UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

BHD ↔ MANCHESTER

In the twelve months from July 2025 to June 2026, 29.9% of 1,621 movements arriving into BHD were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 70.1% of 1,621 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 90 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, 29.9% of 1,621 movements were disrupted and 2.3% of 1,621 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
29.9% of 1,621 movements2.3% of 1,621 movements28.7–62.4 min; N of delayed flights=446–9141,621
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: 2.3% of 1,621 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 min27.5%30 min15.2%60 min6.7%120 min2.4%180 min1.1%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min27.5% of 1,621 movements4463.6
>30 min15.2% of 1,621 movements2466.6
>60 min6.7% of 1,621 movements10815.0
>120 min2.4% of 1,621 movements3941.6
>180 min1.1% of 1,621 movements1890.1
>360 min0.1% of 1,621 movements11,621.0
Definitions, denominators and limits

CAA counts delays strictly greater than each threshold, so exactly three hours is inseparable from the previous bucket. The ladder describes the archive, not a forecast.

Slightly late, or occasionally a disaster?

This route runs late less often than most, but when it does go wrong it tends to go badly wrong: its long delays are heavier 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 early1056.5%15–1 early56434.8%0–15 late46828.9%16–3020012.3%31–601388.5%61…120694.3%121…180211.3%181…360171.0%>36010.1%D=1,621
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0533; 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 2021, no events in 60 movements. Worst month: Dec 2025, 49.7% of 143 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: 14.4%; sample: 1812018Feb 2018: 22.9%; sample: 179Mar 2018: 23.8%; sample: 202Apr 2018: 14.9%; sample: 194May 2018: 13.0%; sample: 200Jun 2018: 24.5%; sample: 196Jul 2018: 21.5%; sample: 200Aug 2018: 20.0%; sample: 200Sep 2018: 21.2%; sample: 193Oct 2018: 16.1%; sample: 192Nov 2018: 14.6%; sample: 178Dec 2018: 23.4%; sample: 171Jan 2019: 18.6%; sample: 1722019Feb 2019: 13.8%; sample: 160Mar 2019: 26.9%; sample: 186Apr 2019: 22.8%; sample: 197May 2019: 12.9%; sample: 202Jun 2019: 22.2%; sample: 194Jul 2019: 38.3%; sample: 206Aug 2019: 24.6%; sample: 203Sep 2019: 22.6%; sample: 190Oct 2019: 16.8%; sample: 197Nov 2019: 9.9%; sample: 191Dec 2019: 6.6%; sample: 181Jan 2020: 8.7%; sample: 1732020Feb 2020: 11.5%; sample: 183Mar 2020: 40.5%; sample: 37Apr 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: 6.1%; sample: 33Oct 2020: 4.9%; sample: 61Nov 2020: 0.0%; sample: 31Dec 2020: 15.3%; sample: 59Jan 2021: 0.0%; sample: 342021Feb 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: 0.0%; sample: 43Aug 2021: 3.2%; sample: 31Sep 2021: 3.3%; sample: 30Oct 2021: 0.0%; sample: 32Nov 2021: 0.0%; sample: 60Dec 2021: 6.7%; sample: 60Jan 2022: 4.9%; sample: 412022Feb 2022: 2.1%; sample: 47Mar 2022: 5.3%; sample: 57Apr 2022: 17.2%; sample: 29May 2022: 12.5%; sample: 40Jun 2022: 18.3%; sample: 82Jul 2022: 40.3%; sample: 149Aug 2022: 15.9%; sample: 132Sep 2022: 16.2%; sample: 111Oct 2022: 14.3%; sample: 119Nov 2022: 22.1%; sample: 163Dec 2022: 28.7%; sample: 136Jan 2023: 13.1%; sample: 1372023Feb 2023: 6.4%; sample: 109Mar 2023: 16.0%; sample: 125Apr 2023: 12.5%; sample: 144May 2023: 32.0%; sample: 122Jun 2023: 23.1%; sample: 108Jul 2023: 23.9%; sample: 134Aug 2023: 32.3%; sample: 127Sep 2023: 15.5%; sample: 129Oct 2023: 13.0%; sample: 138Nov 2023: 10.0%; sample: 130Dec 2023: 21.6%; sample: 167Jan 2024: 20.4%; sample: 1372024Feb 2024: 16.1%; sample: 149Mar 2024: 7.1%; sample: 155Apr 2024: 15.3%; sample: 131May 2024: 5.8%; sample: 137Jun 2024: 18.3%; sample: 131Jul 2024: 21.8%; sample: 133Aug 2024: 9.8%; sample: 133Sep 2024: 11.6%; sample: 129Oct 2024: 11.3%; sample: 124Nov 2024: 15.0%; sample: 113Dec 2024: 27.8%; sample: 115Jan 2025: 25.9%; sample: 1122025Feb 2025: 6.4%; sample: 110Mar 2025: 5.6%; sample: 124Apr 2025: 17.9%; sample: 106May 2025: 9.0%; sample: 133Jun 2025: 22.8%; sample: 127Jul 2025: 35.4%; sample: 130Aug 2025: 23.5%; sample: 115Sep 2025: 39.5%; sample: 114Oct 2025: 38.8%; sample: 116Nov 2025: 32.1%; sample: 131Dec 2025: 49.7%; sample: 143Jan 2026: 26.8%; sample: 1382026Feb 2026: 24.6%; sample: 134Mar 2026: 19.5%; sample: 149Apr 2026: 17.9%; sample: 151May 2026: 27.0%; sample: 152Jun 2026: 27.7%; sample: 148Pandemic 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 201814.4% of 181 movements
