Plumas County Area California Highway Patrol Alcohol and Other Drugs Statistics

Transcription

1 Plumas County Area California Highway Patrol Alcohol and Other Drugs Statistics 7/1/09 thru 6/30/10 7/1/10 thru 6/30/11 Notes/Questions Total Traffic Collisions Total DUI Collisions 40 (13.0%) 22 (8.0%) DUI resulting in death 1 0 DUI Resulting in injury Total DUI Arrests (Sections23152(A)VC) Arrests for section 23152(B)VC [BAC=.08% or greater] BAC=.08.16% BAC=.16% or greater DUI requiring drug recognition expert evaluation (most common drugs: marijuana, pain killers (opiates), meth =60% of DUI collisions; 7.8% of all collisions 11=50% of DUI collisions; 4% of all collisions The number of DUI subsets does not add up to either the total section 23152(B) arrests or the total arrests. Why? Total DUI Arrests by Gender 234 (100%) 243 (100%) Male 166 (71.0%) 171 (70.4%) Female 68 (29.0%) 72 (29.6%) Total DUI Arrests by Age 234 (100%) 243 (100%) Under age (7.3%) 20 ( 8.2%) (26.1%) 64 (26.3%) (21.4%) 49 (20.2%) (20.1%) 53 (21.8%) (21.0%) 46 (18.9%) 61 or older 10 (4.3%) 11 ( 4.5%) Total DUI Arrests by Ethnicity 234 (100%) 243 (100%) White 217 (92.7%) 220 (90.5%) Asian 0 1 (0.4%) Black 3 (1.3%) 4 (1.6%) Hispanic 11 (4.7%) 16 (6.6%) Native American 0 1 (0.4%) Other 3 (1.3%) 1 (0.4%) Arrests for 647(F) Public Intoxication 14 13

2 Drug Court and Prop 36 Current Participants Numbers of Participants Currently (as of Sept. 2011) Men Women Total Drug Court Prop The Drug Court currently has 15 participants. It should be much bigger but we have let it decline due to an unknown future. This program is optional both for the Court and the defendent but all clients must have at least a felony and a drug abuse assessment and have some desire for recovery. We are expecting this to expand due to parollees arriving here in the next weeks as soon as funding can be assured. Prop 36 currently has 27 participants. The law requires the Court to sentence certain offenders to P36. Drug Offenders who have failed DEJ (see below) are eligible, also second time drug offenses either misdemenor or felony. It should have drug testing, treatment elements depending on assessment and is one year long. There are three chances to fail. No jail can be imposed until after three failures, either new charges or drug relapses. The County is required to provide something although some counties make the defendents pay. Much of this is in transition. DEJ stands for Deferred Entry of Judgement defined in Penal Code section First time drug offenders with no other charges must be offered this program. It is 18 mos. of drug testing and some limited mostly eduational groups, not treatment per se. After completion the charges are dropped and case is dismissed. Failure can lead to P36, Drug Court or Jail. There has been no treatment options for juveniles in recent time. In the past we have found that there are very few true addict kids although there may be a lot of beginning abuse of alcohol, marijuana, tobacco and prescription drugs they find in home medicine cabinets. If there are true addict kids who break the law, the number is probably less than five or six. Efforts to meet this challenge have failed in the past. Its very complex because no success can be realized without a real commitment from the whole family. Kids are very hard to reach and motivating them to see the problem is ephemeral. The family often has an addiction problem in the parents. Any program would have to be expensive and comprehensive.

3 September 15, 2011 Child Welfare Cases Opened (Juvenile Dependency Petitions Filed) (per child), during calendar month, where Alcohol and/or Drugs was the primary cause for removal of the children from the care of their parent(s). Month/Year Number of Cases Opened (One case = One child) August September October November December January February March April May June July Child s Hair Sample tests with Positive Results for exposure to illegal substances Total: August 2010 to July Prepared by Plumas County Department of Social Services - Social Worker Supervisor William Snitkin and Tom Thompson, RN PHN

4 Local 12-Step Groups Currently (as of Sept. 2011) Meetings by Location: AA Alanon NA OA Chester Graeage 1 Greenville 2 Portola 4 3 Quincy Quincy: The meetings in Quincy have better attendance because a larger town with more people can support a more vibrant recovery. Also, Orchard House has been a great stimulus for the local meetings. Orchard House (above the parking lot at H&HS) has 21 meetings per week, usually 3 per day. Call list for individuals who go to NA, AA, or both Men Women Total before orchard house Alanon for families and friends of addicts has regular attenders, almost all women. Overeaters Anonymous has 6 regular attenders, occasionally more.

5 Indicators of Alcohol and Other Drug Risk and Consequences for California Counties DRAFT Plumas County 2010

6 Indicators of Alcohol and Other Drug Risk and Consequences for California Counties DRAFT Plumas County 2010

7 TABLE OF CONTENTS Introduction... 1 Key Findings... 3 Summary of Key Indicators of Community Alcohol and Drug Use... 5 Indicator 1: Prevalence of Past Year Binge Drinking Table/Figure 1.1 Estimated Number and Percent of Persons 18 Years and Older Reporting Any Binge Drinking in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties in the Past Year with Comparison to State Rates...6 Table/Figure 1.2 Estimated Number of Persons 18 Years and Older Reporting Any Binge Drinking in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties in the Past Year by Gender...6 Table 1.3 Estimated Number of Persons 18 Years and Older Reporting Any Binge Drinking in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties in the Past Year by Race/Ethnicity...7 Figure 1.3 Past Year Binge Drinking in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties by Race/Ethnicity...7 Table 1.4 Estimated Number of Persons 18 Years and Older Reporting Any Binge Drinking in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties in the Past Year by Age Category...8 Figure 1.4 Past Year Binge Drinking in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties by Age Category...8 Indicator 2: Admissions to Alcohol and Other Drug Treatment Treatment Data Clarifications... 9 Table 2.1 Number of Admissions to Alcohol and Other Drug Treatment in Del Norte, Modoc, Plumas, and Sierra Counties and Rate per 100,000 Total Population with Comparison to Statewide Rates...9 Figure 2.1 Del Norte, Modoc, Plumas, and Sierra Counties Treatment Admission Rate per 100,000 Total Population with Comparison to Statewide Rates...9 Table 2.2 Admissions to Alcohol and Other Drug Treatment in Del Norte, Modoc, Plumas, and Sierra Counties by Client Gender, Rate per 100,000 Population, and Percent of Total Admissions Figure 2.2 Del Norte, Modoc, Plumas, and Sierra Counties Treatment Admission Rate per 100,000 Population by Client Gender Table 2.3 Treatment Admissions in Del Norte, Modoc, Plumas, and Sierra Counties by Primary Drug Type, Percent of Total Admissions, and Rate per 100,000 Population Figure 2.3 Del Norte, Modoc, Plumas, and Sierra Counties Treatment Admission Rate per 100,000 Population by Primary Drug Type Table 2.4 Admissions to Alcohol and Other Drug Treatment in Del Norte, Modoc, Plumas, and Sierra Counties by Client Race/Ethnicity, Rate per 100,000 Population, and Percent of Total Admissions Figure 2.4 Del Norte, Modoc, Plumas, and Sierra Counties Treatment Admission Rate per 100,000 Population by Client Race/Ethnicity Table 2.5 Admissions to Alcohol and Other Drug Treatment in Del Norte, Modoc, Plumas, and Sierra Counties by Client Age Category, Rate per 100,000 Population, and Percent of Total Admissions Figure 2.5 Del Norte, Modoc, Plumas, and Sierra Counties Treatment Admission Rate per 100,000 Population by Client Age Category Table 2.6 Characteristics of Clients Admitted to Alcohol and Other Drug Treatment in Del Norte, Modoc, Plumas, and Sierra Counties and Rate per 100,000 Population Figure 2.6 Del Norte, Modoc, Plumas, and Sierra Counties Age of Substance Use Initiation Rate per 100,000 Population Table 2.7 AOD Treatment Admissions in Del Norte, Modoc, Plumas, and Sierra Counties by Primary Drug Type, Percent of Total Admissions, and Rate per 100,000 Population 0 to 17 Years Figure 2.7 Del Norte, Modoc, Plumas, and Sierra Counties Underage Treatment Admission Rate per 100,000 Population 0 to 17 by Primary Drug Type Table 2.8 AOD Treatment Admissions among Youth Under Age 18 in Del Norte, Modoc, Plumas, and Sierra Counties by Gender and Client Race/Ethnicity, Rate per 100,000 Population 0 to 17, and Percent of Total Admissions Indicators of Alcohol and Other Drug Abuse Table of Contents Plumas County, California

8 Indicator 3: Arrests for Drug Related Crime Table 3.1 Number of Arrests for Felony and Misdemeanor Drug Offenses and Rate per 100,000 Population 10 to 69 Years with Comparison to Statewide Rates Figure 3.1 Plumas County Drug Arrest Rate per 100,000 Population 10 to 69 with Comparison to Statewide Rates Table 3.2 Number of Arrests for Felony and Misdemeanor Drug Offenses by Offender Gender, Rate per 100,000 Population 10 to 69 Years, and Percent of Total Drug Arrests Figure 3.2 Plumas County Drug Arrest Rate per 100,000 Population 10 to 69 by Offender Gender Table 3.3 Number of Arrests for Felony and Misdemeanor Drug Offenses by Specific Offense, Rate per 100,000 Population 10 to 69 Years, and Percent of Total Drug Arrests Figure 3.3 Plumas County Drug Arrest Rate per 100,000 Population 10 to 69 by Specific Offense Table 3.4 Number of Arrests for Felony and Misdemeanor Drug Offenses by Offender Race/Ethnicity, Rate per 100,000 Population 10 to 69 Years, and Percent of Total Drug Arrests Figure 3.4 Plumas County Drug Arrest Rate per 100,000 Population 10 to 69 by Offender Race/Ethnicity Table 3.5 Number of Arrests for Felony and Misdemeanor Drug Offenses by Offender Age Category, Rate per 100,000 Population 10 to 69 Years, and Percent of Total Drug Arrests Figure 3.5 Plumas County Drug Arrest Rate per 100,000 Population by Offender Age Category Table 3.6 Number of Arrests for Felony and Misdemeanor Drug Offenses by Gender and Race/Ethnicity among Underage Offenders, Rate per 100,000 Population 10 to 17 Years, and Percent of Total Drug Arrests Indicator 4: Arrests for Alcohol Related Crime Table 4.1 Number of Arrests for Felony and Misdemeanor Alcohol Offenses and Rate per 100,000 Population 10 to 69 Years with Comparison to Statewide Rates Figure 4.1 Plumas County Alcohol Arrest Rate per 100,000 Population 10 to 69 with Comparison to Statewide Rates Table 4.2 Number of Arrests for Felony and Misdemeanor Alcohol Offenses by Offender Gender, Rate per 100,000 Population 10 to 69 Years, and Percent of Total Alcohol Arrests Figure 4.2 Plumas County Alcohol Arrest Rate per 100,000 Population 10 to 69 by Offender Gender Table 4.3 Number of Arrests for Felony and Misdemeanor Alcohol Offenses by Specific Offense, Rate per 100,000 Population 10 to 69 Years, and Percent of Total Alcohol Arrests Figure 4.3 Plumas County Alcohol Arrest Rate per 100,000 Population 10 to 69 by Specific Offense Table 4.4 Number of Arrests for Felony and Misdemeanor Alcohol Offenses by Offender Race/Ethnicity, Rate per 100,000 Population 10 to 69 Years, and Percent of Total Alcohol Arrests Figure 4.4 Plumas County Alcohol Arrest Rate per 100,000 Population 10 to 69 by Offender Race/Ethnicity Table 4.5 Number of Arrests for Felony and Misdemeanor Alcohol Offenses by Offender Age Category, Rate per 100,000 Population, and Percent of Total Alcohol Arrests Figure 4.5 Plumas County Alcohol Arrest Rate per 100,000 Population by Offender Age Category Table 4.6 Number of Arrests for Felony and Misdemeanor Alcohol Offenses by Gender and Race/Ethnicity among Underage Offenders, Rate per 100,000 Population 10 to 17 Years, and Percent of Total Alcohol Arrests Indicator 5: Alcohol Involved Motor Vehicle Accidents Table 5.1 Plumas County Fatalities in Alcohol Involved Accidents and Rate per 100,000 Total Population with Comparison to Statewide Rates Figure 5.1 Plumas County Alcohol Involved Accident Fatality Rate per 100,000 Total Population with Comparison to Statewide Rates Table 5.2 Parties in Alcohol Involved Accidents Who Had Been Drinking by Party Gender, Rate per 100,000 Population, and Percent of Total Figure 5.2 Plumas County Had Been Drinking Driver Rate per 100,000 Population, by Party Gender Table 5.3 Plumas County Alcohol Involved Accidents by Injury Severity, Rate per 100,000 Total Population, and Percent of Total Figure 5.3 Plumas County Alcohol Involved Rate per 100,000 Total Population, by Injury Severity Table 5.4 Parties in Alcohol Involved Accidents Who Had Been Drinking by Party Race/Ethnicity, Rate per 100,000 Population, and Percent of Total Figure 5.4 Plumas County Had Been Drinking Driver Rate per 100,000 Population, by Party Race/Ethnicity Table 5.5 Parties in Alcohol Involved Accidents Who Had Been Drinking by Party Age Category, Rate per 100,000 Population, and Percent of Total Indicators of Alcohol and Other Drug Abuse Table of Contents Plumas County, California

