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Share with a bachelor's degree or higher and Life expectancy

Where Share with a bachelor's degree or higher is higher, Life expectancy tends to be higher. The link is weak: +0.35 across 3,049 counties, on a scale from −1 (opposite) to +1 (in step). That figure compares places with the same population density, income and education, so those differences can't explain it. It holds inside states too. Measured separately within each of 40 states, the middle value of the link is +0.65.

Holds after adjusting

Every place, plotted

One dot for each place reporting both measures. Hover over or tap a dot to see its name and values. The thin line is the straight line that best fits the dots. The bold line, shown for counties, is the link after adjusting for density, income and education. A dot far from the lines is a place that does not follow the pattern.

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What each measure is

Share with a bachelor's degree or higher

The percentage of adults aged 25 and over who have at least a bachelor's degree. It counts degrees people already have, not people who are in college now.

Census ACS 5-year · ACS table B15003_022…B15003_025 (4 cells), divided by population aged 25 and over

Life expectancy

How long a baby born here would live if today's death rates stayed the same all its life. It sums up death rates now. It is not a prediction for any real child.

County Health Rankings · County Health Rankings v147

Highest and lowest

Where each measure is highest and lowest among the places reporting both (2023), with the other measure beside it. This is shown for every size of place where both are published. Metro-area values are added up from their counties. A measure that cannot be added up across counties, such as a middle value (median), has no metro figure. Counts are shown per 1,000 residents, since raw totals would only list the largest places. Cities and towns and ZIP codes are shown where the Census survey or the CDC publishes them; most other sources stop at the county. They are shown for places of 5,000 residents or more, and only where the survey’s margin of error is small enough for the figure to be usable. The CDC publishes its health estimates for cities in a version adjusted for age, so places with older or younger people can be compared fairly, but not for ZIP codes.

Counties

By share with a bachelor's degree or higher

Share with a bachelor's degree or higherLife expectancy
Highest
Falls Church city, VA79.7%78.3 years
Arlington County, VA77.1%83.9 years
Los Alamos County, NM68.2%83 years
Alexandria city, VA65.8%82.2 years
San Miguel County, CO65.2%86.5 years
Lowest
McDowell County, WV5.75%65.1 years
Elliott County, KY6.22%76.3 years
Newton County, TX6.23%71.8 years
Lee County, AR6.87%68.9 years
Reeves County, TX6.87%73.6 years

By life expectancy

Share with a bachelor's degree or higherLife expectancy
Highest
Pitkin County, CO64%94.2 years
Mono County, CA34.3%93.6 years
Summit County, CO52.5%92.4 years
Oliver County, ND20.5%92.2 years
Eagle County, CO50.3%89.7 years
Lowest
Buffalo County, SD6.99%54 years
Dewey County, SD17.3%56.7 years
Oglala Lakota County, SD9.78%56.9 years
Corson County, SD19.2%58.7 years
Todd County, SD16.6%58.7 years
States

By share with a bachelor's degree or higher

Share with a bachelor's degree or higherLife expectancy
Highest
District of Columbia63.6%76.5 years
Massachusetts46.6%79.7 years
Colorado44.7%78.5 years
New Jersey42.9%79 years
Maryland42.7%77.8 years
Lowest
West Virginia23.3%72.1 years
Mississippi24.2%71.9 years
Arkansas25.1%73.7 years
Louisiana26.6%73.3 years
Kentucky27%73.3 years

By life expectancy

Share with a bachelor's degree or higherLife expectancy
Highest
Hawaii35.5%81.4 years
Massachusetts46.6%79.7 years
California36.5%79.4 years
New York39.5%79.4 years
Minnesota38.8%79.3 years
Lowest
Mississippi24.2%71.9 years
West Virginia23.3%72.1 years
Alabama27.8%73.3 years
Kentucky27%73.3 years
Louisiana26.6%73.3 years
Metro areas — Life expectancy is not published for metro areas

By share with a bachelor's degree or higher

Share with a bachelor's degree or higherLife expectancy
Highest
Los Alamos, NM68.2%—
Boulder, CO63.9%—
Ithaca, NY59.3%—
Nantucket, MA58.4%—
Ann Arbor, MI58.1%—
Lowest
Town of Pecos, TX6.87%—
Summerville, GA10.7%—
Arcadia, FL11%—
Eufaula, AL-GA11.3%—
Clewiston, FL11.3%—
Cities and towns — Life expectancy is not published for cities and towns

