UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ HELSINKI

In the twelve months from July 2025 to June 2026, 24.7% of 1,693 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, 75.3% of 1,693 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 1,693 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, 24.7% of 1,693 movements were disrupted and 2.5% of 1,693 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
24.7% of 1,693 movements2.5% of 1,693 movements19.3–48.9 min; N of delayed flights=376–8661,693
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: 2.5% of 1,693 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 min22.2%30 min9.9%60 min3.0%120 min0.5%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.2% of 1,693 movements3764.5
>30 min9.9% of 1,693 movements16710.1
>60 min3.0% of 1,693 movements5133.2
>120 min0.5% of 1,693 movements8211.6
>180 min0.1% of 1,693 movements11,693.0
>360 minno events in 1,693 movements0no observed events, which is not zero risk
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?

When this route runs late, it is usually only a little late: big blow-ups are rarer here 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 early26315.5%15–1 early52230.8%0–15 late49028.9%16–3020912.3%31–601166.9%61…120432.5%121…18070.4%181…36010.1%>36000.0%D=1,693
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0031; 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: May 2020, no events in 62 movements. Worst month: Dec 2023, 60.9% of 128 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: 39.5%; sample: 2152018Feb 2018: 21.0%; sample: 195Mar 2018: 17.1%; sample: 216Apr 2018: 33.5%; sample: 209May 2018: 10.3%; sample: 214Jun 2018: 20.1%; sample: 209Jul 2018: 22.5%; sample: 218Aug 2018: 23.1%; sample: 216Sep 2018: 25.5%; sample: 208Oct 2018: 22.6%; sample: 217Nov 2018: 19.4%; sample: 206Dec 2018: 47.5%; sample: 204Jan 2019: 26.3%; sample: 2052019Feb 2019: 29.2%; sample: 192Mar 2019: 36.1%; sample: 216Apr 2019: 14.8%; sample: 210May 2019: 13.8%; sample: 217Jun 2019: 41.4%; sample: 210Jul 2019: 19.4%; sample: 217Aug 2019: 26.4%; sample: 216Sep 2019: 23.1%; sample: 208Oct 2019: 32.3%; sample: 217Nov 2019: 12.4%; sample: 209Dec 2019: 30.5%; sample: 210Jan 2020: 20.3%; sample: 2172020Feb 2020: 37.1%; sample: 202Mar 2020: 8.7%; sample: 149Apr 2020: 3.3%; sample: 60May 2020: 0.0%; sample: 62Jun 2020: 3.3%; sample: 60Jul 2020: 1.6%; sample: 62Aug 2020: 1.5%; sample: 67Sep 2020: 8.2%; sample: 61Oct 2020: 3.1%; sample: 64Nov 2020: 8.3%; sample: 60Dec 2020: 14.0%; sample: 50Jan 2021: 20.0%; sample: 302021Feb 2021: 35.3%; sample: 34Mar 2021: 3.4%; sample: 58Apr 2021: 6.7%; sample: 60May 2021: 6.5%; sample: 62Jun 2021: 10.0%; sample: 60Jul 2021: 3.2%; sample: 62Aug 2021: 4.8%; sample: 62Sep 2021: 8.3%; sample: 60Oct 2021: 13.6%; sample: 88Nov 2021: 20.7%; sample: 87Dec 2021: 53.0%; sample: 100Jan 2022: 51.1%; sample: 882022Feb 2022: 39.3%; sample: 84Mar 2022: 13.3%; sample: 98Apr 2022: 12.9%; sample: 124May 2022: 9.3%; sample: 129Jun 2022: 26.6%; sample: 124Jul 2022: 11.6%; sample: 129Aug 2022: 9.4%; sample: 128Sep 2022: 13.0%; sample: 123Oct 2022: 14.0%; sample: 129Nov 2022: 9.2%; sample: 119Dec 2022: 42.1%; sample: 121Jan 2023: 28.8%; sample: 1252023Feb 2023: 21.4%; sample: 112Mar 2023: 19.8%; sample: 126Apr 2023: 8.1%; sample: 124May 2023: 6.2%; sample: 128Jun 2023: 17.1%; sample: 123Jul 2023: 14.8%; sample: 128Aug 2023: 12.5%; sample: 128Sep 2023: 26.0%; sample: 123Oct 2023: 27.6%; sample: 127Nov 2023: 23.4%; sample: 124Dec 2023: 60.9%; sample: 128Jan 2024: 44.5%; sample: 1282024Feb 2024: 49.2%; sample: 120Mar 2024: 27.3%; sample: 128Apr 2024: 32.5%; sample: 120May 2024: 20.2%; sample: 124Jun 2024: 20.8%; sample: 120Jul 2024: 25.0%; sample: 124Aug 2024: 26.0%; sample: 123Sep 2024: 32.2%; sample: 121Oct 2024: 23.9%; sample: 134Nov 2024: 36.5%; sample: 178Dec 2024: 52.0%; sample: 175Jan 2025: 48.9%; sample: 1862025Feb 2025: 25.6%; sample: 168Mar 2025: 28.0%; sample: 186Apr 2025: 13.9%; sample: 180May 2025: 19.5%; sample: 185Jun 2025: 24.3%; sample: 181Jul 2025: 15.7%; sample: 185Aug 2025: 18.8%; sample: 186Sep 2025: 25.6%; sample: 180Oct 2025: 25.3%; sample: 174Nov 2025: 26.7%; sample: 120Dec 2025: 37.9%; sample: 124Jan 2026: 39.8%; sample: 1232026Feb 2026: 47.3%; sample: 112Mar 2026: 13.6%; sample: 125Apr 2026: 10.0%; sample: 120May 2026: 14.5%; sample: 124Jun 2026: 30.0%; sample: 120Pandemic 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 201839.5% of 215 movements
