UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ ISTANBUL SABIHA GOKCEN

In the twelve months from July 2025 to June 2026, 25.0% of 2,788 movements arriving into STN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 75.0% of 2,788 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 1,394 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, 25.0% of 2,788 movements were disrupted and 0.5% of 2,788 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
25.0% of 2,788 movements0.5% of 2,788 movements20.5–50.8 min; N of delayed flights=685–1,5662,788
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: 0.5% of 2,788 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 min24.6%30 min11.8%60 min3.8%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 min24.6% of 2,788 movements6854.1
>30 min11.8% of 2,788 movements3288.5
>60 min3.8% of 2,788 movements10526.6
>120 min0.5% of 2,788 movements15185.9
>180 min0.1% of 2,788 movements21,394.0
>360 min0.0% of 2,788 movements12,788.0
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 early28910.4%15–1 early92033.0%0–15 late88131.6%16–3035712.8%31–602238.0%61…120903.2%121…180130.5%181…36010.0%>36010.0%D=2,788
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0034; 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, 2.1% of 190 movements. Worst month: Jul 2024, 68.1% of 135 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: 55.2%; sample: 962018Feb 2018: 21.4%; sample: 84Mar 2018: 21.5%; sample: 93Apr 2018: 12.1%; sample: 91May 2018: 2.2%; sample: 93Jun 2018: 12.4%; sample: 97Jul 2018: 28.2%; sample: 103Aug 2018: 28.6%; sample: 105Sep 2018: 32.4%; sample: 105Oct 2018: 16.5%; sample: 97Nov 2018: 13.0%; sample: 92Dec 2018: 35.4%; sample: 99Jan 2019: 28.4%; sample: 1022019Feb 2019: 31.2%; sample: 96Mar 2019: 35.4%; sample: 99Apr 2019: 8.1%; sample: 123May 2019: 9.0%; sample: 111Jun 2019: 15.8%; sample: 120Jul 2019: 37.3%; sample: 126Aug 2019: 27.3%; sample: 139Sep 2019: 17.0%; sample: 135Oct 2019: 20.0%; sample: 130Nov 2019: 8.4%; sample: 119Dec 2019: 14.9%; sample: 134Jan 2020: 25.2%; sample: 1432020Feb 2020: 62.8%; sample: 113Mar 2020: 25.0%; sample: 68Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: 3.0%; sample: 33Jul 2020: 4.9%; sample: 123Aug 2020: 3.7%; sample: 191Sep 2020: 2.1%; sample: 190Oct 2020: 15.4%; sample: 130Nov 2020: 8.5%; sample: 47Dec 2020: 16.9%; sample: 77Jan 2021: 29.4%; sample: 342021Feb 2021: 53.6%; sample: 28Mar 2021: 48.4%; sample: 31Apr 2021: 42.1%; sample: 38May 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: 31.0%; sample: 29Oct 2021: 22.6%; sample: 133Nov 2021: 29.9%; sample: 157Dec 2021: 25.1%; sample: 183Jan 2022: 38.5%; sample: 1952022Feb 2022: 41.6%; sample: 161Mar 2022: 22.6%; sample: 168Apr 2022: 11.3%; sample: 194May 2022: 18.1%; sample: 193Jun 2022: 16.9%; sample: 177Jul 2022: 17.4%; sample: 195Aug 2022: 13.3%; sample: 203Sep 2022: 28.0%; sample: 189Oct 2022: 41.1%; sample: 197Nov 2022: 19.2%; sample: 167Dec 2022: 51.4%; sample: 179Jan 2023: 40.3%; sample: 1762023Feb 2023: 45.1%; sample: 162Mar 2023: 28.5%; sample: 179Apr 2023: 27.1%; sample: 207May 2023: 14.1%; sample: 206Jun 2023: 28.9%; sample: 211Jul 2023: 50.0%; sample: 218Aug 2023: 55.1%; sample: 225Sep 2023: 25.9%; sample: 212Oct 2023: 47.2%; sample: 214Nov 2023: 61.7%; sample: 167Dec 2023: 48.2%; sample: 195Jan 2024: 40.8%; sample: 2012024Feb 2024: 24.9%; sample: 189Mar 2024: 4.6%; sample: 195Apr 2024: 25.5%; sample: 188May 2024: 18.0%; sample: 133Jun 2024: 51.2%; sample: 129Jul 2024: 68.1%; sample: 135Aug 2024: 35.7%; sample: 140Sep 2024: 22.7%; sample: 194Oct 2024: 18.1%; sample: 221Nov 2024: 13.6%; sample: 199Dec 2024: 9.6%; sample: 209Jan 2025: 22.9%; sample: 2142025Feb 2025: 20.1%; sample: 184Mar 2025: 5.7%; sample: 193Apr 2025: 22.1%; sample: 204May 2025: 35.7%; sample: 207Jun 2025: 20.8%; sample: 231Jul 2025: 34.6%; sample: 246Aug 2025: 23.1%; sample: 260Sep 2025: 35.6%; sample: 233Oct 2025: 33.3%; sample: 231Nov 2025: 18.0%; sample: 217Dec 2025: 23.0%; sample: 248Jan 2026: 47.6%; sample: 2292026Feb 2026: 19.1%; sample: 209Mar 2026: 21.8%; sample: 225Apr 2026: 18.5%; sample: 243May 2026: 13.7%; sample: 241Jun 2026: 10.2%; sample: 206Pandemic 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 201855.2% of 96 movements
