UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ JOHANNESBURG

In the twelve months from July 2025 to June 2026, 11.5% of 1,097 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, 88.5% of 1,097 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 73 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, 11.5% of 1,097 movements were disrupted and 1.6% of 1,097 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
11.5% of 1,097 movements1.6% of 1,097 movements41.4–124.9 min; N of delayed flights=108–3001,097
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: 1.6% of 1,097 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 min9.8%30 min5.3%60 min2.8%120 min1.6%180 min1.4%360 min0.7%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min9.8% of 1,097 movements10810.2
>30 min5.3% of 1,097 movements5818.9
>60 min2.8% of 1,097 movements3135.4
>120 min1.6% of 1,097 movements1860.9
>180 min1.4% of 1,097 movements1573.1
>360 min0.7% of 1,097 movements8137.1
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 early32429.5%15–1 early45541.5%0–15 late19217.5%16–30504.6%31–60272.5%61…120131.2%121…18030.3%181…36070.6%>36080.7%D=1,097
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.1948; 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: Dec 2022, 2.2% of 91 movements. Worst month: Aug 2023, 52.7% of 93 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: 19.7%; sample: 1472018Feb 2018: 20.1%; sample: 134Mar 2018: 14.2%; sample: 148Apr 2018: 12.2%; sample: 139May 2018: 13.7%; sample: 124Jun 2018: 15.0%; sample: 120Jul 2018: 11.2%; sample: 125Aug 2018: 13.7%; sample: 124Sep 2018: 22.5%; sample: 120Oct 2018: 25.0%; sample: 128Nov 2018: 21.7%; sample: 166Dec 2018: 28.7%; sample: 171Jan 2019: 22.1%; sample: 1722019Feb 2019: 14.9%; sample: 154Mar 2019: 8.6%; sample: 162Apr 2019: 21.6%; sample: 167May 2019: 14.2%; sample: 169Jun 2019: 9.2%; sample: 152Jul 2019: 10.3%; sample: 156Aug 2019: 11.6%; sample: 155Sep 2019: 13.5%; sample: 148Oct 2019: 17.0%; sample: 147Nov 2019: 15.2%; sample: 138Dec 2019: 17.0%; sample: 153Jan 2020: 15.2%; sample: 1452020Feb 2020: 28.2%; sample: 142Mar 2020: 27.0%; sample: 122Apr 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: suppressed: fewer than twenty movements×Oct 2020: 2.8%; sample: 36Nov 2020: 7.3%; sample: 41Dec 2020: 17.9%; sample: 39Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: 4.5%; sample: 22Sep 2021: 13.6%; sample: 22Oct 2021: 19.4%; sample: 31Nov 2021: 23.1%; sample: 52Dec 2021: 26.2%; sample: 42Jan 2022: 18.0%; sample: 612022Feb 2022: 18.5%; sample: 54Mar 2022: 20.0%; sample: 65Apr 2022: 23.3%; sample: 90May 2022: 16.1%; sample: 93Jun 2022: 6.5%; sample: 62Jul 2022: 9.7%; sample: 62Aug 2022: 6.6%; sample: 91Sep 2022: 4.4%; sample: 90Oct 2022: 4.3%; sample: 93Nov 2022: 5.6%; sample: 90Dec 2022: 2.2%; sample: 91Jan 2023: 4.3%; sample: 932023Feb 2023: 15.5%; sample: 84Mar 2023: 17.6%; sample: 91Apr 2023: 26.7%; sample: 90May 2023: 33.3%; sample: 93Jun 2023: 22.0%; sample: 91Jul 2023: 17.0%; sample: 94Aug 2023: 52.7%; sample: 93Sep 2023: 18.9%; sample: 90Oct 2023: 16.1%; sample: 93Nov 2023: 17.8%; sample: 90Dec 2023: 27.5%; sample: 91Jan 2024: 12.9%; sample: 932024Feb 2024: 12.6%; sample: 87Mar 2024: 7.4%; sample: 95Apr 2024: 18.9%; sample: 90May 2024: 14.9%; sample: 74Jun 2024: 9.0%; sample: 89Jul 2024: 3.2%; sample: 93Aug 2024: 7.5%; sample: 93Sep 2024: 10.0%; sample: 90Oct 2024: 8.6%; sample: 93Nov 2024: 13.3%; sample: 90Dec 2024: 20.4%; sample: 93Jan 2025: 16.9%; sample: 892025Feb 2025: 9.8%; sample: 82Mar 2025: 14.3%; sample: 91Apr 2025: 17.8%; sample: 90May 2025: 7.5%; sample: 93Jun 2025: 5.5%; sample: 91Jul 2025: 10.8%; sample: 93Aug 2025: 8.5%; sample: 94Sep 2025: 10.0%; sample: 90Oct 2025: 8.6%; sample: 93Nov 2025: 7.8%; sample: 90Dec 2025: 9.8%; sample: 92Jan 2026: 9.9%; sample: 912026Feb 2026: 9.5%; sample: 84Mar 2026: 13.7%; sample: 95Apr 2026: 21.7%; sample: 92May 2026: 16.1%; sample: 93Jun 2026: 11.1%; sample: 90Pandemic 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 201819.7% of 147 movements