9 Figure 5.5 Plumas County Had Been Drinking Driver Rate per 100,000 Population, by Party Age Category Indicator 6: Hospitalization Due to Alcohol and Drug Use Table 6.1 Hospitalizations Due to Alcohol and Drug Related Causes (Combined) in Del Norte, Modoc, Plumas, and Sierra Counties and Rate per 100,000 Total Population with Comparison to Statewide Rates Figure 6.1 Del Norte, Modoc, Plumas, and Sierra Counties Alcohol and Drug Related Hospitalization Rate per 100,000 Total Population with Comparison to Statewide Rates Table 6.2 Hospitalizations Due to Alcohol and Drug Related Causes (Combined) in Del Norte, Modoc, Plumas, and Sierra Counties by Patient Gender, Rate per 100,000 Population, and Percent of Total Admissions Figure 6.2 Del Norte, Modoc, Plumas, and Sierra Counties AOD Related Hospitalization Rate per 100,000 Population by Patient Gender Table 6.3 Hospitalizations Due to Alcohol Related Causes in Del Norte, Modoc, Plumas, and Sierra Counties and Rate per 100,000 Total Population with Comparison to Statewide Rates Figure 6.3 Del Norte, Modoc, Plumas, and Sierra Counties Alcohol Related Hospitalization Rate per 100,000 Total Population with Comparison to Statewide Rates Table 6.4 Hospitalizations Due to Drug Related Causes in Del Norte, Modoc, Plumas, and Sierra Counties and Rate per 100,000 Total Population with Comparison to Statewide Rates Figure 6.4 Del Norte, Modoc, Plumas, and Sierra Counties Drug Related Hospitalization Rate per 100,000 Total Population with Comparison to Statewide Rates Table 6.5 Hospitalizations Due to Alcohol Related Causes in Del Norte, Modoc, Plumas, and Sierra Counties by Specific Cause and Rate per 100,000 Total Population Table 6.6 Hospitalizations Due to Drug Related Causes by Specific Cause in Del Norte, Modoc, Plumas, and Sierra Counties and Rate per 100,000 Total Population Table 6.7 Hospitalizations Due to Alcohol and Drug Related Causes (Combined) in Del Norte, Modoc, Plumas, and Sierra Counties by Patient Race/Ethnicity, Rate per 100,000 Population, and Percent of Hospitalizations Figure 6.5 Del Norte, Modoc, Plumas, and Sierra Counties AOD Related Hospitalization Rate per 100,000 Population by Patient Race/Ethnicity Table 6.8 Hospitalizations Due to Alcohol and Drug Related Causes (Combined) in Del Norte, Modoc, Plumas, and Sierra Counties by Patient Age Category, Rate per 100,000 Population, and Percent of Hospitalizations Figure 6.6 Del Norte, Modoc, Plumas, and Sierra Counties AOD Related Hospitalization Rate per 100,000 Population by Patient Age Category Indicator 7: Deaths Due to Alcohol and Drug Use Table 7.1 Deaths Due to Alcohol and Drug Related Causes (Combined) and Age Adjusted Rate per 100,000 with Comparison to Statewide Rates Figure 7.1 Plumas County Mortality Age Adjusted Rate per 100,000 Total Population with Comparison to Statewide Rates Table 7.2 Deaths Due to Alcohol and Drug Related Causes (Combined) by Gender of Decedent, Rate per 100,000 Total Population, and Percent of Total AOD Related Deaths Figure 7.2 Plumas County AOD Related Mortality Rate per 100,000 Population by Decedent Gender Table 7.3 Deaths Due to Alcohol Related Causes and Rate per 100,000 Total Population, with Comparison to Statewide Rates Figure 7.3 Plumas County Alcohol Related Mortality Rate per 100,000 Population with Comparison to Statewide Rates Table 7.4 Deaths Due to Drug Related Causes and Rate per 100,000 Total Population, with Comparison to Statewide Rates Figure 7.4 Plumas County Drug Related Mortality Rate per 100,000 Population with Comparison to Statewide Rates Table 7.5 Deaths Due to Alcohol Related Causes by Specific Cause, and Rate per 100,000 Total Population Table 7.6 Deaths Due to Drug Related Causes by Specific Cause, and Rate per 100,000 Total Population Table 7.7 Deaths Due to Alcohol and Drug Related Causes (Combined) by Race/Ethnicity of Decedent, Rate per 100,000 Total Population, and Percent of Total AOD Related Deaths Figure 7.5 Plumas County AOD Related Mortality Rate per 100,000 Population by Decedent Race/Ethnicity Table 7.8 Deaths Due to Alcohol and Drug Related Causes (Combined) by Age Category of Decedent, Rate per 100,000 Total Population, and Percent of Total AOD Related Deaths Figure 7.6 Plumas County AOD Related Mortality Rate per 100,000 Population by Decedent Age Category Sources Indicators of Alcohol and Other Drug Abuse Table of Contents Plumas County, California

10 INTRODUCTION In the mid 1990s, the California Department of Alcohol and Drug Programs, in collaboration with the Center for Applied Research Solutions (CARS), Inc. began to work toward improving the state s prevention information system. A key component of this information system was the continuous collection, monitoring and reporting of selected community level indicators that would serve as direct and indirect measures of alcohol and other drug use prevalence and related problems. This information system was designed to assist with state and local prevention planning and policy making by providing useful, systematic data about prevention and treatment needs and outcomes throughout the state. The present report is the most recent product of this ongoing effort. It differs from earlier versions in a few important ways. First, while previous reports typically summarized data for more than twenty five indicators of health and social conditions that are theoretically linked to problem substance use, the current version is more streamlined, focusing on seven key indicators of AOD use and abuse prevalence and their direct consequences, including impacts on the criminal justice, health and alcohol and drug treatment systems. Second, the 2010 report updates information contained in earlier versions, but expands in its depth to summarize data for populations within the larger county, including age, gender, and race/ethnicity subgroups. This expanded detail allows for more precise analyses of alcohol and drug use problems within a county population and enhances the ability to effectively target prevention and intervention strategies to community needs. Similar to previous reports, the 2010 version includes simple analytic tools to help users interpret the information presented. This includes use of population based rates (e.g., the number of incidents relative to the total population) to make meaningful comparisons between geographic areas that differ in population size, or comparisons between differing time points. Data is presented at both the county and state level to allow county rates to be evaluated against a relative average. The overall intent of the report is to provide a simple, easy to use resource that helps synthesize the most relevant indicator data currently available to assess substance use problems, in an effort to optimize prevention planning and outcome measurement efforts in communities through the state. Specifically, it is designed to support the work of planners, policy makers, and practitioners in the field in: Determining the incidence of alcohol and other drug use problems within county populations and subpopulations; Monitoring trends in problem incidence to identify emergent issues and detect changes in status over time; Establishing program resource levels that are appropriate to address the nature and extent of prevention and treatment needs; and, Documenting progress toward achieving targeted prevention objectives and outcomes. The report contains information on several key indicators of alcohol and drug prevalence and consequences for California populations in each of the following seven indicators: 1. Household prevalence of past year binge drinking; 2. Admissions to publicly funded and/or monitored alcohol and other drug treatment facilities; 3. Arrests for drug related criminal offenses; 4. Arrests for alcohol related criminal offenses; 5. Motor vehicle accidents involving drivers who had been drinking; 6. Hospitalizations for alcohol and drug related conditions; and, 7. Mortality attributable to acute and chronic alcohol and drug use. Indicators of Alcohol and Other Drug Abuse Introduction Plumas County, California 1

11 Each report contains data compiled from several sources, including a statewide, longitudinal survey of California household populations, and state data systems housing public archival records from six central agencies, including the California Department of Justice (DOJ), the California Highway Patrol (CHP), the California Department of Public Health, Vital Statistics Section, the Office of Statewide Health Planning and Development (OSHPD), the Department of Alcohol and Drug Programs (ADP), and the University of California, Los Angeles (UCLA). This reliance on statewide data sources ensures that the information reported is drawn from reliable and valid measures that are routinely and uniformly collected across jurisdictions (i.e., all counties use the same data collection), allowing for comparisons over time, across counties, and between counties and the state. Indicators of Alcohol and Other Drug Abuse Introduction Plumas County, California 2

12 KEY FINDINGS Indicator 1: Prevalence of Past Year Binge Drinking Approximately 25 percent of Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra County residents age 18 and older participated in binge drinking in 2007 compared to the statewide rate of 30 percent. Males in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties participated in binge drinking less frequently compared to those in the state (38 percent versus 26 percent) in Females participated at higher levels in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties compared to the state (24 percent versus 21 percent). Indicator 2: Admissions to Alcohol and Other Drug Treatment Overall, admission rates to treatment facilities in Del Norte, Modoc, Plumas, and Sierra Counties have decreased since 2000, after peaking in 2005 at 1,075 per 100,000. In 2000 there were about 582 admissions per 100,000 compared to 535 admissions per 100,000 in Del Norte, Modoc, Plumas, and Sierra Counties AOD admission rate was higher than the state except in 2000 and There may be differences in detoxification and non detoxification service admission trends that affect this overall trend (see Treatment Data Clarifications section on page 9 for detail). Admissions due to methamphetamine use accounted for 29 percent of all admissions in Admissions due to alcohol use accounted for roughly 34 percent of admissions, marijuana for 28 percent of admissions, heroin for 3 percent of admissions, and other drugs for 6 percent in The highest rate of admissions was for 25 to 34 year olds with a rate of 1,530 per 100,000 in The next highest rate was for 18 to 24 year olds with a rate of 1,452 per 100, to 44 year olds also had a high drug arrest rate at 767 per 100,000 in Indicator 3: Arrests for Drug Related Crime Crime rates for felony and misdemeanor drug offenses increased from 554 per 100,000 in 2000 to 1,055 per 100,000 in Plumas County s drug arrest rate was higher than the state each year starting in Arrests due to dangerous drug offenses accounted for approximately 29 percent in 2008, narcotics for roughly 10 percent of drug arrests, marijuana for 37 percent of drug arrests, and 25 percent of drug arrests in 2008 were for other drug violations. Drug arrest rates were highest among Blacks at 5,217 per 100,000 in These rates were much higher than each other race/ethnicity group each year. The highest rate of arrests for drug related crime was for 25 to 34 year olds with a rate of 2,263 per 100,000 in The next highest rate was for 18 to 24 year olds with a rate of 2,180 per 100, to 44 year olds also had a high drug arrest rate at 2,093 per 100,000 in Indicators of Alcohol and Other Drug Abuse Key Findings Plumas County, California 3

13 Indicator 4: Arrests for Alcohol Related Crime Crime rates for felony and misdemeanor alcohol offenses decreased from 4,155 per 100,000 in 2000 to 3,025 per 100,000 in Plumas County s alcohol arrest rate was significantly higher than the state overall each year. Arrests due to driving under the influence accounted for approximately 59 percent in 2008, public drunkenness for roughly 28 percent of alcohol arrests, and 13 percent of alcohol arrests in 2008 were for liquor law violations. Alcohol arrest rates were highest among Blacks at 13,913 per 100,000 in These rates were significantly higher than each other race/ethnicity group each year. The highest rate of arrests for alcohol related crime was for 18 to 24 year olds with a rate of 5,259 per 100,000 in The next highest rate was for 25 to 34 year olds with a rate of 5,041 per 100,000. Indicator 5: Alcohol Involved Motor Vehicle Accidents The rate of fatalities in alcohol involved accidents in Plumas County was higher than the state overall each year, except in 2008 when no alcohol involved fatalities were recorded. Males accounted for more than half of total parties who had been drinking in alcohol involved accidents each year. 25 to 34 year olds (412 per 100,000) accounted for the highest rate of parties who had been drinking in alcohol involved accidents in The next highest rate was for 18 to 24 year olds with a rate of 342 per 100,000. Indicator 6: Hospitalizations Due to Alcohol and Drug Use The rate of hospitalizations due to alcohol and drug use decreased from 218 per 100,000 in 2000 to 196 per 100,000 in 2007, after peaking in 2003 at 259 per 100,000. Del Norte, Modoc, Plumas, and Sierra Counties AOD hospitalization rate was higher than the state except in 2000, 2001, 2002, and The rate of hospitalizations due to alcohol related causes decreased from 79 per 100,000 in 2000 to 62 per 100,000 in 2007, after peaking in 2003 at 96 per 100,000. Del Norte, Modoc, Plumas, and Sierra Counties alcohol related hospitalization rate was lower than the state, except in The rate of hospitalizations due to drug related causes decreased slightly from 139 per 100,000 in 2000 to 134 per 100,000 in 2007, after peaking in 2004 at 172 per 100,000. Del Norte, Modoc, Plumas, and Sierra Counties drug related hospitalization rate was higher than the state overall each year. Indicator 7: Deaths Due to Alcohol and Drug Use The death rate due to alcohol and drug use increased between 2000 and 2007 from deaths per 100,000 to deaths per 100,000. Plumas County s AOD mortality rate was lower than the state overall each year, except in 2003, 2005, and The death rate due to alcohol use doubled between 2000 and 2007 from 9.58 per 100,000 to per 100,000. The rates were significantly higher in 2003 and 2005, nearly tripling the state rate. The death rate due to drug use nearly tripled between 2000 and 2007 from 9.58 per 100,000 to per 100,000, higher than the statewide rates, except in 2001 and Indicators of Alcohol and Other Drug Abuse Key Findings Plumas County, California 4

14 Key Indicators of Community Alcohol and Drug Use Plumas County y Indicators of Alcohol and Other Drug Abuse Summary of Indicators Plumas County, California 5 Data not available for reporting year. INDICATOR 1: Past Year Binge Drinking Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties County Percentage of Total Respondents 25.1 State Percentage of Total Respondents 29.7 County Ranking (of 44 Counties) 43 INDICATOR 2: Admissions to Alcohol and Other Drug Treatment Del Norte, Modoc, Plumas, and Sierra Counties County Rate per 100,000 Total Population , State Rate per 100,000 Population 10 to 69 Years County Ranking (of 49 Counties) INDICATOR 3: Arrests for Drug Related Offenses Three Year Average County Rate per 100,000 Population 10 to 69 Years , , , , , , , State Rate per 100,000 Population 10 to 69 Years , , , County Ranking (of 58 Counties) INDICATOR 4: Arrests for Alcohol Related Offenses County Rate per 100,000 Population 10 to 69 Years 4, , , , , , , , , , State Rate per 100,000 Population 10 to 69 Years 1, , , , , , , , , , County Ranking (of 58 Counties) INDICATOR 5: Alcohol Involved Motor Vehicle Accident Fatalities County Rate per 100,000 Total Population State Rate per 100,000 Total Population County Ranking (of 58 Counties) INDICATOR 6: Alcohol and Drug Use Hospitalizations Del Norte, Modoc, Plumas, and Sierra Counties County Rate per 100,000 Total Population State Rate per 100,000 Total Population County Ranking (of 50 Counties) INDICATOR 7: Deaths Due to Alcohol and Drug Use County Rate per 100,000 Total Population State Rate per 100,000 Total Population County Ranking (of 58 Counties)

15 Indicator 1: Prevalence of Past Year Binge Drinking The estimated number and percent of persons 18 years and older who reported any binge drinking in the past year. Table/Figure 1.1 Estimated Number and Percent of Persons 18 Years and Older Reporting Any Binge Drinking in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties in the Past Year with Comparison to Statewide Rates 35% County California 2007 Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties State of California 30% 25% 20% Estimated Number * 28,000 7,973,000 15% Estimated Population 18 and over 113,000 26,874,000 10% Percent of Total Population 25.1% 29.7% 5% 0% * Estimates rounded to the nearest thousand. Table/Figure 1.2 Estimated Number of Persons 18 Years and Older Reporting Any Binge Drinking in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties in the Past Year by Gender 2007 Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties State of California Male Estimated Number * 14,000 5,039,000 45% 40% 35% 30% County California Estimated Population 54,000 13,179,000 25% Percent of Population 26.4% 38.2% 20% 15% Female Estimated Number * 14,000 2,934,000 10% Estimated Population 58,000 13,694,000 5% Percent of Population 23.9% 21.4% 0% Male Female * Estimates rounded to the nearest thousand. Indicators of Alcohol and Other Drug Abuse Prevalence of Binge Drinking Plumas County, California 6

16 Indicator 1: Prevalence of Past Year Binge Drinking (Continued) Table 1.3 Estimated Number of Persons 18 Years and Older Reporting Any Binge Drinking in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties in the Past Year by Race/Ethnicity 2007 Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties State of California American Indian Estimated Number * 2,000 55,000 Estimated Population 3, ,000 Percent of Population 65.1% 32.5% Asian/Pacific Islander Estimated Number * 1, ,000 Estimated Population 1,000 3,507,000 Percent of Population 95.8% 18.5% Black Estimated Number * 301,000 Estimated Population 1,531,000 Percent of Population 19.6% Hispanic Estimated Number * 2,000 2,745,000 Estimated Population 10,000 8,469,000 Percent of Population 21.4% 32.4% White Estimated Number * 22,000 4,093,000 Estimated Population 96,000 12,797,000 Percent of Population 23.4% 32.0% Other Estimated Number * 1, ,000 Estimated Population 3, ,000 Percent of Population 32.8% 32.3% * Estimates rounded to the nearest thousand. Estimate not reported due to small sample size. 100% County California Figure 1.3 Past Year Binge Drinking in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties by Race/Ethnicity 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% American Indian Asian/Pacific Islander Black Hispanic White Other Indicators of Alcohol and Other Drug Abuse Prevalence of Binge Drinking Plumas County, California 7

