US airport reliability map
The 64 airports FlyerIntel covers, placed where they are, from 17,368,992 scheduled departures, July 2023 – June 2026. Each dot is an airport: its area follows how many flights left it, and its colour shows where it ranks among the 64 on the measure selected below. Blue is the better end, orange the worse, grey the middle. Hover, focus or tap a dot for its numbers.
On the reliability score the airports run from 82 at HNL to 49 at DFW, with a median of 66.
Reliability score (0–100), higher is better
- 74–8213 airports
- 68–7315 airports
- 64–6713 airports
- 59–6311 airports
- 49–5812 airports
Dot area: departures
- 100k
- 500k
- 984k
FlyerIntel’s 0–100 score for departures, combining on-time arrivals, cancellations, severe delays, median delay, delay when late and the 90th-percentile delay against fixed reference points. Each colour band holds about a fifth of the airports. How the score is calculated
Keyboard: Tab to the map, then the arrow keys move between airports from best to worst for the measure above; Enter opens the airport, Esc closes its card. Every airport is also a link in the table below.
Best and worst five on reliability score
Of all 64 airports, not only those in view.
How to read the map
What the colour, the size and the placement do and do not say.
- Colour is a rank position, not a grade. The airports are cut into five bands of about equal size on whichever measure is selected, so the grey middle band is the middle of these 64 airports, not a standard they met. The legend prints the exact range each band covers. Because the cuts follow the data, the same colour means a different range on each measure.
- Dot area is departures. It follows the flights that left each airport in the period, from 11,372 at ABE to 984,179 at ATL. Every airport shown clears the 5,000-departure floor FlyerIntel requires before it publishes an airport’s rates.
- Figures describe departing flights. An airport’s on-time, cancellation and delay rates cover the flights that left it, with lateness measured when each flight arrived. A late arrival can trace to the origin, the destination or the aircraft’s earlier legs; the airport’s own page breaks the figures down further.
- Alaska, Hawaii and Puerto Rico are insets. They are moved to the lower corners, as on any standard US statistical map, and Alaska is drawn at 35% of its true scale, so distances compare only within the lower 48. Zooming to a region frames the airports in it; the insets appear on the whole-US view.
By region
Totals pooled over every departure at each region’s airports, so a busy hub counts for what it carries. Regions are US Census Bureau regions; Puerto Rico is in none and stands alone.
| Region | Airports | Departures | On time | Cancelled | Severe delays | Median airport score |
|---|---|---|---|---|---|---|
| Northeast | 8 | 2,092,052 | 78.0% | 2.38% | 8.8% | 58 |
| Midwest | 11 | 2,784,407 | 78.4% | 1.44% | 7.8% | 68 |
| South | 24 | 6,886,699 | 76.8% | 1.65% | 8.4% | 62 |
| West | 20 | 5,499,562 | 80.3% | 0.85% | 6.0% | 75 |
| Puerto Rico | 1 | 106,272 | 76.3% | 1.33% | 8.7% | 58 |
By pooled on-time rate the West is highest at 80.3% and the South lowest at 76.8%, 3.5 points apart. Regions here are sets of airports, not routes, so they show where delays were recorded and not what a flight across the region will meet.
Source: FlyerIntel analysis of US DOT BTS data · July 2023 – June 2026 · On time = arrivals under 15 minutes late ÷ completed flights; cancelled = cancelled ÷ scheduled; severe = 60+ minutes late ÷ completed. See what “on time” means.
All 64 airports
The same figures as the map, as a table. Sorted best first by reliability score; every airport links to its profile.
