Auglaize County, Ohio
Precinct data
Results by precinct
82 precincts · 25,623 votes
Precinct boundaries and identifiers are cycle-specific. This table does not join rows across years without a validated crosswalk.
| Precinct -MOULTONMOULTON | 157 | 905 | 10 | 1,072 | 14.6% | 84.4% | R+69.8 |
|---|---|---|---|---|---|---|---|
| Precinct -MINSTER-NMINSTER-N | 153 | 899 | 7 | 1,059 | 14.4% | 84.9% | R+70.4 |
| Precinct -DUCH-EDUCH-E | 148 | 841 | 6 | 995 | 14.9% | 84.5% | R+69.6 |
| Precinct -WAPAK-1AWAPAK-1A | 219 | 766 | 6 | 991 | 22.1% | 77.3% | R+55.2 |
| Precinct -SM-2BSM-2B | 188 | 651 | 9 | 848 | 22.2% | 76.8% | R+54.6 |
| Precinct -WAPAK-1BWAPAK-1B | 175 | 639 | 5 | 819 | 21.4% | 78.0% | R+56.7 |
| Precinct -SM-3ASM-3A | 151 | 660 | 5 | 816 | 18.5% | 80.9% | R+62.4 |
| Precinct -MINSTER-SMINSTER-S | 130 | 673 | 9 | 812 | 16.0% | 82.9% | R+66.9 |
| Precinct -WAPAK-4BWAPAK-4B | 176 | 607 | 1 | 784 | 22.4% | 77.4% | R+55.0 |
| Precinct -PUSHETAPUSHETA | 100 | 677 | 4 | 781 | 12.8% | 86.7% | R+73.9 |
| Precinct -DUCH-WDUCH-W | 160 | 594 | 5 | 759 | 21.1% | 78.3% | R+57.2 |
| Precinct -BREMAN-SBREMAN-S | 149 | 593 | 8 | 750 | 19.9% | 79.1% | R+59.2 |
| Precinct -NOBLENOBLE | 93 | 644 | 5 | 742 | 12.5% | 86.8% | R+74.3 |
| Precinct -ST MARYS-SST MARYS-S | 160 | 570 | 5 | 735 | 21.8% | 77.6% | R+55.8 |
| Precinct -SM-1ASM-1A | 137 | 592 | 4 | 733 | 18.7% | 80.8% | R+62.1 |
| Precinct -BREMAN-WBREMAN-W | 141 | 553 | 8 | 702 | 20.1% | 78.8% | R+58.7 |
| Precinct -UNION-WUNION-W | 87 | 585 | 5 | 677 | 12.9% | 86.4% | R+73.6 |
| Precinct -WASHINGTONWASHINGTON | 55 | 612 | 0 | 667 | 8.2% | 91.8% | R+83.5 |
| Precinct -ST MARYS-EST MARYS-E | 115 | 523 | 7 | 645 | 17.8% | 81.1% | R+63.3 |
| Precinct -SM-4ASM-4A | 136 | 473 | 9 | 618 | 22.0% | 76.5% | R+54.5 |
| Precinct -WAPAK-2BWAPAK-2B | 115 | 467 | 7 | 589 | 19.5% | 79.3% | R+59.8 |
| Precinct -LOGANLOGAN | 68 | 508 | 3 | 579 | 11.7% | 87.7% | R+76.0 |
| Precinct -ST MARYS-WST MARYS-W | 125 | 434 | 6 | 565 | 22.1% | 76.8% | R+54.7 |
| Precinct -CRIDER. -WCRIDER. -W | 121 | 433 | 5 | 559 | 21.6% | 77.5% | R+55.8 |
| Precinct -JACKSONJACKSON | 45 | 508 | 3 | 556 | 8.1% | 91.4% | R+83.3 |
| Precinct -KNOXVILLEKNOXVILLE | 74 | 449 | 5 | 528 | 14.0% | 85.0% | R+71.0 |
| Precinct -SM-2ASM-2A | 127 | 393 | 2 | 522 | 24.3% | 75.3% | R+51.0 |
| Precinct -GERMANGERMAN | 65 | 432 | 3 | 500 | 13.0% | 86.4% | R+73.4 |
| Precinct -WAPAK-3BWAPAK-3B | 89 | 374 | 4 | 467 | 19.1% | 80.1% | R+61.0 |
| Precinct -BREMAN-EBREMAN-E | 70 | 392 | 4 | 466 | 15.0% | 84.1% | R+69.1 |
| Precinct -WAYNEWAYNE | 43 | 416 | 2 | 461 | 9.3% | 90.2% | R+80.9 |
| Precinct -CLAYCLAY | 58 | 399 | 3 | 460 | 12.6% | 86.7% | R+74.1 |
| Precinct -WAPAK-2AWAPAK-2A | 112 | 339 | 4 | 455 | 24.6% | 74.5% | R+49.9 |
| Precinct -WAPAK-3AWAPAK-3A | 84 | 312 | 1 | 397 | 21.2% | 78.6% | R+57.4 |
| Precinct -SM-1BSM-1B | 78 | 314 | 4 | 396 | 19.7% | 79.3% | R+59.6 |
| Precinct -WAPAK-4AWAPAK-4A | 91 | 292 | 6 | 389 | 23.4% | 75.1% | R+51.7 |
| Precinct -UNION-EUNION-E | 60 | 324 | 4 | 388 | 15.5% | 83.5% | R+68.0 |
| Precinct -W'FIELDW'FIELD | 60 | 302 | 4 | 366 | 16.4% | 82.5% | R+66.1 |
