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Compare airports

Put two to four airports side by side: the same metrics, from the same source, each measured over its own real reporting period.

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Two to four airports, by three-letter code, e.g. ATL.

DFW vs DAL

Each column is that side's own numbers, over that side's own real reporting period.

DAL is clearly ahead on 3 of 4 rates; the other one is too close to call.

DFW and DAL compared
MetricDFWDAL
On-time arrival73.1%76.0% (better)
Cancellation rate2.27%1.22% (better)
Severe delay (60+ min)10.3%7.0% (better)
Average arrival delay13 min8 min (better)
Median arrival delay-4 min (better)-3 min
Departure on-time · too close to call72.5%72.6%
Flights analyzed961,718224,047

A check mark and green mark the better figure in a row (higher for on-time rates, lower for delays and cancellations) when the gap is larger than chance would produce: a two-proportion test on each side’s flight count, at about 95% confidence. “Too close to call” rows differ by less than that. Average and median delay carry no sample-error estimate here, so they are marked by the printed figure alone.

DFW (Dallas–Fort Worth): July 2023 – July 2026 · DAL (Dallas): July 2023 – July 2026

Source: FlyerIntel analysis of US DOT BTS data · Two entities can cover different real windows of history — a newer carrier, a discontinued route, an airport that only recently cleared the sample floor. The period above is what each side actually has, not a shared assumption.

Month by month

On-time arrival for each month, on one shared calendar, so a steady gap looks different from one bad season.

  • DFW
  • DAL
55%60%65%70%75%80%85%90%202420252026DFW 66%DAL 65%
In the 37 months both DFW and DAL have a figure, DFW was ahead in 7, DAL in 30. A month is drawn only when it has at least 120 flights, and a line is broken, not joined, where a month is missing.
Show the monthly figures
Monthly on-time arrival, most recent first
MonthDFWDAL
July 202666.2% (28,623 flights)64.6% (6,237 flights)
June 202663.6% (27,815 flights)56.5% (6,025 flights)
May 202672.7% (27,419 flights)64.3% (6,141 flights)
April 202673.9% (25,686 flights)71.1% (5,965 flights)
March 202673.4% (26,008 flights)70.3% (6,221 flights)
February 202678.9% (22,019 flights)79.7% (5,163 flights)
January 202675.4% (24,229 flights)82.8% (5,470 flights)
December 202571.7% (25,770 flights)78.7% (6,070 flights)
November 202574.3% (25,032 flights)76.4% (5,799 flights)
October 202575.0% (27,182 flights)75.9% (6,100 flights)
September 202577.4% (25,641 flights)81.9% (5,518 flights)
August 202565.7% (27,091 flights)75.5% (5,730 flights)
July 202564.3% (28,959 flights)68.5% (6,349 flights)
June 202561.9% (28,224 flights)64.4% (6,205 flights)
May 202568.7% (27,178 flights)70.7% (6,186 flights)
April 202569.9% (25,689 flights)75.9% (6,067 flights)
March 202573.2% (27,095 flights)79.4% (6,244 flights)
February 202578.2% (22,869 flights)83.0% (5,343 flights)
January 202578.3% (25,124 flights)85.5% (5,755 flights)
December 202474.9% (25,814 flights)74.5% (6,228 flights)
November 202479.5% (25,197 flights)83.2% (5,973 flights)
October 202484.0% (27,861 flights)84.8% (6,140 flights)
September 202480.6% (26,198 flights)82.0% (5,602 flights)
August 202474.2% (27,900 flights)81.1% (5,891 flights)
July 202462.9% (29,084 flights)70.6% (6,447 flights)
June 202465.1% (27,690 flights)71.0% (6,275 flights)
May 202458.0% (27,111 flights)63.7% (6,207 flights)
April 202472.5% (24,911 flights)76.6% (6,080 flights)
March 202471.6% (25,567 flights)77.1% (6,272 flights)
February 202483.0% (22,679 flights)84.7% (5,522 flights)
January 202469.6% (23,570 flights)76.5% (6,037 flights)
December 202384.4% (23,714 flights)84.9% (6,549 flights)
November 202384.8% (24,070 flights)85.3% (6,307 flights)
October 202381.3% (25,786 flights)81.0% (6,591 flights)
September 202378.0% (24,533 flights)79.6% (6,221 flights)
August 202375.9% (26,370 flights)81.5% (6,611 flights)
July 202369.0% (26,010 flights)71.3% (6,506 flights)

Source: FlyerIntel analysis of US DOT BTS data · Monthly figures are on-time arrival for the flights scheduled that month, from the same monthly aggregates that feed each page’s own trend chart.