UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

JER ↔ HEATHROW

In the twelve months from July 2025 to June 2026, 23.5% of 1,081 movements arriving into JER were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 76.5% of 1,081 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 216 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, 23.5% of 1,081 movements were disrupted and 0.8% of 1,081 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
23.5% of 1,081 movements0.8% of 1,081 movements19.6–56.2 min; N of delayed flights=245–6471,081
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: 0.8% of 1,081 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 min22.7%30 min11.6%60 min3.5%120 min0.9%180 min0.5%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.7% of 1,081 movements2454.4
>30 min11.6% of 1,081 movements1258.6
>60 min3.5% of 1,081 movements3828.4
>120 min0.9% of 1,081 movements10108.1
>180 min0.5% of 1,081 movements5216.2
>360 min0.1% of 1,081 movements11,081.0
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 early434.0%15–1 early38235.3%0–15 late40237.2%16–3012011.1%31–60878.0%61…120282.6%121…18050.5%181…36040.4%>36010.1%D=1,081
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0242; 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: Sep 2020, 2.5% of 80 movements. Worst month: Jun 2022, 55.8% of 113 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: no data×2018Feb 2018: no data×Mar 2018: no data×Apr 2018: no data×May 2018: no data×Jun 2018: no data×Jul 2018: no data×Aug 2018: no data×Sep 2018: no data×Oct 2018: no data×Nov 2018: no data×Dec 2018: no data×Jan 2019: no data×2019Feb 2019: no data×Mar 2019: no data×Apr 2019: no data×May 2019: suppressed: fewer than twenty movements×Jun 2019: no data×Jul 2019: no data×Aug 2019: suppressed: fewer than twenty movements×Sep 2019: no data×Oct 2019: no data×Nov 2019: no data×Dec 2019: no data×Jan 2020: suppressed: fewer than twenty movements×2020Feb 2020: no data×Mar 2020: no data×Apr 2020: no data×May 2020: suppressed: fewer than twenty movements×Jun 2020: no data×Jul 2020: 4.4%; sample: 45Aug 2020: 6.3%; sample: 79Sep 2020: 2.5%; sample: 80Oct 2020: 7.4%; sample: 81Nov 2020: 0.0%; sample: 26Dec 2020: 15.4%; sample: 26Jan 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: 8.8%; sample: 34Jun 2021: 5.7%; sample: 70Jul 2021: 5.1%; sample: 78Aug 2021: 11.4%; sample: 79Sep 2021: 18.7%; sample: 91Oct 2021: 17.0%; sample: 106Nov 2021: 24.8%; sample: 121Dec 2021: 22.8%; sample: 114Jan 2022: 14.0%; sample: 932022Feb 2022: 25.9%; sample: 108Mar 2022: 41.8%; sample: 122Apr 2022: 36.6%; sample: 131May 2022: 29.3%; sample: 140Jun 2022: 55.8%; sample: 113Jul 2022: 44.2%; sample: 104Aug 2022: 24.6%; sample: 130Sep 2022: 40.1%; sample: 137Oct 2022: 42.9%; sample: 126Nov 2022: 40.4%; sample: 109Dec 2022: 55.4%; sample: 101Jan 2023: 38.6%; sample: 1142023Feb 2023: 35.3%; sample: 102Mar 2023: 50.0%; sample: 126Apr 2023: 37.1%; sample: 124May 2023: 44.6%; sample: 130Jun 2023: 40.2%; sample: 122Jul 2023: 40.0%; sample: 130Aug 2023: 45.9%; sample: 135Sep 2023: 40.8%; sample: 130Oct 2023: 29.6%; sample: 135Nov 2023: 25.4%; sample: 130Dec 2023: 38.0%; sample: 121Jan 2024: 23.6%; sample: 1272024Feb 2024: 26.0%; sample: 131Mar 2024: 32.4%; sample: 139Apr 2024: 21.4%; sample: 131May 2024: 36.9%; sample: 141Jun 2024: 38.0%; sample: 121Jul 2024: 39.7%; sample: 136Aug 2024: 36.2%; sample: 138Sep 2024: 50.0%; sample: 130Oct 2024: 29.3%; sample: 133Nov 2024: 21.6%; sample: 88Dec 2024: 37.1%; sample: 89Jan 2025: 19.8%; sample: 912025Feb 2025: 9.0%; sample: 89Mar 2025: 22.1%; sample: 95Apr 2025: 12.2%; sample: 90May 2025: 16.1%; sample: 87Jun 2025: 23.3%; sample: 90Jul 2025: 32.2%; sample: 90Aug 2025: 31.1%; sample: 90Sep 2025: 38.9%; sample: 90Oct 2025: 24.4%; sample: 90Nov 2025: 14.9%; sample: 94Dec 2025: 16.5%; sample: 91Jan 2026: 25.0%; sample: 882026Feb 2026: 18.3%; sample: 82Mar 2026: 11.8%; sample: 93Apr 2026: 7.3%; sample: 96May 2026: 23.2%; sample: 95Jun 2026: 41.5%; sample: 82Pandemic 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 2018no data