Feb 201820.1% of 134 movements
Mar 201814.2% of 148 movements
Apr 201812.2% of 139 movements
May 201813.7% of 124 movements
Jun 201815.0% of 120 movements
Jul 201811.2% of 125 movements
Aug 201813.7% of 124 movements
Sep 201822.5% of 120 movements
Oct 201825.0% of 128 movements
Nov 201821.7% of 166 movements
Dec 201828.7% of 171 movements
Jan 201922.1% of 172 movements
Feb 201914.9% of 154 movements
Mar 20198.6% of 162 movements
Apr 201921.6% of 167 movements
May 201914.2% of 169 movements
Jun 20199.2% of 152 movements
Jul 201910.3% of 156 movements
Aug 201911.6% of 155 movements
Sep 201913.5% of 148 movements
Oct 201917.0% of 147 movements
Nov 201915.2% of 138 movements
Dec 201917.0% of 153 movements
Jan 202015.2% of 145 movements
Feb 202028.2% of 142 movements
Mar 202027.0% of 122 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 2020suppressed: fewer than twenty movements
Oct 20202.8% of 36 movements — small sample, not ranked
Nov 20207.3% of 41 movements — small sample, not ranked
Dec 202017.9% of 39 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 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 20214.5% of 22 movements — small sample, not ranked
Sep 202113.6% of 22 movements — small sample, not ranked
Oct 202119.4% of 31 movements — small sample, not ranked
Nov 202123.1% of 52 movements
Dec 202126.2% of 42 movements — small sample, not ranked
Jan 202218.0% of 61 movements
Feb 202218.5% of 54 movements
Mar 202220.0% of 65 movements
Apr 202223.3% of 90 movements
May 202216.1% of 93 movements
Jun 20226.5% of 62 movements
Jul 20229.7% of 62 movements
Aug 20226.6% of 91 movements
Sep 20224.4% of 90 movements
Oct 20224.3% of 93 movements
Nov 20225.6% of 90 movements
Dec 20222.2% of 91 movements
Jan 20234.3% of 93 movements
Feb 202315.5% of 84 movements
Mar 202317.6% of 91 movements
Apr 202326.7% of 90 movements
May 202333.3% of 93 movements
Jun 202322.0% of 91 movements
Jul 202317.0% of 94 movements
Aug 202352.7% of 93 movements
Sep 202318.9% of 90 movements
Oct 202316.1% of 93 movements
Nov 202317.8% of 90 movements
Dec 202327.5% of 91 movements
Jan 202412.9% of 93 movements
Feb 202412.6% of 87 movements
Mar 20247.4% of 95 movements
Apr 202418.9% of 90 movements
May 202414.9% of 74 movements
Jun 20249.0% of 89 movements
Jul 20243.2% of 93 movements
Aug 20247.5% of 93 movements
Sep 202410.0% of 90 movements
Oct 20248.6% of 93 movements
Nov 202413.3% of 90 movements
Dec 202420.4% of 93 movements
Jan 202516.9% of 89 movements
Feb 20259.8% of 82 movements
Mar 202514.3% of 91 movements
Apr 202517.8% of 90 movements
May 20257.5% of 93 movements
Jun 20255.5% of 91 movements
Jul 202510.8% of 93 movements
Aug 20258.5% of 94 movements
Sep 202510.0% of 90 movements
Oct 20258.6% of 93 movements
Nov 20257.8% of 90 movements
Dec 20259.8% of 92 movements
Jan 20269.9% of 91 movements
Feb 20269.5% of 84 movements
Mar 202613.7% of 95 movements
Apr 202621.7% of 92 movements
May 202616.1% of 93 movements
Jun 202611.1% of 90 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 2022Arrivals9.7% of 62 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures59.7% of 62 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals52.7% of 93 movements13.3% across 1,091 flightsreturned after 5 months
NATS system failure · Aug 2023Departures50.5% of 93 movements47.8% across 1,093 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals14.3% of 91 movements11.7% across 1,071 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Departures22.6% of 93 movements29.2% across 1,067 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, 21.6% of arrivals were disrupted, measured across 7 Aprils in the archive. June has been the calmest, at 9.2% across 7 Junes.

