UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

ABZ ↔ BIRMINGHAM

In the twelve months from July 2025 to June 2026, 21.1% of 748 movements arriving into ABZ were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 78.9% of 748 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 374 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, 21.1% of 748 movements were disrupted and 3.2% of 748 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
21.1% of 748 movements3.2% of 748 movements22.5–59.5 min; N of delayed flights=134–322748
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: 3.2% of 748 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 min17.9%30 min9.5%60 min4.0%120 min1.3%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min17.9% of 748 movements1345.6
>30 min9.5% of 748 movements7110.5
>60 min4.0% of 748 movements3024.9
>120 min1.3% of 748 movements1074.8
>180 min0.3% of 748 movements2374.0
>360 minno events in 748 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 early8611.5%15–1 early31642.2%0–15 late18825.1%16–30638.4%31–60415.5%61…120202.7%121…18081.1%181…36020.3%>36000.0%D=748
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0192; 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, 4.8% of 63 movements. Worst month: Jun 2022, 75.8% of 66 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: 9.5%; sample: 742018Feb 2018: 23.6%; sample: 72Mar 2018: 35.4%; sample: 79Apr 2018: 13.2%; sample: 76May 2018: 16.2%; sample: 80Jun 2018: 14.5%; sample: 76Jul 2018: 20.0%; sample: 80Aug 2018: 21.2%; sample: 80Sep 2018: 17.3%; sample: 75Oct 2018: 11.1%; sample: 81Nov 2018: 16.5%; sample: 79Dec 2018: 21.1%; sample: 71Jan 2019: 8.8%; sample: 682019Feb 2019: 21.4%; sample: 70Mar 2019: 16.7%; sample: 78Apr 2019: 22.4%; sample: 76May 2019: 21.8%; sample: 78Jun 2019: 29.3%; sample: 75Jul 2019: 34.6%; sample: 81Aug 2019: 26.9%; sample: 78Sep 2019: 27.4%; sample: 73Oct 2019: 14.9%; sample: 74Nov 2019: 5.5%; sample: 73Dec 2019: 5.6%; sample: 72Jan 2020: 4.8%; sample: 632020Feb 2020: 5.7%; sample: 70Mar 2020: suppressed: fewer than twenty movements×Apr 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: suppressed: fewer than twenty movements×Oct 2020: 20.8%; sample: 24Nov 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: suppressed: fewer than twenty movements×May 2021: 33.3%; sample: 36Jun 2021: 16.7%; sample: 36Jul 2021: 21.1%; sample: 38Aug 2021: 8.1%; sample: 37Sep 2021: 27.8%; sample: 54Oct 2021: 21.4%; sample: 56Nov 2021: 16.9%; sample: 65Dec 2021: 26.4%; sample: 53Jan 2022: 9.7%; sample: 312022Feb 2022: 36.8%; sample: 38Mar 2022: 19.7%; sample: 61Apr 2022: 60.3%; sample: 68May 2022: 64.6%; sample: 65Jun 2022: 75.8%; sample: 66Jul 2022: 68.1%; sample: 72Aug 2022: 51.3%; sample: 76Sep 2022: 63.0%; sample: 73Oct 2022: 58.1%; sample: 74Nov 2022: 39.2%; sample: 74Dec 2022: 64.2%; sample: 67Jan 2023: 37.0%; sample: 542023Feb 2023: 51.6%; sample: 62Mar 2023: 48.8%; sample: 80Apr 2023: 25.0%; sample: 68May 2023: 43.7%; sample: 71Jun 2023: 41.6%; sample: 77Jul 2023: 54.1%; sample: 74Aug 2023: 61.3%; sample: 75Sep 2023: 36.8%; sample: 76Oct 2023: 34.3%; sample: 70Nov 2023: 32.9%; sample: 76Dec 2023: 50.0%; sample: 62Jan 2024: 24.6%; sample: 572024Feb 2024: 17.9%; sample: 67Mar 2024: 28.2%; sample: 78Apr 2024: 20.8%; sample: 72May 2024: 11.4%; sample: 79Jun 2024: 18.1%; sample: 72Jul 2024: 16.2%; sample: 80Aug 2024: 9.7%; sample: 72Sep 2024: 18.9%; sample: 74Oct 2024: 22.4%; sample: 76Nov 2024: 21.6%; sample: 74Dec 2024: 12.9%; sample: 62Jan 2025: 30.2%; sample: 532025Feb 2025: 17.2%; sample: 64Mar 2025: 9.3%; sample: 75Apr 2025: 9.7%; sample: 72May 2025: 6.7%; sample: 75Jun 2025: 25.7%; sample: 70Jul 2025: 10.0%; sample: 80Aug 2025: 13.2%; sample: 53Sep 2025: 25.7%; sample: 70Oct 2025: 22.7%; sample: 66Nov 2025: 45.2%; sample: 73Dec 2025: 18.5%; sample: 54Jan 2026: 31.8%; sample: 442026Feb 2026: 27.7%; sample: 47Mar 2026: 15.9%; sample: 63Apr 2026: 19.1%; sample: 68May 2026: 10.8%; sample: 65Jun 2026: 15.4%; sample: 65Pandemic 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 20189.5% of 74 movements
