UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

EDI ↔ BERLIN BRANDENBURG

In the twelve months from July 2025 to June 2026, 37.1% 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, 62.9% 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, 37.1% of 579 movements were disrupted and 1.4% 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
37.1% of 579 movements1.4% of 579 movements31.9–56.7 min; N of delayed flights=207–351579
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: 1.4% 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 min35.8%30 min21.1%60 min8.8%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 min35.8% of 579 movements2072.8
>30 min21.1% of 579 movements1224.7
>60 min8.8% of 579 movements5111.4
>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 early16728.8%0–15 late14424.9%16–308514.7%31–607112.3%61…120417.1%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 2025, 12.3% of 57 movements. Worst month: Aug 2022, 66.7% of 57 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: no data×2018Feb 2018: no data×Mar 2018: no data×Apr 2018: no data×May 2018: no data×Jun 2018: no data×Jul 2018: no data×Aug 2018: no data×Sep 2018: no data×Oct 2018: no data×Nov 2018: no data×Dec 2018: no data×Jan 2019: 44.4%; sample: 272019Feb 2019: 41.7%; sample: 24Mar 2019: 38.5%; sample: 26Apr 2019: no data×May 2019: no data×Jun 2019: no data×Jul 2019: no data×Aug 2019: no data×Sep 2019: no data×Oct 2019: no data×Nov 2019: no data×Dec 2019: no data×Jan 2020: no data×2020Feb 2020: no data×Mar 2020: no data×Apr 2020: no data×May 2020: no data×Jun 2020: no data×Jul 2020: no data×Aug 2020: no data×Sep 2020: no data×Oct 2020: suppressed: fewer than twenty movements×Nov 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: no data×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: 29.2%; sample: 24Oct 2021: 44.4%; sample: 27Nov 2021: suppressed: fewer than twenty movements×Dec 2021: 11.1%; sample: 27Jan 2022: suppressed: fewer than twenty movements×2022Feb 2022: 25.0%; sample: 24Mar 2022: 17.6%; sample: 34Apr 2022: 26.4%; sample: 53May 2022: 43.5%; sample: 46Jun 2022: 46.7%; sample: 60Jul 2022: 58.1%; sample: 62Aug 2022: 66.7%; sample: 57Sep 2022: 58.3%; sample: 60Oct 2022: 54.1%; sample: 61Nov 2022: 40.0%; sample: 25Dec 2022: 54.1%; sample: 37Jan 2023: 48.3%; sample: 292023Feb 2023: 46.4%; sample: 28Mar 2023: 41.7%; sample: 36Apr 2023: 28.8%; sample: 52May 2023: 25.0%; sample: 48Jun 2023: 48.1%; sample: 52Jul 2023: 57.8%; sample: 45Aug 2023: 48.8%; sample: 43Sep 2023: 55.3%; sample: 38Oct 2023: 68.4%; sample: 38Nov 2023: 20.9%; sample: 43Dec 2023: 60.4%; sample: 48Jan 2024: 20.0%; sample: 352024Feb 2024: 21.1%; sample: 38Mar 2024: 25.5%; sample: 47Apr 2024: 40.0%; sample: 65May 2024: 43.3%; sample: 67Jun 2024: 41.4%; sample: 58Jul 2024: 53.8%; sample: 52Aug 2024: 32.7%; sample: 49Sep 2024: 42.4%; sample: 59Oct 2024: 24.2%; sample: 62Nov 2024: 16.3%; sample: 49Dec 2024: 23.7%; sample: 59Jan 2025: 25.5%; sample: 512025Feb 2025: 27.5%; sample: 51Mar 2025: 12.3%; sample: 57Apr 2025: 32.7%; sample: 55May 2025: 27.8%; sample: 54Jun 2025: 43.8%; sample: 48Jul 2025: 56.8%; sample: 44Aug 2025: 42.2%; sample: 45Sep 2025: 51.0%; sample: 51Oct 2025: 46.4%; sample: 56Nov 2025: 21.6%; sample: 51Dec 2025: 24.1%; sample: 54Jan 2026: 34.9%; sample: 432026Feb 2026: 35.6%; sample: 45Mar 2026: 21.2%; sample: 52Apr 2026: 31.0%; sample: 42May 2026: 34.1%; sample: 44Jun 2026: 48.1%; sample: 52Pandemic 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 2018no data
Feb 2018no data
Mar 2018no data
Apr 2018no data
May 2018no data
Jun 2018no data
Jul 2018no data
Aug 2018no data
Sep 2018no data
Oct 2018no data
Nov 2018no data
Dec 2018no data
Jan 201944.4% of 27 movements — small sample, not ranked
Feb 201941.7% of 24 movements — small sample, not ranked
Mar 201938.5% of 26 movements — small sample, not ranked
Apr 2019no data
May 2019no data
Jun 2019no data
