UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ ISTANBUL

In the twelve months from July 2025 to June 2026, 23.1% of 3,277 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, 76.9% of 3,277 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 1,092 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, 23.1% of 3,277 movements were disrupted and 0.1% of 3,277 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
23.1% of 3,277 movements0.1% of 3,277 movements19.7–48.4 min; N of delayed flights=754–1,6833,277
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: 0.1% of 3,277 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 min23.0%30 min10.7%60 min2.5%120 min0.5%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min23.0% of 3,277 movements7544.3
>30 min10.7% of 3,277 movements3509.4
>60 min2.5% of 3,277 movements8240.0
>120 min0.5% of 3,277 movements18182.1
>180 min0.1% of 3,277 movements31,092.3
>360 min0.0% of 3,277 movements13,277.0
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 early51715.8%15–1 early1,07432.8%0–15 late92928.3%16–3040412.3%31–602688.2%61…120642.0%121…180150.5%181…36020.1%>36010.0%D=3,277
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0045; 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: Aug 2020, 0.8% of 124 movements. Worst month: Nov 2023, 60.1% 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: 47.2%; sample: 2142018Feb 2018: 20.9%; sample: 196Mar 2018: 31.2%; sample: 218Apr 2018: 27.7%; sample: 224May 2018: 17.4%; sample: 224Jun 2018: 16.1%; sample: 211Jul 2018: 32.9%; sample: 231Aug 2018: 27.4%; sample: 230Sep 2018: 43.3%; sample: 224Oct 2018: 30.2%; sample: 222Nov 2018: 18.6%; sample: 215Dec 2018: 34.1%; sample: 214Jan 2019: 18.5%; sample: 2162019Feb 2019: 25.4%; sample: 189Mar 2019: 36.2%; sample: 218Apr 2019: 31.5%; sample: 203May 2019: 27.5%; sample: 229Jun 2019: 35.7%; sample: 224Jul 2019: 31.9%; sample: 229Aug 2019: 40.0%; sample: 230Sep 2019: 44.6%; sample: 112Oct 2019: 36.6%; sample: 227Nov 2019: 12.8%; sample: 211Dec 2019: 17.6%; sample: 216Jan 2020: 11.6%; sample: 2162020Feb 2020: 57.3%; sample: 211Mar 2020: 16.8%; sample: 137Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: 0.0%; sample: 20Jul 2020: 4.1%; sample: 74Aug 2020: 0.8%; sample: 124Sep 2020: 6.2%; sample: 112Oct 2020: 3.2%; sample: 157Nov 2020: 4.3%; sample: 92Dec 2020: 12.6%; sample: 95Jan 2021: 14.5%; sample: 692021Feb 2021: 8.9%; sample: 56Mar 2021: 15.2%; sample: 66Apr 2021: 4.4%; sample: 90May 2021: 2.9%; sample: 35Jun 2021: 2.4%; sample: 42Jul 2021: 10.5%; sample: 76Aug 2021: 15.9%; sample: 82Sep 2021: 19.3%; sample: 83Oct 2021: 7.1%; sample: 155Nov 2021: 10.2%; sample: 167Dec 2021: 17.7%; sample: 192Jan 2022: 27.1%; sample: 1812022Feb 2022: 23.5%; sample: 153Mar 2022: 20.2%; sample: 188Apr 2022: 13.5%; sample: 245May 2022: 17.8%; sample: 253Jun 2022: 36.3%; sample: 237Jul 2022: 29.9%; sample: 254Aug 2022: 16.5%; sample: 236Sep 2022: 41.3%; sample: 254Oct 2022: 26.3%; sample: 262Nov 2022: 30.5%; sample: 220Dec 2022: 50.4%; sample: 246Jan 2023: 35.6%; sample: 2532023Feb 2023: 41.9%; sample: 222Mar 2023: 36.4%; sample: 253Apr 2023: 26.8%; sample: 280May 2023: 19.2%; sample: 286Jun 2023: 26.4%; sample: 273Jul 2023: 47.0%; sample: 287Aug 2023: 38.7%; sample: 292Sep 2023: 40.6%; sample: 283Oct 2023: 56.6%; sample: 279Nov 2023: 60.1%; sample: 278Dec 2023: 58.7%; sample: 286Jan 2024: 42.8%; sample: 2782024Feb 2024: 37.9%; sample: 269Mar 2024: 23.2%; sample: 289Apr 2024: 31.5%; sample: 276May 2024: 27.6%; sample: 279Jun 2024: 45.5%; sample: 275Jul 2024: 57.7%; sample: 281Aug 2024: 57.4%; sample: 284Sep 2024: 49.1%; sample: 279Oct 2024: 37.5%; sample: 272Nov 2024: 20.6%; sample: 253Dec 2024: 25.8%; sample: 271Jan 2025: 18.5%; sample: 2702025Feb 2025: 19.0%; sample: 242Mar 2025: 11.1%; sample: 253Apr 2025: 10.7%; sample: 270May 2025: 17.9%; sample: 279Jun 2025: 19.3%; sample: 275Jul 2025: 31.8%; sample: 277Aug 2025: 21.6%; sample: 282Sep 2025: 36.1%; sample: 269Oct 2025: 36.6%; sample: 279Nov 2025: 10.4%; sample: 278Dec 2025: 20.7%; sample: 290Jan 2026: 36.3%; sample: 2842026Feb 2026: 13.9%; sample: 252Mar 2026: 6.5%; sample: 275Apr 2026: 19.5%; sample: 272May 2026: 16.2%; sample: 265Jun 2026: 26.8%; sample: 254Pandemic 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 201847.2% of 214 movements