Feb 201823.6% of 72 movements
Mar 201835.4% of 79 movements
Apr 201813.2% of 76 movements
May 201816.2% of 80 movements
Jun 201814.5% of 76 movements
Jul 201820.0% of 80 movements
Aug 201821.2% of 80 movements
Sep 201817.3% of 75 movements
Oct 201811.1% of 81 movements
Nov 201816.5% of 79 movements
Dec 201821.1% of 71 movements
Jan 20198.8% of 68 movements
Feb 201921.4% of 70 movements
Mar 201916.7% of 78 movements
Apr 201922.4% of 76 movements
May 201921.8% of 78 movements
Jun 201929.3% of 75 movements
Jul 201934.6% of 81 movements
Aug 201926.9% of 78 movements
Sep 201927.4% of 73 movements
Oct 201914.9% of 74 movements
Nov 20195.5% of 73 movements
Dec 20195.6% of 72 movements
Jan 20204.8% of 63 movements
Feb 20205.7% of 70 movements
Mar 2020suppressed: fewer than twenty 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 2020suppressed: fewer than twenty movements
Oct 202020.8% of 24 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 2021suppressed: fewer than twenty movements
May 202133.3% of 36 movements — small sample, not ranked
Jun 202116.7% of 36 movements — small sample, not ranked
Jul 202121.1% of 38 movements — small sample, not ranked
Aug 20218.1% of 37 movements — small sample, not ranked
Sep 202127.8% of 54 movements
Oct 202121.4% of 56 movements
Nov 202116.9% of 65 movements
Dec 202126.4% of 53 movements
Jan 20229.7% of 31 movements — small sample, not ranked
Feb 202236.8% of 38 movements — small sample, not ranked
Mar 202219.7% of 61 movements
Apr 202260.3% of 68 movements
May 202264.6% of 65 movements
Jun 202275.8% of 66 movements
Jul 202268.1% of 72 movements
Aug 202251.3% of 76 movements
Sep 202263.0% of 73 movements
Oct 202258.1% of 74 movements
Nov 202239.2% of 74 movements
Dec 202264.2% of 67 movements
Jan 202337.0% of 54 movements
Feb 202351.6% of 62 movements
Mar 202348.8% of 80 movements
Apr 202325.0% of 68 movements
May 202343.7% of 71 movements
Jun 202341.6% of 77 movements
Jul 202354.1% of 74 movements
Aug 202361.3% of 75 movements
Sep 202336.8% of 76 movements
Oct 202334.3% of 70 movements
Nov 202332.9% of 76 movements
Dec 202350.0% of 62 movements
Jan 202424.6% of 57 movements
Feb 202417.9% of 67 movements
Mar 202428.2% of 78 movements
Apr 202420.8% of 72 movements
May 202411.4% of 79 movements
Jun 202418.1% of 72 movements
Jul 202416.2% of 80 movements
Aug 20249.7% of 72 movements
Sep 202418.9% of 74 movements
Oct 202422.4% of 76 movements
Nov 202421.6% of 74 movements
Dec 202412.9% of 62 movements
Jan 202530.2% of 53 movements
Feb 202517.2% of 64 movements
Mar 20259.3% of 75 movements
Apr 20259.7% of 72 movements
May 20256.7% of 75 movements
Jun 202525.7% of 70 movements
Jul 202510.0% of 80 movements
Aug 202513.2% of 53 movements
Sep 202525.7% of 70 movements
Oct 202522.7% of 66 movements
Nov 202545.2% of 73 movements
Dec 202518.5% of 54 movements
Jan 202631.8% of 44 movements — small sample, not ranked
Feb 202627.7% of 47 movements — small sample, not ranked
Mar 202615.9% of 63 movements
Apr 202619.1% of 68 movements
May 202610.8% of 65 movements
Jun 202615.4% of 65 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 2022Arrivals68.1% of 72 movements32.4% across 632 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures50.0% of 72 movements27.1% across 652 flightsreturned after 6 months
NATS system failure · Aug 2023Arrivals61.3% of 75 movements48.1% across 850 flightsreturned the next month
NATS system failure · Aug 2023Departures30.7% of 75 movements32.1% across 853 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals9.3% of 75 movements19.0% across 856 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures4.1% of 74 movements15.2% across 857 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, 27.3% of arrivals were disrupted, measured across 6 Julys in the archive. May has been the calmest, at 16.2% across 7 Mays.

