UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ NEWCASTLE

In the twelve months from July 2025 to June 2026, 15.2% of 1,839 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, 84.8% of 1,839 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 460 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, 15.2% of 1,839 movements were disrupted and 0.8% of 1,839 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
15.2% of 1,839 movements0.8% of 1,839 movements21.1–58.1 min; N of delayed flights=264–6401,839
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 1,839 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 min14.4%30 min7.9%60 min3.3%120 min0.9%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min14.4% of 1,839 movements2647.0
>30 min7.9% of 1,839 movements14612.6
>60 min3.3% of 1,839 movements6030.6
>120 min0.9% of 1,839 movements17108.2
>180 min0.2% of 1,839 movements4459.8
>360 minno events in 1,839 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 early33518.2%15–1 early84946.2%0–15 late37620.4%16–301186.4%31–60864.7%61…120432.3%121…180130.7%181…36040.2%>36000.0%D=1,839
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0196; 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, 1.6% of 61 movements. Worst month: Sep 2024, 49.6% of 137 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: 14.3%; sample: 1892018Feb 2018: 18.3%; sample: 164Mar 2018: 17.3%; sample: 179Apr 2018: 16.9%; sample: 166May 2018: 9.9%; sample: 171Jun 2018: 11.5%; sample: 156Jul 2018: 16.1%; sample: 149Aug 2018: 10.7%; sample: 150Sep 2018: 10.6%; sample: 179Oct 2018: 19.7%; sample: 198Nov 2018: 24.8%; sample: 141Dec 2018: 33.1%; sample: 121Jan 2019: 12.5%; sample: 1202019Feb 2019: 21.4%; sample: 117Mar 2019: 26.7%; sample: 146Apr 2019: 12.0%; sample: 150May 2019: 10.5%; sample: 152Jun 2019: 19.3%; sample: 135Jul 2019: 13.3%; sample: 143Aug 2019: 23.4%; sample: 141Sep 2019: 19.4%; sample: 124Oct 2019: 16.7%; sample: 150Nov 2019: 15.7%; sample: 140Dec 2019: 20.3%; sample: 128Jan 2020: 13.6%; sample: 1182020Feb 2020: 41.5%; 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: 4.8%; sample: 21Oct 2020: 4.6%; sample: 65Nov 2020: 18.5%; sample: 27Dec 2020: 7.5%; sample: 40Jan 2021: 14.3%; sample: 352021Feb 2021: 20.0%; sample: 20Mar 2021: 0.0%; sample: 21Apr 2021: 4.5%; sample: 22May 2021: 2.6%; sample: 38Jun 2021: 7.3%; sample: 55Jul 2021: 1.6%; sample: 61Aug 2021: 4.8%; sample: 62Sep 2021: 13.3%; sample: 60Oct 2021: 11.8%; sample: 76Nov 2021: 14.4%; sample: 90Dec 2021: 11.5%; sample: 87Jan 2022: 7.5%; sample: 932022Feb 2022: 21.8%; sample: 87Mar 2022: 19.8%; sample: 101Apr 2022: 16.7%; sample: 126May 2022: 27.3%; sample: 161Jun 2022: 37.8%; sample: 135Jul 2022: 45.2%; sample: 84Aug 2022: 25.7%; sample: 74Sep 2022: 35.7%; sample: 84Oct 2022: 19.6%; sample: 112Nov 2022: 28.1%; sample: 160Dec 2022: 36.5%; sample: 156Jan 2023: 25.0%; sample: 1642023Feb 2023: 19.4%; sample: 139Mar 2023: 39.3%; sample: 145Apr 2023: 14.6%; sample: 130May 2023: 17.6%; sample: 142Jun 2023: 22.8%; sample: 123Jul 2023: 27.0%; sample: 122Aug 2023: 29.1%; sample: 134Sep 2023: 35.5%; sample: 121Oct 2023: 28.2%; sample: 131Nov 2023: 17.7%; sample: 147Dec 2023: 39.9%; sample: 153Jan 2024: 14.1%; sample: 1632024Feb 2024: 22.6%; sample: 159Mar 2024: 20.8%; sample: 159Apr 2024: 27.5%; sample: 149May 2024: 41.1%; sample: 175Jun 2024: 36.7%; sample: 150Jul 2024: 40.8%; sample: 142Aug 2024: 33.6%; sample: 140Sep 2024: 49.6%; sample: 137Oct 2024: 29.5%; sample: 156Nov 2024: 16.9%; sample: 189Dec 2024: 29.8%; sample: 205Jan 2025: 24.1%; sample: 2032025Feb 2025: 5.3%; sample: 188Mar 2025: 23.9%; sample: 201Apr 2025: 9.4%; sample: 149May 2025: 14.1%; sample: 135Jun 2025: 12.2%; sample: 139Jul 2025: 20.8%; sample: 159Aug 2025: 14.8%; sample: 122Sep 2025: 30.4%; sample: 125Oct 2025: 12.8%; sample: 149Nov 2025: 8.4%; sample: 167Dec 2025: 17.1%; sample: 170Jan 2026: 16.8%; sample: 1732026Feb 2026: 4.5%; sample: 154Mar 2026: 8.2%; sample: 170Apr 2026: 7.4%; sample: 163May 2026: 16.7%; sample: 162Jun 2026: 31.2%; 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 201814.3% of 189 movements
Feb 201818.3% of 164 movements
Mar 201817.3% of 179 movements
Apr 201816.9% of 166 movements
May 20189.9% of 171 movements
Jun 201811.5% of 156 movements
Jul 201816.1% of 149 movements
Aug 201810.7% of 150 movements
Sep 201810.6% of 179 movements
Oct 201819.7% of 198 movements
Nov 201824.8% of 141 movements
Dec 201833.1% of 121 movements
Jan 201912.5% of 120 movements
Feb 201921.4% of 117 movements
Mar 201926.7% of 146 movements
Apr 201912.0% of 150 movements
May 201910.5% of 152 movements
Jun 201919.3% of 135 movements
Jul 201913.3% of 143 movements
Aug 201923.4% of 141 movements
Sep 201919.4% of 124 movements
Oct 201916.7% of 150 movements
Nov 201915.7% of 140 movements
Dec 201920.3% of 128 movements
Jan 202013.6% of 118 movements
Feb 202041.5% 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 20204.8% of 21 movements — small sample, not ranked
Oct 20204.6% of 65 movements
Nov 202018.5% of 27 movements — small sample, not ranked
Dec 20207.5% of 40 movements — small sample, not ranked
Jan 202114.3% of 35 movements — small sample, not ranked
Feb 202120.0% of 20 movements — small sample, not ranked
Mar 2021no events in 21 movements — small sample, not ranked
Apr 20214.5% of 22 movements — small sample, not ranked
May 20212.6% of 38 movements — small sample, not ranked
Jun 20217.3% of 55 movements
Jul 20211.6% of 61 movements
Aug 20214.8% of 62 movements
Sep 202113.3% of 60 movements
Oct 202111.8% of 76 movements
Nov 202114.4% of 90 movements
Dec 202111.5% of 87 movements
Jan 20227.5% of 93 movements
Feb 202221.8% of 87 movements
Mar 202219.8% of 101 movements
Apr 202216.7% of 126 movements
May 202227.3% of 161 movements
Jun 202237.8% of 135 movements
Jul 202245.2% of 84 movements
Aug 202225.7% of 74 movements
Sep 202235.7% of 84 movements
Oct 202219.6% of 112 movements
Nov 202228.1% of 160 movements
Dec 202236.5% of 156 movements
Jan 202325.0% of 164 movements
Feb 202319.4% of 139 movements
Mar 202339.3% of 145 movements
Apr 202314.6% of 130 movements
May 202317.6% of 142 movements
Jun 202322.8% of 123 movements
Jul 202327.0% of 122 movements
Aug 202329.1% of 134 movements
Sep 202335.5% of 121 movements
Oct 202328.2% of 131 movements
Nov 202317.7% of 147 movements
Dec 202339.9% of 153 movements
Jan 202414.1% of 163 movements
Feb 202422.6% of 159 movements
Mar 202420.8% of 159 movements
Apr 202427.5% of 149 movements
May 202441.1% of 175 movements
Jun 202436.7% of 150 movements
Jul 202440.8% of 142 movements
Aug 202433.6% of 140 movements
Sep 202449.6% of 137 movements
Oct 202429.5% of 156 movements
Nov 202416.9% of 189 movements
Dec 202429.8% of 205 movements
Jan 202524.1% of 203 movements
Feb 20255.3% of 188 movements
Mar 202523.9% of 201 movements
Apr 20259.4% of 149 movements
May 202514.1% of 135 movements
Jun 202512.2% of 139 movements
Jul 202520.8% of 159 movements
Aug 202514.8% of 122 movements
Sep 202530.4% of 125 movements
Oct 202512.8% of 149 movements
Nov 20258.4% of 167 movements
Dec 202517.1% of 170 movements
Jan 202616.8% of 173 movements
Feb 20264.5% of 154 movements
Mar 20268.2% of 170 movements
Apr 20267.4% of 163 movements
May 202616.7% of 162 movements
Jun 202631.2% 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 2022Arrivals45.2% of 84 movements15.7% across 1,139 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures57.6% of 85 movements30.5% across 1,131 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals29.1% of 134 movements26.0% across 1,551 flightsreturned after 3 months
NATS system failure · Aug 2023Departures47.8% of 134 movements53.7% across 1,553 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals23.9% of 201 movements29.6% across 1,993 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures25.0% of 200 movements32.9% across 1,992 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, 33.0% of arrivals were disrupted, measured across 6 Septembers in the archive. January has been the calmest, at 14.3% across 7 Januarys.

