UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

EDI ↔ BIRMINGHAM

In the twelve months from July 2025 to June 2026, 25.4% of 1,004 movements arriving into EDI were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 74.6% of 1,004 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 251 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, 25.4% of 1,004 movements were disrupted and 1.2% of 1,004 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
25.4% of 1,004 movements1.2% of 1,004 movements29.4–62.2 min; N of delayed flights=243–4811,004
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: 1.2% of 1,004 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 min24.2%30 min15.8%60 min8.1%120 min2.2%180 min0.4%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min24.2% of 1,004 movements2434.1
>30 min15.8% of 1,004 movements1596.3
>60 min8.1% of 1,004 movements8112.4
>120 min2.2% of 1,004 movements2245.6
>180 min0.4% of 1,004 movements4251.0
>360 minno events in 1,004 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 early11211.2%15–1 early39939.7%0–15 late23823.7%16–30848.4%31–60787.8%61…120595.9%121…180181.8%181…36040.4%>36000.0%D=1,004
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0247; 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: Jul 2021, no events in 57 movements. Worst month: Jul 2024, 49.4% of 81 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: 12.3%; sample: 1712018Feb 2018: 25.0%; sample: 172Mar 2018: 29.0%; sample: 186Apr 2018: 19.2%; sample: 182May 2018: 20.1%; sample: 189Jun 2018: 34.1%; sample: 182Jul 2018: 36.1%; sample: 191Aug 2018: 28.3%; sample: 187Sep 2018: 42.8%; sample: 180Oct 2018: 27.8%; sample: 194Nov 2018: 24.1%; sample: 195Dec 2018: 20.5%; sample: 171Jan 2019: 24.9%; sample: 1772019Feb 2019: 19.2%; sample: 177Mar 2019: 22.7%; sample: 194Apr 2019: 21.2%; sample: 179May 2019: 26.8%; sample: 190Jun 2019: 40.8%; sample: 179Jul 2019: 36.8%; sample: 193Aug 2019: 34.9%; sample: 186Sep 2019: 31.6%; sample: 177Oct 2019: 14.8%; sample: 189Nov 2019: 5.2%; sample: 172Dec 2019: 14.0%; sample: 150Jan 2020: 3.8%; sample: 1582020Feb 2020: 8.6%; sample: 162Mar 2020: 51.1%; sample: 45Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 4.3%; sample: 23Aug 2020: 2.1%; sample: 48Sep 2020: 0.0%; sample: 32Oct 2020: 2.7%; sample: 37Nov 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: no data×May 2021: suppressed: fewer than twenty movements×Jun 2021: 2.6%; sample: 39Jul 2021: 0.0%; sample: 57Aug 2021: 0.0%; sample: 49Sep 2021: 3.8%; sample: 52Oct 2021: 5.3%; sample: 57Nov 2021: 8.3%; sample: 48Dec 2021: 2.1%; sample: 47Jan 2022: 0.0%; sample: 422022Feb 2022: 18.2%; sample: 44Mar 2022: 10.0%; sample: 50Apr 2022: 36.7%; sample: 49May 2022: 34.1%; sample: 44Jun 2022: 39.3%; sample: 56Jul 2022: 34.9%; sample: 63Aug 2022: 23.0%; sample: 113Sep 2022: 30.6%; sample: 108Oct 2022: 21.0%; sample: 105Nov 2022: 16.7%; sample: 54Dec 2022: 36.9%; sample: 103Jan 2023: 12.8%; sample: 942023Feb 2023: 18.8%; sample: 48Mar 2023: 32.1%; sample: 53Apr 2023: 36.8%; sample: 57May 2023: 22.4%; sample: 58Jun 2023: 43.5%; sample: 62Jul 2023: 45.7%; sample: 70Aug 2023: 38.9%; sample: 72Sep 2023: 40.0%; sample: 60Oct 2023: 35.4%; sample: 65Nov 2023: 16.3%; sample: 86Dec 2023: 41.7%; sample: 84Jan 2024: 22.8%; sample: 792024Feb 2024: 17.9%; sample: 78Mar 2024: 26.4%; sample: 87Apr 2024: 33.8%; sample: 74May 2024: 34.2%; sample: 76Jun 2024: 48.6%; sample: 72Jul 2024: 49.4%; sample: 81Aug 2024: 41.0%; sample: 78Sep 2024: 37.8%; sample: 74Oct 2024: 34.2%; sample: 79Nov 2024: 20.9%; sample: 91Dec 2024: 36.7%; sample: 109Jan 2025: 29.5%; sample: 952025Feb 2025: 15.0%; sample: 100Mar 2025: 11.1%; sample: 108Apr 2025: 11.1%; sample: 81May 2025: 27.4%; sample: 84Jun 2025: 34.5%; sample: 84Jul 2025: 38.8%; sample: 80Aug 2025: 32.9%; sample: 79Sep 2025: 22.0%; sample: 82Oct 2025: 25.6%; sample: 86Nov 2025: 19.6%; sample: 92Dec 2025: 34.4%; sample: 93Jan 2026: 24.7%; sample: 852026Feb 2026: 26.4%; sample: 91Mar 2026: 20.4%; sample: 98Apr 2026: 15.7%; sample: 70May 2026: 12.2%; sample: 74Jun 2026: 31.1%; sample: 74Pandemic 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 201812.3% of 171 movements
