UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ SAN FRANCISCO

In the twelve months from July 2025 to June 2026, 19.6% of 2,194 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, 80.4% of 2,194 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 169 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, 19.6% of 2,194 movements were disrupted and 0.8% of 2,194 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
19.6% of 2,194 movements0.8% of 2,194 movements23.9–60.9 min; N of delayed flights=412–9562,194
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 2,194 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 min18.8%30 min9.4%60 min4.1%120 min1.5%180 min0.6%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min18.8% of 2,194 movements4125.3
>30 min9.4% of 2,194 movements20710.6
>60 min4.1% of 2,194 movements9124.1
>120 min1.5% of 2,194 movements3268.6
>180 min0.6% of 2,194 movements13168.8
>360 min0.0% of 2,194 movements12,194.0
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 early52223.8%15–1 early69831.8%0–15 late54424.8%16–302059.3%31–601165.3%61…120592.7%121…180190.9%181…360120.5%>36010.0%D=2,194
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0405; 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, 3.5% of 57 movements. Worst month: Mar 2023, 36.9% of 168 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: 13.7%; sample: 1752018Feb 2018: 10.7%; sample: 159Mar 2018: 20.3%; sample: 177Apr 2018: 11.8%; sample: 178May 2018: 18.3%; sample: 186Jun 2018: 18.3%; sample: 180Jul 2018: 10.2%; sample: 186Aug 2018: 10.2%; sample: 186Sep 2018: 4.4%; sample: 180Oct 2018: 10.8%; sample: 186Nov 2018: 27.6%; sample: 170Dec 2018: 23.6%; sample: 174Jan 2019: 13.3%; sample: 1812019Feb 2019: 13.4%; sample: 164Mar 2019: 18.9%; sample: 180Apr 2019: 20.1%; sample: 169May 2019: 19.2%; sample: 182Jun 2019: 26.9%; sample: 175Jul 2019: 14.3%; sample: 182Aug 2019: 15.5%; sample: 181Sep 2019: 18.7%; sample: 171Oct 2019: 17.6%; sample: 182Nov 2019: 16.4%; sample: 171Dec 2019: 22.4%; sample: 170Jan 2020: 13.0%; sample: 1622020Feb 2020: 11.9%; sample: 151Mar 2020: 13.4%; sample: 134Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: 0.0%; sample: 22Jul 2020: 3.2%; sample: 31Aug 2020: 3.9%; sample: 51Sep 2020: 3.5%; sample: 57Oct 2020: 8.1%; sample: 62Nov 2020: 8.1%; sample: 37Dec 2020: 10.8%; sample: 37Jan 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: 3.4%; sample: 29Jul 2021: 4.9%; sample: 61Aug 2021: 9.5%; sample: 63Sep 2021: 6.7%; sample: 90Oct 2021: 14.0%; sample: 107Nov 2021: 17.1%; sample: 105Dec 2021: 16.8%; sample: 107Jan 2022: 12.3%; sample: 1142022Feb 2022: 13.8%; sample: 87Mar 2022: 19.4%; sample: 129Apr 2022: 10.8%; sample: 166May 2022: 16.7%; sample: 186Jun 2022: 32.3%; sample: 201Jul 2022: 31.9%; sample: 207Aug 2022: 15.9%; sample: 207Sep 2022: 17.5%; sample: 200Oct 2022: 21.1%; sample: 175Nov 2022: 19.6%; sample: 143Dec 2022: 33.6%; sample: 152Jan 2023: 22.0%; sample: 1412023Feb 2023: 14.6%; sample: 123Mar 2023: 36.9%; sample: 168Apr 2023: 31.7%; sample: 208May 2023: 36.1%; sample: 216Jun 2023: 30.0%; sample: 210Jul 2023: 23.4%; sample: 218Aug 2023: 34.4%; sample: 212Sep 2023: 28.2%; sample: 209Oct 2023: 20.3%; sample: 212Nov 2023: 31.0%; sample: 145Dec 2023: 31.5%; sample: 149Jan 2024: 27.7%; sample: 1412024Feb 2024: 14.6%; sample: 137Mar 2024: 33.3%; sample: 156Apr 2024: 30.0%; sample: 210May 2024: 34.6%; sample: 217Jun 2024: 18.6%; sample: 210Jul 2024: 25.5%; sample: 216Aug 2024: 21.7%; sample: 217Sep 2024: 29.0%; sample: 210Oct 2024: 20.6%; sample: 209Nov 2024: 23.6%; sample: 148Dec 2024: 27.7%; sample: 155Jan 2025: 25.3%; sample: 1502025Feb 2025: 21.3%; sample: 122Mar 2025: 17.9%; sample: 156Apr 2025: 17.0%; sample: 182May 2025: 23.4%; sample: 214Jun 2025: 18.1%; sample: 210Jul 2025: 14.2%; sample: 218Aug 2025: 12.9%; sample: 217Sep 2025: 22.7%; sample: 211Oct 2025: 16.6%; sample: 193Nov 2025: 19.7%; sample: 147Dec 2025: 25.2%; sample: 151Jan 2026: 22.7%; sample: 1502026Feb 2026: 14.7%; sample: 136Mar 2026: 7.7%; sample: 156Apr 2026: 19.6%; sample: 189May 2026: 24.4%; sample: 217Jun 2026: 32.5%; sample: 209Pandemic 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 201813.7% of 175 movements
