UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ OSLO GARDERMOEN

In the twelve months from July 2025 to June 2026, 16.5% of 2,646 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, 83.5% of 2,646 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 378 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, 16.5% of 2,646 movements were disrupted and 1.9% of 2,646 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
16.5% of 2,646 movements1.9% of 2,646 movements18.6–56.1 min; N of delayed flights=388–1,0322,646
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: 1.9% of 2,646 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 min14.7%30 min6.7%60 min2.5%120 min0.5%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min14.7% of 2,646 movements3886.8
>30 min6.7% of 2,646 movements17615.0
>60 min2.5% of 2,646 movements6640.1
>120 min0.5% of 2,646 movements14189.0
>180 min0.3% of 2,646 movements7378.0
>360 minno events in 2,646 movements0no observed events, which is not zero risk
Definitions, denominators and limits

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

Slightly late, or occasionally a disaster?

This route sits on the middle of the pack: its mix of short and long delays is close to 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 early53020.0%15–1 early1,03539.1%0–15 late64424.3%16–302128.0%31–601104.2%61…120522.0%121…18070.3%181…36070.3%>36000.0%D=2,646
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0217; 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, 1.8% of 57 movements. Worst month: Dec 2023, 50.9% of 216 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: 43.0%; sample: 2282018Feb 2018: 16.5%; sample: 230Mar 2018: 22.7%; sample: 256Apr 2018: 25.0%; sample: 240May 2018: 12.4%; sample: 251Jun 2018: 22.5%; sample: 244Jul 2018: 17.2%; sample: 232Aug 2018: 14.9%; sample: 248Sep 2018: 23.8%; sample: 240Oct 2018: 27.0%; sample: 259Nov 2018: 22.9%; sample: 240Dec 2018: 40.1%; sample: 227Jan 2019: 16.3%; sample: 2152019Feb 2019: 30.7%; sample: 215Mar 2019: 33.5%; sample: 248Apr 2019: 14.9%; sample: 241May 2019: 11.3%; sample: 247Jun 2019: 29.5%; sample: 244Jul 2019: 21.1%; sample: 227Aug 2019: 22.6%; sample: 234Sep 2019: 22.8%; sample: 237Oct 2019: 27.5%; sample: 251Nov 2019: 35.7%; sample: 227Dec 2019: 37.0%; sample: 216Jan 2020: 20.9%; sample: 2302020Feb 2020: 41.1%; sample: 224Mar 2020: 19.9%; sample: 151Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 3.1%; sample: 32Aug 2020: 8.2%; sample: 49Sep 2020: 1.8%; sample: 57Oct 2020: 2.0%; sample: 51Nov 2020: 4.8%; sample: 21Dec 2020: 25.8%; sample: 31Jan 2021: 16.7%; sample: 242021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: 9.5%; sample: 21Jun 2021: 3.6%; sample: 28Jul 2021: 20.0%; sample: 30Aug 2021: 10.0%; sample: 30Sep 2021: 2.1%; sample: 48Oct 2021: 17.1%; sample: 82Nov 2021: 8.7%; sample: 126Dec 2021: 20.2%; sample: 114Jan 2022: 9.2%; sample: 762022Feb 2022: 28.1%; sample: 89Mar 2022: 10.9%; sample: 174Apr 2022: 25.2%; sample: 218May 2022: 30.3%; sample: 218Jun 2022: 40.6%; sample: 202Jul 2022: 22.2%; sample: 180Aug 2022: 12.1%; sample: 149Sep 2022: 21.3%; sample: 141Oct 2022: 17.2%; sample: 169Nov 2022: 16.5%; sample: 206Dec 2022: 44.0%; sample: 200Jan 2023: 25.6%; sample: 2072023Feb 2023: 15.2%; sample: 198Mar 2023: 21.4%; sample: 224Apr 2023: 17.4%; sample: 230May 2023: 15.4%; sample: 240Jun 2023: 29.5%; sample: 217Jul 2023: 27.8%; sample: 227Aug 2023: 31.2%; sample: 218Sep 2023: 35.3%; sample: 215Oct 2023: 34.0%; sample: 253Nov 2023: 22.9%; sample: 223Dec 2023: 50.9%; sample: 216Jan 2024: 27.4%; sample: 2082024Feb 2024: 30.6%; sample: 235Mar 2024: 19.6%; sample: 255Apr 2024: 28.0%; sample: 218May 2024: 20.6%; sample: 223Jun 2024: 22.7%; sample: 216Jul 2024: 23.3%; sample: 227Aug 2024: 25.2%; sample: 222Sep 2024: 29.0%; sample: 217Oct 2024: 25.6%; sample: 227Nov 2024: 14.6%; sample: 219Dec 2024: 31.9%; sample: 226Jan 2025: 33.2%; sample: 2172025Feb 2025: 7.7%; sample: 208Mar 2025: 11.2%; sample: 233Apr 2025: 14.2%; sample: 212May 2025: 5.2%; sample: 213Jun 2025: 11.8%; sample: 212Jul 2025: 17.8%; sample: 225Aug 2025: 7.8%; sample: 218Sep 2025: 24.6%; sample: 211Oct 2025: 17.9%; sample: 223Nov 2025: 7.8%; sample: 230Dec 2025: 18.4%; sample: 234Jan 2026: 24.8%; sample: 2182026Feb 2026: 19.5%; sample: 210Mar 2026: 8.8%; sample: 239Apr 2026: 13.5%; sample: 207May 2026: 13.1%; sample: 214Jun 2026: 25.3%; sample: 217Pandemic 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 201843.0% of 228 movements
