UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

MAN ↔ ABU DHABI INTERNATIONAL

In the twelve months from July 2025 to June 2026, 38.9% of 753 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, 61.1% of 753 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 753 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, 38.9% of 753 movements were disrupted and 6.4% of 753 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
38.9% of 753 movements6.4% of 753 movements24.4–42.6 min; N of delayed flights=245–398753
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: 6.4% of 753 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 min32.5%30 min14.5%60 min4.1%120 min0.3%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min32.5% of 753 movements2453.1
>30 min14.5% of 753 movements1096.9
>60 min4.1% of 753 movements3124.3
>120 min0.3% of 753 movements2376.5
>180 min0.1% of 753 movements1753.0
>360 minno events in 753 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 early13017.3%15–1 early17723.5%0–15 late15320.3%16–3013618.1%31–607810.4%61…120293.9%121…18010.1%181…36010.1%>36000.0%D=753
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0047; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Jul 2025, no events in 53 movements. Worst month: May 2026, 77.6% of 58 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: 17.7%; sample: 622018Feb 2018: 12.3%; sample: 57Mar 2018: 9.5%; sample: 63Apr 2018: 20.0%; sample: 60May 2018: 4.8%; sample: 62Jun 2018: 10.0%; sample: 60Jul 2018: 6.5%; sample: 62Aug 2018: 8.1%; sample: 62Sep 2018: 13.3%; sample: 60Oct 2018: 9.5%; sample: 63Nov 2018: 1.7%; sample: 60Dec 2018: 12.9%; sample: 62Jan 2019: 6.6%; sample: 612019Feb 2019: 1.8%; sample: 56Mar 2019: 16.1%; sample: 62Apr 2019: 25.0%; sample: 60May 2019: 14.3%; sample: 63Jun 2019: 13.3%; sample: 60Jul 2019: 14.3%; sample: 63Aug 2019: 17.7%; sample: 62Sep 2019: 18.3%; sample: 60Oct 2019: 22.6%; sample: 62Nov 2019: 5.0%; sample: 60Dec 2019: 3.2%; sample: 62Jan 2020: 17.7%; sample: 622020Feb 2020: 19.0%; sample: 58Mar 2020: 13.0%; sample: 54Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: 4.3%; sample: 23Sep 2020: 6.7%; sample: 30Oct 2020: 0.0%; sample: 31Nov 2020: 0.0%; sample: 30Dec 2020: 25.8%; sample: 31Jan 2021: 10.0%; sample: 302021Feb 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: suppressed: fewer than twenty movements×Aug 2021: 21.7%; sample: 23Sep 2021: 16.7%; sample: 30Oct 2021: 41.9%; sample: 31Nov 2021: 33.3%; sample: 30Dec 2021: 58.1%; sample: 31Jan 2022: 43.3%; sample: 302022Feb 2022: 46.2%; sample: 26Mar 2022: 21.2%; sample: 33Apr 2022: 23.3%; sample: 30May 2022: 22.6%; sample: 31Jun 2022: 16.7%; sample: 30Jul 2022: 35.5%; sample: 31Aug 2022: 9.7%; sample: 31Sep 2022: 33.3%; sample: 30Oct 2022: 29.0%; sample: 31Nov 2022: 20.0%; sample: 30Dec 2022: 19.4%; sample: 31Jan 2023: 22.6%; sample: 312023Feb 2023: 17.9%; sample: 28Mar 2023: 6.5%; sample: 31Apr 2023: 3.3%; sample: 30May 2023: 19.4%; sample: 31Jun 2023: 23.3%; sample: 30Jul 2023: 6.5%; sample: 31Aug 2023: 