Feb 201821.0% of 195 movements
Mar 201817.1% of 216 movements
Apr 201833.5% of 209 movements
May 201810.3% of 214 movements
Jun 201820.1% of 209 movements
Jul 201822.5% of 218 movements
Aug 201823.1% of 216 movements
Sep 201825.5% of 208 movements
Oct 201822.6% of 217 movements
Nov 201819.4% of 206 movements
Dec 201847.5% of 204 movements
Jan 201926.3% of 205 movements
Feb 201929.2% of 192 movements
Mar 201936.1% of 216 movements
Apr 201914.8% of 210 movements
May 201913.8% of 217 movements
Jun 201941.4% of 210 movements
Jul 201919.4% of 217 movements
Aug 201926.4% of 216 movements
Sep 201923.1% of 208 movements
Oct 201932.3% of 217 movements
Nov 201912.4% of 209 movements
Dec 201930.5% of 210 movements
Jan 202020.3% of 217 movements
Feb 202037.1% of 202 movements
Mar 20208.7% of 149 movements
Apr 20203.3% of 60 movements
May 2020no events in 62 movements
Jun 20203.3% of 60 movements
Jul 20201.6% of 62 movements
Aug 20201.5% of 67 movements
Sep 20208.2% of 61 movements
Oct 20203.1% of 64 movements
Nov 20208.3% of 60 movements
Dec 202014.0% of 50 movements
Jan 202120.0% of 30 movements — small sample, not ranked
Feb 202135.3% of 34 movements — small sample, not ranked
Mar 20213.4% of 58 movements
Apr 20216.7% of 60 movements
May 20216.5% of 62 movements
Jun 202110.0% of 60 movements
Jul 20213.2% of 62 movements
Aug 20214.8% of 62 movements
Sep 20218.3% of 60 movements
Oct 202113.6% of 88 movements
Nov 202120.7% of 87 movements
Dec 202153.0% of 100 movements
Jan 202251.1% of 88 movements
Feb 202239.3% of 84 movements
Mar 202213.3% of 98 movements
Apr 202212.9% of 124 movements
May 20229.3% of 129 movements
Jun 202226.6% of 124 movements
Jul 202211.6% of 129 movements
Aug 20229.4% of 128 movements
Sep 202213.0% of 123 movements
Oct 202214.0% of 129 movements
Nov 20229.2% of 119 movements
Dec 202242.1% of 121 movements
Jan 202328.8% of 125 movements
Feb 202321.4% of 112 movements
Mar 202319.8% of 126 movements
Apr 20238.1% of 124 movements
May 20236.2% of 128 movements
Jun 202317.1% of 123 movements
Jul 202314.8% of 128 movements
Aug 202312.5% of 128 movements
Sep 202326.0% of 123 movements
Oct 202327.6% of 127 movements
Nov 202323.4% of 124 movements
Dec 202360.9% of 128 movements
Jan 202444.5% of 128 movements
Feb 202449.2% of 120 movements
Mar 202427.3% of 128 movements
Apr 202432.5% of 120 movements
May 202420.2% of 124 movements
Jun 202420.8% of 120 movements
Jul 202425.0% of 124 movements
Aug 202426.0% of 123 movements
Sep 202432.2% of 121 movements
Oct 202423.9% of 134 movements
Nov 202436.5% of 178 movements
Dec 202452.0% of 175 movements
Jan 202548.9% of 186 movements
Feb 202525.6% of 168 movements
Mar 202528.0% of 186 movements
Apr 202513.9% of 180 movements
May 202519.5% of 185 movements
Jun 202524.3% of 181 movements
Jul 202515.7% of 185 movements
Aug 202518.8% of 186 movements
Sep 202525.6% of 180 movements
Oct 202525.3% of 174 movements
Nov 202526.7% of 120 movements
Dec 202537.9% of 124 movements
Jan 202639.8% of 123 movements
Feb 202647.3% of 112 movements
Mar 202613.6% of 125 movements
Apr 202610.0% of 120 movements
May 202614.5% of 124 movements
Jun 202630.0% of 120 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 2020Arrivals3.3% of 60 movements21.2% across 2,177 flightsreturned the next month
Pandemic regime · Jun 2020Departures5.0% of 60 movements19.2% across 2,178 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals11.6% of 129 movements21.4% across 1,106 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures38.0% of 129 movements23.2% across 1,104 flightsreturned the next month
NATS system failure · Aug 2023Arrivals12.5% of 128 movements17.0% across 1,486 flightsstill above it 8 months later
NATS system failure · Aug 2023Departures24.2% of 128 movements27.8% across 1,482 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals28.0% of 186 movements30.9% across 1,701 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures29.2% of 185 movements29.9% across 1,701 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?