17 Indicator 1: Prevalence of Past Year Binge Drinking (Continued) Table 1.4 Estimated Number of Persons 18 Years and Older Reporting Any Binge Drinking in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties in the Past Year by Age Category 2007 Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties State of California 18 to 24 Estimated Number * 4,000 1,620,000 Estimated Population 16,000 3,703,000 Percent of Population 22.5% 43.8% 25 to 34 Estimated Number * 6,000 2,147,000 Estimated Population 15,000 4,733,000 Percent of Population 42.0% 45.4% 35 to 44 Estimated Number * 7,000 1,795,000 Estimated Population 17,000 5,593,000 Percent of Population 40.0% 32.1% 45 to 54 Estimated Number * 5,000 1,390,000 Estimated Population 19,000 5,219,000 Percent of Population 27.2% 26.6% 55 to 64 Estimated Number * 5, ,000 Estimated Population 22,000 3,724,000 Percent of Population 21.7% 18.8% 65 and Over Estimated Number * 2, ,000 Estimated Population 25,000 3,901,000 Percent of Population 8.2% 8.2% * Estimates rounded to the nearest thousand. Figure 1.4 Past Year Binge Drinking in Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas, and Sierra Counties by Age Category 50% 45% 40% 35% 30% 25% 20% 15% 10% 5% County California 0% 18 to to to to to Indicators of Alcohol and Other Drug Abuse Prevalence of Binge Drinking Plumas County, California 8

18 Indicator 2: Admissions to Alcohol and Other Drug Treatment The number of admissions to publicly funded alcohol and other drug treatment facilities in California and rate of admission per 100,000 total population. Treatment Data Clarifications Findings for Indicator 2: Admissions to Alcohol and Other Drug Treatment are based on total admissions rather than unique client counts. Clients with multiple treatment admissions during the year tend to bias the demographic and service characteristics described. These findings include admissions for both detoxification and other treatment services. Detoxification services are short term, often repeated numerous times, and used primarily for alcohol or heroin treatment. The inclusion of admissions to detoxification services biases the demographic and service characteristics described. The Substance Abuse Crime Prevention Act (SACPA) was implemented in July Clients referred by the criminal justice system compete for limited treatment services resources and are often given priority over clients referred by other sources. In 2000, criminal justice referrals made up only 26 percent of all admissions. By 2004, criminal justice referrals made up 42% of the admissions. The influx of these clients with their specific demographic and service characteristics impact the makeup of the treatment population described in the key findings. For instance, clients referred by the criminal justice system rarely use detoxification services, and more often have a primary drug other than alcohol. Also, SACPA referred clients do not frequently use narcotic replacement treatment for heroin/opiate abuse. Consequently, the number of admissions to detoxification services has decreased as well as the number of admissions with alcohol or heroin as their primary drug problem compared with pre SACPA levels. Table 2.1 Number of Admissions to Alcohol and Other Drug Treatment in Del Norte, Modoc, Plumas, and Sierra Counties and Rate per 100,000 Total Population with Comparison to Statewide Rates Number of Treatment Admissions Total Population 61,877 62,131 62,641 63,281 64,534 64,846 65,222 65,687 66,184 Rate per 100, , CALIFORNIA Rate per 100, Figure 2.1 Del Norte, Modoc, Plumas, and Sierra Counties Treatment Admission Rate per 100,000 Total Population with Comparison to Statewide Rates 1,200 1,100 1, County California Indicators of Alcohol and Other Drug Abuse Alcohol and Drug Treatment Plumas County, California 9

19 Indicator 2: Admissions to Alcohol and Other Drug Treatment (Continued) Table/Figure 2.2 Admissions to Alcohol and Other Drug Treatment in Del Norte, Modoc, Plumas, and Sierra Counties by Client Gender, Rate per 100,000 Population, and Percent of Total Admissions TOTAL ADMISSIONS Male Population 32,438 32,567 32,819 33,135 33,766 33,909 34,089 34,312 34,550 Rate per 100, , , Percent of Total 58.3% 57.9% 61.1% 60.1% 51.4% 54.1% 58.7% 57.6% 58.5% Female Population 29,439 29,564 29,822 30,146 30,768 30,937 31,133 31,375 31,634 Rate per 100, , Percent of Total 41.7% 42.1% 38.9% 39.9% 48.6% 45.9% 41.3% 42.4% 41.5% Figure 2.2 Del Norte, Modoc, Plumas, and Sierra Counties Treatment Admission Rate per 100,000 Population by Client Gender 1,200 1, Male Female Indicators of Alcohol and Other Drug Abuse Alcohol and Drug Treatment Plumas County, California 10

20 Indicator 2: Admissions to Alcohol and Other Drug Treatment (Continued) Table 2.3 Treatment Admissions in Del Norte, Modoc, Plumas, and Sierra Counties by Primary Drug Type, Percent of Total Admissions, and Rate per 100,000 Population TOTAL ADMISSIONS Methamphetamines Percent of Total 29.2% 25.3% 26.9% 31.3% 36.8% 41.2% 28.7% 33.3% 29.1% Rate per 100, Alcohol Percent of Total 51.1% 53.0% 46.8% 42.5% 35.5% 29.1% 42.4% 38.0% 34.2% Rate per 100, Marijuana Percent of Total 11.7% 14.2% 20.0% 20.3% 20.9% 22.0% 21.8% 21.9% 27.7% Rate per 100, Heroin Percent of Total 2.5% 1.8% 2.2% 2.0% 1.3% 2.3% 1.5% 1.3% 3.1% Rate per 100, Crack/Cocaine Percent of Total 1.1% 2.0% 0.8% 0.3% 1.0% 1.9% 0.9% 0.4% 0.0% Rate per 100, Other Drugs Percent of Total 4.4% 3.6% 3.4% 3.6% 4.7% 3.6% 4.8% 5.1% 5.9% Rate per 100, Figure 2.3 Del Norte, Modoc, Plumas, and Sierra Counties Treatment Admission Rate per 100,000 Population by Primary Drug Type Meth Alcohol Marijuana Heroin Crack/Cocaine Other Drugs Indicators of Alcohol and Other Drug Abuse Alcohol and Drug Treatment Plumas County, California 11

21 Indicator 2: Admissions to Alcohol and Other Drug Treatment (Continued) Table 2.4 Admissions to Alcohol and Other Drug Treatment in Del Norte, Modoc, Plumas, and Sierra Counties by Client Race/Ethnicity, Rate per 100,000 Population, and Percent of Total Admissions TOTAL ADMISSIONS American Indian Population 2,519 2,533 2,578 2,632 2,764 2,782 2,824 2,866 2,911 Rate per 100,000 1, , , , , , , Percent of Total 8.6% 6.5% 7.3% 7.1% 7.4% 6.7% 5.5% 5.5% 5.6% Asian/Pacific Islander Population Rate per 100, Percent of Total 1.4% 1.0% 0.6% 0.8% 0.5% 1.1% 0.9% 1.1% 0.0% Black Population 1,412 1,414 1,419 1,423 1,469 1,472 1,472 1,471 1,471 Rate per 100, , , Percent of Total 2.2% 1.6% 1.8% 1.0% 3.5% 3.0% 1.6% 0.6% 0.8% Hispanic Population 6,379 6,447 6,585 6,740 6,962 7,065 7,236 7,387 7,543 Rate per 100, Percent of Total 6.1% 6.1% 5.1% 8.3% 7.9% 8.8% 9.1% 10.8% 9.9% White Population 49,103 49,266 49,579 50,001 50,798 50,902 51,020 51,248 51,496 Rate per 100, , Percent of Total 81.7% 84.2% 84.8% 82.6% 80.3% 79.9% 80.1% 80.2% 79.9% Other Percent of Total 0.0% 0.6% 0.4% 0.2% 0.5% 0.4% 2.7% 1.9% 3.7% Figure 2.4 Del Norte, Modoc, Plumas, and Sierra Counties Treatment Admission Rate per 100,000 Population by Client Race/ Ethnicity 2,000 1,500 1, American Indian Asian/Pacific Islander Black Hispanic White Indicators of Alcohol and Other Drug Abuse Alcohol and Drug Treatment Plumas County, California 12

22 Indicator 2: Admissions to Alcohol and Other Drug Treatment (Continued) Table 2.5 Admissions to Alcohol and Other Drug Treatment in Del Norte, Modoc, Plumas, and Sierra Counties by Client Age Category, Rate per 100,000 Population, and Percent of Total Admissions TOTAL ADMISSIONS Years and Under Population 14,901 14,459 14,055 13,760 13,698 13,357 13,173 12,999 14,901 Rate per 100, Percent of Total 17.5% 16.2% 13.0% 14.7% 13.0% 10.5% 15.0% 13.5% 13.8% 18 to 24 Years Population 4,338 4,914 5,556 6,200 6,847 7,295 7,651 7,858 4,338 Rate per 100,000 1, , , , , , , , , Percent of Total 18.6% 22.3% 25.1% 27.2% 27.1% 22.7% 25.4% 19.2% 17.8% 25 to 34 Years Population 6,799 6,622 6,553 6,481 6,524 6,532 6,627 6,968 6,799 Rate per 100,000 1, , , , , , , , , Percent of Total 23.6% 25.9% 24.5% 28.4% 22.2% 24.5% 20.7% 25.1% 29.4% 35 to 44 Years Population 9,777 9,485 9,163 8,885 8,766 8,455 8,114 7,761 9,777 Rate per 100,000 1, , , , , , , , Percent of Total 27.8% 22.5% 21.5% 18.6% 23.0% 28.1% 21.0% 25.3% 21.2% 45 to 54 Years Population 9,642 9,861 9,947 10,079 10,280 10,317 10,306 10,261 9,642 Rate per 100, Percent of Total 10.3% 10.3% 13.0% 9.0% 12.2% 10.9% 15.2% 13.5% 13.6% 55 to 64 Years Population 6,857 7,086 7,463 7,791 8,100 8,329 8,612 8,915 6,857 Rate per 100, Percent of Total 1.7% 2.4% 2.2% 1.9% 2.6% 3.0% 2.7% 3.0% 4.0% 65 Years and Older Population 9,563 9,704 9,904 10,085 10,319 10,561 10,739 10,925 9,563 Rate per 100, Percent of Total 0.6% 0.4% 0.6% 0.2% 0.0% 0.3% 0.0% 0.4% 0.3% Figure 2.5 Del Norte, Modoc, Plumas, and Sierra Counties Treatment Admission Rate per 100,000 Population by Client Age Category 3,000 2,500 2,000 1,500 1, to to to to to to Indicators of Alcohol and Other Drug Abuse Alcohol and Drug Treatment Plumas County, California 13

23 Indicator 2: Admissions to Alcohol and Other Drug Treatment (Continued) Table 2.6 Characteristics of Clients Admitted to Alcohol and Other Drug Treatment in Del Norte, Modoc, Plumas, and Sierra Counties and Rate per 100,000 Population TOTAL COUNTY ADMISSIONS Age Initiated Substance Use Under Age Rate Per 100, Age 11 to Rate Per 100, Age 13 to Rate Per 100, Age 15 to Rate Per 100, Age 18 to Rate Per 100, Age 21 and Older Rate Per 100, IV Drug Users Number Rate Per 100, Pregnant Number Female Population 29,439 29,564 29,822 30,146 30,768 30,937 31,133 31,375 31,634 Rate Per 100, Figure 2.6 Del Norte, Modoc, Plumas, and Sierra Counties Age of Substance Use Initiation Rate per 100,000 Population Under Age 10 Age 11 to 12 Age 13 to 14 Age 15 to 17 Age 18 to 20 Age 21 and Older Indicators of Alcohol and Other Drug Abuse Alcohol and Drug Treatment Plumas County, California 14

24 Indicator 2: Admissions to Alcohol and Other Drug Treatment (Continued) Table 2.7 AOD Treatment Admissions in Del Norte, Modoc, Plumas, and Sierra Counties by Primary Drug Type, Percent of Total Admissions, and Rate per 100,000 Population 0 to 17 Years TOTAL ADMISSIONS UNDER AGE Methamphetamines Population 0 to 17 14,901 14,459 14,055 13,760 13,698 13,357 13,173 12,999 14,901 Percent of Total 4.8% 5.0% 4.5% 2.3% 12.3% 16.4% 1.2% 0.0% 4.1% Rate per 100, Alcohol Population 0 to 17 14,901 14,459 14,055 13,760 13,698 13,357 13,173 12,999 14,901 Percent of Total 68.3% 63.8% 50.0% 55.2% 28.4% 31.5% 47.6% 48.4% 28.6% Rate per 100, Marijuana Population 0 to 17 14,901 14,459 14,055 13,760 13,698 13,357 13,173 12,999 14,901 Percent of Total 25.4% 31.3% 43.9% 41.4% 58.0% 49.3% 51.2% 50.0% 67.3% Rate per 100, Heroin Population 0 to 17 14,901 14,459 14,055 13,760 13,698 13,357 13,173 12,999 14,901 Percent of Total 1.6% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% Rate per 100, Crack/Cocaine Population 0 to 17 14,901 14,459 14,055 13,760 13,698 13,357 13,173 12,999 14,901 Percent of Total 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% Rate per 100, Other Drugs Population 0 to 17 14,901 14,459 14,055 13,760 13,698 13,357 13,173 12,999 14,901 Percent of Total 0.0% 0.0% 1.5% 1.1% 1.2% 2.7% 0.0% 1.6% 0.0% Rate per 100, Figure 2.7 Del Norte, Modoc, Plumas, and Sierra Counties Underage Treatment Admission Rate per 100,000 Population 0 to 17 by Primary Drug Type Meth Alcohol Marijuana Heroin Crack/Cocaine Other Drugs Indicators of Alcohol and Other Drug Abuse Alcohol and Drug Treatment Plumas County, California 15

25 Indicator 2: Admissions to Alcohol and Other Drug Treatment (Continued) Table 2.8 AOD Treatment Admissions among Youth Under Age 18 in Del Norte, Modoc, Plumas, and Sierra Counties by Client Gender and Race/Ethnicity, Rate per 100,000 Population 0 to 17 Years, and Percent of Total Admissions TOTAL ADMISSIONS UNDER AGE Male Population 0 to 17 5,296 5,123 4,981 4,874 4,880 4,734 4,684 4,636 4,598 Rate per 100, , , , , Percent of Total 68.3% 63.8% 78.8% 70.1% 61.7% 47.9% 72.0% 64.1% 63.3% Female Population 0 to 17 4,905 4,738 4,622 4,515 4,550 4,450 4,429 4,395 4,389 Rate per 100, Percent of Total 31.7% 36.3% 21.2% 29.9% 38.3% 52.1% 28.0% 35.9% 36.7% American Indian Population 0 to Rate per 100, , , , , Percent of Total 9.5% 3.8% 4.5% 12.6% 11.1% 12.3% 11.0% 1.6% 4.1% Asian/Pacific Islander Population 0 to Rate per 100, Percent of Total 1.6% 3.8% 0.0% 0.0% 1.2% 0.0% 0.0% 1.6% 0.0% Black Population 0 to Rate per 100,000 5, , , , , , Percent of Total 4.8% 1.3% 4.5% 1.1% 2.5% 1.4% 0.0% 0.0% 0.0% Hispanic Population 0 to 17 1,601 1,554 1,529 1,506 1,487 1,447 1,468 1,482 1,502 Rate per 100, Percent of Total 9.5% 6.3% 13.6% 12.6% 16.0% 8.2% 12.2% 17.2% 24.5% White Population 0 to 17 6,984 6,756 6,560 6,427 6,463 6,282 6,224 6,157 6,108 Rate per 100, , Percent of Total 74.6% 85.0% 75.8% 72.4% 67.9% 76.7% 73.2% 76.6% 67.3% Other Percent of Total 0.0% 0.0% 1.5% 1.1% 1.2% 1.4% 3.7% 3.1% 4.1% Indicators of Alcohol and Other Drug Abuse Alcohol and Drug Treatment Plumas County, California 16

