UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ DUSSELDORF

In the twelve months from July 2025 to June 2026, 22.5% of 2,874 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, 77.5% of 2,874 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 479 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, 22.5% of 2,874 movements were disrupted and 0.8% of 2,874 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
22.5% of 2,874 movements0.8% of 2,874 movements20.5–52.1 min; N of delayed flights=624–1,4492,874
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 0.8% of 2,874 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 min21.7%30 min10.8%60 min3.5%120 min0.5%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min21.7% of 2,874 movements6244.6
>30 min10.8% of 2,874 movements3109.3
>60 min3.5% of 2,874 movements10028.7
>120 min0.5% of 2,874 movements15191.6
>180 min0.2% of 2,874 movements6479.0
>360 min0.0% of 2,874 movements12,874.0
Definitions, denominators and limits

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

Slightly late, or occasionally a disaster?

When this route runs late, it is usually only a little late: big blow-ups are rarer here 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 early2468.6%15–1 early1,15640.2%0–15 late82528.7%16–3031410.9%31–602107.3%61…120853.0%121…18090.3%181…36050.2%>36010.0%D=2,874
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0115; 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, no events in 74 movements. Worst month: Sep 2023, 54.1% of 218 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: 17.8%; sample: 3042018Feb 2018: 21.9%; sample: 274Mar 2018: 22.5%; sample: 302Apr 2018: 24.1%; sample: 282May 2018: 19.8%; sample: 293Jun 2018: 21.2%; sample: 278Jul 2018: 23.1%; sample: 286Aug 2018: 22.0%; sample: 287Sep 2018: 24.2%; sample: 281Oct 2018: 23.3%; sample: 296Nov 2018: 18.4%; sample: 294Dec 2018: 27.3%; sample: 275Jan 2019: 13.2%; sample: 2722019Feb 2019: 11.5%; sample: 260Mar 2019: 24.0%; sample: 300Apr 2019: 10.1%; sample: 277May 2019: 9.5%; sample: 285Jun 2019: 28.7%; sample: 272Jul 2019: 23.5%; sample: 289Aug 2019: 21.9%; sample: 283Sep 2019: 23.7%; sample: 262Oct 2019: 24.7%; sample: 288Nov 2019: 7.7%; sample: 284Dec 2019: 14.2%; sample: 274Jan 2020: 5.4%; sample: 2802020Feb 2020: 32.3%; sample: 260Mar 2020: 6.6%; sample: 197Apr 2020: 0.0%; sample: 24May 2020: suppressed: fewer than twenty movements×Jun 2020: 0.0%; sample: 24Jul 2020: 1.8%; sample: 55Aug 2020: 5.6%; sample: 54Sep 2020: 0.0%; sample: 74Oct 2020: 2.2%; sample: 134Nov 2020: 5.0%; sample: 60Dec 2020: 7.3%; sample: 41Jan 2021: 0.0%; sample: 242021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: 0.0%; sample: 23Apr 2021: 3.8%; sample: 26May 2021: 4.0%; sample: 25Jun 2021: suppressed: fewer than twenty movements×Jul 2021: 20.0%; sample: 20Aug 2021: 11.1%; sample: 45Sep 2021: 13.4%; sample: 82Oct 2021: 14.4%; sample: 97Nov 2021: 5.4%; sample: 130Dec 2021: 9.8%; sample: 112Jan 2022: 5.1%; sample: 592022Feb 2022: 19.7%; sample: 76Mar 2022: 13.4%; sample: 186Apr 2022: 20.8%; sample: 183May 2022: 26.7%; sample: 206Jun 2022: 44.8%; sample: 183Jul 2022: 45.5%; sample: 165Aug 2022: 23.6%; sample: 195Sep 2022: 44.3%; sample: 176Oct 2022: 30.6%; sample: 160Nov 2022: 16.9%; sample: 219Dec 2022: 27.8%; sample: 205Jan 2023: 17.0%; sample: 1882023Feb 2023: 18.0%; sample: 205Mar 2023: 36.4%; sample: 225Apr 2023: 35.8%; sample: 215May 2023: 32.2%; sample: 236Jun 2023: 42.3%; sample: 213Jul 2023: 40.5%; sample: 222Aug 2023: 42.2%; sample: 225Sep 2023: 54.1%; sample: 218Oct 2023: 35.8%; sample: 240Nov 2023: 19.5%; sample: 241Dec 2023: 37.6%; sample: 237Jan 2024: 19.5%; sample: 2202024Feb 2024: 20.5%; sample: 229Mar 2024: 19.1%; sample: 246Apr 2024: 31.3%; sample: 195May 2024: 34.7%; sample: 202Jun 2024: 37.8%; sample: 196Jul 2024: 50.5%; sample: 206Aug 2024: 40.4%; sample: 203Sep 2024: 52.6%; sample: 194Oct 2024: 34.1%; sample: 217Nov 2024: 15.7%; sample: 261Dec 2024: 30.5%; sample: 259Jan 2025: 18.9%; sample: 2542025Feb 2025: 8.9%; sample: 236Mar 2025: 11.9%; sample: 253Apr 2025: 11.8%; sample: 212May 2025: 17.7%; sample: 209Jun 2025: 13.5%; sample: 200Jul 2025: 23.4%; sample: 205Aug 2025: 22.5%; sample: 204Sep 2025: 33.2%; sample: 199Oct 2025: 20.7%; sample: 227Nov 2025: 13.7%; sample: 270Dec 2025: 24.3%; sample: 288Jan 2026: 32.2%; sample: 2422026Feb 2026: 11.2%; sample: 249Mar 2026: 16.1%; sample: 279Apr 2026: 17.7%; sample: 243May 2026: 26.7%; sample: 240Jun 2026: 32.9%; sample: 228Pandemic 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 201817.8% of 304 movements
