UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ DALLAS FORT WORTH

In the twelve months from July 2025 to June 2026, 38.3% of 1,798 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, 61.7% of 1,798 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 32 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, 38.3% of 1,798 movements were disrupted and 2.8% of 1,798 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
38.3% of 1,798 movements2.8% of 1,798 movements60.7–94.5 min; N of delayed flights=639–9671,798
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: 2.8% of 1,798 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 min35.5%30 min23.5%60 min13.2%120 min5.1%180 min3.2%360 min0.9%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min35.5% of 1,798 movements6392.8
>30 min23.5% of 1,798 movements4234.3
>60 min13.2% of 1,798 movements2377.6
>120 min5.1% of 1,798 movements9219.5
>180 min3.2% of 1,798 movements5731.5
>360 min0.9% of 1,798 movements17105.8
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 early39622.0%15–1 early38521.4%0–15 late32818.2%16–3021612.0%31–6018610.3%61…1201458.1%121…180351.9%181…360402.2%>360170.9%D=1,798
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.1418; 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, 6.5% of 62 movements. Worst month: Dec 2022, 58.7% of 104 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: 11.4%; sample: 1052018Feb 2018: 16.7%; sample: 96Mar 2018: 38.7%; sample: 111Apr 2018: 14.2%; sample: 120May 2018: 14.5%; sample: 124Jun 2018: 15.8%; sample: 120Jul 2018: 22.6%; sample: 124Aug 2018: 21.0%; sample: 124Sep 2018: 17.5%; sample: 120Oct 2018: 19.5%; sample: 128Nov 2018: 21.1%; sample: 147Dec 2018: 29.3%; sample: 164Jan 2019: 27.2%; sample: 1622019Feb 2019: 16.9%; sample: 124Mar 2019: 24.2%; sample: 132Apr 2019: 20.7%; sample: 150May 2019: 32.5%; sample: 154Jun 2019: 41.3%; sample: 150Jul 2019: 31.1%; sample: 148Aug 2019: 21.9%; sample: 151Sep 2019: 23.5%; sample: 149Oct 2019: 14.6%; sample: 151Nov 2019: 11.7%; sample: 128Dec 2019: 23.3%; sample: 133Jan 2020: 17.0%; sample: 1352020Feb 2020: 17.8%; sample: 129Mar 2020: 14.0%; sample: 114Apr 2020: 3.3%; sample: 30May 2020: 6.5%; sample: 31Jun 2020: 20.0%; sample: 30Jul 2020: 15.2%; sample: 46Aug 2020: 14.5%; sample: 62Sep 2020: 8.3%; sample: 60Oct 2020: 6.5%; sample: 62Nov 2020: 17.2%; sample: 58Dec 2020: 16.9%; sample: 59Jan 2021: 15.0%; sample: 602021Feb 2021: 19.6%; sample: 56Mar 2021: 8.1%; sample: 62Apr 2021: 20.0%; sample: 60May 2021: 12.9%; sample: 62Jun 2021: 21.7%; sample: 60Jul 2021: 32.3%; sample: 62Aug 2021: 22.6%; sample: 62Sep 2021: 20.0%; sample: 60Oct 2021: 27.9%; sample: 68Nov 2021: 37.0%; sample: 100Dec 2021: 40.6%; sample: 96Jan 2022: 12.9%; sample: 932022Feb 2022: 25.0%; sample: 84Mar 2022: 22.4%; sample: 98Apr 2022: 33.6%; sample: 146May 2022: 30.3%; sample: 155Jun 