UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

NCL ↔ TENERIFE SURREINA SOFIA

In the twelve months from July 2025 to June 2026, 30.5% of 803 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, 69.5% of 803 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 201 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, 30.5% of 803 movements were disrupted and no events in 803 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
30.5% of 803 movementsno events in 803 movements36.1–65.8 min; N of delayed flights=245–424803
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: no events in 803 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 min30.5%30 min17.7%60 min7.0%120 min2.0%180 min0.5%360 min0.5%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min30.5% of 803 movements2453.3
>30 min17.7% of 803 movements1425.7
>60 min7.0% of 803 movements5614.3
>120 min2.0% of 803 movements1650.2
>180 min0.5% of 803 movements4200.8
>360 min0.5% of 803 movements4200.8
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 early17621.9%15–1 early20325.3%0–15 late17922.3%16–3010312.8%31–608610.7%61…120405.0%121…180121.5%181…36000.0%>36040.5%D=803
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0212; 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: Feb 2023, 5.4% of 56 movements. Worst month: Sep 2025, 45.8% of 59 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: 14.5%; sample: 622018Feb 2018: 27.8%; sample: 54Mar 2018: 18.8%; sample: 64Apr 2018: 13.6%; sample: 59May 2018: 26.4%; sample: 53Jun 2018: 15.4%; sample: 52Jul 2018: 11.1%; sample: 54Aug 2018: 15.4%; sample: 52Sep 2018: 28.8%; sample: 52Oct 2018: 31.7%; sample: 60Nov 2018: 14.1%; sample: 64Dec 2018: 22.6%; sample: 62Jan 2019: 24.6%; sample: 612019Feb 2019: 18.5%; sample: 54Mar 2019: 23.1%; sample: 65Apr 2019: 19.2%; sample: 52May 2019: 18.6%; sample: 43Jun 2019: 14.0%; sample: 43Jul 2019: 11.1%; sample: 45Aug 2019: 13.3%; sample: 45Sep 2019: 22.0%; sample: 41Oct 2019: 9.4%; sample: 53Nov 2019: 13.6%; sample: 59Dec 2019: 18.0%; sample: 61Jan 2020: 8.0%; sample: 502020Feb 2020: 16.7%; sample: 48Mar 2020: 45.7%; sample: 35Apr 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: suppressed: fewer than twenty movements×Sep 2020: suppressed: fewer than twenty movements×Oct 2020: suppressed: fewer than twenty movements×Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 31.0%; sample: 29Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: no data×May 2021: no data×Jun 2021: no data×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: 17.1%; sample: 35Sep 2021: 8.1%; sample: 37Oct 2021: 28.6%; sample: 42Nov 2021: 26.7%; sample: 45Dec 2021: 13.3%; sample: 45Jan 2022: 9.1%; sample: 442022Feb 2022: 11.6%; sample: 43Mar 2022: 16.7%; sample: 54Apr 2022: 14.5%; sample: 62May 2022: 38.9%; sample: 54Jun 2022: 26.8%; sample: 56Jul 2022: 27.4%; sample: 62Aug 2022: 25.8%; sample: 62Sep 2022: 32.7%; sample: 55Oct 2022: 18.6%; sample: 70Nov 2022: 15.2%; sample: 66Dec 2022: 26.1%; sample: 69Jan 2023: 27.0%; sample: 632023Feb 2023: 5.4%; sample: 56Mar 2023: 35.4%; sample: 65Apr 2023: 20.6%; sample: 63May 2023: 19.6%; sample: 56Jun 2023: 38.6%; sample: 57Jul 2023: 15.9%; sample: 63Aug 2023: 14.8%; sample: 61Sep 2023: 14.3%; sample: 56Oct 2023: 21.2%; sample: 66Nov 2023: 13.5%; sample: 74Dec 2023: 31.1%; sample: 74Jan 2024: 23.9%; sample: 712024Feb 2024: 22.2%; sample: 63Mar 2024: 18.9%; sample: 74Apr 2024: 29.2%; sample: 65May 2024: 30.0%; sample: 60Jun 2024: 25.4%; sample: 63Jul 2024: 25.8%; sample: 66Aug 2024: 13.4%; sample: 67Sep 2024: 31.1%; sample: 61Oct 2024: 33.8%; sample: 74Nov 2024: 29.6%; sample: 71Dec 2024: 38.2%; sample: 68Jan 2025: 39.5%; sample: 762025Feb 2025: 27.4%; sample: 73Mar 2025: 31.6%; sample: 76Apr 2025: 20.6%; sample: 68May 2025: 31.0%; sample: 58Jun 2025: 32.8%; sample: 64Jul 2025: 27.7%; sample: 65Aug 2025: 23.5%; sample: 68Sep 2025: 45.8%; sample: 59Oct 2025: 40.0%; sample: 70Nov 2025: 27.8%; sample: 72Dec 2025: 25.7%; sample: 70Jan 2026: 38.0%; sample: 712026Feb 2026: 22.9%; sample: 70Mar 2026: 42.5%; sample: 73Apr 2026: 23.4%; sample: 64May 2026: 23.4%; sample: 64Jun 2026: 24.6%; sample: 57Pandemic 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 201814.5% of 62 movements