Feb 2018no data
Mar 2018no data
Apr 2018no data
May 2018no data
Jun 2018no data
Jul 2018no data
Aug 2018no data
Sep 2018no data
Oct 2018no data
Nov 2018no data
Dec 2018no data
Jan 2019no data
Feb 2019no data
Mar 2019no data
Apr 2019no data
May 2019suppressed: fewer than twenty movements
Jun 2019no data
Jul 2019no data
Aug 2019suppressed: fewer than twenty movements
Sep 2019no data
Oct 2019no data
Nov 2019no data
Dec 2019no data
Jan 2020suppressed: fewer than twenty movements
Feb 2020no data
Mar 2020no data
Apr 2020no data
May 2020suppressed: fewer than twenty movements
Jun 2020no data
Jul 20204.4% of 45 movements — small sample, not ranked
Aug 20206.3% of 79 movements
Sep 20202.5% of 80 movements
Oct 20207.4% of 81 movements
Nov 2020no events in 26 movements — small sample, not ranked
Dec 202015.4% of 26 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 20218.8% of 34 movements — small sample, not ranked
Jun 20215.7% of 70 movements
Jul 20215.1% of 78 movements
Aug 202111.4% of 79 movements
Sep 202118.7% of 91 movements
Oct 202117.0% of 106 movements
Nov 202124.8% of 121 movements
Dec 202122.8% of 114 movements
Jan 202214.0% of 93 movements
Feb 202225.9% of 108 movements
Mar 202241.8% of 122 movements
Apr 202236.6% of 131 movements
May 202229.3% of 140 movements
Jun 202255.8% of 113 movements
Jul 202244.2% of 104 movements
Aug 202224.6% of 130 movements
Sep 202240.1% of 137 movements
Oct 202242.9% of 126 movements
Nov 202240.4% of 109 movements
Dec 202255.4% of 101 movements
Jan 202338.6% of 114 movements
Feb 202335.3% of 102 movements
Mar 202350.0% of 126 movements
Apr 202337.1% of 124 movements
May 202344.6% of 130 movements
Jun 202340.2% of 122 movements
Jul 202340.0% of 130 movements
Aug 202345.9% of 135 movements
Sep 202340.8% of 130 movements
Oct 202329.6% of 135 movements
Nov 202325.4% of 130 movements
Dec 202338.0% of 121 movements
Jan 202423.6% of 127 movements
Feb 202426.0% of 131 movements
Mar 202432.4% of 139 movements
Apr 202421.4% of 131 movements
May 202436.9% of 141 movements
Jun 202438.0% of 121 movements
Jul 202439.7% of 136 movements
Aug 202436.2% of 138 movements
Sep 202450.0% of 130 movements
Oct 202429.3% of 133 movements
Nov 202421.6% of 88 movements
Dec 202437.1% of 89 movements
Jan 202519.8% of 91 movements
Feb 20259.0% of 89 movements
Mar 202522.1% of 95 movements
Apr 202512.2% of 90 movements
May 202516.1% of 87 movements
Jun 202523.3% of 90 movements
Jul 202532.2% of 90 movements
Aug 202531.1% of 90 movements
Sep 202538.9% of 90 movements
Oct 202524.4% of 90 movements
Nov 202514.9% of 94 movements
Dec 202516.5% of 91 movements
Jan 202625.0% of 88 movements
Feb 202618.3% of 82 movements
Mar 202611.8% of 93 movements
Apr 20267.3% of 96 movements
May 202623.2% of 95 movements
Jun 202641.5% of 82 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 2020Arrivalsno datano complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuresno datano complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals44.2% of 104 movements25.3% across 1,296 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures39.4% of 104 movements22.1% across 1,302 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals45.9% of 135 movements40.8% across 1,451 flightsreturned after 2 months
NATS system failure · Aug 2023Departures41.2% of 131 movements33.4% across 1,456 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals22.1% of 95 movements30.9% across 1,426 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures25.3% of 95 movements32.8% across 1,430 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?

