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2004 State Estimates of Substance Use
and Mental Health |
National data State level data Metropolitan and other subState area data |
This report includes estimates of 22 substance use measures (see Section A.1) using the combined data from the 2003 and 2004 National Surveys on Drug Use and Health (NSDUHs). In addition to the 21 substance use measures for which age groupspecific State estimates were produced and documented in the 2003 State report (Wright & Sathe, 2005), there is a new measure, past year nonmedical pain reliever use, introduced in this report. Also included in this report are estimates of change between 2002-2003 and 2003-2004 State estimates. This report is similar to the 2000 and 2001 State reports (Wright, 2002a, 2002b, 2003a, 2003b) that contained age groupspecific State estimates obtained by pooling 19992000 and 20002001 National Household Survey on Drug Abuse (NHSDA)8 data, respectively. The 2001 State report also contained estimates of change between the 19992000 and 20002001 data for the 12 common substance use measures. 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 19992003 surveys also was used in the production of the 2003-2004 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 2003-2004 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 2002, 2003, 2004, pooled 2002-2003, and pooled 2003-2004 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 for the first time are estimates of underage (ages 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 methodology used to produce underage drinking estimates is described in Section A.6.
Section A.7 discusses how serious psychological distress (SPD) estimates were produced. The methodology used to produce estimates of change between the 2002-2003 and the 2003-2004 State estimates is described in Section A.8.
The 2004 NSDUH data were pooled with the 2003 NSDUH data, and age group–specific State estimates for 22 binary (0,1) outcome variables were produced and presented in this report. The estimates of change between the 2002-2003 and 2003-2004 State estimates also were produced for the following outcomes:
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. Bureau of the Census, 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 019 in block group | Block group |
% Population aged 2024 in block group | Block group |
% Population aged 2534 in block group | Block group |
% Population aged 3544 in block group | Block group |
% Population aged 4554 in block group | Block group |
% Population aged 5564 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 019 in tract | Tract |
% Population aged 2024 in tract | Tract |
% Population aged 2534 in tract | Tract |
% Population aged 3544 in tract | Tract |
% Population aged 4554 in tract | Tract |
% Population aged 5564 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 019 in county | County |
% Population aged 2024 in county | County |
% Population aged 2534 in county | County |
% Population aged 3544 in county | County |
% Population aged 4554 in county | County |
% Population aged 5564 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 19401949 | Tract |
% Persons 1664 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 912 years of school, no high school diploma | Tract |
% Population 08 years of school | Tract |
% Population with associate's degree | Tract |
% Population 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 | Sample | Person |
=1 if non-Hispanic Black, =0 otherwise | Sample | Person |
=1 if non-Hispanic Other, =0 otherwise | Sample | Person |
=1 if male, =0 if female | 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 |
The State estimates for past year nonmedical use of pain relievers (ANLYR) were not produced in prior years. Hence, in order to be consistent with the other set of outcomes, the fixed-effect predictors for ANLYR were selected using the pooled 2002-2003 NSDUH data. These fixed-effect predictors were selected based on the steps detailed in Section A.3 of Wright and Sathe (2005), and their updated versions were used to produce 2003-2004 State estimates for ANLYR. 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 data were used to model the 2003-2004 data. Because the interest was to estimate change between the 2002-2003 and 2003-2004 State estimates, the same set of fixed-effect predictors was used for producing both sets of 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 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 2003-2004) is adjusted by adding the common factor a = (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 sa = Psa + a. Experience with such additive adjustments suggests that the resulting exactly benchmarked State small area estimates always will 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 prediction intervals (PIs) (Lowersa, Uppersa) are defined below:
Lowersa = exp(Lsa)/[1 + exp(Lsa)] and Uppersa = exp(Usa)/[1 + exp(Usa)],
where
Lsa = log[sa/(1 - sa)] - 1.96 * ,
Usa = log[sa/(1 - sa)] + 1.96 * , and
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.
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 incidence rate = {(Number of marijuana initiates in past 24 months) /
[(Number of marijuana initiates in past 24 months * 0.5) +
Number of persons who never used marijuana]} / 2.
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 2year 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 2year 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" 2year 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 2004 to indicate first use as early as the first part of 2002 or as late as the first part of 2004. Similarly, a subject interviewed in the last part of 2004 could indicate first use as early as the last part of 2002 or as late as the last part of 2004. Therefore, in the 2004 survey, the reported period of first use ranged from early 2002 to late 2004 and was "centered" in 2003. About 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. Persons who responded in 2004 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 2003 survey ranged from early 2000 to late 2003 and were centered in 2002. Half of the 12 to 17 year olds who reported first use in the past 24 months reported first use in 2002, while a quarter each reported first use in 2000 and 2003. Note that only incidence rates for marijuana use are provided in this report.
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 2002-2003 and 2003-2004 underage drinking State estimates also are presented in this report.
In 2004, SPD was measured using the K6 screening instrument for nonspecific psychological distress (Furukawa, Kessler, Slade, & Andrews, 2003; Kessler et al., 2003). In previous NSDUH reports, the K6 scale was referred to as a measure of serious mental illness (SMI). SMI was first measured by the National Household Survey on Drug Abuse (NHSDA) in 2001 for all persons aged 18 or older. SAMHSA's official definition of adults with SMI, based on a notice published in the Federal Register (SAMHSA, Center for Mental Health Services, 1993), is as follows:
Pursuant to section 1912(c) of the Public Health Service Act, adults with serious mental illness (SMI) are persons: (1) age 18 and over and (2) who currently have, or at any time during the past year, had a diagnosable mental, behavioral, or emotional disorder of sufficient duration to meet diagnostic criteria specified within DSM-IV or their ICD-9-CM equivalent (and subsequent revisions) with the exception of DSM-IV "V" codes, substance use disorders, and developmental disorders, which are excluded, unless they co-occur with another diagnosable serious mental illness. (3) That has resulted in functional impairment which substantially interferes with or limits one or more major life activities.
In prior NSDUH reports, the K6 scale was used to measure SMI according to the above definition. The K6 consists of six questions that ask respondents how frequently they experienced symptoms of psychological distress during the 1 month in the past year when they were at their worst emotionally. The use of this scale for SMI was based on a methodological study designed to evaluate several screening scales for measuring SMI in NSDUH. These scales consisted of a truncated version of the World Health Organization (WHO) Composite International Diagnostic Interview Short Form (CIDI-SF) scale (Kessler, Andrews, Mroczek, Üstün, & Wittchen, 1998), the K10/K6 scale of nonspecific psychological distress (Furukawa et al., 2003), and the WHO Disability Assessment Schedule (WHO-DAS) (Rehm et al., 1999).
In the 2003 NSDUH, the mental health module contained a truncated version of the CIDI-SF scale, the K10/K6 scale, and the WHO-DAS scale to mirror the questions used by Kessler et al. (2003). Thus, the module contained a broad array of questions about mental health (i.e., panic attacks, depression, mania, phobias, generalized anxiety, posttraumatic stress disorder, and use of mental health services) that preceded the K6 items, and the four extra questions in the K10 scale were interspersed among the items in the K6 scale. To create a score, the responses to six items on the K6 scales were coded from 0 to 4. Summing across all the responses resulted in a score with a range from 0 to 24. Respondents with a total score of 13 or greater were classified as having a past year SMI. This cutpoint was chosen to equalize false positives and false negatives.
In the 2004 NSDUH, however, the sample of respondents aged 18 or older was split evenly between the "long-form" module, which included all items in the mental health module used in the 2003 NSDUH (sample A), and a "short-form" module consisting only of the K6 items (sample B). The short-form version was introduced to reduce interview time, removing questions that were not needed for estimation of SMI, and to provide space for a new module on depression. Inclusion of the long-form version in half of the sample was to measure the impact on the K6 responses of changing the context of the K6.
Results from the 2004 NSDUH showed large differences at the national level between the two samples in both the K6 total score and the proportion of respondents with a K6 total score of 13 or greater. These differences were most pronounced in the 18 to 25 age group. These differences suggested that the K6 scale was not context-independent; that is, respondents appeared to respond to the K6 items differently depending on whether the scale was preceded by a broad array of other mental health questions. There were other concerns as well. For example, the face validity of the K6 scale suggests that it may be more useful as a measure of psychological distress or of affective-mood and anxiety-type disorders. A direct consequence of these concerns was that a decision was made that the K6 would no longer be used to measure SMI. However, the K6 data are still useful as an indicator of psychological distress (see Section B.4.4 of OAS, 2005c).
