UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ ROME CIAMPINO

In the twelve months from July 2025 to June 2026, 18.3% of 1,652 movements arriving into STN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 81.7% of 1,652 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 275 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, 18.3% of 1,652 movements were disrupted and 0.1% of 1,652 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
18.3% of 1,652 movements0.1% of 1,652 movements27.3–61.8 min; N of delayed flights=300–6191,652
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 1,652 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 min18.2%30 min11.4%60 min4.8%120 min1.0%180 min0.4%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min18.2% of 1,652 movements3005.5
>30 min11.4% of 1,652 movements1888.8
>60 min4.8% of 1,652 movements7920.9
>120 min1.0% of 1,652 movements16103.2
>180 min0.4% of 1,652 movements6275.3
>360 min0.1% of 1,652 movements2826.0
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?

This route runs late less often than most, but when it does go wrong it tends to go badly wrong: its long delays are heavier 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 early50230.4%15–1 early52932.0%0–15 late31919.3%16–301126.8%31–601096.6%61…120633.8%121…180100.6%181…36040.2%>36020.1%D=1,652
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0271; 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, 1.7% of 60 movements. Worst month: Jul 2024, 57.9% of 133 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: 34.2%; sample: 1492018Feb 2018: 34.6%; sample: 136Mar 2018: 33.6%; sample: 152Apr 2018: 29.3%; sample: 150May 2018: 39.4%; sample: 155Jun 2018: 49.3%; sample: 150Jul 2018: 55.5%; sample: 155Aug 2018: 44.2%; sample: 156Sep 2018: 43.3%; sample: 150Oct 2018: 33.1%; sample: 154Nov 2018: 15.8%; sample: 146Dec 2018: 34.3%; sample: 140Jan 2019: 28.0%; sample: 1502019Feb 2019: 12.1%; sample: 132Mar 2019: 8.0%; sample: 150Apr 2019: 12.7%; sample: 150May 2019: 20.0%; sample: 155Jun 2019: 15.3%; sample: 150Jul 2019: 25.2%; sample: 155Aug 2019: 21.9%; sample: 155Sep 2019: 9.3%; sample: 150Oct 2019: 12.3%; sample: 155Nov 2019: 7.6%; sample: 144Dec 2019: 12.3%; sample: 146Jan 2020: 9.5%; sample: 1482020Feb 2020: 15.9%; sample: 145Mar 2020: 3.1%; sample: 65Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 0.0%; sample: 31Aug 2020: 9.7%; sample: 62Sep 2020: 1.7%; sample: 60Oct 2020: 5.0%; 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: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: 18.3%; sample: 60Jul 2021: 31.8%; sample: 66Aug 2021: 29.0%; sample: 93Sep 2021: 27.8%; sample: 90Oct 2021: 41.6%; sample: 89Nov 2021: 9.0%; sample: 78Dec 2021: 8.0%; sample: 75Jan 2022: 5.1%; sample: 782022Feb 2022: 17.1%; sample: 76Mar 2022: 10.0%; sample: 90Apr 2022: 33.3%; sample: 129May 2022: 29.7%; sample: 128Jun 2022: 44.5%; sample: 128Jul 2022: 41.4%; sample: 133Aug 2022: 37.6%; sample: 133Sep 2022: 36.7%; sample: 128Oct 2022: 28.7%; sample: 136Nov 2022: 18.7%; sample: 150Dec 2022: 44.8%; sample: 145Jan 2023: 26.3%; sample: 1562023Feb 2023: 15.0%; sample: 140Mar 2023: 30.2%; sample: 149Apr 2023: 37.2%; sample: 129May 2023: 33.1%; sample: 133Jun 2023: 39.4%; sample: 127Jul 2023: 51.5%; sample: 132Aug 2023: 45.1%; sample: 133Sep 2023: 29.5%; sample: 129Oct 2023: 30.6%; sample: 134Nov 2023: 31.7%; sample: 145Dec 2023: 37.6%; sample: 141Jan 2024: 25.3%; sample: 1502024Feb 2024: 13.5%; sample: 141Mar 2024: 19.3%; sample: 150Apr 2024: 23.3%; sample: 129May 2024: 39.1%; sample: 133Jun 2024: 43.8%; sample: 128Jul 2024: 57.9%; sample: 133Aug 2024: 39.4%; sample: 132Sep 2024: 41.9%; sample: 129Oct 2024: 34.1%; sample: 135Nov 2024: 16.4%; sample: 146Dec 2024: 31.9%; sample: 141Jan 2025: 19.2%; sample: 1512025Feb 2025: 13.4%; sample: 134Mar 2025: 18.7%; sample: 150Apr 2025: 24.2%; sample: 128May 2025: 28.6%; sample: 133Jun 2025: 31.2%; sample: 128Jul 2025: 35.3%; sample: 133Aug 2025: 32.3%; sample: 133Sep 2025: 33.6%; sample: 128Oct 2025: 23.5%; sample: 136Nov 2025: 2.8%; sample: 145Dec 2025: 12.0%; sample: 142Jan 2026: 12.6%; sample: 1512026Feb 2026: 9.6%; sample: 136Mar 2026: 12.0%; sample: 150Apr 2026: 8.5%; sample: 130May 2026: 17.1%; sample: 140Jun 2026: 24.2%; sample: 128Pandemic 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 201834.2% of 149 movements
