DeKalb County, Illinois
Precinct data
Results by precinct
153 precincts · 47,842 votes
Precinct boundaries and identifiers are cycle-specific. This table does not join rows across years without a validated crosswalk.
| Precinct -SOMONAUKSOMONAUK | 368 | 723 | 27 | 1,118 | 32.9% | 64.7% | R+31.8 |
|---|---|---|---|---|---|---|---|
| Precinct -KINGSTON 1KINGSTON 1 | 344 | 718 | 26 | 1,088 | 31.6% | 66.0% | R+34.4 |
| Precinct -CORTLAND 03CORTLAND 03 | 468 | 543 | 28 | 1,039 | 45.0% | 52.3% | R+7.2 |
| Precinct -CLINTONCLINTON | 376 | 602 | 45 | 1,023 | 36.8% | 58.8% | R+22.1 |
| Precinct -KINGSTON 2KINGSTON 2 | 378 | 597 | 26 | 1,001 | 37.8% | 59.6% | R+21.9 |
| Precinct -SYCAMORE 08SYCAMORE 08 | 519 | 451 | 25 | 995 | 52.2% | 45.3% | D+6.8 |
| Precinct -GENOA 1GENOA 1 | 335 | 629 | 26 | 990 | 33.8% | 63.5% | R+29.7 |
| Precinct -SYCAMORE 09SYCAMORE 09 | 468 | 470 | 32 | 970 | 48.2% | 48.5% | R+0.2 |
| Precinct -SYCAMORE 07SYCAMORE 07 | 419 | 490 | 35 | 944 | 44.4% | 51.9% | R+7.5 |
| Precinct -DEKALB 11DEKALB 11 | 602 | 288 | 44 | 934 | 64.5% | 30.8% | D+33.6 |
| Precinct -DEKALB 08DEKALB 08 | 522 | 369 | 29 | 920 | 56.7% | 40.1% | D+16.6 |
| Precinct -SYCAMORE 06SYCAMORE 06 | 541 | 352 | 26 | 919 | 58.9% | 38.3% | D+20.6 |
| Precinct -CORTLAND 08CORTLAND 08 | 486 | 396 | 35 | 917 | 53.0% | 43.2% | D+9.8 |
| Precinct -SANDWICH 2SANDWICH 2 | 323 | 560 | 19 | 902 | 35.8% | 62.1% | R+26.3 |
| Precinct -SYCAMORE 10SYCAMORE 10 | 401 | 470 | 29 | 900 | 44.6% | 52.2% | R+7.7 |
| Precinct -DEKALB 13DEKALB 13 | 518 | 330 | 25 | 873 | 59.3% | 37.8% | D+21.5 |
| Precinct -CORTLAND 01CORTLAND 01 | 411 | 437 | 19 | 867 | 47.4% | 50.4% | R+3.0 |
| Precinct -GENOA 2GENOA 2 | 332 | 505 | 21 | 858 | 38.7% | 58.9% | R+20.2 |
| Precinct -DEKALB 02DEKALB 02 | 697 | 128 | 20 | 845 | 82.5% | 15.1% | D+67.3 |
| Precinct -SQUAW GROVE 1SQUAW GROVE 1 | 291 | 518 | 16 | 825 | 35.3% | 62.8% | R+27.5 |
| Precinct -SANDWICH 5SANDWICH 5 | 288 | 505 | 25 | 818 | 35.2% | 61.7% | R+26.5 |
| Precinct -CORTLAND 09CORTLAND 09 | 390 | 400 | 24 | 814 | 47.9% | 49.1% | R+1.2 |
| Precinct -GENOA 3GENOA 3 | 289 | 491 | 25 | 805 | 35.9% | 61.0% | R+25.1 |
| Precinct -FRANKLIN 2FRANKLIN 2 | 277 | 504 | 19 | 800 | 34.6% | 63.0% | R+28.4 |
| Precinct -DEKALB 06DEKALB 06 | 481 | 290 | 23 | 794 | 60.6% | 36.5% | D+24.1 |
| Precinct -MALTAMALTA | 276 | 477 | 31 | 784 | 35.2% | 60.8% | R+25.6 |
| Precinct -SYCAMORE 03SYCAMORE 03 | 343 | 401 | 20 | 764 | 44.9% | 52.5% | R+7.6 |
| Precinct -SYCAMORE 02SYCAMORE 02 | 368 | 362 | 23 | 753 | 48.9% | 48.1% | D+0.8 |
| Precinct -DEKALB 17DEKALB 17 | 435 | 283 | 28 | 746 | 58.3% | 37.9% | D+20.4 |
| Precinct -SHABBONASHABBONA | 210 | 506 | 21 | 737 | 28.5% | 68.7% | R+40.2 |
| Precinct -CORTLAND 02CORTLAND 02 | 426 | 282 | 28 | 736 | 57.9% | 38.3% | D+19.6 |
| Precinct -SQUAW GROVE 2SQUAW GROVE 2 | 254 | 468 | 14 | 736 | 34.5% | 63.6% | R+29.1 |
| Precinct -DEKALB 03DEKALB 03 | 479 | 220 | 23 | 722 | 66.3% | 30.5% | D+35.9 |
| Precinct -DEKALB 12DEKALB 12 | 401 | 289 | 21 | 711 | 56.4% | 40.6% | D+15.8 |
| Precinct -DEKALB 09DEKALB 09 | 456 | 224 | 28 | 708 | 64.4% | 31.6% | D+32.8 |