Feb 201816.5% of 230 movements
Mar 201822.7% of 256 movements
Apr 201825.0% of 240 movements
May 201812.4% of 251 movements
Jun 201822.5% of 244 movements
Jul 201817.2% of 232 movements
Aug 201814.9% of 248 movements
Sep 201823.8% of 240 movements
Oct 201827.0% of 259 movements
Nov 201822.9% of 240 movements
Dec 201840.1% of 227 movements
Jan 201916.3% of 215 movements
Feb 201930.7% of 215 movements
Mar 201933.5% of 248 movements
Apr 201914.9% of 241 movements
May 201911.3% of 247 movements
Jun 201929.5% of 244 movements
Jul 201921.1% of 227 movements
Aug 201922.6% of 234 movements
Sep 201922.8% of 237 movements
Oct 201927.5% of 251 movements
Nov 201935.7% of 227 movements
Dec 201937.0% of 216 movements
Jan 202020.9% of 230 movements
Feb 202041.1% of 224 movements
Mar 202019.9% of 151 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20203.1% of 32 movements — small sample, not ranked
Aug 20208.2% of 49 movements — small sample, not ranked
Sep 20201.8% of 57 movements
Oct 20202.0% of 51 movements
Nov 20204.8% of 21 movements — small sample, not ranked
Dec 202025.8% of 31 movements — small sample, not ranked
Jan 202116.7% of 24 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 20219.5% of 21 movements — small sample, not ranked
Jun 20213.6% of 28 movements — small sample, not ranked
Jul 202120.0% of 30 movements — small sample, not ranked
Aug 202110.0% of 30 movements — small sample, not ranked
Sep 20212.1% of 48 movements — small sample, not ranked
Oct 202117.1% of 82 movements
Nov 20218.7% of 126 movements
Dec 202120.2% of 114 movements
Jan 20229.2% of 76 movements
Feb 202228.1% of 89 movements
Mar 202210.9% of 174 movements
Apr 202225.2% of 218 movements
May 202230.3% of 218 movements
Jun 202240.6% of 202 movements
Jul 202222.2% of 180 movements
Aug 202212.1% of 149 movements
Sep 202221.3% of 141 movements
Oct 202217.2% of 169 movements
Nov 202216.5% of 206 movements
Dec 202244.0% of 200 movements
Jan 202325.6% of 207 movements
Feb 202315.2% of 198 movements
Mar 202321.4% of 224 movements
Apr 202317.4% of 230 movements
May 202315.4% of 240 movements
Jun 202329.5% of 217 movements
Jul 202327.8% of 227 movements
Aug 202331.2% of 218 movements
Sep 202335.3% of 215 movements
Oct 202334.0% of 253 movements
Nov 202322.9% of 223 movements
Dec 202350.9% of 216 movements
Jan 202427.4% of 208 movements
Feb 202430.6% of 235 movements
Mar 202419.6% of 255 movements
Apr 202428.0% of 218 movements
May 202420.6% of 223 movements
Jun 202422.7% of 216 movements
Jul 202423.3% of 227 movements
Aug 202425.2% of 222 movements
Sep 202429.0% of 217 movements
Oct 202425.6% of 227 movements
Nov 202414.6% of 219 movements
Dec 202431.9% of 226 movements
Jan 202533.2% of 217 movements
Feb 20257.7% of 208 movements
Mar 202511.2% of 233 movements
Apr 202514.2% of 212 movements
May 20255.2% of 213 movements
Jun 202511.8% of 212 movements
Jul 202517.8% of 225 movements
Aug 20257.8% of 218 movements
Sep 202524.6% of 211 movements
Oct 202517.9% of 223 movements
Nov 20257.8% of 230 movements
Dec 202518.4% of 234 movements
Jan 202624.8% of 218 movements
Feb 202619.5% of 210 movements
Mar 20268.8% of 239 movements
Apr 202613.5% of 207 movements
May 202613.1% of 214 movements
Jun 202625.3% of 217 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 2020Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals22.2% of 180 movements18.5% across 1,407 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures45.5% of 176 movements23.9% across 1,394 flightsreturned the next month
NATS system failure · Aug 2023Arrivals31.2% of 218 movements21.9% across 2,408 flightsreturned after 7 months
NATS system failure · Aug 2023Departures29.5% of 217 movements28.4% across 2,409 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals11.2% of 233 movements23.5% across 2,675 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.6% of 228 movements22.2% across 2,673 flightsreturned the next month
Definitions, denominators and limits