26 Indicator 3: Arrests for Drug Related Crime The number of felony and misdemeanor arrests for drug crimes, including dangerous drugs, narcotics, marijuana, and other drug violations and rate per 100,000 population 10 to 69 years. Table 3.1 Number of Arrests for Felony and Misdemeanor Drug Offenses and Rate per 100,000 Population 10 to 69 Years with Comparison to Statewide Rates Number of Drug Related Arrests Population 10 to 69 16,055 16,237 16,364 16,487 16,650 16,724 16,659 16,631 16,593 Rate per 100, , , , , , , CALIFORNIA Rate per 100, , , , Figure 3.1 Plumas County Drug Arrest Rate per 100,000 Population 10 to 69 with Comparison to Statewide Rates 1,750 1,550 1,350 1, County California Table 3.2 Number of Arrests for Felony and Misdemeanor Drug Offenses by Offender Gender, Rate per 100,000 Population 10 to 69 Years, and Percent of Total Drug Arrests TOTAL ARRESTS Male Population 10 to 69 8,081 8,164 8,231 8,288 8,360 8,385 8,356 8,342 8,313 Rate per 100, , , , , , , , Percent of Total 75.3% 71.2% 76.3% 72.4% 69.6% 70.6% 71.0% 71.1% 70.9% Female Population 10 to 69 7,974 8,073 8,133 8,199 8,290 8,339 8,303 8,289 8,280 Rate per 100, Percent of Total 24.7% 28.8% 23.8% 27.6% 30.4% 29.4% 29.0% 28.9% 29.1% Figure 3.2 Plumas County Drug Arrest Rate per 100,000 Population 10 to 69 by Offender Gender 2,500 2,000 1,500 1, Male Female Indicators of Alcohol and Other Drug Abuse Drug Related Crime Plumas County, California 17

27 Indicator 3: Arrests for Drug Related Crime (Continued) Table 3.3 Number of Arrests for Felony and Misdemeanor Drug Offenses by Specific Offense, Rate per 100,000 Population 10 to 69 Years, and Percent of Total Drug Arrests TOTAL ARRESTS Dangerous Drugs Population 10 to 69 16,055 16,237 16,364 16,487 16,650 16,724 16,659 16,631 16,593 Rate per 100, Percent of Total 33.7% 36.0% 28.1% 38.5% 35.6% 34.9% 29.0% 31.6% 28.6% Narcotics Population 10 to 69 16,055 16,237 16,364 16,487 16,650 16,724 16,659 16,631 16,593 Rate per 100, Percent of Total 1.1% 1.8% 1.9% 3.4% 6.3% 3.7% 8.1% 7.6% 10.3% Marijuana Population 10 to 69 16,055 16,237 16,364 16,487 16,650 16,724 16,659 16,631 16,593 Rate per 100, Percent of Total 52.8% 45.9% 59.4% 47.1% 41.4% 38.3% 39.5% 29.8% 36.6% Other Drug Violations Population 10 to 69 16,055 16,237 16,364 16,487 16,650 16,724 16,659 16,631 16,593 Rate per 100, Percent of Total 12.4% 16.2% 10.6% 10.9% 16.8% 23.0% 23.3% 31.1% 24.6% 700 Figure 3.3 Plumas County Drug Arrest Rate per 100,000 Population 10 to 69 by Specific Offense Dangerous Drugs Narcotics Marijuana Other Indicators of Alcohol and Other Drug Abuse Drug Related Crime Plumas County, California 18

28 Indicator 3: Arrests for Drug Related Crime (Continued) Table 3.4 Number of Arrests for Felony and Misdemeanor Drug Offenses by Offender Race/Ethnicity, Rate per 100,000 Population 10 to 69 Years, and Percent of Total Drug Arrests TOTAL ARRESTS American Indian Population 10 to Rate per 100, , , , , , Percent of Total 1.1% 3.6% 1.9% 2.9% 1.6% 4.1% 1.4% 3.6% 4.0% Asian/Pacific Islander Population 10 to Rate per 100,000 1, , , , Percent of Total 2.2% 0.0% 0.0% 1.7% 0.0% 0.7% 0.5% 0.9% 0.0% Black Population 10 to Rate per 100,000 2, , , , , , , , , Percent of Total 2.2% 3.6% 1.9% 2.9% 3.7% 2.2% 3.8% 1.8% 3.4% Hispanic Population 10 to ,013 1,036 1,058 1,068 1,079 Rate per 100, , , , , , Percent of Total 3.4% 5.4% 6.3% 7.5% 1.6% 4.1% 2.4% 6.7% 6.3% White Population 10 to 69 14,254 14,398 14,481 14,565 14,690 14,731 14,635 14,583 14,520 Rate per 100, , , , , , , Percent of Total 89.9% 87.4% 89.4% 84.5% 93.2% 87.7% 91.0% 87.1% 83.4% Other Percent of Total 1.1% 0.0% 0.6% 0.6% 0.0% 1.1% 1.0% 0.0% 2.9% Figure 3.4 Plumas County Drug Arrest Rate per 100,000 Population 10 to 69 by Offender Race/ Ethnicity 8,000 7,000 6,000 5,000 4,000 3,000 2,000 1,000 0 American Indian Asian/Pacific Islander Black Hispanic White Indicators of Alcohol and Other Drug Abuse Drug Related Crime Plumas County, California 19

29 Indicator 3: Arrests for Drug Related Crime (Continued) Table 3.5 Number of Arrests for Felony and Misdemeanor Drug Offenses by Offender Age Category, Rate per 100,000 Population, and Percent of Total Drug Arrests TOTAL ARRESTS Years and Under Population 10 to 17 2,545 2,541 2,482 2,416 2,368 2,310 2,220 2,110 2,002 Rate per 100, , , Percent of Total 12.4% 14.4% 18.1% 5.2% 8.4% 10.8% 7.1% 5.8% 2.3% 18 to 24 Years Population 1,305 1,501 1,698 1,895 2,070 2,183 2,274 2,343 2,339 Rate per 100,000 1, , , , , , , , , Percent of Total 27.0% 33.3% 29.4% 33.3% 36.1% 26.4% 28.1% 24.0% 29.1% 25 to 34 Years Population 1,653 1,603 1,582 1,557 1,566 1,608 1,657 1,770 1,944 Rate per 100,000 1, , , , , , , , , Percent of Total 20.2% 25.2% 23.8% 27.0% 26.2% 32.3% 27.6% 25.8% 25.1% 35 to 44 Years Population 2,996 2,869 2,700 2,565 2,471 2,373 2,234 2,127 2,007 Rate per 100, , , , , , , Percent of Total 27.0% 15.3% 16.3% 24.1% 14.7% 15.6% 16.2% 23.6% 24.0% 45 to 54 Years Population 3,620 3,698 3,724 3,730 3,730 3,694 3,631 3,521 3,432 Rate per 100, , Percent of Total 12.4% 9.9% 11.3% 6.9% 12.6% 12.3% 16.2% 16.9% 14.9% 55 to 64 Years Population 2,837 2,907 3,018 3,123 3,197 3,259 3,319 3,433 3,520 Rate per 100, Percent of Total 1.1% 1.8% 1.3% 3.4% 2.1% 2.6% 4.8% 3.1% 4.6% 65 Years and Older Population 65 to 69 1,099 1,118 1,160 1,201 1,248 1,297 1,324 1,327 1,349 Rate per 100, Percent of Total 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.9% 0.0% Figure 3.5 Plumas County Drug Arrest Rate per 100,000 Population by Offender Age Category 6,000 5,000 4,000 3,000 2,000 1, to to to to to to Indicators of Alcohol and Other Drug Abuse Drug Related Crime Plumas County, California 20

30 Indicator 3: Arrests for Drug Related Crime (Continued) Table 3.6 Number of Arrests for Felony and Misdemeanor Drug Offenses by Gender and Race/Ethnicity among Underage Offenders, Rate per 100,000 Population 10 to 17 Years, and Percent of Total Drug Arrests ALL DRUG ARRESTS UNDER AGE Male Population 10 to 17 1,327 1,317 1,290 1,238 1,201 1,163 1,127 1,076 1,000 Rate per 100, , , , Percent of Total 90.9% 81.3% 69.0% 77.8% 56.3% 69.0% 93.3% 76.9% 100.0% Female Population 10 to 17 1,218 1,224 1,192 1,178 1,167 1,147 1,093 1,034 1,002 Rate per 100, Percent of Total 9.1% 18.8% 31.0% 22.2% 43.8% 31.0% 6.7% 23.1% 0.0% American Indian Population 10 to Rate per 100, , , , , , Percent of Total 0.0% 6.3% 3.4% 22.2% 0.0% 3.4% 0.0% 7.7% 0.0% Asian/Pacific Islander Population 10 to Rate per 100, Percent of Total 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% Black Population 10 to Rate per 100, , Percent of Total 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 7.7% 0.0% Hispanic Population 10 to Rate per 100, Percent of Total 0.0% 6.3% 3.4% 0.0% 0.0% 3.4% 0.0% 0.0% 0.0% White Population 10 to 17 2,120 2,118 2,058 2,001 1,951 1,896 1,814 1,727 1,632 Rate per 100, , , Percent of Total 100.0% 87.5% 93.1% 77.8% 100.0% 93.1% 100.0% 84.6% 100.0% Other Percent of Total 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% Indicators of Alcohol and Other Drug Abuse Drug Related Crime Plumas County, California 21

31 Indicator 4: Arrests for Alcohol Related Crime The number of felony and misdemeanor arrests for driving under the influence, drunkenness, and, liquor law violations and rate per 100,000 population 10 to 69 years. Table 4.1 Number of Arrests for Felony and Misdemeanor Alcohol Offenses, Rate per 100,000 Population 10 to 69 Years with Comparison to Statewide Rates Number of Alcohol Related Arrests Population 10 to 69 16,055 16,237 16,364 16,487 16,650 16,724 16,659 16,631 16,593 Rate per 100,000 4, , , , , , , , , CALIFORNIA Rate per 100,000 1, , , , , , , , , Figure 4.1 Plumas County Alcohol Arrest Rate per 100,000 Population 10 to 69 with Comparison to Statewide Rates 4,800 4,300 3,800 3,300 2,800 2,300 1,800 1, County California Table 4.2 Number of Arrests for Felony and Misdemeanor Alcohol Offenses by Offender Gender, Rate per 100,000 Population 10 to 69 Years, and Percent of Total Alcohol Arrests TOTAL ARRESTS Male Population 10 to 69 8,081 8,164 8,231 8,288 8,360 8,385 8,356 8,342 8,313 Rate per 100,000 6, , , , , , , , , Percent of Total 76.3% 74.5% 80.9% 77.8% 74.3% 72.2% 75.0% 72.4% 71.9% Female Population 10 to 69 7,974 8,073 8,133 8,199 8,290 8,339 8,303 8,289 8,280 Rate per 100,000 1, , , , , , , , , Percent of Total 23.7% 25.5% 19.1% 22.2% 25.7% 27.8% 25.0% 27.6% 28.1% 7,000 Figure 4.2 Plumas County Alcohol Arrest Rate per 100,000 Population 10 to 69 by Offender Gender 6,000 5,000 4,000 3,000 2,000 1,000 0 Male Female Indicators of Alcohol and Other Drug Abuse Alcohol Related Crime Plumas County, California 22

32 Indicator 4: Arrests for Alcohol Related Crime (Continued) Table 4.3 Number of Arrests for Felony and Misdemeanor Alcohol Offenses by Specific Offense, Rate per 100,000 Population 10 to 69 Years, and Percent of Total Alcohol Arrests TOTAL ARRESTS Driving Under the Influence Population 10 to 69 16,055 16,237 16,364 16,487 16,650 16,724 16,659 16,631 16,593 Rate per 100,000 1, , , , , , , , , Percent of Total 44.8% 38.4% 46.2% 45.5% 49.8% 43.4% 50.4% 52.6% 58.8% Drunk Population 10 to 69 16,055 16,237 16,364 16,487 16,650 16,724 16,659 16,631 16,593 Rate per 100, , Percent of Total 22.8% 28.7% 25.2% 30.2% 24.8% 32.5% 24.2% 25.1% 28.1% Liquor Law Violations Population 10 to 69 16,055 16,237 16,364 16,487 16,650 16,724 16,659 16,631 16,593 Rate per 100,000 1, , Percent of Total 32.4% 32.9% 28.6% 24.3% 25.4% 24.1% 25.4% 22.3% 13.1% Figure 4.3 Plumas County Alcohol Arrest Rate per 100,000 Population 10 to 69 by Specific Offense 2,000 1,800 1,600 1,400 1,200 1, Driving Under the Influence Drunk Liquor Law Violations Indicators of Alcohol and Other Drug Abuse Alcohol Related Crime Plumas County, California 23

33 Indicator 4: Arrests for Alcohol Related Crime (Continued) Table 4.4 Number of Arrests for Felony and Misdemeanor Alcohol Offenses by Offender Race/Ethnicity, Rate per 100,000 Population 10 to 69 Years, and Percent of Total Alcohol Arrests TOTAL ARRESTS American Indian Population 10 to Rate per 100,000 6, , , , , , , , , Percent of Total 3.6% 4.7% 3.7% 2.1% 2.9% 2.3% 2.9% 2.1% 3.4% Asian/Pacific Islander Population 10 to Rate per 100,000 8, , , , , , Percent of Total 1.5% 0.7% 1.2% 0.2% 0.2% 0.6% 1.0% 0.9% 0.0% Black Population 10 to Rate per 100,000 12, , , , , , , , , Percent of Total 1.8% 2.2% 1.8% 2.7% 2.4% 3.7% 2.5% 2.5% 3.2% Hispanic Population 10 to ,013 1,036 1,058 1,068 1,079 Rate per 100,000 4, , , , , , , , , Percent of Total 5.8% 7.2% 3.7% 4.4% 3.9% 3.3% 6.9% 5.5% 5.2% White Population 10 to 69 14,254 14,398 14,481 14,565 14,690 14,731 14,635 14,583 14,520 Rate per 100,000 4, , , , , , , , , Percent of Total 86.8% 84.5% 88.0% 89.7% 89.2% 88.6% 85.7% 87.3% 86.5% Other Percent of Total 0.4% 0.8% 1.6% 0.8% 1.5% 1.4% 1.1% 1.7% 1.8% 20,000 Figure 4.4 Plumas County Alcohol Arrest Rate per 100,000 Population 10 to 69 by Offender Race/ Ethnicity 15,000 10,000 5,000 0 American Indian Asian/Pacific Islander Black Hispanic White Indicators of Alcohol and Other Drug Abuse Alcohol Related Crime Plumas County, California 24

34 Indicator 4: Arrests for Alcohol Related Crime (Continued) Table 4.5 Number of Arrests for Felony and Misdemeanor Alcohol Offenses by Offender Age Category, Rate per 100,000 Population, and Percent of Total Alcohol Arrests TOTAL ARRESTS Years and Under Population 10 to 17 2,545 2,541 2,482 2,416 2,368 2,310 2,220 2,110 2,002 Rate per 100,000 4, , , , , , , , , Percent of Total 16.2% 15.5% 15.8% 12.8% 12.9% 15.9% 10.9% 10.8% 7.8% 18 to 24 Years Population 1,305 1,501 1,698 1,895 2,070 2,183 2,274 2,343 2,339 Rate per 100,000 14, , , , , , , , , Percent of Total 27.7% 26.9% 27.8% 28.9% 28.9% 28.8% 29.2% 27.0% 24.5% 25 to 34 Years Population 1,653 1,603 1,582 1,557 1,566 1,608 1,657 1,770 1,944 Rate per 100,000 5, , , , , , , , , Percent of Total 12.9% 14.5% 12.8% 14.5% 16.7% 18.6% 17.2% 14.9% 19.5% 35 to 44 Years Population 2,996 2,869 2,700 2,565 2,471 2,373 2,234 2,127 2,007 Rate per 100,000 4, , , , , , , , , Percent of Total 19.3% 17.0% 18.1% 16.1% 15.4% 17.4% 17.4% 18.0% 17.7% 45 to 54 Years Population 3,620 3,698 3,724 3,730 3,730 3,694 3,631 3,521 3,432 Rate per 100,000 3, , , , , , , , , Percent of Total 17.5% 17.4% 17.8% 19.1% 17.8% 12.3% 18.3% 20.4% 17.5% 55 to 64 Years Population 2,837 2,907 3,018 3,123 3,197 3,259 3,319 3,433 3,520 Rate per 100,000 1, , , , , Percent of Total 4.5% 6.8% 5.7% 6.5% 7.2% 5.7% 5.5% 7.6% 8.8% 65 Years and Older Population 65 to 69 1,099 1,118 1,160 1,201 1,248 1,297 1,324 1,327 1,349 Rate per 100,000 1, , Percent of Total 1.8% 1.8% 2.0% 2.1% 1.1% 1.4% 1.5% 1.3% 4.2% Figure 4.5 Plumas County Alcohol Arrest Rate per 100,000 Population by Offender Age Category 16,000 14,000 12,000 10,000 8,000 6,000 4,000 2, to to to to to to Indicators of Alcohol and Other Drug Abuse Alcohol Related Crime Plumas County, California 25

