The most White places in America
Of the 100 counties most defined by white, 100 voted Republican and 0 Democratic in 2024 — a median of R+59.2, and as a group they shifted −3.0 points toward Republicans from 2020 to 2024.
Does white move the vote?
Every U.S. county, plotted by how much 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 white a county is, the more Republican it votes — a moderate relationship (r = −0.50).
| White range | Counties | Median margin |
|---|---|---|
| 22.9% – 27.4% | 91 | D+19.4 |
| 27.4% – 31.9% | 43 | R+11.5 |
| 31.9% – 36.4% | 41 | D+14.8 |
| 36.4% – 40.9% | 70 | D+6.2 |
| 40.9% – 45.5% | 68 | R+5.5 |
| 45.5% – 50.0% | 63 | R+12.3 |
| 50.0% – 54.5% | 118 | R+20.8 |
| 54.5% – 59.0% | 127 | R+29.0 |
| 59.0% – 63.5% | 166 | R+34.3 |
| 63.5% – 68.0% | 162 | R+33.8 |
| 68.0% – 72.5% | 146 | R+42.3 |
| 72.5% – 77.0% | 209 | R+43.1 |
| 77.0% – 81.6% | 222 | R+32.7 |
| 81.6% – 86.1% | 293 | R+41.3 |
| 86.1% – 90.6% | 404 | R+45.5 |
| 90.6% – 95.1% | 602 | R+53.1 |
Where white concentrates
Every county shaded by white — deep where the community clusters, pale at the other end. Counties below 5,000 population are suppressed.
The leaderboard
Ranked most to least by white. Filter by region or state, switch the column lens, cap the list, and sort on any figure.
| # | 2008–24 | |||||
|---|---|---|---|---|---|---|
| 1 | Dickenson County, VA | 97.4% | R R+62.1 | −4.0 | 7,060 | |
| 2 | Holmes County, OH | 97.3% | R R+69.2 | −1.2 | 12,335 | |
| 3 | Magoffin County, KY | 97.2% | R R+64.1 | −9.7 | 5,274 | |
| 4 | Boone County, WV | 97.1% | R R+57.4 | −4.4 | 8,142 | |
| 5 | Lewis County, KY | 96.9% | R R+75.7 | −4.9 | 5,721 | |
| 6 | Tucker County, WV | 96.9% | R R+48.9 | +0.6 | 3,636 | |
| 7 | Jasper County, IL | 96.8% | R R+65.2 | −2.8 | 5,425 | |
| 8 | Clay County, WV | 96.8% | R R+62.3 | −1.7 | 3,240 | |
| 9 | Wyoming County, WV | 96.8% | R R+73.0 | −0.9 | 7,565 | |
| 10 | Knott County, KY | 96.7% | R R+59.2 | −5.3 | 6,003 | |
| 11 | Lawrence County, KY | 96.6% | R R+67.2 | −4.0 | 6,574 | |
| 12 | Osage County, MO | 96.6% | R R+73.1 | −1.7 | 7,727 | |
| 13 | Russell County, VA | 96.6% | R R+67.4 | −3.9 | 13,547 | |
| 14 | Leslie County, KY | 96.5% | R R+80.9 | −0.4 | 4,357 | |
| 15 | Letcher County, KY | 96.5% | R R+63.9 | −4.5 | 8,431 | |
| 16 | Ritchie County, WV | 96.5% | R R+73.0 | −1.5 | 4,050 | |
| 17 | Scott County, TN | 96.4% | R R+79.8 | −2.3 | 9,605 | |
| 18 | Wirt County, WV | 96.4% | R R+66.3 | −3.4 | 2,581 | |
| 19 | Lincoln County, WV | 96.3% | R R+62.5 | −7.6 | 7,187 | |
| 20 | Nicholas County, WV | 96.3% | R R+60.2 | −3.3 | 10,037 | |
