UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

BHX ↔ BELFAST CITY GEORGE BEST

In the twelve months from July 2025 to June 2026, 22.7% of 2,005 movements arriving into BHX were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 77.3% of 2,005 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 106 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, 22.7% of 2,005 movements were disrupted and 3.7% of 2,005 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
22.7% of 2,005 movements3.7% of 2,005 movements31.4–69.9 min; N of delayed flights=381–7862,005
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: 3.7% of 2,005 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 min19.0%30 min12.7%60 min6.5%120 min2.0%180 min0.9%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min19.0% of 2,005 movements3815.3
>30 min12.7% of 2,005 movements2547.9
>60 min6.5% of 2,005 movements13115.3
>120 min2.0% of 2,005 movements4050.1
>180 min0.9% of 2,005 movements19105.5
>360 minno events in 2,005 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?

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 early32016.0%15–1 early82441.1%0–15 late40520.2%16–301276.3%31–601236.1%61…120914.5%121…180211.0%181…360190.9%>36000.0%D=2,005
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0760; 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: Jan 2020, 3.8% of 160 movements. Worst month: Mar 2020, 67.2% of 61 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: 9.1%; sample: 1542018Feb 2018: 5.3%; sample: 171Mar 2018: 28.6%; sample: 196Apr 2018: 17.4%; sample: 195May 2018: 14.6%; sample: 206Jun 2018: 23.4%; sample: 192Jul 2018: 22.1%; sample: 195Aug 2018: 18.9%; sample: 196Sep 2018: 24.2%; sample: 186Oct 2018: 16.7%; sample: 198Nov 2018: 20.1%; sample: 179Dec 2018: 19.8%; sample: 167Jan 2019: 9.4%; sample: 1702019Feb 2019: 11.7%; sample: 171Mar 2019: 17.5%; sample: 189Apr 2019: 12.9%; sample: 186May 2019: 11.2%; sample: 197Jun 2019: 16.8%; sample: 185Jul 2019: 26.5%; sample: 200Aug 2019: 22.3%; sample: 193Sep 2019: 15.1%; sample: 179Oct 2019: 4.8%; sample: 187Nov 2019: 6.1%; sample: 164Dec 2019: 9.0%; sample: 155Jan 2020: 3.8%; sample: 1602020Feb 2020: 7.7%; sample: 156Mar 2020: 67.2%; sample: 61Apr 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: 14.7%; sample: 34Oct 2020: 3.9%; sample: 51Nov 2020: 0.0%; sample: 30Dec 2020: 5.6%; sample: 54Jan 2021: 2.9%; sample: 352021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: 5.0%; sample: 20Jun 2021: 26.9%; sample: 52Jul 2021: 8.8%; sample: 34Aug 2021: 3.2%; sample: 31Sep 2021: 0.0%; sample: 30Oct 2021: 0.0%; sample: 31Nov 2021: 4.5%; sample: 44Dec 2021: 4.9%; sample: 41Jan 2022: 3.4%; sample: 292022Feb 2022: 28.6%; sample: 28Mar 2022: 17.4%; sample: 23Apr 2022: 6.7%; sample: 30May 2022: 27.1%; sample: 118Jun 2022: 30.0%; sample: 160Jul 2022: 18.9%; sample: 180Aug 2022: 19.3%; sample: 202Sep 2022: 15.8%; sample: 190Oct 2022: 12.2%; sample: 181Nov 2022: 19.0%; sample: 142Dec 2022: 19.3%; sample: 150Jan 2023: 18.4%; sample: 1742023Feb 2023: 9.7%; sample: 103Mar 2023: 17.2%; sample: 116Apr 2023: 22.0%; sample: 118May 2023: 26.1%; sample: 115Jun 2023: 18.5%; sample: 108Jul 2023: 21.4%; sample: 112Aug 2023: 36.7%; sample: 109Sep 2023: 23.4%; sample: 107Oct 2023: 21.7%; sample: 115Nov 2023: 15.7%; sample: 127Dec 2023: 25.4%; sample: 122Jan 2024: 25.6%; sample: 1292024Feb 2024: 14.2%; sample: 120Mar 2024: 16.4%; sample: 146Apr 2024: 26.1%; sample: 165May 2024: 10.8%; sample: 167Jun 2024: 18.6%; sample: 145Jul 2024: 10.6%; sample: 151Aug 2024: 6.8%; sample: 146Sep 2024: 22.8%; sample: 145Oct 2024: 12.3%; sample: 146Nov 2024: 15.2%; sample: 145Dec 2024: 35.4%; sample: 147Jan 2025: 28.8%; sample: 1532025Feb 2025: 14.8%; sample: 115Mar 2025: 4.8%; sample: 126Apr 2025: 15.5%; sample: 168May 2025: 14.0%; sample: 172Jun 2025: 34.1%; sample: 167Jul 2025: 38.2%; sample: 170Aug 2025: 36.8%; sample: 144Sep 2025: 28.3%; sample: 138Oct 2025: 24.5%; sample: 139Nov 2025: 16.1%; sample: 155Dec 2025: 31.1%; sample: 167Jan 2026: 23.1%; sample: 1822026Feb 2026: 11.1%; sample: 162Mar 2026: 19.6%; sample: 184Apr 2026: 10.8%; sample: 194May 2026: 17.7%; sample: 198Jun 2026: 20.9%; sample: 172Pandemic 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 20189.1% of 154 movements
