UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

BRS ↔ AMS

In the twelve months from July 2025 to June 2026, 30.4% of 2,208 movements arriving into BRS were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 69.6% of 2,208 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 158 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, 30.4% of 2,208 movements were disrupted and 2.4% of 2,208 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
30.4% of 2,208 movements2.4% of 2,208 movements25.9–59.5 min; N of delayed flights=617–1,3342,208
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: 2.4% of 2,208 movements. “One in N” means how many arrivals you would typically see between events at that level.

Delay threshold ladder; count and share of known operations15 min27.9%30 min17.1%60 min7.2%120 min1.9%180 min0.6%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min27.9% of 2,208 movements6173.6
>30 min17.1% of 2,208 movements3775.9
>60 min7.2% of 2,208 movements16013.8
>120 min1.9% of 2,208 movements4153.9
>180 min0.6% of 2,208 movements14157.7
>360 min0.0% of 2,208 movements12,208.0
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 early502.3%15–1 early77034.9%0–15 late71732.5%16–3024010.9%31–602179.8%61…1201195.4%121…180271.2%181…360130.6%>36010.0%D=2,208
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0306; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Oct 2020, no events in 59 movements. Worst month: Apr 2019, 88.2% of 152 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: 20.0%; sample: 1702018Feb 2018: 16.0%; sample: 156Mar 2018: 30.7%; sample: 176Apr 2018: 20.9%; sample: 163May 2018: 20.9%; sample: 172Jun 2018: 34.9%; sample: 166Jul 2018: 15.2%; sample: 178Aug 2018: 20.9%; sample: 177Sep 2018: suppressed: fewer than twenty movements×Oct 2018: suppressed: fewer than twenty movements×Nov 2018: suppressed: fewer than twenty movements×Dec 2018: 32.1%; sample: 162Jan 2019: 23.8%; sample: 1642019Feb 2019: 24.3%; sample: 148Mar 2019: 37.1%; sample: 175Apr 2019: 88.2%; sample: 152May 2019: 39.2%; sample: 176Jun 2019: 41.4%; sample: 169Jul 2019: 25.8%; sample: 178Aug 2019: 18.8%; sample: 176Sep 2019: 37.2%; sample: 172Oct 2019: 31.3%; sample: 179Nov 2019: 19.2%; sample: 167Dec 2019: 22.9%; sample: 175Jan 2020: 14.0%; sample: 1722020Feb 2020: 30.5%; sample: 164Mar 2020: 22.4%; sample: 147Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 2.6%; sample: 39Aug 2020: 3.3%; sample: 61Sep 2020: 5.9%; sample: 101Oct 2020: 0.0%; sample: 59Nov 2020: 0.0%; sample: 24Dec 2020: 2.3%; sample: 44Jan 2021: 9.5%; sample: 212021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: 0.0%; sample: 23Jun 2021: 0.0%; sample: 24Jul 2021: 6.4%; sample: 47Aug 2021: 25.0%; sample: 52Sep 2021: 12.3%; sample: 73Oct 2021: 19.2%; sample: 78Nov 2021: 6.7%; sample: 90Dec 2021: 22.4%; sample: 107Jan 2022: 18.3%; sample: 1092022Feb 2022: 24.4%; sample: 119Mar 2022: 10.7%; sample: 150Apr 2022: 44.7%; sample: 170May 2022: 43.5%; sample: 168Jun 2022: 55.0%; sample: 171Jul 2022: 33.6%; sample: 140Aug 2022: 26.4%; sample: 159Sep 2022: 49.6%; sample: 139Oct 2022: 27.0%; sample: 137Nov 2022: 8.8%; sample: 137Dec 2022: 32.1%; sample: 140Jan 2023: 12.8%; sample: 1412023Feb 2023: 7.1%; sample: 126Mar 2023: 27.3%; sample: 154Apr 2023: 29.2%; sample: 192May 2023: 31.9%; sample: 207Jun 2023: 37.4%; sample: 198Jul 2023: 38.3%; sample: 206Aug 2023: 39.9%; sample: 203Sep 2023: 36.7%; sample: 215Oct 2023: 41.2%; sample: 221Nov 2023: 23.8%; sample: 193Dec 2023: 37.9%; sample: 198Jan 2024: 26.7%; sample: 1802024Feb 2024: 23.9%; sample: 188Mar 2024: 19.0%; sample: 205Apr 2024: 36.4%; sample: 198May 2024: 25.7%; sample: 202Jun 2024: 38.5%; sample: 208Jul 2024: 31.8%; sample: 217Aug 2024: 21.1%; sample: 209Sep 2024: 43.9%; sample: 214Oct 2024: 33.6%; sample: 217Nov 2024: 23.5%; sample: 187Dec 2024: 32.8%; sample: 186Jan 2025: 35.4%; sample: 1752025Feb 2025: 31.2%; sample: 173Mar 2025: 15.5%; sample: 194Apr 2025: 29.0%; sample: 193May 2025: 31.9%; sample: 191Jun 2025: 36.0%; sample: 175Jul 2025: 48.0%; sample: 204Aug 2025: 45.1%; sample: 204Sep 2025: 53.8%; sample: 199Oct 2025: 36.5%; sample: 197Nov 2025: 21.3%; sample: 183Dec 2025: 19.8%; sample: 187Jan 2026: 43.0%; sample: 1512026Feb 2026: 24.0%; sample: 150Mar 2026: 10.9%; sample: 192Apr 2026: 11.4%; sample: 175May 2026: 21.6%; sample: 185Jun 2026: 24.3%; 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 201820.0% of 170 movements