The baseline is the unweighted mean share over the twelve preceding calendar months. The return window is the following eight months, up to the end of the archive. Return means the first observed value at or below the baseline; it is not the duration of the disruption itself. If the event month is already below the baseline, counting still starts the month after. Gaps and suppressed cells are not treated as zeros or as recovery.

Which time of year has historically been hardest?

December has historically been the hardest month on this route: in a typical December, 38.6% of arrivals were disrupted, measured across 6 Decembers in the archive. May has been the calmest, at 13.1% across 7 Mays.

Even December has ranged from 18.4% to 50.9% in different years, so this is a record of what happened, not a forecast of what will. Lower is better throughout.

Each cell is one calendar month of one year; the number is the share of that month’s arrivals that were disrupted. Darker means worse. A blank cell means no published data, not zero.

Seasonality: calendar month by year; share and nJanFebMarAprMayJunJulAugSepOctNovDec201916.3% of 215 movements30.7% of 215 movements33.5% of 248 movements14.9% of 241 movements11.3% of 247 movements29.5% of 244 movements21.1% of 227 movements22.6% of 234 movements22.8% of 237 movements27.5% of 251 movements35.7% of 227 movements37.0% of 216 movements202020.9% of 230 movements41.1% of 224 movements19.9% of 151 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.1% of 32 movements †8.2% of 49 movements †1.8% of 57 movements2.0% of 51 movements4.8% of 21 movements †25.8% of 31 movements †202116.7% of 24 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements9.5% of 21 movements †3.6% of 28 movements †20.0% of 30 movements †10.0% of 30 movements †2.1% of 48 movements †17.1% of 82 movements8.7% of 126 movements20.2% of 114 movements20229.2% of 76 movements28.1% of 89 movements10.9% of 174 movements25.2% of 218 movements30.3% of 218 movements40.6% of 202 movements22.2% of 180 movements12.1% of 149 movements21.3% of 141 movements17.2% of 169 movements16.5% of 206 movements44.0% of 200 movements202325.6% of 207 movements15.2% of 198 movements21.4% of 224 movements17.4% of 230 movements15.4% of 240 movements29.5% of 217 movements27.8% of 227 movements31.2% of 218 movements35.3% of 215 movements34.0% of 253 movements22.9% of 223 movements50.9% of 216 movements202427.4% of 208 movements30.6% of 235 movements19.6% of 255 movements28.0% of 218 movements20.6% of 223 movements22.7% of 216 movements23.3% of 227 movements25.2% of 222 movements29.0% of 217 movements25.6% of 227 movements14.6% of 219 movements31.9% of 226 movements202533.2% of 217 movements7.7% of 208 movements11.2% of 233 movements14.2% of 212 movements5.2% of 213 movements11.8% of 212 movements17.8% of 225 movements7.8% of 218 movements24.6% of 211 movements17.9% of 223 movements7.8% of 230 movements18.4% of 234 movements202624.8% of 218 movements19.5% of 210 movements8.8% of 239 movements13.5% of 207 movements13.1% of 214 movements25.3% of 217 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.6%9.2–43.0%7 months, 1,369 flights
Feb19.5%7.7–30.7%7 months, 1,385 flights
Mar19.6%8.8–33.5%7 months, 1,629 flights
Apr17.4%13.5–28.0%7 months, 1,566 flights
May13.1%5.2–30.3%7 months, 1,606 flights
Jun25.3%11.8–40.6%7 months, 1,552 flights
Jul21.7%17.2–27.8%6 months, 1,318 flights
Aug18.8%7.8–31.2%6 months, 1,289 flights
Sep24.2%21.3–35.3%6 months, 1,261 flights
Oct26.3%17.2–34.0%6 months, 1,382 flights
