UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

MAN ↔ BUDAPEST

In the twelve months from July 2025 to June 2026, 30.1% of 652 movements arriving into MAN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 69.9% of 652 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: no such event in this sample, which does not mean zero risk crossed the three-hour mark. Lower is better on every figure on this page. These numbers describe what happened on the route; they are not a prediction for any individual flight.

Definitions, denominators and limits
  • “Disrupted” means an arrival more than fifteen minutes late or a short-notice cancellation. The denominator is operated movements plus short-notice cancellations.
  • Arrivals into the UK airport only; all published carriers.
  • Crossing three hours is one condition for compensation, but monthly data cannot establish any individual passenger’s rights.
  • Delay cause is not published in the open data.
  • Source: CAA punctuality statistics · snapshot 17/08/2026 10:24 · method route-record-v2.1.

0 operations (0.00%) excluded because their published percentages could not be reconciled to whole numbers. Excluded operations enter neither the numerator nor the denominator. Outcome figures and comparisons are unavailable when the excluded share exceeds fifteen percent.

The four numbers at a glance

In the twelve months from July 2025 to June 2026, 30.1% of 652 movements were disrupted and 0.2% of 652 movements were cancelled at short notice.

When a flight was late, it was typically late by the range shown below. The delay is given as a range, not a single number, because the regulator rounds its published percentages and never says how many flights landed exactly on time.

Disruption shareShort-notice cancellationsAverage delay among delayed flights only — boundsOperations
30.1% of 652 movements0.2% of 652 movements29.2–56.9 min; N of delayed flights=195–358652
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: 0.2% of 652 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 min29.9%30 min18.1%60 min9.5%120 min1.5%180 min0.0%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min29.9% of 652 movements1953.3
>30 min18.1% of 652 movements1185.5
>60 min9.5% of 652 movements6210.5
>120 min1.5% of 652 movements1065.2
>180 minno events in 652 movements0no observed events, which is not zero risk
>360 minno events in 652 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 early8312.7%15–1 early21032.2%0–15 late16325.0%16–307711.8%31–60568.6%61…120528.0%121…180101.5%181…36000.0%>36000.0%D=652
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0000; 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: Feb 2025, 5.8% of 52 movements. Worst month: Jan 2025, 35.8% of 53 movements.

The line traces every month in the archive; lower is better. Gaps are months with no published data, never zeros. The 2020 and 2021 readings reflect the pandemic, not normal service.

