UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ CHICAGO O HARE

In the twelve months from July 2025 to June 2026, 32.4% of 2,924 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, 67.6% of 2,924 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 44 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, 32.4% of 2,924 movements were disrupted and 1.6% of 2,924 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
32.4% of 2,924 movements1.6% of 2,924 movements52.3–89.6 min; N of delayed flights=900–1,4872,924
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: 1.6% of 2,924 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 min30.8%30 min20.8%60 min11.5%120 min4.6%180 min2.3%360 min0.6%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min30.8% of 2,924 movements9003.2
>30 min20.8% of 2,924 movements6074.8
>60 min11.5% of 2,924 movements3378.7
>120 min4.6% of 2,924 movements13421.8
>180 min2.3% of 2,924 movements6644.3
>360 min0.6% of 2,924 movements19153.9
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 early65122.3%15–1 early74025.3%0–15 late58720.1%16–3029310.0%31–602709.2%61…1202036.9%121…180682.3%181…360471.6%>360190.6%D=2,924
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.1172; 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: Jul 2020, 6.5% of 93 movements. Worst month: Jun 2023, 55.0% of 240 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: 19.6%; sample: 2242018Feb 2018: 12.9%; sample: 210Mar 2018: 39.8%; sample: 251Apr 2018: 15.7%; sample: 267May 2018: 21.1%; sample: 279Jun 2018: 37.8%; sample: 270Jul 2018: 32.3%; sample: 279Aug 2018: 25.5%; sample: 278Sep 2018: 21.5%; sample: 270Oct 2018: 17.8%; sample: 275Nov 2018: 24.4%; sample: 221Dec 2018: 26.4%; sample: 231Jan 2019: 20.4%; sample: 2112019Feb 2019: 21.3%; sample: 183Mar 2019: 15.7%; sample: 249Apr 2019: 26.7%; sample: 262May 2019: 28.3%; sample: 279Jun 2019: 36.3%; sample: 270Jul 2019: 36.6%; sample: 279Aug 2019: 26.5%; sample: 279Sep 2019: 27.5%; sample: 265Oct 2019: 20.7%; sample: 275Nov 2019: 18.4%; sample: 223Dec 2019: 18.3%; sample: 229Jan 2020: 21.8%; sample: 2112020Feb 2020: 19.3%; sample: 218Mar 2020: 20.9%; sample: 177Apr 2020: 4.2%; sample: 24May 2020: 8.6%; sample: 58Jun 2020: 7.8%; sample: 90Jul 2020: 6.5%; sample: 93Aug 2020: 18.3%; sample: 93Sep 2020: 8.2%; sample: 98Oct 2020: 8.0%; sample: 112Nov 2020: 12.2%; sample: 82Dec 2020: 17.5%; sample: 57Jan 2021: 16.1%; sample: 872021Feb 2021: 28.1%; sample: 57Mar 2021: 25.8%; sample: 62Apr 2021: 18.3%; sample: 60May 2021: 15.8%; sample: 76Jun 2021: 16.7%; sample: 90Jul 2021: 30.1%; sample: 93Aug 2021: 30.0%; sample: 100Sep 2021: 22.5%; sample: 120Oct 2021: 33.1%; sample: 124Nov 2021: 28.6%; sample: 119Dec 2021: 24.6%; sample: 134Jan 2022: 22.8%; sample: 1272022Feb 