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2005 State Estimates of Substance Use & Mental Health

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Appendix A: State Estimation Methodology

This report includes estimates of 23 substance use measures (see Section A.1) using the combined data from the 2004 and 2005 National Surveys on Drug Use and Health (NSDUHs). In addition to the 22 substance use measures for which age group–specific State estimates were produced and documented in the 2004 State report (Wright & Sathe, 2006), a new measure, "having at least one major depressive episode (MDE) in the past year" is introduced in this report. Also included in this report are estimates of change between 2003-2004 and 2004-2005 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 1999-2004 surveys also was used in the production of the 2004-2005 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 2004-2005 small area estimation (SAE) modeling is given in Section A.2. The methodology used to select relevant predictors remains similar to the one used in prior years and is described in brief 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 2003, 2004, 2005, pooled 2003-2004, and pooled 2004-2005 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.

Included in this report are estimates of underage (aged 12 to 20) alcohol use and binge alcohol use. For all other outcomes, the age groups of interest were 12 to 17, 18 to 25, and 26 or older. As alcohol consumption is expected to differ significantly across the 18 to 25 age group due to the legalization of alcohol at age 21, 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 how the serious psychological distress (SPD) estimates were produced. Section A.8 discusses production of MDE estimates. The methodology used to produce estimates of change between the 2003-2004 and the 2004-2005 State estimates is described in Section A.9.

A.1 Variables Modeled

The 2005 NSDUH data were pooled with the 2004 NSDUH data, and age group–specific State estimates for 23 binary (0,1) outcome variables were produced and presented in this report. These estimates are 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).

The estimates of change between the 2003-2004 and 2004-2005 State estimates were produced for all these outcomes except for SPD and MDE.

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 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 list of 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
=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 ARF County
Per capita income (in thousands) ARF County
Average suicide rate (per 10,000) ARF 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

New variable selection was done for SPD and MDE using the pooled 2004-2005 NSDUH data. Estimates for MDE are being produced in this report for the first time; hence, no prior fixed-effect predictors were available. For SPD (as discussed in Section A.7) because we were producing estimates for the short-form version of SPD for the first time, new variable selection was conducted. Variable selection was conducted in a manner consistent with prior years (Wright & Sathe, 2005).

For all the other outcome variables, no new variable selection was done. The updated versions of fixed-effect predictors that were used in modeling the 2002-2003 and 2003-2004 data were used to model the 2004-2005 data. Because the interest was to estimate change between the 2003-2004 and 2004-2005 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 2004-2005) is adjusted by adding the common factor image representing deltaa = (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 image representing thetasa = Psa + image representing deltaa. 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[image representing thetasa/(1 - image representing thetasa)] - 1.96 * image representing the square root of MSE sub s and a,

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

MSEsa = (log[Psa/(1 - Psa)]- log[image representing thetasa/(1 - image representing thetasa)])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 2005 to indicate first use as early as the first part of 2003 or as late as the first part of 2005. Similarly, a subject interviewed in the last part of 2005 could indicate first use as early as the last part of 2003 or as late as the last part of 2005. Therefore, in the 2005 survey, the reported period of first use ranged from early 2003 to late 2005 and was "centered" in 2004. About 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. Persons who responded in 2005 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 2004 survey ranged from early 2002 to late 2004 and were centered in 2003. Half of the 12 to 17 year olds who reported first use in the past 24 months reported first use in 2003, while a quarter each reported first use in 2002 and 2004. 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. New variable selection (using the same methodology as described in Section A.3) was done for the 18 to 20 age group. Even though separate models were fit for the 12 to 17 age group along with the 18 to 20 year olds, no new variable selection was done for the 12 to 17 age group. 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 2003-2004 and 2004-2005 estimates for underage drinking in the States also are presented in this report.

A.7 Serious Psychological Distress

In 2005, 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, 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). The small area estimates presented in prior reports are not comparable because they were based on the "long-form" version of SPD. Hence, measures of change between 2003-2004 and 2004-2005 are not presented in this report.

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.

A.8 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 Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) (American Psychiatric Association [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 were the only ones 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 adolescents aged 12 to 17 were administered the adolescent depression module. In 2005, 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.

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 2005 NSDUH's national results report (Office of Applied Studies [OAS], 2006b, pp. 125-129). Because MDE was not asked about in 2003 and prior years, no estimates of change are available for it.

A.9 Measuring Change in State Estimates between 2003-2004 and 2004-2005

The estimates of change between State estimates displayed in Appendix C are based on the 2003 through 2005 NSDUHs. The State estimates for 2003-2004 are the previously published model-based small area estimates (see Wright & Sathe, 2006). The State estimates for 2004-2005 are the small area estimates given in Appendix B. The moving average State prevalence estimates for the overlapping 2003-2004 and 2004-2005 time periods were obtained from independent applications of RTI's SWHB methodology; that is, the 2004-2005 models were fit independently of the previously fitted 2003-2004 models. This independent analysis approach was followed because there was no desire to revise the previously published estimates. Moreover, the same fixed predictor variables were used in the 2003-2004 and 2004-2005 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, 2000 decennial census block group-level, tract-level, county-level, and State-level). Also, each age group model had 51 State-level random effects and 300 substate region–level random effects.

