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.

scholarly journals Coverage and Agreement of Administrative Records and 2010 American Community Survey Demographic Data

2017 ◽  
Author(s):  
Adela Luque ◽  
Renuka Bhaskar ◽  
Sonya Rastogi ◽  
James Noon
Keyword(s):  
Census Data ◽  
Demographic Data ◽  
Census Bureau ◽  
Community Survey ◽  
Third Party ◽  
American Community Survey ◽  
Administrative Records ◽  
Hispanic Origin ◽  
Response Data ◽  
Demographic Response

The U.S. Census Bureau is researching possible uses of administrative records in decennial census and survey operations. The 2010 Census Match Study and American Community Survey (ACS) Match Study represent recent efforts by the Census Bureau to evaluate the extent to which administrative records provide data on persons and addresses in the 2010 Census and 2010 ACS. The 2010 Census Match Study also examines demographic response data collected in administrative records. Building on this analysis, we match data from the 2010 ACS to federal administrative records and third party data as well as to previous census data and examine administrative records coverage and agreement of ACS age, sex, race, and Hispanic origin responses. We find high levels of coverage and agreement for sex and age responses and variable coverage and agreement across race and Hispanic origin groups. These results are similar to findings from the 2010 Census Match Study.

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.

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.

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.

scholarly journals A Special Needs Approach: A Study of How Libraries Can Start Programs for Children with Disabilities

2015 ◽  
Vol 13 (3) ◽  
pp. 28 ◽  
Author(s):  
Denice Adkins ◽  
Bobbie Bushman
Keyword(s):  
Special Needs ◽  
Independent Living ◽  
Self Care ◽  
Census Bureau ◽  
Common Type ◽  
Community Survey ◽  
School Age Children ◽  
American Community Survey ◽  
Cognitive Disability ◽  
School Age

The Census Bureau reports that 5.2 percent of school-age children (2.8 million) were reported to have a disability. The American Community Survey defines a person with a disability as a person having a “vision, hearing, cognitive, ambulatory, self-care, or independent living difficulty.” Per the American Community Survey, the most common type of disability diagnosed in school-age children is cognitive disability, which they define as “serious difficulty concentrating, remembering, or making decisions.”

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