Feb 201834.6% of 136 movements
Mar 201833.6% of 152 movements
Apr 201829.3% of 150 movements
May 201839.4% of 155 movements
Jun 201849.3% of 150 movements
Jul 201855.5% of 155 movements
Aug 201844.2% of 156 movements
Sep 201843.3% of 150 movements
Oct 201833.1% of 154 movements
Nov 201815.8% of 146 movements
Dec 201834.3% of 140 movements
Jan 201928.0% of 150 movements
Feb 201912.1% of 132 movements
Mar 20198.0% of 150 movements
Apr 201912.7% of 150 movements
May 201920.0% of 155 movements
Jun 201915.3% of 150 movements
Jul 201925.2% of 155 movements
Aug 201921.9% of 155 movements
Sep 20199.3% of 150 movements
Oct 201912.3% of 155 movements
Nov 20197.6% of 144 movements
Dec 201912.3% of 146 movements
Jan 20209.5% of 148 movements
Feb 202015.9% of 145 movements
Mar 20203.1% of 65 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020no events in 31 movements — small sample, not ranked
Aug 20209.7% of 62 movements
Sep 20201.7% of 60 movements
Oct 20205.0% of 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 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 202118.3% of 60 movements
Jul 202131.8% of 66 movements
Aug 202129.0% of 93 movements
Sep 202127.8% of 90 movements
Oct 202141.6% of 89 movements
Nov 20219.0% of 78 movements
Dec 20218.0% of 75 movements
Jan 20225.1% of 78 movements
Feb 202217.1% of 76 movements
Mar 202210.0% of 90 movements
Apr 202233.3% of 129 movements
May 202229.7% of 128 movements
Jun 202244.5% of 128 movements
Jul 202241.4% of 133 movements
Aug 202237.6% of 133 movements
Sep 202236.7% of 128 movements
Oct 202228.7% of 136 movements
Nov 202218.7% of 150 movements
Dec 202244.8% of 145 movements
Jan 202326.3% of 156 movements
Feb 202315.0% of 140 movements
Mar 202330.2% of 149 movements
Apr 202337.2% of 129 movements
May 202333.1% of 133 movements
Jun 202339.4% of 127 movements
Jul 202351.5% of 132 movements
Aug 202345.1% of 133 movements
Sep 202329.5% of 129 movements
Oct 202330.6% of 134 movements
Nov 202331.7% of 145 movements
Dec 202337.6% of 141 movements
Jan 202425.3% of 150 movements
Feb 202413.5% of 141 movements
Mar 202419.3% of 150 movements
Apr 202423.3% of 129 movements
May 202439.1% of 133 movements
Jun 202443.8% of 128 movements
Jul 202457.9% of 133 movements
Aug 202439.4% of 132 movements
Sep 202441.9% of 129 movements
Oct 202434.1% of 135 movements
Nov 202416.4% of 146 movements
Dec 202431.9% of 141 movements
Jan 202519.2% of 151 movements
Feb 202513.4% of 134 movements
Mar 202518.7% of 150 movements
Apr 202524.2% of 128 movements
May 202528.6% of 133 movements
Jun 202531.2% of 128 movements
Jul 202535.3% of 133 movements
Aug 202532.3% of 133 movements
Sep 202533.6% of 128 movements
Oct 202523.5% of 136 movements
Nov 20252.8% of 145 movements
Dec 202512.0% of 142 movements
Jan 202612.6% of 151 movements
Feb 20269.6% of 136 movements
Mar 202612.0% of 150 movements
Apr 20268.5% of 130 movements
May 202617.1% of 140 movements
Jun 202624.2% of 128 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 2022Arrivals41.4% of 133 movements23.9% across 1,120 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures49.6% of 133 movements17.9% across 1,119 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals45.1% of 133 movements33.3% across 1,658 flightsreturned the next month
NATS system failure · Aug 2023Departures48.1% of 133 movements32.1% across 1,660 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals18.7% of 150 movements31.6% across 1,641 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures17.3% of 150 movements33.8% across 1,644 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, 46.4% of arrivals were disrupted, measured across 6 Julys in the archive. February has been the calmest, at 13.5% across 7 Februarys.

