UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ ATLANTA

In the twelve months from July 2025 to June 2026, 20.2% of 1,824 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, 79.8% of 1,824 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 203 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, 20.2% of 1,824 movements were disrupted and 1.0% of 1,824 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
20.2% of 1,824 movements1.0% of 1,824 movements28.1–64.1 min; N of delayed flights=349–7331,824
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: 1.0% of 1,824 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 min19.1%30 min10.8%60 min4.9%120 min1.6%180 min0.5%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min19.1% of 1,824 movements3495.2
>30 min10.8% of 1,824 movements1979.3
>60 min4.9% of 1,824 movements8920.5
>120 min1.6% of 1,824 movements3060.8
>180 min0.5% of 1,824 movements9202.7
>360 min0.1% of 1,824 movements11,824.0
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 early52028.5%15–1 early55230.3%0–15 late38421.1%16–301528.3%31–601085.9%61…120593.2%121…180211.2%181…36080.4%>36010.1%D=1,824
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0346; 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: Apr 2019, 5.0% of 119 movements. Worst month: Jun 2023, 60.3% of 121 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: 24.3%; sample: 1362018Feb 2018: 19.2%; sample: 104Mar 2018: 29.0%; sample: 131Apr 2018: 17.5%; sample: 120May 2018: 33.1%; sample: 124Jun 2018: 45.8%; sample: 120Jul 2018: 37.6%; sample: 125Aug 2018: 33.1%; sample: 124Sep 2018: 15.8%; sample: 120Oct 2018: 14.8%; sample: 122Nov 2018: 16.0%; sample: 100Dec 2018: 19.4%; sample: 103Jan 2019: 15.9%; sample: 1072019Feb 2019: 15.9%; sample: 107Mar 2019: 10.2%; sample: 137Apr 2019: 5.0%; sample: 119May 2019: 12.9%; sample: 124Jun 2019: 36.7%; sample: 120Jul 2019: 27.4%; sample: 124Aug 2019: 22.6%; sample: 124Sep 2019: 22.9%; sample: 118Oct 2019: 15.2%; sample: 125Nov 2019: 14.3%; sample: 119Dec 2019: 14.8%; sample: 122Jan 2020: 12.3%; sample: 1222020Feb 2020: 12.0%; sample: 117Mar 2020: 8.5%; sample: 94Apr 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: suppressed: fewer than twenty movements×Sep 2020: 5.9%; sample: 34Oct 2020: 9.6%; sample: 73Nov 2020: 28.9%; sample: 45Dec 2020: 42.9%; sample: 49Jan 2021: 22.0%; sample: 412021Feb 2021: 16.7%; sample: 30Mar 2021: 25.6%; sample: 43Apr 2021: 21.4%; sample: 42May 2021: 13.3%; sample: 45Jun 2021: 25.0%; sample: 44Jul 2021: 49.0%; sample: 49Aug 2021: 52.8%; sample: 53Sep 2021: 16.9%; sample: 89Oct 2021: 17.0%; sample: 94Nov 2021: 28.9%; sample: 90Dec 2021: 48.9%; sample: 90Jan 2022: 18.2%; sample: 882022Feb 2022: 17.1%; sample: 76Mar 2022: 30.1%; sample: 93Apr 2022: 22.2%; sample: 90May 2022: 23.1%; sample: 117Jun 2022: 42.9%; sample: 112Jul 2022: 33.0%; sample: 115Aug 2022: 18.3%; sample: 115Sep 2022: 25.0%; sample: 112Oct 2022: 24.1%; sample: 116Nov 2022: 23.3%; sample: 120Dec 2022: 60.2%; sample: 113Jan 2023: 35.0%; sample: 1202023Feb 2023: 35.7%; sample: 112Mar 2023: 50.0%; sample: 124Apr 2023: 32.5%; sample: 120May 2023: 44.4%; sample: 124Jun 2023: 60.3%; sample: 121Jul 2023: 54.0%; sample: 126Aug 2023: 37.1%; sample: 124Sep 2023: 36.4%; sample: 121Oct 2023: 31.2%; sample: 125Nov 2023: 24.4%; sample: 119Dec 2023: 29.3%; sample: 123Jan 2024: 27.0%; sample: 1222024Feb 2024: 30.4%; sample: 115Mar 2024: 28.0%; sample: 125Apr 2024: 35.0%; sample: 120May 2024: 48.0%; sample: 