↓ Skip to main content

America’s Churning Races: Race and Ethnicity Response Changes Between Census 2000 and the 2010 Census

Overview of attention for article published in Demography, January 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 2,008)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
45 news outlets
policy
3 policy sources
twitter
20 X users
facebook
1 Facebook page
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
149 Dimensions

Readers on

mendeley
92 Mendeley
Title
America’s Churning Races: Race and Ethnicity Response Changes Between Census 2000 and the 2010 Census
Published in
Demography, January 2017
DOI 10.1007/s13524-016-0544-0
Pubmed ID
Authors

Carolyn A Liebler, Sonya R Porter, Leticia E Fernandez, James M Noon, Sharon R Ennis

Abstract

A person's racial or ethnic self-identification can change over time and across contexts, which is a component of population change not usually considered in studies that use race and ethnicity as variables. To facilitate incorporation of this aspect of population change, we show patterns and directions of individual-level race and Hispanic response change throughout the United States and among all federally recognized race/ethnic groups. We use internal U.S. Census Bureau data from the 2000 and 2010 censuses in which responses have been linked at the individual level (N = 162 million). Approximately 9.8 million people (6.1 %) in our data have a different race and/or Hispanic-origin response in 2010 than they did in 2000. Race response change was especially common among those reported as American Indian, Alaska Native, Native Hawaiian, Other Pacific Islander, in a multiple-race response group, or Hispanic. People reported as non-Hispanic white, black, or Asian in 2000 usually had the same response in 2010 (3 %, 6 %, and 9 % of responses changed, respectively). Hispanic/non-Hispanic ethnicity responses were also usually consistent (13 % and 1 %, respectively, changed). We found a variety of response change patterns, which we detail. In many race/Hispanic response groups, we see population churn in the form of large countervailing flows of response changes that are hidden in cross-sectional data. We find that response changes happen across ages, sexes, regions, and response modes, with interesting variation across racial/ethnic categories. Researchers should address the implications of race and Hispanic-origin response change when designing analyses and interpreting results.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 91 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Student > Master 16 17%
Researcher 12 13%
Student > Doctoral Student 9 10%
Professor > Associate Professor 5 5%
Other 16 17%
Unknown 14 15%
Readers by discipline Count As %
Social Sciences 41 45%
Psychology 4 4%
Medicine and Dentistry 3 3%
Agricultural and Biological Sciences 3 3%
Economics, Econometrics and Finance 3 3%
Other 18 20%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 395. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2023.
All research outputs
#77,178
of 25,550,333 outputs
Outputs from Demography
#17
of 2,008 outputs
Outputs of similar age
#1,889
of 421,525 outputs
Outputs of similar age from Demography
#2
of 23 outputs
Altmetric has tracked 25,550,333 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,008 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,525 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.