UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ BOLOGNA

In the twelve months from July 2025 to June 2026, 18.8% of 1,007 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, 81.2% of 1,007 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 336 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, 18.8% of 1,007 movements were disrupted and 2.0% of 1,007 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
18.8% of 1,007 movements2.0% of 1,007 movements20.8–54.5 min; N of delayed flights=169–3951,007
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: 2.0% of 1,007 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 min16.8%30 min8.4%60 min3.5%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 min16.8% of 1,007 movements1696.0
>30 min8.4% of 1,007 movements8511.8
>60 min3.5% of 1,007 movements3528.8
>120 min0.7% of 1,007 movements7143.9
>180 min0.3% of 1,007 movements3335.7
>360 minno events in 1,007 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?

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 early23723.5%15–1 early35535.3%0–15 late22622.4%16–30848.3%31–60505.0%61…120282.8%121…18040.4%181…36030.3%>36000.0%D=1,007
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0224; 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: Oct 2020, 5.2% of 58 movements. Worst month: Sep 2023, 62.3% of 61 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: 26.9%; sample: 932018Feb 2018: 24.4%; sample: 82Mar 2018: 22.8%; sample: 92Apr 2018: 25.6%; sample: 90May 2018: 20.8%; sample: 96Jun 2018: 27.8%; sample: 90Jul 2018: 20.7%; sample: 92Aug 2018: 24.7%; sample: 89Sep 2018: 10.8%; sample: 83Oct 2018: 30.9%; sample: 94Nov 2018: 14.4%; sample: 90Dec 2018: 39.3%; sample: 84Jan 2019: 9.7%; sample: 932019Feb 2019: 16.9%; sample: 83Mar 2019: 26.6%; sample: 94Apr 2019: 11.9%; sample: 101May 2019: 14.4%; sample: 97Jun 2019: 16.7%; sample: 90Jul 2019: 30.1%; sample: 93Aug 2019: 37.6%; sample: 93Sep 2019: 24.1%; sample: 83Oct 2019: 31.0%; sample: 100Nov 2019: 17.0%; sample: 88Dec 2019: 40.7%; sample: 86Jan 2020: 24.4%; sample: 902020Feb 2020: 59.8%; sample: 82Mar 2020: 38.2%; sample: 34Apr 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: 28Aug 2020: 2.1%; sample: 48Sep 2020: 0.0%; sample: 32Oct 2020: 5.2%; sample: 58Nov 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: no data×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: 42.3%; sample: 26Oct 2021: 22.2%; sample: 27Nov 2021: 19.0%; sample: 21Dec 2021: 21.2%; sample: 33Jan 2022: 16.7%; sample: 242022Feb 2022: 15.0%; sample: 20Mar 2022: 27.8%; sample: 36Apr 2022: 36.7%; sample: 90May 2022: 45.7%; sample: 70Jun 2022: 62.2%; sample: 74Jul 2022: 39.7%; sample: 78Aug 2022: 22.0%; sample: 82Sep 2022: 37.5%; sample: 80Oct 2022: 34.7%; sample: 95Nov 2022: 14.5%; sample: 62Dec 2022: 33.9%; sample: 59Jan 2023: 34.9%; sample: 632023Feb 2023: 20.3%; sample: 74Mar 2023: 47.8%; sample: 92Apr 2023: 41.8%; sample: 79May 2023: 45.5%; sample: 88Jun 2023: 46.3%; sample: 82Jul 2023: 43.9%; sample: 82Aug 2023: 41.0%; sample: 78Sep 2023: 62.3%; sample: 61Oct 2023: 51.8%; sample: 83Nov 2023: 30.0%; sample: 80Dec 2023: 53.3%; sample: 75Jan 2024: 26.9%; sample: 782024Feb 2024: 30.7%; sample: 75Mar 2024: 23.8%; sample: 80Apr 2024: 39.0%; sample: 77May 2024: 45.1%; sample: 82Jun 2024: 42.0%; sample: 81Jul 2024: 51.8%; sample: 85Aug 2024: 44.6%; sample: 83Sep 2024: 50.0%; sample: 82Oct 2024: 40.9%; sample: 88Nov 2024: 24.7%; sample: 81Dec 2024: 37.3%; sample: 83Jan 2025: 26.6%; sample: 792025Feb 2025: 8.1%; sample: 74Mar 2025: 10.2%; sample: 88Apr 2025: 8.5%; sample: 82May 2025: 13.6%; sample: 81Jun 2025: 16.7%; sample: 78Jul 2025: 30.1%; sample: 83Aug 2025: 17.7%; sample: 79Sep 2025: 35.0%; sample: 80Oct 2025: 22.1%; sample: 86Nov 2025: 10.1%; sample: 89Dec 2025: 18.7%; sample: 91Jan 2026: 19.0%; sample: 842026Feb 2026: 11.4%; sample: 79Mar 2026: 5.4%; sample: 93Apr 2026: 14.8%; sample: 81May 2026: 14.6%; sample: 82Jun 2026: 28.7%; sample: 80Pandemic 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 201826.9% of 93 movements
