Table 2 - uploaded by Stephen M. Golant
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Destinations of Metropolitan (SMSA) Residents Who Moved Between 1975 and 1980,
Source publication
The 1975-1980 migration stream and net migration patterns of persons younger than 65 and 65 + were examined using data from the 1980 U.S. Census. Central cities and suburbs of metropolitan areas (SMSAs) and nonmetropolitan areas (NonSMSAs) were distinguished as origins and destinations. Most elderly movers relocated within a fairly limited geograph...
Contexts in source publication
Context 1
... was more true for central city elderly movers (70.1%) than suburban elderly movers (63.2%). Another 23% moved to a different metro- politan area (Table 2). ...
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Citations
... Literature on the relocation of older people shows that relocation is not a common response to aging, with relocation rates decreasing as people age. Fewer than 10% of older Americans relocate from their homes; and of those who do relocate, many move to a place similar to their previous environment (Golant 1987; AARP 2018; Joint Center for Housing Studies of Harvard University 2019; Li, Hu and Guo 2022). ...
Despite increasing attention to theories in transportation equity, few focus on specific social groups, such as older people. Scholars and practitioners need to better understand the implications that residential location, access to transportation, and technology resources have for older people's quality of life. Drawing on literature from urban planning, gerontology, and public health, I develop a framework, accessibility capability, that will support the planning of future transportation systems and neighborhoods to accommodate older people's travel needs. Scholars and practitioners can benefit from this critical synthesis of literature as they consider how to build more age-friendly cities and communities.
... At least since the 1970s, older persons have predominantly moved from the central or core principal cities of metropolitan areas to their suburbs, rather than in the opposite direction. Moreover, when older suburban occupants move, they typically relocate to another suburb (Frey, 2007;Golant, 1987;Kotkin, 2016). Consequently, along with the aforementioned aging in place influences, suburban communities experience net gains of their older populations because of their migration behaviors (Cox, 2018b). ...
... Neben der Frage nach Motiven und Anlässen der Ruhestandsmigration wurde von Beginn an auch die Frage der räumlichen und demographischen Folgen dieses neuen Migrationstyps untersucht (vgl. Longino 1980;Golant 1987;Longino 1995). Dabei wurde klar, dass die Vorstellung, es seien vor allem Fernumzüge, und die Vorstellung, das Phänomen werde quantitativ immer bedeutsamer, falsch sind. ...
... als Überblick Longino 1995). Diese auf der Basis von hochaggregierten Zensusdaten ermittelten Migrationsströme ließen den Eindruck entstehen, dass die Ruhestandsmigration durch mehrere Merkmale charakterisiert sei: Sie führt über große Distanzen und die Akteure sind jünge-es wird herausgestellt, dass die Älteren im Vergleich zu anderen Altersgruppen die sesshafteste Gruppe sind (Golant 1987). Friedrich stellt auf der Basis seiner Analysen fest, dass beide Punkte in besonderem Maße für Deutschland gelten (Friedrich 1994;Friedrich 1995). ...
Zusammenfassung
In der Diskussion über die aktuellen Tendenzen der Binnenmigration der älteren Generation gibt es eine Kontroverse über einen möglichen Trendwechsel. Für frühere Generationen von Personen im Ruhestand ist in vielen Untersuchungen (in verschiedenen Ländern) nachgewiesen worden, dass ihre Umzüge eine Art counterurbanisation waren. Im Saldo zog die ältere Bevölkerung aus den Kernen der Agglomerationen an die Peripherie oder generell aus den Städten in die ländlichen Regionen. Strittig ist nun, ob es dieses Muster der Ruhestandsmigration weiterhin gibt, oder ob es neuerdings auch die Älteren zurück in die Städte zieht. Obwohl dieser neue Trend in den Medien, in der Politik und in der Immobilienwirtschaft häufig als Tatsache hingestellt wird, gibt es wenig empirische Belege dafür. In der hier vorgestellten Untersuchung wird der Frage nach dem Trendwechsel zur Reurbanisierung mit einer Aggregatdaten-Analyse nachgegangen. Basis ist eine Auswertung der Indikatoren und Karten zur Raum- und Stadtentwicklung (INKAR) für die Periode 1995-2012. Ergebnis der Analysen ist, dass es in Deutschland in der Tat einen bemerkenswerten Strukturwandel der Ruhestandsmigration gibt. Die ,Stadtflucht‘ der Senioren ist deutlich zurückgegangen und es gibt immer mehr Großstädte (insbesondere in Ostdeutschland), die für diese Bevölkerungsgruppe positive Migrationssalden aufweisen.
... I majored in geography and was especially interested in courses that focused on the internal social and economic structure of urban areas. In retrospect, however, this urban emphasis was to influence-however unpredictably-my later research on the residential locations, migration patterns, and travel behaviors of older urban adults (Golant, 1987). The only hint of my eventual focus on the environments of older people was my early intrigue with the environmental (climatic) determinism of the controversial Ellsworth Huntington (1922). ...
... The concern that the non-random nature of residential mobility (Golant, 1987;Litwak and Longino, 1987) may bias the estimated effect of the neighborhood environment on health is evident throughout this entire literature. In order for the non-randomness of residential choice to bias the estimated effect of neighborhood environment on health, individual selection of neighborhood environment must be done with his or her own health in mind (Oakes, 2004(Oakes, , 2006. ...
This paper uses the difference-in-difference estimation approach to explore the self-selection bias in estimating the effect of neighborhood economic environment on self-assessed health among older adults. The results indicate that there is evidence of downward bias in the conventional estimates of the effect of neighborhood economic disadvantage on self-reported health, representing a lower bound of the true effect.
