UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ POZNAN

In the twelve months from July 2025 to June 2026, 16.3% of 637 movements arriving into STN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 83.7% of 637 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 637 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, 16.3% of 637 movements were disrupted and 0.2% of 637 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
16.3% of 637 movements0.2% of 637 movements26.2–61.9 min; N of delayed flights=103–219637
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: 0.2% of 637 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 min16.2%30 min10.2%60 min4.4%120 min1.1%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min16.2% of 637 movements1036.2
>30 min10.2% of 637 movements659.8
>60 min4.4% of 637 movements2822.8
>120 min1.1% of 637 movements791.0
>180 min0.2% of 637 movements1637.0
>360 minno events in 637 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 early15223.9%15–1 early26541.6%0–15 late11618.2%16–30386.0%31–60375.8%61…120213.3%121…18060.9%181…36010.2%>36000.0%D=637
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0133; 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: May 2025, 7.4% of 54 movements. Worst month: Jun 2024, 34.0% of 53 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: 29.3%; sample: 412018Feb 2018: 19.4%; sample: 36Mar 2018: 30.8%; sample: 39Apr 2018: 59.0%; sample: 39May 2018: 55.0%; sample: 40Jun 2018: 68.4%; sample: 38Jul 2018: 75.0%; sample: 40Aug 2018: 77.5%; sample: 40Sep 2018: 56.4%; sample: 39Oct 2018: 42.5%; sample: 40Nov 2018: 18.4%; sample: 38Dec 2018: 30.0%; sample: 40Jan 2019: 26.8%; sample: 412019Feb 2019: 13.5%; sample: 37Mar 2019: 10.0%; sample: 40Apr 2019: 17.9%; sample: 39May 2019: 20.0%; sample: 40Jun 2019: 31.6%; sample: 38Jul 2019: 30.0%; sample: 40Aug 2019: 35.0%; sample: 40Sep 2019: 23.1%; sample: 39Oct 2019: 23.1%; sample: 39Nov 2019: 2.6%; sample: 39Dec 2019: 7.5%; sample: 40Jan 2020: 2.4%; sample: 412020Feb 2020: 10.8%; sample: 37Mar 2020: 21.7%; sample: 23Apr 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: 7.4%; sample: 27Sep 2020: 0.0%; sample: 25Oct 2020: 4.3%; sample: 23Nov 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: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: 3.8%; sample: 26Aug 2021: 0.0%; sample: 31Sep 2021: 6.7%; sample: 30Oct 2021: 9.4%; sample: 32Nov 2021: 7.9%; sample: 38Dec 2021: 37.8%; sample: 37Jan 2022: suppressed: fewer than twenty movements×2022Feb 2022: 21.4%; sample: 28Mar 2022: 0.0%; sample: 40Apr 2022: 16.3%; sample: 43May 2022: 0.0%; sample: 39Jun 2022: 12.8%; sample: 39Jul 2022: 5.1%; sample: 39Aug 2022: 12.2%; sample: 41Sep 2022: 5.1%; sample: 39Oct 2022: 17.9%; sample: 39Nov 2022: 38.5%; sample: 39Dec 2022: 66.7%; sample: 36Jan 2023: 34.1%; sample: 412023Feb 2023: 27.8%; sample: 36Mar 2023: 43.6%; sample: 39Apr 2023: 17.9%; sample: 39May 2023: 12.5%; sample: 40Jun 2023: 23.7%; sample: 38Jul 2023: 17.5%; sample: 40Aug 2023: 27.5%; sample: 40Sep 2023: 23.1%; sample: 39Oct 2023: 25.0%; sample: 40Nov 2023: 26.3%; sample: 38Dec 2023: 46.5%; sample: 43Jan 2024: 34.1%; sample: 412024Feb 2024: 13.5%; sample: 37Mar 