UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

BFS ↔ NEWCASTLE

In the twelve months from July 2025 to June 2026, 15.5% of 899 movements arriving into BFS were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 84.5% of 899 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 300 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, 15.5% of 899 movements were disrupted and 0.3% of 899 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
15.5% of 899 movements0.3% of 899 movements25.9–66.4 min; N of delayed flights=136–314899
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: 0.3% of 899 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 min15.1%30 min10.1%60 min4.6%120 min1.3%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min15.1% of 899 movements1366.6
>30 min10.1% of 899 movements919.9
>60 min4.6% of 899 movements4121.9
>120 min1.3% of 899 movements1274.9
>180 min0.3% of 899 movements3299.7
>360 minno events in 899 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?

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 early9810.9%15–1 early48453.8%0–15 late17819.8%16–30455.0%31–60505.6%61…120293.2%121…18091.0%181…36030.3%>36000.0%D=899
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0316; 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: Jan 2022, no events in 53 movements. Worst month: Apr 2019, 100.0% of 81 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: 11.5%; sample: 782018Feb 2018: 4.4%; sample: 68Mar 2018: 23.1%; sample: 78Apr 2018: 4.8%; sample: 83May 2018: 27.7%; sample: 83Jun 2018: 12.3%; sample: 81Jul 2018: 24.7%; sample: 85Aug 2018: 27.1%; sample: 85Sep 2018: 14.8%; sample: 81Oct 2018: 23.5%; sample: 85Nov 2018: 5.3%; sample: 75Dec 2018: 6.1%; sample: 82Jan 2019: 3.9%; sample: 762019Feb 2019: 2.9%; sample: 70Mar 2019: 5.2%; sample: 77Apr 2019: 100.0%; sample: 81May 2019: 18.8%; sample: 85Jun 2019: 19.8%; sample: 81Jul 2019: 18.1%; sample: 83Aug 2019: 19.0%; sample: 84Sep 2019: 18.8%; sample: 80Oct 2019: 10.6%; sample: 85Nov 2019: 5.5%; sample: 73Dec 2019: 7.7%; sample: 78Jan 2020: 5.1%; sample: 782020Feb 2020: 20.0%; sample: 70Mar 2020: 8.9%; sample: 56Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 0.0%; sample: 30Aug 2020: 6.2%; sample: 48Sep 2020: 2.3%; sample: 43Oct 2020: 2.2%; sample: 45Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 7.0%; sample: 43Jan 2021: 4.2%; sample: 242021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: 9.1%; sample: 22Jun 2021: 7.9%; sample: 38Jul 2021: 7.0%; sample: 43Aug 2021: 2.2%; sample: 45Sep 2021: 6.5%; sample: 46Oct 2021: 12.7%; sample: 79Nov 2021: 4.6%; sample: 65Dec 2021: 1.4%; sample: 69Jan 2022: 0.0%; sample: 532022Feb 2022: 16.9%; sample: 59Mar 2022: 13.0%; sample: 69Apr 2022: 29.8%; sample: 57May 2022: 37.7%; sample: 61Jun 2022: 29.8%; sample: 57Jul 2022: 31.1%; sample: 61Aug 2022: 33.3%; sample: 63Sep 2022: 26.7%; sample: 60Oct 2022: 20.6%; sample: 63Nov 2022: 2.2%; sample: 45Dec 2022: 27.5%; sample: 51Jan 2023: 25.9%; sample: 542023Feb 2023: 8.2%; sample: 49Mar 2023: 26.8%; sample: 56Apr 2023: 56.2%; sample: 64May 2023: 37.3%; sample: 67Jun 2023: 42.9%; sample: 63Jul 2023: 45.9%; sample: 61Aug 2023: 39.3%; sample: 61Sep 2023: 36.5%; sample: 63Oct 2023: 39.7%; sample: 68Nov 2023: 6.9%; sample: 72Dec 2023: 24.7%; sample: 73Jan 2024: 8.6%; sample: 582024Feb 2024: 11.6%; sample: 69Mar 2024: 12.7%; sample: 79Apr 2024: 19.2%; sample: 73May 2024: 26.2%; sample: 84Jun 2024: 21.8%; sample: 78Jul 2024: 22.2%; sample: 81Aug 2024: 20.3%; sample: 79Sep 2024: 24.7%; sample: 81Oct 2024: 24.4%; sample: 82Nov 2024: 20.3%; sample: 74Dec 2024: 28.6%; sample: 77Jan 2025: 31.5%; sample: 732025Feb 2025: 23.9%; sample: 67Mar 2025: 11.2%; sample: 80Apr 2025: 13.9%; sample: 72May 2025: 10.7%; sample: 75Jun 2025: 12.8%; sample: 78Jul 2025: 16.7%; sample: 66Aug 2025: 24.2%; sample: 66Sep 2025: 15.8%; sample: 76Oct 2025: 11.4%; sample: 79Nov 2025: 5.1%; sample: 79Dec 2025: 17.1%; sample: 76Jan 2026: 21.9%; sample: 642026Feb 2026: 18.1%; sample: 72Mar 2026: 7.5%; sample: 80Apr 2026: 12.2%; sample: 82May 2026: 22.6%; sample: 84Jun 2026: 16.0%; sample: 75Pandemic 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 201811.5% of 78 movements
