UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ BARCELONA

In the twelve months from July 2025 to June 2026, 22.4% of 3,511 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, 77.6% of 3,511 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 319 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, 22.4% of 3,511 movements were disrupted and 1.0% of 3,511 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
22.4% of 3,511 movements1.0% of 3,511 movements25.6–60.5 min; N of delayed flights=752–1,6383,511
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: 1.0% of 3,511 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 min21.4%30 min11.6%60 min4.7%120 min1.2%180 min0.3%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min21.4% of 3,511 movements7524.7
>30 min11.6% of 3,511 movements4078.6
>60 min4.7% of 3,511 movements16521.3
>120 min1.2% of 3,511 movements4185.6
>180 min0.3% of 3,511 movements11319.2
>360 min0.1% of 3,511 movements31,170.3
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 early59516.9%15–1 early1,24435.4%0–15 late88625.2%16–303459.8%31–602426.9%61…1201243.5%121…180300.9%181…36080.2%>36030.1%D=3,511
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0187; 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: Jan 2022, 3.0% of 99 movements. Worst month: Mar 2023, 65.2% of 247 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: 20.5%; sample: 2242018Feb 2018: 30.2%; sample: 225Mar 2018: 20.4%; sample: 255Apr 2018: 29.4%; sample: 235May 2018: 32.0%; sample: 244Jun 2018: 29.1%; sample: 237Jul 2018: 31.4%; sample: 236Aug 2018: 27.2%; sample: 235Sep 2018: 21.6%; sample: 227Oct 2018: 37.6%; sample: 258Nov 2018: 38.9%; sample: 239Dec 2018: 40.4%; sample: 225Jan 2019: 11.2%; sample: 2402019Feb 2019: 17.3%; sample: 237Mar 2019: 28.1%; sample: 263Apr 2019: 14.7%; sample: 252May 2019: 13.7%; sample: 248Jun 2019: 20.0%; sample: 250Jul 2019: 32.3%; sample: 257Aug 2019: 25.7%; sample: 257Sep 2019: 32.2%; sample: 227Oct 2019: 29.1%; sample: 261Nov 2019: 23.3%; sample: 253Dec 2019: 35.5%; sample: 251Jan 2020: 16.4%; sample: 2382020Feb 2020: 44.0%; sample: 243Mar 2020: 21.2%; sample: 179Apr 2020: 7.7%; sample: 26May 2020: suppressed: fewer than twenty movements×Jun 2020: 7.7%; sample: 26Jul 2020: 5.3%; sample: 76Aug 2020: 16.3%; sample: 49Sep 2020: suppressed: fewer than twenty movements×Oct 2020: 13.2%; sample: 76Nov 2020: 26.1%; sample: 23Dec 2020: 33.3%; sample: 30Jan 2021: 14.3%; sample: 282021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: 0.0%; sample: 21Jun 2021: 8.5%; sample: 47Jul 2021: 15.9%; sample: 63Aug 2021: 4.0%; sample: 99Sep 2021: 18.8%; sample: 112Oct 2021: 15.3%; sample: 118Nov 2021: 16.2%; sample: 99Dec 2021: 11.4%; sample: 114Jan 2022: 3.0%; sample: 992022Feb 2022: 24.6%; sample: 138Mar 2022: 29.7%; sample: 158Apr 2022: 35.6%; sample: 191May 2022: 26.4%; sample: 201Jun 2022: 45.3%; sample: 181Jul 2022: 42.4%; sample: 144Aug 2022: 34.3%; sample: 143Sep 2022: 61.5%; sample: 179Oct 2022: 38.9%; sample: 198Nov 2022: 36.5%; sample: 219Dec 2022: 41.0%; sample: 217Jan 2023: 31.7%; sample: 1992023Feb 2023: 23.9%; sample: 197Mar 2023: 65.2%; sample: 247Apr 2023: 49.1%; sample: 222May 2023: 43.5%; sample: 248Jun 2023: 50.5%; sample: 222Jul 2023: 45.5%; sample: 211Aug 2023: 42.2%; sample: 223Sep 2023: 50.2%; sample: 211Oct 2023: 43.8%; sample: 235Nov 2023: 28.6%; sample: 259Dec 2023: 40.8%; sample: 240Jan 2024: 20.9%; sample: 2492024Feb 2024: 26.2%; sample: 248Mar 2024: 30.8%; sample: 266Apr 2024: 44.9%; sample: 305May 2024: 47.6%; sample: 319Jun 2024: 45.0%; sample: 298Jul 2024: 46.4%; sample: 306Aug 2024: 48.2%; sample: 309Sep 2024: 63.2%; sample: 302Oct 2024: 42.7%; sample: 323Nov 2024: 31.7%; sample: 306Dec 2024: 41.6%; sample: 293Jan 2025: 24.8%; sample: 2942025Feb 2025: 13.5%; sample: 274Mar 2025: 24.8%; sample: 306Apr 2025: 12.5%; sample: 288May 2025: 20.9%; sample: 302Jun 2025: 20.4%; sample: 284Jul 2025: 39.4%; sample: 297Aug 2025: 25.1%; sample: 291Sep 2025: 40.9%; sample: 286Oct 2025: 30.6%; sample: 301Nov 2025: 14.5%; sample: 296Dec 2025: 15.4%; sample: 285Jan 2026: 14.8%; sample: 2912026Feb 2026: 12.8%; sample: 273Mar 2026: 15.1%; sample: 311Apr 2026: 9.6%; sample: 302May 2026: 21.1%; sample: 294Jun 2026: 29.6%; sample: 284Pandemic 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 201820.5% of 224 movements
