UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ WARSAW MODLIN MASOVIA

In the twelve months from July 2025 to June 2026, 19.6% of 504 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, 80.4% of 504 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 84 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, 19.6% of 504 movements were disrupted and 0.2% of 504 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
19.6% of 504 movements0.2% of 504 movements28.9–68.7 min; N of delayed flights=98–216504
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 504 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 min19.4%30 min10.9%60 min4.8%120 min1.8%180 min1.2%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min19.4% of 504 movements985.1
>30 min10.9% of 504 movements559.2
>60 min4.8% of 504 movements2421.0
>120 min1.8% of 504 movements956.0
>180 min1.2% of 504 movements684.0
>360 min0.2% of 504 movements1504.0
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 early8216.3%15–1 early20540.7%0–15 late11823.4%16–30438.5%31–60316.2%61…120153.0%121…18030.6%181…36051.0%>36010.2%D=504
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0811; 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: Sep 2020, no events in 60 movements. Worst month: Jun 2018, 67.9% of 109 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: 31.1%; sample: 1032018Feb 2018: 15.4%; sample: 91Mar 2018: 27.9%; sample: 104Apr 2018: 50.0%; sample: 108May 2018: 50.5%; sample: 109Jun 2018: 67.9%; sample: 109Jul 2018: 66.1%; sample: 115Aug 2018: 50.4%; sample: 115Sep 2018: 40.5%; sample: 111Oct 2018: 38.7%; sample: 111Nov 2018: 17.0%; sample: 100Dec 2018: 20.2%; sample: 94Jan 2019: 18.8%; sample: 1012019Feb 2019: 12.9%; sample: 93Mar 2019: 7.9%; sample: 101Apr 2019: 20.6%; sample: 107May 2019: 17.1%; sample: 111Jun 2019: 30.8%; sample: 107Jul 2019: 25.0%; sample: 80Aug 2019: 22.8%; sample: 79Sep 2019: 20.5%; sample: 78Oct 2019: 12.9%; sample: 85Nov 2019: 4.4%; sample: 90Dec 2019: 12.0%; sample: 92Jan 2020: 5.2%; sample: 972020Feb 2020: 17.2%; sample: 87Mar 2020: 20.8%; sample: 53Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 0.0%; sample: 31Aug 2020: 6.5%; sample: 62Sep 2020: 0.0%; sample: 60Oct 2020: 5.4%; sample: 56Nov 2020: 0.0%; sample: 28Dec 2020: suppressed: fewer than twenty movements×Jan 2021: 20.8%; sample: 242021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: 5.0%; sample: 20Jun 2021: 2.6%; sample: 38Jul 2021: 10.4%; sample: 67Aug 2021: 14.3%; sample: 70Sep 2021: 4.4%; sample: 68Oct 2021: 20.8%; sample: 72Nov 2021: 8.6%; sample: 81Dec 2021: 20.6%; sample: 97Jan 2022: 9.6%; sample: 522022Feb 2022: 14.7%; sample: 68Mar 2022: 8.0%; sample: 100Apr 2022: 43.3%; sample: 90May 2022: 25.8%; sample: 93Jun 2022: 40.0%; sample: 85Jul 2022: 33.8%; sample: 80Aug 2022: 25.0%; sample: 