Nov19.7%7.8–35.7%6 months, 1,345 flights
Dec38.6%18.4–50.9%6 months, 1,319 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: Sas 16.0% of 1,346 movements, British Airways 16.8% of 1,007 movements, Scandinavian Airlines Ireland 18.2% of 292 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 Airways16.8% of 1,007 flightsSas16.0% of 1,346 flightsScandinavian Airlines Ireland18.2% of 292 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ba Euroflyer British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways1,00716.8% of 1,007 movements0.3% of 1,007 movements0.5% of 1,007 movementsdescriptive comparison
Sas1,34616.0% of 1,346 movements3.4% of 1,346 movements0.1% of 1,346 movementsdescriptive comparison
Scandinavian Airlines Ireland29218.2% of 292 movementsno events in 292 movements0.3% of 292 movementsdescriptive comparison

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

Would another UK airport have been better?

Among UK airports flying to this city with enough flights to publish, EDI had the lowest disruption share at 16.5% of 461 movements and STN the highest at 26.8% of 452 movements. This route sits at 16.5% of 2,646 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 ↔ Oslo-Gardermoen16.5% of 461 flightsLgw ↔ Oslo-Gardermoen20.5% of 1,239 flightsMan ↔ Oslo-Gardermoen22.6% of 801 flightsStn ↔ Oslo-Gardermoen26.8% of 452 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Oslo-Gardermoen46116.5% of 461 movements0.2% of 461 movements0.2% of 461 movementsdescriptive comparison
Ema ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Oslo-Gardermoen1,23920.5% of 1,239 movements0.8% of 1,239 movementsno events in 1,239 movementsdescriptive comparison
Lpl ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Oslo-Gardermoen80122.6% of 801 movements1.2% of 801 movements0.4% of 801 movementsdescriptive comparison
Mme ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Oslo-Gardermoen45226.8% of 452 movementsno events in 452 movements0.7% of 452 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 16.5% of 2,646 movements disrupted, departures 15.7% of 2,636 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 LHR16.5% of 2,646 movements1.9% of 2,646 movements0.3% of 2,646 movements
Departures from LHR15.7% of 2,636 movements1.7% of 2,636 movements0.2% of 2,636 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 202641 flights out of 18,42341 × £220 = £9,020
ArrivalsLast 72 months · Jul 2020–Jun 202628 flights out of 12,11928 × £220 = £6,160
DeparturesWhole archive · Jan 2018–Jun 202635 flights out of 18,38635 × £220 = £7,700
DeparturesLast 72 months · Jul 2020–Jun 202625 flights out of 12,08025 × £220 = £5,500
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 / countryOSLO (GARDERMOEN) / NORWAY
Final point codesOSL / ENGM
Great-circle distance1,206 km
Maximum statutory amount for the band£220
Average operated arrivals per day7.12
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 archive100

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: 2,646; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

16.5% of 2,646 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.9% of 2,646 movements in the same window.

How many delays crossed three hours?

0.3% of 2,646 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

At the corpus median, or ranges overlap. The class compares the tail with short delays across routes in the corpus.

What distance is used?

1,206 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

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