Feb 20184.4% of 68 movements
Mar 201823.1% of 78 movements
Apr 20184.8% of 83 movements
May 201827.7% of 83 movements
Jun 201812.3% of 81 movements
Jul 201824.7% of 85 movements
Aug 201827.1% of 85 movements
Sep 201814.8% of 81 movements
Oct 201823.5% of 85 movements
Nov 20185.3% of 75 movements
Dec 20186.1% of 82 movements
Jan 20193.9% of 76 movements
Feb 20192.9% of 70 movements
Mar 20195.2% of 77 movements
Apr 2019100.0% of 81 movements
May 201918.8% of 85 movements
Jun 201919.8% of 81 movements
Jul 201918.1% of 83 movements
Aug 201919.0% of 84 movements
Sep 201918.8% of 80 movements
Oct 201910.6% of 85 movements
Nov 20195.5% of 73 movements
Dec 20197.7% of 78 movements
Jan 20205.1% of 78 movements
Feb 202020.0% of 70 movements
Mar 20208.9% of 56 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020no events in 30 movements — small sample, not ranked
Aug 20206.2% of 48 movements — small sample, not ranked
Sep 20202.3% of 43 movements — small sample, not ranked
Oct 20202.2% of 45 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 20207.0% of 43 movements — small sample, not ranked
Jan 20214.2% of 24 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 20219.1% of 22 movements — small sample, not ranked
Jun 20217.9% of 38 movements — small sample, not ranked
Jul 20217.0% of 43 movements — small sample, not ranked
Aug 20212.2% of 45 movements — small sample, not ranked
Sep 20216.5% of 46 movements — small sample, not ranked
Oct 202112.7% of 79 movements
Nov 20214.6% of 65 movements
Dec 20211.4% of 69 movements
Jan 2022no events in 53 movements
Feb 202216.9% of 59 movements
Mar 202213.0% of 69 movements
Apr 202229.8% of 57 movements
May 202237.7% of 61 movements
Jun 202229.8% of 57 movements
Jul 202231.1% of 61 movements
Aug 202233.3% of 63 movements
Sep 202226.7% of 60 movements
Oct 202220.6% of 63 movements
Nov 20222.2% of 45 movements — small sample, not ranked
Dec 202227.5% of 51 movements
Jan 202325.9% of 54 movements
Feb 20238.2% of 49 movements — small sample, not ranked
Mar 202326.8% of 56 movements
Apr 202356.2% of 64 movements
May 202337.3% of 67 movements
Jun 202342.9% of 63 movements
Jul 202345.9% of 61 movements
Aug 202339.3% of 61 movements
Sep 202336.5% of 63 movements
Oct 202339.7% of 68 movements
Nov 20236.9% of 72 movements
Dec 202324.7% of 73 movements
Jan 20248.6% of 58 movements
Feb 202411.6% of 69 movements
Mar 202412.7% of 79 movements
Apr 202419.2% of 73 movements
May 202426.2% of 84 movements
Jun 202421.8% of 78 movements
Jul 202422.2% of 81 movements
Aug 202420.3% of 79 movements
Sep 202424.7% of 81 movements
Oct 202424.4% of 82 movements
Nov 202420.3% of 74 movements
Dec 202428.6% of 77 movements
Jan 202531.5% of 73 movements
Feb 202523.9% of 67 movements
Mar 202511.2% of 80 movements
Apr 202513.9% of 72 movements
May 202510.7% of 75 movements
Jun 202512.8% of 78 movements
Jul 202516.7% of 66 movements
Aug 202524.2% of 66 movements
Sep 202515.8% of 76 movements
Oct 202511.4% of 79 movements
Nov 20255.1% of 79 movements
Dec 202517.1% of 76 movements
Jan 202621.9% of 64 movements
Feb 202618.1% of 72 movements
Mar 20267.5% of 80 movements
Apr 202612.2% of 82 movements
May 202622.6% of 84 movements
Jun 202616.0% of 75 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 2022Arrivals31.1% of 61 movements13.5% across 703 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures27.9% of 61 movements10.5% across 702 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals39.3% of 61 movements29.5% across 696 flightsreturned after 3 months
NATS system failure · Aug 2023Departures32.3% of 62 movements25.2% across 694 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals11.2% of 80 movements23.0% across 928 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures8.8% of 80 movements21.1% across 930 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?

May has historically been the hardest month on this route: in a typical May, 26.2% of arrivals were disrupted, measured across 7 Mays in the archive. November has been the calmest, at 5.4% across 6 Novembers.

