UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ MILAN LINATE

In the twelve months from July 2025 to June 2026, 24.1% of 2,476 movements arriving into LHR were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 75.9% of 2,476 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 225 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, 24.1% of 2,476 movements were disrupted and 1.5% of 2,476 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
24.1% of 2,476 movements1.5% of 2,476 movements24.6–57.2 min; N of delayed flights=560–1,2012,476
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: 1.5% of 2,476 movements. “One in N” means how many arrivals you would typically see between events at that level.

Delay threshold ladder; count and share of known operations15 min22.6%30 min11.3%60 min4.7%120 min1.3%180 min0.4%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.6% of 2,476 movements5604.4
>30 min11.3% of 2,476 movements2808.8
>60 min4.7% of 2,476 movements11621.3
>120 min1.3% of 2,476 movements3375.0
>180 min0.4% of 2,476 movements11225.1
>360 min0.0% of 2,476 movements12,476.0
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 early35414.3%15–1 early88535.7%0–15 late64125.9%16–3028011.3%31–601646.6%61…120833.4%121…180220.9%181…360100.4%>36010.0%D=2,476
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0248; 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: May 2021, no events in 54 movements. Worst month: Sep 2024, 62.8% of 129 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: 28.5%; sample: 2492018Feb 2018: 21.3%; sample: 239Mar 2018: 22.5%; sample: 267Apr 2018: 23.8%; sample: 248May 2018: 26.4%; sample: 254Jun 2018: 36.1%; sample: 249Jul 2018: 35.2%; sample: 256Aug 2018: 22.6%; sample: 248Sep 2018: 16.5%; sample: 248Oct 2018: 23.7%; sample: 257Nov 2018: 18.1%; sample: 254Dec 2018: 35.7%; sample: 252Jan 2019: 8.2%; sample: 2452019Feb 2019: 14.8%; sample: 243Mar 2019: 24.1%; sample: 266Apr 2019: 15.3%; sample: 248May 2019: 14.9%; sample: 255Jun 2019: 29.7%; sample: 249Jul 2019: 32.7%; sample: 214Aug 2019: suppressed: fewer than twenty movements×Sep 2019: suppressed: fewer than twenty movements×Oct 2019: 22.2%; sample: 45Nov 2019: 12.5%; sample: 273Dec 2019: 21.1%; sample: 284Jan 2020: 14.1%; sample: 2832020Feb 2020: 39.6%; sample: 268Mar 2020: 30.9%; sample: 68Apr 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: 2.6%; sample: 38Oct 2020: 3.3%; sample: 123Nov 2020: 2.1%; sample: 47Dec 2020: 22.7%; sample: 44Jan 2021: 12.9%; sample: 312021Feb 2021: 16.0%; sample: 25Mar 2021: 3.8%; sample: 26Apr 2021: 0.0%; sample: 45May 2021: 0.0%; sample: 54Jun 2021: 4.9%; sample: 82Jul 2021: 10.6%; sample: 66Aug 2021: 5.7%; sample: 87Sep 2021: 15.6%; sample: 90Oct 2021: 10.9%; sample: 101Nov 2021: 10.0%; sample: 90Dec 2021: 19.6%; sample: 107Jan 2022: 4.7%; sample: 862022Feb 2022: 27.4%; sample: 135Mar 2022: 16.0%; sample: 181Apr 2022: 21.6%; sample: 167May 2022: 31.3%; sample: 166Jun 2022: 39.0%; sample: 141Jul 2022: 37.8%; sample: 156Aug 2022: 20.0%; sample: 175Sep 2022: 51.1%; sample: 184Oct 2022: 27.5%; sample: 193Nov 2022: 19.0%; sample: 195Dec 2022: 36.1%; sample: 194Jan 2023: 25.3%; sample: 1822023Feb 2023: 18.1%; sample: 171Mar 2023: 47.1%; sample: 191Apr 2023: 44.6%; sample: 157May 2023: 41.1%; sample: 146Jun 2023: 48.6%; sample: 142Jul 2023: 54.1%; sample: 220Aug 2023: 35.8%; sample: 190Sep 2023: 47.2%; sample: 193Oct 2023: 45.0%; sample: 209Nov 2023: 28.8%; sample: 205Dec 2023: 42.9%; sample: 210Jan 2024: 22.9%; sample: 2142024Feb 2024: 22.2%; sample: 185Mar 2024: 23.8%; sample: 210Apr 2024: 43.4%; sample: 129May 2024: 49.2%; sample: 132Jun 2024: 42.9%; sample: 126Jul 2024: 49.2%; sample: 130Aug 2024: 48.9%; sample: 133Sep 2024: 62.8%; sample: 129Oct 2024: 33.6%; sample: 137Nov 2024: 20.3%; sample: 153Dec 2024: 35.9%; sample: 156Jan 2025: 24.7%; sample: 1542025Feb 2025: 8.5%; sample: 142Mar 2025: 17.6%; sample: 159Apr 2025: 14.2%; sample: 197May 2025: 21.2%; sample: 203Jun 2025: 26.2%; sample: 183Jul 2025: 39.8%; sample: 191Aug 2025: 24.1%; sample: 187Sep 2025: 45.4%; sample: 196Oct 2025: 20.4%; sample: 211Nov 2025: 13.4%; sample: 216Dec 2025: 22.1%; sample: 226Jan 2026: 25.1%; sample: 2272026Feb 2026: 8.8%; sample: 205Mar 2026: 10.5%; sample: 228Apr 2026: 26.7%; sample: 195May 2026: 21.1%; sample: 199Jun 2026: 36.4%; sample: 195Pandemic 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 201828.5% of 249 movements
