title: Leading Causes of Death in Nonmetropolitan and Metropolitan Areas- United States, 1999-2014.
abstract: OBJECTIVE
  Higher rates of death in nonmetropolitan areas (often referred to as rural areas) compared with metropolitan areas have been described but not systematically assessed.
  
  
  METHODS
  1999-2014 DESCRIPTION OF SYSTEM: Mortality data for U.S. residents from the National Vital Statistics System were used to calculate age-adjusted death rates and potentially excess deaths for nonmetropolitan and metropolitan areas for the five leading causes of death. Age-adjusted death rates included all ages and were adjusted to the 2000 U.S. standard population by the direct method. Potentially excess deaths are defined as deaths among persons aged <80 years that exceed the numbers that would be expected if the death rates of states with the lowest rates (i.e., benchmark states) occurred across all states. (Benchmark states were the three states with the lowest rates for each cause during 2008-2010.) Potentially excess deaths were calculated separately for nonmetropolitan and metropolitan areas. Data are presented for the United States and the 10 U.S. Department of Health and Human Services public health regions.
  
  
  RESULTS
  Across the United States, nonmetropolitan areas experienced higher age-adjusted death rates than metropolitan areas. The percentages of potentially excess deaths among persons aged <80 years from the five leading causes were higher in nonmetropolitan areas than in metropolitan areas. For example, approximately half of deaths from unintentional injury and chronic lower respiratory disease in nonmetropolitan areas were potentially excess deaths, compared with 39.2% and 30.9%, respectively, in metropolitan areas. Potentially excess deaths also differed among and within public health regions; within regions, nonmetropolitan areas tended to have higher percentages of potentially excess deaths than metropolitan areas.
  
  
  CONCLUSIONS
  Compared with metropolitan areas, nonmetropolitan areas have higher age-adjusted death rates and greater percentages of potentially excess deaths from the five leading causes of death, nationally and across public health regions.
  
  
  CONCLUSIONS
  Routine tracking of potentially excess deaths in nonmetropolitan areas might help public health departments identify emerging health problems, monitor known problems, and focus interventions to reduce preventable deaths in these areas.
authors.affiliation: National Center for Health Statistics, CDC.
authors.forename: Ernest
authors.initials: E
authors.lastname: Moy
authors.affiliation: Center for Surveillance, Epidemiology, and Laboratory Services, CDC.
authors.forename: Macarena C
authors.initials: MC
authors.lastname: Garcia
authors.affiliation: National Center for Health Statistics, CDC.
authors.forename: Brigham
authors.initials: B
authors.lastname: Bastian
authors.affiliation: National Center for Health Statistics, CDC.
authors.forename: Lauren M
authors.initials: LM
authors.lastname: Rossen
authors.affiliation: National Center for Health Statistics, CDC.
authors.forename: Deborah D
authors.initials: DD
authors.lastname: Ingram
authors.affiliation: National Center for Injury Prevention and Control, CDC.
authors.forename: Mark
authors.initials: M
authors.lastname: Faul
authors.affiliation: National Center for Chronic Disease Prevention and Health Promotion, CDC.
authors.forename: Greta M
authors.initials: GM
authors.lastname: Massetti
authors.affiliation: National Center for Chronic Disease Prevention and Health Promotion, CDC.
authors.forename: Cheryll C
authors.initials: CC
authors.lastname: Thomas
authors.affiliation: National Center for Chronic Disease Prevention and Health Promotion, CDC.
authors.forename: Yuling
authors.initials: Y
authors.lastname: Hong
authors.affiliation: Center for Surveillance, Epidemiology, and Laboratory Services, CDC.
authors.forename: Paula W
authors.initials: PW
authors.lastname: Yoon
authors.affiliation: Center for Surveillance, Epidemiology, and Laboratory Services, CDC.
authors.forename: Michael F
authors.initials: MF
authors.lastname: Iademarco
mesh_terms: D000059:Accidents / Q000706:statistics & numerical data; D000368:Aged; D002423:Cause of Death; D002908:Chronic Disease; D006331:Heart Diseases / Q000401:mortality*; D006801:Humans; D009369:Neoplasms / Q000401:mortality*; D012140:Respiratory Tract Diseases / Q000401:mortality*; D012424:Rural Population / Q000706:statistics & numerical data*; D020521:Stroke / Q000401:mortality*; D014481:United States / Q000453:epidemiology; D014505:Urban Population / Q000706:statistics & numerical data*; D014947:Wounds and Injuries / Q000401:mortality*