UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

EDI ↔ AMS

In the twelve months from July 2025 to June 2026, 27.9% of 2,433 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, 72.1% of 2,433 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 243 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, 27.9% of 2,433 movements were disrupted and 2.7% of 2,433 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
27.9% of 2,433 movements2.7% of 2,433 movements23.1–56.7 min; N of delayed flights=614–1,4052,433
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: 2.7% of 2,433 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 min25.2%30 min13.2%60 min5.3%120 min1.6%180 min0.4%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min25.2% of 2,433 movements6144.0
>30 min13.2% of 2,433 movements3217.6
>60 min5.3% of 2,433 movements12918.9
>120 min1.6% of 2,433 movements3962.4
>180 min0.4% of 2,433 movements10243.3
>360 minno events in 2,433 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 early1757.2%15–1 early78732.3%0–15 late79132.5%16–3029312.0%31–601927.9%61…120903.7%121…180291.2%181…360100.4%>36000.0%D=2,433
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0206; 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, 0.9% of 117 movements. Worst month: Jul 2022, 58.4% of 154 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: 23.4%; sample: 1582018Feb 2018: 16.3%; sample: 153Mar 2018: 22.7%; sample: 194Apr 2018: 20.5%; sample: 220May 2018: 23.6%; sample: 225Jun 2018: 36.2%; sample: 218Jul 2018: 25.4%; sample: 252Aug 2018: 21.8%; sample: 257Sep 2018: 33.6%; sample: 220Oct 2018: 24.5%; sample: 220Nov 2018: 13.2%; sample: 182Dec 2018: 25.1%; sample: 183Jan 2019: 19.4%; sample: 1602019Feb 2019: 14.4%; sample: 153Mar 2019: 33.3%; sample: 186Apr 2019: 27.9%; sample: 190May 2019: 47.2%; sample: 195Jun 2019: 46.6%; sample: 189Jul 2019: 36.7%; sample: 221Aug 2019: 21.8%; sample: 225Sep 2019: 42.1%; sample: 195Oct 2019: 38.0%; sample: 192Nov 2019: 8.3%; sample: 180Dec 2019: 17.8%; sample: 185Jan 2020: 11.2%; sample: 1602020Feb 2020: 25.6%; sample: 160Mar 2020: 6.0%; sample: 134Apr 2020: suppressed: fewer than twenty movements×May 2020: 3.6%; sample: 28Jun 2020: 3.3%; sample: 30Jul 2020: 4.3%; sample: 46Aug 2020: 0.9%; sample: 117Sep 2020: 4.4%; sample: 114Oct 2020: 2.5%; sample: 79Nov 2020: 3.8%; sample: 53Dec 2020: 9.4%; sample: 64Jan 2021: 10.5%; sample: 572021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: 11.8%; sample: 51May 2021: 3.3%; sample: 61Jun 2021: 5.5%; sample: 73Jul 2021: 6.2%; sample: 96Aug 2021: 27.9%; sample: 104Sep 2021: 25.5%; sample: 102Oct 2021: 36.1%; sample: 108Nov 2021: 11.0%; sample: 146Dec 2021: 13.9%; sample: 158Jan 2022: 21.6%; sample: 1112022Feb 2022: 34.5%; sample: 113Mar 2022: 12.8%; sample: 156Apr 2022: 45.6%; sample: 171May 