UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ MUMBAI

In the twelve months from July 2025 to June 2026, 35.7% of 2,816 movements arriving into LHR were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 64.3% of 2,816 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 70 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, 35.7% of 2,816 movements were disrupted and 1.4% of 2,816 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
35.7% of 2,816 movements1.4% of 2,816 movements39.1–64.8 min; N of delayed flights=965–1,5302,816
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 1.4% of 2,816 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 min34.3%30 min21.4%60 min8.8%120 min3.1%180 min1.4%360 min0.5%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min34.3% of 2,816 movements9652.9
>30 min21.4% of 2,816 movements6034.7
>60 min8.8% of 2,816 movements24811.4
>120 min3.1% of 2,816 movements8632.7
>180 min1.4% of 2,816 movements4070.4
>360 min0.5% of 2,816 movements13216.6
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 early66823.7%15–1 early57920.6%0–15 late56520.1%16–3036212.9%31–6035512.6%61…1201625.8%121…180461.6%181…360271.0%>360130.5%D=2,816
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0558; 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: Sep 2020, 3.7% of 54 movements. Worst month: Oct 2024, 81.9% of 182 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: 36.6%; sample: 1862018Feb 2018: 38.1%; sample: 168Mar 2018: 37.1%; sample: 178Apr 2018: 30.6%; sample: 180May 2018: 28.0%; sample: 186Jun 2018: 16.1%; sample: 180Jul 2018: 11.8%; sample: 186Aug 2018: 7.0%; sample: 186Sep 2018: 13.9%; sample: 166Oct 2018: 22.6%; sample: 186Nov 2018: 11.7%; sample: 180Dec 2018: 33.3%; sample: 186Jan 2019: 40.3%; sample: 1862019Feb 2019: 25.0%; sample: 168Mar 2019: 47.0%; sample: 185Apr 2019: 39.8%; sample: 118May 2019: 26.9%; sample: 93Jun 2019: 42.2%; sample: 90Jul 2019: 37.3%; sample: 110Aug 2019: 27.0%; sample: 111Sep 2019: 31.7%; sample: 101Oct 2019: 50.9%; sample: 106Nov 2019: 30.8%; sample: 120Dec 2019: 37.6%; sample: 125Jan 2020: 55.4%; sample: 1392020Feb 2020: 78.0%; sample: 127Mar 2020: 46.4%; sample: 97Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 10.0%; sample: 20Aug 2020: 16.0%; sample: 25Sep 2020: 3.7%; sample: 54Oct 2020: 17.1%; sample: 76Nov 2020: 12.1%; sample: 58Dec 2020: 20.0%; sample: 50Jan 2021: 46.2%; sample: 392021Feb 2021: 34.1%; sample: 41Mar 2021: 36.4%; sample: 44Apr 2021: 35.0%; sample: 40May 2021: 23.8%; sample: 42Jun 2021: 4.9%; sample: 41Jul 2021: 14.3%; sample: 42Aug 2021: 20.8%; sample: 53Sep 2021: 37.5%; sample: 72Oct 2021: 55.3%; sample: 76Nov 2021: 34.7%; sample: 75Dec 2021: 56.8%; sample: 74Jan 2022: 41.6%; sample: 772022Feb 2022: 