Race & Ethnicity

This Issue Brief examines the composition of the population that is uninsured and highlights changes in uninsured rates by geography and demographic factors from 2019 to 2021, during a time of significant federal policy efforts to expand coverage.

In this brief, we highlight experiences and practices from substance use treatment providers and their human services partners when serving people of color. We selected providers that focused on serving people of color, and this study was not intended to assess outcomes or effectiveness of any of the practices highlighted.

Methodological Description

This brief presents estimates of the number and percentage of children whose parents engage in problematic substance use, including past-year substance use and SUD by substance type and child demographics. Key findings include:

Using a national Medicaid database, the report shows significant racial/ethnic disparities in mental health service use among children during the COVID-19 pandemic.

In recent years several researchers and child welfare agencies have begun developing predictive risk models to support child welfare decision-making. Predictive analytics is a sophisticated form of risk modeling that uses historical data to understand relationships between myriad factors to estimate a probability score for the outcome of interest.

This Data Point presents changes in HealthCare.gov enrollment by race and ethnicity from 2015-2022 using a validated imputation method for missing information on race and ethnicity.

This study updates ASPE’s previous analysis of the associations between COVID-19 hospitalizations and deaths among Medicare beneficiaries and COVID-19 vaccination rates, with full year data through the end of 2021.

This factsheet provides descriptive information on child care eligibility and receipt. Of the 12.5 million children potentially eligible for child care subsidies under federal rules, 16 percent received subsidies. Of the 8.7 million children eligible for child care subsidies under more restrictive state rules, 23 percent received subsidies.

This report provides current HHS projections of the number of individuals predicted to lose Medicaid coverage at the end of the COVID-19 public health emergency (PHE) due to a change in eligibility or due to administrative churning.