UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ STUTTGART

In the twelve months from July 2025 to June 2026, 25.4% of 1,435 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, 74.6% of 1,435 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 718 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, 25.4% of 1,435 movements were disrupted and 0.8% of 1,435 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
25.4% of 1,435 movements0.8% of 1,435 movements23.4–56.0 min; N of delayed flights=354–7851,435
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: 0.8% of 1,435 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 min24.7%30 min13.4%60 min4.4%120 min1.3%180 min0.1%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min24.7% of 1,435 movements3544.1
>30 min13.4% of 1,435 movements1927.5
>60 min4.4% of 1,435 movements6322.8
>120 min1.3% of 1,435 movements1879.7
>180 min0.1% of 1,435 movements2717.5
>360 min0.1% of 1,435 movements11,435.0
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?

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 early15911.1%15–1 early48033.4%0–15 late43130.0%16–3016211.3%31–601299.0%61…120453.1%121…180161.1%181…36010.1%>36010.1%D=1,435
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0069; 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, no events in 64 movements. Worst month: Aug 2024, 46.0% of 137 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: 23.6%; sample: 1402018Feb 2018: 13.3%; sample: 128Mar 2018: 16.4%; sample: 140Apr 2018: 37.9%; sample: 132May 2018: 33.3%; sample: 138Jun 2018: 42.3%; sample: 130Jul 2018: 39.1%; sample: 138Aug 2018: 35.3%; sample: 139Sep 2018: 31.5%; sample: 130Oct 2018: 42.3%; sample: 137Nov 2018: 22.3%; sample: 130Dec 2018: 28.6%; sample: 126Jan 2019: 13.0%; sample: 1232019Feb 2019: 12.9%; sample: 124Mar 2019: 19.3%; sample: 135Apr 2019: 13.4%; sample: 134May 2019: 18.1%; sample: 138Jun 2019: 30.0%; sample: 130Jul 2019: 28.1%; sample: 139Aug 2019: 22.1%; sample: 136Sep 2019: 22.0%; sample: 127Oct 2019: 27.7%; sample: 137Nov 2019: 6.4%; sample: 125Dec 2019: 22.1%; sample: 122Jan 2020: 8.9%; sample: 1232020Feb 2020: 36.9%; sample: 122Mar 2020: 4.5%; sample: 89Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 4.3%; sample: 23Aug 2020: 5.3%; sample: 38Sep 2020: 0.0%; sample: 49Oct 2020: 0.0%; sample: 64Nov 2020: 0.0%; sample: 23Dec 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: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: 9.3%; sample: 43Oct 2021: 5.8%; sample: 52Nov 2021: 13.3%; sample: 60Dec 2021: 9.4%; sample: 53Jan 2022: 5.0%; sample: 202022Feb 2022: 24.0%; sample: 25Mar 2022: 13.3%; sample: 75Apr 2022: 21.3%; sample: 89May 2022: 21.1%; sample: 133Jun 2022: 37.3%; sample: 118Jul 2022: 24.3%; sample: 111Aug 2022: 19.6%; sample: 107Sep 2022: 34.9%; sample: 106Oct 2022: 28.1%; sample: 114Nov 2022: 17.4%; sample: 138Dec 2022: 34.1%; sample: 129Jan 2023: 24.6%; sample: 1142023Feb 2023: 25.8%; sample: 128Mar 2023: 32.9%; sample: 146Apr 2023: 17.3%; sample: 150May 2023: 15.2%; sample: 151Jun 2023: 20.9%; sample: 148Jul 2023: 24.5%; sample: 147Aug 2023: 34.0%; sample: 150Sep 2023: 24.1%; sample: 137Oct 2023: 20.4%; sample: 152Nov 2023: 17.4%; sample: 132Dec 2023: 43.2%; sample: 125Jan 2024: 14.9%; sample: 1142024Feb 2024: 18.2%; sample: 132Mar 2024: 18.8%; sample: 144Apr 2024: 30.4%; sample: 135May 2024: 28.2%; sample: 142Jun 2024: 35.9%; sample: 131Jul 2024: 43.3%; sample: 141Aug 2024: 46.0%; sample: 137Sep 2024: 45.5%; sample: 134Oct 2024: 36.4%; sample: 143Nov 2024: 18.2%; sample: 132Dec 2024: 33.8%; sample: 136Jan 2025: 19.3%; sample: 1352025Feb 2025: 9.4%; sample: 127Mar 2025: 18.1%; sample: 138Apr 2025: 7.1%; sample: 140May 2025: 18.8%; sample: 138Jun 2025: 18.7%; sample: 134Jul 2025: 33.6%; sample: 143Aug 2025: 25.7%; sample: 140Sep 2025: 38.2%; sample: 136Oct 2025: 25.9%; sample: 143Nov 2025: 14.1%; sample: 135Dec 2025: 25.7%; sample: 140Jan 2026: 22.3%; sample: 1122026Feb 2026: 11.9%; sample: 118Mar 2026: 14.9%; sample: 134Apr 2026: 30.8%; sample: 78May 2026: 34.6%; sample: 78Jun 2026: 34.6%; sample: 78Pandemic 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 201823.6% of 140 movements