2022: 20.9%; sample: 110Mar 2022: 15.1%; sample: 139Apr 2022: 19.4%; sample: 211May 2022: 27.6%; sample: 221Jun 2022: 35.0%; sample: 260Jul 2022: 22.8%; sample: 268Aug 2022: 25.1%; sample: 239Sep 2022: 28.1%; sample: 231Oct 2022: 20.4%; sample: 235Nov 2022: 30.2%; sample: 169Dec 2022: 53.4%; sample: 174Jan 2023: 28.7%; sample: 1642023Feb 2023: 21.9%; sample: 151Mar 2023: 34.7%; sample: 202Apr 2023: 27.8%; sample: 263May 2023: 31.7%; sample: 271Jun 2023: 55.0%; sample: 240Jul 2023: 43.5%; sample: 246Aug 2023: 36.7%; sample: 259Sep 2023: 31.4%; sample: 264Oct 2023: 32.2%; sample: 273Nov 2023: 24.0%; sample: 208Dec 2023: 27.2%; sample: 213Jan 2024: 34.0%; sample: 1972024Feb 2024: 22.0%; sample: 159Mar 2024: 25.9%; sample: 216Apr 2024: 28.8%; sample: 271May 2024: 44.8%; sample: 299Jun 2024: 42.6%; sample: 303Jul 2024: 46.6%; sample: 309Aug 2024: 36.1%; sample: 310Sep 2024: 42.6%; sample: 303Oct 2024: 31.3%; sample: 291Nov 2024: 28.2%; sample: 177Dec 2024: 31.7%; sample: 186Jan 2025: 30.4%; sample: 1842025Feb 2025: 22.8%; sample: 158Mar 2025: 25.8%; sample: 190Apr 2025: 25.2%; sample: 270May 2025: 42.7%; sample: 279Jun 2025: 39.0%; sample: 267Jul 2025: 36.7%; sample: 275Aug 2025: 40.5%; sample: 279Sep 2025: 23.2%; sample: 271Oct 2025: 38.9%; sample: 257Nov 2025: 37.4%; sample: 203Dec 2025: 42.1%; sample: 216Jan 2026: 35.2%; sample: 2102026Feb 2026: 20.7%; sample: 184Mar 2026: 17.5%; sample: 223Apr 2026: 26.1%; sample: 257May 2026: 25.4%; sample: 279Jun 2026: 41.9%; 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 201819.6% of 224 movements
Feb 201812.9% of 210 movements
Mar 201839.8% of 251 movements
Apr 201815.7% of 267 movements
May 201821.1% of 279 movements
Jun 201837.8% of 270 movements
Jul 201832.3% of 279 movements
Aug 201825.5% of 278 movements
Sep 201821.5% of 270 movements
Oct 201817.8% of 275 movements
Nov 201824.4% of 221 movements
Dec 201826.4% of 231 movements
Jan 201920.4% of 211 movements
Feb 201921.3% of 183 movements
Mar 201915.7% of 249 movements
Apr 201926.7% of 262 movements
May 201928.3% of 279 movements
Jun 201936.3% of 270 movements
Jul 201936.6% of 279 movements
Aug 201926.5% of 279 movements
Sep 201927.5% of 265 movements
Oct 201920.7% of 275 movements
Nov 201918.4% of 223 movements
Dec 201918.3% of 229 movements
Jan 202021.8% of 211 movements
Feb 202019.3% of 218 movements
Mar 202020.9% of 177 movements
Apr 20204.2% of 24 movements — small sample, not ranked
May 20208.6% of 58 movements
Jun 20207.8% of 90 movements
Jul 20206.5% of 93 movements
Aug 202018.3% of 93 movements
Sep 20208.2% of 98 movements
Oct 20208.0% of 112 movements
Nov 202012.2% of 82 movements
Dec 202017.5% of 57 movements
Jan 202116.1% of 87 movements
Feb 202128.1% of 57 movements
Mar 202125.8% of 62 movements
Apr 202118.3% of 60 movements