Feb 201827.8% of 54 movements
Mar 201818.8% of 64 movements
Apr 201813.6% of 59 movements
May 201826.4% of 53 movements
Jun 201815.4% of 52 movements
Jul 201811.1% of 54 movements
Aug 201815.4% of 52 movements
Sep 201828.8% of 52 movements
Oct 201831.7% of 60 movements
Nov 201814.1% of 64 movements
Dec 201822.6% of 62 movements
Jan 201924.6% of 61 movements
Feb 201918.5% of 54 movements
Mar 201923.1% of 65 movements
Apr 201919.2% of 52 movements
May 201918.6% of 43 movements — small sample, not ranked
Jun 201914.0% of 43 movements — small sample, not ranked
Jul 201911.1% of 45 movements — small sample, not ranked
Aug 201913.3% of 45 movements — small sample, not ranked
Sep 201922.0% of 41 movements — small sample, not ranked
Oct 20199.4% of 53 movements
Nov 201913.6% of 59 movements
Dec 201918.0% of 61 movements
Jan 20208.0% of 50 movements
Feb 202016.7% of 48 movements — small sample, not ranked
Mar 202045.7% of 35 movements — small sample, not ranked
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 2020suppressed: fewer than twenty movements
Sep 2020suppressed: fewer than twenty movements
Oct 2020suppressed: fewer than twenty movements
Nov 2020suppressed: fewer than twenty movements
Dec 202031.0% of 29 movements — small sample, not ranked
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021no data
May 2021no data
Jun 2021no data
Jul 2021suppressed: fewer than twenty movements
Aug 202117.1% of 35 movements — small sample, not ranked
Sep 20218.1% of 37 movements — small sample, not ranked
Oct 202128.6% of 42 movements — small sample, not ranked
Nov 202126.7% of 45 movements — small sample, not ranked
Dec 202113.3% of 45 movements — small sample, not ranked
Jan 20229.1% of 44 movements — small sample, not ranked
Feb 202211.6% of 43 movements — small sample, not ranked
Mar 202216.7% of 54 movements
Apr 202214.5% of 62 movements
May 202238.9% of 54 movements
Jun 202226.8% of 56 movements
Jul 202227.4% of 62 movements
Aug 202225.8% of 62 movements
Sep 202232.7% of 55 movements
Oct 202218.6% of 70 movements
Nov 202215.2% of 66 movements
Dec 202226.1% of 69 movements
Jan 202327.0% of 63 movements
Feb 20235.4% of 56 movements
Mar 202335.4% of 65 movements
Apr 202320.6% of 63 movements
May 202319.6% of 56 movements
Jun 202338.6% of 57 movements
Jul 202315.9% of 63 movements
Aug 202314.8% of 61 movements
Sep 202314.3% of 56 movements
Oct 202321.2% of 66 movements
Nov 202313.5% of 74 movements
Dec 202331.1% of 74 movements
Jan 202423.9% of 71 movements
Feb 202422.2% of 63 movements
Mar 202418.9% of 74 movements
Apr 202429.2% of 65 movements
May 202430.0% of 60 movements
Jun 202425.4% of 63 movements
Jul 202425.8% of 66 movements
Aug 202413.4% of 67 movements
Sep 202431.1% of 61 movements
Oct 202433.8% of 74 movements
Nov 202429.6% of 71 movements
Dec 202438.2% of 68 movements
Jan 202539.5% of 76 movements
Feb 202527.4% of 73 movements
Mar 202531.6% of 76 movements
Apr 202520.6% of 68 movements
May 202531.0% of 58 movements
Jun 202532.8% of 64 movements
Jul 202527.7% of 65 movements
Aug 202523.5% of 68 movements
Sep 202545.8% of 59 movements
Oct 202540.0% of 70 movements
Nov 202527.8% of 72 movements
Dec 202525.7% of 70 movements
Jan 202638.0% of 71 movements
Feb 202622.9% of 70 movements
Mar 202642.5% of 73 movements
Apr 202623.4% of 64 movements
May 202623.4% of 64 movements
Jun 202624.6% of 57 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 2022Arrivals27.4% of 62 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures50.8% of 63 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals14.8% of 61 movements23.4% across 745 flightsreturned the next month
NATS system failure · Aug 2023Departures39.3% of 61 movements36.4% across 744 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals31.6% of 76 movements28.5% across 818 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.7% of 75 movements27.1% across 819 flightsreturned after 8 months
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, 30.0% of arrivals were disrupted, measured across 6 Septembers in the archive. November has been the calmest, at 14.6% across 6 Novembers.

