UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ BAHRAIN

In the twelve months from July 2025 to June 2026, 31.9% of 846 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, 68.1% of 846 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 141 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, 31.9% of 846 movements were disrupted and 6.9% of 846 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
31.9% of 846 movements6.9% of 846 movements25.0–57.9 min; N of delayed flights=212–459846
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: 6.9% of 846 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 min25.1%30 min13.5%60 min4.8%120 min1.2%180 min0.7%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min25.1% of 846 movements2124.0
>30 min13.5% of 846 movements1147.4
>60 min4.8% of 846 movements4120.6
>120 min1.2% of 846 movements1084.6
>180 min0.7% of 846 movements6141.0
>360 min0.2% of 846 movements2423.0
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 early495.8%15–1 early28033.1%0–15 late24729.2%16–309811.6%31–60738.6%61…120313.7%121…18040.5%181…36040.5%>36020.2%D=846
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0351; 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: Jun 2019, 5.6% of 90 movements. Worst month: May 2026, 71.0% of 62 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: 35.8%; sample: 952018Feb 2018: 17.9%; sample: 84Mar 2018: 17.2%; sample: 93Apr 2018: 42.2%; sample: 90May 2018: 19.4%; sample: 93Jun 2018: 22.2%; sample: 90Jul 2018: 32.3%; sample: 93Aug 2018: 40.9%; sample: 93Sep 2018: 47.8%; sample: 90Oct 2018: 34.1%; sample: 91Nov 2018: 13.0%; sample: 77Dec 2018: 30.1%; sample: 93Jan 2019: 34.4%; sample: 932019Feb 2019: 20.2%; sample: 84Mar 2019: 35.5%; sample: 93Apr 2019: 50.0%; sample: 90May 2019: 25.8%; sample: 93Jun 2019: 5.6%; sample: 90Jul 2019: 12.9%; sample: 93Aug 2019: 22.6%; sample: 93Sep 2019: 30.7%; sample: 88Oct 2019: 28.0%; sample: 93Nov 2019: 6.7%; sample: 90Dec 2019: 9.5%; sample: 63Jan 2020: 33.9%; sample: 622020Feb 2020: 36.2%; sample: 58Mar 2020: 21.2%; sample: 52Apr 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: 15.0%; sample: 20Oct 2020: 8.6%; sample: 35Nov 2020: 3.6%; sample: 28Dec 2020: 6.8%; sample: 44Jan 2021: 6.8%; sample: 442021Feb 2021: 2.5%; sample: 40Mar 2021: 11.8%; sample: 51Apr 2021: 29.4%; sample: 51May 2021: 20.0%; sample: 45Jun 2021: 13.6%; sample: 66Jul 2021: 10.2%; sample: 49Aug 2021: 22.2%; sample: 72Sep 2021: 16.7%; sample: 72Oct 2021: 17.1%; sample: 76Nov 2021: 7.4%; sample: 81Dec 2021: 10.5%; sample: 86Jan 2022: 15.7%; sample: 832022Feb 2022: 5.6%; sample: 72Mar 2022: 13.2%; sample: 91Apr 2022: 22.9%; sample: 83May 2022: 21.7%; sample: 92Jun 2022: 34.6%; sample: 78Jul 2022: 26.3%; sample: 76Aug 2022: 18.7%; sample: 75Sep 2022: 45.2%; sample: 73Oct 2022: 36.0%; sample: 75Nov 2022: 13.6%; sample: 81Dec 2022: 32.9%; sample: 85Jan 2023: 25.0%; sample: 882023Feb 2023: 17.9%; sample: 84Mar 2023: 14.1%; sample: 92Apr 2023: 20.0%; sample: 85May 2023: 18.5%; sample: 92Jun 2023: 12.2%; sample: 90Jul 2023: 32.3%; sample: 93Aug 2023: 9.7%; sample: 93Sep 2023: 21.1%; sample: 90Oct 2023: 48.4%; sample: 95Nov 2023: 20.5%; sample: 88Dec 2023: 25.8%; sample: 93Jan 2024: 18.3%; sample: 932024Feb 2024: 20.5%; sample: 88Mar 2024: 8.2%; sample: 85Apr 2024: 48.3%; sample: 89May 2024: 26.9%; sample: 93Jun 2024: 30.8%; sample: 91Jul 2024: 38.7%; sample: 93Aug 2024: 54.8%; sample: 93Sep 2024: 27.8%; sample: 90Oct 2024: 64.1%; sample: 92Nov 2024: 10.0%; sample: 90Dec 2024: 17.0%; sample: 94Jan 2025: 20.2%; sample: 942025Feb 2025: 14.3%; sample: 84Mar 2025: 11.2%; sample: 80Apr 2025: 13.7%; sample: 73May 2025: 10.7%; sample: 75Jun 2025: 47.8%; sample: 67Jul 2025: 11.4%; sample: 70Aug 2025: 14.7%; sample: 75Sep 2025: 26.0%; sample: 73Oct 2025: 25.6%; sample: 78Nov 2025: 14.4%; sample: 90Dec 2025: 20.4%; sample: 93Jan 2026: 33.3%; sample: 902026Feb 2026: 32.1%; sample: 81Mar 2026: 100.0%; sample: 44Apr 2026: 43.3%; sample: 30May 2026: 71.0%; sample: 62Jun 2026: 38.3%; sample: 60Pandemic 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 201835.8% of 95 movements