Feb 201821.3% of 239 movements
Mar 201822.5% of 267 movements
Apr 201823.8% of 248 movements
May 201826.4% of 254 movements
Jun 201836.1% of 249 movements
Jul 201835.2% of 256 movements
Aug 201822.6% of 248 movements
Sep 201816.5% of 248 movements
Oct 201823.7% of 257 movements
Nov 201818.1% of 254 movements
Dec 201835.7% of 252 movements
Jan 20198.2% of 245 movements
Feb 201914.8% of 243 movements
Mar 201924.1% of 266 movements
Apr 201915.3% of 248 movements
May 201914.9% of 255 movements
Jun 201929.7% of 249 movements
Jul 201932.7% of 214 movements
Aug 2019suppressed: fewer than twenty movements
Sep 2019suppressed: fewer than twenty movements
Oct 201922.2% of 45 movements — small sample, not ranked
Nov 201912.5% of 273 movements
Dec 201921.1% of 284 movements
Jan 202014.1% of 283 movements
Feb 202039.6% of 268 movements
Mar 202030.9% of 68 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 20202.6% of 38 movements — small sample, not ranked
Oct 20203.3% of 123 movements
Nov 20202.1% of 47 movements — small sample, not ranked
Dec 202022.7% of 44 movements — small sample, not ranked
Jan 202112.9% of 31 movements — small sample, not ranked
Feb 202116.0% of 25 movements — small sample, not ranked
Mar 20213.8% of 26 movements — small sample, not ranked
Apr 2021no events in 45 movements — small sample, not ranked
May 2021no events in 54 movements
Jun 20214.9% of 82 movements
Jul 202110.6% of 66 movements
Aug 20215.7% of 87 movements
Sep 202115.6% of 90 movements
Oct 202110.9% of 101 movements
Nov 202110.0% of 90 movements
Dec 202119.6% of 107 movements
Jan 20224.7% of 86 movements
Feb 202227.4% of 135 movements
Mar 202216.0% of 181 movements
Apr 202221.6% of 167 movements
May 202231.3% of 166 movements
Jun 202239.0% of 141 movements
Jul 202237.8% of 156 movements
Aug 202220.0% of 175 movements
Sep 202251.1% of 184 movements
Oct 202227.5% of 193 movements
Nov 202219.0% of 195 movements
Dec 202236.1% of 194 movements
Jan 202325.3% of 182 movements
Feb 202318.1% of 171 movements
Mar 202347.1% of 191 movements
Apr 202344.6% of 157 movements
May 202341.1% of 146 movements
Jun 202348.6% of 142 movements
Jul 202354.1% of 220 movements
Aug 202335.8% of 190 movements
Sep 202347.2% of 193 movements
Oct 202345.0% of 209 movements
Nov 202328.8% of 205 movements
Dec 202342.9% of 210 movements
Jan 202422.9% of 214 movements
Feb 202422.2% of 185 movements
Mar 202423.8% of 210 movements
Apr 202443.4% of 129 movements
May 202449.2% of 132 movements
Jun 202442.9% of 126 movements
Jul 202449.2% of 130 movements
Aug 202448.9% of 133 movements
Sep 202462.8% of 129 movements
Oct 202433.6% of 137 movements
Nov 202420.3% of 153 movements
Dec 202435.9% of 156 movements
Jan 202524.7% of 154 movements
Feb 20258.5% of 142 movements
Mar 202517.6% of 159 movements
Apr 202514.2% of 197 movements
May 202521.2% of 203 movements
Jun 202526.2% of 183 movements
Jul 202539.8% of 191 movements
Aug 202524.1% of 187 movements
Sep 202545.4% of 196 movements
Oct 202520.4% of 211 movements
Nov 202513.4% of 216 movements
Dec 202522.1% of 226 movements
Jan 202625.1% of 227 movements
Feb 20268.8% of 205 movements
Mar 202610.5% of 228 movements
Apr 202626.7% of 195 movements
May 202621.1% of 199 movements
Jun 202636.4% of 195 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 2022Arrivals37.8% of 156 movements17.7% across 1,417 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures44.9% of 158 movements27.3% across 1,407 flightsreturned the next month
NATS system failure · Aug 2023Arrivals35.8% of 190 movements36.0% across 2,150 flightsreturned after 3 months
NATS system failure · Aug 2023Departures37.2% of 188 movements38.1% across 2,154 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals17.6% of 159 movements36.9% across 1,731 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures28.3% of 159 movements30.3% across 1,732 flightsreturned the next month
Definitions, denominators and limits

