State Estimates of Substance Use and Mental Health from the
2005-2006 National Surveys on Drug Use and Health

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Appendix A: State Estimation Methodology

This report includes estimates of 23 substance use and mental health measures (see Section A.1) using the combined data from the 2005 and 2006 National Surveys on Drug Use and Health (NSDUHs). Also included in this report are estimates of change between 2004-2005 and 2005-2006 State estimates. As discussed in Chapter 1 (Section 1.1), several changes were introduced to the survey in 2002; thus, estimates for 2001 and prior years are not comparable with estimates from 2002 and later years.

The survey-weighted hierarchical Bayes (SWHB) methodology used in the production of State estimates from the 1999-2005 surveys also was used in the production of the 2005-2006 State estimates. The SWHB methodology is described in Appendix E of the 2001 State report (Wright, 2003b) and by Folsom, Shah, and Vaish (1999). The list of predictors used in the 2005-2006 small area estimation (SAE) modeling is given in Section A.2. No new variable selection was done for the 2005-2006 data (as discussed in Section A.3). The goals of SAE modeling, general model description, and the implementation of SAE modeling remain the same and are described in Appendix E of the 2001 State report (Wright, 2003b). At the end of this appendix, tables showing the 2004, 2005, 2006, pooled 2004-2005, and pooled 2005-2006 survey response rates are included (Table s A.1 to A.12).

Small area estimates obtained using the SWHB methodology are design consistent (i.e., for States with large sample sizes, the small area estimates are close to the robust design-based estimates). The State small area estimates when aggregated by using the appropriate population totals result in national small area estimates that are very close to the national design-based estimates. However, for numerous reasons (including internal consistency), it is desirable to have national small area estimates exactly match the national design-based estimates. Beginning in 2002, exact benchmarking was introduced as described in Section A.4. The definition and explanation of the formula used in estimating the marijuana incidence rate is given in Section A.5.

For all outcomes, the age groups for which estimates are provided in this report are 12 to 17, 18 to 25, and 26 or older. Estimates for those aged 12 or older also are provided in this report. Because it was determined that States may find estimates for 18 or older useful, estimates for that age group will be available on the web in the form of HTML tables (see http://oas.samhsa.gov/2k6State/toc.cfm).

Included in this report also are estimates of underage (aged 12 to 20) alcohol use and binge alcohol use. Alcohol consumption is expected to differ significantly across the 18 to 25 age group because of the legalization of alcohol at age 21. Therefore, it was decided that it would be useful to produce small area estimates for persons aged 12 to 20. A short description of the methodology used to produce underage drinking estimates is described in Section A.6.

Section A.7 discusses the criteria used to define dependence and abuse of illicit drugs and alcohol. Section A.8 discusses how the serious psychological distress (SPD) estimates were produced. Section A.9 discusses the production of major depressive episode (MDE) estimates. The methodology used to produce estimates of change between the 2004-2005 and the 2005-2006 State estimates is described in Section A.10.

A.1 Variables Modeled

The 2006 NSDUH data were pooled with the 2005 NSDUH data, and age group–specific State prevalence estimates for 23 binary (0, 1) outcome variables were produced and presented in this report. These estimates were produced for the following outcomes:

  1. past month use of illicit drugs,
  2. past year use of marijuana,
  3. past month use of marijuana,
  4. perception of great risk of smoking marijuana once a month,
  5. average annual rate of first use of marijuana,
  6. past month use of illicit drugs other than marijuana,
  7. past year use of cocaine,
  8. past year nonmedical use of pain relievers,
  9. past month use of alcohol,
  10. past month binge alcohol use,
  11. perception of great risk of having five or more drinks of an alcoholic beverage once or twice a week,
  12. past month use of tobacco products,
  13. past month use of cigarettes,
  14. perception of great risk of smoking one or more packs of cigarettes per day,
  15. past year alcohol dependence or abuse,
  16. past year alcohol dependence,
  17. past year illicit drug dependence or abuse,
  18. past year illicit drug dependence,
  19. past year dependence on or abuse of illicit drugs or alcohol,
  20. needing but not receiving treatment for illicit drug use in the past year,
  21. needing but not receiving treatment for alcohol use in the past year,
  22. past year serious psychological distress (SPD), and
  23. past year major depressive episode (MDE).

Estimates of change between the 2004-2005 and 2005-2006 State estimates were produced for all of these outcomes and are included in this report. Also included at the end of this appendix is a table listing all outcomes and the years for which small area estimates were produced going back to the 2002 and 2003 NSDUHs (Table  A.13).

A.2 Predictors Used in Mixed Logistic Regression Models

Local area data used as potential predictor variables in the mixed logistic regression models were obtained from several sources, including Claritas Inc., the U.S. Census Bureau, the Federal Bureau of Investigation (FBI) (Uniform Crime Reports), Health Resources and Services Administration (Area Resource File), the Bureau of Labor Statistics, the Bureau of Economic Analysis, the Substance Abuse and Mental Health Services Administration (SAMHSA) (National Survey of Substance Abuse Treatment Services [N-SSATS]), and the National Center for Health Statistics (mortality data). The values of these predictor variables are updated every year (when possible). Major sources and potential data items used in the modeling are provided in the following text and lists.

The following lists provide the specific independent variables that were potential predictors in the models.

Claritas Data
Description Level
% Population aged 0-19 in block group Block group
% Population aged 20-24 in block group Block group
% Population aged 25-34 in block group Block group
% Population aged 35-44 in block group Block group
% Population aged 45-54 in block group Block group
% Population aged 55-64 in block group Block group
% Population aged 65+ in block group Block group
% Blacks in block group Block group
% Hispanics in block group Block group
% Other race in block group Block group
% Whites in block group Block group
% Males in block group Block group
% Females in block group Block group
% American Indian, Eskimo, Aleut in tract Tract
% Asian, Pacific Islander in tract Tract
% Population aged 0-19 in tract Tract
% Population aged 20-24 in tract Tract
% Population aged 25-34 in tract Tract
% Population aged 35-44 in tract Tract
% Population aged 45-54 in tract Tract
% Population aged 55-64 in tract Tract
% Population aged 65+ in tract Tract
% Blacks in tract Tract
% Hispanics in tract Tract
% Other race in tract Tract
% Whites in tract Tract
% Males in tract Tract
% Females in tract Tract
% Population aged 0-19 in county County
% Population aged 20-24 in county County
% Population aged 25-34 in county County
% Population aged 35-44 in county County
% Population aged 45-54 in county County
% Population aged 55-64 in county County
% Population aged 65+ in county County
% Blacks in county County
% Hispanics in county County
% Other race in county County
% Whites in county County
% Males in county County
% Females in county County

2000 Census Data
Description Level
% Population who dropped out of high school Tract
% Housing units built in 1940-1949 Tract
% Persons aged 16-64 with a work disability Tract
% Hispanics who are Cuban Tract
% Females 16 years or older in labor force Tract
% Females never married Tract
% Females separated/divorced/widowed/other Tract
% One-person households Tract
% Female head of household, no spouse, child #18 Tract
% Males 16 years or older in labor force Tract
% Males never married Tract
% Males separated/divorced/widowed/other Tract
% Housing units built in 1939 or earlier Tract
Average persons per room Tract
% Families below poverty level Tract
% Households with public assistance income Tract
% Housing units rented Tract
% Population with 9-12 years of school, no high school diploma Tract
% Population with 0-8 years of school Tract
% Population with associate's degree Tract
% Population with some college and no degree Tract
% Population with bachelor's, graduate, professional degree Tract
Median rents for rental units Tract
Median value of owner-occupied housing units Tract
Median household income Tract

Uniform Crime Report Data
Description Level
Drug possession arrest rate County
Drug sale/manufacture arrest rate County
Drug violations' arrest rate County
Marijuana possession arrest rate County
Marijuana sale/manufacture arrest rate County
Opium cocaine possession arrest rate County
Opium cocaine sale/manufacture arrest rate County
Other drug possession arrest rate County
Other dangerous non-narcotics arrest rate County
Serious crime arrest rate County
Violent crime arrest rate County
Driving under influence arrest rate County

Other Categorical Data
Description Source Level
=1 if Hispanic, =0 otherwise NSDUH sample Person
=1 if non-Hispanic black, =0 otherwise NSDUH sample Person
=1 if non-Hispanic other, =0 otherwise NSDUH sample Person
NSDUH sample NSDUH sample Person
=1 if male, =0 if female NSDUH sample Person
=1 if MSA with 1 million +, =0 otherwise 2000 Census County
=1 if MSA with <1 million, =0 otherwise 2000 Census County
=1 if non-MSA urban, =0 otherwise 2000 Census Tract
=1 if urban area, =0 if rural area 2000 Census Tract
=1 if no Cubans in tract, =0 otherwise 2000 Census Tract
=1 if no arrests for dangerous non-narcotics,
=0 otherwise
UCR County

Miscellaneous Data
Variable Description Source Level
Alcohol death rate, underlying cause NCHS-ICD-10 County
Cigarettes death rate, underlying cause NCHS-ICD-10 County
Drug death rate, underlying cause NCHS-ICD-10 County
Alcohol treatment rate N-SSATS (formerly called UFDS) County
Alcohol and drug treatment rate N-SSATS (formerly called UFDS) County
Drug treatment rate N-SSATS (formerly called UFDS) County
% Families below poverty level ARF County
Unemployment rate BLS County
Per capita income (in thousands) BEA County
Average suicide rate (per 10,000) NCHS-ICD-10 County
Food stamp participation rate Census Bureau County
Single State agency maintenance of effort National Association of State Alcohol and Drug Abuse Directors (NASADAD) State
Block grant awards SAMHSA State
Cost of Services Factor Index SAMHSA State
Total Taxable Resources Per Capita Index U.S. Department of Treasury State

A.3 Selection of Independent Variables for the Models

No new variable selection was done for any outcome variables in 2005-2006. The updated versions of fixed-effect predictors that were used in modeling the 2004-2005 data were used to model the 2005-2006 data. Because the interest was to estimate change between the 2004-2005 and 2005-2006 State estimates, the same set of fixed-effect predictors was used for producing both sets of estimates.

A.4 Benchmarking the Age Group–Specific Small Area Estimates

The self-calibration built into the SWHB solution ensures that the population-weighted average of the State small area estimates will closely match the national design-based estimates. Given the self-calibration ensured by the SWHB solution, for State reports prior to 2002, the standard Bayes prescription was followed; specifically, the posterior mean was used for the SAE point estimate, and the tail percentiles of the posterior distribution were used for the prediction interval (PI) limits.

Singh and Folsom (2001) extended Ghosh's (1992) results on constrained Bayes estimation to include exact benchmarking to design-based national estimates. In the simplest version of this constrained Bayes solution where only the design-based mean is imposed as a benchmarking constraint, each of the State-by-age group small area estimates (for 2005-2006) is adjusted by adding the common factor Δa = (Da - Pa), where Da is the design-based national prevalence estimate and Pa is the population-weighted mean of the State small area estimates (Psa) for age group-a. The exactly benchmarked State-s and age group-a small area estimates then are given by Θsa = Psa + Δa. Experience with such additive adjustments suggests that the resulting exactly benchmarked State small area estimates will always be between 0 and 100 percent because the SWHB self-calibration ensures that the adjustment factor is small relative to the size of the State-level small area estimates.

Relative to the Bayes posterior mean, these benchmark-constrained State small area estimates are biased by the common additive adjustment factor. Therefore, the posterior mean-squared error for each benchmarked State small area estimate has the square of this adjustment factor added to its posterior variance. To achieve the desirable feature of exact benchmarking, this constrained Bayes adjustment factor was implemented for the State-by-age group small area estimates. The associated credible intervals can be recentered at the benchmarked small area estimates on the logit scale with the symmetric interval end points based on the posterior root mean-squared errors. The adjusted 95 percent PIs (Lowersa, Uppersa) are defined below:

Lowersa = exp(Lsa)/[1 + exp(Lsa)] and Uppersa = exp(Usa)/[1 + exp(Usa)],

where

Lsa = log[Θsa/(1 - Θsa)] - 1.96 * image representing the square root of MSE sub s and a,

Usa = log[Θsa/(1 - Θsa)] + 1.96 * image representing the square root of MSE sub s and a, and

MSEsa = (log[Psa/(1 - Psa)]- log[Θsa/(1 - Θsa)])2 + posterior variance of log[Psa/(1 - Psa)].

The associated posterior coverage probabilities for these benchmarked intervals are very close to the prescribed 0.95 value because the State small area estimates have posterior distributions that can be approximated exceptionally well by a Gaussian distribution.

A.5 Calculation of Average Annual Incidence of Marijuana Use

Incidence rates typically are calculated as the number of new initiates of a substance during a period of time (such as in the past year) divided by an estimate of the number of person years of exposure (in thousands). The incidence definition used in this report employs a simpler form of the at-risk population based on the model-based methodology. This model-based average annual incidence rate is defined as follows:

Average annual rate = 100*{[X1 ÷ (0.5 * X1 + X2)] ÷ 2},

where X1 is the number of marijuana initiates in the past 24 months and X2 is the number of persons who never used marijuana.

In this report, the incidence rate is expressed as a percentage or rate per 100 person years of exposure. Note that this estimate uses a 2-year time period to accumulate incidence cases from each annual survey. By assuming further that the distribution of first use for the incidence cases is uniform across the 2-year interval, the total number of person years of exposure is 1 year on average for the incidence cases plus 2 years for all the "never users" at the end of the time period. This approximation to the person years of exposure permits one to recast the incidence rate as a function of two population prevalence rates, namely, the fraction of persons who first used marijuana in the past 2 years and the fraction who had never used marijuana. Both of these prevalence estimates were estimated using the SWHB estimation approach.

