UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

BHX ↔ LAS PALMAS

In the twelve months from July 2025 to June 2026, 32.9% of 604 movements arriving into BHX were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 67.1% of 604 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 302 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, 32.9% of 604 movements were disrupted and no events in 604 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
32.9% of 604 movementsno events in 604 movements29.5–52.7 min; N of delayed flights=199–335604
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 604 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 min32.9%30 min18.5%60 min7.9%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 min32.9% of 604 movements1993.0
>30 min18.5% of 604 movements1125.4
>60 min7.9% of 604 movements4812.6
>120 min1.3% of 604 movements875.5
>180 min0.3% of 604 movements2302.0
>360 minno events in 604 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 early10216.9%15–1 early16727.6%0–15 late13622.5%16–308714.4%31–606410.6%61…120406.6%121…18061.0%181…36020.3%>36000.0%D=605
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0132; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Aug 2019, 14.0% of 50 movements. Worst month: Oct 2025, 51.9% of 54 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: 24.1%; sample: 292018Feb 2018: 13.8%; sample: 29Mar 2018: 34.2%; sample: 38Apr 2018: 7.0%; sample: 43May 2018: 26.1%; sample: 46Jun 2018: 30.6%; sample: 49Jul 2018: 14.3%; sample: 49Aug 2018: 14.3%; sample: 49Sep 2018: 17.0%; sample: 47Oct 2018: 26.5%; sample: 49Nov 2018: 11.8%; sample: 34Dec 2018: 17.6%; sample: 34Jan 2019: 11.1%; sample: 272019Feb 2019: 9.1%; sample: 33Mar 2019: 15.4%; sample: 39Apr 2019: 4.7%; sample: 43May 2019: 26.5%; sample: 49Jun 2019: 20.0%; sample: 45Jul 2019: 12.2%; sample: 49Aug 2019: 14.0%; sample: 50Sep 2019: 10.9%; sample: 46Oct 2019: 9.5%; sample: 42Nov 2019: 11.4%; sample: 35Dec 2019: 27.0%; sample: 37Jan 2020: 15.2%; sample: 332020Feb 2020: 38.7%; sample: 31Mar 2020: 28.6%; sample: 28Apr 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: suppressed: fewer than twenty movements×Jan 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: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: 19.4%; sample: 31Sep 2021: 23.5%; sample: 34Oct 2021: 30.6%; sample: 36Nov 2021: 29.4%; sample: 34Dec 2021: 26.8%; sample: 41Jan 2022: 21.4%; sample: 282022Feb 2022: 26.7%; sample: 30Mar 2022: 8.6%; sample: 35Apr 2022: 20.0%; sample: 45May 2022: 52.3%; sample: 44Jun 2022: 57.1%; sample: 42Jul 2022: 34.0%; sample: 47Aug 2022: 30.2%; sample: 43Sep 2022: 44.2%; sample: 43Oct 2022: 43.2%; sample: 44Nov 2022: 18.4%; sample: 38Dec 2022: 27.3%; sample: 44Jan 2023: 18.9%; sample: 372023Feb 2023: 17.6%; sample: 34Mar 2023: 47.6%; sample: 42Apr 2023: 29.5%; sample: 44May 2023: 27.9%; sample: 43Jun 2023: 37.2%; sample: 43Jul 2023: 37.0%; sample: 46Aug 2023: 36.4%; sample: 44Sep 2023: 37.0%; sample: 46Oct 2023: 11.4%; sample: 44Nov 2023: 29.7%; sample: 37Dec 2023: 26.8%; sample: 41Jan 2024: 17.5%; sample: 402024Feb 2024: 23.1%; sample: 39Mar 2024: 27.5%; sample: 40Apr 2024: 45.5%; sample: 44May 2024: 27.9%; sample: 43Jun 2024: 39.5%; sample: 43Jul 2024: 27.3%; sample: 44Aug 2024: 40.0%; sample: 45Sep 2024: 54.5%; sample: 44Oct 2024: 45.2%; sample: 42Nov 2024: 34.1%; sample: 41Dec 2024: 26.8%; sample: 41Jan 2025: 28.9%; sample: 382025Feb 2025: 19.4%; sample: 36Mar 2025: 29.3%; sample: 41Apr 2025: 31.0%; sample: 42May 2025: 26.0%; sample: 50Jun 2025: 45.1%; sample: 51Jul 2025: 32.7%; sample: 49Aug 2025: 25.5%; sample: 55Sep 2025: 43.1%; sample: 51Oct 2025: 51.9%; sample: 54Nov 2025: 25.0%; sample: 48Dec 2025: 22.0%; sample: 50Jan 2026: 34.7%; sample: 492026Feb 2026: 31.0%; sample: 42Mar 2026: 30.0%; sample: 50Apr 2026: 12.5%; sample: 48May 2026: 38.2%; sample: 55Jun 2026: 45.3%; sample: 53Pandemic 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 201824.1% of 29 movements — small sample, not ranked
Feb 201813.8% of 29 movements — small sample, not ranked
Mar 201834.2% of 38 movements — small sample, not ranked
Apr 20187.0% of 43 movements — small sample, not ranked
May 201826.1% of 46 movements — small sample, not ranked
Jun 201830.6% of 49 movements — small sample, not ranked
Jul 201814.3% of 49 movements — small sample, not ranked
Aug 201814.3% of 49 movements — small sample, not ranked
Sep 201817.0% of 47 movements — small sample, not ranked
Oct 201826.5% of 49 movements — small sample, not ranked
Nov 201811.8% of 34 movements — small sample, not ranked
Dec 201817.6% of 34 movements — small sample, not ranked
Jan 201911.1% of 27 movements — small sample, not ranked
Feb 20199.1% of 33 movements — small sample, not ranked
Mar 201915.4% of 39 movements — small sample, not ranked
