UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ BRUSSELS

In the twelve months from July 2025 to June 2026, 29.6% of 2,416 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, 70.4% of 2,416 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 483 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, 29.6% of 2,416 movements were disrupted and 2.5% of 2,416 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
29.6% of 2,416 movements2.5% of 2,416 movements22.9–50.2 min; N of delayed flights=654–1,3292,416
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: 2.5% of 2,416 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 min27.1%30 min14.0%60 min5.0%120 min0.8%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min27.1% of 2,416 movements6543.7
>30 min14.0% of 2,416 movements3397.1
>60 min5.0% of 2,416 movements12120.0
>120 min0.8% of 2,416 movements20120.8
>180 min0.2% of 2,416 movements5483.2
>360 minno events in 2,416 movements0no observed events, which is not zero risk
Definitions, denominators and limits

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

Slightly late, or occasionally a disaster?

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 early2199.1%15–1 early80733.4%0–15 late67527.9%16–3031513.0%31–602189.0%61…1201014.2%121…180150.6%181…36050.2%>36000.0%D=2,416
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0094; 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: Jul 2021, 3.2% of 62 movements. Worst month: Jul 2022, 53.4% of 148 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: 27.3%; sample: 2452018Feb 2018: 31.2%; sample: 234Mar 2018: 30.8%; sample: 250Apr 2018: 28.5%; sample: 253May 2018: 19.8%; sample: 253Jun 2018: 20.7%; sample: 251Jul 2018: 26.4%; sample: 258Aug 2018: 16.4%; sample: 256Sep 2018: 17.7%; sample: 249Oct 2018: 39.1%; sample: 261Nov 2018: 27.0%; sample: 248Dec 2018: 30.3%; sample: 251Jan 2019: 10.8%; sample: 2412019Feb 2019: 21.1%; sample: 232Mar 2019: 32.0%; sample: 256Apr 2019: 28.3%; sample: 244May 2019: 20.5%; sample: 254Jun 2019: 30.0%; sample: 240Jul 2019: 28.3%; sample: 251Aug 2019: 23.5%; sample: 243Sep 2019: 29.4%; sample: 228Oct 2019: 27.6%; sample: 250Nov 2019: 17.5%; sample: 251Dec 2019: 24.6%; sample: 248Jan 2020: 15.4%; sample: 2342020Feb 2020: 42.7%; sample: 241Mar 2020: 17.0%; sample: 159Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 0.0%; sample: 29Aug 2020: 3.3%; sample: 30Sep 2020: 6.7%; sample: 30Oct 2020: 11.1%; sample: 90Nov 2020: 0.0%; sample: 39Dec 2020: 11.4%; sample: 35Jan 2021: 10.3%; sample: 292021Feb 2021: 20.8%; sample: 24Mar 2021: 34.6%; sample: 26Apr 2021: 7.7%; sample: 26May 2021: 7.4%; sample: 27Jun 2021: 6.5%; sample: 46Jul 2021: 3.2%; sample: 62Aug 2021: 17.7%; sample: 62Sep 2021: 11.9%; sample: 84Oct 2021: 10.5%; sample: 86Nov 2021: 15.0%; sample: 113Dec 2021: 17.9%; sample: 106Jan 2022: 11.7%; sample: 772022Feb 2022: 21.5%; sample: 79Mar 2022: 14.2%; sample: 127Apr 2022: 23.6%; sample: 165May 2022: 18.3%; sample: 180Jun 2022: 45.2%; sample: 177Jul 2022: 53.4%; sample: 148Aug 2022: 20.9%; sample: 134Sep 2022: 42.1%; sample: 140Oct 2022: 25.6%; sample: 160Nov 2022: 25.5%; sample: 212Dec 2022: 50.9%; sample: 216Jan 2023: 21.1%; sample: 2092023Feb 2023: 20.2%; sample: 213Mar 2023: 36.3%; sample: 226Apr 2023: 35.5%; sample: 183May 2023: 31.4%; sample: 204Jun 2023: 44.5%; sample: 173Jul 2023: 31.6%; sample: 190Aug 2023: 30.5%; sample: 203Sep 2023: 43.9%; sample: 187Oct 2023: 30.2%; sample: 215Nov 2023: 20.4%; sample: 250Dec 2023: 40.4%; sample: 228Jan 2024: 23.4%; sample: 2142024Feb 2024: 22.2%; sample: 234Mar 2024: 25.8%; sample: 252Apr 2024: 41.1%; sample: 192May 2024: 30.9%; sample: 204Jun 2024: 30.6%; sample: 196Jul 2024: 42.2%; sample: 211Aug 2024: 34.4%; sample: 212Sep 2024: 50.5%; sample: 202Oct 2024: 37.9%; sample: 198Nov 2024: 24.4%; sample: 234Dec 2024: 40.2%; sample: 241Jan 2025: 23.7%; sample: 2152025Feb 2025: 14.2%; sample: 219Mar 2025: 18.8%; sample: 229Apr 2025: 24.8%; sample: 202May 2025: 17.0%; sample: 223Jun 2025: 25.7%; sample: 210Jul 2025: 39.4%; sample: 213Aug 2025: 25.5%; sample: 208Sep 2025: 52.4%; sample: 208Oct 2025: 29.6%; sample: 216Nov 2025: 24.9%; sample: 213Dec 2025: 27.4%; sample: 223Jan 2026: 30.0%; sample: 2132026Feb 2026: 15.2%; sample: 197Mar 2026: 15.9%; sample: 214Apr 2026: 28.3%; sample: 173May 2026: 24.4%; sample: 172Jun 2026: 43.4%; sample: 166Pandemic 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 201827.3% of 245 movements