36.8%; sample: 68Mar 2022: 17.3%; sample: 75Apr 2022: 34.1%; sample: 82May 2022: 26.5%; sample: 98Jun 2022: 43.3%; sample: 120Jul 2022: 29.3%; sample: 123Aug 2022: 13.8%; sample: 116Sep 2022: 25.9%; sample: 116Oct 2022: 42.4%; sample: 125Nov 2022: 23.1%; sample: 173Dec 2022: 51.8%; sample: 191Jan 2023: 44.3%; sample: 2122023Feb 2023: 49.0%; sample: 192Mar 2023: 45.9%; sample: 207Apr 2023: 47.1%; sample: 172May 2023: 35.3%; sample: 167Jun 2023: 31.6%; sample: 174Jul 2023: 31.0%; sample: 197Aug 2023: 30.3%; sample: 208Sep 2023: 33.3%; sample: 201Oct 2023: 54.1%; sample: 209Nov 2023: 43.5%; sample: 223Dec 2023: 48.9%; sample: 223Jan 2024: 44.6%; sample: 2332024Feb 2024: 50.9%; sample: 220Mar 2024: 25.7%; sample: 218Apr 2024: 64.7%; sample: 150May 2024: 50.3%; sample: 173Jun 2024: 56.6%; sample: 159Jul 2024: 62.6%; sample: 179Aug 2024: 69.9%; sample: 186Sep 2024: 52.8%; sample: 180Oct 2024: 81.9%; sample: 182Nov 2024: 46.8%; sample: 190Dec 2024: 26.7%; sample: 217Jan 2025: 16.7%; sample: 2162025Feb 2025: 14.9%; sample: 195Mar 2025: 16.7%; sample: 204Apr 2025: 22.8%; sample: 206May 2025: 28.2%; sample: 216Jun 2025: 30.5%; sample: 210Jul 2025: 21.9%; sample: 196Aug 2025: 13.4%; sample: 217Sep 2025: 25.2%; sample: 210Oct 2025: 33.7%; sample: 208Nov 2025: 27.4%; sample: 248Dec 2025: 25.8%; sample: 252Jan 2026: 47.2%; sample: 2652026Feb 2026: 39.2%; sample: 240Mar 2026: 45.2%; sample: 259Apr 2026: 63.3%; sample: 240May 2026: 47.1%; sample: 242Jun 2026: 31.0%; sample: 239Pandemic 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 201836.6% of 186 movements
Feb 201838.1% of 168 movements
Mar 201837.1% of 178 movements
Apr 201830.6% of 180 movements
May 201828.0% of 186 movements
Jun 201816.1% of 180 movements
Jul 201811.8% of 186 movements
Aug 20187.0% of 186 movements
Sep 201813.9% of 166 movements
Oct 201822.6% of 186 movements
Nov 201811.7% of 180 movements
Dec 201833.3% of 186 movements
Jan 201940.3% of 186 movements
Feb 201925.0% of 168 movements
Mar 201947.0% of 185 movements
Apr 201939.8% of 118 movements
May 201926.9% of 93 movements
Jun 201942.2% of 90 movements
Jul 201937.3% of 110 movements
Aug 201927.0% of 111 movements
Sep 201931.7% of 101 movements
Oct 201950.9% of 106 movements
Nov 201930.8% of 120 movements
Dec 201937.6% of 125 movements
Jan 202055.4% of 139 movements
Feb 202078.0% of 127 movements
Mar 202046.4% of 97 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 202010.0% of 20 movements — small sample, not ranked
Aug 202016.0% of 25 movements — small sample, not ranked
Sep 20203.7% of 54 movements
Oct 202017.1% of 76 movements
Nov 202012.1% of 58 movements
Dec 202020.0% of 50 movements
Jan 202146.2% of 39 movements — small sample, not ranked
Feb 202134.1% of 41 movements — small sample, not ranked
