UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ STOCKHOLM ARLANDA

In the twelve months from July 2025 to June 2026, 16.8% of 2,909 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, 83.2% of 2,909 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 1,454 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, 16.8% of 2,909 movements were disrupted and 0.8% of 2,909 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
16.8% of 2,909 movements0.8% of 2,909 movements18.1–53.4 min; N of delayed flights=467–1,2212,909
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: 0.8% of 2,909 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 min16.1%30 min6.9%60 min2.2%120 min0.4%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min16.1% of 2,909 movements4676.2
>30 min6.9% of 2,909 movements20214.4
>60 min2.2% of 2,909 movements6544.8
>120 min0.4% of 2,909 movements12242.4
>180 min0.1% of 2,909 movements21,454.5
>360 min0.0% of 2,909 movements12,909.0
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 early47616.4%15–1 early1,19040.9%0–15 late75425.9%16–302659.1%31–601374.7%61…120531.8%121…180100.3%181…36010.0%>36010.0%D=2,909
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0050; 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: Jul 2020, 1.6% of 63 movements. Worst month: Dec 2023, 52.5% of 278 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: 33.3%; sample: 3212018Feb 2018: 19.9%; sample: 291Mar 2018: 30.7%; sample: 323Apr 2018: 34.3%; sample: 332May 2018: 21.9%; sample: 347Jun 2018: 26.3%; sample: 323Jul 2018: 29.8%; sample: 289Aug 2018: 30.4%; sample: 322Sep 2018: 33.2%; sample: 319Oct 2018: 36.2%; sample: 345Nov 2018: 30.7%; sample: 309Dec 2018: 43.8%; sample: 288Jan 2019: 16.5%; sample: 2792019Feb 2019: 32.5%; sample: 268Mar 2019: 34.3%; sample: 312Apr 2019: 20.6%; sample: 325May 2019: 15.2%; sample: 343Jun 2019: 36.4%; sample: 319Jul 2019: 29.9%; sample: 308Aug 2019: 31.3%; sample: 319Sep 2019: 31.2%; sample: 314Oct 2019: 37.1%; sample: 326Nov 2019: 18.2%; sample: 296Dec 2019: 32.4%; sample: 275Jan 2020: 25.0%; sample: 2802020Feb 2020: 48.5%; sample: 270Mar 2020: 15.4%; sample: 195Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: 3.0%; sample: 33Jul 2020: 1.6%; sample: 63Aug 2020: 4.5%; sample: 66Sep 2020: 5.4%; sample: 74Oct 2020: 1.8%; sample: 109Nov 2020: 3.2%; sample: 62Dec 2020: 13.9%; sample: 79Jan 2021: 28.9%; sample: 452021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: 4.8%; sample: 21Apr 2021: 26.9%; sample: 26May 2021: 5.6%; sample: 36Jun 2021: 9.3%; sample: 43Jul 2021: 7.8%; sample: 64Aug 2021: 13.6%; sample: 59Sep 2021: 5.0%; sample: 101Oct 2021: 13.4%; sample: 119Nov 2021: 8.9%; sample: 146Dec 2021: 26.8%; sample: 142Jan 2022: 13.8%; sample: 1382022Feb 2022: 18.3%; sample: 126Mar 2022: 10.8%; sample: 194Apr 2022: 21.6%; sample: 264May 2022: 26.4%; sample: 292Jun 2022: 44.8%; sample: 230Jul 2022: 24.8%; sample: 210Aug 2022: 17.9%; sample: 218Sep 2022: 22.8%; sample: 206Oct 2022: 22.1%; sample: 222Nov 2022: 22.4%; sample: 272Dec 2022: 45.9%; sample: 257Jan 2023: 29.1%; sample: 2612023Feb 2023: 17.5%; sample: 229Mar 2023: 32.2%; sample: 270Apr 2023: 13.4%; sample: 253May 2023: 14.8%; sample: 270Jun 2023: 34.2%; sample: 243Jul 2023: 24.5%; sample: 265Aug 2023: 30.8%; sample: 253Sep 2023: 45.2%; sample: 250Oct 2023: 33.9%; sample: 271Nov 2023: 29.4%; sample: 279Dec 2023: 52.5%; sample: 278Jan 2024: 24.0%; sample: 2672024Feb 2024: 26.4%; sample: 277Mar 2024: 23.3%; sample: 288Apr 2024: 33.8%; sample: 231May 2024: 30.9%; sample: 246Jun 2024: 34.6%; sample: 231Jul 2024: 35.4%; sample: 254Aug 2024: 38.1%; sample: 252Sep 2024: 43.0%; sample: 242Oct 2024: 34.0%; sample: 256Nov 2024: 19.0%; sample: 253Dec 2024: 33.7%; sample: 255Jan 2025: 19.8%; sample: 2322025Feb 2025: 7.0%; sample: 230Mar 2025: 9.4%; sample: 254Apr 2025: 9.2%; sample: 239May 2025: 7.5%; sample: 240Jun 2025: 17.7%; sample: 226Jul 2025: 15.6%; sample: 237Aug 2025: 13.5%; sample: 230Sep 2025: 36.4%; sample: 231Oct 2025: 17.5%; sample: 251Nov 2025: 11.5%; sample: 252Dec 2025: 20.0%; sample: 265Jan 2026: 25.6%; sample: 2422026Feb 2026: 8.4%; sample: 226Mar 2026: 8.6%; sample: 256Apr 2026: 11.3%; sample: 247May 2026: 13.3%; sample: 240Jun 2026: 20.7%; sample: 232Pandemic 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 201833.3% of 321 movements
