UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ TENERIFE SURREINA SOFIA

In the twelve months from July 2025 to June 2026, 27.3% of 787 movements arriving into LTN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 72.7% of 787 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 394 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, 27.3% of 787 movements were disrupted and 0.4% of 787 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
27.3% of 787 movements0.4% of 787 movements24.0–50.5 min; N of delayed flights=212–414787
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: 0.4% of 787 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 min26.9%30 min14.4%60 min5.3%120 min0.6%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min26.9% of 787 movements2123.7
>30 min14.4% of 787 movements1137.0
>60 min5.3% of 787 movements4218.7
>120 min0.6% of 787 movements5157.4
>180 min0.3% of 787 movements2393.5
>360 minno events in 787 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 early14718.7%15–1 early22328.3%0–15 late20225.7%16–309912.6%31–60719.0%61…120374.7%121…18030.4%181…36020.3%>36000.0%D=787
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0118; 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: Mar 2022, 6.9% of 58 movements. Worst month: Dec 2022, 46.2% of 65 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: 22.6%; sample: 312018Feb 2018: 28.6%; sample: 28Mar 2018: 33.3%; sample: 30Apr 2018: 23.3%; sample: 30May 2018: 37.5%; sample: 32Jun 2018: 24.1%; sample: 29Jul 2018: 32.3%; sample: 31Aug 2018: 19.4%; sample: 31Sep 2018: 33.3%; sample: 30Oct 2018: 38.7%; sample: 31Nov 2018: 30.0%; sample: 30Dec 2018: 41.9%; sample: 31Jan 2019: 37.5%; sample: 322019Feb 2019: 32.1%; sample: 28Mar 2019: 25.8%; sample: 31Apr 2019: 16.7%; sample: 30May 2019: 29.6%; sample: 27Jun 2019: 19.2%; sample: 26Jul 2019: 14.8%; sample: 27Aug 2019: 32.3%; sample: 31Sep 2019: 38.5%; sample: 26Oct 2019: 29.0%; sample: 31Nov 2019: 32.3%; sample: 31Dec 2019: 39.5%; sample: 38Jan 2020: 35.0%; sample: 402020Feb 2020: 45.9%; sample: 37Mar 2020: 43.8%; sample: 32Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 4.7%; sample: 43Aug 2020: 4.5%; sample: 44Sep 2020: 0.0%; sample: 29Oct 2020: 3.7%; sample: 27Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 25.6%; sample: 39Jan 2021: 45.0%; sample: 202021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: 13.0%; sample: 23Aug 2021: 13.0%; sample: 46Sep 2021: 2.4%; sample: 42Oct 2021: 19.2%; sample: 52Nov 2021: 17.4%; sample: 46Dec 2021: 15.0%; sample: 60Jan 2022: 12.2%; sample: 412022Feb 2022: 28.0%; sample: 50Mar 2022: 6.9%; sample: 58Apr 2022: 15.6%; sample: 64May 2022: 24.6%; sample: 57Jun 2022: 24.6%; sample: 61Jul 2022: 30.9%; sample: 55Aug 2022: 29.8%; sample: 57Sep 2022: 43.6%; sample: 55Oct 2022: 38.1%; sample: 63Nov 2022: 27.1%; sample: 48Dec 2022: 46.2%; sample: 65Jan 2023: 28.0%; sample: 502023Feb 2023: 21.4%; sample: 42Mar 2023: 52.1%; sample: 48Apr 2023: 36.2%; sample: 47May 2023: 37.5%; sample: 40Jun 2023: 30.0%; sample: 40Jul 2023: 32.5%; sample: 