Temporal and spatial variation in age-specific net migration in the United States.
As fertility differences in the United States diminish, population redistribution trends are increasingly dependent on migration. This research used newly developed county-level age-specific net migration estimates for the 1990s, supplemented with longitudinal age-specific migration data spanning the prior 40 years, to ascertain whether there are clear longitudinal trends in age-specific net migration and to determine if there is spatial clustering in the migration patterns. The analysis confirmed the continuation into the 1990s of distinct net migration "signature patterns" for most types of counties, although there was temporal variation in the overall volume of migration across the five decades. A spatial autocorrelation analysis revealed large, geographically contiguous regions of net in-migration (in particular, Florida and the Southwest) and geographically contiguous regions of net out-migration (the Great Plains, in particular) that persisted over time. Yet the patterns of spatial concentration and fragmentation over time in these migration data demonstrate the relevance of this "neighborhood" approach to understanding spatiotemporal change in migration.
Johnson
Kenneth M
KM
Department of Sociology, Loyola University-Chicago, IL 60626, USA. kjohnso@luc.edu
Voss
Paul R
PR
Hammer
Roger B
RB
Fuguitt
Glenn V
GV
McNiven
Scott
S
D000293:Adolescent; D000328:Adult; D000368:Aged; D001723:Birth Rate; D019352:Censuses; D002648:Child; D002675:Child, Preschool; D018864:Cultural Diversity; D003657:Decision Making; D004641:Emigration and Immigration / Q000706:statistics & numerical data / Q000639:trends*; D005298:Fertility; D005843:Geography; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008137:Longitudinal Studies; D008875:Middle Aged; D011157:Population Dynamics / Q000706:statistics & numerical data / Q000639:trends*; D012424:Rural Population / Q000706:statistics & numerical data* / Q000639:trends; D013029:Space-Time Clustering; D014481:United States; D014505:Urban Population / Q000706:statistics & numerical data* / Q000639:trends