Jennifer Unangst

Jennifer Unangst, a member of our social statistics team, has more than five years of experience conducting sample design and selection, statistical programming, data processing, weighting, and analysis for household and establishment surveys. She contributes to domestic and international projects in public health, social science, education, and other fields.

Ms. Unangst leads the establishment sampling task for O*NET, the Occupational Information Network, a survey of businesses that is used to update a public database describing the evolving job market in the United States. Beyond her project work, her research interests include sampling frame assessment and gridded population sampling methods.