Even September has ranged from 14.3% to 45.8% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201924.6% of 61 movements18.5% of 54 movements23.1% of 65 movements19.2% of 52 movements18.6% of 43 movements †14.0% of 43 movements †11.1% of 45 movements †13.3% of 45 movements †22.0% of 41 movements †9.4% of 53 movements13.6% of 59 movements18.0% of 61 movements20208.0% of 50 movements16.7% of 48 movements †45.7% of 35 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements31.0% of 29 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datano datasuppressed: fewer than twenty movements17.1% of 35 movements †8.1% of 37 movements †28.6% of 42 movements †26.7% of 45 movements †13.3% of 45 movements †20229.1% of 44 movements †11.6% of 43 movements †16.7% of 54 movements14.5% of 62 movements38.9% of 54 movements26.8% of 56 movements27.4% of 62 movements25.8% of 62 movements32.7% of 55 movements18.6% of 70 movements15.2% of 66 movements26.1% of 69 movements202327.0% of 63 movements5.4% of 56 movements35.4% of 65 movements20.6% of 63 movements19.6% of 56 movements38.6% of 57 movements15.9% of 63 movements14.8% of 61 movements14.3% of 56 movements21.2% of 66 movements13.5% of 74 movements31.1% of 74 movements202423.9% of 71 movements22.2% of 63 movements18.9% of 74 movements29.2% of 65 movements30.0% of 60 movements25.4% of 63 movements25.8% of 66 movements13.4% of 67 movements31.1% of 61 movements33.8% of 74 movements29.6% of 71 movements38.2% of 68 movements202539.5% of 76 movements27.4% of 73 movements31.6% of 76 movements20.6% of 68 movements31.0% of 58 movements32.8% of 64 movements27.7% of 65 movements23.5% of 68 movements45.8% of 59 movements40.0% of 70 movements27.8% of 72 movements25.7% of 70 movements202638.0% of 71 movements22.9% of 70 movements42.5% of 73 movements23.4% of 64 movements23.4% of 64 movements24.6% of 57 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan24.6%9.1–39.5%7 months, 448 flights
Feb22.2%5.4–27.8%7 months, 413 flights
Mar23.1%16.7–42.5%7 months, 471 flights
Apr20.6%13.6–29.2%7 months, 433 flights
May26.4%18.6–38.9%7 months, 388 flights
Jun25.4%14.0–38.6%7 months, 392 flights
Jul20.8%11.1–27.7%6 months, 355 flights
Aug15.1%13.3–25.8%6 months, 355 flights
Sep30.0%14.3–45.8%6 months, 324 flights
Oct26.4%9.4–40.0%6 months, 393 flights
Nov14.6%13.5–29.6%6 months, 406 flights
Dec25.9%18.0–38.2%6 months, 404 flights
Definitions, denominators and limits