Even September has ranged from 10.6% to 49.6% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201912.5% of 120 movements21.4% of 117 movements26.7% of 146 movements12.0% of 150 movements10.5% of 152 movements19.3% of 135 movements13.3% of 143 movements23.4% of 141 movements19.4% of 124 movements16.7% of 150 movements15.7% of 140 movements20.3% of 128 movements202013.6% of 118 movements41.5% 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 †4.8% of 21 movements †4.6% of 65 movements18.5% of 27 movements †7.5% of 40 movements †202114.3% of 35 movements †20.0% of 20 movements †no events in 21 movements †4.5% of 22 movements †2.6% of 38 movements †7.3% of 55 movements1.6% of 61 movements4.8% of 62 movements13.3% of 60 movements11.8% of 76 movements14.4% of 90 movements11.5% of 87 movements20227.5% of 93 movements21.8% of 87 movements19.8% of 101 movements16.7% of 126 movements27.3% of 161 movements37.8% of 135 movements45.2% of 84 movements25.7% of 74 movements35.7% of 84 movements19.6% of 112 movements28.1% of 160 movements36.5% of 156 movements202325.0% of 164 movements19.4% of 139 movements39.3% of 145 movements14.6% of 130 movements17.6% of 142 movements22.8% of 123 movements27.0% of 122 movements29.1% of 134 movements35.5% of 121 movements28.2% of 131 movements17.7% of 147 movements39.9% of 153 movements202414.1% of 163 movements22.6% of 159 movements20.8% of 159 movements27.5% of 149 movements41.1% of 175 movements36.7% of 150 movements40.8% of 142 movements33.6% of 140 movements49.6% of 137 movements29.5% of 156 movements16.9% of 189 movements29.8% of 205 movements202524.1% of 203 movements5.3% of 188 movements23.9% of 201 movements9.4% of 149 movements14.1% of 135 movements12.2% of 139 movements20.8% of 159 movements14.8% of 122 movements30.4% of 125 movements12.8% of 149 movements8.4% of 167 movements17.1% of 170 movements202616.8% of 173 movements4.5% of 154 movements8.2% of 170 movements7.4% of 163 movements16.7% of 162 movements31.2% of 125 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan14.3%7.5–25.0%7 months, 1,105 flights
Feb19.4%4.5–22.6%7 months, 1,008 flights
Mar20.8%8.2–39.3%7 months, 1,101 flights
Apr14.6%7.4–27.5%7 months, 1,033 flights
May16.7%9.9–41.1%7 months, 1,098 flights
Jun22.8%11.5–37.8%7 months, 963 flights
Jul23.9%13.3–45.2%6 months, 799 flights
Aug24.5%10.7–33.6%6 months, 761 flights
Sep33.0%10.6–49.6%6 months, 770 flights
Oct19.7%12.8–29.5%6 months, 896 flights
Nov17.3%8.4–28.1%6 months, 944 flights
Dec31.4%17.1–39.9%6 months, 933 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, 15.2% of 1,839 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 Airways15.2% of 1,839 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways1,83915.2% of 1,839 movements0.8% of 1,839 movements0.2% of 1,839 movementsdescriptive comparison
Flybesuppressed: 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, SOU had the lowest disruption share at 13.6% of 634 movements and BRS the highest at 23.4% of 607 movements. This route sits at 15.2% of 1,839 movements.