The 2004 national SPD estimates therefore were based only on data from sample A (respondents who got the long-form module). For the purpose of producing State-level estimates for this report, however, an adjusted measure of SPD, which was produced for the entire sample of respondents aged 18 or older in 2004, was used, and SMI data from 2003 were pooled with data using this adjusted measure of SPD from 2004. The adjustment made to the SPD score on the short-form module is described in brief here.
A logistic regression model was used to estimate differences between the short- and long-form SPD prevalence rates (i.e., propensities). Several demographic and drug use covariates were included in the model, and it was found that the propensities varied according to race/ethnicity and age group. Five propensity strata based on race/ethnicity and age group were constructed from the results of this analysis. Tests suggested that a gross adjustment approach might be more appropriate than an item-based adjustment approach. As a consequence, the cumulative distribution function (CDF) (gross) adjustment method was applied within each of the five propensity strata, and the method appeared to work quite well in adjusting the marginal estimates of a number of important demographic and drug use variables. This method also was shown to be fairly robust to the way the propensity strata were defined.
Consideration also was given to the use of this logistic regression model to provide adjustments, as well as to provide propensity estimates. However, although this approach was useful for estimating propensities, it was not useful in determining how to adjust individual short-form respondents' SPD prevalence rates to match those of long-form respondents within covariate profiles. Using this approach, the only way to match prevalence rates would be to use long-form prevalence estimates in place of short-form prevalence estimates within covariate profiles. This is equivalent to discarding all short-form data after the logistic regression model has been fitted. A similar argument applies to the use of polytomous logistic regression models to estimate differences between short- and long-form SPD scores.
Before the CDF adjustment method was developed, consideration also was given to ad hoc adjustments to differences between short- and long-form SPD scores within covariate profiles, estimated from, say, polytomous regression models. For example, if the average difference between short- and long-form SPD scores for a particular covariate profile (e.g., white females aged 12 to 17 in the West) was 1.7, then all short-form SPD scores would be reduced by that amount in the profile. However, there are a couple of problems with this ad hoc approach. First, this approach is equivalent to shifting the entire distribution of short-form scores to the left, creating a set of adjusted values ranging from 1.7 to 22.3 instead of 0 to 24. Second, although this approach might force SPD scores to match on average within a profile, there is no guarantee that they would match at the SPD cutpoint of 13, which defines prevalence rates. A variation to this approach would be to multiply short-form scores by a factor that forced the scores to match on average, but this is equivalent to rescaling the short-form distribution so that all scores are shrunk toward zero. Neither of these ad hoc methods was optimal. Hence, the CDF adjustment method was used to transform the distribution of scores obtained from the short-form module to match that of the long-form module such that the distributional properties of the SPD scores from the short-form module matched the distributional properties of the SPD scores from the long-form module, without the scores matching exactly.
Adjusted short-form SPD scores and prevalence rates (based on the CDF adjustment method) were not used to derive national estimates for the 2004 survey. National estimates used a much finer categorization for some of the demographic and substance use variables than were used in the creation of the adjusted SPD outcome, and at these finer categorizations some notable discrepancies were observed between adjusted short-form and corresponding long-form prevalence rates. For this reason, national estimates of SPD scores and prevalence rates were derived from only long-form data.
Adjusted short-form SPD scores and prevalence rates were used to derive State-level estimates based on pooled 2003 and 2004 survey data. Because State-level estimates used a much coarser categorization of demographic and substance use variables than national estimates, the problem of discrepancies observed at the finer categorization of national estimates did not occur. In addition, unlike national estimates, which were based on large sample sizes, State-level estimates were typically based on small sample sizes. Hence, it was necessary to use all the data available, including the adjusted short-form data. For details on how the CDF adjustment was implemented, see Aldworth, Chromy, Foster, Heller, and Novak (2005).
The estimates of change between State estimates displayed in Appendix C are based on the 2002 through 2004 NSDUHs. The State estimates for 2002-2003 are the previously published model-based small area estimates (see Wright & Sathe, 2005). The State estimates for 2003-2004 are the small area estimates given in Appendix B. The moving average State prevalence estimates for the overlapping 2002-2003 and 2003-2004 time periods were obtained from independent applications of RTI's SWHB methodology; that is, the 2003-2004 models were fit independently of the previously fitted 2002-2003 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 2002-2003 and 2003-2004 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 2002-2003 and 2003-2004 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 (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 (sa(2) sa(1)). The lorsa 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 lorsa = 0. An estimate of lorsa is given by