Feb 201821.9% of 274 movements
Mar 201822.5% of 302 movements
Apr 201824.1% of 282 movements
May 201819.8% of 293 movements
Jun 201821.2% of 278 movements
Jul 201823.1% of 286 movements
Aug 201822.0% of 287 movements
Sep 201824.2% of 281 movements
Oct 201823.3% of 296 movements
Nov 201818.4% of 294 movements
Dec 201827.3% of 275 movements
Jan 201913.2% of 272 movements
Feb 201911.5% of 260 movements
Mar 201924.0% of 300 movements
Apr 201910.1% of 277 movements
May 20199.5% of 285 movements
Jun 201928.7% of 272 movements
Jul 201923.5% of 289 movements
Aug 201921.9% of 283 movements
Sep 201923.7% of 262 movements
Oct 201924.7% of 288 movements
Nov 20197.7% of 284 movements
Dec 201914.2% of 274 movements
Jan 20205.4% of 280 movements
Feb 202032.3% of 260 movements
Mar 20206.6% of 197 movements
Apr 2020no events in 24 movements — small sample, not ranked
May 2020suppressed: fewer than twenty movements
Jun 2020no events in 24 movements — small sample, not ranked
Jul 20201.8% of 55 movements
Aug 20205.6% of 54 movements
Sep 2020no events in 74 movements
Oct 20202.2% of 134 movements
Nov 20205.0% of 60 movements
Dec 20207.3% of 41 movements — small sample, not ranked
Jan 2021no events in 24 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021no events in 23 movements — small sample, not ranked
Apr 20213.8% of 26 movements — small sample, not ranked
May 20214.0% of 25 movements — small sample, not ranked
Jun 2021suppressed: fewer than twenty movements
Jul 202120.0% of 20 movements — small sample, not ranked
Aug 202111.1% of 45 movements — small sample, not ranked
Sep 202113.4% of 82 movements
Oct 202114.4% of 97 movements
Nov 20215.4% of 130 movements
Dec 20219.8% of 112 movements
Jan 20225.1% of 59 movements
Feb 202219.7% of 76 movements
Mar 202213.4% of 186 movements
Apr 202220.8% of 183 movements
May 202226.7% of 206 movements
Jun 202244.8% of 183 movements
Jul 202245.5% of 165 movements
Aug 202223.6% of 195 movements
Sep 202244.3% of 176 movements
Oct 202230.6% of 160 movements
Nov 202216.9% of 219 movements
Dec 202227.8% of 205 movements
Jan 202317.0% of 188 movements
Feb 202318.0% of 205 movements
Mar 202336.4% of 225 movements
Apr 202335.8% of 215 movements
May 202332.2% of 236 movements
Jun 202342.3% of 213 movements
Jul 202340.5% of 222 movements
Aug 202342.2% of 225 movements
Sep 202354.1% of 218 movements
Oct 202335.8% of 240 movements
Nov 202319.5% of 241 movements
Dec 202337.6% of 237 movements
Jan 202419.5% of 220 movements
Feb 202420.5% of 229 movements
Mar 202419.1% of 246 movements
Apr 202431.3% of 195 movements
May 202434.7% of 202 movements
Jun 202437.8% of 196 movements
Jul 202450.5% of 206 movements
Aug 202440.4% of 203 movements
Sep 202452.6% of 194 movements
Oct 202434.1% of 217 movements
Nov 202415.7% of 261 movements
Dec 202430.5% of 259 movements
Jan 202518.9% of 254 movements
Feb 20258.9% of 236 movements
Mar 202511.9% of 253 movements
Apr 202511.8% of 212 movements
May 202517.7% of 209 movements
Jun 202513.5% of 200 movements
Jul 202523.4% of 205 movements
Aug 202522.5% of 204 movements
Sep 202533.2% of 199 movements
Oct 202520.7% of 227 movements
Nov 202513.7% of 270 movements
Dec 202524.3% of 288 movements
Jan 202632.2% of 242 movements
Feb 202611.2% of 249 movements
Mar 202616.1% of 279 movements
Apr 202617.7% of 243 movements
May 202626.7% of 240 movements
Jun 202632.9% of 228 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 24 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuresno events in 26 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals45.5% of 165 movements17.1% across 1,379 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures47.9% of 165 movements20.8% across 1,374 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals42.2% of 225 movements30.5% across 2,459 flightsreturned after 3 months
NATS system failure · Aug 2023Departures49.8% of 225 movements37.7% across 2,461 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals11.9% of 253 movements31.2% across 2,669 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.4% of 253 movements33.7% across 2,669 flightsreturned the next month
Definitions, denominators and limits