Feb 201825.0% of 172 movements
Mar 201829.0% of 186 movements
Apr 201819.2% of 182 movements
May 201820.1% of 189 movements
Jun 201834.1% of 182 movements
Jul 201836.1% of 191 movements
Aug 201828.3% of 187 movements
Sep 201842.8% of 180 movements
Oct 201827.8% of 194 movements
Nov 201824.1% of 195 movements
Dec 201820.5% of 171 movements
Jan 201924.9% of 177 movements
Feb 201919.2% of 177 movements
Mar 201922.7% of 194 movements
Apr 201921.2% of 179 movements
May 201926.8% of 190 movements
Jun 201940.8% of 179 movements
Jul 201936.8% of 193 movements
Aug 201934.9% of 186 movements
Sep 201931.6% of 177 movements
Oct 201914.8% of 189 movements
Nov 20195.2% of 172 movements
Dec 201914.0% of 150 movements
Jan 20203.8% of 158 movements
Feb 20208.6% of 162 movements
Mar 202051.1% of 45 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20204.3% of 23 movements — small sample, not ranked
Aug 20202.1% of 48 movements — small sample, not ranked
Sep 2020no events in 32 movements — small sample, not ranked
Oct 20202.7% of 37 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 2021no data
May 2021suppressed: fewer than twenty movements
Jun 20212.6% of 39 movements — small sample, not ranked
Jul 2021no events in 57 movements
Aug 2021no events in 49 movements — small sample, not ranked
Sep 20213.8% of 52 movements
Oct 20215.3% of 57 movements
Nov 20218.3% of 48 movements — small sample, not ranked
Dec 20212.1% of 47 movements — small sample, not ranked
Jan 2022no events in 42 movements — small sample, not ranked
Feb 202218.2% of 44 movements — small sample, not ranked
Mar 202210.0% of 50 movements
Apr 202236.7% of 49 movements — small sample, not ranked
May 202234.1% of 44 movements — small sample, not ranked
Jun 202239.3% of 56 movements
Jul 202234.9% of 63 movements
Aug 202223.0% of 113 movements
Sep 202230.6% of 108 movements
Oct 202221.0% of 105 movements
Nov 202216.7% of 54 movements
Dec 202236.9% of 103 movements
Jan 202312.8% of 94 movements
Feb 202318.8% of 48 movements — small sample, not ranked
Mar 202332.1% of 53 movements
Apr 202336.8% of 57 movements
May 202322.4% of 58 movements
Jun 202343.5% of 62 movements
Jul 202345.7% of 70 movements
Aug 202338.9% of 72 movements
Sep 202340.0% of 60 movements
Oct 202335.4% of 65 movements
Nov 202316.3% of 86 movements
Dec 202341.7% of 84 movements
Jan 202422.8% of 79 movements
Feb 202417.9% of 78 movements
Mar 202426.4% of 87 movements
Apr 202433.8% of 74 movements
May 202434.2% of 76 movements
Jun 202448.6% of 72 movements
Jul 202449.4% of 81 movements
Aug 202441.0% of 78 movements
Sep 202437.8% of 74 movements
Oct 202434.2% of 79 movements
Nov 202420.9% of 91 movements
Dec 202436.7% of 109 movements
Jan 202529.5% of 95 movements
Feb 202515.0% of 100 movements
Mar 202511.1% of 108 movements
Apr 202511.1% of 81 movements
May 202527.4% of 84 movements
Jun 202534.5% of 84 movements
Jul 202538.8% of 80 movements
Aug 202532.9% of 79 movements
Sep 202522.0% of 82 movements
Oct 202525.6% of 86 movements
Nov 202519.6% of 92 movements
Dec 202534.4% of 93 movements
Jan 202624.7% of 85 movements
Feb 202626.4% of 91 movements
Mar 202620.4% of 98 movements
Apr 202615.7% of 70 movements
May 202612.2% of 74 movements
Jun 202631.1% of 74 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 2022Arrivals34.9% of 63 movements13.2% across 595 flightsreturned after 6 months
Summer 2022 breakdown · Jul 2022Departures44.4% of 63 movements13.5% across 595 flightsreturned after 6 months
NATS system failure · Aug 2023Arrivals38.9% of 72 movements28.3% across 925 flightsreturned after 3 months
NATS system failure · Aug 2023Departures34.2% of 73 movements28.8% across 924 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals11.1% of 108 movements34.0% across 1,016 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures10.2% of 108 movements31.5% across 1,016 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?