, D
where the psa(1) are previously published 2002-2003 State estimates and the psa(2) are the 2003-2004 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 2002-2003 prediction intervals (PIs) and the 2003-2004 PIs given in this report, respectively.
The correlation between and was obtained by simultaneously modeling the 2002, 2003, and 2004 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 19992000 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 log[sa(1) /(1 - sa(1))] and log[sa(2) /(1 - sa(2))] from the simultaneous model.
To calculate the p value for testing the null hypothesis of no change (lorsa = 0), it was assumed that . Then, the p value = P[Z abs(z)], where Z is a standard normal random variate, , and abs(z) denotes the absolute value of Z.
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 |
---|---|---|---|---|---|---|---|---|---|
Overall | 178,013 | 150,162 | 136,349 | 90.72% | 80,581 | 68,126 | 235,143,245 | 78.56% | 71.27% |
Alabama | 2,403 | 2,028 | 1,852 | 91.31% | 1,103 | 960 | 3,686,602 | 81.85% | 74.74% |
Alaska | 2,408 | 1,898 | 1,751 | 92.13% | 1,067 | 915 | 496,025 | 82.05% | 75.59% |
Arizona | 2,346 | 1,908 | 1,770 | 92.66% | 1,078 | 924 | 4,361,020 | 79.66% | 73.81% |
Arkansas | 2,540 | 2,102 | 2,005 | 95.28% | 1,054 | 877 | 2,216,033 | 76.09% | 72.50% |
California | 8,425 | 7,601 | 6,816 | 89.60% | 4,363 | 3,599 | 28,231,483 | 74.93% | 67.14% |
Colorado | 2,099 | 1,827 | 1,664 | 91.01% | 1,087 | 914 | 3,655,496 | 81.67% | 74.32% |
Connecticut | 2,718 | 2,440 | 2,227 | 91.44% | 1,188 | 977 | 2,827,588 | 76.73% | 70.16% |
Delaware | 2,585 | 2,116 | 1,908 | 89.64% | 1,159 | 964 | 665,926 | 78.55% | 70.42% |
District of Columbia | 3,701 | 3,100 | 2,608 | 84.08% | 979 | 864 | 482,635 | 84.79% | 71.29% |
Florida | 10,742 | 8,622 | 7,723 | 89.47% | 4,340 | 3,653 | 13,832,088 | 77.23% | 69.10% |
Georgia | 2,206 | 1,896 | 1,660 | 87.50% | 1,066 | 897 | 6,842,168 | 77.76% | 68.04% |
Hawaii | 2,276 | 1,942 | 1,759 | 90.38% | 1,111 | 925 | 962,485 | 76.50% | 69.14% |
Idaho | 2,033 | 1,634 | 1,515 | 92.80% | 1,052 | 907 | 1,074,515 | 82.81% | 76.86% |
Illinois | 9,263 | 8,181 | 6,986 | 85.45% | 4,613 | 3,729 | 10,258,735 | 75.32% | 64.36% |
Indiana | 2,261 | 1,961 | 1,856 | 94.61% | 1,123 | 945 | 5,019,711 | 77.60% | 73.42% |
Iowa | 2,252 | 1,939 | 1,835 | 94.68% | 1,028 | 894 | 2,440,614 | 84.42% | 79.93% |
Kansas | 1,933 | 1,683 | 1,579 | 93.86% | 1,041 | 898 | 2,202,285 | 81.96% | 76.92% |
Kentucky | 2,641 | 2,273 | 2,155 | 94.79% | 1,098 | 909 | 3,395,143 | 79.55% | 75.41% |
Louisiana | 2,189 | 1,816 | 1,701 | 93.64% | 1,070 | 930 | 3,607,669 | 84.44% | 79.07% |
Maine | 2,828 | 2,290 | 2,082 | 90.85% | 1,017 | 906 | 1,104,764 | 87.35% | 79.36% |
Maryland | 1,984 | 1,801 | 1,610 | 89.42% | 1,039 | 919 | 4,449,299 | 81.71% | 73.07% |
Massachusetts | 2,567 | 2,216 | 1,930 | 86.95% | 1,142 | 916 | 5,387,071 | 71.93% | 62.55% |
Michigan | 9,820 | 8,073 | 7,414 | 91.75% | 4,432 | 3,792 | 8,255,399 | 81.82% | 75.06% |
Minnesota | 2,173 | 1,895 | 1,765 | 93.09% | 996 | 873 | 4,154,504 | 83.23% | 77.48% |
Mississippi1 | 2,261 | 1,750 | 1,508 | 86.58% | 988 | 839 | 2,307,320 | 77.37% | 66.99% |
Missouri | 2,725 | 2,236 | 2,098 | 93.87% | 1,039 | 890 | 4,656,459 | 82.05% | 77.02% |
Montana | 2,772 | 2,174 | 2,057 | 94.64% | 1,075 | 914 | 759,543 | 81.98% | 77.58% |
Nebraska | 1,954 | 1,746 | 1,652 | 94.59% | 1,042 | 891 | 1,411,983 | 82.01% | 77.57% |
Nevada1 | 2,534 | 2,069 | 1,956 | 94.67% | 1,147 | 954 | 1,742,004 | 73.54% | 69.62% |
New Hampshire | 2,597 | 2,154 | 1,966 | 91.27% | 1,092 | 910 | 1,065,165 | 78.10% | 71.28% |
New Jersey | 2,554 | 2,290 | 2,042 | 89.28% | 1,065 | 854 | 7,075,581 | 74.61% | 66.61% |
New Mexico1 | 1,950 | 1,586 | 1,236 | 77.38% | 794 | 674 | 1,500,281 | 81.83% | 63.32% |
New York | 10,480 | 9,032 | 7,516 | 83.31% | 4,615 | 3,716 | 15,882,822 | 73.14% | 60.94% |
North Carolina | 2,289 | 1,940 | 1,792 | 92.57% | 1,046 | 902 | 6,726,205 | 80.99% | 74.98% |
North Dakota | 2,307 | 1,873 | 1,770 | 94.52% | 1,011 | 913 | 527,574 | 84.91% | 80.26% |
Ohio | 9,194 | 7,970 | 7,476 | 93.76% | 4,221 | 3,554 | 9,369,125 | 78.58% | 73.68% |
Oklahoma | 2,300 | 1,932 | 1,791 | 92.64% | 1,100 | 922 | 2,822,615 | 78.63% | 72.84% |
Oregon | 2,456 | 2,158 | 2,019 | 93.43% | 1,071 | 917 | 2,916,974 | 80.74% | 75.44% |
Pennsylvania | 10,104 | 8,482 | 7,710 | 90.86% | 4,251 | 3,606 | 10,298,942 | 79.56% | 72.29% |
Rhode Island | 2,458 | 2,117 | 1,883 | 89.14% | 1,107 | 925 | 896,699 | 74.12% | 66.07% |
South Carolina | 2,332 | 1,824 | 1,729 | 94.77% | 1,091 | 913 | 3,371,646 | 80.90% | 76.67% |
South Dakota | 2,053 | 1,717 | 1,632 | 95.03% | 1,013 | 914 | 619,768 | 86.83% | 82.52% |
Tennessee | 2,732 | 2,357 | 2,212 | 92.82% | 1,057 | 920 | 4,766,688 | 83.26% | 77.28% |
Texas | 7,730 | 6,408 | 5,960 | 93.05% | 4,212 | 3,649 | 17,207,615 | 82.73% | 76.98% |
Utah | 1,487 | 1,336 | 1,264 | 94.52% | 990 | 889 | 1,807,003 | 84.94% | 80.29% |
Vermont | 2,410 | 1,914 | 1,803 | 94.36% | 1,013 | 896 | 525,061 | 88.02% | 83.06% |
Virginia | 2,426 | 2,104 | 1,873 | 89.03% | 1,069 | 884 | 5,862,299 | 75.20% | 66.95% |
Washington | 2,454 | 2,002 | 1,832 | 91.35% | 1,079 | 901 | 4,962,300 | 78.20% | 71.44% |
West Virginia | 2,763 | 2,299 | 2,169 | 94.33% | 1,059 | 898 | 1,527,885 | 79.91% | 75.38% |
Wisconsin | 2,152 | 1,709 | 1,587 | 92.87% | 1,029 | 887 | 4,511,335 | 82.44% | 76.56% |
Wyoming | 2,146 | 1,741 | 1,645 | 94.49% | 1,059 | 907 | 413,099 | 79.40% | 75.02% |
1 Smaller sample sizes and response rates were attained in Mississippi, Nevada, and New Mexico because the review of completed records determined a number of those interviews to be fraudulent. These interviews were consequently dropped. DU = dwelling unit. Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2002. |
State | 1217 | 1825 | 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 | |
