UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

BFS ↔ GATWICK

In the twelve months from July 2025 to June 2026, 19.5% of 1,425 movements arriving into BFS were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 80.5% of 1,425 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 238 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, 19.5% of 1,425 movements were disrupted and 0.4% of 1,425 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
19.5% of 1,425 movements0.4% of 1,425 movements26.0–62.6 min; N of delayed flights=272–6001,425
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: 0.4% of 1,425 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 min19.1%30 min12.0%60 min5.3%120 min1.6%180 min0.4%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min19.1% of 1,425 movements2725.2
>30 min12.0% of 1,425 movements1718.3
>60 min5.3% of 1,425 movements7618.8
>120 min1.6% of 1,425 movements2362.0
>180 min0.4% of 1,425 movements6237.5
>360 minno events in 1,425 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 early27319.2%15–1 early54638.3%0–15 late32823.0%16–301017.1%31–60956.7%61…120533.7%121…180171.2%181…36060.4%>36000.0%D=1,425
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0306; 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: Sep 2020, no events in 101 movements. Worst month: Apr 2019, 100.0% of 180 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: 20.7%; sample: 1692018Feb 2018: 29.7%; sample: 158Mar 2018: 29.2%; sample: 178Apr 2018: 17.0%; sample: 182May 2018: 25.5%; sample: 184Jun 2018: 32.0%; sample: 175Jul 2018: 42.6%; sample: 162Aug 2018: 50.3%; sample: 151Sep 2018: 33.8%; sample: 157Oct 2018: 31.0%; sample: 187Nov 2018: 21.2%; sample: 184Dec 2018: 30.3%; sample: 178Jan 2019: 20.0%; sample: 1702019Feb 2019: 31.5%; sample: 165Mar 2019: 23.0%; sample: 183Apr 2019: 100.0%; sample: 180May 2019: 21.3%; sample: 188Jun 2019: 43.8%; sample: 169Jul 2019: 58.6%; sample: 145Aug 2019: 59.6%; sample: 146Sep 2019: 47.2%; sample: 178Oct 2019: 31.0%; sample: 187Nov 2019: 5.6%; sample: 177Dec 2019: 24.4%; sample: 180Jan 2020: 9.9%; sample: 1722020Feb 2020: 39.7%; sample: 156Mar 2020: 29.0%; sample: 124Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 0.0%; sample: 47Aug 2020: 2.2%; sample: 89Sep 2020: 0.0%; sample: 101Oct 2020: 0.0%; sample: 72Nov 2020: 0.0%; sample: 27Dec 2020: 5.8%; sample: 69Jan 2021: 8.8%; sample: 342021Feb 2021: 4.0%; sample: 25Mar 2021: 0.0%; sample: 27Apr 2021: 3.7%; sample: 27May 2021: 0.0%; sample: 58Jun 2021: 1.8%; sample: 110Jul 2021: 1.6%; sample: 122Aug 2021: 3.6%; sample: 139Sep 2021: 3.0%; sample: 133Oct 2021: 5.7%; sample: 141Nov 2021: 4.3%; sample: 141Dec 2021: 9.3%; sample: 150Jan 2022: 6.9%; sample: 1162022Feb 2022: 14.3%; sample: 133Mar 2022: 10.3%; sample: 156Apr 2022: 25.5%; sample: 165May 2022: 48.5%; sample: 171Jun 2022: 60.6%; sample: 155Jul 2022: 62.8%; sample: 148Aug 2022: 58.2%; sample: 165Sep 2022: 48.9%; sample: 174Oct 2022: 29.9%; sample: 174Nov 2022: 11.4%; sample: 132Dec 2022: 37.7%; sample: 138Jan 2023: 6.0%; sample: 1342023Feb 2023: 11.6%; sample: 146Mar 2023: 26.9%; sample: 160Apr 2023: 22.9%; sample: 170May 2023: 38.5%; sample: 182Jun 2023: 55.8%; sample: 163Jul 2023: 64.2%; sample: 148Aug 2023: 54.9%; sample: 142Sep 2023: 56.6%; sample: 159Oct 2023: 32.1%; sample: 168Nov 2023: 17.3%; sample: 127Dec 2023: 57.4%; sample: 141Jan 2024: 20.4%; sample: 1032024Feb 2024: 30.8%; sample: 130Mar 2024: 20.5%; sample: 146Apr 2024: 14.6%; sample: 158May 2024: 20.6%; sample: 165Jun 2024: 36.9%; sample: 149Jul 2024: 39.7%; sample: 141Aug 2024: 44.4%; sample: 142Sep 2024: 59.7%; sample: 159Oct 2024: 29.6%; sample: 152Nov 2024: 13.2%; sample: 114Dec 2024: 31.3%; sample: 131Jan 2025: 20.9%; sample: 1102025Feb 2025: 10.0%; sample: 120Mar 2025: 9.7%; sample: 134Apr 2025: 5.4%; sample: 112May 2025: 12.3%; sample: 114Jun 2025: 24.3%; sample: 111Jul 2025: 32.4%; sample: 111Aug 2025: 22.7%; sample: 110Sep 2025: 32.7%; sample: 107Oct 2025: 19.0%; sample: 116Nov 2025: 8.3%; sample: 121Dec 2025: 23.9%; sample: 138Jan 2026: 14.4%; sample: 1042026Feb 2026: 15.3%; sample: 118Mar 2026: 16.9%; sample: 142Apr 2026: 8.8%; sample: 125May 2026: 15.7%; sample: 121Jun 2026: 26.8%; sample: 112Pandemic 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 201820.7% of 169 movements
