Richland County, Ohio
Precinct data
Results by precinct
185 precincts · 58,358 votes
Precinct boundaries and identifiers are cycle-specific. This table does not join rows across years without a validated crosswalk.
| Precinct -PRECINCT JEFF APRECINCT JEFF A | 242 | 942 | 9 | 1,193 | 20.3% | 79.0% | R+58.7 |
|---|---|---|---|---|---|---|---|
| Precinct -PRECINCT WORTH BPRECINCT WORTH B | 217 | 925 | 8 | 1,150 | 18.9% | 80.4% | R+61.6 |
| Precinct -PRECINCT MAN 1 - EPRECINCT MAN 1 - E | 400 | 710 | 10 | 1,120 | 35.7% | 63.4% | R+27.7 |
| Precinct -PRECINCT ONT 3 - APRECINCT ONT 3 - A | 345 | 692 | 3 | 1,040 | 33.2% | 66.5% | R+33.4 |
| Precinct -PRECINCT WELLERPRECINCT WELLER | 179 | 850 | 7 | 1,036 | 17.3% | 82.0% | R+64.8 |
| Precinct -PRECINCT LEX EPRECINCT LEX E | 304 | 723 | 7 | 1,034 | 29.4% | 69.9% | R+40.5 |
| Precinct -PRECINCT ONT 4 - APRECINCT ONT 4 - A | 281 | 739 | 7 | 1,027 | 27.4% | 72.0% | R+44.6 |
| Precinct -PRECINCT JEFF DPRECINCT JEFF D | 182 | 833 | 4 | 1,019 | 17.9% | 81.7% | R+63.9 |
| Precinct -PRECINCT MAN 1 - DPRECINCT MAN 1 - D | 379 | 633 | 7 | 1,019 | 37.2% | 62.1% | R+24.9 |
| Precinct -PRECINCT WASH FPRECINCT WASH F | 200 | 797 | 12 | 1,009 | 19.8% | 79.0% | R+59.2 |
| Precinct -PRECINCT SPFLD BPRECINCT SPFLD B | 221 | 754 | 6 | 981 | 22.5% | 76.9% | R+54.3 |
| Precinct -PRECINCT MAD EPRECINCT MAD E | 189 | 774 | 6 | 969 | 19.5% | 79.9% | R+60.4 |
| Precinct -PRECINCT TROY BPRECINCT TROY B | 224 | 725 | 7 | 956 | 23.4% | 75.8% | R+52.4 |
| Precinct -PRECINCT FRANKPRECINCT FRANK | 129 | 780 | 6 | 915 | 14.1% | 85.2% | R+71.1 |
| Precinct -PRECINCT MAD APRECINCT MAD A | 185 | 701 | 11 | 897 | 20.6% | 78.1% | R+57.5 |
| Precinct -PRECINCT PLYPRECINCT PLY | 171 | 710 | 6 | 887 | 19.3% | 80.0% | R+60.8 |
| Precinct -PRECINCT LEX CPRECINCT LEX C | 259 | 597 | 8 | 864 | 30.0% | 69.1% | R+39.1 |
| Precinct -PRECINCT MON BPRECINCT MON B | 175 | 680 | 3 | 858 | 20.4% | 79.3% | R+58.9 |
| Precinct -PRECINCT MAN 2 - EPRECINCT MAN 2 - E | 336 | 514 | 4 | 854 | 39.3% | 60.2% | R+20.8 |
| Precinct -PRECINCT MAD GPRECINCT MAD G | 163 | 686 | 4 | 853 | 19.1% | 80.4% | R+61.3 |
| Precinct -PRECINCT MAD IPRECINCT MAD I | 209 | 633 | 5 | 847 | 24.7% | 74.7% | R+50.1 |
| Precinct -PRECINCT MAN 2 - DPRECINCT MAN 2 - D | 341 | 495 | 5 | 841 | 40.5% | 58.9% | R+18.3 |
| Precinct -PRECINCT MON APRECINCT MON A | 126 | 704 | 10 | 840 | 15.0% | 83.8% | R+68.8 |
| Precinct -PRECINCT ONT 1 - APRECINCT ONT 1 - A | 290 | 543 | 6 | 839 | 34.6% | 64.7% | R+30.2 |
| Precinct -PRECINCT WASH CPRECINCT WASH C | 205 | 616 | 9 | 830 | 24.7% | 74.2% | R+49.5 |