35 Indicator 4: Arrests for Alcohol Related Crime (Continued) Table 4.6 Number of Arrests for Felony and Misdemeanor Alcohol Offenses by Gender and Race/Ethnicity among Underage Offenders, Rate per 100,000 Population 10 to 17 Years, and Percent of Total Alcohol Arrests ALL ALCOHOL ARRESTS UNDER AGE Male Population 10 to 17 1,327 1,317 1,290 1,238 1,201 1,163 1,127 1,076 1,000 Rate per 100,000 5, , , , , , , , , Percent of Total 63.9% 68.8% 71.3% 65.6% 57.1% 54.3% 63.2% 61.4% 53.8% Female Population 10 to 17 1,218 1,224 1,192 1,178 1,167 1,147 1,093 1,034 1,002 Rate per 100,000 3, , , , , , , , , Percent of Total 36.1% 31.2% 28.8% 34.4% 42.9% 45.7% 36.8% 38.6% 46.2% American Indian Population 10 to Rate per 100,000 6, , , , , Percent of Total 3.7% 2.2% 3.8% 6.6% 0.0% 0.0% 3.5% 0.0% 0.0% Asian/Pacific Islander Population 10 to Rate per 100,000 21, , , , , , , Percent of Total 3.7% 2.2% 5.0% 0.0% 8.6% 1.2% 1.8% 3.5% 0.0% Black Population 10 to Rate per 100,000 27, , , , , , , , Percent of Total 4.6% 2.2% 1.3% 1.6% 4.3% 6.2% 0.0% 3.5% 2.6% Hispanic Population 10 to Rate per 100,000 2, , , , , , Percent of Total 4.6% 7.5% 3.8% 11.5% 0.0% 3.7% 0.0% 3.5% 12.8% White Population 10 to 17 2,120 2,118 2,058 2,001 1,951 1,896 1,814 1,727 1,632 Rate per 100,000 4, , , , , , , , , Percent of Total 83.3% 84.9% 85.0% 80.3% 84.3% 88.9% 93.0% 89.5% 82.1% Other Percent of Total 0.0% 1.1% 1.3% 0.0% 2.9% 0.0% 1.8% 0.0% 2.6% Indicators of Alcohol and Other Drug Abuse Alcohol Related Crime Plumas County, California 26

36 Indicator 5: Alcohol Involved Motor Vehicle Accidents The number of alcohol involved motor vehicle accidents and number of persons injured or killed and rate per 100,000 population Table 5.1 Plumas County Fatalities in Alcohol Involved Accidents and Rate per 100,000 Total Population with Comparison to Statewide Rates Number of Fatalities Total Population 20,868 21,037 21,155 21,316 21,478 21,577 21,544 21,602 21,668 Rate per 100, CALIFORNIA Rate per 100, Figure 5.1 Plumas County Alcohol Involved Accident Fatality Rate per 100,000 Total Population with Comparison to Statewide Rates County California Table 5.2 Parties in Alcohol Involved Accidents Who Had Been Drinking by Party Gender and Rate per 100,000 Population, and Percent of Total TOTAL HAD BEEN DRINKING DRIVERS Male Population 10,412 10,489 10,539 10,611 10,683 10,721 10,694 10,710 10,730 Rate per 100, Percent of Total 74.6% 75.0% 75.6% 72.5% 81.8% 77.6% 73.0% 65.6% 51.6% Female Population 10,456 10,548 10,616 10,705 10,795 10,856 10,850 10,892 10,938 Rate per 100, Percent of Total 23.8% 22.5% 23.2% 27.5% 14.5% 22.4% 27.0% 34.4% 48.4% Unknown Percent of Total 1.6% 2.5% 1.2% 0.0% 3.6% 0.0% 0.0% 0.0% 0.0% Figure 5.2 Plumas County Had Been Drinking Driver Rate per 100,000 Population, by Party Gender Male Female Indicators of Alcohol and Other Drug Abuse Drinking and Driving Plumas County, California 27

37 Indicator 5: Alcohol Involved Motor Vehicle Accidents (Continued) Table 5.3 Plumas County Alcohol Involved Accidents by Injury Severity, Rate per 100,000 Total Population, and Percent of Total TOTAL ALCOHOL INVOLVED ACCIDENTS Property Damage Only (PDO) Total Population 21,478 21,577 21,544 21,602 21,668 Rate per 100, Percent of Total 45.5% 42.9% 51.6% 45.0% 41.9% Injury Complaint of Pain Total Population 21,478 21,577 21,544 21,602 21,668 Rate per 100, Percent of Total 7.3% 4.1% 9.7% 8.3% 0.0% Injury Other Visible Total Population 21,478 21,577 21,544 21,602 21,668 Rate per 100, Percent of Total 29.1% 30.6% 29.0% 30.0% 45.2% Injury Severe Total Population 21,478 21,577 21,544 21,602 21,668 Rate per 100, Percent of Total 16.4% 14.3% 6.5% 15.0% 12.9% Injury Fatal Total Population 21,478 21,577 21,544 21,602 21,668 Rate per 100, Percent of Total 1.8% 8.2% 3.2% 1.7% 0.0% 160 Figure 5.3 Plumas County Alcohol Involved Accident Rate per 100,000 Total Population, by Injury Severity PDO Complaint of Pain Other Visible Injury Severe Injury Fatal Injury Indicators of Alcohol and Other Drug Abuse Drinking and Driving Plumas County, California 28

38 Indicator 5: Alcohol Involved Motor Vehicle Accidents (Continued) Table 5.4 Parties in Alcohol Involved Accidents Who Had Been Drinking by Party Race/Ethnicity, Rate per 100,000 Population, and Percent of Total TOTAL HAD BEEN DRINKING DRIVERS Black Population Rate per 100, Percent of Total 2.4% 3.9% 1.8% 0.0% 0.0% 0.0% 0.0% Hispanic Population 1,220 1,233 1,254 1,269 1,289 1,310 1,333 Rate per 100, Percent of Total 2.4% 3.9% 3.6% 2.0% 6.3% 1.6% 0.0% White Population 18,728 18,861 18,984 19,043 18,976 19,001 19,029 Rate per 100, Percent of Total 78.0% 90.2% 92.7% 91.8% 88.9% 93.4% 93.5% Other/Unknown Percent of Total 17.1% 2.0% 1.8% 6.1% 4.8% 4.9% 6.5% Figure 5.4 Plumas County Had Been Drinking Driver Rate per 100,000 Population, by Party Race/ Ethnicity 1,600 1,400 1,200 1, Black Hispanic White Indicators of Alcohol and Other Drug Abuse Drinking and Driving Plumas County, California 29

39 Indicator 5: Alcohol Involved Motor Vehicle Accidents (Continued) Table 5.5 Parties in Alcohol Involved Accidents Who Had Been Drinking by Party Age Category and Rate per 100,000 Population, and Percent of Total TOTAL HAD BEEN DRINKING DRIVERS Years and Under Population 4,700 4,598 4,452 4,371 4,268 4,173 4,060 3,968 3,900 Rate per 100, Percent of Total 6.3% 0.0% 2.4% 0.0% 0.0% 2.0% 7.9% 1.6% 0.0% 18 to 24 Years Population 1,305 1,501 1,698 1,895 2,070 2,183 2,274 2,343 2,339 Rate per 100, , Percent of Total 20.6% 17.5% 26.8% 35.3% 34.5% 20.4% 27.0% 29.5% 25.8% 25 to 34 Years Population 1,653 1,603 1,582 1,557 1,566 1,608 1,657 1,770 1,944 Rate per 100, , , Percent of Total 15.9% 25.0% 22.0% 17.6% 9.1% 22.4% 31.7% 24.6% 25.8% 35 to 44 Years Population 2,996 2,869 2,700 2,565 2,471 2,373 2,234 2,127 2,007 Rate per 100, Percent of Total 27.0% 20.0% 15.9% 15.7% 27.3% 24.5% 11.1% 11.5% 19.4% 45 to 54 Years Population 3,620 3,698 3,724 3,730 3,730 3,694 3,631 3,521 3,432 Rate per 100, Percent of Total 20.6% 25.0% 17.1% 19.6% 14.5% 14.3% 17.5% 19.7% 3.2% 55 to 64 Years Population 2,837 2,907 3,018 3,123 3,197 3,259 3,319 3,433 3,520 Rate per 100, Percent of Total 4.8% 7.5% 8.5% 7.8% 12.7% 14.3% 4.8% 9.8% 12.9% 65 Years and Older Population 3,757 3,861 3,981 4,075 4,176 4,287 4,369 4,440 4,526 Rate per 100, Percent of Total 3.2% 2.5% 6.1% 3.9% 1.8% 2.0% 0.0% 3.3% 9.7% Other/Unknown Percent of Total 1.6% 2.5% 1.2% 0.0% 0.0% 0.0% 0.0% 0.0% 3.2% Figure 5.5 Plumas County Had Been Drinking Driver Rate per 100,000 Population, by Party Age Category 1,400 1,200 1, to to to to to to Indicators of Alcohol and Other Drug Abuse Drinking and Driving Plumas County, California 30

40 Indicator 6: Hospitalizations Due to Alcohol and Drug Use The number of hospital admissions due to alcohol and drug related causes and rate per 100,000 population. Table 6.1 Hospitalizations Due to Alcohol and Drug Related Causes (Combined) in Del Norte, Modoc, Plumas, and Sierra Counties and Rate per 100,000 Total Population with Comparison to Statewide Rates Number of Hospitalizations Total Population 61,877 62,131 62,641 63,281 64,534 64,846 65,222 65,687 Rate per 100, CALIFORNIA Rate per 100, Figure 6.1 Del Norte, Modoc, Plumas, and Sierra Counties Alcoholand Drug Related Hospitalization Rate per 100,000 Total Population with Comparison to Statewide Rates County California Table 6.2 Hospitalizations Due to Alcohol and Drug Related Causes (Combined) in Del Norte, Modoc, Plumas, and Sierra Counties by Patient Gender, Rate per 100,000 Population, and Percent of Total Hospitalizations AOD HOSPITALIZATIONS Male Population 32,438 32,567 32,819 33,135 33,766 33,909 34,089 34,312 Rate per 100, Percent of Total 34.07% 38.76% 40.30% 37.80% 29.14% 31.03% 42.75% 35.66% Female Population 29,439 29,564 29,822 30,146 30,768 30,937 31,133 31,375 Rate per 100, Percent of Total 40.74% 31.01% 35.82% 39.02% 50.99% 42.76% 34.06% 37.21% Unknown Percent of Total 25.19% 30.23% 23.88% 23.17% 19.87% 26.21% 23.19% 27.13% Figure 6.2 Del Norte, Modoc, Plumas, and Sierra Counties AOD Related Hospitalization Rate per 100,000 Population by Patient Gender Male Female Indicators of Alcohol and Other Drug Abuse AOD Hospitalizations Plumas County, California 31

41 Indicator 6: Hospitalizations Due to Alcohol and Drug Use (Continued) Table 6.3 Hospitalizations Due to Alcohol Related Causes in Del Norte, Modoc, Plumas, and Sierra Counties and Rate per 100,000 Total Population with Comparison to Statewide Rates Number of Hospitalizations Total Population 61,877 62,131 62,641 63,281 64,534 64,846 65,222 65,687 Rate per 100, CALIFORNIA Rate per 100, Figure 6.3 Del Norte, Modoc, Plumas, and Sierra Counties Alcohol Related Hospitalization Rate per 100,000 Total Population with Comparison to Statewide Rates County California Table 6.4 Hospitalizations Due to Drug Related Causes in Del Norte, Modoc, Plumas, and Sierra Counties and Rate per 100,000 Total Population with Comparison to Statewide Rates Number of Hospitalizations Total Population 61,877 62,131 62,641 63,281 64,534 64,846 65,222 65,687 Rate per 100, CALIFORNIA Rate per 100, Figure 6.4 Del Norte, Modoc, Plumas, and Sierra Counties Drug Related Hospitalization Rate per 100,000 Total Population with Comparison to Statewide Rates County California Indicators of Alcohol and Other Drug Abuse AOD Hospitalizations Plumas County, California 32

42 Indicator 6: Hospitalizations Due to Alcohol and Drug Use (Continued) Table 6.5 Hospitalizations Due to Alcohol Related Causes in Del Norte, Modoc, Plumas, and Sierra Counties by Specific Cause and Rate per 100,000 Total Population TOTAL ALCOHOL RELATED HOSPITALIZATIONS Alcohol Abuse Rate per 100, Alcohol Cardiomyopathy Rate per 100, Alcohol Dependence Syndrome Rate per 100, Alcohol Dependent Abuse Rate per 100, Alcohol Poisoning Rate per 100, Alcohol Polyneuropathy Rate per 100, Alcohol Psychosis Rate per 100, Alcoholic Gastritis Rate per 100, Alcoholic Liver Disease Rate per 100, Fetal Alcohol Syndrome Rate per 100, Indicators of Alcohol and Other Drug Abuse AOD Hospitalizations Plumas County, California 33

43 Indicator 6: Hospitalizations Due to Alcohol and Drug Use (Continued) Table 6.6 Hospitalizations Due to Drug Related Causes in Del Norte, Modoc, Plumas, and Sierra Counties by Specific Cause and Rate per 100,000 Total Population TOTAL DRUG RELATED HOSPITALIZATIONS Drug Psychosis Rate per 100, Drug Polyneuropathy Rate per 100, Dependence Barbituates Rate per 100, Cannabis Rate per 100, Cocaine Rate per 100, Hallucinogen Rate per 100, Inhalant Rate per 100, Morphine Rate per 100, Stimulant Rate per 100, Combination Rate per 100, Unspecified Rate per 100, Maternal Drug Dependence Rate per 100, Abuse Amphetamine Rate per 100, Antidepressant Rate per 100, Cannabis Rate per 100, Cocaine Rate per 100, Hallucinogen Rate per 100, Morphine Rate per 100, Sedative Rate per 100, Other, Mixed or Unspecified Rate per 100, Accidental Drug Poisonings Rate per 100, Other Drug Poisonings Rate per 100, Self Inflicted Drug Poisonings Rate per 100, Drug Exposure in Newborns Rate per 100, Fetal Damage due to Maternal Drug Use Rate per 100, Indicators of Alcohol and Other Drug Abuse AOD Hospitalizations Plumas County, California 34