Even May has ranged from 10.7% to 37.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20193.9% of 76 movements2.9% of 70 movements5.2% of 77 movements100.0% of 81 movements18.8% of 85 movements19.8% of 81 movements18.1% of 83 movements19.0% of 84 movements18.8% of 80 movements10.6% of 85 movements5.5% of 73 movements7.7% of 78 movements20205.1% of 78 movements20.0% of 70 movements8.9% of 56 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 30 movements †6.2% of 48 movements †2.3% of 43 movements †2.2% of 45 movements †suppressed: fewer than twenty movements7.0% of 43 movements †20214.2% of 24 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements9.1% of 22 movements †7.9% of 38 movements †7.0% of 43 movements †2.2% of 45 movements †6.5% of 46 movements †12.7% of 79 movements4.6% of 65 movements1.4% of 69 movements2022no events in 53 movements16.9% of 59 movements13.0% of 69 movements29.8% of 57 movements37.7% of 61 movements29.8% of 57 movements31.1% of 61 movements33.3% of 63 movements26.7% of 60 movements20.6% of 63 movements2.2% of 45 movements †27.5% of 51 movements202325.9% of 54 movements8.2% of 49 movements †26.8% of 56 movements56.2% of 64 movements37.3% of 67 movements42.9% of 63 movements45.9% of 61 movements39.3% of 61 movements36.5% of 63 movements39.7% of 68 movements6.9% of 72 movements24.7% of 73 movements20248.6% of 58 movements11.6% of 69 movements12.7% of 79 movements19.2% of 73 movements26.2% of 84 movements21.8% of 78 movements22.2% of 81 movements20.3% of 79 movements24.7% of 81 movements24.4% of 82 movements20.3% of 74 movements28.6% of 77 movements202531.5% of 73 movements23.9% of 67 movements11.2% of 80 movements13.9% of 72 movements10.7% of 75 movements12.8% of 78 movements16.7% of 66 movements24.2% of 66 movements15.8% of 76 movements11.4% of 79 movements5.1% of 79 movements17.1% of 76 movements202621.9% of 64 movements18.1% of 72 movements7.5% of 80 movements12.2% of 82 movements22.6% of 84 movements16.0% of 75 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan11.5%0.0–31.5%7 months, 456 flights
Feb11.6%2.9–23.9%7 months, 454 flights
Mar12.7%5.2–26.8%7 months, 519 flights
Apr19.2%4.8–100.0%7 months, 512 flights
May26.2%10.7–37.7%7 months, 539 flights
Jun19.8%12.3–42.9%7 months, 513 flights
Jul23.5%16.7–45.9%6 months, 437 flights
Aug25.7%19.0–39.3%6 months, 438 flights
Sep21.7%14.8–36.5%6 months, 441 flights
Oct22.1%10.6–39.7%6 months, 462 flights
Nov5.4%2.2–20.3%6 months, 418 flights
Dec20.9%6.1–28.6%6 months, 437 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: Easyjet Uk Ltd, 15.5% of 899 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 optionEasyjet Uk15.5% of 899 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk89915.5% of 899 movements0.3% of 899 movements0.3% of 899 movementsdescriptive comparison
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Comsuppressed: 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 15.5% of 899 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 optionBrs ↔ Newcastle23.4% of 607 flightsExt ↔ Newcastle17.1% of 175 flightsJer ↔ Newcastle †22.7% of 44 flightsLhr ↔ Newcastle15.2% of 1,839 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
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
Lhr ↔ Newcastle1,83915.2% of 1,839 movements0.8% of 1,839 movements0.2% of 1,839 movementsdescriptive comparison
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?

Barely: arrivals into BFS ran 15.5% of 899 movements disrupted, departures 14.3% of 900 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 BFS15.5% of 899 movements0.3% of 899 movements0.3% of 899 movements
Departures from BFS14.3% of 900 movements0.3% of 900 movements0.4% of 900 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 202629 flights out of 6,53529 × £220 = £6,380
ArrivalsLast 72 months · Jul 2020–Jun 202617 flights out of 4,40517 × £220 = £3,740
DeparturesWhole archive · Jan 2018–Jun 202625 flights out of 6,53625 × £220 = £5,500
DeparturesLast 72 months · Jul 2020–Jun 202614 flights out of 4,40814 × £220 = £3,080
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 airportBELFAST INTERNATIONAL · BFS
Final point / countryNEWCASTLE / UNITED KINGDOM
Final point codesNCL / EGNT
Great-circle distance293 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.45
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthJan 2018–Jun 2026
Months with operations in the archive100

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

What this data cannot tell you

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

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

Data-quality counters for this route

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

Unmatched records: 0; all recorded operations: 899; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

15.5% of 899 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.3% of 899 movements in the same window.

How many delays crossed three hours?

0.3% of 899 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?

293 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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