UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ HAMBURG

In the twelve months from July 2025 to June 2026, 25.5% of 2,271 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, 74.5% of 2,271 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 252 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, 25.5% of 2,271 movements were disrupted and 1.0% of 2,271 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
25.5% of 2,271 movements1.0% of 2,271 movements22.4–53.7 min; N of delayed flights=555–1,2292,271
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: 1.0% of 2,271 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 min24.4%30 min11.6%60 min4.4%120 min1.2%180 min0.4%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min24.4% of 2,271 movements5554.1
>30 min11.6% of 2,271 movements2648.6
>60 min4.4% of 2,271 movements9922.9
>120 min1.2% of 2,271 movements2784.1
>180 min0.4% of 2,271 movements9252.3
>360 minno events in 2,271 movements0no observed events, which is not zero risk
Definitions, denominators and limits

CAA counts delays strictly greater than each threshold, so exactly three hours is inseparable from the previous bucket. The ladder describes the archive, not a forecast.

Slightly late, or occasionally a disaster?

When this route runs late, it is usually only a little late: big blow-ups are rarer here than on the typical UK route.

The histogram below counts every recorded arrival, from more than fifteen minutes early through to more than six hours late. A tall bar near the middle and a thin right-hand tail is the healthy shape.

Nine delay buckets, minutes; share of all recorded operations>15 early23710.4%15–1 early78234.4%0–15 late67429.7%16–3029112.8%31–601657.3%61…120723.2%121…180180.8%181…36090.4%>36000.0%D=2,271
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0197; 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: Sep 2020, 2.7% of 73 movements. Worst month: Sep 2024, 60.8% of 186 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: 28.9%; sample: 2112018Feb 2018: 21.5%; sample: 205Mar 2018: 23.6%; sample: 233Apr 2018: 23.3%; sample: 215May 2018: 14.7%; sample: 225Jun 2018: 18.7%; sample: 214Jul 2018: 21.9%; sample: 219Aug 2018: 14.8%; sample: 209Sep 2018: 19.4%; sample: 211Oct 2018: 22.5%; sample: 227Nov 2018: 24.6%; sample: 228Dec 2018: 31.1%; sample: 209Jan 2019: 10.3%; sample: 2142019Feb 2019: 19.4%; sample: 201Mar 2019: 24.2%; sample: 231Apr 2019: 8.1%; sample: 223May 2019: 12.2%; sample: 222Jun 2019: 26.4%; sample: 212Jul 2019: 21.1%; sample: 223Aug 2019: 21.6%; sample: 218Sep 2019: 23.2%; sample: 203Oct 2019: 28.8%; sample: 226Nov 2019: 11.5%; sample: 226Dec 2019: 15.2%; sample: 210Jan 2020: 7.6%; sample: 2232020Feb 2020: 33.0%; sample: 212Mar 2020: 7.5%; sample: 161Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: 10.0%; sample: 20Jul 2020: 2.7%; sample: 37Aug 2020: 13.2%; sample: 53Sep 2020: 2.7%; sample: 73Oct 2020: 7.3%; sample: 109Nov 2020: 18.4%; sample: 38Dec 2020: 26.9%; sample: 26Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: 4.3%; sample: 23May 2021: 16.0%; sample: 25Jun 2021: 15.0%; sample: 20Jul 2021: suppressed: fewer than twenty movements×Aug 2021: 0.0%; sample: 25Sep 2021: 6.6%; sample: 61Oct 2021: 17.0%; sample: 88Nov 2021: 6.0%; sample: 116Dec 2021: 14.0%; sample: 93Jan 2022: 7.5%; sample: 532022Feb 2022: 10.7%; sample: 56Mar 2022: 20.5%; sample: 156Apr 2022: 17.7%; sample: 158May 2022: 31.7%; sample: 186Jun 2022: 45.1%; sample: 162Jul 2022: 40.0%; sample: 150Aug 2022: 22.1%; sample: 136Sep 2022: 48.2%; sample: 137Oct 2022: 41.2%; sample: 148Nov 2022: 16.3%; sample: 196Dec 2022: 33.2%; sample: 187Jan 2023: 18.3%; sample: 1802023Feb 2023: 17.8%; sample: 180Mar 2023: 34.4%; sample: 209Apr 2023: 28.9%; sample: 187May 2023: 33.0%; sample: 200Jun 2023: 38.9%; sample: 175Jul 2023: 45.4%; sample: 185Aug 2023: 35.6%; sample: 188Sep 2023: 51.7%; sample: 180Oct 2023: 49.3%; sample: 207Nov 2023: 25.0%; sample: 220Dec 2023: 50.0%; sample: 208Jan 2024: 20.1%; sample: 1942024Feb 2024: 27.1%; sample: 210Mar 2024: 30.3%; sample: 221Apr 2024: 38.9%; sample: 190May 2024: 48.2%; sample: 199Jun 2024: 42.0%; sample: 176Jul 2024: 51.6%; sample: 192Aug 2024: 43.2%; sample: 190Sep 2024: 60.8%; sample: 186Oct 2024: 37.3%; sample: 209Nov 2024: 19.7%; sample: 213Dec 2024: 30.1%; sample: 209Jan 2025: 19.5%; sample: 2102025Feb 2025: 5.8%; sample: 191Mar 2025: 20.1%; sample: 209Apr 2025: 14.9%; sample: 195May 2025: 18.9%; sample: 190Jun 2025: 21.7%; sample: 180Jul 2025: 24.7%; sample: 178Aug 2025: 26.7%; sample: 176Sep 2025: 45.7%; sample: 186Oct 2025: 29.5%; sample: 200Nov 2025: 16.8%; sample: 208Dec 2025: 23.9%; sample: 213Jan 2026: 37.2%; sample: 1832026Feb 2026: 19.7%; sample: 183Mar 2026: 14.7%; sample: 204Apr 2026: 16.3%; sample: 190May 2026: 23.1%; sample: 182Jun 2026: 29.8%; sample: 168Pandemic 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 201828.9% of 211 movements
Feb 201821.5% of 205 movements
Mar 201823.6% of 233 movements
Apr 201823.3% of 215 movements
May 201814.7% of 225 movements
Jun 201818.7% of 214 movements
Jul 201821.9% of 219 movements
Aug 201814.8% of 209 movements
Sep 201819.4% of 211 movements
Oct 201822.5% of 227 movements
Nov 201824.6% of 228 movements
Dec 201831.1% of 209 movements
Jan 201910.3% of 214 movements
Feb 201919.4% of 201 movements
Mar 201924.2% of 231 movements
Apr 20198.1% of 223 movements
May 201912.2% of 222 movements
Jun 201926.4% of 212 movements
Jul 201921.1% of 223 movements
Aug 201921.6% of 218 movements
Sep 201923.2% of 203 movements
Oct 201928.8% of 226 movements
Nov 201911.5% of 226 movements
Dec 201915.2% of 210 movements
Jan 20207.6% of 223 movements
Feb 202033.0% of 212 movements
Mar 20207.5% of 161 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 202010.0% of 20 movements — small sample, not ranked
Jul 20202.7% of 37 movements — small sample, not ranked
Aug 202013.2% of 53 movements
Sep 20202.7% of 73 movements
Oct 20207.3% of 109 movements
Nov 202018.4% of 38 movements — small sample, not ranked
