scholarly journals Separate, Unequal, and Uncorrelated: Why We Need to Consider Race-specific Homicide Rates in US Metropolitan Areas

2018 ◽  
Vol 4 ◽  
pp. 237802311877395
Author(s):  
Scott Feld ◽  
Shawn Bauldry
Keyword(s):  
Disease Control ◽  
Cause Of Death ◽  
Metropolitan Areas ◽  
Community Survey ◽  
American Community Survey ◽  
Homicide Rates ◽  
Black And White ◽  
Separate And Unequal ◽  
Underlying Cause Of Death ◽  
Racial Divide

Sociologists recognize that American metropolitan areas continue to be highly segregated by race and that blacks continue to experience much higher homicide rates than whites across metropolitan areas. We show that the racial divide goes beyond separate and unequal to the point of being uncorrelated. Based on data from the Centers for Disease Control Underlying Cause of Death files 2008–2010 and the American Community Survey, this paper reports that homicide rates for whites and blacks are uncorrelated across US metropolitan areas. We show that under these conditions, the practice of analyzing overall homicide rates can substantially misrepresent both subgroups and that the correlations of other variables with overall homicide rates systematically exaggerate the average of the correlations with the two separate homicide rates. We therefore suggest that it is crucial to analyze rates of black and white homicide separately to accurately describe and understand causes and consequences of urban homicide.

The Rising Relative Presence of Whites in Majority Non-White Cities

2021 ◽  
pp. 000276422110660
Author(s):  
Rogelio Sáenz
Keyword(s):  
Metropolitan Areas ◽  
Urban Neighborhoods ◽  
Community Survey ◽  
Policy Implications ◽  
Decennial Census ◽  
American Community Survey ◽  
Socioeconomic Gaps ◽  
Time Periods ◽  
Percentage Share

After several decades of Whites fleeing large metropolitan areas, they are now increasingly gentrifying urban neighborhoods and communities. This analysis uses data from the 2000 decennial census and the 2012 and 2017 American Community Survey to assess the growing presence of Whites in U.S. cities. The analysis examines the extent to which Whites have experienced an increase in their percentage share of the populations of 212 majority non-White communities with 50,000 or more inhabitants over two time periods (2000 to 2008–2012 and 2008–2012 to 2013–2017). The results show that 39 communities have experienced an expanding relative presence of Whites in one or both periods. Whites generally are growing at a faster pace than Blacks and Latinos in these communities and there are large socioeconomic gaps favoring Whites. The article concludes with a discussion of the policy implications of the findings.

scholarly journals The Tenuous Attachments of Working-Class Men

2019 ◽  
Vol 33 (2) ◽  
pp. 211-228 ◽  
Author(s):  
Kathryn Edin ◽  
Timothy Nelson ◽  
Andrew Cherlin ◽  
Robert Francis
Keyword(s):  
South Carolina ◽  
Working Class ◽  
Child Support ◽  
Ethnic Difference ◽  
Metropolitan Areas ◽  
Ethnically Diverse ◽  
White Men ◽  
Black And White ◽  
Work Family ◽  
Diverse Groups

In this essay, we explore how working-class men describe their attachments to work, family, and religion. We draw upon in-depth, life history interviews conducted in four metropolitan areas with racially and ethnically diverse groups of working-class men with a high school diploma but no four-year college degree. Between 2000 and 2013, we deployed heterogeneous sampling techniques in the black and white working-class neighborhoods of Boston, Massachusetts; Charleston, South Carolina; Chicago, Illinois; and the Philadelphia/Camden area of Pennsylvania and New Jersey. We screened to ensure that each respondent had at least one minor child, making sure to include a subset potentially subject to a child support order (because they were not married to, or living with, their child's mother). We interviewed roughly even numbers of black and white men in each site for a total of 107 respondents. Our approach allows us to explore complex questions in a rich and granular way that allows unanticipated results to emerge. These working-class men showed both a detachment from institutions and an engagement with more autonomous forms of work, childrearing, and spirituality, often with an emphasis on generativity, by which we mean a desire to guide and nurture the next generation. We also discuss the extent to which this autonomous and generative self is also a haphazard self, which may be aligned with counterproductive behaviors. And we look at racial and ethnic difference in perceptions of social standing.

