AkashicThe youngest places in America (by median age)
Of the 100 counties with the lowest median age, 71 voted Republican and 29 Democratic in 2024 — a median of R+17.8, and as a group they shifted −5.7 points toward Republicans from 2020 to 2024.
Does median age move the vote?
Every U.S. county, plotted by how little of the community lives there against its 2024 presidential margin — the demographic dial on one axis, the political one on the other.
Across every county, the more median age a county is, the more Republican it votes — a mild relationship (r = −0.16).
| Median age range | Counties | Median margin |
|---|---|---|
| 31.0 – 32.4 | 102 | R+17.8 |
| 32.4 – 33.8 | 66 | R+23.9 |
| 33.8 – 35.2 | 89 | R+18.8 |
| 35.2 – 36.6 | 148 | R+21.4 |
| 36.6 – 38.0 | 210 | R+33.5 |
| 38.0 – 39.4 | 283 | R+35.8 |
| 39.4 – 40.8 | 407 | R+39.0 |
| 40.8 – 42.3 | 395 | R+43.9 |
| 42.3 – 43.7 | 348 | R+46.3 |
| 43.7 – 45.1 | 246 | R+45.6 |
| 45.1 – 46.5 | 139 | R+51.5 |
| 46.5 – 47.9 | 132 | R+37.6 |
| 47.9 – 49.3 | 76 | R+38.0 |
| 49.3 – 50.7 | 50 | R+33.5 |
| 50.7 – 52.1 | 41 | R+28.6 |
| 52.1 – 53.5 | 93 | R+31.1 |
Where median age is lowest
Every county shaded by median age — deep where the value bottoms out, pale at the other end. Counties below 5,000 population are suppressed.
The leaderboard
Ranked least to most by median age. Filter by region or state, switch the column lens, cap the list, and sort on any figure.
| # | 2008–24 | |||||
|---|---|---|---|---|---|---|
| 1 | Madison County, ID | 21.4 | R R+64.3 | −0.6 | 17,363 | |
| 2 | Lexington city, VA | 22.6 | D D+26.4 | −5.6 | 2,895 | |
| 3 | Radford city, VA | 23.3 | D D+0.5 | −8.5 | 6,583 | |
| 4 | Kusilvak Census Area, AK | 23.6 | D D+16.8 | −16.8 | 1,562 | |
| 5 | Williamsburg city, VA | 23.7 | D D+44.3 | +3.2 | 7,894 | |
| 6 | Chattahoochee County, GA | 24.4 | R R+16.5 | −3.0 | 1,694 | |
| 7 | Clay County, SD | 24.9 | D D+6.5 | −4.5 | 5,657 | |
| 8 | Harrisonburg city, VA | 25.0 | D D+25.2 | −6.5 | 17,332 | |
| 9 | Riley County, KS | 25.5 | D D+1.8 | −2.8 | 24,313 | |
| 10 | Oktibbeha County, MS | 25.5 | R R+0.3 | −6.8 | 18,051 | |
| 11 | Todd County, SD | 25.5 | D D+50.5 | −5.9 | 2,126 | |
| 12 | Utah County, UT | 25.8 | R R+39.8 | +0.6 | 298,143 | |
| 13 | Cache County, UT | 26.2 | R R+34.4 | +2.2 | 60,258 | |
| 14 | Whitman County, WA | 26.4 | D D+8.9 | −1.1 | 20,027 | |
| 15 | Brazos County, TX | 26.8 | R R+24.8 | −10.5 | 91,961 | |
| 16 | Story County, IA | 26.9 | D D+10.3 | −7.0 | 49,526 | |
| 17 | Geary County, KS | 27.1 | R R+17.6 | −3.7 | 9,163 | |
| 18 | Onslow County, NC | 27.7 | R R+35.8 | −5.6 | 81,681 | |
| 19 | Payne County, OK | 27.7 | R R+25.3 | −2.0 | 29,279 | |
| 20 | Dewey County, SD | 27.7 | D D+12.8 | −4.6 | 1,871 | |
| 21 | Pulaski County, MO | 27.8 | R R+50.3 | −4.6 | 15,549 | |
| 22 | Brookings County, SD | 28.0 | R R+17.4 | −4.4 | 14,939 | |