| Precinct -PRECINCT MAN 2 - FPRECINCT MAN 2 - F | 338 | 454 | 12 | 804 | 42.0% | 56.5% | R+14.4 |
| Precinct -PRECINCT MIFF EPRECINCT MIFF E | 250 | 535 | 6 | 791 | 31.6% | 67.6% | R+36.0 |
| Precinct -PRECINCT ONT 2 - APRECINCT ONT 2 - A | 241 | 546 | 2 | 789 | 30.5% | 69.2% | R+38.7 |
| Precinct -PRECINCT MAN 1 - BPRECINCT MAN 1 - B | 220 | 552 | 9 | 781 | 28.2% | 70.7% | R+42.5 |
| Precinct -PRECINCT LEX BPRECINCT LEX B | 239 | 536 | 3 | 778 | 30.7% | 68.9% | R+38.2 |
| Precinct -PRECINCT MAN 3 - EPRECINCT MAN 3 - E | 336 | 425 | 5 | 766 | 43.9% | 55.5% | R+11.6 |
| Precinct -PRECINCT MIFF DPRECINCT MIFF D | 224 | 535 | 2 | 761 | 29.4% | 70.3% | R+40.9 |
| Precinct -PRECINCT MAN 6 - BPRECINCT MAN 6 - B | 262 | 486 | 10 | 758 | 34.6% | 64.1% | R+29.6 |
| Precinct -PRECINCT TROY APRECINCT TROY A | 200 | 542 | 7 | 749 | 26.7% | 72.4% | R+45.7 |
| Precinct -PRECINCT MAN 1 - APRECINCT MAN 1 - A | 252 | 493 | 2 | 747 | 33.7% | 66.0% | R+32.3 |
| Precinct -PRECINCT MAD OPRECINCT MAD O | 197 | 541 | 4 | 742 | 26.5% | 72.9% | R+46.4 |
| Precinct -PRECINCT MAD DPRECINCT MAD D | 158 | 575 | 5 | 738 | 21.4% | 77.9% | R+56.5 |
| Precinct -PRECINCT JACK BPRECINCT JACK B | 136 | 583 | 8 | 727 | 18.7% | 80.2% | R+61.5 |
| Precinct -PRECINCT MIFF BPRECINCT MIFF B | 151 | 567 | 7 | 725 | 20.8% | 78.2% | R+57.4 |
| Precinct -PRECINCT WASH BPRECINCT WASH B | 212 | 508 | 4 | 724 | 29.3% | 70.2% | R+40.9 |
| Precinct -PRECINCT JEFF CPRECINCT JEFF C | 126 | 587 | 5 | 718 | 17.5% | 81.8% | R+64.2 |
| Precinct -PRECINCT MAN 6 - EPRECINCT MAN 6 - E | 238 | 465 | 5 | 708 | 33.6% | 65.7% | R+32.1 |
| Precinct -PRECINCT WASH APRECINCT WASH A | 133 | 566 | 5 | 704 | 18.9% | 80.4% | R+61.5 |
| Precinct -PRECINCT PERRYPRECINCT PERRY | 115 | 581 | 4 | 700 | 16.4% | 83.0% | R+66.6 |
| Precinct -PRECINCT SPFLD CPRECINCT SPFLD C | 160 | 532 | 6 | 698 | 22.9% | 76.2% | R+53.3 |
| Precinct -PRECINCT MAN 3 - CPRECINCT MAN 3 - C | 303 | 373 | 10 | 686 | 44.2% | 54.4% | R+10.2 |
| Precinct -PRECINCT MAN 3 - DPRECINCT MAN 3 - D | 300 | 370 | 11 | 681 | 44.1% | 54.3% | R+10.3 |
| Precinct -PRECINCT WASH DPRECINCT WASH D | 147 | 513 | 8 | 668 | 22.0% | 76.8% | R+54.8 |
| Precinct -PRECINCT JACK APRECINCT JACK A | 135 | 518 | 7 | 660 | 20.5% | 78.5% | R+58.0 |
| Precinct -PRECINCT MAN 2 - APRECINCT MAN 2 - A | 288 | 364 | 2 | 654 | 44.0% | 55.7% | R+11.6 |
| Precinct -PRECINCT SHL 4 - APRECINCT SHL 4 - A | 175 | 465 | 3 | 643 | 27.2% | 72.3% | R+45.1 |
| Precinct -PRECINCT MAN 3 - BPRECINCT MAN 3 - B | 290 | 338 | 6 | 634 | 45.7% | 53.3% | R+7.6 |
| Precinct -PRECINCT SANDPRECINCT SAND | 144 | 455 | 4 | 603 | 23.9% | 75.5% | R+51.6 |
