South Dakota 1st District
Candidates
| Candidate | Party | Poll avg | Latest poll | Raised | Cash | Outside for / against |
|---|---|---|---|---|---|---|
| Marty Jackley | R | 59.6% (1) | 59.6% | — | — | — |
| Nikki Gronli | D | 31.8% (1) | 31.8% | — | — | — |
Unweighted mean of the latest general-election poll from each of 1 pollster since 2026-09-20.
Tracking the poll average daily since November 3, 2026; a chart appears after three days.
Polls 2 in the window
| Field dates | Pollster | Sample | Result | D − R |
|---|---|---|---|---|
| Oct 14 from Oct 12 | Mason-Dixon Polling & Research, Inc. for Chiesman Center for Democracy at the University of South Dakota | South Dakota News Watch | 500 LV | Marty Jackley R 59.6 · Nikki Gronli D 31.8 | -27.8 |
| Aug 30 from Aug 26 | Lake Research Partners D-sponsored | 500 LV | Marty Jackley R 47 · Nikki Gronli D 43 | -4.0 |
Money
No FEC committee matched the names in this race in the current snapshot.
Platform ad spend
Meta's Ad Library Report, Google's Ads Transparency Center and Snap's political-ads library. An advertiser is tied to a candidate only when its name carries the candidate's surname together with this state or the candidate's full name; outside groups that do not name a candidate appear in the state and district totals, not here.
No advertiser on either platform names a candidate in this race.
Meta in South Dakota: $125k Oct 25, 2026 - Oct 31, 2026 · Google in South Dakota: $4.3M lifetime · Snap targeted at South Dakota: $15k in 2026.
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Polls: PollResults.org (New York Times poll data), CC BY 4.0 (1,579 poll questions in the window). Money: FEC candidate totals and Schedule E independent-expenditure totals for the 2026 cycle. Platform ad spend: Meta Ad Library Report (U.S., 7-day preset, read from the report page), Google Ads Transparency Center CSV bundle and Snap political ads library, via Corvus Intel. Snapshot 2026-11-04 00:20 UTC, refreshed every six hours. No model wrote these figures, and no prediction-market price is used. Read how we work, or see the Politics desk for the analysis built on top of them. JSON.