UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ KATOWICE

In the twelve months from July 2025 to June 2026, 17.9% of 587 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, 82.1% of 587 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 73 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, 17.9% of 587 movements were disrupted and 0.3% of 587 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
17.9% of 587 movements0.3% of 587 movements27.8–82.8 min; N of delayed flights=103–286587
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 0.3% of 587 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 min17.5%30 min10.6%60 min5.5%120 min2.6%180 min1.4%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min17.5% of 587 movements1035.7
>30 min10.6% of 587 movements629.5
>60 min5.5% of 587 movements3218.3
>120 min2.6% of 587 movements1539.1
>180 min1.4% of 587 movements873.4
>360 min0.2% of 587 movements1587.0
Definitions, denominators and limits

CAA counts delays strictly greater than each threshold, so exactly three hours is inseparable from the previous bucket. The ladder describes the archive, not a forecast.

Slightly late, or occasionally a disaster?

This route runs late less often than most, but when it does go wrong it tends to go badly wrong: its long delays are heavier than on the typical UK route.

The histogram below counts every recorded arrival, from more than fifteen minutes early through to more than six hours late. A tall bar near the middle and a thin right-hand tail is the healthy shape.

Nine delay buckets, minutes; share of all recorded operations>15 early8815.0%15–1 early21135.9%0–15 late18331.2%16–30417.0%31–60305.1%61…120172.9%121…18071.2%181…36071.2%>36010.2%D=587
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.1127; 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 2025, 1.9% of 54 movements. Worst month: Sep 2022, 50.8% 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: 16.2%; sample: 802018Feb 2018: 20.0%; sample: 70Mar 2018: 24.1%; sample: 79Apr 2018: 20.2%; sample: 89May 2018: 23.0%; sample: 87Jun 2018: 26.7%; sample: 75Jul 2018: 26.2%; sample: 84Aug 2018: 26.2%; sample: 84Sep 2018: 12.3%; sample: 81Oct 2018: 10.0%; sample: 90Nov 2018: 11.0%; sample: 73Dec 2018: 13.4%; sample: 82Jan 2019: 20.3%; sample: 792019Feb 2019: 8.8%; sample: 68Mar 2019: 15.8%; sample: 76Apr 2019: 4.8%; sample: 84May 2019: 4.4%; sample: 90Jun 2019: 14.6%; sample: 82Jul 2019: 12.2%; sample: 82Aug 2019: 8.0%; sample: 75Sep 2019: 33.8%; sample: 71Oct 2019: 22.9%; sample: 70Nov 2019: 21.1%; sample: 57Dec 2019: 18.3%; sample: 71Jan 2020: 6.3%; sample: 632020Feb 2020: 38.5%; sample: 52Mar 2020: 40.0%; sample: 35Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 10.3%; sample: 39Aug 2020: 2.3%; sample: 44Sep 2020: 2.4%; sample: 41Oct 2020: 5.0%; sample: 20Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 40.7%; sample: 27Jan 2021: suppressed: fewer than twenty movements×2021Feb 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: 17.4%; sample: 23Aug 2021: 17.5%; sample: 40Sep 2021: 21.3%; sample: 47Oct 2021: 20.0%; sample: 40Nov 2021: 12.1%; sample: 33Dec 2021: 25.0%; sample: 48Jan 2022: 12.1%; sample: 332022Feb 2022: 8.7%; sample: 23Mar 2022: 2.8%; sample: 36Apr 2022: 35.0%; sample: 60May 2022: 12.9%; sample: 62Jun 2022: 46.7%; sample: 60Jul 2022: 37.9%; sample: 58Aug 2022: 30.5%; sample: 59Sep 2022: 50.8%; sample: 59Oct 2022: 29.0%; sample: 62Nov 2022: 5.1%; sample: 39Dec 2022: 19.6%; sample: 56Jan 2023: 18.8%; sample: 482023Feb 2023: 17.0%; sample: 47Mar 2023: 20.0%; sample: 55Apr 2023: 27.1%; sample: 59May 2023: 17.7%; sample: 62Jun 2023: 28.3%; sample: 60Jul 2023: 31.1%; sample: 61Aug 2023: 19.0%; sample: 63Sep 2023: 11.7%; sample: 60Oct 2023: 19.4%; sample: 62Nov 2023: 13.7%; sample: 51Dec 2023: 27.3%; sample: 55Jan 2024: 22.2%; sample: 542024Feb 2024: 8.2%; sample: 49Mar 2024: 7.4%; sample: 54Apr 2024: 6.7%; sample: 60May 2024: 19.0%; sample: 63Jun 2024: 19.6%; sample: 56Jul 2024: 34.0%; sample: 53Aug 2024: 34.0%; sample: 53Sep 2024: 17.3%; sample: 52Oct 2024: 21.0%; sample: 62Nov 2024: 23.0%; sample: 61Dec 2024: 19.4%; sample: 62Jan 2025: 27.4%; sample: 622025Feb 2025: 8.9%; sample: 56Mar 2025: 1.9%; sample: 54Apr 2025: 7.7%; sample: 52May 2025: 13.2%; sample: 53Jun 2025: 11.5%; sample: 52Jul 2025: 17.0%; sample: 53Aug 2025: 20.8%; sample: 53Sep 2025: 26.9%; sample: 52Oct 2025: 15.4%; sample: 52Nov 2025: 17.0%; sample: 47Dec 2025: 20.0%; sample: 60Jan 2026: 29.2%; sample: 482026Feb 2026: 23.7%; sample: 38Mar 2026: 2.4%; sample: 41Apr 2026: 17.0%; sample: 47May 2026: 8.2%; sample: 49Jun 2026: 14.9%; sample: 47Pandemic 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 201816.2% of 80 movements