Overall | 26,230 | 23,659 | 24,753,586 | 89.99% | 27,216 | 23,271 | 31,024,280 | 85.16% | 27,135 | 21,196 | 179,365,379 | 75.81% |
Alabama | 361 | 331 | 378,922 | 92.11% | 370 | 324 | 497,362 | 86.86% | 372 | 305 | 2,810,318 | 79.54% |
Alaska | 393 | 353 | 70,050 | 90.00% | 353 | 305 | 58,061 | 85.24% | 321 | 257 | 367,914 | 79.65% |
Arizona | 360 | 330 | 477,791 | 91.87% | 346 | 303 | 593,368 | 86.21% | 372 | 291 | 3,289,861 | 76.81% |
Arkansas | 385 | 340 | 232,228 | 88.68% | 287 | 256 | 299,329 | 89.70% | 382 | 281 | 1,684,476 | 71.97% |
California | 1,439 | 1,304 | 3,119,651 | 90.54% | 1,459 | 1,224 | 3,910,445 | 83.32% | 1,465 | 1,071 | 21,201,387 | 70.93% |
Colorado | 349 | 309 | 386,275 | 88.67% | 380 | 317 | 488,328 | 82.92% | 358 | 288 | 2,780,893 | 80.55% |
Connecticut | 369 | 335 | 297,332 | 90.70% | 423 | 341 | 314,467 | 82.08% | 396 | 301 | 2,215,789 | 74.39% |
Delaware | 392 | 350 | 64,655 | 88.74% | 344 | 285 | 87,670 | 83.05% | 423 | 329 | 513,601 | 76.54% |
District of Columbia | 354 | 326 | 33,553 | 91.52% | 284 | 256 | 73,858 | 89.63% | 341 | 282 | 375,224 | 83.16% |
Florida | 1,335 | 1,213 | 1,332,058 | 91.10% | 1,523 | 1,317 | 1,526,407 | 86.35% | 1,482 | 1,123 | 10,973,623 | 74.40% |
Georgia | 339 | 309 | 740,287 | 91.81% | 332 | 281 | 931,197 | 85.79% | 395 | 307 | 5,170,684 | 74.28% |
Hawaii | 337 | 306 | 106,624 | 92.14% | 351 | 300 | 123,983 | 85.94% | 423 | 319 | 731,877 | 72.94% |
Idaho | 346 | 314 | 128,019 | 89.27% | 348 | 302 | 162,155 | 87.73% | 358 | 291 | 784,341 | 80.82% |
Illinois | 1,475 | 1,304 | 1,081,426 | 88.16% | 1,620 | 1,301 | 1,366,021 | 79.82% | 1,518 | 1,124 | 7,811,288 | 72.73% |
Indiana | 351 | 323 | 537,937 | 90.92% | 415 | 346 | 699,137 | 84.53% | 357 | 276 | 3,782,636 | 74.38% |
Iowa | 343 | 312 | 247,154 | 91.07% | 315 | 278 | 348,675 | 89.36% | 370 | 304 | 1,844,784 | 82.50% |
Kansas | 324 | 301 | 242,248 | 93.27% | 374 | 321 | 316,706 | 86.26% | 343 | 276 | 1,643,332 | 79.59% |
Kentucky | 376 | 325 | 317,845 | 84.53% | 342 | 288 | 457,462 | 84.10% | 380 | 296 | 2,619,836 | 78.11% |
Louisiana | 344 | 311 | 408,864 | 91.56% | 359 | 310 | 533,943 | 86.92% | 367 | 309 | 2,664,863 | 82.83% |
Maine | 337 | 310 | 107,138 | 92.04% | 336 | 295 | 128,854 | 88.23% | 344 | 301 | 868,772 | 86.65% |
Maryland | 376 | 346 | 472,125 | 91.83% | 331 | 302 | 525,127 | 90.68% | 332 | 271 | 3,452,047 | 78.58% |
Massachusetts | 402 | 353 | 502,081 | 87.86% | 350 | 285 | 670,475 | 84.04% | 390 | 278 | 4,214,516 | 68.13% |
Michigan | 1,458 | 1,301 | 892,683 | 89.81% | 1,570 | 1,371 | 1,078,221 | 87.65% | 1,404 | 1,120 | 6,284,494 | 79.57% |
Minnesota | 318 | 289 | 447,909 | 90.45% | 352 | 317 | 564,444 | 90.66% | 326 | 267 | 3,142,151 | 80.71% |
Mississippi1 | 342 | 312 | 257,043 | 91.28% | 314 | 274 | 346,485 | 87.36% | 332 | 253 | 1,703,792 | 72.96% |
Missouri | 364 | 328 | 489,034 | 90.34% | 335 | 289 | 621,802 | 85.99% | 340 | 273 | 3,545,624 | 80.20% |
Montana | 383 | 348 | 82,057 | 91.77% | 309 | 262 | 101,662 | 85.48% | 383 | 304 | 575,825 | 80.05% |
Nebraska | 353 | 317 | 152,803 | 90.07% | 327 | 280 | 202,014 | 86.69% | 362 | 294 | 1,057,166 | 79.90% |
Nevada1 | 396 | 359 | 182,000 | 91.12% | 356 | 308 | 208,607 | 86.18% | 395 | 287 | 1,351,398 | 69.19% |
New Hampshire | 344 | 300 | 112,627 | 88.19% | 405 | 343 | 126,521 | 84.89% | 343 | 267 | 826,017 | 75.60% |
New Jersey | 324 | 290 | 712,611 | 89.35% | 383 | 308 | 775,060 | 79.98% | 358 | 256 | 5,587,910 | 71.75% |
New Mexico1 | 235 | 213 | 176,221 | 89.25% | 296 | 250 | 207,372 | 85.15% | 263 | 211 | 1,116,688 | 80.02% |
New York | 1,426 | 1,241 | 1,564,858 | 86.12% | 1,649 | 1,344 | 2,026,299 | 80.59% | 1,540 | 1,131 | 12,291,665 | 70.20% |
North Carolina | 354 | 325 | 677,525 | 89.91% | 341 | 292 | 866,820 | 84.88% | 351 | 285 | 5,181,860 | 79.25% |
North Dakota | 357 | 337 | 54,725 | 94.54% | 332 | 307 | 81,994 | 92.38% | 322 | 269 | 390,856 | 81.86% |
Ohio | 1,358 | 1,221 | 991,716 | 89.83% | 1,429 | 1,224 | 1,217,589 | 85.83% | 1,434 | 1,109 | 7,159,820 | 75.66% |
Oklahoma | 362 | 308 | 305,129 | 84.00% | 385 | 333 | 408,904 | 85.11% | 353 | 281 | 2,108,583 | 76.37% |
Oregon | 354 | 322 | 297,634 | 90.31% | 361 | 308 | 379,401 | 85.13% | 356 | 287 | 2,239,939 | 78.69% |
Pennsylvania | 1,395 | 1,243 | 1,025,357 | 89.15% | 1,489 | 1,293 | 1,270,338 | 86.58% | 1,367 | 1,070 | 8,003,247 | 77.15% |
Rhode Island | 365 | 334 | 83,814 | 91.12% | 357 | 306 | 124,681 | 84.64% | 385 | 285 | 688,204 | 70.20% |
South Carolina | 339 | 304 | 336,271 | 90.47% | 412 | 343 | 458,511 | 82.93% | 340 | 266 | 2,576,865 | 79.24% |
South Dakota | 359 | 343 | 70,145 | 95.94% | 320 | 286 | 89,870 | 89.15% | 334 | 285 | 459,753 | 85.02% |
Tennessee | 381 | 352 | 472,625 | 91.52% | 260 | 228 | 610,807 | 87.69% | 416 | 340 | 3,683,257 | 81.42% |
Texas | 1,347 | 1,224 | 2,004,787 | 90.81% | 1,427 | 1,251 | 2,477,451 | 87.79% | 1,438 | 1,174 | 12,725,377 | 80.50% |
Utah | 316 | 309 | 227,575 | 97.46% | 324 | 289 | 363,300 | 88.95% | 350 | 291 | 1,216,128 | 81.15% |
Vermont | 339 | 312 | 53,892 | 92.84% | 367 | 314 | 68,583 | 86.88% | 307 | 270 | 402,586 | 87.51% |
Virginia | 297 | 278 | 600,443 | 93.43% | 412 | 341 | 728,869 | 83.24% | 360 | 265 | 4,532,987 | 71.75% |
Washington | 298 | 264 | 530,187 | 86.66% | 361 | 304 | 640,479 | 84.62% | 420 | 333 | 3,791,634 | 76.00% |
West Virginia | 339 | 305 | 139,243 | 89.85% | 336 | 292 | 193,439 | 87.55% | 384 | 301 | 1,195,204 | 77.58% |
Wisconsin | 317 | 280 | 482,456 | 87.97% | 380 | 338 | 613,508 | 87.26% | 332 | 269 | 3,415,371 | 80.85% |
Wyoming | 323 | 295 | 45,958 | 91.71% | 385 | 339 | 58,222 | 88.37% | 351 | 273 | 308,919 | 75.91% |
1 Smaller sample sizes and response rates were attained in Mississippi, Nevada, and New Mexico because the review of completed records determined a number of those interviews to be fraudulent. These interviews were consequently dropped. Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2002. |
