UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ LISBON

In the twelve months from July 2025 to June 2026, 34.2% of 3,801 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, 65.8% of 3,801 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 1,267 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, 34.2% of 3,801 movements were disrupted and 0.7% of 3,801 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
34.2% of 3,801 movements0.7% of 3,801 movements23.3–47.6 min; N of delayed flights=1,272–2,4403,801
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: 0.7% of 3,801 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 min33.5%30 min17.0%60 min4.6%120 min0.6%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min33.5% of 3,801 movements1,2723.0
>30 min17.0% of 3,801 movements6475.9
>60 min4.6% of 3,801 movements17322.0
>120 min0.6% of 3,801 movements21181.0
>180 min0.1% of 3,801 movements31,267.0
>360 min0.0% of 3,801 movements13,801.0
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 early3719.8%15–1 early96225.3%0–15 late1,16830.7%16–3062516.4%31–6047412.5%61…1201524.0%121…180180.5%181…36020.1%>36010.0%D=3,801
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0027; 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: May 2021, no events in 82 movements. Worst month: Sep 2024, 74.1% of 321 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: 29.5%; sample: 2342018Feb 2018: 29.7%; sample: 232Mar 2018: 45.2%; sample: 270Apr 2018: 44.9%; sample: 274May 2018: 36.8%; sample: 288Jun 2018: 45.7%; sample: 278Jul 2018: 44.1%; sample: 288Aug 2018: 43.4%; sample: 288Sep 2018: 38.0%; sample: 279Oct 2018: 47.9%; sample: 280Nov 2018: 29.3%; sample: 256Dec 2018: 33.5%; sample: 257Jan 2019: 19.5%; sample: 2562019Feb 2019: 12.9%; sample: 241Mar 2019: 18.8%; sample: 292Apr 2019: 34.9%; sample: 278May 2019: 33.7%; sample: 288Jun 2019: 31.2%; sample: 279Jul 2019: 36.9%; sample: 287Aug 2019: 39.0%; sample: 292Sep 2019: 49.8%; sample: 273Oct 2019: 33.1%; sample: 287Nov 2019: 26.6%; sample: 282Dec 2019: 41.1%; sample: 280Jan 2020: 30.1%; sample: 2462020Feb 2020: 39.8%; sample: 251Mar 2020: 13.8%; sample: 225Apr 2020: suppressed: fewer than twenty movements×May 2020: 0.0%; sample: 27Jun 2020: 6.2%; sample: 32Jul 2020: 2.7%; sample: 112Aug 2020: 1.9%; sample: 103Sep 2020: 2.8%; sample: 107Oct 2020: 2.9%; sample: 138Nov 2020: 2.7%; sample: 74Dec 2020: 5.9%; sample: 102Jan 2021: 9.8%; sample: 512021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: 15.2%; sample: 33May 2021: 0.0%; sample: 82Jun 2021: 3.2%; sample: 155Jul 2021: 8.9%; sample: 157Aug 2021: 10.3%; sample: 174Sep 2021: 12.2%; sample: 181Oct 2021: 22.0%; sample: 209Nov 2021: 13.6%; sample: 250Dec 2021: 12.7%; sample: 251Jan 2022: 12.9%; sample: 2102022Feb 2022: 12.4%; sample: 225Mar 2022: 8.0%; sample: 313Apr 2022: 35.8%; sample: 288May 2022: 28.3%; sample: 304Jun 2022: 41.2%; sample: 279Jul 2022: 48.2%; sample: 284Aug 2022: 31.3%; sample: 310Sep 2022: 60.9%; sample: 304Oct 2022: 47.8%; sample: 322Nov 2022: 25.5%; sample: 310Dec 2022: 34.8%; sample: 313Jan 2023: 22.3%; sample: 3092023Feb 2023: 21.5%; sample: 274Mar 2023: 43.3%; sample: 321Apr 2023: 44.6%; sample: 305May 2023: 49.7%; sample: 318Jun 2023: 49.0%; sample: 310Jul 2023: 40.4%; sample: 322Aug 2023: 46.7%; sample: 330Sep 2023: 48.4%; sample: 310Oct 2023: 49.8%; sample: 313Nov 2023: 29.2%; sample: 315Dec 2023: 35.1%; sample: 319Jan 2024: 17.4%; sample: 3112024Feb 2024: 20.1%; sample: 294Mar 2024: 36.0%; sample: 322Apr 2024: 54.8%; sample: 321May 2024: 52.9%; sample: 333Jun 2024: 42.8%; sample: 318Jul 2024: 45.5%; sample: 332Aug 2024: 44.5%; sample: 328Sep 2024: 74.1%; sample: 321Oct 2024: 61.8%; sample: 325Nov 2024: 30.6%; sample: 314Dec 2024: 42.0%; sample: 317Jan 2025: 31.5%; sample: 3082025Feb 2025: 32.0%; sample: 284Mar 2025: 41.7%; sample: 326Apr 2025: 48.8%; sample: 322May 2025: 37.3%; sample: 332Jun 2025: 34.9%; sample: 318Jul 2025: 55.6%; sample: 333Aug 2025: 38.3%; sample: 329Sep 2025: 49.0%; sample: 314Oct 2025: 44.4%; sample: 324Nov 2025: 32.0%; sample: 316Dec 2025: 31.8%; sample: 308Jan 2026: 26.1%; sample: 3142026Feb 2026: 18.2%; sample: 280Mar 2026: 27.5%; sample: 324Apr 2026: 23.2%; sample: 323May 2026: 31.1%; sample: 328Jun 2026: 30.2%; sample: 308Pandemic 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 201829.5% of 234 movements