Feb 201829.7% of 158 movements
Mar 201829.2% of 178 movements
Apr 201817.0% of 182 movements
May 201825.5% of 184 movements
Jun 201832.0% of 175 movements
Jul 201842.6% of 162 movements
Aug 201850.3% of 151 movements
Sep 201833.8% of 157 movements
Oct 201831.0% of 187 movements
Nov 201821.2% of 184 movements
Dec 201830.3% of 178 movements
Jan 201920.0% of 170 movements
Feb 201931.5% of 165 movements
Mar 201923.0% of 183 movements
Apr 2019100.0% of 180 movements
May 201921.3% of 188 movements
Jun 201943.8% of 169 movements
Jul 201958.6% of 145 movements
Aug 201959.6% of 146 movements
Sep 201947.2% of 178 movements
Oct 201931.0% of 187 movements
Nov 20195.6% of 177 movements
Dec 201924.4% of 180 movements
Jan 20209.9% of 172 movements
Feb 202039.7% of 156 movements
Mar 202029.0% of 124 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020no events in 47 movements — small sample, not ranked
Aug 20202.2% of 89 movements
Sep 2020no events in 101 movements
Oct 2020no events in 72 movements
Nov 2020no events in 27 movements — small sample, not ranked
Dec 20205.8% of 69 movements
Jan 20218.8% of 34 movements — small sample, not ranked
Feb 20214.0% of 25 movements — small sample, not ranked
Mar 2021no events in 27 movements — small sample, not ranked
Apr 20213.7% of 27 movements — small sample, not ranked
May 2021no events in 58 movements
Jun 20211.8% of 110 movements
Jul 20211.6% of 122 movements
Aug 20213.6% of 139 movements
Sep 20213.0% of 133 movements
Oct 20215.7% of 141 movements
Nov 20214.3% of 141 movements
Dec 20219.3% of 150 movements
Jan 20226.9% of 116 movements
Feb 202214.3% of 133 movements
Mar 202210.3% of 156 movements
Apr 202225.5% of 165 movements
May 202248.5% of 171 movements
Jun 202260.6% of 155 movements
Jul 202262.8% of 148 movements
Aug 202258.2% of 165 movements
Sep 202248.9% of 174 movements
Oct 202229.9% of 174 movements
Nov 202211.4% of 132 movements
Dec 202237.7% of 138 movements
Jan 20236.0% of 134 movements
Feb 202311.6% of 146 movements
Mar 202326.9% of 160 movements
Apr 202322.9% of 170 movements
May 202338.5% of 182 movements
Jun 202355.8% of 163 movements
Jul 202364.2% of 148 movements
Aug 202354.9% of 142 movements
Sep 202356.6% of 159 movements
Oct 202332.1% of 168 movements
Nov 202317.3% of 127 movements
Dec 202357.4% of 141 movements
Jan 202420.4% of 103 movements
Feb 202430.8% of 130 movements
Mar 202420.5% of 146 movements
Apr 202414.6% of 158 movements
May 202420.6% of 165 movements
Jun 202436.9% of 149 movements
Jul 202439.7% of 141 movements
Aug 202444.4% of 142 movements
Sep 202459.7% of 159 movements
Oct 202429.6% of 152 movements
Nov 202413.2% of 114 movements
Dec 202431.3% of 131 movements
Jan 202520.9% of 110 movements
Feb 202510.0% of 120 movements
Mar 20259.7% of 134 movements
Apr 20255.4% of 112 movements
May 202512.3% of 114 movements
Jun 202524.3% of 111 movements
Jul 202532.4% of 111 movements
Aug 202522.7% of 110 movements
Sep 202532.7% of 107 movements
Oct 202519.0% of 116 movements
Nov 20258.3% of 121 movements
Dec 202523.9% of 138 movements
Jan 202614.4% of 104 movements
Feb 202615.3% of 118 movements
Mar 202616.9% of 142 movements
Apr 20268.8% of 125 movements
May 202615.7% of 121 movements
Jun 202626.8% of 112 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 2022Arrivals62.8% of 148 movements16.1% across 1,722 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures52.0% of 148 movements19.1% across 1,721 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals54.9% of 142 movements34.3% across 1,886 flightsreturned after 2 months
NATS system failure · Aug 2023Departures46.1% of 141 movements36.7% across 1,878 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals9.7% of 134 movements28.5% across 1,687 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures12.7% of 134 movements30.2% across 1,684 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?