The count of persons who first used marijuana in the past 2 years is based on a "moving" 2-year period that ranges over 3 calendar years. Subjects were asked when they first used marijuana. If a person indicated first use of marijuana between the day of the interview and 2 years prior, the person was included in the count. Thus, it is possible for a person interviewed in the first part of 2006 to indicate first use as early as the first part of 2004 or as late as the first part of 2006. Similarly, a subject interviewed in the last part of 2006 could indicate first use as early as the last part of 2004 or as late as the last part of 2006. Therefore, in the 2006 survey, the reported period of first use ranged from early 2004 to late 2006 and was "centered" in 2005. About half of the 12 to 17 year olds who reported first use in the past 24 months reported first use in 2005, while a quarter each reported first use in 2004 and 2006. Persons who responded in 2006 that they had never used marijuana were included in the count of "never used." Similarly, reports of first use in past 24 months from the 2005 survey ranged from early 2003 to late 2005 and were centered in 2004. Half of the 12 to 17 year olds who reported first use in the past 24 months reported first use in 2004, while a quarter each reported first use in 2003 and 2005. Note that only incidence rates for marijuana use are provided in this report.

A.6 Underage Drinking

To obtain small area estimates for persons aged 12 to 20 for past month alcohol and binge alcohol use, a separate set of models was fit for these two outcomes for the 12 to 17 age group and the 18 to 20 age group. For the 2005-2006 models, no new variable selection was done. Updated versions of the predictors were used to produce the small area estimates.

Model-based estimates for persons aged 12 to 20 were produced by taking the population-weighted average of the individual age group (12 to 17 and 18 to 20) estimates. Estimates for underage drinking for past month alcohol and binge alcohol use were benchmarked to match national design-based estimates for that age group using the process described in Section A.4. Estimates of change between the 2004-2005 and 2005-2006 estimates for underage drinking in the States also are presented in this report.

A.7 Illicit Drug and Alcohol Dependence and Abuse

The NSDUH computer-assisted interviewing (CAI) instrumentation includes questions that are designed to measure dependence on and abuse of illicit drugs and alcohol. For these substances,8 dependence and abuse questions were based on the criteria in the DSM-IV (APA, 1994).

Specifically, for marijuana, hallucinogens, inhalants, and tranquilizers, a respondent was defined as having dependence if he or she met three or more of the following six dependence criteria:

  1. Spent a great deal of time over a period of a month getting, using, or getting over the effects of the substance.
  2. Used the substance more often than intended or was unable to keep set limits on the substance use.
  3. Needed to use the substance more than before to get desired effects or noticed that the same amount of substance use had less effect than before.
  4. Inability to cut down or stop using the substance every time tried or wanted to.
  5. Continued to use the substance even though it was causing problems with emotions, nerves, mental health, or physical problems.
  6. The substance use reduced or eliminated involvement or participation in important activities.

For alcohol, cocaine, heroin, pain relievers, sedatives, and stimulants, a seventh withdrawal criterion was added. A respondent was defined as having dependence if he or she met three or more of seven dependence criteria. The seventh withdrawal criterion is defined by a respondent reporting having experienced a certain number of withdrawal symptoms that vary by substance (e.g., having trouble sleeping, cramps, hands tremble).

For each illicit drug and alcohol, a respondent was defined as having abused that substance if he or she met one or more of the following four abuse criteria and was determined not to be dependent on the respective substance in the past year:

  1. Serious problems at home, work, or school caused by the substance, such as neglecting your children, missing work or school, doing a poor job at work or school, or losing a job or dropping out of school.
  2. Used the substance regularly and then did something that might have put you in physical danger.
  3. Use of the substance caused you to do things that repeatedly got you in trouble with the law.
  4. Had problems with family or friends that were probably caused by using the substance and continued to use the substance even though you thought the substance use caused these problems.

For additional details on how respondents were classified as being dependent on or having abused illicit drugs and alcohol, see Section B.4.3 in Appendix B of the 2006 NSDUH's national results report (OAS, 2007, pp. 125-127).

A.8 Serious Psychological Distress

In 2005 and 2006, serious psychological distress (SPD) was measured using the "short-form" module consisting only of the K6 screening instrument for nonspecific psychological distress (Kessler et al., 2003). In the 2004 NSDUH, however, the sample of respondents aged 18 or older was split evenly between the "long-form" module, which included all items in the mental health module used in the 2003 NSDUH (sample A) and a "short-form" module consisting only of the K6 items (sample B). For more details on how SPD was measured in the 2004 or earlier NSDUHs and how State estimates for SPD were produced using the pooled 2003-2004 NSDUH data, see Wright and Sathe (2006).

To produce the pooled 2004-2005 SPD estimates, the 2004 sample A "long-form" scores were transformed to match the distributional characteristics of the 2004 sample B "short-form" scores using the cumulative distribution function (CDF) adjustment method described by Wright and Sathe (2006). These adjusted 2004 sample A scores were used in conjunction with the 2004 sample B "short-form" scores and the 2005 "short-form" SPD scores to produce the 2004-2005 SPD estimates (Wright, Sathe, & Spagnola, 2007).

To produce the pooled 2005-2006 SPD estimates, data from both years (2005 and 2006) were combined. No transformations were required because both the survey years used the same K6 scale for getting information on SPD. Estimates of change between the 2004-2005 and the 2005-2006 small area estimates also are presented in this report.

A.9 Major Depressive Episode

Beginning in 2004, a module was included in the questionnaire that was related to having a major depressive episode (MDE); it was derived from the criteria specified for major depression in the DSM-IV (APA, 1994). These questions permit estimates to be calculated for lifetime and past year prevalence of MDE, treatment for MDE, and role impairment resulting from MDE. In this report, estimates of having at least one MDE in the past year are reported.

In 2004, a split-sample design was implemented where adults aged 18 or older in half of the sample (sample B) received the depression module, while adult respondents in the other half (sample A) did not. All youths aged 12 to 17 were administered the adolescent depression module. In 2005 and 2006, however, all adult and adolescent respondents were administered their respective depression modules. Due to minor wording differences in the questions in the adult and adolescent MDE modules, data from youths aged 12 to 17 were not combined with data from persons aged 18 or older to get an overall estimate for those aged 12 or older. Instead, an estimate for those aged 18 or older was produced. To produce the pooled 2004-2005 MDE estimates, the 2005 MDE data were pooled with the 2004 sample B MDE data. Because the 2004 sample A was not used in the estimation process, the 2004 sample B weights were properly adjusted to account for the missing 2004 sample A MDE data (Wright et al., 2007). To produce the pooled 2005-2006 MDE estimates, the 2005 MDE data were pooled with the 2006 MDE data. Estimates of change between 2004-2005 and 2005-2006 MDE small area estimates also are included for the first time in this report.

According to DSM-IV, a person is defined as having had MDE in his or her lifetime if he or she has had at least five or more of the following nine symptoms nearly every day in the same 2-week period, where at least one of the symptoms is a depressed mood or loss of interest or pleasure in daily activities (APA, 1994): (1) depressed mood most of the day; (2) markedly diminished interest or pleasure in all or almost all activities most of the day; (3) significant weight loss when not sick or dieting, or weight gain when not pregnant or growing, or decrease or increase in appetite; (4) insomnia or hypersomnia; (5) psychomotor agitation or retardation; (6) fatigue or loss of energy; (7) feelings of worthlessness; (8) diminished ability to think or concentrate or indecisiveness; and (9) recurrent thoughts of death or suicidal ideation.

For details on the adult and adolescent modules for MDE, see Section B.4.5 in Appendix B of the 2006 NSDUH's national results report (OAS, 2007, pp. 129-131).

A.10 Measuring Change in State Estimates between 2004-2005 and 2005-2006

The estimates of change between State small area estimates displayed in Appendix C are based on the 2004 through 2006 NSDUHs. The State estimates for 2004-2005 are the previously published model-based small area estimates (Wright et al., 2007). The State estimates for 2005-2006 are the small area estimates given in Appendix B. The moving average State prevalence estimates for the overlapping 2004-2005 and 2005-2006 time periods were obtained from independent applications of RTI's SWHB methodology; that is, the 2005-2006 models were fit independently of the previously fitted 2004-2005 models. This independent analysis approach was followed because there was no desire to revise the previously published 2004-2005 estimates. Moreover, the same fixed predictor variables were used in the 2004-2005 and 2005-2006 models, but annual updates were made when more current versions became available. The age group–specific fixed predictor variables were defined at five levels (namely, person-level, census block group-level, tract-level, county-level, and State-level). Also, each age group model had 51 State-level random effects and 300 "within-State" area-level random effects.

To estimate change in State estimates, let πsa(1) and πsa(2) denote 2004-2005 and 2005-2006 prevalence rates, respectively, for State-s and age group-a. The change between πsa(1) and πsa(2) is defined in terms of the log-odds ratio (lorsa) as opposed to the simple difference because the posterior distribution of the lorsa is closer to Gaussian than the posterior distribution of the simple difference (πsa(2) – πsa(1)). The lorsa is defined as

Equation A-2.     D

The p value given in the Appendix C tables is computed to test the null hypothesis of no change (i.e., πsa(2) = πsa(1) or equivalently lorsa = 0). An estimate of lorsa is given by

Equation A-3     D

where the psa(1) are previously published 2004-2005 State estimates and the psa(2) are the 2005-2006 State estimates presented in this report (see Appendix B). To compute the variance of The estimate of the log-odds ratio, lor hat, sub s and a, i.e., Variance v of the estimate of the log-odds ratio, lor hat, sub s and a let Theta 1 hat is defined as the ratio of p 1 sub s and a and 1 minus p 1 sub s and a and Theta 2 hat is defined as the ratio of p 2 sub s and a and 1 minus p 2 sub s and a, then

Equation A-8,     D

where covariance between the logarithm of Theta 1 hat and the logarithm of Theta 2 hat denotes the covariance between image represents the logarithm of Theta 1 hat and image represents the logarithm of Theta 2 hat. This covariance is defined in terms of the associated correlation as follows:

Equation A-10.     D

Note that the variance of the logarithm of Theta 1 hat and variance of the logarithm of Theta 2 hat used here to calculate Variance v of the estimate of the log-odds ratio, lor hat, sub s and a are the same variances used in calculating the previously published 2004-2005 prediction intervals (PIs) and the 2005-2006 PIs given in this report, respectively.

The correlation between image represents the logarithm of Theta 1 hat and image represents the logarithm of Theta 2 hat was obtained by simultaneously modeling the 2004, 2005, and 2006 NSDUH data. This simultaneous modeling approach was adopted based on the results of the validation study (see Appendix E, Section E.2, of Wright, 2003b) conducted for measuring change in 1999-2000 and 2000-2001 State estimates. For this simultaneous model, four age groups by 3 years (i.e., 12 subpopulation-specific models) were fitted, each with its own set of fixed and random effects. In this case, the general covariance matrices for the State and within-State random effects were 12 by 12 matrices corresponding to the 12 element (age group by year) vectors of random effects. Note that the survey-weighted Bernoulli-type log likelihood employed in SWHB methodology was appropriate for this simultaneous model because the 12 age group by year subpopulations were nonoverlapping. The correlation [image represents the logarithm of Theta 1 hat, image represents the logarithm of Theta 2 hat] was approximated by the correlation calculated using the posterior distributions of log[πsa(1) / (1 – πsa(1))] and log[πsa(2) / (1 – πsa(2))] from the simultaneous model.

To calculate the p value for testing the null hypothesis of no difference (lor = 0), it is assumed that the posterior distribution of lor is normal with Mean is equal to estimate of the log-odds ratio, lor hat, sub s and a and Variance is equal to variance v of the estimate of the log-odds ratio, lor hat, sub s and a. With the null value of lor = 0, the Bayes p value or posterior probability of no difference is p value = 2*P [Zabs(z)], where Z is a standard normal random variate, Quantity z is the estimate of the log-odds ratio, lor hat, sub s and a, divided by the square room of the variance v of the estimate of the log-odds ratio, lor hat, sub s and a, and abs(z) denotes the absolute value of z.