Feb 201820.9% of 196 movements
Mar 201831.2% of 218 movements
Apr 201827.7% of 224 movements
May 201817.4% of 224 movements
Jun 201816.1% of 211 movements
Jul 201832.9% of 231 movements
Aug 201827.4% of 230 movements
Sep 201843.3% of 224 movements
Oct 201830.2% of 222 movements
Nov 201818.6% of 215 movements
Dec 201834.1% of 214 movements
Jan 201918.5% of 216 movements
Feb 201925.4% of 189 movements
Mar 201936.2% of 218 movements
Apr 201931.5% of 203 movements
May 201927.5% of 229 movements
Jun 201935.7% of 224 movements
Jul 201931.9% of 229 movements
Aug 201940.0% of 230 movements
Sep 201944.6% of 112 movements
Oct 201936.6% of 227 movements
Nov 201912.8% of 211 movements
Dec 201917.6% of 216 movements
Jan 202011.6% of 216 movements
Feb 202057.3% of 211 movements
Mar 202016.8% of 137 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020no events in 20 movements — small sample, not ranked
Jul 20204.1% of 74 movements
Aug 20200.8% of 124 movements
Sep 20206.2% of 112 movements
Oct 20203.2% of 157 movements
Nov 20204.3% of 92 movements
Dec 202012.6% of 95 movements
Jan 202114.5% of 69 movements
Feb 20218.9% of 56 movements
Mar 202115.2% of 66 movements
Apr 20214.4% of 90 movements
May 20212.9% of 35 movements — small sample, not ranked
Jun 20212.4% of 42 movements — small sample, not ranked
Jul 202110.5% of 76 movements
Aug 202115.9% of 82 movements
Sep 202119.3% of 83 movements
Oct 20217.1% of 155 movements
Nov 202110.2% of 167 movements
Dec 202117.7% of 192 movements
Jan 202227.1% of 181 movements
Feb 202223.5% of 153 movements
Mar 202220.2% of 188 movements
Apr 202213.5% of 245 movements
May 202217.8% of 253 movements
Jun 202236.3% of 237 movements
Jul 202229.9% of 254 movements
Aug 202216.5% of 236 movements
Sep 202241.3% of 254 movements
Oct 202226.3% of 262 movements
Nov 202230.5% of 220 movements
Dec 202250.4% of 246 movements
Jan 202335.6% of 253 movements
Feb 202341.9% of 222 movements
Mar 202336.4% of 253 movements
Apr 202326.8% of 280 movements
May 202319.2% of 286 movements
Jun 202326.4% of 273 movements
Jul 202347.0% of 287 movements
Aug 202338.7% of 292 movements
Sep 202340.6% of 283 movements
Oct 202356.6% of 279 movements
Nov 202360.1% of 278 movements
Dec 202358.7% of 286 movements
Jan 202442.8% of 278 movements
Feb 202437.9% of 269 movements
Mar 202423.2% of 289 movements
Apr 202431.5% of 276 movements
May 202427.6% of 279 movements
Jun 202445.5% of 275 movements
Jul 202457.7% of 281 movements
Aug 202457.4% of 284 movements
Sep 202449.1% of 279 movements
Oct 202437.5% of 272 movements
Nov 202420.6% of 253 movements
Dec 202425.8% of 271 movements
Jan 202518.5% of 270 movements
Feb 202519.0% of 242 movements
Mar 202511.1% of 253 movements
Apr 202510.7% of 270 movements
May 202517.9% of 279 movements
Jun 202519.3% of 275 movements
Jul 202531.8% of 277 movements
Aug 202521.6% of 282 movements
Sep 202536.1% of 269 movements
Oct 202536.6% of 279 movements
Nov 202510.4% of 278 movements
Dec 202520.7% of 290 movements
Jan 202636.3% of 284 movements
Feb 202613.9% of 252 movements
Mar 20266.5% of 275 movements
Apr 202619.5% of 272 movements
May 202616.2% of 265 movements
Jun 202626.8% of 254 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 events in 20 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures36.4% of 22 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals29.9% of 254 movements18.2% across 2,012 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures70.7% of 249 movements32.9% across 2,018 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals38.7% of 292 movements33.2% across 3,072 flightsreturned after 7 months
NATS system failure · Aug 2023Departures43.9% of 287 movements43.2% across 3,073 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals11.1% of 253 movements34.4% across 3,271 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.1% of 254 movements34.5% across 3,270 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, 42.3% of arrivals were disrupted, measured across 6 Septembers in the archive. May has been the calmest, at 17.9% across 7 Mays.

