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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.

LGA vs ORD

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

LGA is clearly ahead on 3 of 4 rates, ORD on 1.

LGA and ORD compared
MetricLGAORD
On-time arrival78.3% (better)74.5%
Cancellation rate3.30%1.85% (better)
Severe delay (60+ min)9.0% (better)9.8%
Average arrival delay5 min (better)12 min
Median arrival delay-10 min (better)-4 min
Departure on-time79.6% (better)76.2%
Flights analyzed456,467952,802

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.

LGA (New York): July 2023 – July 2026 · ORD (Chicago): 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.

  • LGA
  • ORD
60%65%70%75%80%85%90%95%202420252026LGA 69%ORD 71%
In the 37 months both LGA and ORD have a figure, LGA was ahead in 29, ORD in 8. 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
MonthLGAORD
July 202669.5% (11,169 flights)71.4% (33,010 flights)
June 202675.3% (10,877 flights)71.3% (31,374 flights)
May 202675.4% (11,375 flights)76.1% (33,733 flights)
April 202676.5% (11,443 flights)69.7% (33,206 flights)
March 202667.9% (11,660 flights)65.9% (31,373 flights)
February 202678.5% (10,307 flights)73.7% (25,538 flights)
January 202678.9% (11,099 flights)67.4% (25,131 flights)
December 202562.2% (11,361 flights)61.0% (27,790 flights)
November 202567.9% (11,577 flights)73.3% (28,703 flights)
October 202566.8% (12,002 flights)74.7% (31,096 flights)
September 202582.4% (11,388 flights)79.2% (28,867 flights)
August 202581.0% (11,582 flights)73.9% (30,090 flights)
July 202568.0% (11,696 flights)63.9% (30,503 flights)
June 202566.3% (11,257 flights)69.1% (29,641 flights)
May 202571.7% (11,343 flights)78.8% (27,990 flights)
April 202579.7% (11,339 flights)80.6% (26,136 flights)
March 202581.1% (11,221 flights)75.9% (24,580 flights)
February 202576.0% (10,054 flights)75.8% (19,989 flights)
January 202579.3% (10,905 flights)78.8% (21,643 flights)
December 202478.0% (13,005 flights)77.1% (22,668 flights)
November 202489.7% (13,365 flights)83.0% (22,435 flights)
October 202489.5% (14,154 flights)86.3% (25,211 flights)
September 202489.1% (13,549 flights)83.0% (24,847 flights)
August 202474.1% (14,136 flights)69.3% (25,500 flights)
July 202470.5% (14,343 flights)66.8% (24,531 flights)
June 202478.2% (13,562 flights)69.2% (24,207 flights)
May 202478.3% (14,093 flights)65.9% (24,845 flights)
April 202484.7% (13,515 flights)80.0% (23,646 flights)
March 202485.1% (13,366 flights)81.3% (22,288 flights)
February 202486.9% (12,644 flights)86.7% (19,553 flights)
January 202478.3% (12,700 flights)67.7% (20,321 flights)
December 202386.5% (12,432 flights)84.2% (20,664 flights)
November 202389.2% (13,264 flights)85.6% (20,354 flights)
October 202388.5% (13,861 flights)83.2% (22,812 flights)
September 202377.6% (13,372 flights)77.8% (22,384 flights)
August 202382.0% (14,074 flights)76.5% (23,347 flights)
July 202369.6% (13,377 flights)66.8% (22,796 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.