Feb 201831.2% of 234 movements
Mar 201830.8% of 250 movements
Apr 201828.5% of 253 movements
May 201819.8% of 253 movements
Jun 201820.7% of 251 movements
Jul 201826.4% of 258 movements
Aug 201816.4% of 256 movements
Sep 201817.7% of 249 movements
Oct 201839.1% of 261 movements
Nov 201827.0% of 248 movements
Dec 201830.3% of 251 movements
Jan 201910.8% of 241 movements
Feb 201921.1% of 232 movements
Mar 201932.0% of 256 movements
Apr 201928.3% of 244 movements
May 201920.5% of 254 movements
Jun 201930.0% of 240 movements
Jul 201928.3% of 251 movements
Aug 201923.5% of 243 movements
Sep 201929.4% of 228 movements
Oct 201927.6% of 250 movements
Nov 201917.5% of 251 movements
Dec 201924.6% of 248 movements
Jan 202015.4% of 234 movements
Feb 202042.7% of 241 movements
Mar 202017.0% of 159 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020no events in 29 movements — small sample, not ranked
Aug 20203.3% of 30 movements — small sample, not ranked
Sep 20206.7% of 30 movements — small sample, not ranked
Oct 202011.1% of 90 movements
Nov 2020no events in 39 movements — small sample, not ranked
Dec 202011.4% of 35 movements — small sample, not ranked
Jan 202110.3% of 29 movements — small sample, not ranked
Feb 202120.8% of 24 movements — small sample, not ranked
Mar 202134.6% of 26 movements — small sample, not ranked
Apr 20217.7% of 26 movements — small sample, not ranked
May 20217.4% of 27 movements — small sample, not ranked
Jun 20216.5% of 46 movements — small sample, not ranked
Jul 20213.2% of 62 movements
Aug 202117.7% of 62 movements
Sep 202111.9% of 84 movements
Oct 202110.5% of 86 movements
Nov 202115.0% of 113 movements
Dec 202117.9% of 106 movements
Jan 202211.7% of 77 movements
Feb 202221.5% of 79 movements
Mar 202214.2% of 127 movements
Apr 202223.6% of 165 movements
May 202218.3% of 180 movements
Jun 202245.2% of 177 movements
Jul 202253.4% of 148 movements
Aug 202220.9% of 134 movements
Sep 202242.1% of 140 movements
Oct 202225.6% of 160 movements
Nov 202225.5% of 212 movements
Dec 202250.9% of 216 movements
Jan 202321.1% of 209 movements
Feb 202320.2% of 213 movements
Mar 202336.3% of 226 movements
Apr 202335.5% of 183 movements
May 202331.4% of 204 movements
Jun 202344.5% of 173 movements
Jul 202331.6% of 190 movements
Aug 202330.5% of 203 movements
Sep 202343.9% of 187 movements
Oct 202330.2% of 215 movements
Nov 202320.4% of 250 movements
Dec 202340.4% of 228 movements
Jan 202423.4% of 214 movements
Feb 202422.2% of 234 movements
Mar 202425.8% of 252 movements
Apr 202441.1% of 192 movements
May 202430.9% of 204 movements
Jun 202430.6% of 196 movements
Jul 202442.2% of 211 movements
Aug 202434.4% of 212 movements
Sep 202450.5% of 202 movements
Oct 202437.9% of 198 movements
Nov 202424.4% of 234 movements
Dec 202440.2% of 241 movements
Jan 202523.7% of 215 movements
Feb 202514.2% of 219 movements
Mar 202518.8% of 229 movements
Apr 202524.8% of 202 movements
May 202517.0% of 223 movements
Jun 202525.7% of 210 movements
Jul 202539.4% of 213 movements
Aug 202525.5% of 208 movements
Sep 202552.4% of 208 movements
Oct 202529.6% of 216 movements
Nov 202524.9% of 213 movements
Dec 202527.4% of 223 movements
Jan 202630.0% of 213 movements
Feb 202615.2% of 197 movements
Mar 202615.9% of 214 movements
Apr 202628.3% of 173 movements
May 202624.4% of 172 movements
Jun 202643.4% of 166 movements