Feb 201810.7% of 159 movements
Mar 201820.3% of 177 movements
Apr 201811.8% of 178 movements
May 201818.3% of 186 movements
Jun 201818.3% of 180 movements
Jul 201810.2% of 186 movements
Aug 201810.2% of 186 movements
Sep 20184.4% of 180 movements
Oct 201810.8% of 186 movements
Nov 201827.6% of 170 movements
Dec 201823.6% of 174 movements
Jan 201913.3% of 181 movements
Feb 201913.4% of 164 movements
Mar 201918.9% of 180 movements
Apr 201920.1% of 169 movements
May 201919.2% of 182 movements
Jun 201926.9% of 175 movements
Jul 201914.3% of 182 movements
Aug 201915.5% of 181 movements
Sep 201918.7% of 171 movements
Oct 201917.6% of 182 movements
Nov 201916.4% of 171 movements
Dec 201922.4% of 170 movements
Jan 202013.0% of 162 movements
Feb 202011.9% of 151 movements
Mar 202013.4% of 134 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020no events in 22 movements — small sample, not ranked
Jul 20203.2% of 31 movements — small sample, not ranked
Aug 20203.9% of 51 movements
Sep 20203.5% of 57 movements
Oct 20208.1% of 62 movements
Nov 20208.1% of 37 movements — small sample, not ranked
Dec 202010.8% of 37 movements — small sample, not ranked
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 20213.4% of 29 movements — small sample, not ranked
Jul 20214.9% of 61 movements
Aug 20219.5% of 63 movements
Sep 20216.7% of 90 movements
Oct 202114.0% of 107 movements
Nov 202117.1% of 105 movements
Dec 202116.8% of 107 movements
Jan 202212.3% of 114 movements
Feb 202213.8% of 87 movements
Mar 202219.4% of 129 movements
Apr 202210.8% of 166 movements
May 202216.7% of 186 movements
Jun 202232.3% of 201 movements
Jul 202231.9% of 207 movements
Aug 202215.9% of 207 movements
Sep 202217.5% of 200 movements
Oct 202221.1% of 175 movements
Nov 202219.6% of 143 movements
Dec 202233.6% of 152 movements
Jan 202322.0% of 141 movements
Feb 202314.6% of 123 movements
Mar 202336.9% of 168 movements
Apr 202331.7% of 208 movements
May 202336.1% of 216 movements
Jun 202330.0% of 210 movements
Jul 202323.4% of 218 movements
Aug 202334.4% of 212 movements
Sep 202328.2% of 209 movements
Oct 202320.3% of 212 movements
Nov 202331.0% of 145 movements
Dec 202331.5% of 149 movements
Jan 202427.7% of 141 movements
Feb 202414.6% of 137 movements
Mar 202433.3% of 156 movements
Apr 202430.0% of 210 movements
May 202434.6% of 217 movements
Jun 202418.6% of 210 movements
Jul 202425.5% of 216 movements
Aug 202421.7% of 217 movements
Sep 202429.0% of 210 movements
Oct 202420.6% of 209 movements
Nov 202423.6% of 148 movements
Dec 202427.7% of 155 movements
Jan 202525.3% of 150 movements
Feb 202521.3% of 122 movements
Mar 202517.9% of 156 movements
Apr 202517.0% of 182 movements
May 202523.4% of 214 movements
Jun 202518.1% of 210 movements
Jul 202514.2% of 218 movements
Aug 202512.9% of 217 movements
Sep 202522.7% of 211 movements
Oct 202516.6% of 193 movements
Nov 202519.7% of 147 movements
Dec 202525.2% of 151 movements
Jan 202622.7% of 150 movements
Feb 202614.7% of 136 movements
Mar 20267.7% of 156 movements
Apr 202619.6% of 189 movements
May 202624.4% of 217 movements
Jun 202632.5% of 209 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 2020Arrivalsno events in 22 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures8.7% of 23 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals31.9% of 207 movements14.5% across 1,416 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures55.8% of 206 movements30.9% across 1,416 flightsreturned after 3 months
NATS system failure · Aug 2023Arrivals34.4% of 212 movements25.2% across 2,161 flightsreturned after 2 months
NATS system failure · Aug 2023Departures39.3% of 211 movements42.7% across 2,159 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals17.9% of 156 movements25.9% across 2,220 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures25.0% of 156 movements29.8% across 2,217 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, 26.9% of arrivals were disrupted, measured across 7 Junes in the archive. February has been the calmest, at 14.6% across 7 Februarys.