By share with a bachelor's degree or higher

Share with a bachelor's degree or higherLife expectancy
Highest
University at Buffalo CDP, NY97.3%—
Stanford CDP, CA91.1%—
Scarsdale village, NY90.7%—
West University Place city, TX90.5%—
University Park city, TX90.4%—
Lowest
Binghamton University CDP, NY0%—
Corcoran city, CA3.16%—
McFarland city, CA4.11%—
Mecca CDP, CA4.26%—
Good Hope CDP, CA4.28%—
ZIP codes — Life expectancy is not published for ZIP codes

By share with a bachelor's degree or higher

Share with a bachelor's degree or higherLife expectancy
Highest
ZIP 19383 (Chester County, PA)98.6%—
ZIP 02210 (Boston city, MA)93.1%—
ZIP 53726 (Madison city, WI)91.8%—
ZIP 60654 (Chicago city, IL)91.8%—
ZIP 10069 (New York city, NY)91%—
Lowest
ZIP 36849 (Auburn city, AL)0%—
ZIP 13902 (Binghamton University CDP, NY)0%—
ZIP 92254 (Riverside County, CA)3.03%—
ZIP 89070 (Clark County, NV)3.45%—
ZIP 73108 (Oklahoma City city, OK)3.61%—

Counties furthest from the pattern

Compared with the straight line that best fits all 3,054 counties: the five with far more life expectancy than their share with a bachelor's degree or higher would suggest, and the five with far less.

Share with a bachelor's degree or higherLife expectancy
Above the line
Oliver County, ND20.5%92.2 years
Mono County, CA34.3%93.6 years
Denali Borough, AK23.6%88.6 years
Manassas Park city, VA25.5%88.9 years
Aleutians West Census Area, AK17.5%85.9 years
Below the line
Buffalo County, SD6.99%54 years
Dewey County, SD17.3%56.7 years
Corson County, SD19.2%58.7 years
Oglala Lakota County, SD9.78%56.9 years
Todd County, SD16.6%58.7 years

Two series, one county

Both measures over time for a county you pick. The two charts are stacked, so they share only the years along the bottom. You can pick from the thirty largest counties reporting both. This panel covers 2010–2024, and a measure published only once shows as a single dot.

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Every version of the link

Each row measures the same link, from −1 to +1, in a different way. If the rows mostly agree, the link does not depend on one choice of method.

Before adjusting for anything+0.6273,049 counties reporting both
After adjusting for density, income and education+0.349the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.345size taken out as well as density
Also comparing only within each state+0.352each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight+0.291the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 282 equally weighted counties
Middle value inside single states+0.651the link worked out inside each of 40 states with at least 20 counties reporting
Using ranks, after adjusting+0.396uses each county’s rank, not its value, so a few extreme counties cannot create the link

How much to believe it

Could it be chance?

The p-value is the chance of seeing a link this strong if there were really none. A value of 0.05 or less means the link is unlikely to be chance. Very small values are written in short form: 3.1e-16 means 0.00000000000000031, and the bigger the number after “e-”, the smaller the value. Treating every county as a separate case gives p = 7.5e-88. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 4.0e-17. The site tested 20,910 pairs, and testing so many turns up some flukes. The q-value allows for that too. For this pair it is 5.7e-87.

Do nearby places look alike?

Moran’s I measures how much nearby places look alike: 0 means no map pattern, and higher means neighbours are more similar. For the part of each county that the adjustment leaves unexplained, it is +0.31 (p = 0.001). That unexplained part still clusters on the map. So some regional factor shared by both measures is not accounted for.

Did they change together?

The figures above compare counties at one moment. This asks a different question: where share with a bachelor's degree or higher rose most, did life expectancymove too? Each county’s change is compared with the average change in its own state. That takes out ups and downs that hit a whole region at once. Each change is the gap between two estimates that both contain some error. That error pulls these links towards zero, so a weak one is weak partly for that reason. The q column shows whether a link could be a fluke, allowing for the many pairs tested: 0.05 or less means it is unlikely to be chance.

PeriodCountiesChange togetherWithin statesq
2014–2019 the main test: each Census survey figure averages five years, and these two do not overlap; before the pandemic————
2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years3,052+0.08+0.090.064

Measured over the nearest years published: Life expectancy: 2019–2022 for the 2019–2023 row.

Not measurable over the main period, so only the second period is shown. How change is measured.

Related pairs

Association only. Nothing here shows that either measure changes the other. This describes counties, not the people in them. Two measures going together across places does not mean the same people have both. How the US county data works · Explore Share with a bachelor's degree or higher and Life expectancy