Even July has ranged from 25.2% to 57.9% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201928.0% of 150 movements12.1% of 132 movements8.0% of 150 movements12.7% of 150 movements20.0% of 155 movements15.3% of 150 movements25.2% of 155 movements21.9% of 155 movements9.3% of 150 movements12.3% of 155 movements7.6% of 144 movements12.3% of 146 movements20209.5% of 148 movements15.9% of 145 movements3.1% of 65 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 31 movements †9.7% of 62 movements1.7% of 60 movements5.0% of 20 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 movementssuppressed: fewer than twenty movements18.3% of 60 movements31.8% of 66 movements29.0% of 93 movements27.8% of 90 movements41.6% of 89 movements9.0% of 78 movements8.0% of 75 movements20225.1% of 78 movements17.1% of 76 movements10.0% of 90 movements33.3% of 129 movements29.7% of 128 movements44.5% of 128 movements41.4% of 133 movements37.6% of 133 movements36.7% of 128 movements28.7% of 136 movements18.7% of 150 movements44.8% of 145 movements202326.3% of 156 movements15.0% of 140 movements30.2% of 149 movements37.2% of 129 movements33.1% of 133 movements39.4% of 127 movements51.5% of 132 movements45.1% of 133 movements29.5% of 129 movements30.6% of 134 movements31.7% of 145 movements37.6% of 141 movements202425.3% of 150 movements13.5% of 141 movements19.3% of 150 movements23.3% of 129 movements39.1% of 133 movements43.8% of 128 movements57.9% of 133 movements39.4% of 132 movements41.9% of 129 movements34.1% of 135 movements16.4% of 146 movements31.9% of 141 movements202519.2% of 151 movements13.4% of 134 movements18.7% of 150 movements24.2% of 128 movements28.6% of 133 movements31.2% of 128 movements35.3% of 133 movements32.3% of 133 movements33.6% of 128 movements23.5% of 136 movements2.8% of 145 movements12.0% of 142 movements202612.6% of 151 movements9.6% of 136 movements12.0% of 150 movements8.5% of 130 movements17.1% of 140 movements24.2% of 128 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.3%5.1–34.2%7 months, 985 flights
Feb13.5%9.6–34.6%7 months, 895 flights
Mar18.7%8.0–33.6%7 months, 991 flights
Apr24.2%8.5–37.2%7 months, 945 flights
May29.7%17.1–39.4%7 months, 977 flights
Jun39.4%15.3–49.3%7 months, 939 flights
Jul46.4%25.2–57.9%6 months, 841 flights
Aug38.5%21.9–45.1%6 months, 842 flights
Sep35.2%9.3–43.3%6 months, 814 flights
Oct29.6%12.3–34.1%6 months, 850 flights
Nov16.1%2.8–31.7%6 months, 876 flights
Dec33.1%12.0–44.8%6 months, 855 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: Ryanair Uk no events in 22 movements — small sample, not ranked, Ryanair 18.5% of 1,630 movements. Not enough comparable carriers.

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 optionRyanair18.5% of 1,630 flightsRyanair Uk †0.0% of 22 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ryanair1,63018.5% of 1,630 movements0.1% of 1,630 movements0.4% of 1,630 movementsdescriptive comparison
Ryanair Uk22no events in 22 movements — small sample, not rankedno events in 22 movements — small sample, not rankedno events in 22 movements — small sample, not rankedsmall sample; not ranked

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 18.3% of 1,652 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 flightsMan ↔ Rome-Ciampino16.9% of 700 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
Man ↔ Rome-Ciampino70016.9% of 700 movements0.1% of 700 movements0.3% of 700 movementsdescriptive comparison
Ncl ↔ Rome-Ciampinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Yes: arrivals into STN ran 18.3% of 1,652 movements disrupted, departures 23.4% of 1,651 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 STN18.3% of 1,652 movements0.1% of 1,652 movements0.4% of 1,652 movements
Departures from STN23.4% of 1,651 movements0.1% of 1,651 movements0.3% of 1,651 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 202678 flights out of 11,96578 × £220 = £17,160
ArrivalsLast 72 months · Jul 2020–Jun 202630 flights out of 8,01830 × £220 = £6,600
DeparturesWhole archive · Jan 2018–Jun 202652 flights out of 11,97252 × £220 = £11,440
DeparturesLast 72 months · Jul 2020–Jun 202627 flights out of 8,02427 × £220 = £5,940
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 airportSTANSTED · STN
Final point / countryROME (CIAMPINO) / ITALY
Final point codesCIA / LIRA
Great-circle distance1,459 km
Maximum statutory amount for the band£220
Average operated arrivals per day4.52
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: 1,652; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

18.3% of 1,652 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 1,652 movements in the same window.

How many delays crossed three hours?

0.4% of 1,652 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

rare but severe. The class compares the tail with short delays across routes in the corpus.

What distance is used?

1,459 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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