Our Nation’s Highways 2026
Safety, Condition, and Performance
Highway data about safety, infrastructure condition, and system performance is necessary to make informed decisions about infrastructure investments. These metrics are crucial to society because they directly impact our daily lives, the efficiency of the economy, and the overall quality of public services. Understanding the state of our highways ensures responsible stewardship of public funds, promotes economic competitiveness through reliable supply chains, and, most importantly, protects the safety of all road users.
Condition refers to the physical health of an infrastructure asset such as a road or bridge. It is a measure of physical integrity. Performance refers to the user experience and measures how well a system works. For example, mobility captures system throughput and travel delays while reliability has to do with variation in travel times to the same destination. Safety, which can be considered a performance measure, is FHWA’s top priority.
Drive Through History
July 29, 1870
Chemist Edward de Smedt lays the first asphalt pavement in the U.S. in Newark, New Jersey, revolutionizing roads by replacing muddy dirt tracks and jarring cobblestones with a smooth and weather-resistant surface. By eliminating deep ruts and offering reliable traction, asphalt dramatically improved travel safety and efficiency, laying the foundation for a reliable road network for the coming automobile era.
Condition
The state of the pavement on our 4.2 million miles of roads, especially the 220,790 miles of the U.S. NHS, is an important component of highway conditions. Various types of pavement data are collected and used to evaluate pavement condition. One such measure is the International Roughness Index (IRI), which commonly is used as an indicator of smoothness or ride quality. An IRI of less than 95 is considered good or very good ride quality, while an IRI rating of less than 170 is considered acceptable ride quality. An IRI value equal to or greater than 170 is poor ride quality. Table 8-1 shows the 48,830 miles of U.S. interstates by the pavement smoothness and by the State. Overall, 39,133 interstate pavement miles (80 percent) were rated “good,” 8,009 miles (16 percent) “acceptable,” and 1,534 (3 percent) “poor.” (Condition was not reported for less than 1 percent of the miles.) The States with the largest portion of interstates with “good” pavement condition are New Hampshire (95 percent) and Maine (94 percent). The District of Columbia reported less than a quarter of the interstate pavement as “good” (18 percent), and Hawaii reported less than half of the interstates with “good” pavement condition (35 percent).
Table 8-2 demonstrates the proportion of miles of the NHS by pavement condition across the 50 States and D.C. Overall, 139,614 miles (63 percent) were in “good” condition, 57,218 miles (26 percent) were “acceptable,” and 21,274 (10 percent) were “poor.” (Condition was not reported for about 1 percent of the miles.) As seen in the table, seven jurisdictions have a “good” condition on less than half of their road miles: California, District of Columbia, Hawaii, Louisiana, Massachusetts, New York, and Rhode Island. And in three of these seven, more than one-quarter of the road miles were in “poor” condition: California, District of Columbia, and Rhode Island.
