UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

BHX ↔ AMS

In the twelve months from July 2025 to June 2026, 26.0% of 2,325 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, 74.0% of 2,325 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 291 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, 26.0% of 2,325 movements were disrupted and 2.9% of 2,325 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
26.0% of 2,325 movements2.9% of 2,325 movements22.2–56.7 min; N of delayed flights=536–1,2662,325
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: 2.9% of 2,325 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 min23.1%30 min13.5%60 min4.7%120 min0.8%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min23.1% of 2,325 movements5364.3
>30 min13.5% of 2,325 movements3157.4
>60 min4.7% of 2,325 movements10921.3
>120 min0.8% of 2,325 movements18129.2
>180 min0.3% of 2,325 movements8290.6
>360 minno events in 2,325 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 early964.1%15–1 early89538.5%0–15 late73031.4%16–302219.5%31–602068.9%61…120913.9%121…180100.4%181…36080.3%>36000.0%D=2,325
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0187; 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: Aug 2020, 1.1% of 90 movements. Worst month: Mar 2019, 47.6% of 311 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: 23.3%; sample: 3092018Feb 2018: 23.3%; sample: 300Mar 2018: 30.5%; sample: 344Apr 2018: 19.5%; sample: 307May 2018: 19.9%; sample: 316Jun 2018: 35.8%; sample: 307Jul 2018: 29.1%; sample: 299Aug 2018: 28.9%; sample: 294Sep 2018: 37.0%; sample: 308Oct 2018: 21.1%; sample: 327Nov 2018: 23.5%; sample: 311Dec 2018: 24.3%; sample: 309Jan 2019: 18.9%; sample: 3022019Feb 2019: 26.6%; sample: 290Mar 2019: 47.6%; sample: 311Apr 2019: 19.9%; sample: 276May 2019: 37.4%; sample: 289Jun 2019: 37.3%; sample: 276Jul 2019: 28.5%; sample: 288Aug 2019: 22.7%; sample: 282Sep 2019: 33.0%; sample: 279Oct 2019: 20.6%; sample: 296Nov 2019: 11.8%; sample: 304Dec 2019: 13.0%; sample: 299Jan 2020: 8.1%; sample: 2972020Feb 2020: 19.4%; sample: 294Mar 2020: 36.6%; sample: 202Apr 2020: 25.0%; sample: 28May 2020: 3.4%; sample: 29Jun 2020: 6.7%; sample: 30Jul 2020: 3.2%; sample: 31Aug 2020: 1.1%; sample: 90Sep 2020: 4.7%; sample: 107Oct 2020: 2.1%; sample: 95Nov 2020: 1.5%; sample: 66Dec 2020: 6.3%; sample: 63Jan 2021: 42.2%; sample: 642021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: 31.0%; sample: 42May 2021: 5.0%; sample: 60Jun 2021: 15.8%; sample: 76Jul 2021: 5.4%; sample: 93Aug 2021: 16.1%; sample: 93Sep 2021: 24.8%; sample: 109Oct 2021: 24.1%; sample: 137Nov 2021: 21.0%; sample: 119Dec 2021: 18.9%; sample: 132Jan 2022: 15.6%; sample: 962022Feb 2022: 26.2%; sample: 84Mar 2022: 12.8%; sample: 117Apr 2022: 32.4%; sample: 185May 2022: 46.1%; sample: 230Jun 