The quality of rural population estimates from the American Community Survey

2000 ◽  
Vol 26 (3-4) ◽  
pp. 193-230 ◽  
Author(s):  
Diane K. McLaughlin ◽  
Heidi M. Melz ◽  
Daniel T. Lichter ◽  
Erica L. Gardner
2014 ◽  
pp. 1-9
Author(s):  
C. SIORDIA

Background: Population estimates on disability prevalence inform policy makers and public health professionals. Understanding how factors capable of affecting measurement (e.g., proxy-report) vary in the population is important for establishing level of confidence in sample-derived population estimates. Objectives: To establish how use of proxy-reports varies by six disability types stratified by sex, race-ethnicity, and age group. Specific aim is achieved by investigating the number of proxy-reports used amongst the disable population. Design: Cross-sectional study using American Community Survey (ACS) Public Use Microdata Sample (PUMS) 3-year file collected during 2009-2011 survey period. Setting: Community-dwelling population in continental United States (US). Participants: The unweighted count of 6,003,183 individuals in the microdata are said to represent about 193,277,485 individuals in the continental US population. Measurements: Stratified disability period estimates are computed. Amongst the disable: the number of proxy-reports; allocations; and Person Inflation Ratios (PRIs) are presented by disability type. Results: Half of all the reported disabilities are derived through the use of proxy-report. In addition, high rates of item-allocation and PRIs are generally found in race-ethnic minorities. Proxy-report use and PRIs are lower for those aged > 65—but not allocation rates. Conclusions: Although use of proxy report in the ascertainment of disability varies in complex ways, data suggest prevalence of proxy reports is lowest amongst Non-Latino-Black females ages 21 to 64. Efforts toward providing clinicians with high quality descriptive epidemiology should continue as a reliable thermometer for measuring disability in the population is needed.


Urban Science ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 80
Author(s):  
Phillip Granberry ◽  
Christina Kim ◽  
Matthew Resseger ◽  
Jonathan Lee ◽  
Alvaro Lima ◽  
...  

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.


Demography ◽  
2016 ◽  
Vol 53 (5) ◽  
pp. 1535-1554 ◽  
Author(s):  
David C. Folch ◽  
Daniel Arribas-Bel ◽  
Julia Koschinsky ◽  
Seth E. Spielman

2020 ◽  
Vol 19 (2) ◽  
pp. 134-148
Author(s):  
Rogelio Sáenz

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.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Antonio Preti ◽  
Roberto Demontis ◽  
Giulia Cossu ◽  
Goce Kalcev ◽  
Federico Cabras ◽  
...  

Abstract Background Generalized anxiety disorder (GAD) is one of the most reported diagnoses in psychiatry, but there is some discrepancy between the cases identified in community studies and those identified in tertiary care. This study set out to evaluate whether the use of clinicians as interviewers may provide estimates in a community survey close to those observed in primary or specialized care. Methods This is a community survey on a randomly selected sample of 2338 adult subjects. The Advanced Neuropsychiatric Tools and Assessment Schedule (ANTAS) was administered by clinicians, providing lifetime diagnosis based on the DSM-IV-TR. Health-related quality of life (HR-QoL) was measured with the Short-Form Health Survey (SF-12). Results Overall, 55 (2.3%) subjects met the criteria for GAD, with greater prevalence in women (3.6%) than in men (0.9%): OR = 4.02; 95%CI: 1.96–8.26. Up to 40% of those with GAD had at least another diagnosis of mood, anxiety, or eating disorders. The mean score of SF-12 in people with GAD was 32.33 ± 6.8, with a higher attributable burden than in other conditions except for major depressive disorder. Conclusions We found a relatively lower lifetime prevalence of GAD than in community surveys based on lay interviewers and a structured interview. The identified cases of GAD showed a strong impact on the quality of life regardless of co-morbidity and high risk in women, suggesting a profile similar to the one identified from studies in primary and specialized care.


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