UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ DELHI

In the twelve months from July 2025 to June 2026, 36.8% of 2,950 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, 63.2% of 2,950 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 87 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, 36.8% of 2,950 movements were disrupted and 1.3% of 2,950 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
36.8% of 2,950 movements1.3% of 2,950 movements40.7–61.4 min; N of delayed flights=1,047–1,5102,950
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: 1.3% of 2,950 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 min35.5%30 min23.7%60 min10.0%120 min2.7%180 min1.2%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min35.5% of 2,950 movements1,0472.8
>30 min23.7% of 2,950 movements6984.2
>60 min10.0% of 2,950 movements29610.0
>120 min2.7% of 2,950 movements7937.3
>180 min1.2% of 2,950 movements3486.8
>360 min0.2% of 2,950 movements7421.4
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 early85529.0%15–1 early54718.5%0–15 late46315.7%16–3034911.8%31–6040213.6%61…1202177.4%121…180451.5%181…360270.9%>36070.2%D=2,950
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0453; 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: Jun 2021, 1.9% of 53 movements. Worst month: Mar 2019, 95.7% of 186 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: 48.9%; sample: 1842018Feb 2018: 16.9%; sample: 166Mar 2018: 26.5%; sample: 185Apr 2018: 26.7%; sample: 180May 2018: 19.4%; sample: 186Jun 2018: 21.1%; sample: 180Jul 2018: 17.2%; sample: 186Aug 2018: 17.2%; sample: 186Sep 2018: 6.7%; sample: 180Oct 2018: 11.8%; sample: 186Nov 2018: 9.4%; sample: 180Dec 2018: 15.0%; sample: 187Jan 2019: 22.6%; sample: 1862019Feb 2019: 15.5%; sample: 168Mar 2019: 95.7%; sample: 186Apr 2019: 70.3%; sample: 148May 2019: 42.9%; sample: 154Jun 2019: 39.7%; sample: 151Jul 2019: 22.6%; sample: 155Aug 2019: 18.7%; sample: 155Sep 2019: 24.7%; sample: 146Oct 2019: 26.1%; sample: 157Nov 2019: 21.3%; sample: 150Dec 2019: 38.1%; sample: 155Jan 2020: 31.0%; sample: 1552020Feb 2020: 37.2%; sample: 145Mar 2020: 21.4%; sample: 112Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: 14.7%; sample: 34Sep 2020: 7.1%; sample: 70Oct 2020: 15.8%; sample: 76Nov 2020: 6.7%; sample: 75Dec 2020: 35.4%; sample: 79Jan 2021: 52.8%; sample: 532021Feb 2021: 47.3%; sample: 55Mar 2021: 38.3%; sample: 60Apr 2021: 23.1%; sample: 52May 2021: 5.8%; sample: 52Jun 2021: 1.9%; sample: 53Jul 2021: 6.9%; sample: 58Aug 2021: 33.8%; sample: 74Sep 2021: 34.2%; sample: 111Oct 2021: 39.7%; sample: 121Nov 2021: 65.5%; sample: 116Dec 2021: 53.9%; sample: 115Jan 2022: 