title: Social context and geographic patterns of homicide among US black and white males.
abstract: OBJECTIVE
  The recently published Atlas of United States Mortality depicted striking regional differences in homicide rates for Black and White males in the United States. This study examined these rates to gain an understanding of the contribution of social context to geographic variability in homicide.
  
  
  METHODS
  Homicide rates were calculated by health service area for the years 1988 to 1992. The contributions of age, geographic location, urbanization, and sociostructural characteristics were evaluated by means of a weighted linear mixed effects model.
  
  
  RESULTS
  Regional differences in urbanization explained much of the geographic variation in homicide rates, but sociostructural factors also had a significant impact. The results suggest that these effects operate similarly for White and Black males, although differences were found in the magnitudes of the effects for the 2 groups.
  
  
  CONCLUSIONS
  Results point to a strong association between homicide and urbanization and socioeconomic conditions in all regions of the country for both Black and White males. These findings shed light on the potential correlates of high homicide rates in the United States in the near future.
authors.affiliation: National Center for Health Statistics, Hyattsville, Md., USA. ccubbin@stanford.edu
authors.forename: C
authors.initials: C
authors.lastname: Cubbin
authors.forename: L W
authors.initials: LW
authors.lastname: Pickle
authors.forename: L
authors.initials: L
authors.lastname: Fingerhut
mesh_terms: D000293:Adolescent; D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data*; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D006708:Homicide / Q000706:statistics & numerical data*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D012424:Rural Population / Q000706:statistics & numerical data; D012940:Social Problems / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology; D014505:Urban Population / Q000706:statistics & numerical data; D044465:White People / Q000706:statistics & numerical data*