UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

EDI ↔ KRAKOW

In the twelve months from July 2025 to June 2026, 36.6% of 579 movements arriving into EDI were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 63.4% of 579 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 96 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, 36.6% of 579 movements were disrupted and 0.3% of 579 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
36.6% of 579 movements0.3% of 579 movements31.8–58.0 min; N of delayed flights=210–365579
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: 0.3% of 579 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 min36.3%30 min21.6%60 min9.3%120 min1.7%180 min1.0%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min36.3% of 579 movements2102.8
>30 min21.6% of 579 movements1254.6
>60 min9.3% of 579 movements5410.7
>120 min1.7% of 579 movements1057.9
>180 min1.0% of 579 movements696.5
>360 minno events in 579 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 early539.2%15–1 early15927.5%0–15 late15526.8%16–308514.7%31–607112.3%61…120447.6%121…18040.7%181…36061.0%>36000.0%D=579
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0385; 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: Mar 2026, 16.4% of 61 movements. Worst month: Dec 2024, 62.3% 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: 25.9%; sample: 272018Feb 2018: 23.1%; sample: 26Mar 2018: 12.5%; sample: 32Apr 2018: 20.0%; sample: 35May 2018: 37.1%; sample: 35Jun 2018: 32.4%; sample: 34Jul 2018: 32.3%; sample: 31Aug 2018: 25.8%; sample: 31Sep 2018: 35.3%; sample: 34Oct 2018: 44.7%; sample: 38Nov 2018: 16.1%; sample: 31Dec 2018: 24.3%; sample: 37Jan 2019: 25.0%; sample: 322019Feb 2019: 8.8%; sample: 34Mar 2019: 20.0%; sample: 40Apr 2019: 20.0%; sample: 35May 2019: 14.3%; sample: 35Jun 2019: 38.2%; sample: 34Jul 2019: 11.1%; sample: 36Aug 2019: 28.6%; sample: 35Sep 2019: 20.0%; sample: 35Oct 2019: 18.4%; sample: 38Nov 2019: 9.4%; sample: 32Dec 2019: 17.5%; sample: 40Jan 2020: 17.6%; sample: 342020Feb 2020: 31.4%; sample: 35Mar 2020: 26.1%; sample: 23Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: 3.8%; sample: 26Sep 2020: 3.4%; sample: 29Oct 2020: 0.0%; sample: 21Nov 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: no data×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: 12.0%; sample: 25Oct 2021: 23.1%; sample: 26Nov 2021: 23.1%; sample: 26Dec 2021: 24.1%; sample: 29Jan 2022: 25.0%; sample: 202022Feb 2022: 28.6%; sample: 28Mar 2022: 19.4%; sample: 31Apr 2022: 57.6%; sample: 33May 2022: 42.9%; sample: 35Jun 2022: 43.6%; sample: 39Jul 2022: 65.7%; sample: 35Aug 2022: 42.4%; sample: 33Sep 2022: 45.9%; sample: 37Oct 2022: 45.0%; sample: 40Nov 2022: 28.1%; sample: 32Dec 2022: 42.1%; sample: 38Jan 2023: 28.6%; sample: 352023Feb 2023: 10.0%; sample: 30Mar 2023: 26.5%; sample: 34Apr 2023: 23.3%; sample: 30May 2023: 29.6%; sample: 27Jun 2023: 40.0%; sample: 30Jul 2023: 58.1%; sample: 31Aug 2023: 56.7%; sample: 30Sep 2023: 60.7%; sample: 28Oct 2023: 56.7%; sample: 30Nov 2023: 29.5%; sample: 44Dec 2023: 53.3%; sample: 45Jan 2024: 48.8%; sample: 432024Feb 2024: 27.5%; sample: 40Mar 2024: 28.3%; sample: 46Apr 2024: 40.5%; sample: 37May 2024: 28.6%; sample: 35Jun 2024: 38.7%; sample: 31Jul 2024: 43.8%; sample: 32Aug 2024: 33.3%; sample: 30Sep 2024: 45.2%; sample: 31Oct 2024: 10.8%; sample: 37Nov 2024: 23.9%; sample: 46Dec 2024: 62.3%; sample: 53Jan 2025: 52.3%; sample: 442025Feb 2025: 30.4%; sample: 46Mar 2025: 21.6%; sample: 51Apr 2025: 23.1%; sample: 39May 2025: 22.5%; sample: 40Jun 2025: 32.4%; sample: 34Jul 2025: 40.0%; sample: 35Aug 2025: 55.6%; sample: 36Sep 2025: 38.2%; sample: 34Oct 2025: 43.2%; sample: 44Nov 2025: 49.2%; sample: 59Dec 2025: 49.1%; sample: 57Jan 2026: 41.2%; sample: 512026Feb 2026: 42.9%; sample: 56Mar 2026: 16.4%; sample: 61Apr 2026: 28.9%; sample: 45May 2026: 16.7%; sample: 54Jun 2026: 25.5%; sample: 47Pandemic 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 201825.9% of 27 movements — small sample, not ranked
Feb 201823.1% of 26 movements — small sample, not ranked
Mar 201812.5% of 32 movements — small sample, not ranked
Apr 201820.0% of 35 movements — small sample, not ranked
May 201837.1% of 35 movements — small sample, not ranked
Jun 201832.4% of 34 movements — small sample, not ranked
Jul 201832.3% of 31 movements — small sample, not ranked
Aug 201825.8% of 31 movements — small sample, not ranked
Sep 201835.3% of 34 movements — small sample, not ranked
Oct 201844.7% of 38 movements — small sample, not ranked
Nov 201816.1% of 31 movements — small sample, not ranked
Dec 201824.3% of 37 movements — small sample, not ranked
Jan 201925.0% of 32 movements — small sample, not ranked
Feb 20198.8% of 34 movements — small sample, not ranked
Mar 201920.0% of 40 movements — small sample, not ranked