6.5%; sample: 31Sep 2023: 10.0%; sample: 30Oct 2023: 3.2%; sample: 31Nov 2023: 50.0%; sample: 30Dec 2023: 37.5%; sample: 32Jan 2024: 32.3%; sample: 312024Feb 2024: 51.7%; sample: 29Mar 2024: 19.4%; sample: 31Apr 2024: 43.3%; sample: 30May 2024: 16.1%; sample: 31Jun 2024: 16.7%; sample: 30Jul 2024: 9.7%; sample: 31Aug 2024: 35.5%; sample: 31Sep 2024: 20.0%; sample: 30Oct 2024: 67.7%; sample: 31Nov 2024: 0.0%; sample: 30Dec 2024: 18.4%; sample: 38Jan 2025: 22.7%; sample: 442025Feb 2025: 20.0%; sample: 40Mar 2025: 6.7%; sample: 45Apr 2025: 4.7%; sample: 43May 2025: 13.6%; sample: 44Jun 2025: 13.6%; sample: 44Jul 2025: 0.0%; sample: 53Aug 2025: 8.1%; sample: 62Sep 2025: 13.6%; sample: 59Oct 2025: 30.6%; sample: 62Nov 2025: 9.2%; sample: 65Dec 2025: 37.9%; sample: 66Jan 2026: 53.0%; sample: 662026Feb 2026: 37.9%; sample: 66Mar 2026: 75.8%; sample: 62Apr 2026: 56.1%; sample: 66May 2026: 77.6%; sample: 58Jun 2026: 60.3%; sample: 68Pandemic 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 201817.7% of 62 movements
Feb 201812.3% of 57 movements
Mar 20189.5% of 63 movements
Apr 201820.0% of 60 movements
May 20184.8% of 62 movements
Jun 201810.0% of 60 movements
Jul 20186.5% of 62 movements
Aug 20188.1% of 62 movements
Sep 201813.3% of 60 movements
Oct 20189.5% of 63 movements
Nov 20181.7% of 60 movements
Dec 201812.9% of 62 movements
Jan 20196.6% of 61 movements
Feb 20191.8% of 56 movements
Mar 201916.1% of 62 movements
Apr 201925.0% of 60 movements
May 201914.3% of 63 movements
Jun 201913.3% of 60 movements
Jul 201914.3% of 63 movements
Aug 201917.7% of 62 movements
Sep 201918.3% of 60 movements
Oct 201922.6% of 62 movements
Nov 20195.0% of 60 movements
Dec 20193.2% of 62 movements
Jan 202017.7% of 62 movements
Feb 202019.0% of 58 movements
Mar 202013.0% of 54 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 20204.3% of 23 movements — small sample, not ranked
Sep 20206.7% of 30 movements — small sample, not ranked
Oct 2020no events in 31 movements — small sample, not ranked
Nov 2020no events in 30 movements — small sample, not ranked
Dec 202025.8% of 31 movements — small sample, not ranked
Jan 202110.0% of 30 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021no data
May 2021no data
Jun 2021no data
Jul 2021suppressed: fewer than twenty movements
Aug 202121.7% of 23 movements — small sample, not ranked
Sep 202116.7% of 30 movements — small sample, not ranked
Oct 202141.9% of 31 movements — small sample, not ranked
Nov 202133.3% of 30 movements — small sample, not ranked
Dec 202158.1% of 31 movements — small sample, not ranked
Jan 202243.3% of 30 movements — small sample, not ranked
Feb 202246.2% of 26 movements — small sample, not ranked
Mar 202221.2% of 33 movements — small sample, not ranked
Apr 202223.3% of 30 movements — small sample, not ranked
May 202222.6% of 31 movements — small sample, not ranked
Jun 202216.7% of 30 movements — small sample, not ranked
Jul 202235.5% of 31 movements — small sample, not ranked
Aug 20229.7% of 31 movements — small sample, not ranked
