What do longitudinal panel studies say about individual voters switching away from Trump since inauguration compared with cross-sectional polls?

Checked on January 28, 2026
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Executive summary

Longitudinal panel studies — which re-interview the same people over time — show that the vast majority of individual voters who backed Donald Trump have remained with him since inauguration, with only a modest minority “switching away,” while cross-sectional polls often portray larger apparent movement because they measure different samples at different times and are sensitive to turnout and framing effects [1] 2024/" target="blank" rel="noopener noreferrer">[2]. Longitudinal research from the Democracy Fund Voter Study Group and academic analyses of election cohorts find pockets of regret (notably among “Obama-to-Trump” voters) and modest aggregate shifts in party identification, but confirm high individual-level persistence compared with the variability implied by snapshot polls [3] [4] 2020-presidential-election/54A7D26C371AC3CE26AD78D866695A17" target="_blank" rel="noopener noreferrer">[5].

1. Why longitudinal panels give a different story than cross‑sectional snapshots

Longitudinal panels follow the same respondents across waves, so they directly measure whether specific people abandon a candidate or party; Democracy Fund’s VOTER panel, for example, re-interviewed thousands who had answered in prior years and reported that most partisan opinions actually hardened rather than softened in the first two years after inauguration [1], a conclusion echoed in academic longitudinal analyses that focus on vote switching and turnout changes across the Trump presidency [5]. Cross-sectional polls — the kind grist for daily headlines — sample new respondents each day or month and therefore mix genuine opinion change with changes in who is responding, differential turnout, and short-term reactions to events; that explains why repeated snapshots can suggest larger, noisier swings than panels detect [2].

2. What the panels actually found about “switchers” away from Trump

Democracy Fund’s Voter Study Group reported that while some voter types moved noticeably — most prominently “Obama-to-Trump” voters, who registered the highest levels of regret and shifted their partisan ID substantially — the overall electorate showed only modest movement toward Republicans in aggregate and strong stability within partisan blocs [3] [4]. Pew and related panel-based work looking at the 2024 cycle find that 85 percent of Trump’s 2020 voters cast their ballots for him again in 2024, meaning actual individual vote-switching away from Trump was limited relative to the impression from many cross‑sectional snapshots [2]. Academic longitudinal work that traces turnout and vote choice across 2016–2020 likewise highlights that much of electoral change came from mobilization differences and new/returning voters, not mass defections among core supporters [5].

3. Who did change, and why panels matter for interpreting that change

Panels isolate subgroups that genuinely shifted: Democracy Fund research documents that Obama-to-Trump voters were more likely to regret their choice and to move toward the GOP or away from the Democratic label over time, a complex pattern that panels can parse because they track past and present identifiers [3] [4]. Panels also reveal that shifts sometimes reflect deeper realignment — e.g., long-term partisan reidentification among certain cohorts — rather than ephemeral disapproval spikes; without panels, cross-sectional polls risk conflating temporary discontent with durable switching [4] [5].

4. How cross‑sectional polls shape public perception and their limits

High-frequency cross-sectional polls — such as national approval snapshots reported in major outlets — can show approval downswings or recoveries (examples summarized in recent press pieces), but they do not directly tell whether those changes come from individual switching, turnout, or sampling differences [6] [7]. The Emerson and New York Times snapshots capture shifts in overall approval and attitude toward priorities [7] [6], yet by themselves they cannot substitute for panel analyses that demonstrate the degree to which the same voters defected, stayed loyal, or abstained [2].

5. Bottom line, caveats, and competing narratives

The best available panel work says individual-level defections from Trump since inauguration were limited: most of his prior voters stayed with him, while change concentrated in identifiable subgroups (notably Obama-to-Trump voters) and was amplified by turnout and mobilization dynamics rather than wholesale switching [3] [4] [2]. That conclusion sits alongside a competing narrative based on cross-sectional headlines about slippage in approval that can be true in aggregate terms but misleading if read as mass personal defections; readers should weigh the longitudinal evidence more heavily when the question is “did individuals switch” because panels directly answer that question [1] [5]. Reporting organizations have agendas too — panels backed or hosted by groups like the Democracy Fund Voter Study Group bring scholarly rigor but also particular framing choices — and the academic literature warns that both designs are useful but answer different questions [8] [5].

Want to dive deeper?
How many 2016 Trump voters reported regret in longitudinal surveys between 2017 and 2024?
What role did turnout (new, returning, and drop‑off voters) play in Trump’s 2024 victory according to Pew’s panel analyses?
How do longitudinal and cross‑sectional survey designs differ methodologically, and when should analysts prefer one over the other?