Feb 201820.0% of 70 movements
Mar 201824.1% of 79 movements
Apr 201820.2% of 89 movements
May 201823.0% of 87 movements
Jun 201826.7% of 75 movements
Jul 201826.2% of 84 movements
Aug 201826.2% of 84 movements
Sep 201812.3% of 81 movements
Oct 201810.0% of 90 movements
Nov 201811.0% of 73 movements
Dec 201813.4% of 82 movements
Jan 201920.3% of 79 movements
Feb 20198.8% of 68 movements
Mar 201915.8% of 76 movements
Apr 20194.8% of 84 movements
May 20194.4% of 90 movements
Jun 201914.6% of 82 movements
Jul 201912.2% of 82 movements
Aug 20198.0% of 75 movements
Sep 201933.8% of 71 movements
Oct 201922.9% of 70 movements
Nov 201921.1% of 57 movements
Dec 201918.3% of 71 movements
Jan 20206.3% of 63 movements
Feb 202038.5% of 52 movements
Mar 202040.0% 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 202010.3% of 39 movements — small sample, not ranked
Aug 20202.3% of 44 movements — small sample, not ranked
Sep 20202.4% of 41 movements — small sample, not ranked
Oct 20205.0% of 20 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 202040.7% of 27 movements — small sample, not ranked
Jan 2021suppressed: fewer than twenty movements
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 202117.4% of 23 movements — small sample, not ranked
Aug 202117.5% of 40 movements — small sample, not ranked
Sep 202121.3% of 47 movements — small sample, not ranked
Oct 202120.0% of 40 movements — small sample, not ranked
Nov 202112.1% of 33 movements — small sample, not ranked
Dec 202125.0% of 48 movements — small sample, not ranked
Jan 202212.1% of 33 movements — small sample, not ranked
Feb 20228.7% of 23 movements — small sample, not ranked
Mar 20222.8% of 36 movements — small sample, not ranked
Apr 202235.0% of 60 movements
May 202212.9% of 62 movements
Jun 202246.7% of 60 movements
Jul 202237.9% of 58 movements
Aug 202230.5% of 59 movements
Sep 202250.8% of 59 movements
Oct 202229.0% of 62 movements
Nov 20225.1% of 39 movements — small sample, not ranked
Dec 202219.6% of 56 movements
Jan 202318.8% of 48 movements — small sample, not ranked
Feb 202317.0% of 47 movements — small sample, not ranked
Mar 202320.0% of 55 movements
Apr 202327.1% of 59 movements
May 202317.7% of 62 movements
Jun 202328.3% of 60 movements
Jul 202331.1% of 61 movements
Aug 202319.0% of 63 movements
Sep 202311.7% of 60 movements
Oct 202319.4% of 62 movements
Nov 202313.7% of 51 movements
Dec 202327.3% of 55 movements
Jan 202422.2% of 54 movements
Feb 20248.2% of 49 movements — small sample, not ranked
Mar 20247.4% of 54 movements
Apr 20246.7% of 60 movements
May 202419.0% of 63 movements
Jun 202419.6% of 56 movements
Jul 202434.0% of 53 movements
Aug 202434.0% of 53 movements
Sep 202417.3% of 52 movements
Oct 202421.0% of 62 movements
Nov 202423.0% of 61 movements
Dec 202419.4% of 62 movements
Jan 202527.4% of 62 movements
Feb 20258.9% of 56 movements
Mar 20251.9% of 54 movements
Apr 20257.7% of 52 movements
May 202513.2% of 53 movements
Jun 202511.5% of 52 movements
Jul 202517.0% of 53 movements
Aug 202520.8% of 53 movements
Sep 202526.9% of 52 movements
Oct 202515.4% of 52 movements
Nov 202517.0% of 47 movements — small sample, not ranked
Dec 202520.0% of 60 movements
Jan 202629.2% of 48 movements — small sample, not ranked
Feb 202623.7% of 38 movements — small sample, not ranked
Mar 20262.4% of 41 movements — small sample, not ranked
Apr 202617.0% of 47 movements — small sample, not ranked
May 20268.2% of 49 movements — small sample, not ranked
Jun 202614.9% of 47 movements — small sample, not ranked