To estimate change in State estimates, let image representing pisa(1) and image representing pisa(2) denote 2003-2004 and 2004-2005 prevalence rates, respectively, for State-s and age group-a. The change between image representing pisa(1) and image representing pi sa(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 image representing pisa(2)image representing pisa(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., image representing pisa(2) = image representing pisa(1) or equivalently lorsa = 0). An estimate of lorsa is given by

Equation A-3     D

where the psa(1) are previously published 2003-2004 State estimates and the psa(2) are the 2004-2005 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 2003-2004 prediction intervals (PIs) and the 2004-2005 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 2003, 2004, and 2005 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 substate 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 logarithm of Pi 1 sub s and a, divided by 1 minus Pi 1 sub s and a and logarithm of Pi 1 sub s and a, divided by 1 minus Pi 1 sub s and a 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 [Z ≥ abs(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: 2003
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, 2003.
Overall 170,762 143,485 130,605 90.72% 81,631 67,784 237,682,009 77.39% 70.21%
Alabama 2,071 1,712 1,558 91.14% 1,029 879 3,699,723 79.60% 72.55%
Alaska 2,314 1,814 1,666 91.97% 1,098 883 505,278 75.00% 68.98%
Arizona 2,159 1,757 1,662 94.64% 1,057 897 4,473,518 81.20% 76.85%
Arkansas 2,258 1,850 1,767 95.53% 1,092 922 2,228,670 79.84% 76.27%
California 7,687 6,858 6,015 86.86% 4,471 3,600 28,673,990 73.76% 64.07%
Colorado 2,225 1,855 1,709 92.06% 1,103 911 3,701,560 78.79% 72.53%
Connecticut 2,623 2,288 2,073 90.56% 1,128 933 2,880,493 76.25% 69.06%
Delaware 2,419 1,936 1,774 91.59% 1,105 911 671,922 75.12% 68.80%
District of Columbia 3,692 3,078 2,576 83.69% 1,116 949 476,873 80.38% 67.27%
Florida 10,451 8,453 7,575 89.77% 4,414 3,541 14,145,707 73.68% 66.14%
Georgia 2,112 1,734 1,612 92.81% 1,088 902 6,951,437 79.46% 73.74%
Hawaii 2,259 1,953 1,767 90.25% 1,142 928 1,013,259 73.21% 66.07%
Idaho 1,998 1,596 1,509 94.45% 1,112 912 1,099,895 77.63% 73.32%
Illinois 9,163 8,128 6,803 83.45% 4,652 3,711 10,319,948 74.36% 62.05%
Indiana 2,046 1,741 1,637 94.11% 1,082 903 5,049,910 79.37% 74.69%
Iowa 2,035 1,829 1,721 94.16% 993 884 2,448,928 85.81% 80.79%
Kansas 2,042 1,744 1,638 93.94% 1,041 875 2,209,221 81.11% 76.20%
Kentucky 2,266 1,991 1,878 94.25% 1,102 908 3,381,254 75.69% 71.34%
Louisiana 2,084 1,757 1,637 93.12% 1,095 943 3,618,197 81.80% 76.17%
Maine 2,827 2,240 2,045 91.21% 1,094 928 1,113,100 82.07% 74.86%
Maryland 1,899 1,673 1,475 88.04% 1,000 863 4,510,290 82.58% 72.70%
Massachusetts 2,413 2,129 1,878 88.16% 1,220 964 5,377,359 75.04% 66.16%
Michigan 9,000 7,447 6,709 90.14% 4,353 3,667 8,316,442 79.06% 71.26%
Minnesota 2,029 1,801 1,673 92.73% 1,052 909 4,193,331 82.14% 76.17%
Mississippi 2,196 1,732 1,650 95.33% 1,078 899 2,311,859 78.81% 75.13%
Missouri 2,495 2,042 1,912 93.64% 1,105 932 4,683,914 81.99% 76.77%
Montana 2,384 1,871 1,766 94.40% 1,068 911 767,946 79.57% 75.12%
Nebraska 1,996 1,716 1,622 94.51% 1,071 918 1,418,952 79.62% 75.25%
Nevada 2,071 1,751 1,663 94.91% 1,072 902 1,818,116 79.78% 75.71%
New Hampshire 2,015 1,688 1,568 92.94% 1,112 910 1,082,138 76.29% 70.90%
New Jersey 2,564 2,287 1,981 86.56% 1,126 883 7,118,305 72.97% 63.17%
New Mexico 2,260 1,822 1,740 95.42% 1,132 944 1,520,180 77.03% 73.50%
New York 9,973 8,575 7,205 83.97% 4,609 3,634 15,948,708 71.96% 60.42%
North Carolina 2,239 1,852 1,753 94.65% 1,086 904 6,805,722 79.21% 74.98%
North Dakota 2,072 1,714 1,619 94.57% 977 867 525,140 87.43% 82.69%
Ohio 8,874 7,690 7,246 94.17% 4,313 3,559 9,433,820 75.91% 71.49%
Oklahoma 2,455 1,972 1,812 91.80% 1,042 871 2,846,785 78.62% 72.17%
Oregon 2,102 1,853 1,760 94.94% 1,095 912 2,970,969 79.79% 75.75%
Pennsylvania 9,866 8,252 7,482 90.76% 4,214 3,572 10,356,055 80.56% 73.12%
Rhode Island 2,255 1,991 1,772 88.58% 1,141 914 903,348 75.20% 66.61%
South Carolina 2,205 1,807 1,723 95.45% 1,109 920 3,384,520 79.64% 76.02%
South Dakota 2,154 1,749 1,660 94.78% 980 881 621,498 86.26% 81.76%
Tennessee 2,290 1,978 1,864 94.27% 1,004 856 4,823,157 79.89% 75.32%
Texas 7,901 6,466 6,079 94.03% 4,231 3,566 17,432,369 79.14% 74.42%
Utah 1,623 1,392 1,325 95.14% 995 898 1,816,737 87.98% 83.71%
Vermont 2,638 2,047 1,909 93.19% 1,092 917 530,133 79.87% 74.43%
Virginia 2,168 1,908 1,667 87.33% 1,076 907 5,951,031 78.61% 68.65%
Washington 2,475 2,033 1,920 94.43% 1,128 941 5,053,331 78.65% 74.28%
West Virginia 2,923 2,384 2,236 93.83% 1,058 871 1,534,650 78.86% 74.00%
Wisconsin 2,282 1,793 1,655 92.28% 1,046 887 4,546,217 77.76% 71.76%
Wyoming 2,214 1,756 1,659 94.48% 1,032 885 416,105 84.33% 79.67%

