2012-2014 NSDUH Substate Region Shapefile
Description and Downloading Instructions

This shapefile includes geographic boundaries of the 2012-2014 National Survey on Drug Use and Health (NSDUH) substate regions along with small area estimation (SAE) values (prevalence rates, the map group, and the upper and lower bounds found in the map legends) related to each substate region. It can be used for analysis and data display with Geographic Information Systems (GIS) software.

Shapefile Components

The shapefile includes the following components:

To access these shapefile components, download the components from this zip file.

Description of Shapefile Fields

The fields in the shapefile are as follows:

For each outcome, four variables are on the file:

  1. The 2012-2014 small area estimate value is noted by the outcome name (listed below).
  2. The map group for each outcome variable is shown with the outcome name followed by "_GP." Its values are 1,…,7, where 1 represents low prevalence and 7 represents high prevalence, except for the three perception of great risk variables, where 1 represents high prevalence and 7 represents low prevalence.
  3. The lower bound of the map group is shown with the outcome name followed by "_LO." If a substate region is in map group 3 for a particular outcome, the lower bound shown would be the lower bound given in the map legend for group 3.
  4. The upper bound of the map group is shown with the outcome name followed by "_UP." If a substate region is in map group 3, the upper bound shown would be the upper bound given in the map legend for group 3.

The 27 outcome variables, shown as "outcome name: outcome description (age group)," are as follows:

Shapefile Values for a Substate Region: An Example

As an example of an observation in the shapefile, Region 1 in Alabama would have the following values:

REG_FIP=Region 1_01, ST_FIPS=01, ST_NAME=Alabama, SR_NAME=Region 1, ST=AL, ABODALC=5.82, ABODALC_GP=3, ABODALC_LO=5.70, ABODALC_UP=6.28, …, RISKMJ=39.39, RISKMJ_GP=1, RISKMJ_LO=37.39, RISKMJ_UP=49.29

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