UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ NEW YORK NEWARK

In the twelve months from July 2025 to June 2026, 25.7% of 3,274 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, 74.3% of 3,274 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 39 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, 25.7% of 3,274 movements were disrupted and 3.3% of 3,274 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
25.7% of 3,274 movements3.3% of 3,274 movements53.3–97.3 min; N of delayed flights=734–1,2813,274
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: 3.3% of 3,274 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 min22.4%30 min14.8%60 min9.0%120 min4.1%180 min2.5%360 min0.9%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.4% of 3,274 movements7344.5
>30 min14.8% of 3,274 movements4866.7
>60 min9.0% of 3,274 movements29611.1
>120 min4.1% of 3,274 movements13424.4
>180 min2.5% of 3,274 movements8339.4
>360 min0.9% of 3,274 movements30109.1
Definitions, denominators and limits

CAA counts delays strictly greater than each threshold, so exactly three hours is inseparable from the previous bucket. The ladder describes the archive, not a forecast.

Slightly late, or occasionally a disaster?

This route runs late less often than most, but when it does go wrong it tends to go badly wrong: its long delays are heavier than on the typical UK route.

The histogram below counts every recorded arrival, from more than fifteen minutes early through to more than six hours late. A tall bar near the middle and a thin right-hand tail is the healthy shape.