Mar 202136.4% of 44 movements — small sample, not ranked
Apr 202135.0% of 40 movements — small sample, not ranked
May 202123.8% of 42 movements — small sample, not ranked
Jun 20214.9% of 41 movements — small sample, not ranked
Jul 202114.3% of 42 movements — small sample, not ranked
Aug 202120.8% of 53 movements
Sep 202137.5% of 72 movements
Oct 202155.3% of 76 movements
Nov 202134.7% of 75 movements
Dec 202156.8% of 74 movements
Jan 202241.6% of 77 movements
Feb 202236.8% of 68 movements
Mar 202217.3% of 75 movements
Apr 202234.1% of 82 movements
May 202226.5% of 98 movements
Jun 202243.3% of 120 movements
Jul 202229.3% of 123 movements
Aug 202213.8% of 116 movements
Sep 202225.9% of 116 movements
Oct 202242.4% of 125 movements
Nov 202223.1% of 173 movements
Dec 202251.8% of 191 movements
Jan 202344.3% of 212 movements
Feb 202349.0% of 192 movements
Mar 202345.9% of 207 movements
Apr 202347.1% of 172 movements
May 202335.3% of 167 movements
Jun 202331.6% of 174 movements
Jul 202331.0% of 197 movements
Aug 202330.3% of 208 movements
Sep 202333.3% of 201 movements
Oct 202354.1% of 209 movements
Nov 202343.5% of 223 movements
Dec 202348.9% of 223 movements
Jan 202444.6% of 233 movements
Feb 202450.9% of 220 movements
Mar 202425.7% of 218 movements
Apr 202464.7% of 150 movements
May 202450.3% of 173 movements
Jun 202456.6% of 159 movements
Jul 202462.6% of 179 movements
Aug 202469.9% of 186 movements
Sep 202452.8% of 180 movements
Oct 202481.9% of 182 movements
Nov 202446.8% of 190 movements
Dec 202426.7% of 217 movements
Jan 202516.7% of 216 movements
Feb 202514.9% of 195 movements
Mar 202516.7% of 204 movements
Apr 202522.8% of 206 movements
May 202528.2% of 216 movements
Jun 202530.5% of 210 movements
Jul 202521.9% of 196 movements
Aug 202513.4% of 217 movements
Sep 202525.2% of 210 movements
Oct 202533.7% of 208 movements
Nov 202527.4% of 248 movements
Dec 202525.8% of 252 movements
Jan 202647.2% of 265 movements
Feb 202639.2% of 240 movements
Mar 202645.2% of 259 movements
Apr 202663.3% of 240 movements
May 202647.1% of 242 movements
Jun 202631.0% of 239 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 2022Arrivals29.3% of 123 movements34.9% across 912 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures70.6% of 126 movements52.5% across 901 flightsreturned the next month
NATS system failure · Aug 2023Arrivals30.3% of 208 movements36.8% across 2,042 flightsreturned the next month
NATS system failure · Aug 2023Departures38.0% of 208 movements39.7% across 2,043 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals16.7% of 204 movements47.5% across 2,245 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures25.9% of 205 movements42.9% across 2,245 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?