| 23 | Oglala Lakota County, SD | 28.2 | D D+70.6 | −8.6 | 3,062 | |
| 24 | Lincoln Parish, LA | 28.6 | R R+25.5 | −6.0 | 18,157 | |
| 25 | Lynchburg city, VA | 28.6 | R R+7.9 | −10.5 | 37,023 | |
| 26 | Albany County, WY | 28.6 | R R+3.1 | −5.9 | 17,877 | |
| 27 | Northwest Arctic Borough, AK | 28.8 | R R+4.4 | −21.0 | 1,535 | |
| 28 | Tippecanoe County, IN | 28.8 | R R+0.1 | −0.8 | 66,906 | |
| 29 | Christian County, KY | 28.8 | R R+33.6 | −5.2 | 21,671 | |
| 30 | Bethel Census Area, AK | 29.0 | D D+12.4 | −15.8 | 4,331 | |
| 31 | Liberty County, GA | 29.0 | D D+17.4 | −6.6 | 23,028 | |
| 32 | Kleberg County, TX | 29.0 | R R+12.7 | −11.0 | 10,014 | |
| 33 | Thurston County, NE | 29.2 | R R+6.9 | −4.5 | 2,123 | |
| 34 | Gaines County, TX | 29.3 | R R+82.6 | −2.9 | 6,416 | |
| 35 | Adams County, WA | 29.3 | R R+43.1 | −7.4 | 5,365 | |
| 36 | Nome Census Area, AK | 29.4 | D D+9.4 | −13.6 | 2,804 | |
| 37 | Starr County, TX | 29.4 | R R+16.0 | −21.0 | 16,421 | |
| 38 | Clarke County, GA | 29.6 | D D+38.3 | −3.8 | 52,887 | |
| 39 | Dallam County, TX | 29.9 | R R+78.3 | −4.2 | 1,447 | |
| 40 | Wayne County, NE | 30.0 | R R+48.8 | −0.4 | 4,106 | |
| 41 | Webb County, TX | 30.0 | R R+2.2 | −25.4 | 65,865 | |
| 42 | Isabella County, MI | 30.1 | R R+7.5 | −5.0 | 30,835 | |
| 43 | Adair County, MO | 30.2 | R R+33.6 | −7.4 | 10,239 | |
| 44 | Iron County, UT | 30.2 | R R+57.0 | −0.8 | 27,878 | |
| 45 | Montgomery County, VA | 30.2 | D D+3.5 | −2.3 | 47,053 | |
| 46 | Maverick County, TX | 30.3 | R R+18.5 | −27.9 | 15,745 | |
| 47 | Bulloch County, GA | 30.5 | R R+29.0 | −5.3 | 32,657 | |
| 48 | Hidalgo County, TX | 30.5 | R R+2.9 | −19.9 | 217,265 | |
| 49 | Latah County, ID | 30.6 | R R+8.0 | −11.7 | 20,461 | |
| 50 | Juab County, UT | 30.6 | R R+75.7 | −0.5 | 6,518 | |
| 51 | Champaign County, IL | 30.7 | D D+23.8 | +1.0 | 89,581 | |
| 52 | Lafayette County, MS | 30.7 | R R+21.8 | −9.5 | 23,409 | |
| 53 | Zavala County, TX | 30.8 | D D+14.4 | −17.0 | 3,492 | |
| 54 | Roosevelt County, MT | 30.9 | R R+9.6 | −7.4 | 3,914 | |
| 55 | Grand Forks County, ND | 30.9 | R R+18.0 | −4.7 | 31,411 | |
| 56 | Franklin County, WA | 30.9 | R R+22.6 | −8.1 | 31,897 | |
| 57 | Johnson County, IA | 31.0 | D D+37.8 | −5.4 | 86,644 | |
| 58 | Seward County, KS | 31.0 | R R+39.0 | −9.9 | 4,565 | |
| 59 | Monroe County, IN | 31.2 | D D+27.4 | −0.8 | 59,256 | |
| 60 | Moore County, TX | 31.2 | R R+67.1 | −7.3 | 5,362 | |
| 61 | Deaf Smith County, TX | 31.3 | R R+51.7 | −7.6 | 4,286 | |
| 62 | Waller County, TX | 31.3 | R R+25.0 | +1.7 | 27,561 | |
| 63 | Watauga County, NC | 31.4 | D D+6.0 | −2.3 | 33,095 | |
| 64 | Ector County, TX | 31.4 | R R+52.9 | −5.1 | 42,616 | |
| 65 | Johnson County, MO | 31.5 | R R+39.6 | −2.8 | 23,602 | |
| 66 | McKenzie County, ND | 31.5 | R R+69.2 | −1.5 | 5,521 | |
