placestats

Median age and Share White, not Hispanic

Where Median age is higher, Share White, not Hispanic tends to be higher. The link is weak: +0.37 across 3,142 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 41 states, the middle value of the link is +0.48.

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

Median age

The middle age of the county: half the residents are older and half are younger. The typical county is 41.5, and four in five are between 36 and 49. The extremes come from one big group of residents, such as retirees or students: 68.9 in Loving County, Texas and 68.4 in Sumter County, Florida, against 21.4 in Madison County, Idaho, where a university sets the middle age. Since it is a middle value, county figures cannot be averaged into a state figure.

Census ACS 5-year · ACS table B01002_001

Share White, not Hispanic

The percentage of residents who are White alone and not Hispanic or Latino. It comes from a table that sorts people by both race and Hispanic origin, so nobody is counted twice. The eight race and ethnicity shares here add up to exactly 100% in every county.

Census ACS 5-year · ACS table B03002_003, divided by total population

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 median age

Median ageShare White, not Hispanic
Highest
Loving County, TX68.9 years90.7%
Sumter County, FL68.4 years84.1%
Catron County, NM62.6 years78.9%
Terrell County, TX60.9 years57.2%
Charlotte County, FL60 years82.4%
Lowest
Madison County, ID21.4 years84.5%
Lexington city, VA22.5 years79.2%
Radford city, VA23 years81.3%
Kusilvak Census Area, AK23.6 years3.07%
Chattahoochee County, GA23.9 years54.1%

By share White, not Hispanic

Median ageShare White, not Hispanic
Highest
Blaine County, NE56.8 years100%
McPherson County, NE46.6 years99.4%
Petroleum County, MT51.5 years99.3%
Rock County, NE45.2 years98.4%
Garfield County, MT43.9 years97.8%
Lowest
Patillas Municipio, PR48 years0%
Naranjito Municipio, PR43.4 years0%
Comerío Municipio, PR42 years0%
Ponce Municipio, PR43.9 years0.421%
Arecibo Municipio, PR45.1 years0.427%
States

By median age

Median ageShare White, not Hispanic
Highest
Maine44.8 years90.6%
Puerto Rico44.2 years0.761%
New Hampshire43.2 years87.5%
Vermont43 years90.6%
West Virginia42.7 years90.2%
Lowest
Utah31.7 years75.7%
District of Columbia34.9 years36.6%
Texas35.5 years39.9%
Alaska35.6 years58.3%
North Dakota35.7 years82.5%

By share White, not Hispanic

Median ageShare White, not Hispanic
Highest
Maine44.8 years90.6%
Vermont43 years90.6%
West Virginia42.7 years90.2%
New Hampshire43.2 years87.5%
Montana40.2 years84.1%
Lowest
Puerto Rico44.2 years0.761%
Hawaii40.6 years21.1%
California37.6 years34.6%
New Mexico39.2 years36.5%
District of Columbia34.9 years36.6%
Metro areas — Median age is not published for metro areas

By share White, not Hispanic

Median ageShare White, not Hispanic
Highest
Pikeville, KY—95.3%
Greenville, OH—95.1%
Effingham, IL—94.9%
Warren, PA—94.9%
Wapakoneta, OH—94.8%
Lowest
Guayama, PR—0%
Ponce, PR—0.421%
Arecibo, PR—0.427%
San Juan-Bayamón-Caguas, PR—1.14%
Utuado, PR—1.27%
Cities and towns

By median age

Median ageShare White, not Hispanic
Highest
Leisure World CDP, MD76.9 years60.8%
Desert Palms CDP, CA76.2 years89.5%
Laguna Woods city, CA75 years68.1%
Sun City West CDP, AZ74.9 years94.5%
Pelican Bay CDP, FL73.8 years93.7%
Lowest
Kiryas Joel village, NY15.1 years96.2%
Monsey CDP, NY15.6 years96.1%
New Square village, NY15.8 years97.1%
Kaser village, NY15.9 years96%
Lakewood CDP, NJ17.3 years82.3%

