UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

NCL ↔ HEATHROW

In the twelve months from July 2025 to June 2026, 18.6% of 1,838 movements arriving into NCL were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 81.4% of 1,838 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: no such event in this sample, which does not mean zero risk 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, 18.6% of 1,838 movements were disrupted and 0.8% of 1,838 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
18.6% of 1,838 movements0.8% of 1,838 movements18.5–53.1 min; N of delayed flights=328–8441,838
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 1,838 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 min17.8%30 min9.4%60 min2.9%120 min0.4%180 min0.0%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min17.8% of 1,838 movements3285.6
>30 min9.4% of 1,838 movements17310.6
>60 min2.9% of 1,838 movements5434.0
>120 min0.4% of 1,838 movements7262.6
>180 minno events in 1,838 movements0no observed events, which is not zero risk
>360 minno events in 1,838 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 early1488.1%15–1 early83245.3%0–15 late51628.1%16–301558.4%31–601196.5%61…120472.6%121…18070.4%181…36000.0%>36000.0%D=1,838
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0000; 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: Aug 2021, 4.8% of 62 movements. Worst month: Sep 2022, 71.4% of 84 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: 15.0%; sample: 1872018Feb 2018: 18.9%; sample: 164Mar 2018: 19.6%; sample: 179Apr 2018: 18.1%; sample: 166May 2018: 19.3%; sample: 171Jun 2018: 26.3%; sample: 156Jul 2018: 30.9%; sample: 149Aug 2018: 21.3%; sample: 150Sep 2018: 20.6%; sample: 180Oct 2018: 23.5%; sample: 196Nov 2018: 26.1%; sample: 142Dec 2018: 25.0%; sample: 120Jan 2019: 14.2%; sample: 1202019Feb 2019: 17.1%; sample: 117Mar 2019: 25.3%; sample: 146Apr 2019: 20.7%; sample: 150May 2019: 21.1%; sample: 152Jun 2019: 29.6%; sample: 135Jul 2019: 26.6%; sample: 143Aug 2019: 40.4%; sample: 141Sep 2019: 35.8%; sample: 134Oct 2019: 22.7%; sample: 150Nov 2019: 15.0%; sample: 140Dec 2019: 26.0%; sample: 127Jan 2020: 10.2%; sample: 1182020Feb 2020: 37.4%; sample: 123Mar 2020: 6.1%; sample: 115Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: 4.5%; sample: 22Sep 2020: 14.3%; sample: 21Oct 2020: 7.7%; sample: 65Nov 2020: 30.0%; sample: 30Dec 2020: 12.2%; sample: 41Jan 2021: 17.1%; sample: 352021Feb 2021: 19.0%; sample: 21Mar 2021: 4.8%; sample: 21Apr 2021: 9.1%; sample: 22May 2021: 2.6%; sample: 39Jun 2021: 5.4%; sample: 56Jul 2021: 11.7%; sample: 60Aug 2021: 4.8%; sample: 62Sep 2021: 25.0%; sample: 60Oct 2021: 13.2%; sample: 76Nov 2021: 18.9%; sample: 90Dec 2021: 24.1%; sample: 87Jan 2022: 5.4%; sample: 932022Feb 2022: 30.2%; sample: 86Mar 2022: 31.7%; sample: 101Apr 2022: 41.7%; sample: 127May 2022: 30.1%; sample: 153Jun 2022: 48.5%; sample: 136Jul 2022: 54.1%; sample: 85Aug 2022: 33.8%; sample: 74Sep 2022: 71.4%; sample: 84Oct 2022: 55.4%; sample: 112Nov 2022: 38.8%; sample: 160Dec 2022: 47.8%; sample: 159Jan 2023: 37.2%; sample: 1642023Feb 2023: 37.3%; sample: 134Mar 2023: 55.2%; sample: 145Apr 2023: 43.5%; sample: 131May 2023: 43.3%; sample: 141Jun 2023: 43.9%; sample: 123Jul 2023: 51.6%; sample: 122Aug 2023: 47.4%; sample: 135Sep 2023: 50.8%; sample: 122Oct 2023: 31.8%; sample: 132Nov 2023: 20.3%; sample: 148Dec 2023: 38.6%; sample: 153Jan 2024: 16.6%; sample: 1632024Feb 2024: 16.9%; sample: 160Mar 2024: 23.4%; sample: 158Apr 2024: 42.0%; sample: 150May 2024: 41.7%; sample: 175Jun 2024: 47.3%; sample: 150Jul 2024: 55.3%; sample: 141Aug 2024: 42.8%; sample: 138Sep 2024: 58.4%; sample: 137Oct 2024: 30.1%; sample: 156Nov 2024: 18.5%; sample: 189Dec 2024: 27.3%; sample: 205Jan 2025: 21.8%; sample: 2022025Feb 2025: 6.9%; sample: 188Mar 2025: 24.9%; sample: 201Apr 2025: 14.1%; sample: 149May 2025: 26.1%; sample: 134Jun 2025: 20.0%; sample: 140Jul 2025: 26.4%; sample: 159Aug 2025: 22.3%; sample: 121Sep 2025: 38.4%; sample: 125Oct 2025: 20.8%; sample: 149Nov 2025: 7.2%; sample: 167Dec 2025: 14.7%; sample: 170Jan 2026: 19.1%; sample: 1732026Feb 2026: 6.5%; sample: 154Mar 2026: 7.1%; sample: 170Apr 2026: 10.4%; sample: 164May 2026: 24.2%; sample: 161Jun 2026: 36.8%; sample: 125Pandemic 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 201815.0% of 187 movements
