UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ WROCLAW

In the twelve months from July 2025 to June 2026, 30.9% of 658 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, 69.1% of 658 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 329 crossed the three-hour mark. Lower is better on every figure on this page. These numbers describe what happened on the route; they are not a prediction for any individual flight.

Definitions, denominators and limits
  • “Disrupted” means an arrival more than fifteen minutes late or a short-notice cancellation. The denominator is operated movements plus short-notice cancellations.
  • Arrivals into the UK airport only; all published carriers.
  • Crossing three hours is one condition for compensation, but monthly data cannot establish any individual passenger’s rights.
  • Delay cause is not published in the open data.
  • Source: CAA punctuality statistics · snapshot 17/08/2026 10:24 · method route-record-v2.1.

0 operations (0.00%) excluded because their published percentages could not be reconciled to whole numbers. Excluded operations enter neither the numerator nor the denominator. Outcome figures and comparisons are unavailable when the excluded share exceeds fifteen percent.

The four numbers at a glance

In the twelve months from July 2025 to June 2026, 30.9% of 658 movements were disrupted and 0.5% of 658 movements were cancelled at short notice.

When a flight was late, it was typically late by the range shown below. The delay is given as a range, not a single number, because the regulator rounds its published percentages and never says how many flights landed exactly on time.

Disruption shareShort-notice cancellationsAverage delay among delayed flights only — boundsOperations
30.9% of 658 movements0.5% of 658 movements29.5–56.5 min; N of delayed flights=200–360658
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: 0.5% of 658 movements. “One in N” means how many arrivals you would typically see between events at that level.