September has historically been the hardest month on this route: in a typical September, 40.5% of arrivals were disrupted, measured across 4 Septembers in the archive. April has been the calmest, at 21.4% across 5 Aprils.

Even September has ranged from 38.9% 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 nJanFebMarAprMayJunJulAugSepOctNovDec2019no datano datano datano datasuppressed: fewer than twenty movementsno datano datasuppressed: fewer than twenty movementsno datano datano datano data2020suppressed: fewer than twenty movementsno datano datano datasuppressed: fewer than twenty movementsno data4.4% of 45 movements †6.3% of 79 movements2.5% of 80 movements7.4% of 81 movementsno events in 26 movements †15.4% of 26 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements8.8% of 34 movements †5.7% of 70 movements5.1% of 78 movements11.4% of 79 movements18.7% of 91 movements17.0% of 106 movements24.8% of 121 movements22.8% of 114 movements202214.0% of 93 movements25.9% of 108 movements41.8% of 122 movements36.6% of 131 movements29.3% of 140 movements55.8% of 113 movements44.2% of 104 movements24.6% of 130 movements40.1% of 137 movements42.9% of 126 movements40.4% of 109 movements55.4% of 101 movements202338.6% of 114 movements35.3% of 102 movements50.0% of 126 movements37.1% of 124 movements44.6% of 130 movements40.2% of 122 movements40.0% of 130 movements45.9% of 135 movements40.8% of 130 movements29.6% of 135 movements25.4% of 130 movements38.0% of 121 movements202423.6% of 127 movements26.0% of 131 movements32.4% of 139 movements21.4% of 131 movements36.9% of 141 movements38.0% of 121 movements39.7% of 136 movements36.2% of 138 movements50.0% of 130 movements29.3% of 133 movements21.6% of 88 movements37.1% of 89 movements202519.8% of 91 movements9.0% of 89 movements22.1% of 95 movements12.2% of 90 movements16.1% of 87 movements23.3% of 90 movements32.2% of 90 movements31.1% of 90 movements38.9% of 90 movements24.4% of 90 movements14.9% of 94 movements16.5% of 91 movements202625.0% of 88 movements18.3% of 82 movements11.8% of 93 movements7.3% of 96 movements23.2% of 95 movements41.5% of 82 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan23.6%14.0–38.6%5 months, 513 flights
Feb25.9%9.0–35.3%5 months, 512 flights
Mar32.4%11.8–50.0%5 months, 575 flights
Apr21.4%7.3–37.1%5 months, 572 flights
May29.3%16.1–44.6%5 months, 593 flights
Jun40.2%23.3–55.8%5 months, 528 flights
Jul39.9%32.2–44.2%4 months, 460 flights
Aug33.7%24.6–45.9%4 months, 493 flights
Sep40.5%38.9–50.0%4 months, 487 flights
Oct29.5%24.4–42.9%4 months, 484 flights
Nov23.5%14.9–40.4%4 months, 421 flights
Dec37.5%16.5–55.4%4 months, 402 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: British Airways Plc, 23.5% of 1,081 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 optionBritish Airways23.5% of 1,081 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways1,08123.5% of 1,081 movements0.8% of 1,081 movements0.5% of 1,081 movementsdescriptive comparison
Flybesuppressed: 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, NCL had the lowest disruption share at 18.6% of 1,838 movements and MAN the highest at 29.1% of 2,568 movements. This route sits at 23.5% of 1,081 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 optionAbz ↔ Heathrow20.3% of 2,341 flightsBhd ↔ Heathrow19.6% of 2,266 flightsEdi ↔ Heathrow23.0% of 3,751 flightsGla ↔ Heathrow20.9% of 3,563 flightsIom ↔ Heathrow21.2% of 363 flightsMan ↔ Heathrow29.1% of 2,568 flightsNcl ↔ Heathrow18.6% of 1,838 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Heathrow2,34120.3% of 2,341 movements2.5% of 2,341 movements0.3% of 2,341 movementsdescriptive comparison
Bfs ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Heathrow2,26619.6% of 2,266 movements1.3% of 2,266 movements0.1% of 2,266 movementsdescriptive comparison
Bhx ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Heathrow3,75123.0% of 3,751 movements1.2% of 3,751 movements0.1% of 3,751 movementsdescriptive comparison
Ext ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Heathrow3,56320.9% of 3,563 movements1.0% of 3,563 movements0.1% of 3,563 movementsdescriptive comparison
Iom ↔ Heathrow36321.2% of 363 movements2.2% of 363 movements0.3% of 363 movementsdescriptive comparison
Lba ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Heathrow2,56829.1% of 2,568 movements0.6% of 2,568 movements0.2% of 2,568 movementsdescriptive comparison
Mme ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Heathrow1,83818.6% of 1,838 movements0.8% of 1,838 movementsno events in 1,838 movementsdescriptive comparison
Sou ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Heathrowsuppressed: 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 JER ran 23.5% of 1,081 movements disrupted, departures 22.8% of 1,082 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 JER23.5% of 1,081 movements0.8% of 1,081 movements0.5% of 1,081 movements
Departures from JER22.8% of 1,082 movements1.1% of 1,082 movements0.6% of 1,082 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 202628 flights out of 7,12128 × £220 = £6,160
ArrivalsLast 72 months · Jul 2020–Jun 202628 flights out of 7,11828 × £220 = £6,160
DeparturesWhole archive · Jan 2018–Jun 202645 flights out of 7,13145 × £220 = £9,900
DeparturesLast 72 months · Jul 2020–Jun 202645 flights out of 7,13145 × £220 = £9,900
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 airportJERSEY · JER
Final point / countryHEATHROW / UNITED KINGDOM
Final point codesLHR / EGLL
Great-circle distance280 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.94
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthMay 2019–Jun 2026
Months with operations in the archive75

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: 1,081; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

23.5% of 1,081 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.8% of 1,081 movements in the same window.

How many delays crossed three hours?

0.5% of 1,081 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?

280 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

We'll email you once; unsubscribe any time.

Related records