150Jun 2024: 38.0%; sample: 150Jul 2024: 56.1%; sample: 155Aug 2024: 35.3%; sample: 156Sep 2024: 46.1%; sample: 152Oct 2024: 38.7%; sample: 155Nov 2024: 44.5%; sample: 146Dec 2024: 50.0%; sample: 156Jan 2025: 36.9%; sample: 1572025Feb 2025: 16.5%; sample: 139Mar 2025: 34.4%; sample: 154Apr 2025: 30.0%; sample: 150May 2025: 29.0%; sample: 155Jun 2025: 30.5%; sample: 151Jul 2025: 27.7%; sample: 155Aug 2025: 24.4%; sample: 156Sep 2025: 10.0%; sample: 150Oct 2025: 24.5%; sample: 155Nov 2025: 16.1%; sample: 149Dec 2025: 32.3%; sample: 155Jan 2026: 19.6%; sample: 1532026Feb 2026: 17.4%; sample: 138Mar 2026: 17.4%; sample: 155Apr 2026: 18.0%; sample: 150May 2026: 18.6%; sample: 156Jun 2026: 15.1%; sample: 152Pandemic 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 201824.3% of 136 movements
Feb 201819.2% of 104 movements
Mar 201829.0% of 131 movements
Apr 201817.5% of 120 movements
May 201833.1% of 124 movements
Jun 201845.8% of 120 movements
Jul 201837.6% of 125 movements
Aug 201833.1% of 124 movements
Sep 201815.8% of 120 movements
Oct 201814.8% of 122 movements
Nov 201816.0% of 100 movements
Dec 201819.4% of 103 movements
Jan 201915.9% of 107 movements
Feb 201915.9% of 107 movements
Mar 201910.2% of 137 movements
Apr 20195.0% of 119 movements
May 201912.9% of 124 movements
Jun 201936.7% of 120 movements
Jul 201927.4% of 124 movements
Aug 201922.6% of 124 movements
Sep 201922.9% of 118 movements
Oct 201915.2% of 125 movements
Nov 201914.3% of 119 movements
Dec 201914.8% of 122 movements
Jan 202012.3% of 122 movements
Feb 202012.0% of 117 movements
Mar 20208.5% of 94 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 2020suppressed: fewer than twenty movements
Sep 20205.9% of 34 movements — small sample, not ranked
Oct 20209.6% of 73 movements
Nov 202028.9% of 45 movements — small sample, not ranked
Dec 202042.9% of 49 movements — small sample, not ranked
Jan 202122.0% of 41 movements — small sample, not ranked
Feb 202116.7% of 30 movements — small sample, not ranked
Mar 202125.6% of 43 movements — small sample, not ranked
Apr 202121.4% of 42 movements — small sample, not ranked
May 202113.3% of 45 movements — small sample, not ranked
Jun 202125.0% of 44 movements — small sample, not ranked
Jul 202149.0% of 49 movements — small sample, not ranked
Aug 202152.8% of 53 movements
Sep 202116.9% of 89 movements
Oct 202117.0% of 94 movements
Nov 202128.9% of 90 movements
Dec 202148.9% of 90 movements
Jan 202218.2% of 88 movements
Feb 202217.1% of 76 movements
Mar 202230.1% of 93 movements
Apr 202222.2% of 90 movements
May 202223.1% of 117 movements
Jun 202242.9% of 112 movements
Jul 202233.0% of 115 movements
Aug 202218.3% of 115 movements
Sep 202225.0% of 112 movements
Oct 202224.1% of 116 movements
Nov 202223.3% of 120 movements
Dec 202260.2% of 113 movements
Jan 202335.0% of 120 movements
Feb 202335.7% of 112 movements
Mar 202350.0% of 124 movements
Apr 202332.5% of 120 movements
May 202344.4% of 124 movements
Jun 202360.3% of 121 movements
Jul 202354.0% of 126 movements
Aug 202337.1% of 124 movements
Sep 202336.4% of 121 movements
Oct 202331.2% of 125 movements
Nov 202324.4% of 119 movements
Dec 202329.3% of 123 movements
Jan 202427.0% of 122 movements
Feb 202430.4% of 115 movements
Mar 202428.0% of 125 movements
Apr 202435.0% of 120 movements
May 202448.0% of 150 movements
Jun 202438.0% of 150 movements
Jul 202456.1% of 155 movements
Aug 202435.3% of 156 movements
Sep 202446.1% of 152 movements
Oct 202438.7% of 155 movements
