The highest-quality, long-term polling data

Find out what the world really thinks, with reliable poll results for the questions that matter
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Polling data that shows how the world really feels

In an era of information overload and polarized opinions, accurate polling data provides a vital window into the true sentiments of people. By leveraging advanced sampling techniques and rigorous methodologies, our polling solution cuts through the noise to reveal genuine public attitudes on critical issues.

United States Polling

Every two weeks we poll 2,000-3,000 US adults in a representative sample of the US population to track voting intention, candidate favorability, voter motivation, voter likelihood, and vote flexibility.

United Kingdom Polling

Every month we poll ~2,000 UK adults in a representative sample of the UK population to track voting intention, government approval, and 13 long-term issues - everything from personal wellbeing to perceptions of AI.

Access all of our data

Access our comprehensive repository of polling data for the UK and US. Explore Prolific's full archive of public opinion data, featuring insights into political trends, societal views, and key issues over time. Whether you're conducting research or seeking in-depth analysis, our datasets provide an invaluable resource for understanding public sentiment across two of the world's most influential democracies.

Publications featuring Prolific

Read about companies leveraging Prolific polling

Focaldata / Prolific UK General Election MRP
Focaldata in partnership with Prolific published its MRP model of the 2024 UK General Election.
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Nuanced insights into nationwide voter sentiment
See how Prolific conducted 500 qualitative interviews in 72 hours.
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Authenticity’s fragile frontier in the AI era
We explored the ethical challenges of deepfakes, highlighting their potential to erode trust through scams and misinformation, while also acknowledging positive uses in education and health.
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Importance of human feedback
We emphasized the importance of human feedback in AI development to address bias and improve social reasoning.
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