Interstate and NHS Pavement Smoothness by State, 2024
| State | Interstate: Percent Good | Interstate: Percent Acceptable | Interstate: Percent Poor | NHS: Percent Good | NHS: Percent Acceptable | NHS: Percent Poor |
|---|---|---|---|---|---|---|
| Alabama | 89% | 9% | 2% | 83% | 14% | 3% |
| Alaska | 56% | 34% | 10% | 53% | 33% | 14% |
| Arizona | 83% | 14% | 3% | 64% | 27% | 9% |
| Arkansas | 81% | 16% | 3% | 71% | 23% | 6% |
| California | 62% | 31% | 7% | 37% | 34% | 29% |
| Colorado | 58% | 34% | 8% | 54% | 35% | 11% |
| Connecticut | 84% | 14% | 2% | 54% | 35% | 11% |
| Delaware | 63% | 31% | 6% | 68% | 26% | 6% |
| Dist. of Columbia | 18% | 58% | 24% | 3% | 18% | 79% |
| Florida | 91% | 8% | 1% | 77% | 19% | 4% |
| Georgia | 87% | 12% | 1% | 77% | 20% | 3% |
| Hawaii | 35% | 49% | 16% | 35% | 41% | 24% |
| Idaho | 88% | 11% | 1% | 71% | 25% | 4% |
| Illinois | 84% | 13% | 3% | 56% | 30% | 13% |
| Indiana | 75% | 21% | 4% | 74% | 22% | 3% |
| Iowa | 78% | 20% | 2% | 57% | 35% | 9% |
| Kansas | 86% | 13% | 1% | 85% | 13% | 2% |
| Kentucky | 87% | 11% | 2% | 81% | 16% | 3% |
| Louisiana | 56% | 36% | 8% | 44% | 39% | 17% |
| Maine | 94% | 6% | 0% | 82% | 13% | 5% |
| Maryland | 78% | 17% | 5% | 62% | 22% | 16% |
| Massachusetts | 86% | 11% | 3% | 43% | 32% | 25% |
| Michigan | 79% | 16% | 4% | 67% | 24% | 10% |
| Minnesota | 84% | 15% | 1% | 73% | 24% | 3% |
| Mississippi | 85% | 12% | 3% | 66% | 26% | 8% |
| Missouri | 86% | 11% | 2% | 76% | 19% | 5% |
| Montana | 88% | 11% | 1% | 73% | 24% | 4% |
| Nebraska | 87% | 12% | 1% | 71% | 22% | 7% |
| Nevada | 92% | 7% | 1% | 83% | 14% | 2% |
| New Hampshire | 95% | 5% | 0% | 83% | 13% | 4% |
| New Jersey | 78% | 17% | 5% | 51% | 28% | 21% |
| New Mexico | 78% | 17% | 5% | 67% | 26% | 7% |
| New York | 73% | 21% | 6% | 48% | 32% | 20% |
| North Carolina | 89% | 9% | 2% | 67% | 28% | 5% |
| North Dakota | 89% | 10% | 0% | 82% | 16% | 2% |
| Ohio | 83% | 15% | 2% | 67% | 24% | 9% |
| Oklahoma | 80% | 18% | 3% | 65% | 28% | 7% |
| Oregon | 89% | 10% | 1% | 70% | 25% | 6% |
| Pennsylvania | 82% | 15% | 4% | 56% | 31% | 13% |
| Rhode Island | 91% | 8% | 1% | 37% | 31% | 32% |
| South Carolina | 86% | 12% | 2% | 66% | 29% | 5% |
| South Dakota | 92% | 7% | 1% | 78% | 19% | 3% |
| Tennessee | 93% | 6% | 1% | 77% | 18% | 5% |
| Texas | 75% | 23% | 3% | 62% | 30% | 9% |
| Utah | 83% | 16% | 1% | 72% | 25% | 3% |
| Vermont | 91% | 8% | 1% | 81% | 15% | 4% |
| Virginia | 82% | 15% | 3% | 59% | 33% | 8% |
| Washington | 73% | 21% | 5% | 51% | 34% | 15% |
| West Virginia | 81% | 16% | 3% | 59% | 33% | 7% |
| Wisconsin | 73% | 24% | 2% | 55% | 31% | 14% |
| Wyoming | 85% | 13% | 2% | 81% | 17% | 2% |
Performance
Table 8-3 demonstrates system travel density trends for urban interstates, other urban freeways and expressways, and rural interstates. The measure of density is the weighted annual average daily vehicles per lane. Travel density on rural interstate generally has increased since 2013 except for a dip in 2020. Travel density on urban interstates and other freeways and expressways show similar patterns. They both decreased until about 2014 and then rose until 2019. Travel density experienced a significant drop on the urban roads in 2020, and in 2024, density is almost back to 2019 values.