August has historically been the hardest month on this route: in a typical August, 52.6% of arrivals were disrupted, measured across 6 Augusts in the archive. November has been the calmest, at 12.3% across 6 Novembers.

Even August has ranged from 22.7% to 59.6% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201920.0% of 170 movements31.5% of 165 movements23.0% of 183 movements100.0% of 180 movements21.3% of 188 movements43.8% of 169 movements58.6% of 145 movements59.6% of 146 movements47.2% of 178 movements31.0% of 187 movements5.6% of 177 movements24.4% of 180 movements20209.9% of 172 movements39.7% of 156 movements29.0% of 124 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 47 movements †2.2% of 89 movementsno events in 101 movementsno events in 72 movementsno events in 27 movements †5.8% of 69 movements20218.8% of 34 movements †4.0% of 25 movements †no events in 27 movements †3.7% of 27 movements †no events in 58 movements1.8% of 110 movements1.6% of 122 movements3.6% of 139 movements3.0% of 133 movements5.7% of 141 movements4.3% of 141 movements9.3% of 150 movements20226.9% of 116 movements14.3% of 133 movements10.3% of 156 movements25.5% of 165 movements48.5% of 171 movements60.6% of 155 movements62.8% of 148 movements58.2% of 165 movements48.9% of 174 movements29.9% of 174 movements11.4% of 132 movements37.7% of 138 movements20236.0% of 134 movements11.6% of 146 movements26.9% of 160 movements22.9% of 170 movements38.5% of 182 movements55.8% of 163 movements64.2% of 148 movements54.9% of 142 movements56.6% of 159 movements32.1% of 168 movements17.3% of 127 movements57.4% of 141 movements202420.4% of 103 movements30.8% of 130 movements20.5% of 146 movements14.6% of 158 movements20.6% of 165 movements36.9% of 149 movements39.7% of 141 movements44.4% of 142 movements59.7% of 159 movements29.6% of 152 movements13.2% of 114 movements31.3% of 131 movements202520.9% of 110 movements10.0% of 120 movements9.7% of 134 movements5.4% of 112 movements12.3% of 114 movements24.3% of 111 movements32.4% of 111 movements22.7% of 110 movements32.7% of 107 movements19.0% of 116 movements8.3% of 121 movements23.9% of 138 movements202614.4% of 104 movements15.3% of 118 movements16.9% of 142 movements8.8% of 125 movements15.7% of 121 movements26.8% of 112 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan20.0%6.0–20.9%7 months, 906 flights
Feb15.3%10.0–31.5%7 months, 970 flights
Mar20.5%9.7–29.2%7 months, 1,099 flights
Apr17.0%5.4–100.0%7 months, 1,092 flights
May21.3%12.3–48.5%7 months, 1,125 flights
Jun36.9%24.3–60.6%7 months, 1,034 flights
Jul50.6%32.4–64.2%6 months, 855 flights
Aug52.6%22.7–59.6%6 months, 856 flights
Sep48.0%32.7–59.7%6 months, 934 flights
Oct30.5%19.0–32.1%6 months, 984 flights
Nov12.3%5.6–21.2%6 months, 855 flights
Dec30.8%23.9–57.4%6 months, 906 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: Easyjet Uk Ltd, 19.5% of 1,423 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 optionEasyjet Uk19.5% of 1,423 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 Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk1,42319.5% of 1,423 movements0.4% of 1,423 movements0.4% of 1,423 movementsdescriptive comparison
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