| Precinct -SANDWICH 4SANDWICH 4 | 278 | 405 | 19 | 702 | 39.6% | 57.7% | R+18.1 |
| Precinct -DEKALB 19DEKALB 19 | 443 | 226 | 29 | 698 | 63.5% | 32.4% | D+31.1 |
| Precinct -SANDWICH 3SANDWICH 3 | 307 | 364 | 16 | 687 | 44.7% | 53.0% | R+8.3 |
| Precinct -DEKALB 01DEKALB 01 | 498 | 158 | 23 | 679 | 73.3% | 23.3% | D+50.1 |
| Precinct -DEKALB 04DEKALB 04 | 551 | 97 | 24 | 672 | 82.0% | 14.4% | D+67.6 |
| Precinct -SANDWICH 1SANDWICH 1 | 249 | 388 | 19 | 656 | 38.0% | 59.1% | R+21.2 |
| Precinct -DEKALB 16DEKALB 16 | 397 | 219 | 26 | 642 | 61.8% | 34.1% | D+27.7 |
| Precinct -DEKALB 22DEKALB 22 | 486 | 139 | 8 | 633 | 76.8% | 22.0% | D+54.8 |
| Precinct -DEKALB 24DEKALB 24 | 385 | 204 | 24 | 613 | 62.8% | 33.3% | D+29.5 |
| Precinct -SYCAMORE 11SYCAMORE 11 | 280 | 307 | 24 | 611 | 45.8% | 50.2% | R+4.4 |
| Precinct -CORTLAND 06CORTLAND 06 | 293 | 287 | 16 | 596 | 49.2% | 48.2% | D+1.0 |
| Precinct -DEKALB 07DEKALB 07 | 310 | 257 | 23 | 590 | 52.5% | 43.6% | D+9.0 |
| Precinct -DEKALB 15DEKALB 15 | 392 | 177 | 11 | 580 | 67.6% | 30.5% | D+37.1 |
| Precinct -DEKALB 18DEKALB 18 | 363 | 190 | 22 | 575 | 63.1% | 33.0% | D+30.1 |
| Precinct -DEKALB 10DEKALB 10 | 391 | 158 | 20 | 569 | 68.7% | 27.8% | D+40.9 |
| Precinct -DEKALB 23DEKALB 23 | 352 | 176 | 36 | 564 | 62.4% | 31.2% | D+31.2 |
| Precinct -DEKALB 20DEKALB 20 | 320 | 230 | 9 | 559 | 57.2% | 41.1% | D+16.1 |
| Precinct -AFTONAFTON | 272 | 274 | 12 | 558 | 48.7% | 49.1% | R+0.4 |
| Precinct -SYCAMORE 05SYCAMORE 05 | 316 | 213 | 20 | 549 | 57.6% | 38.8% | D+18.8 |
| Precinct -DEKALB 21DEKALB 21 | 332 | 178 | 19 | 529 | 62.8% | 33.6% | D+29.1 |
| Precinct -MAYFIELDMAYFIELD | 200 | 308 | 19 | 527 | 38.0% | 58.4% | R+20.5 |
| Precinct -CORTLAND 07CORTLAND 07 | 183 | 321 | 20 | 524 | 34.9% | 61.3% | R+26.3 |
| Precinct -DEKALB 14DEKALB 14 | 301 | 196 | 17 | 514 | 58.6% | 38.1% | D+20.4 |
| Precinct -SYCAMORE 04SYCAMORE 04 | 267 | 208 | 25 | 500 | 53.4% | 41.6% | D+11.8 |
| Precinct -DEKALB 05DEKALB 05 | 340 | 122 | 16 | 478 | 71.1% | 25.5% | D+45.6 |
| Precinct -SYCAMORE 01SYCAMORE 01 | 236 | 195 | 8 | 439 | 53.8% | 44.4% | D+9.3 |
| Precinct -CORTLAND 04CORTLAND 04 | 217 | 185 | 10 | 412 | 52.7% | 44.9% | D+7.8 |
| Precinct -FRANKLIN 1FRANKLIN 1 | 135 | 262 | 10 | 407 | 33.2% | 64.4% | R+31.2 |
| Precinct -CORTLAND 05CORTLAND 05 | 136 | 173 | 12 | 321 | 42.4% | 53.9% | R+11.5 |
| Precinct -PIERCEPIERCE | 65 | 208 | 11 | 284 | 22.9% | 73.2% | R+50.4 |
| Precinct -SOUTH GROVESOUTH GROVE | 65 | 197 | 10 | 272 | 23.9% | 72.4% | R+48.5 |
| Precinct -MILANMILAN | 36 | 148 | 3 | 187 | 19.3% | 79.1% | R+59.9 |
| Precinct -PAW PAWPAW PAW | 43 | 132 | 8 | 183 | 23.5% | 72.1% | R+48.6 |
| Precinct -VICTORVICTOR | 37 | 136 | 3 | 176 | 21.0% | 77.3% | R+56.3 |
| AFTON 1 Voting District17_17037AF01 | 0 | 0 | 0 | 0 | — | — | Even |
| CLINTON 1 Voting District17_17037CL01 | 0 | 0 | 0 | 0 | — | — | Even |
| CLINTON 2 Voting District17_17037CL02 | 0 | 0 | 0 | 0 | — | — | Even |
| CORTLAND 1 Voting District17_17037CO01 | 0 | 0 | 0 | 0 | — | — | Even |
| CORTLAND 2 Voting District17_17037CO02 | 0 | 0 | 0 | 0 | — | — | Even |