| Precinct -PRECINCT MIFF CPRECINCT MIFF C | 125 | 462 | 6 | 593 | 21.1% | 77.9% | R+56.8 |
| Precinct -PRECINCT SHL 4 - BPRECINCT SHL 4 - B | 158 | 425 | 4 | 587 | 26.9% | 72.4% | R+45.5 |
| Precinct -PRECINCT SHARONPRECINCT SHARON | 103 | 466 | 3 | 572 | 18.0% | 81.5% | R+63.5 |
| Precinct -PRECINCT SPFLD DPRECINCT SPFLD D | 184 | 379 | 8 | 571 | 32.2% | 66.4% | R+34.2 |
| Precinct -PRECINCT MAN 1 - FPRECINCT MAN 1 - F | 201 | 355 | 1 | 557 | 36.1% | 63.7% | R+27.6 |
| Precinct -PRECINCT SHL 3 - APRECINCT SHL 3 - A | 150 | 394 | 8 | 552 | 27.2% | 71.4% | R+44.2 |
| Precinct -PRECINCT MAN 2 - BPRECINCT MAN 2 - B | 220 | 327 | 3 | 550 | 40.0% | 59.5% | R+19.5 |
| Precinct -PRECINCT MIFF APRECINCT MIFF A | 120 | 424 | 5 | 549 | 21.9% | 77.2% | R+55.4 |
| Precinct -PRECINCT SHL 1 - BPRECINCT SHL 1 - B | 145 | 400 | 1 | 546 | 26.6% | 73.3% | R+46.7 |
| Precinct -PRECINCT MAN 1 - CPRECINCT MAN 1 - C | 214 | 323 | 5 | 542 | 39.5% | 59.6% | R+20.1 |
| Precinct -PRECINCT MAN 4 - APRECINCT MAN 4 - A | 133 | 408 | 0 | 541 | 24.6% | 75.4% | R+50.8 |
| Precinct -PRECINCT CASSPRECINCT CASS | 71 | 459 | 3 | 533 | 13.3% | 86.1% | R+72.8 |
| Precinct -PRECINCT SPFLD APRECINCT SPFLD A | 110 | 417 | 4 | 531 | 20.7% | 78.5% | R+57.8 |
| Precinct -PRECINCT SHL 2 - APRECINCT SHL 2 - A | 139 | 375 | 7 | 521 | 26.7% | 72.0% | R+45.3 |
| Precinct -PRECINCT SHL 2 - BPRECINCT SHL 2 - B | 132 | 382 | 6 | 520 | 25.4% | 73.5% | R+48.1 |
| Precinct -PRECINCT SHL 1 - APRECINCT SHL 1 - A | 117 | 363 | 6 | 486 | 24.1% | 74.7% | R+50.6 |
| Precinct -PRECINCT MAN 4 - EPRECINCT MAN 4 - E | 306 | 175 | 2 | 483 | 63.4% | 36.2% | D+27.1 |
| Precinct -PRECINCT WORTH APRECINCT WORTH A | 71 | 404 | 6 | 481 | 14.8% | 84.0% | R+69.2 |
| Precinct -PRECINCT MAN 4 - BPRECINCT MAN 4 - B | 232 | 244 | 4 | 480 | 48.3% | 50.8% | R+2.5 |
| Precinct -PRECINCT MAN 5 - APRECINCT MAN 5 - A | 157 | 304 | 3 | 464 | 33.8% | 65.5% | R+31.7 |
| Precinct -PRECINCT MAN 6 - DPRECINCT MAN 6 - D | 240 | 200 | 7 | 447 | 53.7% | 44.7% | D+8.9 |
| Precinct -PRECINCT MAN 4 - DPRECINCT MAN 4 - D | 191 | 214 | 8 | 413 | 46.2% | 51.8% | R+5.6 |
| Precinct -PRECINCT BLMGPRECINCT BLMG | 58 | 349 | 4 | 411 | 14.1% | 84.9% | R+70.8 |
| Precinct -PRECINCT MAN 3 - APRECINCT MAN 3 - A | 180 | 204 | 9 | 393 | 45.8% | 51.9% | R+6.1 |
| Precinct -PRECINCT SHL 3 - BPRECINCT SHL 3 - B | 85 | 282 | 4 | 371 | 22.9% | 76.0% | R+53.1 |
| Precinct -PRECINCT MAN 2 - CPRECINCT MAN 2 - C | 165 | 190 | 5 | 360 | 45.8% | 52.8% | R+6.9 |
| Precinct -PRECINCT MAN 4 - CPRECINCT MAN 4 - C | 238 | 112 | 4 | 354 | 67.2% | 31.6% | D+35.6 |