Scroll sideways for every column.
| # | Airport | Reliability score | On-time arrivals | Cancellations | Severe delays | Median delay | Departures |
|---|---|---|---|---|---|---|---|
| 1 | HNL Honolulu, HI | 82 | 85.4% | 0.90% | 3.1% | −3 min | 181,188 |
| 2 | SJC San Jose, CA | 82 | 84.3% | 0.66% | 4.2% | −7 min | 143,157 |
| 3 | SLC Salt Lake City, UT | 80 | 84.2% | 0.59% | 4.9% | −8 min | 344,932 |
| 4 | SMF Sacramento, CA | 79 | 83.3% | 0.65% | 4.7% | −6 min | 167,401 |
| 5 | OAK Oakland, CA | 79 | 82.2% | 0.69% | 4.5% | −6 min | 114,579 |
| 6 | PDX Portland, OR | 78 | 83.4% | 0.86% | 4.6% | −6 min | 181,329 |
| 7 | ANC Anchorage, AK | 78 | 83.7% | 1.17% | 4.3% | −8 min | 56,263 |
| 8 | ONT Ontario, CA | 76 | 83.7% | 0.90% | 5.2% | −8 min | 77,572 |
| 9 | ABQ Albuquerque, NM | 76 | 83.3% | 0.83% | 5.3% | −7 min | 73,786 |
| 10 | TUS Tucson, AZ | 76 | 84.4% | 0.77% | 5.7% | −8 min | 57,894 |
| 11 | LAX Los Angeles, CA | 74 | 81.6% | 0.77% | 6.0% | −8 min | 577,699 |
| 12 | SEA Seattle, WA | 74 | 79.4% | 0.86% | 5.0% | −5 min | 493,992 |
| 13 | BUR Burbank, CA | 74 | 82.9% | 1.26% | 5.5% | −8 min | 91,019 |
| 14 | PHX Phoenix, AZ | 73 | 80.6% | 0.66% | 5.9% | −5 min | 582,422 |
| 15 | SNA Santa Ana, CA | 73 | 82.4% | 1.02% | 5.8% | −7 min | 133,365 |
| 16 | MSP Minneapolis, MN | 72 | 81.2% | 0.93% | 6.4% | −8 min | 358,791 |
| 17 | HOU Houston, TX | 71 | 79.1% | 1.05% | 5.9% | −5 min | 167,451 |
| 18 | SAT San Antonio, TX | 71 | 82.4% | 1.15% | 6.1% | −7 min | 123,766 |
| 19 | SBA Santa Barbara, CA | 71 | 82.3% | 1.11% | 6.4% | −8 min | 23,805 |
| 20 | OMA Omaha, NE | 70 | 81.8% | 1.19% | 6.5% | −7 min | 72,606 |
| 21 | LAS Las Vegas, NV | 69 | 78.2% | 0.86% | 6.6% | −6 min | 555,302 |
| 22 | MCI Kansas City, MO | 69 | 81.1% | 1.38% | 6.2% | −6 min | 147,921 |
| 23 | IND Indianapolis, IN | 69 | 81.9% | 1.56% | 6.3% | −8 min | 142,723 |
| 24 | CMH Columbus, OH | 69 | 82.1% | 1.54% | 6.4% | −8 min | 130,003 |
| 25 | PIT Pittsburgh, PA | 69 | 82.2% | 1.57% | 6.4% | −9 min | 129,001 |
| 26 | SFO San Francisco, CA | 68 | 79.1% | 0.98% | 7.0% | −6 min | 421,938 |
| 27 | STL St. Louis, MO | 68 | 79.3% | 1.20% | 6.6% | −6 min | 192,925 |
| 28 | IAD Washington, VA | 68 | 81.2% | 1.25% | 6.9% | −8 min | 164,950 |
| 29 | ATL Atlanta, GA | 67 | 79.1% | 1.28% | 6.9% | −5 min | 984,179 |
| 30 | SAN San Diego, CA | 67 | 78.3% | 1.14% | 6.6% | −5 min | 288,323 |
| 31 | ABE Allentown, PA | 67 | 83.2% | 1.51% | 7.7% | −12 min | 11,372 |
| 32 | DTW Detroit, MI | 66 | 79.7% | 1.23% | 7.6% | −7 min | 378,183 |