| 21 | Jackson County, KY | 96.2% | R R+81.8 | −2.5 | 5,934 | |
| 22 | Shelby County, IL | 96.0% | R R+60.2 | −3.1 | 11,670 | |
| 23 | Breathitt County, KY | 96.0% | R R+59.3 | −7.0 | 5,113 | |
| 24 | Estill County, KY | 96.0% | R R+63.2 | −6.0 | 6,290 | |
| 25 | Vinton County, OH | 95.9% | R R+58.6 | −3.8 | 5,738 | |
| 26 | Edgar County, IL | 95.8% | R R+52.3 | +0.1 | 7,912 | |
| 27 | Greene County, IL | 95.8% | R R+57.8 | −2.9 | 6,056 | |
| 28 | Adams County, OH | 95.8% | R R+65.7 | −2.2 | 12,429 | |
| 29 | Meigs County, OH | 95.8% | R R+57.0 | −3.8 | 10,400 | |
| 30 | Grant County, WV | 95.8% | R R+79.0 | −1.6 | 5,568 | |
| 31 | Franklin County, IN | 95.7% | R R+64.4 | −1.4 | 12,034 | |
| 32 | Perry County, OH | 95.7% | R R+54.5 | −5.0 | 16,992 | |
| 33 | Campbell County, TN | 95.7% | R R+69.6 | −3.4 | 15,528 | |
| 34 | Wayne County, WV | 95.7% | R R+53.4 | −3.2 | 15,747 | |
| 35 | Calhoun County, WV | 95.6% | R R+64.8 | −4.4 | 2,936 | |
| 36 | Jackson County, WV | 95.6% | R R+56.2 | −5.2 | 12,822 | |
| 37 | Logan County, WV | 95.6% | R R+66.7 | −3.8 | 11,469 | |
| 38 | Menifee County, KY | 95.5% | R R+57.7 | −7.3 | 3,294 | |
| 39 | Nicholas County, KY | 95.5% | R R+49.0 | −6.2 | 3,319 | |
| 40 | Jefferson County, PA | 95.5% | R R+58.5 | +0.4 | 23,129 | |
| 41 | Pike County, IN | 95.4% | R R+54.9 | −2.2 | 6,009 | |
| 42 | Floyd County, KY | 95.4% | R R+59.2 | −8.0 | 15,652 | |
| 43 | Marshall County, KY | 95.4% | R R+56.7 | −4.3 | 17,602 | |
| 44 | Bedford County, PA | 95.4% | R R+68.6 | −0.9 | 28,160 | |
| 45 | Scott County, VA | 95.4% | R R+70.3 | −2.5 | 11,077 | |
| 46 | Mason County, WV | 95.4% | R R+58.0 | −4.8 | 10,547 | |
| 47 | Crawford County, IN | 95.3% | R R+48.6 | −5.5 | 5,011 | |
| 48 | Vermillion County, IN | 95.3% | R R+44.7 | −4.1 | 7,256 | |
| 49 | Washington County, IN | 95.3% | R R+54.8 | −2.7 | 12,723 | |
| 50 | Rockcastle County, KY | 95.3% | R R+73.1 | −3.2 | 7,724 | |
| 51 | Jackson County, OH | 95.3% | R R+58.1 | −4.0 | 14,287 | |
| 52 | Monroe County, OH | 95.3% | R R+59.7 | −5.8 | 6,796 | |
| 53 | Hancock County, TN | 95.3% | R R+76.5 | +0.8 | 2,908 | |
| 54 | White County, IL | 95.2% | R R+59.4 | −1.9 | 7,067 | |
| 55 | Greene County, IN | 95.2% | R R+53.7 | −1.5 | 14,633 | |
| 56 | Carter County, KY | 95.2% | R R+58.4 | −5.5 | 11,422 | |
| 57 | Moultrie County, IL | 95.1% | R R+49.0 | −0.2 | 6,528 | |
| 58 | Union County, IN | 95.1% | R R+55.9 | +0.2 | 3,494 | |
| 59 | Mitchell County, IA | 95.1% | R R+31.1 | −3.2 | 5,771 | |
| 60 | Wolfe County, KY | 95.1% | R R+50.6 | −8.3 | 2,915 | |
| 61 | Daviess County, MO | 95.1% | R R+63.3 | −3.0 | 3,925 | |