Nine delay buckets, minutes; share of all recorded operations>15 early92528.3%15–1 early96129.4%0–15 late54716.7%16–302487.6%31–601905.8%61…1201624.9%121…180511.6%181…360531.6%>360300.9%D=3,274
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.1895; 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 2018, 12.7% of 251 movements. Worst month: Jun 2023, 62.8% of 253 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: 23.5%; sample: 2342018Feb 2018: 22.1%; sample: 226Mar 2018: 42.9%; sample: 261Apr 2018: 21.4%; sample: 248May 2018: 26.3%; sample: 262Jun 2018: 29.8%; sample: 252Jul 2018: 31.2%; sample: 263Aug 2018: 33.2%; sample: 259Sep 2018: 12.7%; sample: 251Oct 2018: 14.5%; sample: 262Nov 2018: 23.4%; sample: 239Dec 2018: 18.9%; sample: 238Jan 2019: 18.4%; sample: 2282019Feb 2019: 16.3%; sample: 208Mar 2019: 22.9%; sample: 245Apr 2019: 18.0%; sample: 233May 2019: 35.1%; sample: 248Jun 2019: 46.1%; sample: 241Jul 2019: 34.1%; sample: 246Aug 2019: 40.0%; sample: 245Sep 2019: 20.9%; sample: 234Oct 2019: 23.4%; sample: 239Nov 2019: 20.3%; sample: 222Dec 2019: 34.6%; sample: 228Jan 2020: 16.8%; sample: 2262020Feb 2020: 20.3%; sample: 217Mar 2020: 16.2%; sample: 173Apr 2020: 3.3%; sample: 30May 2020: 6.5%; sample: 31Jun 2020: 0.0%; sample: 30Jul 2020: 9.7%; sample: 31Aug 2020: 6.5%; sample: 31Sep 2020: 6.7%; sample: 30Oct 2020: 10.8%; sample: 37Nov 2020: 10.5%; sample: 38Dec 2020: 20.0%; sample: 30Jan 2021: 19.4%; sample: 312021Feb 2021: 32.1%; sample: 28Mar 2021: 16.1%; sample: 31Apr 2021: 16.7%; sample: 30May 2021: 19.4%; sample: 31Jun 2021: 30.0%; sample: 30Jul 2021: 51.6%; sample: 31Aug 2021: 67.7%; sample: 31Sep 2021: 43.3%; sample: 30Oct 2021: 42.1%; sample: 57Nov 2021: 40.4%; sample: 94Dec 2021: 45.6%; sample: 147Jan 2022: 42.6%; sample: 1152022Feb 2022: 19.0%; sample: 63Mar 2022: 33.3%; sample: 144Apr 2022: 34.5%; sample: 194May 2022: 54.9%; sample: 244Jun 2022: 53.6%; sample: 280Jul 2022: 33.7%; sample: 264Aug 2022: 29.0%; sample: 231Sep 2022: 34.9%; sample: 232Oct 2022: 25.9%; sample: 263Nov 2022: 20.7%; sample: 256Dec 2022: 60.4%; sample: 260Jan 2023: 23.7%; sample: 2532023Feb 2023: 30.9%; sample: 236Mar 2023: 37.5%; sample: 304Apr 2023: 45.9%; sample: 292May 2023: 48.2%; sample: 301Jun 2023: 62.8%; sample: 253Jul 2023: 51.8%; sample: 278Aug 2023: 32.7%; sample: 266Sep 2023: 27.6%; sample: 272Oct 2023: 19.1%; sample: 293Nov 2023: 24.3%; sample: 267Dec 2023: 27.4%; sample: 259Jan 2024: 25.1%; sample: 2352024Feb 2024: 18.5%; sample: 216Mar 2024: 34.5%; sample: 267Apr 2024: 33.6%; sample: 241May 2024: 27.7%; sample: 249Jun 2024: 32.9%; sample: 240Jul 2024: 33.2%; sample: 250Aug 2024: 43.0%; sample: 249Sep 2024: 34.5%; sample: 238Oct 2024: 15.7%; sample: 255Nov 2024: 28.6%; sample: 266Dec 2024: 27.6%; sample: 272Jan 2025: 25.3%; sample: 2772025Feb 2025: 18.3%; sample: 241Mar 2025: 28.3%; sample: 276Apr 2025: 23.0%; sample: 270May 2025: 25.2%; sample: 282Jun 2025: 22.1%; sample: 271Jul 2025: 35.7%; sample: 280Aug 2025: 25.0%; sample: 280Sep 2025: 23.5%; sample: 272Oct 2025: 37.7%; sample: 281Nov 2025: 33.1%; sample: 269Dec 2025: 27.0%; sample: 278Jan 2026: 29.9%; sample: 2842026Feb 2026: 27.7%; sample: 231Mar 2026: 17.0%; sample: 276Apr 2026: 14.6%; sample: 274May 2026: 18.3%; sample: 279Jun 2026: 18.5%; sample: 270Pandemic 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 201823.5% of 234 movements
Feb 201822.1% of 226 movements
Mar 201842.9% of 261 movements
Apr 201821.4% of 248 movements
May 201826.3% of 262 movements
Jun 201829.8% of 252 movements
Jul 201831.2% of 263 movements
Aug 201833.2% of 259 movements
Sep 201812.7% of 251 movements
Oct 201814.5% of 262 movements
Nov 201823.4% of 239 movements
Dec 201818.9% of 238 movements
Jan 201918.4% of 228 movements
Feb 201916.3% of 208 movements
Mar 201922.9% of 245 movements
Apr 201918.0% of 233 movements
May 201935.1% of 248 movements
Jun 201946.1% of 241 movements