2024: 9.8%; sample: 41Apr 2024: 10.4%; sample: 48May 2024: 17.6%; sample: 51Jun 2024: 34.0%; sample: 53Jul 2024: 31.2%; sample: 48Aug 2024: 24.5%; sample: 49Sep 2024: 30.0%; sample: 50Oct 2024: 22.9%; sample: 48Nov 2024: 12.5%; sample: 48Dec 2024: 25.0%; sample: 56Jan 2025: 31.7%; sample: 412025Feb 2025: 18.2%; sample: 44Mar 2025: 6.1%; sample: 49Apr 2025: 11.3%; sample: 53May 2025: 7.4%; sample: 54Jun 2025: 23.4%; sample: 47Jul 2025: 30.6%; sample: 49Aug 2025: 25.0%; sample: 48Sep 2025: 25.0%; sample: 48Oct 2025: 14.3%; sample: 49Nov 2025: 16.4%; sample: 55Dec 2025: 16.7%; sample: 60Jan 2026: 16.7%; sample: 602026Feb 2026: 15.4%; sample: 52Mar 2026: 8.8%; sample: 57Apr 2026: 7.4%; sample: 54May 2026: 7.5%; sample: 53Jun 2026: 15.4%; sample: 52Pandemic 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 201829.3% of 41 movements — small sample, not ranked
Feb 201819.4% of 36 movements — small sample, not ranked
Mar 201830.8% of 39 movements — small sample, not ranked
Apr 201859.0% of 39 movements — small sample, not ranked
May 201855.0% of 40 movements — small sample, not ranked
Jun 201868.4% of 38 movements — small sample, not ranked
Jul 201875.0% of 40 movements — small sample, not ranked
Aug 201877.5% of 40 movements — small sample, not ranked
Sep 201856.4% of 39 movements — small sample, not ranked
Oct 201842.5% of 40 movements — small sample, not ranked
Nov 201818.4% of 38 movements — small sample, not ranked
Dec 201830.0% of 40 movements — small sample, not ranked
Jan 201926.8% of 41 movements — small sample, not ranked
Feb 201913.5% of 37 movements — small sample, not ranked
Mar 201910.0% of 40 movements — small sample, not ranked
Apr 201917.9% of 39 movements — small sample, not ranked
May 201920.0% of 40 movements — small sample, not ranked
Jun 201931.6% of 38 movements — small sample, not ranked
Jul 201930.0% of 40 movements — small sample, not ranked
Aug 201935.0% of 40 movements — small sample, not ranked
Sep 201923.1% of 39 movements — small sample, not ranked
Oct 201923.1% of 39 movements — small sample, not ranked
Nov 20192.6% of 39 movements — small sample, not ranked
Dec 20197.5% of 40 movements — small sample, not ranked
Jan 20202.4% of 41 movements — small sample, not ranked
Feb 202010.8% of 37 movements — small sample, not ranked
Mar 202021.7% of 23 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 20207.4% of 27 movements — small sample, not ranked
Sep 2020no events in 25 movements — small sample, not ranked
Oct 20204.3% of 23 movements — small sample, not ranked
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 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 2021suppressed: fewer than twenty movements
Jul 20213.8% of 26 movements — small sample, not ranked
Aug 2021no events in 31 movements — small sample, not ranked
Sep 20216.7% of 30 movements — small sample, not ranked
Oct 20219.4% of 32 movements — small sample, not ranked
Nov 20217.9% of 38 movements — small sample, not ranked
Dec 202137.8% of 37 movements — small sample, not ranked
Jan 2022suppressed: fewer than twenty movements
Feb 202221.4% of 28 movements — small sample, not ranked
Mar 2022no events in 40 movements — small sample, not ranked