Feb 201817.9% of 84 movements
Mar 201817.2% of 93 movements
Apr 201842.2% of 90 movements
May 201819.4% of 93 movements
Jun 201822.2% of 90 movements
Jul 201832.3% of 93 movements
Aug 201840.9% of 93 movements
Sep 201847.8% of 90 movements
Oct 201834.1% of 91 movements
Nov 201813.0% of 77 movements
Dec 201830.1% of 93 movements
Jan 201934.4% of 93 movements
Feb 201920.2% of 84 movements
Mar 201935.5% of 93 movements
Apr 201950.0% of 90 movements
May 201925.8% of 93 movements
Jun 20195.6% of 90 movements
Jul 201912.9% of 93 movements
Aug 201922.6% of 93 movements
Sep 201930.7% of 88 movements
Oct 201928.0% of 93 movements
Nov 20196.7% of 90 movements
Dec 20199.5% of 63 movements
Jan 202033.9% of 62 movements
Feb 202036.2% of 58 movements
Mar 202021.2% of 52 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 202015.0% of 20 movements — small sample, not ranked
Oct 20208.6% of 35 movements — small sample, not ranked
Nov 20203.6% of 28 movements — small sample, not ranked
Dec 20206.8% of 44 movements — small sample, not ranked
Jan 20216.8% of 44 movements — small sample, not ranked
Feb 20212.5% of 40 movements — small sample, not ranked
Mar 202111.8% of 51 movements
Apr 202129.4% of 51 movements
May 202120.0% of 45 movements — small sample, not ranked
Jun 202113.6% of 66 movements
Jul 202110.2% of 49 movements — small sample, not ranked
Aug 202122.2% of 72 movements
Sep 202116.7% of 72 movements
Oct 202117.1% of 76 movements
Nov 20217.4% of 81 movements
Dec 202110.5% of 86 movements
Jan 202215.7% of 83 movements
Feb 20225.6% of 72 movements
Mar 202213.2% of 91 movements
Apr 202222.9% of 83 movements
May 202221.7% of 92 movements
Jun 202234.6% of 78 movements
Jul 202226.3% of 76 movements
Aug 202218.7% of 75 movements
Sep 202245.2% of 73 movements
Oct 202236.0% of 75 movements
Nov 202213.6% of 81 movements
Dec 202232.9% of 85 movements
Jan 202325.0% of 88 movements
Feb 202317.9% of 84 movements
Mar 202314.1% of 92 movements
Apr 202320.0% of 85 movements
May 202318.5% of 92 movements
Jun 202312.2% of 90 movements
Jul 202332.3% of 93 movements
Aug 20239.7% of 93 movements
Sep 202321.1% of 90 movements
Oct 202348.4% of 95 movements
Nov 202320.5% of 88 movements
Dec 202325.8% of 93 movements
Jan 202418.3% of 93 movements
Feb 202420.5% of 88 movements
Mar 20248.2% of 85 movements
Apr 202448.3% of 89 movements
May 202426.9% of 93 movements
Jun 202430.8% of 91 movements
Jul 202438.7% of 93 movements
Aug 202454.8% of 93 movements
Sep 202427.8% of 90 movements
Oct 202464.1% of 92 movements
Nov 202410.0% of 90 movements
Dec 202417.0% of 94 movements
Jan 202520.2% of 94 movements
Feb 202514.3% of 84 movements
Mar 202511.2% of 80 movements
Apr 202513.7% of 73 movements
May 202510.7% of 75 movements
Jun 202547.8% of 67 movements
Jul 202511.4% of 70 movements
Aug 202514.7% of 75 movements
Sep 202526.0% of 73 movements
Oct 202525.6% of 78 movements
Nov 202514.4% of 90 movements
Dec 202520.4% of 93 movements
Jan 202633.3% of 90 movements
Feb 202632.1% of 81 movements
Mar 2026100.0% of 44 movements — small sample, not ranked
Apr 202643.3% of 30 movements — small sample, not ranked
May 202671.0% of 62 movements
Jun 202638.3% of 60 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 2022Arrivals26.3% of 76 movements16.5% across 935 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures80.0% of 75 movements25.0% across 956 flightsreturned after 6 months
NATS system failure · Aug 2023Arrivals9.7% of 93 movements23.9% across 1,013 flightsreturned the next month
NATS system failure · Aug 2023Departures38.7% of 93 movements35.1% across 1,015 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals11.2% of 80 movements30.1% across 1,088 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures16.2% of 80 movements27.0% across 1,086 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?