Delay threshold ladder; count and share of known operations15 min30.4%30 min19.1%60 min7.6%120 min1.7%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min30.4% of 658 movements2003.3
>30 min19.1% of 658 movements1265.2
>60 min7.6% of 658 movements5013.2
>120 min1.7% of 658 movements1159.8
>180 min0.3% of 658 movements2329.0
>360 minno events in 658 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 early527.9%15–1 early24336.9%0–15 late16024.3%16–307411.2%31–607611.6%61…120395.9%121…18091.4%181…36020.3%>36000.0%D=658
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: Nov 2019, 3.8% of 52 movements. Worst month: Dec 2022, 47.2% 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: 15.4%; sample: 522018Feb 2018: 9.1%; sample: 44Mar 2018: 22.0%; sample: 50Apr 2018: 28.8%; sample: 52May 2018: 26.9%; sample: 52Jun 2018: 34.6%; sample: 52Jul 2018: 41.5%; sample: 53Aug 2018: 37.7%; sample: 53Sep 2018: 26.9%; sample: 52Oct 2018: 28.8%; sample: 52Nov 2018: 14.6%; sample: 48Dec 2018: 24.5%; sample: 49Jan 2019: 18.0%; sample: 502019Feb 2019: 13.6%; sample: 44Mar 2019: 10.4%; sample: 48Apr 2019: 14.8%; sample: 54May 2019: 9.4%; sample: 53Jun 2019: 17.3%; sample: 52Jul 2019: 28.3%; sample: 53Aug 2019: 22.6%; sample: 53Sep 2019: 19.2%; sample: 52Oct 2019: 9.6%; sample: 52Nov 2019: 3.8%; sample: 52Dec 2019: 12.2%; sample: 49Jan 2020: 5.6%; sample: 542020Feb 2020: 10.0%; sample: 50Mar 2020: 29.0%; sample: 31Apr 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: 3.1%; sample: 32Sep 2020: 6.9%; sample: 29Oct 2020: 3.3%; sample: 30Nov 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: 4.0%; sample: 25Jul 2021: 25.0%; sample: 36Aug 2021: 7.5%; sample: 40Sep 2021: 2.6%; sample: 38Oct 2021: 9.8%; sample: 41Nov 2021: 15.7%; sample: 51Dec 2021: 25.0%; sample: 48Jan 2022: 21.4%; sample: 282022Feb 2022: 20.0%; sample: 40Mar 2022: 3.8%; sample: 52Apr 2022: 28.6%; sample: 42May 2022: 26.7%; sample: 45Jun 2022: 37.2%; sample: 43Jul 2022: 37.2%; sample: 43Aug 2022: 44.4%; sample: 45Sep 2022: 34.9%; sample: 43Oct 2022: 37.8%; sample: 45Nov 2022: 19.2%; sample: 52Dec 2022: 47.2%; sample: 53Jan 2023: 17.9%; sample: 562023Feb 2023: 20.8%; sample: 48Mar 2023: 15.4%; sample: 52Apr 2023: 15.7%; sample: 51May 2023: 5.7%; sample: 53Jun 2023: 21.3%; sample: 47Jul 2023: 28.6%; sample: 49Aug 2023: 27.1%; sample: 48Sep 2023: 18.8%; sample: 48Oct 2023: 22.2%; sample: 54Nov 2023: 23.3%; sample: 60Dec 2023: 40.3%; sample: 67Jan 2024: 32.3%; sample: 652024Feb 2024: 15.5%; sample: 58Mar 2024: 8.2%; sample: 61Apr 2024: 19.6%; sample: 56May 2024: 19.0%; sample: 58Jun 2024: 40.7%; sample: 54Jul 2024: 43.9%; sample: 57Aug 2024: 38.3%; sample: 60Sep 2024: 40.0%; sample: 55Oct 2024: 18.0%; sample: 61Nov 2024: 26.9%; sample: 67Dec 2024: 33.3%; sample: 69Jan 2025: 34.9%; sample: 632025Feb 2025: 33.8%; sample: 68Mar 2025: 14.9%; sample: 74Apr 2025: 16.4%; sample: 61May 2025: 25.8%; sample: 66Jun 2025: 25.5%; sample: 55Jul 2025: 41.4%; sample: 58Aug 2025: 31.6%; sample: 57Sep 2025: 44.6%; sample: 56Oct 2025: 24.5%; sample: 49Nov 2025: suppressed: fewer than twenty movements×Dec 2025: 41.0%; sample: 61Jan 2026: 37.8%; sample: 452026Feb 2026: 45.6%; sample: 68Mar 2026: 24.0%; sample: 75Apr 2026: 15.9%; sample: 63May 2026: 10.6%; sample: 66Jun 2026: 26.7%; sample: 60Pandemic 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 201815.4% of 52 movements
Feb 20189.1% of 44 movements — small sample, not ranked
Mar 201822.0% of 50 movements
Apr 201828.8% of 52 movements
May 201826.9% of 52 movements
Jun 201834.6% of 52 movements
Jul 201841.5% of 53 movements
Aug 201837.7% of 53 movements
Sep 201826.9% of 52 movements
Oct 201828.8% of 52 movements
Nov 201814.6% of 48 movements — small sample, not ranked
Dec 201824.5% of 49 movements — small sample, not ranked
Jan 201918.0% of 50 movements
Feb 201913.6% of 44 movements — small sample, not ranked
Mar 201910.4% of 48 movements — small sample, not ranked
