UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ HONG KONG CHEK LAP KOK

In the twelve months from July 2025 to June 2026, 30.5% of 2,188 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, 69.5% of 2,188 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 109 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, 30.5% of 2,188 movements were disrupted and 0.7% of 2,188 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
30.5% of 2,188 movements0.7% of 2,188 movements32.8–62.2 min; N of delayed flights=653–1,1732,188
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 0.7% of 2,188 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 min29.8%30 min15.8%60 min5.7%120 min1.9%180 min0.9%360 min0.5%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min29.8% of 2,188 movements6533.4
>30 min15.8% of 2,188 movements3456.3
>60 min5.7% of 2,188 movements12417.6
>120 min1.9% of 2,188 movements4252.1
>180 min0.9% of 2,188 movements20109.4
>360 min0.5% of 2,188 movements12182.3
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 early45620.8%15–1 early54424.9%0–15 late52023.8%16–3030814.1%31–6022110.1%61…120823.7%121…180221.0%181…36080.4%>360120.5%D=2,188
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0378; 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 2021, 1.6% of 62 movements. Worst month: Sep 2022, 63.3% of 60 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: 24.0%; sample: 2422018Feb 2018: 10.6%; sample: 218Mar 2018: 31.4%; sample: 245Apr 2018: 49.3%; sample: 229May 2018: 16.7%; sample: 228Jun 2018: 16.7%; sample: 234Jul 2018: 8.1%; sample: 248Aug 2018: 17.3%; sample: 248Sep 2018: 30.8%; sample: 240Oct 2018: 21.7%; sample: 240Nov 2018: 21.0%; sample: 229Dec 2018: 22.8%; sample: 241Jan 2019: 12.0%; sample: 2412019Feb 2019: 17.1%; sample: 217Mar 2019: 22.2%; sample: 239Apr 2019: 39.2%; sample: 240May 2019: 15.5%; sample: 233Jun 2019: 18.4%; sample: 234Jul 2019: 8.5%; sample: 247Aug 2019: 21.5%; sample: 247Sep 2019: 13.4%; sample: 238Oct 2019: 33.3%; sample: 237Nov 2019: 18.1%; sample: 226Dec 2019: 15.4%; sample: 234Jan 2020: 17.3%; sample: 2372020Feb 2020: 26.1%; sample: 207Mar 2020: 13.7%; sample: 117Apr 2020: 15.6%; sample: 32May 2020: 3.7%; sample: 27Jun 2020: 3.0%; sample: 33Jul 2020: 9.6%; sample: 52Aug 2020: 3.0%; sample: 67Sep 2020: 8.1%; sample: 86Oct 2020: 19.7%; sample: 76Nov 2020: 3.2%; sample: 62Dec 2020: 19.4%; sample: 62Jan 2021: 17.5%; sample: 402021Feb 2021: 3.3%; sample: 30Mar 2021: 0.0%; sample: 47Apr 2021: 3.5%; sample: 57May 2021: 11.9%; sample: 59Jun 2021: 1.6%; sample: 62Jul 2021: 6.5%; sample: 93Aug 2021: 4.5%; sample: 112Sep 2021: 6.1%; sample: 180Oct 2021: 31.2%; sample: 112Nov 2021: 8.5%; sample: 82Dec 2021: 23.4%; sample: 77Jan 2022: suppressed: fewer than twenty movements×2022Feb 2022: suppressed: fewer than twenty movements×Mar 2022: suppressed: fewer than twenty movements×Apr 2022: suppressed: fewer than twenty movements×May 2022: 76.9%; sample: 26Jun 2022: 65.7%; sample: 35Jul 2022: 72.1%; sample: 43Aug 2022: 34.1%; sample: 44Sep 2022: 63.3%; sample: 60Oct 2022: 77.3%; sample: 44Nov 2022: 26.4%; sample: 87Dec 2022: 18.1%; sample: 94Jan 2023: 12.8%; sample: 1252023Feb 2023: 38.3%; sample: 128Mar 2023: 29.3%; sample: 164Apr 2023: 36.2%; sample: 185May 2023: 13.3%; sample: 180Jun 2023: 25.9%; sample: 189Jul 2023: 28.2%; sample: 206Aug 2023: 25.9%; sample: 201Sep 2023: 41.3%; sample: 208Oct 2023: 23.4%; sample: 197Nov 2023: 36.0%; sample: 172Dec 2023: 51.9%; sample: 181Jan 2024: 38.5%; sample: 1792024Feb 2024: 30.4%; sample: 161Mar 2024: 17.8%; sample: 174Apr 2024: 37.9%; sample: 182May 2024: 25.4%; sample: 193Jun 2024: 23.4%; sample: 209Jul 2024: 27.3%; sample: 194Aug 2024: 36.5%; sample: 203Sep 2024: 26.8%; sample: 209Oct 2024: 26.8%; sample: 213Nov 2024: 9.8%; sample: 173Dec 2024: 13.5%; sample: 171Jan 2025: 8.7%; sample: 1842025Feb 2025: 8.9%; sample: 168Mar 2025: 9.2%; sample: 185Apr 2025: 41.1%; sample: 180May 2025: 30.4%; sample: 181Jun 2025: 22.7%; sample: 176Jul 2025: 21.6%; sample: 185Aug 2025: 32.1%; sample: 187Sep 2025: 51.4%; sample: 179Oct 2025: 40.3%; sample: 186Nov 2025: 7.7%; sample: 181Dec 2025: 19.4%; sample: 186Jan 2026: 30.6%; sample: 1862026Feb 2026: 30.7%; sample: 163Mar 2026: 15.3%; sample: 190Apr 2026: 56.0%; sample: 184May 2026: 31.3%; sample: 182Jun 2026: 30.7%; sample: 179Pandemic 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 201824.0% of 242 movements
Feb 201810.6% of 218 movements
