UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ PRAGUE

In the twelve months from July 2025 to June 2026, 28.0% of 945 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, 72.0% of 945 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 236 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, 28.0% of 945 movements were disrupted and no events in 945 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
28.0% of 945 movementsno events in 945 movements32.9–63.5 min; N of delayed flights=265–483945
Definitions, denominators and limits

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

When it is late, how late is it?

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

Cancellations are counted separately: no events in 945 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 min28.0%30 min18.0%60 min8.4%120 min2.5%180 min0.4%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min28.0% of 945 movements2653.6
>30 min18.0% of 945 movements1705.6
>60 min8.4% of 945 movements7912.0
>120 min2.5% of 945 movements2439.4
>180 min0.4% of 945 movements4236.2
>360 minno events in 945 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 early949.9%15–1 early36838.9%0–15 late21823.0%16–309510.0%31–60919.6%61…120555.8%121…180202.1%181…36040.4%>36000.0%D=946
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0215; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Aug 2021, 9.9% of 71 movements. Worst month: Jul 2018, 64.6% of 99 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: 19.3%; sample: 1142018Feb 2018: 14.8%; sample: 108Mar 2018: 29.3%; sample: 116Apr 2018: 35.4%; sample: 99May 2018: 44.7%; sample: 103Jun 2018: 62.2%; sample: 98Jul 2018: 64.6%; sample: 99Aug 2018: 46.9%; sample: 98Sep 2018: 50.5%; sample: 97Oct 2018: 39.2%; sample: 102Nov 2018: 15.5%; sample: 103Dec 2018: 24.8%; sample: 101Jan 2019: 17.8%; sample: 1072019Feb 2019: 22.9%; sample: 96Mar 2019: 13.2%; sample: 106Apr 2019: 26.5%; sample: 113May 2019: 30.4%; sample: 115Jun 2019: 37.3%; sample: 110Jul 2019: 36.6%; sample: 112Aug 2019: 41.3%; sample: 109Sep 2019: 41.1%; sample: 112Oct 2019: 30.7%; sample: 114Nov 2019: 16.5%; sample: 97Dec 2019: 18.2%; sample: 110Jan 2020: 13.7%; sample: 1022020Feb 2020: 34.3%; sample: 99Mar 2020: 13.0%; sample: 69Apr 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: 22Aug 2020: 4.5%; sample: 44Sep 2020: 0.0%; sample: 30Oct 2020: 0.0%; sample: 27Nov 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: 8.9%; sample: 45Jul 2021: 17.3%; sample: 52Aug 2021: 9.9%; sample: 71Sep 2021: 12.3%; sample: 73Oct 2021: 16.0%; sample: 75Nov 2021: 11.8%; sample: 68Dec 2021: 23.1%; sample: 65Jan 2022: 16.3%; sample: 432022Feb 2022: 14.1%; sample: 64Mar 2022: 12.5%; sample: 72Apr 2022: 40.6%; sample: 69May 2022: 23.3%; sample: 73Jun 2022: 44.9%; sample: 69Jul 2022: 42.0%; sample: 69Aug 2022: 36.4%; sample: 66Sep 2022: 42.0%; sample: 69Oct 2022: 35.2%; sample: 71Nov 2022: 19.1%; sample: 68Dec 2022: 59.7%; sample: 72Jan 2023: 38.4%; sample: 732023Feb 2023: 10.9%; sample: 64Mar 2023: 26.7%; sample: 75Apr 2023: 23.3%; sample: 90May 2023: 26.7%; sample: 75Jun 2023: 33.3%; sample: 81Jul 2023: 26.7%; sample: 75Aug 2023: 32.0%; sample: 75Sep 2023: 24.3%; sample: 74Oct 2023: 34.2%; sample: 79Nov 2023: 22.7%; sample: 66Dec 2023: 41.2%; sample: 85Jan 2024: 23.3%; sample: 732024Feb 2024: 12.9%; sample: 62Mar 2024: 10.7%; sample: 75Apr 2024: 31.2%; sample: 77May 2024: 37.0%; sample: 81Jun 2024: 51.3%; sample: 76Jul 2024: 48.8%; sample: 80Aug 2024: 35.0%; sample: 80Sep 2024: 42.9%; sample: 77Oct 2024: 31.3%; sample: 83Nov 2024: 13.3%; sample: 75Dec 2024: 34.9%; sample: 83Jan 2025: 40.7%; sample: 592025Feb 2025: 16.7%; sample: 66Mar 2025: 16.7%; sample: 72Apr 2025: 21.1%; sample: 76May 2025: 24.7%; sample: 81Jun 2025: 28.9%; sample: 76Jul 2025: 44.4%; sample: 81Aug 2025: 32.5%; sample: 80Sep 2025: 33.8%; sample: 77Oct 2025: 30.0%; sample: 80Nov 2025: 29.2%; sample: 72Dec 2025: 37.0%; sample: 81Jan 2026: 30.1%; sample: 732026Feb 2026: 27.7%; sample: 65Mar 2026: 13.7%; sample: 73Apr 2026: 13.6%; sample: 88May 2026: 12.9%; sample: 93Jun 2026: 34.1%; sample: 82Pandemic 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 201819.3% of 114 movements
