UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ ROME FIUMICINO

In the twelve months from July 2025 to June 2026, 22.5% of 2,849 movements arriving into LHR were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 77.5% of 2,849 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 219 crossed the three-hour mark. Lower is better on every figure on this page. These numbers describe what happened on the route; they are not a prediction for any individual flight.

Definitions, denominators and limits
  • “Disrupted” means an arrival more than fifteen minutes late or a short-notice cancellation. The denominator is operated movements plus short-notice cancellations.
  • Arrivals into the UK airport only; all published carriers.
  • Crossing three hours is one condition for compensation, but monthly data cannot establish any individual passenger’s rights.
  • Delay cause is not published in the open data.
  • Source: CAA punctuality statistics · snapshot 17/08/2026 10:24 · method route-record-v2.1.

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

The four numbers at a glance

In the twelve months from July 2025 to June 2026, 22.5% of 2,849 movements were disrupted and 0.8% of 2,849 movements were cancelled at short notice.

When a flight was late, it was typically late by the range shown below. The delay is given as a range, not a single number, because the regulator rounds its published percentages and never says how many flights landed exactly on time.

Disruption shareShort-notice cancellationsAverage delay among delayed flights only — boundsOperations
22.5% of 2,849 movements0.8% of 2,849 movements24.9–61.0 min; N of delayed flights=617–1,3992,849
Definitions, denominators and limits

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

When it is late, how late is it?

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

Cancellations are counted separately: 0.8% of 2,849 movements. “One in N” means how many arrivals you would typically see between events at that level.

Delay threshold ladder; count and share of known operations15 min21.7%30 min11.7%60 min4.8%120 min1.2%180 min0.5%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min21.7% of 2,849 movements6174.6
>30 min11.7% of 2,849 movements3338.6
>60 min4.8% of 2,849 movements13820.6
>120 min1.2% of 2,849 movements3386.3
>180 min0.5% of 2,849 movements13219.2
>360 min0.1% of 2,849 movements3949.7
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?