Feb 201819.9% of 291 movements
Mar 201830.7% of 323 movements
Apr 201834.3% of 332 movements
May 201821.9% of 347 movements
Jun 201826.3% of 323 movements
Jul 201829.8% of 289 movements
Aug 201830.4% of 322 movements
Sep 201833.2% of 319 movements
Oct 201836.2% of 345 movements
Nov 201830.7% of 309 movements
Dec 201843.8% of 288 movements
Jan 201916.5% of 279 movements
Feb 201932.5% of 268 movements
Mar 201934.3% of 312 movements
Apr 201920.6% of 325 movements
May 201915.2% of 343 movements
Jun 201936.4% of 319 movements
Jul 201929.9% of 308 movements
Aug 201931.3% of 319 movements
Sep 201931.2% of 314 movements
Oct 201937.1% of 326 movements
Nov 201918.2% of 296 movements
Dec 201932.4% of 275 movements
Jan 202025.0% of 280 movements
Feb 202048.5% of 270 movements
Mar 202015.4% of 195 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 20203.0% of 33 movements — small sample, not ranked
Jul 20201.6% of 63 movements
Aug 20204.5% of 66 movements
Sep 20205.4% of 74 movements
Oct 20201.8% of 109 movements
Nov 20203.2% of 62 movements
Dec 202013.9% of 79 movements
Jan 202128.9% of 45 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 20214.8% of 21 movements — small sample, not ranked
Apr 202126.9% of 26 movements — small sample, not ranked
May 20215.6% of 36 movements — small sample, not ranked
Jun 20219.3% of 43 movements — small sample, not ranked
Jul 20217.8% of 64 movements
Aug 202113.6% of 59 movements
Sep 20215.0% of 101 movements
Oct 202113.4% of 119 movements
Nov 20218.9% of 146 movements
Dec 202126.8% of 142 movements
Jan 202213.8% of 138 movements
Feb 202218.3% of 126 movements
Mar 202210.8% of 194 movements
Apr 202221.6% of 264 movements
May 202226.4% of 292 movements
Jun 202244.8% of 230 movements
Jul 202224.8% of 210 movements
Aug 202217.9% of 218 movements
Sep 202222.8% of 206 movements
Oct 202222.1% of 222 movements
Nov 202222.4% of 272 movements
Dec 202245.9% of 257 movements
Jan 202329.1% of 261 movements
Feb 202317.5% of 229 movements
Mar 202332.2% of 270 movements
Apr 202313.4% of 253 movements
May 202314.8% of 270 movements
Jun 202334.2% of 243 movements
Jul 202324.5% of 265 movements
Aug 202330.8% of 253 movements
Sep 202345.2% of 250 movements
Oct 202333.9% of 271 movements
Nov 202329.4% of 279 movements
Dec 202352.5% of 278 movements
Jan 202424.0% of 267 movements
Feb 202426.4% of 277 movements
Mar 202423.3% of 288 movements
Apr 202433.8% of 231 movements
May 202430.9% of 246 movements
Jun 202434.6% of 231 movements
Jul 202435.4% of 254 movements
Aug 202438.1% of 252 movements
Sep 202443.0% of 242 movements
Oct 202434.0% of 256 movements
Nov 202419.0% of 253 movements
Dec 202433.7% of 255 movements
Jan 202519.8% of 232 movements
Feb 20257.0% of 230 movements
Mar 20259.4% of 254 movements
Apr 20259.2% of 239 movements
May 20257.5% of 240 movements
Jun 202517.7% of 226 movements
Jul 202515.6% of 237 movements
Aug 202513.5% of 230 movements
Sep 202536.4% of 231 movements
Oct 202517.5% of 251 movements
Nov 202511.5% of 252 movements
Dec 202520.0% of 265 movements
Jan 202625.6% of 242 movements
Feb 20268.4% of 226 movements
Mar 20268.6% of 256 movements
Apr 202611.3% of 247 movements
May 202613.3% of 240 movements
Jun 202620.7% of 232 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 2020Arrivals3.0% of 33 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures9.1% of 33 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals24.8% of 210 movements17.6% across 1,875 flightsreturned after 7 months
Summer 2022 breakdown · Jul 2022Departures41.2% of 211 movements22.6% across 1,859 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals30.8% of 253 movements24.7% across 2,966 flightsreturned after 5 months
NATS system failure · Aug 2023Departures31.0% of 252 movements31.3% across 2,963 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals9.4% of 254 movements29.4% across 2,970 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.2% of 258 movements23.5% across 2,974 flightsreturned the next month
Definitions, denominators and limits