54.3%; sample: 1162022Feb 2022: 60.4%; sample: 106Mar 2022: 57.0%; sample: 121Apr 2022: 23.8%; sample: 126May 2022: 27.5%; sample: 142Jun 2022: 31.3%; sample: 166Jul 2022: 29.5%; sample: 183Aug 2022: 8.2%; sample: 196Sep 2022: 15.7%; sample: 197Oct 2022: 33.0%; sample: 203Nov 2022: 16.4%; sample: 183Dec 2022: 35.0%; sample: 214Jan 2023: 31.1%; sample: 2192023Feb 2023: 32.8%; sample: 195Mar 2023: 17.4%; sample: 218Apr 2023: 16.7%; sample: 222May 2023: 16.2%; sample: 229Jun 2023: 16.7%; sample: 210Jul 2023: 28.1%; sample: 231Aug 2023: 21.3%; sample: 225Sep 2023: 22.9%; sample: 223Oct 2023: 44.8%; sample: 230Nov 2023: 49.3%; sample: 209Dec 2023: 72.7%; sample: 231Jan 2024: 69.7%; sample: 2312024Feb 2024: 59.7%; sample: 216Mar 2024: 34.8%; sample: 230Apr 2024: 31.3%; sample: 214May 2024: 36.5%; sample: 200Jun 2024: 31.7%; sample: 224Jul 2024: 34.8%; sample: 233Aug 2024: 44.2%; sample: 231Sep 2024: 29.0%; sample: 221Oct 2024: 23.2%; sample: 233Nov 2024: 20.8%; sample: 240Dec 2024: 16.5%; sample: 248Jan 2025: 23.4%; sample: 2482025Feb 2025: 15.0%; sample: 220Mar 2025: 25.7%; sample: 241Apr 2025: 36.5%; sample: 222May 2025: 62.3%; sample: 231Jun 2025: 45.2%; sample: 221Jul 2025: 19.4%; sample: 216Aug 2025: 26.5%; sample: 223Sep 2025: 45.7%; sample: 223Oct 2025: 51.9%; sample: 231Nov 2025: 34.3%; sample: 236Dec 2025: 40.2%; sample: 244Jan 2026: 47.6%; sample: 2482026Feb 2026: 40.8%; sample: 240Mar 2026: 53.8%; sample: 266Apr 2026: 36.5%; sample: 277May 2026: 27.7%; sample: 292Jun 2026: 16.5%; sample: 254Pandemic 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 201848.9% of 184 movements
Feb 201816.9% of 166 movements
Mar 201826.5% of 185 movements
Apr 201826.7% of 180 movements
May 201819.4% of 186 movements
Jun 201821.1% of 180 movements
Jul 201817.2% of 186 movements
Aug 201817.2% of 186 movements
Sep 20186.7% of 180 movements
Oct 201811.8% of 186 movements
Nov 20189.4% of 180 movements
Dec 201815.0% of 187 movements
Jan 201922.6% of 186 movements
Feb 201915.5% of 168 movements
Mar 201995.7% of 186 movements
Apr 201970.3% of 148 movements
May 201942.9% of 154 movements
Jun 201939.7% of 151 movements
Jul 201922.6% of 155 movements
Aug 201918.7% of 155 movements
Sep 201924.7% of 146 movements
Oct 201926.1% of 157 movements
Nov 201921.3% of 150 movements
Dec 201938.1% of 155 movements
Jan 202031.0% of 155 movements
Feb 202037.2% of 145 movements
Mar 202021.4% of 112 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 202014.7% of 34 movements — small sample, not ranked
Sep 20207.1% of 70 movements
Oct 202015.8% of 76 movements
Nov 20206.7% of 75 movements
Dec 202035.4% of 79 movements
Jan 202152.8% of 53 movements
Feb 202147.3% of 55 movements
