UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ BOSTON

In the twelve months from July 2025 to June 2026, 16.4% of 2,729 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, 83.6% of 2,729 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 227 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, 16.4% of 2,729 movements were disrupted and 2.1% of 2,729 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
16.4% of 2,729 movements2.1% of 2,729 movements29.5–70.3 min; N of delayed flights=392–8452,729
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: 2.1% of 2,729 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 min14.4%30 min8.0%60 min3.4%120 min1.0%180 min0.4%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min14.4% of 2,729 movements3927.0
>30 min8.0% of 2,729 movements21812.5
>60 min3.4% of 2,729 movements9229.7
>120 min1.0% of 2,729 movements27101.1
>180 min0.4% of 2,729 movements12227.4
>360 min0.1% of 2,729 movements3909.7
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 early1,01337.1%15–1 early81529.9%0–15 late45316.6%16–301746.4%31–601264.6%61…120652.4%121…180150.5%181…36090.3%>36030.1%D=2,729
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0400; 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, 3.0% of 66 movements. Worst month: Dec 2022, 42.6% of 223 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: 23.9%; sample: 1552018Feb 2018: 10.6%; sample: 141Mar 2018: 39.3%; sample: 163Apr 2018: 6.1%; sample: 179May 2018: 13.4%; sample: 186Jun 2018: 18.3%; sample: 180Jul 2018: 23.1%; sample: 186Aug 2018: 15.1%; sample: 186Sep 2018: 10.0%; sample: 180Oct 2018: 11.4%; sample: 184Nov 2018: 21.3%; sample: 155Dec 2018: 14.3%; sample: 161Jan 2019: 23.7%; sample: 1692019Feb 2019: 14.4%; sample: 146Mar 2019: 14.0%; sample: 164Apr 2019: 8.7%; sample: 206May 2019: 9.2%; sample: 217Jun 2019: 26.7%; sample: 210Jul 2019: 17.4%; sample: 213Aug 2019: 20.3%; sample: 212Sep 2019: 14.1%; sample: 199Oct 2019: 12.5%; sample: 208Nov 2019: 13.3%; sample: 188Dec 2019: 22.4%; sample: 192Jan 2020: 12.1%; sample: 1992020Feb 2020: 10.5%; sample: 181Mar 2020: 13.3%; sample: 135Apr 2020: 0.0%; sample: 30May 2020: 0.0%; sample: 31Jun 2020: 0.0%; sample: 30Jul 2020: 0.0%; sample: 31Aug 2020: 0.0%; sample: 31Sep 2020: 4.9%; sample: 41Oct 2020: 2.4%; sample: 42Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 16.2%; sample: 37Jan 2021: 9.8%; sample: 412021Feb 2021: 8.6%; sample: 35Mar 2021: 0.0%; sample: 35Apr 2021: 5.9%; sample: 34May 2021: 2.9%; sample: 35Jun 2021: 3.0%; sample: 66Jul 2021: 5.5%; sample: 73Aug 2021: 7.4%; sample: 81Sep 2021: 4.7%; sample: 106Oct 2021: 4.5%; sample: 111Nov 2021: 5.3%; sample: 113Dec 2021: 8.1%; sample: 123Jan 2022: 10.1%; sample: 1192022Feb 2022: 21.3%; sample: 94Mar 2022: 19.4%; sample: 129Apr 2022: 17.6%; sample: 193May 2022: 23.4%; sample: 218Jun 2022: 38.5%; sample: 205Jul 2022: 22.4%; sample: 201Aug 2022: 13.8%; sample: 181Sep 2022: 19.4%; sample: 206Oct 2022: 16.9%; sample: 242Nov 2022: 10.7%; sample: 206Dec 2022: 42.6%; sample: 223Jan 2023: 22.9%; sample: 2232023Feb 2023: 28.0%; sample: 225Mar 2023: 31.2%; sample: 247Apr 2023: 28.1%; sample: 235May 2023: 35.4%; sample: 237Jun 2023: 42.1%; sample: 242Jul 2023: 32.0%; sample: 244Aug 2023: 31.3%; sample: 249Sep 2023: 27.0%; sample: 241Oct 2023: 19.8%; sample: 243Nov 2023: 7.2%; sample: 194Dec 2023: 14.9%; sample: 202Jan 2024: 25.6%; sample: 1762024Feb 2024: 15.8%; sample: 152Mar 2024: 10.3%; sample: 203Apr 2024: 21.7%; sample: 240May 2024: 21.3%; sample: 249Jun 2024: 19.9%; sample: 241Jul 2024: 17.2%; sample: 250Aug 2024: 21.1%; sample: 242Sep 2024: 18.2%; sample: 236Oct 2024: 13.5%; sample: 245Nov 2024: 11.5%; sample: 200Dec 2024: 24.0%; sample: 217Jan 2025: 19.0%; sample: 2102025Feb 2025: 18.4%; sample: 174Mar 2025: 18.6%; sample: 215Apr 2025: 14.5%; sample: 235May 2025: 16.1%; sample: 248Jun 2025: 12.6%; sample: 239Jul 2025: 16.5%; sample: 249Aug 2025: 17.3%; sample: 249Sep 2025: 13.3%; sample: 240Oct 2025: 16.5%; sample: 231Nov 2025: 14.0%; sample: 214Dec 2025: 22.4%; sample: 223Jan 2026: 18.6%; sample: 2152026Feb 2026: 24.1%; sample: 191Mar 2026: 6.8%; sample: 220Apr 2026: 12.4%; sample: 225May 2026: 18.3%; sample: 230Jun 2026: 17.8%; sample: 242Pandemic 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 201823.9% of 155 movements
Feb 201810.6% of 141 movements