Feb 201813.3% of 128 movements
Mar 201816.4% of 140 movements
Apr 201837.9% of 132 movements
May 201833.3% of 138 movements
Jun 201842.3% of 130 movements
Jul 201839.1% of 138 movements
Aug 201835.3% of 139 movements
Sep 201831.5% of 130 movements
Oct 201842.3% of 137 movements
Nov 201822.3% of 130 movements
Dec 201828.6% of 126 movements
Jan 201913.0% of 123 movements
Feb 201912.9% of 124 movements
Mar 201919.3% of 135 movements
Apr 201913.4% of 134 movements
May 201918.1% of 138 movements
Jun 201930.0% of 130 movements
Jul 201928.1% of 139 movements
Aug 201922.1% of 136 movements
Sep 201922.0% of 127 movements
Oct 201927.7% of 137 movements
Nov 20196.4% of 125 movements
Dec 201922.1% of 122 movements
Jan 20208.9% of 123 movements
Feb 202036.9% of 122 movements
Mar 20204.5% of 89 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20204.3% of 23 movements — small sample, not ranked
Aug 20205.3% of 38 movements — small sample, not ranked
Sep 2020no events in 49 movements — small sample, not ranked
Oct 2020no events in 64 movements
Nov 2020no events in 23 movements — small sample, not ranked
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 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 20219.3% of 43 movements — small sample, not ranked
Oct 20215.8% of 52 movements
Nov 202113.3% of 60 movements
Dec 20219.4% of 53 movements
Jan 20225.0% of 20 movements — small sample, not ranked
Feb 202224.0% of 25 movements — small sample, not ranked
Mar 202213.3% of 75 movements
Apr 202221.3% of 89 movements
May 202221.1% of 133 movements
Jun 202237.3% of 118 movements
Jul 202224.3% of 111 movements
Aug 202219.6% of 107 movements
Sep 202234.9% of 106 movements
Oct 202228.1% of 114 movements
Nov 202217.4% of 138 movements
Dec 202234.1% of 129 movements
Jan 202324.6% of 114 movements
Feb 202325.8% of 128 movements
Mar 202332.9% of 146 movements
Apr 202317.3% of 150 movements
May 202315.2% of 151 movements
Jun 202320.9% of 148 movements
Jul 202324.5% of 147 movements
Aug 202334.0% of 150 movements
Sep 202324.1% of 137 movements
Oct 202320.4% of 152 movements
Nov 202317.4% of 132 movements
Dec 202343.2% of 125 movements
Jan 202414.9% of 114 movements
Feb 202418.2% of 132 movements
Mar 202418.8% of 144 movements
Apr 202430.4% of 135 movements
May 202428.2% of 142 movements
Jun 202435.9% of 131 movements
Jul 202443.3% of 141 movements
Aug 202446.0% of 137 movements
Sep 202445.5% of 134 movements
Oct 202436.4% of 143 movements
Nov 202418.2% of 132 movements
Dec 202433.8% of 136 movements
Jan 202519.3% of 135 movements
Feb 20259.4% of 127 movements
Mar 202518.1% of 138 movements
Apr 20257.1% of 140 movements
May 202518.8% of 138 movements
Jun 202518.7% of 134 movements
Jul 202533.6% of 143 movements
Aug 202525.7% of 140 movements
Sep 202538.2% of 136 movements
Oct 202525.9% of 143 movements
Nov 202514.1% of 135 movements
Dec 202525.7% of 140 movements
Jan 202622.3% of 112 movements
Feb 202611.9% of 118 movements
Mar 202614.9% of 134 movements
Apr 202630.8% of 78 movements
May 202634.6% of 78 movements
Jun 202634.6% of 78 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 2022Arrivals24.3% of 111 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures49.5% of 111 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals34.0% of 150 movements24.6% across 1,578 flightsreturned the next month
NATS system failure · Aug 2023Departures51.3% of 150 movements37.4% across 1,582 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals18.1% of 138 movements30.4% across 1,637 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures24.6% of 138 movements31.2% across 1,636 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?