2022: 38.8%; sample: 147Jul 2022: 29.6%; sample: 152Aug 2022: 20.0%; sample: 150Sep 2022: 30.1%; sample: 143Oct 2022: 21.5%; sample: 144Nov 2022: 27.0%; sample: 100Dec 2022: 58.7%; sample: 104Jan 2023: 33.7%; sample: 1042023Feb 2023: 32.3%; sample: 96Mar 2023: 44.8%; sample: 116Apr 2023: 34.7%; sample: 150May 2023: 38.1%; sample: 155Jun 2023: 49.0%; sample: 151Jul 2023: 31.4%; sample: 156Aug 2023: 23.2%; sample: 155Sep 2023: 26.7%; sample: 150Oct 2023: 21.2%; sample: 151Nov 2023: 20.6%; sample: 126Dec 2023: 24.1%; sample: 137Jan 2024: 29.9%; sample: 1342024Feb 2024: 22.4%; sample: 125Mar 2024: 35.0%; sample: 140Apr 2024: 31.3%; sample: 150May 2024: 43.7%; sample: 158Jun 2024: 33.6%; sample: 152Jul 2024: 20.6%; sample: 155Aug 2024: 29.3%; sample: 157Sep 2024: 46.4%; sample: 153Oct 2024: 22.4%; sample: 152Nov 2024: 21.5%; sample: 130Dec 2024: 35.5%; sample: 138Jan 2025: 31.0%; sample: 1262025Feb 2025: 21.4%; sample: 117Mar 2025: 37.1%; sample: 140Apr 2025: 23.0%; sample: 152May 2025: 31.0%; sample: 129Jun 2025: 21.2%; sample: 146Jul 2025: 31.6%; sample: 155Aug 2025: 44.9%; sample: 158Sep 2025: 37.3%; sample: 150Oct 2025: 45.2%; sample: 155Nov 2025: 45.4%; sample: 141Dec 2025: 50.3%; sample: 157Jan 2026: 43.1%; sample: 1532026Feb 2026: 22.7%; sample: 110Mar 2026: 23.7%; sample: 156Apr 2026: 29.1%; sample: 151May 2026: 36.3%; sample: 157Jun 2026: 45.8%; sample: 155Pandemic 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 201811.4% of 105 movements
Feb 201816.7% of 96 movements
Mar 201838.7% of 111 movements
Apr 201814.2% of 120 movements
May 201814.5% of 124 movements
Jun 201815.8% of 120 movements
Jul 201822.6% of 124 movements
Aug 201821.0% of 124 movements
Sep 201817.5% of 120 movements
Oct 201819.5% of 128 movements
Nov 201821.1% of 147 movements
Dec 201829.3% of 164 movements
Jan 201927.2% of 162 movements
Feb 201916.9% of 124 movements
Mar 201924.2% of 132 movements
Apr 201920.7% of 150 movements
May 201932.5% of 154 movements
Jun 201941.3% of 150 movements
Jul 201931.1% of 148 movements
Aug 201921.9% of 151 movements
Sep 201923.5% of 149 movements
Oct 201914.6% of 151 movements
Nov 201911.7% of 128 movements
Dec 201923.3% of 133 movements
Jan 202017.0% of 135 movements
Feb 202017.8% of 129 movements
Mar 202014.0% of 114 movements
Apr 20203.3% of 30 movements — small sample, not ranked
May 20206.5% of 31 movements — small sample, not ranked
Jun 202020.0% of 30 movements — small sample, not ranked
Jul 202015.2% of 46 movements — small sample, not ranked
Aug 202014.5% of 62 movements
Sep 20208.3% of 60 movements
Oct 20206.5% of 62 movements
Nov 202017.2% of 58 movements
Dec 202016.9% of 59 movements
Jan 202115.0% of 60 movements
Feb 202119.6% of 56 movements
Mar 20218.1% of 62 movements
Apr 202120.0% of 60 movements
May 202112.9% of 62 movements
Jun 202121.7% of 60 movements
Jul 202132.3% of 62 movements
