UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LCY ↔ ZURICH

In the twelve months from July 2025 to June 2026, 24.8% of 1,990 movements arriving into LCY were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 75.2% of 1,990 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 498 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, 24.8% of 1,990 movements were disrupted and 1.4% of 1,990 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
24.8% of 1,990 movements1.4% of 1,990 movements20.4–52.6 min; N of delayed flights=466–1,1081,990
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: 1.4% of 1,990 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 min23.4%30 min11.8%60 min4.3%120 min0.7%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min23.4% of 1,990 movements4664.3
>30 min11.8% of 1,990 movements2358.5
>60 min4.3% of 1,990 movements8523.4
>120 min0.7% of 1,990 movements14142.1
>180 min0.2% of 1,990 movements4497.5
>360 minno events in 1,990 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 early1025.1%15–1 early75337.8%0–15 late64232.3%16–3023111.6%31–601507.5%61…120713.6%121…180100.5%181…36040.2%>36000.0%D=1,990
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0105; 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 2025, 7.5% of 173 movements. Worst month: Jul 2022, 45.4% of 130 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: 16.4%; sample: 2442018Feb 2018: 30.2%; sample: 232Mar 2018: 16.9%; sample: 249Apr 2018: 25.4%; sample: 232May 2018: 22.0%; sample: 250Jun 2018: 22.2%; sample: 234Jul 2018: 25.1%; sample: 235Aug 2018: 21.9%; sample: 228Sep 2018: 14.5%; sample: 234Oct 2018: 17.1%; sample: 258Nov 2018: suppressed: fewer than twenty movements×Dec 2018: suppressed: fewer than twenty movements×Jan 2019: 22.8%; sample: 2682019Feb 2019: 27.1%; sample: 247Mar 2019: 32.0%; sample: 266Apr 2019: 15.8%; sample: 247May 2019: suppressed: fewer than twenty movements×Jun 2019: suppressed: fewer than twenty movements×Jul 2019: suppressed: fewer than twenty movements×Aug 2019: suppressed: fewer than twenty movements×Sep 2019: suppressed: fewer than twenty movements×Oct 2019: suppressed: fewer than twenty movements×Nov 2019: suppressed: fewer than twenty movements×Dec 2019: suppressed: fewer than twenty movements×Jan 2020: 20.5%; sample: 2392020Feb 2020: 35.0%; sample: 226Mar 2020: 30.6%; sample: 134Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: suppressed: fewer than twenty movements×Sep 2020: suppressed: fewer than twenty movements×Oct 2020: 0.0%; sample: 20Nov 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: no data×May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: no data×Aug 2021: no data×Sep 2021: 10.4%; sample: 67Oct 2021: 12.6%; sample: 95Nov 2021: 8.4%; sample: 107Dec 2021: 25.3%; sample: 95Jan 2022: 10.1%; sample: 992022Feb 2022: 33.1%; sample: 121Mar 2022: 12.2%; sample: 147Apr 2022: 19.1%; sample: 157May 2022: 14.4%; sample: 167Jun 2022: 32.9%; sample: 164Jul 2022: 45.4%; sample: 130Aug 2022: 26.1%; sample: 142Sep 2022: 31.9%; sample: 163Oct 2022: 14.4%; sample: 174Nov 2022: 13.2%; sample: 189Dec 2022: 36.3%; sample: 168Jan 2023: 24.1%; sample: 1582023Feb 2023: 17.2%; sample: 169Mar 2023: 39.5%; sample: 195Apr 2023: 35.0%; sample: 180May 2023: 28.6%; sample: 196Jun 2023: 34.6%; sample: 185Jul 2023: 39.8%; sample: 181Aug 2023: 38.0%; sample: 187Sep 2023: 33.9%; sample: 177Oct 2023: 28.6%; sample: 189Nov 2023: 16.0%; sample: 175Dec 2023: 35.3%; sample: 167Jan 2024: 23.6%; sample: 1402024Feb 2024: 10.6%; sample: 170Mar 2024: 16.6%; sample: 187Apr 2024: 17.8%; sample: 163May 2024: 21.1%; sample: 166Jun 2024: 29.9%; sample: 154Jul 2024: 39.2%; sample: 153Aug 2024: 35.5%; sample: 141Sep 2024: 31.9%; sample: 160Oct 2024: 29.0%; sample: 176Nov 2024: 16.9%; sample: 183Dec 2024: 28.2%; sample: 156Jan 2025: 19.7%; sample: 1522025Feb 2025: 15.5%; sample: 148Mar 2025: 11.6%; sample: 181Apr 2025: 20.2%; sample: 168May 2025: 24.3%; sample: 173Jun 2025: 30.2%; sample: 172Jul 2025: 32.9%; sample: 173Aug 2025: 28.4%; sample: 162Sep 2025: 33.3%; sample: 162Oct 2025: 25.9%; sample: 185Nov 2025: 7.5%; sample: 173Dec 2025: 14.1%; sample: 156Jan 2026: 24.3%; sample: 1442026Feb 2026: 14.4%; sample: 146Mar 2026: 21.1%; sample: 180Apr 2026: 21.1%; sample: 175May 2026: 28.0%; sample: 164Jun 2026: 44.7%; sample: 170Pandemic 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 201816.4% of 244 movements
