UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ PARIS CHARLES DE GAULLE

In the twelve months from July 2025 to June 2026, 25.3% of 4,785 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, 74.7% of 4,785 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 798 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, 25.3% of 4,785 movements were disrupted and 1.9% of 4,785 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
25.3% of 4,785 movements1.9% of 4,785 movements24.2–53.7 min; N of delayed flights=1,118–2,2904,785
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 4,785 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 min23.4%30 min12.8%60 min4.7%120 min0.9%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min23.4% of 4,785 movements1,1184.3
>30 min12.8% of 4,785 movements6127.8
>60 min4.7% of 4,785 movements22421.4
>120 min0.9% of 4,785 movements43111.3
>180 min0.1% of 4,785 movements6797.5
>360 min0.0% of 4,785 movements22,392.5
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 early77116.1%15–1 early1,63134.1%0–15 late1,17224.5%16–3050610.6%31–603888.1%61…1201813.8%121…180370.8%181…36040.1%>36020.0%D=4,785
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0067; 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, 1.0% of 97 movements. Worst month: Jul 2022, 55.1% of 296 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: 24.9%; sample: 3982018Feb 2018: 38.0%; sample: 382Mar 2018: 26.9%; sample: 432Apr 2018: 34.8%; sample: 402May 2018: 26.2%; sample: 404Jun 2018: 22.3%; sample: 417Jul 2018: 35.2%; sample: 437Aug 2018: 26.8%; sample: 414Sep 2018: 25.6%; sample: 407Oct 2018: 30.6%; sample: 422Nov 2018: 31.9%; sample: 392Dec 2018: 31.3%; sample: 403Jan 2019: 16.2%; sample: 3772019Feb 2019: 18.0%; sample: 355Mar 2019: 28.7%; sample: 407Apr 2019: 19.2%; sample: 407May 2019: 13.0%; sample: 391Jun 2019: 33.4%; sample: 389Jul 2019: 27.6%; sample: 410Aug 2019: 21.1%; sample: 389Sep 2019: 20.6%; sample: 373Oct 2019: 24.2%; sample: 405Nov 2019: 17.0%; sample: 371Dec 2019: 34.5%; sample: 406Jan 2020: 19.8%; sample: 3782020Feb 2020: 38.4%; sample: 375Mar 2020: 9.2%; sample: 260Apr 2020: 5.6%; sample: 36May 2020: 8.8%; sample: 34Jun 2020: 3.8%; sample: 52Jul 2020: 4.5%; sample: 157Aug 2020: 5.0%; sample: 121Sep 2020: 1.0%; sample: 97Oct 2020: 3.6%; sample: 166Nov 2020: 2.4%; sample: 83Dec 2020: 27.7%; sample: 101Jan 2021: 11.9%; sample: 1012021Feb 2021: 41.7%; sample: 84Mar 2021: 41.3%; sample: 92Apr 2021: 45.6%; sample: 90May 2021: 9.7%; sample: 93Jun 2021: 16.7%; sample: 102Jul 2021: 18.7%; sample: 123Aug 2021: 14.8%; sample: 176Sep 2021: 19.3%; sample: 181Oct 2021: 16.1%; sample: 205Nov 2021: 19.5%; sample: 231Dec 2021: 13.2%; sample: 227Jan 2022: 9.2%; sample: 1842022Feb 2022: 11.5%; sample: 191Mar 2022: 14.9%; sample: 308Apr 2022: 22.9%; sample: 354May 2022: 19.5%; sample: 375Jun 2022: 36.4%; sample: 365Jul 2022: 55.1%; sample: 296Aug 2022: 33.7%; sample: 270Sep 2022: 51.6%; sample: 254Oct 2022: 31.0%; sample: 277Nov 2022: 30.7%; sample: 326Dec 2022: 48.1%; sample: 337Jan 2023: 29.6%; sample: 3652023Feb 2023: 24.2%; sample: 318Mar 2023: 44.2%; sample: 373Apr 2023: 45.6%; sample: 340May 2023: 39.1%; sample: 348Jun 2023: 45.7%; sample: 335Jul 2023: 38.3%; sample: 321Aug 2023: 37.0%; sample: 327Sep 2023: 42.5%; sample: 341Oct 2023: 34.9%; sample: 375Nov 2023: 27.2%; sample: 386Dec 2023: 40.3%; sample: 392Jan 2024: 30.5%; sample: 3152024Feb 2024: 23.1%; sample: 337Mar 2024: 21.5%; sample: 400Apr 2024: 35.0%; sample: 386May 2024: 35.8%; sample: 394Jun 2024: 34.1%; sample: 370Jul 2024: 37.2%; sample: 390Aug 2024: 31.1%; sample: 396Sep 2024: 48.2%; sample: 380Oct 2024: 34.8%; sample: 405Nov 2024: 26.7%; sample: 412Dec 2024: 38.8%; sample: 417Jan 2025: 31.0%; sample: 4132025Feb 2025: 14.1%; sample: 377Mar 2025: 17.3%; sample: 421Apr 2025: 16.5%; sample: 381May 2025: 17.8%; sample: 376Jun 2025: 23.3%; sample: 356Jul 2025: 38.8%; sample: 366Aug 2025: 26.0%; sample: 366Sep 2025: 45.9%; sample: 366Oct 2025: 24.7%; sample: 405Nov 2025: 24.1%; sample: 431Dec 2025: 25.7%; sample: 447Jan 2026: 32.0%; sample: 4372026Feb 2026: 18.4%; sample: 403Mar 2026: 13.5%; sample: 445Apr 2026: 14.6%; sample: 378May 2026: 16.4%; sample: 373Jun 2026: 26.4%; sample: 368Pandemic 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 201824.9% of 398 movements