Nov 202444.5% of 146 movements
Dec 202450.0% of 156 movements
Jan 202536.9% of 157 movements
Feb 202516.5% of 139 movements
Mar 202534.4% of 154 movements
Apr 202530.0% of 150 movements
May 202529.0% of 155 movements
Jun 202530.5% of 151 movements
Jul 202527.7% of 155 movements
Aug 202524.4% of 156 movements
Sep 202510.0% of 150 movements
Oct 202524.5% of 155 movements
Nov 202516.1% of 149 movements
Dec 202532.3% of 155 movements
Jan 202619.6% of 153 movements
Feb 202617.4% of 138 movements
Mar 202617.4% of 155 movements
Apr 202618.0% of 150 movements
May 202618.6% of 156 movements
Jun 202615.1% of 152 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 2022Arrivals33.0% of 115 movements30.6% across 1,041 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures78.4% of 116 movements32.5% across 1,041 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals37.1% of 124 movements38.6% across 1,423 flightsreturned the next month
NATS system failure · Aug 2023Departures42.4% of 125 movements36.5% across 1,424 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals34.4% of 154 movements39.4% across 1,761 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures30.1% of 153 movements32.8% across 1,771 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, 38.0% of arrivals were disrupted, measured across 7 Junes in the archive. February has been the calmest, at 17.4% across 7 Februarys.

Even June has ranged from 15.1% to 60.3% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201915.9% of 107 movements15.9% of 107 movements10.2% of 137 movements5.0% of 119 movements12.9% of 124 movements36.7% of 120 movements27.4% of 124 movements22.6% of 124 movements22.9% of 118 movements15.2% of 125 movements14.3% of 119 movements14.8% of 122 movements202012.3% of 122 movements12.0% of 117 movements8.5% of 94 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements5.9% of 34 movements †9.6% of 73 movements28.9% of 45 movements †42.9% of 49 movements †202122.0% of 41 movements †16.7% of 30 movements †25.6% of 43 movements †21.4% of 42 movements †13.3% of 45 movements †25.0% of 44 movements †49.0% of 49 movements †52.8% of 53 movements16.9% of 89 movements17.0% of 94 movements28.9% of 90 movements48.9% of 90 movements202218.2% of 88 movements17.1% of 76 movements30.1% of 93 movements22.2% of 90 movements23.1% of 117 movements42.9% of 112 movements33.0% of 115 movements18.3% of 115 movements25.0% of 112 movements24.1% of 116 movements23.3% of 120 movements60.2% of 113 movements202335.0% of 120 movements35.7% of 112 movements50.0% of 124 movements32.5% of 120 movements44.4% of 124 movements60.3% of 121 movements54.0% of 126 movements37.1% of 124 movements36.4% of 121 movements31.2% of 125 movements24.4% of 119 movements29.3% of 123 movements202427.0% of 122 movements30.4% of 115 movements28.0% of 125 movements35.0% of 120 movements48.0% of 150 movements38.0% of 150 movements56.1% of 155 movements35.3% of 156 movements46.1% of 152 movements38.7% of 155 movements44.5% of 146 movements50.0% of 156 movements202536.9% of 157 movements16.5% of 139 movements34.4% of 154 movements30.0% of 150 movements29.0% of 155 movements30.5% of 151 movements27.7% of 155 movements24.4% of 156 movements10.0% of 150 movements24.5% of 155 movements16.1% of 149 movements32.3% of 155 movements202619.6% of 153 movements17.4% of 138 movements17.4% of 155 movements18.0% of 150 movements18.6% of 156 movements15.1% of 152 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan24.3%15.9–36.9%7 months, 883 flights