Table A.2 Sample Sizes, Weighted Interview Response Rates, and Population Estimates, by State and Three Age Groups: 2003
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, 2003.
Overall 25,387 22,696 24,995,357 89.57% 27,259 22,941 31,728,286 83.47% 28,985 22,147 180,958,366 74.63%
Alabama 324 297 382,688 92.61% 394 340 501,543 86.10% 311 242 2,815,492 76.33%
Alaska 348 298 68,750 86.80% 378 314 67,522 82.66% 372 271 369,006 71.30%
Arizona 346 314 493,252 91.48% 377 317 611,163 84.15% 334 266 3,369,104 78.82%
Arkansas 352 320 233,744 91.18% 356 301 304,728 85.42% 384 301 1,690,198 77.24%
California 1,381 1,236 3,161,827 89.71% 1,463 1,195 3,928,708 81.65% 1,627 1,169 21,583,456 69.91%
Colorado 327 292 385,020 88.53% 379 305 499,513 79.29% 397 314 2,817,027 77.43%
Connecticut 313 279 292,982 88.47% 423 353 331,774 83.64% 392 301 2,255,738 73.62%
Delaware 344 305 68,298 88.69% 373 315 89,106 84.55% 388 291 514,518 71.54%
District of Columbia 370 326 32,832 88.64% 373 326 73,453 87.28% 373 297 370,589 78.33%
Florida 1,377 1,203 1,360,537 87.23% 1,418 1,171 1,626,149 81.73% 1,619 1,167 11,159,021 71.02%
Georgia 342 308 756,648 88.43% 323 267 959,782 84.93% 423 327 5,235,007 77.32%
Hawaii 388 353 100,981 90.91% 329 275 121,594 83.63% 425 300 790,684 69.33%
Idaho 331 299 128,037 90.50% 348 287 166,977 81.40% 433 326 804,881 74.87%
Illinois 1,423 1,238 1,083,365 86.69% 1,537 1,242 1,395,959 81.48% 1,692 1,231 7,840,623 71.43%
Indiana 338 308 545,217 90.65% 365 292 710,330 79.87% 379 303 3,794,364 77.73%
Iowa 329 304 245,539 89.91% 333 292 353,759 87.71% 331 288 1,849,631 84.81%
Kansas 317 280 240,109 87.93% 363 309 322,145 84.48% 361 286 1,646,967 79.40%
Kentucky 349 306 337,609 86.98% 349 293 451,685 83.75% 404 309 2,591,960 72.97%
Louisiana 353 321 405,066 92.36% 382 335 541,507 86.50% 360 287 2,671,623 79.32%
Maine 345 304 110,584 87.73% 388 330 132,168 86.27% 361 294 870,349 80.84%
Maryland 318 292 481,268 90.86% 280 237 547,577 83.87% 402 334 3,481,445 81.21%
Massachusetts 344 303 514,569 88.08% 414 324 674,611 76.98% 462 337 4,188,180 73.23%
Michigan 1,336 1,196 898,823 89.25% 1,536 1,323 1,104,530 86.20% 1,481 1,148 6,313,089 76.36%
Minnesota 393 357 445,182 91.19% 311 270 581,147 85.52% 348 282 3,167,002 80.08%
Mississippi 310 284 257,972 93.11% 347 293 348,335 85.15% 421 322 1,705,552 75.67%
Missouri 363 312 493,755 86.13% 385 329 635,283 85.62% 357 291 3,554,877 80.74%
Montana 308 272 81,338 88.05% 395 350 105,014 88.66% 365 289 581,594 76.60%
Nebraska 325 295 152,127 91.02% 404 351 207,187 86.79% 342 272 1,059,638 76.51%
Nevada 306 278 187,341 90.35% 364 312 222,655 86.49% 402 312 1,408,120 77.26%
New Hampshire 328 288 114,288 88.06% 399 332 132,490 83.61% 385 290 835,361 73.63%
New Jersey 326 288 726,704 88.67% 373 287 807,111 75.67% 427 308 5,584,490 70.62%
New Mexico 354 319 177,001 90.44% 365 316 213,899 87.67% 413 309 1,129,280 73.13%
New York 1,392 1,232 1,559,994 88.11% 1,534 1,227 2,046,657 80.51% 1,683 1,175 12,342,057 68.43%
North Carolina 324 285 693,740 88.12% 420 352 884,534 84.21% 342 267 5,227,448 77.02%
North Dakota 285 259 54,050 91.09% 309 276 82,629 89.55% 383 332 388,461 86.51%
Ohio 1,356 1,199 984,255 88.08% 1,435 1,229 1,244,999 85.43% 1,522 1,131 7,204,566 72.56%
Oklahoma 374 329 300,218 88.45% 316 272 413,370 84.45% 352 270 2,133,197 75.75%
Oregon 345 313 296,519 90.45% 377 309 390,879 82.15% 373 290 2,283,571 78.02%
Pennsylvania 1,367 1,232 1,030,859 90.72% 1,350 1,160 1,309,752 85.92% 1,497 1,180 8,015,444 78.25%
Rhode Island 361 308 86,777 85.36% 375 313 127,775 84.68% 405 293 688,797 71.97%
South Carolina 343 307 354,988 89.36% 373 311 458,297 82.69% 393 302 2,571,235 77.80%
South Dakota 301 281 69,339 94.03% 344 315 92,111 92.37% 335 285 460,048 83.73%
Tennessee 346 324 474,491 93.33% 270 223 632,850 80.82% 388 309 3,715,817 77.93%
Texas 1,279 1,153 2,033,118 90.38% 1,414 1,222 2,546,961 86.63% 1,538 1,191 12,852,291 75.82%
Utah 304 286 231,320 94.61% 321 301 357,456 94.31% 370 311 1,227,961 85.08%
Vermont 351 306 53,957 87.12% 355 306 71,119 85.94% 386 305 405,058 77.88%
Virginia 324 298 614,433 91.96% 368 311 749,393 82.44% 384 298 4,587,205 76.33%
Washington 369 344 527,057 93.61% 390 321 666,923 82.04% 369 276 3,859,351 75.89%
West Virginia 324 281 139,083 86.58% 371 306 195,671 82.42% 363 284 1,199,896 77.34%
Wisconsin 291 271 482,916 92.43% 405 349 627,502 85.36% 350 267 3,435,798 74.33%
Wyoming 343 313 44,796 92.11% 308 255 60,007 84.13% 381 317 311,302 83.18%