2022: 51.1%; sample: 180Jun 2022: 57.0%; sample: 172Jul 2022: 58.4%; sample: 154Aug 2022: 29.6%; sample: 169Sep 2022: 47.1%; sample: 155Oct 2022: 19.6%; sample: 153Nov 2022: 11.2%; sample: 134Dec 2022: 25.4%; sample: 142Jan 2023: 12.7%; sample: 1422023Feb 2023: 10.7%; sample: 140Mar 2023: 24.0%; sample: 167Apr 2023: 23.3%; sample: 163May 2023: 30.9%; sample: 178Jun 2023: 31.3%; sample: 166Jul 2023: 35.2%; sample: 216Aug 2023: 34.1%; sample: 211Sep 2023: 35.0%; sample: 180Oct 2023: 37.4%; sample: 190Nov 2023: 23.4%; sample: 184Dec 2023: 41.4%; sample: 186Jan 2024: 31.0%; sample: 1552024Feb 2024: 22.8%; sample: 162Mar 2024: 18.8%; sample: 192Apr 2024: 37.6%; sample: 202May 2024: 21.9%; sample: 215Jun 2024: 33.0%; sample: 212Jul 2024: 36.9%; sample: 222Aug 2024: 26.9%; sample: 223Sep 2024: 32.4%; sample: 207Oct 2024: 19.4%; sample: 211Nov 2024: 26.1%; sample: 203Dec 2024: 33.3%; sample: 222Jan 2025: 33.3%; sample: 1862025Feb 2025: 17.7%; sample: 181Mar 2025: 16.1%; sample: 217Apr 2025: 15.1%; sample: 186May 2025: 28.0%; sample: 193Jun 2025: 29.7%; sample: 195Jul 2025: 40.4%; sample: 235Aug 2025: 31.4%; sample: 229Sep 2025: 34.0%; sample: 188Oct 2025: 34.2%; sample: 199Nov 2025: 21.9%; sample: 219Dec 2025: 20.9%; sample: 220Jan 2026: 40.1%; sample: 1672026Feb 2026: 20.9%; sample: 163Mar 2026: 20.9%; sample: 225Apr 2026: 14.9%; sample: 195May 2026: 20.5%; sample: 205Jun 2026: 36.2%; sample: 188Pandemic 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 201823.4% of 158 movements
Feb 201816.3% of 153 movements
Mar 201822.7% of 194 movements
Apr 201820.5% of 220 movements
May 201823.6% of 225 movements
Jun 201836.2% of 218 movements
Jul 201825.4% of 252 movements
Aug 201821.8% of 257 movements
Sep 201833.6% of 220 movements
Oct 201824.5% of 220 movements
Nov 201813.2% of 182 movements
Dec 201825.1% of 183 movements
Jan 201919.4% of 160 movements
Feb 201914.4% of 153 movements
Mar 201933.3% of 186 movements
Apr 201927.9% of 190 movements
May 201947.2% of 195 movements
Jun 201946.6% of 189 movements
Jul 201936.7% of 221 movements
Aug 201921.8% of 225 movements
Sep 201942.1% of 195 movements
Oct 201938.0% of 192 movements
Nov 20198.3% of 180 movements
Dec 201917.8% of 185 movements
Jan 202011.2% of 160 movements
Feb 202025.6% of 160 movements
Mar 20206.0% of 134 movements
Apr 2020suppressed: fewer than twenty movements
May 20203.6% of 28 movements — small sample, not ranked
Jun 20203.3% of 30 movements — small sample, not ranked
Jul 20204.3% of 46 movements — small sample, not ranked
Aug 20200.9% of 117 movements
Sep 20204.4% of 114 movements
Oct 20202.5% of 79 movements
Nov 20203.8% of 53 movements
Dec 20209.4% of 64 movements
Jan 202110.5% of 57 movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 202111.8% of 51 movements
May 20213.3% of 61 movements
Jun 20215.5% of 73 movements