Table A.1 Sample Sizes, Weighted Screening and Interview Response Rates, and Population Estimates, by State, for Persons Aged 12 or Older: 2004
State Total Selected DUs Total Eligible DUs Total Completed Screeners Weighted DU Screening Response Rate Total Selected Total Responded Population Estimate Weighted Interview Response Rate Weighted Overall Response Rate
DU = dwelling unit.
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2004.
Total U.S. 169,514 142,612 130,130 90.92% 81,973 67,760 240,514,815 77.00% 70.01%
Northeast 37,347 31,454 27,750 86.79% 16,674 13,523 45,497,345 75.14% 65.21%
Midwest 46,219 39,482 36,137 91.61% 22,920 18,889 54,211,630 77.63% 71.12%
South 52,946 43,682 40,257 92.40% 24,820 20,807 86,141,190 78.65% 72.67%
West 33,002 27,994 25,986 91.42% 17,559 14,541 54,664,650 75.38% 68.91%
                   
Alabama 1,991 1,611 1,477 91.72% 1,055 880 3,740,924 74.76% 68.57%
Alaska 1,902 1,525 1,399 91.61% 1,078 894 511,059 79.21% 72.57%
Arizona 2,226 1,858 1,750 94.21% 1,119 903 4,616,821 77.92% 73.41%
Arkansas 2,369 1,933 1,833 94.83% 1,062 900 2,259,150 80.09% 75.95%
California 7,911 6,957 6,192 88.60% 4,631 3,725 29,016,735 72.88% 64.57%
Colorado 2,207 1,822 1,712 93.92% 1,135 934 3,735,710 77.90% 73.17%
Connecticut 2,493 2,209 2,013 90.99% 1,098 897 2,901,872 75.85% 69.02%
Delaware 2,253 1,954 1,794 91.90% 1,144 932 688,666 77.70% 71.41%
District of Columbia 3,155 2,606 2,242 86.24% 1,041 903 466,433 82.55% 71.19%
Florida 10,456 8,488 7,581 88.99% 4,526 3,662 14,478,448 73.89% 65.75%
Georgia 2,141 1,752 1,597 91.32% 1,054 890 7,063,198 80.38% 73.41%
Hawaii 1,959 1,715 1,575 91.94% 1,088 903 1,014,184 77.42% 71.18%
Idaho 2,015 1,704 1,607 94.31% 1,051 902 1,125,089 82.42% 77.74%
Illinois 8,457 7,458 6,342 85.01% 4,444 3,575 10,387,581 75.12% 63.86%
Indiana 2,176 1,833 1,742 95.05% 1,085 891 5,098,367 77.64% 73.79%
Iowa 1,990 1,745 1,641 94.14% 1,039 890 2,468,073 81.10% 76.35%
Kansas 2,294 1,953 1,841 94.22% 993 828 2,226,734 78.58% 74.04%
Kentucky 2,372 2,059 1,949 94.67% 1,144 933 3,421,489 73.82% 69.88%
Louisiana 2,106 1,713 1,614 94.17% 1,082 933 3,646,863 81.16% 76.43%
Maine 2,731 2,168 2,025 93.40% 1,064 896 1,127,062 81.46% 76.08%
Maryland 2,122 1,855 1,617 86.77% 1,039 901 4,557,984 81.39% 70.63%
Massachusetts 2,218 1,895 1,686 89.13% 1,087 877 5,380,703 76.92% 68.56%
Michigan 9,530 7,969 7,155 89.78% 4,490 3,670 8,364,197 75.61% 67.88%
Minnesota 2,001 1,714 1,578 91.98% 1,066 907 4,237,627 83.72% 77.00%
Mississippi 1,931 1,549 1,482 95.71% 1,053 914 2,341,802 80.45% 77.00%
Missouri 2,190 1,872 1,764 94.23% 1,104 897 4,751,346 77.96% 73.46%
Montana 2,511 1,990 1,874 94.18% 1,080 907 781,536 79.58% 74.95%
Nebraska 2,044 1,729 1,629 94.21% 1,072 897 1,430,465 80.70% 76.03%
Nevada 1,903 1,641 1,552 93.71% 1,053 888 1,898,843 78.32% 73.39%
New Hampshire 2,348 1,908 1,765 92.38% 1,114 904 1,095,589 76.40% 70.58%
New Jersey 2,764 2,359 2,033 85.50% 1,153 886 7,172,774 72.04% 61.60%
New Mexico 2,190 1,799 1,719 95.54% 1,072 922 1,552,672 80.98% 77.37%
New York 10,475 8,940 7,372 82.28% 4,585 3,638 15,978,304 73.79% 60.72%
North Carolina 2,185 1,733 1,635 94.33% 1,029 869 6,927,805 79.39% 74.89%
North Dakota 2,576 2,128 2,020 94.95% 1,071 911 530,030 81.21% 77.11%
Ohio 8,599 7,463 7,026 94.14% 4,404 3,613 9,489,788 76.91% 72.40%
Oklahoma 2,382 1,889 1,769 93.71% 1,054 867 2,867,524 76.21% 71.42%
Oregon 2,234 1,931 1,825 94.50% 1,108 910 3,001,872 76.30% 72.10%
Pennsylvania 9,599 8,236 7,448 90.44% 4,360 3,590 10,399,693 77.05% 69.68%
Rhode Island 2,030 1,785 1,588 89.11% 1,126 911 907,154 76.31% 68.00%
South Carolina 2,392 1,946 1,844 94.73% 1,042 885 3,437,860 81.78% 77.47%
South Dakota 2,024 1,674 1,594 95.24% 1,034 893 630,156 82.20% 78.30%
Tennessee 2,387 2,049 1,933 94.37% 1,023 896 4,888,070 85.51% 80.70%
Texas 7,923 6,599 6,254 94.72% 4,334 3,631 17,783,855 79.21% 75.03%
Utah 1,718 1,464 1,389 94.70% 1,040 910 1,851,896 83.73% 79.28%
Vermont 2,689 1,954 1,820 93.02% 1,087 924 534,195 81.75% 76.04%
Virginia 2,060 1,773 1,587 89.40% 1,080 902 6,027,395 79.88% 71.41%
Washington 1,998 1,769 1,677 94.81% 1,086 886 5,134,850 75.97% 72.03%
West Virginia 2,721 2,173 2,049 94.31% 1,058 909 1,543,726 79.17% 74.67%
Wisconsin 2,338 1,944 1,805 92.86% 1,118 917 4,597,266 77.89% 72.33%
Wyoming 2,228 1,819 1,715 94.28% 1,018 857 423,382 81.54% 76.88%
Table A.2 Sample Sizes, Weighted Interview Response Rates, and Population Estimates, by State and Three Age Groups: 2004
State 12-17 18-25 26+
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2004.
Total U.S. 25,141 22,309 25,214,390 88.56% 27,408 23,075 32,193,946 83.87% 29,424 22,376 183,106,479 74.22%
Northeast 4,999 4,363 4,536,148 86.58% 5,543 4,579 5,684,244 81.81% 6,132 4,581 35,276,953 72.67%
Midwest 7,147 6,311 5,681,355 87.55% 7,635 6,397 7,441,099 83.46% 8,138 6,181 41,089,176 75.22%
South 7,611 6,822 9,000,856 89.90% 8,328 7,134 11,537,980 85.58% 8,881 6,851 65,602,354 75.87%
West 5,384 4,813 5,996,031 89.01% 5,902 4,965 7,530,623 83.19% 6,273 4,763 41,137,996 72.01%
                         
Alabama 335 300 380,438 88.15% 317 277 506,024 87.42% 403 303 2,854,462 70.97%
Alaska 343 301 68,234 87.37% 376 308 71,635 80.38% 359 285 371,190 77.66%
Arizona 355 307 504,134 86.71% 356 280 632,441 79.72% 408 316 3,480,247 76.36%
Arkansas 336 301 232,624 89.62% 372 312 309,270 83.12% 354 287 1,717,256 78.00%
California 1,408 1,251 3,256,862 88.81% 1,523 1,259 3,971,071 82.89% 1,700 1,215 21,788,802 68.82%
Colorado 339 309 392,567 92.63% 435 358 502,509 81.78% 361 267 2,840,634 75.05%
Connecticut 351 310 297,475 88.74% 341 290 340,627 82.95% 406 297 2,263,770 72.90%
Delaware 344 296 67,017 86.70% 402 330 91,920 81.90% 398 306 529,729 75.84%
District of Columbia 324 291 33,936 90.50% 369 328 67,513 88.13% 348 284 364,984 80.63%
Florida 1,422 1,248 1,392,381 88.13% 1,426 1,197 1,690,586 83.29% 1,678 1,217 11,395,480 70.76%
Georgia 310 281 770,391 90.24% 384 325 974,428 85.42% 360 284 5,318,379 77.85%
Hawaii 314 290 100,117 92.32% 374 313 121,874 84.55% 400 300 792,193 74.27%
Idaho 310 279 127,641 90.53% 362 318 170,720 87.99% 379 305 826,729 80.03%
Illinois 1,316 1,166 1,096,436 89.10% 1,483 1,214 1,405,081 81.40% 1,645 1,195 7,886,063 72.15%
Indiana 339 284 547,820 80.66% 370 321 712,431 87.14% 376 286 3,838,117 75.51%
Iowa 354 319 241,677 90.80% 322 283 354,834 89.24% 363 288 1,871,562 78.38%
Kansas 309 279 235,602 90.08% 331 278 326,635 84.04% 353 271 1,664,497 75.58%
Kentucky 338 297 336,208 88.01% 379 324 454,337 85.35% 427 312 2,630,944 70.36%
Louisiana 315 288 401,563 91.61% 384 345 546,374 89.71% 383 300 2,698,926 77.88%
Maine 325 292 109,324 88.79% 378 310 136,314 82.23% 361 294 881,424 80.39%
Maryland 331 311 490,535 94.06% 350 299 564,517 86.07% 358 291 3,502,932 78.60%
Massachusetts 320 280 511,108 87.59% 372 304 678,194 81.46% 395 293 4,191,401 74.97%
Michigan 1,441 1,273 906,283 88.40% 1,503 1,266 1,113,043 83.80% 1,546 1,131 6,344,871 72.25%
Minnesota 346 305 440,475 87.61% 333 280 594,051 85.11% 387 322 3,203,101 82.96%
Mississippi 292 276 255,992 94.84% 415 367 350,329 88.32% 346 271 1,735,480 76.64%
Missouri 349 296 488,189 84.08% 355 293 650,694 81.04% 400 308 3,612,463 76.59%
Montana 320 277 78,581 87.14% 373 324 108,216 85.88% 387 306 594,739 77.30%
Nebraska 266 236 149,210 88.31% 413 342 210,327 82.97% 393 319 1,070,927 79.27%
Nevada 307 281 197,330 89.52% 356 307 234,194 87.69% 390 300 1,467,319 75.18%
New Hampshire 340 292 115,175 86.06% 335 285 136,081 83.41% 439 327 844,334 74.06%
New Jersey 308 265 741,001 83.21% 393 297 825,494 76.88% 452 324 5,606,279 70.03%
New Mexico 341 315 173,978 91.56% 333 296 222,316 88.48% 398 311 1,156,379 77.93%
New York 1,345 1,144 1,583,424 85.11% 1,564 1,275 2,048,409 81.31% 1,676 1,219 12,346,471 71.15%
North Carolina 336 307 710,225 91.75% 338 285 893,651 84.47% 355 277 5,323,929 76.67%
North Dakota 350 314 51,236 89.71% 368 315 83,256 84.18% 353 282 395,539 79.50%
Ohio 1,418 1,243 982,106 87.60% 1,428 1,186 1,258,053 83.17% 1,558 1,184 7,249,629 74.37%
Oklahoma 325 288 293,667 89.22% 386 324 417,990 85.22% 343 255 2,155,867 72.18%
Oregon 349 311 297,975 88.86% 365 309 394,016 85.49% 394 290 2,309,881 72.97%
Pennsylvania 1,314 1,177 1,037,595 89.81% 1,433 1,197 1,321,982 84.56% 1,613 1,216 8,040,116 74.30%
Rhode Island 342 285 87,882 85.57% 377 326 127,105 86.38% 407 300 692,166 73.19%
South Carolina 349 307 357,948 87.80% 292 258 463,134 89.41% 401 320 2,616,779 79.59%
South Dakota 277 257 67,385 91.02% 387 346 94,182 89.49% 370 290 468,590 79.79%
Tennessee 295 273 476,738 91.61% 341 298 640,352 88.72% 387 325 3,770,980 84.21%
Texas 1,350 1,205 2,044,166 89.33% 1,444 1,236 2,607,359 85.92% 1,540 1,190 13,132,330 76.31%
Utah 348 324 227,860 93.80% 343 301 354,811 86.85% 349 285 1,269,225 80.91%
Vermont 354 318 53,165 89.86% 350 295 70,039 87.11% 383 311 410,991 79.80%
Virginia 296 268 619,572 89.10% 374 310 765,684 80.74% 410 324 4,642,140 78.68%
Washington 345 301 527,781 86.17% 378 311 685,109 80.79% 363 274 3,921,960 73.76%
West Virginia 313 285 137,455 91.56% 355 319 194,513 90.54% 390 305 1,211,758 76.03%
Wisconsin 382 339 474,936 89.82% 342 273 638,512 80.49% 394 305 3,483,818 75.77%
Wyoming 305 267 42,970 89.29% 328 281 61,714 86.59% 385 309 318,699 79.61%
Table A.3 Sample Sizes, Weighted Screening and Interview Response Rates, and Population Estimates, by State, for Persons Aged 12 or Older: 2005
State Total Selected DUs Total Eligible DUs Total Completed Screeners Weighted DU Screening Response Rate Total Selected Total Responded Population Estimate Weighted Interview Response Rate Weighted Overall Response Rate
DU = dwelling unit.
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2005.
Total U.S. 175,958 146,912 134,055 91.33% 83,805 68,308 243220283 76.19% 69.58%
Northeast 38,755 32,817 28,810 86.72% 16,994 13,711 45630823 73.66% 63.88%
Midwest 47,200 40,222 36,706 91.59% 23,542 19,154 54524718 76.42% 69.99%
South 55,686 45,138 41,691 92.62% 25,411 20,818 87601607 77.16% 71.47%
West 34,317 28,735 26,848 92.91% 17,858 14,625 55463137 76.42% 71.01%
                   