Feb 20185.3% of 171 movements
Mar 201828.6% of 196 movements
Apr 201817.4% of 195 movements
May 201814.6% of 206 movements
Jun 201823.4% of 192 movements
Jul 201822.1% of 195 movements
Aug 201818.9% of 196 movements
Sep 201824.2% of 186 movements
Oct 201816.7% of 198 movements
Nov 201820.1% of 179 movements
Dec 201819.8% of 167 movements
Jan 20199.4% of 170 movements
Feb 201911.7% of 171 movements
Mar 201917.5% of 189 movements
Apr 201912.9% of 186 movements
May 201911.2% of 197 movements
Jun 201916.8% of 185 movements
Jul 201926.5% of 200 movements
Aug 201922.3% of 193 movements
Sep 201915.1% of 179 movements
Oct 20194.8% of 187 movements
Nov 20196.1% of 164 movements
Dec 20199.0% of 155 movements
Jan 20203.8% of 160 movements
Feb 20207.7% of 156 movements
Mar 202067.2% of 61 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 2020suppressed: fewer than twenty movements
Sep 202014.7% of 34 movements — small sample, not ranked
Oct 20203.9% of 51 movements
Nov 2020no events in 30 movements — small sample, not ranked
Dec 20205.6% of 54 movements
Jan 20212.9% of 35 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 20215.0% of 20 movements — small sample, not ranked
Jun 202126.9% of 52 movements
Jul 20218.8% of 34 movements — small sample, not ranked
Aug 20213.2% of 31 movements — small sample, not ranked
Sep 2021no events in 30 movements — small sample, not ranked
Oct 2021no events in 31 movements — small sample, not ranked
Nov 20214.5% of 44 movements — small sample, not ranked
Dec 20214.9% of 41 movements — small sample, not ranked
Jan 20223.4% of 29 movements — small sample, not ranked
Feb 202228.6% of 28 movements — small sample, not ranked
Mar 202217.4% of 23 movements — small sample, not ranked
Apr 20226.7% of 30 movements — small sample, not ranked
May 202227.1% of 118 movements
Jun 202230.0% of 160 movements
Jul 202218.9% of 180 movements
Aug 202219.3% of 202 movements
Sep 202215.8% of 190 movements
Oct 202212.2% of 181 movements
Nov 202219.0% of 142 movements
Dec 202219.3% of 150 movements
Jan 202318.4% of 174 movements
Feb 20239.7% of 103 movements
Mar 202317.2% of 116 movements
Apr 202322.0% of 118 movements
May 202326.1% of 115 movements
Jun 202318.5% of 108 movements
Jul 202321.4% of 112 movements
Aug 202336.7% of 109 movements
Sep 202323.4% of 107 movements
Oct 202321.7% of 115 movements
Nov 202315.7% of 127 movements
Dec 202325.4% of 122 movements
Jan 202425.6% of 129 movements
Feb 202414.2% of 120 movements
Mar 202416.4% of 146 movements
Apr 202426.1% of 165 movements
May 202410.8% of 167 movements
Jun 202418.6% of 145 movements
Jul 202410.6% of 151 movements
Aug 20246.8% of 146 movements
Sep 202422.8% of 145 movements
Oct 202412.3% of 146 movements
Nov 202415.2% of 145 movements
Dec 202435.4% of 147 movements
Jan 202528.8% of 153 movements
Feb 202514.8% of 115 movements
Mar 20254.8% of 126 movements
Apr 202515.5% of 168 movements
May 202514.0% of 172 movements
Jun 202534.1% of 167 movements
Jul 202538.2% of 170 movements
Aug 202536.8% of 144 movements
Sep 202528.3% of 138 movements
Oct 202524.5% of 139 movements
Nov 202516.1% of 155 movements
Dec 202531.1% of 167 movements
Jan 202623.1% of 182 movements
Feb 202611.1% of 162 movements
Mar 202619.6% of 184 movements
Apr 202610.8% of 194 movements
May 202617.7% of 198 movements
Jun 202620.9% of 172 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 2022Arrivals18.9% of 180 movements11.2% across 599 flightsreturned after 7 months
Summer 2022 breakdown · Jul 2022Departures30.9% of 178 movements25.5% across 604 flightsreturned after 3 months
NATS system failure · Aug 2023Arrivals36.7% of 109 movements18.3% across 1,711 flightsreturned after 3 months
NATS system failure · Aug 2023Departures50.5% of 109 movements29.1% across 1,711 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals4.8% of 126 movements18.2% across 1,771 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.5% of 126 movements25.6% across 1,774 flightsreturned the next month
Definitions, denominators and limits

