50.3 (%) in 2022.

Estimates are provided at three income levels: Low Income (up to 50 percent of the Area Median Income (AMI)); Moderate Income (greater than 50 percent AMI and up to 80 percent AMI), and Medium Income (greater than 80 percent AMI and up to 120 AMI). HUD is publishing the margin of error (MOE) data for all block groups and all places in the 2015 ACS LMISD. These data are provided within the LMISD tables. Under the 2010 ACS LMISD, HUD previously published a separate table with the MOE data only for those Places with MOEs of 20 percent or more.

The MOE does not provide an expanded range for compliance. For example, a service area of 50 percent LMI with a 2 percent MOE would still be just 50 percent LMI for compliance purposes. However, the 2 percent MOE would inform the grantee about the accuracy of the ACS data before undergoing the effort and cost of conducting a local income survey, which is the alternative to using the HUD-provided data.

Estimates are provided at three income levels: Low Income (up to 50 percent of the Area Median Income (AMI)); Moderate Income (greater than 50 percent AMI and up to 80 percent AMI), and Medium Income (greater than 80 percent AMI and up to 120 AMI). HUD is publishing the margin of error (MOE) data for all block groups and all places in the 2015 ACS LMISD. These data are provided within the LMISD tables. Under the 2010 ACS LMISD, HUD previously published a separate table with the MOE data only for those Places with MOEs of 20 percent or more.

The MOE does not provide an expanded range for compliance. For example, a service area of 50 percent LMI with a 2 percent MOE would still be just 50 percent LMI for compliance purposes. However, the 2 percent MOE would inform the grantee about the accuracy of the ACS data before undergoing the effort and cost of conducting a local income survey, which is the alternative to using the HUD-provided data.

56.7 (%) in 2022.

6 (%) in 2024. 12.2% (over 5.3 million) of adults with a mental illness remain uninsured. Under the Affordable Care Act (ACA), the US continues to see a decline in Americans who are uninsured. There was a 2.5% reduction from last year’s dataset. 46 states saw a reduction in Adults with AMI who are uninsured. The largest reductions were seen in South Carolina (7.1%), Missouri (6.3%), Arkansas (6.7%), Arizona (5.6%). The state prevalence of uninsured adults with mental illness ranges from 2.2% in Massachusetts to 23.0% in Texas.

50,0 (%) in 2023.

5 (%) in 2024. 12.2% (over 5.3 million) of adults with a mental illness remain uninsured. Under the Affordable Care Act (ACA), the US continues to see a decline in Americans who are uninsured. There was a 2.5% reduction from last year’s dataset. 46 states saw a reduction in Adults with AMI who are uninsured. The largest reductions were seen in South Carolina (7.1%), Missouri (6.3%), Arkansas (6.7%), Arizona (5.6%). The state prevalence of uninsured adults with mental illness ranges from 2.2% in Massachusetts to 23.0% in Texas.

13 (%) in 2022. 12.2% (over 5.3 million) of adults with a mental illness remain uninsured. Under the Affordable Care Act (ACA), the US continues to see a decline in Americans who are uninsured. There was a 2.5% reduction from last year’s dataset. 46 states saw a reduction in Adults with AMI who are uninsured. The largest reductions were seen in South Carolina (7.1%), Missouri (6.3%), Arkansas (6.7%), Arizona (5.6%). The state prevalence of uninsured adults with mental illness ranges from 2.2% in Massachusetts to 23.0% in Texas.

The dataset is based on magnetic resonance imaging (MRI) data collected as part of the MRiShare database. The anatomical and diffusion-weighted imaging data from those under 26 years of age from the MRiShare database were processed as described in the associated publication. The dataset contains regional white matter (WM) phenotypes based on JHU white matter label atlas as described in the paper and includes WM volume, mean DTI and NODDI metrics in each region defined in the JHU atlas. It also contains quality control (QC) metrics of the anatomical and diffusion-weighted imaging data.