June has historically been the hardest month on this route: in a typical June, 34.6% of arrivals were disrupted, measured across 7 Junes in the archive. February has been the calmest, at 13.3% across 7 Februarys.

Even June has ranged from 18.7% to 42.3% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201913.0% of 123 movements12.9% of 124 movements19.3% of 135 movements13.4% of 134 movements18.1% of 138 movements30.0% of 130 movements28.1% of 139 movements22.1% of 136 movements22.0% of 127 movements27.7% of 137 movements6.4% of 125 movements22.1% of 122 movements20208.9% of 123 movements36.9% of 122 movements4.5% of 89 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements4.3% of 23 movements †5.3% of 38 movements †no events in 49 movements †no events in 64 movementsno events in 23 movements †suppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements9.3% of 43 movements †5.8% of 52 movements13.3% of 60 movements9.4% of 53 movements20225.0% of 20 movements †24.0% of 25 movements †13.3% of 75 movements21.3% of 89 movements21.1% of 133 movements37.3% of 118 movements24.3% of 111 movements19.6% of 107 movements34.9% of 106 movements28.1% of 114 movements17.4% of 138 movements34.1% of 129 movements202324.6% of 114 movements25.8% of 128 movements32.9% of 146 movements17.3% of 150 movements15.2% of 151 movements20.9% of 148 movements24.5% of 147 movements34.0% of 150 movements24.1% of 137 movements20.4% of 152 movements17.4% of 132 movements43.2% of 125 movements202414.9% of 114 movements18.2% of 132 movements18.8% of 144 movements30.4% of 135 movements28.2% of 142 movements35.9% of 131 movements43.3% of 141 movements46.0% of 137 movements45.5% of 134 movements36.4% of 143 movements18.2% of 132 movements33.8% of 136 movements202519.3% of 135 movements9.4% of 127 movements18.1% of 138 movements7.1% of 140 movements18.8% of 138 movements18.7% of 134 movements33.6% of 143 movements25.7% of 140 movements38.2% of 136 movements25.9% of 143 movements14.1% of 135 movements25.7% of 140 movements202622.3% of 112 movements11.9% of 118 movements14.9% of 134 movements30.8% of 78 movements34.6% of 78 movements34.6% of 78 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan19.3%5.0–24.6%7 months, 758 flights
Feb13.3%9.4–25.8%7 months, 782 flights
Mar18.1%13.3–32.9%7 months, 912 flights
Apr21.3%7.1–37.9%7 months, 858 flights
May21.1%15.2–34.6%7 months, 918 flights
Jun34.6%18.7–42.3%7 months, 869 flights
Jul30.8%24.3–43.3%6 months, 819 flights
Aug29.9%19.6–46.0%6 months, 809 flights
Sep33.2%22.0–45.5%6 months, 770 flights
Oct27.9%20.4–42.3%6 months, 826 flights
Nov17.4%6.4–22.3%6 months, 792 flights
Dec31.2%22.1–43.2%6 months, 778 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: British Airways 17.7% of 515 movements, Eurowings Luftverkehrs 29.8% of 920 movements. Observed shares differ; the mix of operations is not matched, so no causal conclusion follows.

Figures cover arrivals, July 2025 to June 2026; lower is better in every column. Carriers with fewer than twenty published flights are suppressed rather than shown as zero. The page makes no ranking: the operations behind these shares are not matched for aircraft, time of day or season.

Observed disruption share by optionBritish Airways17.7% of 515 flightsEurowings Luftverkehrs29.8% of 920 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways51517.7% of 515 movements1.0% of 515 movements0.2% of 515 movementsdescriptive comparison
Eurowings Luftverkehrs92029.8% of 920 movements0.7% of 920 movements0.1% of 920 movementsdescriptive comparison
Germanwingssuppressed: 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, LGW had the lowest disruption share at 29.2% of 65 movements and EDI the highest at 40.3% of 129 movements. This route sits at 25.4% of 1,435 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 ↔ Stuttgart40.3% of 129 flightsLgw ↔ Stuttgart29.2% of 65 flightsMan ↔ Stuttgart30.8% of 159 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhd ↔ Stuttgartsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Stuttgartsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Stuttgartsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Stuttgartsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Stuttgartsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Stuttgart12940.3% of 129 movements2.3% of 129 movements0.8% of 129 movementsdescriptive comparison
Ema ↔ Stuttgartsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Stuttgartsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Stuttgartsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Stuttgart6529.2% of 65 movements1.5% of 65 movementsno events in 65 movementsdescriptive comparison
Lpl ↔ Stuttgartsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Stuttgartsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Stuttgart15930.8% of 159 movements8.2% of 159 movementsno events in 159 movementsdescriptive comparison
Mme ↔ Stuttgartsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Stuttgartsuppressed: 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 25.4% of 1,435 movements disrupted, departures 27.3% of 1,435 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 LHR25.4% of 1,435 movements0.8% of 1,435 movements0.1% of 1,435 movements
Departures from LHR27.3% of 1,435 movements0.8% of 1,435 movements0.1% of 1,435 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 202633 flights out of 10,70633 × £220 = £7,260
ArrivalsLast 72 months · Jul 2020–Jun 202621 flights out of 7,17721 × £220 = £4,620
DeparturesWhole archive · Jan 2018–Jun 202631 flights out of 10,70431 × £220 = £6,820
DeparturesLast 72 months · Jul 2020–Jun 202616 flights out of 7,17616 × £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 / countrySTUTTGART / GERMANY
Final point codesSTR / EDDS
Great-circle distance756 km
Maximum statutory amount for the band£220
Average operated arrivals per day3.90
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: 1,435; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

25.4% of 1,435 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.8% of 1,435 movements in the same window.

How many delays crossed three hours?

0.1% of 1,435 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?

756 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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