Feb 201818.9% of 164 movements
Mar 201819.6% of 179 movements
Apr 201818.1% of 166 movements
May 201819.3% of 171 movements
Jun 201826.3% of 156 movements
Jul 201830.9% of 149 movements
Aug 201821.3% of 150 movements
Sep 201820.6% of 180 movements
Oct 201823.5% of 196 movements
Nov 201826.1% of 142 movements
Dec 201825.0% of 120 movements
Jan 201914.2% of 120 movements
Feb 201917.1% of 117 movements
Mar 201925.3% of 146 movements
Apr 201920.7% of 150 movements
May 201921.1% of 152 movements
Jun 201929.6% of 135 movements
Jul 201926.6% of 143 movements
Aug 201940.4% of 141 movements
Sep 201935.8% of 134 movements
Oct 201922.7% of 150 movements
Nov 201915.0% of 140 movements
Dec 201926.0% of 127 movements
Jan 202010.2% of 118 movements
Feb 202037.4% of 123 movements
Mar 20206.1% of 115 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 20204.5% of 22 movements — small sample, not ranked
Sep 202014.3% of 21 movements — small sample, not ranked
Oct 20207.7% of 65 movements
Nov 202030.0% of 30 movements — small sample, not ranked
Dec 202012.2% of 41 movements — small sample, not ranked
Jan 202117.1% of 35 movements — small sample, not ranked
Feb 202119.0% of 21 movements — small sample, not ranked
Mar 20214.8% of 21 movements — small sample, not ranked
Apr 20219.1% of 22 movements — small sample, not ranked
May 20212.6% of 39 movements — small sample, not ranked
Jun 20215.4% of 56 movements
Jul 202111.7% of 60 movements
Aug 20214.8% of 62 movements
Sep 202125.0% of 60 movements
Oct 202113.2% of 76 movements
Nov 202118.9% of 90 movements
Dec 202124.1% of 87 movements
Jan 20225.4% of 93 movements
Feb 202230.2% of 86 movements
Mar 202231.7% of 101 movements
Apr 202241.7% of 127 movements
May 202230.1% of 153 movements
Jun 202248.5% of 136 movements
Jul 202254.1% of 85 movements
Aug 202233.8% of 74 movements
Sep 202271.4% of 84 movements
Oct 202255.4% of 112 movements
Nov 202238.8% of 160 movements
Dec 202247.8% of 159 movements
Jan 202337.2% of 164 movements
Feb 202337.3% of 134 movements
Mar 202355.2% of 145 movements
Apr 202343.5% of 131 movements
May 202343.3% of 141 movements
Jun 202343.9% of 123 movements
Jul 202351.6% of 122 movements
Aug 202347.4% of 135 movements
Sep 202350.8% of 122 movements
Oct 202331.8% of 132 movements
Nov 202320.3% of 148 movements
Dec 202338.6% of 153 movements
Jan 202416.6% of 163 movements
Feb 202416.9% of 160 movements
Mar 202423.4% of 158 movements
Apr 202442.0% of 150 movements
May 202441.7% of 175 movements
Jun 202447.3% of 150 movements
Jul 202455.3% of 141 movements
Aug 202442.8% of 138 movements
Sep 202458.4% of 137 movements
Oct 202430.1% of 156 movements
Nov 202418.5% of 189 movements
Dec 202427.3% of 205 movements
Jan 202521.8% of 202 movements
Feb 20256.9% of 188 movements
Mar 202524.9% of 201 movements
Apr 202514.1% of 149 movements
May 202526.1% of 134 movements
Jun 202520.0% of 140 movements
Jul 202526.4% of 159 movements
Aug 202522.3% of 121 movements
Sep 202538.4% of 125 movements
Oct 202520.8% of 149 movements
Nov 20257.2% of 167 movements
Dec 202514.7% of 170 movements
Jan 202619.1% of 173 movements
Feb 20266.5% of 154 movements
Mar 20267.1% of 170 movements
Apr 202610.4% of 164 movements
May 202624.2% of 161 movements
Jun 202636.8% of 125 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 2022Arrivals54.1% of 85 movements23.8% across 1,131 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures62.4% of 85 movements23.9% across 1,134 flightsreturned after 7 months
NATS system failure · Aug 2023Arrivals47.4% of 135 movements46.6% across 1,549 flightsreturned after 2 months
NATS system failure · Aug 2023Departures37.3% of 134 movements33.4% across 1,547 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals24.9% of 201 movements34.6% across 1,989 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures26.5% of 200 movements35.8% across 1,997 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, 44.6% of arrivals were disrupted, measured across 6 Septembers in the archive. January has been the calmest, at 16.6% across 7 Januarys.