Even July has ranged from 10.0% to 68.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20198.8% of 68 movements21.4% of 70 movements16.7% of 78 movements22.4% of 76 movements21.8% of 78 movements29.3% of 75 movements34.6% of 81 movements26.9% of 78 movements27.4% of 73 movements14.9% of 74 movements5.5% of 73 movements5.6% of 72 movements20204.8% of 63 movements5.7% of 70 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements20.8% of 24 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements33.3% of 36 movements †16.7% of 36 movements †21.1% of 38 movements †8.1% of 37 movements †27.8% of 54 movements21.4% of 56 movements16.9% of 65 movements26.4% of 53 movements20229.7% of 31 movements †36.8% of 38 movements †19.7% of 61 movements60.3% of 68 movements64.6% of 65 movements75.8% of 66 movements68.1% of 72 movements51.3% of 76 movements63.0% of 73 movements58.1% of 74 movements39.2% of 74 movements64.2% of 67 movements202337.0% of 54 movements51.6% of 62 movements48.8% of 80 movements25.0% of 68 movements43.7% of 71 movements41.6% of 77 movements54.1% of 74 movements61.3% of 75 movements36.8% of 76 movements34.3% of 70 movements32.9% of 76 movements50.0% of 62 movements202424.6% of 57 movements17.9% of 67 movements28.2% of 78 movements20.8% of 72 movements11.4% of 79 movements18.1% of 72 movements16.2% of 80 movements9.7% of 72 movements18.9% of 74 movements22.4% of 76 movements21.6% of 74 movements12.9% of 62 movements202530.2% of 53 movements17.2% of 64 movements9.3% of 75 movements9.7% of 72 movements6.7% of 75 movements25.7% of 70 movements10.0% of 80 movements13.2% of 53 movements25.7% of 70 movements22.7% of 66 movements45.2% of 73 movements18.5% of 54 movements202631.8% of 44 movements †27.7% of 47 movements †15.9% of 63 movements19.1% of 68 movements10.8% of 65 movements15.4% of 65 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan24.6%8.8–37.0%7 months, 381 flights
Feb23.6%17.2–51.6%7 months, 420 flights
Mar19.7%9.3–48.8%7 months, 514 flights
Apr20.8%9.7–60.3%7 months, 500 flights
May16.2%6.7–64.6%7 months, 513 flights
Jun25.7%14.5–75.8%7 months, 501 flights
Jul27.3%10.0–68.1%6 months, 467 flights
Aug24.1%9.7–61.3%6 months, 434 flights
Sep26.6%17.3–63.0%6 months, 441 flights
Oct22.5%11.1–58.1%6 months, 441 flights
Nov27.3%5.5–45.2%6 months, 449 flights
Dec19.8%5.6–64.2%6 months, 388 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: Loganair Ltd, 21.1% of 748 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 optionLoganair21.1% of 748 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
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Loganair74821.1% of 748 movements3.2% of 748 movements0.3% of 748 movementsdescriptive comparison

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 21.1% of 748 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 optionBfs ↔ Birmingham20.4% of 1,262 flightsBhd ↔ Birmingham29.6% of 1,999 flightsEdi ↔ Birmingham25.4% of 1,004 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
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
Edi ↔ Birmingham1,00425.4% of 1,004 movements1.2% of 1,004 movements0.4% of 1,004 movementsdescriptive comparison
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?

Yes: arrivals into ABZ ran 21.1% of 748 movements disrupted, departures 15.4% of 748 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 ABZ21.1% of 748 movements3.2% of 748 movements0.3% of 748 movements
Departures from ABZ15.4% of 748 movements2.5% of 748 movements0.1% of 748 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 202644 flights out of 6,06544 × £220 = £9,680
ArrivalsLast 72 months · Jul 2020–Jun 202640 flights out of 4,09940 × £220 = £8,800
DeparturesWhole archive · Jan 2018–Jun 202635 flights out of 6,06735 × £220 = £7,700
DeparturesLast 72 months · Jul 2020–Jun 202627 flights out of 4,11127 × £220 = £5,940
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 airportABERDEEN · ABZ
Final point / countryBIRMINGHAM / UNITED KINGDOM
Final point codesBHX / EGBB
Great-circle distance529 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.98
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: 748; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

21.1% of 748 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

3.2% of 748 movements in the same window.

How many delays crossed three hours?

0.3% of 748 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?

529 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.

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Reconstruction and formulas

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