UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

BHX ↔ PARIS CHARLES DE GAULLE

In the twelve months from July 2025 to June 2026, 28.9% of 1,631 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, 71.1% of 1,631 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 326 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, 28.9% of 1,631 movements were disrupted and 1.5% of 1,631 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
28.9% of 1,631 movements1.5% of 1,631 movements24.2–51.8 min; N of delayed flights=447–8901,631
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 1.5% of 1,631 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 min27.4%30 min13.7%60 min5.5%120 min1.0%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min27.4% of 1,631 movements4473.6
>30 min13.7% of 1,631 movements2247.3
>60 min5.5% of 1,631 movements8918.3
>120 min1.0% of 1,631 movements16101.9
>180 min0.3% of 1,631 movements5326.2
>360 minno events in 1,631 movements0no observed events, which is not zero risk
Definitions, denominators and limits

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

Slightly late, or occasionally a disaster?

When this route runs late, it is usually only a little late: big blow-ups are rarer here than on the typical UK route.

The histogram below counts every recorded arrival, from more than fifteen minutes early through to more than six hours late. A tall bar near the middle and a thin right-hand tail is the healthy shape.

Nine delay buckets, minutes; share of all recorded operations>15 early1247.6%15–1 early59336.4%0–15 late44327.2%16–3022313.7%31–601358.3%61…120734.5%121…180110.7%181…36050.3%>36000.0%D=1,631
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0140; 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: Oct 2019, 8.1% of 172 movements. Worst month: Jul 2022, 46.2% of 80 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: 19.0%; sample: 1682018Feb 2018: 35.0%; sample: 160Mar 2018: 25.4%; sample: 177Apr 2018: 18.0%; sample: 167May 2018: 16.8%; sample: 173Jun 2018: 26.3%; sample: 167Jul 2018: 33.0%; sample: 179Aug 2018: 28.1%; sample: 167Sep 2018: 21.7%; sample: 166Oct 2018: 12.0%; sample: 175Nov 2018: 23.1%; sample: 169Dec 2018: 18.3%; sample: 175Jan 2019: 20.6%; sample: 1652019Feb 2019: 17.2%; sample: 157Mar 2019: 19.8%; sample: 167Apr 2019: 23.8%; sample: 168May 2019: 19.3%; sample: 171Jun 2019: 30.2%; sample: 169Jul 2019: 35.6%; sample: 177Aug 2019: 25.1%; sample: 175Sep 2019: 25.6%; sample: 168Oct 2019: 8.1%; sample: 172Nov 2019: 9.3%; sample: 161Dec 2019: 15.5%; sample: 168Jan 2020: 9.3%; sample: 1612020Feb 2020: 10.9%; sample: 156Mar 2020: 37.8%; sample: 98Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 16.7%; sample: 30Aug 2020: 7.3%; sample: 41Sep 2020: 7.9%; sample: 38Oct 2020: 22.2%; sample: 27Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: 44.0%; sample: 25May 2021: 10.0%; sample: 20Jun 2021: 19.2%; sample: 26Jul 2021: 46.9%; sample: 32Aug 2021: 47.2%; sample: 36Sep 2021: 24.5%; sample: 49Oct 2021: 20.3%; sample: 59Nov 2021: 18.9%; sample: 74Dec 2021: 20.8%; sample: 72Jan 2022: 27.3%; sample: 332022Feb 2022: 20.5%; sample: 39Mar 2022: 10.8%; sample: 65Apr 2022: 23.3%; sample: 90May 2022: 15.4%; sample: 91Jun 2022: 30.7%; sample: 88Jul 2022: 46.2%; sample: 80Aug 2022: 21.0%; sample: 81Sep 2022: 35.2%; sample: 88Oct 2022: 19.6%; sample: 92Nov 2022: 11.6%; sample: 86Dec 2022: 36.0%; sample: 86Jan 2023: 13.8%; sample: 872023Feb 2023: 15.0%; sample: 80Mar 2023: 29.2%; sample: 96Apr 2023: 44.4%; sample: 117May 2023: 19.5%; sample: 118Jun 2023: 33.3%; sample: 117Jul 2023: 23.5%; sample: 102Aug 2023: 32.7%; sample: 101Sep 2023: 20.9%; sample: 115Oct 2023: 19.1%; sample: 110Nov 2023: 14.0%; sample: 107Dec 2023: 26.1%; sample: 115Jan 2024: 28.3%; sample: 992024Feb 2024: 13.4%; sample: 97Mar 2024: 13.8%; sample: 116Apr 2024: 22.4%; sample: 125May 2024: 13.9%; sample: 137Jun 2024: 27.9%; sample: 140Jul 2024: 33.3%; sample: 129Aug 2024: 17.2%; sample: 128Sep 2024: 23.9%; sample: 134Oct 2024: 20.0%; sample: 135Nov 2024: 21.4%; sample: 117Dec 2024: 25.4%; sample: 138Jan 2025: 25.2%; sample: 1192025Feb 2025: 17.1%; sample: 117Mar 2025: 11.7%; sample: 137Apr 2025: 16.8%; sample: 131May 2025: 24.6%; sample: 142Jun 2025: 28.3%; sample: 145Jul 2025: 32.1%; sample: 137Aug 2025: 20.3%; sample: 138Sep 2025: 36.5%; sample: 137Oct 2025: 34.1%; sample: 132Nov 2025: 36.6%; sample: 112Dec 2025: 34.3%; sample: 134Jan 2026: 35.3%; sample: 1162026Feb 2026: 20.3%; sample: 118Mar 2026: 15.3%; sample: 137Apr 2026: 24.0%; sample: 154May 2026: 27.7%; sample: 159Jun 2026: 31.8%; sample: 157Pandemic 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 201819.0% of 168 movements