Jul 201934.1% of 246 movements
Aug 201940.0% of 245 movements
Sep 201920.9% of 234 movements
Oct 201923.4% of 239 movements
Nov 201920.3% of 222 movements
Dec 201934.6% of 228 movements
Jan 202016.8% of 226 movements
Feb 202020.3% of 217 movements
Mar 202016.2% of 173 movements
Apr 20203.3% of 30 movements — small sample, not ranked
May 20206.5% of 31 movements — small sample, not ranked
Jun 2020no events in 30 movements — small sample, not ranked
Jul 20209.7% of 31 movements — small sample, not ranked
Aug 20206.5% of 31 movements — small sample, not ranked
Sep 20206.7% of 30 movements — small sample, not ranked
Oct 202010.8% of 37 movements — small sample, not ranked
Nov 202010.5% of 38 movements — small sample, not ranked
Dec 202020.0% of 30 movements — small sample, not ranked
Jan 202119.4% of 31 movements — small sample, not ranked
Feb 202132.1% of 28 movements — small sample, not ranked
Mar 202116.1% of 31 movements — small sample, not ranked
Apr 202116.7% of 30 movements — small sample, not ranked
May 202119.4% of 31 movements — small sample, not ranked
Jun 202130.0% of 30 movements — small sample, not ranked
Jul 202151.6% of 31 movements — small sample, not ranked
Aug 202167.7% of 31 movements — small sample, not ranked
Sep 202143.3% of 30 movements — small sample, not ranked
Oct 202142.1% of 57 movements
Nov 202140.4% of 94 movements
Dec 202145.6% of 147 movements
Jan 202242.6% of 115 movements
Feb 202219.0% of 63 movements
Mar 202233.3% of 144 movements
Apr 202234.5% of 194 movements
May 202254.9% of 244 movements
Jun 202253.6% of 280 movements
Jul 202233.7% of 264 movements
Aug 202229.0% of 231 movements
Sep 202234.9% of 232 movements
Oct 202225.9% of 263 movements
Nov 202220.7% of 256 movements
Dec 202260.4% of 260 movements
Jan 202323.7% of 253 movements
Feb 202330.9% of 236 movements
Mar 202337.5% of 304 movements
Apr 202345.9% of 292 movements
May 202348.2% of 301 movements
Jun 202362.8% of 253 movements
Jul 202351.8% of 278 movements
Aug 202332.7% of 266 movements
Sep 202327.6% of 272 movements
Oct 202319.1% of 293 movements
Nov 202324.3% of 267 movements
Dec 202327.4% of 259 movements
Jan 202425.1% of 235 movements
Feb 202418.5% of 216 movements
Mar 202434.5% of 267 movements
Apr 202433.6% of 241 movements
May 202427.7% of 249 movements
Jun 202432.9% of 240 movements
Jul 202433.2% of 250 movements
Aug 202443.0% of 249 movements
Sep 202434.5% of 238 movements
Oct 202415.7% of 255 movements
Nov 202428.6% of 266 movements
Dec 202427.6% of 272 movements
Jan 202525.3% of 277 movements
Feb 202518.3% of 241 movements
Mar 202528.3% of 276 movements
Apr 202523.0% of 270 movements
May 202525.2% of 282 movements
Jun 202522.1% of 271 movements
Jul 202535.7% of 280 movements
Aug 202525.0% of 280 movements
Sep 202523.5% of 272 movements
Oct 202537.7% of 281 movements
Nov 202533.1% of 269 movements
Dec 202527.0% of 278 movements
Jan 202629.9% of 284 movements
Feb 202627.7% of 231 movements
Mar 202617.0% of 276 movements
Apr 202614.6% of 274 movements
May 202618.3% of 279 movements
Jun 202618.5% of 270 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 ranked23.5% across 2,332 flightsreturned the next month
Pandemic regime · Jun 2020Departures6.7% of 30 movements — small sample, not ranked14.5% across 2,335 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals33.7% of 264 movements44.1% across 1,430 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures38.1% of 265 movements19.0% across 1,432 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals32.7% of 266 movements39.3% across 3,159 flightsreturned the next month
NATS system failure · Aug 2023Departures27.8% of 266 movements27.3% across 3,166 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals28.3% of 276 movements29.6% across 3,045 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures22.9% of 275 movements19.9% across 3,042 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?

