Racial Disparities Dashboard

The Othering & Belonging Institute is pleased to present the thoroughly revised Racial Disparities Dashboard, and our expanding snapshot. A racial disparity is defined as a persistent difference in outcomes or performance between racial groups.^[1] An easily understood example is the racial wealth gap or the racial disparity in maternal mortality, noted below. 

This project is designed to be an open resource repository on racial disparities in American society that are important, vital, and measurable. We have nearly 80 different indicators with measured disparities between Black and white Americans in our table below. We have included almost every disparity that we could find which is nationally reported, for which there is recent and apparently reliable data. Over time, we will add more data and disparity figures to this dashboard as we uncover and catalog it for your reference.  

In addition to our expanding snapshot of current or recently measured disparities, this project also highlights areas of progress and regress in closing disparities in critical life outcomes. Our “Progress Report Cards” (visible on the right-hand menu) allow users to track changes within the United States between different racial groups and between different periods in time. The first “Progress Report Card” is the Black-White Progress Report Card, 1970-2020, featuring 15 different important variables, and to show areas of progress and regress. Future report cards will examine other time periods and different social and racial groupings.  Eventually, we may also add intersectional identities to this dashboard that allow for comparisons not just between racial groups, but combinations of race and gender and other demographic characteristics. Additionally, the figures presented here are national data. In the future, we may disaggregate the data to examine variations between regions, states, or even cities. Check this page for future updates.

We hope this project and its various features are useful to researchers, journalists, students and concerned citizens.

A Few Words of Caution

We caution that our dashboard does not provide an explanation for why some disparities exist, arose, have shrunk, grown larger, or persist. Research shows that, when presented with disparities, people tend to either explain it in terms of discrimination or cultural or intellectual differences between groups. We caution against drawing immediate conclusions or inferences about why these disparities exist. We believe that structural forces play a large role behind many of these disparities, but we deliberately avoid offering an explanation for why they exist or have changed. Our goals are to provide easily accessible data on and display current disparities in a single location, and further to illustrate how they have changed, to deepen our understanding about the dynamics of racial disparities, and suggest a more nuanced and complex story about race in America.^[2] Explanations for why these disparities exist or may have changed is beyond our immediate purpose with this project.

One more cautionary note: Disparities are measures of progress towards a more racially just society, a yardstick by which we can and should gauge progress. However, closing out the disparity should not necessarily be the primary policy goal (we do, however, link each grade card to our Structural Racism Remedies Repository, which offers policies that may be able to do this).^[3] Consistent with our Targeted Universalism framework, we recommend instead setting a universal goal for each issue area (where appropriate), and striving, through policy, to get all groups to that threshold. A byproduct should be to reduce disparities, but that is not the policy goal. This, again, is why our Progress Report Card grades are based on more factors than simply whether the disparity widened or not.

Notes on the table:

• To see a specific category of your choice, select the category from the dropdown menu above the table. The relative disparities shaded in red indicate a severe or high disparity (value 50% or above), the yellow indicates moderate (value 10% or above but less than 50%), and the green indicates low (value less than 10%). All sources are in the note below.^[4]
• *American College Testing **National Assessment of Educational Progress ***Program for International Student Assessment ****Scholastic Assessment Test
• Formulas: Absolute Disparity = Data for whites - Data for Blacks; Relative Disparity = Absolute Disparity/Data for Blacks

A Few Observations

• Among our 9 categories where there are more than one indicator, the criminal justice disparities seem consistently the most severe, while the civic indicators seem the least disparate. 
• Although most of the educational indicators fall in the “moderate” range, it is notable that Math-related indicators are the largest of the disparities.
• The Health disparities are well-documented and wide-ranging, but the largest disparity is the prevalence of practicing physicians and cancer.
• The smallest disparity overall is high school degree completion.
• By far the worst disparity, in percentage terms, is the stunning racial wealth gap, and it may be one of the most important. 

We thank you for your interest in this project and hope you find it useful. This expanding snapshot of current disparities will be continually updated as new indicators or variables are included and as data becomes available. As always, get updates by subscribing to our newsletter here. If you have a request or suggestion for items that should be included or considered for inclusion or questions about this project, please email Stephen Menendian and Samir Gambhir. Your feedback will be important to us as we consider further iterations of and updates to this project.

Acknowledgments

This project was a joint effort with contributions from the Equity Metrics team, Communications, and leadership under Stephen Menendian. This project was conceived and led by Stephen Menendian, and the methodology was designed and refined by Stephen and Samir Gambhir. The data was collected and organized by Samir Gambhir and Eve Liao, who provided invaluable suggestions from a data science perspective. The dashboard with visualizations was designed by Jake Tompkins with input from the rest of the project team.