% of 107 movements40.0% of 110 movements49.1% of 106 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan30.0%15.9–39.1%7 months, 435 flights
Feb26.2%18.5–38.9%7 months, 432 flights
Mar19.4%9.1–46.8%7 months, 463 flights
Apr30.6%15.7–58.3%7 months, 459 flights
May24.6%11.4–40.0%7 months, 473 flights
Jun32.2%21.1–49.1%7 months, 463 flights
Jul39.7%18.8–61.3%6 months, 369 flights
Aug36.8%8.2–50.0%6 months, 377 flights
Sep41.7%30.0–65.0%6 months, 361 flights
Oct26.2%16.4–48.4%6 months, 374 flights
Nov19.7%4.9–42.6%6 months, 396 flights
Dec32.9%12.7–48.4%6 months, 435 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 35.1% of 865 movements, Easyjet Uk 46.8% of 220 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 optionEasyjet Uk46.8% of 220 flightsSwiss Airlines35.1% of 865 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Uk22046.8% of 220 movements2.7% of 220 movements0.5% of 220 movementsdescriptive comparison
Germania Fluggesellschaftsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Swiss Airlines86535.1% of 865 movements0.1% of 865 movements0.1% of 865 movementsdescriptive comparison
Titan Airwayssuppressed: 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, LHR had the lowest disruption share at 22.9% of 4,273 movements and LTN the highest at 47.3% of 260 movements. This route sits at 37.5% of 1,085 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 flightsLhr ↔ Zurich22.9% of 4,273 flightsLtn ↔ Zurich47.3% of 260 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
Lhr ↔ Zurich4,27322.9% of 4,273 movements0.8% of 4,273 movements0.1% of 4,273 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
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 MAN ran 37.5% of 1,085 movements disrupted, departures 50.1% of 1,085 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 MAN37.5% of 1,085 movements0.6% of 1,085 movements0.2% of 1,085 movements
Departures from MAN50.1% of 1,085 movements0.8% of 1,085 movements0.2% of 1,085 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 20267 flights out of 5,4587 × £220 = £1,540
ArrivalsLast 72 months · Jul 2020–Jun 20266 flights out of 3,8716 × £220 = £1,320
DeparturesWhole archive · Jan 2018–Jun 20268 flights out of 5,4548 × £220 = £1,760
DeparturesLast 72 months · Jul 2020–Jun 20266 flights out of 3,8696 × £220 = £1,320
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 airportMANCHESTER · MAN
Final point / countryZURICH / SWITZERLAND
Final point codesZRH / LSZH
Great-circle distance1,007 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.95
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 archive99

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: 1,085; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

37.5% of 1,085 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.6% of 1,085 movements in the same window.

How many delays crossed three hours?

0.2% of 1,085 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?

1,007 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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