UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LGW ↔ SHARM EL SHEIKH OPHIRA

In the twelve months from July 2025 to June 2026, 37.3% of 853 movements arriving into LGW were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 62.7% of 853 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 171 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, 37.3% of 853 movements were disrupted and 1.3% of 853 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
37.3% of 853 movements1.3% of 853 movements32.1–56.6 min; N of delayed flights=307–516853
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 1.3% of 853 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 min36.0%30 min20.5%60 min7.4%120 min1.4%180 min0.6%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min36.0% of 853 movements3072.8
>30 min20.5% of 853 movements1754.9
>60 min7.4% of 853 movements6313.5
>120 min1.4% of 853 movements1271.1
>180 min0.6% of 853 movements5170.6
>360 min0.2% of 853 movements2426.5
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 early11813.8%15–1 early20824.4%0–15 late20924.5%16–3013215.5%31–6011213.1%61…120516.0%121…18070.8%181…36030.4%>36020.2%D=853
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0205; 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: Nov 2025, 13.0% of 92 movements. Worst month: Sep 2024, 73.7% of 57 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: no data×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: no data×Aug 2019: no data×Sep 2019: no data×Oct 2019: no data×Nov 2019: no data×Dec 2019: suppressed: fewer than twenty movements×Jan 2020: suppressed: fewer than twenty movements×2020Feb 2020: suppressed: fewer than twenty movements×Mar 2020: suppressed: fewer than twenty movements×Apr 2020: no data×May 2020: no data×Jun 2020: no data×Jul 2020: no data×Aug 2020: no data×Sep 2020: no data×Oct 2020: suppressed: fewer than twenty movements×Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: no data×May 2021: no data×Jun 2021: no data×Jul 2021: no data×Aug 2021: no data×Sep 2021: no data×Oct 2021: suppressed: fewer than twenty movements×Nov 2021: 69.6%; sample: 23Dec 2021: 41.7%; sample: 24Jan 2022: suppressed: fewer than twenty movements×2022Feb 2022: 21.7%; sample: 23Mar 2022: 29.0%; sample: 31Apr 2022: 30.8%; sample: 26May 2022: 64.0%; sample: 25Jun 2022: 61.5%; sample: 26Jul 2022: 61.5%; sample: 26Aug 2022: 51.9%; sample: 27Sep 2022: 78.6%; sample: 28Oct 2022: 42.9%; sample: 28Nov 2022: 35.1%; sample: 37Dec 2022: 51.2%; sample: 41Jan 2023: 45.5%; sample: 332023Feb 2023: 37.5%; sample: 32Mar 2023: 79.2%; sample: 48Apr 2023: 50.0%; sample: 50May 2023: 51.9%; sample: 52Jun 2023: 76.1%; sample: 46Jul 2023: 82.1%; sample: 28Aug 2023: 75.0%; sample: 28Sep 2023: 66.7%; sample: 48Oct 2023: 52.9%; sample: 51Nov 2023: 37.0%; sample: 73Dec 2023: 46.1%; sample: 76Jan 2024: 32.3%; sample: 652024Feb 2024: 29.2%; sample: 65Mar 2024: 28.6%; sample: 70Apr 2024: 35.2%; sample: 54May 2024: 58.5%; sample: 53Jun 2024: 62.5%; sample: 48Jul 2024: 74.3%; sample: 35Aug 2024: 85.3%; sample: 34Sep 2024: 73.7%; sample: 57Oct 2024: 52.5%; sample: 61Nov 2024: 24.1%; sample: 87Dec 2024: 42.2%; sample: 90Jan 2025: 22.5%; sample: 712025Feb 2025: 26.3%; sample: 76Mar 2025: 18.4%; sample: 87Apr 2025: 30.4%; sample: 69May 2025: 58.2%; sample: 67Jun 2025: 63.6%; sample: 55Jul 2025: 55.0%; sample: 40Aug 2025: 41.0%; sample: 39Sep 2025: 70.5%; sample: 61Oct 2025: 36.8%; sample: 68Nov 2025: 13.0%; sample: 92Dec 2025: 26.9%; sample: 93Jan 2026: 37.8%; sample: 742026Feb 2026: 26.5%; sample: 83Mar 2026: 35.0%; sample: 100Apr 2026: 35.0%; sample: 80May 2026: 44.9%; sample: 69Jun 2026: 57.4%; sample: 54Pandemic 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 2018no data
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 2019no data
