New Federal Data Reveals U.S. Airports With Worst Delays

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Newly compiled federal on-time performance data is casting a harsh spotlight on a handful of large U.S. airports where departing flights are significantly more likely to leave late, underscoring how geography, congestion and airline scheduling patterns combine to shape travelers’ odds of getting out on time.

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New Federal Data Reveals U.S. Airports With Worst Delays

Government databases put departure performance under the microscope

The U.S. Bureau of Transportation Statistics maintains the most comprehensive record of domestic flight operations, drawing on millions of flights reported each year under federal on-time performance rules. Publicly available tables allow airports to be ranked by the share of departures that push back from the gate within 15 minutes of schedule, a standard commonly used across the industry to define an “on-time” operation.

Recent BTS airport rankings and the Department of Transportation’s Air Travel Consumer Reports show that while national on-time performance has improved since the height of pandemic disruptions, gaps between airports remain wide. Some hubs are edging close to 85 percent of departures leaving on time, while others struggle to keep three quarters of flights on schedule over a full year of operations.

The latest aggregate figures highlight a distinct pattern. Major hubs in weather-prone regions and complex airspace corridors tend to fare worst on departure punctuality, especially where aircraft arrive already behind schedule and turn quickly for another flight. That combination is increasingly reflected in federal data that also tracks causes of delay by airport, including late-arriving aircraft, air traffic system constraints and local airport operations.

For travelers, these statistics translate directly into risk. A difference of 8 to 10 percentage points in on-time departure rates can mean thousands of additional delayed flights at a single airport over the course of a year, particularly at the busiest hubs handling tens of millions of passengers.

High-volume hubs with the lowest on-time departure rates

Among the country’s largest airports, government filings analyzed in recent ranking tables point to a cluster of major hubs with the weakest departure performance in the most recent two-year window. Using BTS data, independent analysts highlight Dallas/Fort Worth International Airport as a notable laggard among high-volume hubs, with an on-time departure rate around 72 percent for the June 2024 through May 2026 period, well below several peer airports of similar size. ([bts.gov](https://www.bts.gov/topics/airline-time-tables?utm_source=openai))

Other large hubs that regularly appear in the bottom tier on departure punctuality include Chicago O’Hare, Denver, Houston Intercontinental and several New York-area airports. That pattern is consistent with airport-level on-time tables and historical performance summaries made available through BTS and DOT consumer reports, which show that these big connectors often combine heavy traffic loads with challenging weather and complex routing. ([bts.gov](https://www.bts.gov/annual-time-departure-performance?utm_source=openai))

Volume plays a central role in these rankings. The BTS “major airport” lists focus on facilities that handle large numbers of scheduled departures, meaning a small shift in performance at a hub can affect millions of passenger journeys. Busy connecting airports, in particular, are vulnerable to what federal analysts describe as “reactionary delays,” where a late inbound aircraft forces the following departure to leave behind schedule, even when local conditions are favorable.

These issues are magnified during peak seasons and holiday periods. Air Travel Consumer Reports for 2024 show that national delay rates spike during summer and late-year travel surges, and the effect is especially visible at sprawling hubs that operate near capacity for much of the day. At these airports, a single weather disruption or staffing shortage early in the schedule can ripple through dozens of later departures. ([transportation.gov](https://www.transportation.gov/sites/dot.gov/files/2024-08/July%202024%20ATCR.pdf?utm_source=openai))

Weather, airspace and airport design drive regional disparities

BTS data inventories and National Transportation Statistics highlight how the causes of delay differ by region. In 2023, delays attributed to the National Aviation System, which include nonextreme weather, airport operations, heavy traffic and air traffic control, accounted for a significant share of late operations nationally, while late-arriving aircraft emerged as the single largest factor. These categories tend to weigh more heavily on airports situated in storm-prone regions or in particularly congested airspace. ([data.bts.gov](https://data.bts.gov/stories/s/Chapter-3-Passenger-Transportation-System/emw5-pe8m/?utm_source=openai))

Airports in the South and along the Eastern seaboard frequently contend with intense summer thunderstorms and seasonal congestion. Earlier analyses of monthly on-time performance during 2024, built from the same federal datasets, showed that several large Southern and East Coast airports ranked among the worst in the country for timely departures during peak summer months, as convective weather and traffic management initiatives slowed operations. ([thriftytraveler.com](https://thriftytraveler.com/guides/flights/data-analysis-first-flight-of-the-day/?utm_source=openai))

By contrast, some high-latitude or coastal airports with more stable weather but complicated runway or taxiway layouts can see delay patterns skewed toward ground operations. Crowded gate areas, limited expansion room and runway configurations that require crossing traffic can all extend taxi-out times and make recovery from disruptions slower, even when the overall number of flights is smaller than at the biggest hubs.

Federal statistics also show how weather impacts are amplified by airline scheduling choices. Tight turn times, dense bank structures for connecting flights and fleets that are stretched thin can all reduce the margin for error when storms or air traffic programs slow the system. That helps explain why two airports with similar weather can have very different on-time departure records in BTS data.

What the numbers mean for passengers planning trips

For travelers, the latest government datasets underscore the value of checking airport performance, not just airline ratings, when planning trips. On-time rankings compiled from BTS filings allow travelers to compare departure reliability across major hubs, giving a clearer sense of how often flights leave late at their home airport or at the connection point they are considering. ([bts.gov](https://www.bts.gov/topics/airline-time-tables?utm_source=openai))

Analysts who work directly with DOT on-time records consistently find that departure time matters at least as much as airport choice. Data-driven reviews of recent federal filings show that early-morning departures have markedly better on-time records nationwide, while evening flights are more exposed to accumulated delays, missed connections and rolling crew scheduling issues. Those trends are visible across many of the airports that otherwise rank poorly on departure punctuality, suggesting that even at a delay-prone hub, selecting an early flight can significantly improve the odds of an on-time departure. ([thriftytraveler.com](https://thriftytraveler.com/guides/flights/data-analysis-first-flight-of-the-day/?utm_source=openai))

Route choice is another factor. Some of the worst-performing airports on a percentage basis serve particularly delay-prone corridors, including busy East Coast and transcontinental routes that routinely operate close to airspace capacity. Government data users caution that these rankings are not always a simple scorecard of local airport management, but instead reflect national system pressures and airline network design that concentrate risk in specific places.

Even so, federal transparency around on-time performance gives passengers more tools to manage that risk. By comparing the departure records of potential origin or connection airports in the BTS rankings, and by pairing that with knowledge of seasonal peaks and preferred flight times, travelers can make more informed choices about where and when they fly.