UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

MAN ↔ OSLO GARDERMOEN

In the twelve months from July 2025 to June 2026, 22.6% of 801 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, 77.4% of 801 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 267 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, 22.6% of 801 movements were disrupted and 1.2% of 801 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
22.6% of 801 movements1.2% of 801 movements19.2–53.0 min; N of delayed flights=171–431801
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: 1.2% of 801 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 min21.3%30 min9.5%60 min3.4%120 min0.9%180 min0.4%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min21.3% of 801 movements1714.7
>30 min9.5% of 801 movements7610.5
>60 min3.4% of 801 movements2729.7
>120 min0.9% of 801 movements7114.4
>180 min0.4% of 801 movements3267.0
>360 minno events in 801 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 early526.5%15–1 early30838.5%0–15 late26032.5%16–309511.9%31–60496.1%61…120202.5%121…18040.5%181…36030.4%>36000.0%D=801
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0208; 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: May 2025, 4.2% of 71 movements. Worst month: Jan 2026, 46.2% of 65 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: 41.2%; sample: 342018Feb 2018: 17.5%; sample: 40Mar 2018: 9.5%; sample: 42Apr 2018: 25.0%; sample: 56May 2018: 8.2%; sample: 49Jun 2018: 33.3%; sample: 39Jul 2018: 22.2%; sample: 54Aug 2018: 18.8%; sample: 48Sep 2018: 19.6%; sample: 51Oct 2018: 20.4%; sample: 54Nov 2018: 14.0%; sample: 43Dec 2018: 28.6%; sample: 42Jan 2019: 31.2%; sample: 322019Feb 2019: 35.1%; sample: 37Mar 2019: 24.4%; sample: 45Apr 2019: 26.4%; sample: 53May 2019: 8.3%; sample: 48Jun 2019: 26.2%; sample: 42Jul 2019: 14.8%; sample: 54Aug 2019: 12.5%; sample: 56Sep 2019: 21.4%; sample: 56Oct 2019: 18.2%; sample: 55Nov 2019: 30.8%; sample: 52Dec 2019: 15.7%; sample: 51Jan 2020: 15.2%; sample: 332020Feb 2020: 27.9%; sample: 43Mar 2020: 17.6%; sample: 34Apr 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: suppressed: fewer than twenty movements×Sep 2020: suppressed: fewer than twenty movements×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: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: suppressed: fewer than twenty movements×Oct 2021: suppressed: fewer than twenty movements×Nov 2021: 21.2%; sample: 33Dec 2021: 45.0%; sample: 40Jan 2022: 27.3%; sample: 222022Feb 2022: 32.3%; sample: 31Mar 2022: 17.6%; sample: 34Apr 2022: 31.8%; sample: 44May 2022: 25.0%; sample: 48Jun 2022: 41.9%; sample: 31Jul 2022: 34.6%; sample: 26Aug 2022: 34.3%; sample: 35Sep 2022: 30.8%; sample: 39Oct 2022: 27.3%; sample: 44Nov 2022: 20.0%; sample: 40Dec 2022: 56.4%; sample: 39Jan 2023: 35.3%; sample: 342023Feb 2023: 26.5%; sample: 34Mar 2023: 24.4%; sample: 45Apr 2023: 6.5%; sample: 46May 2023: 10.4%; sample: 48Jun 2023: 20.9%; sample: 43Jul 2023: 42.1%; sample: 57Aug 2023: 22.2%; sample: 54Sep 2023: 25.9%; sample: 58Oct 2023: 31.6%; sample: 57Nov 2023: 14.9%; sample: 47Dec 2023: 33.3%; sample: 51Jan 2024: 34.1%; sample: 442024Feb 2024: 36.4%; sample: 55Mar 2024: 8.8%; sample: 57Apr 2024: 15.4%; sample: 65May 2024: 11.9%; sample: 59Jun 2024: 16.0%; sample: 50Jul 2024: 20.0%; sample: 40Aug 2024: 21.2%; sample: 52Sep 2024: 8.3%; sample: 60Oct 2024: 7.0%; sample: 57Nov 2024: 21.3%; sample: 61Dec 2024: 41.5%; sample: 65Jan 2025: 41.0%; sample: 612025Feb 2025: 25.0%; sample: 64Mar 2025: 4.8%; sample: 62Apr 2025: 12.7%; sample: 71May 2025: 4.2%; sample: 71Jun 2025: 18.0%; sample: 61Jul 2025: 8.2%; sample: 61Aug 2025: 15.2%; sample: 66Sep 2025: 16.9%; sample: 71Oct 2025: 26.8%; sample: 71Nov 2025: 26.3%; sample: 57Dec 2025: 33.8%; sample: 68Jan 2026: 46.2%; sample: 652026Feb 2026: 45.3%; sample: 64Mar 2026: 21.6%; sample: 74Apr 2026: 16.0%; sample: 75May 2026: 5.7%; sample: 70Jun 2026: 10.2%; sample: 59Pandemic 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 201841.2% of 34 movements — small sample, not ranked
Feb 201817.5% of 40 movements — small sample, not ranked
Mar 20189.5% of 42 movements — small sample, not ranked
Apr 201825.0% of 56 movements
May 20188.2% of 49 movements — small sample, not ranked
Jun 201833.3% of 39 movements — small sample, not ranked