Jul 20216.2% of 96 movements
Aug 202127.9% of 104 movements
Sep 202125.5% of 102 movements
Oct 202136.1% of 108 movements
Nov 202111.0% of 146 movements
Dec 202113.9% of 158 movements
Jan 202221.6% of 111 movements
Feb 202234.5% of 113 movements
Mar 202212.8% of 156 movements
Apr 202245.6% of 171 movements
May 202251.1% of 180 movements
Jun 202257.0% of 172 movements
Jul 202258.4% of 154 movements
Aug 202229.6% of 169 movements
Sep 202247.1% of 155 movements
Oct 202219.6% of 153 movements
Nov 202211.2% of 134 movements
Dec 202225.4% of 142 movements
Jan 202312.7% of 142 movements
Feb 202310.7% of 140 movements
Mar 202324.0% of 167 movements
Apr 202323.3% of 163 movements
May 202330.9% of 178 movements
Jun 202331.3% of 166 movements
Jul 202335.2% of 216 movements
Aug 202334.1% of 211 movements
Sep 202335.0% of 180 movements
Oct 202337.4% of 190 movements
Nov 202323.4% of 184 movements
Dec 202341.4% of 186 movements
Jan 202431.0% of 155 movements
Feb 202422.8% of 162 movements
Mar 202418.8% of 192 movements
Apr 202437.6% of 202 movements
May 202421.9% of 215 movements
Jun 202433.0% of 212 movements
Jul 202436.9% of 222 movements
Aug 202426.9% of 223 movements
Sep 202432.4% of 207 movements
Oct 202419.4% of 211 movements
Nov 202426.1% of 203 movements
Dec 202433.3% of 222 movements
Jan 202533.3% of 186 movements
Feb 202517.7% of 181 movements
Mar 202516.1% of 217 movements
Apr 202515.1% of 186 movements
May 202528.0% of 193 movements
Jun 202529.7% of 195 movements
Jul 202540.4% of 235 movements
Aug 202531.4% of 229 movements
Sep 202534.0% of 188 movements
Oct 202534.2% of 199 movements
Nov 202521.9% of 219 movements
Dec 202520.9% of 220 movements
Jan 202640.1% of 167 movements
Feb 202620.9% of 163 movements
Mar 202620.9% of 225 movements
Apr 202614.9% of 195 movements
May 202620.5% of 205 movements
Jun 202636.2% of 188 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 2020Arrivals3.3% of 30 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuresno events in 30 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals58.4% of 154 movements28.6% across 1,617 flightsreturned after 3 months
Summer 2022 breakdown · Jul 2022Departures64.9% of 154 movements31.8% across 1,613 flightsreturned after 3 months
NATS system failure · Aug 2023Arrivals34.1% of 211 movements25.1% across 1,925 flightsreturned after 3 months
NATS system failure · Aug 2023Departures47.9% of 211 movements36.1% across 1,922 flightsreturned after 5 months
Heathrow fire closure · Mar 2025Arrivals16.1% of 217 movements28.1% across 2,476 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.0% of 217 movements37.9% across 2,473 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, 36.8% of arrivals were disrupted, measured across 6 Julys in the archive. November has been the calmest, at 17.6% across 6 Novembers.