Feb 201822.9% of 179 movements
Mar 201823.8% of 202 movements
Apr 201814.9% of 194 movements
May 201813.0% of 200 movements
Jun 201824.5% of 196 movements
Jul 201821.5% of 200 movements
Aug 201820.0% of 200 movements
Sep 201821.2% of 193 movements
Oct 201816.1% of 192 movements
Nov 201814.6% of 178 movements
Dec 201823.4% of 171 movements
Jan 201918.6% of 172 movements
Feb 201913.8% of 160 movements
Mar 201926.9% of 186 movements
Apr 201922.8% of 197 movements
May 201912.9% of 202 movements
Jun 201922.2% of 194 movements
Jul 201938.3% of 206 movements
Aug 201924.6% of 203 movements
Sep 201922.6% of 190 movements
Oct 201916.8% of 197 movements
Nov 20199.9% of 191 movements
Dec 20196.6% of 181 movements
Jan 20208.7% of 173 movements
Feb 202011.5% of 183 movements
Mar 202040.5% of 37 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 20206.1% of 33 movements — small sample, not ranked
Oct 20204.9% of 61 movements
Nov 2020no events in 31 movements — small sample, not ranked
Dec 202015.3% of 59 movements
Jan 2021no events in 34 movements — small sample, not ranked
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 2021no events in 43 movements — small sample, not ranked
Aug 20213.2% of 31 movements — small sample, not ranked
Sep 20213.3% of 30 movements — small sample, not ranked
Oct 2021no events in 32 movements — small sample, not ranked
Nov 2021no events in 60 movements
Dec 20216.7% of 60 movements
Jan 20224.9% of 41 movements — small sample, not ranked
Feb 20222.1% of 47 movements — small sample, not ranked
Mar 20225.3% of 57 movements
Apr 202217.2% of 29 movements — small sample, not ranked
May 202212.5% of 40 movements — small sample, not ranked
Jun 202218.3% of 82 movements
Jul 202240.3% of 149 movements
Aug 202215.9% of 132 movements
Sep 202216.2% of 111 movements
Oct 202214.3% of 119 movements
Nov 202222.1% of 163 movements
Dec 202228.7% of 136 movements
Jan 202313.1% of 137 movements
Feb 20236.4% of 109 movements
Mar 202316.0% of 125 movements
Apr 202312.5% of 144 movements
May 202332.0% of 122 movements
Jun 202323.1% of 108 movements
Jul 202323.9% of 134 movements
Aug 202332.3% of 127 movements
Sep 202315.5% of 129 movements
Oct 202313.0% of 138 movements
Nov 202310.0% of 130 movements
Dec 202321.6% of 167 movements
Jan 202420.4% of 137 movements
Feb 202416.1% of 149 movements
Mar 20247.1% of 155 movements
Apr 202415.3% of 131 movements
May 20245.8% of 137 movements
Jun 202418.3% of 131 movements
Jul 202421.8% of 133 movements
Aug 20249.8% of 133 movements
Sep 202411.6% of 129 movements
Oct 202411.3% of 124 movements
Nov 202415.0% of 113 movements
Dec 202427.8% of 115 movements
Jan 202525.9% of 112 movements
Feb 20256.4% of 110 movements
Mar 20255.6% of 124 movements
Apr 202517.9% of 106 movements
May 20259.0% of 133 movements
Jun 202522.8% of 127 movements
Jul 202535.4% of 130 movements
Aug 202523.5% of 115 movements
Sep 202539.5% of 114 movements
Oct 202538.8% of 116 movements
Nov 202532.1% of 131 movements
Dec 202549.7% of 143 movements
Jan 202626.8% of 138 movements
Feb 202624.6% of 134 movements
Mar 202619.5% of 149 movements
Apr 202617.9% of 151 movements
May 202627.0% of 152 movements
Jun 202627.7% of 148 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 2022Arrivals40.3% of 149 movements6.1% across 552 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures16.1% of 149 movements7.3% across 554 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals32.3% of 127 movements18.7% across 1,540 flightsreturned the next month
NATS system failure · Aug 2023Departures32.3% of 127 movements20.6% across 1,544 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals5.6% of 124 movements14.7% across 1,523 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Departures8.1% of 124 movements17.4% across 1,532 flightsreturned after 2 months
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, 29.6% of arrivals were disrupted, measured across 6 Julys in the archive. May has been the calmest, at 12.9% across 7 Mays.