The matrix shows the last eight calendar years, including an incomplete final year; the start of the archive is kept in the history above. Seasonal summaries use the whole available archive, excluding the pandemic regime 2020–2021; this is an observed range, not a forecast. Zero events, missing data and suppressed cells are marked separately. † marks a small sample, described but not ranked. For ranges the colour follows the upper bound.

Which airline has the better record here?

On the published record there is no clear winner: Jet2.Com 21.9% of 448 movements, Ryanair 24.6% of 126 movements, Tui Airways 50.7% of 229 movements. Observed shares differ; the mix of operations is not matched, so no causal conclusion follows.

Figures cover arrivals, July 2025 to June 2026; lower is better in every column. Carriers with fewer than twenty published flights are suppressed rather than shown as zero. The page makes no ranking: the operations behind these shares are not matched for aircraft, time of day or season.

Observed disruption share by optionJet2.Com21.9% of 448 flightsRyanair24.6% of 126 flightsTui Airways50.7% of 229 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Com44821.9% of 448 movementsno events in 448 movements0.2% of 448 movementsdescriptive comparison
Ryanair12624.6% of 126 movementsno events in 126 movementsno events in 126 movementsdescriptive comparison
Thomas Cook Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airways22950.7% of 229 movementsno events in 229 movements1.3% of 229 movementsdescriptive comparison