The baseline is the unweighted mean share over the twelve preceding calendar months. The return window is the following eight months, up to the end of the archive. Return means the first observed value at or below the baseline; it is not the duration of the disruption itself. If the event month is already below the baseline, counting still starts the month after. Gaps and suppressed cells are not treated as zeros or as recovery.

Which time of year has historically been hardest?

September has historically been the hardest month on this route: in a typical September, 23.1% of arrivals were disrupted, measured across 6 Septembers in the archive. February has been the calmest, at 11.7% across 7 Februarys.

Even September has ranged from 15.1% to 28.3% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20199.4% of 170 movements11.7% of 171 movements17.5% of 189 movements12.9% of 186 movements11.2% of 197 movements16.8% of 185 movements26.5% of 200 movements22.3% of 193 movements15.1% of 179 movements4.8% of 187 movements6.1% of 164 movements9.0% of 155 movements20203.8% of 160 movements7.7% of 156 movements67.2% of 61 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements14.7% of 34 movements †3.9% of 51 movementsno events in 30 movements †5.6% of 54 movements20212.9% of 35 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements5.0% of 20 movements †26.9% of 52 movements8.8% of 34 movements †3.2% of 31 movements †no events in 30 movements †no events in 31 movements †4.5% of 44 movements †4.9% of 41 movements †20223.4% of 29 movements †28.6% of 28 movements †17.4% of 23 movements †6.7% of 30 movements †27.1% of 118 movements30.0% of 160 movements18.9% of 180 movements19.3% of 202 movements15.8% of 190 movements12.2% of 181 movements19.0% of 142 movements19.3% of 150 movements202318.4% of 174 movements9.7% of 103 movements17.2% of 116 movements22.0% of 118 movements26.1% of 115 movements18.5% of 108 movements21.4% of 112 movements36.7% of 109 movements23.4% of 107 movements21.7% of 115 movements15.7% of 127 movements25.4% of 122 movements202425.6% of 129 movements14.2% of 120 movements16.4% of 146 movements26.1% of 165 movements10.8% of 167 movements18.6% of 145 movements10.6% of 151 movements6.8% of 146 movements22.8% of 145 movements12.3% of 146 movements15.2% of 145 movements35.4% of 147 movements202528.8% of 153 movements14.8% of 115 movements4.8% of 126 movements15.5% of 168 movements14.0% of 172 movements34.1% of 167 movements38.2% of 170 movements36.8% of 144 movements28.3% of 138 movements24.5% of 139 movements16.1% of 155 movements31.1% of 167 movements202623.1% of 182 movements11.1% of 162 movements19.6% of 184 movements10.8% of 194 movements17.7% of 198 movements20.9% of 172 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan18.4%3.4–28.8%7 months, 991 flights
Feb11.7%5.3–28.6%7 months, 870 flights
Mar17.4%4.8–28.6%7 months, 980 flights
Apr15.5%6.7–26.1%7 months, 1,056 flights
May14.6%10.8–27.1%7 months, 1,173 flights
Jun20.9%16.8–34.1%7 months, 1,129 flights
Jul21.7%10.6–38.2%6 months, 1,008 flights
Aug20.8%6.8–36.8%6 months, 990 flights
Sep23.1%15.1–28.3%6 months, 945 flights
Oct14.5%4.8–24.5%6 months, 966 flights
Nov15.9%6.1–20.1%6 months, 912 flights
Dec22.6%9.0–35.4%6 months, 908 flights
Definitions, denominators and limits

The matrix shows the last eight calendar years, including an incomplete final year; the start of the archive is kept in the history above. Seasonal summaries use the whole available archive, excluding the pandemic regime 2020–2021; this is an observed range, not a forecast. Zero events, missing data and suppressed cells are marked separately. † marks a small sample, described but not ranked. For ranges the colour follows the upper bound.

Which airline has the better record here?

Only one carrier published enough flights here to report: Aer Lingus, 22.7% of 2,004 movements disrupted.