Alabama 2,320 1,779 1,653 93.00% 1,118 914 3773741 77.10% 71.70%
Alaska 2,245 1,717 1,592 92.71% 1,137 921 519047 75.22% 69.74%
Arizona 1,945 1,609 1,518 94.18% 1,112 908 4791433 78.75% 74.16%
Arkansas 2,194 1,854 1,753 94.54% 1,040 851 2285001 77.70% 73.45%
California 7,672 6,875 6,297 91.57% 4,633 3,699 29214010 75.57% 69.20%
Colorado 2,333 1,951 1,839 94.26% 1,110 895 3793427 75.30% 70.97%
Connecticut 2,602 2,250 2,042 90.77% 1,201 978 2915935 77.45% 70.31%
Delaware 2,473 1,994 1,824 91.53% 1,160 942 700649 76.05% 69.61%
District of Columbia 3,628 3,072 2,655 86.34% 1,071 851 461073 74.67% 64.47%
Florida 10,631 8,280 7,581 91.61% 4,606 3,669 14828967 72.57% 66.47%
Georgia 2,328 1,849 1,721 92.99% 1,108 920 7294559 78.52% 73.01%
Hawaii 2,404 1,900 1,735 91.06% 1,134 895 1027252 71.95% 65.52%
Idaho 2,036 1,745 1,646 94.39% 1,087 915 1158701 81.04% 76.50%
Illinois 9,357 8,281 6,864 82.81% 4,731 3,661 10446542 71.84% 59.49%
Indiana 2,290 1,944 1,845 94.87% 1,117 900 5133632 73.79% 70.01%
Iowa 2,010 1,733 1,636 94.39% 1,088 923 2486265 79.03% 74.59%
Kansas 2,383 2,034 1,895 92.97% 1,133 938 2242553 79.53% 73.94%
Kentucky 2,403 2,070 1,940 93.74% 1,086 895 3447472 74.87% 70.18%
Louisiana 2,273 1,740 1,645 94.56% 1,017 840 3667177 76.58% 72.41%
Maine 2,834 2,113 1,940 91.83% 1,041 891 1133884 80.22% 73.66%
Maryland 2,315 2,027 1,739 85.78% 1,156 941 4595815 76.80% 65.88%
Massachusetts 2,538 2,246 2,009 89.32% 1,187 960 5368881 74.44% 66.49%
Michigan 9,190 7,629 6,898 90.37% 4,503 3,655 8384776 76.32% 68.97%
Minnesota 1,899 1,641 1,555 94.74% 1,063 904 4273652 81.74% 77.44%
Mississippi 2,369 1,780 1,697 95.39% 1,106 930 2361852 80.33% 76.63%
Missouri 2,119 1,762 1,666 94.57% 1,073 884 4802657 78.08% 73.84%
Montana 2,571 1,976 1,866 94.42% 1,083 914 791608 79.72% 75.28%
Nebraska 2,377 2,072 1,953 94.24% 1,127 935 1442367 77.51% 73.05%
Nevada 2,262 1,907 1,797 94.28% 1,111 917 1969076 76.12% 71.77%
New Hampshire 2,500 2,086 1,883 87.02% 1,098 881 1107223 77.35% 67.31%
New Jersey 2,466 2,114 1,866 88.21% 1,197 925 7195333 70.39% 62.09%
New Mexico 2,176 1,811 1,713 94.56% 1,036 902 1578514 83.61% 79.06%
New York 10,878 9,398 7,676 81.75% 4,683 3,622 16034185 71.14% 58.15%
North Carolina 2,308 1,789 1,684 94.11% 1,035 861 7058554 79.25% 74.59%
North Dakota 2,487 2,059 1,950 94.68% 1,097 933 533566 81.83% 77.48%
Ohio 8,990 7,750 7,310 94.37% 4,403 3,579 9513391 76.84% 72.51%
Oklahoma 2,497 1,989 1,872 94.15% 1,159 946 2897287 78.34% 73.76%
Oregon 2,423 2,093 1,962 93.89% 1,142 920 3049330 74.93% 70.35%
Pennsylvania 10,195 8,787 7,893 89.74% 4,463 3,684 10436338 76.71% 68.84%
Rhode Island 2,332 1,964 1,760 89.63% 1,074 890 902072 79.22% 71.01%
South Carolina 2,594 2,076 1,970 94.91% 1,086 910 3493487 80.56% 76.46%
South Dakota 1,955 1,593 1,522 95.51% 1,104 927 635910 78.13% 74.62%
Tennessee 2,273 1,934 1,762 91.06% 1,101 921 4950513 80.14% 72.97%
Texas 7,790 6,411 6,096 95.10% 4,276 3,562 18113028 78.62% 74.77%
Utah 1,622 1,402 1,342 95.61% 1,077 939 1926464 81.72% 78.14%
Vermont 2,410 1,859 1,741 93.90% 1,050 880 536973 78.31% 73.54%
Virginia 2,318 1,999 1,759 88.35% 1,156 941 6125856 75.60% 66.79%
Washington 2,061 1,737 1,641 94.54% 1,074 876 5216989 76.04% 71.88%
West Virginia 2,972 2,495 2,340 93.84% 1,130 924 1546578 76.22% 71.53%
Wisconsin 2,143 1,724 1,612 93.54% 1,103 915 4629408 78.18% 73.13%
Wyoming 2,567 2,012 1,900 94.43% 1,122 924 427287 77.40% 73.09%
Table A.4 Sample Sizes, Weighted Interview Response Rates, and Population Estimates, by State and Three Age Groups: 2005
State 12-17 18-25 26+
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2005.
Total U.S. 25,840 22,565 25,354,871 87.10% 27,337 22,764 32,485,929 83.06% 30,628 22,979 185,379,484 73.50%
Northeast 5,266 4,563 4,545,576 85.14% 5,618 4,612 5,709,650 80.84% 6,110 4,536 35,375,597 70.94%
Midwest 7,264 6,348 5,665,730 86.77% 7,654 6,355 7,448,881 82.93% 8,624 6,451 41,410,106 73.90%
South 7,899 6,899 9,065,330 87.79% 8,245 6,960 11,704,787 85.08% 9,267 6,959 66,831,490 74.34%
West 5,411 4,755 6,078,235 87.83% 5,820 4,837 7,622,611 81.78% 6,627 5,033 41,762,291 73.83%
                         
Alabama 344 293 379,863 84.92% 368 312 506,216 85.30% 406 309 2,887,663 74.27%
Alaska 312 272 68,090 88.06% 399 338 75,289 84.35% 426 311 375,668 71.25%
Arizona 314 282 517,262 90.59% 401 314 655,373 78.31% 397 312 3,618,797 77.24%
Arkansas 304 273 231,565 90.65% 370 309 311,085 85.29% 366 269 1,742,351 74.43%
California 1,408 1,211 3,324,479 86.65% 1,492 1,201 3,977,199 80.78% 1,733 1,287 21,912,332 72.98%
Colorado 333 293 393,077 88.81% 334 270 510,901 80.43% 443 332 2,889,449 72.26%
Connecticut 387 335 300,551 82.84% 449 363 347,469 81.66% 365 280 2,267,915 75.90%
Delaware 379 329 67,891 87.13% 375 312 92,587 84.10% 406 301 540,171 73.13%
District of Columbia 319 272 34,763 87.27% 298 252 62,881 84.05% 454 327 363,429 72.10%
Florida 1,410 1,235 1,415,728 88.36% 1,515 1,255 1,748,510 82.80% 1,681 1,179 11,664,728 68.99%
Georgia 332 295 781,517 89.79% 393 336 1,006,662 86.48% 383 289 5,506,380 75.51%
Hawaii 353 304 101,052 87.94% 370 304 124,509 81.19% 411 287 801,691 68.40%
Idaho 322 287 127,463 88.52% 383 324 174,749 84.94% 382 304 856,489 79.17%
Illinois 1,432 1,210 1,103,493 84.21% 1,554 1,227 1,408,349 79.71% 1,745 1,224 7,934,700 68.89%
Indiana 384 328 551,621 85.63% 323 278 706,767 85.97% 410 294 3,875,245 70.02%
Iowa 290 264 238,442 90.97% 369 324 351,935 86.97% 429 335 1,895,889 76.44%
Kansas 353 321 231,709 90.48% 398 330 328,431 83.75% 382 287 1,682,414 77.22%
Kentucky 362 319 336,230 87.54% 299 261 451,706 86.90% 425 315 2,659,536 71.54%
Louisiana 352 316 395,660 90.78% 278 227 545,613 81.74% 387 297 2,725,905 73.35%
Maine 301 269 107,503 88.89% 353 310 138,219 87.59% 387 312 888,162 78.18%
Maryland 323 274 495,159 85.29% 402 341 579,316 85.62% 431 326 3,521,340 74.32%
Massachusetts 367 322 511,495 86.65% 406 334 675,654 82.46% 414 304 4,181,733 71.39%
Michigan 1,429 1,250 909,522 87.93% 1,350 1,126 1,110,576 83.36% 1,724 1,279 6,364,678 73.43%
Minnesota 331 295 434,873 87.99% 354 296 600,717 84.16% 378 313 3,238,062 80.49%
Mississippi 350 310 255,325 88.84% 352 301 346,717 84.90% 404 319 1,759,810 78.22%
Missouri 336 291 485,626 86.27% 366 305 657,106 83.59% 371 288 3,659,926 76.07%
Montana 345 306 76,652 89.55% 372 317 109,736 84.94% 366 291 605,220 77.34%
Nebraska 379 340 147,168 88.70% 339 282 211,479 82.97% 409 313 1,083,720 75.09%
Nevada 340 307 204,889 90.42% 356 300 245,352 85.01% 415 310 1,518,835 73.07%
New Hampshire 339 286 115,310 85.39% 308 246 137,700 79.86% 451 349 854,213 76.03%
New Jersey 376 314 750,618 82.74% 432 343 839,549 78.48% 389 268 5,605,166 67.55%
New Mexico 342 304 172,592 89.77% 309 281 227,065 90.40% 385 317 1,178,857 81.40%
New York 1,470 1,243 1,585,930 83.82% 1,468 1,144 2,051,613 77.25% 1,745 1,235 12,396,642 68.43%
North Carolina 304 265 720,859 87.48% 365 307 902,050 85.79% 366 289 5,435,645 77.00%
North Dakota 345 314 49,616 88.86% 364 311 82,221 85.65% 388 308 401,730 80.10%
Ohio 1,334 1,152 978,132 85.59% 1,482 1,228 1,257,664 82.00% 1,587 1,199 7,277,595 74.71%
Oklahoma 346 286 290,467 82.87% 417 350 419,860 84.15% 396 310 2,186,961 76.53%
Oregon 345 286 297,895 83.40% 359 306 399,067 83.71% 438 328 2,352,368 72.35%
Pennsylvania 1,382 1,212 1,033,652 87.83% 1,517 1,298 1,323,979 85.59% 1,564 1,174 8,078,706 73.65%
Rhode Island 308 276 88,361 89.12% 343 285 123,642 85.12% 423 329 690,069 76.83%
South Carolina 368 325 359,960 88.75% 286 238 464,920 83.73% 432 347 2,668,607 79.10%
South Dakota 335 304 65,673 90.65% 353 311 94,482 88.77% 416 312 475,755 74.64%
Tennessee 358 314 477,589 87.94% 376 316 644,486 85.99% 367 291 3,828,438 78.28%
Texas 1,334 1,177 2,061,525 88.43% 1,347 1,166 2,648,680 86.30% 1,595 1,219 13,402,822 75.73%
Utah 357 328 225,945 91.47% 320 284 361,368 88.24% 400 327 1,339,150 78.56%
Vermont 336 306 52,156 90.26% 342 289 71,825 84.96% 372 285 412,992 75.51%
Virginia 355 306 624,849 84.60% 427 355 782,453 84.93% 374 280 4,718,555 72.59%
Washington 309 279 527,294 90.61% 329 269 699,984 81.83% 436 328 3,989,712 73.35%
West Virginia 359 310 136,382 86.68% 377 322 191,047 84.99% 394 292 1,219,150 73.68%
Wisconsin 316 279 469,857 88.28% 402 337 639,157 82.11% 385 299 3,520,393 76.16%
Wyoming 331 296 41,544 90.39% 396 329 62,018 83.34% 395 299 323,724 74.47%
Table A.5 Sample Sizes, Weighted Screening and Interview Response Rates, and Population Estimates, by State, for Persons Aged 12 or Older: 2006
State Total Selected DUs Total Eligible DUs Total Completed Screeners Weighted DU Screening Response Rate Total Selected Total Responded Population Estimate Weighted Interview Response Rate Weighted Overall Response Rate
DU = dwelling unit.
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2006.
Total U.S. 182,459 151,288 137,057 90.55% 85,034 67,802 246,021,656 74.24% 67.23%
Northeast 39,736 33,247 28,846 85.62% 17,201 13,499 45,851,360 71.96% 61.61%
Midwest 49,110 41,548 37,705 90.73% 23,766 18,988 54,699,857 75.39% 68.40%
South 57,646 46,460 42,682 92.21% 25,848 20,841 88,990,723 75.13% 69.27%
West 35,967 30,033 27,824 91.93% 18,219 14,474 56,479,716 73.60% 67.66%
                   