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, BFS had the lowest disruption share at 16.2% of 597 movements and MAN the highest at 33.2% of 2,362 movements. This route sits at 30.5% of 803 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 ↔ Tenerife-Surreina-Sofia28.1% of 57 flightsBfs ↔ Tenerife-Surreina-Sofia16.2% of 597 flightsBhx ↔ Tenerife-Surreina-Sofia30.7% of 1,215 flightsBoh ↔ Tenerife-Surreina-Sofia28.9% of 336 flightsBrs ↔ Tenerife-Surreina-Sofia23.3% of 1,118 flightsCwl ↔ Tenerife-Surreina-Sofia30.4% of 237 flightsEdi ↔ Tenerife-Surreina-Sofia29.4% of 1,037 flightsEma ↔ Tenerife-Surreina-Sofia24.1% of 918 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Tenerife-Surreina-Sofia5728.1% of 57 movementsno events in 57 movementsno events in 57 movementsdescriptive comparison
Bfs ↔ Tenerife-Surreina-Sofia59716.2% of 597 movementsno events in 597 movements0.2% of 597 movementsdescriptive comparison
Bhx ↔ Tenerife-Surreina-Sofia1,21530.7% of 1,215 movements0.2% of 1,215 movements0.7% of 1,215 movementsdescriptive comparison
Boh ↔ Tenerife-Surreina-Sofia33628.9% of 336 movementsno events in 336 movements0.3% of 336 movementsdescriptive comparison
Brs ↔ Tenerife-Surreina-Sofia1,11823.3% of 1,118 movements0.3% of 1,118 movements0.4% of 1,118 movementsdescriptive comparison
Cwl ↔ Tenerife-Surreina-Sofia23730.4% of 237 movementsno events in 237 movements0.4% of 237 movementsdescriptive comparison
Doncaster-Sheffield ↔ Tenerife-Surreina-Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Tenerife-Surreina-Sofia1,03729.4% of 1,037 movements0.3% of 1,037 movements0.6% of 1,037 movementsdescriptive comparison
Ema ↔ Tenerife-Surreina-Sofia91824.1% of 918 movementsno events in 918 movements0.4% of 918 movementsdescriptive comparison
Ext ↔ Tenerife-Surreina-Sofia10524.8% of 105 movementsno events in 105 movementsno events in 105 movementsdescriptive comparison
Gla ↔ Tenerife-Surreina-Sofia73927.6% of 739 movements0.5% of 739 movements0.5% of 739 movementsdescriptive comparison
Iom ↔ Tenerife-Surreina-Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Tenerife-Surreina-Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Tenerife-Surreina-Sofia61322.8% of 613 movements1.1% of 613 movements0.7% of 613 movementsdescriptive comparison
Lgw ↔ Tenerife-Surreina-Sofia2,00128.6% of 2,001 movements0.5% of 2,001 movements0.2% of 2,001 movementsdescriptive comparison
Lhr ↔ Tenerife-Surreina-Sofia20926.8% of 209 movementsno events in 209 movements1.4% of 209 movementsdescriptive comparison
Lpl ↔ Tenerife-Surreina-Sofia93419.3% of 934 movements0.3% of 934 movements0.1% of 934 movementsdescriptive comparison
Ltn ↔ Tenerife-Surreina-Sofia78727.3% of 787 movements0.4% of 787 movements0.3% of 787 movementsdescriptive comparison
Man ↔ Tenerife-Surreina-Sofia2,36233.2% of 2,362 movements0.4% of 2,362 movements0.5% of 2,362 movementsdescriptive comparison
Sen ↔ Tenerife-Surreina-Sofia15420.1% of 154 movementsno events in 154 movements0.6% of 154 movementsdescriptive comparison
Sou ↔ Tenerife-Surreina-Sofiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Tenerife-Surreina-Sofia1,40924.0% of 1,409 movements1.5% of 1,409 movements0.4% of 1,409 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into NCL ran 30.5% of 803 movements disrupted, departures 25.4% of 807 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 NCL30.5% of 803 movementsno events in 803 movements0.5% of 803 movements
Departures from NCL25.4% of 807 movementsno events in 807 movements0.7% of 807 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 202637 flights out of 5,18037 × £350 = £12,950
ArrivalsLast 72 months · Jul 2020–Jun 202625 flights out of 3,73725 × £350 = £8,750
DeparturesWhole archive · Jan 2018–Jun 202632 flights out of 5,17032 × £350 = £11,200
DeparturesLast 72 months · Jul 2020–Jun 202625 flights out of 3,73625 × £350 = £8,750
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 / countryTENERIFE (SURREINA SOFIA) / SPAIN(CANARY ISLANDS)
Final point codesTFS / GCTS
Great-circle distance3,232 km
Maximum statutory amount for the band£350
Average operated arrivals per day2.20
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 archive93

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: 803; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

30.5% of 803 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

no events in 803 movements in the same window.

How many delays crossed three hours?

0.5% of 803 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?

3,232 km, great-circle.

Can compensation entitlement be established here?

No. The cause and the circumstances of an individual flight are unknown. Official CAA conditions.

Why do some cells say "no data"?

That month is absent from the published series. Small cells carry a separate "suppressed" marker; a gap is never replaced by a zero.

How this was calculated

Dataset version, input hashes and reconstruction rules

Dataset version: 396da8dde2874f14; method route-record-v2.1.

Versioned register of every number and the entity map · Input hashes · Correction log · Reconstruction and formulas.

Reconstruction: integer counts inside the rounding bounds of shares of D, summing to M. Ambiguity is preserved as a range of feasible counts; non-convergence stays in quarantine. The map of codes and coordinates is pinned by hash alongside the data. Raw CSV files are not included in the published output.

Your trip has already gone wrong — what now?

The official route to complain

Contact the airline first, then the relevant ADR body or the CAA. The right to care is assessed separately from compensation; time limits and circumstances are checked case by case. CAA: how to complain.

Reconstruction and formulas

Open the versioned claim register

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