Public and Population Health
This post provides infographics that describe unaffordable rents data for the U.S. overall and for four geographically diverse states (Florida, Nevada, North Dakota, and Vermont) with varying levels of unaffordable rents.
Access to affordable and stable housing is a key driver of health. In this blog, SHADAC researchers explore and analyze the impact of unaffordable rent in the United States by state, disability status, income level, and more using SHADAC’s data tool, State Health Compare.
The COVID-19 pandemic underscored the importance of telehealth services and the crucial role of broadband internet subscriptions in making those services possible. In this blog, we look at variation in states’ progress on improving the share of households with home broadband internet services… Read more
We are developing workgroups for data professionals to connect, strategize, and share knowledge related to filling critical health data gaps. We want your input to inform and shape these workgroups: Join our virtual meeting on June 23rd to provide feedback and learn more.
SHADAC is pleased to announce that the ‘Minnesota Community and Uninsured Profile’ has been updated with 2024 American Community Survey estimates, thanks to the continued support from the Blue Cross and Blue Shield of Minnesota Foundation.
Increasingly high and unaffordable health care costs can lead to forgoing medical care, which can impact overall health. This blog explores rates of forgone care due to cost over time, by state, and by subgroup using SHADAC’s State Health Compare.
Accurate estimates of uninsured rates (the percentage of people that do not have insurance coverage, also referred to as uninsurance) are important in understanding trends and the impacts of actions, events, or shifts in the economic landscape that may affect health insurance coverage. Learn more… Read more
Federal developments in 2025 have led to concerns about the future of numerous data sources. This blog consolidates 22 examples of federal data preservation, tracking, and innovation efforts related to health data in a clear and organized table.
SHADAC researchers use MEPS-IC data to look at national and state-level employer-sponsored insurance (ESI) access, enrollment, and cost data in 2024 as compared to 2023.
In this blog, we use premature deaths data to understand public health trends. We also analyze variation in premature deaths across demographic subgroups.