UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

MAN ↔ HEATHROW

In the twelve months from July 2025 to June 2026, 29.1% of 2,568 movements arriving into MAN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 70.9% of 2,568 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 642 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, 29.1% of 2,568 movements were disrupted and 0.6% of 2,568 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
29.1% of 2,568 movements0.6% of 2,568 movements19.9–49.0 min; N of delayed flights=732–1,6732,568
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: 0.6% of 2,568 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 min28.5%30 min14.4%60 min4.1%120 min0.6%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min28.5% of 2,568 movements7323.5
>30 min14.4% of 2,568 movements3716.9
>60 min4.1% of 2,568 movements10524.5
>120 min0.6% of 2,568 movements15171.2
>180 min0.2% of 2,568 movements4642.0
>360 minno events in 2,568 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 early803.1%15–1 early80031.2%0–15 late94136.6%16–3036114.1%31–6026610.4%61…120903.5%121…180110.4%181…36040.2%>36000.0%D=2,568
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0064; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Sep 2020, 10.7% of 56 movements. Worst month: Sep 2022, 62.5% of 80 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: 12.2%; sample: 2372018Feb 2018: 22.3%; sample: 220Mar 2018: 25.8%; sample: 236Apr 2018: 19.3%; sample: 223May 2018: 16.0%; sample: 231Jun 2018: 21.4%; sample: 220Jul 2018: 23.1%; sample: 221Aug 2018: 19.5%; sample: 215Sep 2018: 23.0%; sample: 204Oct 2018: 24.9%; sample: 229Nov 2018: 20.6%; sample: 209Dec 2018: 25.1%; sample: 227Jan 2019: 18.0%; sample: 2062019Feb 2019: 18.2%; sample: 187Mar 2019: 22.1%; sample: 226Apr 2019: 14.2%; sample: 176May 2019: 14.5%; sample: 179Jun 2019: 21.8%; sample: 165Jul 2019: 24.1%; sample: 174Aug 2019: 28.3%; sample: 173Sep 2019: 33.1%; sample: 163Oct 2019: 24.3%; sample: 181Nov 2019: 10.8%; sample: 194Dec 2019: 24.2%; sample: 186Jan 2020: 13.9%; sample: 1662020Feb 2020: 33.5%; sample: 188Mar 2020: 11.5%; sample: 156Apr 2020: 16.0%; sample: 25May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 7.7%; sample: 26Aug 2020: 0.0%; sample: 47Sep 2020: 10.7%; sample: 56Oct 2020: 29.5%; sample: 95Nov 2020: 18.9%; sample: 74Dec 2020: 27.4%; sample: 84Jan 2021: 31.6%; sample: 762021Feb 2021: 43.9%; sample: 57Mar 2021: 31.7%; sample: 63Apr 2021: 24.6%; sample: 61May 2021: 14.3%; sample: 49Jun 2021: 14.4%; sample: 97Jul 2021: 16.5%; sample: 79Aug 2021: 24.7%; sample: 93Sep 2021: 43.3%; sample: 90Oct 2021: 30.3%; sample: 132Nov 2021: 22.5%; sample: 151Dec 2021: 28.4%; sample: 148Jan 2022: 14.9%; sample: 1542022Feb 2022: 37.2%; sample: 145Mar 2022: 45.8%; sample: 155Apr 2022: 42.3%; sample: 149May 2022: 34.0%; sample: 153Jun 2022: 50.0%; sample: 150Jul 2022: 45.8%; sample: 118Aug 2022: 25.4%; sample: 71Sep 2022: 62.5%; sample: 80Oct 2022: 44.7%; sample: 103Nov 2022: 39.1%; sample: 197Dec 2022: 52.3%; sample: 199Jan 2023: 39.2%; sample: 1942023Feb 2023: 46.3%; sample: 175Mar 2023: 61.2%; sample: 196Apr 2023: 38.4%; sample: 151May 2023: 41.4%; sample: 162Jun 2023: 43.3%; sample: 150Jul 2023: 48.0%; sample: 150Aug 2023: 49.7%; sample: 157Sep 2023: 55.6%; sample: 162Oct 2023: 43.3%; sample: 180Nov 2023: 30.6%; sample: 222Dec 2023: 45.6%; sample: 215Jan 2024: 26.2%; sample: 2292024Feb 2024: 30.7%; sample: 218Mar 2024: 29.9%; sample: 231Apr 2024: 34.0%; sample: 203May 2024: 34.8%; sample: 204Jun 2024: 47.5%; sample: 177Jul 2024: 48.2%; sample: 193Aug 2024: 45.3%; sample: 190Sep 2024: 61.2%; sample: 188Oct 2024: 32.0%; sample: 222Nov 2024: 23.3%; sample: 283Dec 2024: 29.2%; sample: 253Jan 2025: 25.3%; sample: 2572025Feb 2025: 11.4%; sample: 229Mar 2025: 17.5%; sample: 251Apr 2025: 12.9%; sample: 194May 2025: 19.0%; sample: 195Jun 2025: 22.7%; sample: 176Jul 2025: 30.1%; sample: 183Aug 2025: 26.3%; sample: 167Sep 2025: 41.3%; sample: 189Oct 2025: 34.9%; sample: 218Nov 2025: 18.0%; sample: 256Dec 2025: 31.8%; sample: 264Jan 2026: 27.2%; sample: 2542026Feb 2026: 25.1%; sample: 223Mar 2026: 15.0%; sample: 254Apr 2026: 24.7%; sample: 194May 2026: 39.5%; sample: 185Jun 2026: 44.2%; sample: 181Pandemic 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 201812.2% of 237 movements