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

Which time of year has historically been hardest?

September has historically been the hardest month on this route: in a typical September, 38.7% of arrivals were disrupted, measured across 6 Septembers in the archive. November has been the calmest, at 16.3% across 6 Novembers.

Even September has ranged from 23.7% to 54.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201913.2% of 272 movements11.5% of 260 movements24.0% of 300 movements10.1% of 277 movements9.5% of 285 movements28.7% of 272 movements23.5% of 289 movements21.9% of 283 movements23.7% of 262 movements24.7% of 288 movements7.7% of 284 movements14.2% of 274 movements20205.4% of 280 movements32.3% of 260 movements6.6% of 197 movementsno events in 24 movements †suppressed: fewer than twenty movementsno events in 24 movements †1.8% of 55 movements5.6% of 54 movementsno events in 74 movements2.2% of 134 movements5.0% of 60 movements7.3% of 41 movements †2021no events in 24 movements †suppressed: fewer than twenty movementsno events in 23 movements †3.8% of 26 movements †4.0% of 25 movements †suppressed: fewer than twenty movements20.0% of 20 movements †11.1% of 45 movements †13.4% of 82 movements14.4% of 97 movements5.4% of 130 movements9.8% of 112 movements20225.1% of 59 movements19.7% of 76 movements13.4% of 186 movements20.8% of 183 movements26.7% of 206 movements44.8% of 183 movements45.5% of 165 movements23.6% of 195 movements44.3% of 176 movements30.6% of 160 movements16.9% of 219 movements27.8% of 205 movements202317.0% of 188 movements18.0% of 205 movements36.4% of 225 movements35.8% of 215 movements32.2% of 236 movements42.3% of 213 movements40.5% of 222 movements42.2% of 225 movements54.1% of 218 movements35.8% of 240 movements19.5% of 241 movements37.6% of 237 movements202419.5% of 220 movements20.5% of 229 movements19.1% of 246 movements31.3% of 195 movements34.7% of 202 movements37.8% of 196 movements50.5% of 206 movements40.4% of 203 movements52.6% of 194 movements34.1% of 217 movements15.7% of 261 movements30.5% of 259 movements202518.9% of 254 movements8.9% of 236 movements11.9% of 253 movements11.8% of 212 movements17.7% of 209 movements13.5% of 200 movements23.4% of 205 movements22.5% of 204 movements33.2% of 199 movements20.7% of 227 movements13.7% of 270 movements24.3% of 288 movements202632.2% of 242 movements11.2% of 249 movements16.1% of 279 movements17.7% of 243 movements26.7% of 240 movements32.9% of 228 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan17.8%5.1–32.2%7 months, 1,539 flights
Feb18.0%8.9–21.9%7 months, 1,529 flights
Mar19.1%11.9–36.4%7 months, 1,791 flights
Apr20.8%10.1–35.8%7 months, 1,607 flights
May26.7%9.5–34.7%7 months, 1,671 flights
Jun32.9%13.5–44.8%7 months, 1,570 flights
Jul32.0%23.1–50.5%6 months, 1,373 flights
Aug23.1%21.9–42.2%6 months, 1,397 flights
Sep38.7%23.7–54.1%6 months, 1,330 flights
Oct27.6%20.7–35.8%6 months, 1,428 flights
Nov16.3%7.7–19.5%6 months, 1,569 flights
Dec27.5%14.2–37.6%6 months, 1,538 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 18.4% of 1,324 movements, Eurowings Luftverkehrs 26.0% of 1,550 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 optionBritish Airways18.4% of 1,324 flightsEurowings Luftverkehrs26.0% of 1,550 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Berlinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways1,32418.4% of 1,324 movements1.1% of 1,324 movements0.2% of 1,324 movementsdescriptive comparison
Eurowings Luftverkehrs1,55026.0% of 1,550 movements0.5% of 1,550 movements0.2% of 1,550 movementsdescriptive comparison
