AkashicThe most German-ancestry places in America
Of the 100 counties most defined by german, 99 voted Republican and 1 Democratic in 2024 — a median of R+41.8, and as a group they shifted −2.2 points toward Republicans from 2020 to 2024.
Does german 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, german barely moves the vote either way — little relationship (r = −0.13).
| German range | Counties | Median margin |
|---|---|---|
| 2.1% – 4.7% | 308 | R+18.7 |
| 4.7% – 7.3% | 357 | R+41.2 |
| 7.3% – 9.9% | 368 | R+43.4 |
| 9.9% – 12.5% | 308 | R+43.8 |
| 12.5% – 15.1% | 247 | R+35.6 |
| 15.1% – 17.7% | 206 | R+36.7 |
| 17.7% – 20.3% | 194 | R+42.9 |
| 20.3% – 22.9% | 163 | R+34.3 |
| 22.9% – 25.4% | 131 | R+43.4 |
| 25.4% – 28.0% | 92 | R+40.8 |
| 28.0% – 30.6% | 103 | R+40.6 |
| 30.6% – 33.2% | 84 | R+38.1 |
| 33.2% – 35.8% | 63 | R+43.4 |
| 35.8% – 38.4% | 58 | R+41.0 |
| 38.4% – 41.0% | 48 | R+35.4 |
| 41.0% – 43.6% | 95 | R+42.0 |
Where german concentrates
Every county shaded by german — deep where the community clusters, pale at the other end. Counties below 5,000 population are suppressed.
The leaderboard
Ranked most to least by german. Filter by region or state, switch the column lens, cap the list, and sort on any figure.
| # | 2008–24 | |||||
|---|---|---|---|---|---|---|
| 1 | Hutchinson County, SD | 58.8% | R R+57.9 | +0.0 | 3,736 | |
| 2 | Brown County, MN | 56.8% | R R+35.0 | −2.3 | 14,598 | |
| 3 | Sibley County, MN | 54.5% | R R+42.9 | −2.1 | 8,537 | |
| 4 | Mercer County, OH | 53.8% | R R+66.7 | −1.8 | 23,753 | |
| 5 | Pierce County, NE | 52.8% | R R+76.1 | −1.7 | 3,910 | |
| 6 | Putnam County, OH | 52.3% | R R+68.7 | −2.4 | 19,758 | |
| 7 | Osage County, MO | 52.0% | R R+73.1 | −1.7 | 7,727 | |
| 8 | Walworth County, SD | 51.8% | R R+59.2 | −4.9 | 2,466 | |
| 9 | Carroll County, IA | 51.6% | R R+41.8 | −4.1 | 11,140 | |
| 10 | Washington County, WI | 50.9% | R R+36.2 | +1.9 | 91,407 | |
| 11 | Cedar County, NE | 50.7% | R R+69.6 | −0.9 | 4,938 | |
| 12 | Chickasaw County, IA | 49.6% | R R+37.1 | −5.8 | 6,239 | |
| 13 | Cuming County, NE | 49.4% | R R+59.9 | −0.7 | 4,457 | |
| 14 | Dodge County, WI | 49.4% | R R+32.9 | −1.9 | 50,300 | |
| 15 | Taylor County, WI | 49.2% | R R+48.1 | −1.7 | 11,186 | |
| 16 | Nemaha County, KS | 49.1% | R R+67.0 | −1.3 | 5,620 | |
| 17 | Calumet County, WI | 48.8% | R R+19.9 | −0.3 | 32,916 | |
| 18 | Lincoln County, WI | 48.4% | R R+25.1 | −2.4 | 17,209 | |
| 19 | Mercer County, ND | 47.9% | R R+68.6 | −1.2 | 4,555 | |
| 20 | Manitowoc County, WI | 47.9% | R R+23.3 | −0.1 | 46,316 | |
