Skip directly to search Skip directly to A to Z list Skip directly to site content
CDC Home

Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. Type 508 Accommodation and the title of the report in the subject line of e-mail.

Surveillance for Certain Health Behaviors Among States and Selected Local Areas — United States, 2010

Fang Xu, PhD1,2

Machell Town, PhD1

Lina S. Balluz, ScD1

William P. Bartoli, MS1,2

Wilmon Murphy1,2

Pranesh P. Chowdhury, MD1

William S. Garvin1

Carol Pierannunzi, PhD1

Yuna Zhong, MD1,2

Simone W. Salandy, PhD1,2

Candace K. Jones, MA1,2

Carol A. Crawford, PhD1

1Division of Behavioral Surveillance, Office of Surveillance, Epidemiology, and Laboratory Services, CDC

2Northrop Grumman Corporation, Atlanta, GA

Corresponding author: Carol A. Crawford, PhD, Division of Behavioral Surveillance, Office of Surveillance, Epidemiology, and Laboratory Services, CDC. Telephone: 404-498-6023; E-mail: cdg7@cdc.gov.

Abstract

Problem: Chronic diseases (e.g., heart disease, stroke, cancer, and diabetes) are the leading causes of morbidity and mortality in the United States. Engaging in healthy behaviors (e.g., quitting smoking and tobacco use, being more physically active, and eating a nutritious diet) and accessing preventive health-care services (e.g., routine physical checkups, screening for cancer, checking blood pressure, testing blood cholesterol, and receiving recommended vaccinations) can reduce morbidity and mortality from chronic and infectious disease and lower medical costs. Monitoring and evaluating health-risk behaviors and the use of health services is essential to developing intervention programs, promotion strategies, and health policies that address public health at multiple levels, including state, territory, metropolitan and micropolitan statistical area (MMSA), and county.

Reporting Period: January–December 2010.

Description of the System: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit–dialed telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services and practices related to the leading causes of death and disabilities in the United States. This report presents results for 2010 for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, Guam, the U.S. Virgin Islands, 192 MMSAs, and 302 counties.

Results: In 2010, the estimated prevalence of high-risk health behaviors, chronic diseases and conditions, access to health care, and use of preventive health services varied substantially by state and territory, MMSA, and county. In the following summary of results, each set of proportions refers to the range of estimated prevalence for the disease, condition, or behaviors, as reported by survey respondents. Adults reporting good or better health: 67.9%–89.3% for states and territories, 72.2%–92.1% for MMSAs, and 72.8%–95.8% for counties. Adults with health-care coverage: 69.4%–95.7% for states and territories, 45.7%–97.0% for MMSAs, and 45.7%–97.2% for counties. Adults who had a dental visit in the past year: 57.2%–81.7% for states and territories, 47.1%–83.5% for MMSAs, and 47.1%–88.2% for counties. Adults aged ≥65 years having had all their natural teeth extracted (edentulism): 7.4%–36.0% for states and territories, 4.8%–34.8% for MMSAs, and 2.4%–39.3% for counties. A routine physical checkup during the preceding 12 months: 53.8%–80.0% for states and territories, 49.5%–82.6% for MMSAs, and 49.5%–85.3% for counties. Influenza vaccination received during the preceding 12 months among adults aged ≥65 years: 26.9%–73.4% for states and territories, 51.7%–77.1% for MMSAs, and 49.3%–87.8% for counties. Pneumococcal vaccination ever received among adults aged ≥65 years: 24.7%–74.0% for states and territories, 48.6%–79.9% for MMSAs, and 47.6%–83.1% for counties. Sigmoidoscopy or colonoscopy ever received among adults aged ≥50 years: 37.8%–75.7% for states and territories, 37.3%–79.9% for MMSAs, and 37.3%–82.5% for counties. Blood stool test received during the preceding 2 years among adults aged ≥50 years: 8.5%–27.0% for states and territories, 6.7%–51.3% for MMSAs, and 6.8%–57.2% for counties. Women who reported having had a Papanicolaou test during the preceding 3 years: 67.8%–88.9% for states and territories, 63.3%–91.2% for MMSAs, and 63.2%–95.7% for counties. Women aged ≥40 years who had a mammogram during the preceding 2 years: 63.8%–83.6% for states and territories, 60.3%–86.2% for MMSAs, and 59.3%–89.7% for counties. Current cigarette smokers: 5.8%–26.8% for states and territories, 5.8%–28.5% for MMSAs, and 5.9%–29.8% for counties. Binge drinking during the preceding month: 6.6%–21.6% for states and territories, 3.6%–23.0% for MMSAs, and 3.8%–24.0% for counties. Heavy drinking during the preceding month: 2.0%–7.2% for states and territories, 1.0%–10.0% for MMSAs, and 1.0%–14.2% for counties. Adults reporting no leisure-time physical activity: 17.5%–42.3% for states and territories, 13.1%–37.6% for MMSAs, and 8.5%–39.0% for counties. Adults who were overweight: 32.6%–40.7% for states and territories, 28.5%–42.5% for MMSAs, and 27.2%–46.4% for counties. Adults aged ≥20 years who were obese: 22.1%–35.0% for states and territories, 17.1%–42.1% for MMSAs, and 13.3%–42.1% for counties. Adults with current asthma: 5.2%–11.1% for states and territories, 3.4%–14.5% for MMSAs, and 3.3%–14.6% for counties. Adults with diagnosed diabetes: 5.3%–13.2% for states and territories, 4.6%–15.4% for MMSAs, and 2.6%–18.8% for counties. Adults with limited activities because of physical, mental or emotional problems: 10.8%–28.2% for states and territories, 13.5%–38.3% for MMSAs, and 11.7%–32.0% for counties. Adults using special equipment because of any health problem: 2.8%–10.6% for states and territories, 4.5%–15.5% for MMSAs, and 1.3%–15.5% for counties. Adults aged ≥45 years who have had coronary heart disease: 5.3%–16.7% for states and territories, 6.5%–19.6% for MMSAs, and 4.9%–19.6% for counties. Adults aged ≥45 years who have had a stroke: 2.4%–7.1% for states and territories, 2.3%–8.8% for MSMAs, and 1.7%–8.8% for counties.

Interpretation: The findings in this report indicate substantial variations in the health-risk behaviors, chronic diseases and conditions, access to health-care services, and the use of the preventive health services among U.S. adults at the state and territory, MMSA, and county levels. Healthy People 2010 (HP 2010) objectives were established to monitor health behaviors, conditions, and the use of preventive health services for the first decade of the 2000s. The findings in this report indicate that many of the HP 2010 objectives were not achieved by 2010. The findings underscore the continued need for surveillance of health-risk behaviors, chronic diseases, and conditions and of the use of preventive health-care services.

Public Health Action: Local and state health departments and federal agencies use BRFSS data to identify populations at high risk for certain health-risk behaviors, chronic diseases, and conditions and to evaluate the use of preventive health-care services. BRFSS data also are used to direct, implement, monitor, and evaluate public health programs and policies that can lead to a reduction in morbidity and mortality from chronic conditions and corresponding health-risk behaviors.

Introduction

Chronic diseases (e.g., heart disease, cancer, stroke, and diabetes) are the leading causes of morbidity and mortality in the United States (1,2). Engaging in healthy behaviors (e.g., quitting smoking and tobacco use, being more physically active, and eating a nutritious diet) and accessing preventive health-care services (e.g., routine physical checkups, screening for cancer, checking blood pressure, testing blood cholesterol, and receiving recommended vaccinations) can reduce morbidity and mortality from chronic and infectious disease and lower medical costs (3). Ongoing state-based surveillance is essential to identify health issues and disparities and to design, implement, and evaluate health programs and policies; surveillance data indicate that the estimated prevalence of health-risk factors, chronic conditions, and use of preventive services varies substantially across the United States (4,5).

The Behavioral Risk Factor Surveillance System (BRFSS) is the world's largest ongoing telephone survey. Since 1984, CDC has assisted state and territorial health departments in conducting the BRFSS survey to track health conditions and health-risk behaviors. BRFSS is the one of the main sources of health information in the United States on chronic disease conditions, health-risk behaviors, emerging health problems, and the use of preventive health services. The data are used to set health goals and monitor public health progress at national, state, and local levels. Since 2002, the sufficient sample size in BRFSS has facilitated analysis of prevalence estimates from selected metropolitan and micropolitan statistical areas (MMSAs), metropolitan divisions, and their counties.

Healthy People objectives represent national goals to prevent diseases, decrease morbidity and mortality, and promote health. These objectives include specific objectives to be achieved by the end of each decade and can be used to monitor and develop health promotions and disease prevention programs at the state and local levels (6). Healthy People 2010 (HP 2010) objectives were based on several national data sources. This analysis used BRFSS data to track health-risk behaviors during 2010 to determine if HP 2010 objectives were met by states and localities. Healthy People 2020 (HP 2020) is available at http://www.healthypeople.gov/2020/topicsobjectives2020/default.aspx. Many of the HP 2020 objectives are continued from HP 2010. BRFSS provides data for state and local areas that might not be available from national data sources for these objectives. This report contains comparisons between 2010 BRFSS data and certain HP 2010 objectives related to chronic diseases, health-risk behaviors, and use of preventive health care services.

Methods

BRFSS is a cross-sectional, random-digit–dialed, state-based survey that includes annual data on approximately 400,000 adults aged ≥18 years who completed interviews (7). BRFSS uses a multistage sampling design to select a representative sample of the noninstitutionalized civilian population in each state and territory. Details of the validity and reliability of the BRFSS survey methodology have been described previously (8). This report provides comparable unweighted sample size, weighted prevalence estimates with standard errors and 95% confidence intervals for prevalence of selected risk behaviors, chronic conditions, use of preventive health-care services by states and territories, MMSAs, and counties.

Questionnaire

The standard BRFSS questionnaire comprises three parts: 1) core questions, 2) optional modules, and 3) state-added questions. Data collectors from all states, the District of Columbia, and U.S. territories ask the same core questions. The 2010 core questions included sections on demographics, health status, number of healthy days, health-care access, number of days feeling unrested, exercise, diagnosed diabetes, oral health, asthma, cardiovascular disease prevalence, disability (limited activity and use of special equipment), tobacco use, alcohol consumption, falls, seat belt use, drinking and driving, women's health, cancer screenings (colorectal cancer and breast cancer), immunization (seasonal influenza and pneumococcal vaccination), human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), emotional support, and life satisfaction. Optional modules were chosen on the basis of the needs of state health departments and specific state programs to address specific health-related topics. State-added questions were designed to address state-specific health issues or track a state's health objectives.

In 2010, the following optional modules were included to address specific health issues: diagnosed prediabetes (35 states), diagnosed diabetes (38 states), healthy day–related symptoms (one state), visual impairment and access to eye care (five states), excess sun exposure (four states), inadequate sleep (nine states), family planning (five states), adult asthma history (five states), arthritis burden (five states), high-risk/health-care worker (three states), shingles (six states), adult tetanus diphtheria (four states), adult human papilloma virus (HPV) (five states), cancer survivorship (10 states), caregiver (two states), reactions to race (three states), anxiety and depression (13 states), social context (two states), general preparedness (two states), veterans' health (two states), adverse childhood experience (five states), random child selection (42 states), childhood asthma prevalence (34 states), childhood immunization (24 states), and child HPV (six states).

To compare 2010 BRFSS results with the HP 2010 objectives, this report focuses on six areas: 1) health status indicators (reported good or better health, health-care coverage, and oral health), 2) preventive practices (routine checkup, influenza vaccination, and pneumococcal vaccination for persons aged ≥65 years), 3) cancer screening (sigmoidoscopy or colonoscopy and blood stool test for persons aged ≥50 years and a Papanicolaou [Pap] test and a mammogram for women aged ≥40 years, 4) health-risk behaviors (current smoking, binge drinking, heavy drinking, and no leisure-time physical activity), 5) chronic conditions and disabilities (overweight or obesity for persons aged ≥20 years, current asthma, diagnosed diabetes, limited activities, and use of special equipment because of physical, mental, or emotional problems), and 6) cardiovascular disease (coronary heart disease and stroke for persons aged ≥45 years). The details are in the 2010 BRFSS questionnaire; all the other documents are available on the BRFSS website (9).

Data Collection and Processing

Since 2007, BRFSS data have been collected monthly in all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, the U.S. Virgin Islands, and Guam. Trained interviewers administer the BRFSS survey using a computer-assisted telephone interviewing system. After the interview is conducted, data are submitted to CDC for editing, processing, weighting, reliability-checking, and analysis.

Data Weighting

At the end of the survey year, CDC edits and aggregates the monthly data files to create yearly samples for each state and territory. Each sample is weighted to the respondent's probability of selection and the age-, sex-, and race/ethnicity-specific distribution of the population using 2010 postcensus projections for each state and territory. State-level weights are adjusted to produce MMSA- and county-level weights. These sampling weights are used to calculate BRFSS state-, territory-, MMSA-, and county-level prevalence estimates. MMSAs were defined by the Office of Management and Budget. Respondents were assigned to a particular MMSA on the basis of their Federal Information Processing Standards (FIPS) county code. Aggregated data at the state level were used to produce national prevalence estimates. Detailed weighting and analytic methodologies have been documented (10).

Statistical Analyses

Prevalence estimates, standard errors, and 95% confidence intervals were computed on the basis of a statistical analysis using weights and strata to account for the complex survey design. To avoid presenting unstable estimates, statistics for certain MMSAs and counties were not reported if the unweighted sample size for the denominator was <50 or the half-width of the 95% confidence interval was >10. MMSAs were included only if there were ≥500 respondents and ≥19 respondents in all the final weighting classes and counties. Within each MMSA or county, weighting classes were based on age and sex cross-classification totals or age, sex, and race cross-classification totals. Responses coded as "do not know" or "refused" were excluded from the analysis. The analysis was conducted using SAS-Callable SUDAAN Version 10.0.1 (Research Triangle Institute, Research Triangle Park, North Carolina).

Results

In 2010, a total of 54 states and territories, 192 MMSAs and 302 counties with sufficient sample sizes were reported. A total of 451,075 respondents completed (n = 425,013) or partially completed (n = 26,062) interviews (range: 784 in Guam to 35,109 in Florida; median: 6,898). On the basis of the Council of American Survey and Research Organizations (CASRO) standards (11), the 2010 BRFSS cooperation rate (defined as the proportion of respondents interviewed of all eligible units in which a respondent was contacted and selected) ranged from 56.8% in California to 86.1% in Minnesota (median: 76.9%). The 2010 BRFSS CASRO rate (defined as the number of complete and partial interviews divided by an estimate of the number of eligible units) ranged from 39.1% in Oregon to 68.8% in Nebraska (median: 54.6%) (12). This report presents weighted prevalence estimates with 95% confidence intervals at the state, MMSA, and county levels in the following sections.

Health Status Indicators

Health Status

Respondents were asked to rate their general health as excellent, very good, good, fair, or poor. The answers were then categorized into two groups: those who reported that their health was excellent, very good, or good and those who reported that their health was fair or poor. In 2010, the estimated prevalence of self-reported good or better health among adults aged ≥18 years ranged from 67.9% in Puerto Rico to 89.3% in Alaska (median: 85.0%) (Table 1). Among selected MMSAs, the self-reported prevalence estimate of good or better health ranged from 72.2% in Huntington-Ashland, West Virginia-Kentucky-Ohio to 92.1% in Cambridge-Newton-Framingham, Massachusetts (median: 85.2%) (Table 2). Among selected counties, the estimated prevalence of self-reported good or better health ranged from 72.8% in Hinds County, Mississippi, to 95.8% in Douglas County, Colorado (median: 85.6%) (Table 3).

Health-Care Coverage

Health-care coverage was defined as any kind of coverage including health insurance, prepaid plans (e.g., health maintenance organizations), or government plan (e.g., Medicare or Medicaid). In 2010, the estimated prevalence of health-care coverage among adults aged ≥18 years ranged from 69.4% in the U.S. Virgin Islands to 95.7% in Massachusetts (median: 85.0%) (Table 4). Among selected MMSAs, the estimated prevalence ranged from 45.7% in McAllen-Edinburg-Mission, Texas, to 97.0% in Cambridge-Newton-Framingham, Massachusetts (median: 85.9%) (Table 5). Among selected counties, the estimated prevalence ranged from 45.7% in Hidalgo County, Texas, to 97.2% in Norfolk County, Massachusetts (median: 87.2%) (Table 6).

Oral Health

Dental Visit

Time since the most recent visit to a dentist or a dental clinic for any reason was measured. In 2010, the estimated prevalence of a dental visit within the previous year among adults aged ≥18 years ranged from 57.2% in Oklahoma to 81.7% in Massachusetts (median: 69.7%) (Table 7). Among selected MMSAs, the estimated prevalence ranged from 47.1% in Arcadia, Florida, to 83.5% in Fargo, North Dakota-Minnesota (median: 70.2%) (Table 8). Among selected counties, the estimated prevalence ranged from 47.1% in DeSoto County, Florida, to 88.2% in Middlesex County, Connecticut (median 72.4%) (Table 9).

All Natural Teeth Extracted

Oral health status was measured as the percentage of adults aged ≥65 years who had all of their permanent teeth removed (edentulism) because of tooth decay or gum diseases. In 2010, the estimated prevalence ranged from 7.4% in Hawaii to 36.0% in West Virginia (median: 17.1%) (Table 10). Among selected MMSAs, the estimated prevalence ranged from 4.8% in San José-Sunnyvale-Santa Clara, California, to 34.8% in Charleston, West Virginia (median: 15.2%) (Table 11). Among selected counties, the estimated prevalence ranged from 2.4% in Santa Clara County, California, to 39.3% in Sullivan County, Tennessee (median: 14.4%) (Table 12).

Preventive Practices

Recent Routine Physical Checkup

A routine physical checkup was defined as a visit to a doctor for a general physical examination rather than for a specific injury, illness or condition. A recent routine checkup was categorized as one that occurred within the preceding 12 months. In 2010, the estimated prevalence of having a recent routine checkup among adults aged ≥18 years ranged from 53.8% in Oregon to 80.0% in Massachusetts (median: 66.7%) (Table 13). Among selected MMSAs, the estimated prevalence ranged from 49.5% in Eugene-Springfield, Oregon, to 82.6% in Boston-Quincy, Massachusetts (median: 67.0%) (Table 14). Among selected counties, the estimated prevalence ranged from 49.5% in Lane County, Oregon, to 85.3% in Plymouth County, Massachusetts (median: 68.0%) (Table 15).

Influenza Vaccination

In 2010, the estimated prevalence of receiving an influenza vaccination among adults aged ≥65 years during the preceding 12 months at the state level ranged from 26.9% in Puerto Rico to 73.4% in Colorado (median: 67.4%) (Table 16). Among selected MMSAs, the estimated prevalence ranged from 51.7% in Miami-Fort Lauderdale-Miami Beach, Florida, to 77.1% in Barre, Vermont (median: 67.9%) (Table 17). Among selected counties, the estimated prevalence ranged from 49.3% in Miami-Dade County, Florida, to 87.8% in Douglas County, Colorado (median: 68.6%) (Table 18).

Pneumococcal Vaccination

In 2010, the estimated prevalence of ever having received a pneumonia injection or pneumococcal vaccine among adults aged ≥65 years ranged from 24.7% in Puerto Rico to 74.0% in Oregon (median: 68.6%) (Table 19). Among selected MMSAs, the estimated prevalence ranged from 48.6% in Laredo, Texas, to 79.9% in Naples-Marco Island, Florida (median: 70.0%) (Table 20). Among selected counties, the estimated prevalence ranged from 47.6% in Hudson County, New Jersey, to 83.1% in Potter County, Texas (median: 70.6%) (Table 21).

Cancer Screening

Sigmoidoscopy or Colonoscopy

Sigmoidoscopy and colonoscopy are examinations in which a tube is inserted into the rectum to view the colon and rectum for the signs of precancerous polyps and colorectal cancer. In 2010, the estimated prevalence of ever having sigmoidoscopy or colonoscopy among adults aged ≥50 years ranged from 37.8% in Guam to 75.7% in Connecticut (median: 64.2%) (Table 22). Among selected MMSAs, the estimated prevalence ranged from 37.3% in Laredo, Texas, to 79.9% in Fargo, North Dakota-Minnesota (median: 67.7%) (Table 23). Among selected counties, the estimated prevalence ranged from 37.3% in Webb county, Texas, to 82.5% in Washington County, Rhode Island (median: 68.8%) (Table 24).

Blood Stool Test

A blood stool test is one in which a special kit is used to determine whether the stool contains blood. In 2010, the estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years ranged from 8.5% in Guam to 27.0% in California (median: 16.8%) (Table 25). Among selected MMSAs, the estimated prevalence ranged from 6.7% in Provo-Orem, Utah, to 51.3% in Tallahassee, Florida (median: 17.6%) (Table 26). Among selected counties, the estimated prevalence ranged from 6.8% in Utah County, Utah, to 57.2% in Leon County, Florida (median: 17.8%) (Table 27).

Papanicolaou Test

A Papanicolaou (Pap) test is a test for cancer of the cervix. In 2010, the estimated prevalence of women aged ≥18 years who had a Pap test during the preceding 3 years ranged from 67.8% in Guam to 88.9% in Massachusetts (median: 81.0%) (Table 28). Among selected MMSAs, the estimated prevalence ranged from 63.3% in Provo-Orem, Utah, to 91.2% in Peabody, Massachusetts (median: 82.4%) (Table 29). Among selected counties, the estimated prevalence ranged from 63.2% in Utah County, Utah, to 95.7% in Johnston County, North Carolina (median: 83.1%) (Table 30).

Mammogram

A mammogram is a radiograph of each breast to test for breast cancer. The state-specific estimated prevalence of having a mammogram during the preceding 2 years among women aged ≥40 years ranged from 63.8% in Idaho to 83.6% in Massachusetts (median: 75.2%) (Table 31). Among selected MMSAs, the estimated prevalence ranged from 60.3% in Idaho Falls, Idaho, to 86.2% in Bangor, Maine (median: 76.5%) (Table 32). Among selected counties, the estimated prevalence ranged from 59.3% in Tooele County, Utah, to 89.7% in Queen Anne's County, Maryland (median: 77.1%) (Table 33).

Health-Risk Behaviors

Current Smoking

Current smoking was defined as having smoked at least 100 cigarettes in one's lifetime and reporting smoking every day or some days at the time of survey participation. The estimated prevalence of current smoking among adults aged ≥18 years ranged from 5.8% in the U.S. Virgin Islands to 26.8% in West Virginia (median: 17.3%) (Table 34). Among selected MMSAs, the estimated prevalence ranged from 5.8% in Provo-Orem, Utah, to 28.5% in Tuscaloosa, Alabama (median: 17.4%) (Table 35). Among selected counties, the estimated prevalence ranged from 5.9% in Utah County, Utah, to 29.8% in Valencia County, New Mexico (median: 16.1%) (Table 36).

Binge Drinking

Binge drinking was defined for men aged ≥18 years as having on average five or more drinks during one occasion and for women aged ≥18 years as having on average four or more drinks on one occasion during the preceding month. In 2010, the estimated prevalence of binge drinking among adults aged ≥18 years ranged from 6.6% in Tennessee to 21.6% in Wisconsin (median: 15.1%) (Table 37). Among selected MMSAs, the estimated prevalence ranged from 3.6% in Knoxville, Tennessee, to 23.0% in Kappa, Hawaii, and Key West-Marathon, Florida (median: 14.7%) (Table 38). Among selected counties, the estimated prevalence ranged from 3.8% in Utah County, Utah, to 24.0% in Suffolk County, Massachusetts (median: 15.1%) (Table 39).

Heavy Drinking

Heavy drinking was defined for men aged ≥18 years as having, on average, more than two drinks per day and for women aged ≥18 years as having, on average, more than one drink per day during the preceding month. In 2010, the estimated prevalence of heavy drinking among adults aged ≥18 years ranged from 2.0% in Tennessee to 7.2% in Vermont (median: 5.0%) (Table 40). Among selected MMSAs, the estimated prevalence ranged from 1.0% in Nashville-Davidson-Murfreesboro, Tennessee, to 10.0% in Key West-Marathon, Florida (median: 5.1%) (Table 41). Among selected counties, the estimated prevalence ranged from 1.0% in Tolland County, Connecticut, to 14.2% in Hampshire County, Massachusetts (median: 5.0%) (Table 42).

No Leisure-Time Physical Activity

No leisure-time physical activity was defined as nonparticipation in any physical activities (other than what is done during one's regular job) or exercises, such as running, calisthenics, golf, gardening, or walking during the preceding month. In 2010, the estimated prevalence of no leisure-time physical activity among adults aged ≥18 years ranged from 17.5% in Oregon to 42.3% in Puerto Rico (median: 24.0%) (Table 43). Among selected MMSAs, the estimated prevalence ranged from 13.1% in Fort Collins-Loveland, Colorado, to 37.6% in Kingsport-Bristol, Tennessee-Virginia (median: 23.7%) (Table 44). Among selected counties, the estimated prevalence ranged from 8.5% in Douglas County, Colorado, to 39.0% in Caddo Parish, Louisiana (median: 22.8%) (Table 45).

Chronic Conditions and Disabilities

Overweight

Self-reported weight and height were used to calculate body mass index (BMI) (weight [kg]/height [m2]). Overweight was defined as BMI ≥25.0 and <30.0. In 2010, the estimated prevalence of adults aged ≥18 years who were overweight ranged from 32.6% in Guam to 40.7% in Alaska (median: 36.2%) (Table 46). Among selected MMSAs, the estimated prevalence ranged from 28.5% in Fort Collins-Loveland, Colorado, to 42.5% in Atlantic City, New Jersey (median: 36.0%) (Table 47). Among selected counties, the estimated prevalence ranged from 27.2% in Dallas County, Texas, to 46.4% in Tolland County, Connecticut (median: 36.6%) (Table 48).

Obesity

Obesity was defined as BMI ≥30 among adults aged ≥20 years to compare with HP 2010 objectives. In 2010, the estimated prevalence of adults aged ≥20 years who were obese ranged from 22.1% in Colorado to 35.0% in Mississippi (median: 28.5%) (Table 49). Among selected MMSAs, the estimated prevalence ranged from 17.1% in Bridgeport-Stamford-Norwalk, Connecticut, and Key West-Marathon, Florida, to 42.1% in Wauchula, Florida (median: 28.3%) (Table 50). Among selected counties, the estimated prevalence ranged from 13.3% in Westchester County, New York, to 42.1% in Hardee County, Florida (median: 27.4%) (Table 51).

Current Asthma

Respondents aged ≥18 years were categorized as currently having asthma if they reported having ever been told by a doctor, nurse, or other health-care professional that they had asthma and still had it during the survey. In 2010, the estimated prevalence of current asthma among adults aged ≥18 years ranged from 5.2% in Guam to 11.1% in Vermont (median: 9.0%) (Table 52). Among selected MMSAs, the estimated prevalence ranged from 3.4% in Laredo, Texas, to 14.5% in Rutland, Vermont (median: 9.0%) (Table 53). Among selected counties, the estimated prevalence ranged from 3.3% in Washington County, Arkansas, and Davidson County, Tennessee, to 14.6% in Bronx County, New York (median: 8.9%) (Table 54).

Diabetes

Diagnosed diabetes was defined as having ever been told by a doctor that respondents had diabetes, excluding gestational diabetes, pre-diabetes, or borderline diabetes. In 2010, the estimated prevalence of diagnosed diabetes among adults aged ≥18 years ranged from 5.3% in Alaska to 13.2% in Alabama (median: 8.7%) (Table 55). Among selected MMSAs, the estimated prevalence ranged from 4.6% in Gainesville, Florida, to 15.4% in Wauchula, Florida (median: 8.9%) (Table 56). Among selected counties, the estimated prevalence ranged from 2.6% in Summit County, Utah, to 18.8% in Gadsden County, Florida (median: 8.6%) (Table 57).

Limited Activities

The estimated prevalence of reported limited activities in any way because of physical, mental, or emotional problems among adults aged ≥18 years ranged from 10.8% in Guam to 28.2% in West Virginia (median: 20.8%) (Table 58). Among selected MMSAs, the estimated prevalence ranged from 13.5% in Fargo, North Dakota-Minnesota, to 38.3% in Huntington-Ashland, West Virginia-Kentucky-Ohio (median: 20.6%) (Table 59). Among selected counties, the estimated prevalence ranged from 11.7% in Cass County, North Dakota, to 32.0% in Lane County, Oregon (median: 20.3%) (Table 60).

Use of Special Equipment

Respondents were asked whether any of their health problems required them to use special equipment (cane, wheelchair, special bed, or special telephone). The estimated prevalence of use of special equipment as a result of any health problems among adults aged ≥18 years ranged from 2.8% in Guam to 10.6% in Mississippi (median: 7.5%) (Table 61). Among selected MMSAs, the estimated prevalence ranged from 4.5% in Fargo, North Dakota-Minnesota, to 15.5% in Homosassa Springs, Florida (median: 7.5%) (Table 62). Among selected counties, the estimated prevalence ranged from 1.3% in Summit County, Utah, to 15.5% in Citrus County, Florida (median: 7.4%) (Table 63).

Cardiovascular Diseases

Coronary Heart Disease

Respondents were classified as having coronary heart disease if they had ever been told by a doctor, nurse, or other health-care professional that they had coronary heart disease including heart attack (myocardial infarction) and angina. The estimated prevalence of coronary heart disease among adults aged ≥45 years ranged from 5.3% in the U.S. Virgin Islands to 16.7% in Puerto Rico (median: 10.9%) (Table 64). Among selected MMSAs, the estimated prevalence ranged from 6.5% in Honolulu, Hawaii, to 19.6% in Homosassa Springs, Florida (median: 10.7%) (Table 65). Among selected counties, the estimated prevalence ranged from 4.9% in Montgomery County, Pennsylvania, to 19.6% in Citrus County, Florida (median: 10.4%) (Table 66).

Stroke

Respondents were classified as having had a stroke if they had ever been told by a doctor, nurse, or other health-care professional that they had a history of stroke. In 2010, the estimated prevalence of stroke among adults aged ≥45 years ranged from 2.4% in the U.S. Virgin Islands to 7.1% in Oklahoma (median: 4.5%) (Table 67). Among selected MMSAs, the estimated prevalence ranged from 2.3% in Rutland, Vermont, to 8.8% in Lakeland-Winter Haven, Florida (median: 4.4%) (Table 68). Among selected counties, the estimated prevalence ranged from 1.7% in Benton County, Arkansas, and Queen Anne's County, Maryland, and Catawba County, North Carolina, to 8.8% in Polk County, Florida, and Buncombe County, North Carolina (median: 4.3%) (Table 69).

Discussion

Substantial variations exist in the estimated prevalence of health status and risk behaviors, the use of preventive practices and cancer preventions, chronic conditions, cardiovascular diseases, and disability among U.S. adults at the levels of state and territory, MMSA, and county. The geographic variations in these estimates might reflect differences in demographics, socioeconomic status, spatial variation in social desirability, state laws or local ordinances, the availability of access to health-care facilities, the use of preventive health-care services, and the coverage of preventive screenings by insurance providers. These estimates can be used by local health-care policymakers and public health advisors to identify the burdens of health risks, monitor the change in the health-risk behaviors and diseases, and implement prevention strategies. Of note, the findings in this report reflect the direct (nonmodel-based) estimation methods selected, and the use of other methods might yield different results for certain variables.

HP 2010 set out the objectives of improvement in health status and public awareness of reduction in health-risk behavior to be achieved by 2010. However, the measures of some of the variables in BRFSS might be different from the other databases used to develop the HP 2010 objectives, and therefore some of the HP 2010 objective targets might not apply directly to the BRFSS data. Overall, the findings provided in this report indicate that certain HP 2010 goals (e.g., health-care insurance coverage and vaccination against influenza and pneumococcal diseases) were not met at any state or local level.

Health Status Indicators

Health Status

Self-reported health status usually rates the participant's own general health as excellent, very good, good, fair, or poor. Although it is a simple measure, it encompasses multidimensional health conditions and behaviors including physical and mental health, activity limitation, and health behavior risks (13). The measure of the overall health has been proved to be valid (14,15). Poor self-assessed general health has been found to be linked with socioeconomic status and subsequent mortality in a U.S. multiethnic cohort (16). In this report, self-reported health status measured respondents who reported that their health was excellent, very good, or good compared with those who reported that their health was fair or poor. The estimated prevalence of good or better health varied across states, territories, MMSAs, and counties, suggesting the geographic variations in the patterns of health-care access, treatment, and severity of chronic conditions.

Health-Care Coverage

In 2009, according to the U.S. Census Bureau, 50.7 million persons in the United States were without health-care coverage (17), and in 2010, one in four adults aged 18–64 years was not insured (18). This problem affects not only persons living in poverty but also middle-class persons. Persons without health-care coverage are less likely to receive preventive services or have adequate access to health care, and the uninsured also are more likely than their insured counterparts to receive a diagnosis of advanced-stage cancer, suffer from chronic-condition complications, and require emergency care. The advanced stages of these illnesses are associated with elevated mortality rates and increased medical costs (18,19). By 2010, no state or territory, MMSAs, or county achieved the HP 2010 objective (objective no. 1-1) (6) of 100% health-care coverage among residents (Table 70).

Oral Health

Dental caries is a demineralization of the tooth caused by bacterial infection. More than 25% of children aged 2–5 years and 50% of those aged 12–15 years have tooth decay (20). Routine dental visits and treatments can help prevent and control the most common oral diseases, which are dental caries (tooth decay) and periodontal diseases. The HP 2010 objective was to increase the proportion of children and adults who use the oral health-care system each year to 56% (objective no. 21-10) (Table 70). In 2010, a total of 4.2% of MMSAs and 4.6% of counties did not meet the target. However, BRFSS data on dental visits in the past year might be underestimated because children aged <18 years were not included in the questionnaire. Periodontal disease and dental caries are the leading causes for tooth loss and edentulism (21–23). Edentulism also is associated with poor oral hygiene, lack of access to oral health care, and lower socioeconomic status (24). Persons with complete edentulism are more likely to be smokers and to face elevated risk for poor nutrition and comorbidities such as diabetes and rheumatoid arthritis (25,26). The HP 2010 objective was to reduce the percentage of persons having had all their natural teeth extracted to less than 22% among adults aged ≥65 years (objective no. 21-4) (Table 70). In 2010, a total of 16.7% of the states and territories, 14.6% of MMSAs, and 10.6% of counties did not achieve that goal.

Preventive Practices

Routine Physical Checkup

A routine physical checkup is an important tool to help maintain good health, diagnose health problems in early stages, and prevent or control chronic diseases such as hypertension, cardiovascular diseases, diabetes, or chronic obstructive pulmonary disease (COPD). Being a younger adult, being unmarried, having a lower household income, lacking health insurance, and not participating in regular physical activity usually are associated with being less likely to receive a recent routine checkup (27). In 2010, a substantial geographic variation existed in the estimated prevalence of recent routine checkups in states and territories, MMSAs, and counties. Addressing health disparity and access to health care can improve the rates of routine checkups (28).

Pneumococcal and Influenza Vaccination

Pneumococcal disease is a type of bacterial infection that can cause pneumonia. Streptococcus pneumoniae is the most common cause of community-acquired pneumonia, which is a major source of morbidity and mortality among the very young and elderly (29,30). Overall, the case-facility rate is 15%–20% (31) and 30%–40% among the elderly, especially those with chronic conditions (32–34). Influenza also is a major cause of mortality and morbidity among the same groups at high risk for pneumococcal disease: the very young, the elderly, and those with high-risk conditions. Influenza-related complications are responsible for approximately 200,000 hospitalizations every year (35). Influenza epidemics caused approximately 3,000 deaths in 1976 and approximately 49,000 deaths in 2007. During this period, 90% of influenza-caused mortality occurred among the elderly (36). Pneumococcal disease, influenza, and the medical cost caused by the diseases can be largely reduced and controlled by vaccinations, especially among the elderly population, which is a high-risk group (37,38). The HP 2010 objectives set out to increase the proportion of adults vaccinated against influenza and pneumococcal diseases to 90% among persons aged ≥65 years (objective nos. 14-29a and 14-29b) (Table 70). This direct estimate might yield different results from season-specific estimates generated by CDC's National Center for Immunization and Respiratory Diseases (39). In 2010, no state or territory, MMSA, or county achieved the objective. Strategies that continue to improve immunization rates could be helpful at state and local levels (40).

Cancer Prevention

Colorectal Cancer Screening

Colorectal cancer is the third most commonly diagnosed cancer and the third leading cause of cancer-related death in both men and women in the United States. In 2008, a total of 142,950 new cases and 52,857 deaths from colorectal cancer occurred (41). Over the last 2 decades, incidence and mortality have decreased, especially during 1998–2007, primarily because of the increase in screenings that detect and remove adenomatous polyps before cancer develops (42). The guidelines recommend that persons aged ≥50 years receive a colonoscopy, preferably a flexible sigmoidoscopy, if available, or a fecal occult blood test (43). The HP 2010 objective is to increase the number of persons who have had a fecal occult blood test within the previous 2 years to 33% (objective no. 3-12a) (Table 70). No state or territory achieved the goal in 2010; 2.1% of MMSAs and 3.6% of counties did. The target for sigmoidoscopy or colonoscopy is 50% (objective no. 3-12b) (Table 70). The goal was achieved by all states and territories except for Guam, Puerto Rico, and the U.S. Virgin Islands; all MMSAs except for Laredo, Texas, and Del Rio, Texas; and all counties except for Webb County, Texas, Val Verde County, Texas, and Passaic County, New Jersey.

Cervical Cancer Screening

Cervical cancer continues to be a public health issue with 12,410 new cases and 4,008 deaths in 2008 (44). The primary cause of cervical cancer is HPV. All women are at risk for developing cervical cancer with the highest incidence in women aged >30 years (45). Racial/ethnic and age disparities exist in the late stage of diagnosis and the incidence rate (46,47). Cervical cancer can be detected early with Pap tests. By detecting precancerous lesions, Pap tests have contributed to the decreasing incidence and mortality rates over the previous 2 decades (47). Since 2003, the rates have remained stable (42). In 2008, the age-adjusted incidence and mortality rates of cervical cancer were 8.0 and 2.6 per 100,000 females (48). Women aged ≥21 years should receive the Pap test to screen for cervical cancer at least every 3 years until age 65 years (49). The HP 2010 objective is to increase the use of Pap test within the preceding 3 years to 90% among women aged ≥18 years (objective no. 3-11b) (Table 70). In 2010, no state or territory achieved the target; 3.1% of MMSAs and 7.6% of counties achieved this goal.

Breast Cancer Screening

Breast cancer is the most commonly diagnosed cancer (excluding skin cancer) and second leading cause of cancer mortality in women. In 2008, a total of 210,203 women had breast cancer diagnosed, and 40,589 women died of this cancer (50). In 2012, an estimated 226,870 new cases of invasive breast cancer are expected to occur among women and an estimated 2,190 new cases are expected to occur among men in the United States; approximately 39,920 breast cancer-specific deaths are estimated to occur (42). There are varieties of risk factors for breast cancer. Older age is associated with the higher likelihood of having breast cancer (51). Women with a family history of breast cancer might carry genetic mutations that contribute to elevated risk for the disease (52). Mammograms are an important diagnostic tool for early detection of breast cancer. The United States Preventive Services Task Force currently recommends biennial screening mammography for women aged 50–74 years. During 1975–2000, the breast cancer specific mortality rate declined approximately 46% at least in part as a result of the use of mammograms (53). The HP 2010 objective is to increase the mammography rate to 70% (objective no. 3-13) (Table 70). In 2010, approximately 79.6% of states and territories, 87.5% of MMSAs, and 89.1% of counties achieved this goal.

Health-Risk Behaviors

Cigarette Smoking

Cigarette smoking is the leading preventable cause of disease and deaths in the United States (54,55). Many diseases (including many types of cancers, cardiovascular diseases, and COPD) are attributable to smoking (54). Cigarette smoke contains over 7,000 chemicals; hundreds of them are toxic, and many cause cancer (56). During 1965–2005, the prevalence of cigarette smoking among adults aged ≥18 years declined from 42.4% (57) to 20.9%; during 2005–2010, prevalence declined from 20.9%–19.3% (58). Smokers are more likely to be men, aged <65 years, and non-Hispanic American Indians or Alaska Natives as well as to have a low educational level and to live below the poverty level (58). The HP 2010 objective was to reduce the overall prevalence of cigarette smoking to 12% (objective no. 27-1a) (Table 70). Not all states and territories, MMSAs, or counties achieved the goal: 5.6% of states and territories, 10.9% of MMSAs, and 15.9% of counties met the goal. These findings suggest a need for continuing sustained and adequately funded tobacco control efforts at the state and local level (58,59).

Binge and Heavy Drinking

Excessive alcohol consumption, including binge and heavy drinking, is a leading preventable cause of death in the United States and accounted for an estimated average of 80,000 deaths and >2.3 million years of potential life lost (YPLL) each year during 2001–2005 (60) and for an estimated $223.5 billion in lost productivity, criminal justice costs, and health-care expenditures (61). Excessive alcohol use is a risk factor for many adverse health and social outcomes, including unintentional injuries (e.g., motor-vehicle accidents), violence, suicide, hypertension, acute myocardial infarction, certain cancers, sexually transmitted diseases, unintended pregnancy, fetal alcohol syndrome, and sudden infant death (62). The differences in binge and heavy drinking among states and territories, MMSAs, and counties might reflect cultural factors (63) and differences in state and local laws that affect the price, availability, and marketing of alcoholic beverages (64). Evidence-based population-level strategies to reduce and prevent excessive alcohol use and its related harms (e.g., measures to control access to alcohol and to increase prices) have been recommended by the Community Preventive Services Task Force (65).

No Leisure-Time Physical Activity

The risk for many chronic diseases including coronary heart disease, diabetes, arthritis, and some types of cancers can be reduced by engaging in physical activity. Physical activity also aids in weight control (66). The HP 2010 objective measures the proportion of adults aged ≥18 years who never or were unable to engage in light or moderate or vigorous exercise for at least 20 minutes. The objective is to reduce the proportion of adults aged ≥18 years engaging in no leisure-time physical activity to 20%. The 2010 BRFSS survey measured the proportion of adults aged ≥18 years who never engaged in any physical activity during the previous month. Because these two data sources used different questions and time frames to assess participation in leisure time physical activity, BRFSS prevalence estimates cannot be compared directly with the HP 2010 objective. However, BRFSS data indicate that continued efforts are required to increase the leisure-time physical activity of the population at state and territory, and local levels. In 2008, the U.S. Department of Health and Human Services published recommended amounts of physical activity for older adults, adults, children and adolescents, women during pregnancy, adults with disabilities, and persons with chronic medical conditions (66). Strategies to encourage persons to become more physically active are identified by the Community Guide (67) and by the U.S. National Physical Activity Plan (68).

Chronic Conditions

Overweight and Obesity

Recent data using participants' measured weight and height indicate that among adults aged ≥20 years, the age-adjusted prevalence of obesity (BMI ≥30) and overweight and obesity combined (BMI ≥25) are 35.7% and 68.8%, respectively (69). There are also racial and ethnic disparities in the temporal trend of prevalence of obesity in the United States (69). The prevalence of overweight and obesity remains a critical public health problem. Obesity is also an economic burden in the United States. In 2008, the associated medical cost of obesity was estimated to be $147 billion. Obesity is associated with numerous chronic conditions, diseases, and events including high blood pressure, coronary heart disease, stroke, type II diabetes, certain types of cancer, sleep apnea, osteoarthritis, infertility, and mental health conditions (70). Overweight and obesity are associated with mortality from diabetes (71). Obesity is associated with mortality from obesity-related cancers (72). A large prospective study demonstrated that obesity is strongly associated with risk for death regardless of sex, race, or ethnic group (73). The HP 2010 objective is to reduce the proportion of adults aged ≥20 years who are obese to 15% (objective no. 19-2). No state or territory or MMSA achieved this goal in 2010 (Table 70). Only three counties (Westchester County, New York; New York County, New York; and San Francisco County, California) met the target goal. However, the HP 2010 goal is based on measured weight and height whereas BRFSS is a self-reported survey. The obesity prevalence from self-reported data tends to be underestimated (74). Comprehensive strategies to improve nutrition and increase physical activity are needed and should be implemented across multiple settings and sectors to address the high prevalence of overweight and obesity and their public health burden (75,76).

Asthma

Asthma is a chronic respiratory disease that affects persons of all ages and is characterized by episodic and reversible attacks of wheezing, chest tightness, shortness of breath, and coughing (77). In 2001, a total of 20.3 million persons in the United States had received a diagnosis of asthma. By 2010, 25.7 million U.S. residents had received an asthma diagnosis (78,79). Certain environmental factors exacerbate asthma, including exposure to tobacco smoke, allergens, air pollution, microbial substances, infection, and diet (80). Although asthma cannot be cured, symptoms can be controlled with appropriate medical treatment, self-management education, and avoidance of exposure to environmental allergens and irritants that can trigger an attack (81). In 2010, the overall median prevalence of current asthma was 9.0% (interquartile range: 5.2%–11.1%). The variability in the estimated prevalence of asthma existed at MMSAs and county levels.

Diabetes

Diabetes is caused by lack of insulin in the body (Type I diabetes) and insulin resistance (Type II diabetes). The complications of diabetes are serious and extensive; they include vision loss, lower-extremity amputation, skin complications (e.g., itching and bacterial and fungal infection), heart and kidney diseases, periodontitis, poor mental health, neuropathy, and stroke, and they involve many other organs and tissues (82). Diabetic patients face elevated risks of developing cancer (83). An estimated 25.8 million persons in the United States have diabetes, including 7.0 million persons who have not received a diagnosis (84). In 2010, approximately 1.9 million adults aged ≥20 years received a new diagnosis of diabetes. In 2010, the prevalence of diagnosed diabetes at the state level ranged from 5.3%–13.2%. Persons with diabetes have shorter life expectancy and increased mortality compared with persons without diabetes. By 2050, new incidence of diabetes is expected to be 15 cases per 1,000 persons (85). In 2007, diabetes cost the United States approximately $174 billion (86). Eating right and being active can help to prevent type II diabetes. Given the high prevalence of diabetes and its likely future burden, implementation of effective interventions and strategies that can reduce risk for obesity and encourage physical activity, particularly among high-risk populations, can help to lower diabetes rates and keep existing diagnosed cases of the disease in better control. The National Diabetes Prevention Program aims to prevent or delay diabetes by bringing the evidence-based lifestyle change program to the community level (87).

Disability

Approximately 50 million persons in the United States live with a disability, which includes mental impairment or difficulties with hearing, vision, movement, thinking, remembering, learning, communication, and social relationships (88). Physical limitations can require the use of special equipment. Disability usually is associated with low socioeconomic status. Persons with disabilities are more likely to be poor and have barriers to education and employment (89). There is a racial disparity of self-reported health status among persons with disabilities (90). Many persons with disabilities also have at least one chronic condition (e.g., obesity, diabetes, depression, or mental illness). They are more likely to use an emergency department, to be hospitalized, and to have limited health-care access (91,92). Persons with disabilities account for 43% of Medicaid health-care expenditures (93). In 2005, among the total population, 18.7% had some level of disability, and 12.0% had a severe disability (94). Although the severe disability rate declined among the elderly population during the last 2 decades, the disability rate has increased among working-aged persons, especially among the obese population (95). Compared with the medians of prevalence of use of special equipment in 2008 (7.2%) and 2009 (7.0%), the rate did not decline in 2010 (7.5%). As the U.S. population ages, the need to improve quality of life, increase access to special equipment, and prevent hospital-associated disability complications among the disabled population will continue to be important (96).

Cardiovascular Diseases

Coronary Heart Disease

The most common type of heart disease is coronary heart disease, which is caused by the buildup of plaque that narrows the blood vessels that supply blood to the heart (97). Heart disease is the leading cause of death for both men and women in the United States (98). One in six deaths in 2010 could be attributed to coronary heart disease (99). In 2010, estimates from BRFSS data indicated that prevalence of coronary heart disease ranged from 5.3%–16.7% at the state level. Since the Framingham Heart Study, many risk factors are known to be associated with coronary heart disease, including age, sex, smoking status, diabetes, unhealthy systolic blood pressure and total cholesterol, and high low-density lipoprotein cholesterol (100,101). Chronic conditions including diabetes mellitus, obesity, high blood pressure, a low level of high-density lipoprotein cholesterol, and a high level of low-density lipoprotein are associated with developing coronary heart disease, as are unhealthy behaviors (e.g., tobacco use, excessive alcohol consumption, diets high in fat and sodium, and physical inactivity); being older, male, black or of American Indian descent; and having a family history of the disease (97,102). Risk for coronary heart disease can be lowered by maintaining a healthy lifestyle (including quitting smoking, losing weight, monitoring blood pressure, and controlling blood cholesterol by following a low-fat diet and engaging in regular aerobic exercise). Adopting guidelines that encourage healthy lifestyle choices and control of diabetes, blood pressure, and cholesterol can help lower overall rates of heart disease (103).

Stroke

Cerebrovascular disease is the fourth leading cause of mortality in United States (2). In 2010, stroke was responsible for one out of 18 deaths in the United States (99). Stroke occurs when a clot blocks the blood supply to the brain or a blood vessel in the brain bursts (104). If nonfatal, stroke can cause severe long-term physical disability (e.g., paralysis and speech problems). Each year, approximately 795,000 persons in the United States have new or recurrent strokes (105). The direct medical cost for stroke was $28.3 billion in 2010 and has been projected to be $95.6 billion in 2030 (106). The dominant risk factors associated with stroke are high blood pressure, impaired glucose tolerance, atrial fibrillation, current cigarette smoking, and physical inactivity. The incidence and treatment vary by age, gender, and race. Females are older than males at stroke onset (107). Blacks had a higher prevalence of stroke than whites (108). As a risk factor for ischemic stroke, dyslipidemia was less likely to be discovered, treated, or controlled in blacks than whites (109). Education and prevention programs that target high-risk populations can help cut rates of stroke. The recommendation and guidelines to prevent stroke are provided by CDC (110).

Importance of Reducing Health-Risk Behaviors

The health-risk behaviors and chronic conditions are correlated. For instance, prenatal and passive smoking exposure could increase the incidence of asthma (111). Binge drinking is not only deleterious to health but also contributes to high health-care costs attributable to alcohol-related crime, as well as productivity loss and other burdens to the community (61). Reducing unhealthy risk behaviors and improving adherence to preventive care could help to prevent the occurrence of the chronic conditions and ultimately decrease mortality and morbidity risk for all members of a community.