Feb 201816.0% of 156 movements
Mar 201830.7% of 176 movements
Apr 201820.9% of 163 movements
May 201820.9% of 172 movements
Jun 201834.9% of 166 movements
Jul 201815.2% of 178 movements
Aug 201820.9% of 177 movements
Sep 2018suppressed: fewer than twenty movements
Oct 2018suppressed: fewer than twenty movements
Nov 2018suppressed: fewer than twenty movements
Dec 201832.1% of 162 movements
Jan 201923.8% of 164 movements
Feb 201924.3% of 148 movements
Mar 201937.1% of 175 movements
Apr 201988.2% of 152 movements
May 201939.2% of 176 movements
Jun 201941.4% of 169 movements
Jul 201925.8% of 178 movements
Aug 201918.8% of 176 movements
Sep 201937.2% of 172 movements
Oct 201931.3% of 179 movements
Nov 201919.2% of 167 movements
Dec 201922.9% of 175 movements
Jan 202014.0% of 172 movements
Feb 202030.5% of 164 movements
Mar 202022.4% of 147 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20202.6% of 39 movements — small sample, not ranked
Aug 20203.3% of 61 movements
Sep 20205.9% of 101 movements
Oct 2020no events in 59 movements
Nov 2020no events in 24 movements — small sample, not ranked
Dec 20202.3% of 44 movements — small sample, not ranked
Jan 20219.5% of 21 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 2021no events in 23 movements — small sample, not ranked
Jun 2021no events in 24 movements — small sample, not ranked
Jul 20216.4% of 47 movements — small sample, not ranked
Aug 202125.0% of 52 movements
Sep 202112.3% of 73 movements
Oct 202119.2% of 78 movements
Nov 20216.7% of 90 movements
Dec 202122.4% of 107 movements
Jan 202218.3% of 109 movements
Feb 202224.4% of 119 movements
Mar 202210.7% of 150 movements
Apr 202244.7% of 170 movements
May 202243.5% of 168 movements
Jun 202255.0% of 171 movements
Jul 202233.6% of 140 movements
Aug 202226.4% of 159 movements
Sep 202249.6% of 139 movements
Oct 202227.0% of 137 movements
Nov 20228.8% of 137 movements
Dec 202232.1% of 140 movements
Jan 202312.8% of 141 movements
Feb 20237.1% of 126 movements
Mar 202327.3% of 154 movements
Apr 202329.2% of 192 movements
May 202331.9% of 207 movements
Jun 202337.4% of 198 movements
Jul 202338.3% of 206 movements
Aug 202339.9% of 203 movements
Sep 202336.7% of 215 movements
Oct 202341.2% of 221 movements
Nov 202323.8% of 193 movements
Dec 202337.9% of 198 movements
Jan 202426.7% of 180 movements
Feb 202423.9% of 188 movements
Mar 202419.0% of 205 movements
Apr 202436.4% of 198 movements
May 202425.7% of 202 movements
Jun 202438.5% of 208 movements
Jul 202431.8% of 217 movements
Aug 202421.1% of 209 movements
Sep 202443.9% of 214 movements
Oct 202433.6% of 217 movements
Nov 202423.5% of 187 movements
Dec 202432.8% of 186 movements
Jan 202535.4% of 175 movements
Feb 202531.2% of 173 movements
Mar 202515.5% of 194 movements
Apr 202529.0% of 193 movements
May 202531.9% of 191 movements
Jun 202536.0% of 175 movements
Jul 202548.0% of 204 movements
Aug 202545.1% of 204 movements
Sep 202553.8% of 199 movements
Oct 202536.5% of 197 movements
Nov 202521.3% of 183 movements
Dec 202519.8% of 187 movements
Jan 202643.0% of 151 movements
Feb 202624.0% of 150 movements
Mar 202610.9% of 192 movements
Apr 202611.4% of 175 movements
May 202621.6% of 185 movements
Jun 202624.3% 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 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 2022Arrivals33.6% of 140 movements24.0% across 1,334 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures45.5% of 143 movements26.1% across 1,334 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals39.9% of 203 movements27.3% across 1,936 flightsreturned after 3 months
NATS system failure · Aug 2023Departures45.3% of 203 movements31.4% across 1,939 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals15.5% of 194 movements31.1% across 2,391 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures24.7% of 194 movements37.7% across 2,383 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, 43.9% of arrivals were disrupted, measured across 5 Septembers in the archive. March has been the calmest, at 19.0% across 7 Marchs.