Feb 201821.4% of 84 movements
Mar 201821.5% of 93 movements
Apr 201812.1% of 91 movements
May 20182.2% of 93 movements
Jun 201812.4% of 97 movements
Jul 201828.2% of 103 movements
Aug 201828.6% of 105 movements
Sep 201832.4% of 105 movements
Oct 201816.5% of 97 movements
Nov 201813.0% of 92 movements
Dec 201835.4% of 99 movements
Jan 201928.4% of 102 movements
Feb 201931.2% of 96 movements
Mar 201935.4% of 99 movements
Apr 20198.1% of 123 movements
May 20199.0% of 111 movements
Jun 201915.8% of 120 movements
Jul 201937.3% of 126 movements
Aug 201927.3% of 139 movements
Sep 201917.0% of 135 movements
Oct 201920.0% of 130 movements
Nov 20198.4% of 119 movements
Dec 201914.9% of 134 movements
Jan 202025.2% of 143 movements
Feb 202062.8% of 113 movements
Mar 202025.0% of 68 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 20203.0% of 33 movements — small sample, not ranked
Jul 20204.9% of 123 movements
Aug 20203.7% of 191 movements
Sep 20202.1% of 190 movements
Oct 202015.4% of 130 movements
Nov 20208.5% of 47 movements — small sample, not ranked
Dec 202016.9% of 77 movements
Jan 202129.4% of 34 movements — small sample, not ranked
Feb 202153.6% of 28 movements — small sample, not ranked
Mar 202148.4% of 31 movements — small sample, not ranked
Apr 202142.1% of 38 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 202131.0% of 29 movements — small sample, not ranked
Oct 202122.6% of 133 movements
Nov 202129.9% of 157 movements
Dec 202125.1% of 183 movements
Jan 202238.5% of 195 movements
Feb 202241.6% of 161 movements
Mar 202222.6% of 168 movements
Apr 202211.3% of 194 movements
May 202218.1% of 193 movements
Jun 202216.9% of 177 movements
Jul 202217.4% of 195 movements
Aug 202213.3% of 203 movements
Sep 202228.0% of 189 movements
Oct 202241.1% of 197 movements
Nov 202219.2% of 167 movements
Dec 202251.4% of 179 movements
Jan 202340.3% of 176 movements
Feb 202345.1% of 162 movements
Mar 202328.5% of 179 movements
Apr 202327.1% of 207 movements
May 202314.1% of 206 movements
Jun 202328.9% of 211 movements
Jul 202350.0% of 218 movements
Aug 202355.1% of 225 movements
Sep 202325.9% of 212 movements
Oct 202347.2% of 214 movements
Nov 202361.7% of 167 movements
Dec 202348.2% of 195 movements
Jan 202440.8% of 201 movements
Feb 202424.9% of 189 movements
Mar 20244.6% of 195 movements
Apr 202425.5% of 188 movements
May 202418.0% of 133 movements
Jun 202451.2% of 129 movements
Jul 202468.1% of 135 movements
Aug 202435.7% of 140 movements
Sep 202422.7% of 194 movements
Oct 202418.1% of 221 movements
Nov 202413.6% of 199 movements
Dec 20249.6% of 209 movements
Jan 202522.9% of 214 movements
Feb 202520.1% of 184 movements
Mar 20255.7% of 193 movements
Apr 202522.1% of 204 movements
May 202535.7% of 207 movements
Jun 202520.8% of 231 movements
Jul 202534.6% of 246 movements
Aug 202523.1% of 260 movements
Sep 202535.6% of 233 movements
Oct 202533.3% of 231 movements
Nov 202518.0% of 217 movements
Dec 202523.0% of 248 movements
Jan 202647.6% of 229 movements
Feb 202619.1% of 209 movements
Mar 202621.8% of 225 movements
Apr 202618.5% of 243 movements
May 202613.7% of 241 movements
Jun 202610.2% of 206 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 2020Departures15.2% of 33 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals17.4% of 195 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures54.1% of 196 movements27.8% across 1,737 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals55.1% of 225 movements32.2% across 2,294 flightsreturned the next month
NATS system failure · Aug 2023Departures70.2% of 225 movements35.9% across 2,296 flightsreturned after 5 months
Heathrow fire closure · Mar 2025Arrivals5.7% of 193 movements25.8% across 2,141 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.5% of 192 movements35.4% across 2,149 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, 40.3% of arrivals were disrupted, measured across 7 Januarys in the archive. May has been the calmest, at 14.1% across 7 Mays.