| 21 | Butler County, IA | 47.6% | R R+45.2 | −6.7 | 8,046 | |
| 22 | Jackson County, MN | 47.3% | R R+42.0 | −4.1 | 5,644 | |
| 23 | Big Stone County, MN | 46.9% | R R+29.5 | −2.2 | 2,824 | |
| 24 | Marathon County, WI | 46.9% | R R+18.6 | −0.6 | 78,826 | |
| 25 | Bremer County, IA | 46.8% | R R+22.1 | −6.0 | 14,607 | |
| 26 | Fond du Lac County, WI | 46.8% | R R+28.7 | −2.2 | 58,527 | |
| 27 | Dubois County, IN | 46.7% | R R+42.2 | −2.0 | 21,424 | |
| 28 | Clayton County, IA | 46.6% | R R+34.4 | −5.6 | 9,400 | |
| 29 | Morton County, ND | 46.6% | R R+53.4 | −3.0 | 17,036 | |
| 30 | Delaware County, IA | 46.5% | R R+39.5 | −4.4 | 10,138 | |
| 31 | McLeod County, MN | 46.5% | R R+37.8 | −1.7 | 21,199 | |
| 32 | Kossuth County, IA | 46.4% | R R+44.1 | −4.7 | 8,397 | |
| 33 | Ellis County, KS | 46.1% | R R+46.1 | −2.5 | 13,511 | |
| 34 | Jefferson County, WI | 46.1% | R R+16.3 | −1.1 | 50,146 | |
| 35 | Washington County, IL | 45.9% | R R+57.2 | −0.8 | 7,562 | |
| 36 | Marquette County, WI | 45.9% | R R+29.6 | −2.2 | 9,427 | |
| 37 | McCook County, SD | 45.4% | R R+49.3 | −4.5 | 3,031 | |
| 38 | Merrick County, NE | 45.2% | R R+64.6 | −2.1 | 4,368 | |
| 39 | Sheboygan County, WI | 45.1% | R R+16.3 | −0.4 | 67,562 | |
| 40 | Redwood County, MN | 45.0% | R R+43.2 | −1.9 | 8,326 | |
| 41 | Ida County, IA | 44.9% | R R+53.2 | −2.2 | 3,655 | |
| 42 | Russell County, KS | 44.8% | R R+61.3 | +1.9 | 3,301 | |
| 43 | Henry County, OH | 44.8% | R R+46.7 | −3.3 | 14,912 | |
| 44 | Wood County, WI | 44.8% | R R+19.9 | −0.7 | 42,216 | |
| 45 | Dubuque County, IA | 44.7% | R R+8.6 | −5.7 | 52,770 | |
| 46 | Auglaize County, OH | 44.3% | R R+64.6 | −1.9 | 25,629 | |
| 47 | Grant County, SD | 44.3% | R R+45.4 | −3.7 | 3,630 | |
| 48 | Waupaca County, WI | 44.3% | R R+33.4 | −1.6 | 30,403 | |
| 49 | Grundy County, IA | 44.2% | R R+41.7 | −4.3 | 7,146 | |
| 50 | Kearney County, NE | 44.1% | R R+57.9 | +0.8 | 3,615 | |
| 51 | Clinton County, IL | 44.0% | R R+51.8 | −0.7 | 19,230 | |
| 52 | Knox County, NE | 43.8% | R R+63.1 | −3.3 | 4,448 | |
| 53 | Burleigh County, ND | 43.8% | R R+42.8 | −2.6 | 52,263 | |
| 54 | Spink County, SD | 43.8% | R R+39.0 | −4.0 | 3,139 | |
| 55 | Meeker County, MN | 43.7% | R R+42.7 | −2.1 | 13,694 | |
| 56 | Wabasha County, MN | 43.7% | R R+28.1 | −1.8 | 13,509 | |
| 57 | Jo Daviess County, IL | 43.6% | R R+16.8 | −0.4 | 12,414 | |
| 58 | Nicollet County, MN | 43.6% | R R+0.5 | −3.7 | 19,417 | |
| 59 | Gage County, NE | 43.6% | R R+39.0 | −2.5 | 10,965 | |
| 60 | Wayne County, NE | 43.4% | R R+48.8 | −0.4 | 4,106 | |
| 61 | Ozaukee County, WI | 43.2% | R R+10.4 | +1.6 | 63,472 | |