Jul 201822.2% of 54 movements
Aug 201818.8% of 48 movements — small sample, not ranked
Sep 201819.6% of 51 movements
Oct 201820.4% of 54 movements
Nov 201814.0% of 43 movements — small sample, not ranked
Dec 201828.6% of 42 movements — small sample, not ranked
Jan 201931.2% of 32 movements — small sample, not ranked
Feb 201935.1% of 37 movements — small sample, not ranked
Mar 201924.4% of 45 movements — small sample, not ranked
Apr 201926.4% of 53 movements
May 20198.3% of 48 movements — small sample, not ranked
Jun 201926.2% of 42 movements — small sample, not ranked
Jul 201914.8% of 54 movements
Aug 201912.5% of 56 movements
Sep 201921.4% of 56 movements
Oct 201918.2% of 55 movements
Nov 201930.8% of 52 movements
Dec 201915.7% of 51 movements
Jan 202015.2% of 33 movements — small sample, not ranked
Feb 202027.9% of 43 movements — small sample, not ranked
Mar 202017.6% of 34 movements — small sample, not ranked
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 2020suppressed: fewer than twenty movements
Sep 2020suppressed: fewer than twenty movements
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 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 2021suppressed: fewer than twenty movements
Oct 2021suppressed: fewer than twenty movements
Nov 202121.2% of 33 movements — small sample, not ranked
Dec 202145.0% of 40 movements — small sample, not ranked
Jan 202227.3% of 22 movements — small sample, not ranked
Feb 202232.3% of 31 movements — small sample, not ranked
Mar 202217.6% of 34 movements — small sample, not ranked
Apr 202231.8% of 44 movements — small sample, not ranked
May 202225.0% of 48 movements — small sample, not ranked
Jun 202241.9% of 31 movements — small sample, not ranked
Jul 202234.6% of 26 movements — small sample, not ranked
Aug 202234.3% of 35 movements — small sample, not ranked
Sep 202230.8% of 39 movements — small sample, not ranked
Oct 202227.3% of 44 movements — small sample, not ranked
Nov 202220.0% of 40 movements — small sample, not ranked
Dec 202256.4% of 39 movements — small sample, not ranked
Jan 202335.3% of 34 movements — small sample, not ranked
Feb 202326.5% of 34 movements — small sample, not ranked
Mar 202324.4% of 45 movements — small sample, not ranked
Apr 20236.5% of 46 movements — small sample, not ranked
May 202310.4% of 48 movements — small sample, not ranked
Jun 202320.9% of 43 movements — small sample, not ranked
Jul 202342.1% of 57 movements
Aug 202322.2% of 54 movements
Sep 202325.9% of 58 movements
Oct 202331.6% of 57 movements
Nov 202314.9% of 47 movements — small sample, not ranked
Dec 202333.3% of 51 movements
Jan 202434.1% of 44 movements — small sample, not ranked
Feb 202436.4% of 55 movements
Mar 20248.8% of 57 movements
Apr 202415.4% of 65 movements
May 202411.9% of 59 movements
Jun 202416.0% of 50 movements
Jul 202420.0% of 40 movements — small sample, not ranked
Aug 202421.2% of 52 movements
Sep 20248.3% of 60 movements
Oct 20247.0% of 57 movements
Nov 202421.3% of 61 movements
Dec 202441.5% of 65 movements
Jan 202541.0% of 61 movements
Feb 202525.0% of 64 movements
Mar 20254.8% of 62 movements
Apr 202512.7% of 71 movements
May 20254.2% of 71 movements
Jun 202518.0% of 61 movements
Jul 20258.2% of 61 movements
Aug 202515.2% of 66 movements
Sep 202516.9% of 71 movements
Oct 202526.8% of 71 movements
Nov 202526.3% of 57 movements
Dec 202533.8% of 68 movements
Jan 202646.2% of 65 movements
Feb 202645.3% of 64 movements
Mar 202621.6% of 74 movements
Apr 202616.0% of 75 movements
May 20265.7% of 70 movements
Jun 202610.2% of 59 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 2022Arrivals34.6% of 26 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures42.3% of 26 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals22.2% of 54 movements27.9% across 504 flightsreturned the next month
NATS system failure · Aug 2023Departures33.3% of 54 movements36.0% across 506 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals4.8% of 62 movements19.8% across 691 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures9.7% of 62 movements27.3% across 694 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, 35.3% of arrivals were disrupted, measured across 7 Januarys in the archive. May has been the calmest, at 8.3% across 7 Mays.

