UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

MAN ↔ ROME CIAMPINO

In the twelve months from July 2025 to June 2026, 16.9% of 700 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, 83.1% of 700 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 350 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, 16.9% of 700 movements were disrupted and 0.1% of 700 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
16.9% of 700 movements0.1% of 700 movements23.4–53.9 min; N of delayed flights=117–240700
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: 0.1% of 700 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 min16.7%30 min9.6%60 min3.0%120 min0.7%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min16.7% of 700 movements1176.0
>30 min9.6% of 700 movements6710.4
>60 min3.0% of 700 movements2133.3
>120 min0.7% of 700 movements5140.0
>180 min0.3% of 700 movements2350.0
>360 minno events in 700 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 early23133.0%15–1 early22832.6%0–15 late12317.6%16–30507.1%31–60466.6%61…120162.3%121…18030.4%181…36020.3%>36000.0%D=700
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0208; 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: Dec 2025, 3.7% of 54 movements. Worst month: May 2024, 46.0% of 50 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: 48.6%; sample: 352018Feb 2018: 40.6%; sample: 32Mar 2018: 35.1%; sample: 37Apr 2018: 23.3%; sample: 43May 2018: 36.4%; sample: 44Jun 2018: 53.5%; sample: 43Jul 2018: 63.6%; sample: 44Aug 2018: 40.0%; sample: 45Sep 2018: 56.8%; sample: 44Oct 2018: 41.5%; sample: 41Nov 2018: 10.0%; sample: 30Dec 2018: 46.7%; sample: 30Jan 2019: 35.5%; sample: 312019Feb 2019: 21.4%; sample: 28Mar 2019: 29.0%; sample: 31Apr 2019: 19.0%; sample: 42May 2019: 24.4%; sample: 45Jun 2019: 32.6%; sample: 43Jul 2019: 34.1%; sample: 44Aug 2019: 38.6%; sample: 44Sep 2019: 30.2%; sample: 43Oct 2019: 19.0%; sample: 42Nov 2019: 18.5%; sample: 27Dec 2019: 30.0%; sample: 30Jan 2020: 14.3%; sample: 282020Feb 2020: 24.1%; sample: 29Mar 2020: suppressed: fewer than twenty movements×Apr 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: 3.2%; sample: 31Sep 2020: 6.7%; sample: 30Oct 2020: 3.7%; sample: 27Nov 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: no data×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: 12.5%; sample: 24Aug 2021: 20.0%; sample: 30Sep 2021: 23.3%; sample: 30Oct 2021: 25.8%; sample: 31Nov 2021: 33.3%; sample: 30Dec 2021: 22.2%; sample: 27Jan 2022: 9.7%; sample: 312022Feb 2022: 24.1%; sample: 29Mar 2022: 20.6%; sample: 34Apr 2022: 50.0%; sample: 44May 2022: 44.4%; sample: 45Jun 2022: 68.9%; sample: 45Jul 2022: 64.4%; sample: 45Aug 2022: 61.4%; sample: 44Sep 2022: 72.1%; sample: 43Oct 2022: 58.1%; sample: 43Nov 2022: 10.3%; sample: 39Dec 2022: 36.8%; sample: 38Jan 2023: 20.5%; sample: 392023Feb 2023: 11.1%; sample: 36Mar 2023: 19.0%; sample: 42Apr 2023: 22.9%; sample: 48May 2023: 22.9%; sample: 48Jun 2023: 42.6%; sample: 47Jul 2023: 44.9%; sample: 49Aug 2023: 45.8%; sample: 48Sep 2023: 43.8%; sample: 48Oct 2023: 37.5%; sample: 48Nov 2023: 10.3%; sample: 39Dec 2023: 36.1%; sample: 36Jan 2024: 5.0%; sample: 402024Feb 2024: 28.9%; sample: 38Mar 2024: 12.8%; sample: 39Apr 2024: 42.6%; sample: 47May 2024: 46.0%; sample: 50Jun 2024: 58.7%; sample: 46Jul 2024: 63.3%; sample: 49Aug 2024: 57.1%; sample: 49Sep 2024: 63.8%; sample: 47Oct 2024: 42.9%; sample: 49Nov 2024: 21.3%; sample: 47Dec 2024: 23.9%; sample: 46Jan 2025: 18.4%; sample: 492025Feb 2025: 9.1%; sample: 44Mar 2025: 14.0%; sample: 50Apr 2025: 16.4%; sample: 55May 2025: 13.8%; sample: 58Jun 2025: 23.2%; sample: 56Jul 2025: 36.8%; sample: 57Aug 2025: 25.9%; sample: 58Sep 2025: 30.9%; sample: 55Oct 2025: 21.4%; sample: 56Nov 2025: 9.3%; sample: 54Dec 2025: 3.7%; sample: 54Jan 2026: 8.8%; sample: 572026Feb 2026: 15.4%; sample: 52Mar 2026: 8.6%; sample: 58Apr 2026: 6.2%; sample: 64May 2026: 6.0%; sample: 67Jun 2026: 29.4%; sample: 68Pandemic 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 201848.6% of 35 movements — small sample, not ranked
Feb 201840.6% of 32 movements — small sample, not ranked
Mar 201835.1% of 37 movements — small sample, not ranked
Apr 201823.3% of 43 movements — small sample, not ranked
May 201836.4% of 44 movements — small sample, not ranked
Jun 201853.5% of 43 movements — small sample, not ranked
Jul 201863.6% of 44 movements — small sample, not ranked
Aug 201840.0% of 45 movements — small sample, not ranked
Sep 201856.8% of 44 movements — small sample, not ranked
Oct 201841.5% of 41 movements — small sample, not ranked
Nov 201810.0% of 30 movements — small sample, not ranked
Dec 201846.7% of 30 movements — small sample, not ranked
Jan 201935.5% of 31 movements — small sample, not ranked
Feb 201921.4% of 28 movements — small sample, not ranked
Mar 201929.0% of 31 movements — small sample, not ranked