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

Which time of year has historically been hardest?

December has historically been the hardest month on this route: in a typical December, 38.7% of arrivals were disrupted, measured across 6 Decembers in the archive. May has been the calmest, at 15.2% across 7 Mays.

Even December has ranged from 20.0% to 52.5% in different years, so this is a record of what happened, not a forecast of what will. Lower is better throughout.

Each cell is one calendar month of one year; the number is the share of that month’s arrivals that were disrupted. Darker means worse. A blank cell means no published data, not zero.

Seasonality: calendar month by year; share and nJanFebMarAprMayJunJulAugSepOctNovDec201916.5% of 279 movements32.5% of 268 movements34.3% of 312 movements20.6% of 325 movements15.2% of 343 movements36.4% of 319 movements29.9% of 308 movements31.3% of 319 movements31.2% of 314 movements37.1% of 326 movements18.2% of 296 movements32.4% of 275 movements202025.0% of 280 movements48.5% of 270 movements15.4% of 195 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.0% of 33 movements †1.6% of 63 movements4.5% of 66 movements5.4% of 74 movements1.8% of 109 movements3.2% of 62 movements13.9% of 79 movements202128.9% of 45 movements †suppressed: fewer than twenty movements4.8% of 21 movements †26.9% of 26 movements †5.6% of 36 movements †9.3% of 43 movements †7.8% of 64 movements13.6% of 59 movements5.0% of 101 movements13.4% of 119 movements8.9% of 146 movements26.8% of 142 movements202213.8% of 138 movements18.3% of 126 movements10.8% of 194 movements21.6% of 264 movements26.4% of 292 movements44.8% of 230 movements24.8% of 210 movements17.9% of 218 movements22.8% of 206 movements22.1% of 222 movements22.4% of 272 movements45.9% of 257 movements202329.1% of 261 movements17.5% of 229 movements32.2% of 270 movements13.4% of 253 movements14.8% of 270 movements34.2% of 243 movements24.5% of 265 movements30.8% of 253 movements45.2% of 250 movements33.9% of 271 movements29.4% of 279 movements52.5% of 278 movements202424.0% of 267 movements26.4% of 277 movements23.3% of 288 movements33.8% of 231 movements30.9% of 246 movements34.6% of 231 movements35.4% of 254 movements38.1% of 252 movements43.0% of 242 movements34.0% of 256 movements19.0% of 253 movements33.7% of 255 movements202519.8% of 232 movements7.0% of 230 movements9.4% of 254 movements9.2% of 239 movements7.5% of 240 movements17.7% of 226 movements15.6% of 237 movements13.5% of 230 movements36.4% of 231 movements17.5% of 251 movements11.5% of 252 movements20.0% of 265 movements202625.6% of 242 movements8.4% of 226 movements8.6% of 256 movements11.3% of 247 movements13.3% of 240 movements20.7% of 232 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan24.0%13.8–33.3%7 months, 1,740 flights
Feb18.3%7.0–32.5%7 months, 1,647 flights
Mar23.3%8.6–34.3%7 months, 1,897 flights
Apr20.6%9.2–34.3%7 months, 1,891 flights
May15.2%7.5–30.9%7 months, 1,978 flights
Jun34.2%17.7–44.8%7 months, 1,804 flights
Jul27.3%15.6–35.4%6 months, 1,563 flights
Aug30.6%13.5–38.1%6 months, 1,594 flights
Sep34.8%22.8–45.2%6 months, 1,562 flights
Oct34.0%17.5–37.1%6 months, 1,671 flights
Nov20.7%11.5–30.7%6 months, 1,661 flights
Dec38.7%20.0–52.5%6 months, 1,618 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: Scandinavian Airlines Ireland 15.5% of 291 movements, Sas 16.5% of 1,363 movements, British Airways 17.5% of 1,255 movements. The gap between them sits inside sampling noise.