Table A.3 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.
Overall 169,514 142,612 130,130 90.92% 81,973 67,760 240,514,815 77.00% 70.01%
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.4 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.
Overall 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%
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.5 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.
Overall 175,958 146,912 134,055 91.33% 83,805 68,308 243,220,283 76.19% 69.58%
Alabama 2,320 1,779 1,653 93.00% 1,118 914 3,773,741 77.10% 71.70%
Alaska 2,245 1,717 1,592 92.71% 1,137 921 519,047 75.22% 69.74%
Arizona 1,945 1,609 1,518 94.18% 1,112 908 4,791,433 78.75% 74.16%
Arkansas 2,194 1,854 1,753 94.54% 1,040 851 2,285,001 77.70% 73.45%
California 7,672 6,875 6,297 91.57% 4,633 3,699 29,214,010 75.57% 69.20%
Colorado 2,333 1,951 1,839 94.26% 1,110 895 3,793,427 75.30% 70.97%
Connecticut 2,602 2,250 2,042 90.77% 1,201 978 2,915,935 77.45% 70.31%
Delaware 2,473 1,994 1,824 91.53% 1,160 942 700,649 76.05% 69.61%
District of Columbia 3,628 3,072 2,655 86.34% 1,071 851 461,073 74.67% 64.47%
Florida 10,631 8,280 7,581 91.61% 4,606 3,669 14,828,967 72.57% 66.47%
Georgia 2,328 1,849 1,721 92.99% 1,108 920 7,294,559 78.52% 73.01%
Hawaii 2,404 1,900 1,735 91.06% 1,134 895 1,027,252 71.95% 65.52%
Idaho 2,036 1,745 1,646 94.39% 1,087 915 1,158,701 81.04% 76.50%
Illinois 9,357 8,281 6,864 82.81% 4,731 3,661 10,446,542 71.84% 59.49%
Indiana 2,290 1,944 1,845 94.87% 1,117 900 5,133,632 73.79% 70.01%
Iowa 2,010 1,733 1,636 94.39% 1,088 923 2,486,265 79.03% 74.59%
Kansas 2,383 2,034 1,895 92.97% 1,133 938 2,242,553 79.53% 73.94%
Kentucky 2,403 2,070 1,940 93.74% 1,086 895 3,447,472 74.87% 70.18%
Louisiana 2,273 1,740 1,645 94.56% 1,017 840 3,667,177 76.58% 72.41%
Maine 2,834 2,113 1,940 91.83% 1,041 891 1,133,884 80.22% 73.66%
Maryland 2,315 2,027 1,739 85.78% 1,156 941 4,595,815 76.80% 65.88%
Massachusetts 2,538 2,246 2,009 89.32% 1,187 960 5,368,881 74.44% 66.49%
Michigan 9,190 7,629 6,898 90.37% 4,503 3,655 8,384,776 76.32% 68.97%
Minnesota 1,899 1,641 1,555 94.74% 1,063 904 4,273,652 81.74% 77.44%
Mississippi 2,369 1,780 1,697 95.39% 1,106 930 2,361,852 80.33% 76.63%
Missouri 2,119 1,762 1,666 94.57% 1,073 884 4,802,657 78.08% 73.84%
Montana 2,571 1,976 1,866 94.42% 1,083 914 791,608 79.72% 75.28%
Nebraska 2,377 2,072 1,953 94.24% 1,127 935 1,442,367 77.51% 73.05%
Nevada 2,262 1,907 1,797 94.28% 1,111 917 1,969,076 76.12% 71.77%
New Hampshire 2,500 2,086 1,883 87.02% 1,098 881 1,107,223 77.35% 67.31%
New Jersey 2,466 2,114 1,866 88.21% 1,197 925 7,195,333 70.39% 62.09%
New Mexico 2,176 1,811 1,713 94.56% 1,036 902 1,578,514 83.61% 79.06%
New York 10,878 9,398 7,676 81.75% 4,683 3,622 16,034,185 71.14% 58.15%
North Carolina 2,308 1,789 1,684 94.11% 1,035 861 7,058,554 79.25% 74.59%
North Dakota 2,487 2,059 1,950 94.68% 1,097 933 533,566 81.83% 77.48%
Ohio 8,990 7,750 7,310 94.37% 4,403 3,579 9,513,391 76.84% 72.51%
Oklahoma 2,497 1,989 1,872 94.15% 1,159 946 2,897,287 78.34% 73.76%
Oregon 2,423 2,093 1,962 93.89% 1,142 920 3,049,330 74.93% 70.35%
Pennsylvania 10,195 8,787 7,893 89.74% 4,463 3,684 10,436,338 76.71% 68.84%
Rhode Island 2,332 1,964 1,760 89.63% 1,074 890 902,072 79.22% 71.01%
South Carolina 2,594 2,076 1,970 94.91% 1,086 910 3,493,487 80.56% 76.46%
South Dakota 1,955 1,593 1,522 95.51% 1,104 927 635,910 78.13% 74.62%
Tennessee 2,273 1,934 1,762 91.06% 1,101 921 4,950,513 80.14% 72.97%
Texas 7,790 6,411 6,096 95.10% 4,276 3,562 18,113,028 78.62% 74.77%
Utah 1,622 1,402 1,342 95.61% 1,077 939 1,926,464 81.72% 78.14%
Vermont 2,410 1,859 1,741 93.90% 1,050 880 536,973 78.31% 73.54%
Virginia 2,318 1,999 1,759 88.35% 1,156 941 6,125,856 75.60% 66.79%
Washington 2,061 1,737 1,641 94.54% 1,074 876 5,216,989 76.04% 71.88%
West Virginia 2,972 2,495 2,340 93.84% 1,130 924 1,546,578 76.22% 71.53%
Wisconsin 2,143 1,724 1,612 93.54% 1,103 915 4,629,408 78.18% 73.13%
Wyoming 2,567 2,012 1,900 94.43% 1,122 924 427,287 77.40% 73.09%

