Tuscola County, Michigan
Precinct data
Results by precinct
55 precincts · 30,717 votes
Precinct boundaries and identifiers are cycle-specific. This table does not join rows across years without a validated crosswalk.
| Precinct -Millington Township, Precinct 1Millington Township, Precinct 1 | 797 | 1,783 | 34 | 2,614 | 30.5% | 68.2% | R+37.7 |
|---|---|---|---|---|---|---|---|
| Precinct -City of Caro, Precinct 1City of Caro, Precinct 1 | 795 | 1,300 | 34 | 2,129 | 37.3% | 61.1% | R+23.7 |
| Precinct -Vassar Township, Precinct 1Vassar Township, Precinct 1 | 604 | 1,475 | 21 | 2,100 | 28.8% | 70.2% | R+41.5 |
| Precinct -Elkland Township, Precinct 1Elkland Township, Precinct 1 | 536 | 1,359 | 27 | 1,922 | 27.9% | 70.7% | R+42.8 |
| Precinct -Fremont Township, Precinct 1Fremont Township, Precinct 1 | 495 | 1,328 | 31 | 1,854 | 26.7% | 71.6% | R+44.9 |
| Precinct -Denmark Township, Precinct 1Denmark Township, Precinct 1 | 440 | 1,307 | 21 | 1,768 | 24.9% | 73.9% | R+49.0 |
| Precinct -Indianfields Township, Precinct 1Indianfields Township, Precinct 1 | 397 | 946 | 16 | 1,359 | 29.2% | 69.6% | R+40.4 |
| Precinct -City of Vassar, Precinct 1City of Vassar, Precinct 1 | 442 | 873 | 18 | 1,333 | 33.2% | 65.5% | R+32.3 |
| Precinct -Tuscola Township, Precinct 1Tuscola Township, Precinct 1 | 343 | 915 | 17 | 1,275 | 26.9% | 71.8% | R+44.9 |
| Precinct -Watertown Township, Precinct 1Watertown Township, Precinct 1 | 365 | 889 | 19 | 1,273 | 28.7% | 69.8% | R+41.2 |
| Precinct -Almer Township, Precinct 1Almer Township, Precinct 1 | 340 | 814 | 18 | 1,172 | 29.0% | 69.5% | R+40.4 |
| Precinct -Dayton Township, Precinct 1Dayton Township, Precinct 1 | 288 | 819 | 14 | 1,121 | 25.7% | 73.1% | R+47.4 |
| Precinct -Juniata Township, Precinct 1Juniata Township, Precinct 1 | 290 | 681 | 9 | 980 | 29.6% | 69.5% | R+39.9 |
| Precinct -Arbela Township, Precinct 1Arbela Township, Precinct 1 | 293 | 649 | 16 | 958 | 30.6% | 67.7% | R+37.2 |
| Precinct -Wells Township, Precinct 1Wells Township, Precinct 1 | 253 | 678 | 14 | 945 | 26.8% | 71.7% | R+45.0 |
| Precinct -Fairgrove Township, Precinct 1Fairgrove Township, Precinct 1 | 224 | 626 | 8 | 858 | 26.1% | 73.0% | R+46.9 |
| Precinct -Koylton Township, Precinct 1Koylton Township, Precinct 1 | 150 | 686 | 7 | 843 | 17.8% | 81.4% | R+63.6 |
| Precinct -Novesta Township, Precinct 1Novesta Township, Precinct 1 | 164 | 641 | 10 | 815 | 20.1% | 78.7% | R+58.5 |
| Precinct -Arbela Township, Precinct 2Arbela Township, Precinct 2 | 270 | 538 | 4 | 812 | 33.3% | 66.3% | R+33.0 |
| Precinct -Kingston Township, Precinct 1Kingston Township, Precinct 1 | 159 | 643 | 9 | 811 | 19.6% | 79.3% | R+59.7 |
| Precinct -Akron Township, Precinct 1Akron Township, Precinct 1 | 184 | 602 | 6 | 792 | 23.2% | 76.0% | R+52.8 |
| Precinct -Ellington Township, Precinct 1Ellington Township, Precinct 1 | 195 | 559 | 11 | 765 | 25.5% | 73.1% | R+47.6 |
| Precinct -Columbia Township, Precinct 1Columbia Township, Precinct 1 | 181 | 560 | 4 | 745 | 24.3% | 75.2% | R+50.9 |
| Precinct -Elmwood Township, Precinct 1Elmwood Township, Precinct 1 | 149 | 450 | 13 | 612 | 24.3% | 73.5% | R+49.2 |
| Precinct -Gilford Township, Precinct 1Gilford Township, Precinct 1 | 114 | 355 | 3 | 472 | 24.2% | 75.2% | R+51.1 |
| Precinct -Wisner Township, Precinct 1Wisner Township, Precinct 1 | 94 | 288 | 7 | 389 | 24.2% | 74.0% | R+49.9 |
| 1570072000001157-00720-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1570162000001157-01620-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1570322000001157-03220-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1570322000002157-03220-00002 | 0 | 0 | 0 | 0 | — | — | Even |
| 1571342000001157-13420-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1571342000002157-13420-00002 | 0 | 0 | 0 | 0 | — | — | Even |
| 1571742000001157-17420-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1571998000001157-19980-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1572160000001157-21600-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1572530000001157-25300-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1572530000002157-25300-00002 | 0 | 0 | 0 | 0 | — | — | Even |
| 1572538000001157-25380-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1572572000001157-25720-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1572710000001157-27100-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1573076000001157-30760-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1573216000001157-32160-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1574044000001157-40440-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1574214000001157-42140-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1574340000001157-43400-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1574388000001157-43880-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1575424000001157-54240-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1575424000002157-54240-00002 | 0 | 0 | 0 | 0 | — | — | Even |