Mar 201839.3% of 163 movements
Apr 20186.1% of 179 movements
May 201813.4% of 186 movements
Jun 201818.3% of 180 movements
Jul 201823.1% of 186 movements
Aug 201815.1% of 186 movements
Sep 201810.0% of 180 movements
Oct 201811.4% of 184 movements
Nov 201821.3% of 155 movements
Dec 201814.3% of 161 movements
Jan 201923.7% of 169 movements
Feb 201914.4% of 146 movements
Mar 201914.0% of 164 movements
Apr 20198.7% of 206 movements
May 20199.2% of 217 movements
Jun 201926.7% of 210 movements
Jul 201917.4% of 213 movements
Aug 201920.3% of 212 movements
Sep 201914.1% of 199 movements
Oct 201912.5% of 208 movements
Nov 201913.3% of 188 movements
Dec 201922.4% of 192 movements
Jan 202012.1% of 199 movements
Feb 202010.5% of 181 movements
Mar 202013.3% of 135 movements
Apr 2020no events in 30 movements — small sample, not ranked
May 2020no events in 31 movements — small sample, not ranked
Jun 2020no events in 30 movements — small sample, not ranked
Jul 2020no events in 31 movements — small sample, not ranked
Aug 2020no events in 31 movements — small sample, not ranked
Sep 20204.9% of 41 movements — small sample, not ranked
Oct 20202.4% of 42 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 202016.2% of 37 movements — small sample, not ranked
Jan 20219.8% of 41 movements — small sample, not ranked
Feb 20218.6% of 35 movements — small sample, not ranked
Mar 2021no events in 35 movements — small sample, not ranked
Apr 20215.9% of 34 movements — small sample, not ranked
May 20212.9% of 35 movements — small sample, not ranked
Jun 20213.0% of 66 movements
Jul 20215.5% of 73 movements
Aug 20217.4% of 81 movements
Sep 20214.7% of 106 movements
Oct 20214.5% of 111 movements
Nov 20215.3% of 113 movements
Dec 20218.1% of 123 movements
Jan 202210.1% of 119 movements
Feb 202221.3% of 94 movements
Mar 202219.4% of 129 movements
Apr 202217.6% of 193 movements
May 202223.4% of 218 movements
Jun 202238.5% of 205 movements
Jul 202222.4% of 201 movements
Aug 202213.8% of 181 movements
Sep 202219.4% of 206 movements
Oct 202216.9% of 242 movements
Nov 202210.7% of 206 movements
Dec 202242.6% of 223 movements
Jan 202322.9% of 223 movements
Feb 202328.0% of 225 movements
Mar 202331.2% of 247 movements
Apr 202328.1% of 235 movements
May 202335.4% of 237 movements
Jun 202342.1% of 242 movements
Jul 202332.0% of 244 movements
Aug 202331.3% of 249 movements
Sep 202327.0% of 241 movements
Oct 202319.8% of 243 movements
Nov 20237.2% of 194 movements
Dec 202314.9% of 202 movements
Jan 202425.6% of 176 movements
Feb 202415.8% of 152 movements
Mar 202410.3% of 203 movements
Apr 202421.7% of 240 movements
May 202421.3% of 249 movements
Jun 202419.9% of 241 movements
Jul 202417.2% of 250 movements
Aug 202421.1% of 242 movements
Sep 202418.2% of 236 movements
Oct 202413.5% of 245 movements
Nov 202411.5% of 200 movements
Dec 202424.0% of 217 movements
Jan 202519.0% of 210 movements
Feb 202518.4% of 174 movements
Mar 202518.6% of 215 movements
Apr 202514.5% of 235 movements
May 202516.1% of 248 movements
Jun 202512.6% of 239 movements
Jul 202516.5% of 249 movements
Aug 202517.3% of 249 movements
Sep 202513.3% of 240 movements
Oct 202516.5% of 231 movements
Nov 202514.0% of 214 movements
Dec 202522.4% of 223 movements
Jan 202618.6% of 215 movements
Feb 202624.1% of 191 movements
Mar 20266.8% of 220 movements
Apr 202612.4% of 225 movements
May 202618.3% of 230 movements
Jun 202617.8% of 242 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 events in 30 movements — small sample, not ranked13.5% across 1,998 flightsreturned the next month
Pandemic regime · Jun 2020Departures20.0% of 30 movements — small sample, not ranked19.9% across 1,996 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals22.4% of 201 movements13.8% across 1,565 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures37.7% of 199 movements28.3% across 1,570 flightsreturned the next month
NATS system failure · Aug 2023Arrivals31.3% of 249 movements26.9% across 2,711 flightsreturned after 2 months
NATS system failure · Aug 2023Departures30.2% of 248 movements28.3% across 2,704 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals18.6% of 215 movements18.0% across 2,707 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.5% of 216 movements26.1% across 2,713 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?