Apr 201920.0% of 35 movements — small sample, not ranked
May 201914.3% of 35 movements — small sample, not ranked
Jun 201938.2% of 34 movements — small sample, not ranked
Jul 201911.1% of 36 movements — small sample, not ranked
Aug 201928.6% of 35 movements — small sample, not ranked
Sep 201920.0% of 35 movements — small sample, not ranked
Oct 201918.4% of 38 movements — small sample, not ranked
Nov 20199.4% of 32 movements — small sample, not ranked
Dec 201917.5% of 40 movements — small sample, not ranked
Jan 202017.6% of 34 movements — small sample, not ranked
Feb 202031.4% of 35 movements — small sample, not ranked
Mar 202026.1% of 23 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 20203.8% of 26 movements — small sample, not ranked
Sep 20203.4% of 29 movements — small sample, not ranked
Oct 2020no events in 21 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 2021no data
Jun 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 202112.0% of 25 movements — small sample, not ranked
Oct 202123.1% of 26 movements — small sample, not ranked
Nov 202123.1% of 26 movements — small sample, not ranked
Dec 202124.1% of 29 movements — small sample, not ranked
Jan 202225.0% of 20 movements — small sample, not ranked
Feb 202228.6% of 28 movements — small sample, not ranked
Mar 202219.4% of 31 movements — small sample, not ranked
Apr 202257.6% of 33 movements — small sample, not ranked
May 202242.9% of 35 movements — small sample, not ranked
Jun 202243.6% of 39 movements — small sample, not ranked
Jul 202265.7% of 35 movements — small sample, not ranked
Aug 202242.4% of 33 movements — small sample, not ranked
Sep 202245.9% of 37 movements — small sample, not ranked
Oct 202245.0% of 40 movements — small sample, not ranked
Nov 202228.1% of 32 movements — small sample, not ranked
Dec 202242.1% of 38 movements — small sample, not ranked
Jan 202328.6% of 35 movements — small sample, not ranked
Feb 202310.0% of 30 movements — small sample, not ranked
Mar 202326.5% of 34 movements — small sample, not ranked
Apr 202323.3% of 30 movements — small sample, not ranked
May 202329.6% of 27 movements — small sample, not ranked
Jun 202340.0% of 30 movements — small sample, not ranked
Jul 202358.1% of 31 movements — small sample, not ranked
Aug 202356.7% of 30 movements — small sample, not ranked
Sep 202360.7% of 28 movements — small sample, not ranked
Oct 202356.7% of 30 movements — small sample, not ranked
Nov 202329.5% of 44 movements — small sample, not ranked
Dec 202353.3% of 45 movements — small sample, not ranked
Jan 202448.8% of 43 movements — small sample, not ranked
Feb 202427.5% of 40 movements — small sample, not ranked
Mar 202428.3% of 46 movements — small sample, not ranked
Apr 202440.5% of 37 movements — small sample, not ranked
May 202428.6% of 35 movements — small sample, not ranked
Jun 202438.7% of 31 movements — small sample, not ranked
Jul 202443.8% of 32 movements — small sample, not ranked
Aug 202433.3% of 30 movements — small sample, not ranked
Sep 202445.2% of 31 movements — small sample, not ranked
Oct 202410.8% of 37 movements — small sample, not ranked
Nov 202423.9% of 46 movements — small sample, not ranked
Dec 202462.3% of 53 movements
Jan 202552.3% of 44 movements — small sample, not ranked
Feb 202530.4% of 46 movements — small sample, not ranked
Mar 202521.6% of 51 movements
Apr 202523.1% of 39 movements — small sample, not ranked
May 202522.5% of 40 movements — small sample, not ranked
Jun 202532.4% of 34 movements — small sample, not ranked
Jul 202540.0% of 35 movements — small sample, not ranked
Aug 202555.6% of 36 movements — small sample, not ranked
Sep 202538.2% of 34 movements — small sample, not ranked
Oct 202543.2% of 44 movements — small sample, not ranked
Nov 202549.2% of 59 movements
Dec 202549.1% of 57 movements
Jan 202641.2% of 51 movements
Feb 202642.9% of 56 movements
Mar 202616.4% of 61 movements
Apr 202628.9% of 45 movements — small sample, not ranked
May 202616.7% of 54 movements
Jun 202625.5% of 47 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 2022Arrivals65.7% of 35 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures52.9% of 34 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals56.7% of 30 movements — small sample, not ranked35.0% across 397 flightsreturned after 3 months
NATS system failure · Aug 2023Departures48.3% of 29 movements — small sample, not ranked25.0% across 395 flightsreturned after 6 months
Heathrow fire closure · Mar 2025Arrivals21.6% of 51 movements36.5% across 468 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures21.6% of 51 movements34.5% across 465 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, 45.6% of arrivals were disrupted, measured across 6 Decembers in the archive. March has been the calmest, at 20.0% across 7 Marchs.