Feb 201824.4% of 82 movements
Mar 201822.8% of 92 movements
Apr 201825.6% of 90 movements
May 201820.8% of 96 movements
Jun 201827.8% of 90 movements
Jul 201820.7% of 92 movements
Aug 201824.7% of 89 movements
Sep 201810.8% of 83 movements
Oct 201830.9% of 94 movements
Nov 201814.4% of 90 movements
Dec 201839.3% of 84 movements
Jan 20199.7% of 93 movements
Feb 201916.9% of 83 movements
Mar 201926.6% of 94 movements
Apr 201911.9% of 101 movements
May 201914.4% of 97 movements
Jun 201916.7% of 90 movements
Jul 201930.1% of 93 movements
Aug 201937.6% of 93 movements
Sep 201924.1% of 83 movements
Oct 201931.0% of 100 movements
Nov 201917.0% of 88 movements
Dec 201940.7% of 86 movements
Jan 202024.4% of 90 movements
Feb 202059.8% of 82 movements
Mar 202038.2% of 34 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020no events in 28 movements — small sample, not ranked
Aug 20202.1% of 48 movements — small sample, not ranked
Sep 2020no events in 32 movements — small sample, not ranked
Oct 20205.2% of 58 movements
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 2021no data
Jun 2021no data
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 202142.3% of 26 movements — small sample, not ranked
Oct 202122.2% of 27 movements — small sample, not ranked
Nov 202119.0% of 21 movements — small sample, not ranked
Dec 202121.2% of 33 movements — small sample, not ranked
Jan 202216.7% of 24 movements — small sample, not ranked
Feb 202215.0% of 20 movements — small sample, not ranked
Mar 202227.8% of 36 movements — small sample, not ranked
Apr 202236.7% of 90 movements
May 202245.7% of 70 movements
Jun 202262.2% of 74 movements
Jul 202239.7% of 78 movements
Aug 202222.0% of 82 movements
Sep 202237.5% of 80 movements
Oct 202234.7% of 95 movements
Nov 202214.5% of 62 movements
Dec 202233.9% of 59 movements
Jan 202334.9% of 63 movements
Feb 202320.3% of 74 movements
Mar 202347.8% of 92 movements
Apr 202341.8% of 79 movements
May 202345.5% of 88 movements
Jun 202346.3% of 82 movements
Jul 202343.9% of 82 movements
Aug 202341.0% of 78 movements
Sep 202362.3% of 61 movements
Oct 202351.8% of 83 movements
Nov 202330.0% of 80 movements
Dec 202353.3% of 75 movements
Jan 202426.9% of 78 movements
Feb 202430.7% of 75 movements
Mar 202423.8% of 80 movements
Apr 202439.0% of 77 movements
May 202445.1% of 82 movements
Jun 202442.0% of 81 movements
Jul 202451.8% of 85 movements
Aug 202444.6% of 83 movements
Sep 202450.0% of 82 movements
Oct 202440.9% of 88 movements
Nov 202424.7% of 81 movements
Dec 202437.3% of 83 movements
Jan 202526.6% of 79 movements
Feb 20258.1% of 74 movements
Mar 202510.2% of 88 movements
Apr 20258.5% of 82 movements
May 202513.6% of 81 movements
Jun 202516.7% of 78 movements
Jul 202530.1% of 83 movements
Aug 202517.7% of 79 movements
Sep 202535.0% of 80 movements
Oct 202522.1% of 86 movements
Nov 202510.1% of 89 movements
Dec 202518.7% of 91 movements
Jan 202619.0% of 84 movements
Feb 202611.4% of 79 movements
Mar 20265.4% of 93 movements
Apr 202614.8% of 81 movements
May 202614.6% of 82 movements
Jun 202628.7% of 80 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 2022Arrivals39.7% of 78 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures50.0% of 78 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals41.0% of 78 movements35.3% across 938 flightsreturned after 3 months
NATS system failure · Aug 2023Departures53.8% of 78 movements49.6% across 938 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals10.2% of 88 movements36.1% across 975 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures22.7% of 88 movements35.4% across 975 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?

December has historically been the hardest month on this route: in a typical December, 38.3% of arrivals were disrupted, measured across 6 Decembers in the archive. November has been the calmest, at 15.8% across 6 Novembers.