Feb 201814.8% of 108 movements
Mar 201829.3% of 116 movements
Apr 201835.4% of 99 movements
May 201844.7% of 103 movements
Jun 201862.2% of 98 movements
Jul 201864.6% of 99 movements
Aug 201846.9% of 98 movements
Sep 201850.5% of 97 movements
Oct 201839.2% of 102 movements
Nov 201815.5% of 103 movements
Dec 201824.8% of 101 movements
Jan 201917.8% of 107 movements
Feb 201922.9% of 96 movements
Mar 201913.2% of 106 movements
Apr 201926.5% of 113 movements
May 201930.4% of 115 movements
Jun 201937.3% of 110 movements
Jul 201936.6% of 112 movements
Aug 201941.3% of 109 movements
Sep 201941.1% of 112 movements
Oct 201930.7% of 114 movements
Nov 201916.5% of 97 movements
Dec 201918.2% of 110 movements
Jan 202013.7% of 102 movements
Feb 202034.3% of 99 movements
Mar 202013.0% of 69 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020no events in 22 movements — small sample, not ranked
Aug 20204.5% of 44 movements — small sample, not ranked
Sep 2020no events in 30 movements — small sample, not ranked
Oct 2020no events in 27 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 20218.9% of 45 movements — small sample, not ranked
Jul 202117.3% of 52 movements
Aug 20219.9% of 71 movements
Sep 202112.3% of 73 movements
Oct 202116.0% of 75 movements
Nov 202111.8% of 68 movements
Dec 202123.1% of 65 movements
Jan 202216.3% of 43 movements — small sample, not ranked
Feb 202214.1% of 64 movements
Mar 202212.5% of 72 movements
Apr 202240.6% of 69 movements
May 202223.3% of 73 movements
Jun 202244.9% of 69 movements
Jul 202242.0% of 69 movements
Aug 202236.4% of 66 movements
Sep 202242.0% of 69 movements
Oct 202235.2% of 71 movements
Nov 202219.1% of 68 movements
Dec 202259.7% of 72 movements
Jan 202338.4% of 73 movements
Feb 202310.9% of 64 movements
Mar 202326.7% of 75 movements
Apr 202323.3% of 90 movements
May 202326.7% of 75 movements
Jun 202333.3% of 81 movements
Jul 202326.7% of 75 movements
Aug 202332.0% of 75 movements
Sep 202324.3% of 74 movements
Oct 202334.2% of 79 movements
Nov 202322.7% of 66 movements
Dec 202341.2% of 85 movements
Jan 202423.3% of 73 movements
Feb 202412.9% of 62 movements
Mar 202410.7% of 75 movements
Apr 202431.2% of 77 movements
May 202437.0% of 81 movements
Jun 202451.3% of 76 movements
Jul 202448.8% of 80 movements
Aug 202435.0% of 80 movements
Sep 202442.9% of 77 movements
Oct 202431.3% of 83 movements
Nov 202413.3% of 75 movements
Dec 202434.9% of 83 movements
Jan 202540.7% of 59 movements
Feb 202516.7% of 66 movements
Mar 202516.7% of 72 movements
Apr 202521.1% of 76 movements
May 202524.7% of 81 movements
Jun 202528.9% of 76 movements
Jul 202544.4% of 81 movements
Aug 202532.5% of 80 movements
Sep 202533.8% of 77 movements
Oct 202530.0% of 80 movements
Nov 202529.2% of 72 movements
Dec 202537.0% of 81 movements
Jan 202630.1% of 73 movements
Feb 202627.7% of 65 movements
Mar 202613.7% of 73 movements
Apr 202613.6% of 88 movements
May 202612.9% of 93 movements
Jun 202634.1% of 82 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 2022Arrivals42.0% of 69 movements20.2% across 794 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures45.6% of 68 movements17.5% across 793 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals32.0% of 75 movements31.5% across 879 flightsreturned the next month
NATS system failure · Aug 2023Departures32.0% of 75 movements31.6% across 878 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals16.7% of 72 movements32.8% across 912 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures19.4% of 72 movements39.2% across 911 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, 43.2% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 13.7% across 7 Marchs.

