UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

MAN ↔ ISTANBUL SABIHA GOKCEN

In the twelve months from July 2025 to June 2026, 30.2% of 686 movements arriving into MAN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 69.8% of 686 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 686 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, 30.2% of 686 movements were disrupted and 0.1% of 686 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
30.2% of 686 movements0.1% of 686 movements22.3–48.0 min; N of delayed flights=206–413686
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 686 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 min30.0%30 min13.1%60 min3.8%120 min1.0%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min30.0% of 686 movements2063.3
>30 min13.1% of 686 movements907.6
>60 min3.8% of 686 movements2626.4
>120 min1.0% of 686 movements798.0
>180 min0.1% of 686 movements1686.0
>360 minno events in 686 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 early649.3%15–1 early20830.3%0–15 late20730.2%16–3011616.9%31–60649.3%61…120192.8%121…18060.9%181…36010.1%>36000.0%D=686
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0056; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Mar 2025, 1.9% of 52 movements. Worst month: Dec 2023, 56.6% of 53 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: suppressed: fewer than twenty movements×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: 4.0%; sample: 25Aug 2019: 19.4%; sample: 31Sep 2019: 15.4%; sample: 39Oct 2019: 5.4%; sample: 37Nov 2019: 0.0%; sample: 30Dec 2019: 12.5%; sample: 40Jan 2020: 20.0%; sample: 352020Feb 2020: 72.4%; sample: 29Mar 2020: 45.0%; sample: 20Apr 2020: no data×May 2020: suppressed: fewer than twenty movements×Jun 2020: no data×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: 3.2%; sample: 31Sep 2020: 0.0%; sample: 30Oct 2020: 12.5%; sample: 32Nov 2020: 14.3%; sample: 28Dec 2020: 14.3%; sample: 21Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: 30.8%; sample: 26May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: suppressed: fewer than twenty movements×Oct 2021: 22.7%; sample: 22Nov 2021: 33.3%; sample: 30Dec 2021: 25.8%; sample: 31Jan 2022: 35.5%; sample: 312022Feb 2022: 51.7%; sample: 29Mar 2022: 19.2%; sample: 26Apr 2022: 30.0%; sample: 30May 2022: 16.1%; sample: 31Jun 2022: 26.7%; sample: 30Jul 2022: 41.2%; sample: 34Aug 2022: 29.0%; sample: 31Sep 2022: 66.7%; sample: 30Oct 2022: 69.2%; sample: 39Nov 2022: 23.3%; sample: 30Dec 2022: 55.0%; sample: 40Jan 2023: 58.8%; sample: 342023Feb 2023: 40.0%; sample: 35Mar 2023: 45.2%; sample: 31Apr 2023: 17.6%; sample: 34May 2023: 10.5%; sample: 38Jun 2023: 37.7%; sample: 61Jul 2023: 55.6%; sample: 45Aug 2023: 66.7%; sample: 45Sep 2023: 47.5%; sample: 40Oct 2023: 61.7%; sample: 47Nov 2023: 71.9%; sample: 32Dec 2023: 56.6%; sample: 53Jan 2024: 50.0%; sample: 582024Feb 2024: 35.2%; sample: 54Mar 2024: 3.3%; sample: 60Apr 2024: 25.5%; sample: 55May 2024: 6.9%; sample: 58Jun 2024: 45.6%; sample: 57Jul 2024: 44.8%; sample: 58Aug 2024: 16.1%; sample: 62Sep 2024: 16.1%; sample: 56Oct 2024: 25.9%; sample: 58Nov 2024: 20.0%; sample: 55Dec 2024: 18.6%; sample: 59Jan 2025: 41.8%; sample: 552025Feb 2025: 38.5%; sample: 52Mar 2025: 1.9%; sample: 52Apr 2025: 25.0%; sample: 60May 2025: 46.8%; sample: 62Jun 2025: 26.3%; sample: 57Jul 2025: 27.4%; sample: 62Aug 2025: 30.8%; sample: 65Sep 2025: 40.0%; sample: 60Oct 2025: 36.7%; sample: 60Nov 2025: 21.3%; sample: 61Dec 2025: 36.5%; sample: 63Jan 2026: 50.0%; sample: 622026Feb 2026: 35.7%; sample: 56Mar 2026: 15.8%; sample: 57Apr 2026: 16.7%; sample: 54May 2026: 32.5%; sample: 40Jun 2026: 13.0%; sample: 46Pandemic 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 2018suppressed: fewer than twenty movements