Even January has ranged from 27.3% to 46.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201931.2% of 32 movements †35.1% of 37 movements †24.4% of 45 movements †26.4% of 53 movements8.3% of 48 movements †26.2% of 42 movements †14.8% of 54 movements12.5% of 56 movements21.4% of 56 movements18.2% of 55 movements30.8% of 52 movements15.7% of 51 movements202015.2% of 33 movements †27.9% of 43 movements †17.6% of 34 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: 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 datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements21.2% of 33 movements †45.0% of 40 movements †202227.3% of 22 movements †32.3% of 31 movements †17.6% of 34 movements †31.8% of 44 movements †25.0% of 48 movements †41.9% of 31 movements †34.6% of 26 movements †34.3% of 35 movements †30.8% of 39 movements †27.3% of 44 movements †20.0% of 40 movements †56.4% of 39 movements †202335.3% of 34 movements †26.5% of 34 movements †24.4% of 45 movements †6.5% of 46 movements †10.4% of 48 movements †20.9% of 43 movements †42.1% of 57 movements22.2% of 54 movements25.9% of 58 movements31.6% of 57 movements14.9% of 47 movements †33.3% of 51 movements202434.1% of 44 movements †36.4% of 55 movements8.8% of 57 movements15.4% of 65 movements11.9% of 59 movements16.0% of 50 movements20.0% of 40 movements †21.2% of 52 movements8.3% of 60 movements7.0% of 57 movements21.3% of 61 movements41.5% of 65 movements202541.0% of 61 movements25.0% of 64 movements4.8% of 62 movements12.7% of 71 movements4.2% of 71 movements18.0% of 61 movements8.2% of 61 movements15.2% of 66 movements16.9% of 71 movements26.8% of 71 movements26.3% of 57 movements33.8% of 68 movements202646.2% of 65 movements45.3% of 64 movements21.6% of 74 movements16.0% of 75 movements5.7% of 70 movements10.2% of 59 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan35.3%27.3–46.2%7 months, 292 flights
Feb32.3%17.5–45.3%7 months, 325 flights
Mar17.6%4.8–24.4%7 months, 359 flights
Apr16.0%6.5–31.8%7 months, 410 flights
May8.3%4.2–25.0%7 months, 393 flights
Jun20.9%10.2–41.9%7 months, 325 flights
Jul21.1%8.2–42.1%6 months, 292 flights
Aug20.0%12.5–34.3%6 months, 311 flights
Sep20.5%8.3–30.8%6 months, 335 flights
Oct23.6%7.0–31.6%6 months, 338 flights
Nov20.7%14.0–30.8%6 months, 300 flights
Dec33.6%15.7–56.4%6 months, 316 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: Norwegian Air Shuttle 7.4% of 27 movements — small sample, not ranked, Sas 15.5% of 502 movements, Norwegian Air Sweden Ab 27.5% of 40 movements — small sample, not ranked. 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 optionEasyjet Uk44.2% of 104 flightsNorwegian Air Shuttle †7.4% of 27 flightsNorwegian Air Shuttle Aoc As31.8% of 110 flightsNorwegian Air Sweden Ab †27.5% of 40 flightsSas15.5% of 502 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Uk10444.2% of 104 movements1.0% of 104 movements1.9% of 104 movementsdescriptive comparison
Enter Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gainjet Aviationsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Norwegian Air Shuttle277.4% of 27 movements — small sample, not rankedno events in 27 movements — small sample, not rankedno events in 27 movements — small sample, not rankedsmall sample; not ranked