The noise check is a descriptive approximation assuming independent operations. Delay correlation and mix differences are not estimated; no ranking is derived.

Would another UK airport have been better?

Among UK airports flying to this city with enough flights to publish, JER had the lowest disruption share at 17.6% of 1,996 movements and EDI the highest at 23.0% of 1,502 movements. This route sits at 19.5% of 1,425 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 ↔ Gatwick18.0% of 726 flightsBhd ↔ Gatwick18.3% of 1,033 flightsEdi ↔ Gatwick23.0% of 1,502 flightsGla ↔ Gatwick18.1% of 1,717 flightsIom ↔ Gatwick20.2% of 684 flightsJer ↔ Gatwick17.6% of 1,996 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Gatwick72618.0% of 726 movements0.6% of 726 movements0.3% of 726 movementsdescriptive comparison
Bhd ↔ Gatwick1,03318.3% of 1,033 movements0.4% of 1,033 movements0.2% of 1,033 movementsdescriptive comparison
Bhx ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Gatwick1,50223.0% of 1,502 movements0.4% of 1,502 movements0.3% of 1,502 movementsdescriptive comparison
Ema ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Gatwick1,71718.1% of 1,717 movements0.2% of 1,717 movements0.2% of 1,717 movementsdescriptive comparison
Iom ↔ Gatwick68420.2% of 684 movements1.2% of 684 movements0.6% of 684 movementsdescriptive comparison
Jer ↔ Gatwick1,99617.6% of 1,996 movements0.6% of 1,996 movements0.3% of 1,996 movementsdescriptive comparison
Lba ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mme ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Gatwicksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Barely: arrivals into BFS ran 19.5% of 1,425 movements disrupted, departures 22.5% of 1,425 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 BFS19.5% of 1,425 movements0.4% of 1,425 movements0.4% of 1,425 movements
Departures from BFS22.5% of 1,425 movements0.4% of 1,425 movements0.8% of 1,425 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 202681 flights out of 13,59681 × £220 = £17,820
ArrivalsLast 72 months · Jul 2020–Jun 202663 flights out of 8,99563 × £220 = £13,860
DeparturesWhole archive · Jan 2018–Jun 2026115 flights out of 13,586115 × £220 = £25,300
DeparturesLast 72 months · Jul 2020–Jun 202687 flights out of 8,97887 × £220 = £19,140
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 INTERNATIONAL · BFS
Final point / countryGATWICK / UNITED KINGDOM
Final point codesLGW / EGKK
Great-circle distance562 km
Maximum statutory amount for the band£220
Average operated arrivals per day3.89
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: 1,425; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

19.5% of 1,425 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.4% of 1,425 movements in the same window.

How many delays crossed three hours?

0.4% of 1,425 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?

562 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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