May 202115.8% of 76 movements
Jun 202116.7% of 90 movements
Jul 202130.1% of 93 movements
Aug 202130.0% of 100 movements
Sep 202122.5% of 120 movements
Oct 202133.1% of 124 movements
Nov 202128.6% of 119 movements
Dec 202124.6% of 134 movements
Jan 202222.8% of 127 movements
Feb 202220.9% of 110 movements
Mar 202215.1% of 139 movements
Apr 202219.4% of 211 movements
May 202227.6% of 221 movements
Jun 202235.0% of 260 movements
Jul 202222.8% of 268 movements
Aug 202225.1% of 239 movements
Sep 202228.1% of 231 movements
Oct 202220.4% of 235 movements
Nov 202230.2% of 169 movements
Dec 202253.4% of 174 movements
Jan 202328.7% of 164 movements
Feb 202321.9% of 151 movements
Mar 202334.7% of 202 movements
Apr 202327.8% of 263 movements
May 202331.7% of 271 movements
Jun 202355.0% of 240 movements
Jul 202343.5% of 246 movements
Aug 202336.7% of 259 movements
Sep 202331.4% of 264 movements
Oct 202332.2% of 273 movements
Nov 202324.0% of 208 movements
Dec 202327.2% of 213 movements
Jan 202434.0% of 197 movements
Feb 202422.0% of 159 movements
Mar 202425.9% of 216 movements
Apr 202428.8% of 271 movements
May 202444.8% of 299 movements
Jun 202442.6% of 303 movements
Jul 202446.6% of 309 movements
Aug 202436.1% of 310 movements
Sep 202442.6% of 303 movements
Oct 202431.3% of 291 movements
Nov 202428.2% of 177 movements
Dec 202431.7% of 186 movements
Jan 202530.4% of 184 movements
Feb 202522.8% of 158 movements
Mar 202525.8% of 190 movements
Apr 202525.2% of 270 movements
May 202542.7% of 279 movements
Jun 202539.0% of 267 movements
Jul 202536.7% of 275 movements
Aug 202540.5% of 279 movements
Sep 202523.2% of 271 movements
Oct 202538.9% of 257 movements
Nov 202537.4% of 203 movements
Dec 202542.1% of 216 movements
Jan 202635.2% of 210 movements
Feb 202620.7% of 184 movements
Mar 202617.5% of 223 movements
Apr 202626.1% of 257 movements
May 202625.4% of 279 movements
Jun 202641.9% 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 2020Arrivals7.8% of 90 movements21.6% across 2,508 flightsreturned the next month
Pandemic regime · Jun 2020Departures12.2% of 90 movements18.8% across 2,509 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals22.8% of 268 movements25.8% across 1,758 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures41.7% of 271 movements28.6% across 1,755 flightsreturned after 3 months
NATS system failure · Aug 2023Arrivals36.7% of 259 movements33.4% across 2,585 flightsreturned the next month
NATS system failure · Aug 2023Departures31.3% of 249 movements31.7% across 2,592 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals25.8% of 190 movements34.3% across 3,007 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures26.7% of 195 movements25.0% across 3,008 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?