April has historically been the hardest month on this route: in a typical April, 42.2% of arrivals were disrupted, measured across 7 Aprils in the archive. November has been the calmest, at 13.3% across 6 Novembers.

Even April has ranged from 13.7% to 50.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201934.4% of 93 movements20.2% of 84 movements35.5% of 93 movements50.0% of 90 movements25.8% of 93 movements5.6% of 90 movements12.9% of 93 movements22.6% of 93 movements30.7% of 88 movements28.0% of 93 movements6.7% of 90 movements9.5% of 63 movements202033.9% of 62 movements36.2% of 58 movements21.2% of 52 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements15.0% of 20 movements †8.6% of 35 movements †3.6% of 28 movements †6.8% of 44 movements †20216.8% of 44 movements †2.5% of 40 movements †11.8% of 51 movements29.4% of 51 movements20.0% of 45 movements †13.6% of 66 movements10.2% of 49 movements †22.2% of 72 movements16.7% of 72 movements17.1% of 76 movements7.4% of 81 movements10.5% of 86 movements202215.7% of 83 movements5.6% of 72 movements13.2% of 91 movements22.9% of 83 movements21.7% of 92 movements34.6% of 78 movements26.3% of 76 movements18.7% of 75 movements45.2% of 73 movements36.0% of 75 movements13.6% of 81 movements32.9% of 85 movements202325.0% of 88 movements17.9% of 84 movements14.1% of 92 movements20.0% of 85 movements18.5% of 92 movements12.2% of 90 movements32.3% of 93 movements9.7% of 93 movements21.1% of 90 movements48.4% of 95 movements20.5% of 88 movements25.8% of 93 movements202418.3% of 93 movements20.5% of 88 movements8.2% of 85 movements48.3% of 89 movements26.9% of 93 movements30.8% of 91 movements38.7% of 93 movements54.8% of 93 movements27.8% of 90 movements64.1% of 92 movements10.0% of 90 movements17.0% of 94 movements202520.2% of 94 movements14.3% of 84 movements11.2% of 80 movements13.7% of 73 movements10.7% of 75 movements47.8% of 67 movements11.4% of 70 movements14.7% of 75 movements26.0% of 73 movements25.6% of 78 movements14.4% of 90 movements20.4% of 93 movements202633.3% of 90 movements32.1% of 81 movements100.0% of 44 movements †43.3% of 30 movements †71.0% of 62 movements38.3% of 60 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.0%15.7–35.8%7 months, 636 flights
Feb17.9%5.6–32.1%7 months, 577 flights
Mar14.1%8.2–100.0%7 months, 578 flights
Apr42.2%13.7–50.0%7 months, 540 flights
May21.7%10.7–71.0%7 months, 600 flights
Jun30.8%5.6–47.8%7 months, 566 flights
Jul29.3%11.4–38.7%6 months, 518 flights
Aug20.6%9.7–54.8%6 months, 522 flights
Sep29.2%21.1–47.8%6 months, 504 flights
Oct35.0%25.6–64.1%6 months, 524 flights
Nov13.3%6.7–20.5%6 months, 516 flights
Dec23.1%9.5–32.9%6 months, 521 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: Gulf Air 31.8% of 674 movements, British Airways 32.6% of 172 movements. The gap between them sits inside sampling noise.

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 Airways32.6% of 172 flightsGulf Air31.8% of 674 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways17232.6% of 172 movements7.6% of 172 movements0.6% of 172 movementsdescriptive comparison
Gulf Air67431.8% of 674 movements6.7% of 674 movements0.7% of 674 movementsdescriptive comparison

The noise check is a descriptive approximation assuming independent operations. Delay correlation and mix differences are not estimated; no ranking is derived.

Would another UK airport have been better?

Among UK airports flying to this city with enough flights to publish, LGW had the lowest disruption share at 25.2% of 123 movements and MAN the highest at 43.9% of 214 movements. This route sits at 31.9% of 846 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 optionLgw ↔ Bahrain25.2% of 123 flightsMan ↔ Bahrain43.9% of 214 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Bahrainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Bahrainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Bahrain12325.2% of 123 movements8.9% of 123 movements0.8% of 123 movementsdescriptive comparison
Ltn ↔ Bahrainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Bahrain21443.9% of 214 movements10.3% of 214 movements3.7% of 214 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 31.9% of 846 movements disrupted, departures 20.0% of 843 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 LHR31.9% of 846 movements6.9% of 846 movements0.7% of 846 movements
Departures from LHR20.0% of 843 movements6.6% of 843 movements0.4% of 843 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 202660 flights out of 7,70760 × £520 = £31,200
ArrivalsLast 72 months · Jul 2020–Jun 202643 flights out of 5,34543 × £520 = £22,360
DeparturesWhole archive · Jan 2018–Jun 202647 flights out of 7,71847 × £520 = £24,440
DeparturesLast 72 months · Jul 2020–Jun 202636 flights out of 5,36236 × £520 = £18,720
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 / countryBAHRAIN / BAHRAIN
Final point codesBAH / OBBI
Great-circle distance5,094 km
Maximum statutory amount for the band£520
Average operated arrivals per day2.16
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: 846; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

31.9% of 846 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

6.9% of 846 movements in the same window.

How many delays crossed three hours?

0.7% of 846 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?

5,094 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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