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US counties aging fastest since 1990

Sumter County, Florida added +28.5 years to its median age since 1990, the fastest aging of any US county of 50,000 or more.

By CensusEasy Data Team·May 24, 2026·5 min read·Data: 1990 Decennial + ACS 5-year 2020-2024
US counties aging fastest since 1990

Every US state and almost every US county has aged since 1990, as the baby-boom cohort moved through middle age and into retirement. But the speed differs sharply across counties. The 25 counties with the largest increases in median age since 1990 are below.

Sumter County, Florida leads at +28.5 yrs, moving from a median age of 40.0 in 1990 to 68.5 today.

#Place1990LatestChange
1Sumter County, Florida40.0 yrs68.5 yrs+28.5 yrs
2Georgetown County, South Carolina32.7 yrs52.2 yrs+19.5 yrs
3Brunswick County, North Carolina37.2 yrs56.4 yrs+19.2 yrs
4Douglas County, Nevada36.1 yrs55.0 yrs+18.9 yrs
5Carroll County, New Hampshire36.8 yrs54.6 yrs+17.8 yrs
6Beaufort County, South Carolina30.5 yrs48.1 yrs+17.6 yrs
7Barnstable County, Massachusetts39.5 yrs55.4 yrs+15.9 yrs
8Nye County, Nevada36.7 yrs52.5 yrs+15.8 yrs
9Cumberland County, Tennessee37.7 yrs53.5 yrs+15.8 yrs
10Sussex County, Delaware36.6 yrs51.9 yrs+15.3 yrs
11Aroostook County, Maine33.2 yrs48.3 yrs+15.1 yrs
12Horry County, South Carolina33.9 yrs48.7 yrs+14.8 yrs
13Carteret County, North Carolina36.0 yrs50.5 yrs+14.5 yrs
14Santa Fe County, New Mexico34.6 yrs48.7 yrs+14.1 yrs
15Cape May County, New Jersey37.7 yrs51.8 yrs+14.1 yrs
16Clallam County, Washington38.3 yrs52.1 yrs+13.8 yrs
17Pike County, Pennsylvania35.9 yrs49.4 yrs+13.5 yrs
18Belknap County, New Hampshire35.0 yrs48.4 yrs+13.4 yrs
19Mohave County, Arizona40.2 yrs53.6 yrs+13.4 yrs
20Rutland County, Vermont34.4 yrs47.7 yrs+13.3 yrs
21Columbia County, New York36.5 yrs49.8 yrs+13.3 yrs
22Hancock County, Maine35.8 yrs49.0 yrs+13.2 yrs
23Franklin County, Virginia35.2 yrs48.4 yrs+13.2 yrs
24Somerset County, Maine33.8 yrs47.0 yrs+13.2 yrs
25Oxford County, Maine35.0 yrs48.2 yrs+13.2 yrs

Key findings

  • Sumter County, Florida leads the list at +28.5 yrs.
  • The 25th-ranked county on this list — Oxford County, Maine — shows +13.2 yrs.
  • Across the full universe of 1003 county rows with both data points, the typical change was +6.4 yrs.
  • The top gainers concentrate in Maine (4 of the top 25), South Carolina (3 of the top 25), North Carolina (2 of the top 25).

Where the pattern sits geographically

Maine (4 of the top 25), South Carolina (3 of the top 25), North Carolina (2 of the top 25) together account for the bulk of the top of this list. Click any county above to open its CensusEasy page, which carries the full historical time series for every metric we publish (income, education, housing, commute, race composition, industry mix), plus its rank within its state and its national percentile on each metric.

How to read this

This ranking is sorted by absolute change, not by percentage change. Absolute change is the figure that lines up with how readers experience these numbers in everyday life ("the typical household here earns $X more than in 1990"). The percentage-change framing surfaces a different set of county rows — usually places that started from a low base — and we publish those rankings separately on the rankings pages.

A single metric never tells the whole story. The smallest gain on this list can reflect either change in the same population staying in place, or compositional change as some residents leave and others arrive. Companion studies on poverty, education, and housing cost together describe the fuller picture.

The pattern reflects two distinct dynamics: retirement destinations that have aged through in-migration of older households, and shrinking counties where younger residents have left and the people who stayed are older.

Methodology

Median age of all residents, 1990 (STF1 P013) versus the latest ACS 5-year (B01002). Counties with at least 50,000 residents and both data points are included. The ranking is by absolute change in years.

Download the data

The full underlying ranking is available as a CSV — every place with both data points, not just the top rows shown above. Columns: rank, place, state, baseline value, latest value, change, and the CensusEasy URL for each place.

us-counties-aging-fastest-since-1990.csv
How to cite this report

You may cite or republish these findings, and the downloadable dataset is licensed under CC BY 4.0. Reuse requires that you credit CensusEasy and link back to this page so readers can verify the underlying data.

CensusEasy Data Team (2026). "US counties aging fastest since 1990." CensusEasy. Retrieved from https://censuseasy.com/studies/us-counties-aging-fastest-since-1990
Sources
  • 1990 Decennial Census — Summary Tape File 3A (STF3A), public-domain CD-ROM extracts. Median household income from P080, education attainment from P057, mean commute time computed from P049.
  • American Community Survey (ACS) 5-year estimates — US Census Bureau, latest published vintage, Tables B19013 (income), B15003 (education), B08303 / B08013 (commute), B25077 (home value).
  • Decennial Census 2020 — for population and density baselines.
  • BLS Consumer Price Index (CPI-U) — annual averages, used to convert nominal dollars to 2024 dollars. Source: US Bureau of Labor Statistics.
  • The full underlying tables for every place are available on each place's CensusEasy page; click any row in this study to open the place page.
Written by
CensusEasy Data Team

CensusEasy publishes original research grounded in US Census Bureau data. Every study includes the underlying numbers, methodology, and sources so readers can verify or extend the analysis.

Data note. Figures in this report are derived from US Census Bureau and Bureau of Labor Statistics data, including American Community Survey estimates that carry sampling margins of error. This information is provided as is, for general informational purposes, without warranty of accuracy or completeness. CensusEasy is not affiliated with or endorsed by the US Census Bureau or any government agency. See our Terms of Use for details.

US counties aging fastest since 1990 | CensusEasy Study · CensusEasy