Feb 201838.0% of 382 movements
Mar 201826.9% of 432 movements
Apr 201834.8% of 402 movements
May 201826.2% of 404 movements
Jun 201822.3% of 417 movements
Jul 201835.2% of 437 movements
Aug 201826.8% of 414 movements
Sep 201825.6% of 407 movements
Oct 201830.6% of 422 movements
Nov 201831.9% of 392 movements
Dec 201831.3% of 403 movements
Jan 201916.2% of 377 movements
Feb 201918.0% of 355 movements
Mar 201928.7% of 407 movements
Apr 201919.2% of 407 movements
May 201913.0% of 391 movements
Jun 201933.4% of 389 movements
Jul 201927.6% of 410 movements
Aug 201921.1% of 389 movements
Sep 201920.6% of 373 movements
Oct 201924.2% of 405 movements
Nov 201917.0% of 371 movements
Dec 201934.5% of 406 movements
Jan 202019.8% of 378 movements
Feb 202038.4% of 375 movements
Mar 20209.2% of 260 movements
Apr 20205.6% of 36 movements — small sample, not ranked
May 20208.8% of 34 movements — small sample, not ranked
Jun 20203.8% of 52 movements
Jul 20204.5% of 157 movements
Aug 20205.0% of 121 movements
Sep 20201.0% of 97 movements
Oct 20203.6% of 166 movements
Nov 20202.4% of 83 movements
Dec 202027.7% of 101 movements
Jan 202111.9% of 101 movements
Feb 202141.7% of 84 movements
Mar 202141.3% of 92 movements
Apr 202145.6% of 90 movements
May 20219.7% of 93 movements
Jun 202116.7% of 102 movements
Jul 202118.7% of 123 movements
Aug 202114.8% of 176 movements
Sep 202119.3% of 181 movements
Oct 202116.1% of 205 movements
Nov 202119.5% of 231 movements
Dec 202113.2% of 227 movements
Jan 20229.2% of 184 movements
Feb 202211.5% of 191 movements
Mar 202214.9% of 308 movements
Apr 202222.9% of 354 movements
May 202219.5% of 375 movements
Jun 202236.4% of 365 movements
Jul 202255.1% of 296 movements
Aug 202233.7% of 270 movements
Sep 202251.6% of 254 movements
Oct 202231.0% of 277 movements
Nov 202230.7% of 326 movements
Dec 202248.1% of 337 movements
Jan 202329.6% of 365 movements
Feb 202324.2% of 318 movements
Mar 202344.2% of 373 movements
Apr 202345.6% of 340 movements
May 202339.1% of 348 movements
Jun 202345.7% of 335 movements
Jul 202338.3% of 321 movements
Aug 202337.0% of 327 movements
Sep 202342.5% of 341 movements
Oct 202334.9% of 375 movements
Nov 202327.2% of 386 movements
Dec 202340.3% of 392 movements
Jan 202430.5% of 315 movements
Feb 202423.1% of 337 movements
Mar 202421.5% of 400 movements
Apr 202435.0% of 386 movements
May 202435.8% of 394 movements
Jun 202434.1% of 370 movements
Jul 202437.2% of 390 movements
Aug 202431.1% of 396 movements
Sep 202448.2% of 380 movements
Oct 202434.8% of 405 movements
Nov 202426.7% of 412 movements
Dec 202438.8% of 417 movements
Jan 202531.0% of 413 movements
Feb 202514.1% of 377 movements
Mar 202517.3% of 421 movements
Apr 202516.5% of 381 movements
May 202517.8% of 376 movements
Jun 202523.3% of 356 movements
Jul 202538.8% of 366 movements
Aug 202526.0% of 366 movements
Sep 202545.9% of 366 movements
Oct 202524.7% of 405 movements
Nov 202524.1% of 431 movements
Dec 202525.7% of 447 movements
Jan 202632.0% of 437 movements
Feb 202618.4% of 403 movements
Mar 202613.5% of 445 movements
Apr 202614.6% of 378 movements
May 202616.4% of 373 movements
Jun 202626.4% of 368 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 2020Arrivals3.8% of 52 movements21.7% across 3,826 flightsreturned the next month
Pandemic regime · Jun 2020Departures5.8% of 52 movements17.2% across 3,826 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals55.1% of 296 movements18.0% across 2,920 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures67.2% of 293 movements25.3% across 2,900 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals37.0% of 327 movements38.5% across 3,864 flightsreturned after 2 months
NATS system failure · Aug 2023Departures41.7% of 326 movements45.1% across 3,859 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals17.3% of 421 movements32.3% across 4,740 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures22.2% of 418 movements31.4% across 4,737 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, 44.2% of arrivals were disrupted, measured across 6 Septembers in the archive. February has been the calmest, at 18.4% across 7 Februarys.