| 62 | Clark County, IL | 95.0% | R R+51.2 | −0.6 | 8,206 | |
| 63 | Cumberland County, IL | 95.0% | R R+61.8 | −2.7 | 5,769 | |
| 64 | Monroe County, IL | 95.0% | R R+36.3 | −0.6 | 20,902 | |
| 65 | Wayne County, IL | 95.0% | R R+70.9 | −0.4 | 8,275 | |
| 66 | Owen County, IN | 95.0% | R R+50.7 | −1.6 | 9,876 | |
| 67 | Buchanan County, IA | 95.0% | R R+28.1 | −7.2 | 10,750 | |
| 68 | Clayton County, IA | 95.0% | R R+34.4 | −5.6 | 9,400 | |
| 69 | Knox County, KY | 95.0% | R R+71.1 | −4.1 | 13,156 | |
| 70 | Cedar County, NE | 95.0% | R R+69.6 | −0.9 | 4,938 | |
| 71 | Preble County, OH | 95.0% | R R+59.1 | −1.7 | 21,656 | |
| 72 | Tioga County, PA | 95.0% | R R+51.8 | −0.6 | 21,587 | |
| 73 | Mingo County, WV | 95.0% | R R+73.8 | −2.5 | 8,490 | |
| 74 | Roane County, WV | 95.0% | R R+53.8 | −6.0 | 5,521 | |
| 75 | Grundy County, IA | 94.9% | R R+41.7 | −4.3 | 7,146 | |
| 76 | Clark County, MO | 94.9% | R R+61.5 | −2.8 | 3,333 | |
| 77 | Armstrong County, PA | 94.9% | R R+53.2 | −0.9 | 37,119 | |
| 78 | Pickett County, TN | 94.9% | R R+66.1 | −2.8 | 2,954 | |
| 79 | Taylor County, WV | 94.9% | R R+51.3 | −1.5 | 7,265 | |
| 80 | Clay County, IL | 94.8% | R R+67.3 | −2.1 | 6,769 | |
| 81 | Menard County, IL | 94.8% | R R+41.4 | −2.0 | 6,431 | |
| 82 | Piatt County, IL | 94.8% | R R+30.5 | −0.9 | 9,508 | |
| 83 | Washington County, IL | 94.8% | R R+57.2 | −0.8 | 7,562 | |
| 84 | Ohio County, IN | 94.8% | R R+55.5 | −5.0 | 3,091 | |
| 85 | Monroe County, IA | 94.8% | R R+50.6 | −4.1 | 4,158 | |
| 86 | Greenup County, KY | 94.8% | R R+50.5 | −5.5 | 17,374 | |
| 87 | Laurel County, KY | 94.8% | R R+69.8 | −3.1 | 27,887 | |
| 88 | Edwards County, IL | 94.7% | R R+71.1 | −1.4 | 3,289 | |
| 89 | Hamilton County, IL | 94.7% | R R+63.3 | −3.0 | 4,181 | |
| 90 | Pike County, IL | 94.7% | R R+63.7 | −2.8 | 7,509 | |
| 91 | Garrett County, MD | 94.7% | R R+53.8 | +2.0 | 15,838 | |
| 92 | Brown County, OH | 94.7% | R R+61.5 | −4.1 | 21,444 | |
| 93 | Jersey County, IL | 94.6% | R R+50.2 | −2.1 | 11,694 | |
| 94 | Martin County, IN | 94.6% | R R+60.7 | −2.0 | 4,992 | |
| 95 | Switzerland County, IN | 94.6% | R R+57.4 | −5.2 | 4,258 | |
| 96 | Butler County, IA | 94.6% | R R+45.2 | −6.7 | 8,046 | |
| 97 | Keokuk County, IA | 94.6% | R R+51.5 | −6.5 | 5,150 | |
| 98 | Bath County, KY | 94.6% | R R+51.3 | −8.4 | 5,389 | |
| 99 | Carroll County, OH | 94.6% | R R+54.7 | −2.0 | 13,819 | |
| 100 | Darke County, OH | 94.6% | R R+65.4 | −1.7 | 27,002 |
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 white; 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.