UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ RIGA

In the twelve months from July 2025 to June 2026, 21.1% of 674 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, 78.9% of 674 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 337 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, 21.1% of 674 movements were disrupted and 0.9% of 674 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
21.1% of 674 movements0.9% of 674 movements32.5–64.9 min; N of delayed flights=136–251674
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: 0.9% of 674 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 min20.2%30 min13.1%60 min6.7%120 min1.6%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min20.2% of 674 movements1365.0
>30 min13.1% of 674 movements887.7
>60 min6.7% of 674 movements4515.0
>120 min1.6% of 674 movements1161.3
>180 min0.3% of 674 movements2337.0
>360 minno events in 674 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?

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 early23835.3%15–1 early17926.6%0–15 late11517.1%16–30487.1%31–60436.4%61…120345.0%121…18091.3%181…36020.3%>36000.0%D=674
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0220; 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, 3.2% of 62 movements. Worst month: Jul 2018, 56.5% of 62 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: 20.6%; sample: 632018Feb 2018: 28.6%; sample: 56Mar 2018: 30.6%; sample: 62Apr 2018: 21.7%; sample: 60May 2018: 29.5%; sample: 61Jun 2018: 49.2%; sample: 61Jul 2018: 56.5%; sample: 62Aug 2018: 40.3%; sample: 62Sep 2018: 28.3%; sample: 60Oct 2018: 25.8%; sample: 62Nov 2018: 15.0%; sample: 60Dec 2018: 32.8%; sample: 58Jan 2019: 37.1%; sample: 622019Feb 2019: 23.2%; sample: 56Mar 2019: 11.5%; sample: 61Apr 2019: 10.0%; sample: 60May 2019: 16.1%; sample: 62Jun 2019: 20.0%; sample: 60Jul 2019: 17.7%; sample: 62Aug 2019: 21.0%; sample: 62Sep 2019: 16.7%; sample: 60Oct 2019: 17.5%; sample: 63Nov 2019: 4.8%; sample: 63Dec 2019: 22.1%; sample: 68Jan 2020: 7.6%; sample: 662020Feb 2020: 22.4%; sample: 67Mar 2020: 20.0%; sample: 45Apr 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: 2.6%; sample: 39Sep 2020: 2.9%; sample: 34Oct 2020: 6.2%; sample: 32Nov 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: 0.0%; sample: 30Jul 2021: 6.4%; sample: 47Aug 2021: 3.2%; sample: 62Sep 2021: 5.8%; sample: 69Oct 2021: 11.4%; sample: 70Nov 2021: 17.0%; sample: 47Dec 2021: 35.4%; sample: 48Jan 2022: 28.6%; sample: 352022Feb 2022: 32.1%; sample: 28Mar 2022: 14.3%; sample: 49Apr 2022: 19.7%; sample: 61May 2022: 19.4%; sample: 62Jun 2022: 24.1%; sample: 58Jul 2022: 31.4%; sample: 51Aug 2022: 34.7%; sample: 49Sep 2022: 31.7%; sample: 60Oct 2022: 29.0%; sample: 62Nov 2022: 20.3%; sample: 64Dec 2022: 54.5%; sample: 66Jan 2023: 31.3%; sample: 672023Feb 2023: 25.0%; sample: 60Mar 2023: 17.2%; sample: 64Apr 2023: 21.7%; sample: 46May 2023: 16.0%; sample: 50Jun 2023: 25.5%; sample: 47Jul 2023: 27.1%; sample: 48Aug 2023: 30.0%; sample: 50Sep 2023: 15.2%; sample: 46Oct 2023: 33.3%; sample: 51Nov 2023: 29.0%; sample: 62Dec 2023: 47.8%; sample: 69Jan 2024: 28.4%; sample: 672024Feb 2024: 29.5%; sample: 61Mar 2024: 6.0%; sample: 67Apr 2024: 21.7%; sample: 46May 2024: 30.6%; sample: 49Jun 2024: 35.4%; sample: 48Jul 2024: 47.9%; sample: 48Aug 2024: 30.6%; sample: 49Sep 2024: 34.8%; sample: 46Oct 2024: 29.1%; sample: 55Nov 2024: 17.9%; sample: 78Dec 2024: 44.7%; sample: 76Jan 2025: 42.4%; sample: 592025Feb 2025: 27.8%; sample: 72Mar 2025: 16.9%; sample: 77Apr 2025: 24.6%; sample: 57May 2025: 24.1%; sample: 54Jun 2025: 32.0%; sample: 50Jul 2025: 37.0%; sample: 54Aug 2025: 28.8%; sample: 52Sep 2025: 39.6%; sample: 53Oct 2025: 28.6%; sample: 56Nov 2025: 9.8%; sample: 61Dec 2025: 22.5%; sample: 71Jan 2026: 12.5%; sample: 482026Feb 2026: 14.1%; sample: 64Mar 2026: 5.9%; sample: 68Apr 2026: 21.2%; sample: 52May 2026: 10.2%; sample: 49Jun 2026: 28.3%; sample: 46Pandemic 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 201820.6% of 63 movements