January has historically been the hardest month on this route: in a typical January, 22.9% of arrivals were disrupted, measured across 7 Januarys in the archive. November has been the calmest, at 12.4% across 6 Novembers.

Even January has ranged from 10.1% to 25.6% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201923.7% of 169 movements14.4% of 146 movements14.0% of 164 movements8.7% of 206 movements9.2% of 217 movements26.7% of 210 movements17.4% of 213 movements20.3% of 212 movements14.1% of 199 movements12.5% of 208 movements13.3% of 188 movements22.4% of 192 movements202012.1% of 199 movements10.5% of 181 movements13.3% of 135 movementsno events in 30 movements †no events in 31 movements †no events in 30 movements †no events in 31 movements †no events in 31 movements †4.9% of 41 movements †2.4% of 42 movements †suppressed: fewer than twenty movements16.2% of 37 movements †20219.8% of 41 movements †8.6% of 35 movements †no events in 35 movements †5.9% of 34 movements †2.9% of 35 movements †3.0% of 66 movements5.5% of 73 movements7.4% of 81 movements4.7% of 106 movements4.5% of 111 movements5.3% of 113 movements8.1% of 123 movements202210.1% of 119 movements21.3% of 94 movements19.4% of 129 movements17.6% of 193 movements23.4% of 218 movements38.5% of 205 movements22.4% of 201 movements13.8% of 181 movements19.4% of 206 movements16.9% of 242 movements10.7% of 206 movements42.6% of 223 movements202322.9% of 223 movements28.0% of 225 movements31.2% of 247 movements28.1% of 235 movements35.4% of 237 movements42.1% of 242 movements32.0% of 244 movements31.3% of 249 movements27.0% of 241 movements19.8% of 243 movements7.2% of 194 movements14.9% of 202 movements202425.6% of 176 movements15.8% of 152 movements10.3% of 203 movements21.7% of 240 movements21.3% of 249 movements19.9% of 241 movements17.2% of 250 movements21.1% of 242 movements18.2% of 236 movements13.5% of 245 movements11.5% of 200 movements24.0% of 217 movements202519.0% of 210 movements18.4% of 174 movements18.6% of 215 movements14.5% of 235 movements16.1% of 248 movements12.6% of 239 movements16.5% of 249 movements17.3% of 249 movements13.3% of 240 movements16.5% of 231 movements14.0% of 214 movements22.4% of 223 movements202618.6% of 215 movements24.1% of 191 movements6.8% of 220 movements12.4% of 225 movements18.3% of 230 movements17.8% of 242 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.9%10.1–25.6%7 months, 1,267 flights
Feb18.4%10.6–28.0%7 months, 1,123 flights
Mar18.6%6.8–39.3%7 months, 1,341 flights
Apr14.5%6.1–28.1%7 months, 1,513 flights
May18.3%9.2–35.4%7 months, 1,585 flights
Jun19.9%12.6–42.1%7 months, 1,559 flights
Jul19.9%16.5–32.0%6 months, 1,343 flights
Aug18.8%13.8–31.3%6 months, 1,319 flights
Sep16.1%10.0–27.0%6 months, 1,302 flights
Oct15.0%11.4–19.8%6 months, 1,353 flights
Nov12.4%7.2–21.3%6 months, 1,157 flights
Dec22.4%14.3–42.6%6 months, 1,218 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 12.7% of 557 movements, American Airlines 13.9% of 359 movements, British Airways 17.3% of 1,047 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 optionAmerican Airlines13.9% of 359 flightsBritish Airways17.3% of 1,047 flightsDelta Airlines18.6% of 366 flightsJetblue Airways18.9% of 366 flightsVirgin Atlantic Airways12.7% of 557 flightsVirgin Atlantic International †26.5% of 34 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
American Airlines35913.9% of 359 movements2.5% of 359 movements1.1% of 359 movementsdescriptive comparison
British Airways1,04717.3% of 1,047 movements2.7% of 1,047 movements0.4% of 1,047 movementsdescriptive comparison
Delta Airlines36618.6% of 366 movements0.8% of 366 movements0.5% of 366 movementsdescriptive comparison
Jetblue Airways36618.9% of 366 movements1.6% of 366 movements0.3% of 366 movementsdescriptive comparison
United Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Virgin Atlantic Airways55712.7% of 557 movements1.8% of 557 movements0.2% of 557 movementsdescriptive comparison
Virgin Atlantic International3426.5% of 34 movements — small sample, not rankedno events in 34 movements — small sample, not rankedno events in 34 movements — small sample, not rankedsmall sample; not ranked