Limitations

The findings in this report are subject to at least five limitations. First, BRFSS is a household survey that does not collect information from persons in institutions, nursing homes, long-term–care facilities, military installations, and correctional institutions. For this reason, the results cannot be generalized to these populations. Second, increasing use of cell-phone–only households and telephone number portability might decrease the response rate in BRFSS landline surveys (112). In 2009, BRFSS began to collect data on cell-phone–only households as well as on traditional landline households. However, the data are not available for all states and territories and therefore are not included in this report. Third, although BRFSS is conducted in multiple languages (including English, Spanish, Mandarin Chinese, and Portuguese), data are not collected from persons speaking other languages or different dialects, so these persons are not able to participate. Fourth, as a result of the sample size or unreliable estimates, the prevalence for certain health indicators could not be obtained at certain MMSA and county levels. Finally, the data are self-reported and thus are subject to recall bias. Despite these limitations, BRFSS is a cost-effective, timely, and flexible survey that provides reliable estimates of health status, health-risk behaviors, chronic conditions, disabilities, and access to preventive services at national, state, and local levels. Although different national surveys have different data collection modes and sampling frames, the fact that there are overall similarities in the prevalence estimates between BRFSS and other national surveys supports the reliability of BRFSS data (113,114). BRFSS is the only timely source of data available to many states and communities to assess local health conditions and to track progress of health promotion programs and strategies accurately (115).

Conclusion

The results in this report indicate the importance of continuing efforts to increase health-care coverage, vaccination against influenza and pneumococcal diseases, and use of cancer prevention services as well as to improve oral health and to decrease health-risk behaviors at state and local levels. In addition, BRFSS data can be used to identify emerging public health problems, help implement health policies and prevention programs at different stakeholder levels, and continue to monitor health problems during the next decade as the country moves toward achieving HP 2020 objectives (116).

References

  1. CDC. Chronic diseases and health promotion. Atlanta, GA: US Department of Health and Human Services, CDC; 2012. Available at http://www.cdc.gov/chronicdisease/overview/index.htm. Accessed April 11, 2013.
  2. Heron M. Deaths: leading causes for 2008. Natl Vital Stat Rep 2012;60:1–94.
  3. Nelson DE, Bland S, Powell-Griner E, et al. State trends in health risk factors and receipt of clinical preventive services among US adults during the 1990s. JAMA 2002;287:2659–67.
  4. Hughes E, Kilmer G, Li Y, et al. Surveillance for certain health behaviors among states and selected local areas—United States, 2008. MMWR 2010;59(No. SS-10).
  5. Li C, Balluz LS, Okoro CA, et al. Surveillance of certain health behaviors and conditions among states and selected local areas—Behavioral Risk Factor Surveillance System, United States, 2009. MMWR 2011;60(No. SS-9).
  6. CDC. Healthy people 2010. Final review. Atlanta, GA: US Department of Health and Human Services, CDC; 2011. Available at http://www.cdc.gov/nchs/data/hpdata2010/hp2010_final_review.pdf. Accessed April 11, 2013.
  7. CDC. Health risks in the United States. Behavioral Risk Factor Surveillance System: at a glance 2010. Atlanta, GA: US Department of Health and Human Services, CDC; 2010. Available at http://www.cdc.gov/chronicdisease/resources/publications/AAG/brfss.htm. Accessed April 11, 2013.
  8. Nelson DE, Holtzman D, Bolen J, Stanwyck CA, Mack KA. Reliability and validity of measures from the Behavioral Risk Factor Surveillance System (BRFSS). Soz Praventivmed 2001;46(Suppl 1):S3–42.
  9. CDC. 2010 Behavioral Risk Factor Surveillance System questionnaire. Atlanta, GA: US Department of Health and Human Services, CDC; 2010. Available at http://www.cdc.gov/brfss/annual_data/pdf-ques/2010brfss.pdf. Accessed April 11, 2013.
  10. CDC. Behavioral Risk Factor Surveillance System operational and user's guide, version 3.0. Atlanta, GA: US Department of Health and Human Services, CDC; 2006. Available at ftp://ftp.cdc.gov/pub/Data/Brfss/userguide.pdf. Accessed April 11, 2013.
  11. CASRO. CASRO Code of Standards and Ethics for Survey Research. Port Jefferson, NY: CASRO; 2013. Available at http://www.casro.org/?page=TheCASROCode. Accessed April 11, 2013.
  12. CDC. Behavioral Risk Factor Surveillance System 2010 summary data quality report. Atlanta, GA: US Department of Health and Human Services, CDC; 2011. Available at ftp://ftp.cdc.gov/pub/Data/Brfss/2010_Summary_Data_Quality_Report.pdf. Accessed April 11, 2013.
  13. Simon JG, DeBoer JB, Joung IM, Bosma H, Mackenbach JP. How is your health in general? A qualitative study on self-assessed health. Eur J Public Health 2005;15:200–8.
  14. Chandola T, Jenkinson C. Validating self-rated health in different ethnic groups. Ethn Health 2000;5:151–9.
  15. Lundberg O, Manderbacka K. Assessing reliability of a measure of self-rated health. Scand J Soc Med 1996;24:218–24.
  16. McGee DL, Liao Y, Cao G, Cooper RS. Self-reported health status and mortality in a multiethnic US cohort. Am J Epidemiol 1999;149:41–6.
  17. US Census Bureau. Income, poverty, and health insurance coverage in the United States: 2009. Washington, DC: US Department of Commerce, US Census Bureau; 2010. Available at http://www.census.gov/prod/2010pubs/p60-238.pdf. Accessed April 11, 2013.
  18. CDC. Access to health care: a record number of adults 18–64 are uninsured. Atlanta, GA: US Department of Health and Human Services, CDC; 2010. Available at http://www.cdc.gov/vitalsigns/pdf/2010-11-vitalsigns.pdf. Accessed April 11, 2013.
  19. Hellander I. The deepening crisis in U.S. health care: a review of data. Int J Health Serv 2011;41:575–86.
  20. CDC. Oral health: preventing cavities, gum disease, tooth loss, and oral cancers: at a glance 2011. Atlanta, GA: US Department of Health and Human Services, CDC; 2011. Available at http://www.cdc.gov/chronicdisease/resources/publications/AAG/doh.htm. Accessed April 11, 2013.
  21. Oliver RC, Brown LJ. Periodontal diseases and tooth loss. Periodontol 2000 1993;2:117–27.
  22. Anonymous. Oral health in America: a report of the Surgeon General. J Calif Dent Assoc 2000;28:685–95.
  23. US Department of Health and Human Services. U.S. oral health in America: a report of the Surgeon General. Washington, DC: US Department of Health and Human Services; 2000. Available at http://www2.nidcr.nih.gov/sgr/sgrohweb/welcome.htm. Accessed April 11, 2013.
  24. Cunha-Cruz J, Hujoel PP, Nadanovsky P. Secular trends in socio-economic disparities in edentulism: USA, 1972–2001. J Dent Res 2007;86:131–6.
  25. Felton DA. Edentulism and comorbid factors. Tex Dent J 2010;127:389–401.
  26. Beltrán-Aguilar ED, Barker LK, Canto MT, et al. Surveillance for dental caries, dental sealants, tooth retention, edentulism, and enamel fluorosis—United States, 1988–1994 and 1999–2002. MMWR 2005;54(No. SS-3).
  27. Culica D, Rohrer J, Ward M, Hilsenrath P, Pomrehn P. Medical checkups: who does not get them? Am J Public Health 2002;92:88–91.
  28. Mays GP, Smith SA. Geographic variations in public health spending: correlates and consequences. Health Serv Res 2009;44:1796–817.
  29. Pitsiou GG, Kioumis IP. Pneumococcal vaccination in adults: does it really work? Respir Med 2011;105:1776–83.
  30. Huang SS, Johnson KM, Ray GT, et al. Healthcare utilization and cost of pneumococcal disease in the United States. Vaccine 2011;29:3398–412.
  31. CDC. Prevention of pneumococcal disease: recommendations of the Advisory Committee on Immunization Practices (ACIP). MMWR 1997;46(No. RR-8).
  32. Bennett NM, Buffington J, LaForce FM. Pneumococcal bacteremia in Monroe County, New York. Am J Public Health 1992;82:1513–6.
  33. Mufson MA, Oley G, Hughey D. Pneumococcal disease in a medium-sized community in the United States. JAMA 1982;248:1486–9.
  34. Campbell JF, Donohue MA, Mochizuki RB, Nevin-Woods CL, Spika JS. Pneumococcal bacteremia in Hawaii: initial findings of a pneumococcal disease prevention project. Hawaii Med J 1989;48:513–4, 517–8.
  35. Thompson WW, Shay DK, Weintraub E, et al. Influenza-associated hospitalizations in the United States. JAMA 2004;292:1333–40.
  36. Thompson WW, Shay DK, Weintraub E, et al. Mortality associated with influenza and respiratory syncytial virus in the United States. JAMA 2003;289:179–86.
  37. Nichol KL, Nordin JD, Nelson DB, Mullooly JP, Hak E. Effectiveness of influenza vaccine in the community-dwelling elderly. N Engl J Med 2007;357:1373–81.
  38. CDC. Pneumococcal vaccination. Atlanta, GA: US Department of Health and Human Services, CDC; 2013. Available at http://www.cdc.gov/vaccines/vpd-vac/pneumo/default.htm#vacc. Accessed April 11, 2013.
  39. CDC. Seasonal influenza (flu). Atlanta, GA: US Department of Health and Human Services, CDC; 2013. Available at http://www.cdc.gov/flu/index.htm. Accessed April 11, 2013.
  40. CDC. Strategies for increasing adult vaccination rates. Atlanta, GA: US Department of Health and Human Services, CDC; 2010. Available at http://www.cdc.gov/vaccines/recs/rate-strategies/adultstrat.htm. Accessed April 11, 2013.
  41. CDC. U.S. cancer statistics: an interactive atlas. Atlanta, GA: US Department of Health and Human Services, CDC; 2009. Available at http://apps.nccd.cdc.gov/dcpc_inca/dcpc_inca.aspx. Accessed April 11, 2013.
  42. American Cancer Society. Cancer facts & figures 2012. Atlanta, GA: American Cancer Society; 2012. Available at http://www.cancer.org/acs/groups/content/@epidemiologysurveilance/documents/document/acspc-031941.pdf. Accessed April 11, 2013.
  43. US Preventive Services Task Force. Screening for colorectal cancer. Rockville, MD: US Preventive Services Task Force; 2008. Available at http://www.uspreventiveservicestaskforce.org/uspstf/uspscolo.htm. Accessed April 11, 2013.
  44. CDC. Cervical cancer statistics. Atlanta, GA: US Department of Health and Human Services, CDC; 2012. Available at http://www.cdc.gov/cancer/cervical/statistics. Accessed April 11, 2013.
  45. CDC. Cervical cancer. Atlanta, GA: US Department of Health and Human Services, CDC; 2013. Available at http://www.cdc.gov/cancer/cervical. Accessed April 11, 2013.
  46. Henley SJ, King JB, German RR, Richardson LC, Plescia M. Surveillance of screening-detected cancers (colon and rectum, breast, and cervix)—United States, 2004–2006. MMWR 2010;59(No. SS-9).
  47. Watson M, Saraiya M, Benard V, et al. Burden of cervical cancer in the United States, 1998–2003. Cancer 2008;113(Suppl):2855–64.
  48. CDC. United States cancer statistics: 1999–2008 cancer incidence and mortality data. Atlanta, GA: US Department of Health and Human Services, CDC; 2010. Available at http://apps.nccd.cdc.gov/uscs/cancersbystateandregion.aspx. Accessed April 11, 2013.
  49. US Preventive Services Task Force. Screening for cervical cancer: recommendations and rationale. Rockville, MD: US Preventive Services Task Force; 2013. Available at http://www.uspreventiveservicestaskforce.org/3rduspstf/cervcan/cervcanrr.htm. Accessed April 11, 2013.
  50. CDC. Breast cancer statistics. Atlanta, GA: US Department of Health and Human Services, CDC; 2012. Available at http://www.cdc.gov/cancer/breast/statistics. Accessed April 11, 2013.
  51. CDC. Breast cancer risk by age. Atlanta, GA: US Department of Health and Human Services, CDC; 2013. Available at http://www.cdc.gov/cancer/breast/statistics/age.htm. Accessed April 11, 2013.
  52. American Cancer Society. What are the risk factors for breast cancer? Atlanta, GA: American Cancer Society: 2013. Available at http://www.cancer.org/Cancer/BreastCancer/OverviewGuide/breast-cancer-overview-what-causes. Accessed April 11, 2013.
  53. Berry DA, Cronin KA, Plevritis SK, et al. Effect of screening and adjuvant therapy on mortality from breast cancer. N Engl J Med 2005;353:1784–92.
  54. CDC. 2004 Surgeon General's report—the health consequences of smoking. Atlanta, GA: US Department of Health and Human Services, CDC; 2004. Available at http://www.cdc.gov/tobacco/data_statistics/sgr/2004/index.htm. Accessed April 11, 2013.
  55. World Health Organization. Why tobacco is a public health priority. Geneva, Switzerland: World Health Organization; 2013. Available at http://www.who.int/tobacco/health_priority/en. Accessed April 11, 2013.
  56. CDC. 2010 Surgeon General's Report—how tobacco smoke causes disease: the biology and behavioral basis for smoking-attributable disease. Atlanta, GA: US Department of Health and Human Services, CDC; 2012. Available at http://www.cdc.gov/tobacco/data_statistics/sgr/2010/index.htm. Accessed April 11, 2013.
  57. National Library of Medicine. The reports of the Surgeon General: the 1964 report on smoking and health. Bethesda, MD: National Library of Medicine; 2013. Available at http://profiles.nlm.nih.gov/ps/retrieve/Narrative/NN/p-nid/60. Accessed April 11, 2013.
  58. CDC. Vital signs: current cigarette smoking among adults aged ≥18 years—United States, 2005–2010. MMWR 2011;60:1207–12.
  59. CDC. Best practices for comprehensive tobacco control programs. Atlanta, GA: US Department of Health and Human Services, CDC; 2007. Available at http://www.cdc.gov/tobacco/stateandcommunity/best_practices/pdfs/2007/bestpractices_complete.pdf. Accessed April 11, 2013.
  60. CDC. Alcohol and public health: alcohol-related disease impact (ARDI). Atlanta, GA: US Department of Health and Human Services, CDC; 2013. Available at http://apps.nccd.cdc.gov/DACH_ARDI/Default/Default.aspx. Accessed April 11, 2013.
  61. Bouchery EE, Harwood HJ, Sacks JJ, Simon CJ, Brewer RD. Economic costs of excessive alcohol consumption in the U.S., 2006. Am J Prev Med 2011;41:516–24.
  62. US Department of Health and Human Services. 10th special report to the U.S. Congress on alcohol and health. Washington, DC: US Department of Health and Human Services, Public Health Service, National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism; 2000. Available at http://pubs.niaaa.nih.gov/publications/10report/intro.pdf. Accessed April 11, 2013.
  63. Holt JB, Miller JW, Naimi TS, Sui DZ. Religious affiliation and alcohol consumption in the United States. The Geographical Review 2006;96:523–42. Available at http://www.amergeog.org/gr/oct06/holt.html. Accessed April 11, 2013.
  64. National Institute on Alcohol Abuse and Alcoholism. Alcohol Policy Information System. Bethesda, MD: National Institute on Alcohol Abuse and Alcoholism; 2013. Available at http://www.alcoholpolicy.niaaa.nih.gov. Accessed April 11, 2013.
  65. Community Preventive Services Task Force. Preventing excessive alcohol consumption. Atlanta, GA: Community Preventive Services Task Force; 2013. Available at http://www.thecommunityguide.org/alcohol/index.html. Accessed April 11, 2013.
  66. US Department of Health and Human Services. 2008 physical activity guidelines for Americans. Washington, DC: US Department of Health and Human Services; 2008. Available at http://www.health.gov/paguidelines/guidelines. Accessed April 11, 2013.
  67. Community Preventive Services Task Force. Increasing physical activity. Atlanta, GA: Community Preventive Services Task Force; 2012. Available at http://www.thecommunityguide.org/pa/index.html. Accessed April 11, 2013.
  68. National Physical Activity Plan. The plan. Columbia, SC: National Physical Activity Plan; 2010. Available at http://www.physicalactivityplan.org/theplan.php. Accessed April 11, 2013.
  69. Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999–2010. JAMA 2012;307:491–7.
  70. CDC. Obesity, halting the epidemic by making health easier: at a glance 2011. Atlanta, GA: US Department of Health and Human Services, CDC; 2011. Available at http://www.cdc.gov/chronicdisease/resources/publications/aag/obesity.htm. Accessed April 11, 2013.
  71. Batty GD, Kivimaki M, Smith GD, Marmot MG, Shipley MJ. Obesity and overweight in relation to mortality in men with and without type 2 diabetes/impaired glucose tolerance: the original Whitehall Study. Diabetes Care 2007;30:2388–91.
  72. Flegal KM, Graubard BI, Williamson DF, Gail MH. Cause-specific excess deaths associated with underweight, overweight, and obesity. JAMA 2007;298:2028–37.
  73. Adams KF, Schatzkin A, Harris TB, et al. Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old. N Engl J Med 2006;355:763–78.
  74. Nawaz H, Chan W, Abdulrahman M, Larson D, Katz DL. Self-reported weight and height: implications for obesity research. Am J Prev Med 2001;20:294–8.
  75. CDC. Recommended community strategies and measurements to prevent obesity in the United States. MMWR 2009;58(No. RR-7).
  76. Institute of Medicine. Accelerating progress in obesity prevention: solving the weight of the nation. Washington, DC: Institute of Medicine; 2012. Available at http://www.iom.edu/Reports/2012/Accelerating-Progress-in-Obesity-Prevention.aspx. Accessed April 11, 2013.
  77. Kliegman RM, Behrman RE, Jenson HB. Bonita Stanton Nelson textbook of pediatrics. 18th ed. Philadelphia, PA: Saunders; 2007.
  78. CDC. Vital signs: asthma prevalence, disease characteristics, and self-management education: United States, 2001–2009. MMWR 2011;60:547–52.
  79. Akinbami LJ, Moorman JE, Bailey C, et al. Trends in asthma prevalence, health care use, and mortality in the United States, 2001–2010. NCHS Data Brief 2012(94):1–8.
  80. Eder W, Ege MJ, von Mutius E. The asthma epidemic. N Engl J Med 2006;355:2226–35.
  81. National Institutes of Health. National Heart, Lung, and Blood Institute. National Asthma Education and Prevention Program. Expert Panel report 3: guidelines for the diagnosis and management of asthma. Washington, DC: US Department of Health and Human Services; 2007. Available at http://www.nhlbi.nih.gov/guidelines/asthma/asthgdln.pdf. Accessed April 11, 2013.
  82. American Diabetes Association. Living with diabetes: complications. Alexandria, VA: American Diabetes Association; 2013. Available at http://www.diabetes.org/living-with-diabetes/complications. Accessed April 11, 2013.
  83. Chodick G, Zucker I. Diabetes, gestational diabetes and the risk of cancer in women: epidemiologic evidence and possible biologic mechanisms. Womens Health (Lond Engl) 2011;7:227–37.
  84. CDC. National diabetes fact sheet 2011. Atlanta, GA: US Department of Health and Human Services, CDC; 2011. Available at http://www.cdc.gov/DIABETES//pubs/pdf/ndfs_2011.pdf. Accessed April 11, 2013.
  85. Boyle JP, Thompson TJ, Gregg EW, et al. Projection of the year 2050 burden of diabetes in the US adult population: dynamic modeling of incidence, mortality, and prediabetes prevalence. Popul Health Metr 2010;8:29.
  86. American Diabetes Association. Economic costs of diabetes in the U.S. Diabetes Care 2008;31:596–615.
  87. CDC. National Diabetes Prevention Program. Atlanta, GA: US Department of Health and Human Services, CDC; 2012. Available at http://www.cdc.gov/diabetes/prevention/index.htm. Accessed April 11, 2013.
  88. CDC. Disability and health. Atlanta, GA: US Department of Health and Human Services, CDC; 2012. Available at http://www.cdc.gov/ncbddd/disabilityandhealth/index.html. Accessed April 11, 2013.
  89. American Psychological Association. Disability and socioeconomic status. Washington, DC: American Psychological Association; 2013. Available at http://www.apa.org/pi/ses/resources/publications/factsheet-disability.aspx. Accessed April 11, 2013.
  90. CDC. Racial/ethnic disparities in self-rated health status among adults with and without disabilities—United States, 2004–2006. MMWR 2008;57:1069–73.
  91. Gulley SP, Rasch EK, Chan L. The complex web of health: relationships among chronic conditions, disability, and health services. Public Health Rep 2011;126:495–507.
  92. Gulley SP, Rasch EK, Chan L. If we build it, who will come? Working-age adults with chronic health care needs and the medical home. Med Care 2011;49:149–55.
  93. Kaiser Commission on Medicaid and the Uninsured. Medicaid: a primer. Washington, DC: Kaiser Commission on Medicaid and the Uninsured; 2005.
  94. US Census Bureau. Americans with disabilities: 2005. Washington, DC: US Department of Commerce, US Census Bureau; 2008. Available at http://www.census.gov/prod/2008pubs/p70-117.pdf. Accessed April 11, 2013.
  95. Bhattacharya J, Choudhry K, Lakdawalla D. Chronic disease and severe disability among working-age populations. Med Care 2008;46:92–100.
  96. Covinsky KE, Pierluissi E, Johnston CB. Hospitalization-associated disability: "She was probably able to ambulate, but I'm not sure. JAMA 2011;306:1782–93.
  97. PubMedHealth. Coronary heart disease. Bethesda, MD: US National Library of Medicine; 2013. Available at http://www.ncbi.nlm.nih.gov/pubmedhealth/PMH0004449. Accessed April 11, 2013.
  98. Heron M. Deaths: leading causes for 2007. Natl Vital Stat Rep 2011;59:1–95.
  99. Roger VL, Go AS, Lloyd-Jones DM, et al. Heart disease and stroke statistics–2011 update: a report from the American Heart Association. Circulation 2011;123:e18–209.
  100. Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation 1998;97:1837–47.
  101. Bogers RP, Bemelmans WJ, Hoogenveen RT, et al. Association of overweight with increased risk of coronary heart disease partly independent of blood pressure and cholesterol levels: a meta-analysis of 21 cohort studies including more than 300,000 persons. Arch Intern Med 2007;167:1720–8.
  102. CDC. Heart disease risk factors. Atlanta, GA: US Department of Health and Human Services, CDC; 2009. Available at http://www.cdc.gov/heartdisease/risk_factors.htm. Accessed April 11, 2013.
  103. CDC. Guidelines and recommendations to prevent heart disease. Atlanta, GA: US Department of Health and Human Services, CDC; 2011. Available at http://www.cdc.gov/heartdisease/guidelines_recommendations.htm. Accessed April 11, 2013.
  104. CDC. Stroke. Atlanta, GA: US Department of Health and Human Services, CDC; 2012. Available at http://www.cdc.gov/stroke. Accessed April 11, 2013.
  105. Roger VL, Go AS, Lloyd-Jones DM, et al. Heart disease and stroke statistics–2012 update: a report from the American Heart Association. Circulation 2012;125:e2–220.
  106. Heidenreich PA, Trogdon JG, Khavjou OA, et al. Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation 2011;123:933–44.
  107. Petrea RE, Beiser AS, Seshadri S, Kelly-Hayes M, Kase CS, Wolf PA. Gender differences in stroke incidence and poststroke disability in the Framingham heart study. Stroke 2009;40:1032–7.
  108. CDC. Prevalence of stroke—United States, 2006–2010. MMWR 2012;61:379–82.
  109. Zweifler RM, McClure LA, Howard VJ, et al. Racial and geographic differences in prevalence, awareness, treatment and control of dyslipidemia: the reasons for geographic and racial differences in stroke (REGARDS) study. Neuroepidemiology 2011;37:39–44.
  110. CDC. Stroke: related guidelines and recommendations. Atlanta, GA: US Department of Health and Human Services, CDC; 2011. Available at http://www.cdc.gov/stroke/guidelines_recommendations.htm. Accessed April 11, 2013.
  111. Burke H, Leonardi-Bee J, Hashim A, et al. Prenatal and passive smoke exposure and incidence of asthma and wheeze: systematic review and meta-analysis. Pediatrics 2012;129:735–44.
  112. Kempf AM, Remington PL. New challenges for telephone survey research in the twenty-first century. Annu Rev Public Health 2007;28:113–26.
  113. Nelson DE, Powell-Griner E, Town M, Kovar MG. A comparison of national estimates from the National Health Interview Survey and the Behavioral Risk Factor Surveillance System. Am J Public Health 2003;93:1335–41.
  114. Li C, Balluz LS, Ford ES, Okoro CA, Zhao G, Pierannunzi C. A comparison of prevalence estimates for selected health indicators and chronic diseases or conditions from the Behavioral Risk Factor Surveillance System, the National Health Interview Survey, and the National Health and Nutrition Examination Survey, 2007–2008. Prev Med 2012;54:381–7.
  115. CDC. SMART: BRFSS city and county data. Atlanta, GA: US Department of Health and Human Services, CDC; 2011. Available at http://www.cdc.gov/brfss/smart/index.htm. Accessed April 11, 2013.
  116. US Department of Health and Human Services. Healthy people 2020: topics and objectives index. Washington, DC: US Department of Health and Human Services; 2012. Available at http://www.healthypeople.gov/2020/topicsobjectives2020. Accessed April 11, 2013.

TABLE 1. Estimated prevalence of adults aged ≥18 years who reported good or better health,* by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample
size

%

SE

(95% CI)

Alabama

7,645

78.8

0.6

(77.6–80.0)

Alaska

1,952

89.3

0.9

(87.5–91.1)

Arizona

5,625

84.2

0.8

(82.6–85.8)

Arkansas

4,013

80.9

0.9

(79.1–82.6)

California

17,767

81.9

0.4

(81.1–82.7)

Colorado

11,605

87.7

0.5

(86.8–88.6)

Connecticut

6,688

89.0

0.5

(88.0–89.9)

Delaware

4,244

86.3

0.7

(85.0–87.7)

District of Columbia

3,909

88.3

0.7

(87.0–89.6)

Florida

34,975

82.9

0.4

(82.0–83.7)

Georgia

5,773

84.0

0.6

(82.8–85.2)

Hawaii

6,548

85.8

0.6

(84.6–87.1)

Idaho

6,992

84.6

0.6

(83.4–85.8)

Illinois

5,197

84.5

0.7

(83.1–85.9)

Indiana

10,175

83.5

0.5

(82.5–84.6)

Iowa

6,087

88.5

0.5

(87.5–89.5)

Kansas

8,551

86.6

0.5

(85.7–87.5)

Kentucky

8,047

78.5

0.7

(77.1–79.8)

Louisiana

7,019

78.9

0.6

(77.6–80.1)

Maine

8,112

85.3

0.5

(84.3–86.3)

Maryland

9,164

87.0

0.5

(86.0–88.0)

Massachusetts

16,262

88.4

0.4

(87.7–89.2)

Michigan

8,848

85.8

0.5

(84.8–86.7)

Minnesota

8,942

89.1

0.6

(88.0–90.3)

Mississippi

8,071

76.3

0.7

(75.0–77.7)

Missouri

5,417

83.6

0.7

(82.1–85.0)

Montana

7,282

85.0

0.7

(83.7–86.4)

Nebraska

16,351

88.0

0.5

(87.1–88.9)

Nevada

3,906

83.0

1.0

(81.0–85.0)

New Hampshire

5,949

88.4

0.5

(87.4–89.4)

New Jersey

12,400

85.3

0.5

(84.4–86.2)

New Mexico

6,987

81.7

0.7

(80.4–83.0)

New York

8,919

85.3

0.5

(84.4–86.2)

North Carolina

12,096

81.9

0.5

(80.9–83.0)

North Dakota

4,753

86.9

0.6

(85.7–88.2)

Ohio

9,816

83.9

0.5

(82.9–84.9)

Oklahoma

7,706

79.5

0.6

(78.3–80.6)

Oregon

5,049

84.2

0.7

(82.8–85.6)

Pennsylvania

11,208

84.2

0.4

(83.4–85.1)

Rhode Island

6,463

87.2

0.5

(86.1–88.2)

South Carolina

9,354

82.4

0.7

(81.1–83.8)

South Dakota

6,706

88.5

0.5

(87.4–89.5)

Tennessee

5,749

80.5

0.8

(79.0–82.0)

Texas

17,981

82.6

0.5

(81.6–83.7)

Utah

10,140

88.3

0.5

(87.4–89.2)

Vermont

6,780

89.2

0.4

(88.4–90.1)

Virginia

5,366

86.0

0.7

(84.6–87.4)

Washington

19,574

86.5

0.3

(85.8–87.1)

West Virginia

4,394

76.6

0.8

(75.1–78.1)

Wisconsin

4,769

86.4

0.7

(85.0–87.9)

Wyoming

5,828

87.6

0.5

(86.5–88.6)

Guam

783

81.9

1.7

(78.7–85.2)

Puerto Rico

3,535

67.9

1.0

(66.0–69.9)

Virgin Islands

1,797

85.0

1.1

(82.9–87.1)

Median

85.0

Range

67.9–89.3

Abbreviations: SE = standard error; CI = confidence interval.

* Respondents were asked to rate general health as poor, fair, good, very good, or excellent. Respondents were classified into two groups: those who reported fair or poor health and those with good, very good, or excellent health.


TABLE 2. Estimated prevalence of adults aged ≥18 years who reported good or better health,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95%CI)

Akron, Ohio

808

85.5

1.6

(82.3–88.6)

Albuquerque, New Mexico

2,194

83.6

1.1

(81.4–85.7)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

1,087

85.8

1.4

(83.0–88.5)

Amarillo, Texas

827

83.2

1.6

(80.0–86.3)

Arcadia, Florida

502

74.0

3.6

(66.9–81.0)

Asheville, North Carolina

547

83.6

1.8

(80.0–87.1)

Atlanta-Sandy Springs-Marietta, Georgia

2,347

87.1

0.9

(85.3–88.8)

Atlantic City, New Jersey

915

79.9

1.8

(76.3–83.4)

Augusta-Richmond County, Georgia-South Carolina

873

83.5

1.6

(80.3–86.6)

Augusta-Waterville, Maine

653

86.7

1.8

(83.1–90.2)

Austin-Round Rock, Texas

972

86.2

2.9

(80.5–91.8)

Baltimore-Towson, Maryland

3,336

86.3

0.8

(84.7–87.8)

Bangor, Maine

687

83.7

1.7

(80.3–87.0)

Barre, Vermont

669

90.5

1.2

(88.1–92.8)

Baton Rouge, Louisiana

1,198

82.1

1.3

(79.5–84.6)

Bethesda-Gaithersburg-Frederick, Maryland

1,634

91.1

0.9

(89.3–92.8)

Billings, Montana

536

85.9

2.0

(81.9–89.8)

Birmingham-Hoover, Alabama

1,196

82.3

1.3

(79.7–84.8)

Bismarck, North Dakota

769

88.1

1.2

(85.7–90.4)

Boise City-Nampa, Idaho

1,662

84.7

1.1

(82.5–86.8)

Boston-Quincy, Massachusetts

3,305

89.5

0.7

(88.1–90.8)

Bremerton-Silverdale, Washington

920

88.8

1.3

(86.2–91.3)

Bridgeport-Stamford-Norwalk, Connecticut

2,153

90.6

1.0

(88.6–92.5)

Buffalo-Cheektowaga-Tonawanda, New York

607

85.0

1.8

(81.4–88.5)

Burlington-South Burlington, Vermont

1,991

91.3

0.7

(89.9–92.6)

Cambridge-Newton-Framingham, Massachusetts

3,015

92.1

0.6

(90.9–93.2)

Camden, New Jersey

1,700

85.7

1.1

(83.5–87.8)

Canton-Massillon, Ohio

745

84.4

1.5

(81.4–87.3)

Cape Coral-Fort Myers, Florida

518

83.5

2.3

(78.9–88.0)

Casper, Wyoming

767

85.6

1.6

(82.4–88.7)

Cedar Rapids, Iowa

557

91.3

1.3

(88.7–93.8)

Charleston, West Virginia

768

75.8

1.9

(72.0–79.5)

Charleston-North Charleston, South Carolina

1,146

84.8

1.9

(81.0–88.5)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,701

85.3

1.2

(82.9–87.6)

Chattanooga, Tennessee-Georgia

536

79.3

2.5

(74.4–84.2)

Cheyenne, Wyoming

914

85.1

1.5

(82.1–88.0)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

5,011

84.3

0.8

(82.7–85.8)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,793

86.0

1.1

(83.8–88.1)

Cleveland-Elyria-Mentor, Ohio

1,097

85.3

1.3

(82.7–87.8)

Coeur d´Alene, Idaho

568

87.5

1.8

(83.9–91.0)

Colorado Springs, Colorado

1,163

87.4

1.2

(85.0–89.7)

Columbia, South Carolina

1,135

83.6

1.6

(80.4–86.7)

Columbus, Ohio

1,385

84.2

1.4

(81.4–86.9)

Concord, New Hampshire

628

89.0

1.6

(85.8–92.1)

Dallas-Plano-Irving, Texas

719

86.9

1.7

(83.5–90.2)

Dayton, Ohio

849

82.9

2.3

(78.3–87.4)

Del Rio, Texas

557

77.5

3.5

(70.6–84.3)

Deltona-Daytona Beach-Ormond Beach, Florida

859

78.9

2.1

(74.7–83.0)

Denver-Aurora, Colorado

4,818

90.2

0.5

(89.2–91.1)

Des Moines-West Des Moines, Iowa

1,005

90.4

1.1

(88.2–92.5)

Detroit-Livonia-Dearborn, Michigan

1,909

81.5

1.4

(78.7–84.2)

Dover, Delaware

1,254

82.8

1.2

(80.4–85.1)

Durham, North Carolina

1,031

86.9

1.5

(83.9–89.8)

Edison, New Jersey

2,266

86.4

1.0

(84.4–88.3)

El Paso, Texas

868

77.2

1.8

(73.6–80.7)

Eugene-Springfield, Oregon

511

83.4

2.1

(79.2–87.5)

Evansville, Indiana-Kentucky

535

81.9

2.0

(77.9–85.8)

Fargo, North Dakota-Minnesota

833

90.2

1.7

(86.8–93.5)

Farmington, New Mexico

685

84.7

1.9

(80.9–88.4)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

700

89.4

1.6

(86.2–92.5)

Fort Collins-Loveland, Colorado

560

92.0

1.6

(88.8–95.1)

Fort Wayne, Indiana

720

85.2

1.6

(82.0–88.3)

Fort Worth-Arlington, Texas

735

85.6

1.7

(82.2–88.9)

Gainesville, Florida

949

89.9

1.6

(86.7–93.0)


TABLE 2. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95%CI)

Grand Island, Nebraska

858

83.9

1.8

(80.3–87.4)

Grand Rapids-Wyoming, Michigan

621

86.3

1.9

(82.5–90.0)

Greensboro-High Point, North Carolina

1,157

82.6

1.6

(79.4–85.7)

Greenville, South Carolina

772

84.5

1.7

(81.1–87.8)

Hagerstown-Martinsburg, Maryland-West Virginia

644

85.5

1.7

(82.1–88.8)

Hartford-West Hartford-East Hartford, Connecticut

1,996

88.3

0.9

(86.5–90.0)

Hastings, Nebraska

587

86.5

1.7

(83.1–89.8)

Helena, Montana

638

87.6

1.8

(84.0–91.1)

Hickory-Morganton-Lenoir, North Carolina

599

77.5

2.3

(72.9–82.0)

Hilo, Hawaii

1,480

85.1

1.2

(82.7–87.4)

Hilton Head Island-Beaufort, South Carolina

798

87.0

1.8

(83.4–90.5)

Homosassa Springs, Florida

532

79.0

2.2

(74.6–83.3)

Honolulu, Hawaii

2,957

86.1

0.8

(84.5–87.6)

Houston-Sugar Land-Baytown, Texas

2,735

83.5

1.3

(80.9–86.0)

Huntington-Ashland, West Virginia-Kentucky-Ohio

657

72.2

2.3

(67.6–76.7)

Idaho Falls, Idaho

666

87.1

1.5

(84.1–90.0)

Indianapolis-Carmel, Indiana

2,246

85.9

1.0

(83.9–87.8)

Jackson, Mississippi

758

79.3

1.8

(75.7–82.8)

Jacksonville, Florida

2,584

83.0

1.3

(80.4–85.5)

Kahului-Wailuku, Hawaii

1,466

86.7

1.3

(84.1–89.2)

Kalispell, Montana

699

85.4

2.0

(81.4–89.3)

Kansas City, Missouri-Kansas

3,377

87.2

0.9

(85.4–88.9)

Kapaa, Hawaii

645

83.9

1.9

(80.1–87.6)

Kennewick-Richland-Pasco, Washington

647

84.6

2.0

(80.6–88.5)

Key West-Marathon, Florida

505

87.3

1.7

(83.9–90.6)

Kingsport-Bristol, Tennessee-Virginia

650

76.4

2.6

(71.3–81.4)

Knoxville, Tennessee

530

82.9

2.2

(78.5–87.2)

Lake City, Florida

564

78.2

2.4

(73.4–82.9)

Lakeland-Winter Haven, Florida

519

80.6

2.3

(76.0–85.1)

Laredo, Texas

916

78.2

1.5

(75.2–81.1)

Las Cruces, New Mexico

502

76.6

2.8

(71.1–82.0)

Las Vegas-Paradise, Nevada

1,266

82.6

1.4

(79.8–85.3)

Lebanon, New Hampshire-Vermont

1,541

89.0

1.0

(87.0–90.9)

Lewiston, Idaho-Washington

601

82.0

1.9

(78.2–85.7)

Lewiston-Auburn, Maine

501

84.5

1.9

(80.7–88.2)

Lincoln, Nebraska

1,133

91.6

1.3

(89.0–94.1)

Little Rock-North Little Rock, Arkansas

820

83.5

1.9

(79.7–87.2)

Los Angeles-Long Beach-Glendale, California

2,617

79.4

1.0

(77.4–81.3)

Louisville, Kentucky-Indiana

905

82.6

1.6

(79.4–85.7)

Lubbock, Texas

776

81.7

2.2

(77.3–86.0)

Manchester-Nashua, New Hampshire

1,401

89.8

1.0

(87.8–91.7)

McAllen-Edinburg-Mission, Texas

593

75.7

2.2

(71.3–80.0)

Memphis, Tennessee-Mississippi-Arkansas

1,155

81.8

1.7

(78.4–85.1)

Miami-Fort Lauderdale-Miami Beach, Florida

1,027

84.7

1.5

(81.7–87.6)

Midland, Texas

523

84.6

2.0

(80.6–88.5)

Milwaukee-Waukesha-West Allis, Wisconsin

1,530

84.3

1.5

(81.3–87.2)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

4,860

90.7

0.8

(89.1–92.2)

Minot, North Dakota

556

86.7

1.6

(83.5–89.8)

Mobile, Alabama

678

78.1

2.1

(73.9–82.2)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

554

84.5

2.0

(80.5–88.4)

Naples-Marco Island, Florida

520

81.9

3.2

(75.6–88.1)

Nashville-Davidson-Murfreesboro, Tennessee

830

87.5

1.3

(84.9–90.0)

Nassau-Suffolk, New York

1,070

89.5

1.1

(87.3–91.6)

Newark-Union, New Jersey-Pennsylvania

3,317

86.4

0.8

(84.8–87.9)

New Haven-Milford, Connecticut

1,656

88.5

1.0

(86.5–90.4)

New Orleans-Metairie-Kenner, Louisiana

1,534

80.5

1.3

(77.9–83.0)

New York-White Plains-Wayne, New York-New Jersey

6,181

84.1

0.6

(82.9–85.2)

Norfolk, Nebraska

675

86.7

1.7

(83.3–90.0)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

578

1,132

84.8

87.7

1.8

1.1

(81.2–88.3)

(85.5–89.8)

Ocala, Florida

588

76.9

2.5

(72.0–81.8)

Ocean City, New Jersey

519

85.9

1.7

(82.5–89.2)

Ogden-Clearfield, Utah

1,694

87.5

1.3

(84.9–90.0)


TABLE 2. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95%CI)

Oklahoma City, Oklahoma

2,466

81.8

1.0

(79.8–83.7)

Olympia, Washington

775

89.3

1.2

(86.9–91.6)

Omaha-Council Bluffs, Nebraska-Iowa

2,357

89.3

0.8

(87.7–90.8)

Orlando-Kissimmee, Florida

2,670

82.1

1.1

(79.9–84.2)

Palm Bay-Melbourne-Titusville, Florida

527

82.0

2.3

(77.4–86.5)

Panama City-Lynn Haven, Florida

Peabody, Massachusetts

544

2,131

85.2

86.6

1.8

1.4

(81.6–88.7)

(83.8–89.3)

Pensacola-Ferry Pass-Brent, Florida

1,012

84.1

1.4

(81.3–86.8)

Philadelphia, Pennsylvania

2,361

85.3

1.0

(83.3–87.2)

Phoenix-Mesa-Scottsdale, Arizona

1,650

86.9

1.2

(84.5–89.2)

Pittsburgh, Pennsylvania

2,420

85.3

0.9

(83.5–87.0)

Portland-South Portland-Biddeford, Maine

2,624

88.6

0.8

(87.0–90.1)

Portland-Vancouver-Beaverton, Oregon-Washington

3,394

86.4

0.8

(84.8–87.9)

Port St. Lucie-Fort Pierce, Florida

1,022

82.0

1.7

(78.6–85.3)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

9,381

86.6

0.5

(85.6–87.5)

Provo-Orem, Utah

1,177

91.8

1.0

(89.8–93.7)

Raleigh-Cary, North Carolina

1,025

90.2

1.1

(88.0–92.3)

Rapid City, South Dakota

848

90.3

1.1

(88.1–92.4)

Reno-Sparks, Nevada

1,326

84.7

1.4

(81.9–87.4)

Richmond, Virginia

801

90.1

1.3

(87.5–92.6)

Riverside-San Bernardino-Ontario, California

1,877

80.7

1.2

(78.3–83.0)

Rochester, New York

570

85.1

1.9

(81.3–88.8)

Rockingham County-Strafford County, New Hampshire

1,590

89.8

0.8

(88.2–91.3)

Rutland, Vermont

657

87.1

1.6

(83.9–90.2)

Sacramento-Arden-Arcade-Roseville, California

1,293

86.9

1.1

(84.7–89.0)

St. Louis, Missouri-Illinois

1,749

86.4

1.2

(84.0–88.7)

Salt Lake City, Utah

4,308

87.7

0.6

(86.5–88.8)

San Antonio, Texas

1,123

83.9

1.5

(80.9–86.8)

San Diego-Carlsbad-San Marcos, California

1,695

85.6

1.1

(83.4–87.7)

San Francisco-Oakland-Fremont, California

2,354

85.4

1.0

(83.4–87.3)

San Jose-Sunnyvale-Santa Clara, California

912

85.2

1.6

(82.0–88.3)

Santa Ana-Anaheim-Irvine, California

1,445

84.5

1.3

(81.9–87.0)

Santa Fe, New Mexico

610

84.8

2.1

(80.6–88.9)

Scottsbluff, Nebraska

755

85.5

1.7

(82.1–88.8)

Scranton-Wilkes-Barre, Pennsylvania

553

82.1

2.0

(78.1–86.0)

Seaford, Delaware

1,239

86.3

1.2

(83.9–88.6)

Seattle-Bellevue-Everett, Washington

4,691

88.6

0.6

(87.4–89.7)

Sebring, Florida

520

75.0

3.0

(69.1–80.8)

Shreveport-Bossier City, Louisiana

679

79.3

1.9

(75.5–83.0)

Sioux City, Iowa-Nebraska-South Dakota

1,220

87.3

1.7

(83.9–90.6)

Sioux Falls, South Dakota

838

91.7

1.1

(89.5–93.8)

Spokane, Washington

1,214

86.2

1.3

(83.6–88.7)

Springfield, Massachusetts

2,052

88.2

1.0

(86.2–90.1)

Tacoma, Washington

1,719

84.2

1.2

(81.8–86.5)

Tallahassee, Florida

2,038

83.9

1.8

(80.3–87.4)

Tampa-St. Petersburg-Clearwater, Florida

2,025

82.8

1.2

(80.4–85.1)

Toledo, Ohio

862

83.5

1.8

(79.9–87.0)

Topeka, Kansas

835

83.9

1.5

(80.9–86.8)

Trenton-Ewing, New Jersey

503

87.0

1.9

(83.2–90.7)

Tucson, Arizona

687

84.4

1.9

(80.6–88.1)

Tulsa, Oklahoma

2,136

79.5

1.1

(77.3–81.6)

Tuscaloosa, Alabama

518

81.7

2.4

(76.9–86.4)

Twin Falls, Idaho

536

85.2

2.4

(80.4–89.9)

Tyler, Texas

672

85.7

1.6

(82.5–88.8)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

1,101

85.6

1.8

(82.0–89.1)

Warren-Troy-Farmington Hills, Michigan

1,798

89.1

0.9

(87.3–90.8)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia

6,379

88.4

0.9

(86.6–90.1)

Wauchula, Florida

526

76.2

3.2

(69.9–82.4)

West Palm Beach-Boca Raton-Boynton Beach, Florida

553

85.0

2.0

(81.0–88.9)

Wichita, Kansas

1,849

85.4

1.2

(83.0–87.7)

Wichita Falls, Texas

824

80.9

2.0

(76.9–84.8)

Wilmington, Delaware-Maryland-New Jersey

2,214

86.6

0.9

(84.8–88.3)


TABLE 2. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95%CI)

Worcester, Massachusetts

2,098

87.7

1.1

(85.5–89.8)

Yakima, Washington

739

78.9

1.9

(75.1–82.6)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

1,060

83.8

1.8

(80.2–87.3)

Median

85.2

Range

72.2–92.1

Abbreviations: SE = standard error; CI = confidence interval.

* Respondents were asked to rate general health as poor, fair, good, very good, or excellent. Respondents were classified into two groups: those who reported fair or poor health and those with good, very good, or excellent health.

Metropolitan division.