Even July has ranged from 21.5% to 40.3% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201918.6% of 172 movements13.8% of 160 movements26.9% of 186 movements22.8% of 197 movements12.9% of 202 movements22.2% of 194 movements38.3% of 206 movements24.6% of 203 movements22.6% of 190 movements16.8% of 197 movements9.9% of 191 movements6.6% of 181 movements20208.7% of 173 movements11.5% of 183 movements40.5% of 37 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements6.1% of 33 movements †4.9% of 61 movementsno events in 31 movements †15.3% of 59 movements2021no events in 34 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 43 movements †3.2% of 31 movements †3.3% of 30 movements †no events in 32 movements †no events in 60 movements6.7% of 60 movements20224.9% of 41 movements †2.1% of 47 movements †5.3% of 57 movements17.2% of 29 movements †12.5% of 40 movements †18.3% of 82 movements40.3% of 149 movements15.9% of 132 movements16.2% of 111 movements14.3% of 119 movements22.1% of 163 movements28.7% of 136 movements202313.1% of 137 movements6.4% of 109 movements16.0% of 125 movements12.5% of 144 movements32.0% of 122 movements23.1% of 108 movements23.9% of 134 movements32.3% of 127 movements15.5% of 129 movements13.0% of 138 movements10.0% of 130 movements21.6% of 167 movements202420.4% of 137 movements16.1% of 149 movements7.1% of 155 movements15.3% of 131 movements5.8% of 137 movements18.3% of 131 movements21.8% of 133 movements9.8% of 133 movements11.6% of 129 movements11.3% of 124 movements15.0% of 113 movements27.8% of 115 movements202525.9% of 112 movements6.4% of 110 movements5.6% of 124 movements17.9% of 106 movements9.0% of 133 movements22.8% of 127 movements35.4% of 130 movements23.5% of 115 movements39.5% of 114 movements38.8% of 116 movements32.1% of 131 movements49.7% of 143 movements202626.8% of 138 movements24.6% of 134 movements19.5% of 149 movements17.9% of 151 movements27.0% of 152 movements27.7% of 148 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan18.6%4.9–26.8%7 months, 918 flights
Feb13.8%2.1–24.6%7 months, 888 flights
Mar16.0%5.3–26.9%7 months, 998 flights
Apr17.2%12.5–22.8%7 months, 952 flights
May12.9%5.8–32.0%7 months, 986 flights
Jun22.8%18.3–27.7%7 months, 986 flights
Jul29.6%21.5–40.3%6 months, 952 flights
Aug21.7%9.8–32.3%6 months, 910 flights
Sep18.7%11.6–39.5%6 months, 866 flights
Oct15.2%11.3–38.8%6 months, 886 flights
Nov14.8%9.9–32.1%6 months, 906 flights
Dec25.6%6.6–49.7%6 months, 913 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: Emerald Airlines Uk 28.3% of 1,281 movements, Easyjet Uk 30.9% of 291 movements, Emerald Airlines (Ireland) 61.7% of 47 movements — small sample, not ranked. The gap between them sits inside sampling noise.