Even September has ranged from 20.6% to 51.6% in different years, so this is a record of what happened, not a forecast of what will. Lower is better throughout.

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

Seasonality: calendar month by year; share and nJanFebMarAprMayJunJulAugSepOctNovDec201916.2% of 377 movements18.0% of 355 movements28.7% of 407 movements19.2% of 407 movements13.0% of 391 movements33.4% of 389 movements27.6% of 410 movements21.1% of 389 movements20.6% of 373 movements24.2% of 405 movements17.0% of 371 movements34.5% of 406 movements202019.8% of 378 movements38.4% of 375 movements9.2% of 260 movements5.6% of 36 movements †8.8% of 34 movements †3.8% of 52 movements4.5% of 157 movements5.0% of 121 movements1.0% of 97 movements3.6% of 166 movements2.4% of 83 movements27.7% of 101 movements202111.9% of 101 movements41.7% of 84 movements41.3% of 92 movements45.6% of 90 movements9.7% of 93 movements16.7% of 102 movements18.7% of 123 movements14.8% of 176 movements19.3% of 181 movements16.1% of 205 movements19.5% of 231 movements13.2% of 227 movements20229.2% of 184 movements11.5% of 191 movements14.9% of 308 movements22.9% of 354 movements19.5% of 375 movements36.4% of 365 movements55.1% of 296 movements33.7% of 270 movements51.6% of 254 movements31.0% of 277 movements30.7% of 326 movements48.1% of 337 movements202329.6% of 365 movements24.2% of 318 movements44.2% of 373 movements45.6% of 340 movements39.1% of 348 movements45.7% of 335 movements38.3% of 321 movements37.0% of 327 movements42.5% of 341 movements34.9% of 375 movements27.2% of 386 movements40.3% of 392 movements202430.5% of 315 movements23.1% of 337 movements21.5% of 400 movements35.0% of 386 movements35.8% of 394 movements34.1% of 370 movements37.2% of 390 movements31.1% of 396 movements48.2% of 380 movements34.8% of 405 movements26.7% of 412 movements38.8% of 417 movements202531.0% of 413 movements14.1% of 377 movements17.3% of 421 movements16.5% of 381 movements17.8% of 376 movements23.3% of 356 movements38.8% of 366 movements26.0% of 366 movements45.9% of 366 movements24.7% of 405 movements24.1% of 431 movements25.7% of 447 movements202632.0% of 437 movements18.4% of 403 movements13.5% of 445 movements14.6% of 378 movements16.4% of 373 movements26.4% of 368 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan29.6%9.2–32.0%7 months, 2,489 flights
Feb18.4%11.5–38.0%7 months, 2,363 flights
Mar21.5%13.5–44.2%7 months, 2,786 flights
Apr22.9%14.6–45.6%7 months, 2,648 flights
May19.5%13.0–39.1%7 months, 2,661 flights
Jun33.4%22.3–45.7%7 months, 2,600 flights
Jul37.7%27.6–55.1%6 months, 2,220 flights
Aug28.9%21.1–37.0%6 months, 2,162 flights
Sep44.2%20.6–51.6%6 months, 2,121 flights
Oct30.8%24.2–34.9%6 months, 2,289 flights
Nov27.0%17.0–31.9%6 months, 2,318 flights
Dec36.7%25.7–48.1%6 months, 2,402 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 23.4% of 2,473 movements, Air France 27.3% of 2,311 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 optionAir France27.3% of 2,311 flightsBritish Airways23.4% of 2,473 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air France2,31127.3% of 2,311 movements2.3% of 2,311 movements0.1% of 2,311 movementsdescriptive comparison
American Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways2,47323.4% of 2,473 movements1.7% of 2,473 movements0.2% of 2,473 movementsdescriptive comparison
China Eastern Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Delta Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Hi Fly Maltasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jetblue Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Rwandairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Rwandair Expresssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