40Aug 2023: 27.5%; sample: 40Sep 2023: 24.3%; sample: 37Oct 2023: 41.5%; sample: 41Nov 2023: 17.1%; sample: 41Dec 2023: 30.4%; sample: 46Jan 2024: 12.1%; sample: 332024Feb 2024: 12.2%; sample: 41Mar 2024: 23.9%; sample: 46Apr 2024: 27.5%; sample: 51May 2024: 18.2%; sample: 44Jun 2024: 23.8%; sample: 42Jul 2024: 33.3%; sample: 39Aug 2024: 35.9%; sample: 39Sep 2024: 25.5%; sample: 47Oct 2024: 41.5%; sample: 53Nov 2024: 34.0%; sample: 50Dec 2024: 15.9%; sample: 63Jan 2025: 29.1%; sample: 552025Feb 2025: 12.7%; sample: 55Mar 2025: 8.3%; sample: 60Apr 2025: 35.7%; sample: 70May 2025: 22.6%; sample: 62Jun 2025: 21.7%; sample: 60Jul 2025: 33.3%; sample: 54Aug 2025: 34.0%; sample: 53Sep 2025: 29.7%; sample: 64Oct 2025: 28.4%; sample: 67Nov 2025: 15.9%; sample: 69Dec 2025: 27.8%; sample: 79Jan 2026: 22.1%; sample: 682026Feb 2026: 22.9%; sample: 70Mar 2026: 32.1%; sample: 81Apr 2026: 30.2%; sample: 63May 2026: 22.6%; sample: 62Jun 2026: 31.6%; 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 201822.6% of 31 movements — small sample, not ranked
Feb 201828.6% of 28 movements — small sample, not ranked
Mar 201833.3% of 30 movements — small sample, not ranked
Apr 201823.3% of 30 movements — small sample, not ranked
May 201837.5% of 32 movements — small sample, not ranked
Jun 201824.1% of 29 movements — small sample, not ranked
Jul 201832.3% of 31 movements — small sample, not ranked
Aug 201819.4% of 31 movements — small sample, not ranked
Sep 201833.3% of 30 movements — small sample, not ranked
Oct 201838.7% of 31 movements — small sample, not ranked
Nov 201830.0% of 30 movements — small sample, not ranked
Dec 201841.9% of 31 movements — small sample, not ranked
Jan 201937.5% of 32 movements — small sample, not ranked
Feb 201932.1% of 28 movements — small sample, not ranked
Mar 201925.8% of 31 movements — small sample, not ranked
Apr 201916.7% of 30 movements — small sample, not ranked
May 201929.6% of 27 movements — small sample, not ranked
Jun 201919.2% of 26 movements — small sample, not ranked
Jul 201914.8% of 27 movements — small sample, not ranked
Aug 201932.3% of 31 movements — small sample, not ranked
Sep 201938.5% of 26 movements — small sample, not ranked
Oct 201929.0% of 31 movements — small sample, not ranked
Nov 201932.3% of 31 movements — small sample, not ranked
Dec 201939.5% of 38 movements — small sample, not ranked
Jan 202035.0% of 40 movements — small sample, not ranked
Feb 202045.9% of 37 movements — small sample, not ranked
Mar 202043.8% of 32 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20204.7% of 43 movements — small sample, not ranked
Aug 20204.5% of 44 movements — small sample, not ranked
Sep 2020no events in 29 movements — small sample, not ranked
Oct 20203.7% of 27 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 202025.6% of 39 movements — small sample, not ranked
Jan 202145.0% of 20 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 2021suppressed: fewer than twenty movements
Jul 202113.0% of 23 movements — small sample, not ranked
Aug 202113.0% of 46 movements — small sample, not ranked