Feb 201830.2% of 232 movements
Mar 201816.9% of 249 movements
Apr 201825.4% of 232 movements
May 201822.0% of 250 movements
Jun 201822.2% of 234 movements
Jul 201825.1% of 235 movements
Aug 201821.9% of 228 movements
Sep 201814.5% of 234 movements
Oct 201817.1% of 258 movements
Nov 2018suppressed: fewer than twenty movements
Dec 2018suppressed: fewer than twenty movements
Jan 201922.8% of 268 movements
Feb 201927.1% of 247 movements
Mar 201932.0% of 266 movements
Apr 201915.8% of 247 movements
May 2019suppressed: fewer than twenty movements
Jun 2019suppressed: fewer than twenty movements
Jul 2019suppressed: fewer than twenty movements
Aug 2019suppressed: fewer than twenty movements
Sep 2019suppressed: fewer than twenty movements
Oct 2019suppressed: fewer than twenty movements
Nov 2019suppressed: fewer than twenty movements
Dec 2019suppressed: fewer than twenty movements
Jan 202020.5% of 239 movements
Feb 202035.0% of 226 movements
Mar 202030.6% of 134 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 2020suppressed: fewer than twenty movements
Sep 2020suppressed: fewer than twenty movements
Oct 2020no events in 20 movements — small sample, not ranked
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 2021no data
May 2021suppressed: fewer than twenty movements
Jun 2021suppressed: fewer than twenty movements
Jul 2021no data
Aug 2021no data
Sep 202110.4% of 67 movements
Oct 202112.6% of 95 movements
Nov 20218.4% of 107 movements
Dec 202125.3% of 95 movements
Jan 202210.1% of 99 movements
Feb 202233.1% of 121 movements
Mar 202212.2% of 147 movements
Apr 202219.1% of 157 movements
May 202214.4% of 167 movements
Jun 202232.9% of 164 movements
Jul 202245.4% of 130 movements
Aug 202226.1% of 142 movements
Sep 202231.9% of 163 movements
Oct 202214.4% of 174 movements
Nov 202213.2% of 189 movements
Dec 202236.3% of 168 movements
Jan 202324.1% of 158 movements
Feb 202317.2% of 169 movements
Mar 202339.5% of 195 movements
Apr 202335.0% of 180 movements
May 202328.6% of 196 movements
Jun 202334.6% of 185 movements
Jul 202339.8% of 181 movements
Aug 202338.0% of 187 movements
Sep 202333.9% of 177 movements
Oct 202328.6% of 189 movements
Nov 202316.0% of 175 movements
Dec 202335.3% of 167 movements
Jan 202423.6% of 140 movements
Feb 202410.6% of 170 movements
Mar 202416.6% of 187 movements
Apr 202417.8% of 163 movements
May 202421.1% of 166 movements
Jun 202429.9% of 154 movements
Jul 202439.2% of 153 movements
Aug 202435.5% of 141 movements
Sep 202431.9% of 160 movements
Oct 202429.0% of 176 movements
Nov 202416.9% of 183 movements
Dec 202428.2% of 156 movements
Jan 202519.7% of 152 movements
Feb 202515.5% of 148 movements
Mar 202511.6% of 181 movements
Apr 202520.2% of 168 movements
May 202524.3% of 173 movements
Jun 202530.2% of 172 movements
Jul 202532.9% of 173 movements
Aug 202528.4% of 162 movements
Sep 202533.3% of 162 movements
Oct 202525.9% of 185 movements
Nov 20257.5% of 173 movements
Dec 202514.1% of 156 movements
Jan 202624.3% of 144 movements
Feb 202614.4% of 146 movements
Mar 202621.1% of 180 movements
Apr 202621.1% of 175 movements
May 202628.0% of 164 movements
Jun 202644.7% of 170 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 2022Arrivals45.4% of 130 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures74.6% of 130 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals38.0% of 187 movements28.4% across 2,100 flightsreturned after 3 months
NATS system failure · Aug 2023Departures61.2% of 188 movements46.6% across 2,111 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals11.6% of 181 movements25.1% across 1,939 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures22.1% of 181 movements43.1% across 1,951 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, 39.2% of arrivals were disrupted, measured across 5 Julys in the archive. November has been the calmest, at 14.6% across 4 Novembers.