Feb17.4%15.9–35.7%7 months, 791 flights
Mar29.0%10.2–50.0%7 months, 919 flights
Apr22.2%5.0–35.0%7 months, 869 flights
May29.0%12.9–48.0%7 months, 950 flights
Jun38.0%15.1–60.3%7 months, 926 flights
Jul35.3%27.4–56.1%6 months, 800 flights
Aug28.7%18.3–37.1%6 months, 799 flights
Sep23.9%10.0–46.1%6 months, 773 flights
Oct24.3%14.8–38.7%6 months, 798 flights
Nov19.7%14.3–44.5%6 months, 753 flights
Dec30.8%14.8–60.2%6 months, 772 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: Virgin Atlantic Airways 16.1% of 361 movements, British Airways 20.6% of 360 movements, Delta Airlines 21.5% of 1,098 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 Airways20.6% of 360 flightsDelta Airlines21.5% of 1,098 flightsVirgin Atlantic Airways16.1% of 361 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways36020.6% of 360 movements0.6% of 360 movements0.6% of 360 movementsdescriptive comparison
Delta Airlines1,09821.5% of 1,098 movements1.1% of 1,098 movements0.5% of 1,098 movementsdescriptive comparison
Virgin Atlantic Airways36116.1% of 361 movements1.4% of 361 movements0.3% of 361 movementsdescriptive comparison
Virgin Atlantic Internationalsuppressed: 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, MAN had the lowest disruption share at 10.7% of 317 movements and EDI the highest at 26.8% of 224 movements. This route sits at 20.2% of 1,824 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 ↔ Atlanta26.8% of 224 flightsMan ↔ Atlanta10.7% of 317 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Atlantasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Atlantasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Atlantasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Atlanta22426.8% of 224 movements1.3% of 224 movements1.8% of 224 movementsdescriptive comparison
Gla ↔ Atlantasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Atlantasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Atlantasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Atlanta31710.7% of 317 movements0.9% of 317 movementsno events in 317 movementsdescriptive comparison
Stn ↔ Atlantasuppressed: 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 20.2% of 1,824 movements disrupted, departures 22.2% of 1,825 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 LHR20.2% of 1,824 movements1.0% of 1,824 movements0.5% of 1,824 movements
Departures from LHR22.2% of 1,825 movements1.2% of 1,825 movements0.4% of 1,825 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 2026108 flights out of 11,331108 × £520 = £56,160
ArrivalsLast 72 months · Jul 2020–Jun 202681 flights out of 8,10681 × £520 = £42,120
DeparturesWhole archive · Jan 2018–Jun 202663 flights out of 11,34363 × £520 = £32,760
DeparturesLast 72 months · Jul 2020–Jun 202648 flights out of 8,11648 × £520 = £24,960
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 / countryATLANTA / USA
Final point codesATL / KATL
Great-circle distance6,761 km
Maximum statutory amount for the band£520
Average operated arrivals per day4.95
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: 1,824; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

20.2% of 1,824 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.0% of 1,824 movements in the same window.

How many delays crossed three hours?

0.5% of 1,824 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?

6,761 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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