Mar 201831.4% of 245 movements
Apr 201849.3% of 229 movements
May 201816.7% of 228 movements
Jun 201816.7% of 234 movements
Jul 20188.1% of 248 movements
Aug 201817.3% of 248 movements
Sep 201830.8% of 240 movements
Oct 201821.7% of 240 movements
Nov 201821.0% of 229 movements
Dec 201822.8% of 241 movements
Jan 201912.0% of 241 movements
Feb 201917.1% of 217 movements
Mar 201922.2% of 239 movements
Apr 201939.2% of 240 movements
May 201915.5% of 233 movements
Jun 201918.4% of 234 movements
Jul 20198.5% of 247 movements
Aug 201921.5% of 247 movements
Sep 201913.4% of 238 movements
Oct 201933.3% of 237 movements
Nov 201918.1% of 226 movements
Dec 201915.4% of 234 movements
Jan 202017.3% of 237 movements
Feb 202026.1% of 207 movements
Mar 202013.7% of 117 movements
Apr 202015.6% of 32 movements — small sample, not ranked
May 20203.7% of 27 movements — small sample, not ranked
Jun 20203.0% of 33 movements — small sample, not ranked
Jul 20209.6% of 52 movements
Aug 20203.0% of 67 movements
Sep 20208.1% of 86 movements
Oct 202019.7% of 76 movements
Nov 20203.2% of 62 movements
Dec 202019.4% of 62 movements
Jan 202117.5% of 40 movements — small sample, not ranked
Feb 20213.3% of 30 movements — small sample, not ranked
Mar 2021no events in 47 movements — small sample, not ranked
Apr 20213.5% of 57 movements
May 202111.9% of 59 movements
Jun 20211.6% of 62 movements
Jul 20216.5% of 93 movements
Aug 20214.5% of 112 movements
Sep 20216.1% of 180 movements
Oct 202131.2% of 112 movements
Nov 20218.5% of 82 movements
Dec 202123.4% of 77 movements
Jan 2022suppressed: fewer than twenty movements
Feb 2022suppressed: fewer than twenty movements
Mar 2022suppressed: fewer than twenty movements
Apr 2022suppressed: fewer than twenty movements
May 202276.9% of 26 movements — small sample, not ranked
Jun 202265.7% of 35 movements — small sample, not ranked
Jul 202272.1% of 43 movements — small sample, not ranked
Aug 202234.1% of 44 movements — small sample, not ranked
Sep 202263.3% of 60 movements
Oct 202277.3% of 44 movements — small sample, not ranked
Nov 202226.4% of 87 movements
Dec 202218.1% of 94 movements
Jan 202312.8% of 125 movements
Feb 202338.3% of 128 movements
Mar 202329.3% of 164 movements
Apr 202336.2% of 185 movements
May 202313.3% of 180 movements
Jun 202325.9% of 189 movements
Jul 202328.2% of 206 movements
Aug 202325.9% of 201 movements
Sep 202341.3% of 208 movements
Oct 202323.4% of 197 movements
Nov 202336.0% of 172 movements
Dec 202351.9% of 181 movements
Jan 202438.5% of 179 movements
Feb 202430.4% of 161 movements
Mar 202417.8% of 174 movements
Apr 202437.9% of 182 movements
May 202425.4% of 193 movements
Jun 202423.4% of 209 movements
Jul 202427.3% of 194 movements
Aug 202436.5% of 203 movements
Sep 202426.8% of 209 movements
Oct 202426.8% of 213 movements
Nov 20249.8% of 173 movements
Dec 202413.5% of 171 movements
Jan 20258.7% of 184 movements
Feb 20258.9% of 168 movements
Mar 20259.2% of 185 movements
Apr 202541.1% of 180 movements
May 202530.4% of 181 movements
Jun 202522.7% of 176 movements
Jul 202521.6% of 185 movements
Aug 202532.1% of 187 movements
Sep 202551.4% of 179 movements
Oct 202540.3% of 186 movements
Nov 20257.7% of 181 movements
Dec 202519.4% of 186 movements
Jan 202630.6% of 186 movements
Feb 202630.7% of 163 movements
Mar 202615.3% of 190 movements
Apr 202656.0% of 184 movements
May 202631.3% of 182 movements
Jun 202630.7% of 179 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 2020Arrivals3.0% of 33 movements — small sample, not ranked17.1% across 2,283 flightsreturned the next month
Pandemic regime · Jun 2020Departures36.4% of 33 movements — small sample, not ranked22.2% across 2,281 flightsreturned after 2 months
Summer 2022 breakdown · Jul 2022Arrivals72.1% of 43 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures81.4% of 43 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals25.9% of 201 movements33.6% across 1,506 flightsreturned after 2 months
NATS system failure · Aug 2023Departures46.2% of 199 movements53.8% across 1,495 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals9.2% of 185 movements21.9% across 2,273 flightsreturned after 4 months
Heathrow fire closure · Mar 2025Departures18.8% of 186 movements34.4% across 2,270 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, 40.1% of arrivals were disrupted, measured across 6 Aprils in the archive. January has been the calmest, at 18.4% across 6 Januarys.