| CORTLAND 3 Voting District17_17037CO03 | 0 | 0 | 0 | 0 | — | — | Even |
| CORTLAND 4 Voting District17_17037CO04 | 0 | 0 | 0 | 0 | — | — | Even |
| CORTLAND 5 Voting District17_17037CO05 | 0 | 0 | 0 | 0 | — | — | Even |
| CORTLAND 6 Voting District17_17037CO06 | 0 | 0 | 0 | 0 | — | — | Even |
| CORTLAND 7 Voting District17_17037CO07 | 0 | 0 | 0 | 0 | — | — | Even |
| CORTLAND 8 Voting District17_17037CO08 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 1 Voting District17_17037DK01 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 10 Voting District17_17037DK10 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 11 Voting District17_17037DK11 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 12 Voting District17_17037DK12 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 13 Voting District17_17037DK13 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 14 Voting District17_17037DK14 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 15 Voting District17_17037DK15 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 16 Voting District17_17037DK16 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 17 Voting District17_17037DK17 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 18 Voting District17_17037DK18 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 19 Voting District17_17037DK19 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 2 Voting District17_17037DK02 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 20 Voting District17_17037DK20 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 21 Voting District17_17037DK21 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 22 Voting District17_17037DK22 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 23 Voting District17_17037DK23 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 24 Voting District17_17037DK24 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 25 Voting District17_17037DK25 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 26 Voting District17_17037DK26 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 27 Voting District17_17037DK27 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 28 Voting District17_17037DK28 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 29 Voting District17_17037DK29 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 3 Voting District17_17037DK03 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 30 Voting District17_17037DK30 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 31 Voting District17_17037DK31 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 32 Voting District17_17037DK32 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 33 Voting District17_17037DK33 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 34 Voting District17_17037DK34 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 35 Voting District17_17037DK35 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 36 Voting District17_17037DK36 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 4 Voting District17_17037DK04 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 5 Voting District17_17037DK05 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 6 Voting District17_17037DK06 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 7 Voting District17_17037DK07 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 8 Voting District17_17037DK08 | 0 | 0 | 0 | 0 | — | — | Even |
