UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ BERLIN BRANDENBURG

In the twelve months from July 2025 to June 2026, 22.9% of 2,480 movements arriving into LHR were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 77.1% of 2,480 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 146 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, 22.9% of 2,480 movements were disrupted and 2.1% of 2,480 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
22.9% of 2,480 movements2.1% of 2,480 movements29.0–66.4 min; N of delayed flights=516–1,0972,480
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: 2.1% of 2,480 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 min20.8%30 min11.7%60 min4.8%120 min1.4%180 min0.7%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min20.8% of 2,480 movements5164.8
>30 min11.7% of 2,480 movements2918.5
>60 min4.8% of 2,480 movements11821.0
>120 min1.4% of 2,480 movements3472.9
>180 min0.7% of 2,480 movements17145.9
>360 min0.2% of 2,480 movements6413.3
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 early45318.3%15–1 early87735.4%0–15 late58123.4%16–302259.1%31–601737.0%61…120843.4%121…180170.7%181…360110.4%>36060.2%D=2,480
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0427; 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: Apr 2025, 6.2% of 195 movements. Worst month: Dec 2022, 69.6% of 148 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: no data×2019Feb 2019: no data×Mar 2019: no data×Apr 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: no data×Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 17.9%; sample: 39Jan 2021: 28.6%; sample: 212021Feb 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: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: 9.1%; sample: 66Sep 2021: 17.9%; sample: 78Oct 2021: 24.5%; sample: 102Nov 2021: 27.8%; sample: 90Dec 2021: 28.2%; sample: 85Jan 2022: 13.7%; sample: 732022Feb 2022: 25.6%; sample: 78Mar 2022: 26.4%; sample: 121Apr 2022: 32.9%; sample: 155May 2022: 43.0%; sample: 158Jun 2022: 55.4%; sample: 139Jul 2022: 52.1%; sample: 117Aug 2022: 38.3%; sample: 94Sep 2022: 60.7%; sample: 84Oct 2022: 50.5%; sample: 109Nov 2022: 40.6%; sample: 165Dec 2022: 69.6%; sample: 148Jan 2023: 30.5%; sample: 1512023Feb 2023: 34.9%; sample: 166Mar 2023: 52.9%; sample: 189Apr 2023: 29.9%; sample: 147May 2023: 29.3%; sample: 167Jun 2023: 42.7%; sample: 143Jul 2023: 47.1%; sample: 140Aug 2023: 46.4%; sample: 151Sep 2023: 48.3%; sample: 149Oct 2023: 44.3%; sample: 183Nov 2023: 32.7%; sample: 199Dec 2023: 60.3%; sample: 184Jan 2024: 30.4%; sample: 1912024Feb 2024: 27.5%; sample: 193Mar 2024: 40.0%; sample: 205Apr 2024: 44.9%; sample: 185May 2024: 45.6%; sample: 193Jun 2024: 50.8%; sample: 177Jul 2024: 49.0%; sample: 196Aug 2024: 42.1%; sample: 183Sep 2024: 51.4%; sample: 181Oct 2024: 35.1%; sample: 202Nov 2024: 15.7%; sample: 217Dec 2024: 28.3%; sample: 219Jan 2025: 23.1%; sample: 2122025Feb 2025: 8.9%; sample: 202Mar 2025: 14.8%; sample: 216Apr 2025: 6.2%; sample: 195May 2025: 16.1%; sample: 199Jun 2025: 16.8%; sample: 184Jul 2025: 26.6%; sample: 188Aug 2025: 16.9%; sample: 183Sep 2025: 50.0%; sample: 216Oct 2025: 28.7%; sample: 240Nov 2025: 12.8%; sample: 211Dec 2025: 18.4%; sample: 223Jan 2026: 32.5%; sample: 1912026Feb 2026: 20.9%; sample: 196Mar 2026: 12.4%; sample: 218Apr 2026: 9.0%; sample: 210May 2026: 21.0%; sample: 200Jun 2026: 25.5%; sample: 204Pandemic 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 2019no data
Feb 2019no data
Mar 2019no data
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 2020no data
Nov 2020suppressed: fewer than twenty movements
Dec 202017.9% of 39 movements — small sample, not ranked
Jan 202128.6% of 21 movements — small sample, not ranked
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 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 20219.1% of 66 movements
Sep 202117.9% of 78 movements
Oct 202124.5% of 102 movements
Nov 202127.8% of 90 movements
Dec 202128.2% of 85 movements
Jan 202213.7% of 73 movements
Feb 202225.6% of 78 movements
Mar 202226.4% of 121 movements
Apr 202232.9% of 155 movements
May 202243.0% of 158 movements
Jun 202255.4% of 139 movements
Jul 202252.1% of 117 movements
Aug 202238.3% of 94 movements
Sep 202260.7% of 84 movements
Oct 202250.5% of 109 movements
Nov 202240.6% of 165 movements
Dec 202269.6% of 148 movements
Jan 202330.5% of 151 movements
Feb 202334.9% of 166 movements
Mar 202352.9% of 189 movements
Apr 202329.9% of 147 movements
May 202329.3% of 167 movements
Jun 202342.7% of 143 movements
Jul 202347.1% of 140 movements
Aug 202346.4% of 151 movements
Sep 202348.3% of 149 movements
Oct 202344.3% of 183 movements
Nov 202332.7% of 199 movements
Dec 202360.3% of 184 movements
Jan 202430.4% of 191 movements
Feb 202427.5% of 193 movements
Mar 202440.0% of 205 movements
Apr 202444.9% of 185 movements
May 202445.6% of 193 movements
Jun 202450.8% of 177 movements
Jul 202449.0% of 196 movements
Aug 202442.1% of 183 movements
Sep 202451.4% of 181 movements
Oct 202435.1% of 202 movements
Nov 202415.7% of 217 movements
Dec 202428.3% of 219 movements
Jan 202523.1% of 212 movements
Feb 20258.9% of 202 movements
Mar 202514.8% of 216 movements
Apr 20256.2% of 195 movements
May 202516.1% of 199 movements
Jun 202516.8% of 184 movements
Jul 202526.6% of 188 movements
Aug 202516.9% of 183 movements
Sep 202550.0% of 216 movements
Oct 202528.7% of 240 movements
Nov 202512.8% of 211 movements
Dec 202518.4% of 223 movements
Jan 202632.5% of 191 movements
Feb 202620.9% of 196 movements
Mar 202612.4% of 218 movements
Apr 20269.0% of 210 movements
May 202621.0% of 200 movements
Jun 202625.5% of 204 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 2022Arrivals52.1% of 117 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures60.7% of 117 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals46.4% of 151 movements43.9% across 1,703 flightsreturned after 3 months
NATS system failure · Aug 2023Departures45.0% of 151 movements45.3% across 1,705 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals14.8% of 216 movements36.2% across 2,372 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures22.6% of 217 movements28.9% across 2,372 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?

