2022 general · November 8, 2022
2022 Michigan State Senate election results, district by district
Every Michigan State Senate district in the 2022 general election: winners, margins, unopposed seats and seats that changed party.
Seats after the election
Democrats controlled the chamber · 38 seats
After the electionD 20 · R 18
Races38
Changed party0
Unopposed0%0 races
Incumbents defeated1
Every district
D 20 · R 18
| Race | Winner | Won by | Notes |
|---|---|---|---|
| SD-1 | Erika Geiss (D) | 43.0 | |
| SD-2 | Sylvia Santana (D) | 38.4 | |
| SD-3 | Stephanie Chang (D) | 74.8 | |
| SD-4 | Darrin Camilleri (D) | 10.7 | |
| SD-5 | Dayna Polehanki (D) | 22.1 | |
| SD-6 | Mary Cavanagh (D) | 39.1 | |
| SD-7 | Jeremy Moss (D) | 48.4 | |
| SD-8 | Mallory McMorrow (D) | 57.8 | |
| SD-9 | Michael Webber (R) | 0.7 | |
| SD-10 | Paul Wojno (D) | 35.4 | |
| SD-11 | Veronica Klinefelt (D) | 5.4 | Incumbent lost |
| SD-12 | Kevin Hertel (D) | 3.4 | |
| SD-13 | Rosemary Bayer (D) | 14.3 | |
| SD-14 | Sue Shink (D) | 11.8 | |
| SD-15 | Jeff Irwin (D) | 48.2 | |
| SD-16 | Joe Bellino (R) | 29.0 | |
| SD-17 | Jonathan Lindsey (R) | 30.7 | |
| SD-18 | Thomas Albert (R) | 23.9 | |
| SD-19 | Sean McCann (D) | 19.5 | |
| SD-20 | Aric Nesbitt (R) | 21.9 | |
| SD-21 | Sarah Anthony (D) | 20.6 | |
| SD-22 | Lana Theis (R) | 24.0 | |
| SD-23 | Jim Runestad (R) | 18.7 | |
| SD-24 | Ruth Johnson (R) | 31.6 | |
| SD-25 | Dan Lauwers (R) | 33.6 | |
| SD-26 | Kevin Daley (R) | 24.8 | |
| SD-27 | John Cherry (D) | 28.2 | |
| SD-28 | Sam Singh (D) | 13.8 | |
| SD-29 | Winnie Brinks (D) | 20.6 | |
| SD-30 | Mark Huizenga (R) | 0.3 | |
| SD-31 | Roger Victory (R) | 26.4 | |
| SD-32 | Jon Bumstead (R) | 5.7 | |
| SD-33 | Rick Outman (R) | 34.9 | |
| SD-34 | Roger Hauck (R) | 31.1 | |
| SD-35 | Kristen McDonald Rivet (D) | 6.8 | |
| SD-36 | Michele Hoitenga (R) | 32.5 | |
| SD-37 | John Damoose (R) | 12.9 | |
| SD-38 | Ed McBroom (R) | 25.1 |
Michigan State Senate
Results are each source's final count; margins are the winner's lead over the runner-up in points of the vote. Source: Harvard Dataverse / Carl Klarner; MIT Election Data and Science Lab