Even September has ranged from 20.6% to 71.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201914.2% of 120 movements17.1% of 117 movements25.3% of 146 movements20.7% of 150 movements21.1% of 152 movements29.6% of 135 movements26.6% of 143 movements40.4% of 141 movements35.8% of 134 movements22.7% of 150 movements15.0% of 140 movements26.0% of 127 movements202010.2% of 118 movements37.4% of 123 movements6.1% of 115 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements4.5% of 22 movements †14.3% of 21 movements †7.7% of 65 movements30.0% of 30 movements †12.2% of 41 movements †202117.1% of 35 movements †19.0% of 21 movements †4.8% of 21 movements †9.1% of 22 movements †2.6% of 39 movements †5.4% of 56 movements11.7% of 60 movements4.8% of 62 movements25.0% of 60 movements13.2% of 76 movements18.9% of 90 movements24.1% of 87 movements20225.4% of 93 movements30.2% of 86 movements31.7% of 101 movements41.7% of 127 movements30.1% of 153 movements48.5% of 136 movements54.1% of 85 movements33.8% of 74 movements71.4% of 84 movements55.4% of 112 movements38.8% of 160 movements47.8% of 159 movements202337.2% of 164 movements37.3% of 134 movements55.2% of 145 movements43.5% of 131 movements43.3% of 141 movements43.9% of 123 movements51.6% of 122 movements47.4% of 135 movements50.8% of 122 movements31.8% of 132 movements20.3% of 148 movements38.6% of 153 movements202416.6% of 163 movements16.9% of 160 movements23.4% of 158 movements42.0% of 150 movements41.7% of 175 movements47.3% of 150 movements55.3% of 141 movements42.8% of 138 movements58.4% of 137 movements30.1% of 156 movements18.5% of 189 movements27.3% of 205 movements202521.8% of 202 movements6.9% of 188 movements24.9% of 201 movements14.1% of 149 movements26.1% of 134 movements20.0% of 140 movements26.4% of 159 movements22.3% of 121 movements38.4% of 125 movements20.8% of 149 movements7.2% of 167 movements14.7% of 170 movements202619.1% of 173 movements6.5% of 154 movements7.1% of 170 movements10.4% of 164 movements24.2% of 161 movements36.8% of 125 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan16.6%5.4–37.2%7 months, 1,102 flights
Feb17.1%6.5–37.3%7 months, 1,003 flights
Mar24.9%7.1–55.2%7 months, 1,100 flights
Apr20.7%10.4–43.5%7 months, 1,037 flights
May26.1%19.3–43.3%7 months, 1,087 flights
Jun36.8%20.0–48.5%7 months, 965 flights
Jul41.3%26.4–55.3%6 months, 799 flights
Aug37.1%21.3–47.4%6 months, 759 flights
Sep44.6%20.6–71.4%6 months, 782 flights
Oct26.8%20.8–55.4%6 months, 895 flights
Nov19.4%7.2–38.8%6 months, 946 flights
Dec26.7%14.7–47.8%6 months, 934 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, 18.6% of 1,838 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 Airways18.6% of 1,838 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways1,83818.6% of 1,838 movements0.8% of 1,838 movementsno events in 1,838 movementsdescriptive comparison
Eastern Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Klmsuppressed: 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, BHD had the lowest disruption share at 19.6% of 2,266 movements and MAN the highest at 29.1% of 2,568 movements. This route sits at 18.6% of 1,838 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 flightsMan ↔ Heathrow29.1% of 2,568 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
Man ↔ Heathrow2,56829.1% of 2,568 movements0.6% of 2,568 movements0.2% of 2,568 movementsdescriptive comparison
Mme ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
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 NCL ran 18.6% of 1,838 movements disrupted, departures 20.4% of 1,839 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 NCL18.6% of 1,838 movements0.8% of 1,838 movementsno events in 1,838 movements
Departures from NCL20.4% of 1,839 movements0.8% of 1,839 movements0.3% of 1,839 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 202617 flights out of 12,58917 × £220 = £3,740
ArrivalsLast 72 months · Jul 2020–Jun 20269 flights out of 8,6189 × £220 = £1,980
DeparturesWhole archive · Jan 2018–Jun 202645 flights out of 12,59945 × £220 = £9,900
DeparturesLast 72 months · Jul 2020–Jun 202635 flights out of 8,62235 × £220 = £7,700
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 airportNEWCASTLE · NCL
Final point / countryHEATHROW / UNITED KINGDOM
Final point codesLHR / EGLL
Great-circle distance405 km
Maximum statutory amount for the band£220
Average operated arrivals per day5.00
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 archive99

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: 1,838; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

18.6% of 1,838 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 1,838 movements in the same window.

How many delays crossed three hours?

no events in 1,838 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?

405 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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