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 20194.0% of 25 movements — small sample, not ranked
Aug 201919.4% of 31 movements — small sample, not ranked
Sep 201915.4% of 39 movements — small sample, not ranked
Oct 20195.4% of 37 movements — small sample, not ranked
Nov 2019no events in 30 movements — small sample, not ranked
Dec 201912.5% of 40 movements — small sample, not ranked
Jan 202020.0% of 35 movements — small sample, not ranked
Feb 202072.4% of 29 movements — small sample, not ranked
Mar 202045.0% of 20 movements — small sample, not ranked
Apr 2020no data
May 2020suppressed: fewer than twenty movements
Jun 2020no data
Jul 2020suppressed: fewer than twenty movements
Aug 20203.2% of 31 movements — small sample, not ranked
Sep 2020no events in 30 movements — small sample, not ranked
Oct 202012.5% of 32 movements — small sample, not ranked
Nov 202014.3% of 28 movements — small sample, not ranked
Dec 202014.3% of 21 movements — small sample, not ranked
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 202130.8% of 26 movements — small sample, not ranked
May 2021suppressed: fewer than twenty movements
Jun 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 2021suppressed: fewer than twenty movements
Oct 202122.7% of 22 movements — small sample, not ranked
Nov 202133.3% of 30 movements — small sample, not ranked
Dec 202125.8% of 31 movements — small sample, not ranked
Jan 202235.5% of 31 movements — small sample, not ranked
Feb 202251.7% of 29 movements — small sample, not ranked
Mar 202219.2% of 26 movements — small sample, not ranked
Apr 202230.0% of 30 movements — small sample, not ranked
May 202216.1% of 31 movements — small sample, not ranked
Jun 202226.7% of 30 movements — small sample, not ranked
Jul 202241.2% of 34 movements — small sample, not ranked
Aug 202229.0% of 31 movements — small sample, not ranked
Sep 202266.7% of 30 movements — small sample, not ranked
Oct 202269.2% of 39 movements — small sample, not ranked
Nov 202223.3% of 30 movements — small sample, not ranked
Dec 202255.0% of 40 movements — small sample, not ranked
Jan 202358.8% of 34 movements — small sample, not ranked
Feb 202340.0% of 35 movements — small sample, not ranked
Mar 202345.2% of 31 movements — small sample, not ranked
Apr 202317.6% of 34 movements — small sample, not ranked
May 202310.5% of 38 movements — small sample, not ranked
Jun 202337.7% of 61 movements
Jul 202355.6% of 45 movements — small sample, not ranked
Aug 202366.7% of 45 movements — small sample, not ranked
Sep 202347.5% of 40 movements — small sample, not ranked
Oct 202361.7% of 47 movements — small sample, not ranked
Nov 202371.9% of 32 movements — small sample, not ranked
Dec 202356.6% of 53 movements
Jan 202450.0% of 58 movements
Feb 202435.2% of 54 movements
Mar 20243.3% of 60 movements
Apr 202425.5% of 55 movements
May 20246.9% of 58 movements
Jun 202445.6% of 57 movements
Jul 202444.8% of 58 movements
Aug 202416.1% of 62 movements
Sep 202416.1% of 56 movements
Oct 202425.9% of 58 movements
Nov 202420.0% of 55 movements
Dec 202418.6% of 59 movements
Jan 202541.8% of 55 movements
Feb 202538.5% of 52 movements
Mar 20251.9% of 52 movements
Apr 202525.0% of 60 movements
May 202546.8% of 62 movements
Jun 202526.3% of 57 movements
Jul 202527.4% of 62 movements
Aug 202530.8% of 65 movements
Sep 202540.0% of 60 movements
Oct 202536.7% of 60 movements
Nov 202521.3% of 61 movements
Dec 202536.5% of 63 movements
Jan 202650.0% of 62 movements
Feb 202635.7% of 56 movements
Mar 202615.8% of 57 movements
Apr 202616.7% of 54 movements
May 202632.5% of 40 movements — small sample, not ranked
Jun 202613.0% of 46 movements — small sample, not ranked

