Is Limited English Proficiency a Barrier to Homeownership?

Nearly 5.3 million US heads of household have limited or no ability to speak English. The connections between race or ethnicity and homeownership have been documented, but there has been little work to explain the relationship between the ability to speak English and homeownership. As homeownership is a primary tool for wealth building and financial stability, it is useful to understand the challenges this population faces in accessing homeownership. This brief first defines and identifies the limited English proficient (LEP) population in the United States. Using descriptive analysis and regression models, we find that at the zip code level, higher rates of limited English proficiency are associated with lower homeownership rates. If we control for other factors that influence homeownership (e.g., income, age, and race or ethnicity), zip codes with the highest concentrations of LEP residents have homeownership rates 5 percentage points lower than zip codes with the median concentration of LEP residents. In other words, limited English proficiency is a barrier to homeownership

Rapid Fire Talks

Moderator: Tanvi Desai Presenters: Michael Lenczner: Overcoming policy barriers to administrative data sharing through an inclusive civil society coalition Christian Hirsch: The Role of the Bundesbank Microdata Production in Times of Big Data: The Need for Data Access, Data Sharing and for an Integrated Digital Information System Lars Vilhuber: Reproducible research in administrative data center Sarah Strochak: Is Limited English Proficiency a Barrier to Homeownership? Benoit Dostie: Immigrant Careers and Networks Brittany Borg: Program Evaluation Using Multiple Datasets Nikolas Pharris-Ciurej: Blended data: a novel opportunity to advance survey operations and knowledge of the US economy and population Aaron D. Schroeder: Complying with New Address Requirements for the 2020 Census: Using Open Administrative Records and Delivery Point Validation Data to Discover Verified Multi-Family Unit Addresses in Arlington County, Virginia Rachel Carnahan: Using Administrative Data to Reduce Respondent Burden in Facility Data Collectio

Rapid Fire Talks

Moderator: Tanvi Desai Presenters: Michael Lenczner: Overcoming policy barriers to administrative data sharing through an inclusive civil society coalition Christian Hirsch: The Role of the Bundesbank Microdata Production in Times of Big Data: The Need for Data Access, Data Sharing and for an Integrated Digital Information System Lars Vilhuber: Reproducible research in administrative data center Sarah Strochak: Is Limited English Proficiency a Barrier to Homeownership? Benoit Dostie: Immigrant Careers and Networks Brittany Borg: Program Evaluation Using Multiple Datasets Nikolas Pharris-Ciurej: Blended data: a novel opportunity to advance survey operations and knowledge of the US economy and population Aaron D. Schroeder: Complying with New Address Requirements for the 2020 Census: Using Open Administrative Records and Delivery Point Validation Data to Discover Verified Multi-Family Unit Addresses in Arlington County, Virginia Rachel Carnahan: Using Administrative Data to Reduce Respondent Burden in Facility Data Collectio