Even December has ranged from 17.5% to 62.3% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201925.0% of 32 movements †8.8% of 34 movements †20.0% of 40 movements †20.0% of 35 movements †14.3% of 35 movements †38.2% of 34 movements †11.1% of 36 movements †28.6% of 35 movements †20.0% of 35 movements †18.4% of 38 movements †9.4% of 32 movements †17.5% of 40 movements †202017.6% of 34 movements †31.4% of 35 movements †26.1% of 23 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.8% of 26 movements †3.4% of 29 movements †no events in 21 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 movementsno datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements12.0% of 25 movements †23.1% of 26 movements †23.1% of 26 movements †24.1% of 29 movements †202225.0% of 20 movements †28.6% of 28 movements †19.4% of 31 movements †57.6% of 33 movements †42.9% of 35 movements †43.6% of 39 movements †65.7% of 35 movements †42.4% of 33 movements †45.9% of 37 movements †45.0% of 40 movements †28.1% of 32 movements †42.1% of 38 movements †202328.6% of 35 movements †10.0% of 30 movements †26.5% of 34 movements †23.3% of 30 movements †29.6% of 27 movements †40.0% of 30 movements †58.1% of 31 movements †56.7% of 30 movements †60.7% of 28 movements †56.7% of 30 movements †29.5% of 44 movements †53.3% of 45 movements †202448.8% of 43 movements †27.5% of 40 movements †28.3% of 46 movements †40.5% of 37 movements †28.6% of 35 movements †38.7% of 31 movements †43.8% of 32 movements †33.3% of 30 movements †45.2% of 31 movements †10.8% of 37 movements †23.9% of 46 movements †62.3% of 53 movements202552.3% of 44 movements †30.4% of 46 movements †21.6% of 51 movements23.1% of 39 movements †22.5% of 40 movements †32.4% of 34 movements †40.0% of 35 movements †55.6% of 36 movements †38.2% of 34 movements †43.2% of 44 movements †49.2% of 59 movements49.1% of 57 movements202641.2% of 51 movements42.9% of 56 movements16.4% of 61 movements28.9% of 45 movements †16.7% of 54 movements25.5% of 47 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan28.6%25.0–52.3%7 months, 252 flights
Feb27.5%8.8–42.9%7 months, 260 flights
Mar20.0%12.5–28.3%7 months, 295 flights
Apr23.3%20.0–57.6%7 months, 254 flights
May28.6%14.3–42.9%7 months, 261 flights
Jun38.2%25.5–43.6%7 months, 249 flights
Jul41.9%11.1–65.7%6 months, 200 flights
Aug37.9%25.8–56.7%6 months, 195 flights
Sep41.7%20.0–60.7%6 months, 199 flights
Oct44.0%10.8–56.7%6 months, 227 flights
Nov26.0%9.4–49.2%6 months, 244 flights
Dec45.6%17.5–62.3%6 months, 270 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?