Feb 201829.7% of 232 movements
Mar 201845.2% of 270 movements
Apr 201844.9% of 274 movements
May 201836.8% of 288 movements
Jun 201845.7% of 278 movements
Jul 201844.1% of 288 movements
Aug 201843.4% of 288 movements
Sep 201838.0% of 279 movements
Oct 201847.9% of 280 movements
Nov 201829.3% of 256 movements
Dec 201833.5% of 257 movements
Jan 201919.5% of 256 movements
Feb 201912.9% of 241 movements
Mar 201918.8% of 292 movements
Apr 201934.9% of 278 movements
May 201933.7% of 288 movements
Jun 201931.2% of 279 movements
Jul 201936.9% of 287 movements
Aug 201939.0% of 292 movements
Sep 201949.8% of 273 movements
Oct 201933.1% of 287 movements
Nov 201926.6% of 282 movements
Dec 201941.1% of 280 movements
Jan 202030.1% of 246 movements
Feb 202039.8% of 251 movements
Mar 202013.8% of 225 movements
Apr 2020suppressed: fewer than twenty movements
May 2020no events in 27 movements — small sample, not ranked
Jun 20206.2% of 32 movements — small sample, not ranked
Jul 20202.7% of 112 movements
Aug 20201.9% of 103 movements
Sep 20202.8% of 107 movements
Oct 20202.9% of 138 movements
Nov 20202.7% of 74 movements
Dec 20205.9% of 102 movements
Jan 20219.8% of 51 movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 202115.2% of 33 movements — small sample, not ranked
May 2021no events in 82 movements
Jun 20213.2% of 155 movements
Jul 20218.9% of 157 movements
Aug 202110.3% of 174 movements
Sep 202112.2% of 181 movements
Oct 202122.0% of 209 movements
Nov 202113.6% of 250 movements
Dec 202112.7% of 251 movements
Jan 202212.9% of 210 movements
Feb 202212.4% of 225 movements
Mar 20228.0% of 313 movements
Apr 202235.8% of 288 movements
May 202228.3% of 304 movements
Jun 202241.2% of 279 movements
Jul 202248.2% of 284 movements
Aug 202231.3% of 310 movements
Sep 202260.9% of 304 movements
Oct 202247.8% of 322 movements
Nov 202225.5% of 310 movements
Dec 202234.8% of 313 movements
Jan 202322.3% of 309 movements
Feb 202321.5% of 274 movements
Mar 202343.3% of 321 movements
Apr 202344.6% of 305 movements
May 202349.7% of 318 movements
Jun 202349.0% of 310 movements
Jul 202340.4% of 322 movements
Aug 202346.7% of 330 movements
Sep 202348.4% of 310 movements
Oct 202349.8% of 313 movements
Nov 202329.2% of 315 movements
Dec 202335.1% of 319 movements
Jan 202417.4% of 311 movements
Feb 202420.1% of 294 movements
Mar 202436.0% of 322 movements
Apr 202454.8% of 321 movements
May 202452.9% of 333 movements
Jun 202442.8% of 318 movements
Jul 202445.5% of 332 movements
Aug 202444.5% of 328 movements
Sep 202474.1% of 321 movements
Oct 202461.8% of 325 movements
Nov 202430.6% of 314 movements
Dec 202442.0% of 317 movements
Jan 202531.5% of 308 movements
Feb 202532.0% of 284 movements
Mar 202541.7% of 326 movements
Apr 202548.8% of 322 movements
May 202537.3% of 332 movements
Jun 202534.9% of 318 movements
Jul 202555.6% of 333 movements
Aug 202538.3% of 329 movements
Sep 202549.0% of 314 movements
Oct 202544.4% of 324 movements
Nov 202532.0% of 316 movements
Dec 202531.8% of 308 movements
Jan 202626.1% of 314 movements
Feb 202618.2% of 280 movements
Mar 202627.5% of 324 movements
Apr 202623.2% of 323 movements
May 202631.1% of 328 movements
Jun 202630.2% of 308 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 2020Arrivals6.2% of 32 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures21.2% of 33 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals48.2% of 284 movements18.2% across 2,841 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures58.2% of 282 movements25.1% across 2,833 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals46.7% of 330 movements39.3% across 3,718 flightsreturned after 3 months
NATS system failure · Aug 2023Departures39.8% of 329 movements44.0% across 3,714 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals41.7% of 326 movements45.7% across 3,823 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Departures39.4% of 325 movements40.3% across 3,820 flightsreturned after 2 months
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, 49.4% of arrivals were disrupted, measured across 6 Septembers in the archive. February has been the calmest, at 20.1% across 7 Februarys.