Jul 2019no data
Aug 2019no data
Sep 2019no data
Oct 2019no data
Nov 2019no data
Dec 2019no data
Jan 2020no data
Feb 2020no data
Mar 2020no data
Apr 2020no data
May 2020no data
Jun 2020no data
Jul 2020no data
Aug 2020no data
Sep 2020no data
Oct 2020suppressed: fewer than twenty movements
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 2021no data
May 2021no data
Jun 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 202129.2% of 24 movements — small sample, not ranked
Oct 202144.4% of 27 movements — small sample, not ranked
Nov 2021suppressed: fewer than twenty movements
Dec 202111.1% of 27 movements — small sample, not ranked
Jan 2022suppressed: fewer than twenty movements
Feb 202225.0% of 24 movements — small sample, not ranked
Mar 202217.6% of 34 movements — small sample, not ranked
Apr 202226.4% of 53 movements
May 202243.5% of 46 movements — small sample, not ranked
Jun 202246.7% of 60 movements
Jul 202258.1% of 62 movements
Aug 202266.7% of 57 movements
Sep 202258.3% of 60 movements
Oct 202254.1% of 61 movements
Nov 202240.0% of 25 movements — small sample, not ranked
Dec 202254.1% of 37 movements — small sample, not ranked
Jan 202348.3% of 29 movements — small sample, not ranked
Feb 202346.4% of 28 movements — small sample, not ranked
Mar 202341.7% of 36 movements — small sample, not ranked
Apr 202328.8% of 52 movements
May 202325.0% of 48 movements — small sample, not ranked
Jun 202348.1% of 52 movements
Jul 202357.8% of 45 movements — small sample, not ranked
Aug 202348.8% of 43 movements — small sample, not ranked
Sep 202355.3% of 38 movements — small sample, not ranked
Oct 202368.4% of 38 movements — small sample, not ranked
Nov 202320.9% of 43 movements — small sample, not ranked
Dec 202360.4% of 48 movements — small sample, not ranked
Jan 202420.0% of 35 movements — small sample, not ranked
Feb 202421.1% of 38 movements — small sample, not ranked
Mar 202425.5% of 47 movements — small sample, not ranked
Apr 202440.0% of 65 movements
May 202443.3% of 67 movements
Jun 202441.4% of 58 movements
Jul 202453.8% of 52 movements
Aug 202432.7% of 49 movements — small sample, not ranked
Sep 202442.4% of 59 movements
Oct 202424.2% of 62 movements
Nov 202416.3% of 49 movements — small sample, not ranked
Dec 202423.7% of 59 movements
Jan 202525.5% of 51 movements
Feb 202527.5% of 51 movements
Mar 202512.3% of 57 movements
Apr 202532.7% of 55 movements
May 202527.8% of 54 movements
Jun 202543.8% of 48 movements — small sample, not ranked
Jul 202556.8% of 44 movements — small sample, not ranked
Aug 202542.2% of 45 movements — small sample, not ranked
Sep 202551.0% of 51 movements
Oct 202546.4% of 56 movements
Nov 202521.6% of 51 movements
Dec 202524.1% of 54 movements
Jan 202634.9% of 43 movements — small sample, not ranked
Feb 202635.6% of 45 movements — small sample, not ranked
Mar 202621.2% of 52 movements
Apr 202631.0% of 42 movements — small sample, not ranked
May 202634.1% of 44 movements — small sample, not ranked
Jun 202648.1% of 52 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 2020Arrivalsno datano complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuresno datano complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals58.1% of 62 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures35.5% of 62 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals48.8% of 43 movements — small sample, not ranked47.4% across 530 flightsreturned after 3 months
NATS system failure · Aug 2023Departures46.5% of 43 movements — small sample, not ranked29.6% across 529 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals12.3% of 57 movements33.0% across 669 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures17.5% of 57 movements27.3% across 668 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, 57.3% of arrivals were disrupted, measured across 4 Julys in the archive. November has been the calmest, at 21.2% across 4 Novembers.