What did the big disruptions actually do here?

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

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

EventDirectionDisruption that monthBaseline beforeReturn to baseline
Pandemic regime · Jun 2020Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals53.4% of 148 movements17.6% across 1,318 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures74.1% of 147 movements29.0% across 1,314 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals30.5% of 203 movements32.1% across 2,260 flightsreturned after 2 months
NATS system failure · Aug 2023Departures54.2% of 203 movements51.4% across 2,261 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals18.8% of 229 movements33.0% across 2,576 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures26.1% of 230 movements34.4% across 2,572 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, 43.0% of arrivals were disrupted, measured across 6 Septembers in the archive. May has been the calmest, at 20.5% across 7 Mays.

Even September has ranged from 17.7% to 52.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201910.8% of 241 movements21.1% of 232 movements32.0% of 256 movements28.3% of 244 movements20.5% of 254 movements30.0% of 240 movements28.3% of 251 movements23.5% of 243 movements29.4% of 228 movements27.6% of 250 movements17.5% of 251 movements24.6% of 248 movements202015.4% of 234 movements42.7% of 241 movements17.0% of 159 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 29 movements †3.3% of 30 movements †6.7% of 30 movements †11.1% of 90 movementsno events in 39 movements †11.4% of 35 movements †202110.3% of 29 movements †20.8% of 24 movements †34.6% of 26 movements †7.7% of 26 movements †7.4% of 27 movements †6.5% of 46 movements †3.2% of 62 movements17.7% of 62 movements11.9% of 84 movements10.5% of 86 movements15.0% of 113 movements17.9% of 106 movements202211.7% of 77 movements21.5% of 79 movements14.2% of 127 movements23.6% of 165 movements18.3% of 180 movements45.2% of 177 movements53.4% of 148 movements20.9% of 134 movements42.1% of 140 movements25.6% of 160 movements25.5% of 212 movements50.9% of 216 movements202321.1% of 209 movements20.2% of 213 movements36.3% of 226 movements35.5% of 183 movements31.4% of 204 movements44.5% of 173 movements31.6% of 190 movements30.5% of 203 movements43.9% of 187 movements30.2% of 215 movements20.4% of 250 movements40.4% of 228 movements202423.4% of 214 movements22.2% of 234 movements25.8% of 252 movements41.1% of 192 movements30.9% of 204 movements30.6% of 196 movements42.2% of 211 movements34.4% of 212 movements50.5% of 202 movements37.9% of 198 movements24.4% of 234 movements40.2% of 241 movements202523.7% of 215 movements14.2% of 219 movements18.8% of 229 movements24.8% of 202 movements17.0% of 223 movements25.7% of 210 movements39.4% of 213 movements25.5% of 208 movements52.4% of 208 movements29.6% of 216 movements24.9% of 213 movements27.4% of 223 movements202630.0% of 213 movements15.2% of 197 movements15.9% of 214 movements28.3% of 173 movements24.4% of 172 movements43.4% of 166 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan23.4%10.8–30.0%7 months, 1,414 flights
Feb21.1%14.2–31.2%7 months, 1,408 flights
Mar25.8%14.2–36.3%7 months, 1,554 flights
Apr28.3%23.6–41.1%7 months, 1,412 flights
May20.5%17.0–31.4%7 months, 1,490 flights
Jun30.6%20.7–45.2%7 months, 1,413 flights
Jul35.5%26.4–53.4%6 months, 1,271 flights
Aug24.5%16.4–34.4%6 months, 1,256 flights
Sep43.0%17.7–52.4%6 months, 1,214 flights
Oct29.9%25.6–39.1%6 months, 1,300 flights
Nov24.6%17.5–27.0%6 months, 1,408 flights
Dec35.3%24.6–50.9%6 months, 1,407 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 29.0% of 1,297 movements, Brussels Airlines 30.3% of 1,119 movements. The gap between them sits inside sampling noise.