Even July has ranged from 25.4% to 58.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201919.4% of 160 movements14.4% of 153 movements33.3% of 186 movements27.9% of 190 movements47.2% of 195 movements46.6% of 189 movements36.7% of 221 movements21.8% of 225 movements42.1% of 195 movements38.0% of 192 movements8.3% of 180 movements17.8% of 185 movements202011.2% of 160 movements25.6% of 160 movements6.0% of 134 movementssuppressed: fewer than twenty movements3.6% of 28 movements †3.3% of 30 movements †4.3% of 46 movements †0.9% of 117 movements4.4% of 114 movements2.5% of 79 movements3.8% of 53 movements9.4% of 64 movements202110.5% of 57 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements11.8% of 51 movements3.3% of 61 movements5.5% of 73 movements6.2% of 96 movements27.9% of 104 movements25.5% of 102 movements36.1% of 108 movements11.0% of 146 movements13.9% of 158 movements202221.6% of 111 movements34.5% of 113 movements12.8% of 156 movements45.6% of 171 movements51.1% of 180 movements57.0% of 172 movements58.4% of 154 movements29.6% of 169 movements47.1% of 155 movements19.6% of 153 movements11.2% of 134 movements25.4% of 142 movements202312.7% of 142 movements10.7% of 140 movements24.0% of 167 movements23.3% of 163 movements30.9% of 178 movements31.3% of 166 movements35.2% of 216 movements34.1% of 211 movements35.0% of 180 movements37.4% of 190 movements23.4% of 184 movements41.4% of 186 movements202431.0% of 155 movements22.8% of 162 movements18.8% of 192 movements37.6% of 202 movements21.9% of 215 movements33.0% of 212 movements36.9% of 222 movements26.9% of 223 movements32.4% of 207 movements19.4% of 211 movements26.1% of 203 movements33.3% of 222 movements202533.3% of 186 movements17.7% of 181 movements16.1% of 217 movements15.1% of 186 movements28.0% of 193 movements29.7% of 195 movements40.4% of 235 movements31.4% of 229 movements34.0% of 188 movements34.2% of 199 movements21.9% of 219 movements20.9% of 220 movements202640.1% of 167 movements20.9% of 163 movements20.9% of 225 movements14.9% of 195 movements20.5% of 205 movements36.2% of 188 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan23.4%12.7–40.1%7 months, 1,079 flights
Feb17.7%10.7–34.5%7 months, 1,065 flights
Mar20.9%12.8–33.3%7 months, 1,337 flights
Apr23.3%14.9–45.6%7 months, 1,327 flights
May28.0%20.5–51.1%7 months, 1,391 flights
Jun36.2%29.7–57.0%7 months, 1,340 flights
Jul36.8%25.4–58.4%6 months, 1,300 flights
Aug28.2%21.8–34.1%6 months, 1,314 flights
Sep34.5%32.4–47.1%6 months, 1,145 flights
Oct29.4%19.4–38.0%6 months, 1,165 flights
Nov17.6%8.3–26.1%6 months, 1,102 flights
Dec25.2%17.8–41.4%6 months, 1,138 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 21.6% of 398 movements, Klm 24.8% of 1,580 movements, Easyjet Uk 44.4% of 455 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 Europe21.6% of 398 flightsEasyjet Uk44.4% of 455 flightsKlm24.8% of 1,580 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Horizontsuppressed: 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 Europe39821.6% of 398 movements3.0% of 398 movementsno events in 398 movementsdescriptive comparison
Easyjet Uk45544.4% of 455 movements2.4% of 455 movements1.3% of 455 movementsdescriptive comparison
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Klm1,58024.8% of 1,580 movements2.7% of 1,580 movements0.3% of 1,580 movementsdescriptive comparison
Transaviasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
United Airlinessuppressed: 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 27.9% of 2,433 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 flightsBhx ↔ Ams26.0% of 2,325 flightsBrs ↔ Ams30.4% of 2,208 flightsCwl ↔ Ams22.2% of 729 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
Bhx ↔ Ams2,32526.0% of 2,325 movements2.9% of 2,325 movements0.3% of 2,325 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
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 EDI ran 27.9% of 2,433 movements disrupted, departures 33.0% of 2,426 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 EDI27.9% of 2,433 movements2.7% of 2,433 movements0.4% of 2,433 movements
Departures from EDI33.0% of 2,426 movements3.0% of 2,426 movements0.6% of 2,426 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 202643 flights out of 16,65843 × £220 = £9,460
ArrivalsLast 72 months · Jul 2020–Jun 202633 flights out of 11,39033 × £220 = £7,260
DeparturesWhole archive · Jan 2018–Jun 202676 flights out of 16,62376 × £220 = £16,720
DeparturesLast 72 months · Jul 2020–Jun 202655 flights out of 11,36055 × £220 = £12,100
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 / countryAMSTERDAM / NETHERLANDS
Final point codesAMS / EHAM
Great-circle distance666 km
Maximum statutory amount for the band£220
Average operated arrivals per day6.48
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: 2,433; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

27.9% of 2,433 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.7% of 2,433 movements in the same window.

How many delays crossed three hours?

0.4% of 2,433 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?

666 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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