Apr 202216.3% of 43 movements — small sample, not ranked
May 2022no events in 39 movements — small sample, not ranked
Jun 202212.8% of 39 movements — small sample, not ranked
Jul 20225.1% of 39 movements — small sample, not ranked
Aug 202212.2% of 41 movements — small sample, not ranked
Sep 20225.1% of 39 movements — small sample, not ranked
Oct 202217.9% of 39 movements — small sample, not ranked
Nov 202238.5% of 39 movements — small sample, not ranked
Dec 202266.7% of 36 movements — small sample, not ranked
Jan 202334.1% of 41 movements — small sample, not ranked
Feb 202327.8% of 36 movements — small sample, not ranked
Mar 202343.6% of 39 movements — small sample, not ranked
Apr 202317.9% of 39 movements — small sample, not ranked
May 202312.5% of 40 movements — small sample, not ranked
Jun 202323.7% of 38 movements — small sample, not ranked
Jul 202317.5% of 40 movements — small sample, not ranked
Aug 202327.5% of 40 movements — small sample, not ranked
Sep 202323.1% of 39 movements — small sample, not ranked
Oct 202325.0% of 40 movements — small sample, not ranked
Nov 202326.3% of 38 movements — small sample, not ranked
Dec 202346.5% of 43 movements — small sample, not ranked
Jan 202434.1% of 41 movements — small sample, not ranked
Feb 202413.5% of 37 movements — small sample, not ranked
Mar 20249.8% of 41 movements — small sample, not ranked
Apr 202410.4% of 48 movements — small sample, not ranked
May 202417.6% of 51 movements
Jun 202434.0% of 53 movements
Jul 202431.2% of 48 movements — small sample, not ranked
Aug 202424.5% of 49 movements — small sample, not ranked
Sep 202430.0% of 50 movements
Oct 202422.9% of 48 movements — small sample, not ranked
Nov 202412.5% of 48 movements — small sample, not ranked
Dec 202425.0% of 56 movements
Jan 202531.7% of 41 movements — small sample, not ranked
Feb 202518.2% of 44 movements — small sample, not ranked
Mar 20256.1% of 49 movements — small sample, not ranked
Apr 202511.3% of 53 movements
May 20257.4% of 54 movements
Jun 202523.4% of 47 movements — small sample, not ranked
Jul 202530.6% of 49 movements — small sample, not ranked
Aug 202525.0% of 48 movements — small sample, not ranked
Sep 202525.0% of 48 movements — small sample, not ranked
Oct 202514.3% of 49 movements — small sample, not ranked
Nov 202516.4% of 55 movements
Dec 202516.7% of 60 movements
Jan 202616.7% of 60 movements
Feb 202615.4% of 52 movements
Mar 20268.8% of 57 movements
Apr 20267.4% of 54 movements
May 20267.5% of 53 movements
Jun 202615.4% of 52 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 2022Arrivals5.1% of 39 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures30.8% of 39 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals27.5% of 40 movements — small sample, not ranked26.5% across 467 flightsreturned the next month
NATS system failure · Aug 2023Departures32.5% of 40 movements — small sample, not ranked34.6% across 467 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals6.1% of 49 movements — small sample, not ranked22.3% across 577 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.4% of 49 movements — small sample, not ranked33.5% across 575 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?