| Precinct -CRIDER. -ECRIDER. -E | 55 | 267 | 0 | 322 | 17.1% | 82.9% | R+65.8 |
| Precinct -GOSHENGOSHEN | 30 | 246 | 2 | 278 | 10.8% | 88.5% | R+77.7 |
| Precinct -SALEMSALEM | 22 | 241 | 3 | 266 | 8.3% | 90.6% | R+82.3 |
| Precinct -BUCKLANDBUCKLAND | 20 | 89 | 0 | 109 | 18.3% | 81.7% | R+63.3 |
| BUCKLAND Voting District39_39011011ABB | 0 | 0 | 0 | 0 | — | — | Even |
| CLAY Voting District39_39011011AAO | 0 | 0 | 0 | 0 | — | — | Even |
| CRIDERSVILLE E Voting District39_39011011AAS | 0 | 0 | 0 | 0 | — | — | Even |
| CRIDERSVILLE W Voting District39_39011011ABR | 0 | 0 | 0 | 0 | — | — | Even |
| DUCHOUQUET E Voting District39_39011011AAP | 0 | 0 | 0 | 0 | — | — | Even |
| DUCHOUQUET W Voting District39_39011011AAR | 0 | 0 | 0 | 0 | — | — | Even |
| GERMAN Voting District39_39011011AAU | 0 | 0 | 0 | 0 | — | — | Even |
| GOSHEN Voting District39_39011011AAX | 0 | 0 | 0 | 0 | — | — | Even |
| JACKSON Voting District39_39011011AAY | 0 | 0 | 0 | 0 | — | — | Even |
| LOGAN Voting District39_39011011ABC | 0 | 0 | 0 | 0 | — | — | Even |
| MINSTER N Voting District39_39011011AAZ | 0 | 0 | 0 | 0 | — | — | Even |
| MINSTER S Voting District39_39011011ABA | 0 | 0 | 0 | 0 | — | — | Even |
| MOULTON Voting District39_39011011ABD | 0 | 0 | 0 | 0 | — | — | Even |
| NEW BREMEN E Voting District39_39011011AAV | 0 | 0 | 0 | 0 | — | — | Even |
| NEW BREMEN W Voting District39_39011011AAW | 0 | 0 | 0 | 0 | — | — | Even |
| NEW KNOXVILLE Voting District39_39011011ABN | 0 | 0 | 0 | 0 | — | — | Even |
| NOBLE Voting District39_39011011ABF | 0 | 0 | 0 | 0 | — | — | Even |
| PUSHETA Voting District39_39011011ABG | 0 | 0 | 0 | 0 | — | — | Even |
| SALEM Voting District39_39011011ABK | 0 | 0 | 0 | 0 | — | — | Even |
| ST. MARYS 1A Voting District39_39011011AAA | 0 | 0 | 0 | 0 | — | — | Even |
| ST. MARYS 1B Voting District39_39011011AAB | 0 | 0 | 0 | 0 | — | — | Even |
| ST. MARYS 2A Voting District39_39011011AAC | 0 | 0 | 0 | 0 | — | — | Even |
| ST. MARYS 2B Voting District39_39011011AAD | 0 | 0 | 0 | 0 | — | — | Even |
| ST. MARYS 3A Voting District39_39011011AAE | 0 | 0 | 0 | 0 | — | — | Even |
| ST. MARYS 4A Voting District39_39011011AAF | 0 | 0 | 0 | 0 | — | — | Even |
| ST. MARYS E Voting District39_39011011ABH | 0 | 0 | 0 | 0 | — | — | Even |
| ST. MARYS W Voting District39_39011011ABJ | 0 | 0 | 0 | 0 | — | — | Even |
| UNION Voting District39_39011011ABL | 0 | 0 | 0 | 0 | — | — | Even |
| UNIOPOLIS Voting District39_39011011ABM | 0 | 0 | 0 | 0 | — | — | Even |
| WAPAKONETA 1A Voting District39_39011011AAG | 0 | 0 | 0 | 0 | — | — | Even |
| WAPAKONETA 1B Voting District39_39011011AAH | 0 | 0 | 0 | 0 | — | — | Even |
| WAPAKONETA 2A Voting District39_39011011AAI | 0 | 0 | 0 | 0 | — | — | Even |
| WAPAKONETA 2B Voting District39_39011011AAJ | 0 | 0 | 0 | 0 | — | — | Even |
| WAPAKONETA 3A Voting District39_39011011AAK | 0 | 0 | 0 | 0 | — | — | Even |
| WAPAKONETA 3B Voting District39_39011011AAL | 0 | 0 | 0 | 0 | — | — | Even |
| WAPAKONETA 4A Voting District39_39011011AAM | 0 | 0 | 0 | 0 | — | — | Even |
| WAPAKONETA 4B Voting District39_39011011AAN | 0 | 0 | 0 | 0 | — | — | Even |