| 67 | Pike County, AL | 31.6 | R R+25.1 | −7.7 | 13,234 | |
| 68 | Douglas County, KS | 31.6 | D D+38.0 | −1.5 | 58,041 | |
| 69 | Blue Earth County, MN | 31.6 | R R+1.2 | −5.7 | 36,442 | |
| 70 | Rowan County, KY | 31.7 | R R+27.8 | −6.7 | 9,873 | |
| 71 | Merced County, CA | 31.8 | R R+4.4 | −14.9 | 86,392 | |
| 72 | Lowndes County, GA | 31.8 | R R+18.0 | −6.0 | 47,795 | |
| 73 | Williams County, ND | 31.8 | R R+67.6 | −0.9 | 15,122 | |
| 74 | Hamlin County, SD | 31.8 | R R+60.4 | −4.5 | 3,226 | |
| 75 | Finney County, KS | 31.9 | R R+34.7 | −10.0 | 10,782 | |
| 76 | Big Horn County, MT | 31.9 | R R+1.7 | −7.6 | 4,470 | |
| 77 | Curry County, NM | 31.9 | R R+42.6 | −2.0 | 15,223 | |
| 78 | Montgomery County, TN | 31.9 | R R+18.4 | −5.8 | 81,755 | |
| 79 | Lubbock County, TX | 31.9 | R R+39.5 | −7.4 | 125,038 | |
| 80 | Nacogdoches County, TX | 31.9 | R R+38.8 | −7.5 | 25,486 | |
| 81 | Clark County, AR | 32.0 | R R+20.5 | −6.4 | 7,657 | |
| 82 | Leon County, FL | 32.0 | D D+21.8 | −6.5 | 156,802 | |
| 83 | Wheeler County, GA | 32.0 | R R+45.1 | −6.0 | 2,276 | |
| 84 | Forrest County, MS | 32.0 | R R+17.9 | −6.8 | 28,466 | |
| 85 | Cumberland County, NC | 32.0 | D D+13.4 | −3.2 | 140,513 | |
| 86 | Erath County, TX | 32.0 | R R+68.0 | −4.2 | 18,351 | |
| 87 | Tulare County, CA | 32.1 | R R+20.7 | −12.9 | 138,271 | |
| 88 | Yolo County, CA | 32.1 | D D+36.2 | −5.2 | 92,589 | |
| 89 | Fredericksburg city, VA | 32.1 | D D+31.5 | −3.3 | 13,578 | |
| 90 | Houghton County, MI | 32.2 | R R+17.0 | −2.8 | 19,374 | |
| 91 | Tooele County, UT | 32.2 | R R+40.9 | −2.6 | 34,006 | |
| 92 | Alachua County, FL | 32.3 | D D+21.0 | −6.2 | 136,548 | |
| 93 | Ford County, KS | 32.3 | R R+38.4 | −6.3 | 8,224 | |
| 94 | Roosevelt County, NM | 32.3 | R R+43.2 | −0.3 | 6,639 | |
| 95 | Tompkins County, NY | 32.3 | D D+50.0 | +0.8 | 46,532 | |
| 96 | Bell County, TX | 32.3 | R R+16.2 | −7.7 | 130,662 | |
| 97 | Frio County, TX | 32.3 | R R+24.5 | −16.9 | 4,945 | |
| 98 | Val Verde County, TX | 32.3 | R R+26.6 | −16.7 | 14,588 | |
| 99 | Yoakum County, TX | 32.3 | R R+70.9 | −4.4 | 2,393 | |
| 100 | Zapata County, TX | 32.3 | R R+22.4 | −17.1 | 4,871 |
Source. Demographics — U.S. Census American Community Survey 2024 5-year (ancestry B04006, language C16001, income B19013/B19001, education S1501, poverty S1701); adherence — 2020 U.S. Religion Census (ASARB); density — Census TIGER land area · counties and cities ≥ 5,000 population, ranked by median age; the medians are taken across the 100 top counties; the correlation is over all 2,825 eligible counties. Presidential results are two-party margins (MIT Election Lab); city results are precinct-derived for 2008–2024. A place can be demographically homogeneous and politically split — which is exactly what these tables are built to show. Real returns — nothing estimated.