Figures cover arrivals, July 2025 to June 2026; lower is better in every column. Carriers with fewer than twenty published flights are suppressed rather than shown as zero. The page makes no ranking: the operations behind these shares are not matched for aircraft, time of day or season.

Observed disruption share by optionBritish Airways29.0% of 1,297 flightsBrussels Airlines30.3% of 1,119 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
British Airways1,29729.0% of 1,297 movements3.8% of 1,297 movements0.2% of 1,297 movementsdescriptive comparison
Brussels Airlines1,11930.3% of 1,119 movements1.1% of 1,119 movements0.2% of 1,119 movementsdescriptive comparison
Delta Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Thai Airways Internationalsuppressed: 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

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, MAN had the lowest disruption share at 29.0% of 631 movements and BHX the highest at 39.6% of 91 movements. This route sits at 29.6% of 2,416 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 ↔ Brussels39.6% of 91 flightsEdi ↔ Brussels31.7% of 230 flightsMan ↔ Brussels29.0% of 631 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Brussels9139.6% of 91 movements4.4% of 91 movementsno events in 91 movementsdescriptive comparison
Brs ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Brussels23031.7% of 230 movements0.4% of 230 movements0.9% of 230 movementsdescriptive comparison
Ema ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Brussels63129.0% of 631 movements0.8% of 631 movementsno events in 631 movementsdescriptive comparison
Ncl ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Brusselssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 29.6% of 2,416 movements disrupted, departures 34.8% of 2,420 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 LHR29.6% of 2,416 movements2.5% of 2,416 movements0.2% of 2,416 movements
Departures from LHR34.8% of 2,420 movements2.1% of 2,420 movements0.2% of 2,420 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 202640 flights out of 18,12840 × £220 = £8,800
ArrivalsLast 72 months · Jul 2020–Jun 202628 flights out of 11,54428 × £220 = £6,160
DeparturesWhole archive · Jan 2018–Jun 202642 flights out of 18,11942 × £220 = £9,240
DeparturesLast 72 months · Jul 2020–Jun 202636 flights out of 11,53436 × £220 = £7,920
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 / countryBRUSSELS / BELGIUM
Final point codesBRU / EBBR
Great-circle distance350 km
Maximum statutory amount for the band£220
Average operated arrivals per day6.45
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthJan 2018–Jun 2026
Months with operations in the archive100

origin_destination is the final point of the CAA service, not evidence of a nonstop connection. The distance joins the coordinates of the named airports; the actual track is unknown. Frequency describes published operations.

What this data cannot tell you

Delay cause is not published in the regulator's open data. Monthly aggregates describe a population, not a specific flight. Cells below twenty operations are suppressed; twenty to forty-nine are descriptive only and not ranked. Arrivals and departures do not add up. Cancellations are short-notice only, by the CAA definition. A movement is not the same as a scheduled flight.

0 operations (0.00%) excluded because their published percentages could not be reconciled to whole numbers. Excluded operations enter neither the numerator nor the denominator. Outcome figures and comparisons are unavailable when the excluded share exceeds fifteen percent.

Data-quality counters for this route

Zero observed events does not mean zero risk. Operator coverage against the Summary file is not established in this record; comparisons are limited to the published population.

Unmatched records: 0; all recorded operations: 2,416; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

29.6% of 2,416 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.5% of 2,416 movements in the same window.

How many delays crossed three hours?

0.2% of 2,416 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?

350 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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