44 Indicator 6: Hospitalizations Due to Alcohol and Drug Use (Continued) Table 6.7 Hospitalizations Due to Alcohol and Drug Related Causes (Combined) in Del Norte, Modoc, Plumas, and Sierra Counties by Patient Race/Ethnicity, Rate per 100,000 Population, and Percent of Total Hospitalizations TOTAL AOD RELATED HOSPITALIZATIONS American Indian Population 2,519 2,533 2,578 2,632 2,764 2,782 2,824 2,866 Rate per 100, Percent of Total 5.2% 0.8% 5.2% 3.0% 6.0% 0.7% 5.1% 0.8% Asian/Pacific Islander Population Rate per 100, Percent of Total 0.0% 0.0% 0.7% 0.0% 0.7% 1.4% 2.9% 0.8% Black Population 1,412 1,414 1,419 1,423 1,469 1,472 1,472 1,471 Rate per 100, Percent of Total 0.0% 1.6% 0.7% 0.0% 0.0% 0.0% 0.0% 0.8% Hispanic Population 6,379 6,447 6,585 6,740 6,962 7,065 7,236 7,387 Rate per 100, Percent of Total 0.0% 0.8% 3.0% 0.0% 0.0% 0.0% 0.7% 0.8% White Population 49,103 49,266 49,579 50,001 50,798 50,902 51,020 51,248 Rate per 100, Percent of Total 64.4% 58.1% 59.7% 71.3% 64.9% 66.2% 65.9% 66.7% Other/Unknown Percent of Total 30.4% 38.8% 30.6% 25.6% 28.5% 31.7% 25.4% 30.2% Figure 6.5 Del Norte, Modoc, Plumas, and Sierra Counties AOD Related Hospitalization Rate per 100,000 Population by Patient Race/ Ethnicity American Indian Asian/Pacific Islander Black Hispanic White Indicators of Alcohol and Other Drug Abuse AOD Hospitalizations Plumas County, California 35

45 Indicator 6: Hospitalizations Due to Alcohol and Drug Use (Continued) Table 6.8 Hospitalizations Due to Alcohol and Drug Related Causes (Combined) in Del Norte, Modoc, Plumas, and Sierra Counties by Patient Age Category, Rate per 100,000 Population, and Percent of Total Hospitalizations TOTAL AOD RELATED HOSPITALIZATIONS Years and Under Population 14,901 14,459 14,055 13,760 13,698 13,357 13,173 12,999 Rate per 100, Percent of Total 1.5% 0.0% 1.5% 1.8% 2.6% 0.0% 0.0% 1.6% 18 to 24 Years Population 4,338 4,914 5,556 6,200 6,847 7,295 7,651 7,858 Rate per 100, Percent of Total 3.7% 3.9% 3.0% 5.5% 3.3% 1.4% 1.4% 1.6% 25 to 34 Years Population 6,799 6,622 6,553 6,481 6,524 6,532 6,627 6,968 Rate per 100, Percent of Total 5.2% 3.1% 1.5% 6.1% 1.3% 3.4% 2.9% 3.1% 35 to 44 Years Population 9,777 9,485 9,163 8,885 8,766 8,455 8,114 7,761 Rate per 100, Percent of Total 11.9% 9.3% 9.0% 9.8% 14.6% 7.6% 8.7% 0.8% 45 to 54 Years Population 9,642 9,861 9,947 10,079 10,280 10,317 10,306 10,261 Rate per 100, Percent of Total 8.1% 19.4% 14.2% 16.5% 18.5% 14.5% 15.9% 10.9% 55 to 64 Years Population 6,857 7,086 7,463 7,791 8,100 8,329 8,612 8,915 Rate per 100, Percent of Total 9.6% 7.0% 6.0% 6.7% 9.9% 9.0% 8.7% 13.2% 65 Years and Older Population 9,563 9,704 9,904 10,085 10,319 10,561 10,739 10,925 Rate per 100, Percent of Total 6.7% 6.2% 11.2% 9.8% 7.9% 14.5% 14.5% 14.0% Other/Unknown Percent of Total 53.3% 51.2% 53.7% 43.9% 41.7% 49.7% 47.8% 55.0% Figure 6.6 Del Norte, Modoc, Plumas, and Sierra Counties AOD Related Hospitalization Rate per 100,000 Population by Patient Age Category to to to to to to Indicators of Alcohol and Other Drug Abuse AOD Hospitalizations Plumas County, California 36

46 Indicator 7: Deaths Due to Alcohol and Drug Use The number of deaths due to alcohol and drug related causes and age adjusted death rate per 100,000 population. Table 7.1 Deaths Due to Alcohol and Drug Related Causes (Combined) and Age Adjusted Rate per 100,000 with Comparison to Statewide Rates Number of Deaths Total Population 20,868 21,037 21,155 21,316 21,478 21,577 21,544 21,602 Rate per 100, CALIFORNIA Rate per 100, Figure 7.1 Plumas County Mortality Age Adjusted Rate per 100,000 Total Population with Comparison to Statewide Rates County California Table 7.2 Deaths Due to Alcohol and Drug Related Causes (Combined) by Gender of Decedent, Rate per 100,000 Total Population, and Percent of Total AOD Related Deaths TOTAL AOD RELATED DEATHS Male Population 10,412 10,489 10,539 10,611 10,683 10,721 10,694 10,710 Rate per 100, Percent of Total 75.00% 33.33% 66.67% 57.14% 50.00% 45.45% 66.67% 60.00% Female Population 10,456 10,548 10,616 10,705 10,795 10,856 10,850 10,892 Rate per 100, Percent of Total 25.00% 66.67% 33.33% 42.86% 50.00% 54.55% 33.33% 40.00% Figure 7.2 Plumas County AOD Related Mortality Rate per 100,000 Population by Decedent Gender Male Female Indicators of Alcohol and Other Drug Abuse AOD Mortality Plumas County, California 37

47 Indicator 7: Deaths Due to Alcohol and Drug Use (Continued) Table 7.3 Deaths Due to Alcohol Related Causes and Rate per 100,000 Total Population, with Comparison to Statewide Rates Number of Deaths Total Population 20,868 21,037 21,155 21,316 21,478 21,577 21,544 21,602 Rate per 100, CALIFORNIA Rate per 100, Figure 7.3 Plumas County Alcohol Related Mortality Rate per 100,000 Population with Comparison to Statewide Rates County California Table 7.4 Deaths Due to Drug Related Causes and Rate per 100,000 Total Population, with Comparison to Statewide Rates Number of Deaths Total Population 20,868 21,037 21,155 21,316 21,478 21,577 21,544 21,602 Rate per 100, CALIFORNIA Rate per 100, Figure 7.4 Plumas County Drug Related Mortality Rate per 100,000 Population with Comparison to Statewide Rates County California Indicators of Alcohol and Other Drug Abuse AOD Mortality Plumas County, California 38

48 Indicator 7: Deaths Due to Alcohol and Drug Use (Continued) Table 7.5 Deaths Due to Alcohol Related Causes by Specific Cause, and Rate per 100,000 Total Population TOTAL ALCOHOL RELATED DEATHS Alcohol Psychosis Rate per 100, Alcohol Abuse Rate per 100, Alcohol Dependence Syndrome Rate per 100, Alcoholic Polyneuropathy Rate per 100, Degeneration of the Nervous System Rate per 100, Alcoholic Myopathy Rate per 100, Alcoholic Cardiomyopathy Rate per 100, Alcoholic Gastritis Rate per 100, Alcoholic Liver Disease Rate per 100, Fetal Alcohol Syndrome Rate per 100, Fetus and Newborn Affect by Maternal Use of Alcohol Rate per 100, Alcohol Poisoning Rate per 100, Intentional Self Poisoning (Alcohol) Rate per 100, Excessive Blood Level of Alcohol Rate per 100, Alcohol Induced Pancreatitis Rate per 100, Indicators of Alcohol and Other Drug Abuse AOD Mortality Plumas County, California 39

49 Indicator 7: Deaths Due to Alcohol and Drug Use (Continued) Table 7.6 Deaths Due to Drug Related Causes by Specific Cause, and Rate per 100,000 Total Population TOTAL DRUG RELATED DEATHS Accidental Drug Poisoning Rate per 100, Intentional Self Poisoning (Drug) Rate per 100, Intentional Poisoning (Assault) Rate per 100, Other Drug Poisonings Rate per 100, Fetus and Newborn Affect by Maternal Use of Drugs Rate per 100, Mental and Behavioral Disorders due to Use of Cannabinoids Rate per 100, Cocaine Rate per 100, Hallucinogens Rate per 100, Opioids Rate per 100, Other Psychoactive Substances Rate per 100, Sedatives or Hypnotics Rate per 100, Solvents Rate per 100, Stimulants Rate per 100, Indicators of Alcohol and Other Drug Abuse AOD Mortality Plumas County, California 40

50 Indicator 7: Deaths Due to Alcohol and Drug Use (Continued) Table 7.7 Deaths Due to Alcohol and Drug Related Causes (Combined) by Race/Ethnicity of Decedent, Rate per 100,000 Total Population, and Percent of Total AOD Related Deaths TOTAL AOD RELATED DEATHS American Indian Population Rate per 100, Percent of Total 0.0% 0.0% 0.0% 14.3% 0.0% 0.0% 0.0% 0.0% Asian/Pacific Islander Population Rate per 100, Percent of Total 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% Black Population Rate per 100, Percent of Total 0.0% 0.0% 0.0% 0.0% 0.0% 9.1% 0.0% 0.0% Hispanic Population 1,202 1,215 1,220 1,233 1,254 1,269 1,289 1,310 Rate per 100, Percent of Total 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% White Population 18,494 18,629 18,728 18,861 18,984 19,043 18,976 19,001 Rate per 100, Percent of Total 100.0% 100.0% 100.0% 85.7% 100.0% 90.9% 100.0% 100.0% Other Percent of Total 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% Figure 7.5 Plumas County AOD Related Mortality Rate per 100,000 Population by Decedent Race/ Ethnicity American Indian Asian/Pacific Islander Black Hispanic White Indicators of Alcohol and Other Drug Abuse AOD Mortality Plumas County, California 41

51 Indicator 7: Deaths Due to Alcohol and Drug Use (Continued) Table 7.8 Deaths Due to Alcohol and Drug Related Causes (Combined) by Age Category of Decedent, Rate per 100,000 Total Population, and Percent of Total AOD Related Deaths TOTAL AOD RELATED DEATHS Years and Under Population 4,700 4,598 4,452 4,371 4,268 4,173 4,060 3,968 Rate per 100, Percent of Total 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 18 to 24 Years Population 1,305 1,501 1,698 1,895 2,070 2,183 2,274 2,343 Rate per 100, Percent of Total 0.0% 0.0% 33.3% 0.0% 25.0% 0.0% 0.0% 10.0% 25 to 34 Years Population 1,653 1,603 1,582 1,557 1,566 1,608 1,657 1,770 Rate per 100, Percent of Total 0.0% 0.0% 0.0% 14.3% 25.0% 0.0% 0.0% 10.0% 35 to 44 Years Population 2,996 2,869 2,700 2,565 2,471 2,373 2,234 2,127 Rate per 100, Percent of Total 50.0% 33.3% 33.3% 28.6% 0.0% 9.1% 0.0% 0.0% 45 to 54 Years Population 3,620 3,698 3,724 3,730 3,730 3,694 3,631 3,521 Rate per 100, Percent of Total 25.0% 33.3% 33.3% 28.6% 25.0% 54.5% 33.3% 40.0% 55 to 64 Years Population 2,837 2,907 3,018 3,123 3,197 3,259 3,319 3,433 Rate per 100, Percent of Total 25.0% 33.3% 0.0% 0.0% 25.0% 9.1% 33.3% 20.0% 65 Years and Older Population 3,757 3,861 3,981 4,075 4,176 4,287 4,369 4,440 Rate per 100, Percent of Total 0.0% 0.0% 0.0% 28.6% 0.0% 27.3% 33.3% 20.0% Figure 7.6 Plumas County AOD Related Mortality Rate per 100,000 Population by Decedent Age Category to to to to to to Indicators of Alcohol and Other Drug Abuse AOD Mortality Plumas County, California 42

52 SOURCES Indicator Binge Drinking in the Past Year Agency UCLA Center for Health Policy Research, California Department of Health Services, Public Health Institute Print and Electronic Data Sources California Health Interview Survey (CHIS) 2008 Admissions to Alcohol and Other Drug Treatment California Department of Alcohol and Drug Programs (ADP) California Alcohol and Drug Data System (CADDS) Admissions Data California Outcome Measurement System (CalOMS) Admissions Data Alcohol and Drug Related Crime California Department of Justice, Office of the Attorney General, Criminal Justice Statistics Center California Arrest Data Drinking and Driving California Highway Patrol (CHP) Statewide Integrated Traffic Records System (SWITRS) Alcohol and Drug Related Hospitalizations Office of Statewide Health Planning and Development (OSHPD) California Hospital Discharge Data Set, Alcohol and Drug Related Mortality California Department of Public Health, Vital Statistics Section Death Statistical Masterfile California Health Status Profiles 2006 Indicators of Alcohol and Other Drug Abuse Data Sources Plumas County, California 43

53 Alcohol and Other Drug Use California Healthy kids Survey 2 Plumas CHKS Table A4.1 AOD use (Lifetime) Grade 7 % Grade 9 % Grade 11 % Alcohol (one full drink) 0 times time to 3 times or more times Marijuana 0 times time to 3 times or more times Inhalants (to get high) 0 times time to 3 times or more times Cocaine 0 times na time na to 3 times na or more times na 3 3 Methamphetamine or any amphetamines 0 times na time na to 3 times na or more times na 1 3 LSD or other psychedelics 0 times na time na to 3 times na or more times na 2 3 Ecstasy 0 times na time na to 3 times na or more times na 1 3 Heroin 0 times na time na to 3 times na or more times na 1 1 Other illegal drug or pill 0 times time to 3 times or more times Any of the above AOD Use Prescription pain killers 0 times na time na to 3 times na or more times na Barbiturates 0 times na time na to 3 times na 1 1

54 4 or more times na 3 3 Table A4.1 AOD use (Lifetime) continued. Grade 7 % Grade 9 % Grade 11 % Tranquilizers or sedatives 0 times na time na to 3 times na or more times na 2 3 Cold/Cough Medicines 0 times na time na to 3 times na or more times na Diet Pills 0 times na time na to 3 times na or more times na 4 6 Ritalin or Adderall 0 times na time na to 3 times na or more times na 4 7 Table A4.2 AOD use (Age of Onset) Grade 7 % Grade 9 % Grade 11 % Alcohol (one full drink) Never or under years old years old years old years or older Marijuana Never or under years old years old years old years or older Other illegal drug Never or under years old years old years old years or older 0 1 3

55 Table A4.3 Current AOD use (Past 30 Days) Grade 7 % Grade 9 % Grade 11 % Alcohol (at least one drink) Marijuana Inhalants Cocaine na 1 1 Methamphetamine or any amphetamines na 1 3 Ecstasy, LSD or other psychedelics na 2 3 Other illegal drug or pill Any of the above AOD Use Two or more drugs at the same time na Table A4.4 Frequency of Current Alcohol and Marijuana use (Past 30 Days) Grade 7 % Grade 9 % Grade 11 % Alcohol None or 2 days to 9 days to 19 days or more days (daily) Marijuana None or 2 days to 9 days to 19 days or more days (daily) Table A4.5 Ever Very Drunk or Sick from Drinking Alcohol Grade 7 % Grade 9 % Grade 11 % 0 times to 2 times to 6 times or more times Table A4.6 Ever "High" from Using Drugs Grade 7 % Grade 9 % Grade 11 % 0 times to 2 times to 6 times or more times Current Binge (Episodic Heavy) Drinking, Past 30 Days Grade 7 % Grade 9 % Grade 11 % 0 days to 2 days or more days Table A4.7 Current Binge (Episodic Heavy) Drinking, Past 30 Days Grade 7 % Grade 9 % Grade 11 % 0 days