Even July has ranged from 26.7% to 64.6% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201917.8% of 107 movements22.9% of 96 movements13.2% of 106 movements26.5% of 113 movements30.4% of 115 movements37.3% of 110 movements36.6% of 112 movements41.3% of 109 movements41.1% of 112 movements30.7% of 114 movements16.5% of 97 movements18.2% of 110 movements202013.7% of 102 movements34.3% of 99 movements13.0% of 69 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 22 movements †4.5% of 44 movements †no events in 30 movements †no events in 27 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 movements8.9% of 45 movements †17.3% of 52 movements9.9% of 71 movements12.3% of 73 movements16.0% of 75 movements11.8% of 68 movements23.1% of 65 movements202216.3% of 43 movements †14.1% of 64 movements12.5% of 72 movements40.6% of 69 movements23.3% of 73 movements44.9% of 69 movements42.0% of 69 movements36.4% of 66 movements42.0% of 69 movements35.2% of 71 movements19.1% of 68 movements59.7% of 72 movements202338.4% of 73 movements10.9% of 64 movements26.7% of 75 movements23.3% of 90 movements26.7% of 75 movements33.3% of 81 movements26.7% of 75 movements32.0% of 75 movements24.3% of 74 movements34.2% of 79 movements22.7% of 66 movements41.2% of 85 movements202423.3% of 73 movements12.9% of 62 movements10.7% of 75 movements31.2% of 77 movements37.0% of 81 movements51.3% of 76 movements48.8% of 80 movements35.0% of 80 movements42.9% of 77 movements31.3% of 83 movements13.3% of 75 movements34.9% of 83 movements202540.7% of 59 movements16.7% of 66 movements16.7% of 72 movements21.1% of 76 movements24.7% of 81 movements28.9% of 76 movements44.4% of 81 movements32.5% of 80 movements33.8% of 77 movements30.0% of 80 movements29.2% of 72 movements37.0% of 81 movements202630.1% of 73 movements27.7% of 65 movements13.7% of 73 movements13.6% of 88 movements12.9% of 93 movements34.1% of 82 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan23.3%16.3–40.7%7 months, 542 flights
Feb14.8%10.9–27.7%7 months, 525 flights
Mar13.7%10.7–29.3%7 months, 589 flights
Apr26.5%13.6–40.6%7 months, 612 flights
May26.7%12.9–44.7%7 months, 621 flights
Jun37.3%28.9–62.2%7 months, 592 flights
Jul43.2%26.7–64.6%6 months, 516 flights
Aug35.7%32.0–46.9%6 months, 508 flights
Sep41.6%24.3–50.5%6 months, 506 flights
Oct32.8%30.0–39.2%6 months, 529 flights
Nov17.8%13.3–29.2%6 months, 481 flights
Dec36.0%18.2–59.7%6 months, 532 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, 27.9% of 921 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 optionRyanair27.9% of 921 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Onesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ba Cityflyersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Csa Czech Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Europe Airpostsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Pegasus Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair92127.9% of 921 movementsno events in 921 movements0.3% of 921 movementsdescriptive comparison
Ryanair Sunsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Smartwingssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

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, BFS had the lowest disruption share at 15.1% of 119 movements and MAN the highest at 44.0% of 993 movements. This route sits at 28.0% of 945 movements.