This route runs late less often than most, but when it does go wrong it tends to go badly wrong: its long delays are heavier 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 early43315.2%15–1 early99334.9%0–15 late78227.4%16–3028410.0%31–601956.8%61…1201053.7%121…180200.7%181…360100.4%>36030.1%D=2,849
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0271; 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: Jun 2021, no events in 80 movements. Worst month: Jul 2024, 64.4% of 225 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: 28.9%; sample: 2532018Feb 2018: 20.4%; sample: 240Mar 2018: 23.9%; sample: 285Apr 2018: 22.8%; sample: 324May 2018: 26.5%; sample: 328Jun 2018: 32.8%; sample: 320Jul 2018: 39.7%; sample: 325Aug 2018: 29.1%; sample: 327Sep 2018: 21.0%; sample: 319Oct 2018: 31.9%; sample: 335Nov 2018: 29.1%; sample: 278Dec 2018: 43.3%; sample: 289Jan 2019: 12.2%; sample: 2702019Feb 2019: 17.2%; sample: 262Mar 2019: 27.7%; sample: 300Apr 2019: 12.6%; sample: 302May 2019: 13.1%; sample: 283Jun 2019: 23.3%; sample: 275Jul 2019: 29.2%; sample: 284Aug 2019: 28.6%; sample: 283Sep 2019: 28.3%; sample: 258Oct 2019: 30.1%; sample: 282Nov 2019: 18.8%; sample: 245Dec 2019: 24.1%; sample: 237Jan 2020: 15.1%; sample: 2322020Feb 2020: 43.2%; sample: 227Mar 2020: 13.9%; sample: 180Apr 2020: 2.7%; sample: 111May 2020: 1.1%; sample: 93Jun 2020: 4.5%; sample: 66Jul 2020: 3.3%; sample: 151Aug 2020: 3.2%; sample: 157Sep 2020: 0.8%; sample: 127Oct 2020: 1.1%; sample: 174Nov 2020: 1.9%; sample: 54Dec 2020: 20.7%; sample: 58Jan 2021: 19.0%; sample: 422021Feb 2021: 43.8%; sample: 32Mar 2021: 15.4%; sample: 39Apr 2021: 2.7%; sample: 74May 2021: 8.1%; sample: 74Jun 2021: 0.0%; sample: 80Jul 2021: 4.1%; sample: 98Aug 2021: 10.0%; sample: 100Sep 2021: 12.8%; sample: 117Oct 2021: 12.0%; sample: 92Nov 2021: 8.9%; sample: 90Dec 2021: 15.2%; sample: 92Jan 2022: 2.5%; sample: 792022Feb 2022: 22.3%; sample: 139Mar 2022: 14.9%; sample: 181Apr 2022: 17.5%; sample: 228May 2022: 25.2%; sample: 206Jun 2022: 33.3%; sample: 168Jul 2022: 27.5%; sample: 178Aug 2022: 17.6%; sample: 205Sep 2022: 37.8%; sample: 225Oct 2022: 21.7%; sample: 240Nov 2022: 20.0%; sample: 200Dec 2022: 30.8%; sample: 195Jan 2023: 21.7%; sample: 1802023Feb 2023: 19.3%; sample: 197Mar 2023: 52.0%; sample: 227Apr 2023: 37.0%; sample: 216May 2023: 34.2%; sample: 234Jun 2023: 44.4%; sample: 223Jul 2023: 40.1%; sample: 227Aug 2023: 42.3%; sample: 239Sep 2023: 40.3%; sample: 233Oct 2023: 37.3%; sample: 241Nov 2023: 33.3%; sample: 198Dec 2023: 39.1%; sample: 202Jan 2024: 18.5%; sample: 2052024Feb 2024: 27.9%; sample: 190Mar 2024: 31.6%; sample: 209Apr 2024: 40.4%; sample: 230May 2024: 46.1%; sample: 230Jun 2024: 47.3%; sample: 220Jul 2024: 64.4%; sample: 225Aug 2024: 48.4%; sample: 225Sep 2024: 62.1%; sample: 219Oct 2024: 40.7%; sample: 241Nov 2024: 26.5%; sample: 223Dec 2024: 35.7%; sample: 221Jan 2025: 24.4%; sample: 2092025Feb 2025: 6.8%; sample: 207Mar 2025: 17.9%; sample: 234Apr 2025: 15.7%; sample: 261May 2025: 20.6%; sample: 257Jun 2025: 27.6%; sample: 239Jul 2025: 39.0%; sample: 236Aug 2025: 19.5%; sample: 241Sep 2025: 32.2%; sample: 242Oct 2025: 31.6%; sample: 253Nov 2025: 13.0%; sample: 185Dec 2025: 16.2%; sample: 191Jan 2026: 22.6%; sample: 1902026Feb 2026: 8.8%; sample: 170Mar 2026: 9.6%; sample: 208Apr 2026: 14.1%; sample: 320May 2026: 22.0%; sample: 318Jun 2026: 32.5%; sample: 295Pandemic 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 201828.9% of 253 movements
Feb 201820.4% of 240 movements
Mar 201823.9% of 285 movements
Apr 201822.8% of 324 movements
May 201826.5% of 328 movements
Jun 201832.8% of 320 movements
Jul 201839.7% of 325 movements
Aug 201829.1% of 327 movements
Sep 201821.0% of 319 movements
Oct 201831.9% of 335 movements
