Publicly Available Data

Social Vulnerability Index data is provided by the Center for Disease Control (CDC) and Agency for Toxic Substances and Disease Registry (ATSDR).

ATSDR’s Geospatial Research, Analysis, & Services Program (GRASP) created the Centers for Disease Control and Prevention and Agency for Toxic Substances and Disease Registry Social Vulnerability Index (hereafter, CDC/ATSDR SVI or SVI) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event.

 SVI indicates the relative vulnerability of every U.S. census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 16 social factors, such as unemployment, racial and ethnic minority status, and disability status. Then, SVI further groups the factors into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes as well as an overall ranking. – CDC/ATSDR

SVI data are available for all 50 states, Puerto Rico, and tribal tracts from 2000, 2010, 2014, 2016, 2018, 2020, 2022. To learn more about this dataset, visit the following links for an overview, the data dictionary, or view sample data.

Environment Justice Index data is provided by the Center for Disease Control (CDC) and Agency for Toxic Substances and Disease Registry (ATSDR).

The Environmental Justice Index (EJI) is the first national, place-based tool designed to measure the cumulative impacts of environmental burden through the lens of human health and health equity.

The EJI delivers a single score for each community so that public health officials can identify and map areas most at risk for the health impacts of environmental burden. Social factors such as poverty, race, and ethnicity, along with preexisting health conditions may increase these impacts. This tool helps public health officials prioritize action for those communities most at need.  – CDC/ATSDR

EJI data are available for all 50 states and Washington DC for 2022. To learn more about this dataset, visit the following links for an overview, the data dictionary, or view sample data.

Colorado EnviroScreen v1 data is provided by Colorado Department of Public Health and Environment (CDPHE) in collaboration with Colorado State University (CSU).

Colorado EnviroScreen is an environmental justice mapping tool that uses population and environmental factors to calculate an EnviroScreen Score. A higher EnviroScreen Score means the area is more likely to be affected by environmental inequities. The tool includes scores for each county, census tract, and census block group in Colorado. CDPHE will improve and update the tool in response to feedback and as new data becomes available. Please note that areas under Ute Mountain Ute and Southern Ute tribal jurisdictions are not currently represented on the map. Although EnviroScreen provides a robust measure of cumulative environmental burden, it is not a perfect tool. The tool uses limited environmental, health, and sociodemographic data to calculate the EnviroScreen Score. - CDPHE

Colorado EnviroScreen data are available for all 50 states for 2022. To learn more about this dataset, visit the following links for an overview, documentation, or view sample data.

Air Quality – Daily Particulate Matter (PM) 2.5 data is provided by the Center for Disease Control (CDC).

This dataset provides modeled predictions of PM2.5 levels from the EPA’s Downscaler model. These data are used by the CDC’s National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information. – CDC

Air Quality – Daily PM 2.5 data are recorded daily from 2001-2014 and 2016-2020. To learn more about this dataset, visit the following links for an overview, documentation for 2001-2014 data, documentation for 2016-2020 data, or a list of variables.