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 |
---|---|---|---|---|---|---|---|---|---|
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% |
DU = dwelling unit. Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2003. |
State | 1217 | 1825 | 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 | |
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% |
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 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 |
---|---|---|---|---|---|---|---|---|---|
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% |
DU = dwelling unit. Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2004. |
State | 1217 | 1825 | 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 | |
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% |
Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 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 |
---|---|---|---|---|---|---|---|---|---|
Overall | 348,775 | 293,647 | 266,954 | 90.72% | 162,212 | 135,910 | 236,412,627 | 77.97% | 70.74% |
Alabama | 4,474 | 3,740 | 3,410 | 91.23% | 2,132 | 1,839 | 3,693,162 | 80.75% | 73.66% |
Alaska | 4,722 | 3,712 | 3,417 | 92.05% | 2,165 | 1,798 | 500,651 | 78.39% | 72.16% |
Arizona | 4,505 | 3,665 | 3,432 | 93.64% | 2,135 | 1,821 | 4,417,269 | 80.40% | 75.28% |
Arkansas | 4,798 | 3,952 | 3,772 | 95.40% | 2,146 | 1,799 | 2,222,351 | 77.97% | 74.38% |
California | 16,112 | 14,459 | 12,831 | 88.24% | 8,834 | 7,199 | 28,452,737 | 74.34% | 65.59% |
Colorado | 4,324 | 3,682 | 3,373 | 91.53% | 2,190 | 1,825 | 3,678,528 | 80.24% | 73.44% |
Connecticut | 5,341 | 4,728 | 4,300 | 90.97% | 2,316 | 1,910 | 2,854,040 | 76.50% | 69.60% |
Delaware | 5,004 | 4,052 | 3,682 | 90.65% | 2,264 | 1,875 | 668,924 | 76.87% | 69.69% |
District of Columbia | 7,393 | 6,178 | 5,184 | 83.89% | 2,095 | 1,813 | 479,754 | 82.57% | 69.27% |
Florida | 21,193 | 17,075 | 15,298 | 89.62% | 8,754 | 7,194 | 13,988,898 | 75.42% | 67.59% |
Georgia | 4,318 | 3,630 | 3,272 | 90.17% | 2,154 | 1,799 | 6,896,803 | 78.64% | 70.91% |
Hawaii | 4,535 | 3,895 | 3,526 | 90.31% | 2,253 | 1,853 | 987,872 | 74.86% | 67.61% |
Idaho | 4,031 | 3,230 | 3,024 | 93.67% | 2,164 | 1,819 | 1,087,205 | 80.16% | 75.08% |
Illinois | 18,426 | 16,309 | 13,789 | 84.44% | 9,265 | 7,440 | 10,289,341 | 74.83% | 63.19% |
Indiana | 4,307 | 3,702 | 3,493 | 94.36% | 2,205 | 1,848 | 5,034,811 | 78.51% | 74.08% |
Iowa | 4,287 | 3,768 | 3,556 | 94.41% | 2,021 | 1,778 | 2,444,771 | 85.10% | 80.35% |
Kansas | 3,975 | 3,427 | 3,217 | 93.90% | 2,082 | 1,773 | 2,205,753 | 81.55% | 76.58% |
Kentucky | 4,907 | 4,264 | 4,033 | 94.50% | 2,200 | 1,817 | 3,388,199 | 77.58% | 73.32% |
Louisiana | 4,273 | 3,573 | 3,338 | 93.37% | 2,165 | 1,873 | 3,612,933 | 83.10% | 77.59% |
Maine | 5,655 | 4,530 | 4,127 | 91.03% | 2,111 | 1,834 | 1,108,932 | 84.60% | 77.01% |
Maryland | 3,883 | 3,474 | 3,085 | 88.72% | 2,039 | 1,782 | 4,479,795 | 82.16% | 72.90% |
Massachusetts | 4,980 | 4,345 | 3,808 | 87.56% | 2,362 | 1,880 | 5,382,215 | 73.50% | 64.36% |
Michigan | 18,820 | 15,520 | 14,123 | 90.94% | 8,785 | 7,459 | 8,285,920 | 80.41% | 73.13% |
Minnesota | 4,202 | 3,696 | 3,438 | 92.92% | 2,048 | 1,782 | 4,173,917 | 82.68% | 76.83% |
Mississippi1 | 4,457 | 3,482 | 3,158 | 91.05% | 2,066 | 1,738 | 2,309,589 | 78.12% | 71.13% |
Missouri | 5,220 | 4,278 | 4,010 | 93.76% | 2,144 | 1,822 | 4,670,187 | 82.02% | 76.90% |
Montana | 5,156 | 4,045 | 3,823 | 94.52% | 2,143 | 1,825 | 763,745 | 80.81% | 76.38% |
Nebraska | 3,950 | 3,462 | 3,274 | 94.55% | 2,113 | 1,809 | 1,415,467 | 80.81% | 76.40% |
Nevada1 | 4,605 | 3,820 | 3,619 | 94.79% | 2,219 | 1,856 | 1,780,060 | 76.75% | 72.76% |
New Hampshire | 4,612 | 3,842 | 3,534 | 92.10% | 2,204 | 1,820 | 1,073,652 | 77.14% | 71.05% |
New Jersey | 5,118 | 4,577 | 4,023 | 87.85% | 2,191 | 1,737 | 7,096,943 | 73.75% | 64.79% |
New Mexico1 | 4,210 | 3,408 | 2,976 | 86.36% | 1,926 | 1,618 | 1,510,230 | 79.39% | 68.56% |
New York | 20,453 | 17,607 | 14,721 | 83.66% | 9,224 | 7,350 | 15,915,765 | 72.55% | 60.70% |
North Carolina | 4,528 | 3,792 | 3,545 | 93.61% | 2,132 | 1,806 | 6,765,963 | 80.14% | 75.02% |
North Dakota | 4,379 | 3,587 | 3,389 | 94.55% | 1,988 | 1,780 | 526,357 | 86.19% | 81.49% |
Ohio | 18,068 | 15,660 | 14,722 | 93.97% | 8,534 | 7,113 | 9,401,472 | 77.23% | 72.57% |
Oklahoma | 4,755 | 3,904 | 3,603 | 92.22% | 2,142 | 1,793 | 2,834,700 | 78.62% | 72.51% |
Oregon | 4,558 | 4,011 | 3,779 | 94.16% | 2,166 | 1,829 | 2,943,971 | 80.26% | 75.57% |
Pennsylvania | 19,970 | 16,734 | 15,192 | 90.81% | 8,465 | 7,178 | 10,327,498 | 80.06% | 72.70% |
Rhode Island | 4,713 | 4,108 | 3,655 | 88.86% | 2,248 | 1,839 | 900,023 | 74.65% | 66.33% |
South Carolina | 4,537 | 3,631 | 3,452 | 95.11% | 2,200 | 1,833 | 3,378,083 | 80.27% | 76.34% |
South Dakota | 4,207 | 3,466 | 3,292 | 94.90% | 1,993 | 1,795 | 620,633 | 86.56% | 82.15% |
Tennessee | 5,022 | 4,335 | 4,076 | 93.47% | 2,061 | 1,776 | 4,794,923 | 81.58% | 76.25% |
Texas | 15,631 | 12,874 | 12,039 | 93.53% | 8,443 | 7,215 | 17,319,992 | 80.94% | 75.70% |
Utah | 3,110 | 2,728 | 2,589 | 94.83% | 1,985 | 1,787 | 1,811,870 | 86.50% | 82.03% |
Vermont | 5,048 | 3,961 | 3,712 | 93.78% | 2,105 | 1,813 | 527,597 | 83.70% | 78.49% |
Virginia | 4,594 | 4,012 | 3,540 | 88.20% | 2,145 | 1,791 | 5,906,665 | 76.93% | 67.85% |
Washington | 4,929 | 4,035 | 3,752 | 92.88% | 2,207 | 1,842 | 5,007,815 | 78.42% | 72.84% |
West Virginia | 5,686 | 4,683 | 4,405 | 94.09% | 2,117 | 1,769 | 1,531,267 | 79.40% | 74.70% |
Wisconsin | 4,434 | 3,502 | 3,242 | 92.57% | 2,075 | 1,774 | 4,528,776 | 80.13% | 74.18% |
Wyoming | 4,360 | 3,497 | 3,304 | 94.48% | 2,091 | 1,792 | 414,602 | 81.81% | 77.29% |
Note: To compute the pooled 2002-2003 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 2002 and 2003 individual response rates. 1 Smaller sample sizes and response rates were attained in Mississippi, Nevada, and New Mexico in 2002 because the review of completed records determined a number of those interviews to be fraudulent. These interviews were consequently dropped. DU = dwelling unit. Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2002 and 2003. |