Feb 201828.6% of 56 movements
Mar 201830.6% of 62 movements
Apr 201821.7% of 60 movements
May 201829.5% of 61 movements
Jun 201849.2% of 61 movements
Jul 201856.5% of 62 movements
Aug 201840.3% of 62 movements
Sep 201828.3% of 60 movements
Oct 201825.8% of 62 movements
Nov 201815.0% of 60 movements
Dec 201832.8% of 58 movements
Jan 201937.1% of 62 movements
Feb 201923.2% of 56 movements
Mar 201911.5% of 61 movements
Apr 201910.0% of 60 movements
May 201916.1% of 62 movements
Jun 201920.0% of 60 movements
Jul 201917.7% of 62 movements
Aug 201921.0% of 62 movements
Sep 201916.7% of 60 movements
Oct 201917.5% of 63 movements
Nov 20194.8% of 63 movements
Dec 201922.1% of 68 movements
Jan 20207.6% of 66 movements
Feb 202022.4% of 67 movements
Mar 202020.0% of 45 movements — small sample, not ranked
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 20202.6% of 39 movements — small sample, not ranked
Sep 20202.9% of 34 movements — small sample, not ranked
Oct 20206.2% of 32 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 2021no events in 30 movements — small sample, not ranked
Jul 20216.4% of 47 movements — small sample, not ranked
Aug 20213.2% of 62 movements
Sep 20215.8% of 69 movements
Oct 202111.4% of 70 movements
Nov 202117.0% of 47 movements — small sample, not ranked
Dec 202135.4% of 48 movements — small sample, not ranked
Jan 202228.6% of 35 movements — small sample, not ranked
Feb 202232.1% of 28 movements — small sample, not ranked
Mar 202214.3% of 49 movements — small sample, not ranked
Apr 202219.7% of 61 movements
May 202219.4% of 62 movements
Jun 202224.1% of 58 movements
Jul 202231.4% of 51 movements
Aug 202234.7% of 49 movements — small sample, not ranked
Sep 202231.7% of 60 movements
Oct 202229.0% of 62 movements
Nov 202220.3% of 64 movements
Dec 202254.5% of 66 movements
Jan 202331.3% of 67 movements
Feb 202325.0% of 60 movements
Mar 202317.2% of 64 movements
Apr 202321.7% of 46 movements — small sample, not ranked
May 202316.0% of 50 movements
Jun 202325.5% of 47 movements — small sample, not ranked
Jul 202327.1% of 48 movements — small sample, not ranked
Aug 202330.0% of 50 movements
Sep 202315.2% of 46 movements — small sample, not ranked
Oct 202333.3% of 51 movements
Nov 202329.0% of 62 movements
Dec 202347.8% of 69 movements
Jan 202428.4% of 67 movements
Feb 202429.5% of 61 movements
Mar 20246.0% of 67 movements
Apr 202421.7% of 46 movements — small sample, not ranked
May 202430.6% of 49 movements — small sample, not ranked
Jun 202435.4% of 48 movements — small sample, not ranked
Jul 202447.9% of 48 movements — small sample, not ranked
Aug 202430.6% of 49 movements — small sample, not ranked
Sep 202434.8% of 46 movements — small sample, not ranked
Oct 202429.1% of 55 movements
Nov 202417.9% of 78 movements
Dec 202444.7% of 76 movements
Jan 202542.4% of 59 movements
Feb 202527.8% of 72 movements
Mar 202516.9% of 77 movements
Apr 202524.6% of 57 movements
May 202524.1% of 54 movements
Jun 202532.0% of 50 movements
Jul 202537.0% of 54 movements
Aug 202528.8% of 52 movements
Sep 202539.6% of 53 movements
Oct 202528.6% of 56 movements
Nov 20259.8% of 61 movements
Dec 202522.5% of 71 movements
Jan 202612.5% of 48 movements — small sample, not ranked
Feb 202614.1% of 64 movements
Mar 20265.9% of 68 movements
Apr 202621.2% of 52 movements
May 202610.2% of 49 movements — small sample, not ranked
Jun 202628.3% of 46 movements — small sample, not ranked