The baseline is the unweighted mean share over the twelve preceding calendar months. The return window is the following eight months, up to the end of the archive. Return means the first observed value at or below the baseline; it is not the duration of the disruption itself. If the event month is already below the baseline, counting still starts the month after. Gaps and suppressed cells are not treated as zeros or as recovery.

Which time of year has historically been hardest?

September has historically been the hardest month on this route: in a typical September, 47.2% of arrivals were disrupted, measured across 5 Septembers in the archive. February has been the calmest, at 18.1% across 7 Februarys.

Even September has ranged from 16.5% to 62.8% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20198.2% of 245 movements14.8% of 243 movements24.1% of 266 movements15.3% of 248 movements14.9% of 255 movements29.7% of 249 movements32.7% of 214 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements22.2% of 45 movements †12.5% of 273 movements21.1% of 284 movements202014.1% of 283 movements39.6% of 268 movements30.9% of 68 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.2% of 31 movements †2.6% of 38 movements †3.3% of 123 movements2.1% of 47 movements †22.7% of 44 movements †202112.9% of 31 movements †16.0% of 25 movements †3.8% of 26 movements †no events in 45 movements †no events in 54 movements4.9% of 82 movements10.6% of 66 movements5.7% of 87 movements15.6% of 90 movements10.9% of 101 movements10.0% of 90 movements19.6% of 107 movements20224.7% of 86 movements27.4% of 135 movements16.0% of 181 movements21.6% of 167 movements31.3% of 166 movements39.0% of 141 movements37.8% of 156 movements20.0% of 175 movements51.1% of 184 movements27.5% of 193 movements19.0% of 195 movements36.1% of 194 movements202325.3% of 182 movements18.1% of 171 movements47.1% of 191 movements44.6% of 157 movements41.1% of 146 movements48.6% of 142 movements54.1% of 220 movements35.8% of 190 movements47.2% of 193 movements45.0% of 209 movements28.8% of 205 movements42.9% of 210 movements202422.9% of 214 movements22.2% of 185 movements23.8% of 210 movements43.4% of 129 movements49.2% of 132 movements42.9% of 126 movements49.2% of 130 movements48.9% of 133 movements62.8% of 129 movements33.6% of 137 movements20.3% of 153 movements35.9% of 156 movements202524.7% of 154 movements8.5% of 142 movements17.6% of 159 movements14.2% of 197 movements21.2% of 203 movements26.2% of 183 movements39.8% of 191 movements24.1% of 187 movements45.4% of 196 movements20.4% of 211 movements13.4% of 216 movements22.1% of 226 movements202625.1% of 227 movements8.8% of 205 movements10.5% of 228 movements26.7% of 195 movements21.1% of 199 movements36.4% of 195 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan24.7%4.7–28.5%7 months, 1,357 flights
Feb18.1%8.5–27.4%7 months, 1,320 flights
Mar22.5%10.5–47.1%7 months, 1,502 flights
Apr23.8%14.2–44.6%7 months, 1,341 flights
May26.4%14.9–49.2%7 months, 1,355 flights
Jun36.4%26.2–48.6%7 months, 1,285 flights
Jul38.8%32.7–54.1%6 months, 1,167 flights
Aug24.1%20.0–48.9%5 months, 933 flights
Sep47.2%16.5–62.8%5 months, 950 flights
Oct25.6%20.4–45.0%6 months, 1,052 flights
Nov18.5%12.5–28.8%6 months, 1,296 flights
Dec35.8%21.1–42.9%6 months, 1,322 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: British Airways Plc, 24.1% of 2,475 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 optionBritish Airways24.1% of 2,475 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
(Ita) Italia Traspoto Aereosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Alitalia (Cai)suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ba Euroflyer British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways2,47524.1% of 2,475 movements1.5% of 2,475 movements0.4% of 2,475 movementsdescriptive comparison
Italia Traspoto Aereosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

