데이터셋 상세
미국
2018-2020 NSDUH Substate Region Estimates - Tables
Substate estimates for these years are no longer available due to methodological concerns with combining 2020 data with data from 2018 and 2019. We apologize for any inconvenience or confusion this may cause.Because of the COVID-19 pandemic, most respondents answered the survey via the web in Quarter 4 of 2020, even though all responses in Quarter 1 were from in-person interviews. It is known that people may respond to the survey differently while taking it online, thus introducing what is called a mode effect.When the state estimates were released, it was assumed that the mode effect was similar for different groups of people. However, later analyses have shown that this assumption should not be made. Because of these analyses, along with concerns about the rapid societal changes in 2020, it was determined that averages across the three years could be misleading.For more detail on this decision, see the 2018-2020substate data page.
데이터 정보
연관 데이터
2018-2020 NSDUH Substate Region Estimates Categorized Into Seven Groups, By Age Group
공공데이터포털
Substate estimates for these years are no longer available due to methodological concerns with combining 2020 data with data from 2018 and 2019. We apologize for any inconvenience or confusion this may cause.Because of the COVID-19 pandemic, most respondents answered the survey via the web in Quarter 4 of 2020, even though all responses in Quarter 1 were from in-person interviews. It is known that people may respond to the survey differently while taking it online, thus introducing what is called a mode effect.When the state estimates were released, it was assumed that the mode effect was similar for different groups of people. However, later analyses have shown that this assumption should not be made. Because of these analyses, along with concerns about the rapid societal changes in 2020, it was determined that averages across the three years could be misleading.For more detail on this decision, see the 2018-2020substate data page.
2019-2020 National Survey on Drug Use and Health: Guide to State Tables and Summary of Small Area Estimation Methodology
공공데이터포털
State estimates for these years are no longer available due to methodological concerns with combining 2019 and 2020 data. We apologize for any inconvenience or confusion this may causeBecause of the COVID-19 pandemic, most respondents answered the survey via the web in Quarter 4 of 2020, even though all responses in Quarter 1 were from in-person interviews. It is known that people may respond to the survey differently while taking it online, thus introducing what is called a mode effect.When the state estimates were released, it was assumed that the mode effect was similar for different groups of people. However, later analyses have shown that this assumption should not be made. Because of these analyses, along with concerns about the rapid societal changes in 2020, it was determined that averages across the two years could be misleading.For more detail on this decision, see the 2019-2020state data page.
2014-2016 NSDUH Substate Region Shapefile
공공데이터포털
This report provides a guide to the development and presentation of 2014-2016 NSDUH substate estimates. A summary of the estimation methodology is included as well as sample sizes, response rates, and population estimates. This shapefile includes geographic boundaries of the 2014-2016 NSDUH substate regions along with prevalence rates, map group values, and the upper and lower bounds found in the map legends. It can be used for analysis and data display with Geographic Information Systems (GIS) software.
2008-2010 NSDUH Substate Region Shapefile
공공데이터포털
2008-2010 NSDUH Substate Region Shapefile
2016-2018 NSDUH Substate Region Estimates by Age Group
공공데이터포털
Tables of prevalence estimates for persons aged 12 to 17, 18 to 25, 26 or older, and aged 18 or older.
Texas: 2010-2012 NSDUH substate estimates
공공데이터포털
Texas: 2010-2012 NSDUH substate estimates
2010-2012 NSDUH Substate Region Definitions
공공데이터포털
This report discusses the substate region definitions and maps used in the 2010 to 2012 National Survey on Drug Use and Health (NSDUH) report that assesses past year alcohol use disorder and illicit drug use disorder among persons aged 12 or older by 362 substate regions within the 50 States and the District of Columbia.
2012-2014 NSDUH Substate Region Definitions
공공데이터포털
Tables and maps defining the substate regions for each state and the District of Columbia
2010-2012 NSDUH Substate Region Estimates Categorized into Seven Groups by Age Group
공공데이터포털
This table uses 2010 to 2012 National Survey on Drug Use and Health (NSDUH) to assess past year alcohol use disorder and illicit drug use disorder among persons aged 12 or older by 362 substate regions within the 50 States and the District of Columbia. Topics covered include past month substance use (e.g., illicit drugs, marijuana, cocaine, pain relievers, alcohol, tobacco), substance dependence, abuse, and treatment need, past year serious mental illness (SMI), any mental illness (AMI), suicidal thoughts, and major depressive episode (MDE). This report presents substate region estimates by age group differences. The scales in this report are a companion piece to the 2010-2012 National Surveys on Drug Use and Health: Substate Age Group Tables.
NSDUH 2020 Sample Experience Report
공공데이터포털
This report is a follow-up to the 2020 National Survey on Drug Use and Health (NSDUH)Sample Design Report. It further documents the 2020 NSDUH sample experiences by comparing expected outcomes with what actually occurred, and documenting unexpected issues that came up during the year. A summary of the sample design is included for context.Chapters:Introduces the report and summarizes the impact of the coronavirus 2019 (COVID-19) pandemic on sample design and data collection.Revisits the 2020 sample design.Documents the sample experiences at the third stage of sample selectionDocuments the sample experiences at the fourth stage of sample selectionDocuments the sample experiences at the fifth stage of sample selectionLooks at sampling error, through a computation of design effects and a comparison of observed and expected precisionExamines the Clinical Validation Study sample experience