Aug 2019no data
Sep 2019no data
Oct 2019no data
Nov 2019no data
Dec 2019suppressed: fewer than twenty movements
Jan 2020suppressed: fewer than twenty movements
Feb 2020suppressed: fewer than twenty movements
Mar 2020suppressed: fewer than twenty movements
Apr 2020no data
May 2020no data
Jun 2020no data
Jul 2020no data
Aug 2020no data
Sep 2020no data
Oct 2020suppressed: fewer than twenty movements
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021no data
May 2021no data
Jun 2021no data
Jul 2021no data
Aug 2021no data
Sep 2021no data
Oct 2021suppressed: fewer than twenty movements
Nov 202169.6% of 23 movements — small sample, not ranked
Dec 202141.7% of 24 movements — small sample, not ranked
Jan 2022suppressed: fewer than twenty movements
Feb 202221.7% of 23 movements — small sample, not ranked
Mar 202229.0% of 31 movements — small sample, not ranked
Apr 202230.8% of 26 movements — small sample, not ranked
May 202264.0% of 25 movements — small sample, not ranked
Jun 202261.5% of 26 movements — small sample, not ranked
Jul 202261.5% of 26 movements — small sample, not ranked
Aug 202251.9% of 27 movements — small sample, not ranked
Sep 202278.6% of 28 movements — small sample, not ranked
Oct 202242.9% of 28 movements — small sample, not ranked
Nov 202235.1% of 37 movements — small sample, not ranked
Dec 202251.2% of 41 movements — small sample, not ranked
Jan 202345.5% of 33 movements — small sample, not ranked
Feb 202337.5% of 32 movements — small sample, not ranked
Mar 202379.2% of 48 movements — small sample, not ranked
Apr 202350.0% of 50 movements
May 202351.9% of 52 movements
Jun 202376.1% of 46 movements — small sample, not ranked
Jul 202382.1% of 28 movements — small sample, not ranked
Aug 202375.0% of 28 movements — small sample, not ranked
Sep 202366.7% of 48 movements — small sample, not ranked
Oct 202352.9% of 51 movements
Nov 202337.0% of 73 movements
Dec 202346.1% of 76 movements
Jan 202432.3% of 65 movements
Feb 202429.2% of 65 movements
Mar 202428.6% of 70 movements
Apr 202435.2% of 54 movements
May 202458.5% of 53 movements
Jun 202462.5% of 48 movements — small sample, not ranked
Jul 202474.3% of 35 movements — small sample, not ranked
Aug 202485.3% of 34 movements — small sample, not ranked
Sep 202473.7% of 57 movements
Oct 202452.5% of 61 movements
Nov 202424.1% of 87 movements
Dec 202442.2% of 90 movements
Jan 202522.5% of 71 movements
Feb 202526.3% of 76 movements
Mar 202518.4% of 87 movements
Apr 202530.4% of 69 movements
May 202558.2% of 67 movements
Jun 202563.6% of 55 movements
Jul 202555.0% of 40 movements — small sample, not ranked
Aug 202541.0% of 39 movements — small sample, not ranked
Sep 202570.5% of 61 movements
Oct 202536.8% of 68 movements
Nov 202513.0% of 92 movements
Dec 202526.9% of 93 movements
Jan 202637.8% of 74 movements
Feb 202626.5% of 83 movements
Mar 202635.0% of 100 movements
Apr 202635.0% of 80 movements
May 202644.9% of 69 movements
Jun 202657.4% of 54 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 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 2022Arrivals61.5% of 26 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures74.1% of 27 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals75.0% of 28 movements — small sample, not ranked56.8% across 450 flightsreturned after 2 months
NATS system failure · Aug 2023Departures74.1% of 27 movements — small sample, not ranked55.0% across 428 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals18.4% of 87 movements48.8% across 736 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures25.6% of 86 movements49.5% across 741 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, 72.1% of arrivals were disrupted, measured across 4 Septembers in the archive. February has been the calmest, at 26.5% across 5 Februarys.