System Travel Density Trends, 2005-2024
(Weighted Average AADT per Lane)
| Year | Urban Interstates (vehicles per lane) |
Urban Other Freeways & Expressways (vehicles per lane) |
Rural Interstates (vehicles per lane) |
|---|---|---|---|
| 2005 | 13,928 | 11,028 | 5,439 |
| 2006 | 13,866 | 10,988 | 5,466 |
| 2007 | 13,822 | 10,935 | 5,470 |
| 2008 | 13,355 | 10,564 | 5,212 |
| 2010 | 13,196 | 10,476 | 5,198 |
| 2011 | 13,109 | 10,395 | 5,198 |
| 2012 | 13,136 | 10,506 | 5,178 |
| 2013 | 13,072 | 10,367 | 5,124 |
| 2014 | 12,893 | 10,371 | 5,148 |
| 2015 | 13,180 | 10,660 | 5,260 |
| 2016 | 13,500 | 10,946 | 5,452 |
| 2017 | 13,646 | 11,127 | 5,586 |
| 2018 | 13,624 | 11,256 | 5,650 |
| 2019 | 13,710 | 11,304 | 5,731 |
| 2020 | 11,746 | 9,779 | 5,065 |
| 2021 | 12,963 | 10,709 | 5,761 |
| 2022 | 13,196 | 11,017 | 5,990 |
| 2023 | 13,375 | 11,210 | 5,883 |
| 2024 | 13,511 | 11,304 | 5,895 |
Table 8-4 shows the annual vehicle travel time delays per person on all arterial highways (including interstates) by State. Calculating delay involved analyzing two scenarios for all vehicle travel on arterial roadways. One is the ideal condition: how long it takes to drive free flow conditions at the posted speed limit. Two is the real world: how long it actually takes drivers based on real-world speeds. (The real world data is from the National Performance Management Research Data Set or NPMRDS.) The difference between the real world and the ideal condition is the delay. Delay per person is the total delay divided by the State’s population.
Annual Vehicle Travel Time Delays per Person by State, 2023
| State | Travel Time Delay (hours) |
|---|---|
| Alabama | 42 |
| Alaska | 33 |
| Arizona | 51 |
| Arkansas | 45 |
| California | 77 |
| Colorado | 76 |
| Connecticut | 38 |
| Delaware | 26 |
| District of Columbia | 85 |
| Florida | 53 |
| Georgia | 47 |
| Hawaii | 31 |
| Idaho | 47 |
| Illinois | 49 |
| Indiana | 36 |
| Iowa | 38 |
| Kansas | 19 |
| Kentucky | 50 |
| Louisiana | 70 |
| Maine | 35 |
| Maryland | 47 |
| Massachusetts | 63 |
| Michigan | 64 |
| Minnesota | 37 |
| Mississippi | 37 |
| Missouri | 46 |
| Montana | 45 |
| Nebraska | 41 |
| Nevada | 69 |
| New Hampshire | 27 |
| New Jersey | 53 |
| New Mexico | 31 |
| New York | 54 |
| North Carolina | 32 |
| North Dakota | 49 |
| Ohio | 33 |
| Oklahoma | 30 |
| Oregon | 41 |
| Pennsylvania | 44 |
| Rhode Island | 31 |
| South Carolina | 42 |
| South Dakota | 49 |
| Tennessee | 40 |
| Texas | 51 |
| Utah | 40 |
| Vermont | 29 |
| Virginia | 44 |
| Washington | 45 |
| West Virginia | 34 |
| Wisconsin | 60 |
| Wyoming | 60 |
| Travel Time Delay (hours) |
Number of States |
|---|---|
| 10-29 | 4 |
| 30-49 | 32 |
| 50-69 | 11 |
| 70-89 | 4 |
The U.S. average delay is 51 hours per person. The largest value is 85 hours in the District of Columbia, followed by 77 hours in California and 76 hours in Colorado. The smallest value is 19 hours in Kansas, followed by 26 hours in Delaware and 27 hours in New Hampshire. Arizona and Texas are right at the national average, but most States have values between 30 and 50 hours.
Safety
Highway safety is of undeniable societal importance and stands as the FHWA’s foremost priority. Ultimately, protecting the safety of all road users, including drivers, passengers, pedestrians, bicyclists, and motorcyclists, is a foundational imperative. This focus is central to ensuring responsible and effective stewardship of public funds, as crashes impose substantial human and economic costs on communities. Moreover, a safe and reliable transportation network intrinsically is linked to promoting economic competitiveness by supporting efficient, predictable, and resilient supply chains, which are essential for the national economy.
One method of measuring safety performance is to quantify the number of fatal crashes and subsequent deaths in motor vehicle traffic crashes in the United States. Traffic fatalities include not just drivers and passengers of motor vehicles but also non-motorists such as pedestrians and bicyclists who are struck by motor vehicles. While counts of traffic fatalities provide useful information, they increase when travel (VMT) increases because there are more people on the roads. One method of controlling for differences in the amount of travel is the ratio of highway deaths to VMT, which at the national level is typically expressed as fatalities per 100 million VMT.