56 1 to 2 days or more days Table A4.8 Desired Level of Alcohol Consumption, Drinking Style or Preference Grade 7 % Grade 9 % Grade 11 % Don't drink alcohol Just a sip or two Enough to feel it a little Enough to feel it a lot Until really drunk Table A4.9 Usual Level of Highness When Using Drugs Grade 9 % Grade 11 % Don't use drugs Not high at all 3 2 A little high 6 8 Moderately high 9 19 Very high Table A4.10 Ever Driven after Drinking (Respondent or by Friend) Grade 9 % Grade 11 % Never Any time times to 6 times or more times 12 7 Table A4.11 Ever Been a Passenger in a Car Driven by Someone Who Had Been DrinGrade 7 % Never 42 Any 58 1 time 14 2 times 16 3 to 6 times 10 7 or more times 18 Table A4.12 Any Current Alcohol and Marijuana Use on School Property, Past 30 DaGrade 7 % Grade 9 % Grade 11 % Alcohol 0 days to 2 days or more days Marijuana 0 days to 2 days or more days Any illegal drug or pill 0 days to 2 days or more days Table A4.13 Ever Drunk or High on School Property Grade 7 % Grade 9 % Grade 11 %

57 0 times to 2 times to 6 times or more times Table A4.14 Perceived Harm of Frequent Alcohol Use Grade 7 % Grade 9 % Grade 11 % Alcohol - Drink Occasionally Great Moderate Slight None Alcohol - 5 or more drinks once or twice a week Great Moderate Slight None Table A4.15 Perceived Harm of Frequent Marijuana Use Grade 7 % Grade 9 % Grade 11 % Marijuana - Smoke Occasionally Great Moderate Slight None Marijuana - Smoke once or twice a week Great Moderate Slight None Table A4.16 Personal Disapproval of Using Alcohol Grade 7 % Grade 9 % Grade 11 % Alcohol - One or two drinks nearly every day Neither approve or disapprove Somewhat disapprove Strongly disapprove Marijuana or Hashish - Once or twice Neither approve or disapprove Somewhat disapprove Strongly disapprove Marijuana - Once a month or more Neither approve or disapprove Somewhat disapprove Strongly disapprove Table A4.17 Student Perception of Percent of Marijuana Use Among Peers Grade 7 % Grade 9 % Grade 11 % None of them percent percent percent percent percent percent percent percent 1 7 9

58 90 percent All of them Table A4.18 Occurrence of Problems While Using Alcohol/Drugs Grade 9 % Grade 11 % Does not apply, never used alcohol/drugs Problems with emotions, nerves, mental health 6 14 Trouble or problems with the police 6 14 Money problems 4 8 Get into trouble in school 5 6 Problems with school work 5 3 Fight with other kids 5 4 Damage a friendship 12 4 Physically hurt or injure yourself 8 1 Unwanted or unprotected sex 5 11 Forget what happened or pass out Other problems 5 6 More than one problem Never had problems when I've used alcohol/drugs Table A4.19 Occurrence of Experiences While Using Alcohol/Drugs Grade 9 % Grade 11 % Does not apply, have not used alcohol or drugs Had to increase use to get same effect as before 9 14 Spent a lot of time getting, using, or being "hung over" from using 7 6 Used alcohol or drugs a lot more than intended 6 9 Used alcohol or drugs when alone ften kept you from going to school, working, recreational activities or hobbies 4 4 Didn't like they way you felt when not high or drunk 5 2 Thought about reducing or stopping Told self not going to use but used anyway 8 14 Spoke with someone about reducing or stopping use 6 5 Attended counseling, program, or group to reduce/stop use 2 2 More than one experience Use alcohol or drugs but have not experienced any of these things Table A4.20 Grade 11 Perceived Difficulty of Obtaining Alcohol and Marijuana Grade 7 % Grade 9 % Grade 11 % Alcohol Very difficult Fairly difficult Fairly easy Very easy Don't know Marijuana Very difficult Fairly difficult Fairly easy Very easy Don't know Table A4.21 Offered Illegal Drugs on School Property, Past 12 Months Grade 7 % Grade 9 % Grade 11 % 0 times time

59 2 to 3 times or more times Table A4.22 Talked to parents or guardian about dangers of ATOD Grade 7 % Grade 9 % Grade 11 % No Yes Table A4.23 Heard/read/watched any messages about not using ATOD Grade 7 % Grade 9 % Grade 11 % No Yes Table A4.24 Employer drug and alcohol testing Grade 7 % Grade 9 % Grade 11 % More likely na Less likely na Would make no difference na Tobacco Use Table A5.1 Ever Used Cigarettes or Smokeless Tobacco, Lifetime Grade 7 % Grade 9 % Grade 11 % A cigarette, even one or two puffs 0 times 79 na na 1 time 11 na na 2 to 3 times 4 na na 4 or more times 6 na na A whole cigarette 0 times time to 3 times or more times Smokeless tobacco 0 times time to 3 times or more times Table A5.2 Age of Onset Grade 7 % Grade 9 % Grade 11 % Smoked part or all of a cigarette Never or under years old years old years old years or older Smokeless Tobacco Never or under years old years old years old

60 17 years or older Table A5.3 Any & Daily Use of Cigarettes & Smokeless Tobacco, Past 30 Days Grade 7 % Grade 9 % Grade 11 % Cigarettes Any Daily Smokeless Tobacco Any Daily Table A5.4 Current Smoking on School Property, Past 30 Days Grade 7 % Grade 9 % Grade 11 % None Any or 2 days to 9 days to 19 days to 30 days Table A5.5 Personal Disapproval of Using Cigarettes Grade 7 % Grade 9 % Grade 11 % Neither approve or disapprove Somewhat disapprove Strongly disapprove Table A5.6 Peer Disapproval of Using Cigarettes Grade 7 % Grade 9 % Grade 11 % Neither approve or disapprove Somewhat disapprove Strongly disapprove Table A5.7 Perceived Harm of Frequent Cigarette Smoking Grade 7 % Grade 9 % Grade 11 % Smoking Occasionally Great Moderate Slight None Smoking 1-2 packs of cigarette a day Great Moderate Slight None Table A5.8 Perceived Difficulty of Obtaining Cigarettes Grade 7 % Grade 9 % Grade 11 % Very difficult Fairly difficult Fairly easy Very easy

61 Don't know Table A5.9 Es.Prevalence of Peer Cigarette Smoking at least Once a Month Grade 7 % Grade 9 % Grade 11 % None of them percent percent percent percent percent percent percent percent percent All of them Results by Gender Table A8.1 Selected Alcohol and Drug Use Measures, by Gender and Grade Grade 7 Grade 9 Lifetime and Current ATOD Use Female % Male % Female % During your life did you ever drink alcohol (one full drink)? use inhalants? smoke marijuana? During the past 30 days, did you drink alcohol (one full drink)? use inhalants? smoke marijuana? Level of Involvement (High Risk Patterns) During your life have you ever been very drunk or sick after drinking alcohol? been high from using drugs? past 30 days, did you drink 5 or more drinks of alcohol in a couple of hours? ATOD Use at School During your life, have you ever been drunk/high on school property? During the past 30 days, did you use marijuana on school property? Perceived Harm Frequent use of is harmful.* alcohol (five or more drinks once or twice a week) marijuana (once or twice a week) Table A8.1 Selected Alcohol and Drug Use Measures, by Gender and Grade Grade 11 Lifetime and Current ATOD Use Female % Male % During your life did you ever drink alcohol (one full drink)? use inhalants? smoke marijuana? During the past 30 days, did you drink alcohol (one full drink)? use inhalants? 3 4 smoke marijuana? Level of Involvement (High Risk Patterns) During your life have you ever been very drunk or sick after drinking alcohol? 62 56

62 been high from using drugs? past 30 days, did you drink 5 or more drinks of alcohol in a couple of hours? ATOD Use at School During your life, have you ever been drunk/high on school property? During the past 30 days, did you use marijuana on school property? 9 8 Perceived Harm Frequent use of is harmful.* alcohol (five or more drinks once or twice a week) marijuana (once or twice a week) Table A8.2 Grade 7 Grade 9 Selected Tobacco Use Measures, by Gender and Grade Female % Male % Female % During your life, did you ever smoke a cigarette? During the past 30 days, did you smoke a cigarette? During the past 30 days, did you smoke cigarettes daily? During the past 30 days, did you smoke cigarettes on school property? Frequent use of cigarettes is harmful. (1-2 packs a day)* Table A8.2 Grade 11 Selected Tobacco Use Measures, by Gender and Grade Female % Male % During your life, did you ever smoke a cigarette? During the past 30 days, did you smoke a cigarette? During the past 30 days, did you smoke cigarettes daily? 6 6 During the past 30 days, did you smoke cigarettes on school property? 5 4 Frequent use of cigarettes is harmful. (1-2 packs a day)* 97 96

63 Table A9.1 Grade 7 Grade 9 Selected Alcohol, Tobacco and Drug Use, with Comparisons to 2007 State CDistrict % CCS % District % Lifetime and Current ATOD Use During your life did you ever smoke a cigarette? (PI) chew tobacco or snuff? drink alcohol (glass)? use inhalants? smoke marijuana? (PI) During the past 30 days, did you smoke a cigarette? (PI) chew tobacco or snuff? drink alcohol (glass)? (PI) use inhalants? smoke marijuana? (PI) Level of Involvement (High Risk Patterns) During your life have you ever been very drunk or sick after drinking? been high from using drugs? During the past 30 days, did you drink 5 drinks in a couple of hours? ATOD Use on School Property During your life, have you ever been drunk/high? During the past 30 days, did you smoke cigarettes? Perceived Harm People risk harming themselves using... cigarettes (1-2 packs a day) alcohol (five or more drinks once or twice a week) marijuana (once or twice a week) Table A9.1 Grade 11 Selected Alcohol, Tobacco and Drug Use, with Comparisons to 2007 State CDistrict % CCS % YRBS % Lifetime and Current ATOD Use During your life did you ever smoke a cigarette? (PI) chew tobacco or snuff? ~ drink alcohol (glass)? use inhalants? smoke marijuana? (PI) During the past 30 days, did you smoke a cigarette? (PI) chew tobacco or snuff? drink alcohol (glass)? (PI) use inhalants? 3 7 ~ smoke marijuana? (PI) Level of Involvement (High Risk Patterns) During your life have you ever been very drunk or sick after drinking? ~ been high from using drugs? ~

64 Plumas County Sheriff Intoxication and Drug Calls Sept 2010 to Aug 2011 Plumas County Sheriff Intoxication Calls Sept 2010 to Aug 2011 Total Calls Crime Report Booking Mental Health CITE 5150 EVAL CHP CLOSED Belden Blairsden Chester Cromberg Graeagle Greenville Hamilton Branch Portola Social Services Quincy Spring Garden Taylorsville Twain Vinton West Shore Lake Almanor Probation Totals Plumas County Sheriff Drug Calls Sept 2010 to Aug 2011 Total Calls Crime Report Booking Mental Health CITE Beckworth Canyon Dam EVAL CHP CLOSED Social Services Probation Chester Chilcoot 1 1 Clio 1 1 Crescent Mills Cromberg 1 1 Graeagle Greenville Lake Almanor 1 1 Meadow Valley Paxton Portola Quincy Taylorsville Twain Virgilia Totals

65 Regional Demographic Data Plumas Lassen Modoc Sierra Siskiyou Total Statewide Number % Number % Number % Number % Number % Number % Number % Population (2009) Land Area Persons per square mile Ethnicity White 85.10% 66.90% 77.80% 85.10% 78.80% % 39.50% Black 0.90% 10.00% 1.00% 0.30% 1.60% % 6.60% American Indian 2.90% 3.70% 4.70% 2.30% 4.40% % 1.20% Asian 0.70% 1.00% 0.70% 0.20% 1.30% 0.78% 12.70% Native Hawaiian/Pacific Islander 0.10% 0.50% 0.10% 0.10% 0.20% % 0.40% Two or more races 2.50% 2.40% 2.50% 2.20% 3.40% % 2.60% Hispanic 7.80% 15.60% 13.20% 9.80% 10.30% % 37.00% Male 50.00% 63.90% 50.60% 50.40% 49.50% % 50.10% Female 50.00% 36.10% 49.40% 49.60% 50.50% % 49.90% Ages % 4.50% 5.00% 3.60% 5.80% % 7.50% % 18.50% 20.40% 18.00% 21.00% % 25.50% % 68.00% 54.80% 59.70% 53.80% % 55.80% 65 and up 21.30% 9.00% 19.80% 18.70% 19.40% % 11.20% 0.00% Median Household Income (2008) $48,770 $47,333 $35,319 $44,282 $36,823 $42,505 Average $47,333 %of college educated 17.50% 10.70% 12.40% 17.20% 17.70% Average 15.10% 26.60% high school graduate 88.00% % 76.80% % unemployed (2011) 17.50% 14.00% 14.90% 17.30% 17.80% Average 16.30% 11.70% % persons living below poverty (2008) 12.00% 20.70% 17.40% 12.70% 16.40% Average 15.84% 13.30% % persons with disabilities 21.32% 13.42% 26.45% 23.00% 20.51% Average 20.94% 26.60% % homeless % uninsured (2009) Regional 29.70% 24.30% % w job based insurance (2009) Regional 40.10% 50.10% % Medi-cal or Healthy Families (2009) Regional 21.60% 16.30% % Medi-cal eligibles (2003) % % ratio of physicians to population (2005) ratio of dentists to population (2005) hospitals per square mile #of hospitals Average # of community & free clinics # of home health agencies Hepatitis incidence STD incidence Gohorrhea ( ) Average Clamydia (2010) Average Syphilis Drug Induced death (2004) Meth Treatment admissions % % % % % % % Alcohol Treatment admissions % % % % % % % TB rates

66 School Experience Indicators School Expulsion and Suspension Rates Compared to the state, Plumas County has extremely higher rates of student suspension from schools overall and suspensions for violence or drugs. From , Plumas County students were expelled from school at twice to three times the state rates. From , expulsion rates overall and for violence and drugs dropped to a much smaller percentage than the state. 14% 12% 10% 8% 7.64% Violence/Drug Suspensions Plumas County and California 12.23% 9.05% 11.07% 5.0% 4.5% 4.0% 3.5% 3.0% Violence/Drug Expulsions Plumas County and California 6% 4% 2% 0% 0.28% 0.31% 0.28% 0.27% % 2.0% 1.5% 1.0% 0.5% 0.0% 0.59% 0.93% 0.28% 0.31% 0.28% 0.27% 0.12% 0.08% Plumas California Source: California Department of Education, Safe & Healthy Kids Program Office. Plumas California Source: California Department of Education, Safe & Healthy Kids Program Office. 1

67 Overall Suspensions Plumas County and California Overall Expulsions Plumas County and California 35% 30.76% 5.0% 30% 27.76% 27.20% 4.0% 25% 20% 17.49% 3.0% 15% 11.86% 13.07% 13.25% 12.53% 2.0% 1.83% 10% 5% 1.0% 0.81% 0.34% 0.33% 0% Plumas California 0.0% 0.34% 0.45% 0.12% 0.08% Plumas California Source: California Department of Education, Safe & Healthy Kids Program Office. Source: California Department of Education, Safe & Healthy Kids Program Office. School Truancy and Drop-Out Rates Plumas County has lower school truancy rates than the state. The truancy rates for individual schools vary tremendously across the County with consistently low rates at Portola High, generally low rates at Quincy High, and increasingly higher rates at the other schools. Truancy Rates Plumas County and California Truancy Rates Plumas County Schools Year Plumas California Almanor Beckwourth Chester Greenville Portola Quincy % 24.61% 14.29% 6.67% 19.24% 6.17% 3.76% 3.39% % 25.22% 25.00% 16.67% 24.50% 6.94% 5.32% 9.83% % 25.70% % % 53.61% 55.70% 5.26% 14.51% % 24.15% 90.91% % 22.13% 57.64% 6.09% 1.64% Source: California Department of Education, DataQuest. The dropout rates for Plumas County are lower than for the state. The rates varied from a low of about 10% in the school year to a high of 23.5% in the school year. Dropout Rates for Grades 9 12: Plumas County and California Year Plumas California % 24.61% % 25.22% % 25.70% % 24.15% Source: California Department of Education, DataQuest. 2