Sep 20212.4% of 42 movements — small sample, not ranked
Oct 202119.2% of 52 movements
Nov 202117.4% of 46 movements — small sample, not ranked
Dec 202115.0% of 60 movements
Jan 202212.2% of 41 movements — small sample, not ranked
Feb 202228.0% of 50 movements
Mar 20226.9% of 58 movements
Apr 202215.6% of 64 movements
May 202224.6% of 57 movements
Jun 202224.6% of 61 movements
Jul 202230.9% of 55 movements
Aug 202229.8% of 57 movements
Sep 202243.6% of 55 movements
Oct 202238.1% of 63 movements
Nov 202227.1% of 48 movements — small sample, not ranked
Dec 202246.2% of 65 movements
Jan 202328.0% of 50 movements
Feb 202321.4% of 42 movements — small sample, not ranked
Mar 202352.1% of 48 movements — small sample, not ranked
Apr 202336.2% of 47 movements — small sample, not ranked
May 202337.5% of 40 movements — small sample, not ranked
Jun 202330.0% of 40 movements — small sample, not ranked
Jul 202332.5% of 40 movements — small sample, not ranked
Aug 202327.5% of 40 movements — small sample, not ranked
Sep 202324.3% of 37 movements — small sample, not ranked
Oct 202341.5% of 41 movements — small sample, not ranked
Nov 202317.1% of 41 movements — small sample, not ranked
Dec 202330.4% of 46 movements — small sample, not ranked
Jan 202412.1% of 33 movements — small sample, not ranked
Feb 202412.2% of 41 movements — small sample, not ranked
Mar 202423.9% of 46 movements — small sample, not ranked
Apr 202427.5% of 51 movements
May 202418.2% of 44 movements — small sample, not ranked
Jun 202423.8% of 42 movements — small sample, not ranked
Jul 202433.3% of 39 movements — small sample, not ranked
Aug 202435.9% of 39 movements — small sample, not ranked
Sep 202425.5% of 47 movements — small sample, not ranked
Oct 202441.5% of 53 movements
Nov 202434.0% of 50 movements
Dec 202415.9% of 63 movements
Jan 202529.1% of 55 movements
Feb 202512.7% of 55 movements
Mar 20258.3% of 60 movements
Apr 202535.7% of 70 movements
May 202522.6% of 62 movements
Jun 202521.7% of 60 movements
Jul 202533.3% of 54 movements
Aug 202534.0% of 53 movements
Sep 202529.7% of 64 movements
Oct 202528.4% of 67 movements
Nov 202515.9% of 69 movements
Dec 202527.8% of 79 movements
Jan 202622.1% of 68 movements
Feb 202622.9% of 70 movements
Mar 202632.1% of 81 movements
Apr 202630.2% of 63 movements
May 202622.6% of 62 movements
Jun 202631.6% 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 2022Arrivals30.9% of 55 movements16.0% across 600 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures50.9% of 57 movements14.1% across 604 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals27.5% of 40 movements — small sample, not ranked35.2% across 595 flightsreturned the next month
NATS system failure · Aug 2023Departures25.0% of 40 movements — small sample, not ranked39.3% across 589 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals8.3% of 60 movements26.8% across 584 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Departures16.7% of 60 movements24.9% across 584 flightsreturned after 2 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?