Table A.6 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.
Overall 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%
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.7 Sample Sizes, Weighted Screening and Interview Response Rates, and Population Estimates, by State, for Persons Aged 12 or Older: 2003-2004
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
NOTE: To compute the pooled 2003-2004 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 2003 and 2004 individual response rates.
DU = dwelling unit.
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2003 and 2004.
Overall 340,276 286,097 260,735 90.82% 163,604 135,544 239,098,412 77.20% 70.11%
Alabama 4,062 3,323 3,035 91.42% 2,084 1,759 3,720,323 77.03% 70.43%
Alaska 4,216 3,339 3,065 91.79% 2,176 1,777 508,168 77.24% 70.89%
Arizona 4,385 3,615 3,412 94.42% 2,176 1,800 4,545,170 79.41% 74.98%
Arkansas 4,627 3,783 3,600 95.17% 2,154 1,822 2,243,910 79.96% 76.10%
California 15,598 13,815 12,207 87.73% 9,102 7,325 28,845,363 73.31% 64.32%
Colorado 4,432 3,677 3,421 93.00% 2,238 1,845 3,718,635 78.35% 72.87%
Connecticut 5,116 4,497 4,086 90.77% 2,226 1,830 2,891,183 76.05% 69.03%
Delaware 4,672 3,890 3,568 91.75% 2,249 1,843 680,294 76.44% 70.14%
District of Columbia 6,847 5,684 4,818 84.95% 2,157 1,852 471,653 81.43% 69.17%
Florida 20,907 16,941 15,156 89.38% 8,940 7,203 14,312,077 73.78% 65.94%
Georgia 4,253 3,486 3,209 92.03% 2,142 1,792 7,007,318 79.90% 73.53%
Hawaii 4,218 3,668 3,342 91.11% 2,230 1,831 1,013,721 75.27% 68.58%
Idaho 4,013 3,300 3,116 94.39% 2,163 1,814 1,112,492 80.00% 75.51%
Illinois 17,620 15,586 13,145 84.24% 9,096 7,286 10,353,764 74.75% 62.96%
Indiana 4,222 3,574 3,379 94.56% 2,167 1,794 5,074,139 78.51% 74.23%
Iowa 4,025 3,574 3,362 94.15% 2,032 1,774 2,458,501 83.32% 78.45%
Kansas 4,336 3,697 3,479 94.08% 2,034 1,703 2,217,978 79.89% 75.16%
Kentucky 4,638 4,050 3,827 94.45% 2,246 1,841 3,401,372 74.74% 70.59%
Louisiana 4,190 3,470 3,251 93.63% 2,177 1,876 3,632,530 81.48% 76.29%
Maine 5,558 4,408 4,070 92.33% 2,158 1,824 1,120,081 81.79% 75.51%
Maryland 4,021 3,528 3,092 87.38% 2,039 1,764 4,534,137 82.00% 71.65%
Massachusetts 4,631 4,024 3,564 88.65% 2,307 1,841 5,379,031 75.98% 67.36%
Michigan 18,530 15,416 13,864 89.96% 8,843 7,337 8,340,319 77.35% 69.58%
Minnesota 4,030 3,515 3,251 92.34% 2,118 1,816 4,215,479 82.97% 76.61%
Mississippi 4,127 3,281 3,132 95.52% 2,131 1,813 2,326,830 79.62% 76.05%
Missouri 4,685 3,914 3,676 93.94% 2,209 1,829 4,717,630 79.96% 75.11%
Montana 4,895 3,861 3,640 94.30% 2,148 1,818 774,741 79.58% 75.04%
Nebraska 4,040 3,445 3,251 94.36% 2,143 1,815 1,424,708 80.17% 75.65%
Nevada 3,974 3,392 3,215 94.25% 2,125 1,790 1,858,479 79.04% 74.50%
New Hampshire 4,363 3,596 3,333 92.67% 2,226 1,814 1,088,864 76.34% 70.75%
New Jersey 5,328 4,646 4,014 86.02% 2,279 1,769 7,145,540 72.50% 62.37%
New Mexico 4,450 3,621 3,459 95.48% 2,204 1,866 1,536,426 78.99% 75.41%
New York 20,448 17,515 14,577 83.10% 9,194 7,272 15,963,506 72.89% 60.57%
North Carolina 4,424 3,585 3,388 94.49% 2,115 1,773 6,866,763 79.31% 74.93%
North Dakota 4,648 3,842 3,639 94.76% 2,048 1,778 527,585 84.32% 79.91%
Ohio 17,473 15,153 14,272 94.16% 8,717 7,172 9,461,804 76.42% 71.95%
Oklahoma 4,837 3,861 3,581 92.75% 2,096 1,738 2,857,154 77.42% 71.81%
Oregon 4,336 3,784 3,585 94.72% 2,203 1,822 2,986,420 78.06% 73.94%
Pennsylvania 19,465 16,488 14,930 90.60% 8,574 7,162 10,377,874 78.74% 71.34%
Rhode Island 4,285 3,776 3,360 88.84% 2,267 1,825 905,251 75.76% 67.31%
South Carolina 4,597 3,753 3,567 95.09% 2,151 1,805 3,411,190 80.71% 76.75%
South Dakota 4,178 3,423 3,254 95.02% 2,014 1,774 625,827 84.08% 79.89%
Tennessee 4,677 4,027 3,797 94.32% 2,027 1,752 4,855,614 82.79% 78.09%
Texas 15,824 13,065 12,333 94.39% 8,565 7,197 17,608,112 79.18% 74.74%
Utah 3,341 2,856 2,714 94.92% 2,035 1,808 1,834,316 85.85% 81.49%
Vermont 5,327 4,001 3,729 93.10% 2,179 1,841 532,164 80.81% 75.24%
Virginia 4,228 3,681 3,254 88.40% 2,156 1,809 5,989,213 79.26% 70.06%
Washington 4,473 3,802 3,597 94.63% 2,214 1,827 5,094,091 77.29% 73.14%
West Virginia 5,644 4,557 4,285 94.08% 2,116 1,780 1,539,188 79.02% 74.34%
Wisconsin 4,620 3,737 3,460 92.59% 2,164 1,804 4,571,741 77.83% 72.06%
Wyoming 4,442 3,575 3,374 94.38% 2,050 1,742 419,744 82.88% 78.22%