Sep 202233.3% of 30 movements — small sample, not ranked
Oct 202229.0% of 31 movements — small sample, not ranked
Nov 202220.0% of 30 movements — small sample, not ranked
Dec 202219.4% of 31 movements — small sample, not ranked
Jan 202322.6% of 31 movements — small sample, not ranked
Feb 202317.9% of 28 movements — small sample, not ranked
Mar 20236.5% of 31 movements — small sample, not ranked
Apr 20233.3% of 30 movements — small sample, not ranked
May 202319.4% of 31 movements — small sample, not ranked
Jun 202323.3% of 30 movements — small sample, not ranked
Jul 20236.5% of 31 movements — small sample, not ranked
Aug 20236.5% of 31 movements — small sample, not ranked
Sep 202310.0% of 30 movements — small sample, not ranked
Oct 20233.2% of 31 movements — small sample, not ranked
Nov 202350.0% of 30 movements — small sample, not ranked
Dec 202337.5% of 32 movements — small sample, not ranked
Jan 202432.3% of 31 movements — small sample, not ranked
Feb 202451.7% of 29 movements — small sample, not ranked
Mar 202419.4% of 31 movements — small sample, not ranked
Apr 202443.3% of 30 movements — small sample, not ranked
May 202416.1% of 31 movements — small sample, not ranked
Jun 202416.7% of 30 movements — small sample, not ranked
Jul 20249.7% of 31 movements — small sample, not ranked
Aug 202435.5% of 31 movements — small sample, not ranked
Sep 202420.0% of 30 movements — small sample, not ranked
Oct 202467.7% of 31 movements — small sample, not ranked
Nov 2024no events in 30 movements — small sample, not ranked
Dec 202418.4% of 38 movements — small sample, not ranked
Jan 202522.7% of 44 movements — small sample, not ranked
Feb 202520.0% of 40 movements — small sample, not ranked
Mar 20256.7% of 45 movements — small sample, not ranked
Apr 20254.7% of 43 movements — small sample, not ranked
May 202513.6% of 44 movements — small sample, not ranked
Jun 202513.6% of 44 movements — small sample, not ranked
Jul 2025no events in 53 movements
Aug 20258.1% of 62 movements
Sep 202513.6% of 59 movements
Oct 202530.6% of 62 movements
Nov 20259.2% of 65 movements
Dec 202537.9% of 66 movements
Jan 202653.0% of 66 movements
Feb 202637.9% of 66 movements
Mar 202675.8% of 62 movements
Apr 202656.1% of 66 movements
May 202677.6% of 58 movements
Jun 202660.3% of 68 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 2020Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals35.5% of 31 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures83.9% of 31 movements — small sample, not ranked62.2% across 367 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals6.5% of 31 movements — small sample, not ranked17.6% across 365 flightsreturned the next month
NATS system failure · Aug 2023Departures35.5% of 31 movements — small sample, not ranked56.8% across 367 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals6.7% of 45 movements — small sample, not ranked24.1% across 397 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.3% of 45 movements — small sample, not ranked50.4% across 399 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?

