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.

• Claritas. The demographic data package called Building Block Basic, Age by Race for 2002 with projections to 2007.
  
  
• U.S. Census Bureau. The 2000 census (demographic and socioeconomic variables) and 2003 food stamp participation rates.
  
  
• Federal Bureau of Investigation. Uniform Crime Report (UCR) arrest totals from http://www.icpsr.umich.edu/NACJD/ucr.html. The most current data used are 2003 for most counties, with previous years' data substituted in a few cases.
  
  
• Health Resources and Services Administration. Some variables relating to income and employment from the Area Resource File (ARF) February 2005 release from the Bureau of Health Professions, Office of Research and Planning.
  
  
• National Center for Health Statistics. Mortality data using International Classification of Diseases, 10^th revision (ICD-10), 1999-2003. The ICD-10 death rate data are from the National Center for Health Statistics at the Centers for Disease Control and Prevention.
  
  
• SAMHSA, Office of Applied Studies. National Survey of Substance Abuse Treatment Services (N-SSATS), formerly known as the Uniform Facility Data Set (UFDS). The 2004-2005 data on drug and alcohol treatment rates are from Synectics for Management Decisions, Inc.

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 _a = (D_a - P_a), where D_a is the design-based national prevalence estimate and P_a is the population-weighted mean of the State small area estimates (P_sa) for age group-a. The exactly benchmarked State-s and age group-a small area estimates then are given by _sa = P_sa + _a. 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 (Lower_sa, Upper_sa) are defined below:

Lower_sa = exp(L_sa)/[1 + exp(L_sa)] and Upper_sa = exp(U_sa)/[1 + exp(U_sa)],

where

L_sa = log[_sa/(1 - _sa)] - 1.96 * ,

U_sa = log[_sa/(1 - _sa)] + 1.96 * , and

MSE_sa = (log[P_sa/(1 - P_sa)]- log[_sa/(1 - _sa)])² + posterior variance of log[P_sa/(1 - P_sa)].

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, 4^th 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 _sa(1) and _sa(2) denote 2003-2004 and 2004-2005 prevalence rates, respectively, for State-s and age group-a. The change between _sa(1) and _sa(2) is defined in terms of the log-odds ratio (lor_sa) as opposed to the simple difference because the posterior distribution of the lor_sa is closer to Gaussian than the posterior distribution of the simple difference _sa(2) – _sa(1)). The lor_sa is defined as

.     D

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

     D

where the p_sa(1) are previously published 2003-2004 State estimates and the p_sa(2) are the 2004-2005 State estimates presented in this report (see Appendix B). To compute the variance of , i.e., let and then

,     D

where denotes the covariance between and . This covariance is defined in terms of the associated correlation as follows:

,     D

Note that the and used here to calculate 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 and 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 [, ] was approximated by the correlation calculated using the posterior distributions of and 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 and . 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, , 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