Mar 202138.3% of 60 movements
Apr 202123.1% of 52 movements
May 20215.8% of 52 movements
Jun 20211.9% of 53 movements
Jul 20216.9% of 58 movements
Aug 202133.8% of 74 movements
Sep 202134.2% of 111 movements
Oct 202139.7% of 121 movements
Nov 202165.5% of 116 movements
Dec 202153.9% of 115 movements
Jan 202254.3% of 116 movements
Feb 202260.4% of 106 movements
Mar 202257.0% of 121 movements
Apr 202223.8% of 126 movements
May 202227.5% of 142 movements
Jun 202231.3% of 166 movements
Jul 202229.5% of 183 movements
Aug 20228.2% of 196 movements
Sep 202215.7% of 197 movements
Oct 202233.0% of 203 movements
Nov 202216.4% of 183 movements
Dec 202235.0% of 214 movements
Jan 202331.1% of 219 movements
Feb 202332.8% of 195 movements
Mar 202317.4% of 218 movements
Apr 202316.7% of 222 movements
May 202316.2% of 229 movements
Jun 202316.7% of 210 movements
Jul 202328.1% of 231 movements
Aug 202321.3% of 225 movements
Sep 202322.9% of 223 movements
Oct 202344.8% of 230 movements
Nov 202349.3% of 209 movements
Dec 202372.7% of 231 movements
Jan 202469.7% of 231 movements
Feb 202459.7% of 216 movements
Mar 202434.8% of 230 movements
Apr 202431.3% of 214 movements
May 202436.5% of 200 movements
Jun 202431.7% of 224 movements
Jul 202434.8% of 233 movements
Aug 202444.2% of 231 movements
Sep 202429.0% of 221 movements
Oct 202423.2% of 233 movements
Nov 202420.8% of 240 movements
Dec 202416.5% of 248 movements
Jan 202523.4% of 248 movements
Feb 202515.0% of 220 movements
Mar 202525.7% of 241 movements
Apr 202536.5% of 222 movements
May 202562.3% of 231 movements
Jun 202545.2% of 221 movements
Jul 202519.4% of 216 movements
Aug 202526.5% of 223 movements
Sep 202545.7% of 223 movements
Oct 202551.9% of 231 movements
Nov 202534.3% of 236 movements
Dec 202540.2% of 244 movements
Jan 202647.6% of 248 movements
Feb 202640.8% of 240 movements
Mar 202653.8% of 266 movements
Apr 202636.5% of 277 movements
May 202627.7% of 292 movements
Jun 202616.5% of 254 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 2022Arrivals29.5% of 183 movements40.7% across 1,372 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures66.8% of 184 movements44.5% across 1,359 flightsreturned the next month
NATS system failure · Aug 2023Arrivals21.3% of 225 movements22.3% across 2,517 flightsstill above it 8 months later
NATS system failure · Aug 2023Departures35.0% of 226 movements41.4% across 2,514 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals25.7% of 241 movements28.4% across 2,742 flightsreturned after 4 months
Heathrow fire closure · Mar 2025Departures26.9% of 242 movements39.2% across 2,740 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?