Even September has ranged from 38.0% to 74.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201919.5% of 256 movements12.9% of 241 movements18.8% of 292 movements34.9% of 278 movements33.7% of 288 movements31.2% of 279 movements36.9% of 287 movements39.0% of 292 movements49.8% of 273 movements33.1% of 287 movements26.6% of 282 movements41.1% of 280 movements202030.1% of 246 movements39.8% of 251 movements13.8% of 225 movementssuppressed: fewer than twenty movementsno events in 27 movements †6.2% of 32 movements †2.7% of 112 movements1.9% of 103 movements2.8% of 107 movements2.9% of 138 movements2.7% of 74 movements5.9% of 102 movements20219.8% of 51 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements15.2% of 33 movements †no events in 82 movements3.2% of 155 movements8.9% of 157 movements10.3% of 174 movements12.2% of 181 movements22.0% of 209 movements13.6% of 250 movements12.7% of 251 movements202212.9% of 210 movements12.4% of 225 movements8.0% of 313 movements35.8% of 288 movements28.3% of 304 movements41.2% of 279 movements48.2% of 284 movements31.3% of 310 movements60.9% of 304 movements47.8% of 322 movements25.5% of 310 movements34.8% of 313 movements202322.3% of 309 movements21.5% of 274 movements43.3% of 321 movements44.6% of 305 movements49.7% of 318 movements49.0% of 310 movements40.4% of 322 movements46.7% of 330 movements48.4% of 310 movements49.8% of 313 movements29.2% of 315 movements35.1% of 319 movements202417.4% of 311 movements20.1% of 294 movements36.0% of 322 movements54.8% of 321 movements52.9% of 333 movements42.8% of 318 movements45.5% of 332 movements44.5% of 328 movements74.1% of 321 movements61.8% of 325 movements30.6% of 314 movements42.0% of 317 movements202531.5% of 308 movements32.0% of 284 movements41.7% of 326 movements48.8% of 322 movements37.3% of 332 movements34.9% of 318 movements55.6% of 333 movements38.3% of 329 movements49.0% of 314 movements44.4% of 324 movements32.0% of 316 movements31.8% of 308 movements202626.1% of 314 movements18.2% of 280 movements27.5% of 324 movements23.2% of 323 movements31.1% of 328 movements30.2% of 308 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.3%12.9–31.5%7 months, 1,942 flights
Feb20.1%12.4–32.0%7 months, 1,830 flights
Mar36.0%8.0–45.2%7 months, 2,168 flights
Apr44.6%23.2–54.8%7 months, 2,111 flights
May36.8%28.3–52.9%7 months, 2,191 flights
Jun41.2%30.2–49.0%7 months, 2,090 flights
Jul44.8%36.9–55.6%6 months, 1,846 flights
Aug41.2%31.3–46.7%6 months, 1,877 flights
Sep49.4%38.0–74.1%6 months, 1,801 flights
Oct47.8%33.1–61.8%6 months, 1,851 flights
Nov29.3%25.5–32.0%6 months, 1,793 flights
Dec35.0%31.8–42.0%6 months, 1,794 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 29.1% of 1,648 movements, Air Portugal 38.2% of 2,152 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 Portugal38.2% of 2,152 flightsBritish Airways29.1% of 1,648 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Portugal2,15238.2% of 2,152 movements0.4% of 2,152 movements0.0% of 2,152 movementsdescriptive comparison
American Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways1,64829.1% of 1,648 movements1.2% of 1,648 movements0.1% of 1,648 movementsdescriptive comparison
Euroatlantic Airwayssuppressed: 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