Monthly disruption share; gaps mean no published dataJan 2018: 35.3%; sample: 342018Feb 2018: 23.5%; sample: 34Mar 2018: 20.5%; sample: 39Apr 2018: 14.3%; sample: 35May 2018: 28.6%; sample: 35Jun 2018: 38.2%; sample: 34Jul 2018: 33.3%; sample: 36Aug 2018: 40.0%; sample: 35Sep 2018: 30.6%; sample: 36Oct 2018: 17.1%; sample: 35Nov 2018: 6.4%; sample: 47Dec 2018: 26.1%; sample: 46Jan 2019: 27.9%; sample: 432019Feb 2019: 16.7%; sample: 42Mar 2019: 18.4%; sample: 49Apr 2019: 4.7%; sample: 43May 2019: 20.5%; sample: 44Jun 2019: 20.9%; sample: 43Jul 2019: 25.6%; sample: 43Aug 2019: 20.4%; sample: 49Sep 2019: 29.4%; sample: 51Oct 2019: 17.3%; sample: 52Nov 2019: 13.0%; sample: 54Dec 2019: 16.1%; sample: 56Jan 2020: 22.0%; sample: 502020Feb 2020: 22.0%; sample: 50Mar 2020: 7.9%; sample: 38Apr 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: 4.5%; sample: 22Sep 2020: 4.5%; sample: 22Oct 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: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: suppressed: fewer than twenty movements×Oct 2021: suppressed: fewer than twenty movements×Nov 2021: 10.3%; sample: 29Dec 2021: 20.0%; sample: 30Jan 2022: 15.4%; sample: 262022Feb 2022: 26.9%; sample: 26Mar 2022: 10.0%; sample: 40Apr 2022: 28.3%; sample: 46May 2022: 53.3%; sample: 45Jun 2022: 60.5%; sample: 43Jul 2022: 62.1%; sample: 29Aug 2022: 50.0%; sample: 26Sep 2022: 45.5%; sample: 33Oct 2022: 45.7%; sample: 35Nov 2022: 18.4%; sample: 38Dec 2022: 38.5%; sample: 39Jan 2023: 25.8%; sample: 312023Feb 2023: 20.6%; sample: 34Mar 2023: 20.0%; sample: 40Apr 2023: 11.8%; sample: 34May 2023: 20.6%; sample: 34Jun 2023: 36.1%; sample: 36Jul 2023: 36.4%; sample: 33Aug 2023: 37.0%; sample: 27Sep 2023: 32.4%; sample: 34Oct 2023: 32.4%; sample: 37Nov 2023: 14.0%; sample: 43Dec 2023: 44.9%; sample: 49Jan 2024: 30.2%; sample: 432024Feb 2024: 22.5%; sample: 40Mar 2024: 6.8%; sample: 44Apr 2024: 16.3%; sample: 43May 2024: 33.3%; sample: 45Jun 2024: 36.6%; sample: 41Jul 2024: 50.0%; sample: 40Aug 2024: 36.1%; sample: 36Sep 2024: 35.7%; sample: 42Oct 2024: 12.5%; sample: 48Nov 2024: 23.6%; sample: 55Dec 2024: 30.3%; sample: 66Jan 2025: 35.8%; sample: 532025Feb 2025: 5.8%; sample: 52Mar 2025: 6.9%; sample: 58Apr 2025: 16.7%; sample: 54May 2025: 34.0%; sample: 50Jun 2025: 34.1%; sample: 44Jul 2025: 44.2%; sample: 43Aug 2025: 43.2%; sample: 44Sep 2025: 50.0%; sample: 44Oct 2025: 34.5%; sample: 55Nov 2025: 20.3%; sample: 69Dec 2025: 24.7%; sample: 73Jan 2026: 44.4%; sample: 452026Feb 2026: 24.6%; sample: 61Mar 2026: 10.8%; sample: 74Apr 2026: 19.6%; sample: 51May 2026: 28.6%; sample: 49Jun 2026: 40.9%; sample: 44Pandemic 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 201835.3% of 34 movements — small sample, not ranked
Feb 201823.5% of 34 movements — small sample, not ranked
Mar 201820.5% of 39 movements — small sample, not ranked
Apr 201814.3% of 35 movements — small sample, not ranked
May 201828.6% of 35 movements — small sample, not ranked
Jun 201838.2% of 34 movements — small sample, not ranked
Jul 201833.3% of 36 movements — small sample, not ranked
Aug 201840.0% of 35 movements — small sample, not ranked
Sep 201830.6% of 36 movements — small sample, not ranked
Oct 201817.1% of 35 movements — small sample, not ranked
Nov 20186.4% of 47 movements — small sample, not ranked
Dec 201826.1% of 46 movements — small sample, not ranked
Jan 201927.9% of 43 movements — small sample, not ranked
Feb 201916.7% of 42 movements — small sample, not ranked
Mar 201918.4% of 49 movements — small sample, not ranked
Apr 20194.7% of 43 movements — small sample, not ranked