2022: 45.6%; sample: 226Jul 2022: 40.0%; sample: 155Aug 2022: 27.6%; sample: 152Sep 2022: 42.7%; sample: 213Oct 2022: 21.1%; sample: 190Nov 2022: 9.6%; sample: 136Dec 2022: 24.3%; sample: 136Jan 2023: 11.6%; sample: 1382023Feb 2023: 3.6%; sample: 112Mar 2023: 23.5%; sample: 153Apr 2023: 15.8%; sample: 183May 2023: 21.8%; sample: 197Jun 2023: 25.0%; sample: 184Jul 2023: 28.8%; sample: 156Aug 2023: 29.4%; sample: 160Sep 2023: 28.3%; sample: 191Oct 2023: 28.3%; sample: 205Nov 2023: 36.3%; sample: 190Dec 2023: 37.4%; sample: 198Jan 2024: 34.1%; sample: 1672024Feb 2024: 20.6%; sample: 180Mar 2024: 20.7%; sample: 208Apr 2024: 32.2%; sample: 202May 2024: 25.4%; sample: 205Jun 2024: 33.3%; sample: 186Jul 2024: 33.3%; sample: 165Aug 2024: 26.8%; sample: 168Sep 2024: 33.0%; sample: 197Oct 2024: 28.8%; sample: 208Nov 2024: 22.1%; sample: 199Dec 2024: 23.9%; sample: 213Jan 2025: 34.4%; sample: 1802025Feb 2025: 23.2%; sample: 177Mar 2025: 16.9%; sample: 213Apr 2025: 14.1%; sample: 199May 2025: 20.2%; sample: 203Jun 2025: 26.8%; sample: 183Jul 2025: 45.3%; sample: 181Aug 2025: 31.1%; sample: 180Sep 2025: 40.7%; sample: 194Oct 2025: 29.4%; sample: 204Nov 2025: 20.7%; sample: 217Dec 2025: 18.4%; sample: 217Jan 2026: 37.7%; sample: 1752026Feb 2026: 15.8%; sample: 171Mar 2026: 10.8%; sample: 222Apr 2026: 20.9%; sample: 191May 2026: 15.6%; sample: 192Jun 2026: 30.4%; sample: 181Pandemic 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 201823.3% of 309 movements
Feb 201823.3% of 300 movements
Mar 201830.5% of 344 movements
Apr 201819.5% of 307 movements
May 201819.9% of 316 movements
Jun 201835.8% of 307 movements
Jul 201829.1% of 299 movements
Aug 201828.9% of 294 movements
Sep 201837.0% of 308 movements
Oct 201821.1% of 327 movements
Nov 201823.5% of 311 movements
Dec 201824.3% of 309 movements
Jan 201918.9% of 302 movements
Feb 201926.6% of 290 movements
Mar 201947.6% of 311 movements
Apr 201919.9% of 276 movements
May 201937.4% of 289 movements
Jun 201937.3% of 276 movements
Jul 201928.5% of 288 movements
Aug 201922.7% of 282 movements
Sep 201933.0% of 279 movements
Oct 201920.6% of 296 movements
Nov 201911.8% of 304 movements
Dec 201913.0% of 299 movements
Jan 20208.1% of 297 movements
Feb 202019.4% of 294 movements
Mar 202036.6% of 202 movements
Apr 202025.0% of 28 movements — small sample, not ranked
May 20203.4% of 29 movements — small sample, not ranked
Jun 20206.7% of 30 movements — small sample, not ranked
Jul 20203.2% of 31 movements — small sample, not ranked
Aug 20201.1% of 90 movements
Sep 20204.7% of 107 movements
Oct 20202.1% of 95 movements
Nov 20201.5% of 66 movements
Dec 20206.3% of 63 movements
Jan 202142.2% of 64 movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 202131.0% of 42 movements — small sample, not ranked
May 20215.0% of 60 movements
Jun 202115.8% of 76 movements