TABLE 3. Estimated prevalence of adults aged ≥18 years who reported good or better health,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

602

82.0

1.7

(78.6–85.3)

Mobile County, Alabama

678

78.1

2.1

(73.9–82.2)

Tuscaloosa County, Alabama

435

84.1

2.4

(79.3–88.8)

Maricopa County, Arizona

1,270

87.0

1.2

(84.6–89.3)

Pima County, Arizona

687

84.4

1.9

(80.6–88.1)

Pinal County, Arizona

380

85.6

2.6

(80.5–90.6)

Benton County, Arkansas

361

92.3

1.5

(89.3–95.2)

Pulaski County, Arkansas

558

85.1

2.2

(80.7–89.4)

Washington County, Arkansas

298

87.9

2.7

(82.6–93.1)

Alameda County, California

755

85.4

1.7

(82.0–88.7)

Contra Costa County, California

632

89.7

1.6

(86.5–92.8)

Los Angeles County, California

2,617

79.4

1.0

(77.4–81.3)

Orange County, California

1,445

84.5

1.3

(81.9–87.0)

Placer County, California

255

88.2

2.2

(83.8–92.5)

Riverside County, California

930

78.3

1.8

(74.7–81.8)

Sacramento County, California

751

85.0

1.6

(81.8–88.1)

San Bernardino County, California

947

82.9

1.6

(79.7–86.0)

San Diego County, California

1,695

85.6

1.1

(83.4–87.7)

San Francisco County, California

385

79.9

2.6

(74.8–84.9)

San Mateo County, California

383

84.5

2.4

(79.7–89.2)

Santa Clara County, California

874

85.4

1.6

(82.2–88.5)

Adams County, Colorado

806

87.4

1.5

(84.4–90.3)

Arapahoe County, Colorado

870

91.2

0.9

(89.4–92.9)

Denver County, Colorado

873

86.6

1.5

(83.6–89.5)

Douglas County, Colorado

578

95.8

0.8

(94.2–97.3)

El Paso County, Colorado

1,031

87.4

1.3

(84.8–89.9)

Jefferson County, Colorado

1,164

89.7

1.2

(87.3–92.0)

Larimer County, Colorado

560

92.0

1.6

(88.8–95.1)

Fairfield County, Connecticut

2,153

90.6

1.0

(88.6–92.5)

Hartford County, Connecticut

1,482

87.6

1.1

(85.4–89.7)

Middlesex County, Connecticut

262

89.1

2.2

(84.7–93.4)

New Haven County, Connecticut

1,656

88.5

1.0

(86.5–90.4)

Tolland County, Connecticut

252

88.1

2.5

(83.2–93.0)

Kent County, Delaware

1,254

82.8

1.2

(80.4–85.1)

New Castle County, Delaware

1,751

87.6

1.0

(85.6–89.5)

Sussex County, Delaware

1,239

86.3

1.2

(83.9–88.6)

District of Columbia, District of Columbia

3,909

89.4

0.7

(88.0–90.7)

Alachua County, Florida

532

90.1

1.7

(86.7–93.4)

Baker County, Florida

508

79.7

3.0

(73.8–85.5)

Bay County, Florida

544

85.2

1.8

(81.6–88.7)

Brevard County, Florida

527

82.0

2.3

(77.4–86.5)

Broward County, Florida

522

86.0

1.9

(82.2–89.7)

Citrus County, Florida

532

79.0

2.2

(74.6–83.3)

Clay County, Florida

485

84.9

1.9

(81.1–88.6)

Collier County, Florida

520

81.9

3.2

(75.6–88.1)

Columbia County, Florida

564

78.2

2.4

(73.4–82.9)

DeSoto County, Florida

502

74.0

3.6

(66.9–81.0)

Duval County, Florida

550

81.5

2.0

(77.5–85.4)

Escambia County, Florida

520

84.4

1.9

(80.6–88.1)

Gadsden County, Florida

510

73.6

3.7

(66.3–80.8)

Gilchrist County, Florida

417

80.1

3.3

(73.6–86.5)

Hardee County, Florida

526

76.2

3.2

(69.9–82.4)

Hernando County, Florida

489

78.7

2.4

(73.9–83.4)

Highlands County, Florida

520

75.0

3.0

(69.1–80.8)

Hillsborough County, Florida

501

85.2

2.1

(81.0–89.3)

Jefferson County, Florida

500

80.4

2.7

(75.1–85.6)

Lake County, Florida

604

83.6

1.7

(80.2–86.9)

Lee County, Florida

518

83.5

2.3

(78.9–88.0)

Leon County, Florida

492

89.3

1.7

(85.9–92.6)

Manatee County, Florida

524

86.2

1.7

(82.8–89.5)

Marion County, Florida

588

76.9

2.5

(72.0–81.8)

Martin County, Florida

520

87.3

1.6

(84.1–90.4)

Miami-Dade County, Florida

505

83.4

2.0

(79.4–87.3)

Monroe County, Florida

505

87.3

1.7

(83.9–90.6)


TABLE 3. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Nassau County, Florida

520

83.2

2.5

(78.3–88.1)

Orange County, Florida

1,007

81.5

1.8

(77.9–85.0)

Osceola County, Florida

570

80.4

2.6

(75.3–85.4)

Palm Beach County, Florida

553

85.0

2.0

(81.0–88.9)

Pasco County, Florida

540

81.0

2.2

(76.6–85.3)

Pinellas County, Florida

495

84.6

1.8

(81.0–88.1)

Polk County, Florida

519

80.6

2.3

(76.0–85.1)

St. Johns County, Florida

521

87.7

1.7

(84.3–91.0)

St. Lucie County, Florida

502

79.1

2.3

(74.5–83.6)

Santa Rosa County, Florida

492

83.7

2.0

(79.7–87.6)

Sarasota County, Florida

608

88.2

1.6

(85.0–91.3)

Seminole County, Florida

489

83.7

2.3

(79.1–88.2)

Volusia County, Florida

859

78.9

2.1

(74.7–83.0)

Wakulla County, Florida

536

78.4

3.0

(72.5–84.2)

Cobb County, Georgia

253

85.3

2.7

(80.0–90.5)

DeKalb County, Georgia

341

88.5

1.9

(84.7–92.2)

Fulton County, Georgia

330

93.6

1.3

(91.0–96.1)

Gwinnett County, Georgia

251

89.5

2.2

(85.1–93.8)

Hawaii County, Hawaii

1,480

85.1

1.2

(82.7–87.4)

Honolulu County, Hawaii

2,957

86.1

0.8

(84.5–87.6)

Kauai County, Hawaii

645

83.9

1.9

(80.1–87.6)

Maui County, Hawaii

1,466

86.7

1.3

(84.1–89.2)

Ada County, Idaho

865

88.4

1.3

(85.8–90.9)

Bonneville County, Idaho

522

86.8

1.7

(83.4–90.1)

Canyon County, Idaho

619

79.1

2.1

(74.9–83.2)

Kootenai County, Idaho

568

87.5

1.8

(83.9–91.0)

Nez Perce County, Idaho

381

82.1

2.2

(77.7–86.4)

Twin Falls County, Idaho

430

84.4

2.6

(79.3–89.4)

Cook County, Illinois

2,883

82.9

1.0

(80.9–84.8)

DuPage County, Illinois

256

89.6

2.2

(85.2–93.9)

Allen County, Indiana

585

83.7

2.0

(79.7–87.6)

Lake County, Indiana

997

79.7

2.1

(75.5–83.8)

Marion County, Indiana

1,459

82.1

1.6

(78.9–85.2)

Linn County, Iowa

494

90.1

1.5

(87.1–93.0)

Polk County, Iowa

766

91.5

1.0

(89.5–93.4)

Johnson County, Kansas

1,415

92.5

0.7

(91.1–93.8)

Sedgwick County, Kansas

1,436

85.0

1.3

(82.4–87.5)

Shawnee County, Kansas

623

82.9

1.9

(79.1–86.6)

Wyandotte County, Kansas

605

80.4

2.2

(76.0–84.7)

Jefferson County, Kentucky

409

81.9

2.3

(77.3–86.4)

Caddo Parish, Louisiana

443

78.4

2.3

(73.8–82.9)

East Baton Rouge Parish, Louisiana

719

80.4

2.1

(76.2–84.5)

Jefferson Parish, Louisiana

594

76.1

2.4

(71.3–80.8)

Orleans Parish, Louisiana

376

82.1

2.3

(77.5–86.6)

St. Tammany Parish, Louisiana

371

84.9

2.3

(80.3–89.4)

Androscoggin County, Maine

501

84.5

1.9

(80.7–88.2)

Cumberland County, Maine

1,388

90.0

1.1

(87.8–92.1)

Kennebec County, Maine

653

86.7

1.8

(83.1–90.2)

Penobscot County, Maine

687

83.7

1.7

(80.3–87.0)

Sagadahoc County, Maine

298

85.6

2.3

(81.0–90.1)

York County, Maine

938

87.2

1.4

(84.4–89.9)

Anne Arundel County, Maryland

602

89.2

1.5

(86.2–92.1)

Baltimore County, Maryland

1,052

86.2

1.2

(83.8–88.5)

Cecil County, Maryland

267

86.5

2.3

(81.9–91.0)

Charles County, Maryland

349

88.3

1.8

(84.7–91.8)

Frederick County, Maryland

574

89.7

1.6

(86.5–92.8)

Harford County, Maryland

279

83.9

2.8

(78.4–89.3)

Howard County, Maryland

341

88.9

2.3

(84.3–93.4)

Montgomery County, Maryland

1,060

91.2

1.0

(89.2–93.1)

Prince George´s County, Maryland

795

85.9

1.6

(82.7–89.0)

Queen Anne´s County, Maryland

295

91.1

1.6

(87.9–94.2)

Washington County, Maryland

407

84.8

1.9

(81.0–88.5)

Baltimore city, Maryland

533

82.8

2.2

(78.4–87.1)

Bristol County, Massachusetts

2,918

85.0

1.1

(82.8–87.1)


TABLE 3. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Essex County, Massachusetts

2,131

87.6

1.3

(85.0–90.1)

Hampden County, Massachusetts

1,593

86.0

1.3

(83.4–88.5)

Hampshire County, Massachusetts

275

93.0

1.7

(89.6–96.3)

Middlesex County, Massachusetts

3,015

92.2

0.6

(91.0–93.3)

Norfolk County, Massachusetts

860

92.2

1.0

(90.2–94.1)

Plymouth County, Massachusetts

687

91.5

1.1

(89.3–93.6)

Suffolk County, Massachusetts

1,758

85.8

1.4

(83.0–88.5)

Worcester County, Massachusetts

2,098

87.7

1.1

(85.5–89.8)

Kent County, Michigan

444

89.8

1.7

(86.4–93.1)

Macomb County, Michigan

514

87.2

1.6

(84.0–90.3)

Oakland County, Michigan

936

90.9

1.1

(88.7–93.0)

Wayne County, Michigan

1,909

81.5

1.4

(78.7–84.2)

Anoka County, Minnesota

396

88.7

2.2

(84.3–93.0)

Dakota County, Minnesota

570

91.0

1.6

(87.8–94.1)

Hennepin County, Minnesota

2,049

93.3

0.9

(91.5–95.0)

Ramsey County, Minnesota

919

87.1

2.4

(82.3–91.8)

Washington County, Minnesota

258

91.0

2.3

(86.4–95.5)

DeSoto County, Mississippi

369

82.8

2.5

(77.9–87.7)

Hinds County, Mississippi

339

72.8

3.5

(65.9–79.6)

Jackson County, Missouri

525

86.0

1.9

(82.2–89.7)

St. Louis County, Missouri

605

84.7

2.7

(79.4–89.9)

St. Louis city, Missouri

645

83.7

1.8

(80.1–87.2)

Flathead County, Montana

699

85.4

2.0

(81.4–89.3)

Lewis and Clark County, Montana

529

88.3

1.5

(85.3–91.2)

Yellowstone County, Montana

485

86.0

2.1

(81.8–90.1)

Adams County, Nebraska

478

85.8

1.9

(82.0–89.5)

Dakota County, Nebraska

741

78.0

2.0

(74.0–81.9)

Douglas County, Nebraska

950

88.5

1.3

(85.9–91.0)

Hall County, Nebraska

583

84.0

2.1

(79.8–88.1)

Lancaster County, Nebraska

849

91.6

1.4

(88.8–94.3)

Lincoln County, Nebraska

546

84.2

2.0

(80.2–88.1)

Madison County, Nebraska

467

88.3

1.7

(84.9–91.6)

Sarpy County, Nebraska

579

91.0

1.5

(88.0–93.9)

Scotts Bluff County, Nebraska

732

85.8

1.6

(82.6–88.9)

Seward County, Nebraska

284

89.5

2.2

(85.1–93.8)

Clark County, Nevada

1,266

82.6

1.4

(79.8–85.3)

Washoe County, Nevada

1,306

84.7

1.4

(81.9–87.4)

Grafton County, New Hampshire

502

89.3

1.6

(86.1–92.4)

Hillsborough County, New Hampshire

1,401

89.8

1.0

(87.8–91.7)

Merrimack County, New Hampshire

628

89.0

1.6

(85.8–92.1)

Rockingham County, New Hampshire

1,008

91.1

0.9

(89.3–92.8)

Strafford County, New Hampshire

582

86.9

1.5

(83.9–89.8)

Atlantic County, New Jersey

915

79.9

1.8

(76.3–83.4)

Bergen County, New Jersey

626

87.5

1.6

(84.3–90.6)

Burlington County, New Jersey

568

87.6

1.5

(84.6–90.5)

Camden County, New Jersey

605

83.3

2.0

(79.3–87.2)

Cape May County, New Jersey

519

85.9

1.7

(82.5–89.2)

Essex County, New Jersey

1,019

81.8

1.5

(78.8–84.7)

Gloucester County, New Jersey

527

86.3

2.1

(82.1–90.4)

Hudson County, New Jersey

1,094

80.3

1.5

(77.3–83.2)

Hunterdon County, New Jersey

514

93.5

1.2

(91.1–95.8)

Mercer County, New Jersey

503

87.0

1.9

(83.2–90.7)

Middlesex County, New Jersey

632

85.9

1.7

(82.5–89.2)

Monmouth County, New Jersey

562

89.5

1.7

(86.1–92.8)

Morris County, New Jersey

700

91.5

1.2

(89.1–93.8)

Ocean County, New Jersey

536

83.4

1.8

(79.8–86.9)

Passaic County, New Jersey

502

83.2

2.2

(78.8–87.5)

Somerset County, New Jersey

536

90.8

1.5

(87.8–93.7)

Sussex County, New Jersey

502

88.9

1.6

(85.7–92.0)

Union County, New Jersey

522

84.7

1.9

(80.9–88.4)

Warren County, New Jersey

479

88.7

1.6

(85.5–91.8)

Bernalillo County, New Mexico

1,263

83.4

1.4

(80.6–86.1)

Dona Ana County, New Mexico

502

76.6

2.8

(71.1–82.0)

Sandoval County, New Mexico

521

87.7

1.6

(84.5–90.8)


TABLE 3. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

San Juan County, New Mexico

685

84.7

1.9

(80.9–88.4)

Santa Fe County, New Mexico

610

84.8

2.1

(80.6–88.9)

Valencia County, New Mexico

350

76.7

3.1

(70.6–82.7)

Bronx County, New York

434

78.6

2.4

(73.8–83.3)

Erie County, New York

477

84.8

2.2

(80.4–89.1)

Kings County, New York

909

80.7

1.8

(77.1–84.2)

Monroe County, New York

384

85.5

2.2

(81.1–89.8)

Nassau County, New York

478

90.4

1.4

(87.6–93.1)

New York County, New York

1,035

85.2

1.5

(82.2–88.1)

Queens County, New York

797

83.4

1.8

(79.8–86.9)

Suffolk County, New York

592

89.7

1.6

(86.5–92.8)

Westchester County, New York

384

92.4

1.5

(89.4–95.3)

Buncombe County, North Carolina

263

84.7

2.5

(79.8–89.6)

Cabarrus County, North Carolina

307

86.7

2.3

(82.1–91.2)

Catawba County, North Carolina

294

82.4

3.2

(76.1–88.6)

Durham County, North Carolina

618

90.0

1.5

(87.0–92.9)

Gaston County, North Carolina

266

81.2

3.5

(74.3–88.0)

Guilford County, North Carolina

694

86.9

1.5

(83.9–89.8)

Johnston County, North Carolina

274

80.7

3.1

(74.6–86.7)

Mecklenburg County, North Carolina

605

85.2

1.7

(81.8–88.5)

Orange County, North Carolina

298

89.4

2.1

(85.2–93.5)

Randolph County, North Carolina

395

79.7

2.5

(74.8–84.6)

Union County, North Carolina

346

84.2

3.2

(77.9–90.4)

Wake County, North Carolina

712

92.5

1.0

(90.5–94.4)

Burleigh County, North Dakota

559

87.4

1.5

(84.4–90.3)

Cass County, North Dakota

779

89.8

1.5

(86.8–92.7)

Ward County, North Dakota

466

87.3

1.7

(83.9–90.6)

Cuyahoga County, Ohio

720

84.9

1.7

(81.5–88.2)

Franklin County, Ohio

679

84.5

1.7

(81.1–87.8)

Hamilton County, Ohio

725

87.0

1.4

(84.2–89.7)

Lucas County, Ohio

728

83.4

1.7

(80.0–86.7)

Mahoning County, Ohio

728

83.7

1.7

(80.3–87.0)

Montgomery County, Ohio

701

83.9

1.8

(80.3–87.4)

Stark County, Ohio

714

84.6

1.5

(81.6–87.5)

Summit County, Ohio

703

84.1

1.8

(80.5–87.6)

Cleveland County, Oklahoma

433

87.1

1.9

(83.3–90.8)

Oklahoma County, Oklahoma

1,432

79.8

1.3

(77.2–82.3)

Tulsa County, Oklahoma

1,517

80.9

1.2

(78.5–83.2)

Clackamas County, Oregon

448

85.6

2.1

(81.4–89.7)

Lane County, Oregon

511

83.4

2.1

(79.2–87.5)

Multnomah County, Oregon

816

85.5

1.5

(82.5–88.4)

Washington County, Oregon

584

89.0

1.5

(86.0–91.9)

Allegheny County, Pennsylvania

1,379

86.8

1.0

(84.8–88.7)

Lehigh County, Pennsylvania

282

83.1

2.5

(78.2–88.0)

Luzerne County, Pennsylvania

311

82.9

2.4

(78.1–87.6)

Montgomery County, Pennsylvania

344

88.1

2.3

(83.5–92.6)

Northampton County, Pennsylvania

260

88.4

2.3

(83.8–92.9)

Philadelphia County, Pennsylvania

1,399

78.4

1.4

(75.6–81.1)

Westmoreland County, Pennsylvania

338

85.5

2.5

(80.6–90.4)

Bristol County, Rhode Island

274

93.9

1.3

(91.3–96.4)

Kent County, Rhode Island

922

85.9

1.4

(83.1–88.6)

Newport County, Rhode Island

477

91.8

1.5

(88.8–94.7)

Providence County, Rhode Island

4,055

85.2

0.7

(83.8–86.5)

Washington County, Rhode Island

735

91.1

1.5

(88.1–94.0)

Aiken County, South Carolina

474

82.6

2.1

(78.4–86.7)

Beaufort County, South Carolina

677

87.6

1.9

(83.8–91.3)

Berkeley County, South Carolina

354

81.3

4.2

(73.0–89.5)

Charleston County, South Carolina

668

86.6

2.1

(82.4–90.7)

Greenville County, South Carolina

492

85.3

2.1

(81.1–89.4)

Horry County, South Carolina

554

84.5

2.0

(80.5–88.4)

Richland County, South Carolina

665

84.4

1.9

(80.6–88.1)

Minnehaha County, South Dakota

604

91.1

1.3

(88.5–93.6)

Pennington County, South Dakota

667

90.4

1.2

(88.0–92.7)

Davidson County, Tennessee

418

87.5

1.9

(83.7–91.2)


TABLE 3. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Hamilton County, Tennessee

385

81.2

2.7

(75.9–86.4)

Knox County, Tennessee

370

82.6

2.8

(77.1–88.0)

Shelby County, Tennessee

393

84.4

2.4

(79.6–89.1)

Sullivan County, Tennessee

458

78.6

2.7

(73.3–83.8)

Bexar County, Texas

964

83.4

1.7

(80.0–86.7)

Dallas County, Texas

391

85.1

2.3

(80.5–89.6)

El Paso County, Texas

868

77.2

1.8

(73.6–80.7)

Fort Bend County, Texas

926

90.5

1.2

(88.1–92.8)

Harris County, Texas

1,455

82.1

1.4

(79.3–84.8)

Hidalgo County, Texas

593

75.7

2.2

(71.3–80.0)

Lubbock County, Texas

752

83.0

1.8

(79.4–86.5)

Midland County, Texas

523

84.6

2.0

(80.6–88.5)

Potter County, Texas

336

79.5

2.7

(74.2–84.7)

Randall County, Texas

460

86.0

2.0

(82.0–89.9)

Smith County, Texas

672

85.7

1.6

(82.5–88.8)

Tarrant County, Texas

602

86.7

1.7

(83.3–90.0)

Travis County, Texas

759

85.9

3.8

(78.4–93.3)

Val Verde County, Texas

557

77.5

3.5

(70.6–84.3)

Webb County, Texas

916

78.2

1.5

(75.2–81.1)

Wichita County, Texas

673

80.9

2.2

(76.5–85.2)

Davis County, Utah

875

88.6

1.8

(85.0–92.1)

Salt Lake County, Utah

3,285

87.3

0.7

(85.9–88.6)

Summit County, Utah

453

94.4

1.2

(92.0–96.7)

Tooele County, Utah

570

88.9

1.5

(85.9–91.8)

Utah County, Utah

1,114

92.0

1.0

(90.0–93.9)

Weber County, Utah

774

85.6

1.7

(82.2–88.9)

Chittenden County, Vermont

1,428

92.3

0.9

(90.5–94.0)

Franklin County, Vermont

483

87.5

1.6

(84.3–90.6)

Orange County, Vermont

358

89.3

1.8

(85.7–92.8)

Rutland County, Vermont

657

87.1

1.6

(83.9–90.2)

Washington County, Vermont

669

90.5

1.2

(88.1–92.8)

Windsor County, Vermont

681

88.6

1.3

(86.0–91.1)

Benton County, Washington

393

86.3

2.0

(82.3–90.2)

Clark County, Washington

1,090

86.0

1.6

(82.8–89.1)

Franklin County, Washington

254

78.8

4.2

(70.5–87.0)

King County, Washington

3,039

89.5

0.7

(88.1–90.8)

Kitsap County, Washington

920

88.8

1.3

(86.2–91.3)

Pierce County, Washington

1,719

85.3

1.0

(83.3–87.2)

Snohomish County, Washington

1,652

88.0

0.9

(86.2–89.7)

Spokane County, Washington

1,214

86.2

1.3

(83.6–88.7)

Thurston County, Washington

775

89.3

1.2

(86.9–91.6)

Yakima County, Washington

739

78.9

1.9

(75.1–82.6)

Kanawha County, West Virginia

489

77.7

2.5

(72.8–82.6)

Milwaukee County, Wisconsin

1,216

82.3

2.0

(78.3–86.2)

Laramie County, Wyoming

914

85.1

1.5

(82.1–88.0)

Natrona County, Wyoming

767

85.6

1.6

(82.4–88.7)

Median

85.6

Range

72.895.8

Abbreviations: SE = standard error; CI = confidence interval.

* Respondents were asked to rate general health as poor, fair, good, very good, or excellent. Respondents were classified into two groups: those who reported fair or poor health and those with good, very good, or excellent health.


TABLE 4. Estimated prevalence of adults aged ≥18 years who have health–care coverage,* by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

7,636

83.8

0.7

(82.4–85.2)

Alaska

1,947

82.4

1.5

(79.5–85.3)

Arizona

5,738

86.7

0.9

(84.9–88.4)

Arkansas

4,017

78.7

1.3

(76.2–81.2)

California

17,767

82.2

0.5

(81.2–83.1)

Colorado

11,625

83.6

0.7

(82.3–84.9)

Connecticut

6,762

90.2

0.7

(88.8–91.5)

Delaware

4,237

90.0

0.9

(88.2–91.8)

District of Columbia

3,972

93.0

0.7

(91.6–94.3)

Florida

35,008

83.0

0.6

(81.9–84.1)

Georgia

5,767

83.7

0.8

(82.2–85.2)

Hawaii

6,544

93.2

0.6

(92.1–94.4)

Idaho

6,989

80.9

0.8

(79.4–82.4)

Illinois

5,193

86.9

0.9

(85.2–88.6)

Indiana

10,178

85.0

0.6

(83.7–86.2)

Iowa

6,080

89.6

0.7

(88.3–90.9)

Kansas

8,554

87.5

0.6

(86.3–88.6)

Kentucky

8,039

83.1

0.8

(81.5–84.7)

Louisiana

7,024

79.2

0.8

(77.5–80.8)

Maine

8,110

88.0

0.6

(86.9–89.2)

Maryland

9,168

89.1

0.7

(87.8–90.4)

Massachusetts

16,285

95.7

0.3

(95.2–96.3)

Michigan

8,836

86.1

0.6

(84.9–87.3)

Minnesota

8,948

91.0

0.7

(89.6–92.3)

Mississippi

8,071

78.4

0.8

(76.8–80.1)

Missouri

5,410

85.0

1.0

(83.0–87.0)

Montana

7,277

81.6

0.9

(79.7–83.4)

Nebraska

16,349

86.3

0.8

(84.8–87.8)

Nevada

3,904

80.3

1.3

(77.7–82.9)

New Hampshire

6,037

88.7

0.6

(87.5–90.0)

New Jersey

12,406

88.5

0.5

(87.5–89.5)

New Mexico

6,969

80.9

0.9

(79.2–82.6)

New York

8,914

88.6

0.5

(87.6–89.7)

North Carolina

12,106

81.0

0.7

(79.6–82.4)

North Dakota

4,743

88.9

0.8

(87.3–90.6)

Ohio

9,826

87.2

0.6

(86.0–88.4)

Oklahoma

7,724

80.8

0.7

(79.5–82.1)

Oregon

5,051

83.5

1.0

(81.6–85.4)

Pennsylvania

11,203

88.5

0.5

(87.5–89.4)

Rhode Island

6,589

87.7

0.8

(86.2–89.3)

South Carolina

9,390

81.2

0.9

(79.4–83.1)

South Dakota

6,702

89.4

0.7

(88.1–90.7)

Tennessee

5,761

83.5

0.9

(81.6–85.3)

Texas

18,018

76.9

0.7

(75.5–78.3)

Utah

10,134

84.1

0.7

(82.8–85.4)

Vermont

6,779

91.6

0.6

(90.5–92.7)

Virginia

5,376

87.8

0.8

(86.2–89.4)

Washington

19,579

84.9

0.5

(84.0–85.8)

West Virginia

4,392

82.5

0.9

(80.7–84.3)

Wisconsin

4,765

89.3

0.8

(87.7–90.9)

Wyoming

5,824

83.5

0.8

(81.9–85.2)

Guam

779

77.8

2.0

(74.0–81.7)

Puerto Rico

3,541

92.1

0.7

(90.7–93.5)

Virgin Islands

1,815

69.4

1.6

(66.3–72.5)

Median

85.0

Range

69.4–95.7

Abbreviations: SE = standard error; CI = confidence interval.

* Includes health insurance, prepaid plans (e.g., health maintenance organizations), or government plans (e.g., Medicare).


TABLE 5. Estimated prevalence of adults aged ≥18 years who have health-care coverage,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

810

85.0

2.0

(81.0–88.9)

Albuquerque, New Mexico

2,186

85.2

1.5

(82.2–88.1)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

1,090

90.5

1.4

(87.7–93.2)

Amarillo, Texas

827

82.7

2.0

(78.7–86.6)

Arcadia, Florida

502

64.7

4.6

(55.6–73.7)

Asheville, North Carolina

547

81.9

2.4

(77.1–86.6)

Atlanta-Sandy Springs-Marietta, Georgia

2,342

84.7

1.4

(81.9–87.4)

Atlantic City, New Jersey

921

87.6

1.6

(84.4–90.7)

Augusta-Richmond County, Georgia-South Carolina

871

84.6

1.9

(80.8–88.3)

Augusta-Waterville, Maine

652

88.6

2.0

(84.6–92.5)

Austin-Round Rock, Texas

975

88.0

2.0

(84.0–91.9)

Baltimore-Towson, Maryland

3,336

89.6

1.0

(87.6–91.5)

Bangor, Maine

687

89.8

1.5

(86.8–92.7)

Barre, Vermont

671

92.0

1.8

(88.4–95.5)

Baton Rouge, Louisiana

1,201

83.9

1.6

(80.7–87.0)

Bethesda-Gaithersburg-Frederick, Maryland

1,640

89.8

1.4

(87.0–92.5)

Billings, Montana

534

85.8

2.3

(81.2–90.3)

Birmingham-Hoover, Alabama

1,197

82.2

1.9

(78.4–85.9)

Bismarck, North Dakota

769

92.5

1.3

(89.9–95.0)

Boise City-Nampa, Idaho

1,658

80.8

1.5

(77.8–83.7)

Boston-Quincy, Massachusetts

3,307

95.1

0.7

(93.7–96.4)

Bremerton-Silverdale, Washington

922

88.4

1.8

(84.8–91.9)

Bridgeport-Stamford-Norwalk, Connecticut

2,180

91.4

1.1

(89.2–93.5)

Buffalo-Cheektowaga-Tonawanda, New York

609

93.0

1.7

(89.6–96.3)

Burlington-South Burlington, Vermont

1,994

94.3

0.8

(92.7–95.8)

Cambridge-Newton-Framingham, Massachusetts

3,023

97.0

0.5

(96.0–97.9)

Camden, New Jersey

1,697

91.9

1.1

(89.7–94.0)

Canton-Massillon, Ohio

746

84.4

2.5

(79.5–89.3)

Cape Coral-Fort Myers, Florida

515

76.9

4.3

(68.4–85.3)

Casper, Wyoming

766

81.8

2.2

(77.4–86.1)

Cedar Rapids, Iowa

557

92.3

1.6

(89.1–95.4)

Charleston, West Virginia

769

84.3

2.2

(79.9–88.6)

Charleston-North Charleston, South Carolina

1,150

84.0

2.2

(79.6–88.3)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,710

81.2

1.7

(77.8–84.5)

Chattanooga, Tennessee-Georgia

536

80.4

3.1

(74.3–86.4)

Cheyenne, Wyoming

912

85.9

1.7

(82.5–89.2)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

5,009

85.4

1.0

(83.4–87.3)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,789

86.1

1.6

(82.9–89.2)

Cleveland-Elyria-Mentor, Ohio

1,097

89.2

1.5

(86.2–92.1)

Coeur d´Alene, Idaho

570

82.2

2.8

(76.7–87.6)

Colorado Springs, Colorado

1,162

85.3

1.7

(81.9–88.6)

Columbia, South Carolina

1,132

80.9

2.3

(76.3–85.4)

Columbus, Ohio

1,381

88.9

1.5

(85.9–91.8)

Concord, New Hampshire

640

88.2

2.2

(83.8–92.5)

Dallas-Plano-Irving, Texas

719

78.3

2.7

(73.0–83.5)

Dayton, Ohio

852

89.1

1.8

(85.5–92.6)

Del Rio, Texas

556

74.7

3.4

(68.0–81.3)

Deltona-Daytona Beach-Ormond Beach, Florida

861

82.1

2.3

(77.5–86.6)

Denver-Aurora, Colorado

4,828

86.9

0.8

(85.3–88.4)

Des Moines-West Des Moines, Iowa

1,003

91.5

1.2

(89.1–93.8)

Detroit-Livonia-Dearborn, Michigan

1,909

82.0

1.8

(78.4–85.5)

Dover, Delaware

1,251

90.5

1.6

(87.3–93.6)

Durham, North Carolina

1,034

86.1

1.9

(82.3–89.8)

Edison, New Jersey

2,263

90.7

1.0

(88.7–92.6)

El Paso, Texas

869

62.5

2.4

(57.7–67.2)

Eugene-Springfield, Oregon

510

79.1

3.4

(72.4–85.7)

Evansville, Indiana-Kentucky

535

89.8

1.9

(86.0–93.5)

Fargo, North Dakota-Minnesota

831

92.7

1.7

(89.3–96.0)

Farmington, New Mexico

684

74.5

2.7

(69.2–79.7)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

698

79.5

3.1

(73.4–85.5)

Fort Collins-Loveland, Colorado

560

87.7

2.8

(82.2–93.1)

Fort Wayne, Indiana

719

87.5

1.7

(84.1–90.8)

Fort Worth-Arlington, Texas

735

80.3

2.6

(75.2–85.3)


TABLE 5. (Continued) Estimated prevalence of adults aged ≥18 years who have health-care coverage,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

953

84.8

2.7

(79.5–90.0)

Grand Island, Nebraska

859

85.8

2.0

(81.8–89.7)

Grand Rapids-Wyoming, Michigan

619

89.8

1.7

(86.4–93.1)

Greensboro-High Point, North Carolina

1,157

86.4

1.7

(83.0–89.7)

Greenville, South Carolina

779

82.9

3.1

(76.8–88.9)

Hagerstown-Martinsburg, Maryland-West Virginia

644

84.0

2.6

(78.9–89.0)

Hartford-West Hartford-East Hartford, Connecticut

2,019

90.0

1.3

(87.4–92.5)

Hastings, Nebraska

589

91.3

1.8

(87.7–94.8)

Helena, Montana

642

89.3

2.0

(85.3–93.2)

Hickory-Morganton-Lenoir, North Carolina

597

78.1

2.6

(73.0–83.1)

Hilo, Hawaii

1,479

91.4

1.2

(89.0–93.7)

Hilton Head Island-Beaufort, South Carolina

803

87.4

2.0

(83.4–91.3)

Homosassa Springs, Florida

535

79.7

2.8

(74.2–85.1)

Honolulu, Hawaii

2,958

93.9

0.8

(92.3–95.4)

Houston-Sugar Land-Baytown, Texas

2,735

75.9

1.6

(72.7–79.0)

Huntington-Ashland, West Virginia-Kentucky-Ohio

657

84.2

2.1

(80.0–88.3)

Idaho Falls, Idaho

665

83.7

2.1

(79.5–87.8)

Indianapolis-Carmel, Indiana

2,252

86.5

1.3

(83.9–89.0)

Jackson, Mississippi

759

84.1

2.0

(80.1–88.0)

Jacksonville, Florida

2,583

85.4

1.8

(81.8–88.9)

Kahului-Wailuku, Hawaii

1,462

92.5

1.1

(90.3–94.6)

Kalispell, Montana

698

81.1

2.0

(77.1–85.0)

Kansas City, Missouri-Kansas

3,378

87.5

1.0

(85.5–89.4)

Kapaa, Hawaii

645

90.7

2.0

(86.7–94.6)

Kennewick-Richland-Pasco, Washington

645

82.9

2.1

(78.7–87.0)

Key West-Marathon, Florida

503

77.9

3.2

(71.6–84.1)

Kingsport-Bristol, Tennessee-Virginia

655

83.2

3.5

(76.3–90.0)

Knoxville, Tennessee

529

83.8

2.6

(78.7–88.8)

Lake City, Florida

565

77.6

2.9

(71.9–83.2)

Lakeland-Winter Haven, Florida

522

76.2

3.0

(70.3–82.0)

Laredo, Texas

924

51.2

2.2

(46.8–55.5)

Las Cruces, New Mexico

503

72.9

3.5

(66.0–79.7)

Las Vegas-Paradise, Nevada

1,270

80.3

1.8

(76.7–83.8)

Lebanon, New Hampshire-Vermont

1,551

87.0

1.4

(84.2–89.7)

Lewiston, Idaho-Washington

602

85.9

2.5

(81.0–90.8)

Lewiston-Auburn, Maine

500

88.8

2.0

(84.8–92.7)

Lincoln, Nebraska

1,132

86.9

2.1

(82.7–91.0)

Little Rock-North Little Rock, Arkansas

822

86.6

2.2

(82.2–90.9)

Los Angeles-Long Beach-Glendale, California

2,614

77.3

1.2

(74.9–79.6)

Louisville, Kentucky-Indiana

908

86.3

1.8

(82.7–89.8)

Lubbock, Texas

776

77.7

2.8

(72.2–83.1)

Manchester-Nashua, New Hampshire

1,421

90.1

1.3

(87.5–92.6)

McAllen-Edinburg-Mission, Texas

595

45.7

2.8

(40.2–51.1)

Memphis, Tennessee-Mississippi-Arkansas

1,155

82.4

2.8

(76.9–87.8)

Miami-Fort Lauderdale-Miami Beach, Florida

1,029

76.5

2.2

(72.1–80.8)

Midland, Texas

524

84.5

2.4

(79.7–89.2)

Milwaukee-Waukesha-West Allis, Wisconsin

1,527

90.3

1.6

(87.1–93.4)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

4,859

91.0

1.1

(88.8–93.1)

Minot, North Dakota

553

91.5

1.5

(88.5–94.4)

Mobile, Alabama

675

76.8

2.9

(71.1–82.4)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

555

77.0

3.0

(71.1–82.8)

Naples-Marco Island, Florida

519

80.7

3.6

(73.6–87.7)

Nashville-Davidson-Murfreesboro, Tennessee

830

86.0

2.2

(81.6–90.3)

Nassau-Suffolk, New York

1,071

90.6

1.4

(87.8–93.3)

Newark-Union, New Jersey-Pennsylvania

3,317

85.9

1.2

(83.5–88.2)

New Haven-Milford, Connecticut

1,669

90.2

1.3

(87.6–92.7)

New Orleans-Metairie-Kenner, Louisiana

1,537

79.7

1.8

(76.1–83.2)

New York-White Plains-Wayne, New York-New Jersey

6,177

85.6

0.8

(84.0–87.1)

Norfolk, Nebraska

675

90.1

1.8

(86.5–93.6)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

577

1,134

90.3

81.9

1.9

2.3

(86.5–94.0)

(77.3–86.4)

Ocala, Florida

589

80.3

2.8

(74.8–85.7)

Ocean City, New Jersey

519

88.2

2.4

(83.4–92.9)


TABLE 5. (Continued) Estimated prevalence of adults aged ≥18 years who have health-care coverage,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

1,696

86.8

1.6

(83.6–89.9)

Oklahoma City, Oklahoma

2,473

79.9

1.2

(77.5–82.2)

Olympia, Washington

773

85.7

2.2

(81.3–90.0)

Omaha-Council Bluffs, Nebraska-Iowa

2,350

85.6

1.4

(82.8–88.3)

Orlando-Kissimmee, Florida

2,667

81.5

1.3

(78.9–84.0)

Palm Bay-Melbourne-Titusville, Florida

527

82.4

3.1

(76.3–88.4)

Panama City-Lynn Haven, Florida

543

84.1

2.4

(79.3–88.8)

Peabody, Massachusetts

2,134

93.7

1.5

(90.7–96.6)

Pensacola-Ferry Pass-Brent, Florida

1,014

82.2

2.1

(78.0–86.3)

Philadelphia, Pennsylvania

2,365

87.1

1.3

(84.5–89.6)

Phoenix-Mesa-Scottsdale, Arizona

1,687

87.2

1.4

(84.4–89.9)

Pittsburgh, Pennsylvania

2,417

89.1

1.1

(86.9–91.2)

Portland-South Portland-Biddeford, Maine

2,626

90.6

0.9

(88.8–92.3)

Portland-Vancouver-Beaverton, Oregon-Washington

3,395

86.1

1.2

(83.7–88.4)

Port St. Lucie-Fort Pierce, Florida

1,023

80.3

2.4

(75.5–85.0)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

9,517

89.7

0.7

(88.3–91.0)

Provo-Orem, Utah

1,173

85.5

1.8

(81.9–89.0)

Raleigh-Cary, North Carolina

1,024

86.1

1.7

(82.7–89.4)

Rapid City, South Dakota

846

88.2

1.6

(85.0–91.3)

Reno-Sparks, Nevada

1,326

82.4

1.5

(79.4–85.3)

Richmond, Virginia

800

87.2

2.2

(82.8–91.5)

Riverside-San Bernardino-Ontario, California

1,879

76.6

1.5

(73.6–79.5)

Rochester, New York

566

90.9

2.4

(86.1–95.6)

Rockingham County-Strafford County, New Hampshire

1,606

90.8

1.0

(88.8–92.7)

Rutland, Vermont

659

88.3

2.2

(83.9–92.6)

Sacramento-Arden-Arcade-Roseville, California

1,293

87.2

1.8

(83.6–90.7)

St. Louis, Missouri-Illinois

1,745

86.4

1.8

(82.8–89.9)

Salt Lake City, Utah

4,299

83.1

0.9

(81.3–84.8)

San Antonio, Texas

1,129

82.8

2.0

(78.8–86.7)

San Diego-Carlsbad-San Marcos, California

1,695

82.3

1.5

(79.3–85.2)

San Francisco-Oakland-Fremont, California

2,357

90.7

0.9

(88.9–92.4)

San Jose-Sunnyvale-Santa Clara, California

911

89.4

1.6

(86.2–92.5)

Santa Ana-Anaheim-Irvine, California

1,446

84.3

1.5

(81.3–87.2)

Santa Fe, New Mexico

609

79.3

2.6

(74.2–84.3)

Scottsbluff, Nebraska

759

88.5

1.7

(85.1–91.8)

Scranton-Wilkes-Barre, Pennsylvania

553

87.7

2.3

(83.1–92.2)

Seaford, Delaware

1,238

87.9

1.8

(84.3–91.4)

Seattle-Bellevue-Everett, Washington

4,691

85.9

0.9

(84.1–87.6)

Sebring, Florida

520

79.8

3.0

(73.9–85.6)

Shreveport-Bossier City, Louisiana

681

77.6

2.8

(72.1–83.0)

Sioux City, Iowa-Nebraska-South Dakota

1,220

86.4

2.7

(81.1–91.6)

Sioux Falls, South Dakota

838

93.4

1.3

(90.8–95.9)

Spokane, Washington

1,212

86.0

1.7

(82.6–89.3)

Springfield, Massachusetts

2,050

94.0

1.4

(91.2–96.7)

Tacoma, Washington

1,719

87.7

1.2

(85.3–90.0)

Tallahassee, Florida

2,046

84.8

2.1

(80.6–88.9)

Tampa-St. Petersburg-Clearwater, Florida

2,033

85.2

1.6

(82.0–88.3)

Toledo, Ohio

863

87.8

1.6

(84.6–90.9)

Topeka, Kansas

835

87.9

1.8

(84.3–91.4)

Trenton-Ewing, New Jersey

503

93.8

1.6

(90.6–96.9)

Tucson, Arizona

698

86.6

2.5

(81.7–91.5)

Tulsa, Oklahoma

2,137

80.2

1.3

(77.6–82.7)

Tuscaloosa, Alabama

516

79.8

3.1

(73.7–85.8)

Twin Falls, Idaho

539

77.3

3.2

(71.0–83.5)

Tyler, Texas

673

76.3

3.3

(69.8–82.7)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

1,103

85.7

2.3

(81.1–90.2)

Warren-Troy-Farmington Hills, Michigan

1,797

88.4

1.4

(85.6–91.1)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia

6,438

91.3

0.9

(89.5–93.0)

Wauchula, Florida

530

67.0

4.0

(59.1–74.8)

West Palm Beach-Boca Raton-Boynton Beach, Florida

551

89.5

2.2

(85.1–93.8)

Wichita, Kansas

1,848

87.8

1.3

(85.2–90.3)

Wichita Falls, Texas

828

77.1

2.6

(72.0–82.1)

Wilmington, Delaware-Maryland-New Jersey

2,214

90.2

1.1

(88.0–92.3)


TABLE 5. (Continued) Estimated prevalence of adults aged ≥18 years who have health-care coverage,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

2,098

95.9

0.7

(94.5–97.2)

Yakima, Washington

737

78.1

2.4

(73.3–82.8)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

1,062

87.1

2.2

(82.7–91.4)

Median

85.9

Range

45.7-97.0

Abbreviations: SE = standard error; CI = confidence interval.

* Includes health insurance, prepaid plans (e.g., health maintenance organizations), or government plans (e.g., Medicare).

Metropolitan division.


TABLE6. Estimated prevalence of adults aged ≥18 years who have health care coverage,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

601

79.3

2.7

(74.0–84.5)

Mobile County, Alabama

675

76.8

2.9

(71.1–82.4)

Tuscaloosa County, Alabama

433

79.7

3.3

(73.2–86.1)

Maricopa County, Arizona

1,300

86.8

1.5

(83.8–89.7)

Pima County, Arizona

698

86.6

2.5

(81.7–91.5)

Pinal County, Arizona

387

91.8

2.0

(87.8–95.7)

Benton County, Arkansas

360

88.1

2.9

(82.4–93.7)

Pulaski County, Arkansas

559

87.8

2.7

(82.5–93.0)

Washington County, Arkansas

297

81.5

3.9

(73.8–89.1)

Alameda County, California

757

90.1

1.5

(87.1–93.0)

Contra Costa County, California

631

89.8

1.7

(86.4–93.1)

Los Angeles County, California

2,614

77.3

1.2

(74.9–79.6)

Orange County, California

1,446

84.3

1.5

(81.3–87.2)

Placer County, California

255

88.7

3.0

(82.8–94.5)

Riverside County, California

932

77.7

2.1

(73.5–81.8)

Sacramento County, California

751

90.0

1.7

(86.6–93.3)

San Bernardino County, California

947

75.9

2.2

(71.5–80.2)

San Diego County, California

1,695

82.3

1.5

(79.3–85.2)

San Francisco County, California

385

95.9

1.2

(93.5–98.2)

San Mateo County, California

385

90.2

2.4

(85.4–94.9)

Santa Clara County, California

873

89.5

1.6

(86.3–92.6)

Adams County, Colorado

808

82.4

2.1

(78.2–86.5)

Arapahoe County, Colorado

872

88.2

1.8

(84.6–91.7)

Denver County, Colorado

875

84.6

2.1

(80.4–88.7)

Douglas County, Colorado

578

93.0

1.6

(89.8–96.1)

El Paso County, Colorado

1,029

84.7

1.8

(81.1–88.2)

Jefferson County, Colorado

1,167

87.5

1.8

(83.9–91.0)

Larimer County, Colorado

560

87.7

2.8

(82.2–93.1)

Fairfield County, Connecticut

2,180

91.4

1.1

(89.2–93.5)

Hartford County, Connecticut

1,502

89.9

1.4

(87.1–92.6)

Middlesex County, Connecticut

262

92.1

2.6

(87.0–97.1)

New Haven County, Connecticut

1,669

90.2

1.3

(87.6–92.7)

Tolland County, Connecticut

255

91.5

2.8

(86.0–96.9)

Kent County, Delaware

1,251

90.5

1.6

(87.3–93.6)

New Castle County, Delaware

1,748

90.6

1.2

(88.2–92.9)

Sussex County, Delaware

1,238

87.9

1.8

(84.3–91.4)

District of Columbia, District of Columbia

3,972

92.7

0.8

(91.1–94.2)

Alachua County, Florida

536

85.3

2.8

(79.8–90.7)

Baker County, Florida

508

82.2

3.3

(75.7–88.6)

Bay County, Florida

543

84.1

2.4

(79.3–88.8)

Brevard County, Florida

527

82.4

3.1

(76.3–88.4)

Broward County, Florida

524

78.7

2.8

(73.2–84.1)

Citrus County, Florida

535

79.7

2.8

(74.2–85.1)

Clay County, Florida

486

83.6

2.7

(78.3–88.8)

Collier County, Florida

519

80.7

3.6

(73.6–87.7)

Columbia County, Florida

565

77.6

2.9

(71.9–83.2)

DeSoto County, Florida

502

64.7

4.6

(55.6–73.7)

Duval County, Florida

547

87.7

2.1

(83.5–91.8)

Escambia County, Florida

520

80.3

3.1

(74.2–86.3)

Gadsden County, Florida

510

79.8

2.7

(74.5–85.0)

Gilchrist County, Florida

417

NA

NA

NA

Hardee County, Florida

530

67.0

4.0

(59.1–74.8)

Hernando County, Florida

490

84.9

2.8

(79.4–90.3)

Highlands County, Florida

520

79.8

3.0

(73.9–85.6)

Hillsborough County, Florida

506

84.5

2.5

(79.6–89.4)

Jefferson County, Florida

502

78.2

3.6

(71.1–85.2)

Lake County, Florida

606

88.1

2.4

(83.3–92.8)

Lee County, Florida

515

76.9

4.3

(68.4–85.3)

Leon County, Florida

498

88.4

2.4

(83.6–93.1)

Manatee County, Florida

525

82.7

3.5

(75.8–89.5)

Marion County, Florida

589

80.3

2.8

(74.8–85.7)

Martin County, Florida

519

87.2

2.4

(82.4–91.9)

Miami-Dade County, Florida

505

77.2

2.9

(71.5–82.8)


TABLE 6. (Continued) Estimated prevalence of adults aged ≥18 years who have health care coverage,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

503

77.9

3.2

(71.6–84.1)

Nassau County, Florida

521

NA

NA

NA

Orange County, Florida

1,002

82.2

1.8

(78.6–85.7)

Osceola County, Florida

570

75.9

3.0

(70.0–81.7)

Palm Beach County, Florida

551

89.5

2.2

(85.1–93.8)

Pasco County, Florida

540

86.2

3.1

(80.1–92.2)

Pinellas County, Florida

497

86.8

2.6

(81.7–91.8)

Polk County, Florida

522

76.2

3.0

(70.3–82.0)

St. Johns County, Florida

521

92.0

1.7

(88.6–95.3)

St. Lucie County, Florida

504

78.3

3.0

(72.4–84.1)

Santa Rosa County, Florida

494

85.1

2.3

(80.5–89.6)

Sarasota County, Florida

609

81.4

2.8

(75.9–86.8)

Seminole County, Florida

489

81.1

2.6

(76.0–86.1)

Volusia County, Florida

861

82.1

2.3

(77.5–86.6)

Wakulla County, Florida

536

81.4

3.3

(74.9–87.8)

Cobb County, Georgia

253

95.6

1.3

(93.0–98.1)

DeKalb County, Georgia

342

83.2

3.1

(77.1–89.2)

Fulton County, Georgia

328

87.6

3.0

(81.7–93.4)

Gwinnett County, Georgia

251

88.1

3.4

(81.4–94.7)

Hawaii County, Hawaii

1,479

91.4

1.2

(89.0–93.7)

Honolulu County, Hawaii

2,958

93.9

0.8

(92.3–95.4)

Kauai County, Hawaii

645

90.7

2.0

(86.7–94.6)

Maui County, Hawaii

1,462

92.5

1.1

(90.3–94.6)

Ada County, Idaho

861

85.0

2.0

(81.0–88.9)

Bonneville County, Idaho

522

85.1

2.3

(80.5–89.6)

Canyon County, Idaho

619

73.7

2.7

(68.4–78.9)

Kootenai County, Idaho

570

82.2

2.8

(76.7–87.6)

Nez Perce County, Idaho

381

85.6

2.8

(80.1–91.0)

Twin Falls County, Idaho

434

80.5

3.1

(74.4–86.5)

Cook County, Illinois

2,882

83.6

1.3

(81.0–86.1)

DuPage County, Illinois

256

91.3

2.5

(86.4–96.2)

Allen County, Indiana

585

86.1

2.0

(82.1–90.0)

Lake County, Indiana

999

81.7

2.5

(76.8–86.6)

Marion County, Indiana

1,463

83.3

1.8

(79.7–86.8)

Linn County, Iowa

494

92.0

1.8

(88.4–95.5)

Polk County, Iowa

765

91.5

1.4

(88.7–94.2)

Johnson County, Kansas

1,416

93.0

1.1

(90.8–95.1)

Sedgwick County, Kansas

1,435

87.6

1.4

(84.8–90.3)

Shawnee County, Kansas

624

88.0

2.2

(83.6–92.3)

Wyandotte County, Kansas

607

72.9

3.1

(66.8–78.9)

Jefferson County, Kentucky

410

84.4

2.6

(79.3–89.4)

Caddo Parish, Louisiana

446

79.0

2.9

(73.3–84.6)

East Baton Rouge Parish, Louisiana

722

81.9

2.3

(77.3–86.4)

Jefferson Parish, Louisiana

595

80.3

2.3

(75.7–84.8)

Orleans Parish, Louisiana

377

82.3

2.9

(76.6–87.9)

St. Tammany Parish, Louisiana

372

82.7

3.8

(75.2–90.1)

Androscoggin County, Maine

500

88.8

2.0

(84.8–92.7)

Cumberland County, Maine

1,385

91.1

1.5

(88.1–94.0)

Kennebec County, Maine

652

88.6

2.0

(84.6–92.5)

Penobscot County, Maine

687

89.8

1.5

(86.8–92.7)

Sagadahoc County, Maine

299

88.3

2.5

(83.4–93.2)

York County, Maine

942

90.1

1.4

(87.3–92.8)

Anne Arundel County, Maryland

601

91.4

1.9

(87.6–95.1)

Baltimore County, Maryland

1,052

91.2

1.4

(88.4–93.9)

Cecil County, Maryland

270

90.1

2.4

(85.3–94.8)

Charles County, Maryland

349

92.8

1.8

(89.2–96.3)

Frederick County, Maryland

577

91.0

1.9

(87.2–94.7)

Harford County, Maryland

280

93.5

1.8

(89.9–97.0)

Howard County, Maryland

341

95.1

1.7

(91.7–98.4)

Montgomery County, Maryland

1,063

89.4

1.7

(86.0–92.7)

Prince George´s County, Maryland

790

87.8

1.9

(84.0–91.5)

Queen Anne´s County, Maryland

294

95.6

1.7

(92.2–98.9)

Washington County, Maryland

407

83.4

3.0

(77.5–89.2)


TABLE 6. (Continued) Estimated prevalence of adults aged ≥18 years who have health care coverage,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

533

84.2

2.4

(79.4–88.9)

Bristol County, Massachusetts

2,928

94.7

1.1

(92.5–96.8)

Essex County, Massachusetts

2,134

94.0

1.4

(91.2–96.7)