Even September has ranged from 36.7% to 53.8% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201923.8% of 164 movements24.3% of 148 movements37.1% of 175 movements88.2% of 152 movements39.2% of 176 movements41.4% of 169 movements25.8% of 178 movements18.8% of 176 movements37.2% of 172 movements31.3% of 179 movements19.2% of 167 movements22.9% of 175 movements202014.0% of 172 movements30.5% of 164 movements22.4% of 147 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2.6% of 39 movements †3.3% of 61 movements5.9% of 101 movementsno events in 59 movementsno events in 24 movements †2.3% of 44 movements †20219.5% of 21 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 23 movements †no events in 24 movements †6.4% of 47 movements †25.0% of 52 movements12.3% of 73 movements19.2% of 78 movements6.7% of 90 movements22.4% of 107 movements202218.3% of 109 movements24.4% of 119 movements10.7% of 150 movements44.7% of 170 movements43.5% of 168 movements55.0% of 171 movements33.6% of 140 movements26.4% of 159 movements49.6% of 139 movements27.0% of 137 movements8.8% of 137 movements32.1% of 140 movements202312.8% of 141 movements7.1% of 126 movements27.3% of 154 movements29.2% of 192 movements31.9% of 207 movements37.4% of 198 movements38.3% of 206 movements39.9% of 203 movements36.7% of 215 movements41.2% of 221 movements23.8% of 193 movements37.9% of 198 movements202426.7% of 180 movements23.9% of 188 movements19.0% of 205 movements36.4% of 198 movements25.7% of 202 movements38.5% of 208 movements31.8% of 217 movements21.1% of 209 movements43.9% of 214 movements33.6% of 217 movements23.5% of 187 movements32.8% of 186 movements202535.4% of 175 movements31.2% of 173 movements15.5% of 194 movements29.0% of 193 movements31.9% of 191 movements36.0% of 175 movements48.0% of 204 movements45.1% of 204 movements53.8% of 199 movements36.5% of 197 movements21.3% of 183 movements19.8% of 187 movements202643.0% of 151 movements24.0% of 150 movements10.9% of 192 movements11.4% of 175 movements21.6% of 185 movements24.3% of 181 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan23.8%12.8–43.0%7 months, 1,090 flights
Feb24.0%7.1–31.2%7 months, 1,060 flights
Mar19.0%10.7–37.1%7 months, 1,246 flights
Apr29.2%11.4–88.2%7 months, 1,243 flights
May31.9%20.9–43.5%7 months, 1,301 flights
Jun37.4%24.3–55.0%7 months, 1,268 flights
Jul32.7%15.2–48.0%6 months, 1,123 flights
Aug23.7%18.8–45.1%6 months, 1,128 flights
Sep43.9%36.7–53.8%5 months, 939 flights
Oct33.6%27.0–41.2%5 months, 951 flights
Nov21.3%8.8–23.8%5 months, 867 flights
Dec32.1%19.8–37.9%6 months, 1,048 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 19.4% of 366 movements, Klm 31.9% of 1,349 movements, Easyjet Uk 34.3% of 493 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 Europe19.4% of 366 flightsEasyjet Uk34.3% of 493 flightsKlm31.9% of 1,349 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 Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Europe36619.4% of 366 movements2.7% of 366 movementsno events in 366 movementsdescriptive comparison
Easyjet Uk49334.3% of 493 movements1.8% of 493 movements1.0% of 493 movementsdescriptive comparison
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Klm1,34931.9% of 1,349 movements2.6% of 1,349 movements0.7% of 1,349 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, 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 30.4% of 2,208 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 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
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
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 BRS ran 30.4% of 2,208 movements disrupted, departures 36.0% of 2,207 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 BRS30.4% of 2,208 movements2.4% of 2,208 movements0.6% of 2,208 movements
Departures from BRS36.0% of 2,207 movements2.9% of 2,207 movements0.9% of 2,207 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 202686 flights out of 14,59486 × £220 = £18,920
ArrivalsLast 72 months · Jul 2020–Jun 202638 flights out of 10,56038 × £220 = £8,360
DeparturesWhole archive · Jan 2018–Jun 202690 flights out of 14,61190 × £220 = £19,800
DeparturesLast 72 months · Jul 2020–Jun 202668 flights out of 10,55968 × £220 = £14,960
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 airportBRISTOL · BRS
Final point / countryAMSTERDAM / NETHERLANDS
Final point codesAMS / EHAM
Great-circle distance524 km
Maximum statutory amount for the band£220
Average operated arrivals per day5.90
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 archive94

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: 2,208; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

30.4% of 2,208 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.4% of 2,208 movements in the same window.

How many delays crossed three hours?

0.6% of 2,208 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?

524 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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