Jul 20215.4% of 93 movements
Aug 202116.1% of 93 movements
Sep 202124.8% of 109 movements
Oct 202124.1% of 137 movements
Nov 202121.0% of 119 movements
Dec 202118.9% of 132 movements
Jan 202215.6% of 96 movements
Feb 202226.2% of 84 movements
Mar 202212.8% of 117 movements
Apr 202232.4% of 185 movements
May 202246.1% of 230 movements
Jun 202245.6% of 226 movements
Jul 202240.0% of 155 movements
Aug 202227.6% of 152 movements
Sep 202242.7% of 213 movements
Oct 202221.1% of 190 movements
Nov 20229.6% of 136 movements
Dec 202224.3% of 136 movements
Jan 202311.6% of 138 movements
Feb 20233.6% of 112 movements
Mar 202323.5% of 153 movements
Apr 202315.8% of 183 movements
May 202321.8% of 197 movements
Jun 202325.0% of 184 movements
Jul 202328.8% of 156 movements
Aug 202329.4% of 160 movements
Sep 202328.3% of 191 movements
Oct 202328.3% of 205 movements
Nov 202336.3% of 190 movements
Dec 202337.4% of 198 movements
Jan 202434.1% of 167 movements
Feb 202420.6% of 180 movements
Mar 202420.7% of 208 movements
Apr 202432.2% of 202 movements
May 202425.4% of 205 movements
Jun 202433.3% of 186 movements
Jul 202433.3% of 165 movements
Aug 202426.8% of 168 movements
Sep 202433.0% of 197 movements
Oct 202428.8% of 208 movements
Nov 202422.1% of 199 movements
Dec 202423.9% of 213 movements
Jan 202534.4% of 180 movements
Feb 202523.2% of 177 movements
Mar 202516.9% of 213 movements
Apr 202514.1% of 199 movements
May 202520.2% of 203 movements
Jun 202526.8% of 183 movements
Jul 202545.3% of 181 movements
Aug 202531.1% of 180 movements
Sep 202540.7% of 194 movements
Oct 202529.4% of 204 movements
Nov 202520.7% of 217 movements
Dec 202518.4% of 217 movements
Jan 202637.7% of 175 movements
Feb 202615.8% of 171 movements
Mar 202610.8% of 222 movements
Apr 202620.9% of 191 movements
May 202615.6% of 192 movements
Jun 202630.4% of 181 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 2020Arrivals6.7% of 30 movements — small sample, not ranked21.6% across 2,874 flightsreturned the next month
Pandemic regime · Jun 2020Departuresno events in 30 movements — small sample, not ranked30.4% across 2,868 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals40.0% of 155 movements24.1% across 1,621 flightsreturned after 3 months
Summer 2022 breakdown · Jul 2022Departures57.1% of 154 movements36.0% across 1,627 flightsreturned after 3 months
NATS system failure · Aug 2023Arrivals29.4% of 160 movements21.3% across 1,950 flightsreturned after 6 months
NATS system failure · Aug 2023Departures44.7% of 161 movements34.7% across 1,952 flightsreturned after 6 months
Heathrow fire closure · Mar 2025Arrivals16.9% of 213 movements28.1% across 2,308 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures26.0% of 215 movements39.3% across 2,306 flightsreturned the next month
Definitions, denominators and limits