Alabama 2,246 1,784 1,633 91.49% 1,130 912 3,801,084 73.90% 67.61%
Alaska 2,248 1,696 1,522 89.74% 1,131 910 527,233 76.21% 68.39%
Arizona 2,300 1,761 1,663 94.43% 1,105 880 4,984,110 73.31% 69.23%
Arkansas 2,378 1,904 1,793 94.04% 1,042 862 2,305,283 80.15% 75.37%
California 8,239 7,385 6,670 90.35% 4,753 3,657 29,636,814 71.87% 64.93%
Colorado 2,508 2,070 1,894 91.48% 1,101 899 3,889,399 78.63% 71.93%
Connecticut 2,347 2,004 1,791 89.26% 1,133 891 2,926,648 73.70% 65.79%
Delaware 2,413 1,930 1,716 88.96% 1,109 897 705,945 77.29% 68.76%
District of Columbia 3,804 3,161 2,735 86.54% 1,083 880 493,946 77.31% 66.91%
Florida 10,538 8,351 7,544 90.29% 4,627 3,671 15,151,767 72.71% 65.65%
Georgia 2,277 1,830 1,686 92.20% 1,146 925 7,529,337 72.96% 67.27%
Hawaii 2,399 2,024 1,845 91.04% 1,190 889 1,037,510 68.48% 62.34%
Idaho 2,252 1,883 1,777 94.37% 1,113 901 1,181,617 77.42% 73.06%
Illinois 9,769 8,514 7,002 82.14% 4,679 3,512 10,533,040 68.44% 56.21%
Indiana 2,337 1,951 1,775 90.97% 1,197 970 5,191,139 79.02% 71.89%
Iowa 2,288 1,975 1,825 92.71% 1,091 893 2,474,784 79.65% 73.84%
Kansas 2,202 1,872 1,765 94.27% 1,129 900 2,246,155 78.55% 74.05%
Kentucky 2,441 2,061 1,939 94.05% 1,141 913 3,469,472 73.33% 68.97%
Louisiana 2,438 1,691 1,599 94.69% 1,086 869 3,478,296 72.91% 69.04%
Maine 3,204 2,234 2,059 92.16% 1,087 903 1,130,632 80.38% 74.08%
Maryland 2,326 2,022 1,749 86.61% 1,154 927 4,638,342 77.05% 66.73%
Massachusetts 2,605 2,248 1,944 86.52% 1,169 910 5,415,211 75.56% 65.38%
Michigan 8,665 7,274 6,580 90.48% 4,463 3,625 8,389,088 76.56% 69.28%
Minnesota 2,242 1,921 1,751 91.20% 1,057 872 4,286,476 80.23% 73.17%
Mississippi 2,391 1,795 1,714 95.46% 1,086 887 2,349,616 74.33% 70.96%
Missouri 2,265 1,855 1,751 94.41% 1,133 924 4,819,013 75.20% 70.99%
Montana 2,474 2,053 1,935 94.26% 1,122 909 790,600 77.58% 73.12%
Nebraska 2,367 2,054 1,933 94.12% 1,096 890 1,442,619 78.21% 73.61%
Nevada 2,280 1,862 1,756 94.30% 1,100 876 2,039,509 74.25% 70.02%
New Hampshire 2,730 2,224 2,008 90.17% 1,104 903 1,114,761 77.94% 70.28%
New Jersey 2,692 2,336 2,009 85.99% 1,251 899 7,254,664 67.07% 57.67%
New Mexico 2,208 1,818 1,716 94.37% 1,065 884 1,589,217 77.04% 72.71%
New York 11,412 9,696 7,825 80.73% 4,871 3,584 16,122,190 68.59% 55.37%
North Carolina 3,004 2,413 2,275 94.31% 1,218 1,000 7,218,540 78.71% 74.23%
North Dakota 2,572 2,074 1,962 94.54% 1,123 934 526,510 79.51% 75.17%
Ohio 9,607 8,178 7,711 94.24% 4,549 3,627 9,518,947 74.67% 70.36%
Oklahoma 2,915 2,305 2,088 90.20% 1,160 925 2,899,366 76.11% 68.66%
Oregon 2,545 2,122 1,985 93.56% 1,101 882 3,103,344 73.51% 68.78%
Pennsylvania 9,946 8,540 7,659 89.70% 4,374 3,574 10,451,936 75.67% 67.88%
Rhode Island 2,417 2,095 1,837 87.53% 1,130 919 899,026 77.77% 68.08%
South Carolina 2,653 2,076 1,968 94.76% 1,127 921 3,551,269 76.20% 72.20%
South Dakota 2,367 1,902 1,802 94.74% 1,104 926 637,001 80.79% 76.54%
Tennessee 2,211 1,875 1,746 92.96% 1,071 904 4,994,197 80.24% 74.59%
Texas 8,291 6,761 6,367 94.14% 4,383 3,537 18,644,278 75.48% 71.05%
Utah 1,559 1,340 1,272 94.89% 1,074 912 1,975,874 81.08% 76.94%
Vermont 2,383 1,870 1,714 91.60% 1,082 916 536,292 83.30% 76.30%
Virginia 2,630 2,223 1,972 88.62% 1,157 906 6,216,707 73.39% 65.04%
Washington 2,432 2,011 1,892 94.10% 1,183 929 5,297,005 75.07% 70.64%
West Virginia 2,690 2,278 2,158 94.72% 1,128 905 1,543,277 74.23% 70.31%
Wisconsin 2,429 1,978 1,848 93.25% 1,145 915 4,635,085 76.48% 71.31%
Wyoming 2,523 2,008 1,897 94.47% 1,181 946 427,484 77.01% 72.75%
Table A.6 Sample Sizes, Weighted Interview Response Rates, and Population Estimates, by State and Three Age Groups: 2006
State 12-17 18-25 26+
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2006.
Total U.S. 26,702 22,912 25,391,932 85.46% 27,303 22,152 32,739,870 80.96% 31,029 22,738 187,889,854 71.54%
Northeast 5,428 4,613 4,513,132 83.38% 5,505 4,365 5,862,816 78.29% 6,268 4,521 35,475,412 69.47%
Midwest 7,453 6,383 5,670,639 85.90% 7,543 6,106 7,383,772 80.18% 8,770 6,499 41,645,446 73.12%
South 8,261 7,155 9,151,832 86.29% 8,267 6,836 11,681,799 82.94% 9,320 6,850 68,157,092 72.23%
West 5,560 4,761 6,056,330 85.33% 5,988 4,845 7,811,483 80.74% 6,671 4,868 42,611,904 70.65%
                         
Alabama 342 301 388,190 88.02% 377 318 502,446 83.46% 411 293 2,910,448 70.56%
Alaska 342 293 64,608 84.11% 383 310 73,165 81.05% 406 307 389,461 74.24%
Arizona 315 279 528,141 87.82% 386 307 666,453 80.26% 404 294 3,789,516 70.18%
Arkansas 330 285 235,092 86.02% 339 284 301,916 85.42% 373 293 1,768,276 78.43%
California 1,462 1,226 3,262,489 84.06% 1,504 1,196 4,193,216 80.41% 1,787 1,235 22,181,109 68.53%
Colorado 326 281 386,045 84.43% 363 300 515,619 83.75% 412 318 2,987,735 77.04%
Connecticut 386 332 298,079 86.83% 312 245 350,601 80.33% 435 314 2,277,969 70.92%
Delaware 342 304 70,313 90.08% 324 259 92,101 79.78% 443 334 543,531 75.22%
District of Columbia 332 279 38,255 85.09% 303 270 79,730 88.36% 448 331 375,961 74.51%
Florida 1,459 1,272 1,395,023 86.59% 1,519 1,239 1,782,136 81.74% 1,649 1,160 11,974,608 69.68%
Georgia 422 354 819,555 84.12% 360 304 1,007,678 83.87% 364 267 5,702,105 69.24%
Hawaii 357 281 101,375 76.37% 380 300 124,757 80.54% 453 308 811,378 65.46%
Idaho 353 296 132,682 85.06% 377 313 167,260 83.76% 383 292 881,675 75.05%
Illinois 1,426 1,205 1,098,090 84.31% 1,431 1,081 1,437,196 74.29% 1,822 1,226 7,997,754 65.25%
Indiana 372 309 541,262 83.88% 408 330 698,732 82.18% 417 331 3,951,146 77.79%
Iowa 334 291 249,631 87.29% 355 283 345,578 80.00% 402 319 1,879,576 78.59%
Kansas 391 318 236,905 79.95% 319 256 321,520 79.97% 419 326 1,687,729 78.10%
Kentucky 374 320 342,465 85.48% 354 292 435,107 83.95% 413 301 2,691,900 70.03%
Louisiana 321 289 375,058 89.85% 367 304 502,102 83.34% 398 276 2,601,136 68.39%
Maine 371 323 106,794 86.33% 358 297 129,749 82.70% 358 283 894,089 79.24%
Maryland 374 313 481,655 83.37% 329 272 586,086 83.45% 451 342 3,570,602 75.38%
Massachusetts 349 286 510,401 80.94% 386 303 711,915 81.01% 434 321 4,192,896 73.94%
Michigan 1,384 1,210 893,293 87.84% 1,368 1,132 1,100,817 82.82% 1,711 1,283 6,394,978 74.01%
Minnesota 294 265 439,635 91.20% 395 322 586,082 82.52% 368 285 3,260,759 78.21%
Mississippi 367 325 260,500 89.49% 316 273 332,010 86.91% 403 289 1,757,106 69.46%
Missouri 342 298 495,519 86.51% 377 317 640,870 83.30% 414 309 3,682,625 72.30%
Montana 353 305 79,182 86.38% 354 280 105,427 79.46% 415 324 605,992 76.04%
Nebraska 362 297 150,353 82.68% 371 323 208,596 87.29% 363 270 1,083,670 75.65%
Nevada 334 297 208,358 87.57% 352 286 246,826 81.66% 414 293 1,584,326 71.32%
New Hampshire 352 314 111,999 88.93% 386 308 135,850 81.12% 366 281 866,912 76.19%
New Jersey 384 311 732,339 81.49% 381 274 848,461 73.38% 486 314 5,673,865 64.25%
New Mexico 333 287 175,349 84.76% 357 308 226,384 86.93% 375 289 1,187,485 73.96%
New York 1,498 1,208 1,589,881 79.72% 1,574 1,164 2,161,472 73.93% 1,799 1,212 12,370,837 66.28%
North Carolina 372 320 725,554 86.48% 442 378 898,015 85.45% 404 302 5,594,971 76.37%
North Dakota 338 292 51,433 86.06% 374 319 86,938 85.62% 411 323 388,139 77.42%
Ohio 1,479 1,258 977,863 85.70% 1,482 1,206 1,241,401 81.47% 1,588 1,163 7,299,683 71.98%
Oklahoma 382 323 301,174 85.10% 380 303 410,515 79.86% 398 299 2,187,677 74.02%
Oregon 350 311 297,252 88.86% 344 275 391,117 78.86% 407 296 2,414,975 70.76%
Pennsylvania 1,410 1,252 1,026,320 89.06% 1,329 1,121 1,327,163 84.86% 1,635 1,201 8,098,453 72.46%
Rhode Island 340 296 85,962 88.97% 399 325 128,023 81.31% 391 298 685,041 75.77%
South Carolina 332 294 363,760 86.88% 415 345 458,602 83.68% 380 282 2,728,907 73.45%
South Dakota 358 318 66,755 88.92% 326 277 91,245 86.76% 420 331 479,000 78.48%
Tennessee 343 309 494,906 89.65% 368 307 624,639 83.20% 360 288 3,874,652 78.43%
Texas 1,421 1,224 2,105,384 86.54% 1,331 1,101 2,700,676 82.99% 1,631 1,212 13,838,219 72.31%
Utah 283 259 240,594 92.82% 395 338 367,883 83.36% 396 315 1,367,397 78.40%
Vermont 338 291 51,357 85.02% 380 328 69,584 87.19% 364 297 415,351 82.43%
Virginia 383 324 617,449 82.64% 374 292 782,870 78.98% 400 290 4,816,388 71.25%
Washington 379 330 537,185 86.79% 397 309 673,599 77.70% 407 290 4,086,221 72.89%
West Virginia 365 319 137,499 87.61% 369 295 185,171 79.30% 394 291 1,220,607 71.86%
Wisconsin 373 322 469,901 85.72% 337 260 624,798 75.17% 435 333 3,540,386 75.54%
Wyoming 373 316 43,070 85.88% 396 323 59,780 81.42% 412 307 324,634 75.09%
Table A.7 Sample Sizes, Weighted Screening and Interview Response Rates, and Population Estimates, by State, for Persons Aged 12 or Older: 2004 and 2005
State Total Selected DUs Total Eligible DUs Total Completed Screeners Weighted DU Screening Response Rate Total Selected Total Responded Population Estimate Weighted Interview Response Rate Weighted Overall Response Rate
Note: To compute the pooled 2004-2005 weighted response rates, the two samples were combined, and the individual-year weights were used for the pooled sample. Thus, the response rates presented here are weighted across 2 years of data rather than being a simple average of the 2004 and 2005 individual response rates.
DU = dwelling unit.
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2004 and 2005.
Total U.S. 345,472 289,524 264,185 91.13% 165,778 136,068 241,867,549 76.59% 69.80%
Northeast 76,102 64,271 56,560 86.75% 33,668 27,234 45,564,084 74.42% 64.56%
Midwest 93,419 79,704 72,843 91.60% 46,462 38,043 54,368,174 77.02% 70.55%
South 108,632 88,820 81,948 92.51% 50,231 41,625 86,871,398 77.90% 72.06%
West 67,319 56,729 52,834 92.18% 35,417 29,166 55,063,893 75.91% 69.97%
                   