Feb 201835.0% of 160 movements
Mar 201825.4% of 177 movements
Apr 201818.0% of 167 movements
May 201816.8% of 173 movements
Jun 201826.3% of 167 movements
Jul 201833.0% of 179 movements
Aug 201828.1% of 167 movements
Sep 201821.7% of 166 movements
Oct 201812.0% of 175 movements
Nov 201823.1% of 169 movements
Dec 201818.3% of 175 movements
Jan 201920.6% of 165 movements
Feb 201917.2% of 157 movements
Mar 201919.8% of 167 movements
Apr 201923.8% of 168 movements
May 201919.3% of 171 movements
Jun 201930.2% of 169 movements
Jul 201935.6% of 177 movements
Aug 201925.1% of 175 movements
Sep 201925.6% of 168 movements
Oct 20198.1% of 172 movements
Nov 20199.3% of 161 movements
Dec 201915.5% of 168 movements
Jan 20209.3% of 161 movements
Feb 202010.9% of 156 movements
Mar 202037.8% of 98 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 202016.7% of 30 movements — small sample, not ranked
Aug 20207.3% of 41 movements — small sample, not ranked
Sep 20207.9% of 38 movements — small sample, not ranked
Oct 202022.2% of 27 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 202144.0% of 25 movements — small sample, not ranked
May 202110.0% of 20 movements — small sample, not ranked
Jun 202119.2% of 26 movements — small sample, not ranked
Jul 202146.9% of 32 movements — small sample, not ranked
Aug 202147.2% of 36 movements — small sample, not ranked
Sep 202124.5% of 49 movements — small sample, not ranked
Oct 202120.3% of 59 movements
Nov 202118.9% of 74 movements
Dec 202120.8% of 72 movements
Jan 202227.3% of 33 movements — small sample, not ranked
Feb 202220.5% of 39 movements — small sample, not ranked
Mar 202210.8% of 65 movements
Apr 202223.3% of 90 movements
May 202215.4% of 91 movements
Jun 202230.7% of 88 movements
Jul 202246.2% of 80 movements
Aug 202221.0% of 81 movements
Sep 202235.2% of 88 movements
Oct 202219.6% of 92 movements
Nov 202211.6% of 86 movements
Dec 202236.0% of 86 movements
Jan 202313.8% of 87 movements
Feb 202315.0% of 80 movements
Mar 202329.2% of 96 movements
Apr 202344.4% of 117 movements
May 202319.5% of 118 movements
Jun 202333.3% of 117 movements
Jul 202323.5% of 102 movements
Aug 202332.7% of 101 movements
Sep 202320.9% of 115 movements
Oct 202319.1% of 110 movements
Nov 202314.0% of 107 movements
Dec 202326.1% of 115 movements
Jan 202428.3% of 99 movements
Feb 202413.4% of 97 movements
Mar 202413.8% of 116 movements
Apr 202422.4% of 125 movements
May 202413.9% of 137 movements
Jun 202427.9% of 140 movements
Jul 202433.3% of 129 movements
Aug 202417.2% of 128 movements
Sep 202423.9% of 134 movements
Oct 202420.0% of 135 movements
Nov 202421.4% of 117 movements
Dec 202425.4% of 138 movements
Jan 202525.2% of 119 movements
Feb 202517.1% of 117 movements
Mar 202511.7% of 137 movements
Apr 202516.8% of 131 movements
May 202524.6% of 142 movements
Jun 202528.3% of 145 movements
Jul 202532.1% of 137 movements
Aug 202520.3% of 138 movements
Sep 202536.5% of 137 movements
Oct 202534.1% of 132 movements
Nov 202536.6% of 112 movements
Dec 202534.3% of 134 movements
Jan 202635.3% of 116 movements
Feb 202620.3% of 118 movements
Mar 202615.3% of 137 movements
Apr 202624.0% of 154 movements
May 202627.7% of 159 movements
Jun 202631.8% of 157 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 2022Arrivals46.2% of 80 movements25.6% across 728 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures68.8% of 80 movements39.8% across 726 flightsreturned after 3 months
NATS system failure · Aug 2023Arrivals32.7% of 101 movements25.2% across 1,150 flightsreturned the next month
NATS system failure · Aug 2023Departures43.6% of 101 movements36.5% across 1,148 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals11.7% of 137 movements21.8% across 1,535 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures11.7% of 137 movements25.9% across 1,536 flightsreturned the next month
Definitions, denominators and limits