Even July has ranged from 53.8% to 58.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201944.4% of 27 movements †41.7% of 24 movements †38.5% of 26 movements †no datano datano datano datano datano datano datano datano data2020no datano datano datano datano datano datano datano datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements29.2% of 24 movements †44.4% of 27 movements †suppressed: fewer than twenty movements11.1% of 27 movements †2022suppressed: fewer than twenty movements25.0% of 24 movements †17.6% of 34 movements †26.4% of 53 movements43.5% of 46 movements †46.7% of 60 movements58.1% of 62 movements66.7% of 57 movements58.3% of 60 movements54.1% of 61 movements40.0% of 25 movements †54.1% of 37 movements †202348.3% of 29 movements †46.4% of 28 movements †41.7% of 36 movements †28.8% of 52 movements25.0% of 48 movements †48.1% of 52 movements57.8% of 45 movements †48.8% of 43 movements †55.3% of 38 movements †68.4% of 38 movements †20.9% of 43 movements †60.4% of 48 movements †202420.0% of 35 movements †21.1% of 38 movements †25.5% of 47 movements †40.0% of 65 movements43.3% of 67 movements41.4% of 58 movements53.8% of 52 movements32.7% of 49 movements †42.4% of 59 movements24.2% of 62 movements16.3% of 49 movements †23.7% of 59 movements202525.5% of 51 movements27.5% of 51 movements12.3% of 57 movements32.7% of 55 movements27.8% of 54 movements43.8% of 48 movements †56.8% of 44 movements †42.2% of 45 movements †51.0% of 51 movements46.4% of 56 movements21.6% of 51 movements24.1% of 54 movements202634.9% of 43 movements †35.6% of 45 movements †21.2% of 52 movements31.0% of 42 movements †34.1% of 44 movements †48.1% of 52 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan34.9%20.0–48.3%5 months, 185 flights
Feb31.5%21.1–46.4%6 months, 210 flights
Mar23.3%12.3–41.7%6 months, 252 flights
Apr31.0%26.4–40.0%5 months, 267 flights
May34.1%25.0–43.5%5 months, 259 flights
Jun46.7%41.4–48.1%5 months, 270 flights
Jul57.3%53.8–58.1%4 months, 203 flights
Aug45.5%32.7–66.7%4 months, 194 flights
Sep53.1%42.4–58.3%4 months, 208 flights
Oct50.3%24.2–68.4%4 months, 217 flights
Nov21.2%16.3–40.0%4 months, 168 flights
Dec39.1%23.7–60.4%4 months, 198 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 Europe 13.5% of 52 movements, Ryanair 36.7% of 275 movements, Easyjet Uk 42.5% of 252 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 Europe13.5% of 52 flightsEasyjet Uk42.5% of 252 flightsRyanair36.7% of 275 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 Europe5213.5% of 52 movements3.8% of 52 movementsno events in 52 movementsdescriptive comparison
Easyjet Uk25242.5% of 252 movements2.0% of 252 movements0.4% of 252 movementsdescriptive comparison
Ryanair27536.7% of 275 movements0.4% of 275 movements1.8% of 275 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, LPL had the lowest disruption share at 10.8% of 83 movements and BHX the highest at 41.8% of 342 movements. This route sits at 37.1% 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 optionBhx ↔ Berlin-Brandenburg41.8% of 342 flightsBrs ↔ Berlin-Brandenburg38.0% of 266 flightsEma ↔ Berlin-Brandenburg35.7% of 70 flightsGla ↔ Berlin-Brandenburg25.0% of 68 flightsLcy ↔ Berlin-Brandenburg25.2% of 1,091 flightsLgw ↔ Berlin-Brandenburg24.2% of 990 flightsLhr ↔ Berlin-Brandenburg22.9% of 2,480 flightsLpl ↔ Berlin-Brandenburg10.8% of 83 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Berlin-Brandenburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Berlin-Brandenburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Berlin-Brandenburg34241.8% of 342 movements1.5% of 342 movementsno events in 342 movementsdescriptive comparison