Apr 20194.7% of 43 movements — small sample, not ranked
May 201926.5% of 49 movements — small sample, not ranked
Jun 201920.0% of 45 movements — small sample, not ranked
Jul 201912.2% of 49 movements — small sample, not ranked
Aug 201914.0% of 50 movements
Sep 201910.9% of 46 movements — small sample, not ranked
Oct 20199.5% of 42 movements — small sample, not ranked
Nov 201911.4% of 35 movements — small sample, not ranked
Dec 201927.0% of 37 movements — small sample, not ranked
Jan 202015.2% of 33 movements — small sample, not ranked
Feb 202038.7% of 31 movements — small sample, not ranked
Mar 202028.6% of 28 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 2020suppressed: fewer than twenty movements
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 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 202119.4% of 31 movements — small sample, not ranked
Sep 202123.5% of 34 movements — small sample, not ranked
Oct 202130.6% of 36 movements — small sample, not ranked
Nov 202129.4% of 34 movements — small sample, not ranked
Dec 202126.8% of 41 movements — small sample, not ranked
Jan 202221.4% of 28 movements — small sample, not ranked
Feb 202226.7% of 30 movements — small sample, not ranked
Mar 20228.6% of 35 movements — small sample, not ranked
Apr 202220.0% of 45 movements — small sample, not ranked
May 202252.3% of 44 movements — small sample, not ranked
Jun 202257.1% of 42 movements — small sample, not ranked
Jul 202234.0% of 47 movements — small sample, not ranked
Aug 202230.2% of 43 movements — small sample, not ranked
Sep 202244.2% of 43 movements — small sample, not ranked
Oct 202243.2% of 44 movements — small sample, not ranked
Nov 202218.4% of 38 movements — small sample, not ranked
Dec 202227.3% of 44 movements — small sample, not ranked
Jan 202318.9% of 37 movements — small sample, not ranked
Feb 202317.6% of 34 movements — small sample, not ranked
Mar 202347.6% of 42 movements — small sample, not ranked
Apr 202329.5% of 44 movements — small sample, not ranked
May 202327.9% of 43 movements — small sample, not ranked
Jun 202337.2% of 43 movements — small sample, not ranked
Jul 202337.0% of 46 movements — small sample, not ranked
Aug 202336.4% of 44 movements — small sample, not ranked
Sep 202337.0% of 46 movements — small sample, not ranked
Oct 202311.4% of 44 movements — small sample, not ranked
Nov 202329.7% of 37 movements — small sample, not ranked
Dec 202326.8% of 41 movements — small sample, not ranked
Jan 202417.5% of 40 movements — small sample, not ranked
Feb 202423.1% of 39 movements — small sample, not ranked
Mar 202427.5% of 40 movements — small sample, not ranked
Apr 202445.5% of 44 movements — small sample, not ranked
May 202427.9% of 43 movements — small sample, not ranked
Jun 202439.5% of 43 movements — small sample, not ranked
Jul 202427.3% of 44 movements — small sample, not ranked
Aug 202440.0% of 45 movements — small sample, not ranked
Sep 202454.5% of 44 movements — small sample, not ranked
Oct 202445.2% of 42 movements — small sample, not ranked
Nov 202434.1% of 41 movements — small sample, not ranked
Dec 202426.8% of 41 movements — small sample, not ranked
Jan 202528.9% of 38 movements — small sample, not ranked
Feb 202519.4% of 36 movements — small sample, not ranked
Mar 202529.3% of 41 movements — small sample, not ranked
Apr 202531.0% of 42 movements — small sample, not ranked
May 202526.0% of 50 movements
Jun 202545.1% of 51 movements
Jul 202532.7% of 49 movements — small sample, not ranked
Aug 202525.5% of 55 movements
Sep 202543.1% of 51 movements
Oct 202551.9% of 54 movements
Nov 202525.0% of 48 movements — small sample, not ranked
Dec 202522.0% of 50 movements
Jan 202634.7% of 49 movements — small sample, not ranked
Feb 202631.0% of 42 movements — small sample, not ranked
Mar 202630.0% of 50 movements
Apr 202612.5% of 48 movements — small sample, not ranked
May 202638.2% of 55 movements
Jun 202645.3% of 53 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 2022Arrivals34.0% of 47 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures66.7% of 45 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals36.4% of 44 movements — small sample, not ranked31.6% across 501 flightsreturned after 2 months
NATS system failure · Aug 2023Departures34.1% of 44 movements — small sample, not ranked40.2% across 499 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals29.3% of 41 movements — small sample, not ranked34.7% across 501 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures25.0% of 40 movements — small sample, not ranked39.5% across 501 flightsreturned after 5 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, 40.0% of arrivals were disrupted, measured across 6 Septembers in the archive. February has been the calmest, at 19.4% across 7 Februarys.