January has historically been the hardest month on this route: in a typical January, 47.6% of arrivals were disrupted, measured across 7 Januarys in the archive. August has been the calmest, at 20.0% across 6 Augusts.

Even January has ranged from 22.6% to 69.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201922.6% of 186 movements15.5% of 168 movements95.7% of 186 movements70.3% of 148 movements42.9% of 154 movements39.7% of 151 movements22.6% of 155 movements18.7% of 155 movements24.7% of 146 movements26.1% of 157 movements21.3% of 150 movements38.1% of 155 movements202031.0% of 155 movements37.2% of 145 movements21.4% of 112 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements14.7% of 34 movements †7.1% of 70 movements15.8% of 76 movements6.7% of 75 movements35.4% of 79 movements202152.8% of 53 movements47.3% of 55 movements38.3% of 60 movements23.1% of 52 movements5.8% of 52 movements1.9% of 53 movements6.9% of 58 movements33.8% of 74 movements34.2% of 111 movements39.7% of 121 movements65.5% of 116 movements53.9% of 115 movements202254.3% of 116 movements60.4% of 106 movements57.0% of 121 movements23.8% of 126 movements27.5% of 142 movements31.3% of 166 movements29.5% of 183 movements8.2% of 196 movements15.7% of 197 movements33.0% of 203 movements16.4% of 183 movements35.0% of 214 movements202331.1% of 219 movements32.8% of 195 movements17.4% of 218 movements16.7% of 222 movements16.2% of 229 movements16.7% of 210 movements28.1% of 231 movements21.3% of 225 movements22.9% of 223 movements44.8% of 230 movements49.3% of 209 movements72.7% of 231 movements202469.7% of 231 movements59.7% of 216 movements34.8% of 230 movements31.3% of 214 movements36.5% of 200 movements31.7% of 224 movements34.8% of 233 movements44.2% of 231 movements29.0% of 221 movements23.2% of 233 movements20.8% of 240 movements16.5% of 248 movements202523.4% of 248 movements15.0% of 220 movements25.7% of 241 movements36.5% of 222 movements62.3% of 231 movements45.2% of 221 movements19.4% of 216 movements26.5% of 223 movements45.7% of 223 movements51.9% of 231 movements34.3% of 236 movements40.2% of 244 movements202647.6% of 248 movements40.8% of 240 movements53.8% of 266 movements36.5% of 277 movements27.7% of 292 movements16.5% of 254 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan47.6%22.6–69.7%7 months, 1,432 flights
Feb32.8%15.0–60.4%7 months, 1,311 flights
Mar34.8%17.4–95.7%7 months, 1,447 flights
Apr31.3%16.7–70.3%7 months, 1,389 flights
May27.7%16.2–62.3%7 months, 1,434 flights
Jun31.3%16.5–45.2%7 months, 1,406 flights
Jul25.4%17.2–34.8%6 months, 1,204 flights
Aug20.0%8.2–44.2%6 months, 1,216 flights
Sep23.8%6.7–45.7%6 months, 1,190 flights
Oct29.6%11.8–51.9%6 months, 1,240 flights
Nov21.1%9.4–49.3%6 months, 1,198 flights
Dec36.6%15.0–72.7%6 months, 1,279 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 9.0% of 730 movements, British Airways 15.5% of 755 movements, Indigo 28.7% of 115 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 India64.3% of 1,349 flightsBritish Airways15.5% of 755 flightsIndigo28.7% of 115 flightsVirgin Atlantic Airways9.0% of 730 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Canadasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Air India1,34964.3% of 1,349 movements1.2% of 1,349 movements1.7% of 1,349 movementsdescriptive comparison
American Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways75515.5% of 755 movements1.6% of 755 movements0.7% of 755 movementsdescriptive comparison
Indigo11528.7% of 115 movements4.3% of 115 movements2.6% of 115 movementsdescriptive comparison
Jet Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Spicejet Airlinessuppressed: 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 Airways7309.0% of 730 movements0.7% of 730 movements0.4% of 730 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, BHX had the lowest disruption share at 59.6% of 141 movements and MAN the highest at 63.6% of 118 movements. This route sits at 36.8% of 2,950 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 optionBhx ↔ Delhi59.6% of 141 flightsMan ↔ Delhi63.6% of 118 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Delhi14159.6% of 141 movements0.7% of 141 movements1.4% of 141 movementsdescriptive comparison
Lgw ↔ Delhisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Delhisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Delhi11863.6% of 118 movements5.1% of 118 movements22.0% of 118 movementsdescriptive comparison
Stn ↔ Delhisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 36.8% of 2,950 movements disrupted, departures 44.9% of 2,959 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 LHR36.8% of 2,950 movements1.3% of 2,950 movements1.2% of 2,950 movements
Departures from LHR44.9% of 2,959 movements1.6% of 2,959 movements1.6% of 2,959 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 2026261 flights out of 17,464261 × £520 = £135,720
ArrivalsLast 72 months · Jul 2020–Jun 2026174 flights out of 12,919174 × £520 = £90,480
DeparturesWhole archive · Jan 2018–Jun 2026217 flights out of 17,351217 × £520 = £112,840
DeparturesLast 72 months · Jul 2020–Jun 2026180 flights out of 12,836180 × £520 = £93,600
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 / countryDELHI / INDIA
Final point codesDEL / VIDP
Great-circle distance6,731 km
Maximum statutory amount for the band£520
Average operated arrivals per day7.98
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthJan 2018–Jun 2026
Months with operations in the 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: 2,950; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

36.8% of 2,950 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.3% of 2,950 movements in the same window.

How many delays crossed three hours?

1.2% of 2,950 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?

6,731 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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