October has historically been the hardest month on this route: in a typical October, 38.4% of arrivals were disrupted, measured across 6 Octobers in the archive. January has been the calmest, at 22.6% across 7 Januarys.

Even October has ranged from 28.4% to 41.5% in different years, so this is a record of what happened, not a forecast of what will. Lower is better throughout.

Each cell is one calendar month of one year; the number is the share of that month’s arrivals that were disrupted. Darker means worse. A blank cell means no published data, not zero.

Seasonality: calendar month by year; share and nJanFebMarAprMayJunJulAugSepOctNovDec201937.5% of 32 movements †32.1% of 28 movements †25.8% of 31 movements †16.7% of 30 movements †29.6% of 27 movements †19.2% of 26 movements †14.8% of 27 movements †32.3% of 31 movements †38.5% of 26 movements †29.0% of 31 movements †32.3% of 31 movements †39.5% of 38 movements †202035.0% of 40 movements †45.9% of 37 movements †43.8% of 32 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements4.7% of 43 movements †4.5% of 44 movements †no events in 29 movements †3.7% of 27 movements †suppressed: fewer than twenty movements25.6% of 39 movements †202145.0% of 20 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements13.0% of 23 movements †13.0% of 46 movements †2.4% of 42 movements †19.2% of 52 movements17.4% of 46 movements †15.0% of 60 movements202212.2% of 41 movements †28.0% of 50 movements6.9% of 58 movements15.6% of 64 movements24.6% of 57 movements24.6% of 61 movements30.9% of 55 movements29.8% of 57 movements43.6% of 55 movements38.1% of 63 movements27.1% of 48 movements †46.2% of 65 movements202328.0% of 50 movements21.4% of 42 movements †52.1% of 48 movements †36.2% of 47 movements †37.5% of 40 movements †30.0% of 40 movements †32.5% of 40 movements †27.5% of 40 movements †24.3% of 37 movements †41.5% of 41 movements †17.1% of 41 movements †30.4% of 46 movements †202412.1% of 33 movements †12.2% of 41 movements †23.9% of 46 movements †27.5% of 51 movements18.2% of 44 movements †23.8% of 42 movements †33.3% of 39 movements †35.9% of 39 movements †25.5% of 47 movements †41.5% of 53 movements34.0% of 50 movements15.9% of 63 movements202529.1% of 55 movements12.7% of 55 movements8.3% of 60 movements35.7% of 70 movements22.6% of 62 movements21.7% of 60 movements33.3% of 54 movements34.0% of 53 movements29.7% of 64 movements28.4% of 67 movements15.9% of 69 movements27.8% of 79 movements202622.1% of 68 movements22.9% of 70 movements32.1% of 81 movements30.2% of 63 movements22.6% of 62 movements31.6% of 57 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.6%12.1–37.5%7 months, 310 flights
Feb22.9%12.2–32.1%7 months, 314 flights
Mar25.8%6.9–52.1%7 months, 354 flights
Apr27.5%15.6–36.2%7 months, 355 flights
May24.6%18.2–37.5%7 months, 324 flights
Jun24.1%19.2–31.6%7 months, 315 flights
Jul32.4%14.8–33.3%6 months, 246 flights
Aug31.0%19.4–35.9%6 months, 251 flights
Sep31.5%24.3–43.6%6 months, 259 flights
Oct38.4%28.4–41.5%6 months, 286 flights
Nov28.5%15.9–34.0%6 months, 269 flights
Dec35.0%15.9–46.2%6 months, 322 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: Ryanair 12.0% of 83 movements, Easyjet Uk 21.6% of 495 movements, Tui Airways 44.1% of 34 movements — small sample, not ranked. 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 optionEasyjet Uk21.6% of 495 flightsJet2.Com47.4% of 175 flightsRyanair12.0% of 83 flightsTui Airways †44.1% of 34 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 Uk49521.6% of 495 movements0.6% of 495 movements0.2% of 495 movementsdescriptive comparison
Jet2.Com17547.4% of 175 movementsno events in 175 movements0.6% of 175 movementsdescriptive comparison
Monarch Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair8312.0% of 83 movementsno events in 83 movementsno events in 83 movementsdescriptive comparison
Smartwingssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airways3444.1% of 34 movements — small sample, not rankedno events in 34 movements — small sample, not rankedno events in 34 movements — small sample, not rankedsmall sample; not ranked
Wizz Air Uksuppressed: 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, 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 27.3% of 787 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
Man ↔ Tenerife-Surreina-Sofia2,36233.2% of 2,362 movements0.4% of 2,362 movements0.5% of 2,362 movementsdescriptive comparison
Ncl ↔ Tenerife-Surreina-Sofia80330.5% of 803 movementsno events in 803 movements0.5% of 803 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 LTN ran 27.3% of 787 movements disrupted, departures 21.1% of 790 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 LTN27.3% of 787 movements0.4% of 787 movements0.3% of 787 movements
Departures from LTN21.1% of 790 movementsno events in 790 movementsno events in 790 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 202618 flights out of 4,27618 × £350 = £6,300
ArrivalsLast 72 months · Jul 2020–Jun 202612 flights out of 3,42412 × £350 = £4,200
DeparturesWhole archive · Jan 2018–Jun 202612 flights out of 4,27012 × £350 = £4,200
DeparturesLast 72 months · Jul 2020–Jun 20266 flights out of 3,4166 × £350 = £2,100
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 airportLUTON · LTN
Final point / countryTENERIFE (SURREINA SOFIA) / SPAIN(CANARY ISLANDS)
Final point codesTFS / GCTS
Great-circle distance2,973 km
Maximum statutory amount for the band£350
Average operated arrivals per day2.15
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 archive101

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: 787; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

27.3% of 787 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.4% of 787 movements in the same window.

How many delays crossed three hours?

0.3% of 787 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?

2,973 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

Was your flight delayed 3h+? Check what you may be owed

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