80Sep 2022: 30.0%; sample: 90Oct 2022: 32.3%; sample: 93Nov 2022: 22.0%; sample: 100Dec 2022: 44.7%; sample: 103Jan 2023: 25.7%; sample: 1052023Feb 2023: 23.9%; sample: 92Mar 2023: 18.0%; sample: 100Apr 2023: 17.0%; sample: 88May 2023: 23.3%; sample: 90Jun 2023: 26.7%; sample: 90Jul 2023: 33.0%; sample: 91Aug 2023: 29.5%; sample: 88Sep 2023: 27.9%; sample: 86Oct 2023: 33.3%; sample: 90Nov 2023: 17.1%; sample: 82Dec 2023: 25.3%; sample: 91Jan 2024: 27.8%; sample: 902024Feb 2024: 9.0%; sample: 78Mar 2024: 7.7%; sample: 91Apr 2024: 20.8%; sample: 77May 2024: 21.5%; sample: 79Jun 2024: 25.6%; sample: 78Jul 2024: 36.5%; sample: 74Aug 2024: 27.5%; sample: 80Sep 2024: 29.6%; sample: 71Oct 2024: 23.3%; sample: 73Nov 2024: 10.3%; sample: 39Dec 2024: 21.1%; sample: 38Jan 2025: 14.6%; sample: 412025Feb 2025: 5.6%; sample: 36Mar 2025: 7.7%; sample: 39Apr 2025: 10.0%; sample: 30May 2025: 9.7%; sample: 31Jun 2025: 10.0%; sample: 30Jul 2025: 19.4%; sample: 31Aug 2025: 16.1%; sample: 31Sep 2025: 13.3%; sample: 30Oct 2025: 11.8%; sample: 34Nov 2025: 27.3%; sample: 44Dec 2025: 31.9%; sample: 47Jan 2026: 50.0%; sample: 322026Feb 2026: 15.0%; sample: 40Mar 2026: 8.7%; sample: 46Apr 2026: 16.1%; sample: 56May 2026: 12.3%; sample: 57Jun 2026: 19.6%; sample: 56Pandemic 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 201831.1% of 103 movements
Feb 201815.4% of 91 movements
Mar 201827.9% of 104 movements
Apr 201850.0% of 108 movements
May 201850.5% of 109 movements
Jun 201867.9% of 109 movements
Jul 201866.1% of 115 movements
Aug 201850.4% of 115 movements
Sep 201840.5% of 111 movements
Oct 201838.7% of 111 movements
Nov 201817.0% of 100 movements
Dec 201820.2% of 94 movements
Jan 201918.8% of 101 movements
Feb 201912.9% of 93 movements
Mar 20197.9% of 101 movements
Apr 201920.6% of 107 movements
May 201917.1% of 111 movements
Jun 201930.8% of 107 movements
Jul 201925.0% of 80 movements
Aug 201922.8% of 79 movements
Sep 201920.5% of 78 movements
Oct 201912.9% of 85 movements
Nov 20194.4% of 90 movements
Dec 201912.0% of 92 movements
Jan 20205.2% of 97 movements
Feb 202017.2% of 87 movements
Mar 202020.8% of 53 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020no events in 31 movements — small sample, not ranked
Aug 20206.5% of 62 movements
Sep 2020no events in 60 movements
Oct 20205.4% of 56 movements
Nov 2020no events in 28 movements — small sample, not ranked
Dec 2020suppressed: fewer than twenty movements
Jan 202120.8% of 24 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 20215.0% of 20 movements — small sample, not ranked
Jun 20212.6% of 38 movements — small sample, not ranked
Jul 202110.4% of 67 movements
Aug 202114.3% of 70 movements
Sep 20214.4% of 68 movements
Oct 202120.8% of 72 movements
Nov 20218.6% of 81 movements
Dec 202120.6% of 97 movements
Jan 20229.6% of 52 movements