| 1575942000001157-59420-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1578094000001157-80940-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1578184000001157-81840-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1578186000001157-81860-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1578446000001157-84460-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1578528000001157-85280-00001 | 0 | 0 | 0 | 0 | — | — | Even |
| 1578808000001157-88080-00001 | 0 | 0 | 0 | 0 | — | — | Even |
Presidential margin, 1892–2024
Democratic minus Republican, by election
| Year | Margin (D minus R) |
|---|---|
| 1892 | −19.3% |
| 1896 | −8.9% |
| 1900 | −26.9% |
| 1904 | −50.2% |
| 1908 | −44.6% |
| 1912 | −17.7% |
| 1916 | −30.3% |
| 1920 | −68.3% |
| 1924 | −68.8% |
| 1928 | −69.3% |
| 1932 | −9.1% |
| 1936 | −22.2% |
| 1940 | −51.2% |
| 1944 | −53.6% |
| 1948 | −49.4% |
| 1952 | −56.5% |
| 1956 | −51.4% |
| 1960 | −38.0% |
| 1964 | +11.0% |
| 1968 | −33.2% |
| 1972 | −37.6% |
| 1976 | −20.5% |
| 1980 | −25.2% |
| 1984 | −40.4% |
| 1988 | −14.3% |
| 1992 | +2.0% |
| 1996 | +5.1% |
| 2000 | −9.6% |
| 2004 | −9.7% |
| 2008 | −0.9% |
| 2012 | −10.8% |
| 2016 | −37.3% |
| 2020 | −39.3% |
| 2024 | −43.0% |
U.S. Senate
Registered voters
Total registered voters, over time
| Year | Total registered |
|---|---|
| 2016 | 40,793 |
| 2018 | 40,621 |
| 2020 | 42,995 |
| 2022 | 43,128 |
| 2024 | 43,832 |
Who moves in and out
Net migration over time, and who arrivals are — where they came from and what those places vote
−13 net domestic migration · 2025
Net −2,960 over 2011–2025 · gain loss
Arrivals reported $45,556 in average income, against $60,132 for residents who stayed — 24% lower. (IRS SOI, 2022–23)
The places arrivals came from lean R+14.0 on average — 29 points more Democratic-leaning than Tuscola County, MI itself (R+43.0).
Where arrivals came from lean of each source
- Genesee County, MI217D+4.2
- Saginaw County, MI151R+3.3
- Lapeer County, MI119R+39.8
- Huron County, MI92R+40.6
- Bay County, MI79R+14.7
- Sanilac County, MI66R+47.7
Where departures went households, 2022–23
- Saginaw County, MI181
- Genesee County, MI180
- Lapeer County, MI100
- Bay County, MI94
- Huron County, MI65
- Oakland County, MI54
Migration is one input to a place’s political change, not its cause — a shift can also come from residents changing their minds, generational turnover, or turnout. These figures describe the places people moved between; they do not measure how any mover voted.
| Year | Net domestic migration |
|---|---|
| 2011 | −274 |
| 2012 | −746 |
| 2013 | −506 |
| 2014 | −297 |
| 2015 | −196 |
| 2016 | −414 |
| 2017 | −387 |
| 2018 | −140 |
| 2019 | −281 |
| 2021 | −45 |
| 2022 | +156 |
| 2023 | +108 |
| 2024 | +75 |
| 2025 | −13 |
Tuscola County, anchored by agriculture and small manufacturing in the Thumb region, delivered a 43-point Republican margin in 2024—among the widest gaps in a state defined by its competitive statewide contests.
Across the recorded series it reached a Democratic high of 11.0 points in 1964 and a Republican high of 69.3 points in 1928. Between 2020 and 2024 the county moved 3.6 points toward the Republican candidate; the 2024 margin was 43.0 points.
A population of 52,980, a 92% non-Hispanic-white share, and a median household income of $63,811 describe the county. The county's voting pattern over the last decade is most similar to that of Sanilac County and St. Clair County.
The counties whose fingerprint — 2000–2024 trajectory, demographics, ancestry, religion — sits closest to this one, and why.
Twin score (0–100) = weighted cosine between tier-standardized fingerprints: presidential margins 2000–2024 with 12-yr trend and elasticity, ACS income, age, education, population and race, top reported ancestries, and religious adherence — chips name the closest-shared dimensions and the widest gap. Re-weight the groups in the twins explorer.
Browse places by community — income, education, race & ethnicity, language — all community cuts →
Compare two places, side by side
Twelve curated comparisons line up election history, demographics, and the divergence story for two places at a glance. Browse all comparisons →
Tuscola County, Michigan. Akashic. https://akashic.app/county/26157/. Accessed May 20, 2026. License: CC BY 4.0.