Dec 202026.9% of 26 movements — small sample, not ranked
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 20214.3% of 23 movements — small sample, not ranked
May 202116.0% of 25 movements — small sample, not ranked
Jun 202115.0% of 20 movements — small sample, not ranked
Jul 2021suppressed: fewer than twenty movements
Aug 2021no events in 25 movements — small sample, not ranked
Sep 20216.6% of 61 movements
Oct 202117.0% of 88 movements
Nov 20216.0% of 116 movements
Dec 202114.0% of 93 movements
Jan 20227.5% of 53 movements
Feb 202210.7% of 56 movements
Mar 202220.5% of 156 movements
Apr 202217.7% of 158 movements
May 202231.7% of 186 movements
Jun 202245.1% of 162 movements
Jul 202240.0% of 150 movements
Aug 202222.1% of 136 movements
Sep 202248.2% of 137 movements
Oct 202241.2% of 148 movements
Nov 202216.3% of 196 movements
Dec 202233.2% of 187 movements
Jan 202318.3% of 180 movements
Feb 202317.8% of 180 movements
Mar 202334.4% of 209 movements
Apr 202328.9% of 187 movements
May 202333.0% of 200 movements
Jun 202338.9% of 175 movements
Jul 202345.4% of 185 movements
Aug 202335.6% of 188 movements
Sep 202351.7% of 180 movements
Oct 202349.3% of 207 movements
Nov 202325.0% of 220 movements
Dec 202350.0% of 208 movements
Jan 202420.1% of 194 movements
Feb 202427.1% of 210 movements
Mar 202430.3% of 221 movements
Apr 202438.9% of 190 movements
May 202448.2% of 199 movements
Jun 202442.0% of 176 movements
Jul 202451.6% of 192 movements
Aug 202443.2% of 190 movements
Sep 202460.8% of 186 movements
Oct 202437.3% of 209 movements
Nov 202419.7% of 213 movements
Dec 202430.1% of 209 movements
Jan 202519.5% of 210 movements
Feb 20255.8% of 191 movements
Mar 202520.1% of 209 movements
Apr 202514.9% of 195 movements
May 202518.9% of 190 movements
Jun 202521.7% of 180 movements
Jul 202524.7% of 178 movements
Aug 202526.7% of 176 movements
Sep 202545.7% of 186 movements
Oct 202529.5% of 200 movements
Nov 202516.8% of 208 movements
Dec 202523.9% of 213 movements
Jan 202637.2% of 183 movements
Feb 202619.7% of 183 movements
Mar 202614.7% of 204 movements
Apr 202616.3% of 190 movements
May 202623.1% of 182 movements
Jun 202629.8% of 168 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 2020Arrivals10.0% of 20 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures10.0% of 20 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals40.0% of 150 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures54.7% of 148 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals35.6% of 188 movements31.5% across 2,120 flightsreturned after 3 months
NATS system failure · Aug 2023Departures46.8% of 188 movements41.5% across 2,122 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals20.1% of 209 movements35.6% across 2,386 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures22.5% of 209 movements35.3% across 2,387 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, 46.9% of arrivals were disrupted, measured across 6 Septembers in the archive. April has been the calmest, at 17.7% across 7 Aprils.