| 33 | BNA Nashville, TN | 66 | 78.7% | 1.34% | 6.8% | −5 min | 309,547 |
| 34 | MDW Chicago, IL | 66 | 76.7% | 1.21% | 6.7% | −4 min | 233,206 |
| 35 | AUS Austin, TX | 65 | 78.2% | 1.02% | 7.4% | −5 min | 264,344 |
| 36 | DAL Dallas, TX | 65 | 76.3% | 1.22% | 6.9% | −3 min | 217,810 |
| 37 | MKE Milwaukee, WI | 65 | 80.9% | 1.63% | 7.2% | −8 min | 85,110 |
| 38 | MEM Memphis, TN | 65 | 81.4% | 1.69% | 7.0% | −8 min | 70,535 |
| 39 | DEN Denver, CO | 64 | 76.2% | 0.91% | 7.9% | −4 min | 933,596 |
| 40 | MSY New Orleans, LA | 64 | 78.9% | 1.52% | 7.3% | −6 min | 150,520 |
| 41 | CLE Cleveland, OH | 64 | 81.0% | 1.87% | 7.2% | −9 min | 123,147 |
| 42 | BWI Baltimore, MD | 63 | 76.1% | 1.34% | 7.2% | −4 min | 290,693 |
| 43 | RDU Raleigh–Durham, NC | 62 | 79.6% | 1.78% | 7.7% | −7 min | 175,148 |
| 44 | JAX Jacksonville, FL | 62 | 80.3% | 1.68% | 7.6% | −7 min | 87,588 |
| 45 | CHS Charleston, SC | 62 | 80.8% | 2.04% | 7.4% | −8 min | 75,226 |
| 46 | MYR Myrtle Beach, SC | 61 | 81.0% | 2.24% | 7.9% | −10 min | 44,150 |
| 47 | IAH Houston, TX | 60 | 77.6% | 1.47% | 8.8% | −6 min | 349,206 |
| 48 | TPA Tampa, FL | 60 | 78.4% | 1.85% | 8.1% | −6 min | 236,522 |
| 49 | RSW Fort Myers, FL | 60 | 78.9% | 1.81% | 8.4% | −7 min | 105,429 |
| 50 | BUF Buffalo, NY | 60 | 79.6% | 2.25% | 7.7% | −7 min | 63,641 |
| 51 | ILM Wilmington, NC | 60 | 82.0% | 2.67% | 7.4% | −9 min | 23,004 |
| 52 | BOS Boston, MA | 59 | 77.4% | 1.88% | 8.8% | −8 min | 427,616 |
| 53 | SJU San Juan, PR | 58 | 76.3% | 1.33% | 8.7% | −5 min | 106,272 |
| 54 | CLT Charlotte, NC | 56 | 75.1% | 1.65% | 9.2% | −4 min | 602,695 |
| 55 | MCO Orlando, FL | 56 | 75.0% | 1.50% | 9.6% | −4 min | 485,085 |
| 56 | JFK New York, NY | 56 | 77.3% | 2.29% | 9.0% | −9 min | 342,450 |
| 57 | PHL Philadelphia, PA | 55 | 76.6% | 2.04% | 9.5% | −7 min | 295,169 |
| 58 | LGA New York, NY | 54 | 78.5% | 3.14% | 8.9% | −10 min | 445,298 |
| 59 | EWR Newark, NJ | 54 | 77.8% | 2.71% | 9.1% | −9 min | 377,505 |
| 60 | ORD Chicago, IL | 53 | 74.6% | 1.76% | 9.8% | −4 min | 919,792 |
| 61 | MIA Miami, FL | 53 | 73.4% | 1.48% | 10.0% | −4 min | 331,265 |
| 62 | DCA Washington, DC | 52 | 76.9% | 2.81% | 9.3% | −7 min | 422,961 |
| 63 | FLL Fort Lauderdale, FL | 52 | 72.8% | 1.64% | 10.4% | −4 min | 271,530 |
| 64 | DFW Dallas–Fort Worth, TX | 49 | 73.3% | 2.30% | 10.1% | −4 min | 933,095 |
Source: FlyerIntel analysis of US DOT BTS data · July 2023 – June 2026 · State outlines: US Census Bureau cartographic boundary files, public domain, simplified for display.
Analysis last recomputed