| DEKALB 9 Voting District17_17037DK09 | 0 | 0 | 0 | 0 | — | — | Even |
| FRANKLIN 1 Voting District17_17037FR01 | 0 | 0 | 0 | 0 | — | — | Even |
| FRANKLIN 2 Voting District17_17037FR02 | 0 | 0 | 0 | 0 | — | — | Even |
| GENOA 1 Voting District17_17037GE01 | 0 | 0 | 0 | 0 | — | — | Even |
| GENOA 2 Voting District17_17037GE02 | 0 | 0 | 0 | 0 | — | — | Even |
| GENOA 3 Voting District17_17037GE03 | 0 | 0 | 0 | 0 | — | — | Even |
| GENOA 4 Voting District17_17037GE04 | 0 | 0 | 0 | 0 | — | — | Even |
| KINGSTON 1 Voting District17_17037KI01 | 0 | 0 | 0 | 0 | — | — | Even |
| KINGSTON 2 Voting District17_17037KI02 | 0 | 0 | 0 | 0 | — | — | Even |
| MALTA 1 Voting District17_17037MA01 | 0 | 0 | 0 | 0 | — | — | Even |
| MALTA 2 Voting District17_17037MA02 | 0 | 0 | 0 | 0 | — | — | Even |
| MAYFIELD 1 Voting District17_17037MF01 | 0 | 0 | 0 | 0 | — | — | Even |
| MILAN 1 Voting District17_17037MI01 | 0 | 0 | 0 | 0 | — | — | Even |
| PAW PAW 1 Voting District17_17037PP01 | 0 | 0 | 0 | 0 | — | — | Even |
| PIERCE 1 Voting District17_17037PI01 | 0 | 0 | 0 | 0 | — | — | Even |
| SANDWICH 1 Voting District17_17037SA01 | 0 | 0 | 0 | 0 | — | — | Even |
| SANDWICH 2 Voting District17_17037SA02 | 0 | 0 | 0 | 0 | — | — | Even |
| SANDWICH 3 Voting District17_17037SA03 | 0 | 0 | 0 | 0 | — | — | Even |
| SANDWICH 4 Voting District17_17037SA04 | 0 | 0 | 0 | 0 | — | — | Even |
| SANDWICH 5 Voting District17_17037SA05 | 0 | 0 | 0 | 0 | — | — | Even |
| SHABBONA 1 Voting District17_17037SH01 | 0 | 0 | 0 | 0 | — | — | Even |
| SOMONAUK 1 Voting District17_17037SO01 | 0 | 0 | 0 | 0 | — | — | Even |
| SOMONAUK 2 Voting District17_17037SO02 | 0 | 0 | 0 | 0 | — | — | Even |
| SOUTH GROVE 1 Voting District17_17037SG01 | 0 | 0 | 0 | 0 | — | — | Even |
| SQUAW GROVE 1 Voting District17_17037SQ01 | 0 | 0 | 0 | 0 | — | — | Even |
| SQUAW GROVE 2 Voting District17_17037SQ02 | 0 | 0 | 0 | 0 | — | — | Even |
| SYCAMORE 1 Voting District17_17037SY01 | 0 | 0 | 0 | 0 | — | — | Even |
| SYCAMORE 10 Voting District17_17037SY10 | 0 | 0 | 0 | 0 | — | — | Even |
| SYCAMORE 11 Voting District17_17037SY11 | 0 | 0 | 0 | 0 | — | — | Even |
| SYCAMORE 2 Voting District17_17037SY02 | 0 | 0 | 0 | 0 | — | — | Even |
| SYCAMORE 3 Voting District17_17037SY03 | 0 | 0 | 0 | 0 | — | — | Even |
| SYCAMORE 4 Voting District17_17037SY04 | 0 | 0 | 0 | 0 | — | — | Even |
| SYCAMORE 5 Voting District17_17037SY05 | 0 | 0 | 0 | 0 | — | — | Even |
| SYCAMORE 6 Voting District17_17037SY06 | 0 | 0 | 0 | 0 | — | — | Even |
| SYCAMORE 7 Voting District17_17037SY07 | 0 | 0 | 0 | 0 | — | — | Even |
| SYCAMORE 8 Voting District17_17037SY08 | 0 | 0 | 0 | 0 | — | — | Even |
| SYCAMORE 9 Voting District17_17037SY09 | 0 | 0 | 0 | 0 | — | — | Even |
| VICTOR 1 Voting District17_17037VI01 | 0 | 0 | 0 | 0 | — | — | Even |