Even April has ranged from 36.2% to 56.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201912.0% of 241 movements17.1% of 217 movements22.2% of 239 movements39.2% of 240 movements15.5% of 233 movements18.4% of 234 movements8.5% of 247 movements21.5% of 247 movements13.4% of 238 movements33.3% of 237 movements18.1% of 226 movements15.4% of 234 movements202017.3% of 237 movements26.1% of 207 movements13.7% of 117 movements15.6% of 32 movements †3.7% of 27 movements †3.0% of 33 movements †9.6% of 52 movements3.0% of 67 movements8.1% of 86 movements19.7% of 76 movements3.2% of 62 movements19.4% of 62 movements202117.5% of 40 movements †3.3% of 30 movements †no events in 47 movements †3.5% of 57 movements11.9% of 59 movements1.6% of 62 movements6.5% of 93 movements4.5% of 112 movements6.1% of 180 movements31.2% of 112 movements8.5% of 82 movements23.4% of 77 movements2022suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements76.9% of 26 movements †65.7% of 35 movements †72.1% of 43 movements †34.1% of 44 movements †63.3% of 60 movements77.3% of 44 movements †26.4% of 87 movements18.1% of 94 movements202312.8% of 125 movements38.3% of 128 movements29.3% of 164 movements36.2% of 185 movements13.3% of 180 movements25.9% of 189 movements28.2% of 206 movements25.9% of 201 movements41.3% of 208 movements23.4% of 197 movements36.0% of 172 movements51.9% of 181 movements202438.5% of 179 movements30.4% of 161 movements17.8% of 174 movements37.9% of 182 movements25.4% of 193 movements23.4% of 209 movements27.3% of 194 movements36.5% of 203 movements26.8% of 209 movements26.8% of 213 movements9.8% of 173 movements13.5% of 171 movements20258.7% of 184 movements8.9% of 168 movements9.2% of 185 movements41.1% of 180 movements30.4% of 181 movements22.7% of 176 movements21.6% of 185 movements32.1% of 187 movements51.4% of 179 movements40.3% of 186 movements7.7% of 181 movements19.4% of 186 movements202630.6% of 186 movements30.7% of 163 movements15.3% of 190 movements56.0% of 184 movements31.3% of 182 movements30.7% of 179 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan18.4%8.7–38.5%6 months, 1,157 flights
Feb23.7%8.9–38.3%6 months, 1,055 flights
Mar20.0%9.2–31.4%6 months, 1,197 flights
Apr40.1%36.2–56.0%6 months, 1,200 flights
May25.4%13.3–76.9%7 months, 1,223 flights
Jun23.4%16.7–65.7%7 months, 1,256 flights
Jul24.5%8.1–72.1%6 months, 1,123 flights
Aug29.0%17.3–36.5%6 months, 1,130 flights
Sep36.1%13.4–63.3%6 months, 1,134 flights
Oct30.0%21.7–77.3%6 months, 1,117 flights
Nov19.6%7.7–36.0%6 months, 1,068 flights
Dec18.7%13.5–51.9%6 months, 1,107 flights
Definitions, denominators and limits