United Airlinessuppressed: 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, ABZ had the lowest disruption share at 15.6% of 64 movements and MAN the highest at 46.9% of 2,780 movements. This route sits at 25.3% of 4,785 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 optionAbz ↔ Paris-Charles-De-Gaulle15.6% of 64 flightsBfs ↔ Paris-Charles-De-Gaulle26.0% of 407 flightsBhx ↔ Paris-Charles-De-Gaulle28.9% of 1,631 flightsBrs ↔ Paris-Charles-De-Gaulle32.6% of 965 flightsEdi ↔ Paris-Charles-De-Gaulle35.0% of 1,859 flightsGla ↔ Paris-Charles-De-Gaulle37.8% of 683 flightsJer ↔ Paris-Charles-De-Gaulle22.0% of 50 flightsLba ↔ Paris-Charles-De-Gaulle40.3% of 278 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Paris-Charles-De-Gaulle6415.6% of 64 movementsno events in 64 movementsno events in 64 movementsdescriptive comparison
Bfs ↔ Paris-Charles-De-Gaulle40726.0% of 407 movements0.7% of 407 movementsno events in 407 movementsdescriptive comparison
Bhd ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Paris-Charles-De-Gaulle1,63128.9% of 1,631 movements1.5% of 1,631 movements0.3% of 1,631 movementsdescriptive comparison
Brs ↔ Paris-Charles-De-Gaulle96532.6% of 965 movements1.9% of 965 movements0.3% of 965 movementsdescriptive comparison
Cwl ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Paris-Charles-De-Gaulle1,85935.0% of 1,859 movements1.0% of 1,859 movements0.6% of 1,859 movementsdescriptive comparison
Ema ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Paris-Charles-De-Gaulle68337.8% of 683 movements1.2% of 683 movements0.1% of 683 movementsdescriptive comparison
Iom ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Paris-Charles-De-Gaulle5022.0% of 50 movementsno events in 50 movements2.0% of 50 movementsdescriptive comparison
Lba ↔ Paris-Charles-De-Gaulle27840.3% of 278 movementsno events in 278 movements0.7% of 278 movementsdescriptive comparison
Lcy ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Paris-Charles-De-Gaulle1,64134.0% of 1,641 movements2.2% of 1,641 movements0.5% of 1,641 movementsdescriptive comparison
Lpl ↔ Paris-Charles-De-Gaulle27324.2% of 273 movements1.8% of 273 movements0.4% of 273 movementsdescriptive comparison
Ltn ↔ Paris-Charles-De-Gaulle1,13335.4% of 1,133 movements0.5% of 1,133 movements1.0% of 1,133 movementsdescriptive comparison
Man ↔ Paris-Charles-De-Gaulle2,78046.9% of 2,780 movements1.3% of 2,780 movements0.6% of 2,780 movementsdescriptive comparison
Ncl ↔ Paris-Charles-De-Gaulle1,04328.7% of 1,043 movements1.0% of 1,043 movements0.3% of 1,043 movementsdescriptive comparison
Sen ↔ Paris-Charles-De-Gaulle21421.0% of 214 movements0.5% of 214 movements0.5% of 214 movementsdescriptive comparison
Sou ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Paris-Charles-De-Gaulle3444.1% of 34 movements — small sample, not rankedno events in 34 movements — small sample, not rankedno events in 34 movements — small sample, not rankedsmall sample; not ranked

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 25.3% of 4,785 movements disrupted, departures 24.9% of 4,781 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 LHR25.3% of 4,785 movements1.9% of 4,785 movements0.1% of 4,785 movements
Departures from LHR24.9% of 4,781 movements2.0% of 4,781 movements0.2% of 4,781 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 202689 flights out of 32,62489 × £220 = £19,580
ArrivalsLast 72 months · Jul 2020–Jun 202663 flights out of 21,89963 × £220 = £13,860
DeparturesWhole archive · Jan 2018–Jun 202665 flights out of 32,56865 × £220 = £14,300
DeparturesLast 72 months · Jul 2020–Jun 202657 flights out of 21,85557 × £220 = £12,540
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 / countryPARIS (CHARLES DE GAULLE) / FRANCE
Final point codesCDG / LFPG
Great-circle distance348 km
Maximum statutory amount for the band£220
Average operated arrivals per day12.85
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: 4,785; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

25.3% of 4,785 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 4,785 movements in the same window.

How many delays crossed three hours?

0.1% of 4,785 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?

348 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

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