Hampden County, Massachusetts

1,591

92.5

2.0

(88.5–96.4)

Hampshire County, Massachusetts

275

95.6

2.5

(90.3–100.0

Middlesex County, Massachusetts

3,023

96.8

0.7

(95.4–98.1)

Norfolk County, Massachusetts

860

97.2

0.7

(95.8–98.5)

Plymouth County, Massachusetts

687

95.8

1.6

(92.6–98.9)

Suffolk County, Massachusetts

1,760

93.8

1.2

(91.4–96.1)

Worcester County, Massachusetts

2,098

95.9

0.7

(94.5–97.2)

Kent County, Michigan

444

90.6

2.1

(86.4–94.7)

Macomb County, Michigan

515

89.9

2.2

(85.5–94.2)

Oakland County, Michigan

933

88.5

1.7

(85.1–91.8)

Wayne County, Michigan

1,909

82.0

1.8

(78.4–85.5)

Anoka County, Minnesota

395

93.5

1.7

(90.1–96.8)

Dakota County, Minnesota

571

95.7

1.2

(93.3–98.0)

Hennepin County, Minnesota

2,053

91.9

1.5

(88.9–94.8)

Ramsey County, Minnesota

917

92.3

2.2

(87.9–96.6)

Washington County, Minnesota

258

95.4

1.9

(91.6–99.1)

DeSoto County, Mississippi

370

83.3

3.3

(76.8–89.7)

Hinds County, Mississippi

338

79.2

3.2

(72.9–85.4)

Jackson County, Missouri

524

86.3

2.1

(82.1–90.4)

St. Louis County, Missouri

601

88.7

2.3

(84.1–93.2)

St. Louis city, Missouri

647

78.0

4.1

(69.9–86.0)

Flathead County, Montana

698

81.1

2.0

(77.1–85.0)

Lewis and Clark County, Montana

533

90.0

1.9

(86.2–93.7)

Yellowstone County, Montana

483

86.0

2.3

(81.4–90.5)

Adams County, Nebraska

480

91.1

1.9

(87.3–94.8)

Dakota County, Nebraska

741

77.5

2.3

(72.9–82.0)

Douglas County, Nebraska

951

86.7

1.9

(82.9–90.4)

Hall County, Nebraska

585

83.0

2.6

(77.9–88.0)

Lancaster County, Nebraska

847

86.4

2.3

(81.8–90.9)

Lincoln County, Nebraska

545

90.2

2.0

(86.2–94.1)

Madison County, Nebraska

467

90.1

2.3

(85.5–94.6)

Sarpy County, Nebraska

575

85.6

2.8

(80.1–91.0)

Scotts Bluff County, Nebraska

736

88.5

1.8

(84.9–92.0)

Seward County, Nebraska

285

93.5

2.1

(89.3–97.6)

Clark County, Nevada

1,270

80.3

1.8

(76.7–83.8)

Washoe County, Nevada

1,306

82.6

1.5

(79.6–85.5)

Grafton County, New Hampshire

516

85.1

2.5

(80.2–90.0)

Hillsborough County, New Hampshire

1,421

90.1

1.3

(87.5–92.6)

Merrimack County, New Hampshire

640

88.2

2.2

(83.8–92.5)

Rockingham County, New Hampshire

1,020

92.4

1.1

(90.2–94.5)

Strafford County, New Hampshire

586

87.9

1.9

(84.1–91.6)

Atlantic County, New Jersey

921

87.6

1.6

(84.4–90.7)

Bergen County, New Jersey

625

90.2

1.8

(86.6–93.7)

Burlington County, New Jersey

568

96.8

0.7

(95.4–98.1)

Camden County, New Jersey

603

88.8

2.3

(84.2–93.3)

Cape May County, New Jersey

519

88.2

2.4

(83.4–92.9)

Essex County, New Jersey

1,022

80.9

1.9

(77.1–84.6)

Gloucester County, New Jersey

526

91.1

2.2

(86.7–95.4)

Hudson County, New Jersey

1,098

80.5

1.7

(77.1–83.8)

Hunterdon County, New Jersey

514

96.0

1.1

(93.8–98.1)

Mercer County, New Jersey

503

93.8

1.6

(90.6–96.9)

Middlesex County, New Jersey

632

89.5

1.8

(85.9–93.0)

Monmouth County, New Jersey

563

93.5

1.7

(90.1–96.8)

Morris County, New Jersey

699

94.4

1.3

(91.8–96.9)

Ocean County, New Jersey

532

89.6

1.9

(85.8–93.3)

Passaic County, New Jersey

502

79.8

2.8

(74.3–85.2)

Somerset County, New Jersey

536

91.4

1.6

(88.2–94.5)

Sussex County, New Jersey

500

93.3

1.5

(90.3–96.2)

Union County, New Jersey

522

84.8

2.4

(80.0–89.5)

Warren County, New Jersey

481

93.8

1.4

(91.0–96.5)


TABLE 6. (Continued) Estimated prevalence of adults aged ≥18 years who have health care coverage,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

1,262

86.4

1.8

(82.8–89.9)

Dona Ana County, New Mexico

503

72.9

3.5

(66.0–79.7)

Sandoval County, New Mexico

517

85.4

2.6

(80.3–90.4)

San Juan County, New Mexico

684

74.5

2.7

(69.2–79.7)

Santa Fe County, New Mexico

609

79.3

2.6

(74.2–84.3)

Valencia County, New Mexico

348

77.6

3.6

(70.5–84.6)

Bronx County, New York

435

81.2

3.0

(75.3–87.0)

Erie County, New York

479

93.7

1.6

(90.5–96.8)

Kings County, New York

907

85.0

1.8

(81.4–88.5)

Monroe County, New York

381

92.2

2.7

(86.9–97.4)

Nassau County, New York

477

92.9

1.6

(89.7–96.0)

New York County, New York

1,034

87.5

1.8

(83.9–91.0)

Queens County, New York

792

87.3

2.0

(83.3–91.2)

Suffolk County, New York

594

89.5

2.0

(85.5–93.4)

Westchester County, New York

384

93.0

1.8

(89.4–96.5)

Buncombe County, North Carolina

263

79.3

3.5

(72.4–86.1)

Cabarrus County, North Carolina

307

82.8

3.2

(76.5–89.0)

Catawba County, North Carolina

294

79.0

3.5

(72.1–85.8)

Durham County, North Carolina

620

86.0

2.4

(81.2–90.7)

Gaston County, North Carolina

267

74.6

4.5

(65.7–83.4)

Guilford County, North Carolina

692

87.4

2.1

(83.2–91.5)

Johnston County, North Carolina

275

80.4

3.4

(73.7–87.0)

Mecklenburg County, North Carolina

609

84.6

2.3

(80.0–89.1)

Orange County, North Carolina

299

87.9

2.7

(82.6–93.1)

Randolph County, North Carolina

396

81.4

2.9

(75.7–87.0)

Union County, North Carolina

349

81.9

3.4

(75.2–88.5)

Wake County, North Carolina

710

87.3

2.2

(82.9–91.6)

Burleigh County, North Dakota

559

92.7

1.6

(89.5–95.8)

Cass County, North Dakota

777

91.3

2.3

(86.7–95.8)

Ward County, North Dakota

462

91.5

1.7

(88.1–94.8)

Cuyahoga County, Ohio

718

86.6

2.1

(82.4–90.7)

Franklin County, Ohio

677

89.9

2.1

(85.7–94.0)

Hamilton County, Ohio

722

89.7

1.7

(86.3–93.0)

Lucas County, Ohio

729

84.9

2.1

(80.7–89.0)

Mahoning County, Ohio

730

90.1

1.7

(86.7–93.4)

Montgomery County, Ohio

703

88.1

1.9

(84.3–91.8)

Stark County, Ohio

715

84.9

2.5

(80.0–89.8)

Summit County, Ohio

705

86.4

2.1

(82.2–90.5)

Cleveland County, Oklahoma

433

87.9

2.3

(83.3–92.4)

Oklahoma County, Oklahoma

1,438

76.0

1.7

(72.6–79.3)

Tulsa County, Oklahoma

1,516

79.8

1.4

(77.0–82.5)

Clackamas County, Oregon

450

88.3

2.4

(83.5–93.0)

Lane County, Oregon

510

79.1

3.4

(72.4–85.7)

Multnomah County, Oregon

817

87.2

2.2

(82.8–91.5)

Washington County, Oregon

583

86.6

2.5

(81.7–91.5)

Allegheny County, Pennsylvania

1,379

90.7

1.3

(88.1–93.2)

Lehigh County, Pennsylvania

283

90.5

2.1

(86.3–94.6)

Luzerne County, Pennsylvania

312

85.6

3.3

(79.1–92.0)

Montgomery County, Pennsylvania

347

87.5

3.0

(81.6–93.3)

Northampton County, Pennsylvania

260

88.7

3.9

(81.0–96.3)

Philadelphia County, Pennsylvania

1,401

84.5

1.6

(81.3–87.6)

Westmoreland County, Pennsylvania

337

89.0

2.7

(83.7–94.2)

Bristol County, Rhode Island

278

92.9

2.0

(88.9–96.8)

Kent County, Rhode Island

939

89.9

1.6

(86.7–93.0)

Newport County, Rhode Island

487

92.7

2.4

(87.9–97.4)

Providence County, Rhode Island

4,138

85.3

1.1

(83.1–87.4)

Washington County, Rhode Island

747

90.5

2.0

(86.5–94.4)

Aiken County, South Carolina

473

87.9

2.2

(83.5–92.2)

Beaufort County, South Carolina

681

89.9

2.0

(85.9–93.8)

Berkeley County, South Carolina

358

NA

NA

NA

Charleston County, South Carolina

668

84.8

2.7

(79.5–90.0)

Greenville County, South Carolina

495

87.2

2.8

(81.7–92.6)

Horry County, South Carolina

555

77.0

3.0

(71.1–82.8)


TABLE 6. (Continued) Estimated prevalence of adults aged ≥18 years who have health care coverage,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

660

81.3

3.5

(74.4–88.1)

Minnehaha County, South Dakota

605

93.4

1.6

(90.2–96.5)

Pennington County, South Dakota

666

87.4

1.9

(83.6–91.1)

Davidson County, Tennessee

418

84.5

2.7

(79.2–89.7)

Hamilton County, Tennessee

386

82.5

3.3

(76.0–88.9)

Knox County, Tennessee

370

87.3

2.7

(82.0–92.5)

Shelby County, Tennessee

394

88.3

3.2

(82.0–94.5)

Sullivan County, Tennessee

461

86.9

2.6

(81.8–91.9)

Bexar County, Texas

970

85.3

1.6

(82.1–88.4)

Dallas County, Texas

392

75.0

3.7

(67.7–82.2)

El Paso County, Texas

869

62.5

2.4

(57.7–67.2)

Fort Bend County, Texas

925

86.4

1.6

(83.2–89.5)

Harris County, Texas

1,455

74.3

1.8

(70.7–77.8)

Hidalgo County, Texas

595

45.7

2.8

(40.2–51.1)

Lubbock County, Texas

752

77.3

2.8

(71.8–82.7)

Midland County, Texas

524

84.5

2.4

(79.7–89.2)

Potter County, Texas

337

78.6

3.2

(72.3–84.8)

Randall County, Texas

459

86.1

2.4

(81.3–90.8)

Smith County, Texas

673

76.3

3.3

(69.8–82.7)

Tarrant County, Texas

602

81.7

2.6

(76.6–86.7)

Travis County, Texas

762

88.0

2.5

(83.1–92.9)

Val Verde County, Texas

556

74.7

3.4

(68.0–81.3)

Webb County, Texas

924

51.2

2.2

(46.8–55.5)

Wichita County, Texas

677

76.7

2.9

(71.0–82.3)

Davis County, Utah

878

87.7

2.1

(83.5–91.8)

Salt Lake County, Utah

3,283

82.9

1.0

(80.9–84.8)

Summit County, Utah

453

84.4

2.9

(78.7–90.0)

Tooele County, Utah

563

84.9

2.2

(80.5–89.2)

Utah County, Utah

1,110

85.3

1.8

(81.7–88.8)

Weber County, Utah

773

86.6

2.2

(82.2–90.9)

Chittenden County, Vermont

1,427

94.4

1.0

(92.4–96.3)

Franklin County, Vermont

486

93.5

1.2

(91.1–95.8)

Orange County, Vermont

357

90.1

2.2

(85.7–94.4)

Rutland County, Vermont

659

88.3

2.2

(83.9–92.6)

Washington County, Vermont

671

92.0

1.8

(88.4–95.5)

Windsor County, Vermont

678

88.6

1.8

(85.0–92.1)

Benton County, Washington

390

90.2

2.0

(86.2–94.1)

Clark County, Washington

1,090

84.8

2.0

(80.8–88.7)

Franklin County, Washington

255

69.3

4.4

(60.6–77.9)

King County, Washington

3,039

86.8

1.1

(84.6–88.9)

Kitsap County, Washington

922

88.4

1.8

(84.8–91.9)

Pierce County, Washington

1,719

87.9

1.2

(85.5–90.2)

Snohomish County, Washington

1,652

85.0

1.4

(82.2–87.7)

Spokane County, Washington

1,212

86.0

1.7

(82.6–89.3)

Thurston County, Washington

773

85.7

2.2

(81.3–90.0)

Yakima County, Washington

737

78.1

2.4

(73.3–82.8)

Kanawha County, West Virginia

489

87.6

2.5

(82.7–92.5)

Milwaukee County, Wisconsin

1,213

87.9

2.1

(83.7–92.0)

Laramie County, Wyoming

912

85.9

1.7

(82.5–89.2)

Natrona County, Wyoming

766

81.8

2.2

(77.4–86.1)

Median

87.2

Range

45.7-97.2

Abbreviations: SE = standard error; CI = confidence interval.

* Includes health insurance, prepaid plans (e.g., health maintenance organizations), or government plans (e.g., Medicare).

Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 7. Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

7,553

64.7

0.8

(63.1–66.3)

Alaska

1,947

69.4

1.6

(66.2–72.6)

Arizona

5,739

69.5

1.1

(67.2–71.7)

Arkansas

4,007

61.1

1.3

(58.6–63.6)

California

17,773

69.6

0.5

(68.6–70.6)

Colorado

11,586

68.0

0.7

(66.6–69.4)

Connecticut

6,755

81.6

0.8

(80.0–83.1)

Delaware

4,235

74.2

1.0

(72.3–76.1)

District of Columbia

3,962

75.3

1.0

(73.4–77.2)

Florida

34,979

66.4

0.6

(65.2–67.6)

Georgia

5,755

70.2

0.9

(68.4–71.9)

Hawaii

6,542

72.6

0.9

(70.9–74.3)

Idaho

6,991

69.3

0.8

(67.7–70.9)

Illinois

5,199

69.7

0.9

(67.8–71.5)

Indiana

10,173

68.8

0.7

(67.4–70.2)

Iowa

6,074

76.0

0.8

(74.4–77.6)

Kansas

8,510

72.9

0.7

(71.5–74.2)

Kentucky

8,005

63.2

1.0

(61.3–65.1)

Louisiana

6,979

63.9

0.8

(62.3–65.6)

Maine

8,107

68.7

0.7

(67.3–70.1)

Maryland

9,129

75.5

0.7

(74.1–76.9)

Massachusetts

16,228

81.7

0.5

(80.7–82.7)

Michigan

8,839

72.5

0.7

(71.1–73.9)

Minnesota

8,922

78.9

0.8

(77.2–80.5)

Mississippi

8,043

58.1

0.9

(56.4–59.8)

Missouri

5,416

64.3

1.1

(62.2–66.4)

Montana

7,281

61.1

1.0

(59.1–63.0)

Nebraska

16,331

69.5

0.8

(67.9–71.1)

Nevada

3,901

67.2

1.4

(64.6–69.9)

New Hampshire

6,026

76.7

0.8

(75.2–78.2)

New Jersey

12,361

76.0

0.6

(74.9–77.2)

New Mexico

6,960

67.2

0.9

(65.4–68.9)

New York

8,920

72.5

0.7

(71.2–73.8)

North Carolina

12,073

68.4

0.7

(67.0–69.8)

North Dakota

4,747

72.6

0.9

(70.8–74.5)

Ohio

9,809

71.5

0.7

(70.1–72.9)

Oklahoma

7,710

57.2

0.8

(55.6–58.7)

Oregon

5,035

70.4

1.0

(68.5–72.3)

Pennsylvania

11,187

72.3

0.6

(71.1–73.5)

Rhode Island

6,577

78.1

0.8

(76.5–79.7)

South Carolina

9,355

63.4

1.0

(61.5–65.3)

South Dakota

6,710

73.5

0.8

(71.9–75.2)

Tennessee

5,727

66.3

1.1

(64.2–68.4)

Texas

17,988

61.7

0.8

(60.2–63.2)

Utah

10,126

74.3

0.7

(73.0–75.6)

Vermont

6,773

75.6

0.7

(74.1–77.0)

Virginia

5,362

78.4

1.0

(76.5–80.3)

Washington

19,564

72.1

0.5

(71.1–73.1)

West Virginia

4,356

60.5

1.0

(58.6–62.4)

Wisconsin

4,767

75.1

1.0

(73.0–77.1)

Wyoming

5,828

69.0

0.9

(67.2–70.7)

Guam

780

61.2

2.2

(56.9–65.4)

Puerto Rico

3,504

69.8

1.0

(67.8–71.9)

Virgin Islands

1,808

57.7

1.6

(54.6–60.8)

Median

69.7

Range

57.2-81.7

Abbreviations: SE = standard error; CI = confidence interval.


TABLE 8. Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

809

75.6

2.2

(71.2–79.9)

Albuquerque, New Mexico

2,192

70.4

1.6

(67.2–73.5)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

1,083

73.9

2.0

(69.9–77.8)

Amarillo, Texas

826

64.2

2.5

(59.3–69.1)

Arcadia, Florida

500

47.1

4.2

(38.8–55.3)

Asheville, North Carolina

547

68.5

2.8

(63.0–73.9)

Atlanta-Sandy Springs-Marietta, Georgia

2,340

70.6

1.6

(67.4–73.7)

Atlantic City, New Jersey

916

71.4

2.1

(67.2–75.5)

Augusta-Richmond County, Georgia-South Carolina

866

67.9

2.5

(63.0–72.8)

Augusta-Waterville, Maine

651

65.9

2.6

(60.8–70.9)

Austin-Round Rock, Texas

970

69.0

3.3

(62.5–75.4)

Baltimore-Towson, Maryland

3,323

74.6

1.1

(72.4–76.7)

Bangor, Maine

690

67.6

2.4

(62.8–72.3)

Barre, Vermont

668

80.7

1.9

(76.9–84.4)

Baton Rouge, Louisiana

1,196

68.7

1.8

(65.1–72.2)

Bethesda-Gaithersburg-Frederick, Maryland*

1,640

81.6

1.3

(79.0–84.1)

Billings, Montana

536

66.3

2.8

(60.8–71.7)

Birmingham-Hoover, Alabama

1,181

66.4

1.9

(62.6–70.1)

Bismarck, North Dakota

770

73.2

2.1

(69.0–77.3)

Boise City-Nampa, Idaho

1,661

70.1

1.7

(66.7–73.4)

Boston-Quincy, Massachusetts*

3,293

81.7

1.2

(79.3–84.0)

Bremerton-Silverdale, Washington

923

73.6

2.0

(69.6–77.5)

Bridgeport-Stamford-Norwalk, Connecticut

2,178

83.1

1.5

(80.1–86.0)

Buffalo-Cheektowaga-Tonawanda, New York

607

77.2

2.5

(72.3–82.1)

Burlington-South Burlington, Vermont

1,994

81.8

1.1

(79.6–83.9)

Cambridge-Newton-Framingham, Massachusetts*

3,015

82.6

1.3

(80.0–85.1)

Camden, New Jersey*

1,694

73.9

1.5

(70.9–76.8)

Canton-Massillon, Ohio

745

68.0

2.5

(63.1–72.9)

Cape Coral-Fort Myers, Florida

517

67.3

3.1

(61.2–73.3)

Casper, Wyoming

765

68.8

2.3

(64.2–73.3)

Cedar Rapids, Iowa

556

81.1

2.3

(76.5–85.6)

Charleston, West Virginia

757

62.7

2.4

(57.9–67.4)

Charleston-North Charleston, South Carolina

1,145

68.5

2.6

(63.4–73.5)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,699

70.8

1.7

(67.4–74.1)

Chattanooga, Tennessee-Georgia

535

67.8

3.3

(61.3–74.2)

Cheyenne, Wyoming

910

72.5

2.0

(68.5–76.4)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

5,012

70.0

1.1

(67.8–72.1)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,791

71.8

1.8

(68.2–75.3)

Cleveland-Elyria-Mentor, Ohio

1,102

74.8

1.9

(71.0–78.5)

Coeur d´Alene, Idaho

569

69.7

2.7

(64.4–74.9)

Colorado Springs, Colorado

1,161

69.8

1.9

(66.0–73.5)

Columbia, South Carolina

1,132

64.6

2.5

(59.7–69.5)

Columbus, Ohio

1,380

74.4

1.8

(70.8–77.9)

Concord, New Hampshire

640

80.0

2.3

(75.4–84.5)

Dallas-Plano-Irving, Texas*

720

59.1

2.9

(53.4–64.7)

Dayton, Ohio

850

72.7

2.5

(67.8–77.6)

Del Rio, Texas

553

56.4

5.1

(46.4–66.3)

Deltona-Daytona Beach-Ormond Beach, Florida

857

65.6

2.6

(60.5–70.6)

Denver-Aurora, Colorado

4,810

72.4

1.0

(70.4–74.3)

Des Moines-West Des Moines, Iowa

1,005

77.5

1.8

(73.9–81.0)

Detroit-Livonia-Dearborn, Michigan*

1,906

67.6

1.8

(64.0–71.1)

Dover, Delaware

1,249

67.1

2.0

(63.1–71.0)

Durham, North Carolina

1,032

69.9

2.4

(65.1–74.6)

Edison, New Jersey*

2,257

77.7

1.3

(75.1–80.2)

El Paso, Texas

869

55.9

2.4

(51.1–60.6)

Eugene-Springfield, Oregon

508

67.2

3.3

(60.7–73.6)

Evansville, Indiana-Kentucky

534

70.6

3.3

(64.1–77.0)

Fargo, North Dakota-Minnesota

832

83.5

3.2

(77.2–89.7)

Farmington, New Mexico

681

64.7

2.8

(59.2–70.1)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

700

62.8

3.1

(56.7–68.8)

Fort Collins-Loveland, Colorado

559

73.6

3.1

(67.5–79.6)

Fort Wayne, Indiana

719

74.5

2.2

(70.1–78.8)

Fort Worth-Arlington, Texas

731

63.8

2.8

(58.3–69.2)


TABLE 8. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

948

64.1

3.4

(57.4–70.7)

Grand Island, Nebraska

861

65.6

2.4

(60.8–70.3)

Grand Rapids-Wyoming, Michigan

622

72.7

2.6

(67.6–77.7)

Greensboro-High Point, North Carolina

1,157

70.2

2.4

(65.4–74.9)

Greenville, South Carolina

779

67.4

3.0

(61.5–73.2)

Hagerstown-Martinsburg, Maryland-West Virginia

640

67.8

2.7

(62.5–73.0)

Hartford-West Hartford-East Hartford, Connecticut

2,012

81.9

1.5

(78.9–84.8)

Hastings, Nebraska

583

69.1

2.8

(63.6–74.5)

Helena, Montana

641

72.2

2.6

(67.1–77.2)

Hickory-Morganton-Lenoir, North Carolina

599

63.9

2.7

(58.6–69.1)

Hilo, Hawaii

1,479

64.8

1.8

(61.2–68.3)

Hilton Head Island-Beaufort, South Carolina

799

73.1

2.4

(68.3–77.8)

Homosassa Springs, Florida

532

59.2

3.0

(53.3–65.0)

Honolulu, Hawaii

2,957

74.3

1.2

(71.9–76.6)

Houston-Sugar Land-Baytown, Texas

2,729

64.5

1.7

(61.1–67.8)

Huntington-Ashland, West Virginia-Kentucky-Ohio

653

58.6

2.7

(53.3–63.8)

Idaho Falls, Idaho

665

75.1

2.3

(70.5–79.6)

Indianapolis-Carmel, Indiana

2,250

71.5

1.5

(68.5–74.4)

Jackson, Mississippi

754

65.2

2.4

(60.4–69.9)

Jacksonville, Florida

2,585

67.7

2.0

(63.7–71.6)

Kahului-Wailuku, Hawaii

1,461

74.5

1.8

(70.9–78.0)

Kalispell, Montana

698

54.3

2.5

(49.4–59.2)

Kansas City, Missouri-Kansas

3,367

71.9

1.3

(69.3–74.4)

Kapaa, Hawaii

645

66.9

2.9

(61.2–72.5)

Kennewick-Richland-Pasco, Washington

643

69.5

2.6

(64.4–74.5)

Key West-Marathon, Florida

505

71.6

3.0

(65.7–77.4)

Kingsport-Bristol, Tennessee-Virginia

648

69.0

3.0

(63.1–74.8)

Knoxville, Tennessee

526

67.4

3.5

(60.5–74.2)

Lake City, Florida

563

51.8

3.1

(45.7–57.8)

Lakeland-Winter Haven, Florida

521

52.5

3.1

(46.4–58.5)

Laredo, Texas

921

51.9

2.2

(47.5–56.2)

Las Cruces, New Mexico

499

67.0

3.4

(60.3–73.6)

Las Vegas-Paradise, Nevada

1,263

67.2

1.8

(63.6–70.7)

Lebanon, New Hampshire-Vermont

1,554

71.3

1.7

(67.9–74.6)

Lewiston, Idaho-Washington

602

68.2

2.6

(63.1–73.2)

Lewiston-Auburn, Maine

501

61.9

2.9

(56.2–67.5)

Lincoln, Nebraska

1,132

74.6

2.3

(70.0–79.1)

Little Rock-North Little Rock, Arkansas

818

71.2

2.6

(66.1–76.2)

Los Angeles-Long Beach-Glendale, California*

2,617

65.1

1.3

(62.5–67.6)

Louisville, Kentucky-Indiana

904

66.9

2.3

(62.3–71.4)

Lubbock, Texas

780

59.4

3.0

(53.5–65.2)

Manchester-Nashua, New Hampshire

1,414

78.3

1.6

(75.1–81.4)

McAllen-Edinburg-Mission, Texas

594

48.2

2.8

(42.7–53.6)

Memphis, Tennessee-Mississippi-Arkansas

1,154

65.0

2.8

(59.5–70.4)

Miami-Fort Lauderdale-Miami Beach, Florida

1,028

63.7

2.3

(59.1–68.2)

Midland, Texas

522

66.8

2.9

(61.1–72.4)

Milwaukee-Waukesha-West Allis, Wisconsin

1,528

79.2

1.9

(75.4–82.9)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

4,848

81.1

1.1

(78.9–83.2)

Minot, North Dakota

555

75.6

2.2

(71.2–79.9)

Mobile, Alabama

678

61.2

2.9

(55.5–66.8)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

551

62.4

3.0

(56.5–68.2)

Naples-Marco Island, Florida

520

72.5

3.5

(65.6–79.3)

Nashville-Davidson-Murfreesboro, Tennessee

830

70.6

2.6

(65.5–75.6)

Nassau-Suffolk, New York*

1,071

74.0

1.9

(70.2–77.7)

Newark-Union, New Jersey-Pennsylvania*

3,315

78.6

1.1

(76.4–80.7)

New Haven-Milford, Connecticut

1,673

80.1

1.6

(76.9–83.2)

New Orleans-Metairie-Kenner, Louisiana

1,527

66.1

1.8

(62.5–69.6)

New York-White Plains-Wayne, New York-New Jersey*

6,177

72.6

0.9

(70.8–74.3)

Norfolk, Nebraska

674

65.1

2.7

(59.8–70.3)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

575

1,133

66.5

70.3

2.9

2.2

(60.8–72.1)

(65.9–74.6)

Ocala, Florida

589

57.9

2.9

(52.2–63.5)

Ocean City, New Jersey

516

77.9

2.5

(73.0–82.8)


TABLE 8. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

1,695

75.2

1.6

(72.0–78.3)

Oklahoma City, Oklahoma

2,465

61.6

1.3

(59.0–64.1)

Olympia, Washington

775

72.4

2.3

(67.8–76.9)

Omaha-Council Bluffs, Nebraska-Iowa

2,353

71.8

1.4

(69.0–74.5)

Orlando-Kissimmee, Florida

2,667

64.5

1.5

(61.5–67.4)

Palm Bay-Melbourne-Titusville, Florida

527

62.6

3.2

(56.3–68.8)

Panama City-Lynn Haven, Florida

Peabody, Massachusetts

544

2,131

68.8

81.8

3.4

1.6

(62.1–75.4)

(78.6–84.9)

Pensacola-Ferry Pass-Brent, Florida

1,012

57.0

2.4

(52.2–61.7)

Philadelphia, Pennsylvania

2,365

73.8

1.5

(70.8–76.7)

Phoenix-Mesa-Scottsdale, Arizona

1,682

70.0

1.8

(66.4–73.5)

Pittsburgh, Pennsylvania

2,415

72.9

1.3

(70.3–75.4)

Portland-South Portland-Biddeford, Maine

2,626

74.6

1.2

(72.2–76.9)

Portland-Vancouver-Beaverton, Oregon-Washington

3,396

74.9

1.2

(72.5–77.2)

Port St. Lucie-Fort Pierce, Florida

1,023

64.7

2.4

(59.9–69.4)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

9,487

78.7

0.7

(77.3–80.0)

Provo-Orem, Utah

1,173

77.3

1.8

(73.7–80.8)

Raleigh-Cary, North Carolina

1,026

75.7

1.9

(71.9–79.4)

Rapid City, South Dakota

848

73.2

2.0

(69.2–77.1)

Reno-Sparks, Nevada

1,325

72.6

1.6

(69.4–75.7)

Richmond, Virginia

799

77.2

2.5

(72.3–82.1)

Riverside-San Bernardino-Ontario, California

1,879

66.0

1.6

(62.8–69.1)

Rochester, New York

568

73.0

2.9

(67.3–78.6)

Rockingham County-Strafford County, New Hampshire*

1,606

78.4

1.5

(75.4–81.3)

Rutland, Vermont

657

73.0

2.4

(68.2–77.7)

Sacramento-Arden-Arcade-Roseville, California

1,293

74.1

2.0

(70.1–78.0)

St. Louis, Missouri-Illinois

1,747

70.6

1.8

(67.0–74.1)

Salt Lake City, Utah

4,298

72.7

1.0

(70.7–74.6)

San Antonio, Texas

1,124

68.6

2.1

(64.4–72.7)

San Diego-Carlsbad-San Marcos, California

1,695

74.1

1.5

(71.1–77.0)

San Francisco-Oakland-Fremont, California

2,357

76.0

1.2

(73.6–78.3)

San Jose-Sunnyvale-Santa Clara, California

913

79.2

2.0

(75.2–83.1)

Santa Ana-Anaheim-Irvine, California*

1,446

72.2

1.7

(68.8–75.5)

Santa Fe, New Mexico

609

69.2

2.9

(63.5–74.8)

Scottsbluff, Nebraska

759

61.4

2.6

(56.3–66.4)

Scranton-Wilkes-Barre, Pennsylvania

552

69.9

2.7

(64.6–75.1)

Seaford, Delaware

1,238

69.0

2.0

(65.0–72.9)

Seattle-Bellevue-Everett, Washington*

4,684

76.0

0.9

(74.2–77.7)

Sebring, Florida

520

59.7

3.3

(53.2–66.1)

Shreveport-Bossier City, Louisiana

681

62.7

2.7

(57.4–67.9)

Sioux City, Iowa-Nebraska-South Dakota

1,219

71.7

2.7

(66.4–76.9)

Sioux Falls, South Dakota

838

79.7

1.8

(76.1–83.2)

Spokane, Washington

1,215

72.2

1.9

(68.4–75.9)

Springfield, Massachusetts

2,043

80.1

1.9

(76.3–83.8)

Tacoma, Washington*

1,719

72.4

1.5

(69.4–75.3)

Tallahassee, Florida

2,041

65.4

2.5

(60.5–70.3)

Tampa-St. Petersburg-Clearwater, Florida

2,032

66.1

1.8

(62.5–69.6)

Toledo, Ohio

859

76.0

2.2

(71.6–80.3)

Topeka, Kansas

833

74.3

2.1

(70.1–78.4)

Trenton-Ewing, New Jersey

500

80.2

2.6

(75.1–85.2)

Tucson, Arizona

698

67.7

3.1

(61.6–73.7)

Tulsa, Oklahoma

2,141

56.6

1.5

(53.6–59.5)

Tuscaloosa, Alabama

514

60.8

3.4

(54.1–67.4)

Twin Falls, Idaho

537

69.0

2.8

(63.5–74.4)

Tyler, Texas

670

67.4

2.9

(61.7–73.0)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

1,096

75.4

2.3

(70.8–79.9)

Warren-Troy-Farmington Hills, Michigan*

1,797

79.4

1.4

(76.6–82.1)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia*

6,427

80.9

1.2

(78.5–83.2)

Wauchula, Florida

526

53.8

3.9

(46.1–61.4)

West Palm Beach-Boca Raton-Boynton Beach, Florida

551

74.0

3.0

(68.1–79.8)

Wichita, Kansas

1,846

75.4

1.4

(72.6–78.1)

Wichita Falls, Texas

829

65.2

2.8

(59.7–70.6)

Wilmington, Delaware-Maryland-New Jersey*

2,208

75.8

1.2

(73.4–78.1)


TABLE 8. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

2,094

80.4

1.6

(77.2–83.5)

Yakima, Washington

739

69.3

2.4

(64.5–74.0)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

1,058

67.8

2.8

(62.3–73.2)

Median

70.2

Range

47.1-83.5

Abbreviations: SE = standard error; CI = confidence interval.

* Metropolitan division.


TABLE 9. Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

592

66.8

2.6

(61.7–71.8)

Mobile County, Alabama

678

61.2

2.9

(55.5–66.8)

Tuscaloosa County, Alabama

432

61.3

3.7

(54.0–68.5)

Maricopa County, Arizona

1,300

69.8

2.0

(65.8–73.7)

Pima County, Arizona

698

67.7

3.1

(61.6–73.7)

Pinal County, Arizona

382

71.1

3.6

(64.0–78.1)

Benton County, Arkansas

361

69.8

3.5

(62.9–76.6)

Pulaski County, Arkansas

557

75.6

3.1

(69.5–81.6)

Washington County, Arkansas

298

66.9

4.3

(58.4–75.3)

Alameda County, California

757

75.2

2.1

(71.0–79.3)

Contra Costa County, California

632

78.1

2.3

(73.5–82.6)

Los Angeles County, California

2,617

65.1

1.3

(62.5–67.6)

Orange County, California

1,446

72.2

1.7

(68.8–75.5)

Placer County, California

254

81.8

3.3

(75.3–88.2)

Riverside County, California

932

67.1

2.1

(62.9–71.2)

Sacramento County, California

752

73.5

2.2

(69.1–77.8)

San Bernardino County, California

947

65.1

2.3

(60.5–69.6)

San Diego County, California

1,695

74.1

1.5

(71.1–77.0)

San Francisco County, California

386

76.5

2.8

(71.0–81.9)

San Mateo County, California

384

77.3

3.0

(71.4–83.1)

Santa Clara County, California

875

80.4

1.9

(76.6–84.1)

Adams County, Colorado

803

63.7

2.5

(58.8–68.6)

Arapahoe County, Colorado

869

77.1

1.7

(73.7–80.4)

Denver County, Colorado

870

70.9

2.2

(66.5–75.2)

Douglas County, Colorado

576

78.6

2.6

(73.5–83.6)

El Paso County, Colorado

1,029

69.9

2.0

(65.9–73.8)

Jefferson County, Colorado

1,168

72.8

2.0

(68.8–76.7)

Larimer County, Colorado

559

73.6

3.1

(67.5–79.6)

Fairfield County, Connecticut

2,178

83.1

1.5

(80.1–86.0)

Hartford County, Connecticut

1,496

81.1

1.7

(77.7–84.4)

Middlesex County, Connecticut

262

88.2

2.5

(83.3–93.1)

New Haven County, Connecticut

1,673

80.1

1.6

(76.9–83.2)

Tolland County, Connecticut

254

83.2

3.3

(76.7–89.6)

Kent County, Delaware

1,249

67.1

2.0

(63.1–71.0)

New Castle County, Delaware

1,748

78.3

1.3

(75.7–80.8)

Sussex County, Delaware

1,238

69.0

2.0

(65.0–72.9)

District of Columbia, District of Columbia

3,962

74.1

1.2

(71.7–76.4)

Alachua County, Florida

534

66.0

3.4

(59.3–72.6)

Baker County, Florida

509

58.9

4.8

(49.4–68.3)

Bay County, Florida

544

68.8

3.4

(62.1–75.4)

Brevard County, Florida

527

62.6

3.2

(56.3–68.8)

Broward County, Florida

524

64.9

2.9

(59.2–70.5)

Citrus County, Florida

532

59.2

3.0

(53.3–65.0)

Clay County, Florida

486

71.5

2.7

(66.2–76.7)

Collier County, Florida

520

72.5

3.5

(65.6–79.3)

Columbia County, Florida

563

51.8

3.1

(45.7–57.8)

DeSoto County, Florida

500

47.1

4.2

(38.8–55.3)

Duval County, Florida

548

66.3

2.8

(60.8–71.7)

Escambia County, Florida

519

52.0

3.4

(45.3–58.6)

Gadsden County, Florida

506

51.6

3.6

(44.5–58.6)

Gilchrist County, Florida

414

NA*

NA

NA

Hardee County, Florida

526

53.8

3.9

(46.1–61.4)

Hernando County, Florida

489

62.2

3.0

(56.3–68.0)

Highlands County, Florida

520

59.7

3.3

(53.2–66.1)

Hillsborough County, Florida

505

65.0

3.1

(58.9–71.0)

Jefferson County, Florida

502

53.5

4.0

(45.6–61.3)

Lake County, Florida

604

68.6

2.6

(63.5–73.6)

Lee County, Florida

517

67.3

3.1

(61.2–73.3)

Leon County, Florida

496

72.5

3.1

(66.4–78.5)

Manatee County, Florida

525

64.2

3.3

(57.7–70.6)

Marion County, Florida

589

57.9

2.9

(52.2–63.5)

Martin County, Florida

521

71.8

2.8

(66.3–77.2)

Miami-Dade County, Florida

504

66.8

3.0

(60.9–72.6)


TABLE 9. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

505

71.6

3.0

(65.7–77.4)

Nassau County, Florida

521

68.1

3.8

(60.6–75.5)

Orange County, Florida

1,004

64.8

2.2

(60.4–69.1)

Osceola County, Florida

567

55.6

3.1

(49.5–61.6)

Palm Beach County, Florida

551

74.0

3.0

(68.1–79.8)

Pasco County, Florida

541

63.7

3.3

(57.2–70.1)

Pinellas County, Florida

497

70.0

3.1

(63.9–76.0)

Polk County, Florida

521

52.5

3.1

(46.4–58.5)

St. Johns County, Florida

521

78.1

2.6

(73.0–83.1)

St. Lucie County, Florida

502

62.4

3.0

(56.5–68.2)

Santa Rosa County, Florida

493

64.8

3.0

(58.9–70.6)

Sarasota County, Florida

608

74.4

2.8

(68.9–79.8)

Seminole County, Florida

492

67.0

3.0

(61.1–72.8)

Volusia County, Florida

857

65.6

2.6

(60.5–70.6)

Wakulla County, Florida

537

53.7

3.6

(46.6–60.7)

Cobb County, Georgia

253

78.1

3.3

(71.6–84.5)

DeKalb County, Georgia

339

76.9

3.2

(70.6–83.1)

Fulton County, Georgia

329

73.8

3.7

(66.5–81.0)

Gwinnett County, Georgia

251

76.7

3.3

(70.2–83.1)

Hawaii County, Hawaii

1,479

64.8

1.8

(61.2–68.3)

Honolulu County, Hawaii

2,957

74.3

1.2

(71.9–76.6)

Kauai County, Hawaii

645

66.9

2.9

(61.2–72.5)

Maui County, Hawaii

1,461

74.5

1.8

(70.9–78.0)

Ada County, Idaho

866

73.9

2.3

(69.3–78.4)

Bonneville County, Idaho

522

77.6

2.4

(72.8–82.3)

Canyon County, Idaho

618

66.0

2.6

(60.9–71.0)

Kootenai County, Idaho

569

69.7

2.7

(64.4–74.9)

Nez Perce County, Idaho

381

67.4

3.2

(61.1–73.6)

Twin Falls County, Idaho

432

71.5

2.9

(65.8–77.1)

Cook County, Illinois

2,885

67.7

1.3

(65.1–70.2)

DuPage County, Illinois

256

76.2

3.4

(69.5–82.8)

Allen County, Indiana

584

74.4

2.5

(69.5–79.3)

Lake County, Indiana

996

64.5

2.8

(59.0–69.9)

Marion County, Indiana

1,460

69.4

2.0

(65.4–73.3)

Linn County, Iowa

493

82.3

2.3

(77.7–86.8)

Polk County, Iowa

766

77.3

2.1

(73.1–81.4)

Johnson County, Kansas

1,413

84.1

1.3

(81.5–86.6)

Sedgwick County, Kansas

1,430

75.0

1.6

(71.8–78.1)

Shawnee County, Kansas

622

75.0

2.5

(70.1–79.9)

Wyandotte County, Kansas

599

56.9

3.1

(50.8–62.9)

Jefferson County, Kentucky

409

65.9

3.1

(59.8–71.9)

Caddo Parish, Louisiana

446

59.1

3.3

(52.6–65.5)

East Baton Rouge Parish, Louisiana

720

67.5

2.5

(62.6–72.4)

Jefferson Parish, Louisiana

593

67.0

2.7

(61.7–72.2)

Orleans Parish, Louisiana

373

60.6

3.5

(53.7–67.4)

St. Tammany Parish, Louisiana

370

67.2

3.7

(59.9–74.4)

Androscoggin County, Maine

501

61.9

2.9

(56.2–67.5)

Cumberland County, Maine

1,387

76.9

1.8

(73.3–80.4)

Kennebec County, Maine

651

65.9

2.6

(60.8–70.9)

Penobscot County, Maine

690

67.6

2.4

(62.8–72.3)

Sagadahoc County, Maine

298

68.2

3.3

(61.7–74.6)

York County, Maine

941

72.4

1.9

(68.6–76.1)

Anne Arundel County, Maryland

600

78.9

2.4

(74.1–83.6)

Baltimore County, Maryland

1,048

75.9

1.7

(72.5–79.2)

Cecil County, Maryland

267

73.3

3.3

(66.8–79.7)

Charles County, Maryland

347

75.5

3.2

(69.2–81.7)

Frederick County, Maryland

577

79.1

2.2

(74.7–83.4)

Harford County, Maryland

279

77.1

3.2

(70.8–83.3)

Howard County, Maryland

340

84.7

2.6

(79.6–89.7)

Montgomery County, Maryland

1,063

82.2

1.6

(79.0–85.3)

Prince George´s County, Maryland

791

73.2

2.2

(68.8–77.5)

Queen Anne´s County, Maryland

295

75.3

3.7

(68.0–82.5)

Washington County, Maryland

404

66.9

3.3

(60.4–73.3)


TABLE 9. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

528

62.5

3.1

(56.4–68.5)

Bristol County, Massachusetts

2,910

79.7

1.4

(76.9–82.4)

Essex County, Massachusetts

2,131

82.1

1.8

(78.5–85.6)

Hampden County, Massachusetts

1,587

79.8

2.2

(75.4–84.1)

Hampshire County, Massachusetts

274

81.0

3.8

(73.5–88.4)

Middlesex County, Massachusetts

3,015

81.8

1.5

(78.8–84.7)

Norfolk County, Massachusetts

857

83.2

1.9

(79.4–86.9)

Plymouth County, Massachusetts

682

83.7

2.1

(79.5–87.8)

Suffolk County, Massachusetts

1,754

81.2

1.6

(78.0–84.3)

Worcester County, Massachusetts

2,094

80.4

1.6

(77.2–83.5)

Kent County, Michigan

445

73.7

3.0

(67.8–79.5)

Macomb County, Michigan

515

81.2

2.2

(76.8–85.5)

Oakland County, Michigan

934

80.8

1.9

(77.0–84.5)

Wayne County, Michigan

1,906

67.6

1.8

(64.0–71.1)

Anoka County, Minnesota

397

82.2

2.7

(76.9–87.4)

Dakota County, Minnesota

570

84.4

2.3

(79.8–88.9)

Hennepin County, Minnesota

2,047

79.6

1.8

(76.0–83.1)

Ramsey County, Minnesota

914

78.9

3.1

(72.8–84.9)

Washington County, Minnesota

258

87.4

2.6

(82.3–92.4)

DeSoto County, Mississippi

368

68.8

3.6

(61.7–75.8)

Hinds County, Mississippi

334

60.2

3.8

(52.7–67.6)

Jackson County, Missouri

526

66.1

2.8

(60.6–71.5)

St. Louis County, Missouri

604

71.7

3.0

(65.8–77.5)

St. Louis city, Missouri

646

62.4

3.2

(56.1–68.6)

Flathead County, Montana

698

54.3

2.5

(49.4–59.2)

Lewis and Clark County, Montana

532

72.1

2.6

(67.0–77.1)

Yellowstone County, Montana

485

66.6

2.9

(60.9–72.2)

Adams County, Nebraska

475

73.0

2.8

(67.5–78.4)

Dakota County, Nebraska

739

63.1

2.4

(58.3–67.8)

Douglas County, Nebraska

951

72.3

2.1

(68.1–76.4)

Hall County, Nebraska

587

65.0

3.0

(59.1–70.8)

Lancaster County, Nebraska

848

74.7

2.5

(69.8–79.6)

Lincoln County, Nebraska

543

67.5

2.9

(61.8–73.1)

Madison County, Nebraska

466

67.4

3.3

(60.9–73.8)

Sarpy County, Nebraska

577

72.8

2.9

(67.1–78.4)

Scotts Bluff County, Nebraska

736

59.8

2.7

(54.5–65.0)

Seward County, Nebraska

284

71.5

3.5

(64.6–78.3)

Clark County, Nevada

1,263

67.2

1.8

(63.6–70.7)

Washoe County, Nevada

1,305

72.3

1.6

(69.1–75.4)

Grafton County, New Hampshire

516

71.5

3.0

(65.6–77.3)

Hillsborough County, New Hampshire

1,414

78.3

1.6

(75.1–81.4)

Merrimack County, New Hampshire

640

80.0

2.3

(75.4–84.5)

Rockingham County, New Hampshire

1,020

81.7

1.6

(78.5–84.8)

Strafford County, New Hampshire

586

70.9

2.7

(65.6–76.1)

Atlantic County, New Jersey

916

71.4

2.1

(67.2–75.5)

Bergen County, New Jersey

623

81.8

2.0

(77.8–85.7)

Burlington County, New Jersey

566

77.4

2.3

(72.8–81.9)

Camden County, New Jersey

602

70.1

2.8

(64.6–75.5)

Cape May County, New Jersey

516

77.9

2.5

(73.0–82.8)

Essex County, New Jersey

1,021

76.2

1.7

(72.8–79.5)

Gloucester County, New Jersey

526

76.4

2.5

(71.5–81.3)

Hudson County, New Jersey

1,089

69.1

1.9

(65.3–72.8)

Hunterdon County, New Jersey

515

85.7

2.1

(81.5–89.8)

Mercer County, New Jersey

500

80.2

2.6

(75.1–85.2)

Middlesex County, New Jersey

631

78.4

2.2

(74.0–82.7)

Monmouth County, New Jersey

560

81.0

2.2

(76.6–85.3)

Morris County, New Jersey

702

81.6

2.1

(77.4–85.7)

Ocean County, New Jersey

530

72.4

2.6

(67.3–77.4)

Passaic County, New Jersey

502

72.7

2.7

(67.4–77.9)

Somerset County, New Jersey

536

85.5

2.0

(81.5–89.4)

Sussex County, New Jersey

498

82.1

2.1

(77.9–86.2)

Union County, New Jersey

519

75.4

2.6

(70.3–80.4)

Warren County, New Jersey

477

77.4

2.5

(72.5–82.3)

Bernalillo County, New Mexico

1,262

72.8

1.9

(69.0–76.5)


TABLE 9. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Dona Ana County, New Mexico

499

67.0

3.4

(60.3–73.6)

Sandoval County, New Mexico

520

66.0

3.3

(59.5–72.4)

San Juan County, New Mexico

681

64.7

2.8

(59.2–70.1)

Santa Fe County, New Mexico

609

69.2

2.9

(63.5–74.8)

Valencia County, New Mexico

350

61.1

3.8

(53.6–68.5)

Bronx County, New York

433

67.7

3.0

(61.8–73.5)

Erie County, New York

477

81.1

2.3

(76.5–85.6)

Kings County, New York

906

70.5

2.0

(66.5–74.4)

Monroe County, New York

382

73.0

3.4

(66.3–79.6)

Nassau County, New York

478

76.1

2.6

(71.0–81.1)

New York County, New York

1,040

77.4

2.1

(73.2–81.5)

Queens County, New York

798

71.9

2.1

(67.7–76.0)

Suffolk County, New York

593

73.5

2.6

(68.4–78.5)

Westchester County, New York

384

77.8

3.0

(71.9–83.6)

Buncombe County, North Carolina

263

63.7

3.9

(56.0–71.3)

Cabarrus County, North Carolina

304

62.5

3.8

(55.0–69.9)

Catawba County, North Carolina

293

70.6

3.4

(63.9–77.2)

Durham County, North Carolina

620

72.5

2.6

(67.4–77.5)

Gaston County, North Carolina

265

64.8

4.2

(56.5–73.0)

Guilford County, North Carolina

693

76.6

2.2

(72.2–80.9)

Johnston County, North Carolina

275

72.2

3.2

(65.9–78.4)

Mecklenburg County, North Carolina

606

78.1

2.4

(73.3–82.8)

Orange County, North Carolina

297

70.5

4.0

(62.6–78.3)

Randolph County, North Carolina

395

65.5

3.4

(58.8–72.1)

Union County, North Carolina

346

69.4

3.6

(62.3–76.4)

Wake County, North Carolina

712

77.6

2.4

(72.8–82.3)

Burleigh County, North Dakota

560

78.3

2.5

(73.4–83.2)

Cass County, North Dakota

779

83.9

1.9

(80.1–87.6)

Ward County, North Dakota

464

77.2

2.4

(72.4–81.9)

Cuyahoga County, Ohio

721

73.6

2.3

(69.0–78.1)

Franklin County, Ohio

679

75.4

2.3

(70.8–79.9)

Hamilton County, Ohio

725

75.5

2.4

(70.7–80.2)

Lucas County, Ohio

725

74.3

2.3

(69.7–78.8)

Mahoning County, Ohio

727

73.0

2.4

(68.2–77.7)

Montgomery County, Ohio

702

74.8

2.3

(70.2–79.3)

Stark County, Ohio

714

67.8

2.5

(62.9–72.7)

Summit County, Ohio

703

73.6

2.5

(68.7–78.5)

Cleveland County, Oklahoma

431

70.6

2.8

(65.1–76.0)

Oklahoma County, Oklahoma

1,433

57.3

1.8

(53.7–60.8)

Tulsa County, Oklahoma

1,520

58.7

1.7

(55.3–62.0)

Clackamas County, Oregon

450

76.7

2.7

(71.4–81.9)

Lane County, Oregon

508

67.2

3.3

(60.7–73.6)

Multnomah County, Oregon

812

76.8

2.2

(72.4–81.1)

Washington County, Oregon

584

77.4

2.3

(72.8–81.9)

Allegheny County, Pennsylvania

1,379

75.6

1.6

(72.4–78.7)

Lehigh County, Pennsylvania

282

75.0

3.0

(69.1–80.8)

Luzerne County, Pennsylvania

310

65.5

3.9

(57.8–73.1)

Montgomery County, Pennsylvania

347

80.3

3.0

(74.4–86.1)

Northampton County, Pennsylvania

260

75.5

4.3

(67.0–83.9)

Philadelphia County, Pennsylvania

1,402

62.2

1.9

(58.4–65.9)

Westmoreland County, Pennsylvania

336

73.4

3.2

(67.1–79.6)

Bristol County, Rhode Island

278

86.3

2.6

(81.2–91.3)

Kent County, Rhode Island

938

76.5

1.9

(72.7–80.2)

Newport County, Rhode Island

488

83.5

2.4

(78.7–88.2)

Providence County, Rhode Island

4,127

77.5

1.0

(75.5–79.4)

Washington County, Rhode Island

746

78.7

2.5

(73.8–83.6)

Aiken County, South Carolina

469

71.7

2.7

(66.4–76.9)

Beaufort County, South Carolina

679

76.0

2.5

(71.1–80.9)

Berkeley County, South Carolina

355

NA

NA

NA

Charleston County, South Carolina

666

73.1

3.1

(67.0–79.1)

Greenville County, South Carolina

493

70.2

3.4

(63.5–76.8)

Horry County, South Carolina

551

62.4

3.0

(56.5–68.2)

Richland County, South Carolina

662

63.2

3.8

(55.7–70.6)

Minnehaha County, South Dakota

604

81.2

2.0

(77.2–85.1)


TABLE 9. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Pennington County, South Dakota

667

74.1

2.3

(69.5–78.6)

Davidson County, Tennessee

418

68.1

3.6

(61.0–75.1)

Hamilton County, Tennessee

384

71.8

3.3

(65.3–78.2)

Knox County, Tennessee

366

74.3

3.2

(68.0–80.5)

Shelby County, Tennessee

393

72.0

3.5

(65.1–78.8)

Sullivan County, Tennessee

457

72.8

2.9

(67.1–78.4)

Bexar County, Texas

965

69.4

2.2

(65.0–73.7)

Dallas County, Texas

392

54.7

3.8

(47.2–62.1)

El Paso County, Texas

869

55.9

2.4

(51.1–60.6)

Fort Bend County, Texas

923

73.8

2.1

(69.6–77.9)

Harris County, Texas

1,452

64.0

1.9

(60.2–67.7)

Hidalgo County, Texas

594

48.2

2.8

(42.7–53.6)

Lubbock County, Texas

756

59.9

2.9

(54.2–65.5)

Midland County, Texas

522

66.8

2.9

(61.1–72.4)

Potter County, Texas

336

55.9

3.7

(48.6–63.1)

Randall County, Texas

459

70.7

3.3

(64.2–77.1)

Smith County, Texas

670

67.4

2.9

(61.7–73.0)

Tarrant County, Texas

599

64.2

3.1

(58.1–70.2)

Travis County, Texas

757

72.7

4.1

(64.6–80.7)

Val Verde County, Texas

553

56.4

5.1

(46.4–66.3)

Webb County, Texas

921

51.9

2.2

(47.5–56.2)

Wichita County, Texas

678

62.7

3.1

(56.6–68.7)

Davis County, Utah

876

75.4

2.2

(71.0–79.7)

Salt Lake County, Utah

3,278

72.4

1.1

(70.2–74.5)

Summit County, Utah

453

79.1

2.9

(73.4–84.7)

Tooele County, Utah

567

73.6

2.5

(68.7–78.5)

Utah County, Utah

1,110

77.4

1.8

(73.8–80.9)

Weber County, Utah

774

74.6

2.1

(70.4–78.7)

Chittenden County, Vermont

1,430

84.3

1.3

(81.7–86.8)

Franklin County, Vermont

483

75.6

2.3

(71.0–80.1)

Orange County, Vermont

358

69.4

3.0

(63.5–75.2)

Rutland County, Vermont

657

73.0

2.4

(68.2–77.7)

Washington County, Vermont

668

80.7

1.9

(76.9–84.4)

Windsor County, Vermont

680

71.6

2.3

(67.0–76.1)

Benton County, Washington

389

74.2

2.8

(68.7–79.6)

Clark County, Washington

1,094

70.4

2.2

(66.0–74.7)

Franklin County, Washington

254

63.6

4.7

(54.3–72.8)

King County, Washington

3,032

77.8

1.1

(75.6–79.9)

Kitsap County, Washington

923

73.6

2.0

(69.6–77.5)

Pierce County, Washington

1,719

73.0

1.4

(70.2–75.7)

Snohomish County, Washington

1,652

72.1

1.5

(69.1–75.0)

Spokane County, Washington

1,215

72.2

1.9

(68.4–75.9)

Thurston County, Washington

775

72.4

2.3

(67.8–76.9)

Yakima County, Washington

739

69.3

2.4

(64.5–74.0)

Kanawha County, West Virginia

480

68.7

3.1

(62.6–74.7)

Milwaukee County, Wisconsin

1,215

74.4

2.7

(69.1–79.6)

Laramie County, Wyoming

910

72.5

2.0

(68.5–76.4)

Natrona County, Wyoming

765

68.8

2.3

(64.2–73.3)

Median

72.4

Range

47.1-88.2

Abbreviations: SE = standard error; CI = confidence interval.

* Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 10. Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

2,646

25.5

1.1

(23.3–27.7)

Alaska

320

16.2

3.4

(9.5–22.8)

Arizona

2,316

13.8

1.0

(11.8–15.7)

Arkansas

1,599

23.3

1.3

(20.9–25.8)

California

5,386

10.6

0.6

(9.3–11.8)

Colorado

3,271

13.4

0.7

(12.0–14.8)

Connecticut

2,141

9.2

0.7

(7.8–10.6)

Delaware

1,404

16.4

1.1

(14.1–18.6)

District of Columbia

1,184

12.1

1.3

(9.6–14.7)

Florida

13,863

13.3

0.6

(12.2–14.4)

Georgia

1,722

21.0

1.2

(18.7–23.3)

Hawaii

2,133

7.4

0.7

(6.0–8.9)

Idaho

2,365

15.7

0.8

(14.1–17.3)

Illinois

1,673

15.2

1.1

(13.1–17.3)

Indiana

3,328

21.3

0.8

(19.7–23.0)

Iowa

2,131

16.9

0.9

(15.1–18.6)

Kansas

2,863

17.9

0.8

(16.4–19.5)

Kentucky

2,583

27.4

1.2

(25.0–29.8)

Louisiana

2,110

25.6

1.1

(23.4–27.8)

Maine

2,583

20.7

0.9

(18.9–22.4)

Maryland

2,440

13.6

0.9

(11.9–15.3)

Massachusetts

4,523

15.2

0.8

(13.7–16.7)

Michigan

3,082

13.1

0.7

(11.8–14.4)

Minnesota

2,364

11.2

0.8

(9.6–12.8)

Mississippi

2,900

27.1

1.0

(25.1–29.2)

Missouri

1,929

19.5

1.1

(17.4–21.7)

Montana

2,387

17.6

0.9

(15.7–19.4)

Nebraska

6,045

15.2

0.7

(13.8–16.7)

Nevada

1,234

17.2

1.5

(14.4–20.1)

New Hampshire

1,899

17.2

1.0

(15.3–19.1)

New Jersey

3,310

14.1

0.8

(12.6–15.7)

New Mexico

2,284

18.5

1.0

(16.6–20.4)

New York

2,893

14.7

0.7

(13.3–16.1)

North Carolina

3,824

21.5

0.9

(19.7–23.4)

North Dakota

1,474

18.8

1.1

(16.7–20.9)

Ohio

3,010

19.8

0.9

(18.1–21.6)

Oklahoma

2,763

24.6

0.9

(22.7–26.4)

Oregon

1,801

13.7

0.9

(12.0–15.4)

Pennsylvania

3,812

18.0

0.7

(16.6–19.4)

Rhode Island

2,100

16.5

0.9

(14.7–18.2)

South Carolina

3,328

21.6

1.0

(19.5–23.6)

South Dakota

2,298

18.2

0.9

(16.3–20.0)

Tennessee

2,002

33.7

1.4

(31.0–36.5)

Texas

5,939

14.1

0.8

(12.5–15.7)

Utah

2,486

12.8

0.8

(11.2–14.3)

Vermont

2,123

17.5

0.9

(15.7–19.2)

Virginia

1,567

15.0

1.0

(13.1–17.0)

Washington

6,439

12.0

0.5

(11.1–12.9)

West Virginia

1,486

36.0

1.4

(33.3–38.8)

Wisconsin

1,374

16.3

1.1

(14.0–18.5)

Wyoming

1,947

18.6

1.0

(16.7–20.5)

Guam

114

23.7

4.8

(14.4–33.1)

Puerto Rico

1,401

20.1

1.1

(17.9–22.4)

Virgin Islands

429

12.1

1.8

(8.6–15.6)

Median

17.1

Range

7.4-36.0

Abbreviations: SE = standard error; CI = confidence interval.


TABLE 11. Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

263

22.1

3.2

(15.8–28.3)

Albuquerque, New Mexico

687

14.9

1.6

(11.7–18.0)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

357

16.5

2.2

(12.1–20.8)

Amarillo, Texas

291

12.8

2.1

(8.6–16.9)

Arcadia, Florida

226

18.4

2.9

(12.7–24.0)

Asheville, North Carolina

235

19.8

2.8

(14.3–25.2)

Atlanta-Sandy Springs-Marietta, Georgia

600

19.6

2.2

(15.2–23.9)

Atlantic City, New Jersey

262

17.5

2.6

(12.4–22.5)

Augusta-Richmond County, Georgia-South Carolina

296

23.5

3.1

(17.4–29.5)

Augusta-Waterville, Maine

195

18.5

3.0

(12.6–24.3)

Austin-Round Rock, Texas

257

10.5

2.8

(5.0–15.9)

Baltimore-Towson, Maryland

853

12.8

1.4

(10.0–15.5)

Bangor, Maine

187

27.8

3.5

(20.9–34.6)

Barre, Vermont

230

20.4

3.0

(14.5–26.2)

Baton Rouge, Louisiana

333

25.1

2.9

(19.4–30.7)

Bethesda-Gaithersburg-Frederick, Maryland*

397

5.2

1.2

(2.8–7.5)

Billings, Montana

209

13.4

2.8

(7.9–18.8)

Birmingham-Hoover, Alabama

394

24.9

2.7

(19.6–30.1)

Bismarck, North Dakota

232

21.7

2.8

(16.2–27.1)

Boise City-Nampa, Idaho

561

9.3

1.3

(6.7–11.8)

Boston-Quincy, Massachusetts*

913

14.9

1.6

(11.7–18.0)

Bremerton-Silverdale, Washington

281

9.5

1.9

(5.7–13.2)

Bridgeport-Stamford-Norwalk, Connecticut

680

6.9

1.2

(4.5–9.2)

Buffalo-Cheektowaga-Tonawanda, New York

223

19.1

3.0

(13.2–24.9)

Burlington-South Burlington, Vermont

504

16.0

1.8

(12.4–19.5)

Cambridge-Newton-Framingham, Massachusetts*

742

9.7

1.3

(7.1–12.2)

Camden, New Jersey*

469

14.3

1.8

(10.7–17.8)

Canton-Massillon, Ohio

231

22.9

3.2

(16.6–29.1)

Cape Coral-Fort Myers, Florida

261

12.4

2.3

(7.8–16.9)

Casper, Wyoming

229

21.1

3.1

(15.0–27.1)

Cedar Rapids, Iowa

194

13.6

2.7

(8.3–18.8)

Charleston, West Virginia

273

34.8

3.2

(28.5–41.0)

Charleston-North Charleston, South Carolina

395

12.7

2.3

(8.1–17.2)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

509

19.4

2.3

(14.8–23.9)

Chattanooga, Tennessee-Georgia

184

27.4

4.4

(18.7–36.0)

Cheyenne, Wyoming

312

20.5

2.5

(15.6–25.4)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

1,551

13.9

1.2

(11.5–16.2)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

576

17.4

1.9

(13.6–21.1)

Cleveland-Elyria-Mentor, Ohio

337

15.1

2.2

(10.7–19.4)

Coeur d´Alene, Idaho

220

12.8

2.3

(8.2–17.3)

Colorado Springs, Colorado

299

12.4

2.0

(8.4–16.3)

Columbia, South Carolina

348

19.5

3.1

(13.4–25.5)

Columbus, Ohio

345

21.4

2.7

(16.1–26.6)

Concord, New Hampshire

206

15.9

2.8

(10.4–21.3)

Dallas-Plano-Irving, Texas*

223

11.0

2.4

(6.2–15.7)

Dayton, Ohio

304

19.0

2.7

(13.7–24.2)

Del Rio, Texas

191

15.2

3.5

(8.3–22.0)

Deltona-Daytona Beach-Ormond Beach, Florida

400

15.2

2.0

(11.2–19.1)

Denver-Aurora, Colorado

1,224

12.0

1.1

(9.8–14.1)

Des Moines-West Des Moines, Iowa

293

11.4

1.9

(7.6–15.1)

Detroit-Livonia-Dearborn, Michigan*

660

18.5

1.9

(14.7–22.2)

Dover, Delaware

382

20.0

2.2

(15.6–24.3)

Durham, North Carolina

272

17.1

3.7

(9.8–24.3)

Edison, New Jersey*

635

12.4

1.5

(9.4–15.3)

El Paso, Texas

247

12.1

2.4

(7.3–16.8)

Eugene-Springfield, Oregon

180

10.9

2.5

(6.0–15.8)

Evansville, Indiana-Kentucky

169

19.0

3.5

(12.1–25.8)

Fargo, North Dakota-Minnesota

243

14.7

4.2

(6.4–22.9)

Farmington, New Mexico

195

22.5

3.5

(15.6–29.3)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

255

19.5

3.6

(12.4–26.5)

Fort Collins-Loveland, Colorado

164

7.0

2.1

(2.8–11.1)

Fort Wayne, Indiana

239

16.7

2.8

(11.2–22.1)

Fort Worth-Arlington, Texas*

248

14.3

2.7

(9.0–19.5)


TABLE 11. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

329

12.0

2.5

(7.1–16.9)

Grand Island, Nebraska

340

15.0

2.2

(10.6–19.3)

Grand Rapids-Wyoming, Michigan

204

10.3

2.1

(6.1–14.4)

Greensboro-High Point, North Carolina

399

22.5

2.5

(17.6–27.4)

Greenville, South Carolina

292

21.8

3.1

(15.7–27.8)

Hagerstown-Martinsburg, Maryland-West Virginia

194

22.8

3.5

(15.9–29.6)

Hartford-West Hartford-East Hartford, Connecticut

639

9.4

1.3

(6.8–11.9)

Hastings, Nebraska

220

16.7

2.7

(11.4–21.9)

Helena, Montana

217

19.3

3.0

(13.4–25.1)

Hickory-Morganton-Lenoir, North Carolina

189

24.2

3.6

(17.1–31.2)

Hilo, Hawaii

440

7.6

1.5

(4.6–10.5)

Hilton Head Island-Beaufort, South Carolina

343

9.8

1.8

(6.2–13.3)

Homosassa Springs, Florida

275

23.9

3.1

(17.8–29.9)

Honolulu, Hawaii

1,027

6.9

0.9

(5.1–8.6)

Houston-Sugar Land-Baytown, Texas

715

10.1

1.4

(7.3–12.8)

Huntington-Ashland, West Virginia-Kentucky-Ohio

209

26.7

3.9

(19.0–34.3)

Idaho Falls, Idaho

201

10.4

2.2

(6.0–14.7)

Indianapolis-Carmel, Indiana

664

18.6

1.8

(15.0–22.1)

Jackson, Mississippi

262

24.7

3.1

(18.6–30.7)

Jacksonville, Florida

867

16.3

2.2

(11.9–20.6)

Kahului-Wailuku, Hawaii

454

6.1

1.3

(3.5–8.6)

Kalispell, Montana

217

13.8

2.5

(8.9–18.7)

Kansas City, Missouri-Kansas

1,070

17.9

1.5

(14.9–20.8)

Kapaa, Hawaii

212

7.9

2.2

(3.5–12.2)

Kennewick-Richland-Pasco, Washington

177

14.2

3.2

(7.9–20.4)

Key West-Marathon, Florida

204

8.2

1.8

(4.6–11.7)

Kingsport-Bristol, Tennessee-Virginia

283

29.9

3.4

(23.2–36.5)

Knoxville, Tennessee

184

30.7

4.0

(22.8–38.5)

Lake City, Florida

179

19.7

3.5

(12.8–26.5)

Lakeland-Winter Haven, Florida

219

14.9

2.8

(9.4–20.3)

Laredo, Texas

208

11.4

2.6

(6.3–16.4)

Las Cruces, New Mexico

200

12.6

2.6

(7.5–17.6)

Las Vegas-Paradise, Nevada

410

16.3

2.0

(12.3–20.2)

Lebanon, New Hampshire-Vermont

505

17.8

1.9

(14.0–21.5)

Lewiston, Idaho-Washington

245

15.5

2.6

(10.4–20.5)

Lewiston-Auburn, Maine

157

25.2

4.1

(17.1–33.2)

Lincoln, Nebraska

381

10.9

1.9

(7.1–14.6)

Little Rock-North Little Rock, Arkansas

305

16.2

2.4

(11.4–20.9)

Los Angeles-Long Beach-Glendale, California*

765

11.5

1.6

(8.3–14.6)

Louisville, Kentucky-Indiana

272

23.0

3.0

(17.1–28.8)

Lubbock, Texas

307

16.8

2.5

(11.9–21.7)

Manchester-Nashua, New Hampshire

410

19.9

2.1

(15.7–24.0)

McAllen-Edinburg-Mission, Texas

183

11.6

2.7

(6.3–16.8)

Memphis, Tennessee-Mississippi-Arkansas

399

23.9

3.0

(18.0–29.7)

Miami-Fort Lauderdale-Miami Beach, Florida

371

11.9

2.1

(7.7–16.0)

Midland, Texas

208

15.3

2.8

(9.8–20.7)

Milwaukee-Waukesha-West Allis, Wisconsin

410

14.9

2.3

(10.3–19.4)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

1,078

7.8

1.0

(5.8–9.7)

Minot, North Dakota

169

19.5

3.1

(13.4–25.5)

Mobile, Alabama

239

24.1

3.1

(18.0–30.1)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

211

16.7

3.0

(10.8–22.5)

Naples-Marco Island, Florida

314

7.4

1.5

(4.4–10.3)

Nashville-Davidson-Murfreesboro, Tennessee

258

29.6

3.7

(22.3–36.8)

Nassau-Suffolk, New York*

369

9.2

1.8

(5.6–12.7)

Newark-Union, New Jersey-Pennsylvania*

785

13.2

1.6

(10.0–16.3)

New Haven-Milford, Connecticut

556

9.6

1.4

(6.8–12.3)

New Orleans-Metairie-Kenner, Louisiana

454

17.9

2.2

(13.5–22.2)

New York-White Plains-Wayne, New York-New Jersey*

1,701

11.9

0.9

(10.1–13.6)

Norfolk, Nebraska

243

22.3

2.9

(16.6–27.9)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

213

598

13.6

11.4

2.4

1.5

(8.8–18.3)

(8.4 – 14.3)

Ocala, Florida

312

18.6

2.6

(13.5–23.6)

Ocean City, New Jersey

191

16.7

3.2

(10.4–22.9)


TABLE 11. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

428

11.0

1.6

(7.8–14.1)

Oklahoma City, Oklahoma

778

20.7

1.7

(17.3–24.0)

Olympia, Washington

212

9.1

2.2

(4.7–13.4)

Omaha-Council Bluffs, Nebraska-Iowa

643

14.5

1.7

(11.1–17.8)

Orlando-Kissimmee, Florida

889

12.9

1.3

(10.3–15.4)

Palm Bay-Melbourne-Titusville, Florida

236

16.4

2.7

(11.1–21.6)

Panama City-Lynn Haven, Florida

Peabody, Massachusetts

183

603

8.7

12.6

2.1

1.9

(4.5–12.8)

(8.8 – 16.3)

Pensacola-Ferry Pass-Brent, Florida

321

13.0

1.9

(9.2–16.7)

Philadelphia, Pennsylvania*

745

10.7

1.3

(8.1–13.2)

Phoenix-Mesa-Scottsdale, Arizona

657

14.5

1.6

(11.3–17.6)

Pittsburgh, Pennsylvania

873

18.3

1.4

(15.5–21.0)

Portland-South Portland-Biddeford, Maine

832

16.5

1.4

(13.7–19.2)

Portland-Vancouver-Beaverton, Oregon-Washington

1,074

13.2

1.2

(10.8–15.5)

Port St. Lucie-Fort Pierce, Florida

490

11.2

1.6

(8.0–14.3)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

2,951

18.0

1.0

(16.0–19.9)

Provo-Orem, Utah

257

9.1

2.0

(5.1–13.0)

Raleigh-Cary, North Carolina

241

18.0

3.3

(11.5–24.4)

Rapid City, South Dakota

284

22.2

2.7

(16.9–27.4)

Reno-Sparks, Nevada

393

16.2

2.2

(11.8–20.5)

Richmond, Virginia

229

16.0

2.8

(10.5–21.4)

Riverside-San Bernardino-Ontario, California

546

14.8

1.8

(11.2–18.3)

Rochester, New York

215

14.1

2.7

(8.8–19.3)

Rockingham County-Strafford County, New Hampshire*

444

15.3

2.0

(11.3–19.2)

Rutland, Vermont

229

16.9

2.8

(11.4–22.3)

Sacramento-Arden-Arcade-Roseville, California

448

11.0

1.8

(7.4–14.5)

St. Louis, Missouri-Illinois

549

12.0

1.8

(8.4–15.5)

Salt Lake City, Utah

988

14.2

1.3

(11.6–16.7)

San Antonio, Texas

409

15.3

2.7

(10.0–20.5)

San Diego-Carlsbad-San Marcos, California

516

8.3

1.6

(5.1–11.4)

San Francisco-Oakland-Fremont, California

739

6.1

1.1

(3.9–8.2)

San Jose-Sunnyvale-Santa Clara, California

275

4.8

2.1

(0.6–8.9)

Santa Ana-Anaheim-Irvine, California*

432

8.0

1.8

(4.4–11.5)

Santa Fe, New Mexico

193

13.1

2.7

(7.8–18.3)

Scottsbluff, Nebraska

330

23.3

4.6

(14.2–32.3)

Scranton-Wilkes-Barre, Pennsylvania

217

22.7

3.1

(16.6–28.7)

Seaford, Delaware

519

18.6

2.0

(14.6–22.5)

Seattle-Bellevue-Everett, Washington*

1,346

9.3

0.9

(7.5–11.0)

Sebring, Florida

293

17.0

2.5

(12.1–21.9)

Shreveport-Bossier City, Louisiana

226

24.2

3.4

(17.5–30.8)

Sioux City, Iowa-Nebraska-South Dakota

390

19.2

3.5

(12.3–26.0)

Sioux Falls, South Dakota

271

18.0

2.4

(13.2–22.7)

Spokane, Washington

394

11.8

1.7

(8.4–15.1)

Springfield, Massachusetts

579

16.9

2.3

(12.3–21.4)

Tacoma, Washington*

549

13.2

1.6

(10.0–16.3)

Tallahassee, Florida

622

11.3

1.8

(7.7–14.8)

Tampa-St. Petersburg-Clearwater, Florida

873

17.5

1.8

(13.9–21.0)

Toledo, Ohio

251

13.8

2.4

(9.0–18.5)

Topeka, Kansas

262

16.9

2.4

(12.1–21.6)

Trenton-Ewing, New Jersey

128

15.2

3.8

(7.7–22.6)

Tucson, Arizona

305

7.1

1.6

(3.9–10.2)

Tulsa, Oklahoma

735

20.8

1.8

(17.2–24.3)

Tuscaloosa, Alabama

160

27.9

4.0

(20.0–35.7)

Twin Falls, Idaho

203

19.1

3.1

(13.0–25.1)

Tyler, Texas

257

13.2

2.4

(8.4–17.9)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

306

13.6

2.2

(9.2–17.9)

Warren-Troy-Farmington Hills, Michigan*

630

8.5

1.2

(6.1–10.8)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia*

1,727

10.7

1.3

(8.1–13.2)

Wauchula, Florida

205

14.0

2.7

(8.7–19.2)

West Palm Beach-Boca Raton-Boynton Beach, Florida*

262

6.0

1.5

(3.0–8.9)

Wichita, Kansas

612

13.0

1.5

(10.0–15.9)

Wichita Falls, Texas

343

15.0

2.3

(10.4–19.5)

Wilmington, Delaware-Maryland-New Jersey*

627

16.8

1.8

(13.2–20.3)


TABLE 11. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

553

20.6

2.5

(15.7–25.5)

Yakima, Washington

245

14.2

2.3

(9.6–18.7)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

372

20.2

3.0

(14.3–26.0)

Median

15.2

Range

4.8-34.8

Abbreviations: SE = standard error; CI = confidence interval.

* Metropolitan division.


TABLE 12. Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

194

26.9

3.7

(19.6–34.1)

Mobile County, Alabama

239

24.1

3.1

(18.0–30.1)

Tuscaloosa County, Alabama

131

27.3

4.3

(18.8–35.7)

Maricopa County, Arizona

480

13.7

1.7

(10.3–17.0)

Pima County, Arizona

305

7.1

1.6

(3.9–10.2)

Pinal County, Arizona

177

22.3

3.8

(14.8–29.7)

Benton County, Arkansas

144

19.2

4.1

(11.1–27.2)

Pulaski County, Arkansas

207

14.9

2.8

(9.4–20.3)

Washington County, Arkansas

97

9.8

3.3

(3.3–16.2)

Alameda County, California

209

9.1

2.8

(3.6–14.5)

Contra Costa County, California

220

6.7

2.0

(2.7–10.6)

Los Angeles County, California

765

11.5

1.6

(8.3–14.6)

Orange County, California

432

8.0

1.8

(4.4–11.5)

Placer County, California

105

8.7

2.7

(3.4–13.9)

Riverside County, California

299

14.1

2.4

(9.3–18.8)

Sacramento County, California

252

11.7

2.6

(6.6–16.7)

San Bernardino County, California

247

15.2

2.7

(9.9–20.4)

San Diego County, California

516

8.3

1.6

(5.1–11.4)

San Francisco County, California

114

NA*

NA

NA

San Mateo County, California

116

NA

NA

NA

Santa Clara County, California

264

2.4

1.0

(0.4–4.3)

Adams County, Colorado

187

17.6

3.1

(11.5–23.6)

Arapahoe County, Colorado

223

7.9

2.0

(3.9–11.8)

Denver County, Colorado

272

13.2

2.3

(8.6–17.7)

Douglas County, Colorado

103

9.5

3.2

(3.2–15.7)

El Paso County, Colorado

264

12.7

2.1

(8.5–16.8)

Jefferson County, Colorado

332

10.3

1.9

(6.5–14.0)

Larimer County, Colorado

164

7.0

2.1

(2.8–11.1)

Fairfield County, Connecticut

680

6.9

1.2

(4.5–9.2)

Hartford County, Connecticut

478

8.4

1.3

(5.8–10.9)

Middlesex County, Connecticut

92

12.0

4.2

(3.7–20.2)

New Haven County, Connecticut

556

9.6

1.4

(6.8–12.3)

Tolland County, Connecticut

69

12.5

4.4

(3.8–21.1)

Kent County, Delaware

382

20.0

2.2

(15.6–24.3)

New Castle County, Delaware

503

13.2

1.7

(9.8–16.5)

Sussex County, Delaware

519

18.6

2.0

(14.6–22.5)

District of Columbia, District of Columbia

1,184

12.1

1.3

(9.5–14.6)

Alachua County, Florida

170

9.9

2.4

(5.1–14.6)

Baker County, Florida

151

22.9

4.6

(13.8–31.9)

Bay County, Florida

183

8.7

2.1

(4.5–12.8)

Brevard County, Florida

236

16.4

2.7

(11.1–21.6)

Broward County, Florida

196

10.7

2.4

(5.9–15.4)

Citrus County, Florida

275

23.9

3.1

(17.8–29.9)

Clay County, Florida

147

11.9

2.8

(6.4–17.3)

Collier County, Florida

314

7.4

1.5

(4.4–10.3)

Columbia County, Florida

179

19.7

3.5

(12.8–26.5)

DeSoto County, Florida

226

18.4

2.9

(12.7–24.0)

Duval County, Florida

164

18.2

3.6

(11.1–25.2)

Escambia County, Florida

176

10.7

2.3

(6.1–15.2)

Gadsden County, Florida

164

23.8

4.3

(15.3–32.2)

Gilchrist County, Florida

159

NA

NA

NA

Hardee County, Florida

205

14.0

2.7

(8.7–19.2)

Hernando County, Florida

223

19.0

2.9

(13.3–24.6)

Highlands County, Florida

293

17.0

2.5

(12.1–21.9)

Hillsborough County, Florida

175

14.5

3.1

(8.4–20.5)

Jefferson County, Florida

160

NA

NA

NA

Lake County, Florida

307

13.7

2.1

(9.5–17.8)

Lee County, Florida

261

12.4

2.3

(7.8–16.9)

Leon County, Florida

147

4.1

1.5

(1.1–7.0)

Manatee County, Florida

246

12.8

2.5

(7.9–17.7)

Marion County, Florida

312

18.6

2.6

(13.5–23.6)

Martin County, Florida

266

8.0

1.9

(4.2–11.7)

Miami-Dade County, Florida

175

12.4

3.0

(6.5–18.2)


TABLE 12. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

204

8.2

1.8

(4.6–11.7)

Nassau County, Florida

197

22.0

4.6

(12.9–31.0)

Orange County, Florida

253

14.4

2.6

(9.3–19.4)

Osceola County, Florida

183

14.6

3.2

(8.3–20.8)

Palm Beach County, Florida

262

6.0

1.5

(3.0–8.9)

Pasco County, Florida

253

19.4

2.7

(14.1–24.6)

Pinellas County, Florida

222

16.3

2.8

(10.8–21.7)

Polk County, Florida

219

14.9

2.8

(9.4–20.3)

St. Johns County, Florida

208

9.4

2.3

(4.8–13.9)

St. Lucie County, Florida

224

13.5

2.5

(8.6–18.4)

Santa Rosa County, Florida

145

17.1

3.2

(10.8–23.3)

Sarasota County, Florida

352

10.7

1.8

(7.1–14.2)

Seminole County, Florida

146

8.5

2.4

(3.7–13.2)

Volusia County, Florida

400

15.2

2.0

(11.2–19.1)

Wakulla County, Florida

151

NA

NA

NA

Cobb County, Georgia

66

11.9

4.1

(3.8–19.9)

DeKalb County, Georgia

86

NA

NA

NA

Fulton County, Georgia

81

14.4

4.8

(4.9–23.8)

Gwinnett County, Georgia

52

NA

NA

NA

Hawaii County, Hawaii

440

7.6

1.5

(4.6–10.5)

Honolulu County, Hawaii

1,027

6.9

0.9

(5.1–8.6)

Kauai County, Hawaii

212

7.9

2.2

(3.5–12.2)

Maui County, Hawaii

454

6.1

1.3

(3.5–8.6)

Ada County, Idaho

278

6.6

1.6

(3.4–9.7)

Bonneville County, Idaho

156

11.4

2.8

(5.9–16.8)

Canyon County, Idaho

216

14.5

2.5

(9.6–19.4)

Kootenai County, Idaho

220

12.8

2.3

(8.2–17.3)

Nez Perce County, Idaho

147

17.6

3.6

(10.5–24.6)

Twin Falls County, Idaho

167

17.2

3.3

(10.7–23.6)

Cook County, Illinois

924

14.3

1.4

(11.5–17.0)

DuPage County, Illinois

72

16.1

3.6

(9.0–23.1)

Allen County, Indiana

197

16.7

3.1

(10.6–22.7)

Lake County, Indiana

314

18.9

3.3

(12.4–25.3)

Marion County, Indiana

454

23.9

2.7

(18.6–29.1)

Linn County, Iowa

176

13.2

2.7

(7.9–18.4)

Polk County, Iowa

218

11.6

2.2

(7.2–15.9)

Johnson County, Kansas

388

10.4

1.7

(7.0–13.7)

Sedgwick County, Kansas

462

13.8

1.7

(10.4–17.1)

Shawnee County, Kansas

202

15.9

2.5

(11.0–20.8)

Wyandotte County, Kansas

208

27.7

4.0

(19.8–35.5)

Jefferson County, Kentucky

132

17.5

3.7

(10.2–24.7)

Caddo Parish, Louisiana

152

21.5

4.1

(13.4–29.5)

East Baton Rouge Parish, Louisiana

205

23.5

3.6

(16.4–30.5)

Jefferson Parish, Louisiana

190

16.3

3.3

(9.8–22.7)

Orleans Parish, Louisiana

122

19.2

4.0

(11.3–27.0)

St. Tammany Parish, Louisiana

95

16.2

3.8

(8.7–23.6)

Androscoggin County, Maine

157

25.2

4.1

(17.1–33.2)

Cumberland County, Maine

442

12.5

1.6

(9.3–15.6)

Kennebec County, Maine

195

18.5

3.0

(12.6–24.3)

Penobscot County, Maine

187

27.8

3.5

(20.9–34.6)

Sagadahoc County, Maine

87

20.7

4.8

(11.2–30.1)

York County, Maine

303

21.5

2.6

(16.4–26.5)

Anne Arundel County, Maryland

150

11.0

2.8

(5.5–16.4)

Baltimore County, Maryland

289

14.6

2.3

(10.0–19.1)

Cecil County, Maryland

65

NA

NA

NA

Charles County, Maryland

67

NA

NA

NA

Frederick County, Maryland

126

9.8

2.6

(4.7–14.8)

Harford County, Maryland

61

10.1

4.5

(1.2–18.9)

Howard County, Maryland

69

NA

NA

NA

Montgomery County, Maryland

271

4.3

1.3

(1.7–6.8)

Prince George´s County, Maryland

182

15.6

3.0

(9.7–21.4)

Queen Anne´s County, Maryland

82

9.7

3.2

(3.4–15.9)

Washington County, Maryland

124

20.3

3.9

(12.6–27.9)


TABLE 12. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

139

18.9

4.2

(10.6–27.1)

Bristol County, Massachusetts

851

25.0

2.8

(19.5–30.4)

Essex County, Massachusetts

603

12.8

1.9

(9.0–16.5)

Hampden County, Massachusetts

464

16.9

2.9

(11.2–22.5)

Hampshire County, Massachusetts

74

14.9

5.0

(5.1–24.7)

Middlesex County, Massachusetts

742

9.8

1.4

(7.0–12.5)

Norfolk County, Massachusetts

259

10.8

1.9

(7.0–14.5)

Plymouth County, Massachusetts

203

15.4

3.2

(9.1–21.6)

Suffolk County, Massachusetts

451

16.2

2.0

(12.2–20.1)

Worcester County, Massachusetts

553

20.6

2.5

(15.7–25.5)

Kent County, Michigan

143

8.7

2.3

(4.1–13.2)

Macomb County, Michigan

191

10.8

2.4

(6.0–15.5)

Oakland County, Michigan

327

5.5

1.3

(2.9–8.0)

Wayne County, Michigan

660

18.5

1.9

(14.7–22.2)

Anoka County, Minnesota

80

8.6

3.3

(2.1–15.0)

Dakota County, Minnesota

100

5.2

2.3

(0.6–9.7)

Hennepin County, Minnesota

467

5.6

1.4

(2.8–8.3)

Ramsey County, Minnesota

229

9.7

3.0

(3.8–15.5)

Washington County, Minnesota

62

NA

NA

NA

DeSoto County, Mississippi

147

20.7

3.9

(13.0–28.3)

Hinds County, Mississippi

115

29.1

4.9

(19.4–38.7)

Jackson County, Missouri

180

15.7

3.1

(9.6–21.7)

St. Louis County, Missouri

211

12.8

2.9

(7.1–18.4)

St. Louis city, Missouri

192

NA

NA

NA

Flathead County, Montana

217

13.8

2.5

(8.9–18.7)

Lewis and Clark County, Montana

181

18.6

3.2

(12.3–24.8)

Yellowstone County, Montana

193

12.1

2.6

(7.0–17.1)

Adams County, Nebraska

174

16.9

3.1

(10.8–22.9)

Dakota County, Nebraska

243

28.5

3.2

(22.2–34.7)

Douglas County, Nebraska

266

14.0

2.4

(9.2–18.7)

Hall County, Nebraska

227

13.5

2.5

(8.6–18.4)

Lancaster County, Nebraska

278

11.1

2.1

(6.9–15.2)

Lincoln County, Nebraska

204

14.2

2.5

(9.3–19.1)

Madison County, Nebraska

170

20.4

3.3

(13.9–26.8)

Sarpy County, Nebraska

151

11.1

3.0

(5.2–16.9)

Scotts Bluff County, Nebraska

319

23.0

4.7

(13.7–32.2)

Seward County, Nebraska

103

8.3

2.5

(3.4–13.2)

Clark County, Nevada

410

16.3

2.0

(12.3–20.2)

Washoe County, Nevada

386

16.2

2.2

(11.8–20.5)

Grafton County, New Hampshire

167

18.8

3.4

(12.1–25.4)

Hillsborough County, New Hampshire

410

19.9

2.1

(15.7–24.0)

Merrimack County, New Hampshire

206

15.9

2.8

(10.4–21.3)

Rockingham County, New Hampshire

272

14.3

2.3

(9.7–18.8)

Strafford County, New Hampshire

172

17.5

3.4

(10.8–24.1)

Atlantic County, New Jersey

262

17.5

2.6

(12.4–22.5)

Bergen County, New Jersey

179

8.3

2.2

(3.9–12.6)

Burlington County, New Jersey

167

11.7

3.1

(5.6–17.7)

Camden County, New Jersey

159

18.1

3.2

(11.8–24.3)

Cape May County, New Jersey

191

16.7

3.2

(10.4–22.9)

Essex County, New Jersey

254

19.4

3.1

(13.3–25.4)

Gloucester County, New Jersey

143

13.8

3.4

(7.1–20.4)

Hudson County, New Jersey

231

17.2

2.8

(11.7–22.6)

Hunterdon County, New Jersey

114

5.7

2.4

(0.9–10.4)

Mercer County, New Jersey

128

15.2

3.8

(7.7–22.6)

Middlesex County, New Jersey

154

13.8

3.2

(7.5–20.0)

Monmouth County, New Jersey

145

11.1

3.0

(5.2–16.9)

Morris County, New Jersey

163

7.7

2.6

(2.6–12.7)

Ocean County, New Jersey

204

13.9

2.6

(8.8–18.9)

Passaic County, New Jersey

144

16.2

3.6

(9.1–23.2)

Somerset County, New Jersey

132

8.0

2.6

(2.9–13.0)

Sussex County, New Jersey

108

15.8

3.8

(8.3–23.2)

Union County, New Jersey

126

9.7

2.9

(4.0–15.3)

Warren County, New Jersey

152

21.4

3.8

(13.9–28.8)


TABLE 12. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

409

14.2

2.0

(10.2–18.1)

Dona Ana County, New Mexico

200

12.6

2.6

(7.5–17.6)

Sandoval County, New Mexico

152

11.7

2.7

(6.4–16.9)

San Juan County, New Mexico

195

22.5

3.5

(15.6–29.3)

Santa Fe County, New Mexico

193

13.1

2.7

(7.8–18.3)

Valencia County, New Mexico

109

23.7

4.6

(14.6–32.7)

Bronx County, New York

114

16.1

3.9

(8.4–23.7)

Erie County, New York

175

19.5

3.4

(12.8–26.1)

Kings County, New York

230

10.8

2.1

(6.6–14.9)

Monroe County, New York

146

11.7

3.1

(5.6–17.7)

Nassau County, New York

167

4.8

1.6

(1.6–7.9)

New York County, New York

325

14.6

2.6

(9.5–19.6)

Queens County, New York

234

14.8

2.5

(9.9–19.7)

Suffolk County, New York

202

11.7

2.4

(6.9–16.4)

Westchester County, New York

117

4.3

2.0

(0.3–8.2)

Buncombe County, North Carolina

102

20.5

4.1

(12.4–28.5)

Cabarrus County, North Carolina

101

25.0

4.8

(15.5–34.4)

Catawba County, North Carolina

96

17.6

3.9

(9.9–25.2)

Durham County, North Carolina

166

16.2

3.4

(9.5–22.8)

Gaston County, North Carolina

84

NA

NA

NA

Guilford County, North Carolina

224

16.2

2.6

(11.1–21.2)

Johnston County, North Carolina

68

NA

NA

NA

Mecklenburg County, North Carolina

179

9.0

2.4

(4.2–13.7)

Orange County, North Carolina

74

8.4

3.3

(1.9–14.8)

Randolph County, North Carolina

147

32.6

4.4

(23.9–41.2)

Union County, North Carolina

95

NA

NA

NA

Wake County, North Carolina

162

11.6

2.7

(6.3–16.8)

Burleigh County, North Dakota

167

20.0

3.2

(13.7–26.2)

Cass County, North Dakota

226

10.3

2.1

(6.1–14.4)

Ward County, North Dakota

136

19.3

3.5

(12.4–26.1)

Cuyahoga County, Ohio

215

19.0

3.1

(12.9–25.0)

Franklin County, Ohio

170

21.0

3.7

(13.7–28.2)

Hamilton County, Ohio

217

16.0

2.7

(10.7–21.2)

Lucas County, Ohio

209

17.3

2.9

(11.6–22.9)

Mahoning County, Ohio

246

21.4

3.8

(13.9–28.8)

Montgomery County, Ohio

254

18.0

2.6

(12.9–23.0)

Stark County, Ohio

225

22.4

3.1

(16.3–28.4)

Summit County, Ohio

231

19.9

3.0

(14.0–25.7)

Cleveland County, Oklahoma

126

14.7

3.9

(7.0–22.3)

Oklahoma County, Oklahoma

465

21.2

2.2

(16.8–25.5)

Tulsa County, Oklahoma

505

21.6

2.1

(17.4–25.7)

Clackamas County, Oregon

145

13.7

3.1

(7.6–19.7)

Lane County, Oregon

180

10.9

2.5

(6.0–15.8)

Multnomah County, Oregon

260

16.8

2.4

(12.0–21.5)

Washington County, Oregon

184

7.3

1.9

(3.5–11.0)

Allegheny County, Pennsylvania

497

15.0

1.7

(11.6–18.3)

Lehigh County, Pennsylvania

80

10.4

3.2

(4.1–16.6)

Luzerne County, Pennsylvania

118

22.9

4.1

(14.8–30.9)

Montgomery County, Pennsylvania

112

4.8

1.9

(1.0–8.5)

Northampton County, Pennsylvania

98

18.4

4.3

(9.9–26.8)

Philadelphia County, Pennsylvania

450

22.3

2.2

(17.9–26.6)

Westmoreland County, Pennsylvania

125

24.8

4.3

(16.3–33.2)

Bristol County, Rhode Island

86

11.4

3.7

(4.1–18.6)

Kent County, Rhode Island

299

14.7

2.1

(10.5–18.8)

Newport County, Rhode Island

169

8.6

2.1

(4.4–12.7)

Providence County, Rhode Island

1,287

19.2

1.2

(16.8–21.5)

Washington County, Rhode Island

259

13.0

2.4

(8.2–17.7)

Aiken County, South Carolina

183

17.9

3.1

(11.8–23.9)

Beaufort County, South Carolina

305

8.8

2.0

(4.8–12.7)

Berkeley County, South Carolina

111

NA

NA

NA

Charleston County, South Carolina

245

8.7

2.4

(3.9–13.4)

Greenville County, South Carolina

191

17.5

3.4

(10.8–24.1)

Horry County, South Carolina

211

16.7

3.0

(10.8–22.5)


TABLE 12. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

207

11.6

2.3

(7.0–16.1)

Minnehaha County, South Dakota

194

21.3

3.1

(15.2–27.3)

Pennington County, South Dakota

218

22.0

3.1

(15.9–28.0)

Davidson County, Tennessee

144

24.8

4.8

(15.3–34.2)

Hamilton County, Tennessee

137

33.1

4.9

(23.4–42.7)

Knox County, Tennessee

125

NA

NA

NA

Shelby County, Tennessee

134

23.5

4.1

(15.4–31.5)

Sullivan County, Tennessee

214

39.3

4.0

(31.4–47.1)

Bexar County, Texas

354

12.4

2.1

(8.2–16.5)

Dallas County, Texas

144

11.2

2.8

(5.7–16.6)

El Paso County, Texas

247

12.1

2.4

(7.3–16.8)

Fort Bend County, Texas

204

11.8

2.9

(6.1–17.4)

Harris County, Texas

393

9.3

1.6

(6.1–12.4)

Hidalgo County, Texas

183

11.6

2.7

(6.3–16.8)

Lubbock County, Texas

296

17.4

2.5

(12.5–22.3)

Midland County, Texas

208

15.3

2.8

(9.8–20.7)

Potter County, Texas

108

16.1

3.6

(9.0–23.1)

Randall County, Texas

175

9.6

2.4

(4.8–14.3)

Smith County, Texas

257

13.2

2.4

(8.4–17.9)

Tarrant County, Texas

196

14.6

2.9

(8.9–20.2)

Travis County, Texas

186

8.1

3.2

(1.8–14.3)

Val Verde County, Texas

191

15.2

3.0

(9.3–21.0)

Webb County, Texas

208

11.4

2.6

(6.3–16.4)

Wichita County, Texas

288

16.0

2.3

(11.4–20.5)

Davis County, Utah

199

9.3

2.1

(5.1–13.4)

Salt Lake County, Utah

784

14.2

1.4

(11.4–16.9)

Summit County, Utah

89

11.3

3.7

(4.0–18.5)

Tooele County, Utah

115

14.6

3.5

(7.7–21.4)

Utah County, Utah

240

8.7

2.0

(4.7–12.6)

Weber County, Utah

215

13.0

2.6

(7.9–18.0)

Chittenden County, Vermont

366

13.1

1.9

(9.3–16.8)

Franklin County, Vermont

114

25.4

4.4

(16.7–34.0)

Orange County, Vermont

94

18.9

4.4

(10.2–27.5)

Rutland County, Vermont

229

16.9

2.8

(11.4–22.3)

Washington County, Vermont

230

20.4

3.0

(14.5–26.2)

Windsor County, Vermont

244

16.3

2.5

(11.4–21.2)

Benton County, Washington

122

13.9

3.7

(6.6–21.1)

Clark County, Washington

316

13.4

2.0

(9.4–17.3)

Franklin County, Washington

55

NA

NA

NA

King County, Washington

909

7.6

0.9

(5.8–9.3)

Kitsap County, Washington

281

9.5

1.9

(5.7–13.2)

Pierce County, Washington

549

12.8

1.5

(9.8–15.7)

Snohomish County, Washington

437

12.7

1.7

(9.3–16.0)

Spokane County, Washington

394

11.8

1.7

(8.4–15.1)

Thurston County, Washington

212

9.1

2.2

(4.7–13.4)

Yakima County, Washington

245

14.2

2.3

(9.6–18.7)

Kanawha County, West Virginia

188

31.7

3.7

(24.4–38.9)

Milwaukee County, Wisconsin

320

19.0

3.3

(12.5–25.4)

Laramie County, Wyoming

312

20.5

2.5

(15.6–25.4)

Natrona County, Wyoming

229

21.1

3.1

(15.0–27.1)

Median

14.4

Range

2.4-39.3

Abbreviations: SE = standard error; CI = confidence interval.

* Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 13. Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

7,518

75.9

0.8

(74.3–77.5)

Alaska

1,888

63.7

1.8

(60.2–67.2)

Arizona

5,703

65.6

1.2

(63.2–68.0)

Arkansas

3,973

59.4

1.3

(56.8–62.0)

California

17,741

63.7

0.5

(62.7–64.7)

Colorado

11,420

60.4

0.7

(58.9–61.9)

Connecticut

6,716

70.9

0.9

(69.1–72.7)

Delaware

4,225

76.1

1.1

(74.0–78.2)

District of Columbia

3,943

77.4

0.9

(75.6–79.2)

Florida

34,819

69.7

0.6

(68.5–70.9)

Georgia

5,738

75.5

0.9

(73.8–77.2)

Hawaii

6,489

62.1

0.9

(60.3–63.9)

Idaho

6,960

56.1

0.9

(54.3–57.9)

Illinois

5,192

63.7

1.0

(61.7–65.7)

Indiana

10,121

62.8

0.8

(61.3–64.3)

Iowa

6,022

72.5

0.9

(70.8–74.2)

Kansas

8,409

71.1

0.7

(69.7–72.5)

Kentucky

7,931

63.5

1.0

(61.5–65.5)

Louisiana

6,957

75.3

0.8

(73.7–76.9)

Maine

8,085

70.2

0.7

(68.7–71.7)

Maryland

9,108

77.8

0.7

(76.4–79.2)

Massachusetts

16,199

80.0

0.5

(78.9–81.1)

Michigan

8,796

65.8

0.8

(64.3–67.3)

Minnesota

8,879

71.2

1.0

(69.3–73.1)

Mississippi

7,999

67.1

0.9

(65.4–68.8)

Missouri

5,349

63.7

1.2

(61.4–66.0)

Montana

7,240

55.7

1.0

(53.7–57.7)

Nebraska

16,180

56.8

0.9

(55.0–58.6)

Nevada

3,868

62.2

1.4

(59.4–65.0)

New Hampshire

6,009

70.8

0.9

(69.1–72.5)

New Jersey

12,292

77.0

0.6

(75.8–78.2)

New Mexico

6,905

62.1

1.0

(60.2–64.0)

New York

8,870

73.0

0.7

(71.7–74.3)

North Carolina

11,970

74.5

0.7

(73.1–75.9)

North Dakota

4,726

64.5

1.1

(62.4–66.6)

Ohio

9,738

70.1

0.8

(68.6–71.6)

Oklahoma

7,563

57.1

0.8

(55.5–58.7)

Oregon

4,934

53.8

1.1

(51.7–55.9)

Pennsylvania

11,163

68.8

0.7

(67.5–70.1)

Rhode Island

6,565

78.8

0.9

(77.0–80.6)

South Carolina

9,260

66.2

1.0

(64.2–68.2)

South Dakota

6,663

67.5

1.0

(65.6–69.4)

Tennessee

5,712

78.2

1.0

(76.3–80.1)

Texas

17,893

61.1

0.8

(59.6–62.6)

Utah

9,986

58.6

0.8

(57.1–60.1)

Vermont

6,748

64.5

0.8

(62.8–66.2)

Virginia

5,336

73.3

1.3

(70.7–75.9)

Washington

19,292

60.3

0.6

(59.2–61.4)

West Virginia

4,350

73.9

1.0

(72.0–75.8)

Wisconsin

4,750

68.5

1.1

(66.3–70.7)

Wyoming

5,780

57.0

1.0

(55.1–58.9)

Guam

776

60.2

2.2

(55.8–64.6)

Puerto Rico

3,491

78.8

1.0

(76.8–80.8)

Virgin Islands

1,802

66.0

1.6

(62.9–69.1)

Median

66.7

Range

53.8-80.0

Abbreviations: SE = standard error; CI = confidence interval.


TABLE 14. Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

802

68.6

2.8

(63.2–74.0)

Albuquerque, New Mexico

2,173

65.2

1.6

(62.0–68.4)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

1,084

69.9

2.1

(65.7–74.1)

Amarillo, Texas

820

61.0

2.6

(55.8–66.2)

Arcadia, Florida

501

60.2

4.3

(51.7–68.7)

Asheville, North Carolina

539

74.4

2.9

(68.7–80.1)

Atlanta-Sandy Springs-Marietta, Georgia

2,332

75.7

1.6

(72.5–78.9)

Atlantic City, New Jersey

909

76.0

2.1

(71.9–80.1)

Augusta-Richmond County, Georgia-South Carolina

860

77.0

2.0

(73.0–81.0)

Augusta-Waterville, Maine

647

70.5

2.5

(65.5–75.5)

Austin-Round Rock, Texas

973

65.2

3.3

(58.7–71.7)

Baltimore-Towson, Maryland

3,318

78.5

1.1

(76.4–80.6)

Bangor, Maine

690

70.7

2.5

(65.9–75.5)

Barre, Vermont

666

62.7

2.6

(57.7–67.7)

Baton Rouge, Louisiana

1,187

77.2

1.7

(73.8–80.6)

Bethesda-Gaithersburg-Frederick, Maryland*

1,635

75.4

1.5

(72.4–78.4)

Billings, Montana

532

59.5

3.1

(53.5–65.5)

Birmingham-Hoover, Alabama

1,183

77.6

1.8

(74.0–81.2)

Bismarck, North Dakota

767

60.4

2.5

(55.5–65.3)

Boise City-Nampa, Idaho

1,658

56.9

1.8

(53.3–60.5)

Boston-Quincy, Massachusetts*

3,289

82.6

1.1

(80.4–84.8)

Bremerton-Silverdale, Washington

901

61.1

2.2

(56.7–65.5)

Bridgeport-Stamford-Norwalk, Connecticut

2,161

68.0

1.8

(64.5–71.5)

Buffalo-Cheektowaga-Tonawanda, New York

607

75.9

2.9

(70.2–81.6)

Burlington-South Burlington, Vermont

1,987

62.4

1.6

(59.3–65.5)

Cambridge-Newton-Framingham, Massachusetts*

3,015

77.5

1.4

(74.7–80.3)

Camden, New Jersey*

1,673

77.5

1.5

(74.6–80.4)

Canton-Massillon, Ohio

741

64.7

2.6

(59.5–69.9)

Cape Coral-Fort Myers, Florida

516

69.7

4.0

(61.8–77.6)

Casper, Wyoming

761

54.1

2.6

(49.1–59.1)

Cedar Rapids, Iowa

551

74.2

2.6

(69.1–79.3)

Charleston, West Virginia

754

77.5

2.3

(73.0–82.0)

Charleston-North Charleston, South Carolina

1,133

65.0

2.8

(59.5–70.5)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,688

72.0

1.8

(68.5–75.5)

Chattanooga, Tennessee-Georgia

536

77.4

3.2

(71.1–83.7)

Cheyenne, Wyoming

906

61.3

2.3

(56.9–65.7)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

5,001

65.4

1.2

(63.1–67.7)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,778

69.5

1.8

(65.9–73.1)

Cleveland-Elyria-Mentor, Ohio

1,091

72.3

2.1

(68.2–76.4)

Coeur d´Alene, Idaho

562

56.3

3.2

(50.0–62.6)

Colorado Springs, Colorado

1,142

64.1

2.0

(60.2–68.0)

Columbia, South Carolina

1,122

68.2

2.5

(63.3–73.1)

Columbus, Ohio

1,374

71.2

1.9

(67.5–74.9)

Concord, New Hampshire

641

67.8

2.9

(62.0–73.6)

Dallas-Plano-Irving, Texas*

710

61.0

2.9

(55.3–66.7)

Dayton, Ohio

843

70.2

2.5

(65.2–75.2)

Del Rio, Texas

554

71.2

3.7

(64.0–78.4)

Deltona-Daytona Beach-Ormond Beach, Florida

853

65.2

2.9

(59.6–70.8)

Denver-Aurora, Colorado

4,753

60.9

1.0

(58.8–63.0)

Des Moines-West Des Moines, Iowa

991

73.5

1.9

(69.9–77.1)

Detroit-Livonia-Dearborn, Michigan*

1,902

67.8

1.9

(64.1–71.5)

Dover, Delaware

1,251

78.2

1.9

(74.4–82.0)

Durham, North Carolina

1,029

76.6

2.2

(72.3–80.9)

Edison, New Jersey*

2,247

79.2

1.3

(76.6–81.8)

El Paso, Texas

861

53.1

2.5

(48.2–58.0)

Eugene-Springfield, Oregon

498

49.5

3.3

(43.0–56.0)

Evansville, Indiana-Kentucky

528

71.6

3.1

(65.5–77.7)

Fargo, North Dakota-Minnesota

827

73.7

3.0

(67.8–79.6)

Farmington, New Mexico

681

54.8

2.8

(49.2–60.4)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

695

56.4

3.3

(50.0–62.8)

Fort Collins-Loveland, Colorado

553

57.0

3.5

(50.1–63.9)

Fort Wayne, Indiana

713

57.5

2.5

(52.6–62.4)

Fort Worth-Arlington, Texas*

735

64.5

2.8

(59.0–70.0)


TABLE 14. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

947

53.2

3.7

(46.0–60.4)

Grand Island, Nebraska

854

52.2

2.4

(47.4–57.0)

Grand Rapids-Wyoming, Michigan

618

61.9

2.9

(56.1–67.7)

Greensboro-High Point, North Carolina

1,146

67.5

2.5

(62.5–72.5)

Greenville, South Carolina

757

62.7

3.2

(56.5–68.9)

Hagerstown-Martinsburg, Maryland-West Virginia

638

67.5

3.0

(61.7–73.3)

Hartford-West Hartford-East Hartford, Connecticut

2,007

72.9

1.6

(69.7–76.1)

Hastings, Nebraska

576

57.0

3.2

(50.7–63.3)

Helena, Montana

636

58.0

2.9

(52.3–63.7)

Hickory-Morganton-Lenoir, North Carolina

596

78.5

2.3

(74.0–83.0)

Hilo, Hawaii

1,462

58.5

1.8

(54.9–62.1)

Hilton Head Island-Beaufort, South Carolina

797

70.3

2.6

(65.3–75.3)

Homosassa Springs, Florida

532

72.9

2.9

(67.2–78.6)

Honolulu, Hawaii

2,937

64.0

1.2

(61.6–66.4)

Houston-Sugar Land-Baytown, Texas

2,723

61.7

1.7

(58.4–65.0)

Huntington-Ashland, West Virginia-Kentucky-Ohio

648

70.2

2.8

(64.7–75.7)

Idaho Falls, Idaho

661

57.5

2.6

(52.4–62.6)

Indianapolis-Carmel, Indiana

2,242

67.5

1.6

(64.4–70.6)

Jackson, Mississippi

756

71.7

2.4

(67.0–76.4)

Jacksonville, Florida

2,573

69.5

2.1

(65.5–73.5)

Kahului-Wailuku, Hawaii

1,453

55.7

2.1

(51.6–59.8)

Kalispell, Montana

694

54.2

2.6

(49.2–59.2)

Kansas City, Missouri-Kansas

3,329

69.2

1.4

(66.5–71.9)

Kapaa, Hawaii

637

56.2

2.9

(50.5–61.9)

Kennewick-Richland-Pasco, Washington

634

63.9

2.7

(58.7–69.1)

Key West-Marathon, Florida

503

67.0

3.1

(60.9–73.1)

Kingsport-Bristol, Tennessee-Virginia

648

75.3

3.6

(68.3–82.3)

Knoxville, Tennessee

527

78.5

2.8

(73.0–84.0)

Lake City, Florida

564

66.1

3.3

(59.7–72.5)

Lakeland-Winter Haven, Florida

516

65.1

3.2

(58.9–71.3)

Laredo, Texas

910

53.9

2.2

(49.5–58.3)

Las Cruces, New Mexico

495

63.6

3.5

(56.7–70.5)

Las Vegas-Paradise, Nevada

1,257

62.4

1.9

(58.7–66.1)

Lebanon, New Hampshire-Vermont

1,546

68.4

1.7

(65.0–71.8)

Lewiston, Idaho-Washington

598

59.3

2.9

(53.6–65.0)

Lewiston-Auburn, Maine

498

70.9

2.8

(65.4–76.4)

Lincoln, Nebraska

1,126

54.8

2.6

(49.8–59.8)

Little Rock-North Little Rock, Arkansas

813

60.9

2.9

(55.2–66.6)

Los Angeles-Long Beach-Glendale, California*

2,608

65.8

1.3

(63.3–68.3)

Louisville, Kentucky-Indiana

898

59.7

2.4

(55.0–64.4)

Lubbock, Texas

776

64.4

2.9

(58.7–70.1)

Manchester-Nashua, New Hampshire

1,414

71.3

1.8

(67.8–74.8)

McAllen-Edinburg-Mission, Texas

588

50.9

2.8

(45.3–56.5)

Memphis, Tennessee-Mississippi-Arkansas

1,150

75.8

2.8

(70.3–81.3)

Miami-Fort Lauderdale-Miami Beach, Florida

1,025

64.7

2.3

(60.1–69.3)

Midland, Texas

522

59.9

3.1

(53.8–66.0)

Milwaukee-Waukesha-West Allis, Wisconsin

1,524

72.2

2.2

(67.8–76.6)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

4,825

71.6

1.3

(69.0–74.2)

Minot, North Dakota

553

69.2

2.7

(64.0–74.4)

Mobile, Alabama

671

74.4

2.9

(68.8–80.0)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

552

64.2

3.1

(58.1–70.3)

Naples-Marco Island, Florida

518

70.8

3.2

(64.5–77.1)

Nashville-Davidson-Murfreesboro, Tennessee

823

80.5

2.2

(76.2–84.8)

Nassau-Suffolk, New York*

1,064

73.3

1.9

(69.7–76.9)

Newark-Union, New Jersey-Pennsylvania*

3,301

76.0

1.2

(73.7–78.3)

New Haven-Milford, Connecticut

1,659

69.7

1.9

(65.9–73.5)

New Orleans-Metairie-Kenner, Louisiana

1,521

72.8

1.9

(69.2–76.4)

New York-White Plains-Wayne, New York-New Jersey*

6,132

75.2

0.9

(73.5–76.9)

Norfolk, Nebraska

667

60.3

2.8

(54.9–65.7)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

572

1,126

57.5

69.6

3.1

2.4

(51.4–63.6)

(64.8–74.0)

Ocala, Florida

585

65.3

3.2

(59.1–71.5)

Ocean City, New Jersey

514

81.6

2.4

(76.8–86.4)


TABLE 14. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

1,661

61.9

1.7

(58.6–65.2)

Oklahoma City, Oklahoma

2,419

57.4

1.4

(54.7–60.1)

Olympia, Washington

763

58.0

2.5

(53.1–62.9)

Omaha-Council Bluffs, Nebraska-Iowa

2,337

60.1

1.5

(57.1–63.1)

Orlando-Kissimmee, Florida

2,659

68.3

1.5

(65.3–71.3)

Palm Bay-Melbourne-Titusville, Florida

525

64.9

3.0

(59.0–70.8)

Panama City-Lynn Haven, Florida

Peabody, Massachusetts

540

2,099

62.8

80.6

3.5

1.7

(56.0–69.6)

(77.0–83.7)

Pensacola-Ferry Pass-Brent, Florida

1,009

65.2

2.5

(60.4–70.0)

Philadelphia, Pennsylvania*

2,357

68.6

1.6

(65.5–71.7)

Phoenix-Mesa-Scottsdale, Arizona

1,678

66.8

1.9

(63.0–70.6)

Pittsburgh, Pennsylvania

2,405

67.7

1.4

(64.9–70.5)

Portland-South Portland-Biddeford, Maine

2,618

71.6

1.3

(69.1–74.1)

Portland-Vancouver-Beaverton, Oregon-Washington

3,320

52.1

1.4

(49.3–54.9)

Port St. Lucie-Fort Pierce, Florida

1,015

70.6

2.5

(65.7–75.5)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

9,468

79.4

0.8

(77.7–81.1)

Provo-Orem, Utah

1,154

53.8

2.3

(49.3–58.3)

Raleigh-Cary, North Carolina

1,016

75.6

2.0

(71.7–79.5)

Rapid City, South Dakota

842

64.7

2.2

(60.5–68.9)

Reno-Sparks, Nevada

1,315

61.9

1.8

(58.3–65.5)

Richmond, Virginia

792

75.5

2.9

(69.9–81.1)

Riverside-San Bernardino-Ontario, California

1,877

63.1

1.6

(59.9–66.3)

Rochester, New York

561

65.2

3.0

(59.4–71.0)

Rockingham County-Strafford County, New Hampshire*

1,605

72.8

1.6

(69.7–75.9)

Rutland, Vermont

657

65.0

2.5

(60.1–69.9)

Sacramento-Arden-Arcade-Roseville, California

1,291

64.6

2.1

(60.5–68.7)

St. Louis, Missouri-Illinois

1,737

64.9

2.1

(60.8–69.0)

Salt Lake City, Utah

4,262

58.4

1.1

(56.3–60.5)

San Antonio, Texas

1,127

61.3

2.3

(56.7–65.9)

San Diego-Carlsbad-San Marcos, California

1,695

60.1

1.7

(56.8–63.4)

San Francisco-Oakland-Fremont, California

2,354

65.7

1.4

(63.0–68.4)

San Jose-Sunnyvale-Santa Clara, California

910

63.9

2.2

(59.6–68.2)

Santa Ana-Anaheim-Irvine, California*

1,444

63.6

1.8

(60.1–67.1)

Santa Fe, New Mexico

608

57.5

2.9

(51.8–63.2)

Scottsbluff, Nebraska

745

53.8

2.8

(48.4–59.2)

Scranton-Wilkes-Barre, Pennsylvania

555

68.8

3.0

(63.0–74.6)

Seaford, Delaware

1,236

80.2

1.9

(76.4–84.0)

Seattle-Bellevue-Everett, Washington*

4,630

61.6

1.0

(59.6–63.6)

Sebring, Florida

518

67.0

3.2

(60.8–73.2)

Shreveport-Bossier City, Louisiana

678

77.2

2.4

(72.6–81.8)

Sioux City, Iowa-Nebraska-South Dakota

1,209

66.5

3.0

(60.7–72.3)

Sioux Falls, South Dakota

835

72.3

2.2

(68.0–76.6)

Spokane, Washington

1,196

63.6

2.0

(59.6–67.6)

Springfield, Massachusetts

2,036

75.8

2.2

(71.4–80.2)

Tacoma, Washington*

1,694

65.2

1.6

(62.1–68.3)

Tallahassee, Florida

2,036

69.5

2.5

(64.5–74.5)

Tampa-St. Petersburg-Clearwater, Florida

2,022

70.6

1.9

(66.8–74.4)

Toledo, Ohio

854

70.4

2.6

(65.3–75.5)

Topeka, Kansas

823

73.5

2.2

(69.3–77.7)

Trenton-Ewing, New Jersey

497

75.3

2.8

(69.7–80.9)

Tucson, Arizona

690

62.9

3.1

(56.8–69.0)

Tulsa, Oklahoma

2,106

58.5

1.5

(55.5–61.5)

Tuscaloosa, Alabama

513

74.4

3.2

(68.1–80.7)

Twin Falls, Idaho

537

56.9

3.1

(50.8–63.0)

Tyler, Texas

670

64.5

3.3

(58.0–71.0)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

1,100

76.4

2.5

(71.5–81.3)

Warren-Troy-Farmington Hills, Michigan*

1,793

68.6

1.8

(65.1–72.1)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia*

6,388

75.7

1.7

(72.4–79.0)

Wauchula, Florida

526

61.8

3.8

(54.3–69.3)

West Palm Beach-Boca Raton-Boynton Beach, Florida*

549

75.1

2.9

(69.4–80.8)

Wichita, Kansas

1,831

70.7

1.6

(67.6–73.8)

Wichita Falls, Texas

824

61.0

2.9

(55.3–66.7)

Wilmington, Delaware-Maryland-New Jersey*

2,195

73.9

1.4

(71.2–76.6)


TABLE 14. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

2,093

80.9

1.6

(77.7–84.1)

Yakima, Washington

731

57.4

2.8

(52.0–62.8)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

1,049

68.6

2.9

(62.9–74.3)

Median

67.0

Range

49.5-82.6

Abbreviations: SE = standard error; CI = confidence interval.

* Metropolitan division.


TABLE 15. Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

592

80.1

2.4

(75.3–84.9)

Mobile County, Alabama

671

74.4

2.9

(68.8–80.0)

Tuscaloosa County, Alabama

431

72.5

3.5

(65.7–79.3)

Maricopa County, Arizona

1,291

66.5

2.0

(62.5–70.5)

Pima County, Arizona

690

62.9

3.1

(56.8–69.0)

Pinal County, Arizona

387

69.2

4.3

(60.7–77.7)

Benton County, Arkansas

360

62.3

4.0

(54.5–70.1)

Pulaski County, Arkansas

552

63.7

3.7

(56.4–71.0)

Washington County, Arkansas

295

55.1

4.6

(46.1–64.1)

Alameda County, California

756

67.5

2.2

(63.2–71.8)

Contra Costa County, California

629

67.5

2.7

(62.2–72.8)

Los Angeles County, California

2,608

65.8

1.3

(63.3–68.3)

Orange County, California

1,444

63.6

1.8

(60.1–67.1)

Placer County, California

254

64.5

4.1

(56.4–72.6)

Riverside County, California

931

62.1

2.3

(57.7–66.5)

Sacramento County, California

750

65.8

2.4

(61.2–70.4)

San Bernardino County, California

946

64.0

2.3

(59.5–68.5)

San Diego County, California

1,695

60.1

1.7

(56.8–63.4)

San Francisco County, California

386

66.6

3.2

(60.3–72.9)

San Mateo County, California

384

63.2

3.3

(56.8–69.6)

Santa Clara County, California

872

64.6

2.2

(60.2–69.0)

Adams County, Colorado

792

57.0

2.6

(51.9–62.1)

Arapahoe County, Colorado

858

64.2

2.3

(59.7–68.7)

Denver County, Colorado

860

57.9

2.4

(53.2–62.6)

Douglas County, Colorado

570

65.5

2.7

(60.3–70.7)

El Paso County, Colorado

1,013

64.4

2.1

(60.3–68.5)

Jefferson County, Colorado

1,151

59.7

2.1

(55.5–63.9)

Larimer County, Colorado

553

57.0

3.5

(50.1–63.9)

Fairfield County, Connecticut

2,161

68.0

1.8

(64.5–71.5)

Hartford County, Connecticut

1,492

73.3

1.8

(69.8–76.8)

Middlesex County, Connecticut

263

70.3

3.7

(63.1–77.5)

New Haven County, Connecticut

1,659

69.7

1.9

(65.9–73.5)

Tolland County, Connecticut

252

72.7

3.8

(65.3–80.1)

Kent County, Delaware

1,251

78.2

1.9

(74.4–82.0)

New Castle County, Delaware

1,738

73.8

1.6

(70.7–76.9)

Sussex County, Delaware

1,236

80.2

1.9

(76.4–84.0)

District of Columbia, District of Columbia

3,943

76.4

1.1

(74.2–78.6)

Alachua County, Florida

532

52.9

3.8

(45.5–60.3)

Baker County, Florida

506

69.7

4.2

(61.4–78.0)

Bay County, Florida

540

62.8

3.5

(56.0–69.6)

Brevard County, Florida

525

64.9

3.0

(59.0–70.8)

Broward County, Florida

523

66.9

3.0

(61.0–72.8)

Citrus County, Florida

532

72.9

2.9

(67.2–78.6)

Clay County, Florida

481

62.3

3.1

(56.3–68.3)

Collier County, Florida

518

70.8

3.2

(64.5–77.1)

Columbia County, Florida

564

66.1

3.3

(59.7–72.5)

DeSoto County, Florida

501

60.2

4.3

(51.7–68.7)

Duval County, Florida

549

72.7

2.8

(67.2–78.2)

Escambia County, Florida

516

63.7

3.4

(57.0–70.4)

Gadsden County, Florida

509

75.0

3.0

(69.1–80.9)

Gilchrist County, Florida

415

NA*

NA

NA

Hardee County, Florida

526

61.8

3.8

(54.3–69.3)

Hernando County, Florida

487

69.0

3.4

(62.4–75.6)

Highlands County, Florida

518

67.0

3.2

(60.8–73.2)

Hillsborough County, Florida

506

68.0

3.2

(61.8–74.2)

Jefferson County, Florida

497

66.5

4.1

(58.6–74.4)

Lake County, Florida

606

76.9

2.8

(71.5–82.3)

Lee County, Florida

516

69.7

4.0

(61.8–77.6)

Leon County, Florida

496

68.3

3.4

(61.7–74.9)

Manatee County, Florida

524

68.6

3.5

(61.8–75.4)

Marion County, Florida

585

65.3

3.2

(59.1–71.5)

Martin County, Florida

517

71.3

2.9

(65.6–77.0)

Miami-Dade County, Florida

502

65.9

3.2

(59.6–72.2)


TABLE 15. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

503

67.0

3.1

(60.9–73.1)

Nassau County, Florida

519

NA

NA

NA

Orange County, Florida

1,003

69.8

2.2

(65.4–74.2)

Osceola County, Florida

564

60.9

3.3

(54.5–67.3)

Palm Beach County, Florida

549

75.1

2.9

(69.4–80.8)

Pasco County, Florida

537

65.8

3.6

(58.8–72.8)

Pinellas County, Florida

492

76.4

3.1

(70.3–82.5)

Polk County, Florida

516

65.1

3.2

(58.9–71.3)

St. Johns County, Florida

518

71.3

2.9

(65.6–77.0)

St. Lucie County, Florida

498

70.7

3.1

(64.6–76.8)

Santa Rosa County, Florida

493

68.7

3.1

(62.7–74.7)

Sarasota County, Florida

605

70.5

3.1

(64.5–76.5)

Seminole County, Florida

486

61.5

3.2

(55.2–67.8)

Volusia County, Florida

853

65.2

2.9

(59.6–70.8)

Wakulla County, Florida

534

66.1

3.7

(58.9–73.3)

Cobb County, Georgia

252

74.6

3.6

(67.5–81.7)

DeKalb County, Georgia

341

79.3

3.1

(73.3–85.3)

Fulton County, Georgia

325

76.5

3.5

(69.7–83.3)

Gwinnett County, Georgia

250

73.3

3.7

(66.0–80.6)

Hawaii County, Hawaii

1,462

58.5

1.8

(54.9–62.1)

Honolulu County, Hawaii

2,937

64.0

1.2

(61.6–66.4)

Kauai County, Hawaii

637

56.2

2.9

(50.5–61.9)

Maui County, Hawaii

1,453

55.7

2.1

(51.6–59.8)

Ada County, Idaho

863

59.7

2.6

(54.6–64.8)

Bonneville County, Idaho

518

59.5

2.9

(53.9–65.1)

Canyon County, Idaho

617

53.0

2.8

(47.5–58.5)

Kootenai County, Idaho

562

56.3

3.2

(50.0–62.6)

Nez Perce County, Idaho

380

56.7

3.5

(49.9–63.5)

Twin Falls County, Idaho

431

57.0

3.3

(50.5–63.5)

Cook County, Illinois

2,883

69.0

1.3

(66.4–71.6)

DuPage County, Illinois

256

53.7

3.9

(46.1–61.3)

Allen County, Indiana

579

55.9

2.8

(50.4–61.4)

Lake County, Indiana

991

61.3

3.0

(55.4–67.2)

Marion County, Indiana

1,456

71.5

2.1

(67.4–75.6)

Linn County, Iowa

489

73.6

2.8

(68.1–79.1)

Polk County, Iowa

758

71.3

2.3

(66.8–75.8)

Johnson County, Kansas

1,393

75.5

1.5

(72.5–78.5)

Sedgwick County, Kansas

1,421

70.6

1.7

(67.2–74.0)

Shawnee County, Kansas

616

73.3

2.7

(68.1–78.5)

Wyandotte County, Kansas

594

66.8

3.2

(60.6–73.0)

Jefferson County, Kentucky

400

58.3

3.4

(51.7–64.9)

Caddo Parish, Louisiana

442

77.1

2.7

(71.8–82.4)

East Baton Rouge Parish, Louisiana

717

79.6

2.2

(75.2–84.0)

Jefferson Parish, Louisiana

591

71.6

2.7

(66.2–77.0)

Orleans Parish, Louisiana

374

76.2

3.2

(69.9–82.5)

St. Tammany Parish, Louisiana

367

70.1

4.0

(62.3–77.9)

Androscoggin County, Maine

498

70.9

2.8

(65.4–76.4)

Cumberland County, Maine

1,382

72.0

1.8

(68.5–75.5)

Kennebec County, Maine

647

70.5

2.5

(65.5–75.5)

Penobscot County, Maine

690

70.7

2.5

(65.9–75.5)

Sagadahoc County, Maine

297

72.8

3.2

(66.5–79.1)

York County, Maine

939

71.2

2.0

(67.2–75.2)

Anne Arundel County, Maryland

597

76.5

2.6

(71.5–81.5)

Baltimore County, Maryland

1,049

81.5

1.6

(78.3–84.7)

Cecil County, Maryland

267

73.1

3.7

(65.8–80.4)

Charles County, Maryland

346

81.0

3.1

(75.0–87.0)

Frederick County, Maryland

575

71.0

2.6

(65.9–76.1)

Harford County, Maryland

279

79.2

3.0

(73.4–85.0)

Howard County, Maryland

340

77.4

2.8

(72.0–82.8)

Montgomery County, Maryland

1,060

76.5

1.8

(73.0–80.0)

Prince George´s County, Maryland

791

80.4

2.0

(76.5–84.3)

Queen Anne´s County, Maryland

293

73.0

3.5

(66.1–79.9)

Washington County, Maryland

401

69.7

3.2

(63.3–76.1)


TABLE 15. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

529

78.0

2.7

(72.7–83.3)

Bristol County, Massachusetts

2,903

81.0

1.9

(77.3–84.7)

Essex County, Massachusetts

2,127

81.3

1.7

(77.9–84.7)

Hampden County, Massachusetts

1,580

79.8

1.9

(76.1–83.5)

Hampshire County, Massachusetts

274

73.7

4.4

(65.1–82.3)

Middlesex County, Massachusetts

3,015

77.9

1.4

(75.2–80.6)

Norfolk County, Massachusetts

856

83.3

1.8

(79.8–86.8)

Plymouth County, Massachusetts

684

85.3

2.0

(81.3–89.3)

Suffolk County, Massachusetts

1,749

79.4

1.8

(75.8–83.0)

Worcester County, Massachusetts

2,093

80.9

1.6

(77.7–84.1)

Kent County, Michigan

441

62.5

3.4

(55.7–69.3)

Macomb County, Michigan

514

73.1

2.7

(67.9–78.3)

Oakland County, Michigan

932

68.0

2.4

(63.4–72.6)

Wayne County, Michigan

1,902

67.8

1.9

(64.1–71.5)

Anoka County, Minnesota

393

75.7

3.2

(69.5–81.9)

Dakota County, Minnesota

564

75.4

2.7

(70.1–80.7)

Hennepin County, Minnesota

2,037

73.6

2.0

(69.7–77.5)

Ramsey County, Minnesota

912

67.5

3.7

(60.3–74.7)

Washington County, Minnesota

257

72.7

3.9

(65.1–80.3)

DeSoto County, Mississippi

368

57.3

3.9

(49.6–65.0)

Hinds County, Mississippi

339

75.6

3.3

(69.2–82.0)

Jackson County, Missouri

523

68.2

2.8

(62.7–73.7)

St. Louis County, Missouri

597

65.8

3.5

(59.0–72.6)

St. Louis city, Missouri

642

68.6

3.9

(60.9–76.3)

Flathead County, Montana

694

54.2

2.6

(49.2–59.2)

Lewis and Clark County, Montana

529

57.6

2.9

(52.0–63.2)

Yellowstone County, Montana

482

60.2

3.2

(53.9–66.5)

Adams County, Nebraska

469

58.3

3.5

(51.4–65.2)

Dakota County, Nebraska

732

54.8

2.5

(49.9–59.7)

Douglas County, Nebraska

941

58.2

2.3

(53.7–62.7)

Hall County, Nebraska

583

51.6

3.0

(45.8–57.4)

Lancaster County, Nebraska

845

55.1

2.7

(49.8–60.4)

Lincoln County, Nebraska

541

58.3

3.2

(52.0–64.6)

Madison County, Nebraska

460

61.9

3.4

(55.2–68.6)

Sarpy County, Nebraska

575

59.3

3.1

(53.2–65.4)

Scotts Bluff County, Nebraska

722

52.1

2.8

(46.6–57.6)

Seward County, Nebraska

281

52.1

4.2

(43.9–60.3)

Clark County, Nevada

1,257

62.4

1.9

(58.7–66.1)

Washoe County, Nevada

1,295

62.0

1.8

(58.4–65.6)

Grafton County, New Hampshire

512

72.3

2.9

(66.6–78.0)

Hillsborough County, New Hampshire

1,414

71.3

1.8

(67.8–74.8)

Merrimack County, New Hampshire

641

67.8

2.9

(62.0–73.6)

Rockingham County, New Hampshire

1,020

74.0

1.9

(70.3–77.7)

Strafford County, New Hampshire

585

69.4

2.8

(64.0–74.8)

Atlantic County, New Jersey

909

76.0

2.1

(71.9–80.1)

Bergen County, New Jersey

618

74.3

2.5

(69.4–79.2)

Burlington County, New Jersey

559

78.9

2.5

(74.1–83.7)

Camden County, New Jersey

594

74.7

2.6

(69.5–79.9)

Cape May County, New Jersey

514

81.6

2.4

(76.8–86.4)

Essex County, New Jersey

1,022

78.0

1.8

(74.4–81.6)

Gloucester County, New Jersey

520

75.7

2.7

(70.3–81.1)

Hudson County, New Jersey

1,088

75.8

1.8

(72.3–79.3)

Hunterdon County, New Jersey

508

74.9

2.5

(70.0–79.8)

Mercer County, New Jersey

497

75.3

2.8

(69.7–80.9)

Middlesex County, New Jersey

624

80.4

2.2

(76.1–84.7)

Monmouth County, New Jersey

560

78.9

2.4

(74.2–83.6)

Morris County, New Jersey

697

72.6

2.4

(68.0–77.2)

Ocean County, New Jersey

532

79.9

2.4

(75.2–84.6)

Passaic County, New Jersey

495

74.3

2.8

(68.7–79.9)

Somerset County, New Jersey

531

77.9

2.2

(73.6–82.2)

Sussex County, New Jersey

499

74.8

2.5

(69.8–79.8)

Union County, New Jersey

517

75.9

2.6

(70.8–81.0)

Warren County, New Jersey

478

75.5

2.7

(70.3–80.7)


TABLE 15. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

1,249

67.8

2.0

(63.8–71.8)

Dona Ana County, New Mexico

495

63.6

3.5

(56.7–70.5)

Sandoval County, New Mexico

519

58.2

3.5

(51.4–65.0)

San Juan County, New Mexico

681

54.8

2.8

(49.2–60.4)

Santa Fe County, New Mexico

608

57.5

2.9

(51.8–63.2)

Valencia County, New Mexico

347

60.7

3.8

(53.3–68.1)

Bronx County, New York

428

73.3

3.2

(67.1–79.5)

Erie County, New York

477

79.6

2.7

(74.3–84.9)

Kings County, New York

897

77.6

1.9

(73.9–81.3)

Monroe County, New York

379

66.3

3.4

(59.6–73.0)

Nassau County, New York

475

75.2

2.7

(69.9–80.5)

New York County, New York

1,031

73.9

2.1

(69.8–78.0)

Queens County, New York

795

77.1

2.2

(72.7–81.5)

Suffolk County, New York

589

71.2

2.6

(66.1–76.3)

Westchester County, New York

382

71.3

3.1

(65.2–77.4)

Buncombe County, North Carolina

260

71.2

4.0

(63.4–79.0)

Cabarrus County, North Carolina

305

66.2

3.7

(58.9–73.5)

Catawba County, North Carolina

290

76.8

3.4

(70.1–83.5)

Durham County, North Carolina

619

78.1

2.5

(73.2–83.0)

Gaston County, North Carolina

264

67.6

4.1

(59.6–75.6)

Guilford County, North Carolina

690

67.6

2.8

(62.1–73.1)

Johnston County, North Carolina

273

78.7

3.2

(72.4–85.0)

Mecklenburg County, North Carolina

601

77.7

2.4

(73.1–82.3)

Orange County, North Carolina

296

69.9

4.0

(62.0–77.8)

Randolph County, North Carolina

393

62.5

3.6

(55.5–69.5)

Union County, North Carolina

343

71.5

3.6

(64.4–78.6)

Wake County, North Carolina

706

75.4

2.5

(70.6–80.2)

Burleigh County, North Dakota

559

57.6

3.2

(51.3–63.9)

Cass County, North Dakota

773

69.4

2.7

(64.1–74.7)

Ward County, North Dakota

462

70.9

2.9

(65.2–76.6)

Cuyahoga County, Ohio

714

73.7

2.3

(69.2–78.2)

Franklin County, Ohio

676

71.0

2.7

(65.8–76.2)

Hamilton County, Ohio

719

70.8

2.5

(65.9–75.7)

Lucas County, Ohio

722

73.3

2.3

(68.7–77.9)

Mahoning County, Ohio

719

71.5

2.8

(66.1–76.9)

Montgomery County, Ohio

694

70.5

2.7

(65.3–75.7)

Stark County, Ohio

710

65.1

2.6

(59.9–70.3)

Summit County, Ohio

698

70.3

2.8

(64.8–75.8)

Cleveland County, Oklahoma

425

54.0

3.2

(47.7–60.3)

Oklahoma County, Oklahoma

1,403

58.5

1.8

(55.0–62.0)

Tulsa County, Oklahoma

1,494

59.9

1.7

(56.5–63.3)

Clackamas County, Oregon

438

57.6

3.2

(51.3–63.9)

Lane County, Oregon

498

49.5

3.3

(43.0–56.0)

Multnomah County, Oregon

798

50.1

2.6

(45.1–55.1)

Washington County, Oregon

572

53.4

2.9

(47.7–59.1)

Allegheny County, Pennsylvania

1,372

65.3

1.9

(61.6–69.0)

Lehigh County, Pennsylvania

283

65.7

3.4

(59.1–72.3)

Luzerne County, Pennsylvania

313

65.9

3.8

(58.4–73.4)

Montgomery County, Pennsylvania

346

63.7

3.6

(56.6–70.8)

Northampton County, Pennsylvania

257

63.6

4.9

(53.9–73.3)

Philadelphia County, Pennsylvania

1,397

74.9

1.8

(71.4–78.4)

Westmoreland County, Pennsylvania

336

71.9

3.3

(65.4–78.4)

Bristol County, Rhode Island

276

78.1

3.6

(71.1–85.1)

Kent County, Rhode Island

933

80.2

1.9

(76.5–83.9)

Newport County, Rhode Island

482

76.9

3.0

(71.0–82.8)

Providence County, Rhode Island

4,130

79.3

1.1

(77.1–81.5)

Washington County, Rhode Island

744

79.3

2.5

(74.5–84.1)

Aiken County, South Carolina

466

70.6

2.8

(65.1–76.1)

Beaufort County, South Carolina

675

71.2

2.7

(65.9–76.5)

Berkeley County, South Carolina

352

NA

NA

NA

Charleston County, South Carolina

664

68.3

3.3

(61.9–74.7)

Greenville County, South Carolina

483

65.9

3.6

(58.8–73.0)

Horry County, South Carolina

552

64.2

3.1

(58.2–70.2)


TABLE 15. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

653

70.2

3.5

(63.3–77.1)

Minnehaha County, South Dakota

602

74.8

2.5

(69.9–79.7)

Pennington County, South Dakota

663

66.4

2.5

(61.5–71.3)

Davidson County, Tennessee

414

81.3

3.0

(75.5–87.1)

Hamilton County, Tennessee

386

80.0

3.4

(73.3–86.7)

Knox County, Tennessee

368

80.3

3.1

(74.3–86.3)

Shelby County, Tennessee

393

81.7

3.4

(74.9–88.5)

Sullivan County, Tennessee

459

83.8

2.7

(78.5–89.1)

Bexar County, Texas

970

64.2

2.4

(59.5–68.9)

Dallas County, Texas

388

62.1

3.9

(54.4–69.8)

El Paso County, Texas

861

53.1

2.5

(48.2–58.0)

Fort Bend County, Texas

917

62.8

2.3

(58.2–67.4)

Harris County, Texas

1,453

63.1

1.9

(59.4–66.8)

Hidalgo County, Texas

588

50.9

2.8

(45.3–56.5)

Lubbock County, Texas

753

62.3

2.9

(56.5–68.1)

Midland County, Texas

522

59.9

3.1

(53.8–66.0)

Potter County, Texas

334

61.1

3.8

(53.7–68.5)

Randall County, Texas

455

60.7

3.5

(53.9–67.5)

Smith County, Texas

670

64.5

3.3

(58.0–71.0)

Tarrant County, Texas

603

63.9

3.1

(57.8–70.0)

Travis County, Texas

759

64.3

4.3

(55.8–72.8)

Val Verde County, Texas

554

71.2

3.7

(64.0–78.4)

Webb County, Texas

910

53.9

2.2

(49.5–58.3)

Wichita County, Texas

674

59.7

3.2

(53.3–66.1)

Davis County, Utah

855

61.8

2.3

(57.3–66.3)

Salt Lake County, Utah

3,251

58.5

1.2

(56.2–60.8)

Summit County, Utah

450

58.6

3.3

(52.2–65.0)

Tooele County, Utah

561

58.8

3.1

(52.8–64.8)

Utah County, Utah

1,093

53.9

2.3

(49.3–58.5)

Weber County, Utah

761

62.6

2.5

(57.7–67.5)

Chittenden County, Vermont

1,421

61.3

1.9

(57.6–65.0)

Franklin County, Vermont

485

66.0

2.7

(60.7–71.3)

Orange County, Vermont

357

67.2

3.4

(60.6–73.8)

Rutland County, Vermont

657

65.0

2.5

(60.1–69.9)

Washington County, Vermont

666

62.7

2.6

(57.7–67.7)

Windsor County, Vermont

677

66.1

2.5

(61.2–71.0)

Benton County, Washington

383

64.3

3.1

(58.2–70.4)

Clark County, Washington

1,076

54.0

2.4

(49.3–58.7)

Franklin County, Washington

251

64.7

4.4

(56.0–73.4)

King County, Washington

2,999

61.5

1.3

(59.0–64.0)

Kitsap County, Washington

901

61.1

2.2

(56.7–65.5)

Pierce County, Washington

1,694

63.9

1.7

(60.6–67.2)

Snohomish County, Washington

1,631

60.8

1.7

(57.5–64.1)

Spokane County, Washington

1,196

63.6

2.0

(59.6–67.6)

Thurston County, Washington

763

58.0

2.5

(53.1–62.9)

Yakima County, Washington

731

57.4

2.8

(52.0–62.8)

Kanawha County, West Virginia

481

79.0

2.8

(73.5–84.5)

Milwaukee County, Wisconsin

1,211

72.0

2.9

(66.4–77.6)

Laramie County, Wyoming

906

61.3

2.3

(56.9–65.7)

Natrona County, Wyoming

761

54.1

2.6

(49.1–59.1)

Median

68.0

Range

49.5-85.3

Abbreviations: SE = standard error; CI = confidence interval.

*Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 16. Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

2,693

63.2

1.2

(60.7–65.6)

Alaska

331

63.7

3.8

(56.3–71.0)

Arizona

2,382

66.9

1.4

(64.1–69.6)

Arkansas

1,617

69.6

1.4

(66.9–72.2)

California

5,042

63.0

0.9

(61.2–64.8)

Colorado

3,193

73.4

0.9

(71.5–75.2)

Connecticut

2,213

72.4

1.2

(70.0–74.7)

Delaware

1,425

66.9

1.5

(64.0–69.8)

District of Columbia

1,201

60.9

1.7

(57.6–64.3)

Florida

13,912

65.6

0.8

(64.0–67.2)

Georgia

1,754

61.8

1.4

(59.1–64.5)

Hawaii

2,159

73.2

1.2

(70.8–75.5)

Idaho

2,355

60.7

1.2

(58.4–63.0)

Illinois

1,681

65.5

1.5

(62.6–68.3)

Indiana

3,360

66.4

1.0

(64.4–68.4)

Iowa

2,159

70.4

1.1

(68.3–72.6)

Kansas

2,930

68.6

0.9

(66.8–70.5)

Kentucky

2,586

67.7

1.3

(65.2–70.2)

Louisiana

2,154

64.3

1.2

(61.9–66.6)

Maine

2,612

72.0

1.0

(70.1–73.9)

Maryland

2,496

68.7

1.2

(66.2–71.1)

Massachusetts

4,483

72.4

0.9

(70.5–74.2)

Michigan

3,138

67.5

0.9

(65.6–69.3)

Minnesota

2,393

72.0

1.3

(69.5–74.5)

Mississippi

2,921

66.1

1.1

(64.0–68.2)

Missouri

1,944

67.1

1.4

(64.3–69.8)

Montana

2,417

65.5

1.2

(63.2–67.8)

Nebraska

6,195

71.2

0.9

(69.5–73.0)

Nevada

1,250

59.3

2.0

(55.4–63.2)

New Hampshire

1,942

71.3

1.2

(68.9–73.6)

New Jersey

3,306

65.7

1.1

(63.6–67.9)

New Mexico

2,315

69.3

1.1

(67.1–71.5)

New York

2,913

68.3

1.0

(66.3–70.3)

North Carolina

3,923

69.7

1.0

(67.6–71.7)

North Dakota

1,517

66.4

1.3

(63.9–69.0)

Ohio

3,084

64.8

1.1

(62.7–66.9)

Oklahoma

2,801

70.9

0.9

(69.0–72.7)

Oregon

1,835

65.0

1.3

(62.5–67.4)

Pennsylvania

3,874

68.0

0.9

(66.1–69.8)

Rhode Island

2,139

70.3

1.1

(68.1–72.6)

South Carolina

3,467

67.4

1.1

(65.1–69.6)

South Dakota

2,319

72.0

1.1

(69.8–74.2)

Tennessee

1,987

66.6

1.4

(63.9–69.3)

Texas

6,014

67.2

1.0

(65.3–69.1)

Utah

2,579

68.2

1.1

(66.1–70.3)

Vermont

2,155

71.5

1.0

(69.4–73.5)

Virginia

1,565

68.9

1.5

(66.0–71.8)

Washington

6,633

69.3

0.7

(67.9–70.6)

West Virginia

1,497

66.4

1.3

(63.8–69.0)

Wisconsin

1,356

68.4

1.5

(65.4–71.3)

Wyoming

1,976

65.1

1.2

(62.8–67.4)

Guam

115

NA*

NA

NA

Puerto Rico

1,396

26.9

1.3

(24.3–29.5)

Virgin Islands

442

41.5

2.7

(36.3–46.8)

Median

67.4

Range

26.9-73.4

Abbreviations: SE = standard error; CI = confidence interval.

* Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 17. Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

263

60.6

3.6

(53.5–67.6)

Albuquerque, New Mexico

700

74.0

1.9

(70.2–77.7)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

358

70.9

3.0

(65.0–76.7)

Amarillo, Texas

290

75.5

2.7

(70.2–80.7)

Arcadia, Florida

221

67.4

4.7

(58.1–76.6)

Asheville, North Carolina

239

74.6

3.1

(68.5–80.6)

Atlanta-Sandy Springs-Marietta, Georgia

610

58.3

2.5

(53.4–63.2)

Atlantic City, New Jersey

256

65.1

3.5

(58.2–71.9)

Augusta-Richmond County, Georgia-South Carolina

305

60.6

3.5

(53.7–67.4)

Augusta-Waterville, Maine

199

70.4

3.6

(63.3–77.4)

Austin-Round Rock, Texas

255

71.1

4.9

(61.4–80.7)

Baltimore-Towson, Maryland

869

67.5

1.9

(63.7–71.2)

Bangor, Maine

195

73.0

3.4

(66.3–79.6)

Barre, Vermont

236

77.1

2.9

(71.4–82.7)

Baton Rouge, Louisiana

340

64.1

3.0

(58.2–69.9)

Bethesda-Gaithersburg-Frederick, Maryland*

411

75.9

2.6

(70.8–80.9)

Billings, Montana

206

70.0

3.5

(63.1–76.8)

Birmingham-Hoover, Alabama

398

64.0

3.0

(58.1–69.8)

Bismarck, North Dakota

236

66.2

3.3

(59.7–72.6)

Boise City-Nampa, Idaho

547

61.6

2.3

(57.0–66.1)

Boston-Quincy, Massachusetts*

907

72.3

2.0

(68.3–76.2)

Bremerton-Silverdale, Washington

293

63.8

3.0

(57.9–69.6)

Bridgeport-Stamford-Norwalk, Connecticut

698

70.7

2.4

(65.9–75.4)

Buffalo-Cheektowaga-Tonawanda, New York

225

65.1

3.5

(58.2–71.9)

Burlington-South Burlington, Vermont

518

74.1

2.1

(69.9–78.2)

Cambridge-Newton-Framingham, Massachusetts*

746

76.4

2.1

(72.2–80.5)

Camden, New Jersey*

464

64.9

2.6

(59.8–69.9)

Canton-Massillon, Ohio

234

60.8

3.7

(53.5–68.0)

Cape Coral-Fort Myers, Florida

258

72.7

3.1

(66.6–78.7)

Casper, Wyoming

234

63.4

3.5

(56.5–70.2)

Cedar Rapids, Iowa

193

66.7

4.1

(58.6–74.7)

Charleston, West Virginia

273

67.3

3.2

(61.0–73.5)

Charleston-North Charleston, South Carolina

401

68.9

3.6

(61.8–75.9)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

530

69.2

2.5

(64.3–74.1)

Chattanooga, Tennessee-Georgia

184

69.3

4.3

(60.8–77.7)

Cheyenne, Wyoming

322

71.5

2.8

(66.0–76.9)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

1,550

63.1

1.8

(59.5–66.6)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

593

66.8

2.5

(61.9–71.7)

Cleveland-Elyria-Mentor, Ohio

344

68.4

2.8

(62.9–73.8)

Coeur d´Alene, Idaho

216

60.1

3.7

(52.8–67.3)

Colorado Springs, Colorado

293

69.5

3.0

(63.6–75.3)

Columbia, South Carolina

363

65.9

3.6

(58.8–72.9)

Columbus, Ohio

354

67.7

2.8

(62.2–73.1)

Concord, New Hampshire

210

70.5

3.5

(63.6–77.3)

Dallas-Plano-Irving, Texas*

226

68.3

3.7

(61.0–75.5)

Dayton, Ohio

305

67.4

3.3

(60.9–73.8)

Del Rio, Texas

202

NA

NA

NA

Deltona-Daytona Beach-Ormond Beach, Florida

406

74.0

2.4

(69.2–78.7)

Denver-Aurora, Colorado

1,211

76.4

1.4

(73.6–79.1)

Des Moines-West Des Moines, Iowa

294

71.8

2.8

(66.3–77.2)

Detroit-Livonia-Dearborn, Michigan*

675

63.8

2.3

(59.2–68.3)

Dover, Delaware

386

64.5

2.7

(59.2–69.7)

Durham, North Carolina

276

73.4

3.6

(66.3–80.4)

Edison, New Jersey*

642

70.3

2.1

(66.1–74.4)

El Paso, Texas

258

64.8

3.5

(57.9–71.6)

Eugene-Springfield, Oregon

183

71.1

3.7

(63.8–78.3)

Evansville, Indiana-Kentucky

171

73.2

4.1

(65.1–81.2)

Fargo, North Dakota-Minnesota

248

66.6

5.1

(56.6–76.5)

Farmington, New Mexico

198

66.2

4.1

(58.1–74.2)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

251

68.2

4.0

(60.3–76.0)

Fort Collins-Loveland, Colorado

163

73.6

3.6

(66.5–80.6)

Fort Wayne, Indiana

240

59.0

3.5

(52.1–65.8)

Fort Worth-Arlington, Texas*

250

72.9

3.5

(66.0–79.7)


TABLE 17. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

330

56.9

4.3

(48.4–65.3)

Grand Island, Nebraska

351

72.3

2.7

(67.0–77.5)

Grand Rapids-Wyoming, Michigan

211

71.8

3.3

(65.3–78.2)

Greensboro-High Point, North Carolina

413

70.2

2.7

(64.9–75.4)

Greenville, South Carolina

304

68.5

3.6

(61.4–75.5)

Hagerstown-Martinsburg, Maryland-West Virginia

196

71.6

3.6

(64.5–78.6)

Hartford-West Hartford-East Hartford, Connecticut

661

74.2

1.9

(70.4–77.9)

Hastings, Nebraska

227

75.8

3.0

(69.9–81.6)

Helena, Montana

220

65.7

3.4

(59.0–72.3)

Hickory-Morganton-Lenoir, North Carolina

201

67.5

4.0

(59.6–75.3)

Hilo, Hawaii

446

65.0

2.7

(59.7–70.2)

Hilton Head Island-Beaufort, South Carolina

366

71.4

2.7

(66.1–76.6)

Homosassa Springs, Florida

274

71.6

3.0

(65.7–77.4)

Honolulu, Hawaii

1,038

75.4

1.5

(72.4–78.3)

Houston-Sugar Land-Baytown, Texas

724

64.2

2.3

(59.6–68.7)

Huntington-Ashland, West Virginia-Kentucky-Ohio

218

66.3

3.9

(58.6–73.9)

Idaho Falls, Idaho

206

61.0

3.7

(53.7–68.2)

Indianapolis-Carmel, Indiana

670

68.0

2.4

(63.2–72.7)

Jackson, Mississippi

264

65.7

3.3

(59.2–72.1)

Jacksonville, Florida

873

64.3

2.7

(59.0–69.5)

Kahului-Wailuku, Hawaii

463

64.0

2.9

(58.3–69.6)

Kalispell, Montana

221

63.7

3.6

(56.6–70.7)

Kansas City, Missouri-Kansas

1,095

63.2

2.0

(59.2–67.1)

Kapaa, Hawaii

212

66.8

3.6

(59.7–73.8)

Kennewick-Richland-Pasco, Washington

182

67.9

3.9

(60.2–75.5)

Key West-Marathon, Florida

212

66.5

3.7

(59.2–73.7)

Kingsport-Bristol, Tennessee-Virginia

283

66.4

4.1

(58.3–74.4)

Knoxville, Tennessee

186

72.7

4.1

(64.6–80.7)

Lake City, Florida

179

59.2

4.9

(49.5–68.8)

Lakeland-Winter Haven, Florida

212

62.5

3.8

(55.0–69.9)

Laredo, Texas

205

62.5

4.7

(53.2–71.7)

Las Cruces, New Mexico

200

72.9

3.4

(66.2–79.5)

Las Vegas-Paradise, Nevada

410

59.4

2.8

(53.9–64.8)

Lebanon, New Hampshire-Vermont

516

70.2

2.3

(65.6–74.7)

Lewiston, Idaho-Washington

248

66.3

3.3

(59.8–72.7)

Lewiston-Auburn, Maine

158

73.3

4.1

(65.2–81.3)

Lincoln, Nebraska

391

70.1

2.8

(64.6–75.5)

Little Rock-North Little Rock, Arkansas

312

73.9

2.9

(68.2–79.5)

Los Angeles-Long Beach-Glendale, California*

684

57.9

2.4

(53.1–62.6)

Louisville, Kentucky-Indiana

266

73.0

3.1

(66.9–79.0)

Lubbock, Texas

309

64.0

3.0

(58.1–69.8)

Manchester-Nashua, New Hampshire

413

74.9

2.4

(70.1–79.6)

McAllen-Edinburg-Mission, Texas

188

64.3

4.0

(56.4–72.1)

Memphis, Tennessee-Mississippi-Arkansas

393

65.0

3.4

(58.3–71.6)

Miami-Fort Lauderdale-Miami Beach, Florida

363

51.7

3.4

(45.0–58.3)

Midland, Texas

211

62.2

3.7

(54.9–69.4)

Milwaukee-Waukesha-West Allis, Wisconsin

400

72.3

3.2

(66.0–78.5)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

1,090

72.8

1.8

(69.2–76.3)

Minot, North Dakota

171

60.8

4.2

(52.5–69.0)

Mobile, Alabama

239

68.1

3.3

(61.6–74.5)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

219

65.7

3.6

(58.6–72.7)

Naples-Marco Island, Florida

316

74.1

2.7

(68.8–79.3)

Nashville-Davidson-Murfreesboro, Tennessee

255

69.3

3.5

(62.4–76.1)

Nassau-Suffolk, New York*

374

72.2

2.6

(67.1–77.2)

Newark-Union, New Jersey-Pennsylvania*

794

65.9

2.2

(61.5–70.2)

New Haven-Milford, Connecticut

576

73.8

2.3

(69.2–78.3)

New Orleans-Metairie-Kenner, Louisiana

459

64.3

2.6

(59.2–69.3)

New York-White Plains-Wayne, New York-New Jersey*

1,700

61.5

1.5

(58.5–64.4)

Norfolk, Nebraska

249

69.9

3.1

(63.8–75.9)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

221

596

65.7

68.7

3.7

2.2

(58.4–72.9)

(64.3–73.0)

Ocala, Florida

315

67.2

3.0

(61.3–73.0)

Ocean City, New Jersey

196

67.0

3.6

(59.9–74.0)


TABLE 17. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

448

71.4

2.4

(66.6–76.1)

Oklahoma City, Oklahoma

785

67.8

1.9

(64.0–71.5)

Olympia, Washington

220

69.1

3.6

(62.0–76.1)

Omaha-Council Bluffs, Nebraska-Iowa

652

75.1

2.1

(70.9–79.2)

Orlando-Kissimmee, Florida

886

61.4

2.0

(57.4–65.3)

Palm Bay-Melbourne-Titusville, Florida

235

71.0

3.2

(64.7–77.2)

Panama City-Lynn Haven, Florida

181

69.6

4.3

(61.1–78.0)

Peabody, Massachusetts

589

71.7

2.9

(66.0–77.3)

Pensacola-Ferry Pass-Brent, Florida

331

63.2

3.1

(57.1–69.2)

Philadelphia, Pennsylvania*

761

66.2

2.5

(61.3–71.1)

Phoenix-Mesa-Scottsdale, Arizona

669

68.8

2.2

(64.4–73.1)

Pittsburgh, Pennsylvania

879

69.3

1.7

(65.9–72.6)

Portland-South Portland-Biddeford, Maine

841

73.3

1.7

(69.9–76.6)

Portland-Vancouver-Beaverton, Oregon-Washington

1,098

66.8

1.7

(63.4–70.1)

Port St. Lucie-Fort Pierce, Florida

489

67.7

2.4

(62.9–72.4)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

2,956

69.2

1.1

(67.0–71.3)

Provo-Orem, Utah

271

64.4

3.2

(58.1–70.6)

Raleigh-Cary, North Carolina

246

70.9

3.7

(63.6–78.1)

Rapid City, South Dakota

286

73.6

2.8

(68.1–79.0)

Reno-Sparks, Nevada

406

60.0

2.7

(54.7–65.2)

Richmond, Virginia

223

67.4

3.9

(59.7–75.0)

Riverside-San Bernardino-Ontario, California

508

59.2

2.6

(54.1–64.2)

Rochester, New York

220

76.8

3.2

(70.5–83.0)

Rockingham County-Strafford County, New Hampshire*

454

69.4

2.4

(64.6–74.1)

Rutland, Vermont

232

63.2

3.5

(56.3–70.0)

Sacramento-Arden-Arcade-Roseville, California

413

73.1

2.6

(68.0–78.1)

St. Louis, Missouri-Illinois

550

72.8

2.6

(67.7–77.8)

Salt Lake City, Utah

1,025

70.2

1.7

(66.8–73.5)

San Antonio, Texas

414

67.6

2.8

(62.1–73.0)

San Diego-Carlsbad-San Marcos, California

494

62.2

2.7

(56.9–67.4)

San Francisco-Oakland-Fremont, California

699

63.1

2.6

(58.0–68.1)

San Jose-Sunnyvale-Santa Clara, California

258

69.0

4.4

(60.3–77.6)

Santa Ana-Anaheim-Irvine, California*

406

68.2

3.0

(62.3–74.0)

Santa Fe, New Mexico

196

67.2

3.9

(59.5–74.8)

Scottsbluff, Nebraska

335

66.8

3.2

(60.5–73.0)

Scranton-Wilkes-Barre, Pennsylvania

221

64.8

3.5

(57.9–71.6)

Seaford, Delaware

524

68.4

2.4

(63.6–73.1)

Seattle-Bellevue-Everett, Washington*

1,378

70.8

1.5

(67.8–73.7)

Sebring, Florida

294

68.7

3.2

(62.4–74.9)

Shreveport-Bossier City, Louisiana

231

64.2

3.6

(57.1–71.2)

Sioux City, Iowa-Nebraska-South Dakota

403

66.3

5.0

(56.5–76.1)

Sioux Falls, South Dakota

275

73.2

3.0

(67.3–79.0)

Spokane, Washington

399

66.5

2.7

(61.2–71.7)

Springfield, Massachusetts

583

70.3

2.6

(65.2–75.3)

Tacoma, Washington*

564

72.6

2.1

(68.4–76.7)

Tallahassee, Florida

628

65.8

3.2

(59.5–72.0)

Tampa-St. Petersburg-Clearwater, Florida

869

63.4

2.1

(59.2–67.5)

Toledo, Ohio

254

61.0

3.8

(53.5–68.4)

Topeka, Kansas

274

74.8

2.8

(69.3–80.2)

Trenton-Ewing, New Jersey

128

67.4

4.9

(57.7–77.0)

Tucson, Arizona

313

69.1

3.0

(63.2–74.9)

Tulsa, Oklahoma

737

73.3

1.8

(69.7–76.8)

Tuscaloosa, Alabama

158

59.5

4.5

(50.6–68.3)

Twin Falls, Idaho

206

64.0

3.7

(56.7–71.2)

Tyler, Texas

258

65.0

3.3

(58.5–71.4)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

299

68.9

3.3

(62.4–75.3)

Warren-Troy-Farmington Hills, Michigan*

643

67.1

2.1

(62.9–71.2)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia*

1,760

68.3

2.2

(63.9–72.6)

Wauchula, Florida

211

66.8

3.6

(59.7–73.8)

West Palm Beach-Boca Raton-Boynton Beach, Florida*

268

73.7

3.0

(67.8–79.5)

Wichita, Kansas

622

70.4

2.0

(66.4–74.3)

Wichita Falls, Texas

347

71.2

3.3

(64.7–77.6)

Wilmington, Delaware-Maryland-New Jersey*

645

64.0

2.2

(59.6–68.3)


TABLE 17. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

553

71.0

2.7

(65.7–76.2)

Yakima, Washington

256

68.5

3.1

(62.4–74.5)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

380

58.9

3.8

(51.4–66.3)

Median

67.9

Range

51.7-77.1

Abbreviations: SE = standard error; CI = confidence interval.

* Metropolitan division.

Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 18. Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

193

68.0

3.8

(60.5–75.4)

Mobile County, Alabama

239

68.1

3.3

(61.6–74.5)

Tuscaloosa County, Alabama

130

64.1

4.9

(54.4–73.7)

Maricopa County, Arizona

483

68.9

2.4

(64.1–73.6)

Pima County, Arizona

313

69.1

3.0

(63.2–74.9)

Pinal County, Arizona

186

68.7

4.1

(60.6–76.7)

Benton County, Arkansas

142

72.7

4.8

(63.2–82.1)

Pulaski County, Arkansas

213

71.2

3.9

(63.5–78.8)

Washington County, Arkansas

96

NA*

NA

NA

Alameda County, California

195

57.6

5.0

(47.8–67.4)

Contra Costa County, California

215

71.1

3.5

(64.2–77.9)

Los Angeles County, California

684

57.9

2.4

(53.1–62.6)

Orange County, California

406

68.2

3.0

(62.3–74.0)

Placer County, California

95

69.0

5.1

(59.0–78.9)

Riverside County, California

280

58.6

3.5

(51.7–65.4)

Sacramento County, California

230

74.3

3.4

(67.6–80.9)

San Bernardino County, California

228

59.8

4.0

(51.9–67.6)

San Diego County, California

494

62.2

2.7

(56.9–67.4)

San Francisco County, California

108

NA

NA

NA

San Mateo County, California

104

NA

NA

NA

Santa Clara County, California

249

70.3

4.4

(61.6–78.9)

Adams County, Colorado

181

78.5

3.3

(72.0–84.9)

Arapahoe County, Colorado

222

76.7

3.2

(70.4–82.9)

Denver County, Colorado

268

69.9

3.1

(63.8–75.9)

Douglas County, Colorado

101

87.8

3.5

(80.9–94.6)

El Paso County, Colorado

258

70.3

3.2

(64.0–76.5)

Jefferson County, Colorado

331

77.3

2.5

(72.4–82.2)

Larimer County, Colorado

163

73.6

3.6

(66.5–80.6)

Fairfield County, Connecticut

698

70.7

2.4

(65.9–75.4)

Hartford County, Connecticut

492

74.9

2.2

(70.5–79.2)

Middlesex County, Connecticut

95

NA

NA

NA

New Haven County, Connecticut

576

73.8

2.3

(69.2–78.3)

Tolland County, Connecticut

74

NA

NA

NA

Kent County, Delaware

386

64.5

2.7

(59.2–69.7)

New Castle County, Delaware

515

66.1

2.4

(61.3–70.8)

Sussex County, Delaware

524

68.4

2.4

(63.6–73.1)

District of Columbia, District of Columbia

1,201

60.8

1.7

(57.4–64.1)

Alachua County, Florida

169

56.6

4.6

(47.5–65.6)

Baker County, Florida

151

NA

NA

NA

Bay County, Florida

181

69.6

4.3

(61.1–78.0)

Brevard County, Florida

235

71.0

3.2

(64.7–77.2)

Broward County, Florida

190

57.4

4.4

(48.7–66.0)

Citrus County, Florida

274

71.6

3.0

(65.7–77.4)

Clay County, Florida

151

68.9

4.5

(60.0–77.7)

Collier County, Florida

316

74.1

2.7

(68.8–79.3)

Columbia County, Florida

179

59.2

4.9

(49.5–68.8)

DeSoto County, Florida

221

67.4

4.7

(58.1–76.6)

Duval County, Florida

164

60.4

4.4

(51.7–69.0)

Escambia County, Florida

181

62.2

4.1

(54.1–70.2)

Gadsden County, Florida

165

55.0

4.9

(45.3–64.6)

Gilchrist County, Florida

161

NA

NA

NA

Hardee County, Florida

211

66.8

3.6

(59.7–73.8)

Hernando County, Florida

221

60.4

3.7

(53.1–67.6)

Highlands County, Florida

294

68.7

3.2

(62.4–74.9)

Hillsborough County, Florida

169

64.3

4.1

(56.2–72.3)

Jefferson County, Florida

165

NA

NA

NA

Lake County, Florida

306

70.4

2.8

(64.9–75.8)

Lee County, Florida

258

72.7

3.1

(66.6–78.7)

Leon County, Florida

146

72.6

4.2

(64.3–80.8)

Manatee County, Florida

244

67.0

3.4

(60.3–73.6)

Marion County, Florida

315

67.2

3.0

(61.3–73.0)

Martin County, Florida

269

70.1

3.1

(64.0–76.1)

Miami-Dade County, Florida

173

49.3

4.7

(40.0–58.5)


TABLE 18. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Samplesize

%

SE

(95% CI)

Monroe County, Florida

212

66.5

3.7

(59.2–73.7)

Nassau County, Florida

198

66.5

4.6

(57.4–75.5)

Orange County, Florida

252

57.7

3.8

(50.2–65.1)

Osceola County, Florida

184

54.1

4.3

(45.6–62.5)

Palm Beach County, Florida

268

73.7

3.0

(67.8–79.5)

Pasco County, Florida

254

64.3

3.3

(57.8–70.7)

Pinellas County, Florida

225

66.5

3.4

(59.8–73.1)

Polk County, Florida

212

62.5

3.8

(55.0–69.9)

St. Johns County, Florida

209

70.1

3.5

(63.2–76.9)

St. Lucie County, Florida

220

66.1

3.5

(59.2–72.9)

Santa Rosa County, Florida

150

66.6

4.2

(58.3–74.8)

Sarasota County, Florida

352

69.4

2.8

(63.9–74.8)

Seminole County, Florida

144

61.6

5.0

(51.8–71.4)

Volusia County, Florida

406

74.0

2.4

(69.2–78.7)

Wakulla County, Florida

152

NA

NA

NA

Cobb County, Georgia

71

NA

NA

NA

DeKalb County, Georgia

88

NA

NA

NA

Fulton County, Georgia

82

NA

NA

NA

Gwinnett County, Georgia

51

NA

NA

NA

Hawaii County, Hawaii

446

65.0

2.7

(59.7–70.2)

Honolulu County, Hawaii

1,038

75.4

1.5

(72.4–78.3)

Kauai County, Hawaii

212

66.8

3.6

(59.7–73.8)

Maui County, Hawaii

463

64.0

2.9

(58.3–69.6)

Ada County, Idaho

274

65.2

3.1

(59.1–71.2)

Bonneville County, Idaho

159

62.8

4.3

(54.3–71.2)

Canyon County, Idaho

207

59.4

3.8

(51.9–66.8)

Kootenai County, Idaho

216

60.1

3.7

(52.8–67.3)

Nez Perce County, Idaho

147

59.1

4.5

(50.2–67.9)

Twin Falls County, Idaho

171

60.2

4.1

(52.1–68.2)

Cook County, Illinois

922

62.9

2.1

(58.7–67.0)

DuPage County, Illinois

72

NA

NA

NA

Allen County, Indiana

195

60.9

3.9

(53.2–68.5)

Lake County, Indiana

313

61.4

4.5

(52.5–70.2)

Marion County, Indiana

457

69.1

3.1

(63.0–75.1)

Linn County, Iowa

174

68.5

3.9

(60.8–76.1)

Polk County, Iowa

218

72.7

3.3

(66.2–79.1)

Johnson County, Kansas

398

76.4

2.3

(71.8–80.9)

Sedgwick County, Kansas

467

69.3

2.3

(64.7–73.8)

Shawnee County, Kansas

213

76.6

3.0

(70.7–82.4)

Wyandotte County, Kansas

217

56.6

3.9

(48.9–64.2)

Jefferson County, Kentucky

131

75.4

4.3

(66.9–83.8)

Caddo Parish, Louisiana

154

66.5

4.4

(57.8–75.1)

East Baton Rouge Parish, Louisiana

212

64.5

3.8

(57.0–71.9)

Jefferson Parish, Louisiana

197

65.2

4.0

(57.3–73.0)

Orleans Parish, Louisiana

122

61.5

5.0

(51.7–71.3)

St. Tammany Parish, Louisiana

93

NA

NA

NA

Androscoggin County, Maine

158

73.3

4.1

(65.2–81.3)

Cumberland County, Maine

444

75.5

2.3

(70.9–80.0)

Kennebec County, Maine

199

70.4

3.6

(63.3–77.4)

Penobscot County, Maine

195

73.0

3.4

(66.3–79.6)

Sagadahoc County, Maine

90

76.3

5.1

(66.3–86.2)

York County, Maine

307

69.7

2.9

(64.0–75.3)

Anne Arundel County, Maryland

148

67.5

4.3

(59.0–75.9)

Baltimore County, Maryland

297

69.0

3.0

(63.1–74.8)

Cecil County, Maryland

71

NA

NA

NA

Charles County, Maryland

68

NA

NA

NA

Frederick County, Maryland

134

71.0

4.4

(62.3–79.6)

Harford County, Maryland

66

NA

NA

NA

Howard County, Maryland

70

NA

NA

NA

Montgomery County, Maryland

277

76.9

3.0

(71.0–82.7)

Prince George´s County, Maryland

186

62.9

4.1

(54.8–70.9)

Queen Anne´s County, Maryland

84

NA

NA

NA

Washington County, Maryland

125

75.3

4.2

(67.0–83.5)


TABLE 18. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

141

61.8

4.9

(52.1–71.4)

Bristol County, Massachusetts

817

66.5

3.1

(60.4–72.5)

Essex County, Massachusetts

589

71.9

2.9

(66.2–77.5)

Hampden County, Massachusetts

463

75.7

2.9

(70.0–81.3)

Hampshire County, Massachusetts

73

NA

NA

NA

Middlesex County, Massachusetts

746

75.6

2.1

(71.4–79.7)

Norfolk County, Massachusetts

255

75.7

3.0

(69.8–81.5)

Plymouth County, Massachusetts

207

73.8

3.4

(67.1–80.4)

Suffolk County, Massachusetts

445

66.8

3.1

(60.7–72.8)

Worcester County, Massachusetts

553

71.0

2.7

(65.7–76.2)

Kent County, Michigan

148

71.8

3.9

(64.1–79.4)

Macomb County, Michigan

196

69.2

3.6

(62.1–76.2)

Oakland County, Michigan

333

67.3

3.0

(61.4–73.1)

Wayne County, Michigan

675

63.8

2.3

(59.2–68.3)

Anoka County, Minnesota

76

NA

NA

NA

Dakota County, Minnesota

107

75.1

5.0

(65.3–84.9)

Hennepin County, Minnesota

472

76.3

2.9

(70.6–81.9)

Ramsey County, Minnesota

230

74.1

4.2

(65.8–82.3)

Washington County, Minnesota

60

NA

NA

NA

DeSoto County, Mississippi

146

73.3

4.1

(65.2–81.3)

Hinds County, Mississippi

116

72.0

4.7

(62.7–81.2)

Jackson County, Missouri

182

57.7

4.1

(49.6–65.7)

St. Louis County, Missouri

208

74.3

4.0

(66.4–82.1)

St. Louis city, Missouri

194

NA

NA

NA

Flathead County, Montana

221

63.7

3.6

(56.6–70.7)

Lewis and Clark County, Montana

184

65.8

3.6

(58.7–72.8)

Yellowstone County, Montana

191

69.1

3.7

(61.8–76.3)

Adams County, Nebraska

180

76.9

3.3

(70.4–83.3)

Dakota County, Nebraska

253

66.6

3.2

(60.3–72.8)

Douglas County, Nebraska

273

75.7

2.9

(70.0–81.3)

Hall County, Nebraska

235

75.7

3.1

(69.6–81.7)

Lancaster County, Nebraska

287

70.5

3.0

(64.6–76.3)

Lincoln County, Nebraska

211

67.3

3.8

(59.8–74.7)

Madison County, Nebraska

176

71.4

3.7

(64.1–78.6)

Sarpy County, Nebraska

150

73.2

4.5

(64.3–82.0)

Scotts Bluff County, Nebraska

324

68.2

3.3

(61.7–74.6)

Seward County, Nebraska

104

NA

NA

NA

Clark County, Nevada

410

59.4

2.8

(53.9–64.8)

Washoe County, Nevada

398

60.0

2.7

(54.7–65.2)

Grafton County, New Hampshire

175

69.7

3.9

(62.0–77.3)

Hillsborough County, New Hampshire

413

74.9

2.4

(70.1–79.6)

Merrimack County, New Hampshire

210

70.5

3.5

(63.6–77.3)

Rockingham County, New Hampshire

276

67.6

3.0

(61.7–73.4)

Strafford County, New Hampshire

178

73.4

3.7

(66.1–80.6)

Atlantic County, New Jersey

256

65.1

3.5

(58.2–71.9)

Bergen County, New Jersey

174

58.3

4.5

(49.4–67.1)

Burlington County, New Jersey

170

65.7

4.2

(57.4–73.9)

Camden County, New Jersey

151

63.5

4.4

(54.8–72.1)

Cape May County, New Jersey

196

67.0

3.6

(59.9–74.0)

Essex County, New Jersey

251

62.5

3.7

(55.2–69.7)

Gloucester County, New Jersey

143

66.0

4.8

(56.5–75.4)

Hudson County, New Jersey

232

50.5

3.9

(42.8–58.1)

Hunterdon County, New Jersey

115

NA

NA

NA

Mercer County, New Jersey

128

67.4

4.9

(57.7–77.0)

Middlesex County, New Jersey

156

69.2

4.3

(60.7–77.6)

Monmouth County, New Jersey

146

68.4

4.5

(59.5–77.2)

Morris County, New Jersey

168

69.0

4.2

(60.7–77.2)

Ocean County, New Jersey

207

73.1

3.5

(66.2–79.9)

Passaic County, New Jersey

142

72.5

4.2

(64.2–80.7)

Somerset County, New Jersey

133

70.9

4.5

(62.0–79.7)

Sussex County, New Jersey

113

NA

NA

NA

Union County, New Jersey

127

70.5

4.7

(61.2–79.7)

Warren County, New Jersey

150

68.3

4.4

(59.6–76.9)


TABLE 18. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

412

75.0

2.3

(70.4–79.5)

Dona Ana County, New Mexico

200

72.9

3.4

(66.2–79.5)

Sandoval County, New Mexico

158

78.5

3.4

(71.8–85.1)

San Juan County, New Mexico

198

66.2

4.1

(58.1–74.2)

Santa Fe County, New Mexico

196

67.2

3.9

(59.5–74.8)

Valencia County, New Mexico

112

NA ‡

NA ‡

NA

Bronx County, New York

116

NA ‡

NA ‡

NA

Erie County, New York

176

68.2

3.9

(60.5–75.8)

Kings County, New York

224

64.0

3.8

(56.5–71.4)

Monroe County, New York

150

79.7

3.7

(72.4–86.9)

Nassau County, New York

171

72.7

3.8

(65.2–80.1)

New York County, New York

332

62.8

3.8

(55.3–70.2)

Queens County, New York

239

62.3

3.9

(54.6–69.9)

Suffolk County, New York

203

72.1

3.5

(65.2–78.9)

Westchester County, New York

117

68.4

4.9

(58.7–78.0)

Buncombe County, North Carolina

104

72.6

4.9

(62.9–82.2)

Cabarrus County, North Carolina

106

69.6

4.9

(59.9–79.2)

Catawba County, North Carolina

101

69.6

5.1

(59.6–79.5)

Durham County, North Carolina

168

72.5

3.8

(65.0–79.9)

Gaston County, North Carolina

88

NA ‡

NA ‡

NA

Guilford County, North Carolina

231

72.3

3.2

(66.0–78.5)

Johnston County, North Carolina

71

NA ‡

NA ‡

NA

Mecklenburg County, North Carolina

179

61.5

4.3

(53.0–69.9)

Orange County, North Carolina

74

NA ‡

NA ‡

NA

Randolph County, North Carolina

152

69.1

4.5

(60.2–77.9)

Union County, North Carolina

100

NA ‡

NA ‡

NA

Wake County, North Carolina

164

72.1

3.9

(64.4–79.7)

Burleigh County, North Dakota

169

66.5

3.8

(59.0–73.9)

Cass County, North Dakota

232

70.0

3.2

(63.7–76.2)

Ward County, North Dakota

139

62.9

4.5

(54.0–71.7)

Cuyahoga County, Ohio

221

66.5

3.5

(59.6–73.3)

Franklin County, Ohio

174

69.3

3.8

(61.8–76.7)

Hamilton County, Ohio

228

67.4

3.4

(60.7–74.0)

Lucas County, Ohio

212

55.3

3.8

(47.8–62.7)

Mahoning County, Ohio

254

54.2

3.7

(46.9–61.4)

Montgomery County, Ohio

255

63.5

3.4

(56.8–70.1)

Stark County, Ohio

228

61.6

3.6

(54.5–68.6)

Summit County, Ohio

230

65.6

3.5

(58.7–72.4)

Cleveland County, Oklahoma

126

65.7

5.1

(55.7–75.6)

Oklahoma County, Oklahoma

469

67.7

2.4

(62.9–72.4)

Tulsa County, Oklahoma

507

70.3

2.3

(65.7–74.8)

Clackamas County, Oregon

146

58.6

4.5

(49.7–67.4)

Lane County, Oregon

183

71.1

3.7

(63.8–78.3)

Multnomah County, Oregon

263

68.4

3.2

(62.1–74.6)

Washington County, Oregon

181

70.1

3.6

(63.0–77.1)

Allegheny County, Pennsylvania

503

69.9

2.3

(65.3–74.4)

Lehigh County, Pennsylvania

82

NA

NA

NA

Luzerne County, Pennsylvania

126

65.7

4.8

(56.2–75.1)

Montgomery County, Pennsylvania

112

73.0

4.8

(63.5–82.4)

Northampton County, Pennsylvania

99

NA

NA

NA

Philadelphia County, Pennsylvania

456

64.9

2.6

(59.8–69.9)

Westmoreland County, Pennsylvania

127

73.4

4.4

(64.7–82.0)

Bristol County, Rhode Island

87

NA

NA

NA

Kent County, Rhode Island

307

76.5

2.6

(71.4–81.5)

Newport County, Rhode Island

172

72.5

3.6

(65.4–79.5)

Providence County, Rhode Island

1,305

69.6

1.5

(66.6–72.5)

Washington County, Rhode Island

268

63.2

3.4

(56.5–69.8)

Aiken County, South Carolina

183

65.5

3.9

(57.8–73.1)

Beaufort County, South Carolina

323

72.5

2.8

(67.0–77.9)

Berkeley County, South Carolina

114

NA

NA

NA

Charleston County, South Carolina

248

75.2

3.9

(67.5–82.8)

Greenville County, South Carolina

197

69.5

4.2

(61.2–77.7)

Horry County, South Carolina

219

65.7

3.6

(58.6–72.7)


TABLE 18. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

212

68.6

5.0

(58.8–78.4)

Minnehaha County, South Dakota

198

76.5

3.4

(69.8–83.1)

Pennington County, South Dakota

220

74.9

3.2

(68.6–81.1)

Davidson County, Tennessee

140

63.9

5.1

(53.9–73.8)

Hamilton County, Tennessee

135

66.6

4.5

(57.7–75.4)

Knox County, Tennessee

126

68.6

4.8

(59.1–78.0)

Shelby County, Tennessee

129

65.0

4.7

(55.7–74.2)

Sullivan County, Tennessee

210

67.5

3.7

(60.2–74.7)

Bexar County, Texas

357

68.7

2.8

(63.2–74.1)

Dallas County, Texas

145

65.1

4.5

(56.2–73.9)

El Paso County, Texas

258

64.8

3.5

(57.9–71.6)

Fort Bend County, Texas

211

60.6

3.9

(52.9–68.2)

Harris County, Texas

394

65.3

2.9

(59.6–70.9)

Hidalgo County, Texas

188

64.3

4.0

(56.4–72.1)

Lubbock County, Texas

299

64.5

3.0

(58.6–70.3)

Midland County, Texas

211

62.2

3.7

(54.9–69.4)

Potter County, Texas

106

74.8

4.7

(65.5–84.0)

Randall County, Texas

176

75.9

3.5

(69.0–82.7)

Smith County, Texas

258

65.0

3.3

(58.5–71.4)

Tarrant County, Texas

198

74.0

3.5

(67.1–80.8)

Travis County, Texas

185

NA

NA

NA

Val Verde County, Texas

202

63.9

3.6

(56.8–70.9)

Webb County, Texas

205

62.5

4.7

(53.2–71.7)

Wichita County, Texas

291

70.1

2.9

(64.4–75.7)

Davis County, Utah

207

75.1

3.3

(68.6–81.5)

Salt Lake County, Utah

811

70.3

1.8

(66.7–73.8)

Summit County, Utah

91

76.5

4.7

(67.2–85.7)

Tooele County, Utah

123

NA

NA

NA

Utah County, Utah

254

64.6

3.3

(58.1–71.0)

Weber County, Utah

226

67.6

3.4

(60.9–74.2)

Chittenden County, Vermont

375

76.7

2.3

(72.1–81.2)

Franklin County, Vermont

119

69.6

4.4

(60.9–78.2)

Orange County, Vermont

95

73.1

4.9

(63.4–82.7)

Rutland County, Vermont

232

63.2

3.5

(56.3–70.0)

Washington County, Vermont

236

77.1

2.9

(71.4–82.7)

Windsor County, Vermont

246

69.3

3.2

(63.0–75.5)

Benton County, Washington

126

67.1

4.6

(58.0–76.1)

Clark County, Washington

333

68.9

2.7

(63.6–74.1)

Franklin County, Washington

56

NA

NA

NA

King County, Washington

928

72.1

1.6

(68.9–75.2)

Kitsap County, Washington

293

63.8

3.0

(57.9–69.6)

Pierce County, Washington

564

72.8

2.1

(68.6–76.9)

Snohomish County, Washington

450

68.2

2.4

(63.4–72.9)

Spokane County, Washington

399

66.5

2.7

(61.2–71.7)

Thurston County, Washington

220

69.1

3.6

(62.0–76.1)

Yakima County, Washington

256

68.5

3.1

(62.4–74.5)

Kanawha County, West Virginia

187

68.8

3.7

(61.5–76.0)

Milwaukee County, Wisconsin

309

69.6

4.0

(61.7–77.4)

Laramie County, Wyoming

322

71.5

2.8

(66.0–76.9)

Natrona County, Wyoming

234

63.4

3.5

(56.5–70.2)

Median

68.6

Range

49.3-87.8

Abbreviations: SE = standard error; CI = confidence interval.

* Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 19. Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

2,636

65.6

1.2

(63.1–68.0)

Alaska

317

66.5

3.9

(58.8–74.2)

Arizona

2,301

71.7

1.4

(69.0–74.4)

Arkansas

1,573

67.3

1.4

(64.6–70.1)

California

4,904

62.6

0.9

(60.8–64.4)

Colorado

3,084

73.3

1.0

(71.4–75.2)

Connecticut

2,102

69.2

1.3

(66.8–71.7)

Delaware

1,393

70.0

1.5

(67.1–72.9)

District of Columbia

1,139

64.7

1.8

(61.3–68.2)

Florida

13,452

69.9

0.8

(68.4–71.5)

Georgia

1,705

64.4

1.4

(61.6–67.1)

Hawaii

2,022

66.8

1.4

(64.1–69.5)

Idaho

2,286

66.2

1.1

(63.9–68.4)

Illinois

1,652

61.9

1.5

(58.9–64.9)

Indiana

3,256

68.8

1.0

(66.9–70.8)

Iowa

2,099

70.3

1.1

(68.1–72.6)

Kansas

2,855

68.5

0.9

(66.6–70.3)

Kentucky

2,537

64.6

1.4

(61.8–67.3)

Louisiana

2,110

67.4

1.2

(65.1–69.7)

Maine

2,486

71.8

1.0

(69.8–73.7)

Maryland

2,422

66.5

1.3

(64.0–69.0)

Massachusetts

4,218

71.2

1.0

(69.3–73.1)

Michigan

3,058

67.8

0.9

(65.9–69.6)

Minnesota

2,327

70.4

1.3

(67.8–72.9)

Mississippi

2,851

67.6

1.1

(65.5–69.8)

Missouri

1,883

71.2

1.4

(68.5–73.9)

Montana

2,365

71.8

1.1

(69.5–74.0)

Nebraska

6,036

70.9

0.9

(69.0–72.7)

Nevada

1,210

66.6

2.0

(62.6–70.5)

New Hampshire

1,887

71.2

1.2

(68.9–73.6)

New Jersey

3,218

64.3

1.1

(62.1–66.5)

New Mexico

2,225

68.6

1.2

(66.3–70.9)

New York

2,773

66.1

1.1

(64.0–68.2)

North Carolina

3,809

71.2

1.1

(69.1–73.3)

North Dakota

1,462

70.9

1.3

(68.4–73.4)

Ohio

2,993

68.5

1.0

(66.4–70.5)

Oklahoma

2,727

72.6

0.9

(70.8–74.5)

Oregon

1,766

74.0

1.1

(71.7–76.2)

Pennsylvania

3,742

70.6

0.9

(68.8–72.4)

Rhode Island

2,053

71.7

1.1

(69.5–74.0)

South Carolina

3,343

70.0

1.1

(67.8–72.2)

South Dakota

2,262

68.0

1.2

(65.7–70.4)

Tennessee

1,958

66.1

1.4

(63.3–68.8)

Texas

5,815

68.5

1.0

(66.5–70.5)

Utah

2,500

68.3

1.1

(66.2–70.5)

Vermont

2,061

72.8

1.0

(70.8–74.9)

Virginia

1,533

72.1

1.5

(69.2–75.0)

Washington

6,428

72.8

0.7

(71.5–74.1)

West Virginia

1,486

62.4

1.4

(59.6–65.1)

Wisconsin

1,333

73.1

1.5

(70.3–76.0)

Wyoming

1,917

69.4

1.2

(67.1–71.7)

Guam

108

NA*

NA

NA

Puerto Rico

1,282

24.7

1.3

(22.2–27.3)

Virgin Islands

413

37.5

2.7

(32.2–42.8)

Median

68.6

Range

24.7-74.0

Abbreviations: SE = standard error; CI = confidence interval.

* Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 20. Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010

MMSA(s)

Sample Size

%

SE

(95% CI)

Akron, Ohio

254

68.0

3.5

(61.1–74.8)

Albuquerque, New Mexico

671

72.8

2.1

(68.6–76.9)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

346

70.6

3.1

(64.5–76.6)

Amarillo, Texas

289

76.7

2.7

(71.4–81.9)

Arcadia, Florida

217

76.1

3.4

(69.4–82.7)

Asheville, North Carolina

233

74.5

3.2

(68.2–80.7)

Atlanta-Sandy Springs-Marietta, Georgia

595

60.4

2.6

(55.3–65.4)

Atlantic City, New Jersey

250

59.3

3.8

(51.8–66.7)

Augusta-Richmond County, Georgia-South Carolina

297

68.0

3.2

(61.7–74.2)

Augusta-Waterville, Maine

190

71.8

3.5

(64.9–78.6)

Austin-Round Rock, Texas

249

NA*

NA

NA

Baltimore-Towson, Maryland

845

65.8

1.9

(62.0–69.5)

Bangor, Maine

191

77.9

3.2

(71.6–84.1)

Barre, Vermont

226

71.9

3.4

(65.2–78.5)

Baton Rouge, Louisiana

334

68.6

3.0

(62.7–74.4)

Bethesda-Gaithersburg-Frederick, Maryland

396

71.2

3.0

(65.3–77.0)

Billings, Montana

205

75.8

3.4

(69.1–82.4)

Birmingham-Hoover, Alabama

400

65.3

3.1

(59.2–71.3)

Bismarck, North Dakota

228

71.5

3.1

(65.4–77.5)

Boise City-Nampa, Idaho

536

70.2

2.2

(65.8–74.5)

Boston-Quincy, Massachusetts

846

65.8

2.1

(61.6–69.9)

Bremerton-Silverdale, Washington

287

67.2

3.0

(61.3–73.0)

Bridgeport-Stamford-Norwalk, Connecticut

665

66.2

2.6

(61.1–71.2)

Buffalo-Cheektowaga-Tonawanda, New York

217

72.7

3.4

(66.0–79.3)

Burlington-South Burlington, Vermont

490

73.2

2.2

(68.8–77.5)

Cambridge-Newton-Framingham, Massachusetts

695

75.2

2.2

(70.8–79.5)

Camden, New Jersey

458

64.1

2.7

(58.8–69.3)

Canton-Massillon, Ohio

230

66.9

3.7

(59.6–74.1)

Cape Coral-Fort Myers, Florida

251

75.0

3.1

(68.9–81.0)

Casper, Wyoming

225

73.5

3.3

(67.0–79.9)

Cedar Rapids, Iowa

185

67.8

4.1

(59.7–75.8)

Charleston, West Virginia

275

62.7

3.3

(56.2–69.1)

Charleston-North Charleston, South Carolina

382

66.4

3.6

(59.3–73.4)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

513

69.8

2.6

(64.7–74.8)

Chattanooga, Tennessee-Georgia

177

60.1

4.9

(50.4–69.7)

Cheyenne, Wyoming

312

71.3

2.9

(65.6–76.9)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

1,510

61.3

1.8

(57.7–64.8)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

572

70.8

2.4

(66.0–75.5)

Cleveland-Elyria-Mentor, Ohio

334

71.4

2.7

(66.1–76.6)

Coeur d´Alene, Idaho

209

62.2

3.7

(54.9–69.4)

Colorado Springs, Colorado

286

72.3

2.8

(66.8–77.7)

Columbia, South Carolina

346

74.2

3.3

(67.7–80.6)

Columbus, Ohio

345

73.2

2.6

(68.1–78.2)

Concord, New Hampshire

206

69.3

3.7

(62.0–76.5)

Dallas-Plano-Irving, Texas

221

70.8

3.7

(63.5–78.0)

Dayton, Ohio

293

74.1

3.1

(68.0–80.1)

Del Rio, Texas

191

NA

NA

NA

Deltona-Daytona Beach-Ormond Beach, Florida

387

76.8

2.5

(71.9–81.7)

Denver-Aurora, Colorado

1,160

75.7

1.4

(72.9–78.4)

Des Moines-West Des Moines, Iowa

286

71.9

3.0

(66.0–77.7)

Detroit-Livonia-Dearborn, Michigan

655

67.6

2.3

(63.0–72.1)

Dover, Delaware

379

71.2

2.6

(66.1–76.2)

Durham, North Carolina

266

72.4

4.0

(64.5–80.2)

Edison, New Jersey

625

71.1

2.2

(66.7–75.4)

El Paso, Texas

251

65.2

3.5

(58.3–72.0)

Eugene-Springfield, Oregon

176

74.2

3.7

(66.9–81.4)

Evansville, Indiana-Kentucky

170

71.8

4.1

(63.7–79.8)

Fargo, North Dakota-Minnesota

238

75.8

4.2

(67.5–84.0)

Farmington, New Mexico

192

63.4

4.3

(54.9–71.8)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

244

64.7

4.1

(56.6–72.7)

Fort Collins-Loveland, Colorado

157

73.2

3.7

(65.9–80.4)

Fort Wayne, Indiana

230

68.4

3.4

(61.7–75.0)

Fort Worth-Arlington, Texas

243

74.1

3.6

(67.0–81.1)


TABLE 20. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010

MMSA(s)

Sample Size

%

SE

(95% CI)

Gainesville, Florida

320

66.5

4.0

(58.6–74.3)

Grand Island, Nebraska

341

69.8

2.9

(64.1–75.4)

Grand Rapids-Wyoming, Michigan

202

71.1

3.5

(64.2–77.9)

Greensboro-High Point, North Carolina

395

66.8

2.9

(61.1–72.4)

Greenville, South Carolina

298

69.8

3.6

(62.7–76.8)

Hagerstown-Martinsburg, Maryland-West Virginia

193

68.8

4.0

(60.9–76.6)

Hartford-West Hartford-East Hartford, Connecticut

633

71.9

2.0

(67.9–75.8)

Hastings, Nebraska

218

72.3

3.3

(65.8–78.7)

Helena, Montana

217

69.3

3.3

(62.8–75.7)

Hickory-Morganton-Lenoir, North Carolina

202

69.9

3.9

(62.2–77.5)

Hilo, Hawaii

416

61.2

2.8

(55.7–66.6)

Hilton Head Island-Beaufort, South Carolina

355

72.5

2.7

(67.2–77.7)

Homosassa Springs, Florida

265

73.6

3.0

(67.7–79.4)

Honolulu, Hawaii

967

66.3

1.8

(62.7–69.8)

Houston-Sugar Land-Baytown, Texas

701

64.7

2.3

(60.1–69.2)

Huntington-Ashland, West Virginia-Kentucky-Ohio

212

70.0

3.9

(62.3–77.6)

Idaho Falls, Idaho

197

57.0

3.9

(49.3–64.6)

Indianapolis-Carmel, Indiana

642

71.8

2.4

(67.0–76.5)

Jackson, Mississippi

257

69.5

3.2

(63.2–75.7)

Jacksonville, Florida

844

64.8

2.9

(59.1–70.4)

Kahului-Wailuku, Hawaii

440

65.7

2.9

(60.0–71.3)

Kalispell, Montana

215

74.8

3.3

(68.3–81.2)

Kansas City, Missouri-Kansas

1,059

70.3

1.9

(66.5–74.0)

Kapaa, Hawaii

199

66.4

3.7

(59.1–73.6)

Kennewick-Richland-Pasco, Washington

178

70.6

3.9

(62.9–78.2)

Key West-Marathon, Florida

203

61.6

4.0

(53.7–69.4)

Kingsport-Bristol, Tennessee-Virginia

276

75.7

3.5

(68.8–82.5)

Knoxville, Tennessee

182

71.9

4.2

(63.6–80.1)

Lake City, Florida

175

64.1

4.7

(54.8–73.3)

Lakeland-Winter Haven, Florida

203

67.5

3.7

(60.2–74.7)

Laredo, Texas

186

48.6

4.1

(40.5–56.6)

Las Cruces, New Mexico

192

66.3

3.9

(58.6–73.9)

Las Vegas-Paradise, Nevada

399

64.0

2.9

(58.3–69.6)

Lebanon, New Hampshire-Vermont

494

70.4

2.3

(65.8–74.9)

Lewiston, Idaho-Washington

241

61.4

3.5

(54.5–68.2)

Lewiston-Auburn, Maine

150

65.2

4.8

(55.7–74.6)

Lincoln, Nebraska

374

70.5

2.9

(64.8–76.1)

Little Rock-North Little Rock, Arkansas

302

67.9

3.2

(61.6–74.1)

Los Angeles-Long Beach-Glendale, California

664

57.4

2.4

(52.6–62.1)

Louisville, Kentucky-Indiana

264

62.6

3.5

(55.7–69.4)

Lubbock, Texas

303

69.9

3.0

(64.0–75.7)

Manchester-Nashua, New Hampshire

403

71.2

2.5

(66.3–76.1)

McAllen-Edinburg-Mission, Texas

174

62.6

4.1

(54.5–70.6)

Memphis, Tennessee-Mississippi-Arkansas

394

62.9

3.6

(55.8–69.9)

Miami-Fort Lauderdale-Miami Beach, Florida

341

60.1

3.4

(53.4–66.7)

Midland, Texas

207

61.0

3.8

(53.5–68.4)

Milwaukee-Waukesha-West Allis, Wisconsin

390

77.8

2.9

(72.1–83.4)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

1,050

72.6

1.9

(68.8–76.3)

Minot, North Dakota

168

68.4

4.0

(60.5–76.2)

Mobile, Alabama

234

71.0

3.2

(64.7–77.2)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

211

70.9

3.6

(63.8–77.9)

Naples-Marco Island, Florida

299

79.9

2.6

(74.8–84.9)

Nashville-Davidson-Murfreesboro, Tennessee

253

67.0

3.7

(59.7–74.2)

Nassau-Suffolk, New York*

354

68.1

2.9

(62.4–73.7)

Newark-Union, New Jersey-Pennsylvania

767

63.5

2.2

(59.1–67.8)

New Haven-Milford, Connecticut

542

69.2

2.6

(64.1–74.2)

New Orleans-Metairie-Kenner, Louisiana

445

67.1

2.6

(62.0–72.1)

New York-White Plains-Wayne, New York-New Jersey

1,612

58.0

1.6

(54.8–61.1)

Norfolk, Nebraska

247

71.9

3.1

(65.8–77.9)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

220

574

66.5

75.1

3.6

2.1

(59.4–73.5)

(70.9–79.2)

Ocala, Florida

305

75.3

2.8

(69.8–80.7)

Ocean City, New Jersey

188

64.8

3.8

(57.3–72.2)


TABLE 20. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010

MMSA(s)

Sample Size

%

SE

(95% CI)

Ogden-Clearfield, Utah

438

65.2

2.6

(60.1–70.2)

Oklahoma City, Oklahoma

757

71.5

1.8

(67.9–75.0)

Olympia, Washington

210

62.0

3.9

(54.3–69.6)

Omaha-Council Bluffs, Nebraska-Iowa

636

75.2

2.1

(71.0–79.3)

Orlando-Kissimmee, Florida

857

64.2

2.0

(60.2–68.1)

Palm Bay-Melbourne-Titusville, Florida

233

67.6

3.4

(60.9–74.2)

Panama City-Lynn Haven, Florida

182

72.8

4.0

(64.9–80.6)

Pensacola-Ferry Pass-Brent, Florida

Peabody, Massachusetts

317

568

71.3

68.8

2.9

30.