May 201920.5% of 44 movements — small sample, not ranked
Jun 201920.9% of 43 movements — small sample, not ranked
Jul 201925.6% of 43 movements — small sample, not ranked
Aug 201920.4% of 49 movements — small sample, not ranked
Sep 201929.4% of 51 movements
Oct 201917.3% of 52 movements
Nov 201913.0% of 54 movements
Dec 201916.1% of 56 movements
Jan 202022.0% of 50 movements
Feb 202022.0% of 50 movements
Mar 20207.9% of 38 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 20204.5% of 22 movements — small sample, not ranked
Sep 20204.5% of 22 movements — small sample, not ranked
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 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 2021suppressed: fewer than twenty movements
Oct 2021suppressed: fewer than twenty movements
Nov 202110.3% of 29 movements — small sample, not ranked
Dec 202120.0% of 30 movements — small sample, not ranked
Jan 202215.4% of 26 movements — small sample, not ranked
Feb 202226.9% of 26 movements — small sample, not ranked
Mar 202210.0% of 40 movements — small sample, not ranked
Apr 202228.3% of 46 movements — small sample, not ranked
May 202253.3% of 45 movements — small sample, not ranked
Jun 202260.5% of 43 movements — small sample, not ranked
Jul 202262.1% of 29 movements — small sample, not ranked
Aug 202250.0% of 26 movements — small sample, not ranked
Sep 202245.5% of 33 movements — small sample, not ranked
Oct 202245.7% of 35 movements — small sample, not ranked
Nov 202218.4% of 38 movements — small sample, not ranked
Dec 202238.5% of 39 movements — small sample, not ranked
Jan 202325.8% of 31 movements — small sample, not ranked
Feb 202320.6% of 34 movements — small sample, not ranked
Mar 202320.0% of 40 movements — small sample, not ranked
Apr 202311.8% of 34 movements — small sample, not ranked
May 202320.6% of 34 movements — small sample, not ranked
Jun 202336.1% of 36 movements — small sample, not ranked
Jul 202336.4% of 33 movements — small sample, not ranked
Aug 202337.0% of 27 movements — small sample, not ranked
Sep 202332.4% of 34 movements — small sample, not ranked
Oct 202332.4% of 37 movements — small sample, not ranked
Nov 202314.0% of 43 movements — small sample, not ranked
Dec 202344.9% of 49 movements — small sample, not ranked
Jan 202430.2% of 43 movements — small sample, not ranked
Feb 202422.5% of 40 movements — small sample, not ranked
Mar 20246.8% of 44 movements — small sample, not ranked
Apr 202416.3% of 43 movements — small sample, not ranked
May 202433.3% of 45 movements — small sample, not ranked
Jun 202436.6% of 41 movements — small sample, not ranked
Jul 202450.0% of 40 movements — small sample, not ranked
Aug 202436.1% of 36 movements — small sample, not ranked
Sep 202435.7% of 42 movements — small sample, not ranked
Oct 202412.5% of 48 movements — small sample, not ranked
Nov 202423.6% of 55 movements
Dec 202430.3% of 66 movements
Jan 202535.8% of 53 movements
Feb 20255.8% of 52 movements
Mar 20256.9% of 58 movements
Apr 202516.7% of 54 movements
May 202534.0% of 50 movements
Jun 202534.1% of 44 movements — small sample, not ranked
Jul 202544.2% of 43 movements — small sample, not ranked
Aug 202543.2% of 44 movements — small sample, not ranked
Sep 202550.0% of 44 movements — small sample, not ranked
Oct 202534.5% of 55 movements
Nov 202520.3% of 69 movements
Dec 202524.7% of 73 movements
Jan 202644.4% of 45 movements — small sample, not ranked
Feb 202624.6% of 61 movements
Mar 202610.8% of 74 movements
Apr 202619.6% of 51 movements
May 202628.6% of 49 movements — small sample, not ranked
Jun 202640.9% of 44 movements — small sample, not ranked