| 62 | Cherokee County, IA | 43.1% | R R+45.7 | −6.4 | 6,105 | |
| 63 | Shawano County, WI | 43.0% | R R+36.2 | −0.7 | 23,500 | |
| 64 | Clay County, IA | 42.9% | R R+43.1 | −4.3 | 8,541 | |
| 65 | Renville County, MN | 42.9% | R R+41.3 | −4.8 | 8,058 | |
| 66 | Todd County, MN | 42.9% | R R+53.4 | −4.6 | 13,718 | |
| 67 | Stutsman County, ND | 42.9% | R R+44.3 | −1.0 | 10,134 | |
| 68 | Price County, WI | 42.9% | R R+31.1 | −3.5 | 8,856 | |
| 69 | Richland County, ND | 42.8% | R R+37.6 | −4.8 | 8,261 | |
| 70 | Hamilton County, NE | 42.7% | R R+60.1 | −2.8 | 5,573 | |
| 71 | Brown County, SD | 42.7% | R R+26.8 | −3.8 | 17,043 | |
| 72 | Winnebago County, WI | 42.7% | R R+4.7 | −0.8 | 95,371 | |
| 73 | Effingham County, IL | 42.6% | R R+60.3 | −1.1 | 19,084 | |
| 74 | Green Lake County, WI | 42.6% | R R+36.3 | −0.4 | 11,052 | |
| 75 | Seward County, NE | 42.5% | R R+46.3 | −2.3 | 9,240 | |
| 76 | Elk County, PA | 42.5% | R R+47.0 | −1.9 | 17,153 | |
| 77 | Washington County, KS | 42.4% | R R+69.1 | −3.7 | 2,700 | |
| 78 | Douglas County, MN | 42.4% | R R+35.0 | −2.2 | 25,107 | |
| 79 | Floyd County, IA | 42.3% | R R+25.6 | −6.2 | 7,650 | |
| 80 | Langlade County, WI | 42.2% | R R+34.6 | −2.1 | 11,664 | |
| 81 | Faribault County, MN | 42.1% | R R+37.3 | −3.7 | 7,761 | |
| 82 | Door County, WI | 42.0% | D D+2.2 | +0.8 | 20,944 | |
| 83 | Outagamie County, WI | 41.9% | R R+10.2 | −0.3 | 111,932 | |
| 84 | Antelope County, NE | 41.8% | R R+76.2 | −2.6 | 3,458 | |
| 85 | Stark County, ND | 41.8% | R R+65.2 | −1.4 | 15,100 | |
| 86 | Pepin County, WI | 41.8% | R R+29.3 | −2.9 | 4,354 | |
| 87 | Waukesha County, WI | 41.7% | R R+19.7 | +1.1 | 275,787 | |
| 88 | Waushara County, WI | 41.7% | R R+35.2 | −1.1 | 14,363 | |
| 89 | Mitchell County, IA | 41.5% | R R+31.1 | −3.2 | 5,771 | |
| 90 | Stanton County, NE | 41.5% | R R+66.4 | −2.3 | 3,076 | |
| 91 | Sac County, IA | 41.4% | R R+51.5 | −3.2 | 5,460 | |
| 92 | Rock County, MN | 41.4% | R R+39.2 | −0.5 | 5,373 | |
| 93 | Cedar County, IA | 41.2% | R R+21.7 | −4.7 | 10,644 | |
| 94 | Murray County, MN | 41.2% | R R+42.3 | −3.2 | 4,769 | |
| 95 | Boone County, NE | 41.1% | R R+65.9 | +0.9 | 3,040 | |
| 96 | Dickinson County, IA | 41.0% | R R+39.9 | −6.3 | 11,234 | |
| 97 | Fayette County, IA | 40.9% | R R+30.4 | −7.7 | 9,848 | |
| 98 | Le Sueur County, MN | 40.8% | R R+33.6 | −3.3 | 17,466 | |
| 99 | Snyder County, PA | 40.8% | R R+47.0 | +0.4 | 20,038 | |
| 100 | Buffalo County, WI | 40.8% | R R+30.2 | −5.0 | 8,100 |
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 german; 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.