June has historically been the hardest month on this route: in a typical June, 39.3% of arrivals were disrupted, measured across 7 Junes in the archive. November has been the calmest, at 18.1% across 6 Novembers.

Even June has ranged from 31.1% to 48.6% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201924.9% of 177 movements19.2% of 177 movements22.7% of 194 movements21.2% of 179 movements26.8% of 190 movements40.8% of 179 movements36.8% of 193 movements34.9% of 186 movements31.6% of 177 movements14.8% of 189 movements5.2% of 172 movements14.0% of 150 movements20203.8% of 158 movements8.6% of 162 movements51.1% of 45 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements4.3% of 23 movements †2.1% of 48 movements †no events in 32 movements †2.7% of 37 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datasuppressed: fewer than twenty movements2.6% of 39 movements †no events in 57 movementsno events in 49 movements †3.8% of 52 movements5.3% of 57 movements8.3% of 48 movements †2.1% of 47 movements †2022no events in 42 movements †18.2% of 44 movements †10.0% of 50 movements36.7% of 49 movements †34.1% of 44 movements †39.3% of 56 movements34.9% of 63 movements23.0% of 113 movements30.6% of 108 movements21.0% of 105 movements16.7% of 54 movements36.9% of 103 movements202312.8% of 94 movements18.8% of 48 movements †32.1% of 53 movements36.8% of 57 movements22.4% of 58 movements43.5% of 62 movements45.7% of 70 movements38.9% of 72 movements40.0% of 60 movements35.4% of 65 movements16.3% of 86 movements41.7% of 84 movements202422.8% of 79 movements17.9% of 78 movements26.4% of 87 movements33.8% of 74 movements34.2% of 76 movements48.6% of 72 movements49.4% of 81 movements41.0% of 78 movements37.8% of 74 movements34.2% of 79 movements20.9% of 91 movements36.7% of 109 movements202529.5% of 95 movements15.0% of 100 movements11.1% of 108 movements11.1% of 81 movements27.4% of 84 movements34.5% of 84 movements38.8% of 80 movements32.9% of 79 movements22.0% of 82 movements25.6% of 86 movements19.6% of 92 movements34.4% of 93 movements202624.7% of 85 movements26.4% of 91 movements20.4% of 98 movements15.7% of 70 movements12.2% of 74 movements31.1% of 74 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.8%0.0–29.5%7 months, 743 flights
Feb18.8%15.0–26.4%7 months, 710 flights
Mar22.7%10.0–32.1%7 months, 776 flights
Apr21.2%11.1–36.8%7 months, 692 flights
May26.8%12.2–34.2%7 months, 715 flights
Jun39.3%31.1–48.6%7 months, 709 flights
Jul37.8%34.9–49.4%6 months, 678 flights
Aug33.9%23.0–41.0%6 months, 715 flights
Sep34.7%22.0–42.8%6 months, 681 flights
Oct26.7%14.8–35.4%6 months, 718 flights
Nov18.1%5.2–24.1%6 months, 690 flights
Dec35.6%14.0–41.7%6 months, 710 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, 25.4% of 1,002 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 Uk25.4% of 1,002 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Eastern Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk1,00225.4% of 1,002 movements1.2% of 1,002 movements0.4% of 1,002 movementsdescriptive comparison
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
Loganairsuppressed: 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