What did the big disruptions actually do here?

Each named event below is shown against this route’s own baseline for the twelve months before it, and against how long the route took to get back to that baseline.

A month worse than baseline is not proof the named event caused it: the open data carry no delay-cause field at all. Some events sit near the edge of the archive, which limits how long a recovery can be traced.

EventDirectionDisruption that monthBaseline beforeReturn to baseline
Pandemic regime · Jun 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 2022Arrivals62.1% of 29 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures89.7% of 29 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals37.0% of 27 movements — small sample, not ranked30.8% across 413 flightsreturned after 3 months
NATS system failure · Aug 2023Departures59.3% of 27 movements — small sample, not ranked39.9% across 414 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals6.9% of 58 movements26.9% across 565 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures12.1% of 58 movements34.1% across 565 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?

July has historically been the hardest month on this route: in a typical July, 40.3% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 10.8% across 7 Marchs.

Even July has ranged from 25.6% to 62.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201927.9% of 43 movements †16.7% of 42 movements †18.4% of 49 movements †4.7% of 43 movements †20.5% of 44 movements †20.9% of 43 movements †25.6% of 43 movements †20.4% of 49 movements †29.4% of 51 movements17.3% of 52 movements13.0% of 54 movements16.1% of 56 movements202022.0% of 50 movements22.0% of 50 movements7.9% of 38 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements4.5% of 22 movements †4.5% of 22 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: 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 movementssuppressed: fewer than twenty movements10.3% of 29 movements †20.0% of 30 movements †202215.4% of 26 movements †26.9% of 26 movements †10.0% of 40 movements †28.3% of 46 movements †53.3% of 45 movements †60.5% of 43 movements †62.1% of 29 movements †50.0% of 26 movements †45.5% of 33 movements †45.7% of 35 movements †18.4% of 38 movements †38.5% of 39 movements †202325.8% of 31 movements †20.6% of 34 movements †20.0% of 40 movements †11.8% of 34 movements †20.6% of 34 movements †36.1% of 36 movements †36.4% of 33 movements †37.0% of 27 movements †32.4% of 34 movements †32.4% of 37 movements †14.0% of 43 movements †44.9% of 49 movements †202430.2% of 43 movements †22.5% of 40 movements †6.8% of 44 movements †16.3% of 43 movements †33.3% of 45 movements †36.6% of 41 movements †50.0% of 40 movements †36.1% of 36 movements †35.7% of 42 movements †12.5% of 48 movements †23.6% of 55 movements30.3% of 66 movements202535.8% of 53 movements5.8% of 52 movements6.9% of 58 movements16.7% of 54 movements34.0% of 50 movements34.1% of 44 movements †44.2% of 43 movements †43.2% of 44 movements †50.0% of 44 movements †34.5% of 55 movements20.3% of 69 movements24.7% of 73 movements202644.4% of 45 movements †24.6% of 61 movements10.8% of 74 movements19.6% of 51 movements28.6% of 49 movements †40.9% of 44 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan30.2%15.4–44.4%7 months, 275 flights
Feb22.5%5.8–26.9%7 months, 289 flights
Mar10.8%6.8–20.5%7 months, 344 flights
Apr16.3%4.7–28.3%7 months, 306 flights
May28.6%20.5–53.3%7 months, 302 flights
Jun36.6%20.9–60.5%7 months, 285 flights
Jul40.3%25.6–62.1%6 months, 224 flights
Aug38.5%20.4–50.0%6 months, 217 flights
Sep34.0%29.4–50.0%6 months, 240 flights
Oct24.9%12.5–45.7%6 months, 262 flights
Nov16.2%6.4–23.6%6 months, 306 flights
Dec28.2%16.1–44.9%6 months, 329 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: Ryanair 24.2% of 425 movements, Tui Airways 25.8% of 31 movements — small sample, not ranked, Jet2.Com 42.9% of 161 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 optionJet2.Com42.9% of 161 flightsRyanair24.2% of 425 flightsRyanair Uk †45.7% of 35 flightsTui Airways †25.8% of 31 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Com16142.9% of 161 movements0.6% of 161 movementsno events in 161 movementsdescriptive comparison
Lot-Polish Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair42524.2% of 425 movementsno events in 425 movementsno events in 425 movementsdescriptive comparison
Ryanair Uk3545.7% of 35 movements — small sample, not rankedno events in 35 movements — small sample, not rankedno events in 35 movements — small sample, not rankedsmall sample; not ranked
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airways3125.8% of 31 movements — small sample, not rankedno events in 31 movements — small sample, not rankedno events in 31 movements — small sample, not rankedsmall sample; not ranked