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 28.4% of 232 movements and LTN the highest at 55.7% of 879 movements. This route sits at 34.2% of 3,801 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 ↔ Lisbon28.4% of 232 flightsBrs ↔ Lisbon48.3% of 443 flightsEdi ↔ Lisbon47.0% of 334 flightsGla ↔ Lisbon †50.0% of 28 flightsLgw ↔ Lisbon35.7% of 1,620 flightsLpl ↔ Lisbon †42.9% of 28 flightsLtn ↔ Lisbon55.7% of 879 flightsMan ↔ Lisbon44.7% of 1,226 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Lisbon23228.4% of 232 movements0.4% of 232 movements1.7% of 232 movementsdescriptive comparison
Boh ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Lisbon44348.3% of 443 movements0.7% of 443 movements0.5% of 443 movementsdescriptive comparison
Cwl ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Lisbon33447.0% of 334 movements0.3% of 334 movements0.6% of 334 movementsdescriptive comparison
Ema ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Lisbon2850.0% of 28 movements — small sample, not rankedno events in 28 movements — small sample, not rankedno events in 28 movements — small sample, not rankedsmall sample; not ranked
Iom ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Lisbon1,62035.7% of 1,620 movements2.1% of 1,620 movements1.0% of 1,620 movementsdescriptive comparison
Lpl ↔ Lisbon2842.9% of 28 movements — small sample, not rankedno events in 28 movements — small sample, not rankedno events in 28 movements — small sample, not rankedsmall sample; not ranked
Ltn ↔ Lisbon87955.7% of 879 movements0.3% of 879 movements0.2% of 879 movementsdescriptive comparison
Man ↔ Lisbon1,22644.7% of 1,226 movements0.8% of 1,226 movements0.2% of 1,226 movementsdescriptive comparison
Ncl ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Lisbon1,21231.5% of 1,212 movements0.6% of 1,212 movements0.6% of 1,212 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 34.2% of 3,801 movements disrupted, departures 29.3% of 3,796 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 LHR34.2% of 3,801 movements0.7% of 3,801 movements0.1% of 3,801 movements
Departures from LHR29.3% of 3,796 movements0.6% of 3,796 movements0.3% of 3,796 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 202658 flights out of 26,27058 × £350 = £20,300
ArrivalsLast 72 months · Jul 2020–Jun 202646 flights out of 18,91446 × £350 = £16,100
DeparturesWhole archive · Jan 2018–Jun 202662 flights out of 26,23962 × £350 = £21,700
DeparturesLast 72 months · Jul 2020–Jun 202648 flights out of 18,88548 × £350 = £16,800
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 / countryLISBON / PORTUGAL(EXCLUDING MADEIRA)
Final point codesLIS / LPPT
Great-circle distance1,564 km
Maximum statutory amount for the band£350
Average operated arrivals per day10.34
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: 3,801; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

34.2% of 3,801 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.7% of 3,801 movements in the same window.

How many delays crossed three hours?

0.1% of 3,801 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?

1,564 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.

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Reconstruction and formulas

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