Table A.8 Sample Sizes, Weighted Interview Response Rates, and Population Estimates, by State and Three Age Groups: 2003-2004
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
NOTE: To compute the pooled 2003-2004 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 2003 and 2004 individual response rates.
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2003 and 2004.
Overall 50,528 45,005 25,104,874 89.06% 54,667 46,016 31,961,116 83.67% 58,409 44,523 182,032,422 74.42%
Alabama 659 597 381,563 90.39% 711 617 503,783 86.75% 714 545 2,834,977 73.43%
Alaska 691 599 68,492 87.09% 754 622 69,578 81.47% 731 556 370,098 74.72%
Arizona 701 621 498,693 89.03% 733 597 621,802 81.91% 742 582 3,424,675 77.45%
Arkansas 688 621 233,184 90.40% 728 613 306,999 84.26% 738 588 1,703,727 77.60%
California 2,789 2,487 3,209,345 89.26% 2,986 2,454 3,949,889 82.27% 3,327 2,384 21,686,129 69.35%
Colorado 666 601 388,793 90.64% 814 663 501,011 80.53% 758 581 2,828,830 76.27%
Connecticut 664 589 295,229 88.61% 764 643 336,200 83.29% 798 598 2,259,754 73.26%
Delaware 688 601 67,658 87.73% 775 645 90,513 83.18% 786 597 522,123 73.76%
District of Columbia 694 617 33,384 89.56% 742 654 70,483 87.71% 721 581 367,787 79.44%
Florida 2,799 2,451 1,376,459 87.68% 2,844 2,368 1,658,368 82.54% 3,297 2,384 11,277,251 70.90%
Georgia 652 589 763,519 89.34% 707 592 967,105 85.19% 783 611 5,276,693 77.57%
Hawaii 702 643 100,549 91.59% 703 588 121,734 84.10% 825 600 791,438 71.73%
Idaho 641 578 127,839 90.51% 710 605 168,848 84.70% 812 631 815,805 77.42%
Illinois 2,739 2,404 1,089,901 87.90% 3,020 2,456 1,400,520 81.44% 3,337 2,426 7,863,343 71.80%
Indiana 677 592 546,518 85.62% 735 613 711,380 83.46% 755 589 3,816,240 76.63%
Iowa 683 623 243,608 90.35% 655 575 354,296 88.48% 694 576 1,860,596 81.36%
Kansas 626 559 237,856 88.99% 694 587 324,390 84.26% 714 557 1,655,732 77.57%
Kentucky 687 603 336,908 87.49% 728 617 453,011 84.56% 831 621 2,611,452 71.63%
Louisiana 668 609 403,315 91.98% 766 680 543,941 88.12% 743 587 2,685,275 78.60%
Maine 670 596 109,954 88.24% 766 640 134,241 84.18% 722 588 875,886 80.63%
Maryland 649 603 485,901 92.48% 630 536 556,047 84.99% 760 625 3,492,188 79.95%
Massachusetts 664 583 512,838 87.83% 786 628 676,402 79.19% 857 630 4,189,790 74.10%
Michigan 2,777 2,469 902,553 88.82% 3,039 2,589 1,108,787 84.99% 3,027 2,279 6,328,980 74.33%
Minnesota 739 662 442,828 89.42% 644 550 587,599 85.31% 735 604 3,185,052 81.61%
Mississippi 602 560 256,982 93.98% 762 660 349,332 86.79% 767 593 1,720,516 76.14%
Missouri 712 608 490,972 85.10% 740 622 642,988 83.36% 757 599 3,583,670 78.64%
Montana 628 549 79,960 87.61% 768 674 106,615 87.23% 752 595 588,167 76.95%
Nebraska 591 531 150,669 89.72% 817 693 208,757 84.88% 735 591 1,065,283 77.92%
Nevada 613 559 192,336 89.92% 720 619 228,424 87.10% 792 612 1,437,719 76.21%
New Hampshire 668 580 114,731 87.05% 734 617 134,285 83.51% 824 617 839,848 73.84%
New Jersey 634 553 733,853 85.94% 766 584 816,302 76.28% 879 632 5,595,385 70.32%
New Mexico 695 634 175,489 91.00% 698 612 218,107 88.08% 811 620 1,142,829 75.49%
New York 2,737 2,376 1,571,709 86.61% 3,098 2,502 2,047,533 80.91% 3,359 2,394 12,344,264 69.81%
North Carolina 660 592 701,982 89.97% 758 637 889,092 84.35% 697 544 5,275,688 76.84%
North Dakota 635 573 52,643 90.42% 677 591 82,943 86.83% 736 614 392,000 83.00%
Ohio 2,774 2,442 983,181 87.84% 2,863 2,415 1,251,526 84.30% 3,080 2,315 7,227,097 73.47%
Oklahoma 699 617 296,942 88.82% 702 596 415,680 84.83% 695 525 2,144,532 73.97%
Oregon 694 624 297,247 89.65% 742 618 392,447 83.82% 767 580 2,296,726 75.54%
Pennsylvania 2,681 2,409 1,034,227 90.27% 2,783 2,357 1,315,867 85.23% 3,110 2,396 8,027,780 76.17%
Rhode Island 703 593 87,330 85.47% 752 639 127,440 85.54% 812 593 690,482 72.59%
South Carolina 692 614 356,468 88.56% 665 569 460,716 86.06% 794 622 2,594,007 78.69%
South Dakota 578 538 68,362 92.54% 731 661 93,146 90.92% 705 575 464,319 81.56%
Tennessee 641 597 475,614 92.46% 611 521 636,601 84.82% 775 634 3,743,398 81.19%
Texas 2,629 2,358 2,038,642 89.85% 2,858 2,458 2,577,160 86.27% 3,078 2,381 12,992,311 76.07%
Utah 652 610 229,590 94.21% 664 602 356,134 90.37% 719 596 1,248,593 83.02%
Vermont 705 624 53,561 88.49% 705 601 70,579 86.53% 769 616 408,025 78.85%
Virginia 620 566 617,003 90.55% 742 621 757,538 81.59% 794 622 4,614,672 77.54%
Washington 714 645 527,419 89.87% 768 632 676,016 81.43% 732 550 3,890,656 74.79%
West Virginia 637 566 138,269 89.09% 726 625 195,092 86.36% 753 589 1,205,827 76.67%
Wisconsin 673 610 478,926 91.12% 747 622 633,007 82.89% 744 572 3,459,808 75.05%
Wyoming 648 580 43,883 90.73% 636 536 60,860 85.38% 766 626 315,000 81.30%

