Related Experiment Video
Updated: May 29, 2025

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
Published on: May 10, 2019
Data impacts of changes in U.S. Census Bureau procedures for race and ethnicity data
Elizabeth Arias1, Carolyn A Liebler2, Marc A Garcia3
1National Center for Health Statistics, 3311 Toledo Road, Hyattsville, MD, 20782, USA.
New U.S. Census Bureau (USCB) race and ethnicity data changes beginning in 2020 created significant data discontinuity. This impacts demographic, socioeconomic, and mortality statistics, requiring new methods for data comparability.
Area of Science:
- Demography
- Sociology
- Public Health
Background:
- The U.S. Census Bureau (USCB) introduced procedural changes to race and ethnicity data collection starting with the 2020 decennial census and American Community Survey (ACS).
- These changes potentially introduced major data discontinuity, but the USCB has not published research on their impact.
- Hispanic and American Indian/Alaska Native populations are most affected by these changes.
Purpose of the Study:
- To investigate the impact of USCB procedural changes on racial and ethnic distributions.
- To analyze changes in demographic, socioeconomic, and mortality characteristics for affected populations.
Main Methods:
- Utilized 2019 and 2021 one-year ACS public-use microdata.
- Employed 2019 and 2021 National Center for Health Statistics (NCHS) mortality data.
- Compared racial distributions and estimated demographic, socioeconomic, and mortality measures between 2019 and 2021.
Main Results:
- Significant data discontinuity was observed in USCB race and ethnicity data post-2020.
- The procedural changes impacted the comparability of demographic, socioeconomic, and mortality statistics.
- Analyses relying on pre- and post-2020 USCB data are affected.
Conclusions:
- USCB data changes beginning in 2020 have significantly impacted data comparability.
- Methods are needed to bridge race and ethnicity data between pre- and post-2020 datasets.
- This study highlights the critical need to address the race and ethnicity data discontinuity in USCB data.
More Related Videos
06:05The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Related Concept Videos
Stereotypes, Prejudice, and Discrimination
Surveys
RACE - Rapid Amplification of cDNA Ends
How Data are Classified: Categorical Data
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
Genetic Drift
Censoring Survival Data