Even September has ranged from 36.1% to 49.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201918.5% of 216 movements25.4% of 189 movements36.2% of 218 movements31.5% of 203 movements27.5% of 229 movements35.7% of 224 movements31.9% of 229 movements40.0% of 230 movements44.6% of 112 movements36.6% of 227 movements12.8% of 211 movements17.6% of 216 movements202011.6% of 216 movements57.3% of 211 movements16.8% of 137 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 20 movements †4.1% of 74 movements0.8% of 124 movements6.2% of 112 movements3.2% of 157 movements4.3% of 92 movements12.6% of 95 movements202114.5% of 69 movements8.9% of 56 movements15.2% of 66 movements4.4% of 90 movements2.9% of 35 movements †2.4% of 42 movements †10.5% of 76 movements15.9% of 82 movements19.3% of 83 movements7.1% of 155 movements10.2% of 167 movements17.7% of 192 movements202227.1% of 181 movements23.5% of 153 movements20.2% of 188 movements13.5% of 245 movements17.8% of 253 movements36.3% of 237 movements29.9% of 254 movements16.5% of 236 movements41.3% of 254 movements26.3% of 262 movements30.5% of 220 movements50.4% of 246 movements202335.6% of 253 movements41.9% of 222 movements36.4% of 253 movements26.8% of 280 movements19.2% of 286 movements26.4% of 273 movements47.0% of 287 movements38.7% of 292 movements40.6% of 283 movements56.6% of 279 movements60.1% of 278 movements58.7% of 286 movements202442.8% of 278 movements37.9% of 269 movements23.2% of 289 movements31.5% of 276 movements27.6% of 279 movements45.5% of 275 movements57.7% of 281 movements57.4% of 284 movements49.1% of 279 movements37.5% of 272 movements20.6% of 253 movements25.8% of 271 movements202518.5% of 270 movements19.0% of 242 movements11.1% of 253 movements10.7% of 270 movements17.9% of 279 movements19.3% of 275 movements31.8% of 277 movements21.6% of 282 movements36.1% of 269 movements36.6% of 279 movements10.4% of 278 movements20.7% of 290 movements202636.3% of 284 movements13.9% of 252 movements6.5% of 275 movements19.5% of 272 movements16.2% of 265 movements26.8% of 254 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan35.6%18.5–47.2%7 months, 1,696 flights
Feb23.5%13.9–41.9%7 months, 1,523 flights
Mar23.2%6.5–36.4%7 months, 1,694 flights
Apr26.8%10.7–31.5%7 months, 1,770 flights
May17.9%16.2–27.6%7 months, 1,815 flights
Jun26.8%16.1–45.5%7 months, 1,749 flights
Jul32.4%29.9–57.7%6 months, 1,559 flights
Aug33.0%16.5–57.4%6 months, 1,554 flights
Sep42.3%36.1–49.1%6 months, 1,421 flights
Oct36.6%26.3–56.6%6 months, 1,541 flights
Nov19.6%10.4–60.1%6 months, 1,455 flights
Dec30.0%17.6–58.7%6 months, 1,523 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 17.0% of 1,010 movements, Thy Turkish Airlines 25.8% of 2,265 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 Airways17.0% of 1,010 flightsThy Turkish Airlines25.8% of 2,265 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ba Euroflyer British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways1,01017.0% of 1,010 movements0.1% of 1,010 movementsno events in 1,010 movementsdescriptive comparison