Table A.9 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.
Overall 345,472 289,524 264,185 91.13% 165,778 136,068 241,867,549 76.59% 69.80%
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%

Table A.10 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.
Overall 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%
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.11 Sample Sizes, Weighted Interview Response Rates, and Population Estimates among Persons Aged 12 to 20, by State: 2003, 2004, and 2005
State 2003 2004 2005
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, 2003, 2004, and 2005.
Overall 35,468 31,493 37,517,008 88.54 35,343 31,221 37,736,765 88.01 35,962 31,276 38,322,622 86.79
Alabama 491 448 624,780 91.36 474 424 609,056 88.81 476 406 561,692 84.90
Alaska 490 419 97,543 86.51 484 428 97,677 87.90 471 399 99,010 85.69
Arizona 467 419 709,434 90.17 460 391 692,728 85.11 452 390 751,497 86.68
Arkansas 487 436 350,182 89.68 483 425 360,424 87.61 446 397 359,907 89.87
California 1,945 1,712 4,793,532 87.79 1,975 1,737 4,886,817 87.62 1,933 1,661 4,922,871 86.48
Colorado 457 403 562,345 86.11 490 436 590,904 90.26 454 396 591,421 87.50
Connecticut 478 423 428,352 87.94 482 427 429,774 88.45 531 456 421,226 83.41
Delaware 488 425 100,828 86.87 492 425 103,646 86.64 512 442 104,549 86.77
District of Columbia 484 433 57,202 90.35 439 393 55,748 90.02 404 347 52,853 87.53
Florida 1,910 1,658 2,048,669 86.55 1,943 1,687 2,041,124 86.80 2,024 1,766 2,195,868 87.59
Georgia 450 402 1,116,747 88.69 423 376 1,072,483 88.79 511 456 1,218,322 89.69
Hawaii 526 476 154,005 90.33 434 395 146,333 91.25 494 427 154,805 87.81
Idaho 451 399 191,599 88.36 457 417 208,478 91.75 439 390 189,293 88.49
Illinois 1,958 1,688 1,622,676 86.38 1,880 1,655 1,658,743 88.14 1,977 1,655 1,647,182 83.85
Indiana 461 410 805,229 87.52 479 406 821,329 82.80 516 448 870,085 87.47
Iowa 454 414 382,804 89.19 479 430 387,153 90.72 412 377 369,113 91.12
Kansas 466 419 379,463 89.77 412 369 357,889 90.00 491 444 359,239 90.12
Kentucky 487 424 517,645 86.09 486 426 509,725 87.63 473 415 497,495 87.23
Louisiana 503 456 628,632 90.59 469 434 638,363 93.03 454 405 613,485 89.44
Maine 487 427 165,367 87.61 466 406 161,056 86.28 440 394 165,943 88.96
Maryland 412 373 696,774 89.12 455 418 698,869 91.70 448 389 702,671 87.16
Massachusetts 473 406 726,797 85.32 466 404 761,421 86.79 524 459 814,048 86.43
Michigan 1,961 1,750 1,369,113 89.03 2,022 1,786 1,362,028 88.13 1,940 1,678 1,339,651 86.40
Minnesota 514 470 684,381 92.34 466 410 647,035 87.57 451 396 639,420 87.19
Mississippi 417 381 380,147 92.90 434 403 377,607 92.62 519 465 429,346 89.98
Missouri 504 434 747,842 86.09 482 407 739,176 82.71 476 407 741,962 85.34
Montana 462 412 124,324 89.19 476 415 125,547 87.01 481 422 117,723 88.34
Nebraska 479 436 234,433 91.22 398 349 214,257 87.57 497 442 221,475 87.62
Nevada 427 385 263,304 90.22 424 381 272,295 89.35 459 409 297,203 88.97
New Hampshire 511 452 180,199 88.79 463 402 171,351 86.24 439 368 164,861 84.76
New Jersey 446 386 1,002,752 86.27 446 373 1,040,817 81.91 537 455 1,122,017 84.15
New Mexico 480 434 262,302 90.61 477 437 267,026 90.81 449 400 257,534 89.82
New York 1,944 1,705 2,402,951 87.33 1,923 1,643 2,386,440 85.64 2,005 1,672 2,362,022 82.49
North Carolina 479 422 1,041,193 87.77 462 415 1,040,105 89.50 423 364 1,044,818 86.53
North Dakota 416 382 91,756 92.00 515 464 91,193 89.71 487 438 81,775 88.54
Ohio 1,916 1,687 1,501,608 87.57 1,965 1,712 1,477,159 86.84 1,898 1,633 1,483,411 85.15
Oklahoma 506 442 464,325 86.24 468 416 451,625 89.08 499 419 459,199 84.19
Oregon 472 421 422,957 88.78 487 425 448,317 87.18 467 392 440,687 83.47
Pennsylvania 1,889 1,691 1,560,665 89.95 1,865 1,661 1,601,008 89.67 1,975 1,744 1,590,700 88.67
Rhode Island 490 419 133,702 85.96 515 443 148,022 87.42 444 392 140,652 88.77
South Carolina 451 401 503,091 88.46 431 384 503,928 89.79 470 412 536,423 87.93
South Dakota 436 403 105,738 92.98 427 396 105,280 91.57 472 429 105,554 91.18
Tennessee 446 408 725,796 89.73 408 379 687,831 92.64 496 432 727,398 88.03
Texas 1,773 1,594 2,986,183 90.10 1,876 1,679 3,070,551 89.67 1,868 1,648 3,139,614 88.30
Utah 414 388 355,508 94.04 466 430 360,286 92.16 473 436 372,515 91.82
Vermont 470 419 79,202 89.66 473 418 79,607 88.84 472 422 81,405 88.39
Virginia 464 423 935,590 90.87 434 389 915,164 87.44 487 418 904,092 85.64
Washington 517 466 809,829 90.25 513 454 863,672 87.17 425 374 768,080 87.74
West Virginia 446 385 212,611 86.41 467 426 227,229 91.82 495 429 211,418 87.11
Wisconsin 442 409 704,508 90.90 503 440 704,083 88.50 498 444 814,592 88.49
Wyoming 471 418 70,394 89.10 429 375 68,388 89.04 478 417 64,500 86.86