State | 1217 | 1825 | 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 | |
Overall | 51,617 | 46,355 | 24,874,472 | 89.78% | 54,475 | 46,212 | 31,376,283 | 84.31% | 56,120 | 43,343 | 180,161,872 | 75.22% |
Alabama | 685 | 628 | 380,805 | 92.36% | 764 | 664 | 499,453 | 86.47% | 683 | 547 | 2,812,905 | 77.99% |
Alaska | 741 | 651 | 69,400 | 88.47% | 731 | 619 | 62,791 | 83.85% | 693 | 528 | 368,460 | 75.27% |
Arizona | 706 | 644 | 485,521 | 91.67% | 723 | 620 | 602,265 | 85.15% | 706 | 557 | 3,329,482 | 77.74% |
Arkansas | 737 | 660 | 232,986 | 89.91% | 643 | 557 | 302,029 | 87.50% | 766 | 582 | 1,687,337 | 74.60% |
California | 2,820 | 2,540 | 3,140,739 | 90.12% | 2,922 | 2,419 | 3,919,577 | 82.48% | 3,092 | 2,240 | 21,392,421 | 70.41% |
Colorado | 676 | 601 | 385,648 | 88.60% | 759 | 622 | 493,921 | 81.06% | 755 | 602 | 2,798,960 | 79.01% |
Connecticut | 682 | 614 | 295,157 | 89.62% | 846 | 694 | 323,120 | 82.88% | 788 | 602 | 2,235,763 | 74.02% |
Delaware | 736 | 655 | 66,477 | 88.72% | 717 | 600 | 88,388 | 83.80% | 811 | 620 | 514,059 | 74.11% |
District of Columbia | 724 | 652 | 33,192 | 90.09% | 657 | 582 | 73,655 | 88.48% | 714 | 579 | 372,907 | 80.72% |
Florida | 2,712 | 2,416 | 1,346,297 | 89.13% | 2,941 | 2,488 | 1,576,278 | 83.99% | 3,101 | 2,290 | 11,066,322 | 72.68% |
Georgia | 681 | 617 | 748,467 | 90.08% | 655 | 548 | 945,489 | 85.36% | 818 | 634 | 5,202,846 | 75.87% |
Hawaii | 725 | 659 | 103,803 | 91.52% | 680 | 575 | 122,789 | 84.82% | 848 | 619 | 761,280 | 71.13% |
Idaho | 677 | 613 | 128,028 | 89.90% | 696 | 589 | 164,566 | 84.54% | 791 | 617 | 794,611 | 77.77% |
Illinois | 2,898 | 2,542 | 1,082,396 | 87.42% | 3,157 | 2,543 | 1,380,990 | 80.66% | 3,210 | 2,355 | 7,825,956 | 72.07% |
Indiana | 689 | 631 | 541,577 | 90.78% | 780 | 638 | 704,733 | 82.13% | 736 | 579 | 3,788,500 | 76.11% |
Iowa | 672 | 616 | 246,347 | 90.49% | 648 | 570 | 351,217 | 88.54% | 701 | 592 | 1,847,207 | 83.63% |
Kansas | 641 | 581 | 241,178 | 90.61% | 737 | 630 | 319,425 | 85.37% | 704 | 562 | 1,645,149 | 79.50% |
Kentucky | 725 | 631 | 327,727 | 85.79% | 691 | 581 | 454,574 | 83.93% | 784 | 605 | 2,605,898 | 75.48% |
Louisiana | 697 | 632 | 406,965 | 91.95% | 741 | 645 | 537,725 | 86.71% | 727 | 596 | 2,668,243 | 81.04% |
Maine | 682 | 614 | 108,861 | 89.84% | 724 | 625 | 130,511 | 87.24% | 705 | 595 | 869,560 | 83.60% |
Maryland | 694 | 638 | 476,696 | 91.35% | 611 | 539 | 536,352 | 87.15% | 734 | 605 | 3,466,746 | 79.97% |
Massachusetts | 746 | 656 | 508,325 | 87.97% | 764 | 609 | 672,543 | 80.52% | 852 | 615 | 4,201,348 | 70.71% |
Michigan | 2,794 | 2,497 | 895,753 | 89.53% | 3,106 | 2,694 | 1,091,376 | 86.92% | 2,885 | 2,268 | 6,298,792 | 77.93% |
Minnesota | 711 | 646 | 446,545 | 90.82% | 663 | 587 | 572,795 | 88.02% | 674 | 549 | 3,154,577 | 80.40% |
Mississippi1 | 652 | 596 | 257,508 | 92.18% | 661 | 567 | 347,410 | 86.29% | 753 | 575 | 1,704,672 | 74.39% |
Missouri | 727 | 640 | 491,394 | 88.24% | 720 | 618 | 628,542 | 85.79% | 697 | 564 | 3,550,250 | 80.48% |
Montana | 691 | 620 | 81,697 | 89.94% | 704 | 612 | 103,338 | 87.09% | 748 | 593 | 578,710 | 78.40% |
Nebraska | 678 | 612 | 152,465 | 90.55% | 731 | 631 | 204,600 | 86.74% | 704 | 566 | 1,058,402 | 78.19% |
Nevada1 | 702 | 637 | 184,670 | 90.73% | 720 | 620 | 215,631 | 86.34% | 797 | 599 | 1,379,759 | 73.33% |
New Hampshire | 672 | 588 | 113,457 | 88.12% | 804 | 675 | 129,505 | 84.22% | 728 | 557 | 830,689 | 74.56% |
New Jersey | 650 | 578 | 719,658 | 89.01% | 756 | 595 | 791,085 | 77.76% | 785 | 564 | 5,586,200 | 71.15% |
New Mexico1 | 589 | 532 | 176,611 | 89.85% | 661 | 566 | 210,636 | 86.39% | 676 | 520 | 1,122,984 | 76.48% |
New York | 2,818 | 2,473 | 1,562,426 | 87.12% | 3,183 | 2,571 | 2,036,478 | 80.55% | 3,223 | 2,306 | 12,316,861 | 69.31% |
North Carolina | 678 | 610 | 685,632 | 89.01% | 761 | 644 | 875,677 | 84.54% | 693 | 552 | 5,204,654 | 78.20% |
North Dakota | 642 | 596 | 54,387 | 92.84% | 641 | 583 | 82,312 | 90.99% | 705 | 601 | 389,658 | 84.24% |
Ohio | 2,714 | 2,420 | 987,986 | 88.97% | 2,864 | 2,453 | 1,231,294 | 85.63% | 2,956 | 2,240 | 7,182,193 | 74.08% |
Oklahoma | 736 | 637 | 302,673 | 86.17% | 701 | 605 | 411,137 | 84.77% | 705 | 551 | 2,120,890 | 76.06% |
Oregon | 699 | 635 | 297,076 | 90.38% | 738 | 617 | 385,140 | 83.63% | 729 | 577 | 2,261,755 | 78.35% |
Pennsylvania | 2,762 | 2,475 | 1,028,108 | 89.95% | 2,839 | 2,453 | 1,290,045 | 86.25% | 2,864 | 2,250 | 8,009,346 | 77.70% |
Rhode Island | 726 | 642 | 85,295 | 88.17% | 732 | 619 | 126,228 | 84.66% | 790 | 578 | 688,500 | 71.06% |
South Carolina | 682 | 611 | 345,629 | 89.90% | 785 | 654 | 458,404 | 82.81% | 733 | 568 | 2,574,050 | 78.51% |
South Dakota | 660 | 624 | 69,742 | 94.99% | 664 | 601 | 90,990 | 90.77% | 669 | 570 | 459,901 | 84.40% |
Tennessee | 727 | 676 | 473,558 | 92.42% | 530 | 451 | 621,828 | 84.19% | 804 | 649 | 3,699,537 | 79.69% |
Texas | 2,626 | 2,377 | 2,018,953 | 90.59% | 2,841 | 2,473 | 2,512,206 | 87.21% | 2,976 | 2,365 | 12,788,834 | 78.18% |
Utah | 620 | 595 | 229,447 | 96.01% | 645 | 590 | 360,378 | 91.50% | 720 | 602 | 1,222,045 | 83.21% |
Vermont | 690 | 618 | 53,924 | 90.00% | 722 | 620 | 69,851 | 86.39% | 693 | 575 | 403,822 | 82.35% |
Virginia | 621 | 576 | 607,438 | 92.67% | 780 | 652 | 739,131 | 82.83% | 744 | 563 | 4,560,096 | 74.06% |
Washington | 667 | 608 | 528,622 | 90.12% | 751 | 625 | 653,701 | 83.29% | 789 | 609 | 3,825,493 | 75.95% |
West Virginia | 663 | 586 | 139,163 | 88.23% | 707 | 598 | 194,555 | 84.94% | 747 | 585 | 1,197,550 | 77.47% |
Wisconsin | 608 | 551 | 482,686 | 90.21% | 785 | 687 | 620,505 | 86.32% | 682 | 536 | 3,425,585 | 77.65% |
Wyoming | 666 | 608 | 45,377 | 91.90% | 693 | 594 | 59,114 | 86.23% | 732 | 590 | 310,110 | 79.45% |