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 Uk30.9% of 291 flightsEmerald Airlines (Ireland) †61.7% of 47 flightsEmerald Airlines Uk28.3% of 1,281 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aer Lingussuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ba Cityflyersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Eastern Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk29130.9% of 291 movements0.7% of 291 movementsno events in 291 movementsdescriptive comparison
Emerald Airlines (Ireland)4761.7% of 47 movements — small sample, not ranked2.1% of 47 movements — small sample, not ranked8.5% of 47 movements — small sample, not rankedsmall sample; not ranked
Emerald Airlines Uk1,28128.3% of 1,281 movements2.7% of 1,281 movements0.9% of 1,281 movementsdescriptive comparison
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stobart Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sun Air Of Scandinaviasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tag Aviation (Uk)suppressed: 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, IOM had the lowest disruption share at 26.6% of 891 movements and JER the highest at 42.8% of 269 movements. This route sits at 29.9% of 1,621 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 optionAbz ↔ Manchester30.4% of 740 flightsBfs ↔ Manchester27.1% of 1,984 flightsExt ↔ Manchester28.9% of 180 flightsIom ↔ Manchester26.6% of 891 flightsJer ↔ Manchester42.8% of 269 flightsLhr ↔ Manchester32.5% of 2,567 flightsSou ↔ Manchester33.8% of 293 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Manchester74030.4% of 740 movements2.7% of 740 movements1.1% of 740 movementsdescriptive comparison
Bfs ↔ Manchester1,98427.1% of 1,984 movements0.6% of 1,984 movements0.5% of 1,984 movementsdescriptive comparison
Bhx ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Manchester18028.9% of 180 movements1.7% of 180 movementsno events in 180 movementsdescriptive comparison
Gla ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ Manchester89126.6% of 891 movements2.2% of 891 movements1.1% of 891 movementsdescriptive comparison
Jer ↔ Manchester26942.8% of 269 movements1.5% of 269 movements1.5% of 269 movementsdescriptive comparison
Lba ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Manchester2,56732.5% of 2,567 movements0.7% of 2,567 movements0.2% of 2,567 movementsdescriptive comparison
Lpl ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mme ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Manchester29333.8% of 293 movements1.0% of 293 movements0.7% of 293 movementsdescriptive comparison
Stn ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Yes: arrivals into BHD ran 29.9% of 1,621 movements disrupted, departures 25.6% of 1,624 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 BHD29.9% of 1,621 movements2.3% of 1,621 movements1.1% of 1,621 movements
Departures from BHD25.6% of 1,624 movements2.1% of 1,624 movements1.1% of 1,624 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 202650 flights out of 12,10450 × £220 = £11,000
ArrivalsLast 72 months · Jul 2020–Jun 202640 flights out of 7,14640 × £220 = £8,800
DeparturesWhole archive · Jan 2018–Jun 202646 flights out of 12,11946 × £220 = £10,120
DeparturesLast 72 months · Jul 2020–Jun 202640 flights out of 7,15940 × £220 = £8,800
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 airportBELFAST CITY (GEORGE BEST) · BHD
Final point / countryMANCHESTER / UNITED KINGDOM
Final point codesMAN / EGCC
Great-circle distance274 km
Maximum statutory amount for the band£220
Average operated arrivals per day4.34
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 archive97

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: 1,621; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

29.9% of 1,621 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.3% of 1,621 movements in the same window.

How many delays crossed three hours?

1.1% of 1,621 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

rare but severe. The class compares the tail with short delays across routes in the corpus.

What distance is used?

274 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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