Feb 201822.3% of 220 movements
Mar 201825.8% of 236 movements
Apr 201819.3% of 223 movements
May 201816.0% of 231 movements
Jun 201821.4% of 220 movements
Jul 201823.1% of 221 movements
Aug 201819.5% of 215 movements
Sep 201823.0% of 204 movements
Oct 201824.9% of 229 movements
Nov 201820.6% of 209 movements
Dec 201825.1% of 227 movements
Jan 201918.0% of 206 movements
Feb 201918.2% of 187 movements
Mar 201922.1% of 226 movements
Apr 201914.2% of 176 movements
May 201914.5% of 179 movements
Jun 201921.8% of 165 movements
Jul 201924.1% of 174 movements
Aug 201928.3% of 173 movements
Sep 201933.1% of 163 movements
Oct 201924.3% of 181 movements
Nov 201910.8% of 194 movements
Dec 201924.2% of 186 movements
Jan 202013.9% of 166 movements
Feb 202033.5% of 188 movements
Mar 202011.5% of 156 movements
Apr 202016.0% of 25 movements — small sample, not ranked
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20207.7% of 26 movements — small sample, not ranked
Aug 2020no events in 47 movements — small sample, not ranked
Sep 202010.7% of 56 movements
Oct 202029.5% of 95 movements
Nov 202018.9% of 74 movements
Dec 202027.4% of 84 movements
Jan 202131.6% of 76 movements
Feb 202143.9% of 57 movements
Mar 202131.7% of 63 movements
Apr 202124.6% of 61 movements
May 202114.3% of 49 movements — small sample, not ranked
Jun 202114.4% of 97 movements
Jul 202116.5% of 79 movements
Aug 202124.7% of 93 movements
Sep 202143.3% of 90 movements
Oct 202130.3% of 132 movements
Nov 202122.5% of 151 movements
Dec 202128.4% of 148 movements
Jan 202214.9% of 154 movements
Feb 202237.2% of 145 movements
Mar 202245.8% of 155 movements
Apr 202242.3% of 149 movements
May 202234.0% of 153 movements
Jun 202250.0% of 150 movements
Jul 202245.8% of 118 movements
Aug 202225.4% of 71 movements
Sep 202262.5% of 80 movements
Oct 202244.7% of 103 movements
Nov 202239.1% of 197 movements
Dec 202252.3% of 199 movements
Jan 202339.2% of 194 movements
Feb 202346.3% of 175 movements
Mar 202361.2% of 196 movements
Apr 202338.4% of 151 movements
May 202341.4% of 162 movements
Jun 202343.3% of 150 movements
Jul 202348.0% of 150 movements
Aug 202349.7% of 157 movements
Sep 202355.6% of 162 movements
Oct 202343.3% of 180 movements
Nov 202330.6% of 222 movements
Dec 202345.6% of 215 movements
Jan 202426.2% of 229 movements
Feb 202430.7% of 218 movements
Mar 202429.9% of 231 movements
Apr 202434.0% of 203 movements
May 202434.8% of 204 movements
Jun 202447.5% of 177 movements
Jul 202448.2% of 193 movements
Aug 202445.3% of 190 movements
Sep 202461.2% of 188 movements
Oct 202432.0% of 222 movements
Nov 202423.3% of 283 movements
Dec 202429.2% of 253 movements
Jan 202525.3% of 257 movements
Feb 202511.4% of 229 movements
Mar 202517.5% of 251 movements
Apr 202512.9% of 194 movements
May 202519.0% of 195 movements
Jun 202522.7% of 176 movements
Jul 202530.1% of 183 movements
Aug 202526.3% of 167 movements
Sep 202541.3% of 189 movements
Oct 202534.9% of 218 movements
Nov 202518.0% of 256 movements
Dec 202531.8% of 264 movements
Jan 202627.2% of 254 movements
Feb 202625.1% of 223 movements
Mar 202615.0% of 254 movements
Apr 202624.7% of 194 movements
May 202639.5% of 185 movements
Jun 202644.2% of 181 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 2022Arrivals45.8% of 118 movements32.5% across 1,599 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures56.8% of 118 movements40.3% across 1,596 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals49.7% of 157 movements45.1% across 1,828 flightsreturned after 2 months
NATS system failure · Aug 2023Departures39.2% of 158 movements47.9% across 1,834 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals17.5% of 251 movements35.2% across 2,630 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures19.0% of 248 movements40.6% across 2,629 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, 48.4% of arrivals were disrupted, measured across 6 Septembers in the archive. November has been the calmest, at 21.9% across 6 Novembers.