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

Which time of year has historically been hardest?

September has historically been the hardest month on this route: in a typical September, 35.0% of arrivals were disrupted, measured across 6 Septembers in the archive. April has been the calmest, at 19.9% across 7 Aprils.

Even September has ranged from 28.3% to 42.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201918.9% of 302 movements26.6% of 290 movements47.6% of 311 movements19.9% of 276 movements37.4% of 289 movements37.3% of 276 movements28.5% of 288 movements22.7% of 282 movements33.0% of 279 movements20.6% of 296 movements11.8% of 304 movements13.0% of 299 movements20208.1% of 297 movements19.4% of 294 movements36.6% of 202 movements25.0% of 28 movements †3.4% of 29 movements †6.7% of 30 movements †3.2% of 31 movements †1.1% of 90 movements4.7% of 107 movements2.1% of 95 movements1.5% of 66 movements6.3% of 63 movements202142.2% of 64 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements31.0% of 42 movements †5.0% of 60 movements15.8% of 76 movements5.4% of 93 movements16.1% of 93 movements24.8% of 109 movements24.1% of 137 movements21.0% of 119 movements18.9% of 132 movements202215.6% of 96 movements26.2% of 84 movements12.8% of 117 movements32.4% of 185 movements46.1% of 230 movements45.6% of 226 movements40.0% of 155 movements27.6% of 152 movements42.7% of 213 movements21.1% of 190 movements9.6% of 136 movements24.3% of 136 movements202311.6% of 138 movements3.6% of 112 movements23.5% of 153 movements15.8% of 183 movements21.8% of 197 movements25.0% of 184 movements28.8% of 156 movements29.4% of 160 movements28.3% of 191 movements28.3% of 205 movements36.3% of 190 movements37.4% of 198 movements202434.1% of 167 movements20.6% of 180 movements20.7% of 208 movements32.2% of 202 movements25.4% of 205 movements33.3% of 186 movements33.3% of 165 movements26.8% of 168 movements33.0% of 197 movements28.8% of 208 movements22.1% of 199 movements23.9% of 213 movements202534.4% of 180 movements23.2% of 177 movements16.9% of 213 movements14.1% of 199 movements20.2% of 203 movements26.8% of 183 movements45.3% of 181 movements31.1% of 180 movements40.7% of 194 movements29.4% of 204 movements20.7% of 217 movements18.4% of 217 movements202637.7% of 175 movements15.8% of 171 movements10.8% of 222 movements20.9% of 191 movements15.6% of 192 movements30.4% of 181 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan23.3%11.6–37.7%7 months, 1,367 flights
Feb23.2%3.6–26.6%7 months, 1,314 flights
Mar20.7%10.8–47.6%7 months, 1,568 flights
Apr19.9%14.1–32.4%7 months, 1,543 flights
May21.8%15.6–46.1%7 months, 1,632 flights
Jun33.3%25.0–45.6%7 months, 1,543 flights
Jul31.2%28.5–45.3%6 months, 1,244 flights
Aug28.3%22.7–31.1%6 months, 1,236 flights
Sep35.0%28.3–42.7%6 months, 1,382 flights
Oct24.7%20.6–29.4%6 months, 1,430 flights
Nov21.4%9.6–36.3%6 months, 1,357 flights
Dec24.1%13.0–37.4%6 months, 1,372 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: Easyjet Europe 17.3% of 544 movements, Klm 27.7% of 1,685 movements, Easyjet Uk 44.8% of 96 movements. Observed shares differ; the mix of operations is not matched, so no causal conclusion follows.

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 Europe17.3% of 544 flightsEasyjet Uk44.8% of 96 flightsKlm27.7% of 1,685 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Hamburgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Corendon Dutch Airlinessuppressed: 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 Europe54417.3% of 544 movements2.4% of 544 movements0.6% of 544 movementsdescriptive comparison
Easyjet Uk9644.8% of 96 movements3.1% of 96 movementsno events in 96 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
Klm1,68527.7% of 1,685 movements3.1% of 1,685 movements0.3% of 1,685 movementsdescriptive comparison
Tui Fly Netherlandssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

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

Would another UK airport have been better?