Alabama 4,311 3,390 3,130 92.37% 2,173 1,794 3,757,332 75.86% 70.07%
Alaska 4,147 3,242 2,991 92.17% 2,215 1,815 515,053 77.25% 71.20%
Arizona 4,171 3,467 3,268 94.19% 2,231 1,811 4,704,127 78.34% 73.79%
Arkansas 4,563 3,787 3,586 94.68% 2,102 1,751 2,272,075 78.85% 74.66%
California 15,583 13,832 12,489 90.11% 9,264 7,424 29,115,373 74.22% 66.89%
Colorado 4,540 3,773 3,551 94.10% 2,245 1,829 3,764,569 76.61% 72.09%
Connecticut 5,095 4,459 4,055 90.88% 2,299 1,875 2,908,903 76.63% 69.64%
Delaware 4,726 3,948 3,618 91.72% 2,304 1,874 694,657 76.89% 70.53%
District of Columbia 6,783 5,678 4,897 86.29% 2,112 1,754 463,753 78.40% 67.66%
Florida 21,087 16,768 15,162 90.33% 9,132 7,331 14,653,707 73.23% 66.14%
Georgia 4,469 3,601 3,318 92.16% 2,162 1,810 7,178,879 79.40% 73.18%
Hawaii 4,363 3,615 3,310 91.51% 2,222 1,798 1,020,718 74.60% 68.27%
Idaho 4,051 3,449 3,253 94.35% 2,138 1,817 1,141,895 81.71% 77.10%
Illinois 17,814 15,739 13,206 83.89% 9,175 7,236 10,417,061 73.47% 61.63%
Indiana 4,466 3,777 3,587 94.95% 2,202 1,791 5,116,000 75.72% 71.90%
Iowa 4,000 3,478 3,277 94.27% 2,127 1,813 2,477,169 80.04% 75.45%
Kansas 4,677 3,987 3,736 93.58% 2,126 1,766 2,234,644 79.09% 74.01%
Kentucky 4,775 4,129 3,889 94.19% 2,230 1,828 3,434,481 74.35% 70.02%
Louisiana 4,379 3,453 3,259 94.37% 2,099 1,773 3,657,020 78.93% 74.48%
Maine 5,565 4,281 3,965 92.59% 2,105 1,787 1,130,473 80.81% 74.82%
Maryland 4,437 3,882 3,356 86.26% 2,195 1,842 4,576,899 78.95% 68.10%
Massachusetts 4,756 4,141 3,695 89.23% 2,274 1,837 5,374,792 75.74% 67.58%
Michigan 18,720 15,598 14,053 90.08% 8,993 7,325 8,374,486 75.97% 68.44%
Minnesota 3,900 3,355 3,133 93.40% 2,129 1,811 4,255,639 82.73% 77.27%
Mississippi 4,300 3,329 3,179 95.55% 2,159 1,844 2,351,827 80.39% 76.81%
Missouri 4,309 3,634 3,430 94.40% 2,177 1,781 4,777,002 78.02% 73.65%
Montana 5,082 3,966 3,740 94.31% 2,163 1,821 786,572 79.65% 75.12%
Nebraska 4,421 3,801 3,582 94.23% 2,199 1,832 1,436,416 79.08% 74.51%
Nevada 4,165 3,548 3,349 93.98% 2,164 1,805 1,933,959 77.15% 72.51%
New Hampshire 4,848 3,994 3,648 89.48% 2,212 1,785 1,101,406 76.89% 68.80%
New Jersey 5,230 4,473 3,899 86.76% 2,350 1,811 7,184,053 71.23% 61.80%
New Mexico 4,366 3,610 3,432 95.03% 2,108 1,824 1,565,593 82.32% 78.23%
New York 21,353 18,338 15,048 82.01% 9,268 7,260 16,006,245 72.48% 59.45%
North Carolina 4,493 3,522 3,319 94.22% 2,064 1,730 6,993,179 79.32% 74.74%
North Dakota 5,063 4,187 3,970 94.82% 2,168 1,844 531,798 81.52% 77.30%
Ohio 17,589 15,213 14,336 94.26% 8,807 7,192 9,501,589 76.87% 72.46%
Oklahoma 4,879 3,878 3,641 93.93% 2,213 1,813 2,882,406 77.31% 72.61%
Oregon 4,657 4,024 3,787 94.17% 2,250 1,830 3,025,601 75.59% 71.19%
Pennsylvania 19,794 17,023 15,341 90.09% 8,823 7,274 10,418,015 76.88% 69.26%
Rhode Island 4,362 3,749 3,348 89.37% 2,200 1,801 904,613 77.76% 69.50%
South Carolina 4,986 4,022 3,814 94.83% 2,128 1,795 3,465,673 81.13% 76.93%
South Dakota 3,979 3,267 3,116 95.37% 2,138 1,820 633,033 80.17% 76.46%
Tennessee 4,660 3,983 3,695 92.72% 2,124 1,817 4,919,291 82.76% 76.73%
Texas 15,713 13,010 12,350 94.91% 8,610 7,193 17,948,441 78.91% 74.89%
Utah 3,340 2,866 2,731 95.15% 2,117 1,849 1,889,180 82.69% 78.68%
Vermont 5,099 3,813 3,561 93.47% 2,137 1,804 535,584 80.08% 74.85%
Virginia 4,378 3,772 3,346 88.82% 2,236 1,843 6,076,626 77.86% 69.15%
Washington 4,059 3,506 3,318 94.67% 2,160 1,762 5,175,920 76.01% 71.95%
West Virginia 5,693 4,668 4,389 94.07% 2,188 1,833 1,545,152 77.69% 73.09%
Wisconsin 4,481 3,668 3,417 93.20% 2,221 1,832 4,613,337 78.04% 72.73%
Wyoming 4,795 3,831 3,615 94.36% 2,140 1,781 425,335 79.52% 75.03%
Table A.8 Sample Sizes, Weighted Interview Response Rates, and Population Estimates, by State and Three Age Groups: 2004 and 2005
State 12-17 18-25 26+
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Note: To compute the pooled 2004-2005 weighted response rates, the two samples were combined, and the individual-year weights were used for the pooled sample. Thus, the response rates presented here are weighted across 2 years of data rather than being a simple average of the 2004 and 2005 individual response rates.
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2004 and 2005.
Total U.S. 50,981 44,874 25,284,631 87.83% 54,745 45,839 32,339,937 83.47% 60,052 45,355 184,242,981 73.86%
Northeast 10,265 8,926 4,540,862 85.85% 11,161 9,191 5,696,947 81.32% 12,242 9,117 35,326,275 71.83%
Midwest 14,411 12,659 5,673,543 87.16% 15,289 12,752 7,444,990 83.20% 16,762 12,632 41,249,641 74.55%
South 15,510 13,721 9,033,093 88.83% 16,573 14,094 11,621,383 85.33% 18,148 13,810 66,216,922 75.09%
West 10,795 9,568 6,037,133 88.42% 11,722 9,802 7,576,617 82.48% 12,900 9,796 41,450,143 72.93%
                         
Alabama 679 593 380,150 86.50% 685 589 506,120 86.36% 809 612 2,871,062 72.48%
Alaska 655 573 68,162 87.72% 775 646 73,462 82.39% 785 596 373,429 74.54%
Arizona 669 589 510,698 88.63% 757 594 643,907 79.00% 805 628 3,549,522 76.81%
Arkansas 640 574 232,095 90.14% 742 621 310,177 84.22% 720 556 1,729,803 76.14%
California 2,816 2,462 3,290,671 87.71% 3,015 2,460 3,974,135 81.83% 3,433 2,502 21,850,567 70.89%
Colorado 672 602 392,822 90.74% 769 628 506,705 81.07% 804 599 2,865,042 73.68%
Connecticut 738 645 299,013 85.78% 790 653 344,048 82.30% 771 577 2,265,842 74.34%
Delaware 723 625 67,454 86.92% 777 642 92,253 82.98% 804 607 534,950 74.51%
District of Columbia 643 563 34,350 88.83% 667 580 65,197 86.24% 802 611 364,207 76.05%
Florida 2,832 2,483 1,404,055 88.24% 2,941 2,452 1,719,548 83.04% 3,359 2,396 11,530,104 69.88%
Georgia 642 576 775,954 90.01% 777 661 990,545 85.96% 743 573 5,412,379 76.60%
Hawaii 667 594 100,585 90.11% 744 617 123,191 82.81% 811 587 796,942 71.24%
Idaho 632 566 127,552 89.54% 745 642 172,734 86.40% 761 609 841,609 79.59%
Illinois 2,748 2,376 1,099,965 86.66% 3,037 2,441 1,406,715 80.56% 3,390 2,419 7,910,382 70.50%
Indiana 723 612 549,720 83.12% 693 599 709,599 86.56% 786 580 3,856,681 72.77%
Iowa 644 583 240,059 90.88% 691 607 353,384 88.13% 792 623 1,883,725 77.37%
Kansas 662 600 233,656 90.28% 729 608 327,533 83.89% 735 558 1,673,455 76.47%
Kentucky 700 616 336,219 87.77% 678 585 453,022 86.12% 852 627 2,645,240 70.95%
Louisiana 667 604 398,611 91.20% 662 572 545,993 85.85% 770 597 2,712,415 75.68%
Maine 626 561 108,414 88.84% 731 620 137,266 84.87% 748 606 884,793 79.21%
Maryland 654 585 492,847 89.63% 752 640 571,917 85.84% 789 617 3,512,136 76.28%
Massachusetts 687 602 511,301 87.12% 778 638 676,924 81.96% 809 597 4,186,567 73.29%
Michigan 2,870 2,523 907,902 88.17% 2,853 2,392 1,111,809 83.58% 3,270 2,410 6,354,775 72.84%
Minnesota 677 600 437,674 87.80% 687 576 597,384 84.65% 765 635 3,220,581 81.73%
Mississippi 642 586 255,659 91.89% 767 668 348,523 86.61% 750 590 1,747,645 77.45%
Missouri 685 587 486,907 85.16% 721 598 653,900 82.33% 771 596 3,636,194 76.33%
Montana 665 583 77,617 88.39% 745 641 108,976 85.41% 753 597 599,979 77.32%
Nebraska 645 576 148,189 88.51% 752 624 210,903 82.97% 802 632 1,077,324 77.13%
Nevada 647 588 201,110 89.97% 712 607 239,773 86.32% 805 610 1,493,077 74.05%
New Hampshire 679 578 115,243 85.73% 643 531 136,890 81.64% 890 676 849,273 75.08%
New Jersey 684 579 745,809 82.97% 825 640 832,522 77.69% 841 592 5,605,723 68.82%
New Mexico 683 619 173,285 90.68% 642 577 224,690 89.47% 783 628 1,167,618 79.70%
New York 2,815 2,387 1,584,677 84.46% 3,032 2,419 2,050,011 79.29% 3,421 2,454 12,371,557 69.81%
North Carolina 640 572 715,542 89.59% 703 592 897,851 85.10% 721 566 5,379,787 76.84%
North Dakota 695 628 50,426 89.29% 732 626 82,738 84.93% 741 590 398,634 79.79%
Ohio 2,752 2,395 980,119 86.60% 2,910 2,414 1,257,858 82.59% 3,145 2,383 7,263,612 74.54%
Oklahoma 671 574 292,067 86.00% 803 674 418,925 84.70% 739 565 2,171,414 74.44%
Oregon 694 597 297,935 86.11% 724 615 396,541 84.58% 832 618 2,331,124 72.65%
Pennsylvania 2,696 2,389 1,035,623 88.82% 2,950 2,495 1,322,980 85.07% 3,177 2,390 8,059,411 73.99%
Rhode Island 650 561 88,122 87.37% 720 611 125,374 85.76% 830 629 691,117 75.01%
South Carolina 717 632 358,954 88.27% 578 496 464,027 86.55% 833 667 2,642,693 79.32%
South Dakota 612 561 66,529 90.84% 740 657 94,332 89.13% 786 602 472,172 77.22%
Tennessee 653 587 477,163 89.79% 717 614 642,419 87.33% 754 616 3,799,709 81.15%
Texas 2,684 2,382 2,052,845 88.88% 2,791 2,402 2,628,020 86.11% 3,135 2,409 13,267,576 76.01%
Utah 705 652 226,903 92.66% 663 585 358,089 87.52% 749 612 1,304,188 79.66%
Vermont 690 624 52,660 90.06% 692 584 70,932 86.04% 755 596 411,991 77.74%
Virginia 651 574 622,210 86.80% 801 665 774,068 82.91% 784 604 4,680,347 75.88%
Washington 654 580 527,538 88.39% 707 580 692,546 81.32% 799 602 3,955,836 73.54%
West Virginia 672 595 136,919 89.17% 732 641 192,780 87.67% 784 597 1,215,454 74.85%
Wisconsin 698 618 472,397 89.05% 744 610 638,835 81.28% 779 604 3,502,106 75.97%
Wyoming 636 563 42,257 89.81% 724 610 61,866 84.88% 780 608 321,211 77.13%
Table A.9 Sample Sizes, Weighted Screening and Interview Response Rates, and Population Estimates, by State, for Persons Aged 12 or Older: 2005 and 2006
State Total Selected DUs Total Eligible DUs Total Completed Screeners Weighted DU Screening Response Rate Total Selected Total Responded Population Estimate Weighted Interview Response Rate Weighted Overall Response Rate
DU = dwelling unit.
Note: To compute the pooled 2005-2006 weighted response rates, the two samples were combined, and the individual-year weights were used for the pooled sample. Thus, the response rates presented here are weighted across 2 years of data rather than being a simple average of the 2005 and 2006 individual response rates.
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2005 and 2006.
Total U.S. 358,417 298,200 271,112 90.95% 168,839 136,110 244,620,970 75.21% 68.40%
Northeast 78,491 66,064 57,656 86.17% 34,195 27,210 45,741,091 72.80% 62.73%
Midwest 96,310 81,770 74,411 91.16% 47,308 38,142 54,612,287 75.90% 69.20%
South 113,332 91,598 84,373 92.41% 51,259 41,659 88,296,165 76.15% 70.37%
West 70,284 58,768 54,672 92.42% 36,077 29,099 55,971,426 75.01% 69.32%
                   