... Previous research suggests we need to recognize the elderly as a heterogeneous group in order to understand the appropriate policy interventions of the elderly subgroups in terms of lifecycle, location and lifestyle characteristics (Golant, 1987;Cutler and Coward, 1992;Zhou and Lyles, 1997;Alsnih and Hensher, 2003;Hildebrand, 2003). In an attempt to reduce the heterogeneity and because employment has a considerable impact on one's daily time budgets, especially the amount of leisure time, we have chosen a sub-sample of respondents aged 65 years and older who report they are no longer in the paid workforce. ...
It is well accepted that mobility is often closely linked to one's independence, well-being, and quality of life. This research seeks to quantify the impacts of transport mobility and investigate their impacts on the quality of life for non-working elderly Canadians. Statistics Canada's Time-Use data are used to develop contextually-derived time budgets that measure daily exposure to psychological, exercise, and community benefits of transport mobility. These time budget measures are stratified by dimensions of life situation and domains of subjective well-being. Results exhibit significant variations in transport mobility benefits by life situation and subjective well-being indices, and also indicate significant association between transport mobility benefits and quality of life. This research concludes with an evaluation of the potential for future applications of Canada's General Social Survey (GSS) time-use modules towards further development of an index of well-being that incorporates the benefits of transport mobility.
... Relocating is often an environmental adaptation made by older people who are seeking places to live that are consistent with their lifestyles, personal resources, and limitations (Golant, 1987). Moving to a location or into a setting where driving is less essential for meeting the basic necessities of life are ways of addressing mobility problems. ...
General Motors Corporation, Warren, Mich. http://deepblue.lib.umich.edu/bitstream/2027.42/1244/2/91238.0001.001.pdf
... When considering their responses to this question, it appears that these respondents picture making an amenities-oriented move (Litwak and Longino's [1987] type 1 move) rather than a move to adjust for disability (Litwak and Longino's types 2 and 3 moves) or staying where they are involuntarily (Wiseman 1980). Retirement mobility research has demonstrated that people with more resources have higher migration rates in their early retirement years (Golant 1987;Morrison 1990;Wiseman 1980). Respondents in this sample mirror this pattern in their expectations to move, with younger respondents and those with more education expressing more certainty of a future move. ...
This study applies a life-course approach and retirement migration theory to develop a model of future housing expectations and actual moves for a random sample of men and women in late midlife. Results suggest that late-midlife workers and retirees expect to age in place; expectations to live in highly supportive environments are uni- formly low. Older, nonmetropolitan respondents with less education and more years in their homes express the strongest expectations that they will age in place. Those people who rent their homes, have weaker ties to their communities, and have more symptoms of depression tend to foresee a move in the future. However, physical health of respondents and their spouses do not predict future housing expectations. Prior expectations about aging in place, residential history, and life-course changes in marriage and retirement predict actual moves within the next two years, with differing patterns for men and women. With the rapid expansion of the older population in the United States and the growing prevalence of chronic diseases, housing, and related services for older people are increasingly on the policy agenda (Pillemer et al. 1995; U.S. Bureau of the Census 1995). Several
... The earlier rural-to-urban migration decisions of large younger cohorts have steadily increased the relative size of the (at-risk) population that is aging in place in metropolitan areas. Moreover, when these populations do move, they are most likely to relocate within the same or to a different metropolitan area (Colant, 1987, Longino etal., 1984a, 1984b. ...
This paper analyzes U.S. Census, Current Population Survey data from 1970 to 1988. It establishes that the young-old (age
65–74) and old-old (75 plus) populations are now more likely to live in metropolitan areas, especially within suburban areas,
and are occupying residential locations that are less segregated from other age groups. As early as 1977 the majority of metropolitan
elderly people lived in suburban areas, and by 1988 only just over one-quarter of the U.S. elderly population lived in nonmetropolitan
areas.
Objective
To investigate residential mobility among community-living adults with spinal cord injury (SCI) and the individual, health, and neighborhood factors associated with the propensity to relocate.
Design
Retrospective analysis of data from the National SCI Model Systems (SCIMS) database collected between 2006 and 2018 and linked with the American Community Survey five-year estimates.
Setting
Community.
Interventions
Not applicable.
Participants
People with traumatic SCI who participated in two waves of follow-up and had residential geographic identifiers at the census tract level (N = 4,599).
Main Outcome Measures
Moving was a binary measure reflecting change in residential locations over a five-year interval. Move distance distinguished non-movers from local movers (different tracts within the same county) and long distance movers (to different county or state). Move quality included four categories: stayed/low poverty tract, stayed/high poverty tract, moved/low poverty tract, and moved/high poverty tract.
Results
One in four people moved within a five-year interval (n=1,175). Of the movers, 55% relocated to a different Census tract within the same county and 45% relocated to a different county or state. Thirty-five percent of all movers relocated to a high poverty Census tract. Racial and ethnic minorities, people from low income households, and younger adults were more likely to move, move locally, and relocate to a high poverty neighborhood. High poverty and racial/ethnic segregation in the origin neighborhood predicted an increased risk for remaining in or moving to a high poverty neighborhood.
Conclusions
Although people with SCI relocated at a lower rate than has been reported in the general population, moving was a frequent occurrence post-injury. People from vulnerable groups were more likely to remain in or relocate to socioeconomically disadvantaged neighborhoods, thus increasing the risk for health disparities and poorer long-term outcomes among minorities and people from low income households. These findings inform policy makers’ considerations of housing, healthcare, and employment initiatives for persons with SCI and other chronic disabilities.