Nov 201829.1% of 278 movements
Dec 201843.3% of 289 movements
Jan 201912.2% of 270 movements
Feb 201917.2% of 262 movements
Mar 201927.7% of 300 movements
Apr 201912.6% of 302 movements
May 201913.1% of 283 movements
Jun 201923.3% of 275 movements
Jul 201929.2% of 284 movements
Aug 201928.6% of 283 movements
Sep 201928.3% of 258 movements
Oct 201930.1% of 282 movements
Nov 201918.8% of 245 movements
Dec 201924.1% of 237 movements
Jan 202015.1% of 232 movements
Feb 202043.2% of 227 movements
Mar 202013.9% of 180 movements
Apr 20202.7% of 111 movements
May 20201.1% of 93 movements
Jun 20204.5% of 66 movements
Jul 20203.3% of 151 movements
Aug 20203.2% of 157 movements
Sep 20200.8% of 127 movements
Oct 20201.1% of 174 movements
Nov 20201.9% of 54 movements
Dec 202020.7% of 58 movements
Jan 202119.0% of 42 movements — small sample, not ranked
Feb 202143.8% of 32 movements — small sample, not ranked
Mar 202115.4% of 39 movements — small sample, not ranked
Apr 20212.7% of 74 movements
May 20218.1% of 74 movements
Jun 2021no events in 80 movements
Jul 20214.1% of 98 movements
Aug 202110.0% of 100 movements
Sep 202112.8% of 117 movements
Oct 202112.0% of 92 movements
Nov 20218.9% of 90 movements
Dec 202115.2% of 92 movements
Jan 20222.5% of 79 movements
Feb 202222.3% of 139 movements
Mar 202214.9% of 181 movements
Apr 202217.5% of 228 movements
May 202225.2% of 206 movements
Jun 202233.3% of 168 movements
Jul 202227.5% of 178 movements
Aug 202217.6% of 205 movements
Sep 202237.8% of 225 movements
Oct 202221.7% of 240 movements
Nov 202220.0% of 200 movements
Dec 202230.8% of 195 movements
Jan 202321.7% of 180 movements
Feb 202319.3% of 197 movements
Mar 202352.0% of 227 movements
Apr 202337.0% of 216 movements
May 202334.2% of 234 movements
Jun 202344.4% of 223 movements
Jul 202340.1% of 227 movements
Aug 202342.3% of 239 movements
Sep 202340.3% of 233 movements
Oct 202337.3% of 241 movements
Nov 202333.3% of 198 movements
Dec 202339.1% of 202 movements
Jan 202418.5% of 205 movements
Feb 202427.9% of 190 movements
Mar 202431.6% of 209 movements
Apr 202440.4% of 230 movements
May 202446.1% of 230 movements
Jun 202447.3% of 220 movements
Jul 202464.4% of 225 movements
Aug 202448.4% of 225 movements
Sep 202462.1% of 219 movements
Oct 202440.7% of 241 movements
Nov 202426.5% of 223 movements
Dec 202435.7% of 221 movements
Jan 202524.4% of 209 movements
Feb 20256.8% of 207 movements
Mar 202517.9% of 234 movements
Apr 202515.7% of 261 movements
May 202520.6% of 257 movements
Jun 202527.6% of 239 movements
Jul 202539.0% of 236 movements
Aug 202519.5% of 241 movements
Sep 202532.2% of 242 movements
Oct 202531.6% of 253 movements
Nov 202513.0% of 185 movements
Dec 202516.2% of 191 movements
Jan 202622.6% of 190 movements
Feb 20268.8% of 170 movements
Mar 20269.6% of 208 movements
Apr 202614.1% of 320 movements
May 202622.0% of 318 movements
Jun 202632.5% of 295 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 2020Arrivals4.5% of 66 movements21.5% across 2,707 flightsreturned the next month
Pandemic regime · Jun 2020Departures12.1% of 66 movements20.3% across 2,715 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals27.5% of 178 movements14.9% across 1,590 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures53.9% of 178 movements28.4% across 1,579 flightsreturned the next month
NATS system failure · Aug 2023Arrivals42.3% of 239 movements31.4% across 2,569 flightsreturned after 5 months
NATS system failure · Aug 2023Departures46.0% of 237 movements40.7% across 2,569 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals17.9% of 234 movements39.5% across 2,659 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures25.2% of 234 movements31.6% across 2,659 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?