September has historically been the hardest month on this route: in a typical September, 50.7% of arrivals were disrupted, measured across 4 Septembers in the archive. November has been the calmest, at 24.2% across 4 Novembers.

Even September has ranged from 48.3% to 60.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec2019no datano datano datano datano datano datano datano datano datano datano datano data2020no datano datano datano datano datano datano datano datano datano datasuppressed: fewer than twenty movements17.9% of 39 movements †202128.6% of 21 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements9.1% of 66 movements17.9% of 78 movements24.5% of 102 movements27.8% of 90 movements28.2% of 85 movements202213.7% of 73 movements25.6% of 78 movements26.4% of 121 movements32.9% of 155 movements43.0% of 158 movements55.4% of 139 movements52.1% of 117 movements38.3% of 94 movements60.7% of 84 movements50.5% of 109 movements40.6% of 165 movements69.6% of 148 movements202330.5% of 151 movements34.9% of 166 movements52.9% of 189 movements29.9% of 147 movements29.3% of 167 movements42.7% of 143 movements47.1% of 140 movements46.4% of 151 movements48.3% of 149 movements44.3% of 183 movements32.7% of 199 movements60.3% of 184 movements202430.4% of 191 movements27.5% of 193 movements40.0% of 205 movements44.9% of 185 movements45.6% of 193 movements50.8% of 177 movements49.0% of 196 movements42.1% of 183 movements51.4% of 181 movements35.1% of 202 movements15.7% of 217 movements28.3% of 219 movements202523.1% of 212 movements8.9% of 202 movements14.8% of 216 movements6.2% of 195 movements16.1% of 199 movements16.8% of 184 movements26.6% of 188 movements16.9% of 183 movements50.0% of 216 movements28.7% of 240 movements12.8% of 211 movements18.4% of 223 movements202632.5% of 191 movements20.9% of 196 movements12.4% of 218 movements9.0% of 210 movements21.0% of 200 movements25.5% of 204 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan30.4%13.7–32.5%5 months, 818 flights
Feb25.6%8.9–34.9%5 months, 835 flights
Mar26.4%12.4–52.9%5 months, 949 flights
Apr29.9%6.2–44.9%5 months, 892 flights
May29.3%16.1–45.6%5 months, 917 flights
Jun42.7%16.8–55.4%5 months, 847 flights
Jul48.1%26.6–52.1%4 months, 641 flights
Aug40.2%16.9–46.4%4 months, 611 flights
Sep50.7%48.3–60.7%4 months, 630 flights
Oct39.7%28.7–50.5%4 months, 734 flights
Nov24.2%12.8–40.6%4 months, 792 flights
Dec44.3%18.4–69.6%4 months, 774 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: Eurowings Luftverkehrs 9.3% of 161 movements, British Airways 23.9% of 2,318 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 optionBritish Airways23.9% of 2,318 flightsEurowings Luftverkehrs9.3% of 161 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways2,31823.9% of 2,318 movements2.2% of 2,318 movements0.7% of 2,318 movementsdescriptive comparison
Delta Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Eurowings Luftverkehrs1619.3% of 161 movements1.9% of 161 movementsno events in 161 movementsdescriptive comparison
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, 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 22.9% of 2,480 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 flightsEdi ↔ Berlin-Brandenburg37.1% of 579 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 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
Edi ↔ Berlin-Brandenburg57937.1% of 579 movements1.4% of 579 movements1.0% of 579 movementsdescriptive comparison
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
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?

Barely: arrivals into LHR ran 22.9% of 2,480 movements disrupted, departures 20.3% of 2,474 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 LHR22.9% of 2,480 movements2.1% of 2,480 movements0.7% of 2,480 movements
Departures from LHR20.3% of 2,474 movements1.8% of 2,474 movements0.1% of 2,474 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 202652 flights out of 10,02352 × £220 = £11,440
ArrivalsLast 72 months · Jul 2020–Jun 202652 flights out of 10,02352 × £220 = £11,440
DeparturesWhole archive · Jan 2018–Jun 202615 flights out of 10,01015 × £220 = £3,300
DeparturesLast 72 months · Jul 2020–Jun 202615 flights out of 10,01015 × £220 = £3,300
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 airportHEATHROW · LHR
Final point / countryBERLIN BRANDENBURG / GERMANY
Final point codesBER / EDDB
Great-circle distance961 km
Maximum statutory amount for the band£220
Average operated arrivals per day6.65
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthNov 2020–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: 2,480; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

22.9% of 2,480 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.1% of 2,480 movements in the same window.

How many delays crossed three hours?

0.7% of 2,480 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?

961 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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