Even January has ranged from 22.9% to 55.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201928.4% of 102 movements31.2% of 96 movements35.4% of 99 movements8.1% of 123 movements9.0% of 111 movements15.8% of 120 movements37.3% of 126 movements27.3% of 139 movements17.0% of 135 movements20.0% of 130 movements8.4% of 119 movements14.9% of 134 movements202025.2% of 143 movements62.8% of 113 movements25.0% of 68 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.0% of 33 movements †4.9% of 123 movements3.7% of 191 movements2.1% of 190 movements15.4% of 130 movements8.5% of 47 movements †16.9% of 77 movements202129.4% of 34 movements †53.6% of 28 movements †48.4% of 31 movements †42.1% of 38 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements31.0% of 29 movements †22.6% of 133 movements29.9% of 157 movements25.1% of 183 movements202238.5% of 195 movements41.6% of 161 movements22.6% of 168 movements11.3% of 194 movements18.1% of 193 movements16.9% of 177 movements17.4% of 195 movements13.3% of 203 movements28.0% of 189 movements41.1% of 197 movements19.2% of 167 movements51.4% of 179 movements202340.3% of 176 movements45.1% of 162 movements28.5% of 179 movements27.1% of 207 movements14.1% of 206 movements28.9% of 211 movements50.0% of 218 movements55.1% of 225 movements25.9% of 212 movements47.2% of 214 movements61.7% of 167 movements48.2% of 195 movements202440.8% of 201 movements24.9% of 189 movements4.6% of 195 movements25.5% of 188 movements18.0% of 133 movements51.2% of 129 movements68.1% of 135 movements35.7% of 140 movements22.7% of 194 movements18.1% of 221 movements13.6% of 199 movements9.6% of 209 movements202522.9% of 214 movements20.1% of 184 movements5.7% of 193 movements22.1% of 204 movements35.7% of 207 movements20.8% of 231 movements34.6% of 246 movements23.1% of 260 movements35.6% of 233 movements33.3% of 231 movements18.0% of 217 movements23.0% of 248 movements202647.6% of 229 movements19.1% of 209 movements21.8% of 225 movements18.5% of 243 movements13.7% of 241 movements10.2% of 206 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan40.3%22.9–55.2%7 months, 1,213 flights
Feb24.9%19.1–45.1%7 months, 1,085 flights
Mar21.8%4.6–35.4%7 months, 1,152 flights
Apr18.5%8.1–27.1%7 months, 1,250 flights
May14.1%2.2–35.7%7 months, 1,184 flights
Jun16.9%10.2–51.2%7 months, 1,171 flights
Jul35.9%17.4–68.1%6 months, 1,023 flights
Aug28.0%13.3–55.1%6 months, 1,072 flights
Sep27.0%17.0–35.6%6 months, 1,068 flights
Oct26.7%16.5–47.2%6 months, 1,090 flights
Nov15.8%8.4–61.7%6 months, 961 flights
Dec29.2%9.6–51.4%6 months, 1,064 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: Ajet Hava Tasimaciligi Anonim Sirketi 18.2% of 930 movements, Pegasus Airlines 28.5% of 1,858 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 optionAjet Hava Tasimaciligi Anonim Sir…18.2% of 930 flightsPegasus Airlines28.5% of 1,858 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ajet Hava Tasimaciligi Anonim Sirketi93018.2% of 930 movements0.4% of 930 movementsno events in 930 movementsdescriptive comparison
Pegasus Airlines1,85828.5% of 1,858 movements0.5% of 1,858 movements0.1% of 1,858 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 25.0% of 2,788 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 flightsMan ↔ Istanbul-Sabiha-Gokcen30.2% of 686 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
Man ↔ Istanbul-Sabiha-Gokcen68630.2% of 686 movements0.1% of 686 movements0.1% of 686 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into STN ran 25.0% of 2,788 movements disrupted, departures 31.1% of 2,781 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 STN25.0% of 2,788 movements0.5% of 2,788 movements0.1% of 2,788 movements
Departures from STN31.1% of 2,781 movements0.5% of 2,781 movements0.2% of 2,781 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 202641 flights out of 15,09641 × £350 = £14,350
ArrivalsLast 72 months · Jul 2020–Jun 202637 flights out of 12,14937 × £350 = £12,950
DeparturesWhole archive · Jan 2018–Jun 202661 flights out of 15,28061 × £350 = £21,350
DeparturesLast 72 months · Jul 2020–Jun 202652 flights out of 12,33752 × £350 = £18,200
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 airportSTANSTED · STN
Final point / countryISTANBUL (SABIHA GOKCEN) / TURKEY
Final point codesSAW / LTFJ
Great-circle distance2,518 km
Maximum statutory amount for the band£350
Average operated arrivals per day7.60
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 archive98

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: 2,788; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

25.0% of 2,788 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.5% of 2,788 movements in the same window.

How many delays crossed three hours?

0.1% of 2,788 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?

2,518 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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