Highway Fatalities and Fatality Rate, 1900-2024
| Year | Number of Fatalities in thousands |
Rate of Fatalities per 100 million Vehicle Miles Traveled |
|---|---|---|
| 1900 | 0.04 | 36.00 |
| 1901 | 0.05 | 31.76 |
| 1902 | 0.08 | 25.48 |
| 1903 | 0.12 | 25.43 |
| 1904 | 0.17 | 22.93 |
| 1905 | 0.25 | 25.98 |
| 1906 | 0.34 | 27.26 |
| 1907 | 0.58 | 40.35 |
| 1908 | 0.75 | 40.59 |
| 1909 | 1.17 | 45.33 |
| 1910 | 1.60 | 44.66 |
| 1911 | 2.04 | 40.54 |
| 1912 | 2.97 | 40.16 |
| 1913 | 4.08 | 39.80 |
| 1914 | 4.47 | 31.78 |
| 1915 | 6.78 | 34.71 |
| 1916 | 7.77 | 30.03 |
| 1917 | 9.63 | 31.39 |
| 1918 | 10.4 | 28.10 |
| 1919 | 10.9 | 24.70 |
| 1920 | 12.2 | 25.54 |
| 1921 | 13.3 | 24.08 |
| 1922 | 14.9 | 21.95 |
| 1923 | 17.9 | 21.02 |
| 1924 | 18.4 | 17.55 |
| 1925 | 20.8 | 16.98 |
| 1926 | 22.2 | 15.77 |
| 1927 | 24.5 | 15.44 |
| 1928 | 26.6 | 15.36 |
| 1929 | 29.6 | 14.97 |
| 1930 | 31.2 | 15.12 |
| 1931 | 32.0 | 14.79 |
| 1932 | 28.0 | 13.95 |
| 1933 | 29.7 | 14.83 |
| 1934 | 34.2 | 15.88 |
| 1935 | 34.5 | 15.09 |
| 1936 | 36.1 | 14.33 |
| 1937 | 37.8 | 14.00 |
| 1938 | 31.1 | 11.46 |
| 1939 | 30.9 | 10.83 |
| 1940 | 32.9 | 10.89 |
| 1941 | 38.1 | 11.43 |
| 1942 | 27.0 | 10.07 |
| 1943 | 22.7 | 10.92 |
| 1944 | 23.2 | 10.89 |
| 1945 | 26.8 | 10.71 |
| 1946 | 31.9 | 9.35 |
| 1947 | 31.2 | 8.41 |
| 1948 | 30.8 | 7.73 |
| 1949 | 30.2 | 7.13 |
| 1950 | 33.2 | 7.24 |
| 1951 | 35.3 | 7.19 |
| 1952 | 36.1 | 7.03 |
| 1953 | 36.2 | 6.65 |
| 1954 | 33.9 | 6.03 |
| 1955 | 36.7 | 6.06 |
| 1956 | 38.0 | 6.05 |
| 1957 | 36.9 | 5.73 |
| 1958 | 35.3 | 5.32 |
| 1959 | 36.2 | 5.17 |
| 1960 | 36.4 | 5.06 |
| 1961 | 36.3 | 4.92 |
| 1962 | 39.0 | 5.08 |
| 1963 | 41.7 | 5.18 |
| 1964 | 45.6 | 5.39 |
| 1965 | 47.1 | 5.30 |
| 1966 | 50.9 | 5.50 |
| 1967 | 51.6 | 5.35 |
| 1968 | 53.8 | 5.29 |
| 1969 | 55.0 | 5.18 |
| 1970 | 53.8 | 4.85 |
| 1971 | 53.9 | 4.57 |
| 1972 | 55.6 | 4.41 |
| 1973 | 55.1 | 4.20 |
| 1974 | 46.0 | 3.60 |
| 1975 | 45.5 | 3.43 |
| 1976 | 45.5 | 3.25 |
| 1977 | 47.9 | 3.26 |
| 1978 | 50.3 | 3.26 |
| 1979 | 51.1 | 3.34 |
| 1980 | 51.1 | 3.35 |
| 1981 | 49.3 | 3.17 |
| 1982 | 43.9 | 2.76 |
| 1983 | 42.6 | 2.58 |
| 1984 | 44.4 | 2.58 |
| 1985 | 43.8 | 2.47 |
| 1986 | 46.1 | 2.51 |
| 1987 | 46.4 | 2.41 |
| 1988 | 47.1 | 2.32 |
| 1989 | 45.6 | 2.17 |
| 1990 | 44.6 | 2.08 |
| 1991 | 41.5 | 1.91 |
| 1992 | 39.3 | 1.75 |
| 1993 | 40.2 | 1.75 |
| 1994 | 40.7 | 1.73 |
| 1995 | 41.8 | 1.73 |
| 1996 | 42.1 | 1.69 |
| 1997 | 42.0 | 1.65 |
| 1998 | 41.5 | 1.58 |
| 1999 | 41.7 | 1.55 |
| 2000 | 41.9 | 1.53 |
| 2001 | 42.2 | 1.51 |
| 2002 | 43.0 | 1.51 |
| 2003 | 42.9 | 1.48 |
| 2004 | 42.8 | 1.44 |