Among UK airports flying to this city with enough flights to publish, LCY had the lowest disruption share at 16.7% of 3,758 movements and BFS the highest at 41.3% of 213 movements. This route sits at 26.0% of 2,325 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 ↔ Ams22.9% of 1,715 flightsBfs ↔ Ams41.3% of 213 flightsBhd ↔ Ams18.9% of 661 flightsBrs ↔ Ams30.4% of 2,208 flightsCwl ↔ Ams22.2% of 729 flightsEdi ↔ Ams27.9% of 2,433 flightsExt ↔ Ams18.5% of 356 flightsGla ↔ Ams25.7% of 1,560 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Ams1,71522.9% of 1,715 movements4.2% of 1,715 movementsno events in 1,715 movementsdescriptive comparison
Bfs ↔ Ams21341.3% of 213 movements2.3% of 213 movements0.5% of 213 movementsdescriptive comparison
Bhd ↔ Ams66118.9% of 661 movements2.1% of 661 movementsno events in 661 movementsdescriptive comparison
Boh ↔ Amssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Ams2,20830.4% of 2,208 movements2.4% of 2,208 movements0.6% of 2,208 movementsdescriptive comparison
Cwl ↔ Ams72922.2% of 729 movements4.1% of 729 movements0.4% of 729 movementsdescriptive comparison
Doncaster-Sheffield ↔ Amssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Amssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Ams2,43327.9% of 2,433 movements2.7% of 2,433 movements0.4% of 2,433 movementsdescriptive comparison
Ema ↔ Amssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Ams35618.5% of 356 movements4.2% of 356 movementsno events in 356 movementsdescriptive comparison
Gla ↔ Ams1,56025.7% of 1,560 movements2.2% of 1,560 movements0.3% of 1,560 movementsdescriptive comparison
Jer ↔ Amssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Ams1,13024.3% of 1,130 movements3.5% of 1,130 movements0.1% of 1,130 movementsdescriptive comparison
Lcy ↔ Ams3,75816.7% of 3,758 movements2.8% of 3,758 movements0.3% of 3,758 movementsdescriptive comparison
Lgw ↔ Ams1,82127.3% of 1,821 movements2.1% of 1,821 movements0.6% of 1,821 movementsdescriptive comparison
Lhr ↔ Ams5,65524.4% of 5,655 movements2.6% of 5,655 movements0.3% of 5,655 movementsdescriptive comparison
Lpl ↔ Ams39223.7% of 392 movements2.3% of 392 movements0.3% of 392 movementsdescriptive comparison
Ltn ↔ Ams1,65330.2% of 1,653 movements1.7% of 1,653 movements0.7% of 1,653 movementsdescriptive comparison
Man ↔ Ams3,77738.4% of 3,777 movements2.4% of 3,777 movements0.5% of 3,777 movementsdescriptive comparison
Mme ↔ Ams84623.0% of 846 movements4.3% of 846 movements0.4% of 846 movementsdescriptive comparison
Ncl ↔ Ams1,82928.0% of 1,829 movements1.6% of 1,829 movements0.5% of 1,829 movementsdescriptive comparison
Sen ↔ Ams25026.8% of 250 movements0.4% of 250 movementsno events in 250 movementsdescriptive comparison
Sou ↔ Ams78923.3% of 789 movements3.0% of 789 movements0.3% of 789 movementsdescriptive comparison
Stn ↔ Ams49325.4% of 493 movements2.2% of 493 movements0.2% of 493 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into BHX ran 26.0% of 2,325 movements disrupted, departures 34.8% of 2,324 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 BHX26.0% of 2,325 movements2.9% of 2,325 movements0.3% of 2,325 movements
Departures from BHX34.8% of 2,324 movements3.1% of 2,324 movements0.8% of 2,324 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 202680 flights out of 19,26280 × £220 = £17,600
ArrivalsLast 72 months · Jul 2020–Jun 202640 flights out of 11,15940 × £220 = £8,800
DeparturesWhole archive · Jan 2018–Jun 2026106 flights out of 19,245106 × £220 = £23,320
DeparturesLast 72 months · Jul 2020–Jun 202671 flights out of 11,16871 × £220 = £15,620
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 airportBIRMINGHAM · BHX
Final point / countryAMSTERDAM / NETHERLANDS
Final point codesAMS / EHAM
Great-circle distance442 km
Maximum statutory amount for the band£220
Average operated arrivals per day6.18
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 archive101

origin_destination is the final point of the CAA service, not evidence of a nonstop connection. The distance joins the coordinates of the named airports; the actual track is unknown. Frequency describes published operations.

What this data cannot tell you

Delay cause is not published in the regulator's open data. Monthly aggregates describe a population, not a specific flight. Cells below twenty operations are suppressed; twenty to forty-nine are descriptive only and not ranked. Arrivals and departures do not add up. Cancellations are short-notice only, by the CAA definition. A movement is not the same as a scheduled flight.

0 operations (0.00%) excluded because their published percentages could not be reconciled to whole numbers. Excluded operations enter neither the numerator nor the denominator. Outcome figures and comparisons are unavailable when the excluded share exceeds fifteen percent.

Data-quality counters for this route

Zero observed events does not mean zero risk. Operator coverage against the Summary file is not established in this record; comparisons are limited to the published population.

Unmatched records: 0; all recorded operations: 2,325; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

26.0% of 2,325 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.9% of 2,325 movements in the same window.

How many delays crossed three hours?

0.3% of 2,325 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?

442 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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