Even September has ranged from 23.0% to 62.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201918.0% of 206 movements18.2% of 187 movements22.1% of 226 movements14.2% of 176 movements14.5% of 179 movements21.8% of 165 movements24.1% of 174 movements28.3% of 173 movements33.1% of 163 movements24.3% of 181 movements10.8% of 194 movements24.2% of 186 movements202013.9% of 166 movements33.5% of 188 movements11.5% of 156 movements16.0% of 25 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements7.7% of 26 movements †no events in 47 movements †10.7% of 56 movements29.5% of 95 movements18.9% of 74 movements27.4% of 84 movements202131.6% of 76 movements43.9% of 57 movements31.7% of 63 movements24.6% of 61 movements14.3% of 49 movements †14.4% of 97 movements16.5% of 79 movements24.7% of 93 movements43.3% of 90 movements30.3% of 132 movements22.5% of 151 movements28.4% of 148 movements202214.9% of 154 movements37.2% of 145 movements45.8% of 155 movements42.3% of 149 movements34.0% of 153 movements50.0% of 150 movements45.8% of 118 movements25.4% of 71 movements62.5% of 80 movements44.7% of 103 movements39.1% of 197 movements52.3% of 199 movements202339.2% of 194 movements46.3% of 175 movements61.2% of 196 movements38.4% of 151 movements41.4% of 162 movements43.3% of 150 movements48.0% of 150 movements49.7% of 157 movements55.6% of 162 movements43.3% of 180 movements30.6% of 222 movements45.6% of 215 movements202426.2% of 229 movements30.7% of 218 movements29.9% of 231 movements34.0% of 203 movements34.8% of 204 movements47.5% of 177 movements48.2% of 193 movements45.3% of 190 movements61.2% of 188 movements32.0% of 222 movements23.3% of 283 movements29.2% of 253 movements202525.3% of 257 movements11.4% of 229 movements17.5% of 251 movements12.9% of 194 movements19.0% of 195 movements22.7% of 176 movements30.1% of 183 movements26.3% of 167 movements41.3% of 189 movements34.9% of 218 movements18.0% of 256 movements31.8% of 264 movements202627.2% of 254 movements25.1% of 223 movements15.0% of 254 movements24.7% of 194 movements39.5% of 185 movements44.2% of 181 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.3%12.2–39.2%7 months, 1,531 flights
Feb25.1%11.4–46.3%7 months, 1,397 flights
Mar25.8%15.0–61.2%7 months, 1,549 flights
Apr24.7%12.9–42.3%7 months, 1,290 flights
May34.0%14.5–41.4%7 months, 1,309 flights
Jun43.3%21.4–50.0%7 months, 1,219 flights
Jul37.9%23.1–48.2%6 months, 1,039 flights
Aug27.3%19.5–49.7%6 months, 973 flights
Sep48.4%23.0–62.5%6 months, 986 flights
Oct33.4%24.3–44.7%6 months, 1,133 flights
Nov21.9%10.8–39.1%6 months, 1,361 flights
Dec30.5%24.2–52.3%6 months, 1,344 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?