Brs ↔ Berlin-Brandenburg26638.0% of 266 movements1.9% of 266 movementsno events in 266 movementsdescriptive comparison
Cwl ↔ Berlin-Brandenburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Berlin-Brandenburg7035.7% of 70 movementsno events in 70 movements1.4% of 70 movementsdescriptive comparison
Gla ↔ Berlin-Brandenburg6825.0% of 68 movementsno events in 68 movementsno events in 68 movementsdescriptive comparison
Jer ↔ Berlin-Brandenburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Berlin-Brandenburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Berlin-Brandenburg1,09125.2% of 1,091 movements2.5% of 1,091 movements0.3% of 1,091 movementsdescriptive comparison
Lgw ↔ Berlin-Brandenburg99024.2% of 990 movements2.3% of 990 movements0.5% of 990 movementsdescriptive comparison
Lhr ↔ Berlin-Brandenburg2,48022.9% of 2,480 movements2.1% of 2,480 movements0.7% of 2,480 movementsdescriptive comparison
Lpl ↔ Berlin-Brandenburg8310.8% of 83 movements3.6% of 83 movementsno events in 83 movementsdescriptive comparison
Ltn ↔ Berlin-Brandenburg25437.0% of 254 movements3.1% of 254 movements0.8% of 254 movementsdescriptive comparison
Man ↔ Berlin-Brandenburg88838.9% of 888 movements2.1% of 888 movements0.2% of 888 movementsdescriptive comparison
Ncl ↔ Berlin-Brandenburg5217.3% of 52 movementsno events in 52 movementsno events in 52 movementsdescriptive comparison
Sen ↔ Berlin-Brandenburg7125.4% of 71 movements1.4% of 71 movementsno events in 71 movementsdescriptive comparison
Sou ↔ Berlin-Brandenburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Berlin-Brandenburg1,20425.0% of 1,204 movements0.9% of 1,204 movements0.7% of 1,204 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into EDI ran 37.1% of 579 movements disrupted, departures 30.8% of 577 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 EDI37.1% of 579 movements1.4% of 579 movements1.0% of 579 movements
Departures from EDI30.8% of 577 movements1.0% of 577 movements0.7% of 577 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 202611 flights out of 2,79311 × £220 = £2,420
ArrivalsLast 72 months · Jul 2020–Jun 202610 flights out of 2,71610 × £220 = £2,200
DeparturesWhole archive · Jan 2018–Jun 20269 flights out of 2,7879 × £220 = £1,980
DeparturesLast 72 months · Jul 2020–Jun 20269 flights out of 2,7109 × £220 = £1,980
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 / countryBERLIN BRANDENBURG / GERMANY
Final point codesBER / EDDB
Great-circle distance1,165 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.56
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthJan 2019–Jun 2026
Months with operations in the archive68

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?

37.1% 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?

1.4% 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?

1,165 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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