Feb 201830.2% of 225 movements
Mar 201820.4% of 255 movements
Apr 201829.4% of 235 movements
May 201832.0% of 244 movements
Jun 201829.1% of 237 movements
Jul 201831.4% of 236 movements
Aug 201827.2% of 235 movements
Sep 201821.6% of 227 movements
Oct 201837.6% of 258 movements
Nov 201838.9% of 239 movements
Dec 201840.4% of 225 movements
Jan 201911.2% of 240 movements
Feb 201917.3% of 237 movements
Mar 201928.1% of 263 movements
Apr 201914.7% of 252 movements
May 201913.7% of 248 movements
Jun 201920.0% of 250 movements
Jul 201932.3% of 257 movements
Aug 201925.7% of 257 movements
Sep 201932.2% of 227 movements
Oct 201929.1% of 261 movements
Nov 201923.3% of 253 movements
Dec 201935.5% of 251 movements
Jan 202016.4% of 238 movements
Feb 202044.0% of 243 movements
Mar 202021.2% of 179 movements
Apr 20207.7% of 26 movements — small sample, not ranked
May 2020suppressed: fewer than twenty movements
Jun 20207.7% of 26 movements — small sample, not ranked
Jul 20205.3% of 76 movements
Aug 202016.3% of 49 movements — small sample, not ranked
Sep 2020suppressed: fewer than twenty movements
Oct 202013.2% of 76 movements
Nov 202026.1% of 23 movements — small sample, not ranked
Dec 202033.3% of 30 movements — small sample, not ranked
Jan 202114.3% of 28 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 2021no events in 21 movements — small sample, not ranked
Jun 20218.5% of 47 movements — small sample, not ranked
Jul 202115.9% of 63 movements
Aug 20214.0% of 99 movements
Sep 202118.8% of 112 movements
Oct 202115.3% of 118 movements
Nov 202116.2% of 99 movements
Dec 202111.4% of 114 movements
Jan 20223.0% of 99 movements
Feb 202224.6% of 138 movements
Mar 202229.7% of 158 movements
Apr 202235.6% of 191 movements
May 202226.4% of 201 movements
Jun 202245.3% of 181 movements
Jul 202242.4% of 144 movements
Aug 202234.3% of 143 movements
Sep 202261.5% of 179 movements
Oct 202238.9% of 198 movements
Nov 202236.5% of 219 movements
Dec 202241.0% of 217 movements
Jan 202331.7% of 199 movements
Feb 202323.9% of 197 movements
Mar 202365.2% of 247 movements
Apr 202349.1% of 222 movements
May 202343.5% of 248 movements
Jun 202350.5% of 222 movements
Jul 202345.5% of 211 movements
Aug 202342.2% of 223 movements
Sep 202350.2% of 211 movements
Oct 202343.8% of 235 movements
Nov 202328.6% of 259 movements
Dec 202340.8% of 240 movements
Jan 202420.9% of 249 movements
Feb 202426.2% of 248 movements
Mar 202430.8% of 266 movements
Apr 202444.9% of 305 movements
May 202447.6% of 319 movements
Jun 202445.0% of 298 movements
Jul 202446.4% of 306 movements
Aug 202448.2% of 309 movements
Sep 202463.2% of 302 movements
Oct 202442.7% of 323 movements
Nov 202431.7% of 306 movements
Dec 202441.6% of 293 movements
Jan 202524.8% of 294 movements
Feb 202513.5% of 274 movements
Mar 202524.8% of 306 movements
Apr 202512.5% of 288 movements
May 202520.9% of 302 movements
Jun 202520.4% of 284 movements
Jul 202539.4% of 297 movements
Aug 202525.1% of 291 movements
Sep 202540.9% of 286 movements
Oct 202530.6% of 301 movements
Nov 202514.5% of 296 movements
Dec 202515.4% of 285 movements
Jan 202614.8% of 291 movements
Feb 202612.8% of 273 movements
Mar 202615.1% of 311 movements
Apr 20269.6% of 302 movements
May 202621.1% of 294 movements
Jun 202629.6% of 284 movements