Only one carrier published enough flights here to report: British Airways Plc, 29.1% of 2,566 movements disrupted.

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 Airways29.1% of 2,566 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aer Lingussuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways2,56629.1% of 2,566 movements0.6% of 2,566 movements0.2% of 2,566 movementsdescriptive comparison
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lufthansasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Singapore Airlinessuppressed: 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, NCL had the lowest disruption share at 18.6% of 1,838 movements and JER the highest at 23.5% of 1,081 movements. This route sits at 29.1% of 2,568 movements.

Each figure is arrivals into that UK airport, all carriers combined, over the same twelve months. It is a historical record, not a recommendation about where to fly from, and it says nothing about getting to or from each airport on the ground.

Observed disruption share by optionAbz ↔ Heathrow20.3% of 2,341 flightsBhd ↔ Heathrow19.6% of 2,266 flightsEdi ↔ Heathrow23.0% of 3,751 flightsGla ↔ Heathrow20.9% of 3,563 flightsIom ↔ Heathrow21.2% of 363 flightsJer ↔ Heathrow23.5% of 1,081 flightsNcl ↔ Heathrow18.6% of 1,838 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Heathrow2,34120.3% of 2,341 movements2.5% of 2,341 movements0.3% of 2,341 movementsdescriptive comparison
Bfs ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Heathrow2,26619.6% of 2,266 movements1.3% of 2,266 movements0.1% of 2,266 movementsdescriptive comparison
Bhx ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Heathrow3,75123.0% of 3,751 movements1.2% of 3,751 movements0.1% of 3,751 movementsdescriptive comparison
Ext ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Heathrow3,56320.9% of 3,563 movements1.0% of 3,563 movements0.1% of 3,563 movementsdescriptive comparison
Iom ↔ Heathrow36321.2% of 363 movements2.2% of 363 movements0.3% of 363 movementsdescriptive comparison
Jer ↔ Heathrow1,08123.5% of 1,081 movements0.8% of 1,081 movements0.5% of 1,081 movementsdescriptive comparison
Lba ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mme ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Heathrow1,83818.6% of 1,838 movements0.8% of 1,838 movementsno events in 1,838 movementsdescriptive comparison
Sou ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Barely: arrivals into MAN ran 29.1% of 2,568 movements disrupted, departures 31.3% of 2,564 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 MAN29.1% of 2,568 movements0.6% of 2,568 movements0.2% of 2,568 movements
Departures from MAN31.3% of 2,564 movements0.7% of 2,564 movements0.1% of 2,564 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 202630 flights out of 17,14430 × £220 = £6,600
ArrivalsLast 72 months · Jul 2020–Jun 202625 flights out of 11,72725 × £220 = £5,500
DeparturesWhole archive · Jan 2018–Jun 202669 flights out of 17,13569 × £220 = £15,180
DeparturesLast 72 months · Jul 2020–Jun 202654 flights out of 11,72054 × £220 = £11,880
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 airportMANCHESTER · MAN
Final point / countryHEATHROW / UNITED KINGDOM
Final point codesLHR / EGLL
Great-circle distance243 km
Maximum statutory amount for the band£220
Average operated arrivals per day6.99
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: 2,568; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

29.1% of 2,568 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.6% of 2,568 movements in the same window.

How many delays crossed three hours?

0.2% of 2,568 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?

243 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

Open the versioned claim register

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