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 2022Arrivals37.9% of 58 movements19.3% across 505 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures89.8% of 59 movements43.1% across 505 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals19.0% of 63 movements24.6% across 667 flightsreturned the next month
NATS system failure · Aug 2023Departures28.6% of 63 movements57.7% across 669 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals1.9% of 54 movements19.8% across 694 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.0% of 54 movements34.2% across 692 flightsreturned the next month
Definitions, denominators and limits

The baseline is the unweighted mean share over the twelve preceding calendar months. The return window is the following eight months, up to the end of the archive. Return means the first observed value at or below the baseline; it is not the duration of the disruption itself. If the event month is already below the baseline, counting still starts the month after. Gaps and suppressed cells are not treated as zeros or as recovery.

Which time of year has historically been hardest?

July has historically been the hardest month on this route: in a typical July, 28.7% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 7.4% across 7 Marchs.

Even July has ranged from 12.2% to 37.9% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201920.3% of 79 movements8.8% of 68 movements15.8% of 76 movements4.8% of 84 movements4.4% of 90 movements14.6% of 82 movements12.2% of 82 movements8.0% of 75 movements33.8% of 71 movements22.9% of 70 movements21.1% of 57 movements18.3% of 71 movements20206.3% of 63 movements38.5% of 52 movements40.0% of 35 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements10.3% of 39 movements †2.3% of 44 movements †2.4% of 41 movements †5.0% of 20 movements †suppressed: fewer than twenty movements40.7% of 27 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements17.4% of 23 movements †17.5% of 40 movements †21.3% of 47 movements †20.0% of 40 movements †12.1% of 33 movements †25.0% of 48 movements †202212.1% of 33 movements †8.7% of 23 movements †2.8% of 36 movements †35.0% of 60 movements12.9% of 62 movements46.7% of 60 movements37.9% of 58 movements30.5% of 59 movements50.8% of 59 movements29.0% of 62 movements5.1% of 39 movements †19.6% of 56 movements202318.8% of 48 movements †17.0% of 47 movements †20.0% of 55 movements27.1% of 59 movements17.7% of 62 movements28.3% of 60 movements31.1% of 61 movements19.0% of 63 movements11.7% of 60 movements19.4% of 62 movements13.7% of 51 movements27.3% of 55 movements202422.2% of 54 movements8.2% of 49 movements †7.4% of 54 movements6.7% of 60 movements19.0% of 63 movements19.6% of 56 movements34.0% of 53 movements34.0% of 53 movements17.3% of 52 movements21.0% of 62 movements23.0% of 61 movements19.4% of 62 movements202527.4% of 62 movements8.9% of 56 movements1.9% of 54 movements7.7% of 52 movements13.2% of 53 movements11.5% of 52 movements17.0% of 53 movements20.8% of 53 movements26.9% of 52 movements15.4% of 52 movements17.0% of 47 movements †20.0% of 60 movements202629.2% of 48 movements †23.7% of 38 movements †2.4% of 41 movements †17.0% of 47 movements †8.2% of 49 movements †14.9% of 47 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan20.3%12.1–29.2%7 months, 404 flights
Feb8.9%8.2–23.7%7 months, 351 flights
Mar7.4%1.9–24.1%7 months, 395 flights
Apr17.0%4.8–35.0%7 months, 451 flights
May13.2%4.4–23.0%7 months, 466 flights
Jun19.6%11.5–46.7%7 months, 432 flights
Jul28.7%12.2–37.9%6 months, 391 flights
Aug23.5%8.0–34.0%6 months, 387 flights