Feb 202214.7% of 68 movements
Mar 20228.0% of 100 movements
Apr 202243.3% of 90 movements
May 202225.8% of 93 movements
Jun 202240.0% of 85 movements
Jul 202233.8% of 80 movements
Aug 202225.0% of 80 movements
Sep 202230.0% of 90 movements
Oct 202232.3% of 93 movements
Nov 202222.0% of 100 movements
Dec 202244.7% of 103 movements
Jan 202325.7% of 105 movements
Feb 202323.9% of 92 movements
Mar 202318.0% of 100 movements
Apr 202317.0% of 88 movements
May 202323.3% of 90 movements
Jun 202326.7% of 90 movements
Jul 202333.0% of 91 movements
Aug 202329.5% of 88 movements
Sep 202327.9% of 86 movements
Oct 202333.3% of 90 movements
Nov 202317.1% of 82 movements
Dec 202325.3% of 91 movements
Jan 202427.8% of 90 movements
Feb 20249.0% of 78 movements
Mar 20247.7% of 91 movements
Apr 202420.8% of 77 movements
May 202421.5% of 79 movements
Jun 202425.6% of 78 movements
Jul 202436.5% of 74 movements
Aug 202427.5% of 80 movements
Sep 202429.6% of 71 movements
Oct 202423.3% of 73 movements
Nov 202410.3% of 39 movements — small sample, not ranked
Dec 202421.1% of 38 movements — small sample, not ranked
Jan 202514.6% of 41 movements — small sample, not ranked
Feb 20255.6% of 36 movements — small sample, not ranked
Mar 20257.7% of 39 movements — small sample, not ranked
Apr 202510.0% of 30 movements — small sample, not ranked
May 20259.7% of 31 movements — small sample, not ranked
Jun 202510.0% of 30 movements — small sample, not ranked
Jul 202519.4% of 31 movements — small sample, not ranked
Aug 202516.1% of 31 movements — small sample, not ranked
Sep 202513.3% of 30 movements — small sample, not ranked
Oct 202511.8% of 34 movements — small sample, not ranked
Nov 202527.3% of 44 movements — small sample, not ranked
Dec 202531.9% of 47 movements — small sample, not ranked
Jan 202650.0% of 32 movements — small sample, not ranked
Feb 202615.0% of 40 movements — small sample, not ranked
Mar 20268.7% of 46 movements — small sample, not ranked
Apr 202616.1% of 56 movements
May 202612.3% of 57 movements
Jun 202619.6% of 56 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 2022Arrivals33.8% of 80 movements18.4% across 943 flightsreturned after 8 months
Summer 2022 breakdown · Jul 2022Departures36.2% of 80 movements19.1% across 946 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals29.5% of 88 movements26.8% across 1,122 flightsreturned after 3 months
NATS system failure · Aug 2023Departures46.6% of 88 movements34.4% across 1,111 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals7.7% of 39 movements — small sample, not ranked20.3% across 777 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures7.7% of 39 movements — small sample, not ranked26.8% across 778 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, 33.4% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 8.0% across 7 Marchs.