July has historically been the hardest month on this route: in a typical July, 33.9% of arrivals were disrupted, measured across 6 Julys in the archive. February has been the calmest, at 19.0% across 7 Februarys.

Even July has ranged from 31.2% to 51.8% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201918.4% of 228 movements16.3% of 208 movements22.9% of 245 movements18.0% of 233 movements35.1% of 248 movements46.1% of 241 movements34.1% of 246 movements40.0% of 245 movements20.9% of 234 movements23.4% of 239 movements20.3% of 222 movements34.6% of 228 movements202016.8% of 226 movements20.3% of 217 movements16.2% of 173 movements3.3% of 30 movements †6.5% of 31 movements †no events in 30 movements †9.7% of 31 movements †6.5% of 31 movements †6.7% of 30 movements †10.8% of 37 movements †10.5% of 38 movements †20.0% of 30 movements †202119.4% of 31 movements †32.1% of 28 movements †16.1% of 31 movements †16.7% of 30 movements †19.4% of 31 movements †30.0% of 30 movements †51.6% of 31 movements †67.7% of 31 movements †43.3% of 30 movements †42.1% of 57 movements40.4% of 94 movements45.6% of 147 movements202242.6% of 115 movements19.0% of 63 movements33.3% of 144 movements34.5% of 194 movements54.9% of 244 movements53.6% of 280 movements33.7% of 264 movements29.0% of 231 movements34.9% of 232 movements25.9% of 263 movements20.7% of 256 movements60.4% of 260 movements202323.7% of 253 movements30.9% of 236 movements37.5% of 304 movements45.9% of 292 movements48.2% of 301 movements62.8% of 253 movements51.8% of 278 movements32.7% of 266 movements27.6% of 272 movements19.1% of 293 movements24.3% of 267 movements27.4% of 259 movements202425.1% of 235 movements18.5% of 216 movements34.5% of 267 movements33.6% of 241 movements27.7% of 249 movements32.9% of 240 movements33.2% of 250 movements43.0% of 249 movements34.5% of 238 movements15.7% of 255 movements28.6% of 266 movements27.6% of 272 movements202525.3% of 277 movements18.3% of 241 movements28.3% of 276 movements23.0% of 270 movements25.2% of 282 movements22.1% of 271 movements35.7% of 280 movements25.0% of 280 movements23.5% of 272 movements37.7% of 281 movements33.1% of 269 movements27.0% of 278 movements202629.9% of 284 movements27.7% of 231 movements17.0% of 276 movements14.6% of 274 movements18.3% of 279 movements18.5% of 270 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.1%18.4–42.6%7 months, 1,626 flights
Feb19.0%16.3–30.9%7 months, 1,421 flights
Mar33.3%17.0–42.9%7 months, 1,773 flights
Apr23.0%14.6–45.9%7 months, 1,752 flights
May27.7%18.3–54.9%7 months, 1,865 flights
Jun32.9%18.5–62.8%7 months, 1,807 flights
Jul33.9%31.2–51.8%6 months, 1,581 flights
Aug33.0%25.0–43.0%6 months, 1,530 flights
Sep25.6%12.7–34.9%6 months, 1,499 flights
Oct21.3%14.5–37.7%6 months, 1,593 flights
Nov23.9%20.3–33.1%6 months, 1,519 flights
Dec27.5%18.9–60.4%6 months, 1,535 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 24.1% of 717 movements, United Airlines 26.1% of 2,557 movements. The gap between them sits inside sampling noise.

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 Airways24.1% of 717 flightsUnited Airlines26.1% of 2,557 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Indiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways71724.1% of 717 movements3.5% of 717 movements1.0% of 717 movementsdescriptive comparison
El Alsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lufthansasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
United Airlines2,55726.1% of 2,557 movements3.2% of 2,557 movements3.0% of 2,557 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, GLA had the lowest disruption share at 9.4% of 53 movements and EDI the highest at 33.0% of 452 movements. This route sits at 25.7% of 3,274 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 ↔ New-York-Newark33.0% of 452 flightsGla ↔ New-York-Newark9.4% of 53 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ New-York-Newarksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ New-York-Newarksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ New-York-Newarksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ New-York-Newark45233.0% of 452 movements1.3% of 452 movements2.0% of 452 movementsdescriptive comparison
Ema ↔ New-York-Newarksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ New-York-Newark539.4% of 53 movementsno events in 53 movementsno events in 53 movementsdescriptive comparison
Lba ↔ New-York-Newarksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ New-York-Newarksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ New-York-Newarksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ New-York-Newarksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ New-York-Newarksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ New-York-Newarksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ New-York-Newarksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 25.7% of 3,274 movements disrupted, departures 22.3% of 3,250 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 LHR25.7% of 3,274 movements3.3% of 3,274 movements2.5% of 3,274 movements
Departures from LHR22.3% of 3,250 movements2.8% of 3,250 movements2.3% of 3,250 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 2026454 flights out of 20,976454 × £520 = £236,080
ArrivalsLast 72 months · Jul 2020–Jun 2026325 flights out of 14,457325 × £520 = £169,000
DeparturesWhole archive · Jan 2018–Jun 2026264 flights out of 20,947264 × £520 = £137,280
DeparturesLast 72 months · Jul 2020–Jun 2026206 flights out of 14,433206 × £520 = £107,120
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 / countryNEW YORK (NEWARK) / USA
Final point codesEWR / KEWR
Great-circle distance5,562 km
Maximum statutory amount for the band£520
Average operated arrivals per day8.68
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: 3,274; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

25.7% of 3,274 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

3.3% of 3,274 movements in the same window.

How many delays crossed three hours?

2.5% of 3,274 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?

5,562 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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