The matrix shows the last eight calendar years, including an incomplete final year; the start of the archive is kept in the history above. Seasonal summaries use the whole available archive, excluding the pandemic regime 2020–2021; this is an observed range, not a forecast. Zero events, missing data and suppressed cells are marked separately. † marks a small sample, described but not ranked. For ranges the colour follows the upper bound.

Which airline has the better record here?

On the published record there is no clear winner: British Airways 13.1% of 360 movements, Cathay Pacific Airways 34.0% of 1,828 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 Airways13.1% of 360 flightsCathay Pacific Airways34.0% of 1,828 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways36013.1% of 360 movements0.8% of 360 movements0.6% of 360 movementsdescriptive comparison
Cathay Pacific Airways1,82834.0% of 1,828 movements0.7% of 1,828 movements1.0% of 1,828 movementsdescriptive comparison
Virgin Atlantic Airwayssuppressed: 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 34.0% of 365 movements and MAN the highest at 34.0% of 365 movements. This route sits at 30.5% of 2,188 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 optionMan ↔ Hong-Kong-Chek-Lap-Kok34.0% of 365 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Hong-Kong-Chek-Lap-Koksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Hong-Kong-Chek-Lap-Koksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Hong-Kong-Chek-Lap-Koksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Hong-Kong-Chek-Lap-Koksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Hong-Kong-Chek-Lap-Kok36534.0% of 365 movements0.8% of 365 movements0.8% of 365 movementsdescriptive comparison
Stn ↔ Hong-Kong-Chek-Lap-Koksuppressed: 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 30.5% of 2,188 movements disrupted, departures 30.2% of 2,193 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 LHR30.5% of 2,188 movements0.7% of 2,188 movements0.9% of 2,188 movements
Departures from LHR30.2% of 2,193 movements1.1% of 2,193 movements0.6% of 2,193 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 202681 flights out of 15,82281 × £520 = £42,120
ArrivalsLast 72 months · Jul 2020–Jun 202657 flights out of 9,49457 × £520 = £29,640
DeparturesWhole archive · Jan 2018–Jun 202691 flights out of 15,16091 × £520 = £47,320
DeparturesLast 72 months · Jul 2020–Jun 202670 flights out of 8,84370 × £520 = £36,400
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 / countryHONG KONG (CHEK LAP KOK) / HONG KONG
Final point codesHKG / VHHH
Great-circle distance9,630 km
Maximum statutory amount for the band£520
Average operated arrivals per day5.95
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 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: 2,188; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

30.5% of 2,188 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.7% of 2,188 movements in the same window.

How many delays crossed three hours?

0.9% of 2,188 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?

9,630 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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