What did the big disruptions actually do here?

Each named event below is shown against this route’s own baseline for the twelve months before it, and against how long the route took to get back to that baseline.

A month worse than baseline is not proof the named event caused it: the open data carry no delay-cause field at all. Some events sit near the edge of the archive, which limits how long a recovery can be traced.

EventDirectionDisruption that monthBaseline beforeReturn to baseline
Pandemic regime · Jun 2020Arrivals7.7% of 26 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures3.8% of 26 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals42.4% of 144 movements20.5% across 1,573 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures57.0% of 142 movements32.3% across 1,566 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals42.2% of 223 movements43.5% across 2,502 flightsreturned after 3 months
NATS system failure · Aug 2023Departures43.5% of 223 movements48.1% across 2,503 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals24.8% of 306 movements40.1% across 3,595 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures23.6% of 305 movements34.5% across 3,594 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, 45.6% of arrivals were disrupted, measured across 6 Septembers in the archive. January has been the calmest, at 20.5% across 7 Januarys.

Even September has ranged from 21.6% to 63.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201911.2% of 240 movements17.3% of 237 movements28.1% of 263 movements14.7% of 252 movements13.7% of 248 movements20.0% of 250 movements32.3% of 257 movements25.7% of 257 movements32.2% of 227 movements29.1% of 261 movements23.3% of 253 movements35.5% of 251 movements202016.4% of 238 movements44.0% of 243 movements21.2% of 179 movements7.7% of 26 movements †suppressed: fewer than twenty movements7.7% of 26 movements †5.3% of 76 movements16.3% of 49 movements †suppressed: fewer than twenty movements13.2% of 76 movements26.1% of 23 movements †33.3% of 30 movements †202114.3% of 28 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 21 movements †8.5% of 47 movements †15.9% of 63 movements4.0% of 99 movements18.8% of 112 movements15.3% of 118 movements16.2% of 99 movements11.4% of 114 movements20223.0% of 99 movements24.6% of 138 movements29.7% of 158 movements35.6% of 191 movements26.4% of 201 movements45.3% of 181 movements42.4% of 144 movements34.3% of 143 movements61.5% of 179 movements38.9% of 198 movements36.5% of 219 movements41.0% of 217 movements202331.7% of 199 movements23.9% of 197 movements65.2% of 247 movements49.1% of 222 movements43.5% of 248 movements50.5% of 222 movements45.5% of 211 movements42.2% of 223 movements50.2% of 211 movements43.8% of 235 movements28.6% of 259 movements40.8% of 240 movements202420.9% of 249 movements26.2% of 248 movements30.8% of 266 movements44.9% of 305 movements47.6% of 319 movements45.0% of 298 movements46.4% of 306 movements48.2% of 309 movements63.2% of 302 movements42.7% of 323 movements31.7% of 306 movements41.6% of 293 movements202524.8% of 294 movements13.5% of 274 movements24.8% of 306 movements12.5% of 288 movements20.9% of 302 movements20.4% of 284 movements39.4% of 297 movements25.1% of 291 movements40.9% of 286 movements30.6% of 301 movements14.5% of 296 movements15.4% of 285 movements202614.8% of 291 movements12.8% of 273 movements15.1% of 311 movements9.6% of 302 movements21.1% of 294 movements29.6% of 284 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan20.5%3.0–31.7%7 months, 1,596 flights
Feb23.9%12.8–30.2%7 months, 1,592 flights
Mar28.1%15.1–65.2%7 months, 1,806 flights
Apr29.4%9.6–49.1%7 months, 1,795 flights
May26.4%13.7–47.6%7 months, 1,856 flights
Jun29.6%20.0–50.5%7 months, 1,756 flights
Jul40.9%31.4–46.4%6 months, 1,451 flights
Aug30.7%25.1–48.2%6 months, 1,458 flights
Sep45.6%21.6–63.2%6 months, 1,432 flights
Oct38.2%29.1–43.8%6 months, 1,576 flights
Nov30.1%14.5–38.9%6 months, 1,572 flights
Dec40.6%15.4–41.6%6 months, 1,511 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: Vueling Airlines 17.2% of 721 movements, British Airways 23.7% of 2,788 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 Airways23.7% of 2,788 flightsVueling Airlines17.2% of 721 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
American Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ba Euroflyer British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways2,78823.7% of 2,788 movements1.1% of 2,788 movements0.4% of 2,788 movementsdescriptive comparison
Tam Linhas Aereassuppressed: 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
Virgin Atlantic Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Vueling Airlines72117.2% of 721 movements0.6% of 721 movementsno events in 721 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, NCL had the lowest disruption share at 14.9% of 194 movements and LCY the highest at 49.6% of 131 movements. This route sits at 22.4% of 3,511 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 optionBfs ↔ Barcelona18.1% of 105 flightsBhx ↔ Barcelona26.7% of 920 flightsBrs ↔ Barcelona32.6% of 895 flightsEdi ↔ Barcelona32.2% of 852 flightsEma ↔ Barcelona33.6% of 232 flightsGla ↔ Barcelona30.9% of 181 flightsLba ↔ Barcelona23.8% of 143 flightsLcy ↔ Barcelona49.6% of 131 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Barcelona10518.1% of 105 movementsno events in 105 movements1.0% of 105 movementsdescriptive comparison
Bhd ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Barcelona92026.7% of 920 movements0.2% of 920 movements0.7% of 920 movementsdescriptive comparison
Boh ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Barcelona89532.6% of 895 movements0.9% of 895 movements0.9% of 895 movementsdescriptive comparison
Cwl ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Barcelona85232.2% of 852 movements0.2% of 852 movements0.2% of 852 movementsdescriptive comparison
Ema ↔ Barcelona23233.6% of 232 movements0.4% of 232 movements0.4% of 232 movementsdescriptive comparison
Gla ↔ Barcelona18130.9% of 181 movementsno events in 181 movementsno events in 181 movementsdescriptive comparison
Jer ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Barcelona14323.8% of 143 movementsno events in 143 movements0.7% of 143 movementsdescriptive comparison
Lcy ↔ Barcelona13149.6% of 131 movements1.5% of 131 movements1.5% of 131 movementsdescriptive comparison
Lgw ↔ Barcelona3,99723.0% of 3,997 movements0.8% of 3,997 movements0.5% of 3,997 movementsdescriptive comparison
Lpl ↔ Barcelona35022.9% of 350 movements0.3% of 350 movements0.3% of 350 movementsdescriptive comparison
Ltn ↔ Barcelona1,15032.9% of 1,150 movements0.3% of 1,150 movements0.3% of 1,150 movementsdescriptive comparison
Man ↔ Barcelona1,82735.6% of 1,827 movements0.4% of 1,827 movements0.6% of 1,827 movementsdescriptive comparison
Ncl ↔ Barcelona19414.9% of 194 movements1.0% of 194 movements1.0% of 194 movementsdescriptive comparison
Sen ↔ Barcelona9627.1% of 96 movementsno events in 96 movementsno events in 96 movementsdescriptive comparison
Sou ↔ Barcelona6524.6% of 65 movements3.1% of 65 movements1.5% of 65 movementsdescriptive comparison
Stn ↔ Barcelona1,49033.1% of 1,490 movements0.2% of 1,490 movements0.7% of 1,490 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 22.4% of 3,511 movements disrupted, departures 25.9% of 3,510 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 LHR22.4% of 3,511 movements1.0% of 3,511 movements0.3% of 3,511 movements
Departures from LHR25.9% of 3,510 movements0.8% of 3,510 movements0.3% of 3,510 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 202681 flights out of 21,12881 × £220 = £17,820
ArrivalsLast 72 months · Jul 2020–Jun 202658 flights out of 14,56158 × £220 = £12,760
DeparturesWhole archive · Jan 2018–Jun 202661 flights out of 21,12261 × £220 = £13,420
DeparturesLast 72 months · Jul 2020–Jun 202644 flights out of 14,55244 × £220 = £9,680
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 / countryBARCELONA / SPAIN
Final point codesBCN / LEBL
Great-circle distance1,148 km
Maximum statutory amount for the band£220
Average operated arrivals per day9.53
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: 3,511; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

22.4% of 3,511 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.0% of 3,511 movements in the same window.

How many delays crossed three hours?

0.3% of 3,511 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?

1,148 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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