Norwegian Air Shuttle Aoc As11031.8% of 110 movementsno events in 110 movementsno events in 110 movementsdescriptive comparison
Norwegian Air Sweden Ab4027.5% of 40 movements — small sample, not rankedno events in 40 movements — small sample, not rankedno events in 40 movements — small sample, not rankedsmall sample; not ranked
Ryanairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sas50215.5% of 502 movements1.8% of 502 movements0.2% of 502 movementsdescriptive comparison
Sun Air Of Scandinaviasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airwayssuppressed: 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, EDI had the lowest disruption share at 16.5% of 461 movements and STN the highest at 26.8% of 452 movements. This route sits at 22.6% of 801 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 optionEdi ↔ Oslo-Gardermoen16.5% of 461 flightsLgw ↔ Oslo-Gardermoen20.5% of 1,239 flightsLhr ↔ Oslo-Gardermoen16.5% of 2,646 flightsStn ↔ Oslo-Gardermoen26.8% of 452 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Oslo-Gardermoen46116.5% of 461 movements0.2% of 461 movements0.2% of 461 movementsdescriptive comparison
Ema ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Oslo-Gardermoen1,23920.5% of 1,239 movements0.8% of 1,239 movementsno events in 1,239 movementsdescriptive comparison
Lhr ↔ Oslo-Gardermoen2,64616.5% of 2,646 movements1.9% of 2,646 movements0.3% of 2,646 movementsdescriptive comparison
Lpl ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mme ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Oslo-Gardermoensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Oslo-Gardermoen45226.8% of 452 movementsno events in 452 movements0.7% of 452 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into MAN ran 22.6% of 801 movements disrupted, departures 30.3% of 804 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 MAN22.6% of 801 movements1.2% of 801 movements0.4% of 801 movements
Departures from MAN30.3% of 804 movements1.6% of 804 movements0.1% of 804 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 4,22815 × £220 = £3,300
ArrivalsLast 72 months · Jul 2020–Jun 202612 flights out of 2,98512 × £220 = £2,640
DeparturesWhole archive · Jan 2018–Jun 202615 flights out of 4,23615 × £220 = £3,300
DeparturesLast 72 months · Jul 2020–Jun 202613 flights out of 2,99313 × £220 = £2,860
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 / countryOSLO (GARDERMOEN) / NORWAY
Final point codesOSL / ENGM
Great-circle distance1,112 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.17
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 archive89

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: 801; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

22.6% of 801 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.2% of 801 movements in the same window.

How many delays crossed three hours?

0.4% of 801 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?

1,112 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

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