This dataset contains the age-standardized mortality rate for both sexes combined (deaths per 100,000 population) groups of injuries from 1980 to 2014. Diseases are classified based on Level 1 and 2 Causes of Death in the Global Burden of Disease Hierarchy. Groups of diseases under the Injuries category are the following:
Transport injuries (level 2): road injuries; other transport injuries
Unintentional injuries (level 2): falls; drowning; fire, heat, and hot substances; poisonings; exposure to mechanical forces; adverse effects of medical treatment; animal contact; foreign body; other unintentional injuries; environmental heat and cold exposure
Self-harm and interpersonal violence (level 2): self-harm; interpersonal violence
Forces of nature, war, and legal intervention (level 2): exposure to forces of nature; collective violence and legal intervention
The data on US Mortality Rates was from a study conducted by Laura Dwyer-Lindgren, Amelia Bertozzi-Villa, Rebecca W. Stubbs et al on US County-Level Trends in Mortality Rates for Major Causes of Death, 1980-2014, published on December 31, 2016, on Journal of the American Medical Association (JAMA).
This study was conducted to address the question on varying levels and trends in cause-specific mortality rates for 21 major causes of death by county within the United States. This study utilized de-identified death records from the National Vital Statistics System provided by the National Center for Health Statistics that occurred within the United States from January 1, 1980, through December 31, 2014. Death records included information on age, sex, and county of residence at the time of death for each decedent, as well as the registered underlying cause of death, coded according to the International Classification of Diseases, Ninth Revision (ICD-9) for deaths prior to 1999 and ICD-10 for deaths that occurred in 1999 or later. Deaths were tabulated by age group, sex, county, year, and cause. This research received institutional review board approval from the University of Washington. Informed consent was not required because the study used de-identified data and was retrospective.
In addition, population data were provided by the US Census Bureau and National Center for Health Statistics. The US Census Bureau provided population annual county-level population counts by age, sex, and race from 1980 to 1989 while National Center for Health Statistics provided annual county-level population counts by age, sex, and race/ethnicity from 1990 to 2014. Population counts in both series were summed across all race/ethnicity groups to generate annual county-level population counts by age group and sex and combined to produce a time series covering 1980 through 2014 and scaled to match the total population in each year provided by the Human Mortality Database.
Use of death registration data from the National Vital Statistics System (NVSS) and analysis using a novel method for county-level estimation of annual mortality rates by US county for 21 mutually exclusive causes of death from 1980 to 2014, showed that there is significant variation in mortality rates and changes in mortality rates for all causes of death geographically in the US. Information on county-level patterns in cause-specific mortality rates could be useful for public health and research use in improving health and reducing geographic disparities.