| Precinct -PRECINCT MAN 6 - APRECINCT MAN 6 - A | 201 | 136 | 4 | 341 | 58.9% | 39.9% | D+19.1 |
| Precinct -PRECINCT BUTLERPRECINCT BUTLER | 45 | 262 | 2 | 309 | 14.6% | 84.8% | R+70.2 |
| Precinct -PRECINCT MAN 5 - BPRECINCT MAN 5 - B | 178 | 102 | 5 | 285 | 62.5% | 35.8% | D+26.7 |
| BLOOMINGGROVE TOWNSHIP39_39139139ACH | 0 | 0 | 0 | 0 | — | — | Even |
| BUTLER TOWNSHIP39_39139139ACI | 0 | 0 | 0 | 0 | — | — | Even |
| CASS A39_39139139ACK | 0 | 0 | 0 | 0 | — | — | Even |
| FRANKLIN TOWNSHIP A39_39139139ACL | 0 | 0 | 0 | 0 | — | — | Even |
| JACKSON TOWNSHIP A39_39139139ACN | 0 | 0 | 0 | 0 | — | — | Even |
| JACKSON TOWNSHIP B39_39139139ACO | 0 | 0 | 0 | 0 | — | — | Even |
| JEFFERSON TOWNSHIP C39_39139139ACQ | 0 | 0 | 0 | 0 | — | — | Even |
| JEFFERSON TOWNSHIP D39_39139139ACR | 0 | 0 | 0 | 0 | — | — | Even |
| JEFFERSON TWP. A (BELLVI39_39139139ACS | 0 | 0 | 0 | 0 | — | — | Even |
| JEFFERSON TWP. B (BELLVI39_39139139ACT | 0 | 0 | 0 | 0 | — | — | Even |
| LEXINGTON VILLAGE B39_39139139AEI | 0 | 0 | 0 | 0 | — | — | Even |
| LEXINGTON VILLAGE C39_39139139AEJ | 0 | 0 | 0 | 0 | — | — | Even |
| LEXINGTON VILLAGE D39_39139139AEK | 0 | 0 | 0 | 0 | — | — | Even |
| LEXINGTON VILLAGE E39_39139139AEL | 0 | 0 | 0 | 0 | — | — | Even |
| MADISON TOWNSHIP A39_39139139ACU | 0 | 0 | 0 | 0 | — | — | Even |
| MADISON TOWNSHIP A-139_39139139ACV | 0 | 0 | 0 | 0 | — | — | Even |
| MADISON TOWNSHIP B39_39139139ACW | 0 | 0 | 0 | 0 | — | — | Even |
| MADISON TOWNSHIP D39_39139139ACY | 0 | 0 | 0 | 0 | — | — | Even |
| MADISON TOWNSHIP E39_39139139ACZ | 0 | 0 | 0 | 0 | — | — | Even |
| MADISON TOWNSHIP F39_39139139ADA | 0 | 0 | 0 | 0 | — | — | Even |
| MADISON TOWNSHIP G39_39139139ADB | 0 | 0 | 0 | 0 | — | — | Even |
| MADISON TOWNSHIP I39_39139139ADC | 0 | 0 | 0 | 0 | — | — | Even |
| MADISON TOWNSHIP J39_39139139ADD | 0 | 0 | 0 | 0 | — | — | Even |
| MADISON TOWNSHIP L39_39139139ADE | 0 | 0 | 0 | 0 | — | — | Even |
| MADISON TOWNSHIP O39_39139139ADG | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 1 PREC A39_39139139AAA | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 1 PREC D39_39139139AAD | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 1 PREC E39_39139139AAE | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 1 PREC F39_39139139AAF | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 1 PREC H39_39139139AAH | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 1 PREC J39_39139139AAI | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 1 PREC K39_39139139AAJ | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 1 PREC L39_39139139AEY | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 2 PREC A39_39139139AAK | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 2 PREC B39_39139139AAL | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 2 PREC D39_39139139AAN | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 2 PREC F39_39139139AAP | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 2 PREC G39_39139139AAQ | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 2 PREC H39_39139139AAR | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 2 PREC I39_39139139AAS | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 3 PREC D39_39139139AAW | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 3 PREC E39_39139139AAX | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 3 PREC F39_39139139AAY | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 3 PREC H39_39139139ABA | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 3 PREC I39_39139139ABB | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 3 PREC L39_39139139ABD | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 4 PREC A39_39139139ABF | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 4 PREC B39_39139139ABG | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 4 PREC C39_39139139ABH | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 4 PREC D39_39139139ABI | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 4 PREC E39_39139139ABJ | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 4 PREC G39_39139139ABL | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 5 PREC B39_39139139ABN | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 5 PREC C39_39139139ABO | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 5 PREC D39_39139139ABP | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 6 PREC A39_39139139ABQ | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 6 PREC B39_39139139ABR | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 6 PREC C39_39139139ABS | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 6 PREC D39_39139139ABT | 0 | 0 | 0 | 0 | — | — | Even |
| MANSFIELD WARD 6 PREC G39_39139139ABW | 0 | 0 | 0 | 0 | — | — | Even |
| MIFFLIN TOWNSHIP A39_39139139ADH | 0 | 0 | 0 | 0 | — | — | Even |
| MIFFLIN TOWNSHIP B39_39139139ADI | 0 | 0 | 0 | 0 | — | — | Even |
| MIFFLIN TOWNSHIP C39_39139139ADJ | 0 | 0 | 0 | 0 | — | — | Even |
| MIFFLIN TOWNSHIP D39_39139139ADK | 0 | 0 | 0 | 0 | — | — | Even |
| MIFFLIN TOWNSHIP E39_39139139ADL | 0 | 0 | 0 | 0 | — | — | Even |
| MIFFLIN TOWNSHIP F39_39139139ADM | 0 | 0 | 0 | 0 | — | — | Even |
| MONROE A39_39139139ADP | 0 | 0 | 0 | 0 | — | — | Even |
| MONROE TOWNSHIP B39_39139139ADN | 0 | 0 | 0 | 0 | — | — | Even |