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, EMA had the lowest disruption share at 10.8% of 111 movements and BFS the highest at 38.9% of 95 movements. This route sits at 30.1% of 652 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 optionBfs ↔ Budapest38.9% of 95 flightsBhx ↔ Budapest23.1% of 351 flightsBrs ↔ Budapest30.0% of 293 flightsEdi ↔ Budapest21.9% of 379 flightsEma ↔ Budapest10.8% of 111 flightsGla ↔ Budapest †32.7% of 49 flightsLba ↔ Budapest22.1% of 68 flightsLgw ↔ Budapest28.1% of 730 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Budapest9538.9% of 95 movementsno events in 95 movements2.1% of 95 movementsdescriptive comparison
Bhd ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Budapest35123.1% of 351 movementsno events in 351 movements0.9% of 351 movementsdescriptive comparison
Boh ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Budapest29330.0% of 293 movementsno events in 293 movementsno events in 293 movementsdescriptive comparison
Cwl ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Budapest37921.9% of 379 movements0.5% of 379 movements0.3% of 379 movementsdescriptive comparison
Ema ↔ Budapest11110.8% of 111 movementsno events in 111 movements0.9% of 111 movementsdescriptive comparison
Gla ↔ Budapest4932.7% of 49 movements — small sample, not rankedno events in 49 movements — small sample, not ranked2.0% of 49 movements — small sample, not rankedsmall sample; not ranked
Lba ↔ Budapest6822.1% of 68 movementsno events in 68 movementsno events in 68 movementsdescriptive comparison
Lcy ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Budapest73028.1% of 730 movements0.1% of 730 movements0.4% of 730 movementsdescriptive comparison
Lhr ↔ Budapest1,31020.2% of 1,310 movements0.9% of 1,310 movements0.5% of 1,310 movementsdescriptive comparison
Lpl ↔ Budapest13810.9% of 138 movementsno events in 138 movementsno events in 138 movementsdescriptive comparison
Ltn ↔ Budapest1,06219.8% of 1,062 movements0.1% of 1,062 movements0.2% of 1,062 movementsdescriptive comparison
Ncl ↔ Budapest12912.4% of 129 movementsno events in 129 movementsno events in 129 movementsdescriptive comparison
Sen ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Budapest1,34920.5% of 1,349 movements0.2% of 1,349 movements0.1% of 1,349 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into MAN ran 30.1% of 652 movements disrupted, departures 35.1% of 650 movements.

It matters legally as well as practically: a departure from the UK and an arrival into the UK on a UK or EU carrier fall under different conditions, and a departure delay does not establish a late arrival at your final destination.

Arrivals and departures side by side
DirectionDisruptionCancellationsOver three hours
Arrivals into MAN30.1% of 652 movements0.2% of 652 movementsno events in 652 movements
Departures from MAN35.1% of 650 movementsno events in 650 movements0.2% of 650 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 202630 flights out of 3,75730 × £350 = £10,500
ArrivalsLast 72 months · Jul 2020–Jun 202620 flights out of 2,60120 × £350 = £7,000
DeparturesWhole archive · Jan 2018–Jun 202632 flights out of 3,74932 × £350 = £11,200
DeparturesLast 72 months · Jul 2020–Jun 202626 flights out of 2,59626 × £350 = £9,100
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 / countryBUDAPEST / HUNGARY
Final point codesBUD / LHBP
Great-circle distance1,655 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.78
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 archive100

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: 652; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

30.1% of 652 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.2% of 652 movements in the same window.

How many delays crossed three hours?

no events in 652 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?

1,655 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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