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 13.3% of 105 movements and BHD the highest at 29.6% of 1,999 movements. This route sits at 25.4% of 1,004 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 ↔ Birmingham21.1% of 748 flightsBfs ↔ Birmingham20.4% of 1,262 flightsBhd ↔ Birmingham29.6% of 1,999 flightsGla ↔ Birmingham13.7% of 650 flightsIom ↔ Birmingham22.1% of 276 flightsJer ↔ Birmingham13.3% of 105 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Birmingham74821.1% of 748 movements3.2% of 748 movements0.3% of 748 movementsdescriptive comparison
Bfs ↔ Birmingham1,26220.4% of 1,262 movements0.7% of 1,262 movements0.7% of 1,262 movementsdescriptive comparison
Bhd ↔ Birmingham1,99929.6% of 1,999 movements4.3% of 1,999 movements1.1% of 1,999 movementsdescriptive comparison
Boh ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Birmingham65013.7% of 650 movements0.9% of 650 movements0.2% of 650 movementsdescriptive comparison
Iom ↔ Birmingham27622.1% of 276 movements3.3% of 276 movements1.1% of 276 movementsdescriptive comparison
Jer ↔ Birmingham10513.3% of 105 movementsno events in 105 movements1.0% of 105 movementsdescriptive comparison
Lba ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mme ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Birminghamsuppressed: 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 EDI ran 25.4% of 1,004 movements disrupted, departures 24.1% of 1,005 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 EDI25.4% of 1,004 movements1.2% of 1,004 movements0.4% of 1,004 movements
Departures from EDI24.1% of 1,005 movements1.1% of 1,005 movements0.3% of 1,005 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 202648 flights out of 9,42948 × £220 = £10,560
ArrivalsLast 72 months · Jul 2020–Jun 202622 flights out of 4,70122 × £220 = £4,840
DeparturesWhole archive · Jan 2018–Jun 202637 flights out of 9,43037 × £220 = £8,140
DeparturesLast 72 months · Jul 2020–Jun 202621 flights out of 4,70121 × £220 = £4,620
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 airportEDINBURGH · EDI
Final point / countryBIRMINGHAM / UNITED KINGDOM
Final point codesBHX / EGBB
Great-circle distance403 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.72
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 archive96

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: 1,004; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

25.4% of 1,004 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.2% of 1,004 movements in the same window.

How many delays crossed three hours?

0.4% of 1,004 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?

403 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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