Aug 202122.6% of 62 movements
Sep 202120.0% of 60 movements
Oct 202127.9% of 68 movements
Nov 202137.0% of 100 movements
Dec 202140.6% of 96 movements
Jan 202212.9% of 93 movements
Feb 202225.0% of 84 movements
Mar 202222.4% of 98 movements
Apr 202233.6% of 146 movements
May 202230.3% of 155 movements
Jun 202238.8% of 147 movements
Jul 202229.6% of 152 movements
Aug 202220.0% of 150 movements
Sep 202230.1% of 143 movements
Oct 202221.5% of 144 movements
Nov 202227.0% of 100 movements
Dec 202258.7% of 104 movements
Jan 202333.7% of 104 movements
Feb 202332.3% of 96 movements
Mar 202344.8% of 116 movements
Apr 202334.7% of 150 movements
May 202338.1% of 155 movements
Jun 202349.0% of 151 movements
Jul 202331.4% of 156 movements
Aug 202323.2% of 155 movements
Sep 202326.7% of 150 movements
Oct 202321.2% of 151 movements
Nov 202320.6% of 126 movements
Dec 202324.1% of 137 movements
Jan 202429.9% of 134 movements
Feb 202422.4% of 125 movements
Mar 202435.0% of 140 movements
Apr 202431.3% of 150 movements
May 202443.7% of 158 movements
Jun 202433.6% of 152 movements
Jul 202420.6% of 155 movements
Aug 202429.3% of 157 movements
Sep 202446.4% of 153 movements
Oct 202422.4% of 152 movements
Nov 202421.5% of 130 movements
Dec 202435.5% of 138 movements
Jan 202531.0% of 126 movements
Feb 202521.4% of 117 movements
Mar 202537.1% of 140 movements
Apr 202523.0% of 152 movements
May 202531.0% of 129 movements
Jun 202521.2% of 146 movements
Jul 202531.6% of 155 movements
Aug 202544.9% of 158 movements
Sep 202537.3% of 150 movements
Oct 202545.2% of 155 movements
Nov 202545.4% of 141 movements
Dec 202550.3% of 157 movements
Jan 202643.1% of 153 movements
Feb 202622.7% of 110 movements
Mar 202623.7% of 156 movements
Apr 202629.1% of 151 movements
May 202636.3% of 157 movements
Jun 202645.8% of 155 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 2020Arrivals20.0% of 30 movements — small sample, not ranked18.8% across 1,449 flightsreturned the next month
Pandemic regime · Jun 2020Departures3.3% of 30 movements — small sample, not ranked18.0% across 1,447 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals29.6% of 152 movements28.6% across 1,171 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures50.3% of 151 movements28.6% across 1,171 flightsreturned after 3 months
NATS system failure · Aug 2023Arrivals23.2% of 155 movements35.1% across 1,569 flightsreturned the next month
NATS system failure · Aug 2023Departures25.5% of 157 movements29.9% across 1,574 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals37.1% of 140 movements31.0% across 1,728 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures34.8% of 141 movements24.9% across 1,734 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, 38.8% of arrivals were disrupted, measured across 7 Junes in the archive. November has been the calmest, at 21.3% across 6 Novembers.