The noise check is a descriptive approximation assuming independent operations. Delay correlation and mix differences are not estimated; no ranking is derived.

Would another UK airport have been better?

Among UK airports flying to this city with enough flights to publish, LCY had the lowest disruption share at 10.9% of 2,334 movements and BHX the highest at 35.0% of 103 movements. This route sits at 24.1% of 2,476 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 ↔ Milan-Linate35.0% of 103 flightsEdi ↔ Milan-Linate17.3% of 365 flightsLcy ↔ Milan-Linate10.9% of 2,334 flightsLgw ↔ Milan-Linate32.2% of 559 flightsMan ↔ Milan-Linate27.7% of 364 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhd ↔ Milan-Linatesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Milan-Linate10335.0% of 103 movementsno events in 103 movementsno events in 103 movementsdescriptive comparison
Boh ↔ Milan-Linatesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Milan-Linate36517.3% of 365 movements1.4% of 365 movements0.5% of 365 movementsdescriptive comparison
Ema ↔ Milan-Linatesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Milan-Linate2,33410.9% of 2,334 movements0.9% of 2,334 movements0.1% of 2,334 movementsdescriptive comparison
Lgw ↔ Milan-Linate55932.2% of 559 movements0.4% of 559 movements0.7% of 559 movementsdescriptive comparison
Ltn ↔ Milan-Linatesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Milan-Linate36427.7% of 364 movements0.3% of 364 movements0.3% of 364 movementsdescriptive comparison
Sen ↔ Milan-Linatesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Milan-Linatesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 24.1% of 2,476 movements disrupted, departures 21.7% of 2,476 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 LHR24.1% of 2,476 movements1.5% of 2,476 movements0.4% of 2,476 movements
Departures from LHR21.7% of 2,476 movements1.1% of 2,476 movements0.2% of 2,476 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 202656 flights out of 16,58656 × £220 = £12,320
ArrivalsLast 72 months · Jul 2020–Jun 202644 flights out of 10,62444 × £220 = £9,680
DeparturesWhole archive · Jan 2018–Jun 202621 flights out of 16,57021 × £220 = £4,620
DeparturesLast 72 months · Jul 2020–Jun 202616 flights out of 10,61016 × £220 = £3,520
Definitions, denominators and limits

Full formula: the count is the sum of the two tail buckets across months, carriers and service types in one direction; the ceiling is that count multiplied by the maximum statutory amount for the distance band. The condition is: if every such delay had been the carrier's fault and a claim had been filed on every one of them.

This is conditional arithmetic over operations: passenger numbers, legal applicability and the number of claims are all unknown. For departures it is an arithmetic scenario only, because arrival at the final point is not observed. For long routes the maximum ceiling is used; any reduction in the payable amount is not calculated.

The archive window is counted from the last month of data, not from today: this is not a limitation check for an individual case. The CAA states six years for England and Wales and five for Scotland. CAA: time limits and how to complain. Information, not a legal service.

The facts about this route

Route reference table: codes, distance, frequency, archive span
FieldValue
UK airportHEATHROW · LHR
Final point / countryMILAN (LINATE) / ITALY
Final point codesLIN / LIML
Great-circle distance981 km
Maximum statutory amount for the band£220
Average operated arrivals per day6.68
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 archive96

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: 2,476; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

24.1% of 2,476 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.5% of 2,476 movements in the same window.

How many delays crossed three hours?

0.4% of 2,476 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?

981 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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