| ONTARIO WARD 1 PREC A39_39139139AFB | 0 | 0 | 0 | 0 | — | — | Even |
| ONTARIO WARD 2 PREC A39_39139139AFD | 0 | 0 | 0 | 0 | — | — | Even |
| ONTARIO WARD 3 PREC A39_39139139AFF | 0 | 0 | 0 | 0 | — | — | Even |
| ONTARIO WARD 4 PREC A39_39139139AFH | 0 | 0 | 0 | 0 | — | — | Even |
| PERRY TOWNSHIP39_39139139ADQ | 0 | 0 | 0 | 0 | — | — | Even |
| PLYMOUTH TOWNSHIP B39_39139139ADR | 0 | 0 | 0 | 0 | — | — | Even |
| PLYMOUTH TWP. A (PLYMOUT39_39139139ADS | 0 | 0 | 0 | 0 | — | — | Even |
| SANDUSKY TOWNSHIP39_39139139ADT | 0 | 0 | 0 | 0 | — | — | Even |
| SHARON TOWNSHIP39_39139139ADU | 0 | 0 | 0 | 0 | — | — | Even |
| SHELBY WARD 1 PREC A39_39139139ABX | 0 | 0 | 0 | 0 | — | — | Even |
| SHELBY WARD 1 PREC B39_39139139ABY | 0 | 0 | 0 | 0 | — | — | Even |
| SHELBY WARD 2 PREC A39_39139139ACA | 0 | 0 | 0 | 0 | — | — | Even |
| SHELBY WARD 2 PREC B39_39139139ACB | 0 | 0 | 0 | 0 | — | — | Even |
| SHELBY WARD 3 PREC A39_39139139ACC | 0 | 0 | 0 | 0 | — | — | Even |
| SHELBY WARD 3 PREC B39_39139139ACD | 0 | 0 | 0 | 0 | — | — | Even |
| SHELBY WARD 4 PREC A39_39139139ACE | 0 | 0 | 0 | 0 | — | — | Even |
| SHELBY WARD 4 PREC B39_39139139ACF | 0 | 0 | 0 | 0 | — | — | Even |
| SPRINGFIELD TOWNSHIP A39_39139139ADV | 0 | 0 | 0 | 0 | — | — | Even |
| SPRINGFIELD TOWNSHIP B39_39139139ADW | 0 | 0 | 0 | 0 | — | — | Even |
| SPRINGFIELD TOWNSHIP C39_39139139ADX | 0 | 0 | 0 | 0 | — | — | Even |
| SPRINGFIELD TOWNSHIP D39_39139139ADY | 0 | 0 | 0 | 0 | — | — | Even |
| TROY TOWNSHIP A39_39139139AEF | 0 | 0 | 0 | 0 | — | — | Even |
| TROY TOWNSHIP B39_39139139AEG | 0 | 0 | 0 | 0 | — | — | Even |
| WASHINGTON TOWNSHIP A39_39139139AEM | 0 | 0 | 0 | 0 | — | — | Even |
| WASHINGTON TOWNSHIP B39_39139139AEN | 0 | 0 | 0 | 0 | — | — | Even |
| WASHINGTON TOWNSHIP C39_39139139AEO | 0 | 0 | 0 | 0 | — | — | Even |
| WASHINGTON TOWNSHIP D39_39139139AEP | 0 | 0 | 0 | 0 | — | — | Even |
| WASHINGTON TOWNSHIP E39_39139139AEQ | 0 | 0 | 0 | 0 | — | — | Even |
| WASHINGTON TOWNSHIP F39_39139139AER | 0 | 0 | 0 | 0 | — | — | Even |
| WASHINGTON TOWNSHIP H39_39139139AFA | 0 | 0 | 0 | 0 | — | — | Even |
| WELLER TOWNSHIP A39_39139139AET | 0 | 0 | 0 | 0 | — | — | Even |
| WORTHINGTON TWP. A (BUTL39_39139139AEW | 0 | 0 | 0 | 0 | — | — | Even |
| WORTHINGTON TWP. B39_39139139AEV | 0 | 0 | 0 | 0 | — | — | Even |
| WORTHINGTON TWP. C39_39139139AEX | 0 | 0 | 0 | 0 | — | — | Even |
Presidential margin, 1892–2024
Democratic minus Republican, by election
| Year | Margin (D minus R) |
|---|---|
| 1892 | +14.3% |
| 1896 | +10.0% |
| 1900 | +9.2% |
| 1904 | −1.6% |
| 1908 | +11.4% |
| 1912 | +26.3% |
| 1916 | +17.1% |
| 1920 | −7.7% |
| 1924 | −24.5% |