Even June has ranged from 18.1% to 32.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201913.3% of 181 movements13.4% of 164 movements18.9% of 180 movements20.1% of 169 movements19.2% of 182 movements26.9% of 175 movements14.3% of 182 movements15.5% of 181 movements18.7% of 171 movements17.6% of 182 movements16.4% of 171 movements22.4% of 170 movements202013.0% of 162 movements11.9% of 151 movements13.4% of 134 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 22 movements †3.2% of 31 movements †3.9% of 51 movements3.5% of 57 movements8.1% of 62 movements8.1% of 37 movements †10.8% of 37 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.4% of 29 movements †4.9% of 61 movements9.5% of 63 movements6.7% of 90 movements14.0% of 107 movements17.1% of 105 movements16.8% of 107 movements202212.3% of 114 movements13.8% of 87 movements19.4% of 129 movements10.8% of 166 movements16.7% of 186 movements32.3% of 201 movements31.9% of 207 movements15.9% of 207 movements17.5% of 200 movements21.1% of 175 movements19.6% of 143 movements33.6% of 152 movements202322.0% of 141 movements14.6% of 123 movements36.9% of 168 movements31.7% of 208 movements36.1% of 216 movements30.0% of 210 movements23.4% of 218 movements34.4% of 212 movements28.2% of 209 movements20.3% of 212 movements31.0% of 145 movements31.5% of 149 movements202427.7% of 141 movements14.6% of 137 movements33.3% of 156 movements30.0% of 210 movements34.6% of 217 movements18.6% of 210 movements25.5% of 216 movements21.7% of 217 movements29.0% of 210 movements20.6% of 209 movements23.6% of 148 movements27.7% of 155 movements202525.3% of 150 movements21.3% of 122 movements17.9% of 156 movements17.0% of 182 movements23.4% of 214 movements18.1% of 210 movements14.2% of 218 movements12.9% of 217 movements22.7% of 211 movements16.6% of 193 movements19.7% of 147 movements25.2% of 151 movements202622.7% of 150 movements14.7% of 136 movements7.7% of 156 movements19.6% of 189 movements24.4% of 217 movements32.5% of 209 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.0%12.3–27.7%7 months, 1,052 flights
Feb14.6%10.7–21.3%7 months, 928 flights
Mar19.4%7.7–36.9%7 months, 1,122 flights
Apr19.6%10.8–31.7%7 months, 1,302 flights
May23.4%16.7–36.1%7 months, 1,418 flights
Jun26.9%18.1–32.5%7 months, 1,395 flights
Jul18.8%10.2–31.9%6 months, 1,227 flights
Aug15.7%10.2–34.4%6 months, 1,220 flights
Sep20.7%4.4–29.0%6 months, 1,181 flights
Oct18.9%10.8–21.1%6 months, 1,157 flights
Nov21.7%16.4–31.0%6 months, 924 flights
Dec26.5%22.4–33.6%6 months, 951 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 16.5% of 713 movements, United Airlines 20.0% of 942 movements, Virgin Atlantic Airways 23.0% of 539 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 Airways16.5% of 713 flightsUnited Airlines20.0% of 942 flightsVirgin Atlantic Airways23.0% of 539 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways71316.5% of 713 movements1.0% of 713 movements0.6% of 713 movementsdescriptive comparison
United Airlines94220.0% of 942 movements0.6% of 942 movements0.8% of 942 movementsdescriptive comparison
Virgin Atlantic Airways53923.0% of 539 movements0.9% of 539 movements0.2% of 539 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?

No other UK airport published enough flights to this city in this window.

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.

Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ San-Franciscosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ San-Franciscosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ San-Franciscosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ San-Franciscosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ San-Franciscosuppressed: 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 LHR ran 19.6% of 2,194 movements disrupted, departures 23.0% of 2,194 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 LHR19.6% of 2,194 movements0.8% of 2,194 movements0.6% of 2,194 movements
Departures from LHR23.0% of 2,194 movements1.1% of 2,194 movements0.6% of 2,194 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 2026129 flights out of 15,255129 × £520 = £67,080
ArrivalsLast 72 months · Jul 2020–Jun 2026100 flights out of 10,539100 × £520 = £52,000
DeparturesWhole archive · Jan 2018–Jun 2026109 flights out of 15,250109 × £520 = £56,680
DeparturesLast 72 months · Jul 2020–Jun 202688 flights out of 10,53188 × £520 = £45,760
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 / countrySAN FRANCISCO / USA
Final point codesSFO / KSFO
Great-circle distance8,616 km
Maximum statutory amount for the band£520
Average operated arrivals per day5.96
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 archive101

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: 2,194; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

19.6% of 2,194 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 2,194 movements in the same window.

How many delays crossed three hours?

0.6% of 2,194 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?

8,616 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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