Germanwingssuppressed: 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, BHX had the lowest disruption share at 21.7% of 609 movements and LGW the highest at 28.7% of 240 movements. This route sits at 22.5% of 2,874 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 optionBhx ↔ Dusseldorf21.7% of 609 flightsEdi ↔ Dusseldorf28.4% of 278 flightsLgw ↔ Dusseldorf28.7% of 240 flightsMan ↔ Dusseldorf24.1% of 693 flightsNcl ↔ Dusseldorf24.1% of 108 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Dusseldorf60921.7% of 609 movements1.8% of 609 movements0.2% of 609 movementsdescriptive comparison
Boh ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Dusseldorf27828.4% of 278 movements0.4% of 278 movementsno events in 278 movementsdescriptive comparison
Ema ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Dusseldorf24028.7% of 240 movements0.8% of 240 movementsno events in 240 movementsdescriptive comparison
Lpl ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Dusseldorf69324.1% of 693 movements1.0% of 693 movementsno events in 693 movementsdescriptive comparison
Ncl ↔ Dusseldorf10824.1% of 108 movements0.9% of 108 movementsno events in 108 movementsdescriptive comparison
Sen ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Dusseldorfsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Dusseldorfsuppressed: 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 22.5% of 2,874 movements disrupted, departures 24.4% of 2,874 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 LHR22.5% of 2,874 movements0.8% of 2,874 movements0.2% of 2,874 movements
Departures from LHR24.4% of 2,874 movements0.7% of 2,874 movements0.2% of 2,874 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 202647 flights out of 20,17147 × £220 = £10,340
ArrivalsLast 72 months · Jul 2020–Jun 202634 flights out of 12,57034 × £220 = £7,480
DeparturesWhole archive · Jan 2018–Jun 202630 flights out of 20,16630 × £220 = £6,600
DeparturesLast 72 months · Jul 2020–Jun 202621 flights out of 12,56421 × £220 = £4,620
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 / countryDUSSELDORF / GERMANY
Final point codesDUS / EDDL
Great-circle distance502 km
Maximum statutory amount for the band£220
Average operated arrivals per day7.81
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: 2,874; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

22.5% of 2,874 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.8% of 2,874 movements in the same window.

How many delays crossed three hours?

0.2% of 2,874 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

chronically slightly late. The class compares the tail with short delays across routes in the corpus.

What distance is used?

502 km, great-circle.

Can compensation entitlement be established here?

No. The cause and the circumstances of an individual flight are unknown. Official CAA conditions.

Why do some cells say "no data"?

That month is absent from the published series. Small cells carry a separate "suppressed" marker; a gap is never replaced by a zero.

How this was calculated

Dataset version, input hashes and reconstruction rules

Dataset version: 396da8dde2874f14; method route-record-v2.1.

Versioned register of every number and the entity map · Input hashes · Correction log · Reconstruction and formulas.

Reconstruction: integer counts inside the rounding bounds of shares of D, summing to M. Ambiguity is preserved as a range of feasible counts; non-convergence stays in quarantine. The map of codes and coordinates is pinned by hash alongside the data. Raw CSV files are not included in the published output.

Your trip has already gone wrong — what now?

The official route to complain

Contact the airline first, then the relevant ADR body or the CAA. The right to care is assessed separately from compensation; time limits and circumstances are checked case by case. CAA: how to complain.

Reconstruction and formulas

Open the versioned claim register

Was your flight delayed 3h+? Check what you may be owed

We'll email you once; unsubscribe any time.

Related records