Even April has ranged from 12.2% to 26.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201922.1% of 172 movements14.9% of 154 movements8.6% of 162 movements21.6% of 167 movements14.2% of 169 movements9.2% of 152 movements10.3% of 156 movements11.6% of 155 movements13.5% of 148 movements17.0% of 147 movements15.2% of 138 movements17.0% of 153 movements202015.2% of 145 movements28.2% of 142 movements27.0% of 122 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2.8% of 36 movements †7.3% of 41 movements †17.9% of 39 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements4.5% of 22 movements †13.6% of 22 movements †19.4% of 31 movements †23.1% of 52 movements26.2% of 42 movements †202218.0% of 61 movements18.5% of 54 movements20.0% of 65 movements23.3% of 90 movements16.1% of 93 movements6.5% of 62 movements9.7% of 62 movements6.6% of 91 movements4.4% of 90 movements4.3% of 93 movements5.6% of 90 movements2.2% of 91 movements20234.3% of 93 movements15.5% of 84 movements17.6% of 91 movements26.7% of 90 movements33.3% of 93 movements22.0% of 91 movements17.0% of 94 movements52.7% of 93 movements18.9% of 90 movements16.1% of 93 movements17.8% of 90 movements27.5% of 91 movements202412.9% of 93 movements12.6% of 87 movements7.4% of 95 movements18.9% of 90 movements14.9% of 74 movements9.0% of 89 movements3.2% of 93 movements7.5% of 93 movements10.0% of 90 movements8.6% of 93 movements13.3% of 90 movements20.4% of 93 movements202516.9% of 89 movements9.8% of 82 movements14.3% of 91 movements17.8% of 90 movements7.5% of 93 movements5.5% of 91 movements10.8% of 93 movements8.5% of 94 movements10.0% of 90 movements8.6% of 93 movements7.8% of 90 movements9.8% of 92 movements20269.9% of 91 movements9.5% of 84 movements13.7% of 95 movements21.7% of 92 movements16.1% of 93 movements11.1% of 90 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan16.9%4.3–22.1%7 months, 746 flights
Feb14.9%9.5–20.1%7 months, 679 flights
Mar14.2%7.4–20.0%7 months, 747 flights
Apr21.6%12.2–26.7%7 months, 758 flights
May14.9%7.5–33.3%7 months, 739 flights
Jun9.2%5.5–22.0%7 months, 695 flights
Jul10.5%3.2–17.0%6 months, 623 flights
Aug10.1%6.6–52.7%6 months, 650 flights
Sep11.8%4.4–22.5%6 months, 628 flights
Oct12.4%4.3–25.0%6 months, 647 flights
Nov14.3%5.6–21.7%6 months, 664 flights
Dec18.7%2.2–28.7%6 months, 691 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 8.7% of 368 movements, British Airways 12.7% of 727 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 Airways12.7% of 727 flightsVirgin Atlantic Airways8.7% of 368 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways72712.7% of 727 movements1.2% of 727 movements1.9% of 727 movementsdescriptive comparison
Qatar Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
South African Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Virgin Atlantic Airways3688.7% of 368 movements1.9% of 368 movements0.3% of 368 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
Edi ↔ Johannesburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Johannesburgsuppressed: 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 11.5% of 1,097 movements disrupted, departures 27.5% of 1,092 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 LHR11.5% of 1,097 movements1.6% of 1,097 movements1.4% of 1,097 movements
Departures from LHR27.5% of 1,092 movements0.9% of 1,092 movements0.8% of 1,092 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 2026110 flights out of 8,999110 × £520 = £57,200
ArrivalsLast 72 months · Jul 2020–Jun 202682 flights out of 5,06182 × £520 = £42,640
DeparturesWhole archive · Jan 2018–Jun 2026114 flights out of 8,987114 × £520 = £59,280
DeparturesLast 72 months · Jul 2020–Jun 202679 flights out of 5,07179 × £520 = £41,080
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 / countryJOHANNESBURG / REPUBLIC OF SOUTH AFRICA
Final point codesJNB / FAOR
Great-circle distance9,075 km
Maximum statutory amount for the band£520
Average operated arrivals per day2.96
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 archive97

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: 1,097; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

11.5% of 1,097 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.6% of 1,097 movements in the same window.

How many delays crossed three hours?

1.4% of 1,097 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?

9,075 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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