July has historically been the hardest month on this route: in a typical July, 39.3% of arrivals were disrupted, measured across 6 Julys in the archive. April has been the calmest, at 17.5% across 7 Aprils.

Even July has ranged from 27.5% to 64.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201912.2% of 270 movements17.2% of 262 movements27.7% of 300 movements12.6% of 302 movements13.1% of 283 movements23.3% of 275 movements29.2% of 284 movements28.6% of 283 movements28.3% of 258 movements30.1% of 282 movements18.8% of 245 movements24.1% of 237 movements202015.1% of 232 movements43.2% of 227 movements13.9% of 180 movements2.7% of 111 movements1.1% of 93 movements4.5% of 66 movements3.3% of 151 movements3.2% of 157 movements0.8% of 127 movements1.1% of 174 movements1.9% of 54 movements20.7% of 58 movements202119.0% of 42 movements †43.8% of 32 movements †15.4% of 39 movements †2.7% of 74 movements8.1% of 74 movementsno events in 80 movements4.1% of 98 movements10.0% of 100 movements12.8% of 117 movements12.0% of 92 movements8.9% of 90 movements15.2% of 92 movements20222.5% of 79 movements22.3% of 139 movements14.9% of 181 movements17.5% of 228 movements25.2% of 206 movements33.3% of 168 movements27.5% of 178 movements17.6% of 205 movements37.8% of 225 movements21.7% of 240 movements20.0% of 200 movements30.8% of 195 movements202321.7% of 180 movements19.3% of 197 movements52.0% of 227 movements37.0% of 216 movements34.2% of 234 movements44.4% of 223 movements40.1% of 227 movements42.3% of 239 movements40.3% of 233 movements37.3% of 241 movements33.3% of 198 movements39.1% of 202 movements202418.5% of 205 movements27.9% of 190 movements31.6% of 209 movements40.4% of 230 movements46.1% of 230 movements47.3% of 220 movements64.4% of 225 movements48.4% of 225 movements62.1% of 219 movements40.7% of 241 movements26.5% of 223 movements35.7% of 221 movements202524.4% of 209 movements6.8% of 207 movements17.9% of 234 movements15.7% of 261 movements20.6% of 257 movements27.6% of 239 movements39.0% of 236 movements19.5% of 241 movements32.2% of 242 movements31.6% of 253 movements13.0% of 185 movements16.2% of 191 movements202622.6% of 190 movements8.8% of 170 movements9.6% of 208 movements14.1% of 320 movements22.0% of 318 movements32.5% of 295 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan21.7%2.5–28.9%7 months, 1,386 flights
Feb19.3%6.8–27.9%7 months, 1,405 flights
Mar23.9%9.6–52.0%7 months, 1,644 flights
Apr17.5%12.6–40.4%7 months, 1,881 flights
May25.2%13.1–46.1%7 months, 1,856 flights
Jun32.8%23.3–47.3%7 months, 1,740 flights
Jul39.3%27.5–64.4%6 months, 1,475 flights
Aug28.8%17.6–48.4%6 months, 1,520 flights
Sep35.0%21.0–62.1%6 months, 1,496 flights
Oct31.8%21.7–40.7%6 months, 1,592 flights
Nov23.2%13.0–33.3%6 months, 1,329 flights
Dec33.3%16.2–43.3%6 months, 1,335 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: Italia Traspoto Aereo 14.4% of 187 movements, British Airways 23.1% of 2,657 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 Airways23.1% of 2,657 flightsItalia Traspoto Aereo14.4% of 187 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
(Ita) Italia Traspoto Aereosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Air Canadasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Alitalia (Cai)suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
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
Biman Bangladesh Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways2,65723.1% of 2,657 movements0.9% of 2,657 movements0.5% of 2,657 movementsdescriptive comparison
Delta Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Italia Traspoto Aereo18714.4% of 187 movementsno events in 187 movementsno events in 187 movementsdescriptive comparison
Royal Jordaniansuppressed: 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
Vueling 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, LCY had the lowest disruption share at 10.4% of 432 movements and STN the highest at 58.8% of 131 movements. This route sits at 22.5% of 2,849 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 ↔ Rome-Fiumicino36.3% of 468 flightsBrs ↔ Rome-Fiumicino32.4% of 346 flightsEdi ↔ Rome-Fiumicino57.1% of 98 flightsGla ↔ Rome-Fiumicino27.3% of 278 flightsLba ↔ Rome-Fiumicino44.1% of 93 flightsLcy ↔ Rome-Fiumicino10.4% of 432 flightsLgw ↔ Rome-Fiumicino36.9% of 1,649 flightsLtn ↔ Rome-Fiumicino27.9% of 513 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Rome-Fiumicinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Rome-Fiumicinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Rome-Fiumicino46836.3% of 468 movementsno events in 468 movements0.4% of 468 movementsdescriptive comparison
Boh ↔ Rome-Fiumicinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Rome-Fiumicino34632.4% of 346 movements0.3% of 346 movements0.3% of 346 movementsdescriptive comparison
Cwl ↔ Rome-Fiumicinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Rome-Fiumicino9857.1% of 98 movementsno events in 98 movements1.0% of 98 movementsdescriptive comparison
Ema ↔ Rome-Fiumicinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Rome-Fiumicinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Rome-Fiumicino27827.3% of 278 movements0.4% of 278 movements0.7% of 278 movementsdescriptive comparison
Lba ↔ Rome-Fiumicino9344.1% of 93 movementsno events in 93 movements2.2% of 93 movementsdescriptive comparison
Lcy ↔ Rome-Fiumicino43210.4% of 432 movements0.5% of 432 movementsno events in 432 movementsdescriptive comparison
Lgw ↔ Rome-Fiumicino1,64936.9% of 1,649 movements0.3% of 1,649 movements0.7% of 1,649 movementsdescriptive comparison
Lpl ↔ Rome-Fiumicinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Rome-Fiumicino51327.9% of 513 movements0.6% of 513 movements0.6% of 513 movementsdescriptive comparison
Man ↔ Rome-Fiumicino43239.1% of 432 movements0.2% of 432 movements0.5% of 432 movementsdescriptive comparison
Ncl ↔ Rome-Fiumicino10929.4% of 109 movementsno events in 109 movementsno events in 109 movementsdescriptive comparison
Sen ↔ Rome-Fiumicinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Rome-Fiumicinosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Rome-Fiumicino13158.8% of 131 movementsno events in 131 movementsno events in 131 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 22.5% of 2,849 movements disrupted, departures 25.8% of 2,847 movements.