Even December has ranged from 18.7% to 53.3% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20199.7% of 93 movements16.9% of 83 movements26.6% of 94 movements11.9% of 101 movements14.4% of 97 movements16.7% of 90 movements30.1% of 93 movements37.6% of 93 movements24.1% of 83 movements31.0% of 100 movements17.0% of 88 movements40.7% of 86 movements202024.4% of 90 movements59.8% of 82 movements38.2% of 34 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 28 movements †2.1% of 48 movements †no events in 32 movements †5.2% of 58 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movements42.3% of 26 movements †22.2% of 27 movements †19.0% of 21 movements †21.2% of 33 movements †202216.7% of 24 movements †15.0% of 20 movements †27.8% of 36 movements †36.7% of 90 movements45.7% of 70 movements62.2% of 74 movements39.7% of 78 movements22.0% of 82 movements37.5% of 80 movements34.7% of 95 movements14.5% of 62 movements33.9% of 59 movements202334.9% of 63 movements20.3% of 74 movements47.8% of 92 movements41.8% of 79 movements45.5% of 88 movements46.3% of 82 movements43.9% of 82 movements41.0% of 78 movements62.3% of 61 movements51.8% of 83 movements30.0% of 80 movements53.3% of 75 movements202426.9% of 78 movements30.7% of 75 movements23.8% of 80 movements39.0% of 77 movements45.1% of 82 movements42.0% of 81 movements51.8% of 85 movements44.6% of 83 movements50.0% of 82 movements40.9% of 88 movements24.7% of 81 movements37.3% of 83 movements202526.6% of 79 movements8.1% of 74 movements10.2% of 88 movements8.5% of 82 movements13.6% of 81 movements16.7% of 78 movements30.1% of 83 movements17.7% of 79 movements35.0% of 80 movements22.1% of 86 movements10.1% of 89 movements18.7% of 91 movements202619.0% of 84 movements11.4% of 79 movements5.4% of 93 movements14.8% of 81 movements14.6% of 82 movements28.7% of 80 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan26.6%9.7–34.9%7 months, 514 flights
Feb16.9%8.1–30.7%7 months, 487 flights
Mar23.8%5.4–47.8%7 months, 575 flights
Apr25.6%8.5–41.8%7 months, 600 flights
May20.8%13.6–45.7%7 months, 596 flights
Jun28.7%16.7–62.2%7 months, 575 flights
Jul34.9%20.7–51.8%6 months, 513 flights
Aug31.2%17.7–44.6%6 months, 504 flights
Sep36.2%10.8–62.3%6 months, 469 flights
Oct32.9%22.1–51.8%6 months, 546 flights
Nov15.8%10.1–30.0%6 months, 490 flights
Dec38.3%18.7–53.3%6 months, 478 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, 18.8% of 1,005 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 Airways18.8% of 1,005 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ba Euroflyer British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways1,00518.8% of 1,005 movements2.0% of 1,005 movements0.3% of 1,005 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, MAN had the lowest disruption share at 23.4% of 192 movements and GLA the highest at 42.9% of 21 movements — small sample, not ranked. This route sits at 18.8% of 1,007 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 optionEdi ↔ Bologna26.2% of 130 flightsGla ↔ Bologna †42.9% of 21 flightsLtn ↔ Bologna24.3% of 214 flightsMan ↔ Bologna23.4% of 192 flightsStn ↔ Bologna29.5% of 587 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Bolognasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Bolognasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Bolognasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Bolognasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Bolognasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Bolognasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Bologna13026.2% of 130 movementsno events in 130 movementsno events in 130 movementsdescriptive comparison
Ema ↔ Bolognasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Bologna2142.9% of 21 movements — small sample, not rankedno events in 21 movements — small sample, not rankedno events in 21 movements — small sample, not rankedsmall sample; not ranked
Lcy ↔ Bolognasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Bolognasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Bolognasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Bologna21424.3% of 214 movements0.5% of 214 movements0.9% of 214 movementsdescriptive comparison
Man ↔ Bologna19223.4% of 192 movementsno events in 192 movementsno events in 192 movementsdescriptive comparison
Sen ↔ Bolognasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Bologna58729.5% of 587 movements0.2% of 587 movements0.5% of 587 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 18.8% of 1,007 movements disrupted, departures 23.6% of 1,007 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 LHR18.8% of 1,007 movements2.0% of 1,007 movements0.3% of 1,007 movements
Departures from LHR23.6% of 1,007 movements1.5% of 1,007 movementsno events in 1,007 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 202642 flights out of 6,87042 × £220 = £9,240
ArrivalsLast 72 months · Jul 2020–Jun 202631 flights out of 4,48831 × £220 = £6,820
DeparturesWhole archive · Jan 2018–Jun 202615 flights out of 6,85715 × £220 = £3,300
DeparturesLast 72 months · Jul 2020–Jun 202612 flights out of 4,47412 × £220 = £2,640
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 / countryBOLOGNA / ITALY
Final point codesBLQ / LIPE
Great-circle distance1,163 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.70
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 archive95

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: 1,007; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

18.8% of 1,007 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.0% of 1,007 movements in the same window.

How many delays crossed three hours?

0.3% of 1,007 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?

1,163 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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