On the published record there is no clear winner: Easyjet Uk 29.7% of 239 movements, Ryanair 42.2% of 327 movements. Observed shares differ; the mix of operations is not matched, so no causal conclusion follows.

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 optionEasyjet Uk29.7% of 239 flightsRyanair42.2% of 327 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk23929.7% of 239 movements0.4% of 239 movements0.8% of 239 movementsdescriptive comparison
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair32742.2% of 327 movements0.3% of 327 movements1.2% of 327 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, ABZ had the lowest disruption share at 10.1% of 119 movements and MAN the highest at 41.5% of 815 movements. This route sits at 36.6% of 579 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 optionAbz ↔ Krakow10.1% of 119 flightsBfs ↔ Krakow27.4% of 259 flightsBhx ↔ Krakow30.3% of 600 flightsBoh ↔ Krakow31.6% of 177 flightsBrs ↔ Krakow25.2% of 639 flightsEma ↔ Krakow29.3% of 276 flightsGla ↔ Krakow19.5% of 267 flightsLba ↔ Krakow15.8% of 468 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Krakow11910.1% of 119 movements0.8% of 119 movementsno events in 119 movementsdescriptive comparison
Bfs ↔ Krakow25927.4% of 259 movements0.4% of 259 movements0.8% of 259 movementsdescriptive comparison
Bhx ↔ Krakow60030.3% of 600 movements0.2% of 600 movements1.2% of 600 movementsdescriptive comparison
Boh ↔ Krakow17731.6% of 177 movements0.6% of 177 movements1.1% of 177 movementsdescriptive comparison
Brs ↔ Krakow63925.2% of 639 movements0.8% of 639 movements0.5% of 639 movementsdescriptive comparison
Cwl ↔ Krakowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Krakowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Krakow27629.3% of 276 movementsno events in 276 movements1.8% of 276 movementsdescriptive comparison
Ext ↔ Krakowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Krakow26719.5% of 267 movements0.7% of 267 movements0.7% of 267 movementsdescriptive comparison
Lba ↔ Krakow46815.8% of 468 movements0.6% of 468 movements0.9% of 468 movementsdescriptive comparison
Lgw ↔ Krakow84025.8% of 840 movements1.2% of 840 movements0.5% of 840 movementsdescriptive comparison
Lhr ↔ Krakow24118.3% of 241 movements0.4% of 241 movements0.4% of 241 movementsdescriptive comparison
Lpl ↔ Krakow40915.4% of 409 movements1.0% of 409 movements1.0% of 409 movementsdescriptive comparison
Ltn ↔ Krakow74424.3% of 744 movements0.5% of 744 movements0.8% of 744 movementsdescriptive comparison
Man ↔ Krakow81541.5% of 815 movements0.9% of 815 movements1.6% of 815 movementsdescriptive comparison
Ncl ↔ Krakow29118.9% of 291 movementsno events in 291 movements2.1% of 291 movementsdescriptive comparison
Sou ↔ Krakowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Krakow1,06428.9% of 1,064 movements0.4% of 1,064 movements0.8% of 1,064 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into EDI ran 36.6% of 579 movements disrupted, departures 22.4% of 581 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 EDI36.6% of 579 movements0.3% of 579 movements1.0% of 579 movements
Departures from EDI22.4% of 581 movements0.2% of 581 movements0.2% of 581 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 202620 flights out of 3,28420 × £350 = £7,000
ArrivalsLast 72 months · Jul 2020–Jun 202617 flights out of 2,37517 × £350 = £5,950
DeparturesWhole archive · Jan 2018–Jun 202610 flights out of 3,27410 × £350 = £3,500
DeparturesLast 72 months · Jul 2020–Jun 20268 flights out of 2,3658 × £350 = £2,800
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 airportEDINBURGH · EDI
Final point / countryKRAKOW / POLAND
Final point codesKRK / EPKK
Great-circle distance1,671 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.58
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthJan 2018–Jun 2026
Months with operations in the archive98

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

What this data cannot tell you

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

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

Data-quality counters for this route

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

Unmatched records: 0; all recorded operations: 579; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

36.6% of 579 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.3% of 579 movements in the same window.

How many delays crossed three hours?

1.0% of 579 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?

1,671 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

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