By share White, not Hispanic

Median ageShare White, not Hispanic
Highest
Treasure Lake CDP, PA46.2 years99.2%
Litchfield city, IL43.2 years98.8%
Cicero town, IN44.4 years98.2%
East Harwich CDP, MA60.1 years98.1%
Wellston city, OH40.7 years98.1%
Lowest
Mecca CDP, CA33.2 years0%
Earlimart CDP, CA25.2 years0%
Yabucoa zona urbana, PR43.9 years0%
San Lorenzo zona urbana, PR41.5 years0%
San Isidro comunidad, PR45.1 years0%
ZIP codes

By median age

Median ageShare White, not Hispanic
Highest
ZIP 92637 (Laguna Woods city, CA)75 years68.1%
ZIP 85375 (Sun City West CDP, AZ)74.8 years94.4%
ZIP 32162 (The Villages CDP, FL)74.2 years95.3%
ZIP 85622 (Pima County, AZ)73.1 years93.1%
ZIP 85351 (Sun City CDP, AZ)72.6 years88.9%
Lowest
ZIP 08701 (Ocean County, NJ)18.2 years84%
ZIP 55455 (Minneapolis city, MN)18.9 years69.3%
ZIP 22807 (Harrisonburg city, VA)18.9 years76.1%
ZIP 48109 (Ann Arbor city, MI)19.1 years61.6%
ZIP 93410 (California Polytechnic State University CDP, CA)19.2 years51.8%

By share White, not Hispanic

Median ageShare White, not Hispanic
Highest
ZIP 62056 (Montgomery County, IL)42.8 years99%
ZIP 47558 (Daviess County, IN)27.1 years98.9%
ZIP 47452 (Orange County, IN)47.3 years98.7%
ZIP 44627 (Holmes County, OH)25.2 years98.6%
ZIP 24609 (Tazewell County, VA)46.1 years98.5%
Lowest
ZIP 00952 (Sabana Seca comunidad, PR)51.2 years0%
ZIP 00782 (Comerío Municipio, PR)41.8 years0%
ZIP 00780 (Ponce Municipio, PR)39.9 years0%
ZIP 00731 (Ponce Municipio, PR)47.8 years0%
ZIP 00723 (Patillas Municipio, PR)48.5 years0%

Counties furthest from the pattern

Compared with the straight line that best fits all 3,161 counties: the five with far more share White, not Hispanic than their median age would suggest, and the five with far less.

Median ageShare White, not Hispanic
Above the line
Madison County, ID21.4 years84.5%
Clay County, SD24.5 years86.4%
Holmes County, OH32.5 years97.4%
Rowan County, KY31.2 years93.8%
Radford city, VA23 years81.3%
Below the line
Patillas Municipio, PR48 years0%
Rincón Municipio, PR49.6 years3.83%
Guaynabo Municipio, PR46.6 years1.48%
Utuado Municipio, PR46.3 years1.27%
San Sebastián Municipio, PR46.5 years1.97%

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+0.3893,142 counties reporting both
After adjusting for density, income and education+0.369the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.341size taken out as well as density
Also comparing only within each state+0.410each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight+0.373the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 290 equally weighted counties
Middle value inside single states+0.478the link worked out inside each of 41 states with at least 20 counties reporting
Using ranks, after adjusting+0.447uses 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 = 8.9e-102. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 3.8e-6. 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 7.3e-101.

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 +0.72 (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 median age rose most, did share white, not hispanicmove 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 pandemic3,145+0.18+0.15—
2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years3,143+0.17+0.17—

Both come from the American Community Survey, which asks a sample of households. Random error in a county's sample pushes both changes at once. So part of any agreement here is that shared error. It is shown, but not counted as a finding. 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 Median age and Share White, not Hispanic