68 California Healthy Kids Survey Data The California Healthy Kids Survey asks students a series of questions about their behaviors, experiences, and attitudes. Students are asked about their experiences with violence-related behaviors, alcohol and drugs, mental health. They are also rated as high, medium, or low on external assets such as having caring relationships with adults. While the survey includes a module on sexual behavior which would provide a clear indicator for students at risk of teen pregnancy, the Plumas Unified School District decided they would not administer that module. Violence-Related Behaviors and Experiences. Students were asked if they had experienced any harassment or bullying in the past 12 months. In 2004 and 2006 over 40% of students said yes. From 2004 to th and 11 th graders reported less harassment and bullying. Among 7 th graders, the percent who said yes rose to over 50% in 2006, then dropped the following year. The smallest percentage reporting harassment (32%) were 11 th graders in The percent of students who report getting into a fight decreases with age. A fairly consistent 6-8% of students across years and grades reported that their boyfriend or girlfriend had hit, slap, or hurt them on purpose. Over 50% of students felt safe or very safe at school throughout the study period and 76% of 11 th graders felt safe or very safe at school in Compared to students throughout California, a higher percentage of Plumas students report violence-related behaviors and experiences. A higher percentage of Plumas students also report feeling very safe at school. The following tables detail this information. 3

69 Violence Related Behavior and Experiences Plumas County Any harassment or bullying in the past 12 months? 7 th Grade 9 th Grade 11 th Grade % 47% 41% % 45% 42% % 40% 32% During the past 12 months at school have you been in a physical fight? 7 th Grade 9 th Grade 11 th Grade % 33% 18% % 27% 20% % 26% 15% During the past 12 months, did your boyfriend or girlfriend ever hit, slap, or physically hurt you on purpose? 7 th Grade 9 th Grade 11 th Grade % 8% 7% % 6% 6% % 7% 6% Feels very safe or safe at school 7 th Grade 9 th Grade 11 th Grade % 55% 69% % 58% 64% % 57% 76% Currently belong to a gang? 7 th Grade 9 th Grade 11 th Grade 2004 ** ** ** % 14% 8% % 12% 12% Source: California Healthy Kids Survey, California Department of Education (Safe and Healthy Kids Program Office) and WestEd (Health and Human Development Department). 4

70 Violence-Related Behaviors and Experiences Plumas County and California th Grade % 9 th Grade % 11 th Grade % Plumas CA Plumas CA Plumas CA During the past 12 months at school, have you been: harassed because of race ethnicity, gender, sexual orientations, or 40% 31% 33% 27% 25% 22% disability? in a physical fight? 37% 32% 26% 25% 15% 23% afraid of being beaten up? 32% 29% 22% 22% 7% 15% During the past 12 months on school property, did you carry any weapon 18% 10% 23% 13% 16% 13% (gun, knife, or club)? Feel very safe at school 22% 18% 26% 16% 22% 20% Consider yourself a member of a gang 16% 9% 12% 8% 12% 8% Source: California Healthy Kids Survey, California Department of Education (Safe and Healthy Kids Program Office) and WestEd (Health and Human Development Department). California Healthy Kids Survey: Plumas Unified, Secondary, Technical Report, Table A9.2, p 51. Alcohol, Cigarette, or Drug Use. The California Healthy Kids Survey asks kids if they have ever used a variety of substances, and then if they used that substance within the past 30 days (current use.) The most commonly used drug among Plumas Unified School District teens is alcohol, with over three-quarters of 11 th graders reporting that they had ever used alcohol and about half of 11 th graders reporting current use. About half of 11 th graders have ever used marijuana, but less than a third (28-29%) currently use. Cigarettes show increasing use across age, with 11 th graders more likely to report ever or currently smoking cigarettes. Inhalant use is relatively rare. A higher percentage of Plumas students report having ever used alcohol, cigarette, and drugs than California students. The largest discrepancies are in alcohol and marijuana, with Plumas students starting use at earlier ages. Among those who currently use, Plumas 9 th and 11 th graders report more alcohol and marijuana use than California 9 th and 11 th graders and less cigarette and inhalant use. The following table details this information. 5

71 Plumas County Student Drug and Alcohol Use Ever Used Used in Past 30 Days (Current Use) 7th Grade 9th Grade 11th Grade 7th Grade 9th Grade 11th Grade Alcohol % 53% 78% 13% 35% 48% % 61% 76% 16% 30% 50% % 65% 77% 19% 37% 52% Cigarettes % 39% 48% 3% 11% 18% % 37% 45% 6% 12% 20% % 35% 56% 5% 15% 21% Inhalants % 9% 12% 2% 4% 4% % 14% 12% 4% 1% 2% % 13% 16% 1% 2% 3% Marijuana % 32% 54% 5% 15% 28% % 31% 51% 6% 17% 28% % 35% 50% 3% 19% 29% Source: California Healthy Kids Survey, California Department of Education (Safe and Healthy Kids Program Office) and WestEd (Health and Human Development Department). Lifetime and Current Alcohol, Cigarette, and Drug Use Plumas and California, th Grade % 9 th Grade % 11 th Grade % Plumas CA Plumas CA Plumas CA During your life did you ever smoke a cigarette? 10% 7% 31% 20% 44% 34% drink alcohol? 32% 24% 65% 47% 77% 66% use inhalants? 10% 11% 13% 14% 16% 15% smoke marijuana 11% 9% 35% 25% 50% 49% During the past 30 days, did you smoke a cigarette? 5% 6% 15% 11% 21% 17% drink alcohol? 19% 15% 37% 24% 52% 42% use inhalants? 1% 5% 2% 7% 3% 7% smoke marijuana 3% 7% 19% 15% 29% 24% Source: California Healthy Kids Survey, California Department of Education (Safe and Healthy Kids Program Office) and WestEd (Health and Human Development Department). California Healthy Kids Survey: Plumas Unified, Secondary, Technical Report, Table A9.1, p 49. 6

72 Mental Health. Students were asked the depression screening question: During the past 12 months, did you ever feel so sad and hopeless almost every day for two weeks or more that you stopped doing some usual activities? The percent reporting yes varied across age groups and years. In 2004 depression rose with age, and in 2008 dropped with age. Among 7 th graders, the students reporting depression dropped slightly from 2004 to 2006, then rose to 32% in 2008, higher than the California percentage of 29%. Among 9 th graders, the percentage reporting yes rose to 35% in 2006 and dropped back to below 2004 level in Among 11 th graders the percentage reporting yes has steadily dropped from 37% in 2004 to 31% in 2006 and 26% in The following chart shows percentages for Plumas County and for California. Mental Health During the past 12 months, did you ever feel so sad and hopeless almost every day for two weeks or more that you stopped doing some usual activities? (Percent yes) California Plumas 7th Grade 9th Grade 11th Grade 7th Grade 9th Grade 11th Grade 24% 23% 32% 31% 35% 30% 37% 31% 26% 28% 28% 29% 32% 31% 32% 33% 33% 33% 0% 5% 10% 15% 20% 25% 30% 35% 40% Source: California Healthy Kids Survey, California Department of Education (Safe and Healthy Kids Program Office) and WestEd (Health and Human Development Department). Assets for Resiliency and Youth Development. Resilience research has identified caring relationships, high expectations, and meaningful participation as protective factors associated with positive youth development. Caring relationships are foundational for child and youth development. High expectations coupled with caring relationships are associated with academic and life success. High expectations lead to acknowledgment of children and youth as valued 7

73 participants in families and school. Children and youth who are valued have more opportunities to participate, take responsibility, and be heard in decision-making situations. These opportunities lead to learning autonomy. In combination these assets are predictors of healthy outcomes. In 2008, more Plumas students scored high in the protective factors of having caring relationships, high expectations, and meaningful participation in the school environment compared to California. Within in the County, most (57% to 80%) Plumas Unified School District students scored higher on having caring relationships, high expectations, and meaningful participation at home or in the community than in the school environment. Students report fewer protective factors at school than in the community. The following table details the percent of Plumas students who scored high, medium, or low in external assets. Summary of External Assets Percent of students scoring Grade 7 Grade 9 Grade 11 High, Moderate, ad Low in Assets (%) H M L H M L H M L School Environment Total Assets 32% 57% 11% 29% 56% 14% 48% 44% 9% Caring Relationships: Adult in School 43% 51% 6% 31% 55% 14% 43% 52% 5% High Expectations: Adult in School 61% 35% 4% 44% 49% 7% 51% 48% 1% Meaningful Participation 18% 55% 27% 16% 50% 34% 17% 65% 18% Community Environment Total Assets 64% 31% 5% 76% 18% 6% 80% 18% 2% Caring Relationships: Adult in Community 64% 29% 7% 76% 16% 8% 71% 23% 3% High Expectations: Adult in Community 69% 25% 6% 76% 18% 6% 71% 24% 2% Meaningful Participation 60% 27% 13% 57% 34% 10% 61% 36% 3% Source: California Healthy Kids Survey, California Department of Education (Safe and Healthy Kids Program Office) and WestEd (Health and Human Development Department). California Healthy Kids Survey: Plumas Unified, Secondary, Technical Report, Core Module A, Table A3.1, p 5. Protective Factors High Level of External Assets at School Plumas and California, th Grade % 9 th Grade % 11 th Grade % Plumas CA Plumas CA Plumas CA Total Assets 32% 31% 29% 27% 48% 28% Caring Relationships: Adult in School 43% 31% 31% 28% 43% 29% High Expectations: Adult in School 61% 45% 44% 39% 51% 38% Meaningful Participation 18% 16% 16% 13% 17% 15% Source: California Healthy Kids Survey, California Department of Education (Safe and Healthy Kids Program Office) and WestEd (Health and Human Development Department). California Healthy Kids Survey: Plumas Unified, Secondary, Technical Report, Table A9.2, p 51. 8

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75 SOCIAL SERVICES TRENDS Quarter Ending: June 30, 2011 Social Services Trends is a quarterly report to the Plumas County Board of Supervisors and members of the public. This report provides case counts, application data, referrals for services and other workload information in the Department of Social Services. This edition of Trends includes case counts and workload data for the threemonth quarter that ended June 30, The Department welcomes questions regarding the information contained in this report or about our programs and services. Additional information regarding our programs is available by calling (530) or by accessing the County web site at I. WELFARE TO WORK & PUBLIC ASSISTANCE DIVISION A. APPLICATIONS RECEIVED While applications for assistance (CalWORKs, CalFresh, Medi-Cal) continue to be received in unprecedented numbers the trend has been downward since January when we received 362 applications, an historic high count. For thirty-three consecutive months, the application count has exceeded 200 per month with the exception of May, 2010 when applications were closed five days while computer conversion occurred. Applications - All Assistance Programs J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J Number Received by Month Average (263) 1

76 CONTINUING CASES (1). Cash Assistance (AFDC/CalWORKs). The count for CalWORKs has begun to creep downward ever so slightly. There has been an expectation that economic conditions would eventually turn and this trend may signal the beginning of it. That said, the CalWORKs average case count is still about 25% above the average just two years ago. We have continued to believe that economic recovery will be a very slow process for Plumas citizens. As has been reported to the Board, Plumas Work Participation Rate is one of the best in the state. A family applying for CalWORKs cash assistance must prove that they are residents of Plumas County. In cases where residency may be in doubt, the Department operates an early fraud detection program where our Welfare Fraud Investigator may make a home visit prior to assistance being granted. Average Monthly Caseload 2008/ / / AFDC/CalWORKs Open Cases at End of Month / / / / / / / /2011 2

77 (2). Food Stamp Assistance A. Case Count The depth of the economic recession and the slowness of recovery continue to be reflected in CalFresh (Foodstamp) case count which once again achieved an historic high count with 622 cases in May. There are some signs now that we may have reached the peak of the growth as summer tourism has increased employment opportunities. That said, average caseload growth is currently at almost 80% over a two year period. As is discussed in the prior CalWORKs section, applicants for Foodstamps must be residents of Plumas County in order to receive assistance. Average Monthly Caseload 2008/ / / Food Stamp Open Cases at End of Month / / / / / / /2010 3

78 B. Foodstamp Dollar Value On average, an eligible household receives about $320 in CalFresh (Foodstamp) benefits per month. These benefits are intended to supplement food purchasing power. In just over a two and a half year period the value of CalFresh assistance has more than doubled. As with the case count the value of benefits issued is being driven by the recessionary economy. Many of the people we see have had longer term connections with the labor force. As has been reported elsewhere by the Department, about 67% of the total Foodstamp benefits issued are spent at local grocery outlets. Foodstamp Dollar Value Jun-11 Apr-11 Feb-11 Dec-10 Oct-10 Aug-10 Jun-10 Apr-10 Feb-10 Dec-09 Oct-09 Aug-09 Jun-09 Apr-09 Feb-09 Dec-08 $130,499 $109,371 $107,008 $103,402 $143,925 $137,198 $137,271 $136,959 $157,075 $153,281 $158,754 $176,950 $167,167 $165,726 $169,209 $200,295 $203,243 $197,365 $204,216 Oct-08 $91,123 Aug-08 $79,643 $0 $50,000 $100,000 $150,000 $200,000 $250,000 4

79 (3). Medi-Cal. The Department is beginning to see some evidence that we may have achieved a short term (or perhaps longer term) plateau for the Medi-Cal case count. While It remains to be seen whether the flatter profile of the past few months remains, we have believed that at some point the growth that has been so prevalent for the past three years would eventually flatten out. Poor economic conditions, the lack of employer provided insurance and increased focus on health care and health insurance reform at the federal level have been factors in the pattern of growth in this program. As with other assistance programs an applicant must be a resident of Plumas County and a resident of California to qualify for Medi-Cal. Average Monthly Caseload 2008/ / / Medi-Cal Open Cases at End of Month / / / / / / /2010 5

80 (4). County Medical Services Program (CMSP). The County Medical Services Program (CMSP) meets the mandate to provide care for medically indigent persons who are the County s responsibility under Section of the Welfare and Institutions Code. An applicant must be a resident of Plumas County to receive CMSP benefits. As has been reported previously in Trends the CMSP case count will rise proportionately with an increase in Foodstamp cases because many Foodstamp recipients are eligible for CMSP and have a medical need at the time of their application. Average Monthly Caseload 2008/ / / CMSP Cases - End of Month / / / / / / / / / / / / / /2011 6

81 II. SOCIAL SERVICES DIVISION A. Child Welfare Services The Emergency Response component of Child Protective Services averages in the range of about 16 requests per month. During the most recent twelve months, investigations have been running right at or slightly below average. As the Department has noted previously, we have continued to experience significant numbers of cases where the precipitating factors leading to abuse and neglect are associated with substance abuse, in particular methamphetamine but also alcohol abuse. 40 CPS Investigations , 2010, Thirty-Six Months J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J 8 Investigations Average (16) 7

82 B. Children in the Child Welfare Services System The goal of the Child Welfare System is first and foremost to secure a safe environment for children so that they are able to remain in or be quickly returned to their own home. The thirty-six month trend for children who are in our system projected downward and more recently has leveled off. Children in CWS System Jan Mar May July Sept Nov Jan Mar May July Sept Nov Jan Mar May 8

83 C. Adult Protective Services The average number of referrals for this program tends to be in the range of about 25 referrals per quarter. The most recent two quarters have had uncharacteristically low referral levels. We would expect that if trends stay true to the past, that we could expect an increase in the referral level during the next three months. Referrals from financial institutions regarding suspicious circumstances connected with an elderly or disabled person s bank account have continued to account for many of the referrals we receive. Adult Protective Services Referrals Referrals by Quarter 9