Even July has ranged from 19.4% to 66.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201918.8% of 101 movements12.9% of 93 movements7.9% of 101 movements20.6% of 107 movements17.1% of 111 movements30.8% of 107 movements25.0% of 80 movements22.8% of 79 movements20.5% of 78 movements12.9% of 85 movements4.4% of 90 movements12.0% of 92 movements20205.2% of 97 movements17.2% of 87 movements20.8% of 53 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 31 movements †6.5% of 62 movementsno events in 60 movements5.4% of 56 movementsno events in 28 movements †suppressed: fewer than twenty movements202120.8% of 24 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements5.0% of 20 movements †2.6% of 38 movements †10.4% of 67 movements14.3% of 70 movements4.4% of 68 movements20.8% of 72 movements8.6% of 81 movements20.6% of 97 movements20229.6% of 52 movements14.7% of 68 movements8.0% of 100 movements43.3% of 90 movements25.8% of 93 movements40.0% of 85 movements33.8% of 80 movements25.0% of 80 movements30.0% of 90 movements32.3% of 93 movements22.0% of 100 movements44.7% of 103 movements202325.7% of 105 movements23.9% of 92 movements18.0% of 100 movements17.0% of 88 movements23.3% of 90 movements26.7% of 90 movements33.0% of 91 movements29.5% of 88 movements27.9% of 86 movements33.3% of 90 movements17.1% of 82 movements25.3% of 91 movements202427.8% of 90 movements9.0% of 78 movements7.7% of 91 movements20.8% of 77 movements21.5% of 79 movements25.6% of 78 movements36.5% of 74 movements27.5% of 80 movements29.6% of 71 movements23.3% of 73 movements10.3% of 39 movements †21.1% of 38 movements †202514.6% of 41 movements †5.6% of 36 movements †7.7% of 39 movements †10.0% of 30 movements †9.7% of 31 movements †10.0% of 30 movements †19.4% of 31 movements †16.1% of 31 movements †13.3% of 30 movements †11.8% of 34 movements †27.3% of 44 movements †31.9% of 47 movements †202650.0% of 32 movements †15.0% of 40 movements †8.7% of 46 movements †16.1% of 56 movements12.3% of 57 movements19.6% of 56 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.7%9.6–50.0%7 months, 524 flights
Feb14.7%5.6–23.9%7 months, 498 flights
Mar8.0%7.7–27.9%7 months, 581 flights
Apr20.6%10.0–50.0%7 months, 556 flights
May21.5%9.7–50.5%7 months, 570 flights
Jun26.7%10.0–67.9%7 months, 555 flights
Jul33.4%19.4–66.1%6 months, 471 flights
Aug26.2%16.1–50.4%6 months, 473 flights
Sep28.7%13.3–40.5%6 months, 466 flights
Oct27.8%11.8–38.7%6 months, 486 flights
Nov17.0%4.4–27.3%6 months, 455 flights
Dec23.2%12.0–44.7%6 months, 465 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, 20.3% of 487 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 optionRyanair20.3% of 487 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ryanair48720.3% of 487 movements0.2% of 487 movements1.2% of 487 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, GLA had the lowest disruption share at 3.7% of 27 movements — small sample, not ranked and EDI the highest at 41.4% of 87 movements. This route sits at 19.6% of 504 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 ↔ Warsaw-Modlin-Masovia †10.0% of 40 flightsEdi ↔ Warsaw-Modlin-Masovia41.4% of 87 flightsGla ↔ Warsaw-Modlin-Masovia †3.7% of 27 flightsLpl ↔ Warsaw-Modlin-Masovia15.6% of 64 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Warsaw-Modlin-Masoviasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Warsaw-Modlin-Masovia4010.0% of 40 movements — small sample, not rankedno events in 40 movements — small sample, not rankedno events in 40 movements — small sample, not rankedsmall sample; not ranked
Brs ↔ Warsaw-Modlin-Masoviasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Warsaw-Modlin-Masovia8741.4% of 87 movementsno events in 87 movements1.1% of 87 movementsdescriptive comparison
Ema ↔ Warsaw-Modlin-Masoviasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Warsaw-Modlin-Masovia273.7% of 27 movements — small sample, not rankedno events in 27 movements — small sample, not rankedno events in 27 movements — small sample, not rankedsmall sample; not ranked
Lba ↔ Warsaw-Modlin-Masoviasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Warsaw-Modlin-Masovia6415.6% of 64 movementsno events in 64 movementsno events in 64 movementsdescriptive comparison
Ltn ↔ Warsaw-Modlin-Masoviasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Warsaw-Modlin-Masoviasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Warsaw-Modlin-Masoviasuppressed: 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 19.6% of 504 movements disrupted, departures 26.1% of 501 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 STN19.6% of 504 movements0.2% of 504 movements1.2% of 504 movements
Departures from STN26.1% of 501 movementsno events in 501 movements0.2% of 501 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 202644 flights out of 7,16444 × £220 = £9,680
ArrivalsLast 72 months · Jul 2020–Jun 202616 flights out of 4,53316 × £220 = £3,520
DeparturesWhole archive · Jan 2018–Jun 202626 flights out of 7,14626 × £220 = £5,720
DeparturesLast 72 months · Jul 2020–Jun 202611 flights out of 4,51611 × £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 / countryWARSAW (MODLIN MASOVIA) / POLAND
Final point codesWMI / EPMO
Great-circle distance1,389 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.38
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 archive99

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: 504; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

19.6% of 504 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 504 movements in the same window.

How many delays crossed three hours?

1.2% of 504 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?

1,389 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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