What did the big disruptions actually do here?

Each named event below is shown against this route’s own baseline for the twelve months before it, and against how long the route took to get back to that baseline.

A month worse than baseline is not proof the named event caused it: the open data carry no delay-cause field at all. Some events sit near the edge of the archive, which limits how long a recovery can be traced.

EventDirectionDisruption that monthBaseline beforeReturn to baseline
Pandemic regime · Jun 2020Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals31.4% of 51 movements18.1% across 636 flightsreturned after 8 months
Summer 2022 breakdown · Jul 2022Departures37.3% of 51 movements6.8% across 633 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals30.0% of 50 movements27.8% across 683 flightsreturned the next month
NATS system failure · Aug 2023Departures36.0% of 50 movements24.7% across 683 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals16.9% of 77 movements30.7% across 693 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures11.5% of 78 movements30.3% across 692 flightsreturned the next month
Definitions, denominators and limits

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

Which time of year has historically been hardest?

December has historically been the hardest month on this route: in a typical December, 38.7% of arrivals were disrupted, measured across 6 Decembers in the archive. March has been the calmest, at 14.3% across 7 Marchs.

Even December has ranged from 22.1% to 54.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201937.1% of 62 movements23.2% of 56 movements11.5% of 61 movements10.0% of 60 movements16.1% of 62 movements20.0% of 60 movements17.7% of 62 movements21.0% of 62 movements16.7% of 60 movements17.5% of 63 movements4.8% of 63 movements22.1% of 68 movements20207.6% of 66 movements22.4% of 67 movements20.0% of 45 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 22 movements †2.6% of 39 movements †2.9% of 34 movements †6.2% of 32 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 movementsno events in 30 movements †6.4% of 47 movements †3.2% of 62 movements5.8% of 69 movements11.4% of 70 movements17.0% of 47 movements †35.4% of 48 movements †202228.6% of 35 movements †32.1% of 28 movements †14.3% of 49 movements †19.7% of 61 movements19.4% of 62 movements24.1% of 58 movements31.4% of 51 movements34.7% of 49 movements †31.7% of 60 movements29.0% of 62 movements20.3% of 64 movements54.5% of 66 movements202331.3% of 67 movements25.0% of 60 movements17.2% of 64 movements21.7% of 46 movements †16.0% of 50 movements25.5% of 47 movements †27.1% of 48 movements †30.0% of 50 movements15.2% of 46 movements †33.3% of 51 movements29.0% of 62 movements47.8% of 69 movements202428.4% of 67 movements29.5% of 61 movements6.0% of 67 movements21.7% of 46 movements †30.6% of 49 movements †35.4% of 48 movements †47.9% of 48 movements †30.6% of 49 movements †34.8% of 46 movements †29.1% of 55 movements17.9% of 78 movements44.7% of 76 movements202542.4% of 59 movements27.8% of 72 movements16.9% of 77 movements24.6% of 57 movements24.1% of 54 movements32.0% of 50 movements37.0% of 54 movements28.8% of 52 movements39.6% of 53 movements28.6% of 56 movements9.8% of 61 movements22.5% of 71 movements202612.5% of 48 movements †14.1% of 64 movements5.9% of 68 movements21.2% of 52 movements10.2% of 49 movements †28.3% of 46 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan28.6%12.5–42.4%7 months, 401 flights
Feb27.8%14.1–32.1%7 months, 397 flights
Mar14.3%5.9–30.6%7 months, 448 flights
Apr21.7%10.0–24.6%7 months, 382 flights
May19.4%10.2–30.6%7 months, 387 flights
Jun28.3%20.0–49.2%7 months, 370 flights
Jul34.2%17.7–56.5%6 months, 325 flights
Aug30.3%21.0–40.3%6 months, 324 flights
Sep30.0%15.2–39.6%6 months, 325 flights
Oct28.8%17.5–33.3%6 months, 349 flights
Nov16.5%4.8–29.0%6 months, 388 flights
Dec38.7%22.1–54.5%6 months, 408 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, 21.1% of 674 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 optionRyanair21.1% of 674 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ryanair67421.1% of 674 movements0.9% of 674 movements0.3% of 674 movementsdescriptive comparison
Ryanair Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Air Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