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

Would another UK airport have been better?

Among UK airports flying to this city with enough flights to publish, LGW had the lowest disruption share at 19.7% of 157 movements and EDI the highest at 24.2% of 364 movements. This route sits at 16.4% of 2,729 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 ↔ Boston24.2% of 364 flightsLgw ↔ Boston19.7% of 157 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Bostonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Bostonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Bostonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Boston36424.2% of 364 movements0.5% of 364 movements1.1% of 364 movementsdescriptive comparison
Gla ↔ Bostonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Boston15719.7% of 157 movements0.6% of 157 movements0.6% of 157 movementsdescriptive comparison
Ltn ↔ Bostonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Bostonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Bostonsuppressed: 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 16.4% of 2,729 movements disrupted, departures 19.0% of 2,726 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 LHR16.4% of 2,729 movements2.1% of 2,729 movements0.4% of 2,729 movements
Departures from LHR19.0% of 2,726 movements1.8% of 2,726 movements0.6% of 2,726 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 2026140 flights out of 17,733140 × £520 = £72,800
ArrivalsLast 72 months · Jul 2020–Jun 2026111 flights out of 12,747111 × £520 = £57,720
DeparturesWhole archive · Jan 2018–Jun 2026123 flights out of 17,740123 × £520 = £63,960
DeparturesLast 72 months · Jul 2020–Jun 202686 flights out of 12,74986 × £520 = £44,720
Definitions, denominators and limits

Full formula: the count is the sum of the two tail buckets across months, carriers and service types in one direction; the ceiling is that count multiplied by the maximum statutory amount for the distance band. The condition is: if every such delay had been the carrier's fault and a claim had been filed on every one of them.

This is conditional arithmetic over operations: passenger numbers, legal applicability and the number of claims are all unknown. For departures it is an arithmetic scenario only, because arrival at the final point is not observed. For long routes the maximum ceiling is used; any reduction in the payable amount is not calculated.

The archive window is counted from the last month of data, not from today: this is not a limitation check for an individual case. The CAA states six years for England and Wales and five for Scotland. CAA: time limits and how to complain. Information, not a legal service.

The facts about this route

Route reference table: codes, distance, frequency, archive span
FieldValue
UK airportHEATHROW · LHR
Final point / countryBOSTON / USA
Final point codesBOS / KBOS
Great-circle distance5,240 km
Maximum statutory amount for the band£520
Average operated arrivals per day7.32
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: 2,729; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

16.4% of 2,729 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.1% of 2,729 movements in the same window.

How many delays crossed three hours?

0.4% of 2,729 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

rare but severe. The class compares the tail with short delays across routes in the corpus.

What distance is used?

5,240 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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