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

Which time of year has historically been hardest?

July has historically been the hardest month on this route: in a typical July, 33.1% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 15.3% across 7 Marchs.

Even July has ranged from 23.5% to 46.2% in different years, so this is a record of what happened, not a forecast of what will. Lower is better throughout.

Each cell is one calendar month of one year; the number is the share of that month’s arrivals that were disrupted. Darker means worse. A blank cell means no published data, not zero.

Seasonality: calendar month by year; share and nJanFebMarAprMayJunJulAugSepOctNovDec201920.6% of 165 movements17.2% of 157 movements19.8% of 167 movements23.8% of 168 movements19.3% of 171 movements30.2% of 169 movements35.6% of 177 movements25.1% of 175 movements25.6% of 168 movements8.1% of 172 movements9.3% of 161 movements15.5% of 168 movements20209.3% of 161 movements10.9% of 156 movements37.8% of 98 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements16.7% of 30 movements †7.3% of 41 movements †7.9% of 38 movements †22.2% of 27 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements44.0% of 25 movements †10.0% of 20 movements †19.2% of 26 movements †46.9% of 32 movements †47.2% of 36 movements †24.5% of 49 movements †20.3% of 59 movements18.9% of 74 movements20.8% of 72 movements202227.3% of 33 movements †20.5% of 39 movements †10.8% of 65 movements23.3% of 90 movements15.4% of 91 movements30.7% of 88 movements46.2% of 80 movements21.0% of 81 movements35.2% of 88 movements19.6% of 92 movements11.6% of 86 movements36.0% of 86 movements202313.8% of 87 movements15.0% of 80 movements29.2% of 96 movements44.4% of 117 movements19.5% of 118 movements33.3% of 117 movements23.5% of 102 movements32.7% of 101 movements20.9% of 115 movements19.1% of 110 movements14.0% of 107 movements26.1% of 115 movements202428.3% of 99 movements13.4% of 97 movements13.8% of 116 movements22.4% of 125 movements13.9% of 137 movements27.9% of 140 movements33.3% of 129 movements17.2% of 128 movements23.9% of 134 movements20.0% of 135 movements21.4% of 117 movements25.4% of 138 movements202525.2% of 119 movements17.1% of 117 movements11.7% of 137 movements16.8% of 131 movements24.6% of 142 movements28.3% of 145 movements32.1% of 137 movements20.3% of 138 movements36.5% of 137 movements34.1% of 132 movements36.6% of 112 movements34.3% of 134 movements202635.3% of 116 movements20.3% of 118 movements15.3% of 137 movements24.0% of 154 movements27.7% of 159 movements31.8% of 157 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.2%13.8–35.3%7 months, 787 flights
Feb17.2%13.4–35.0%7 months, 768 flights
Mar15.3%10.8–29.2%7 months, 895 flights
Apr23.3%16.8–44.4%7 months, 952 flights
May19.3%13.9–27.7%7 months, 991 flights
Jun30.2%26.3–33.3%7 months, 983 flights
Jul33.1%23.5–46.2%6 months, 804 flights
Aug23.1%17.2–32.7%6 months, 790 flights
Sep24.7%20.9–36.5%6 months, 808 flights
Oct19.3%8.1–34.1%6 months, 816 flights
Nov17.7%9.3–36.6%6 months, 752 flights
Dec25.7%15.5–36.0%6 months, 816 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: Air France 27.5% of 1,203 movements, Easyjet Uk 31.6% of 383 movements, Easyjet Europe 38.1% of 42 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 optionAir France27.5% of 1,203 flightsEasyjet Europe †38.1% of 42 flightsEasyjet Uk31.6% of 383 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air France1,20327.5% of 1,203 movements1.3% of 1,203 movements0.3% of 1,203 movementsdescriptive comparison
City Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Europe4238.1% of 42 movements — small sample, not ranked2.4% of 42 movements — small sample, not rankedno events in 42 movements — small sample, not rankedsmall sample; not ranked
Easyjet Uk38331.6% of 383 movements1.8% of 383 movements0.3% of 383 movementsdescriptive comparison
Enter Airsuppressed: 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