Latino Continual Demographic Growth: Implications for Educational Practices and Policy

2020 ◽  
Vol 19 (2) ◽  
pp. 134-148
Author(s):  
Rogelio Sáenz
Keyword(s):  
Undocumented Students ◽  
Population Data ◽  
Community Survey ◽  
Ethnic Composition ◽  
Educational Practices ◽  
American Community Survey ◽  
Undergraduate Enrollment ◽  
Demographic Shifts ◽  
Demographic Growth ◽  
The U.S

Demographic shifts have transformed the racial and ethnic composition of the U.S. undergraduate population. Data from the American Community Survey are used to analyze Latino undergraduate enrollment as well as factors that contribute to the matriculation of undocumented Latino young adults. The article concludes with an overview of the implications of the growth of the Latino population and the experience of undocumented students on educational practices and policies.

Taking a Chance in the Classroom: The American Community Survey

CHANCE ◽  
2013 ◽  
Vol 26 (1) ◽  
pp. 42-46
Author(s):  
Dalene Stangl ◽  
Mine Çetinkaya-Rundel ◽  
Kari Lock Morgan
Keyword(s):  
Community Survey ◽  
American Community Survey

scholarly journals Comparing denominator sources for real-time disease incidence modeling: American Community Survey and WorldPop

2021 ◽  
pp. 100786
Author(s):  
Rachel C. Nethery ◽  
Tamara Rushovich ◽  
Emily Peterson ◽  
Jarvis T. Chen ◽  
Pamela D. Waterman ◽  
...  
Keyword(s):  
Real Time ◽  
Disease Incidence ◽  
Community Survey ◽  
American Community Survey

Measuring the Impact of COVID-19 on Businesses and People: Lessons from the Census Bureau’s Experience

2021 ◽  
Vol 111 ◽  
pp. 312-316
Author(s):  
Catherine Buffington ◽  
Jason Fields ◽  
Lucia Foster
Keyword(s):  
Current Population Survey ◽  
Population Survey ◽  
Census Bureau ◽  
Community Survey ◽  
American Community Survey ◽  
Annual Business ◽  
Data Products ◽  
Business Survey ◽  
The Impact ◽  
Existing Data

We provide an overview of Census Bureau activities to enhance the consistency, timeliness, and relevance of our data products in response to the COVID-19 pandemic. We highlight new data products designed to provide timely and granular information on the pandemic's impact: the Small Business Pulse Survey, weekly Business Formation Statistics, the Household Pulse Survey, and Community Resilience Estimates. We describe pandemic-related content introduced to existing surveys such as the Annual Business Survey and the Current Population Survey. We discuss adaptations to ensure the continuity and consistency of existing data products such as principal economic indicators and the American Community Survey.

ARE HEALTH INSURANCE ITEM ALLOCATIONS IN THE AMERICAN COMMUNITY SURVEY MISSING COMPLETELY AT RANDOM?

2013 ◽  
pp. 1-7
Author(s):  
C. SIORDIA
Keyword(s):  
Health Insurance ◽  
Minority Groups ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Community Survey ◽  
American Community Survey ◽  
Data Sets ◽  
Missing Responses ◽  
Missing Completely At Random ◽  
Racial Ethnic

Background:Item allocation (the assignment of plausible values to missing or illogical responses insurvey studies) is at times necessary in the production of complete data sets. In the American Community Survey(ACS), missing responses to health insurance coverage questions are allocated. Objectives:Because allocationrates may vary as a function of compositional characteristics, this project investigates how seven different healthinsurance coverage items vary in their degree of allocation along basic demographic variables. Methods: Datafrom the ACS 2010 1-year Public Use Microdata Sample file are used in a logistic regression model and tocalculate allocations rates. Results:The findings reveal that: males; people aged 65 and older; those who speakEnglish “very well” or “well”; US citizens; those out-of-poverty; and all racial/ethnic minority groups havehigher odds of experiencing a health insurance item allocation relative to their counterparts. Conclusions: Sincehealth insurance coverage allocations vary by demographic characteristics, further research is needed toinvestigate their mechanisms of missingness and how these may have implications for frailty related research.

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