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 Airways17.5% of 1,255 flightsSas16.5% of 1,363 flightsScandinavian Airlines Ireland15.5% of 291 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways1,25517.5% of 1,255 movements0.6% of 1,255 movements0.1% of 1,255 movementsdescriptive comparison
Sas1,36316.5% of 1,363 movements1.0% of 1,363 movements0.1% of 1,363 movementsdescriptive comparison
Scandinavian Airlines Ireland29115.5% of 291 movementsno events in 291 movementsno events in 291 movementsdescriptive comparison

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 15.0% of 921 movements and BHX the highest at 32.5% of 83 movements. This route sits at 16.8% of 2,909 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 ↔ Stockholm-Arlanda32.5% of 83 flightsEdi ↔ Stockholm-Arlanda15.2% of 355 flightsLgw ↔ Stockholm-Arlanda15.0% of 921 flightsMan ↔ Stockholm-Arlanda20.7% of 420 flightsStn ↔ Stockholm-Arlanda23.9% of 514 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Stockholm-Arlandasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Stockholm-Arlandasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Stockholm-Arlanda8332.5% of 83 movementsno events in 83 movementsno events in 83 movementsdescriptive comparison
Boh ↔ Stockholm-Arlandasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Stockholm-Arlandasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Stockholm-Arlanda35515.2% of 355 movements1.4% of 355 movementsno events in 355 movementsdescriptive comparison
Ema ↔ Stockholm-Arlandasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Stockholm-Arlandasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ Stockholm-Arlandasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Stockholm-Arlandasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Stockholm-Arlanda92115.0% of 921 movements0.5% of 921 movements0.2% of 921 movementsdescriptive comparison
Lpl ↔ Stockholm-Arlandasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Stockholm-Arlandasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Stockholm-Arlanda42020.7% of 420 movements1.9% of 420 movementsno events in 420 movementsdescriptive comparison
Ncl ↔ Stockholm-Arlandasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Stockholm-Arlanda51423.9% of 514 movements0.2% of 514 movements1.0% of 514 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 16.8% of 2,909 movements disrupted, departures 15.3% of 2,908 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 LHR16.8% of 2,909 movements0.8% of 2,909 movements0.1% of 2,909 movements
Departures from LHR15.3% of 2,908 movements0.7% of 2,908 movements0.1% of 2,908 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 22,70252 × £220 = £11,440
ArrivalsLast 72 months · Jul 2020–Jun 202631 flights out of 14,40731 × £220 = £6,820
DeparturesWhole archive · Jan 2018–Jun 202646 flights out of 22,67246 × £220 = £10,120
DeparturesLast 72 months · Jul 2020–Jun 202631 flights out of 14,38131 × £220 = £6,820
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 / countrySTOCKHOLM (ARLANDA) / SWEDEN
Final point codesARN / ESSA
Great-circle distance1,463 km
Maximum statutory amount for the band£220
Average operated arrivals per day7.91
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 archive102

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: 2,909; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

16.8% of 2,909 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.8% of 2,909 movements in the same window.

How many delays crossed three hours?

0.1% of 2,909 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?

1,463 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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