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

Observed disruption share by optionBfs ↔ Newcastle15.5% of 899 flightsBrs ↔ Newcastle23.4% of 607 flightsExt ↔ Newcastle17.1% of 175 flightsJer ↔ Newcastle †22.7% of 44 flightsSou ↔ Newcastle13.6% of 634 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Newcastle89915.5% of 899 movements0.3% of 899 movements0.3% of 899 movementsdescriptive comparison
Bhd ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Newcastle60723.4% of 607 movements1.0% of 607 movements0.2% of 607 movementsdescriptive comparison
Cwl ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Newcastle17517.1% of 175 movementsno events in 175 movementsno events in 175 movementsdescriptive comparison
Gla ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Newcastle4422.7% of 44 movements — small sample, not ranked2.3% of 44 movements — small sample, not rankedno events in 44 movements — small sample, not rankedsmall sample; not ranked
Lba ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mme ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Newcastlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Newcastle63413.6% of 634 movements1.1% of 634 movements0.5% of 634 movementsdescriptive comparison
Stn ↔ Newcastlesuppressed: 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 15.2% of 1,839 movements disrupted, departures 18.4% of 1,838 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 LHR15.2% of 1,839 movements0.8% of 1,839 movements0.2% of 1,839 movements
Departures from LHR18.4% of 1,838 movements0.7% of 1,838 movementsno events in 1,838 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 202636 flights out of 12,58536 × £220 = £7,920
ArrivalsLast 72 months · Jul 2020–Jun 202626 flights out of 8,62026 × £220 = £5,720
DeparturesWhole archive · Jan 2018–Jun 202616 flights out of 12,57916 × £220 = £3,520
DeparturesLast 72 months · Jul 2020–Jun 202610 flights out of 8,61610 × £220 = £2,200
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 / countryNEWCASTLE / UNITED KINGDOM
Final point codesNCL / EGNT
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: 1,839; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

15.2% of 1,839 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 1,839 movements in the same window.

How many delays crossed three hours?

0.2% of 1,839 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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