The noise check is a descriptive approximation assuming independent operations. Delay correlation and mix differences are not estimated; no ranking is derived.

Would another UK airport have been better?

Among UK airports flying to this city with enough flights to publish, LHR had the lowest disruption share at 16.8% of 143 movements and MAN the highest at 48.1% of 208 movements. This route sits at 21.1% of 674 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 optionEdi ↔ Riga19.7% of 76 flightsEma ↔ Riga39.6% of 139 flightsLba ↔ Riga25.9% of 216 flightsLgw ↔ Riga25.8% of 589 flightsLhr ↔ Riga16.8% of 143 flightsMan ↔ Riga48.1% of 208 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Rigasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Rigasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Rigasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Rigasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Rigasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Rigasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Riga7619.7% of 76 movementsno events in 76 movementsno events in 76 movementsdescriptive comparison
Ema ↔ Riga13939.6% of 139 movementsno events in 139 movements0.7% of 139 movementsdescriptive comparison
Gla ↔ Rigasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Riga21625.9% of 216 movements0.5% of 216 movements0.9% of 216 movementsdescriptive comparison
Lgw ↔ Riga58925.8% of 589 movementsno events in 589 movements0.2% of 589 movementsdescriptive comparison
Lhr ↔ Riga14316.8% of 143 movementsno events in 143 movementsno events in 143 movementsdescriptive comparison
Lpl ↔ Rigasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Rigasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Riga20848.1% of 208 movementsno events in 208 movements0.5% of 208 movementsdescriptive comparison
Ncl ↔ Rigasuppressed: 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 21.1% of 674 movements disrupted, departures 20.9% of 674 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 STN21.1% of 674 movements0.9% of 674 movements0.3% of 674 movements
Departures from STN20.9% of 674 movements0.6% of 674 movementsno events in 674 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 202625 flights out of 5,23925 × £350 = £8,750
ArrivalsLast 72 months · Jul 2020–Jun 202617 flights out of 3,59517 × £350 = £5,950
DeparturesWhole archive · Jan 2018–Jun 202614 flights out of 5,24214 × £350 = £4,900
DeparturesLast 72 months · Jul 2020–Jun 202610 flights out of 3,59610 × £350 = £3,500
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 / countryRIGA / LATVIA
Final point codesRIX / EVRA
Great-circle distance1,625 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.83
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: 674; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

21.1% of 674 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.9% of 674 movements in the same window.

How many delays crossed three hours?

0.3% of 674 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?

1,625 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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