scholarly journals Recent Marriages to Same-sex and Different-sex Couples: Mobility, Region, Home Ownership, and Household Income

2021 ◽  
Author(s):  
Krista Payne ◽  
Wendy Manning
Keyword(s):  
Geographic Variation ◽  
Household Income ◽  
Home Ownership ◽  
Community Survey ◽  
American Community Survey ◽  
Same Sex ◽  
Remarriage Rate ◽  
The U.S

Although approximately half of all marriages in the U.S. end in divorce (Amato, 2010; Cherlin, 2010), the remarriage rate has declined steadily in recent decades (Brown & Lin, 2013; Schweizer, 2019). In this profile, we examine the trend in the remarriage rate since 1990 (see Note) and investigate geographic variation in the remarriage rate by gender using recent American Community Survey (ACS) data. This profile is an update of a previous profile on the Geographic Variation in the Remarriage Rate (FP-15-08).

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.

scholarly journals Who Can Work from Home?

2020 ◽  
Author(s):  
Vasil Yasenov
Keyword(s):  
Ethnic Minorities ◽  
Community Survey ◽  
American Community Survey ◽  
Younger Adults ◽  
Large Segment ◽  
Work From Home ◽  
Distributional Consequences ◽  
Lower Wage ◽  
The U.S ◽  
At Home

In response to the COVID-19 pandemic, many states have adopted stay-at-home orders, rendering a large segment of the workforce unable to continue doing their jobs. These policies have distributional consequences, as workers in some occupations may be better able to continue their work from home. I identify the segments of the U.S. workforce that can plausibly work from home by linking occupation data from O*NET to the American Community Survey. I find that lower-wage workers are up to three times less likely to be able to work from home than higher-wage workers. Those with lower levels of education, younger adults, ethnic minorities, and immigrants are also concentrated in occupations that are less likely to be performed from home.

scholarly journals Who Is At Risk of Migrating? Developing Synthetic Populations to Produce Efficient Domestic Migration Rates Using the American Community Survey

Urban Science ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 80
Author(s):  
Phillip Granberry ◽  
Christina Kim ◽  
Matthew Resseger ◽  
Jonathan Lee ◽  
Alvaro Lima ◽  
...  
Keyword(s):  
Census Bureau ◽  
Community Survey ◽  
Population Projections ◽  
Population Estimates ◽  
American Community Survey ◽  
Migration Rates ◽  
Domestic Migration ◽  
Migration Data ◽  
Synthetic Populations ◽  
The U.S

Success in producing a population projection predominately depends on the accuracy of its migration rates. In developing an interregional, cohort-component projection methodology for the U.S. city of Boston, Massachusetts, we created an innovative approach for producing domestic migration rates with synthetic populations using 1-year, American Community Survey (ACS), and Public Use Microdata Samples (PUMS). Domestic in- and out-migration rates for Boston used 2007–2014 ACS data and developed synthetic Boston and United States populations to serve as denominators for calculating these rates. To assess the reliability of these rates, we compared the means and standard deviations of eight years of these rates (2007–2014) with synthetic populations by single-year ages for females and males to rates produced from two ACS samples using the same migration data in the numerator but the prior year’s age data in the denominator. We also compared results of population projections for 2015 using these different migration rates to several 2015 U.S. Census Bureau population estimates for Boston. Results suggested our preferred rates with synthetic populations using one ACS sample for each year’s migration rates were more efficient than alternative rates using two ACS samples. Projections using these rates with synthetic populations more accurately projected Boston’s 2015 population than an alternative model with rates using the prior year’s age data.

scholarly journals The Effect of Data Swapping on Analyses of American Community Survey Data

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Nicolas Kim
Keyword(s):  
Survey Data ◽  
Census Data ◽  
Census Bureau ◽  
Community Survey ◽  
Public Access ◽  
Categorical Variables ◽  
American Community Survey ◽  
Joint Distributions ◽  
Restricted Use ◽  
The U.S

Researchers from a growing range of fields and industries rely on public-access census data. These data are altered by census-taking agencies to minimize the risk of identification; one such disclosure avoidance measure is the data swapping procedure. I study the effects of data swapping on contingency tables using a dummy dataset, public-use American Community Survey (ACS) data, and restricted-use ACS data accessed within the U.S. Census Bureau. These simulations demonstrate that as the rate of swapping is varied, the effect on joint distributions of categorical variables is no longer understandable when the data swapping procedure attempts to target at-risk individuals for swapping using a simple targeting criterion.

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