It matters legally as well as practically: a departure from the UK and an arrival into the UK on a UK or EU carrier fall under different conditions, and a departure delay does not establish a late arrival at your final destination.

Arrivals and departures side by side
DirectionDisruptionCancellationsOver three hours
Arrivals into LHR22.5% of 2,849 movements0.8% of 2,849 movements0.5% of 2,849 movements
Departures from LHR25.8% of 2,847 movements0.7% of 2,847 movements0.2% of 2,847 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 202679 flights out of 21,21979 × £220 = £17,380
ArrivalsLast 72 months · Jul 2020–Jun 202653 flights out of 13,40653 × £220 = £11,660
DeparturesWhole archive · Jan 2018–Jun 202650 flights out of 21,20550 × £220 = £11,000
DeparturesLast 72 months · Jul 2020–Jun 202629 flights out of 13,38429 × £220 = £6,380
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 / countryROME (FIUMICINO) / ITALY
Final point codesFCO / LIRF
Great-circle distance1,444 km
Maximum statutory amount for the band£220
Average operated arrivals per day7.74
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthJan 2018–Jun 2026
Months with operations in the archive102

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

What this data cannot tell you

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

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

Data-quality counters for this route

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

Unmatched records: 0; all recorded operations: 2,849; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

22.5% of 2,849 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.8% of 2,849 movements in the same window.

How many delays crossed three hours?

0.5% of 2,849 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

rare but severe. The class compares the tail with short delays across routes in the corpus.

What distance is used?

1,444 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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