Presidential margin, 1892–2024
Democratic minus Republican, by election
| Year | Margin (D minus R) |
|---|---|
| 1892 | −29.9% |
| 1896 | −48.1% |
| 1900 | −49.8% |
| 1904 | −62.7% |
| 1908 | −51.1% |
| 1912 | −2.8% |
| 1916 | −46.6% |
| 1920 | −70.2% |
| 1924 | −65.2% |
| 1928 | −48.8% |
| 1932 | −14.7% |
| 1936 | −10.5% |
| 1940 | −28.4% |
| 1944 | −33.8% |
| 1948 | −38.0% |
| 1952 | −48.6% |
| 1956 | −51.4% |
| 1960 | −39.3% |
| 1964 | −7.0% |
| 1968 | −32.9% |
| 1972 | −20.8% |
| 1976 | −21.7% |
| 1980 | −24.6% |
| 1984 | −29.7% |
| 1988 | −18.4% |
| 1992 | +3.2% |
| 1996 | +1.2% |
| 2000 | −7.0% |
| 2004 | −4.5% |
| 2008 | +16.8% |
| 2012 | +5.5% |
| 2016 | +3.2% |
| 2020 | +5.7% |
| 2024 | +2.0% |
U.S. Senate
| Year | Won | Democratic | Republican | Total |
|---|---|---|---|---|
| 2022 | D | 51.3%17,688 | 46.6%16,063 | 34,498 |
| 2020 | D | 49.3%23,423 | 44.6%21,198 | 47,476 |
Registered voters
Total registered voters, over time
| Year | Total registered |
|---|---|
| 2016 | 102,160 |
| 2018 | 67,251 |
| 2020 | 69,340 |
| 2022 | 61,517 |
| 2024 | 72,601 |
Who moves in and out
Net migration over time, and who arrivals are — where they came from and what those places vote
+859 net domestic migration · 2025
Net −7,219 over 2011–2025 · gain loss
Arrivals reported $53,972 in average income, against $80,008 for residents who stayed — 33% lower. (IRS SOI, 2022–23)
The places arrivals came from lean D+10.2 on average — 8.2 points more Democratic-leaning than DeKalb County, IL itself (D+2.0).
Where arrivals came from lean of each source
- Kane County, IL621D+9.3
- Cook County, IL466D+41.6
- DuPage County, IL256D+13.1
- Kendall County, IL208D+1.5
- LaSalle County, IL114R+18.5
- Winnebago County, IL112D+0.6
Where departures went households, 2022–23
- Cook County, IL399
- Kane County, IL387
- DuPage County, IL193
- Kendall County, IL144
- Winnebago County, IL144
- Ogle County, IL137
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 | −1,448 |
| 2012 | −833 |
| 2013 | −867 |
| 2014 | −321 |
| 2015 | −1,119 |
| 2016 | −797 |
| 2017 | −419 |
| 2018 | −553 |
| 2019 | −26 |
| 2021 | +418 |
| 2022 | −1,549 |
| 2023 | −513 |
| 2024 | −51 |
| 2025 | +859 |
Home to Northern Illinois University, DeKalb County shifted from reliably Republican to a near-even split over the past two decades, with the 2024 presidential race decided by roughly 2 points — a margin driven largely by turnout patterns around Dekalb's student and exurban populations.
Across the recorded series it reached a Democratic high of 16.8 points in 2008 and a Republican high of 70.2 points in 1920. Between 2020 and 2024 the county moved 3.7 points toward the Republican candidate; the 2024 margin was 2.0 points.
A population of 100,703, a 71% non-Hispanic-white share, and a median household income of $70,724 describe the county. The county's voting pattern over the last decade is most similar to that of St. Joseph County and Winnebago 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 →
DeKalb County, Illinois. Akashic. https://akashic.app/county/17037/. Accessed May 20, 2026. License: CC BY 4.0.