December has historically been the hardest month on this route: in a typical December, 44.8% of arrivals were disrupted, measured across 6 Decembers in the archive. May has been the calmest, at 13.8% across 7 Mays.

Even December has ranged from 30.5% to 60.9% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201926.3% of 205 movements29.2% of 192 movements36.1% of 216 movements14.8% of 210 movements13.8% of 217 movements41.4% of 210 movements19.4% of 217 movements26.4% of 216 movements23.1% of 208 movements32.3% of 217 movements12.4% of 209 movements30.5% of 210 movements202020.3% of 217 movements37.1% of 202 movements8.7% of 149 movements3.3% of 60 movementsno events in 62 movements3.3% of 60 movements1.6% of 62 movements1.5% of 67 movements8.2% of 61 movements3.1% of 64 movements8.3% of 60 movements14.0% of 50 movements202120.0% of 30 movements †35.3% of 34 movements †3.4% of 58 movements6.7% of 60 movements6.5% of 62 movements10.0% of 60 movements3.2% of 62 movements4.8% of 62 movements8.3% of 60 movements13.6% of 88 movements20.7% of 87 movements53.0% of 100 movements202251.1% of 88 movements39.3% of 84 movements13.3% of 98 movements12.9% of 124 movements9.3% of 129 movements26.6% of 124 movements11.6% of 129 movements9.4% of 128 movements13.0% of 123 movements14.0% of 129 movements9.2% of 119 movements42.1% of 121 movements202328.8% of 125 movements21.4% of 112 movements19.8% of 126 movements8.1% of 124 movements6.2% of 128 movements17.1% of 123 movements14.8% of 128 movements12.5% of 128 movements26.0% of 123 movements27.6% of 127 movements23.4% of 124 movements60.9% of 128 movements202444.5% of 128 movements49.2% of 120 movements27.3% of 128 movements32.5% of 120 movements20.2% of 124 movements20.8% of 120 movements25.0% of 124 movements26.0% of 123 movements32.2% of 121 movements23.9% of 134 movements36.5% of 178 movements52.0% of 175 movements202548.9% of 186 movements25.6% of 168 movements28.0% of 186 movements13.9% of 180 movements19.5% of 185 movements24.3% of 181 movements15.7% of 185 movements18.8% of 186 movements25.6% of 180 movements25.3% of 174 movements26.7% of 120 movements37.9% of 124 movements202639.8% of 123 movements47.3% of 112 movements13.6% of 125 movements10.0% of 120 movements14.5% of 124 movements30.0% of 120 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan39.8%26.3–51.1%7 months, 1,070 flights
Feb29.2%21.0–49.2%7 months, 983 flights
Mar19.8%13.3–36.1%7 months, 1,095 flights
Apr13.9%8.1–33.5%7 months, 1,087 flights
May13.8%6.2–20.2%7 months, 1,121 flights
Jun24.3%17.1–41.4%7 months, 1,087 flights
Jul17.5%11.6–25.0%6 months, 1,001 flights
Aug21.0%9.4–26.4%6 months, 997 flights
Sep25.5%13.0–32.2%6 months, 963 flights
Oct24.6%14.0–32.3%6 months, 998 flights
Nov21.4%9.2–36.5%6 months, 956 flights
Dec44.8%30.5–60.9%6 months, 962 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?