| WASHINGTON Voting District39_39011011ABO | 0 | 0 | 0 | 0 | — | — | Even |
| WAYNE Voting District39_39011011ABP | 0 | 0 | 0 | 0 | — | — | Even |
| WAYNESFIELD Voting District39_39011011ABQ | 0 | 0 | 0 | 0 | — | — | Even |
Presidential margin, 1892–2024
Democratic minus Republican, by election
| Year | Margin (D minus R) |
|---|---|
| 1892 | +26.5% |
| 1896 | +25.8% |
| 1900 | +24.6% |
| 1904 | +8.3% |
| 1908 | +20.8% |
| 1912 | +34.8% |
| 1916 | +19.0% |
| 1920 | −16.7% |
| 1924 | −14.6% |
| 1928 | −22.2% |
| 1932 | +22.7% |
| 1936 | +16.1% |
| 1940 | −22.2% |
| 1944 | −29.5% |
| 1948 | −9.2% |
| 1952 | −34.6% |
| 1956 | −44.1% |
| 1960 | −28.1% |
| 1964 | +4.1% |
| 1968 | −23.2% |
| 1972 | −42.7% |
| 1976 | −24.6% |
| 1980 | −36.9% |
| 1984 | −56.1% |
| 1988 | −47.7% |
| 1992 | −27.1% |
| 1996 | −17.9% |
| 2000 | −41.3% |
| 2004 | −48.2% |
| 2008 | −41.1% |
| 2012 | −48.0% |
| 2016 | −61.1% |
| 2020 | −62.6% |
| 2024 | −64.6% |
U.S. Senate
Registered voters
Total registered voters, over time
| Year | Total registered |
|---|---|
| 2016 | 31,666 |
| 2018 | 32,253 |
| 2020 | 32,489 |
| 2022 | 32,319 |
| 2024 | 32,887 |
Who moves in and out
Net migration over time, and who arrivals are — where they came from and what those places vote
−8 net domestic migration · 2025
Net −1,449 over 2011–2025 · gain loss
Arrivals reported $54,710 in average income, against $77,864 for residents who stayed — 30% lower. (IRS SOI, 2022–23)
The places arrivals came from lean R+49.1 on average — 15 points more Democratic-leaning than Auglaize County, OH itself (R+64.6).
Where arrivals came from lean of each source
- Allen County, OH251R+44.1
- Mercer County, OH150R+66.7
- Shelby County, OH130R+64.8
- Franklin County, OH42D+28.4
- Logan County, OH42R+56.2
- Darke County, OH31R+65.4
Where departures went households, 2022–23
- Allen County, OH252
- Mercer County, OH146
- Shelby County, OH132
- Franklin County, OH47
- Logan County, OH40
- Montgomery County, OH36
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 | −295 |
| 2012 | −60 |
| 2013 | −22 |
| 2014 | −132 |
| 2015 | −138 |
| 2016 | −50 |
| 2017 | −134 |
| 2018 | −111 |
| 2019 | −165 |
| 2021 | −162 |
| 2022 | −247 |
| 2023 | +120 |
| 2024 | −45 |
| 2025 | −8 |
Auglaize County, anchored by Wapakoneta and sustained by agriculture and manufacturing, delivered a 64.6-point Republican presidential margin in 2024—among the widest gaps of any Ohio county and a figure that has grown steadily over the past three election cycles.
Across the recorded series it reached a Democratic high of 34.8 points in 1912 and a Republican high of 64.6 points in 2024. Between 2020 and 2024 the county moved 1.9 points toward the Republican candidate; the 2024 margin was 64.6 points.
A population of 46,125, a 94% non-Hispanic-white share, and a median household income of $78,660 describe the county. The county's voting pattern over the last decade is most similar to that of Osage County and Shelby 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 →
Auglaize County, Ohio. Akashic. https://akashic.app/county/39011/. Accessed May 20, 2026. License: CC BY 4.0.