October has historically been the hardest month on this route: in a typical October, 25.8% of arrivals were disrupted, measured across 6 Octobers in the archive. November has been the calmest, at 7.1% across 6 Novembers.

Even October has ranged from 3.2% to 67.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20196.6% of 61 movements1.8% of 56 movements16.1% of 62 movements25.0% of 60 movements14.3% of 63 movements13.3% of 60 movements14.3% of 63 movements17.7% of 62 movements18.3% of 60 movements22.6% of 62 movements5.0% of 60 movements3.2% of 62 movements202017.7% of 62 movements19.0% of 58 movements13.0% of 54 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements4.3% of 23 movements †6.7% of 30 movements †no events in 31 movements †no events in 30 movements †25.8% of 31 movements †202110.0% of 30 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datano datasuppressed: fewer than twenty movements21.7% of 23 movements †16.7% of 30 movements †41.9% of 31 movements †33.3% of 30 movements †58.1% of 31 movements †202243.3% of 30 movements †46.2% of 26 movements †21.2% of 33 movements †23.3% of 30 movements †22.6% of 31 movements †16.7% of 30 movements †35.5% of 31 movements †9.7% of 31 movements †33.3% of 30 movements †29.0% of 31 movements †20.0% of 30 movements †19.4% of 31 movements †202322.6% of 31 movements †17.9% of 28 movements †6.5% of 31 movements †3.3% of 30 movements †19.4% of 31 movements †23.3% of 30 movements †6.5% of 31 movements †6.5% of 31 movements †10.0% of 30 movements †3.2% of 31 movements †50.0% of 30 movements †37.5% of 32 movements †202432.3% of 31 movements †51.7% of 29 movements †19.4% of 31 movements †43.3% of 30 movements †16.1% of 31 movements †16.7% of 30 movements †9.7% of 31 movements †35.5% of 31 movements †20.0% of 30 movements †67.7% of 31 movements †no events in 30 movements †18.4% of 38 movements †202522.7% of 44 movements †20.0% of 40 movements †6.7% of 45 movements †4.7% of 43 movements †13.6% of 44 movements †13.6% of 44 movements †no events in 53 movements8.1% of 62 movements13.6% of 59 movements30.6% of 62 movements9.2% of 65 movements37.9% of 66 movements202653.0% of 66 movements37.9% of 66 movements75.8% of 62 movements56.1% of 66 movements77.6% of 58 movements60.3% of 68 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.7%6.6–53.0%7 months, 325 flights
Feb20.0%1.8–51.7%7 months, 302 flights
Mar16.1%6.5–75.8%7 months, 327 flights
Apr23.3%3.3–56.1%7 months, 319 flights
May16.1%4.8–77.6%7 months, 320 flights
Jun16.7%10.0–60.3%7 months, 322 flights
Jul8.1%0.0–35.5%6 months, 271 flights
Aug8.9%6.5–35.5%6 months, 279 flights
Sep15.9%10.0–33.3%6 months, 269 flights
Oct25.8%3.2–67.7%6 months, 280 flights
Nov7.1%0.0–50.0%6 months, 275 flights
Dec18.9%3.2–37.9%6 months, 291 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: Etihad Airways, 38.9% of 753 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 optionEtihad Airways38.9% of 753 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Emiratessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ethiopian Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Etihad Airways75338.9% of 753 movements6.4% of 753 movements0.1% of 753 movementsdescriptive comparison
Thomas Cook 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, LHR had the lowest disruption share at 29.9% of 1,527 movements and LHR the highest at 29.9% of 1,527 movements. This route sits at 38.9% of 753 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 optionLhr ↔ Abu-Dhabi-International29.9% of 1,527 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Abu-Dhabi-Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Abu-Dhabi-Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Abu-Dhabi-Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Abu-Dhabi-Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Abu-Dhabi-International1,52729.9% of 1,527 movements2.2% of 1,527 movements0.3% of 1,527 movementsdescriptive comparison
Stn ↔ Abu-Dhabi-Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Barely: arrivals into MAN ran 38.9% of 753 movements disrupted, departures 36.1% of 754 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 MAN38.9% of 753 movements6.4% of 753 movements0.1% of 753 movements
Departures from MAN36.1% of 754 movements6.8% of 754 movements0.7% of 754 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 202615 flights out of 4,08215 × £520 = £7,800
ArrivalsLast 72 months · Jul 2020–Jun 20268 flights out of 2,4428 × £520 = £4,160
DeparturesWhole archive · Jan 2018–Jun 202622 flights out of 4,28122 × £520 = £11,440
DeparturesLast 72 months · Jul 2020–Jun 202618 flights out of 2,63918 × £520 = £9,360
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 / countryABU DHABI INTERNATIONAL / UNITED ARAB EMIRATES
Final point codesAUH / OMAA
Great-circle distance5,678 km
Maximum statutory amount for the band£520
Average operated arrivals per day1.93
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 archive96

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: 753; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

38.9% of 753 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

6.4% of 753 movements in the same window.

How many delays crossed three hours?

0.1% of 753 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?

5,678 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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