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This report focuses on the editing and statistical imputation procedures that were applied to respondent data for the 2019 NSDUH. Logical editing uses data from elsewhere within the same respondent's record to reduce the occurrence of missing or ambiguous data or to resolve inconsistencies between related variables. Imputation is defined as...

Learn about ways that the 2019 National Survey on Drug Use and Health (NSDUH) is different from the previous year in its questionnaires, screeners, and interviewer materials. 

This report contains a brief review of the sampling weight calibration methodology used for the 2019 National Survey on Drug Use and Health (NSDUH). This report also lists detailed documentation on the implementation steps and evaluation results from the weight calibration application. The constrained exponential modeling (CEM) method used in the...

NSDUH allows for estimating characteristics at the person level, pair level, and household or QDU level. This report describes the weight calibration methods used for the pair- and QDU-level respondents. As described in the person-level report, NSDUH is an annual survey of about 67,500 people selected from the civilian, noninstitutionalized...

This report details the 2019 sample design for the NSDUH and covers the design overview, target population, and stages of sample selection. The design overview describes how the sample design remains consistent with NSDUH’s designs since 1991 and has extended coverage of the sample since then to include additional resident populations...

The goal of this report is to further document the 2019 NSDUH sample experiences, including a comparison of actual sample yields to state and quarter targets, a comparison of achieved and expected design effects (DEFFs) and relative standard errors, and documentation of any issue encountered during sample implementation. The 2019 sample design...

The focus of this report is to describe the statistical inference procedures used to produce design-based estimates as presented in the 2019 detailed tables and the 2019 FFR, which are based on restricted-use data.

These are the 2018-2019 state estimates - in thousands format. There are Excel, CSV, and PDF formats.

This document briefly describes one of these other data systems that publish state estimates and presents selected comparisons with NSDUH results: Behavioral Risk Factor Surveillance System (BRFSS) and Youth Risk Behavior Survey (YRBS).

Guide to using the p-value tables to compare substate estimates within and across states for 2018-2019.

P-value tables to compare substate estimates within and across states for 2018-2019.

This is a table of contents for the state-specific 2018-2019 estimates.  Just click on the link for each state to be taken to that state. 

These documents are either short term or long term comparisons between state-level estimates.

The Behavioral Health Barometer: United States, Volume 6: Indicators as measured through the 2019 National Survey on Drug Use and Health and the National Survey of Substance Abuse Treatment Services, is one of a series of national, regional, and state reports that provide a snapshot of substance use and mental...

Behavioral Health Barometer: State Barometers, Volume 6