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Maleth Aerosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Voloteasuppressed: 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, ABZ had the lowest disruption share at 15.6% of 64 movements and MAN the highest at 46.9% of 2,780 movements. This route sits at 28.9% of 1,631 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 ↔ Paris-Charles-De-Gaulle15.6% of 64 flightsBfs ↔ Paris-Charles-De-Gaulle26.0% of 407 flightsBrs ↔ Paris-Charles-De-Gaulle32.6% of 965 flightsEdi ↔ Paris-Charles-De-Gaulle35.0% of 1,859 flightsGla ↔ Paris-Charles-De-Gaulle37.8% of 683 flightsJer ↔ Paris-Charles-De-Gaulle22.0% of 50 flightsLba ↔ Paris-Charles-De-Gaulle40.3% of 278 flightsLgw ↔ Paris-Charles-De-Gaulle34.0% of 1,641 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Paris-Charles-De-Gaulle6415.6% of 64 movementsno events in 64 movementsno events in 64 movementsdescriptive comparison
Bfs ↔ Paris-Charles-De-Gaulle40726.0% of 407 movements0.7% of 407 movementsno events in 407 movementsdescriptive comparison
Bhd ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Paris-Charles-De-Gaulle96532.6% of 965 movements1.9% of 965 movements0.3% of 965 movementsdescriptive comparison
Cwl ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Paris-Charles-De-Gaulle1,85935.0% of 1,859 movements1.0% of 1,859 movements0.6% of 1,859 movementsdescriptive comparison
Ema ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Paris-Charles-De-Gaulle68337.8% of 683 movements1.2% of 683 movements0.1% of 683 movementsdescriptive comparison
Iom ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Paris-Charles-De-Gaulle5022.0% of 50 movementsno events in 50 movements2.0% of 50 movementsdescriptive comparison
Lba ↔ Paris-Charles-De-Gaulle27840.3% of 278 movementsno events in 278 movements0.7% of 278 movementsdescriptive comparison
Lcy ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Paris-Charles-De-Gaulle1,64134.0% of 1,641 movements2.2% of 1,641 movements0.5% of 1,641 movementsdescriptive comparison
Lhr ↔ Paris-Charles-De-Gaulle4,78525.3% of 4,785 movements1.9% of 4,785 movements0.1% of 4,785 movementsdescriptive comparison
Lpl ↔ Paris-Charles-De-Gaulle27324.2% of 273 movements1.8% of 273 movements0.4% of 273 movementsdescriptive comparison
Ltn ↔ Paris-Charles-De-Gaulle1,13335.4% of 1,133 movements0.5% of 1,133 movements1.0% of 1,133 movementsdescriptive comparison
Man ↔ Paris-Charles-De-Gaulle2,78046.9% of 2,780 movements1.3% of 2,780 movements0.6% of 2,780 movementsdescriptive comparison
Ncl ↔ Paris-Charles-De-Gaulle1,04328.7% of 1,043 movements1.0% of 1,043 movements0.3% of 1,043 movementsdescriptive comparison
Sen ↔ Paris-Charles-De-Gaulle21421.0% of 214 movements0.5% of 214 movements0.5% of 214 movementsdescriptive comparison
Sou ↔ Paris-Charles-De-Gaullesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Paris-Charles-De-Gaulle3444.1% of 34 movements — small sample, not rankedno events in 34 movements — small sample, not rankedno events in 34 movements — small sample, not rankedsmall sample; not ranked

Does the direction you are flying change anything?

Yes: arrivals into BHX ran 28.9% of 1,631 movements disrupted, departures 34.0% of 1,636 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 BHX28.9% of 1,631 movements1.5% of 1,631 movements0.3% of 1,631 movements
Departures from BHX34.0% of 1,636 movements1.8% of 1,636 movements0.2% of 1,636 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 202632 flights out of 11,16032 × £220 = £7,040
ArrivalsLast 72 months · Jul 2020–Jun 202614 flights out of 6,67514 × £220 = £3,080
DeparturesWhole archive · Jan 2018–Jun 202635 flights out of 11,16035 × £220 = £7,700
DeparturesLast 72 months · Jul 2020–Jun 202617 flights out of 6,67517 × £220 = £3,740
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 / countryPARIS (CHARLES DE GAULLE) / FRANCE
Final point codesCDG / LFPG
Great-circle distance488 km
Maximum statutory amount for the band£220
Average operated arrivals per day4.40
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 archive99

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: 1,631; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

28.9% of 1,631 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.5% of 1,631 movements in the same window.

How many delays crossed three hours?

0.3% of 1,631 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

chronically slightly late. The class compares the tail with short delays across routes in the corpus.

What distance is used?

488 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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