Apr 201919.0% of 42 movements — small sample, not ranked
May 201924.4% of 45 movements — small sample, not ranked
Jun 201932.6% of 43 movements — small sample, not ranked
Jul 201934.1% of 44 movements — small sample, not ranked
Aug 201938.6% of 44 movements — small sample, not ranked
Sep 201930.2% of 43 movements — small sample, not ranked
Oct 201919.0% of 42 movements — small sample, not ranked
Nov 201918.5% of 27 movements — small sample, not ranked
Dec 201930.0% of 30 movements — small sample, not ranked
Jan 202014.3% of 28 movements — small sample, not ranked
Feb 202024.1% of 29 movements — small sample, not ranked
Mar 2020suppressed: fewer than twenty 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 20203.2% of 31 movements — small sample, not ranked
Sep 20206.7% of 30 movements — small sample, not ranked
Oct 20203.7% of 27 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 2021suppressed: fewer than twenty movements
May 2021no data
Jun 2021suppressed: fewer than twenty movements
Jul 202112.5% of 24 movements — small sample, not ranked
Aug 202120.0% of 30 movements — small sample, not ranked
Sep 202123.3% of 30 movements — small sample, not ranked
Oct 202125.8% of 31 movements — small sample, not ranked
Nov 202133.3% of 30 movements — small sample, not ranked
Dec 202122.2% of 27 movements — small sample, not ranked
Jan 20229.7% of 31 movements — small sample, not ranked
Feb 202224.1% of 29 movements — small sample, not ranked
Mar 202220.6% of 34 movements — small sample, not ranked
Apr 202250.0% of 44 movements — small sample, not ranked
May 202244.4% of 45 movements — small sample, not ranked
Jun 202268.9% of 45 movements — small sample, not ranked
Jul 202264.4% of 45 movements — small sample, not ranked
Aug 202261.4% of 44 movements — small sample, not ranked
Sep 202272.1% of 43 movements — small sample, not ranked
Oct 202258.1% of 43 movements — small sample, not ranked
Nov 202210.3% of 39 movements — small sample, not ranked
Dec 202236.8% of 38 movements — small sample, not ranked
Jan 202320.5% of 39 movements — small sample, not ranked
Feb 202311.1% of 36 movements — small sample, not ranked
Mar 202319.0% of 42 movements — small sample, not ranked
Apr 202322.9% of 48 movements — small sample, not ranked
May 202322.9% of 48 movements — small sample, not ranked
Jun 202342.6% of 47 movements — small sample, not ranked
Jul 202344.9% of 49 movements — small sample, not ranked
Aug 202345.8% of 48 movements — small sample, not ranked
Sep 202343.8% of 48 movements — small sample, not ranked
Oct 202337.5% of 48 movements — small sample, not ranked
Nov 202310.3% of 39 movements — small sample, not ranked
Dec 202336.1% of 36 movements — small sample, not ranked
Jan 20245.0% of 40 movements — small sample, not ranked
Feb 202428.9% of 38 movements — small sample, not ranked
Mar 202412.8% of 39 movements — small sample, not ranked
Apr 202442.6% of 47 movements — small sample, not ranked
May 202446.0% of 50 movements
Jun 202458.7% of 46 movements — small sample, not ranked
Jul 202463.3% of 49 movements — small sample, not ranked
Aug 202457.1% of 49 movements — small sample, not ranked
Sep 202463.8% of 47 movements — small sample, not ranked
Oct 202442.9% of 49 movements — small sample, not ranked
Nov 202421.3% of 47 movements — small sample, not ranked
Dec 202423.9% of 46 movements — small sample, not ranked
Jan 202518.4% of 49 movements — small sample, not ranked
Feb 20259.1% of 44 movements — small sample, not ranked
Mar 202514.0% of 50 movements
Apr 202516.4% of 55 movements
May 202513.8% of 58 movements
Jun 202523.2% of 56 movements
Jul 202536.8% of 57 movements
Aug 202525.9% of 58 movements
Sep 202530.9% of 55 movements
Oct 202521.4% of 56 movements
Nov 20259.3% of 54 movements
Dec 20253.7% of 54 movements
Jan 20268.8% of 57 movements
Feb 202615.4% of 52 movements
Mar 20268.6% of 58 movements
Apr 20266.2% of 64 movements
May 20266.0% of 67 movements
Jun 202629.4% of 68 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 2022Arrivals64.4% of 45 movements — small sample, not ranked29.6% across 400 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures46.7% of 45 movements — small sample, not ranked24.2% across 397 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals45.8% of 48 movements — small sample, not ranked35.2% across 516 flightsreturned after 3 months
NATS system failure · Aug 2023Departures33.3% of 48 movements — small sample, not ranked28.0% across 516 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals14.0% of 50 movements38.3% across 562 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.0% of 50 movements32.5% across 561 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, 54.1% of arrivals were disrupted, measured across 6 Julys in the archive. November has been the calmest, at 10.3% across 6 Novembers.