January has historically been the hardest month on this route: in a typical January, 30.5% of arrivals were disrupted, measured across 6 Januarys in the archive. March has been the calmest, at 9.8% across 7 Marchs.

Even January has ranged from 16.7% to 34.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201926.8% of 41 movements †13.5% of 37 movements †10.0% of 40 movements †17.9% of 39 movements †20.0% of 40 movements †31.6% of 38 movements †30.0% of 40 movements †35.0% of 40 movements †23.1% of 39 movements †23.1% of 39 movements †2.6% of 39 movements †7.5% of 40 movements †20202.4% of 41 movements †10.8% of 37 movements †21.7% of 23 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements7.4% of 27 movements †no events in 25 movements †4.3% of 23 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.8% of 26 movements †no events in 31 movements †6.7% of 30 movements †9.4% of 32 movements †7.9% of 38 movements †37.8% of 37 movements †2022suppressed: fewer than twenty movements21.4% of 28 movements †no events in 40 movements †16.3% of 43 movements †no events in 39 movements †12.8% of 39 movements †5.1% of 39 movements †12.2% of 41 movements †5.1% of 39 movements †17.9% of 39 movements †38.5% of 39 movements †66.7% of 36 movements †202334.1% of 41 movements †27.8% of 36 movements †43.6% of 39 movements †17.9% of 39 movements †12.5% of 40 movements †23.7% of 38 movements †17.5% of 40 movements †27.5% of 40 movements †23.1% of 39 movements †25.0% of 40 movements †26.3% of 38 movements †46.5% of 43 movements †202434.1% of 41 movements †13.5% of 37 movements †9.8% of 41 movements †10.4% of 48 movements †17.6% of 51 movements34.0% of 53 movements31.2% of 48 movements †24.5% of 49 movements †30.0% of 50 movements22.9% of 48 movements †12.5% of 48 movements †25.0% of 56 movements202531.7% of 41 movements †18.2% of 44 movements †6.1% of 49 movements †11.3% of 53 movements7.4% of 54 movements23.4% of 47 movements †30.6% of 49 movements †25.0% of 48 movements †25.0% of 48 movements †14.3% of 49 movements †16.4% of 55 movements16.7% of 60 movements202616.7% of 60 movements15.4% of 52 movements8.8% of 57 movements7.4% of 54 movements7.5% of 53 movements15.4% of 52 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan30.5%16.7–34.1%6 months, 265 flights
Feb18.2%13.5–27.8%7 months, 270 flights
Mar9.8%0.0–43.6%7 months, 305 flights
Apr16.3%7.4–59.0%7 months, 315 flights
May12.5%0.0–55.0%7 months, 317 flights
Jun23.7%12.8–68.4%7 months, 305 flights
Jul30.3%5.1–75.0%6 months, 256 flights
Aug26.2%12.2–77.5%6 months, 258 flights
Sep24.0%5.1–56.4%6 months, 254 flights
Oct23.0%14.3–42.5%6 months, 255 flights
Nov17.4%2.6–38.5%6 months, 257 flights
Dec27.5%7.5–66.7%6 months, 275 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: Ryanair, 16.3% of 620 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 optionRyanair16.3% of 620 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ryanair62016.3% of 620 movements0.2% of 620 movements0.2% of 620 movementsdescriptive comparison
Ryanair 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, LBA had the lowest disruption share at 10.4% of 77 movements and EDI the highest at 39.4% of 236 movements. This route sits at 16.3% of 637 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 optionBhx ↔ Poznan36.6% of 123 flightsBrs ↔ Poznan17.1% of 117 flightsEdi ↔ Poznan39.4% of 236 flightsLba ↔ Poznan10.4% of 77 flightsLpl ↔ Poznan32.3% of 155 flightsLtn ↔ Poznan18.8% of 340 flightsMan ↔ Poznan32.8% of 122 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Poznan12336.6% of 123 movementsno events in 123 movementsno events in 123 movementsdescriptive comparison
Brs ↔ Poznan11717.1% of 117 movementsno events in 117 movementsno events in 117 movementsdescriptive comparison
Cwl ↔ Poznansuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Poznansuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Poznan23639.4% of 236 movementsno events in 236 movements0.4% of 236 movementsdescriptive comparison
Gla ↔ Poznansuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Poznan7710.4% of 77 movementsno events in 77 movementsno events in 77 movementsdescriptive comparison
Lgw ↔ Poznansuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Poznan15532.3% of 155 movements1.3% of 155 movementsno events in 155 movementsdescriptive comparison
Ltn ↔ Poznan34018.8% of 340 movementsno events in 340 movements2.4% of 340 movementsdescriptive comparison
Man ↔ Poznan12232.8% of 122 movements0.8% of 122 movements0.8% of 122 movementsdescriptive comparison
Ncl ↔ Poznansuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Yes: arrivals into STN ran 16.3% of 637 movements disrupted, departures 27.2% of 637 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 STN16.3% of 637 movements0.2% of 637 movements0.2% of 637 movements
Departures from STN27.2% of 637 movementsno events in 637 movements0.2% of 637 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 202616 flights out of 3,79416 × £220 = £3,520
ArrivalsLast 72 months · Jul 2020–Jun 202611 flights out of 2,75111 × £220 = £2,420
DeparturesWhole archive · Jan 2018–Jun 202614 flights out of 3,78914 × £220 = £3,080
DeparturesLast 72 months · Jul 2020–Jun 20266 flights out of 2,7466 × £220 = £1,320
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 airportSTANSTED · STN
Final point / countryPOZNAN / POLAND
Final point codesPOZ / EPPO
Great-circle distance1,131 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.74
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 archive98

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: 637; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

16.3% of 637 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.2% of 637 movements in the same window.

How many delays crossed three hours?

0.2% of 637 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?

1,131 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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