| 2005 | 43.5 | 1.46 |
| 2006 | 42.7 | 1.42 |
| 2007 | 41.3 | 1.36 |
| 2008 | 37.4 | 1.26 |
| 2009 | 33.9 | 1.15 |
| 2010 | 33.0 | 1.11 |
| 2011 | 32.5 | 1.10 |
| 2012 | 33.8 | 1.14 |
| 2013 | 32.9 | 1.10 |
| 2014 | 32.7 | 1.08 |
| 2015 | 35.5 | 1.15 |
| 2016 | 37.8 | 1.19 |
| 2017 | 37.5 | 1.17 |
| 2018 | 36.8 | 1.14 |
| 2019 | 36.1 | 1.11 |
| 2020 | 39.0 | 1.34 |
| 2021 | 43.2 | 1.38 |
| 2022 | 42.7 | 1.34 |
| 2023 | 40.9 | 1.26 |
| 2024 | 39.3 | 1.19 |
Both the number of traffic fatalities and the fatality rate have changed significantly over time. As motor vehicle travel increased in the early twentieth century, traffic fatalities did as well. Economic factors in the 1930s affected traffic fatalities with notable declines in 1932 and 1938. However, by 1941, fatalities reached 38,142. World War II suppressed travel and traffic fatalities during the 1940s. From a low of 27,007 in 1942, traffic fatalities generally increased but did not surpass 38,000 again until 1962. After reaching a peak of 55,600 deaths in 1972, total fatalities trended downward and reached a low of 32,479 in 2011. Fatalities generally have increased since this low and have been around 40,000 in recent years. In 2024, fatalities dropped to 39,254. The fatality rate, however, tells a different story. After reaching a peak of 45 fatalities per 100 million VMT in 1909, the rate declined rapidly. By 1924, the rate dropped to below 20, and below 10 in 1946. The rate continued to decline throughout the remainder of the twentieth century with a low of 1.55 by 1999. The rate reached a low of 1.08 in 2014 but jumped to 1.34 in 2020. By 2024, the fatality rate dropped back to 1.19.
Table 8-6 breaks down the 39,254 fatalities in 2024 by the road’s functional classification. Over two-thirds of the fatalities (70 percent) took place on arterials, 19 percent on collectors, and 10 percent on local roads. (The road’s functional class was unknown for 1 percent of the deaths.) Fatality rates for the different functional classes come from dividing the number of deaths by the VMT in Chapter 3. While the overall rate in 2024 was 1.19 deaths per 100 million VMT, the rates varied by functional class: 1.14 for arterials, 1.66 for collectors, and 0.89 for local roads. Interstates, which are a subset of arterials, were comparatively safe with a fatality rate of 0.57 fatalities per 100 million VMT.
Fatalities by Functional System, 2024
| Functional System | Percent of Fatalities |
|---|---|
| Arterials: Interstate | 12.4% |
| Arterials: Non-Interstate | 57.2% |
| Arterials: All | 69.6% |
| Collectors | 19.3% |
| Local Roads | 9.8% |
| Unknown | 1.3% |