Even July has ranged from 34.1% to 64.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201935.5% of 31 movements †21.4% of 28 movements †29.0% of 31 movements †19.0% of 42 movements †24.4% of 45 movements †32.6% of 43 movements †34.1% of 44 movements †38.6% of 44 movements †30.2% of 43 movements †19.0% of 42 movements †18.5% of 27 movements †30.0% of 30 movements †202014.3% of 28 movements †24.1% of 29 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.2% of 31 movements †6.7% of 30 movements †3.7% of 27 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datasuppressed: fewer than twenty movements12.5% of 24 movements †20.0% of 30 movements †23.3% of 30 movements †25.8% of 31 movements †33.3% of 30 movements †22.2% of 27 movements †20229.7% of 31 movements †24.1% of 29 movements †20.6% of 34 movements †50.0% of 44 movements †44.4% of 45 movements †68.9% of 45 movements †64.4% of 45 movements †61.4% of 44 movements †72.1% of 43 movements †58.1% of 43 movements †10.3% of 39 movements †36.8% of 38 movements †202320.5% of 39 movements †11.1% of 36 movements †19.0% of 42 movements †22.9% of 48 movements †22.9% of 48 movements †42.6% of 47 movements †44.9% of 49 movements †45.8% of 48 movements †43.8% of 48 movements †37.5% of 48 movements †10.3% of 39 movements †36.1% of 36 movements †20245.0% of 40 movements †28.9% of 38 movements †12.8% of 39 movements †42.6% of 47 movements †46.0% of 50 movements58.7% of 46 movements †63.3% of 49 movements †57.1% of 49 movements †63.8% of 47 movements †42.9% of 49 movements †21.3% of 47 movements †23.9% of 46 movements †202518.4% of 49 movements †9.1% of 44 movements †14.0% of 50 movements16.4% of 55 movements13.8% of 58 movements23.2% of 56 movements36.8% of 57 movements25.9% of 58 movements30.9% of 55 movements21.4% of 56 movements9.3% of 54 movements3.7% of 54 movements20268.8% of 57 movements15.4% of 52 movements8.6% of 58 movements6.2% of 64 movements6.0% of 67 movements29.4% of 68 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan18.4%5.0–48.6%7 months, 282 flights
Feb21.4%9.1–40.6%7 months, 259 flights
Mar19.0%8.6–35.1%7 months, 291 flights
Apr22.9%6.2–50.0%7 months, 343 flights
May24.4%6.0–46.0%7 months, 357 flights
Jun42.6%23.2–68.9%7 months, 348 flights
Jul54.1%34.1–64.4%6 months, 288 flights
Aug42.9%25.9–61.4%6 months, 288 flights
Sep50.3%30.2–72.1%6 months, 280 flights
Oct39.5%19.0–58.1%6 months, 279 flights
Nov10.3%9.3–21.3%6 months, 236 flights
Dec33.1%3.7–46.7%6 months, 234 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?