Note: To compute the pooled 2002-2003 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 2002 and 2003 individual response rates. 1 Smaller sample sizes and response rates were attained in Mississippi, Nevada, and New Mexico in 2002 because the review of completed records determined a number of those interviews to be fraudulent. These interviews were consequently dropped. Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2002 and 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 |
---|---|---|---|---|---|---|---|---|---|
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% |
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. |
State | 1217 | 1825 | 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 | |
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% |
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. |
State | 2002 | 2003 | 2004 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | |
Overall | 36,567 | 32,794 | 37,200,835 | 89.24% | 35,468 | 31,493 | 37,517,008 | 88.54% | 35,343 | 31,221 | 37,736,765 | 88.01% |
Alabama | 511 | 467 | 587,585 | 91.22% | 491 | 448 | 624,780 | 91.36% | 474 | 424 | 609,056 | 88.81% |
Alaska | 545 | 492 | 96,322 | 90.07% | 490 | 419 | 97,543 | 86.51% | 484 | 428 | 97,677 | 87.90% |
Arizona | 486 | 445 | 699,214 | 91.75% | 467 | 419 | 709,434 | 90.17% | 460 | 391 | 692,728 | 85.11% |
Arkansas | 492 | 436 | 350,404 | 89.04% | 487 | 436 | 350,182 | 89.68% | 483 | 425 | 360,424 | 87.61% |
California | 1,961 | 1,749 | 4,652,169 | 88.72% | 1,945 | 1,712 | 4,793,532 | 87.79% | 1,975 | 1,737 | 4,886,817 | 87.62% |
Colorado | 486 | 429 | 576,143 | 87.91% | 457 | 403 | 562,345 | 86.11% | 490 | 436 | 590,904 | 90.26% |
Connecticut | 513 | 460 | 422,161 | 89.91% | 478 | 423 | 428,352 | 87.94% | 482 | 427 | 429,774 | 88.45% |
Delaware | 536 | 474 | 105,693 | 87.77% | 488 | 425 | 100,828 | 86.87% | 492 | 425 | 103,646 | 86.64% |
District of Columbia | 464 | 432 | 64,106 | 93.65% | 484 | 433 | 57,202 | 90.35% | 439 | 393 | 55,748 | 90.02% |
Florida | 1,911 | 1,722 | 1,932,413 | 90.10% | 1,910 | 1,658 | 2,048,669 | 86.55% | 1,943 | 1,687 | 2,041,124 | 86.80% |
Georgia | 455 | 405 | 1,096,267 | 89.73% | 450 | 402 | 1,116,747 | 88.69% | 423 | 376 | 1,072,483 | 88.79% |
Hawaii | 469 | 419 | 155,358 | 90.41% | 526 | 476 | 154,005 | 90.33% | 434 | 395 | 146,333 | 91.25% |
Idaho | 465 | 421 | 186,467 | 89.74% | 451 | 399 | 191,599 | 88.36% | 457 | 417 | 208,478 | 91.75% |
Illinois | 2,038 | 1,780 | 1,606,101 | 87.07% | 1,958 | 1,688 | 1,622,676 | 86.38% | 1,880 | 1,655 | 1,658,743 | 88.14% |
Indiana | 527 | 477 | 856,119 | 88.82% | 461 | 410 | 805,229 | 87.52% | 479 | 406 | 821,329 | 82.80% |
Iowa | 472 | 433 | 407,912 | 92.58% | 454 | 414 | 382,804 | 89.19% | 479 | 430 | 387,153 | 90.72% |
Kansas | 469 | 429 | 370,727 | 91.68% | 466 | 419 | 379,463 | 89.77% | 412 | 369 | 357,889 | 90.00% |
Kentucky | 488 | 420 | 473,643 | 83.76% | 487 | 424 | 517,645 | 86.09% | 486 | 426 | 509,725 | 87.63% |
Louisiana | 481 | 434 | 628,050 | 91.33% | 503 | 456 | 628,632 | 90.59% | 469 | 434 | 638,363 | 93.03% |
Maine | 478 | 437 | 167,452 | 91.86% | 487 | 427 | 165,367 | 87.61% | 466 | 406 | 161,056 | 86.28% |
Maryland | 520 | 481 | 700,758 | 92.50% | 412 | 373 | 696,774 | 89.12% | 455 | 418 | 698,869 | 91.70% |
Massachusetts | 523 | 450 | 726,357 | 87.01% | 473 | 406 | 726,797 | 85.32% | 466 | 404 | 761,421 | 86.79% |
Michigan | 2,058 | 1,844 | 1,337,752 | 90.07% | 1,961 | 1,750 | 1,369,113 | 89.03% | 2,022 | 1,786 | 1,362,028 | 88.13% |
Minnesota | 443 | 405 | 660,986 | 91.01% | 514 | 470 | 684,381 | 92.34% | 466 | 410 | 647,035 | 87.57% |
Mississippi1 | 460 | 418 | 396,888 | 90.35% | 417 | 381 | 380,147 | 92.90% | 434 | 403 | 377,607 | 92.62% |
Missouri | 487 | 435 | 741,043 | 89.39% | 504 | 434 | 747,842 | 86.09% | 482 | 407 | 739,176 | 82.71% |
Montana | 496 | 441 | 118,533 | 89.37% | 462 | 412 | 124,324 | 89.19% | 476 | 415 | 125,547 | 87.01% |
Nebraska | 486 | 436 | 240,071 | 90.37% | 479 | 436 | 234,433 | 91.22% | 398 | 349 | 214,257 | 87.57% |
Nevada1 | 532 | 481 | 264,864 | 90.26% | 427 | 385 | 263,304 | 90.22% | 424 | 381 | 272,295 | 89.35% |
New Hampshire | 496 | 432 | 160,899 | 87.68% | 511 | 452 | 180,199 | 88.79% | 463 | 402 | 171,351 | 86.24% |
New Jersey | 489 | 428 | 1,060,363 | 87.68% | 446 | 386 | 1,002,752 | 86.27% | 446 | 373 | 1,040,817 | 81.91% |
New Mexico1 | 363 | 326 | 270,071 | 89.22% | 480 | 434 | 262,302 | 90.61% | 477 | 437 | 267,026 | 90.81% |
New York | 2,031 | 1,753 | 2,337,270 | 85.37% | 1,944 | 1,705 | 2,402,951 | 87.33% | 1,923 | 1,643 | 2,386,440 | 85.64% |
North Carolina | 481 | 433 | 991,541 | 88.87% | 479 | 422 | 1,041,193 | 87.77% | 462 | 415 | 1,040,105 | 89.50% |
North Dakota | 497 | 466 | 91,095 | 93.68% | 416 | 382 | 91,756 | 92.00% | 515 | 464 | 91,193 | 89.71% |
Ohio | 1,845 | 1,653 | 1,441,043 | 89.37% | 1,916 | 1,687 | 1,501,608 | 87.57% | 1,965 | 1,712 | 1,477,159 | 86.84% |
Oklahoma | 514 | 443 | 479,049 | 84.54% | 506 | 442 | 464,325 | 86.24% | 468 | 416 | 451,625 | 89.08% |
Oregon | 503 | 448 | 458,891 | 88.35% | 472 | 421 | 422,957 | 88.78% | 487 | 425 | 448,317 | 87.18% |
Pennsylvania | 2,009 | 1,803 | 1,602,990 | 89.65% | 1,889 | 1,691 | 1,560,665 | 89.95% | 1,865 | 1,661 | 1,601,008 | 89.67% |
Rhode Island | 509 | 464 | 133,296 | 89.73% | 490 | 419 | 133,702 | 85.96% | 515 | 443 | 148,022 | 87.42% |
South Carolina | 486 | 431 | 533,703 | 88.60% | 451 | 401 | 503,091 | 88.46% | 431 | 384 | 503,928 | 89.79% |
South Dakota | 486 | 458 | 109,809 | 93.72% | 436 | 403 | 105,738 | 92.98% | 427 | 396 | 105,280 | 91.57% |
Tennessee | 503 | 467 | 797,436 | 93.05% | 446 | 408 | 725,796 | 89.73% | 408 | 379 | 687,831 | 92.64% |
Texas | 1,856 | 1,681 | 2,950,235 | 90.50% | 1,773 | 1,594 | 2,986,183 | 90.10% | 1,876 | 1,679 | 3,070,551 | 89.67% |
Utah | 428 | 413 | 378,829 | 95.69% | 414 | 388 | 355,508 | 94.04% | 466 | 430 | 360,286 | 92.16% |
Vermont | 480 | 439 | 82,118 | 92.35% | 470 | 419 | 79,202 | 89.66% | 473 | 418 | 79,607 | 88.84% |
