AP Syllabus focus:
‘Exit polls collect data on why people voted the way they did and help interpret election outcomes.’
Exit polls are a prominent election-night tool for understanding voter motivation. They describe who supported which candidates and why, helping the public, parties, and journalists interpret results beyond the raw vote totals.
What exit polls are and what they measure
Exit polls are surveys of voters conducted immediately after they have cast a ballot, designed to capture voter motivation while the decision is fresh and to connect choices to demographics and issue priorities.

Voters casting ballots at in-person voting booths. Exit polls are designed around this moment—right after a voter has voted—so responses about vote choice and stated motivation can be recorded while the decision is still fresh. Source
Exit poll: A survey of voters taken just after voting that asks how they voted and why, often including demographic traits and issue views.
Exit polls typically gather:
Vote choice (candidate/party selection)
Motivations (top issue, retrospective evaluations, candidate traits)
Group identities and demographics (age, race/ethnicity, gender, education, income, religion)
Partisanship and ideology (party identification, liberal/moderate/conservative)
Participation context (first-time voter, intensity/enthusiasm, sometimes method of voting)
How exit polls help interpret election outcomes
Explaining “why” a candidate won or lost
Because election results only show who won, exit polls help explain why the coalition formed:
Whether voters prioritised the economy, health care, immigration, foreign policy, or another issue
Whether voters were making retrospective judgments (rewarding/punishing the party in power)
Whether voters responded to candidate characteristics (competence, honesty, leadership style)
Identifying winning coalitions and swing groups
Exit polls help analysts connect outcomes to groups and cleavages:
Which demographic groups formed the candidate’s base
Which groups shifted compared with past elections (e.g., education or age groups moving toward/away from a party)
Which issues or identities best predicted vote choice within key groups
Detecting patterns across places and races
When paired with precinct-level returns, exit polls can suggest:
Whether turnout and preferences differed in urban/suburban/rural areas
Whether particular regions were driven by distinct issue priorities
How down-ballot results may relate to national attitudes (without assuming national results caused local outcomes)
Key outputs you should be able to read
Common exit poll reporting categories include:
“Most important issue” (issue salience)
Approval/disapproval of an incumbent president or major policy
Economic perceptions (personal finances vs national economy)
Ideology and party identification as predictors of vote choice
Cross-tabs (e.g., vote choice by gender, race, education)
When interpreting, distinguish:
Motivation (what voters say mattered most) from
Justification (how voters explain a choice after making it), which may not perfectly match what actually drove the decision.
Limits and cautions (without losing the main purpose)
Exit polls are informative, but they are not a complete “truth machine.” Common limitations that affect claims about voter motivation include:
Nonresponse bias: some voters decline, and refusal rates may differ across groups.
Coverage gaps: many voters cast ballots before Election Day or not in-person; including them requires alternative methods, and differences can complicate comparisons.
Question interpretation: terms like “moderate” or “most important issue” can be understood differently by different voters.
Timing and projection pressure: early exit poll estimates can be volatile; responsible use focuses on interpreting outcomes once results are known rather than “calling” races.
Using exit polls responsibly in arguments
High-quality use of exit polls ties claims directly to what the data can support:
Use exit polls to describe associations (e.g., voters prioritising an issue leaned toward a candidate), not to prove causation.
Prefer stable, broad patterns over tiny subgroup claims.
Treat exit polls as one source that contextualises election outcomes by revealing reported motivations and coalition structure.
FAQ
They may use telephone/online surveys of voters who report having voted, then combine them with in-person exit interviews.
Mode differences can affect comparability.
Voters may rationalise after choosing, pick from a limited list, or interpret issue labels differently.
It captures reported salience, not necessarily causal influence.
Exit polls measure self-reported motivations and demographics.
Precinct returns show aggregate vote totals; linking them requires careful inference.
They look for adequate subgroup size, consistency across sources, and whether results align with final counts.
Small cross-tabs are treated cautiously.
Only indirectly.
They can suggest patterns (e.g., enthusiasm or first-time voting), but separating persuasion from turnout typically needs additional data.
Practice Questions
(3 marks) Identify two ways exit polls help interpret election outcomes.
1 mark: Identifies one valid way (e.g., show why voters supported a candidate by issue priority; identify demographic coalitions).
1 mark: Identifies a second valid way.
1 mark: Briefly explains either point in context of interpreting outcomes (not predicting).
(6 marks) Explain how exit polls can be used to analyse voter motivation, and evaluate one limitation of using exit polls for this purpose.
1 mark: Explains that exit polls ask voters how they voted and why (issue salience/attitudes/demographics).
2 marks: Applies exit poll outputs to analysis of motivation (e.g., “most important issue,” approval measures, cross-tabs linking groups/issues to vote choice).
1 mark: Shows how this helps interpret the election outcome (coalitions/swing groups/retrospective judgement).
2 marks: Evaluates one limitation with explanation (e.g., nonresponse bias, difficulty covering early voters, question wording/interpretation, instability early in the count).
