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Probability-based panel

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The National Centre for Social Research (NatCen) offers you the chance to place questions on Britain’s longest-running probability-based panel.

The NatCen Panel utilises a high-quality recruitment method that provides robust data from a representative sample at affordable prices, including under-represented groups and the offline population.

Whether you are evaluating a policy, conducting academic research, contributing to public debate, or lobbying for a cause, our Panel provides high quality data in a short timeframe.

Our probability-based approach to recruitment avoids in-built bias found in commercial online panels. It is inclusive of those unable to participate online and other under-represented groups which we are able to reach through intensive fieldwork effort.

Read some of our recent studies

How does it work?

  • Data is collected online and over the phone over a one-month period
  • Typical sample sizes of either 1,000 or 2,000 (up to 10,000)
  • Covers adults aged 18+ years across the UK, with regional and other boosts available
  • As little as two months from commissioning questions to receiving data

What do we offer?

  • Expert advice on how to design your survey to best answer your research questions
  • Clean and weighted data available in a variety of formats (e.g. Excel, SPSS, .csv etc.)
  • Additional outputs to meet your needs: from analysis tables and significance testing to complex multi-variate regressions analysis and segmentations; from slide-decks to detailed reports
  • Access to our analysis and policy experts

For more information

  • Talk to us

    Call 0207 549 9584


  • Developing the NatCen Panel

    This paper outlines the technical information on the NatCen Panel’s methodology and key metrics on sample quality.

    Download pdf

  • What makes the NatCen Panel unique?

    Running since 2015, the NatCen Panel is the first probability-based research panel in the UK that is open to be used for data collection by the social research community.

    Read more