| 1928 | −43.1% |
| 1932 | +9.5% |
| 1936 | +27.0% |
| 1940 | +4.2% |
| 1944 | −7.9% |
| 1948 | −3.8% |
| 1952 | −27.2% |
| 1956 | −31.6% |
| 1960 | −16.3% |
| 1964 | +13.7% |
| 1968 | −19.4% |
| 1972 | −38.7% |
| 1976 | −2.5% |
| 1980 | −21.6% |
| 1984 | −37.0% |
| 1988 | −20.8% |
| 1992 | −6.9% |
| 1996 | −5.6% |
| 2000 | −18.1% |
| 2004 | −19.8% |
| 2008 | −13.6% |
| 2012 | −19.2% |
| 2016 | −36.5% |
| 2020 | −39.7% |
| 2024 | −42.3% |
U.S. Senate
Registered voters
Total registered voters, over time
| Year | Total registered |
|---|---|
| 2016 | 81,942 |
| 2018 | 83,033 |
| 2020 | 82,754 |
| 2022 | 81,561 |
| 2024 | 80,649 |
Who moves in and out
Net migration over time, and who arrivals are — where they came from and what those places vote
+24 net domestic migration · 2025
Net −1,881 over 2011–2025 · gain loss
Arrivals reported $47,555 in average income, against $65,547 for residents who stayed — 27% lower. (IRS SOI, 2022–23)
The places arrivals came from lean R+29.1 on average — 13 points more Democratic-leaning than Richland County, OH itself (R+42.3).
Where arrivals came from lean of each source
- Ashland County, OH307R+50.0
- Crawford County, OH280R+52.9
- Franklin County, OH259D+28.4
- Knox County, OH141R+44.9
- Huron County, OH128R+44.0
- Morrow County, OH110R+55.7
Where departures went households, 2022–23
- Ashland County, OH267
- Crawford County, OH255
- Franklin County, OH254
- Huron County, OH131
- Knox County, OH94
- Morrow County, OH91
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 | −1,097 |
| 2012 | −628 |
| 2013 | −356 |
| 2014 | −449 |
| 2015 | −280 |
| 2016 | −503 |
| 2017 | −620 |
| 2018 | +631 |
| 2019 | +240 |
| 2021 | +625 |
| 2022 | +342 |
| 2023 | +29 |
| 2024 | +161 |
| 2025 | +24 |
Richland County, anchored by Mansfield in north-central Ohio, has shifted steadily rightward over the past two decades; its 2024 presidential margin of R+42.3 reflects a broader rural consolidation that has reshaped statewide electoral math.
Across the recorded series it reached a Democratic high of 27.0 points in 1936 and a Republican high of 43.1 points in 1928. Between 2020 and 2024 the county moved 2.6 points toward the Republican candidate; the 2024 margin was 42.3 points.
A population of 125,099, a 84% non-Hispanic-white share, and a median household income of $59,509 describe the county. The county's voting pattern over the last decade is most similar to that of Muskingum County and Coshocton 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 →
Richland County, Ohio. Akashic. https://akashic.app/county/39139/. Accessed May 20, 2026. License: CC BY 4.0.