Alabama 4,566 3,563 3,286 92.24% 2,248 1,826 3,787,412 75.39% 69.54%
Alaska 4,493 3,413 3,114 91.20% 2,268 1,831 523,140 75.73% 69.07%
Arizona 4,245 3,370 3,181 94.30% 2,217 1,788 4,887,772 76.00% 71.67%
Arkansas 4,572 3,758 3,546 94.30% 2,082 1,713 2,295,142 78.94% 74.43%
California 15,911 14,260 12,967 90.95% 9,386 7,356 29,425,412 73.70% 67.03%
Colorado 4,841 4,021 3,733 92.89% 2,211 1,794 3,841,413 77.04% 71.57%
Connecticut 4,949 4,254 3,833 90.02% 2,334 1,869 2,921,292 75.48% 67.95%
Delaware 4,886 3,924 3,540 90.25% 2,269 1,839 703,297 76.69% 69.22%
District of Columbia 7,432 6,233 5,390 86.44% 2,154 1,731 477,509 76.04% 65.73%
Florida 21,169 16,631 15,125 90.96% 9,233 7,340 14,990,367 72.64% 66.07%
Georgia 4,605 3,679 3,407 92.60% 2,254 1,845 7,411,948 75.81% 70.20%
Hawaii 4,803 3,924 3,580 91.05% 2,324 1,784 1,032,381 70.24% 63.95%
Idaho 4,288 3,628 3,423 94.38% 2,200 1,816 1,170,159 79.24% 74.78%
Illinois 19,126 16,795 13,866 82.48% 9,410 7,173 10,489,791 70.15% 57.86%
Indiana 4,627 3,895 3,620 92.97% 2,314 1,870 5,162,386 76.42% 71.04%
Iowa 4,298 3,708 3,461 93.54% 2,179 1,816 2,480,524 79.33% 74.20%
Kansas 4,585 3,906 3,660 93.58% 2,262 1,838 2,244,354 79.03% 73.96%
Kentucky 4,844 4,131 3,879 93.90% 2,227 1,808 3,458,472 74.12% 69.60%
Louisiana 4,711 3,431 3,244 94.62% 2,103 1,709 3,572,736 74.78% 70.76%
Maine 6,038 4,347 3,999 91.99% 2,128 1,794 1,132,258 80.30% 73.87%
Maryland 4,641 4,049 3,488 86.19% 2,310 1,868 4,617,078 76.93% 66.30%
Massachusetts 5,143 4,494 3,953 87.91% 2,356 1,870 5,392,046 75.02% 65.94%
Michigan 17,855 14,903 13,478 90.43% 8,966 7,280 8,386,932 76.45% 69.13%
Minnesota 4,141 3,562 3,306 92.95% 2,120 1,776 4,280,064 81.01% 75.30%
Mississippi 4,760 3,575 3,411 95.43% 2,192 1,817 2,355,734 77.45% 73.90%
Missouri 4,384 3,617 3,417 94.49% 2,206 1,808 4,810,835 76.62% 72.40%
Montana 5,045 4,029 3,801 94.34% 2,205 1,823 791,104 78.64% 74.19%
Nebraska 4,744 4,126 3,886 94.18% 2,223 1,825 1,442,493 77.83% 73.30%
Nevada 4,542 3,769 3,553 94.29% 2,211 1,793 2,004,293 75.19% 70.90%
New Hampshire 5,230 4,310 3,891 88.52% 2,202 1,784 1,110,992 77.64% 68.73%
New Jersey 5,158 4,450 3,875 87.05% 2,448 1,824 7,224,999 68.73% 59.83%
New Mexico 4,384 3,629 3,429 94.47% 2,101 1,786 1,583,865 80.36% 75.91%
New York 22,290 19,094 15,501 81.24% 9,554 7,206 16,078,188 69.84% 56.74%
North Carolina 5,312 4,202 3,959 94.21% 2,253 1,861 7,138,547 78.98% 74.41%
North Dakota 5,059 4,133 3,912 94.61% 2,220 1,867 530,038 80.66% 76.32%
Ohio 18,597 15,928 15,021 94.30% 8,952 7,206 9,516,169 75.75% 71.44%
Oklahoma 5,412 4,294 3,960 92.11% 2,319 1,871 2,898,327 77.25% 71.15%
Oregon 4,968 4,215 3,947 93.72% 2,243 1,802 3,076,337 74.22% 69.56%
Pennsylvania 20,141 17,327 15,552 89.72% 8,837 7,258 10,444,137 76.18% 68.35%
Rhode Island 4,749 4,059 3,597 88.57% 2,204 1,809 900,549 78.49% 69.52%
South Carolina 5,247 4,152 3,938 94.84% 2,213 1,831 3,522,378 78.47% 74.42%
South Dakota 4,322 3,495 3,324 95.11% 2,208 1,853 636,455 79.38% 75.50%
Tennessee 4,484 3,809 3,508 91.99% 2,172 1,825 4,972,355 80.19% 73.76%
Texas 16,081 13,172 12,463 94.62% 8,659 7,099 18,378,653 77.04% 72.89%
Utah 3,181 2,742 2,614 95.23% 2,151 1,851 1,951,169 81.40% 77.52%
Vermont 4,793 3,729 3,455 92.75% 2,132 1,796 536,633 80.86% 75.00%
Virginia 4,948 4,222 3,731 88.47% 2,313 1,847 6,171,281 74.48% 65.89%
Washington 4,493 3,748 3,533 94.32% 2,257 1,805 5,256,997 75.58% 71.29%
West Virginia 5,662 4,773 4,498 94.29% 2,258 1,829 1,544,928 75.24% 70.95%
Wisconsin 4,572 3,702 3,460 93.39% 2,248 1,830 4,632,246 77.32% 72.21%
Wyoming 5,090 4,020 3,797 94.45% 2,303 1,870 427,385 77.19% 72.91%
Table A.10 Sample Sizes, Weighted Interview Response Rates, and Population Estimates, by State and Three Age Groups: 2005 and 2006
State 12-17 18-25 26+
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Note: To compute the pooled 2005-2006 weighted response rates, the two samples were combined, and the individual-year weights were used for the pooled sample. Thus, the response rates presented here are weighted across 2 years of data rather than being a simple average of the 2005 and 2006 individual response rates.
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2005 and 2006.
Total U.S. 52,542 45,477 25,373,402 86.28% 54,640 44,916 32,612,899 82.00% 61,657 45,717 186,634,669 72.52%
Northeast 10,694 9,176 4,529,354 84.27% 11,123 8,977 5,786,233 79.54% 12,378 9,057 35,425,504 70.19%
Midwest 14,717 12,731 5,668,185 86.33% 15,197 12,461 7,416,327 81.56% 17,394 12,950 41,527,776 73.51%
South 16,160 14,054 9,108,581 87.04% 16,512 13,796 11,693,293 84.01% 18,587 13,809 67,494,291 73.29%
West 10,971 9,516 6,067,282 86.59% 11,808 9,682 7,717,047 81.25% 13,298 9,901 42,187,097 72.23%
                         
Alabama 686 594 384,026 86.45% 745 630 504,331 84.37% 817 602 2,899,055 72.24%
Alaska 654 565 66,349 86.15% 782 648 74,227 82.75% 832 618 382,565 72.82%
Arizona 629 561 522,702 89.19% 787 621 660,913 79.29% 801 606 3,704,157 73.67%
Arkansas 634 558 233,328 88.33% 709 593 306,500 85.35% 739 562 1,755,313 76.47%
California 2,870 2,437 3,293,484 85.38% 2,996 2,397 4,085,207 80.59% 3,520 2,522 22,046,720 70.73%
Colorado 659 574 389,561 86.62% 697 570 513,260 82.03% 855 650 2,938,592 74.81%
Connecticut 773 667 299,315 84.83% 761 608 349,035 80.99% 800 594 2,272,942 73.25%
Delaware 721 633 69,102 88.63% 699 571 92,344 81.89% 849 635 541,851 74.22%
District of Columbia 651 551 36,509 86.13% 601 522 71,305 86.46% 902 658 369,695 73.33%
Florida 2,869 2,507 1,405,376 87.48% 3,034 2,494 1,765,323 82.26% 3,330 2,339 11,819,668 69.34%
Georgia 754 649 800,536 86.91% 753 640 1,007,170 85.20% 747 556 5,604,242 72.47%
Hawaii 710 585 101,214 82.13% 750 604 124,633 80.87% 864 595 806,534 66.95%
Idaho 675 583 130,072 86.73% 760 637 171,005 84.38% 765 596 869,082 77.12%
Illinois 2,858 2,415 1,100,792 84.26% 2,985 2,308 1,422,772 76.97% 3,567 2,450 7,966,227 67.10%
Indiana 756 637 546,441 84.75% 731 608 702,749 84.05% 827 625 3,913,195 73.91%
Iowa 624 555 244,036 89.04% 724 607 348,756 83.53% 831 654 1,887,732 77.46%
Kansas 744 639 234,307 85.23% 717 586 324,975 81.87% 801 613 1,685,072 77.67%
Kentucky 736 639 339,347 86.50% 653 553 443,407 85.44% 838 616 2,675,718 70.81%
Louisiana 673 605 385,359 90.33% 645 531 523,857 82.51% 785 573 2,663,520 70.91%
Maine 672 592 107,149 87.63% 711 607 133,984 85.18% 745 595 891,125 78.67%
Maryland 697 587 488,407 84.35% 731 613 582,701 84.54% 882 668 3,545,971 74.87%
Massachusetts 716 608 510,948 83.86% 792 637 693,784 81.70% 848 625 4,187,314 72.71%
Michigan 2,813 2,460 901,407 87.88% 2,718 2,258 1,105,696 83.10% 3,435 2,562 6,379,828 73.72%
Minnesota 625 560 437,254 89.63% 749 618 593,399 83.36% 746 598 3,249,410 79.40%
Mississippi 717 635 257,913 89.17% 668 574 339,363 85.86% 807 608 1,758,458 74.04%
Missouri 678 589 490,572 86.39% 743 622 648,988 83.44% 785 597 3,671,275 74.17%
Montana 698 611 77,917 87.96% 726 597 107,581 82.24% 781 615 605,606 76.68%
Nebraska 741 637 148,761 85.68% 710 605 210,037 85.06% 772 583 1,083,695 75.34%
Nevada 674 604 206,623 88.94% 708 586 246,089 83.33% 829 603 1,551,580 72.20%
New Hampshire 691 600 113,655 87.13% 694 554 136,775 80.49% 817 630 860,562 76.11%
New Jersey 760 625 741,478 82.12% 813 617 844,005 75.94% 875 582 5,639,515 65.91%
New Mexico 675 591 173,970 87.26% 666 589 226,724 88.68% 760 606 1,183,171 77.73%
New York 2,968 2,451 1,587,906 81.80% 3,042 2,308 2,106,543 75.54% 3,544 2,447 12,383,739 67.34%
North Carolina 676 585 723,206 86.97% 807 685 900,033 85.62% 770 591 5,515,308 76.69%
North Dakota 683 606 50,524 87.45% 738 630 84,579 85.64% 799 631 394,935 78.74%
Ohio 2,813 2,410 977,997 85.65% 2,964 2,434 1,249,533 81.74% 3,175 2,362 7,288,639 73.35%
Oklahoma 728 609 295,821 83.98% 797 653 415,188 82.03% 794 609 2,187,319 75.30%
Oregon 695 597 297,574 86.14% 703 581 395,092 81.32% 845 624 2,383,671 71.54%
Pennsylvania 2,792 2,464 1,029,986 88.45% 2,846 2,419 1,325,571 85.22% 3,199 2,375 8,088,580 73.04%
Rhode Island 648 572 87,162 89.05% 742 610 125,832 83.20% 814 627 687,555 76.29%
South Carolina 700 619 361,860 87.81% 701 583 461,761 83.70% 812 629 2,698,757 76.43%
South Dakota 693 622 66,214 89.80% 679 588 92,864 87.79% 836 643 477,378 76.43%
Tennessee 701 623 486,247 88.82% 744 623 634,563 84.64% 727 579 3,851,545 78.35%
Texas 2,755 2,401 2,083,455 87.48% 2,678 2,267 2,674,678 84.58% 3,226 2,431 13,620,520 74.02%
Utah 640 587 233,270 92.17% 715 622 364,626 85.69% 796 642 1,353,274 78.48%
Vermont 674 597 51,757 87.61% 722 617 70,705 86.05% 736 582 414,171 79.06%
Virginia 738 630 621,149 83.63% 801 647 782,661 82.04% 774 570 4,767,472 71.90%
Washington 688 609 532,240 88.69% 726 578 686,791 79.78% 843 618 4,037,966 73.14%
West Virginia 724 629 136,941 87.15% 746 617 188,109 82.23% 788 583 1,219,878 72.78%
Wisconsin 689 601 469,879 87.02% 739 597 631,978 78.59% 820 632 3,530,390 75.85%
Wyoming 704 612 42,307 87.97% 792 652 60,899 82.42% 807 606 324,179 74.80%
Table A.11 Sample Sizes, Weighted Interview Response Rates, and Population Estimates among Persons Aged 12 to 20, by State: 2004, 2005, and 2006
State 2004 2005 2006
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2004, 2005, and 2006.
Total U.S. 35,343 31,221 37,736,765 88.01 35,962 31,276 38,322,622 86.79 36,754 31,342 38,184,777 84.92
Northeast 7,099 6,177 6,779,496 86.44 7,367 6,362 6,862,873 85.12 7,559 6,357 6,808,407 82.53
Midwest 10,028 8,824 8,565,324 87.15 10,115 8,791 8,673,459 86.43 10,179 8,666 8,488,925 85.03
South 10,644 9,499 13,363,478 89.33 11,005 9,610 13,759,151 87.71 11,329 9,764 13,770,324 85.84
West 7,572 6,721 9,028,467 88.02 7,475 6,513 9,027,139 87.00 7,687 6,555 9,117,121 85.21
                         