Even September has ranged from 10.9% to 54.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201911.1% of 27 movements †9.1% of 33 movements †15.4% of 39 movements †4.7% of 43 movements †26.5% of 49 movements †20.0% of 45 movements †12.2% of 49 movements †14.0% of 50 movements10.9% of 46 movements †9.5% of 42 movements †11.4% of 35 movements †27.0% of 37 movements †202015.2% of 33 movements †38.7% of 31 movements †28.6% of 28 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 movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movements19.4% of 31 movements †23.5% of 34 movements †30.6% of 36 movements †29.4% of 34 movements †26.8% of 41 movements †202221.4% of 28 movements †26.7% of 30 movements †8.6% of 35 movements †20.0% of 45 movements †52.3% of 44 movements †57.1% of 42 movements †34.0% of 47 movements †30.2% of 43 movements †44.2% of 43 movements †43.2% of 44 movements †18.4% of 38 movements †27.3% of 44 movements †202318.9% of 37 movements †17.6% of 34 movements †47.6% of 42 movements †29.5% of 44 movements †27.9% of 43 movements †37.2% of 43 movements †37.0% of 46 movements †36.4% of 44 movements †37.0% of 46 movements †11.4% of 44 movements †29.7% of 37 movements †26.8% of 41 movements †202417.5% of 40 movements †23.1% of 39 movements †27.5% of 40 movements †45.5% of 44 movements †27.9% of 43 movements †39.5% of 43 movements †27.3% of 44 movements †40.0% of 45 movements †54.5% of 44 movements †45.2% of 42 movements †34.1% of 41 movements †26.8% of 41 movements †202528.9% of 38 movements †19.4% of 36 movements †29.3% of 41 movements †31.0% of 42 movements †26.0% of 50 movements45.1% of 51 movements32.7% of 49 movements †25.5% of 55 movements43.1% of 51 movements51.9% of 54 movements25.0% of 48 movements †22.0% of 50 movements202634.7% of 49 movements †31.0% of 42 movements †30.0% of 50 movements12.5% of 48 movements †38.2% of 55 movements45.3% of 53 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan21.4%11.1–34.7%7 months, 248 flights
Feb19.4%9.1–31.0%7 months, 243 flights
Mar29.3%8.6–47.6%7 months, 285 flights
Apr20.0%4.7–45.5%7 months, 309 flights
May27.9%26.0–52.3%7 months, 330 flights
Jun39.5%20.0–57.1%7 months, 326 flights
Jul30.0%12.2–37.0%6 months, 284 flights
Aug27.8%14.0–40.0%6 months, 286 flights
Sep40.0%10.9–54.5%6 months, 277 flights
Oct34.9%9.5–51.9%6 months, 275 flights
Nov21.7%11.4–34.1%6 months, 233 flights
Dec26.8%17.6–27.3%6 months, 247 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 16.7% of 84 movements, Easyjet Uk 26.0% of 104 movements, Tui Airways 35.9% of 153 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 optionEasyjet Uk26.0% of 104 flightsJet2.Com39.2% of 263 flightsRyanair16.7% of 84 flightsTui Airways35.9% of 153 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Uk10426.0% of 104 movementsno events in 104 movementsno events in 104 movementsdescriptive comparison
Jet2.Com26339.2% of 263 movementsno events in 263 movements0.4% of 263 movementsdescriptive comparison
Monarch Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Norwegian Air Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair8416.7% of 84 movementsno events in 84 movementsno events in 84 movementsdescriptive comparison
Thomas Cook Airlinessuppressed: 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 Airways15335.9% of 153 movementsno events in 153 movements0.7% of 153 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, BOH had the lowest disruption share at 17.7% of 141 movements and MAN the highest at 49.0% of 838 movements. This route sits at 32.9% of 604 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 ↔ Las-Palmas32.1% of 162 flightsBoh ↔ Las-Palmas17.7% of 141 flightsBrs ↔ Las-Palmas38.6% of 546 flightsCwl ↔ Las-Palmas43.2% of 81 flightsEdi ↔ Las-Palmas35.6% of 351 flightsEma ↔ Las-Palmas26.5% of 377 flightsExt ↔ Las-Palmas †24.1% of 29 flightsGla ↔ Las-Palmas30.5% of 354 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Las-Palmassuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Las-Palmas16232.1% of 162 movementsno events in 162 movements1.2% of 162 movementsdescriptive comparison