Each figure is arrivals into that UK airport, all carriers combined, over the same twelve months. It is a historical record, not a recommendation about where to fly from, and it says nothing about getting to or from each airport on the ground.

Observed disruption share by optionBfs ↔ Prague15.1% of 119 flightsBhx ↔ Prague33.9% of 227 flightsBrs ↔ Prague37.8% of 400 flightsEdi ↔ Prague38.2% of 440 flightsEma ↔ Prague16.5% of 103 flightsGla ↔ Prague20.3% of 158 flightsLba ↔ Prague20.0% of 110 flightsLgw ↔ Prague32.3% of 702 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Praguesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Prague11915.1% of 119 movementsno events in 119 movements0.8% of 119 movementsdescriptive comparison
Bhd ↔ Praguesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Prague22733.9% of 227 movements0.4% of 227 movements0.4% of 227 movementsdescriptive comparison
Boh ↔ Praguesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Prague40037.8% of 400 movementsno events in 400 movements1.8% of 400 movementsdescriptive comparison
Cwl ↔ Praguesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Prague44038.2% of 440 movements0.2% of 440 movements0.5% of 440 movementsdescriptive comparison
Ema ↔ Prague10316.5% of 103 movementsno events in 103 movements1.9% of 103 movementsdescriptive comparison
Gla ↔ Prague15820.3% of 158 movementsno events in 158 movements0.6% of 158 movementsdescriptive comparison
Jer ↔ Praguesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Prague11020.0% of 110 movementsno events in 110 movements1.8% of 110 movementsdescriptive comparison
Lcy ↔ Praguesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Prague70232.3% of 702 movements0.3% of 702 movements1.1% of 702 movementsdescriptive comparison
Lhr ↔ Prague1,73119.5% of 1,731 movements0.9% of 1,731 movements0.4% of 1,731 movementsdescriptive comparison
Lpl ↔ Prague12243.4% of 122 movements1.6% of 122 movements2.5% of 122 movementsdescriptive comparison
Ltn ↔ Prague67125.5% of 671 movements0.3% of 671 movements1.0% of 671 movementsdescriptive comparison
Man ↔ Prague99344.0% of 993 movements0.3% of 993 movements1.2% of 993 movementsdescriptive comparison
Ncl ↔ Prague5815.5% of 58 movementsno events in 58 movementsno events in 58 movementsdescriptive comparison
Sen ↔ Praguesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Barely: arrivals into STN ran 28.0% of 945 movements disrupted, departures 26.7% of 945 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 STN28.0% of 945 movementsno events in 945 movements0.4% of 945 movements
Departures from STN26.7% of 945 movementsno events in 945 movements0.1% of 945 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 202646 flights out of 7,47646 × £220 = £10,120
ArrivalsLast 72 months · Jul 2020–Jun 202629 flights out of 4,66429 × £220 = £6,380
DeparturesWhole archive · Jan 2018–Jun 202628 flights out of 7,46928 × £220 = £6,160
DeparturesLast 72 months · Jul 2020–Jun 202620 flights out of 4,66020 × £220 = £4,400
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 / countryPRAGUE / CZECH REPUBLIC
Final point codesPRG / LKPR
Great-circle distance1,000 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.59
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 archive100

origin_destination is the final point of the CAA service, not evidence of a nonstop connection. The distance joins the coordinates of the named airports; the actual track is unknown. Frequency describes published operations.

What this data cannot tell you

Delay cause is not published in the regulator's open data. Monthly aggregates describe a population, not a specific flight. Cells below twenty operations are suppressed; twenty to forty-nine are descriptive only and not ranked. Arrivals and departures do not add up. Cancellations are short-notice only, by the CAA definition. A movement is not the same as a scheduled flight.

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

Data-quality counters for this route

Zero observed events does not mean zero risk. Operator coverage against the Summary file is not established in this record; comparisons are limited to the published population.

Unmatched records: 1; all recorded operations: 946; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

28.0% of 945 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

no events in 945 movements in the same window.

How many delays crossed three hours?

0.4% of 945 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?

1,000 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.

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Reconstruction and formulas

Open the versioned claim register

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