Apr 201914.8% of 54 movements
May 20199.4% of 53 movements
Jun 201917.3% of 52 movements
Jul 201928.3% of 53 movements
Aug 201922.6% of 53 movements
Sep 201919.2% of 52 movements
Oct 20199.6% of 52 movements
Nov 20193.8% of 52 movements
Dec 201912.2% of 49 movements — small sample, not ranked
Jan 20205.6% of 54 movements
Feb 202010.0% of 50 movements
Mar 202029.0% of 31 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 20203.1% of 32 movements — small sample, not ranked
Sep 20206.9% of 29 movements — small sample, not ranked
Oct 20203.3% of 30 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 20214.0% of 25 movements — small sample, not ranked
Jul 202125.0% of 36 movements — small sample, not ranked
Aug 20217.5% of 40 movements — small sample, not ranked
Sep 20212.6% of 38 movements — small sample, not ranked
Oct 20219.8% of 41 movements — small sample, not ranked
Nov 202115.7% of 51 movements
Dec 202125.0% of 48 movements — small sample, not ranked
Jan 202221.4% of 28 movements — small sample, not ranked
Feb 202220.0% of 40 movements — small sample, not ranked
Mar 20223.8% of 52 movements
Apr 202228.6% of 42 movements — small sample, not ranked
May 202226.7% of 45 movements — small sample, not ranked
Jun 202237.2% of 43 movements — small sample, not ranked
Jul 202237.2% of 43 movements — small sample, not ranked
Aug 202244.4% of 45 movements — small sample, not ranked
Sep 202234.9% of 43 movements — small sample, not ranked
Oct 202237.8% of 45 movements — small sample, not ranked
Nov 202219.2% of 52 movements
Dec 202247.2% of 53 movements
Jan 202317.9% of 56 movements
Feb 202320.8% of 48 movements — small sample, not ranked
Mar 202315.4% of 52 movements
Apr 202315.7% of 51 movements
May 20235.7% of 53 movements
Jun 202321.3% of 47 movements — small sample, not ranked
Jul 202328.6% of 49 movements — small sample, not ranked
Aug 202327.1% of 48 movements — small sample, not ranked
Sep 202318.8% of 48 movements — small sample, not ranked
Oct 202322.2% of 54 movements
Nov 202323.3% of 60 movements
Dec 202340.3% of 67 movements
Jan 202432.3% of 65 movements
Feb 202415.5% of 58 movements
Mar 20248.2% of 61 movements
Apr 202419.6% of 56 movements
May 202419.0% of 58 movements
Jun 202440.7% of 54 movements
Jul 202443.9% of 57 movements
Aug 202438.3% of 60 movements
Sep 202440.0% of 55 movements
Oct 202418.0% of 61 movements
Nov 202426.9% of 67 movements
Dec 202433.3% of 69 movements
Jan 202534.9% of 63 movements
Feb 202533.8% of 68 movements
Mar 202514.9% of 74 movements
Apr 202516.4% of 61 movements
May 202525.8% of 66 movements
Jun 202525.5% of 55 movements
Jul 202541.4% of 58 movements
Aug 202531.6% of 57 movements
Sep 202544.6% of 56 movements
Oct 202524.5% of 49 movements — small sample, not ranked
Nov 2025suppressed: fewer than twenty movements
Dec 202541.0% of 61 movements
Jan 202637.8% of 45 movements — small sample, not ranked
Feb 202645.6% of 68 movements
Mar 202624.0% of 75 movements
Apr 202615.9% of 63 movements
May 202610.6% of 66 movements
Jun 202626.7% of 60 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 2022Arrivals37.2% of 43 movements — small sample, not ranked18.6% across 504 flightsreturned after 6 months
Summer 2022 breakdown · Jul 2022Departures50.0% of 44 movements — small sample, not ranked20.8% across 504 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals27.1% of 48 movements — small sample, not ranked25.7% across 594 flightsreturned the next month
NATS system failure · Aug 2023Departures41.7% of 48 movements — small sample, not ranked32.3% across 592 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals14.9% of 74 movements29.7% across 729 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures17.3% of 75 movements41.9% across 728 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, 39.3% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 14.9% across 7 Marchs.