Figures cover arrivals, July 2025 to June 2026; lower is better in every column. Carriers with fewer than twenty published flights are suppressed rather than shown as zero. The page makes no ranking: the operations behind these shares are not matched for aircraft, time of day or season.

Observed disruption share by optionAer Lingus22.7% of 2,004 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aer Lingus2,00422.7% of 2,004 movements3.7% of 2,004 movements0.9% of 2,004 movementsdescriptive comparison
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Emerald Airlines (Ireland)suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sprintairsuppressed: 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

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, LCY had the lowest disruption share at 13.1% of 765 movements and CWL the highest at 29.2% of 336 movements. This route sits at 22.7% of 2,005 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 ↔ Belfast-City-George-Best16.7% of 252 flightsBrs ↔ Belfast-City-George-Best22.1% of 190 flightsCwl ↔ Belfast-City-George-Best29.2% of 336 flightsEdi ↔ Belfast-City-George-Best26.8% of 1,241 flightsEma ↔ Belfast-City-George-Best17.7% of 294 flightsExt ↔ Belfast-City-George-Best21.6% of 97 flightsGla ↔ Belfast-City-George-Best26.8% of 645 flightsLba ↔ Belfast-City-George-Best23.7% of 1,166 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Belfast-City-George-Best25216.7% of 252 movements1.6% of 252 movements0.8% of 252 movementsdescriptive comparison
Bfs ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Belfast-City-George-Best19022.1% of 190 movements0.5% of 190 movementsno events in 190 movementsdescriptive comparison
Cwl ↔ Belfast-City-George-Best33629.2% of 336 movements1.5% of 336 movements1.2% of 336 movementsdescriptive comparison
Doncaster-Sheffield ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Belfast-City-George-Best1,24126.8% of 1,241 movements2.6% of 1,241 movements1.2% of 1,241 movementsdescriptive comparison
Ema ↔ Belfast-City-George-Best29417.7% of 294 movements1.0% of 294 movements0.7% of 294 movementsdescriptive comparison
Ext ↔ Belfast-City-George-Best9721.6% of 97 movements1.0% of 97 movements1.0% of 97 movementsdescriptive comparison
Gla ↔ Belfast-City-George-Best64526.8% of 645 movements1.4% of 645 movements1.6% of 645 movementsdescriptive comparison
Iom ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Belfast-City-George-Best1,16623.7% of 1,166 movements3.7% of 1,166 movements0.6% of 1,166 movementsdescriptive comparison
Lcy ↔ Belfast-City-George-Best76513.1% of 765 movements2.0% of 765 movements0.1% of 765 movementsdescriptive comparison
Lgw ↔ Belfast-City-George-Best1,03119.7% of 1,031 movements0.2% of 1,031 movements0.4% of 1,031 movementsdescriptive comparison
Lhr ↔ Belfast-City-George-Best2,27017.9% of 2,270 movements1.4% of 2,270 movements0.2% of 2,270 movementsdescriptive comparison
Lpl ↔ Belfast-City-George-Best40415.3% of 404 movements1.0% of 404 movements0.2% of 404 movementsdescriptive comparison
Ltn ↔ Belfast-City-George-Best32422.2% of 324 movements0.3% of 324 movementsno events in 324 movementsdescriptive comparison
Man ↔ Belfast-City-George-Best1,62826.1% of 1,628 movements2.1% of 1,628 movements1.2% of 1,628 movementsdescriptive comparison
Mme ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Belfast-City-George-Best87820.4% of 878 movements2.1% of 878 movements0.6% of 878 movementsdescriptive comparison
Stn ↔ Belfast-City-George-Bestsuppressed: 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 BHX ran 22.7% of 2,005 movements disrupted, departures 30.2% of 2,003 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 BHX22.7% of 2,005 movements3.7% of 2,005 movements0.9% of 2,005 movements
Departures from BHX30.2% of 2,003 movements4.0% of 2,003 movements1.1% of 2,003 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 202660 flights out of 12,84660 × £220 = £13,200
ArrivalsLast 72 months · Jul 2020–Jun 202652 flights out of 8,05852 × £220 = £11,440
DeparturesWhole archive · Jan 2018–Jun 202681 flights out of 12,85481 × £220 = £17,820
DeparturesLast 72 months · Jul 2020–Jun 202668 flights out of 8,06168 × £220 = £14,960
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 airportBIRMINGHAM · BHX
Final point / countryBELFAST CITY (GEORGE BEST) / UNITED KINGDOM
Final point codesBHD / EGAC
Great-circle distance363 km
Maximum statutory amount for the band£220
Average operated arrivals per day5.29
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: 2,005; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

22.7% of 2,005 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

3.7% of 2,005 movements in the same window.

How many delays crossed three hours?

0.9% of 2,005 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?

363 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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