June has historically been the hardest month on this route: in a typical June, 39.0% of arrivals were disrupted, measured across 7 Junes in the archive. February has been the calmest, at 21.3% across 7 Februarys.

Even June has ranged from 35.0% to 55.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201920.4% of 211 movements21.3% of 183 movements15.7% of 249 movements26.7% of 262 movements28.3% of 279 movements36.3% of 270 movements36.6% of 279 movements26.5% of 279 movements27.5% of 265 movements20.7% of 275 movements18.4% of 223 movements18.3% of 229 movements202021.8% of 211 movements19.3% of 218 movements20.9% of 177 movements4.2% of 24 movements †8.6% of 58 movements7.8% of 90 movements6.5% of 93 movements18.3% of 93 movements8.2% of 98 movements8.0% of 112 movements12.2% of 82 movements17.5% of 57 movements202116.1% of 87 movements28.1% of 57 movements25.8% of 62 movements18.3% of 60 movements15.8% of 76 movements16.7% of 90 movements30.1% of 93 movements30.0% of 100 movements22.5% of 120 movements33.1% of 124 movements28.6% of 119 movements24.6% of 134 movements202222.8% of 127 movements20.9% of 110 movements15.1% of 139 movements19.4% of 211 movements27.6% of 221 movements35.0% of 260 movements22.8% of 268 movements25.1% of 239 movements28.1% of 231 movements20.4% of 235 movements30.2% of 169 movements53.4% of 174 movements202328.7% of 164 movements21.9% of 151 movements34.7% of 202 movements27.8% of 263 movements31.7% of 271 movements55.0% of 240 movements43.5% of 246 movements36.7% of 259 movements31.4% of 264 movements32.2% of 273 movements24.0% of 208 movements27.2% of 213 movements202434.0% of 197 movements22.0% of 159 movements25.9% of 216 movements28.8% of 271 movements44.8% of 299 movements42.6% of 303 movements46.6% of 309 movements36.1% of 310 movements42.6% of 303 movements31.3% of 291 movements28.2% of 177 movements31.7% of 186 movements202530.4% of 184 movements22.8% of 158 movements25.8% of 190 movements25.2% of 270 movements42.7% of 279 movements39.0% of 267 movements36.7% of 275 movements40.5% of 279 movements23.2% of 271 movements38.9% of 257 movements37.4% of 203 movements42.1% of 216 movements202635.2% of 210 movements20.7% of 184 movements17.5% of 223 movements26.1% of 257 movements25.4% of 279 movements41.9% of 270 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan28.7%19.6–35.2%7 months, 1,317 flights
Feb21.3%12.9–22.8%7 months, 1,155 flights
Mar25.8%15.1–39.8%7 months, 1,470 flights
Apr26.1%15.7–28.8%7 months, 1,801 flights
May28.3%21.1–44.8%7 months, 1,907 flights
Jun39.0%35.0–55.0%7 months, 1,880 flights
Jul36.6%22.8–46.6%6 months, 1,656 flights
Aug31.3%25.1–40.5%6 months, 1,644 flights
Sep27.8%21.5–42.6%6 months, 1,604 flights
Oct26.0%17.8–38.9%6 months, 1,606 flights
Nov26.3%18.4–37.4%6 months, 1,201 flights
Dec29.5%18.3–53.4%6 months, 1,249 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 30.8% of 893 movements, United Airlines 32.7% of 1,096 movements, American Airlines 33.5% of 935 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 optionAmerican Airlines33.5% of 935 flightsBritish Airways30.8% of 893 flightsUnited Airlines32.7% of 1,096 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
American Airlines93533.5% of 935 movements1.2% of 935 movements2.4% of 935 movementsdescriptive comparison
British Airways89330.8% of 893 movements1.8% of 893 movements0.9% of 893 movementsdescriptive comparison
Delta Airlinessuppressed: 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
Swiss Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
United Airlines1,09632.7% of 1,096 movements1.7% of 1,096 movements3.3% of 1,096 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, EDI had the lowest disruption share at 38.2% of 178 movements and EDI the highest at 38.2% of 178 movements. This route sits at 32.4% of 2,924 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 ↔ Chicago-O-Hare38.2% of 178 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Chicago-O-Haresuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Chicago-O-Hare17838.2% of 178 movements1.1% of 178 movements2.2% of 178 movementsdescriptive comparison
Gla ↔ Chicago-O-Haresuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Chicago-O-Haresuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Chicago-O-Haresuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Chicago-O-Haresuppressed: 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 32.4% of 2,924 movements disrupted, departures 23.1% of 2,940 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 LHR32.4% of 2,924 movements1.6% of 2,924 movements2.3% of 2,924 movements
Departures from LHR23.1% of 2,940 movements1.9% of 2,940 movements0.9% of 2,940 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 2026450 flights out of 20,925450 × £520 = £234,000
ArrivalsLast 72 months · Jul 2020–Jun 2026330 flights out of 14,088330 × £520 = £171,600
DeparturesWhole archive · Jan 2018–Jun 2026260 flights out of 20,949260 × £520 = £135,200
DeparturesLast 72 months · Jul 2020–Jun 2026191 flights out of 14,105191 × £520 = £99,320
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 / countryCHICAGO (O'HARE) / USA
Final point codesORD / KORD
Great-circle distance6,344 km
Maximum statutory amount for the band£520
Average operated arrivals per day7.88
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: 2,924; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

32.4% of 2,924 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.6% of 2,924 movements in the same window.

How many delays crossed three hours?

2.3% of 2,924 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?

6,344 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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