Only one carrier published enough flights here to report: Finnair, 24.7% of 1,693 movements disrupted.

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 optionFinnair24.7% of 1,693 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Finnair1,69324.7% of 1,693 movements2.5% of 1,693 movements0.1% of 1,693 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, STN had the lowest disruption share at 20.2% of 400 movements and LGW the highest at 30.4% of 224 movements. This route sits at 24.7% of 1,693 movements.

Each figure is arrivals into that UK airport, all carriers combined, over the same twelve months. It is a historical record, not a recommendation about where to fly from, and it says nothing about getting to or from each airport on the ground.

Observed disruption share by optionEdi ↔ Helsinki20.5% of 351 flightsLgw ↔ Helsinki30.4% of 224 flightsMan ↔ Helsinki22.8% of 626 flightsStn ↔ Helsinki20.2% of 400 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Helsinkisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Helsinkisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Helsinkisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Helsinkisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Helsinkisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Helsinkisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Helsinkisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Helsinki35120.5% of 351 movements1.4% of 351 movementsno events in 351 movementsdescriptive comparison
Ema ↔ Helsinkisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Helsinkisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Helsinkisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Helsinki22430.4% of 224 movementsno events in 224 movements0.4% of 224 movementsdescriptive comparison
Ltn ↔ Helsinkisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Helsinki62622.8% of 626 movements1.0% of 626 movementsno events in 626 movementsdescriptive comparison
Ncl ↔ Helsinkisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Helsinki40020.2% of 400 movements1.0% of 400 movements0.2% of 400 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 24.7% of 1,693 movements disrupted, departures 27.2% of 1,693 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 LHR24.7% of 1,693 movements2.5% of 1,693 movements0.1% of 1,693 movements
Departures from LHR27.2% of 1,693 movements2.5% of 1,693 movements0.2% of 1,693 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 202615 flights out of 14,19715 × £350 = £5,250
ArrivalsLast 72 months · Jul 2020–Jun 20268 flights out of 8,3938 × £350 = £2,800
DeparturesWhole archive · Jan 2018–Jun 202635 flights out of 14,16435 × £350 = £12,250
DeparturesLast 72 months · Jul 2020–Jun 202625 flights out of 8,36125 × £350 = £8,750
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 / countryHELSINKI / FINLAND
Final point codesHEL / EFHK
Great-circle distance1,848 km
Maximum statutory amount for the band£350
Average operated arrivals per day4.52
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: 1,693; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

24.7% of 1,693 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.5% of 1,693 movements in the same window.

How many delays crossed three hours?

0.1% of 1,693 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

chronically slightly late. The class compares the tail with short delays across routes in the corpus.

What distance is used?

1,848 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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