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Substate Estimates of Substance Use and Mental Illness from the 2016-2018 NSDUH: Results and Detailed Tables

The National Survey on Drug Use and Health (NSDUH) is designed to provide substance use and mental illness estimates of the U.S. civilian, non-institutionalized population ages 12 years or older for 406 substate regions. These documents present U.S. substate estimates for 30 binary measures of substance use and mental illness based on combined 2016 to 2018 NSDUHs for individuals aged 12 or older (or adults 18 or older for the five mental health outcomes, and individuals aged 12 to 20 for underage alcohol use and underage binge alcohol use).

These estimates are based on a small area estimation (SAE) methodology in which substate-level NSDUH data are combined with county and census block group and tract-level data from the 50 states and the District of Columbia.

Methodology

The 2016-2018 NSDUH Overview and Summary of Substate Region Estimation Methodology includes:

  • estimation methodology
  • sample sizes
  • response rates
  • population estimates

Maps and Substate Definitions

The 2016-2018 NSDUH National Maps of Prevalence Estimates by Substate Region estimates for the substate regions ranked from lowest to highest for each measure and divided into seven categories.

The 2016-2018 NSDUH Substate Region Definitions include tables and maps defining the substate regions. A Guide to Merging Definitions is also available for merging with external data sources.

Estimates

Comparisons – short-term and long-term

A Comparison of 2014-2016 and 2016-2018 NSDUH Substate Region Estimates - tables showing comparisons of the 2014-2016 and 2016-2018 substate area estimates.

A Comparison of 2008-2010 and 2016-2018 NSDUH Substate Region Estimates - tables showing comparisons of the 2008-2010 and 2016-2018 substate area estimates.

Tables of p-values for within year comparisons across substate regions and a Guide to P-Value Tables are available.

Shapefile

The 2016-2018 NSDUH Substate Region Shapefile, which can be used for analysis and data display with GIS software, includes:

  • geographic boundaries
  • prevalence rates
  • map group values
  • the upper and lower bounds found in the map legends