Virginia | 450 | 413 | 864,521 | 92.09% | 464 | 423 | 935,590 | 90.87% | 434 | 389 | 915,164 | 87.44% |
Washington | 448 | 392 | 797,499 | 86.54% | 517 | 466 | 809,829 | 90.25% | 513 | 454 | 863,672 | 87.17% |
West Virginia | 470 | 425 | 225,498 | 90.34% | 446 | 385 | 212,611 | 86.41% | 467 | 426 | 227,229 | 91.82% |
Wisconsin | 474 | 421 | 738,285 | 87.31% | 442 | 409 | 704,508 | 90.90% | 503 | 440 | 704,083 | 88.50% |
Wyoming | 497 | 453 | 74,840 | 91.71% | 471 | 418 | 70,394 | 89.10% | 429 | 375 | 68,388 | 89.04% |
1 Smaller sample sizes and response rates were attained in Mississippi, Nevada, and New Mexico in 2002 because the review of completed records determined a number of those interviews to be fraudulent. These interviews were consequently dropped. Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2002, 2003, and 2004. |
State | 2002-2003 | 2003-2004 | ||||||
---|---|---|---|---|---|---|---|---|
Total Selected | Total Responded | Population Estimate | Weighted Interview Response Rate | Total Selected | Total Responded | Population Estimate | Weighted Interview Response Rate | |
Overall | 72,035 | 64,287 | 37,358,921 | 88.89% | 70,811 | 62,714 | 37,626,886 | 88.27% |
Alabama | 1,002 | 915 | 606,182 | 91.29% | 965 | 872 | 616,918 | 90.08% |
Alaska | 1,035 | 911 | 96,933 | 88.33% | 974 | 847 | 97,610 | 87.21% |
Arizona | 953 | 864 | 704,324 | 90.94% | 927 | 810 | 701,081 | 87.64% |
Arkansas | 979 | 872 | 350,293 | 89.36% | 970 | 861 | 355,303 | 88.63% |
California | 3,906 | 3,461 | 4,722,850 | 88.25% | 3,920 | 3,449 | 4,840,174 | 87.71% |
Colorado | 943 | 832 | 569,244 | 87.02% | 947 | 839 | 576,625 | 88.22% |
Connecticut | 991 | 883 | 425,257 | 88.92% | 960 | 850 | 429,063 | 88.20% |
Delaware | 1,024 | 899 | 103,260 | 87.32% | 980 | 850 | 102,237 | 86.75% |
District of Columbia | 948 | 865 | 60,654 | 92.06% | 923 | 826 | 56,475 | 90.19% |
Florida | 3,821 | 3,380 | 1,990,541 | 88.29% | 3,853 | 3,345 | 2,044,897 | 86.68% |
Georgia | 905 | 807 | 1,106,507 | 89.21% | 873 | 778 | 1,094,615 | 88.74% |
Hawaii | 995 | 895 | 154,682 | 90.37% | 960 | 871 | 150,169 | 90.77% |
Idaho | 916 | 820 | 189,033 | 89.03% | 908 | 816 | 200,038 | 90.11% |
Illinois | 3,996 | 3,468 | 1,614,389 | 86.72% | 3,838 | 3,343 | 1,640,709 | 87.27% |
Indiana | 988 | 887 | 830,674 | 88.18% | 940 | 816 | 813,279 | 85.13% |
Iowa | 926 | 847 | 395,358 | 90.92% | 933 | 844 | 384,978 | 89.96% |
Kansas | 935 | 848 | 375,095 | 90.72% | 878 | 788 | 368,676 | 89.88% |
Kentucky | 975 | 844 | 495,644 | 84.96% | 973 | 850 | 513,685 | 86.86% |
Louisiana | 984 | 890 | 628,341 | 90.96% | 972 | 890 | 633,497 | 91.81% |
Maine | 965 | 864 | 166,409 | 89.72% | 953 | 833 | 163,212 | 86.95% |
Maryland | 932 | 854 | 698,766 | 90.86% | 867 | 791 | 697,822 | 90.45% |
Massachusetts | 996 | 856 | 726,577 | 86.20% | 939 | 810 | 744,109 | 86.08% |
Michigan | 4,019 | 3,594 | 1,353,433 | 89.55% | 3,983 | 3,536 | 1,365,570 | 88.58% |
Minnesota | 957 | 875 | 672,684 | 91.68% | 980 | 880 | 665,708 | 89.98% |
Mississippi1 | 877 | 799 | 388,518 | 91.56% | 851 | 784 | 378,877 | 92.76% |
Missouri | 991 | 869 | 744,442 | 87.70% | 986 | 841 | 743,509 | 84.40% |
Montana | 958 | 853 | 121,428 | 89.28% | 938 | 827 | 124,935 | 88.09% |
Nebraska | 965 | 872 | 237,252 | 90.80% | 877 | 785 | 224,345 | 89.52% |
Nevada1 | 959 | 866 | 264,084 | 90.24% | 851 | 766 | 267,799 | 89.77% |
New Hampshire | 1,007 | 884 | 170,549 | 88.27% | 974 | 854 | 175,775 | 87.56% |
New Jersey | 935 | 814 | 1,031,558 | 87.00% | 892 | 759 | 1,021,785 | 84.06% |
New Mexico1 | 843 | 760 | 266,187 | 89.88% | 957 | 871 | 264,664 | 90.71% |
New York | 3,975 | 3,458 | 2,370,111 | 86.35% | 3,867 | 3,348 | 2,394,695 | 86.48% |
North Carolina | 960 | 855 | 1,016,367 | 88.31% | 941 | 837 | 1,040,649 | 88.66% |
North Dakota | 913 | 848 | 91,425 | 92.85% | 931 | 846 | 91,474 | 90.84% |
Ohio | 3,761 | 3,340 | 1,471,325 | 88.45% | 3,881 | 3,399 | 1,489,383 | 87.21% |
Oklahoma | 1,020 | 885 | 471,687 | 85.40% | 974 | 858 | 457,975 | 87.60% |
Oregon | 975 | 869 | 440,924 | 88.56% | 959 | 846 | 435,637 | 87.95% |
Pennsylvania | 3,898 | 3,494 | 1,581,827 | 89.80% | 3,754 | 3,352 | 1,580,836 | 89.81% |
Rhode Island | 999 | 883 | 133,499 | 87.85% | 1,005 | 862 | 140,862 | 86.72% |
South Carolina | 937 | 832 | 518,397 | 88.54% | 882 | 785 | 503,509 | 89.14% |
South Dakota | 922 | 861 | 107,773 | 93.35% | 863 | 799 | 105,509 | 92.27% |
Tennessee | 949 | 875 | 761,616 | 91.47% | 854 | 787 | 706,814 | 91.17% |
Texas | 3,629 | 3,275 | 2,968,209 | 90.30% | 3,649 | 3,273 | 3,028,367 | 89.89% |
Utah | 842 | 801 | 367,168 | 94.88% | 880 | 818 | 357,897 | 93.10% |
Vermont | 950 | 858 | 80,660 | 91.03% | 943 | 837 | 79,404 | 89.25% |
Virginia | 914 | 836 | 900,055 | 91.46% | 898 | 812 | 925,377 | 89.17% |
Washington | 965 | 858 | 803,664 | 88.39% | 1,030 | 920 | 836,750 | 88.70% |
West Virginia | 916 | 810 | 219,055 | 88.45% | 913 | 811 | 219,920 | 89.25% |
Wisconsin | 916 | 830 | 721,396 | 89.06% | 945 | 849 | 704,296 | 89.70% |
Wyoming | 968 | 871 | 72,617 | 90.45% | 900 | 793 | 69,391 | 89.07% |
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. 1 Smaller sample sizes and response rates were attained in Mississippi, Nevada, and New Mexico in 2002 because the review of completed records determined a number of those interviews to be fraudulent. These interviews were consequently dropped. Source: SAMHSA, Office of Applied Studies, National Survey on Drug Use and Health, 2002, 2003, and 2004. |
8In 2002, the name of the survey was changed from the National Household Survey on Drug Abuse (NHSDA) to NSDUH.
This page was last updated on December 30, 2008. |
SAMHSA, an agency in the Department of Health and Human Services, is the Federal Government's lead agency for improving the quality and availability of substance abuse prevention, addiction treatment, and mental health services in the United States.
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