Even September has ranged from 66.7% to 78.6% 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 datano datano datano datano datano datasuppressed: fewer than twenty movements2020suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datano datano datano datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datano datano datano datano datasuppressed: fewer than twenty movements69.6% of 23 movements †41.7% of 24 movements †2022suppressed: fewer than twenty movements21.7% of 23 movements †29.0% of 31 movements †30.8% of 26 movements †64.0% of 25 movements †61.5% of 26 movements †61.5% of 26 movements †51.9% of 27 movements †78.6% of 28 movements †42.9% of 28 movements †35.1% of 37 movements †51.2% of 41 movements †202345.5% of 33 movements †37.5% of 32 movements †79.2% of 48 movements †50.0% of 50 movements51.9% of 52 movements76.1% of 46 movements †82.1% of 28 movements †75.0% of 28 movements †66.7% of 48 movements †52.9% of 51 movements37.0% of 73 movements46.1% of 76 movements202432.3% of 65 movements29.2% of 65 movements28.6% of 70 movements35.2% of 54 movements58.5% of 53 movements62.5% of 48 movements †74.3% of 35 movements †85.3% of 34 movements †73.7% of 57 movements52.5% of 61 movements24.1% of 87 movements42.2% of 90 movements202522.5% of 71 movements26.3% of 76 movements18.4% of 87 movements30.4% of 69 movements58.2% of 67 movements63.6% of 55 movements55.0% of 40 movements †41.0% of 39 movements †70.5% of 61 movements36.8% of 68 movements13.0% of 92 movements26.9% of 93 movements202637.8% of 74 movements26.5% of 83 movements35.0% of 100 movements35.0% of 80 movements44.9% of 69 movements57.4% of 54 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan35.1%22.5–45.5%4 months, 243 flights
Feb26.5%21.7–37.5%5 months, 279 flights
Mar29.0%18.4–79.2%5 months, 336 flights
Apr35.0%30.4–50.0%5 months, 279 flights
May58.2%44.9–64.0%5 months, 266 flights
Jun62.5%57.4–76.1%5 months, 229 flights
Jul67.9%55.0–82.1%4 months, 129 flights
Aug63.4%41.0–85.3%4 months, 128 flights
Sep72.1%66.7–78.6%4 months, 194 flights
Oct47.7%36.8–52.9%4 months, 208 flights
Nov29.6%13.0–37.0%4 months, 289 flights
Dec44.1%26.9–51.2%4 months, 300 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: Wizz Air Uk 16.5% of 133 movements, Ba Euroflyer British Airways 23.3% of 90 movements, Easyjet Uk 38.1% of 396 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 optionBa Euroflyer British Airways23.3% of 90 flightsEasyjet Uk38.1% of 396 flightsTui Airways52.2% of 230 flightsWizz Air Uk16.5% of 133 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Cairosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ba Euroflyer British Airways9023.3% of 90 movementsno events in 90 movements1.1% of 90 movementsdescriptive comparison
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk39638.1% of 396 movements1.0% of 396 movements1.0% of 396 movementsdescriptive comparison
Enter Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Flyegyptsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Saudi Arabian Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airways23052.2% of 230 movementsno events in 230 movementsno events in 230 movementsdescriptive comparison
Wizz Air Uk13316.5% of 133 movements2.3% of 133 movementsno events in 133 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, LTN had the lowest disruption share at 33.5% of 358 movements and STN the highest at 69.0% of 42 movements — small sample, not ranked. This route sits at 37.3% of 853 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 ↔ Sharm-El-Sheikh-Ophira46.9% of 256 flightsBrs ↔ Sharm-El-Sheikh-Ophira40.4% of 208 flightsEma ↔ Sharm-El-Sheikh-Ophira †69.0% of 29 flightsGla ↔ Sharm-El-Sheikh-Ophira64.4% of 59 flightsLpl ↔ Sharm-El-Sheikh-Ophira50.4% of 119 flightsLtn ↔ Sharm-El-Sheikh-Ophira33.5% of 358 flightsMan ↔ Sharm-El-Sheikh-Ophira58.4% of 476 flightsNcl ↔ Sharm-El-Sheikh-Ophira61.0% of 100 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Sharm-El-Sheikh-Ophira25646.9% of 256 movements0.4% of 256 movements4.7% of 256 movementsdescriptive comparison
Brs ↔ Sharm-El-Sheikh-Ophira20840.4% of 208 movements1.9% of 208 movementsno events in 208 movementsdescriptive comparison
Cwl ↔ Sharm-El-Sheikh-Ophirasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Sharm-El-Sheikh-Ophira2969.0% of 29 movements — small sample, not rankedno events in 29 movements — small sample, not rankedno events in 29 movements — small sample, not rankedsmall sample; not ranked
Gla ↔ Sharm-El-Sheikh-Ophira5964.4% of 59 movementsno events in 59 movements1.7% of 59 movementsdescriptive comparison
Lpl ↔ Sharm-El-Sheikh-Ophira11950.4% of 119 movements0.8% of 119 movements2.5% of 119 movementsdescriptive comparison
Ltn ↔ Sharm-El-Sheikh-Ophira35833.5% of 358 movements2.2% of 358 movements0.6% of 358 movementsdescriptive comparison
Man ↔ Sharm-El-Sheikh-Ophira47658.4% of 476 movements0.6% of 476 movements1.9% of 476 movementsdescriptive comparison
Ncl ↔ Sharm-El-Sheikh-Ophira10061.0% of 100 movementsno events in 100 movements1.0% of 100 movementsdescriptive comparison
Stn ↔ Sharm-El-Sheikh-Ophira4269.0% of 42 movements — small sample, not rankedno events in 42 movements — small sample, not ranked4.8% of 42 movements — small sample, not rankedsmall sample; not ranked

Does the direction you are flying change anything?

Yes: arrivals into LGW ran 37.3% of 853 movements disrupted, departures 27.0% of 848 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 LGW37.3% of 853 movements1.3% of 853 movements0.6% of 853 movements
Departures from LGW27.0% of 848 movements1.1% of 848 movements0.1% of 848 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 202628 flights out of 2,98728 × £520 = £14,560
ArrivalsLast 72 months · Jul 2020–Jun 202628 flights out of 2,96428 × £520 = £14,560
DeparturesWhole archive · Jan 2018–Jun 202610 flights out of 2,96410 × £520 = £5,200
DeparturesLast 72 months · Jul 2020–Jun 202610 flights out of 2,94010 × £520 = £5,200
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 airportGATWICK · LGW
Final point / countrySHARM EL SHEIKH (OPHIRA) / EGYPT
Final point codesSSH / HESH
Great-circle distance3,866 km
Maximum statutory amount for the band£520
Average operated arrivals per day2.31
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthDec 2019–Jun 2026
Months with operations in the archive65

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: 853; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

37.3% of 853 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.3% of 853 movements in the same window.

How many delays crossed three hours?

0.6% of 853 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?

3,866 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

We'll email you once; unsubscribe any time.

Related records