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The Center for Survey Research released results of the January 2012 Jefferson Area Community Survey, showing Tim Kaine running well ahead of George Allen among registered voters in the region.

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On March 11 and 12, results were released from questions placed on the Jefferson Area Community Survey by local non-profit Charlottesville Tomorrow in cooperation with the Center for Survey Research.

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The Charlottesville Daily Progress reports on results from the Jefferson Area Community Survey of January 2012, finding that residents of the region are more optimistic about the economy than the nation as a whole.

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The first edition of our new, recurrent, omnibus survey of the Charlottesville-Albemarle region, the Jefferson Area Community Survey, launched in January 2012.   For results links and a one-page summary of the project and contact information, please click  ... Read More

The 2011 Dan River Region Social Capital Survey was conducted by CSR in the spring of 2011. This telephone survey included 1,140 randomly selected individuals living in the City of Danville, Pittsylvania County and Caswell County, NC. ... Read More


Please click the links below for more information about helping with the project and for the draft questionnaire.


In August 2011 the University of Virginia Center for Survey Research released the results of its recent telephone survey in the National ... Read More

A recent article in Science (22 July 2011) highlights the controversy about the National Science Board's attempt to separate knowledge from belief in how people respond to an NSF-funded biennial science literacy survey.  The NSB acted with advice from two scientific workshops. 

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The University of Virginia Center for Survey Research presented its findings on a University-wide survey of Academic Staff at a town hall meeting hosted by President Teresa Sullivan and Director of Human Resources Susan Carkeek. You can watch a ... Read More

CSR presented results of its recent methodological research at the annual AAPOR meetings in May 2011.  CSR is showing that survey costs can be lowered, without introducing serious error, if part of the telephone sample is drawn from telephone directories rather than being randomly dialed.

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