October has historically been the hardest month on this route: in a typical October, 46.7% of arrivals were disrupted, measured across 6 Octobers in the archive. August has been the calmest, at 20.4% across 6 Augusts.

Even October has ranged from 22.6% to 81.9% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201940.3% of 186 movements25.0% of 168 movements47.0% of 185 movements39.8% of 118 movements26.9% of 93 movements42.2% of 90 movements37.3% of 110 movements27.0% of 111 movements31.7% of 101 movements50.9% of 106 movements30.8% of 120 movements37.6% of 125 movements202055.4% of 139 movements78.0% of 127 movements46.4% of 97 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements10.0% of 20 movements †16.0% of 25 movements †3.7% of 54 movements17.1% of 76 movements12.1% of 58 movements20.0% of 50 movements202146.2% of 39 movements †34.1% of 41 movements †36.4% of 44 movements †35.0% of 40 movements †23.8% of 42 movements †4.9% of 41 movements †14.3% of 42 movements †20.8% of 53 movements37.5% of 72 movements55.3% of 76 movements34.7% of 75 movements56.8% of 74 movements202241.6% of 77 movements36.8% of 68 movements17.3% of 75 movements34.1% of 82 movements26.5% of 98 movements43.3% of 120 movements29.3% of 123 movements13.8% of 116 movements25.9% of 116 movements42.4% of 125 movements23.1% of 173 movements51.8% of 191 movements202344.3% of 212 movements49.0% of 192 movements45.9% of 207 movements47.1% of 172 movements35.3% of 167 movements31.6% of 174 movements31.0% of 197 movements30.3% of 208 movements33.3% of 201 movements54.1% of 209 movements43.5% of 223 movements48.9% of 223 movements202444.6% of 233 movements50.9% of 220 movements25.7% of 218 movements64.7% of 150 movements50.3% of 173 movements56.6% of 159 movements62.6% of 179 movements69.9% of 186 movements52.8% of 180 movements81.9% of 182 movements46.8% of 190 movements26.7% of 217 movements202516.7% of 216 movements14.9% of 195 movements16.7% of 204 movements22.8% of 206 movements28.2% of 216 movements30.5% of 210 movements21.9% of 196 movements13.4% of 217 movements25.2% of 210 movements33.7% of 208 movements27.4% of 248 movements25.8% of 252 movements202647.2% of 265 movements39.2% of 240 movements45.2% of 259 movements63.3% of 240 movements47.1% of 242 movements31.0% of 239 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan41.6%16.7–47.2%7 months, 1,375 flights
Feb38.1%14.9–50.9%7 months, 1,251 flights
Mar37.1%16.7–47.0%7 months, 1,326 flights
Apr39.8%22.8–64.7%7 months, 1,148 flights
May28.2%26.5–50.3%7 months, 1,175 flights
Jun31.6%16.1–56.6%7 months, 1,172 flights
Jul30.1%11.8–62.6%6 months, 991 flights
Aug20.4%7.0–69.9%6 months, 1,024 flights
Sep28.8%13.9–52.8%6 months, 974 flights
Oct46.7%22.6–81.9%6 months, 1,016 flights
Nov29.1%11.7–46.8%6 months, 1,134 flights
Dec35.5%25.8–51.8%6 months, 1,194 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: Virgin Atlantic Airways 25.7% of 731 movements, British Airways 26.0% of 1,011 movements, Air Canada 37.0% of 92 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 optionAir Canada37.0% of 92 flightsAir India47.5% of 735 flightsBritish Airways26.0% of 1,011 flightsIndigo68.8% of 247 flightsVirgin Atlantic Airways25.7% of 731 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Canada9237.0% of 92 movements3.3% of 92 movements2.2% of 92 movementsdescriptive comparison
Air India73547.5% of 735 movements1.1% of 735 movements2.7% of 735 movementsdescriptive comparison
British Airways1,01126.0% of 1,011 movements1.1% of 1,011 movements1.2% of 1,011 movementsdescriptive comparison
Indigo24768.8% of 247 movements4.0% of 247 movements2.0% of 247 movementsdescriptive comparison
Jet Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tata Sia Airlines (Vistara)suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Virgin Atlantic Airways73125.7% of 731 movements1.0% of 731 movements0.1% of 731 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, MAN had the lowest disruption share at 69.3% of 192 movements and MAN the highest at 69.3% of 192 movements. This route sits at 35.7% of 2,816 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 optionMan ↔ Mumbai69.3% of 192 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Mumbaisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Mumbaisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Mumbaisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Mumbaisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Mumbai19269.3% of 192 movements5.7% of 192 movements4.2% of 192 movementsdescriptive comparison
Stn ↔ Mumbaisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 35.7% of 2,816 movements disrupted, departures 35.6% of 2,816 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 LHR35.7% of 2,816 movements1.4% of 2,816 movements1.4% of 2,816 movements
Departures from LHR35.6% of 2,816 movements1.5% of 2,816 movements1.4% of 2,816 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 2026219 flights out of 15,094219 × £520 = £113,880
ArrivalsLast 72 months · Jul 2020–Jun 2026175 flights out of 11,021175 × £520 = £91,000
DeparturesWhole archive · Jan 2018–Jun 2026208 flights out of 15,046208 × £520 = £108,160
DeparturesLast 72 months · Jul 2020–Jun 2026156 flights out of 10,983156 × £520 = £81,120
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 airportHEATHROW · LHR
Final point / countryMUMBAI / INDIA
Final point codesBOM / VABB
Great-circle distance7,213 km
Maximum statutory amount for the band£520
Average operated arrivals per day7.61
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 archive102

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: 2,816; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

35.7% of 2,816 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.4% of 2,816 movements in the same window.

How many delays crossed three hours?

1.4% of 2,816 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?

7,213 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

Was your flight delayed 3h+? Check what you may be owed

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