Population Mobility within the United States

Population ◽  
1965 ◽  
Vol 20 (5) ◽  
pp. 892
Author(s):  
P. P. ◽  
Henry S. Shryock
1965 ◽  
Vol 19 (2) ◽  
pp. 211
Author(s):  
Sidney Goldstein ◽  
Henry S. Shryock

1965 ◽  
Vol 43 (2) ◽  
pp. 254
Author(s):  
Brinley Thomas ◽  
Henry S. Shryock

2017 ◽  
Vol 1 (1) ◽  
pp. 41-54 ◽  
Author(s):  
Aude Bernard ◽  
Peta Forder ◽  
Hal Kendig ◽  
Julie Byles

Background: Levels of internal migration vary significantly between countries. Australia and the United States consistently record among the highest levels of migration anywhere in the world. Very little is known, however, about the factors underlying mobility differentials. We argue that this is because existing evidence is almost exclusively based on period measures applied to cross-sectional data. Aims: We seek to advance understanding of cross-national variations in levels of residential mobility by drawing on a newly proposed suite of cohort migration measures, coupled with the recent release of internationally comparable retrospective residential history data. Data and methods: Focusing on the early cohort of baby boomers born between 1947 and 1951, the paper examines residential mobility levels and patterns in early and mid-adulthood in Australia and the United States and compares them with 14 European countries. Differences in completed levels of residential mobility are assessed in terms of four components: the proportion of a cohort who moved at least once; mean age at first move; mean age at last move; and average interval between moves. Results: While cohort analysis confirms high levels of mobility in Australia and the United States, it does not support the notion of a common ‘new world’ mobility regime distinct from other advanced economies. Conclusion: A cohort perspective offers refined insights into population mobility. The increasing availability of retrospective survey data means that researchers can now apply cohort measures to a wide range of countries.


Social Forces ◽  
1965 ◽  
Vol 44 (2) ◽  
pp. 260
Author(s):  
Everett S. Lee ◽  
Henry S. Shryock

Author(s):  
Paul F. Testa ◽  
Richard Snyder ◽  
Eva Rios ◽  
Eduardo Moncada ◽  
Agustina Giraudy ◽  
...  

Abstract Context: Reductions in population mobility can mitigate virus transmission and, in turn, disease-related mortality. But do social distancing policies in response to COVID-19 actually change population behavior and, if so, what political, socioeconomic, and epidemiological factors condition this policy effect? Methods: We leverage subnational variation in the stringency and timing of state-issued social distancing policies to test their effects on population mobility from March to December 2020 across 109 states in Brazil, Mexico, and the United States. We also explore how conventional explanations of compliance, including political trust, socioeconomic resources, health risks, and partisanship, modify these policy effects. Findings: In Brazil and the U.S., mandatory stay-at-home orders and workplace closures jointly reduced mobility, especially early in the pandemic. In Mexico, where federal government intervention created greater policy uniformity across states, workplace closures produced the most consistent reduction in mobility. Conventional explanations of compliance perform well in the U.S. but not in Brazil and Mexico, with the exception of socioeconomic resources. Conclusions: In addition to new directions for future research on the politics of compliance, the article offers insights for policymakers about which public health measures are likely to elicit compliance. Our finding that the efficacy of workplace closures at reducing population mobility increases with levels of socioeconomic development suggests that cash transfers, economic stimulus packages, and other policies that mitigate the financial burdens of the pandemic may help reduce population mobility by decreasing the costs of staying at home.


2021 ◽  
Author(s):  
Juan Pablo Chauvin

This paper investigates what explains the variation in impacts of COVID-19 across Brazilian cities. I assemble data from over 2,500 cities on COVID-19 cases and deaths, population mobility, and local policy responses. I study how these outcomes correlate with pre-pandemic local characteristics, drawing comparisons with existing US estimates when possible. As in the United States, the connections between city characteristics and outcomes in Brazil can evolve over time, with some early correlations fading as the pandemic entered a second wave. Population density is associated with greater local impact of the disease in both countries. However, in contrast to the United States, the pandemic in Brazil took a greater toll in cities with higher income levels consistent with the fact that higher incomes correlate with greater mobility in Brazil. Socioeconomic vulnerabilities, such as the presence of slums and high residential crowding, correlate with higher death rates per capita. Cities with such vulnerabilities in Brazil suffered higher COVID-19 death rates despite their residents' greater propensity to stay home. Policy responses do not appear to drive these connections.


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