Table A.12 Sample Sizes, Weighted Interview Response Rates, and Population Estimates among Persons Aged 12 to 20, by State: 2003-2004 and 2004-2005
State 2003-2004 2004-2005
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 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, 2003, 2004, and 2005.
Overall 70,811 62,714 37,626,886 88.27 71,305 62,497 38,029,693 87.40
Alabama 965 872 616,918 90.08 950 830 585,374 86.91
Alaska 974 847 97,610 87.21 955 827 98,344 86.77
Arizona 927 810 701,081 87.64 912 781 722,112 85.91
Arkansas 970 861 355,303 88.63 929 822 360,166 88.74
California 3,920 3,449 4,840,174 87.71 3,908 3,398 4,904,844 87.05
Colorado 947 839 576,625 88.22 944 832 591,163 88.87
Connecticut 960 850 429,063 88.20 1,013 883 425,500 85.95
Delaware 980 850 102,237 86.75 1,004 867 104,097 86.71
District of Columbia 923 826 56,475 90.19 843 740 54,301 88.80
Florida 3,853 3,345 2,044,897 86.68 3,967 3,453 2,118,496 87.21
Georgia 873 778 1,094,615 88.74 934 832 1,145,402 89.27
Hawaii 960 871 150,169 90.77 928 822 150,569 89.45
Idaho 908 816 200,038 90.11 896 807 198,886 90.19
Illinois 3,838 3,343 1,640,709 87.27 3,857 3,310 1,652,963 86.01
Indiana 940 816 813,279 85.13 995 854 845,707 85.13
Iowa 933 844 384,978 89.96 891 807 378,133 90.91
Kansas 878 788 368,676 89.88 903 813 358,564 90.06
Kentucky 973 850 513,685 86.86 959 841 503,610 87.43
Louisiana 972 890 633,497 91.81 923 839 625,924 91.30
Maine 953 833 163,212 86.95 906 800 163,500 87.63
Maryland 867 791 697,822 90.45 903 807 700,770 89.46
Massachusetts 939 810 744,109 86.08 990 863 787,734 86.60
Michigan 3,983 3,536 1,365,570 88.58 3,962 3,464 1,350,839 87.28
Minnesota 980 880 665,708 89.98 917 806 643,228 87.38
Mississippi 851 784 378,877 92.76 953 868 403,476 91.25
Missouri 986 841 743,509 84.40 958 814 740,569 84.03
Montana 938 827 124,935 88.09 957 837 121,635 87.66
Nebraska 877 785 224,345 89.52 895 791 217,866 87.59
Nevada 851 766 267,799 89.77 883 790 284,749 89.17
New Hampshire 974 854 175,775 87.56 902 770 168,106 85.51
New Jersey 892 759 1,021,785 84.06 983 828 1,081,417 83.06
New Mexico 957 871 264,664 90.71 926 837 262,280 90.32
New York 3,867 3,348 2,394,695 86.48 3,928 3,315 2,374,231 84.07
North Carolina 941 837 1,040,649 88.66 885 779 1,042,462 88.06
North Dakota 931 846 91,474 90.84 1,002 902 86,484 89.15
Ohio 3,881 3,399 1,489,383 87.21 3,863 3,345 1,480,285 86.00
Oklahoma 974 858 457,975 87.60 967 835 455,412 86.61
Oregon 959 846 435,637 87.95 954 817 444,502 85.34
Pennsylvania 3,754 3,352 1,580,836 89.81 3,840 3,405 1,595,854 89.17
Rhode Island 1,005 862 140,862 86.72 959 835 144,337 88.07
South Carolina 882 785 503,509 89.14 901 796 520,175 88.85
South Dakota 863 799 105,509 92.27 899 825 105,417 91.37
Tennessee 854 787 706,814 91.17 904 811 707,614 90.29
Texas 3,649 3,273 3,028,367 89.89 3,744 3,327 3,105,082 88.98
Utah 880 818 357,897 93.10 939 866 366,401 91.99
Vermont 943 837 79,404 89.25 945 840 80,506 88.61
Virginia 898 812 925,377 89.17 921 807 909,628 86.53
Washington 1,030 920 836,750 88.70 938 828 815,876 87.45
West Virginia 913 811 219,920 89.25 962 855 219,323 89.56
Wisconsin 945 849 704,296 89.70 1,001 884 759,337 88.49
Wyoming 900 793 69,391 89.07 907 792 66,444 87.97

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