Boh ↔ Las-Palmas14117.7% of 141 movementsno events in 141 movements0.7% of 141 movementsdescriptive comparison
Brs ↔ Las-Palmas54638.6% of 546 movements0.2% of 546 movements0.2% of 546 movementsdescriptive comparison
Cwl ↔ Las-Palmas8143.2% of 81 movementsno events in 81 movements1.2% of 81 movementsdescriptive comparison
Doncaster-Sheffield ↔ Las-Palmassuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Las-Palmas35135.6% of 351 movements0.3% of 351 movements0.3% of 351 movementsdescriptive comparison
Ema ↔ Las-Palmas37726.5% of 377 movementsno events in 377 movements0.3% of 377 movementsdescriptive comparison
Ext ↔ Las-Palmas2924.1% of 29 movements — small sample, not rankedno events in 29 movements — small sample, not rankedno events in 29 movements — small sample, not rankedsmall sample; not ranked
Gla ↔ Las-Palmas35430.5% of 354 movements0.6% of 354 movements0.3% of 354 movementsdescriptive comparison
Lba ↔ Las-Palmas21223.1% of 212 movements0.9% of 212 movements0.5% of 212 movementsdescriptive comparison
Lgw ↔ Las-Palmas91437.6% of 914 movements0.2% of 914 movements0.8% of 914 movementsdescriptive comparison
Lhr ↔ Las-Palmassuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Las-Palmas20318.7% of 203 movements1.0% of 203 movementsno events in 203 movementsdescriptive comparison
Ltn ↔ Las-Palmas41830.1% of 418 movements0.5% of 418 movements0.2% of 418 movementsdescriptive comparison
Man ↔ Las-Palmas83849.0% of 838 movements0.1% of 838 movements0.6% of 838 movementsdescriptive comparison
Ncl ↔ Las-Palmas35537.2% of 355 movementsno events in 355 movements0.6% of 355 movementsdescriptive comparison
Sen ↔ Las-Palmas15219.7% of 152 movementsno events in 152 movementsno events in 152 movementsdescriptive comparison
Stn ↔ Las-Palmas69328.7% of 693 movements0.3% of 693 movementsno events in 693 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into BHX ran 32.9% of 604 movements disrupted, departures 38.2% of 608 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 BHX32.9% of 604 movementsno events in 604 movements0.3% of 604 movements
Departures from BHX38.2% of 608 movementsno events in 608 movements0.3% of 608 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 202639 flights out of 3,70039 × £350 = £13,650
ArrivalsLast 72 months · Jul 2020–Jun 202622 flights out of 2,61722 × £350 = £7,700
DeparturesWhole archive · Jan 2018–Jun 202626 flights out of 3,71426 × £350 = £9,100
DeparturesLast 72 months · Jul 2020–Jun 202613 flights out of 2,62613 × £350 = £4,550
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 airportBIRMINGHAM · BHX
Final point / countryLAS PALMAS / SPAIN(CANARY ISLANDS)
Final point codesLPA / GCLP
Great-circle distance2,951 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.65
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 archive95

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: 1; all recorded operations: 605; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

32.9% of 604 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 604 movements in the same window.

How many delays crossed three hours?

0.3% of 604 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?

2,951 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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