Even September has ranged from 19.4% to 60.8% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201910.3% of 214 movements19.4% of 201 movements24.2% of 231 movements8.1% of 223 movements12.2% of 222 movements26.4% of 212 movements21.1% of 223 movements21.6% of 218 movements23.2% of 203 movements28.8% of 226 movements11.5% of 226 movements15.2% of 210 movements20207.6% of 223 movements33.0% of 212 movements7.5% of 161 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements10.0% of 20 movements †2.7% of 37 movements †13.2% of 53 movements2.7% of 73 movements7.3% of 109 movements18.4% of 38 movements †26.9% of 26 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements4.3% of 23 movements †16.0% of 25 movements †15.0% of 20 movements †suppressed: fewer than twenty movementsno events in 25 movements †6.6% of 61 movements17.0% of 88 movements6.0% of 116 movements14.0% of 93 movements20227.5% of 53 movements10.7% of 56 movements20.5% of 156 movements17.7% of 158 movements31.7% of 186 movements45.1% of 162 movements40.0% of 150 movements22.1% of 136 movements48.2% of 137 movements41.2% of 148 movements16.3% of 196 movements33.2% of 187 movements202318.3% of 180 movements17.8% of 180 movements34.4% of 209 movements28.9% of 187 movements33.0% of 200 movements38.9% of 175 movements45.4% of 185 movements35.6% of 188 movements51.7% of 180 movements49.3% of 207 movements25.0% of 220 movements50.0% of 208 movements202420.1% of 194 movements27.1% of 210 movements30.3% of 221 movements38.9% of 190 movements48.2% of 199 movements42.0% of 176 movements51.6% of 192 movements43.2% of 190 movements60.8% of 186 movements37.3% of 209 movements19.7% of 213 movements30.1% of 209 movements202519.5% of 210 movements5.8% of 191 movements20.1% of 209 movements14.9% of 195 movements18.9% of 190 movements21.7% of 180 movements24.7% of 178 movements26.7% of 176 movements45.7% of 186 movements29.5% of 200 movements16.8% of 208 movements23.9% of 213 movements202637.2% of 183 movements19.7% of 183 movements14.7% of 204 movements16.3% of 190 movements23.1% of 182 movements29.8% of 168 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan19.5%7.5–37.2%7 months, 1,245 flights
Feb19.4%5.8–27.1%7 months, 1,226 flights
Mar23.6%14.7–34.4%7 months, 1,463 flights
Apr17.7%8.1–38.9%7 months, 1,358 flights
May23.1%12.2–48.2%7 months, 1,404 flights
Jun29.8%18.7–45.1%7 months, 1,287 flights
Jul32.4%21.1–51.6%6 months, 1,147 flights
Aug24.4%14.8–43.2%6 months, 1,117 flights
Sep46.9%19.4–60.8%6 months, 1,103 flights
Oct33.4%22.5–49.3%6 months, 1,217 flights
Nov18.3%11.5–25.0%6 months, 1,291 flights
Dec30.6%15.2–50.0%6 months, 1,236 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: British Airways 20.5% of 1,298 movements, Eurowings Luftverkehrs 32.1% of 973 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 Airways20.5% of 1,298 flightsEurowings Luftverkehrs32.1% of 973 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways1,29820.5% of 1,298 movements1.2% of 1,298 movements0.5% of 1,298 movementsdescriptive comparison
Eurowings Luftverkehrs97332.1% of 973 movements0.8% of 973 movements0.3% of 973 movementsdescriptive comparison
Garuda Indonesiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Germanwingssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tuifly (Germany)suppressed: 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, LGW had the lowest disruption share at 39.7% of 292 movements and MAN the highest at 46.0% of 354 movements. This route sits at 25.5% of 2,271 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 optionLgw ↔ Hamburg39.7% of 292 flightsMan ↔ Hamburg46.0% of 354 flightsStn ↔ Hamburg40.0% of 465 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Hamburg29239.7% of 292 movements1.0% of 292 movementsno events in 292 movementsdescriptive comparison
Lpl ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Hamburg35446.0% of 354 movements1.4% of 354 movements0.8% of 354 movementsdescriptive comparison
Ncl ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Hamburg46540.0% of 465 movementsno events in 465 movements0.9% of 465 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 25.5% of 2,271 movements disrupted, departures 27.9% of 2,270 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 LHR25.5% of 2,271 movements1.0% of 2,271 movements0.4% of 2,271 movements
Departures from LHR27.9% of 2,270 movements1.1% of 2,270 movements0.3% of 2,270 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 202647 flights out of 16,52447 × £220 = £10,340
ArrivalsLast 72 months · Jul 2020–Jun 202638 flights out of 10,69338 × £220 = £8,360
DeparturesWhole archive · Jan 2018–Jun 202628 flights out of 16,50828 × £220 = £6,160
DeparturesLast 72 months · Jul 2020–Jun 202621 flights out of 10,68021 × £220 = £4,620
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 / countryHAMBURG / GERMANY
Final point codesHAM / EDDH
Great-circle distance745 km
Maximum statutory amount for the band£220
Average operated arrivals per day6.16
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthJan 2018–Jun 2026
Months with operations in the archive100

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

What this data cannot tell you

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

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

Data-quality counters for this route

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

Unmatched records: 0; all recorded operations: 2,271; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

25.5% of 2,271 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.0% of 2,271 movements in the same window.

How many delays crossed three hours?

0.4% of 2,271 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

chronically slightly late. The class compares the tail with short delays across routes in the corpus.

What distance is used?

745 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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