Only one carrier published enough flights here to report: Ryanair, 16.9% of 700 movements disrupted.

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 optionRyanair16.9% of 700 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ryanair70016.9% of 700 movements0.1% of 700 movements0.3% of 700 movementsdescriptive comparison
Ryanair Uksuppressed: 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, BHX had the lowest disruption share at 13.8% of 65 movements and EDI the highest at 20.8% of 452 movements. This route sits at 16.9% of 700 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 ↔ Rome-Ciampino13.8% of 65 flightsEdi ↔ Rome-Ciampino20.8% of 452 flightsEma ↔ Rome-Ciampino18.9% of 106 flightsLpl ↔ Rome-Ciampino19.6% of 107 flightsStn ↔ Rome-Ciampino18.3% of 1,652 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Rome-Ciampinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Rome-Ciampino6513.8% of 65 movementsno events in 65 movementsno events in 65 movementsdescriptive comparison
Boh ↔ Rome-Ciampinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Rome-Ciampino45220.8% of 452 movements0.2% of 452 movements0.2% of 452 movementsdescriptive comparison
Ema ↔ Rome-Ciampino10618.9% of 106 movementsno events in 106 movementsno events in 106 movementsdescriptive comparison
Lba ↔ Rome-Ciampinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Rome-Ciampinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Rome-Ciampino10719.6% of 107 movementsno events in 107 movementsno events in 107 movementsdescriptive comparison
Ltn ↔ Rome-Ciampinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Rome-Ciampinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Rome-Ciampino1,65218.3% of 1,652 movements0.1% of 1,652 movements0.4% of 1,652 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into MAN ran 16.9% of 700 movements disrupted, departures 22.1% of 700 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 MAN16.9% of 700 movements0.1% of 700 movements0.3% of 700 movements
Departures from MAN22.1% of 700 movementsno events in 700 movementsno events in 700 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 202617 flights out of 3,89017 × £350 = £5,950
ArrivalsLast 72 months · Jul 2020–Jun 202611 flights out of 2,89811 × £350 = £3,850
DeparturesWhole archive · Jan 2018–Jun 202611 flights out of 3,88611 × £350 = £3,850
DeparturesLast 72 months · Jul 2020–Jun 20267 flights out of 2,8947 × £350 = £2,450
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 / countryROME (CIAMPINO) / ITALY
Final point codesCIA / LIRA
Great-circle distance1,695 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.92
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 archive97

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: 700; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

16.9% of 700 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.1% of 700 movements in the same window.

How many delays crossed three hours?

0.3% of 700 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?

1,695 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

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