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 2022Arrivals41.2% of 34 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures100.0% of 34 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals66.7% of 45 movements — small sample, not ranked42.4% across 448 flightsreturned after 6 months
NATS system failure · Aug 2023Departures84.4% of 45 movements — small sample, not ranked74.1% across 446 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals1.9% of 52 movements25.3% across 685 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures9.6% of 52 movements36.3% across 679 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?

January has historically been the hardest month on this route: in a typical January, 50.0% of arrivals were disrupted, measured across 5 Januarys in the archive. March has been the calmest, at 15.8% across 5 Marchs.

Even January has ranged from 35.5% to 58.8% 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 nJanFebMarAprMayJunJulAugSepOctNovDec2019no datano datano datano datano datano data4.0% of 25 movements †19.4% of 31 movements †15.4% of 39 movements †5.4% of 37 movements †no events in 30 movements †12.5% of 40 movements †202020.0% of 35 movements †72.4% of 29 movements †45.0% of 20 movements †no datasuppressed: fewer than twenty movementsno datasuppressed: fewer than twenty movements3.2% of 31 movements †no events in 30 movements †12.5% of 32 movements †14.3% of 28 movements †14.3% of 21 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements30.8% of 26 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements22.7% of 22 movements †33.3% of 30 movements †25.8% of 31 movements †202235.5% of 31 movements †51.7% of 29 movements †19.2% of 26 movements †30.0% of 30 movements †16.1% of 31 movements †26.7% of 30 movements †41.2% of 34 movements †29.0% of 31 movements †66.7% of 30 movements †69.2% of 39 movements †23.3% of 30 movements †55.0% of 40 movements †202358.8% of 34 movements †40.0% of 35 movements †45.2% of 31 movements †17.6% of 34 movements †10.5% of 38 movements †37.7% of 61 movements55.6% of 45 movements †66.7% of 45 movements †47.5% of 40 movements †61.7% of 47 movements †71.9% of 32 movements †56.6% of 53 movements202450.0% of 58 movements35.2% of 54 movements3.3% of 60 movements25.5% of 55 movements6.9% of 58 movements45.6% of 57 movements44.8% of 58 movements16.1% of 62 movements16.1% of 56 movements25.9% of 58 movements20.0% of 55 movements18.6% of 59 movements202541.8% of 55 movements38.5% of 52 movements1.9% of 52 movements25.0% of 60 movements46.8% of 62 movements26.3% of 57 movements27.4% of 62 movements30.8% of 65 movements40.0% of 60 movements36.7% of 60 movements21.3% of 61 movements36.5% of 63 movements202650.0% of 62 movements35.7% of 56 movements15.8% of 57 movements16.7% of 54 movements32.5% of 40 movements †13.0% of 46 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan50.0%35.5–58.8%5 months, 240 flights
Feb38.5%35.2–51.7%5 months, 226 flights
Mar15.8%1.9–45.2%5 months, 226 flights
Apr25.0%16.7–30.0%5 months, 233 flights
May16.1%6.9–46.8%5 months, 229 flights
Jun26.7%13.0–45.6%5 months, 251 flights
Jul41.2%4.0–55.6%5 months, 224 flights
Aug29.0%16.1–66.7%5 months, 234 flights
Sep40.0%15.4–66.7%5 months, 225 flights
Oct36.7%5.4–69.2%5 months, 241 flights
Nov21.3%0.0–71.9%5 months, 208 flights
Dec36.5%12.5–56.6%5 months, 255 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?

Only one carrier published enough flights here to report: Pegasus Airlines, 30.2% of 686 movements disrupted.

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 optionPegasus Airlines30.2% of 686 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Pegasus Airlines68630.2% of 686 movements0.1% of 686 movements0.1% of 686 movementsdescriptive comparison
Thy Turkish Airlinessuppressed: 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, BRS had the lowest disruption share at 13.6% of 140 movements and LHR the highest at 42.4% of 66 movements. This route sits at 30.2% of 686 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 ↔ Istanbul-Sabiha-Gokcen34.1% of 308 flightsBrs ↔ Istanbul-Sabiha-Gokcen13.6% of 140 flightsEdi ↔ Istanbul-Sabiha-Gokcen33.1% of 329 flightsLhr ↔ Istanbul-Sabiha-Gokcen42.4% of 66 flightsStn ↔ Istanbul-Sabiha-Gokcen25.0% of 2,788 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Istanbul-Sabiha-Gokcensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Istanbul-Sabiha-Gokcensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Istanbul-Sabiha-Gokcen30834.1% of 308 movementsno events in 308 movements0.3% of 308 movementsdescriptive comparison
Brs ↔ Istanbul-Sabiha-Gokcen14013.6% of 140 movements2.9% of 140 movementsno events in 140 movementsdescriptive comparison
Edi ↔ Istanbul-Sabiha-Gokcen32933.1% of 329 movementsno events in 329 movements0.3% of 329 movementsdescriptive comparison
Ema ↔ Istanbul-Sabiha-Gokcensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Istanbul-Sabiha-Gokcensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Istanbul-Sabiha-Gokcensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Istanbul-Sabiha-Gokcen6642.4% of 66 movements1.5% of 66 movements1.5% of 66 movementsdescriptive comparison
Stn ↔ Istanbul-Sabiha-Gokcen2,78825.0% of 2,788 movements0.5% of 2,788 movements0.1% of 2,788 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into MAN ran 30.2% of 686 movements disrupted, departures 43.8% of 689 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 MAN30.2% of 686 movements0.1% of 686 movements0.1% of 686 movements
Departures from MAN43.8% of 689 movements0.4% of 689 movements0.7% of 689 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 20269 flights out of 3,2219 × £350 = £3,150
ArrivalsLast 72 months · Jul 2020–Jun 20269 flights out of 2,9339 × £350 = £3,150
DeparturesWhole archive · Jan 2018–Jun 202622 flights out of 3,23222 × £350 = £7,700
DeparturesLast 72 months · Jul 2020–Jun 202622 flights out of 2,94522 × £350 = £7,700
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 airportMANCHESTER · MAN
Final point / countryISTANBUL (SABIHA GOKCEN) / TURKEY
Final point codesSAW / LTFJ
Great-circle distance2,729 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.88
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthMay 2018–Jun 2026
Months with operations in the archive82

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: 686; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

30.2% of 686 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 686 movements in the same window.

How many delays crossed three hours?

0.1% of 686 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?

2,729 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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