Even June has ranged from 15.8% to 49.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201927.2% of 162 movements16.9% of 124 movements24.2% of 132 movements20.7% of 150 movements32.5% of 154 movements41.3% of 150 movements31.1% of 148 movements21.9% of 151 movements23.5% of 149 movements14.6% of 151 movements11.7% of 128 movements23.3% of 133 movements202017.0% of 135 movements17.8% of 129 movements14.0% of 114 movements3.3% of 30 movements †6.5% of 31 movements †20.0% of 30 movements †15.2% of 46 movements †14.5% of 62 movements8.3% of 60 movements6.5% of 62 movements17.2% of 58 movements16.9% of 59 movements202115.0% of 60 movements19.6% of 56 movements8.1% of 62 movements20.0% of 60 movements12.9% of 62 movements21.7% of 60 movements32.3% of 62 movements22.6% of 62 movements20.0% of 60 movements27.9% of 68 movements37.0% of 100 movements40.6% of 96 movements202212.9% of 93 movements25.0% of 84 movements22.4% of 98 movements33.6% of 146 movements30.3% of 155 movements38.8% of 147 movements29.6% of 152 movements20.0% of 150 movements30.1% of 143 movements21.5% of 144 movements27.0% of 100 movements58.7% of 104 movements202333.7% of 104 movements32.3% of 96 movements44.8% of 116 movements34.7% of 150 movements38.1% of 155 movements49.0% of 151 movements31.4% of 156 movements23.2% of 155 movements26.7% of 150 movements21.2% of 151 movements20.6% of 126 movements24.1% of 137 movements202429.9% of 134 movements22.4% of 125 movements35.0% of 140 movements31.3% of 150 movements43.7% of 158 movements33.6% of 152 movements20.6% of 155 movements29.3% of 157 movements46.4% of 153 movements22.4% of 152 movements21.5% of 130 movements35.5% of 138 movements202531.0% of 126 movements21.4% of 117 movements37.1% of 140 movements23.0% of 152 movements31.0% of 129 movements21.2% of 146 movements31.6% of 155 movements44.9% of 158 movements37.3% of 150 movements45.2% of 155 movements45.4% of 141 movements50.3% of 157 movements202643.1% of 153 movements22.7% of 110 movements23.7% of 156 movements29.1% of 151 movements36.3% of 157 movements45.8% of 155 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan29.9%11.4–43.1%7 months, 877 flights
Feb22.4%16.7–32.3%7 months, 752 flights
Mar35.0%22.4–44.8%7 months, 893 flights
Apr29.1%14.2–34.7%7 months, 1,019 flights
May32.5%14.5–43.7%7 months, 1,032 flights
Jun38.8%15.8–49.0%7 months, 1,021 flights
Jul30.3%20.6–31.6%6 months, 890 flights
Aug22.5%20.0–44.9%6 months, 895 flights
Sep28.4%17.5–46.4%6 months, 865 flights
Oct21.4%14.6–45.2%6 months, 881 flights
Nov21.3%11.7–45.4%6 months, 772 flights
Dec32.4%23.3–58.7%6 months, 833 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: American Airlines 36.9% of 1,557 movements, British Airways 47.7% of 241 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 optionAmerican Airlines36.9% of 1,557 flightsBritish Airways47.7% of 241 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
American Airlines1,55736.9% of 1,557 movements2.8% of 1,557 movements3.5% of 1,557 movementsdescriptive comparison
British Airways24147.7% of 241 movements2.5% of 241 movements0.8% of 241 movementsdescriptive comparison
Delta Airlinessuppressed: 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?

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
Gla ↔ Dallas-Fort-Worthsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Dallas-Fort-Worthsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Dallas-Fort-Worthsuppressed: 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 38.3% of 1,798 movements disrupted, departures 26.9% of 1,827 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 LHR38.3% of 1,798 movements2.8% of 1,798 movements3.2% of 1,798 movements
Departures from LHR26.9% of 1,827 movements4.4% of 1,827 movements0.6% of 1,827 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 2026246 flights out of 12,354246 × £520 = £127,920
ArrivalsLast 72 months · Jul 2020–Jun 2026207 flights out of 8,670207 × £520 = £107,640
DeparturesWhole archive · Jan 2018–Jun 202685 flights out of 12,39585 × £520 = £44,200
DeparturesLast 72 months · Jul 2020–Jun 202667 flights out of 8,71367 × £520 = £34,840
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 / countryDALLAS/FORT WORTH / USA
Final point codesDFW / KDFW
Great-circle distance7,627 km
Maximum statutory amount for the band£520
Average operated arrivals per day4.79
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 archive102

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: 1,798; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

38.3% of 1,798 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.8% of 1,798 movements in the same window.

How many delays crossed three hours?

3.2% of 1,798 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?

7,627 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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