Alabama 474 424 609,056 88.81 476 406 561,692 84.90 499 439 612,196 87.37
Alaska 484 428 97,677 87.90 471 399 99,010 85.69 499 416 95,199 82.41
Arizona 460 391 692,728 85.11 452 390 751,497 86.68 465 399 801,413 85.79
Arkansas 483 425 360,424 87.61 446 397 359,907 89.87 474 411 378,803 87.39
California 1,975 1,737 4,886,817 87.62 1,933 1,661 4,922,871 86.48 2,007 1,681 4,883,362 84.24
Colorado 490 436 590,904 90.26 454 396 591,421 87.50 436 375 562,030 85.25
Connecticut 482 427 429,774 88.45 531 456 421,226 83.41 510 429 421,119 84.66
Delaware 492 425 103,646 86.64 512 442 104,549 86.77 449 391 104,557 87.08
District of Columbia 439 393 55,748 90.02 404 347 52,853 87.53 439 378 66,559 87.92
Florida 1,943 1,687 2,041,124 86.80 2,024 1,766 2,195,868 87.59 2,034 1,757 2,127,307 85.94
Georgia 423 376 1,072,483 88.79 511 456 1,218,322 89.69 572 490 1,254,765 85.97
Hawaii 434 395 146,333 91.25 494 427 154,805 87.81 490 393 140,236 78.61
Idaho 457 417 208,478 91.75 439 390 189,293 88.49 482 410 206,568 86.24
Illinois 1,880 1,655 1,658,743 88.14 1,977 1,655 1,647,182 83.85 1,923 1,609 1,644,639 82.95
Indiana 479 406 821,329 82.80 516 448 870,085 87.47 527 437 810,463 83.97
Iowa 479 430 387,153 90.72 412 377 369,113 91.12 471 395 369,185 83.32
Kansas 412 369 357,889 90.00 491 444 359,239 90.12 512 414 372,583 79.75
Kentucky 486 426 509,725 87.63 473 415 497,495 87.23 506 429 509,169 85.20
Louisiana 469 434 638,363 93.03 454 405 613,485 89.44 438 389 541,357 88.47
Maine 466 406 161,056 86.28 440 394 165,943 88.96 526 455 165,874 85.39
Maryland 455 418 698,869 91.70 448 389 702,671 87.16 492 411 704,270 82.90
Massachusetts 466 404 761,421 86.79 524 459 814,048 86.43 492 400 797,860 81.53
Michigan 2,022 1,786 1,362,028 88.13 1,940 1,678 1,339,651 86.40 1,868 1,629 1,304,963 87.43
Minnesota 466 410 647,035 87.57 451 396 639,420 87.19 405 359 633,052 90.02
Mississippi 434 403 377,607 92.62 519 465 429,346 89.98 502 448 416,500 90.49
Missouri 482 407 739,176 82.71 476 407 741,962 85.34 481 419 753,996 86.35
Montana 476 415 125,547 87.01 481 422 117,723 88.34 470 403 117,066 85.58
Nebraska 398 349 214,257 87.57 497 442 221,475 87.62 497 418 233,340 85.09
Nevada 424 381 272,295 89.35 459 409 297,203 88.97 441 384 296,994 86.24
New Hampshire 463 402 171,351 86.24 439 368 164,861 84.76 508 439 172,530 86.47
New Jersey 446 373 1,040,817 81.91 537 455 1,122,017 84.15 497 398 1,004,017 80.56
New Mexico 477 437 267,026 90.81 449 400 257,534 89.82 463 407 262,895 87.53
New York 1,923 1,643 2,386,440 85.64 2,005 1,672 2,362,022 82.49 2,058 1,624 2,426,076 78.10
North Carolina 462 415 1,040,105 89.50 423 364 1,044,818 86.53 548 476 1,119,962 87.00
North Dakota 515 464 91,193 89.71 487 438 81,775 88.54 496 427 90,517 86.25
Ohio 1,965 1,712 1,477,159 86.84 1,898 1,633 1,483,411 85.15 2,035 1,725 1,475,834 85.27
Oklahoma 468 416 451,625 89.08 499 419 459,199 84.19 520 432 450,592 83.44
Oregon 487 425 448,317 87.18 467 392 440,687 83.47 480 422 445,510 87.89
Pennsylvania 1,865 1,661 1,601,008 89.67 1,975 1,744 1,590,700 88.67 1,934 1,715 1,595,641 88.93
Rhode Island 515 443 148,022 87.42 444 392 140,652 88.77 492 427 136,938 88.09
South Carolina 431 384 503,928 89.79 470 412 536,423 87.93 474 416 535,586 86.48
South Dakota 427 396 105,280 91.57 472 429 105,554 91.18 464 408 100,335 88.12
Tennessee 408 379 687,831 92.64 496 432 727,398 88.03 485 425 735,982 86.63
Texas 1,876 1,679 3,070,551 89.67 1,868 1,648 3,139,614 88.30 1,871 1,602 3,067,870 85.80
Utah 466 430 360,286 92.16 473 436 372,515 91.82 410 375 380,898 91.75
Vermont 473 418 79,607 88.84 472 422 81,405 88.39 542 470 88,350 86.19
Virginia 434 389 915,164 87.44 487 418 904,092 85.64 522 432 930,209 81.32
Washington 513 454 863,672 87.17 425 374 768,080 87.74 546 469 861,788 85.86
West Virginia 467 426 227,229 91.82 495 429 211,418 87.11 504 438 214,640 86.71
Wisconsin 503 440 704,083 88.50 498 444 814,592 88.49 500 426 700,020 83.19
Wyoming 429 375 68,388 89.04 478 417 64,500 86.86 498 421 63,161 85.71
Table A.12 Sample Sizes, Weighted Interview Response Rates, and Population Estimates among Persons Aged 12 to 20, by State: 2004-2005 and 2005-2006
State 2004-2005 2005-2006
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total
Selected
Total
Responded
Population
Estimate
Weighted
Interview
Response
Rate
Total U.S. 71,305 62,497 38,029,693 87.40 72,716 62,618 38,253,699 85.86
NOTE: To compute the pooled weighted response rates, the two samples were combined, and the individual-year weights were used for the pooled sample. Thus, the response rates presented here are weighted across 2 years of data rather than being a simple average of the individual response rates.
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2004, 2005, and 2006.
Northeast 14,466 12,539 6,821,185 85.78 14,926 12,719 6,835,640 83.84
Midwest 20,143 17,615 8,619,391 86.79 20,294 17,457 8,581,192 85.73
South 21,649 19,109 13,561,314 88.51 22,334 19,374 13,764,737 86.78
West 15,047 13,234 9,027,803 87.51 15,162 13,068 9,072,130 86.10
                 
Alabama 950 830 585,374 86.91 975 845 586,944 86.14
Alaska 955 827 98,344 86.77 970 815 97,105 84.09
Arizona 912 781 722,112 85.91 917 789 776,455 86.22
Arkansas 929 822 360,166 88.74 920 808 369,355 88.60
California 3,908 3,398 4,904,844 87.05 3,940 3,342 4,903,116 85.36
Colorado 944 832 591,163 88.87 890 771 576,725 86.42
Connecticut 1,013 883 425,500 85.95 1,041 885 421,173 84.05
Delaware 1,004 867 104,097 86.71 961 833 104,553 86.92
District of Columbia 843 740 54,301 88.80 843 725 59,706 87.75
Florida 3,967 3,453 2,118,496 87.21 4,058 3,523 2,161,587 86.78
Georgia 934 832 1,145,402 89.27 1,083 946 1,236,544 87.86
Hawaii 928 822 150,569 89.45 984 820 147,521 83.38
Idaho 896 807 198,886 90.19 921 800 197,931 87.33
Illinois 3,857 3,310 1,652,963 86.01 3,900 3,264 1,645,911 83.40
Indiana 995 854 845,707 85.13 1,043 885 840,274 85.75
Iowa 891 807 378,133 90.91 883 772 369,149 87.04
Kansas 903 813 358,564 90.06 1,003 858 365,911 84.85
Kentucky 959 841 503,610 87.43 979 844 503,332 86.21
Louisiana 923 839 625,924 91.30 892 794 577,421 88.98
Maine 906 800 163,500 87.63 966 849 165,908 87.19
Maryland 903 807 700,770 89.46 940 800 703,471 85.01
Massachusetts 990 863 787,734 86.60 1,016 859 805,954 84.02
Michigan 3,962 3,464 1,350,839 87.28 3,808 3,307 1,322,307 86.91
Minnesota 917 806 643,228 87.38 856 755 636,236 88.59
Mississippi 953 868 403,476 91.25 1,021 913 422,923 90.23
Missouri 958 814 740,569 84.03 957 826 747,979 85.85
Montana 957 837 121,635 87.66 951 825 117,395 86.98
Nebraska 895 791 217,866 87.59 994 860 227,407 86.35
Nevada 883 790 284,749 89.17 900 793 297,099 87.57
New Hampshire 902 770 168,106 85.51 947 807 168,696 85.62
New Jersey 983 828 1,081,417 83.06 1,034 853 1,063,017 82.44
New Mexico 926 837 262,280 90.32 912 807 260,214 88.68
New York 3,928 3,315 2,374,231 84.07 4,063 3,296 2,394,049 80.29
North Carolina 885 779 1,042,462 88.06 971 840 1,082,390 86.77
North Dakota 1,002 902 86,484 89.15 983 865 86,146 87.38
Ohio 3,863 3,345 1,480,285 86.00 3,933 3,358 1,479,622 85.21
Oklahoma 967 835 455,412 86.61 1,019 851 454,896 83.82
Oregon 954 817 444,502 85.34 947 814 443,099 85.70
Pennsylvania 3,840 3,405 1,595,854 89.17 3,909 3,459 1,593,171 88.80
Rhode Island 959 835 144,337 88.07 936 819 138,795 88.44
South Carolina 901 796 520,175 88.85 944 828 536,004 87.19
South Dakota 899 825 105,417 91.37 936 837 102,945 89.72
Tennessee 904 811 707,614 90.29 981 857 731,690 87.33
Texas 3,744 3,327 3,105,082 88.98 3,739 3,250 3,103,742 87.07
Utah 939 866 366,401 91.99 883 811 376,707 91.79
Vermont 945 840 80,506 88.61 1,014 892 84,877 87.25
Virginia 921 807 909,628 86.53 1,009 850 917,151 83.48
Washington 938 828 815,876 87.45 971 843 814,934 86.76
West Virginia 962 855 219,323 89.56 999 867 213,029 86.91
Wisconsin 1,001 884 759,337 88.49 998 870 757,306 86.01
Wyoming 907 792 66,444 87.97 976 838 63,830 86.28
Table A.13 Outcomes, by Survey Year, for Which Small Area Estimates Are Available
Measure State Report Year
2002-2003 2003-2004 2004-2005 2005-2006
1 Estimates for these outcomes were not included in the 2002-2003 State report (Wright & Sathe, 2005), but the 2002-2003 estimates are included in the 2003-2004 State report as part of estimates of change tables (see Wright & Sathe, 2006). However the prediction intervals associated with these were not published.
2 Estimates for serious psychological distress in the years 2002-2003 and 2003-2004 are not comparable with estimates from 2004-2005 and 2005-2006 (for details, see Section A.7).
3 Questions used to determine a major depressive episode were added in 2004.
image representing check mark = available, image representing x = not available.
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2002, 2003, 2004, 2005, and 2006.
Illicit Drug Use in Past Month image representing check mark image representing check mark image representing check mark image representing check mark
Marijuana Use in Past Year image representing check mark image representing check mark image representing check mark image representing check mark
Marijuana Use in Past Month image representing check mark image representing check mark image representing check mark image representing check mark
Perceptions of Great Risk of Smoking Marijuana Once a Month image representing check mark image representing check mark image representing check mark image representing check mark
First Use of Marijuana image representing check mark image representing check mark image representing check mark image representing check mark
Illicit Drug Use Other Than Marijuana in Past Month image representing check mark image representing check mark image representing check mark image representing check mark
Cocaine Use in Past year image representing check mark image representing check mark image representing check mark image representing check mark
Nonmedical Use of Pain Relievers in Past Year image representing x1 image representing check mark image representing check mark image representing check mark
Alcohol Use in Past Month image representing check mark image representing check mark image representing check mark image representing check mark
Underage Past Month Use of Alcohol image representing x1 image representing check mark image representing check mark image representing check mark
Binge Alcohol Use in Past Month image representing check mark image representing check mark image representing check mark image representing check mark
Underage Past Month Binge Alcohol Use image representing x1 image representing check mark image representing check mark image representing check mark
Perceptions of Great Risk of Having Five or More Drinks of an Alcoholic Beverage Once or Twice a Week image representing check mark image representing check mark image representing check mark image representing check mark
Tobacco Product Use in Past Month image representing check mark image representing check mark image representing check mark image representing check mark
Cigarette Use in Past Month image representing check mark image representing check mark image representing check mark image representing check mark
Perceptions of Great Risk of Smoking One or More Packs of Cigarettes Per Day image representing check mark image representing check mark image representing check mark image representing check mark
Alcohol Dependence or Abuse in Past Year image representing check mark image representing check mark image representing check mark image representing check mark
Alcohol Dependence in Past Year image representing check mark image representing check mark image representing check mark image representing check mark
Illicit Drug Dependence or Abuse in Past Year image representing check mark image representing check mark image representing check mark image representing check mark
Illicit Drug Dependence in Past Year image representing check mark image representing check mark image representing check mark image representing check mark
Dependence on or Abuse of Illicit Drugs or Alcohol in Past Year image representing check mark image representing check mark image representing check mark image representing check mark
Needing But Not Receiving Treatment for Illicit Drug Use in Past Year image representing check mark image representing check mark image representing check mark image representing check mark
Needing But Not Receiving Treatment for Alcohol Use in Past Year image representing check mark image representing check mark image representing check mark image representing check mark
Serious Psychological Distress in Past Year2 image representing check mark image representing check mark image representing check mark image representing check mark
Having at Least One Major Depressive Episode in Past Year 3 image representing x image representing x image representing check mark image representing check mark


End Notes

8 Substances include alcohol, marijuana, cocaine, heroin, hallucinogens, inhalants, pain relievers, tranquilizers, stimulants, and sedatives.

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This page was last updated on December 30, 2008.