Even July has ranged from 25.1% to 45.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201922.8% of 268 movements27.1% of 247 movements32.0% of 266 movements15.8% of 247 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 movementssuppressed: fewer than twenty movements202020.5% of 239 movements35.0% of 226 movements30.6% of 134 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 20 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano data10.4% of 67 movements12.6% of 95 movements8.4% of 107 movements25.3% of 95 movements202210.1% of 99 movements33.1% of 121 movements12.2% of 147 movements19.1% of 157 movements14.4% of 167 movements32.9% of 164 movements45.4% of 130 movements26.1% of 142 movements31.9% of 163 movements14.4% of 174 movements13.2% of 189 movements36.3% of 168 movements202324.1% of 158 movements17.2% of 169 movements39.5% of 195 movements35.0% of 180 movements28.6% of 196 movements34.6% of 185 movements39.8% of 181 movements38.0% of 187 movements33.9% of 177 movements28.6% of 189 movements16.0% of 175 movements35.3% of 167 movements202423.6% of 140 movements10.6% of 170 movements16.6% of 187 movements17.8% of 163 movements21.1% of 166 movements29.9% of 154 movements39.2% of 153 movements35.5% of 141 movements31.9% of 160 movements29.0% of 176 movements16.9% of 183 movements28.2% of 156 movements202519.7% of 152 movements15.5% of 148 movements11.6% of 181 movements20.2% of 168 movements24.3% of 173 movements30.2% of 172 movements32.9% of 173 movements28.4% of 162 movements33.3% of 162 movements25.9% of 185 movements7.5% of 173 movements14.1% of 156 movements202624.3% of 144 movements14.4% of 146 movements21.1% of 180 movements21.1% of 175 movements28.0% of 164 movements44.7% of 170 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.8%10.1–24.3%7 months, 1,205 flights
Feb17.2%10.6–33.1%7 months, 1,233 flights
Mar16.9%11.6–39.5%7 months, 1,405 flights
Apr20.2%15.8–35.0%7 months, 1,322 flights
May23.1%14.4–28.6%6 months, 1,116 flights
Jun31.6%22.2–44.7%6 months, 1,079 flights
Jul39.2%25.1–45.4%5 months, 872 flights
Aug28.4%21.9–38.0%5 months, 860 flights
Sep31.9%14.5–33.9%5 months, 896 flights
Oct25.9%14.4–29.0%5 months, 982 flights
Nov14.6%7.5–16.9%4 months, 720 flights
Dec31.8%14.1–36.3%4 months, 647 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 20.5% of 1,185 movements, Ba Cityflyer 31.1% of 805 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 optionBa Cityflyer31.1% of 805 flightsSwiss Airlines20.5% of 1,185 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ba Cityflyer80531.1% of 805 movements0.9% of 805 movements0.5% of 805 movementsdescriptive comparison
Helvetic Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Swiss Airlines1,18520.5% of 1,185 movements1.7% of 1,185 movementsno events in 1,185 movementsdescriptive comparison

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 24.8% of 1,990 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 flightsLgw ↔ Zurich32.8% of 1,110 flightsLhr ↔ Zurich22.9% of 4,273 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
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
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 LCY ran 24.8% of 1,990 movements disrupted, departures 46.4% of 2,007 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 LCY24.8% of 1,990 movements1.4% of 1,990 movements0.2% of 1,990 movements
Departures from LCY46.4% of 2,007 movements1.9% of 2,007 movements0.2% of 2,007 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 202618 flights out of 13,40118 × £220 = £3,960
ArrivalsLast 72 months · Jul 2020–Jun 202613 flights out of 9,30713 × £220 = £2,860
DeparturesWhole archive · Jan 2018–Jun 202620 flights out of 13,50120 × £220 = £4,400
DeparturesLast 72 months · Jul 2020–Jun 202613 flights out of 9,36513 × £220 = £2,860
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 airportLONDON CITY · LCY
Final point / countryZURICH / SWITZERLAND
Final point codesZRH / LSZH
Great-circle distance760 km
Maximum statutory amount for the band£220
Average operated arrivals per day5.38
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 archive88

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: 1,990; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

24.8% of 1,990 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.4% of 1,990 movements in the same window.

How many delays crossed three hours?

0.2% of 1,990 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?

760 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?

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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

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