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National Automotive Sampling System (NASS) General Estimates System (GES) : analytical user's manual, 1988-1997

File Language:
English


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  • Alternative Title:
    NASS GES Analytical User¿s Manual, 1988-1997 ; National Accident Sampling System
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  • Abstract:
    One of the primary objectives of the National Highway Traffic Safety Administration (NHTSA) is ; to reduce the staggering human toll and property damage that motor vehicle traffic crashes impose ; on our society. Crashes each year result in thousands of lives lost, hundreds of thousands of injured ; victims, and billions of dollars in property damage. Good data are required to support the ; development, implementation, and assessment of highway safety programs aimed at reducing this ; toll. NHTSA uses data from many sources, including the National Automotive Sampling System ; General Estimates System (GES) which began operation in 1988. Providing data about all types of ; crashes involving all types of vehicles, the GES is used to identify highway safety problems areas, ; provide a basis for regulatory and consumer information initiatives, and form the basis for cost and ; benefit analyses of highway safety initiatives. ; The GES obtains its data from a nationally representative probability sample selected from the ; estimated 6.8 million police-reported crashes which occur annually. These crashes include those ; which result in a fatality or injury and those involving major property damage. Although various ; sources suggest that there are many more crashes that are not reported to the police, the majority of ; these unreported crashes involve only minor property damage and no significant personal injury. By ; restricting attention to police-reported crashes, the GES concentrates on those crashes of greatest ; concern to the highway safety community and the general public. ; This multi-year analytical user’s manual provides documentation on variables that are contained in ; the GES and other useful information that will enable the users to become familiar the data system.
  • Format:
    PDF
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  • File Type:
    Filetype[PDF - 436.85 KB]
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  • Main Document Checksum:
    urn:sha-512:6679d740c1e3cbc6ff1506f685ac97acc0dc9124d8f4dcc5d32d1687fa31478bb667dd6347ef7bbfe4359ed873021ce34389aa9b1350f438851885ee25b6818a
File Language:
English
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