Pegasus Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Thy Turkish Airlines2,26525.8% of 2,265 movements0.0% of 2,265 movements0.1% of 2,265 movementsdescriptive comparison
Virgin Atlantic Internationalsuppressed: 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, STN had the lowest disruption share at 9.5% of 201 movements and BRS the highest at 65.8% of 76 movements. This route sits at 23.1% of 3,277 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 ↔ Istanbul23.1% of 775 flightsBrs ↔ Istanbul65.8% of 76 flightsEdi ↔ Istanbul20.3% of 601 flightsLgw ↔ Istanbul22.8% of 1,635 flightsLtn ↔ Istanbul16.6% of 373 flightsMan ↔ Istanbul28.4% of 1,467 flightsStn ↔ Istanbul9.5% of 201 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Istanbul77523.1% of 775 movements0.1% of 775 movements0.1% of 775 movementsdescriptive comparison
Brs ↔ Istanbul7665.8% of 76 movementsno events in 76 movementsno events in 76 movementsdescriptive comparison
Cwl ↔ Istanbulsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Istanbul60120.3% of 601 movements0.7% of 601 movements0.3% of 601 movementsdescriptive comparison
Ema ↔ Istanbulsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Istanbulsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Istanbul1,63522.8% of 1,635 movements0.1% of 1,635 movements0.4% of 1,635 movementsdescriptive comparison
Lpl ↔ Istanbulsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Istanbul37316.6% of 373 movements0.8% of 373 movementsno events in 373 movementsdescriptive comparison
Man ↔ Istanbul1,46728.4% of 1,467 movements0.7% of 1,467 movements0.1% of 1,467 movementsdescriptive comparison
Ncl ↔ Istanbulsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Istanbul2019.5% of 201 movementsno events in 201 movementsno events in 201 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 23.1% of 3,277 movements disrupted, departures 20.8% of 3,278 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 LHR23.1% of 3,277 movements0.1% of 3,277 movements0.1% of 3,277 movements
Departures from LHR20.8% of 3,278 movements0.3% of 3,278 movements0.2% of 3,278 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 202663 flights out of 21,65263 × £350 = £22,050
ArrivalsLast 72 months · Jul 2020–Jun 202657 flights out of 15,94057 × £350 = £19,950
DeparturesWhole archive · Jan 2018–Jun 202664 flights out of 21,68264 × £350 = £22,400
DeparturesLast 72 months · Jul 2020–Jun 202655 flights out of 15,97455 × £350 = £19,250
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 / countryISTANBUL / TURKEY
Final point codesIST / LTFM
Great-circle distance2,487 km
Maximum statutory amount for the band£350
Average operated arrivals per day8.97
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 archive101

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: 3,277; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

23.1% of 3,277 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.1% of 3,277 movements in the same window.

How many delays crossed three hours?

0.1% of 3,277 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?

2,487 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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