Sep22.1%11.7–50.8%6 months, 375 flights
Oct20.2%10.0–29.0%6 months, 398 flights
Nov15.4%5.1–23.0%6 months, 328 flights
Dec19.5%13.4–27.3%6 months, 386 flights
Definitions, denominators and limits

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

Which airline has the better record here?

Only one carrier published enough flights here to report: Wizz Air, 17.0% of 581 movements disrupted.

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

Observed disruption share by optionWizz Air17.0% of 581 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Enter Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Air58117.0% of 581 movements0.2% of 581 movements0.9% of 581 movementsdescriptive comparison
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, MAN had the lowest disruption share at 18.8% of 160 movements and LPL the highest at 23.1% of 52 movements. This route sits at 17.9% of 587 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 optionLpl ↔ Katowice23.1% of 52 flightsMan ↔ Katowice18.8% of 160 flightsStn ↔ Katowice21.2% of 562 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Katowicesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Katowicesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Katowicesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Katowicesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Katowicesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Katowicesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Katowicesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Katowicesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Katowicesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Katowicesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Katowicesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Katowicesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Katowice5223.1% of 52 movementsno events in 52 movements1.9% of 52 movementsdescriptive comparison
Man ↔ Katowice16018.8% of 160 movementsno events in 160 movements1.2% of 160 movementsdescriptive comparison
Ncl ↔ Katowicesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Katowice56221.2% of 562 movements0.2% of 562 movements0.7% of 562 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LTN ran 17.9% of 587 movements disrupted, departures 27.7% of 582 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 LTN17.9% of 587 movements0.3% of 587 movements1.4% of 587 movements
Departures from LTN27.7% of 582 movements0.2% of 582 movements1.2% of 582 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 202659 flights out of 5,42559 × £220 = £12,980
ArrivalsLast 72 months · Jul 2020–Jun 202644 flights out of 3,37944 × £220 = £9,680
DeparturesWhole archive · Jan 2018–Jun 202673 flights out of 5,40973 × £220 = £16,060
DeparturesLast 72 months · Jul 2020–Jun 202653 flights out of 3,37053 × £220 = £11,660
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 / countryKATOWICE / POLAND
Final point codesKTW / EPKT
Great-circle distance1,361 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.60
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: 587; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

17.9% of 587 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.3% of 587 movements in the same window.

How many delays crossed three hours?

1.4% of 587 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

rare but severe. The class compares the tail with short delays across routes in the corpus.

What distance is used?

1,361 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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