Even July has ranged from 28.3% to 43.9% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201918.0% of 50 movements13.6% of 44 movements †10.4% of 48 movements †14.8% of 54 movements9.4% of 53 movements17.3% of 52 movements28.3% of 53 movements22.6% of 53 movements19.2% of 52 movements9.6% of 52 movements3.8% of 52 movements12.2% of 49 movements †20205.6% of 54 movements10.0% of 50 movements29.0% of 31 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.1% of 32 movements †6.9% of 29 movements †3.3% of 30 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 movements4.0% of 25 movements †25.0% of 36 movements †7.5% of 40 movements †2.6% of 38 movements †9.8% of 41 movements †15.7% of 51 movements25.0% of 48 movements †202221.4% of 28 movements †20.0% of 40 movements †3.8% of 52 movements28.6% of 42 movements †26.7% of 45 movements †37.2% of 43 movements †37.2% of 43 movements †44.4% of 45 movements †34.9% of 43 movements †37.8% of 45 movements †19.2% of 52 movements47.2% of 53 movements202317.9% of 56 movements20.8% of 48 movements †15.4% of 52 movements15.7% of 51 movements5.7% of 53 movements21.3% of 47 movements †28.6% of 49 movements †27.1% of 48 movements †18.8% of 48 movements †22.2% of 54 movements23.3% of 60 movements40.3% of 67 movements202432.3% of 65 movements15.5% of 58 movements8.2% of 61 movements19.6% of 56 movements19.0% of 58 movements40.7% of 54 movements43.9% of 57 movements38.3% of 60 movements40.0% of 55 movements18.0% of 61 movements26.9% of 67 movements33.3% of 69 movements202534.9% of 63 movements33.8% of 68 movements14.9% of 74 movements16.4% of 61 movements25.8% of 66 movements25.5% of 55 movements41.4% of 58 movements31.6% of 57 movements44.6% of 56 movements24.5% of 49 movements †suppressed: fewer than twenty movements41.0% of 61 movements202637.8% of 45 movements †45.6% of 68 movements24.0% of 75 movements15.9% of 63 movements10.6% of 66 movements26.7% of 60 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan21.4%15.4–37.8%7 months, 359 flights
Feb20.0%9.1–45.6%7 months, 370 flights
Mar14.9%3.8–24.0%7 months, 412 flights
Apr16.4%14.8–28.8%7 months, 379 flights
May19.0%5.7–26.9%7 months, 393 flights
Jun26.7%17.3–40.7%7 months, 363 flights
Jul39.3%28.3–43.9%6 months, 313 flights
Aug34.7%22.6–44.4%6 months, 316 flights
Sep30.9%18.8–44.6%6 months, 306 flights
Oct23.4%9.6–37.8%6 months, 313 flights
Nov19.2%3.8–26.9%5 months, 279 flights
Dec36.8%12.2–47.2%6 months, 348 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, 30.9% of 658 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 optionRyanair30.9% of 658 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ryanair65830.9% of 658 movements0.5% of 658 movements0.3% of 658 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, NCL had the lowest disruption share at 8.4% of 95 movements and MAN the highest at 52.7% of 112 movements. This route sits at 30.9% of 658 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 optionBoh ↔ Wroclaw22.1% of 104 flightsBrs ↔ Wroclaw36.3% of 182 flightsEdi ↔ Wroclaw33.9% of 165 flightsEma ↔ Wroclaw36.3% of 201 flightsGla ↔ Wroclaw26.9% of 93 flightsLba ↔ Wroclaw26.3% of 152 flightsLgw ↔ Wroclaw32.4% of 108 flightsLpl ↔ Wroclaw36.3% of 124 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Wroclawsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Wroclawsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Wroclaw10422.1% of 104 movementsno events in 104 movementsno events in 104 movementsdescriptive comparison
Brs ↔ Wroclaw18236.3% of 182 movementsno events in 182 movementsno events in 182 movementsdescriptive comparison
Cwl ↔ Wroclawsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Wroclawsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Wroclaw16533.9% of 165 movementsno events in 165 movementsno events in 165 movementsdescriptive comparison
Ema ↔ Wroclaw20136.3% of 201 movementsno events in 201 movements0.5% of 201 movementsdescriptive comparison
Gla ↔ Wroclaw9326.9% of 93 movementsno events in 93 movementsno events in 93 movementsdescriptive comparison
Lba ↔ Wroclaw15226.3% of 152 movements1.3% of 152 movements0.7% of 152 movementsdescriptive comparison
Lgw ↔ Wroclaw10832.4% of 108 movementsno events in 108 movements1.9% of 108 movementsdescriptive comparison
Lpl ↔ Wroclaw12436.3% of 124 movements0.8% of 124 movements0.8% of 124 movementsdescriptive comparison
Ltn ↔ Wroclaw46121.3% of 461 movements0.4% of 461 movements0.4% of 461 movementsdescriptive comparison
Man ↔ Wroclaw11252.7% of 112 movementsno events in 112 movements0.9% of 112 movementsdescriptive comparison
Ncl ↔ Wroclaw958.4% of 95 movementsno events in 95 movementsno events in 95 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into STN ran 30.9% of 658 movements disrupted, departures 37.4% of 657 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 STN30.9% of 658 movements0.5% of 658 movements0.3% of 658 movements
Departures from STN37.4% of 657 movements0.3% of 657 movements0.3% of 657 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 202626 flights out of 4,73326 × £220 = £5,720
ArrivalsLast 72 months · Jul 2020–Jun 202610 flights out of 3,37610 × £220 = £2,200
DeparturesWhole archive · Jan 2018–Jun 202617 flights out of 4,72917 × £220 = £3,740
DeparturesLast 72 months · Jul 2020–Jun 202611 flights out of 3,37211 × £220 = £2,420
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 / countryWROCLAW / POLAND
Final point codesWRO / EPWR
Great-circle distance1,153 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.79
Presence in the latest twelve-month windowoperations are not present in every month; seasonality not established
First and last active monthJan 2018–Jun 2026
Months with operations in the archive97

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: 658; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

30.9% of 658 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.5% of 658 movements in the same window.

How many delays crossed three hours?

0.3% of 658 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?

1,153 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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