(65.6–76.9)

(62.9–74.6)

Philadelphia, Pennsylvania

727

66.1

2.5

(61.2–71.0)

Phoenix-Mesa-Scottsdale, Arizona

639

73.2

2.1

(69.0–77.3)

Pittsburgh, Pennsylvania

859

75.2

1.6

(72.0–78.3)

Portland-South Portland-Biddeford, Maine

792

73.2

1.7

(69.8–76.5)

Portland-Vancouver-Beaverton, Oregon-Washington

1,058

73.9

1.7

(70.5–77.2)

Port St. Lucie-Fort Pierce, Florida

471

73.1

2.2

(68.7–77.4)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

2,819

70.0

1.2

(67.6–72.3)

Provo-Orem, Utah

261

68.0

3.1

(61.9–74.0)

Raleigh-Cary, North Carolina

238

70.3

4.0

(62.4–78.1)

Rapid City, South Dakota

276

68.8

3.0

(62.9–74.6)

Reno-Sparks, Nevada

397

72.3

2.5

(67.4–77.2)

Richmond, Virginia

220

75.2

3.5

(68.3–82.0)

Riverside-San Bernardino-Ontario, California

501

62.0

2.6

(56.9–67.0)

Rochester, New York

208

75.9

3.3

(69.4–82.3)

Rockingham County-Strafford County, New Hampshire

446

74.8

2.3

(70.2–79.3)

Rutland, Vermont

220

70.1

3.4

(63.4–76.7)

Sacramento–Arden-Arcade–Roseville, California

401

71.8

2.7

(66.5–77.0)

St. Louis, Missouri-Illinois

526

72.4

2.8

(66.9–77.8)

Salt Lake City, Utah

992

73.6

1.6

(70.4–76.7)

San Antonio, Texas

396

71.4

2.8

(65.9–76.8)

San Diego-Carlsbad-San Marcos, California

479

62.8

2.8

(57.3–68.2)

San Francisco-Oakland-Fremont, California

673

57.2

2.8

(51.7–62.6)

San Jose-Sunnyvale-Santa Clara, California

247

74.0

4.1

(65.9–82.0)

Santa Ana-Anaheim-Irvine, California

398

61.3

3.3

(54.8–67.7)

Santa Fe, New Mexico

188

65.7

4.1

(57.6–73.7)

Scottsbluff, Nebraska

327

64.3

3.4

(57.6–70.9)

Scranton-Wilkes-Barre, Pennsylvania

208

62.1

3.8

(54.6–69.5)

Seaford, Delaware

510

73.6

2.3

(69.0–78.1)

Seattle-Bellevue-Everett, Washington

1,337

70.8

1.6

(67.6–73.9)

Sebring, Florida

288

66.9

3.3

(60.4–73.3)

Shreveport-Bossier City, Louisiana

228

68.2

3.6

(61.1–75.2)

Sioux City, Iowa-Nebraska-South Dakota

395

61.9

4.9

(52.2–71.5)

Sioux Falls, South Dakota

264

70.9

3.0

(65.0–76.7)

Spokane, Washington

388

73.5

2.5

(68.6–78.4)

Springfield, Massachusetts

552

71.4

2.6

(66.3–76.4)

Tacoma, Washington

541

73.4

2.2

(69.0–77.7)

Tallahassee, Florida

606

68.7

3.3

(62.2–75.1)

Tampa-St. Petersburg-Clearwater, Florida

842

68.3

2.1

(64.1–72.4)

Toledo, Ohio

245

58.2

3.9

(50.5–65.8)

Topeka, Kansas

269

74.0

2.9

(68.3–79.6)

Trenton-Ewing, New Jersey

126

64.4

5.0

(54.6–74.2)

Tucson, Arizona

309

75.3

2.8

(69.8–80.7)

Tulsa, Oklahoma

718

74.1

1.9

(70.3–77.8)

Tuscaloosa, Alabama

156

56.7

4.4

(48.0–65.3)

Twin Falls, Idaho

202

75.9

3.3

(69.4–82.3)

Tyler, Texas

252

72.8

3.1

(66.7–78.8)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

296

68.7

3.6

(61.6–75.7)

Warren-Troy-Farmington Hills, Michigan

624

65.3

2.2

(60.9–69.6)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia

1,680

69.4

2.4

(64.6–74.1)

Wauchula, Florida

210

64.8

3.9

(57.1–72.4)

West Palm Beach-Boca Raton-Boynton Beach, Florida

258

74.4

3.0

(68.5–80.2)

Wichita, Kansas

607

68.4

2.0

(64.4–72.3)

Wichita Falls, Texas

343

73.1

3.2

(66.8–79.3)

Wilmington, Delaware-Maryland-New Jersey

628

63.0

2.3

(58.4–67.5)


TABLE 20. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010

MMSA(s)

Sample Size

%

SE

(95% CI)

Worcester, Massachusetts

522

73.5

2.7

(68.2–78.7)

Yakima, Washington

244

72.3

3.1

(66.2–78.3)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

369

61.8

3.9

(54.1–69.4)

Median

70.0

Range

48.6-79.9

Abbreviations: SE = standard error; CI = confidence interval.

* Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.

Metropolitan division.


TABLE 21. Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample Size

%

SE

(95% CI)

Jefferson County, Alabama

198

65.3

4.0

(57.4–73.1)

Mobile County, Alabama

234

71.0

3.2

(64.7–77.2)

Tuscaloosa County, Alabama

127

60.4

4.6

(51.3–69.4)

Maricopa County, Arizona

465

73.4

2.3

(68.8–77.9)

Pima County, Arizona

309

75.3

2.8

(69.8–80.7)

Pinal County, Arizona

174

70.7

3.9

(63.0–78.3)

Benton County, Arkansas

137

NA*

NA

NA

Pulaski County, Arkansas

206

71.6

4.0

(63.7–79.4)

Washington County, Arkansas

94

NA

NA

NA

Alameda County, California

190

50.8

5.1

(40.8–60.7)

Contra Costa County, California

211

68.6

4.0

(60.7–76.4)

Los Angeles County, California

664

57.4

2.4

(52.6–62.1)

Orange County, California

398

61.3

3.3

(54.8–67.7)

Placer County, California

93

74.4

4.8

(64.9–83.8)

Riverside County, California

276

62.9

3.5

(56.0–69.7)

Sacramento County, California

223

71.8

3.7

(64.5–79.0)

San Bernardino County, California

225

60.6

4.0

(52.7–68.4)

San Diego County, California

479

62.8

2.8

(57.3–68.2)

San Francisco County, California

102

NA

NA

NA

San Mateo County, California

96

NA

NA

NA

Santa Clara County, California

238

73.0

4.3

(64.5–81.4)

Adams County, Colorado

178

73.8

4.2

(65.5–82.0)

Arapahoe County, Colorado

209

77.0

3.4

(70.3–83.6)

Denver County, Colorado

258

77.9

2.9

(72.2–83.5)

Douglas County, Colorado

96

76.7

4.8

(67.2–86.1)

El Paso County, Colorado

254

73.3

2.9

(67.6–78.9)

Jefferson County, Colorado

314

74.3

2.8

(68.8–79.7)

Larimer County, Colorado

157

73.2

3.7

(65.9–80.4)

Fairfield County, Connecticut

665

66.2

2.6

(61.1–71.2)

Hartford County, Connecticut

472

72.2

2.3

(67.6–76.7)

Middlesex County, Connecticut

91

75.5

5.1

(65.5–85.4)

New Haven County, Connecticut

542

69.2

2.6

(64.1–74.2)

Tolland County, Connecticut

70

NA

NA

NA

Kent County, Delaware

379

71.2

2.6

(66.1–76.2)

New Castle County, Delaware

504

66.3

2.4

(61.5–71.0)

Sussex County, Delaware

510

73.6

2.3

(69.0–78.1)

District of Columbia, District of Columbia

1,139

64.6

1.8

(61.0–68.1)

Alachua County, Florida

167

65.8

4.3

(57.3–74.2)

Baker County, Florida

149

NA

NA

NA

Bay County, Florida

182

72.8

4.0

(64.9–80.6)

Brevard County, Florida

233

67.6

3.4

(60.9–74.2)

Broward County, Florida

180

61.0

4.2

(52.7–69.2)

Citrus County, Florida

265

73.6

3.0

(67.7–79.4)

Clay County, Florida

146

NA

NA

NA

Collier County, Florida

299

79.9

2.6

(74.8–84.9)

Columbia County, Florida

175

64.1

4.7

(54.8–73.3)

DeSoto County, Florida

217

76.1

3.4

(69.4–82.7)

Duval County, Florida

157

60.7

4.5

(51.8–69.5)

Escambia County, Florida

174

75.6

3.6

(68.5–82.6)

Gadsden County, Florida

159

69.9

4.4

(61.2–78.5)

Gilchrist County, Florida

153

NA

NA

NA

Hardee County, Florida

210

64.8

3.9

(57.1–72.4)

Hernando County, Florida

214

64.9

3.7

(57.6–72.1)

Highlands County, Florida

288

66.9

3.3

(60.4–73.3)

Hillsborough County, Florida

163

68.5

3.9

(60.8–76.1)

Jefferson County, Florida

159

NA

NA

NA

Lake County, Florida

300

71.9

2.8

(66.4–77.3)

Lee County, Florida

251

75.0

3.1

(68.9–81.0)

Leon County, Florida

143

72.6

4.2

(64.3–80.8)

Manatee County, Florida

235

74.0

3.2

(67.7–80.2)

Marion County, Florida

305

75.3

2.8

(69.8–80.7)

Martin County, Florida

255

75.2

2.9

(69.5–80.8)

Miami-Dade County, Florida

161

61.1

4.7

(51.8–70.3)


TABLE 21. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample Size

%

SE

(95% CI)

Monroe County, Florida

203

61.6

4.0

(53.7–69.4)

Nassau County, Florida

189

71.3

3.8

(63.8–78.7)

Orange County, Florida

238

59.7

3.9

(52.0–67.3)

Osceola County, Florida

180

61.9

4.3

(53.4–70.3)

Palm Beach County, Florida

258

74.4

3.0

(68.5–80.2)

Pasco County, Florida

244

68.7

3.5

(61.8–75.5)

Pinellas County, Florida

221

70.7

3.4

(64.0–77.3)

Polk County, Florida

203

67.5

3.7

(60.2–74.7)

St. Johns County, Florida

203

76.6

3.3

(70.1–83.0)

St. Lucie County, Florida

216

71.6

3.2

(65.3–77.8)

Santa Rosa County, Florida

143

64.5

4.4

(55.8–73.1)

Sarasota County, Florida

339

75.6

2.7

(70.3–80.8)

Seminole County, Florida

139

67.9

4.4

(59.2–76.5)

Volusia County, Florida

387

76.8

2.5

(71.9–81.7)

Wakulla County, Florida

145

NA

NA

NA

Cobb County, Georgia

70

NA

NA

NA

DeKalb County, Georgia

87

NA

NA

NA

Fulton County, Georgia

80

NA

NA

NA

Gwinnett County, Georgia

48

NA

NA

NA

Hawaii County, Hawaii

416

61.2

2.8

(55.7–66.6)

Honolulu County, Hawaii

967

66.3

1.8

(62.7–69.8)

Kauai County, Hawaii

199

66.4

3.7

(59.1–73.6)

Maui County, Hawaii

440

65.7

2.9

(60.0–71.3)

Ada County, Idaho

265

71.2

3.0

(65.3–77.0)

Bonneville County, Idaho

151

57.3

4.5

(48.4–66.1)

Canyon County, Idaho

207

72.1

3.3

(65.6–78.5)

Kootenai County, Idaho

209

62.2

3.7

(54.9–69.4)

Nez Perce County, Idaho

143

57.8

4.6

(48.7–66.8)

Twin Falls County, Idaho

166

75.4

3.7

(68.1–82.6)

Cook County, Illinois

904

61.0

2.1

(56.8–65.1)

DuPage County, Illinois

72

NA

NA

NA

Allen County, Indiana

186

69.7

3.8

(62.2–77.1)

Lake County, Indiana

299

64.1

4.3

(55.6–72.5)

Marion County, Indiana

433

76.1

2.8

(70.6–81.5)

Linn County, Iowa

167

69.9

3.8

(62.4–77.3)

Polk County, Iowa

210

70.7

3.5

(63.8–77.5)

Johnson County, Kansas

378

79.8

2.2

(75.4–84.1)

Sedgwick County, Kansas

458

67.3

2.3

(62.7–71.8)

Shawnee County, Kansas

208

73.8

3.2

(67.5–80.0)

Wyandotte County, Kansas

211

60.7

3.9

(53.0–68.3)

Jefferson County, Kentucky

130

68.2

4.7

(58.9–77.4)

Caddo Parish, Louisiana

151

65.0

4.5

(56.1–73.8)

East Baton Rouge Parish, Louisiana

210

68.0

3.8

(60.5–75.4)

Jefferson Parish, Louisiana

192

67.0

4.0

(59.1–74.8)

Orleans Parish, Louisiana

115

68.0

4.6

(58.9–77.0)

St. Tammany Parish, Louisiana

93

NA

NA

NA

Androscoggin County, Maine

150

65.2

4.8

(55.7–74.6)

Cumberland County, Maine

414

75.9

2.3

(71.3–80.4)

Kennebec County, Maine

190

71.8

3.5

(64.9–78.6)

Penobscot County, Maine

191

77.9

3.2

(71.6–84.1)

Sagadahoc County, Maine

84

NA

NA

NA

York County, Maine

294

70.7

2.8

(65.2–76.1)

Anne Arundel County, Maryland

144

62.9

4.6

(53.8–71.9)

Baltimore County, Maryland

292

73.0

2.9

(67.3–78.6)

Cecil County, Maryland

65

NA

NA

NA

Charles County, Maryland

65

NA

NA

NA

Frederick County, Maryland

131

69.3

4.8

(59.8–78.7)

Harford County, Maryland

65

NA

NA

NA

Howard County, Maryland

70

79.4

5.1

(69.4–89.3)

Montgomery County, Maryland

265

71.6

3.4

(64.9–78.2)

Prince George´s County, Maryland

178

62.1

4.2

(53.8–70.3)

Queen Anne´s County, Maryland

80

NA

NA

NA

Washington County, Maryland

123

79.0

4.3

(70.5–87.4)


TABLE 21. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample Size

%

SE

(95% CI)

Baltimore city, Maryland

133

54.6

5.1

(44.6–64.5)

Bristol County, Massachusetts

766

67.3

3.1

(61.2–73.3)

Essex County, Massachusetts

568

68.4

3.0

(62.5–74.2)

Hampden County, Massachusetts

444

72.0

3.1

(65.9–78.0)

Hampshire County, Massachusetts

64

NA

NA

NA

Middlesex County, Massachusetts

695

74.8

2.2

(70.4–79.1)

Norfolk County, Massachusetts

241

65.6

3.4

(58.9–72.2)

Plymouth County, Massachusetts

196

69.4

3.6

(62.3–76.4)

Suffolk County, Massachusetts

409

62.3

3.3

(55.8–68.7)

Worcester County, Massachusetts

522

73.5

2.7

(68.2–78.7)

Kent County, Michigan

142

72.2

4.2

(63.9–80.4)

Macomb County, Michigan

195

66.0

3.8

(58.5–73.4)

Oakland County, Michigan

322

64.5

3.1

(58.4–70.5)

Wayne County, Michigan

655

67.6

2.3

(63.0–72.1)

Anoka County, Minnesota

73

NA

NA

NA

Dakota County, Minnesota

107

NA

NA

NA

Hennepin County, Minnesota

454

73.3

3.2

(67.0–79.5)

Ramsey County, Minnesota

217

72.2

4.6

(63.1–81.2)

Washington County, Minnesota

60

NA

NA

NA

DeSoto County, Mississippi

146

71.7

4.5

(62.8–80.5)

Hinds County, Mississippi

116

73.7

4.5

(64.8–82.5)

Jackson County, Missouri

175

71.1

3.8

(63.6–78.5)

St. Louis County, Missouri

201

79.3

3.8

(71.8–86.7)

St. Louis city, Missouri

182

NA

NA

NA

Flathead County, Montana

215

74.8

3.3

(68.3–81.2)

Lewis and Clark County, Montana

181

69.4

3.7

(62.1–76.6)

Yellowstone County, Montana

190

76.2

3.6

(69.1–83.2)

Adams County, Nebraska

172

77.2

3.4

(70.5–83.8)

Dakota County, Nebraska

249

56.9

3.3

(50.4–63.3)

Douglas County, Nebraska

266

75.9

3.0

(70.0–81.7)

Hall County, Nebraska

227

69.0

3.6

(61.9–76.0)

Lancaster County, Nebraska

273

71.5

3.1

(65.4–77.5)

Lincoln County, Nebraska

210

67.4

3.7

(60.1–74.6)

Madison County, Nebraska

174

73.1

3.7

(65.8–80.3)

Sarpy County, Nebraska

145

69.4

4.7

(60.1–78.6)

Scotts Bluff County, Nebraska

316

64.8

3.5

(57.9–71.6)

Seward County, Nebraska

101

NA

NA

NA

Clark County, Nevada

399

64.0

2.9

(58.3–69.6)

Washoe County, Nevada

389

72.7

2.6

(67.6–77.7)

Grafton County, New Hampshire

169

68.5

4.0

(60.6–76.3)

Hillsborough County, New Hampshire

403

71.2

2.5

(66.3–76.1)

Merrimack County, New Hampshire

206

69.3

3.7

(62.0–76.5)

Rockingham County, New Hampshire

272

73.4

2.9

(67.7–79.0)

Strafford County, New Hampshire

174

77.9

3.5

(71.0–84.7)

Atlantic County, New Jersey

250

59.3

3.8

(51.8–66.7)

Bergen County, New Jersey

170

58.3

4.6

(49.2–67.3)

Burlington County, New Jersey

165

65.6

4.2

(57.3–73.8)

Camden County, New Jersey

152

66.3

4.5

(57.4–75.1)

Cape May County, New Jersey

188

64.8

3.8

(57.3–72.2)

Essex County, New Jersey

243

54.8

4.0

(46.9–62.6)

Gloucester County, New Jersey

141

60.2

5.1

(50.2–70.1)

Hudson County, New Jersey

219

47.6

4.0

(39.7–55.4)

Hunterdon County, New Jersey

109

NA

NA

NA

Mercer County, New Jersey

126

64.4

5.0

(54.6–74.2)

Middlesex County, New Jersey

153

76.1

3.9

(68.4–83.7)

Monmouth County, New Jersey

141

62.8

4.8

(53.3–72.2)

Morris County, New Jersey

161

65.7

4.3

(57.2–74.1)

Ocean County, New Jersey

203

75.9

3.5

(69.0–82.7)

Passaic County, New Jersey

139

60.3

5.0

(50.5–70.1)

Somerset County, New Jersey

128

67.9

4.9

(58.2–77.5)

Sussex County, New Jersey

112

65.8

5.0

(56.0–75.6)

Union County, New Jersey

122

71.0

4.8

(61.5–80.4)

Warren County, New Jersey

150

62.5

4.5

(53.6–71.3)


TABLE 21. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample Size

%

SE

(95% CI)

Bernalillo County, New Mexico

393

74.3

2.5

(69.4–79.2)

Dona Ana County, New Mexico

192

66.3

3.9

(58.6–73.9)

Sandoval County, New Mexico

153

77.1

3.8

(69.6–84.5)

San Juan County, New Mexico

192

63.4

4.3

(54.9–71.8)

Santa Fe County, New Mexico

188

65.7

4.1

(57.6–73.7)

Valencia County, New Mexico

107

NA

NA

NA

Bronx County, New York

107

NA

NA

NA

Erie County, New York

170

74.2

3.7

(66.9–81.4)

Kings County, New York

214

56.6

4.1

(48.5–64.6)

Monroe County, New York

142

77.0

3.9

(69.3–84.6)

Nassau County, New York

160

72.6

4.0

(64.7–80.4)

New York County, New York

306

63.3

3.8

(55.8–70.7)

Queens County, New York

223

60.1

3.9

(52.4–67.7)

Suffolk County, New York

194

65.3

3.8

(57.8–72.7)

Westchester County, New York

113

NA

NA

NA

Buncombe County, North Carolina

98

79.1

4.5

(70.2–87.9)

Cabarrus County, North Carolina

104

75.5

4.6

(66.4–84.5)

Catawba County, North Carolina

101

75.9

4.7

(66.6–85.1)

Durham County, North Carolina

161

80.4

3.4

(73.7–87.0)

Gaston County, North Carolina

84

NA

NA

NA

Guilford County, North Carolina

222

69.2

3.4

(62.5–75.8)

Johnston County, North Carolina

70

NA

NA

NA

Mecklenburg County, North Carolina

171

69.0

4.3

(60.5–77.4)

Orange County, North Carolina

72

NA

NA

NA

Randolph County, North Carolina

144

67.9

4.7

(58.6–77.1)

Union County, North Carolina

99

NA

NA

NA

Wake County, North Carolina

157

74.1

4.1

(66.0–82.1)

Burleigh County, North Dakota

163

69.8

3.7

(62.5–77.0)

Cass County, North Dakota

223

75.7

3.1

(69.6–81.7)

Ward County, North Dakota

137

69.7

4.4

(61.0–78.3)

Cuyahoga County, Ohio

215

71.8

3.3

(65.3–78.2)

Franklin County, Ohio

169

74.4

3.6

(67.3–81.4)

Hamilton County, Ohio

216

69.4

3.4

(62.7–76.0)

Lucas County, Ohio

206

56.1

3.9

(48.4–63.7)

Mahoning County, Ohio

246

62.9

3.5

(56.0–69.7)

Montgomery County, Ohio

243

73.9

3.2

(67.6–80.1)

Stark County, Ohio

224

67.5

3.6

(60.4–74.5)

Summit County, Ohio

223

71.0

3.4

(64.3–77.6)

Cleveland County, Oklahoma

121

70.6

4.9

(60.9–80.2)

Oklahoma County, Oklahoma

453

73.0

2.3

(68.4–77.5)

Tulsa County, Oklahoma

495

71.0

2.4

(66.2–75.7)

Clackamas County, Oregon

142

67.4

4.3

(58.9–75.8)

Lane County, Oregon

176

74.2

3.7

(66.9–81.4)

Multnomah County, Oregon

248

75.9

3.0

(70.0–81.7)

Washington County, Oregon

174

77.9

3.4

(71.2–84.5)

Allegheny County, Pennsylvania

491

73.4

2.2

(69.0–77.7)

Lehigh County, Pennsylvania

76

NA

NA

NA

Luzerne County, Pennsylvania

119

62.0

5.0

(52.2–71.8)

Montgomery County, Pennsylvania

105

67.8

5.0

(58.0–77.6)

Northampton County, Pennsylvania

94

NA

NA

NA

Philadelphia County, Pennsylvania

436

62.6

2.7

(57.3–67.8)

Westmoreland County, Pennsylvania

124

76.5

4.3

(68.0–84.9)

Bristol County, Rhode Island

84

78.6

4.8

(69.1–88.0)

Kent County, Rhode Island

294

74.6

2.9

(68.9–80.2)

Newport County, Rhode Island

164

71.3

3.7

(64.0–78.5)

Providence County, Rhode Island

1,250

70.6

1.5

(67.6–73.5)

Washington County, Rhode Island

261

65.2

3.4

(58.5–71.8)

Aiken County, South Carolina

180

64.6

4.0

(56.7–72.4)

Beaufort County, South Carolina

314

72.5

2.8

(67.0–77.9)

Berkeley County, South Carolina

106

NA

NA

NA

Charleston County, South Carolina

239

66.6

4.5

(57.7–75.4)

Greenville County, South Carolina

193

77.1

3.9

(69.4–84.7)

Horry County, South Carolina

211

70.9

3.6

(63.8–77.9)


TABLE 21. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample Size

%

SE

(95% CI)

Richland County, South Carolina

205

76.5

4.5

(67.6–85.3)

Minnehaha County, South Dakota

192

73.7

3.4

(67.0–80.3)

Pennington County, South Dakota

214

69.7

3.4

(63.0–76.3)

Davidson County, Tennessee

139

64.1

5.0

(54.3–73.9)

Hamilton County, Tennessee

130

63.1

4.9

(53.4–72.7)

Knox County, Tennessee

123

71.8

4.7

(62.5–81.0)

Shelby County, Tennessee

130

61.3

4.9

(51.6–70.9)

Sullivan County, Tennessee

204

71.7

3.6

(64.6–78.7)

Bexar County, Texas

342

71.4

2.8

(65.9–76.8)

Dallas County, Texas

138

72.3

4.4

(63.6–80.9)

El Paso County, Texas

251

65.2

3.5

(58.3–72.0)

Fort Bend County, Texas

204

60.5

4.1

(52.4–68.5)

Harris County, Texas

381

67.3

2.8

(61.8–72.7)

Hidalgo County, Texas

174

62.6

4.1

(54.5–70.6)

Lubbock County, Texas

293

69.8

3.0

(63.9–75.6)

Midland County, Texas

207

61.0

3.8

(53.5–68.4)

Potter County, Texas

105

83.1

4.0

(75.2–90.9)

Randall County, Texas

176

72.3

3.8

(64.8–79.7)

Smith County, Texas

252

72.8

3.1

(66.7–78.8)

Tarrant County, Texas

192

76.3

3.5

(69.4–83.1)

Travis County, Texas

181

NA

NA

NA

Val Verde County, Texas

191

61.6

3.7

(54.3–68.8)

Webb County, Texas

186

48.6

4.1

(40.5–56.6)

Wichita County, Texas

287

72.4

2.9

(66.7–78.0)

Davis County, Utah

198

65.7

3.7

(58.4–72.9)

Salt Lake County, Utah

786

74.0

1.7

(70.6–77.3)

Summit County, Utah

85

77.1

4.9

(67.4–86.7)

Tooele County, Utah

121

NA

NA

NA

Utah County, Utah

245

68.0

3.2

(61.7–74.2)

Weber County, Utah

225

65.4

3.5

(58.5–72.2)

Chittenden County, Vermont

355

75.1

2.5

(70.2–80.0)

Franklin County, Vermont

112

72.4

4.5

(63.5–81.2)

Orange County, Vermont

91

73.0

4.9

(63.3–82.6)

Rutland County, Vermont

220

70.1

3.4

(63.4–76.7)

Washington County, Vermont

226

71.9

3.4

(65.2–78.5)

Windsor County, Vermont

234

71.1

3.2

(64.8–77.3)

Benton County, Washington

125

68.6

4.5

(59.7–77.4)

Clark County, Washington

322

74.7

2.6

(69.6–79.7)

Franklin County, Washington

53

NA

NA

NA

King County, Washington

893

73.9

1.6

(70.7–77.0)

Kitsap County, Washington

287

67.2

3.0

(61.3–73.0)

Pierce County, Washington

541

73.8

2.1

(69.6–77.9)

Snohomish County, Washington

444

70.6

2.4

(65.8–75.3)

Spokane County, Washington

388

73.5

2.5

(68.6–78.4)

Thurston County, Washington

210

62.0

3.9

(54.3–69.6)

Yakima County, Washington

244

72.3

3.1

(66.2–78.3)

Kanawha County, West Virginia

190

67.7

3.8

(60.2–75.1)

Milwaukee County, Wisconsin

301

71.4

4.2

(63.1–79.6)

Laramie County, Wyoming

312

71.3

2.9

(65.6–76.9)

Natrona County, Wyoming

225

73.5

3.3

(67.0–79.9)

Median

70.6

Range

47.6-83.1

Abbreviations: SE = standard error; CI = confidence interval.

* Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 22. Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

5,033

63.9

0.9

(62.0–65.7)

Alaska

1,000

61.9

2.2

(57.6–66.2)

Arizona

4,044

61.1

1.6

(58.0–64.2)

Arkansas

2,842

60.9

1.1

(58.7–63.2)

California

9,964

61.5

0.6

(60.2–62.7)

Colorado

7,037

65.3

0.7

(63.8–66.7)

Connecticut

4,275

75.7

0.9

(74.0–77.5)

Delaware

2,802

74.0

1.1

(71.9–76.1)

District of Columbia

2,419

66.4

1.4

(63.6–69.1)

Florida

24,195

68.2

0.7

(66.8–69.7)

Georgia

3,522

67.7

1.0

(65.7–69.7)

Hawaii

4,349

61.5

1.0

(59.5–63.5)

Idaho

4,568

59.8

0.9

(58.0–61.6)

Illinois

3,328

61.9

1.1

(59.6–64.1)

Indiana

6,581

62.8

0.8

(61.2–64.4)

Iowa

4,060

64.2

0.9

(62.5–65.9)

Kansas

5,782

64.2

0.7

(62.7–65.6)

Kentucky

5,253

63.7

1.0

(61.7–65.7)

Louisiana

4,488

60.8

0.9

(59.1–62.5)

Maine

5,469

74.3

0.7

(72.9–75.7)

Maryland

5,502

72.3

0.8

(70.7–73.9)

Massachusetts

9,384

75.2

0.7

(73.9–76.5)

Michigan

6,091

70.9

0.7

(69.5–72.4)

Minnesota

5,390

72.2

0.9

(70.5–74.0)

Mississippi

5,505

59.5

0.9

(57.8–61.2)

Missouri

3,605

65.2

1.1

(63.0–67.5)

Montana

4,926

61.0

0.9

(59.2–62.8)

Nebraska

11,269

61.8

0.8

(60.3–63.3)

Nevada

2,439

61.5

1.5

(58.5–64.5)

New Hampshire

3,988

75.2

0.8

(73.5–76.8)

New Jersey

7,154

65.6

0.8

(64.0–67.1)

New Mexico

4,661

61.3

0.9

(59.5–63.1)

New York

5,584

71.2

0.8

(69.7–72.7)

North Carolina

7,699

69.6

0.8

(68.1–71.2)

North Dakota

3,043

61.1

1.0

(59.2–63.1)

Ohio

6,392

64.0

0.8

(62.5–65.6)

Oklahoma

5,143

58.0

0.8

(56.4–59.6)

Oregon

3,488

66.1

0.9

(64.2–67.9)

Pennsylvania

7,349

68.0

0.7

(66.6–69.4)

Rhode Island

4,222

74.5

0.8

(72.9–76.1)

South Carolina

6,383

67.3

0.9

(65.4–69.1)

South Dakota

4,435

67.1

0.9

(65.4–68.9)

Tennessee

3,838

60.5

1.1

(58.4–62.7)

Texas

11,280

61.6

0.9

(59.7–63.4)

Utah

5,528

69.9

0.8

(68.4–71.4)

Vermont

4,563

73.1

0.8

(71.6–74.6)

Virginia

3,333

69.3

1.2

(67.0–71.6)

Washington

13,435

70.7

0.5

(69.7–71.7)

West Virginia

2,957

54.4

1.0

(52.3–56.4)

Wisconsin

2,946

69.4

1.1

(67.3–71.5)

Wyoming

3,954

59.3

0.9

(57.5–61.1)

Guam

316

37.8

3.1

(31.7–43.9)

Puerto Rico

2,379

43.4

1.2

(41.1–45.8)

Virgin Islands

1,012

42.1

1.9

(38.4–45.9)

Median

64.2

Range

37.8-75.7

Abbreviations: SE = standard error; CI = confidence interval.


TABLE 23. Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

535

66.1

2.5

(61.2–71.0)

Albuquerque, New Mexico

1,427

65.7

1.6

(62.5–68.8)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

687

65.7

2.5

(60.8–70.6)

Amarillo, Texas

553

65.8

2.4

(61.0–70.5)

Arcadia, Florida

371

61.6

3.8

(54.1–69.0)

Asheville, North Carolina

410

68.1

3.1

(62.0–74.1)

Atlanta-Sandy Springs-Marietta, Georgia

1,357

69.2

1.7

(65.8–72.5)

Atlantic City, New Jersey

571

61.9

2.5

(57.0–66.8)

Augusta-Richmond County, Georgia-South Carolina

570

64.4

2.7

(59.1–69.6)

Augusta-Waterville, Maine

438

77.1

2.2

(72.7–81.4)

Austin-Round Rock, Texas

569

71.4

3.3

(64.9–77.8)

Baltimore-Towson, Maryland

1,995

70.6

1.3

(68.0–73.1)

Bangor, Maine

452

73.1

2.3

(68.5–77.6)

Barre, Vermont

460

78.4

2.2

(74.0–82.7)

Baton Rouge, Louisiana

736

65.6

2.2

(61.2–69.9)

Bethesda-Gaithersburg-Frederick, Maryland*

932

75.6

1.8

(72.0–79.1)

Billings, Montana

379

67.3

2.9

(61.6–72.9)

Birmingham-Hoover, Alabama

773

66.3

2.2

(61.9–70.6)

Bismarck, North Dakota

495

64.9

2.4

(60.1–69.6)

Boise City-Nampa, Idaho

1,032

62.2

1.8

(58.6–65.7)

Boston-Quincy, Massachusetts*

1,879

76.9

1.4

(74.1–79.6)

Bremerton-Silverdale, Washington

627

72.9

2.0

(68.9–76.8)

Bridgeport-Stamford-Norwalk, Connecticut

1,330

74.7

1.8

(71.1–78.2)

Buffalo-Cheektowaga-Tonawanda, New York

422

74.8

2.3

(70.2–79.3)

Burlington-South Burlington, Vermont

1,242

75.5

1.4

(72.7–78.2)

Cambridge-Newton-Framingham, Massachusetts*

1,617

76.6

1.5

(73.6–79.5)

Camden, New Jersey*

1,007

68.7

1.8

(65.1–72.2)

Canton-Massillon, Ohio

508

66.4

2.5

(61.5–71.3)

Cape Coral-Fort Myers, Florida

378

73.0

2.7

(67.7–78.2)

Casper, Wyoming

517

61.6

2.4

(56.8–66.3)

Cedar Rapids, Iowa

353

68.3

3.0

(62.4–74.1)

Charleston, West Virginia

542

61.0

2.4

(56.2–65.7)

Charleston-North Charleston, South Carolina

768

73.2

2.8

(67.7–78.6)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,042

72.1

1.9

(68.3–75.8)

Chattanooga, Tennessee-Georgia

347

64.4

3.7

(57.1–71.6)

Cheyenne, Wyoming

610

64.8

2.3

(60.2–69.3)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

3,095

60.8

1.4

(58.0–63.5)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,171

65.8

2.1

(61.6–69.9)

Cleveland-Elyria-Mentor, Ohio

731

63.9

2.1

(59.7–68.0)

Coeur d´Alene, Idaho

414

66.5

2.6

(61.4–71.5)

Colorado Springs, Colorado

667

65.3

2.2

(60.9–69.6)

Columbia, South Carolina

721

66.0

2.7

(60.7–71.2)

Columbus, Ohio

824

66.4

2.0

(62.4–70.3)

Concord, New Hampshire

431

76.8

2.3

(72.2–81.3)

Dallas-Plano-Irving, Texas*

430

60.5

4.0

(52.6–68.3)

Dayton, Ohio

586

75.9

2.2

(71.5–80.2)

Del Rio, Texas

351

39.5

3.8

(32.0–46.9)

Deltona-Daytona Beach-Ormond Beach, Florida

657

71.8

2.4

(67.0–76.5)

Denver-Aurora, Colorado

2,783

67.9

1.1

(65.7–70.0)

Des Moines-West Des Moines, Iowa

633

65.5

2.1

(61.3–69.6)

Detroit-Livonia-Dearborn, Michigan*

1,314

68.2

2.0

(64.2–72.1)

Dover, Delaware

775

75.7

1.8

(72.1–79.2)

Durham, North Carolina

613

67.6

3.1

(61.5–73.6)

Edison, New Jersey*

1,319

68.3

1.6

(65.1–71.4)

El Paso, Texas

508

51.5

2.6

(46.4–56.5)

Eugene-Springfield, Oregon

367

64.3

2.9

(58.6–69.9)

Evansville, Indiana-Kentucky

363

67.8

3.0

(61.9–73.6)

Fargo, North Dakota-Minnesota

522

79.9

2.4

(75.1–84.6)

Farmington, New Mexico

440

57.5

2.9

(51.8–63.1)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

454

58.3

3.4

(51.6–64.9)

Fort Collins-Loveland, Colorado

361

70.3

2.8

(64.8–75.7)

Fort Wayne, Indiana

462

60.6

2.8

(55.1–66.0)

Fort Worth-Arlington, Texas*

477

67.4

3.0

(61.5–73.2)


TABLE 23. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

638

68.9

3.0

(63.0–74.7)

Grand Island, Nebraska

603

60.0

2.3

(55.4–64.5)

Grand Rapids-Wyoming, Michigan

412

77.2

2.7

(71.9–82.4)

Greensboro-High Point, North Carolina

792

71.6

2.2

(67.2–75.9)

Greenville, South Carolina

556

69.7

2.9

(64.0–75.3)

Hagerstown-Martinsburg, Maryland-West Virginia

421

61.5

2.9

(55.8–67.1)

Hartford-West Hartford-East Hartford, Connecticut

1,318

76.9

1.5

(73.9–79.8)

Hastings, Nebraska

410

55.6

2.8

(50.1–61.0)

Helena, Montana

468

65.4

2.5

(60.5–70.3)

Hickory-Morganton-Lenoir, North Carolina

396

64.0

3.0

(58.1–69.8)

Hilo, Hawaii

998

58.7

1.9

(54.9–62.4)

Hilton Head Island-Beaufort, South Carolina

588

70.9

2.4

(66.1–75.6)

Homosassa Springs, Florida

418

69.0

2.7

(63.7–74.2)

Honolulu, Hawaii

1,910

61.8

1.4

(59.0–64.5)

Houston-Sugar Land-Baytown, Texas

1,571

62.7

1.7

(59.3–66.0)

Huntington-Ashland, West Virginia-Kentucky-Ohio

441

53.1

3.1

(47.0–59.1)

Idaho Falls, Idaho

392

61.6

2.9

(55.9–67.2)

Indianapolis-Carmel, Indiana

1,383

68.1

1.7

(64.7–71.4)

Jackson, Mississippi

512

64.9

2.6

(59.8–69.9)

Jacksonville, Florida

1,658

69.7

2.1

(65.5–73.8)

Kahului-Wailuku, Hawaii

980

61.7

2.1

(57.5–65.8)

Kalispell, Montana

467

61.3

2.7

(56.0–66.5)

Kansas City, Missouri-Kansas

2,182

67.1

1.5

(64.1–70.0)

Kapaa, Hawaii

461

63.1

2.7

(57.8–68.3)

Kennewick-Richland-Pasco, Washington

405

70.1

3.3

(63.6–76.5)

Key West-Marathon, Florida

385

58.5

3.4

(51.8–65.1)

Kingsport-Bristol, Tennessee-Virginia

482

58.1

3.6

(51.0–65.1)

Knoxville, Tennessee

358

61.5

3.3

(55.0–67.9)

Lake City, Florida

358

66.4

3.3

(59.9–72.8)

Lakeland-Winter Haven, Florida

359

71.1

2.9

(65.4–76.7)

Laredo, Texas

418

37.3

3.3

(30.8–43.7)

Las Cruces, New Mexico

335

60.7

3.1

(54.6–66.7)

Las Vegas-Paradise, Nevada

741

60.5

2.2

(56.1–64.8)

Lebanon, New Hampshire-Vermont

1,052

73.8

1.5

(70.8–76.7)

Lewiston, Idaho-Washington

439

72.8

2.5

(67.9–77.7)

Lewiston-Auburn, Maine

317

71.7

3.1

(65.6–77.7)

Lincoln, Nebraska

757

66.4

2.2

(62.0–70.7)

Little Rock-North Little Rock, Arkansas

585

67.2

2.5

(62.3–72.1)

Los Angeles-Long Beach-Glendale, California*

1,305

56.3

1.8

(52.7–59.8)

Louisville, Kentucky-Indiana

580

65.5

2.4

(60.7–70.2)

Lubbock, Texas

523

64.4

2.7

(59.1–69.6)

Manchester-Nashua, New Hampshire

881

75.1

1.7

(71.7–78.4)

McAllen-Edinburg-Mission, Texas

332

54.0

3.5

(47.1–60.8)

Memphis, Tennessee-Mississippi-Arkansas

747

60.3

2.7

(55.0–65.5)

Miami-Fort Lauderdale-Miami Beach, Florida

657

66.5

2.7

(61.2–71.7)

Midland, Texas

367

56.5

3.1

(50.4–62.5)

Milwaukee-Waukesha-West Allis, Wisconsin

912

70.2

2.4

(65.4–74.9)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

2,717

74.2

1.3

(71.6–76.7)

Minot, North Dakota

341

61.5

2.9

(55.8–67.1)

Mobile, Alabama

450

59.2

3.0

(53.3–65.0)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

390

66.1

2.8

(60.6–71.5)

Naples-Marco Island, Florida

421

72.1

3.0

(66.2–77.9)

Nashville-Davidson-Murfreesboro, Tennessee

523

66.2

2.8

(60.7–71.6)

Nassau-Suffolk, New York*

674

67.0

2.3

(62.4–71.5)

Newark-Union, New Jersey-Pennsylvania*

1,857

65.6

1.5

(62.6–68.5)

New Haven-Milford, Connecticut

1,055

74.2

1.9

(70.4–77.9)

New Orleans-Metairie-Kenner, Louisiana

983

66.7

1.8

(63.1–70.2)

New York-White Plains-Wayne, New York-New Jersey*

3,438

68.8

1.1

(66.6–70.9)

Norfolk, Nebraska

471

58.7

2.7

(53.4–63.9)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

418

888

64.9

70.1

2.8

1.9

(59.4–70.3)

(66.3–73.8)

Ocala, Florida

443

68.0

2.8

(62.5–73.4)

Ocean City, New Jersey

371

66.9

2.7

(61.6–72.1)


TABLE 23. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

913

72.6

1.7

(69.2–75.9)

Oklahoma City, Oklahoma

1,538

63.1

1.4

(60.3–65.8)

Olympia, Washington

501

72.2

2.4

(67.4–76.9)

Omaha-Council Bluffs, Nebraska-Iowa

1,402

68.0

1.6

(64.8–71.1)

Orlando-Kissimmee, Florida

1,665

66.0

1.7

(62.6–69.3)

Palm Bay-Melbourne-Titusville, Florida

362

76.7

2.5

(71.8–81.6)

Panama City-Lynn Haven, Florida

350

75.3

3.1

(69.2–81.3)

Peabody, Massachusetts

1,204

74.4

2.1

(70.2–78.5)

Pensacola-Ferry Pass-Brent, Florida

658

71.9

2.3

(67.3–76.4)

Philadelphia, Pennsylvania*

1,475

71.8

1.7

(68.4–75.1)

Phoenix-Mesa-Scottsdale, Arizona

1,131

64.4

2.0

(60.4–68.3)

Pittsburgh, Pennsylvania

1,644

66.5

1.4

(63.7–69.2)

Portland-South Portland-Biddeford, Maine

1,754

76.5

1.3

(73.9–79.0)

Portland-Vancouver-Beaverton, Oregon-Washington

2,253

69.7

1.3

(67.1–72.2)

Port St. Lucie-Fort Pierce, Florida

751

71.4

2.0

(67.4–75.3)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

5,927

74.2

0.8

(72.6–75.7)

Provo-Orem, Utah

560

68.9

2.3

(64.3–73.4)

Raleigh-Cary, North Carolina

568

72.5

2.7

(67.2–77.7)

Rapid City, South Dakota

561

69.9

2.3

(65.3–74.4)

Reno-Sparks, Nevada

830

69.8

1.9

(66.0–73.5)

Richmond, Virginia

498

69.9

3.1

(63.8–75.9)

Riverside-San Bernardino-Ontario, California

1,003

55.4

1.9

(51.6–59.1)

Rochester, New York

402

73.9

2.7

(68.6–79.1)

Rockingham County-Strafford County, New Hampshire*

1,018

76.6

1.6

(73.4–79.7)

Rutland, Vermont

456

72.3

2.5

(67.4–77.2)

Sacramento-Arden-Arcade-Roseville, California

793

70.9

2.1

(66.7–75.0)

St. Louis, Missouri-Illinois

1,093

69.3

2.1

(65.1–73.4)

Salt Lake City, Utah

2,331

71.5

1.1

(69.3–73.6)

San Antonio, Texas

714

67.7

2.7

(62.4–72.9)

San Diego-Carlsbad-San Marcos, California

964

64.5

2.0

(60.5–68.4)

San Francisco-Oakland-Fremont, California

1,356

67.6

1.8

(64.0–71.1)

San Jose-Sunnyvale-Santa Clara, California

479

63.5

3.1

(57.4–69.5)

Santa Ana-Anaheim-Irvine, California*

815

64.8

2.2

(60.4–69.1)

Santa Fe, New Mexico

445

68.4

2.7

(63.1–73.6)

Scottsbluff, Nebraska

579

51.8

2.7

(46.5–57.0)

Scranton–Wilkes-Barre, Pennsylvania

389

68.4

2.8

(62.9–73.8)

Seaford, Delaware

936

74.5

1.7

(71.1–77.8)

Seattle-Bellevue-Everett, Washington*

3,032

71.4

1.1

(69.2–73.5)

Sebring, Florida

419

73.0

2.7

(67.7–78.2)

Shreveport-Bossier City, Louisiana

445

61.4

2.9

(55.7–67.0)

Sioux City, Iowa-Nebraska-South Dakota

754

58.9

3.5

(52.0–65.7)

Sioux Falls, South Dakota

536

74.8

2.1

(70.6–78.9)

Spokane, Washington

817

70.8

1.9

(67.0–74.5)

Springfield, Massachusetts

1,252

74.1

1.7

(70.7–77.4)

Tacoma, Washington*

1,111

73.4

1.7

(70.0–76.7)

Tallahassee, Florida

1,318

76.3

2.0

(72.3–80.2)

Tampa-St. Petersburg-Clearwater, Florida

1,454

68.0

1.7

(64.6–71.3)

Toledo, Ohio

562

64.6

2.6

(59.5–69.6)

Topeka, Kansas

579

72.1

2.2

(67.7–76.4)

Trenton-Ewing, New Jersey

297

69.1

3.1

(63.0–75.1)

Tucson, Arizona

512

71.1

2.5

(66.2–76.0)

Tulsa, Oklahoma

1,384

59.2

1.6

(56.0–62.3)

Tuscaloosa, Alabama

319

60.6

3.2

(54.3–66.8)

Twin Falls, Idaho

386

53.8

3.0

(47.9–59.6)

Tyler, Texas

451

75.2

2.5

(70.3–80.1)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

649

74.9

2.3

(70.3–79.4)

Warren-Troy-Farmington Hills, Michigan*

1,246

73.4

1.5

(70.4–76.3)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia*

3,755

72.7

1.8

(69.1–76.2)

Wauchula, Florida

354

57.4

3.2

(51.1–63.6)

West Palm Beach-Boca Raton-Boynton Beach, Florida*

412

73.4

2.9

(67.7–79.0)

Wichita, Kansas

1,241

68.1

1.5

(65.1–71.0)

Wichita Falls, Texas

590

64.0

2.8

(58.5–69.4)

Wilmington, Delaware-Maryland-New Jersey*

1,364

71.2

1.5

(68.2–74.1)


TABLE 23. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

1,207

76.2

1.7

(72.8–79.5)

Yakima, Washington

492

60.6

2.9

(54.9–66.2)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

743

59.7

2.8

(54.2–65.1)

Median

67.7

Range

37.3-79.9

Abbreviations: SE = standard error; CI = confidence interval.

* Metropolitan division.


TABLE 24. Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

382

64.1

3.0

(58.2-69.9)

Mobile County, Alabama

450

59.2

3.0

(53.3-65.0)

Tuscaloosa County, Alabama

260

62.9

3.4

(56.2-69.5)

Maricopa County, Arizona

855

64.6

2.1

(60.4-68.7)

Pima County, Arizona

512

71.1

2.5

(66.2-76.0)

Pinal County, Arizona

276

64.9

4.2

(56.6-73.1)

Benton County, Arkansas

229

67.8

4.3

(59.3-76.2)

Pulaski County, Arkansas

399

72.1

3.1

(66.0-78.1)

Washington County, Arkansas

201

55.4

4.9

(45.7-65.0)

Alameda County, California

398

63.8

3.3

(57.3-70.2)

Contra Costa County, California

407

73.8

2.9

(68.1-79.4)

Los Angeles County, California

1,305

56.3

1.8

(52.7-59.8)

Orange County, California

815

64.8

2.2

(60.4-69.1)

Placer County, California

158

74.1

4.2

(65.8-82.3)

Riverside County, California

504

59.2

2.7

(53.9-64.4)

Sacramento County, California

450

69.2

2.8

(63.7-74.6)

San Bernardino County, California

499

51.5

2.7

(46.2-56.7)

San Diego County, California

964

64.5

2.0

(60.5-68.4)

San Francisco County, California

208

65.0

3.9

(57.3-72.6)

San Mateo County, California

213

67.1

4.1

(59.0-75.1)

Santa Clara County, California

459

64.1

3.2

(57.8-70.3)

Adams County, Colorado

442

62.6

2.8

(57.1-68.0)

Arapahoe County, Colorado

507

69.1

2.5

(64.2-74.0)

Denver County, Colorado

523

64.5

2.5

(59.6-69.4)

Douglas County, Colorado

265

77.5

3.0

(71.6-83.3)

El Paso County, Colorado

582

65.4

2.3

(60.8-69.9)

Jefferson County, Colorado

725

69.9

2.1

(65.7-74.0)

Larimer County, Colorado

361

70.3

2.8

(64.8-75.7)

Fairfield County, Connecticut

1,330

74.7

1.8

(71.1-78.2)

Hartford County, Connecticut

979

78.2

1.7

(74.8-81.5)

Middlesex County, Connecticut

170

75.7

3.9

(68.0-83.3)

New Haven County, Connecticut

1,055

74.2

1.9

(70.4-77.9)

Tolland County, Connecticut

169

72.6

4.0

(64.7-80.4)

Kent County, Delaware

775

75.7

1.8

(72.1-79.2)

New Castle County, Delaware

1,091

73.2

1.6

(70.0-76.3)

Sussex County, Delaware

936

74.5

1.7

(71.1-77.8)

District of Columbia, District of Columbia

2,419

69.2

1.2

(66.8-71.5)

Alachua County, Florida

349

68.6

3.4

(61.9-75.2)

Baker County, Florida

322

75.9

3.6

(68.8-82.9)

Bay County, Florida

350

75.3

3.1

(69.2-81.3)

Brevard County, Florida

362

76.7

2.5

(71.8-81.6)

Broward County, Florida

348

64.9

3.3

(58.4-71.3)

Citrus County, Florida

418

69.0

2.7

(63.7-74.2)

Clay County, Florida

294

72.2

3.1

(66.1-78.2)

Collier County, Florida

421

72.1

3.0

(66.2-77.9)

Columbia County, Florida

358

66.4

3.3

(59.9-72.8)

DeSoto County, Florida

371

61.6

3.8

(54.1-69.0)

Duval County, Florida

341

67.2

3.3

(60.7-73.6)

Escambia County, Florida

348

72.3

3.1

(66.2-78.3)

Gadsden County, Florida

348

69.8

3.3

(63.3-76.2)

Gilchrist County, Florida

289

NA*

NA

NA

Hardee County, Florida

354

57.4

3.2

(51.1-63.6)

Hernando County, Florida

363

68.6

2.7

(63.3-73.8)

Highlands County, Florida

419

73.0

2.7

(67.7-78.2)

Hillsborough County, Florida

332

70.1

3.1

(64.0-76.1)

Jefferson County, Florida

342

68.3

5.0

(58.5-78.1)

Lake County, Florida

453

74.1

2.4

(69.3-78.8)

Lee County, Florida

378

73.0

2.7

(67.7-78.2)

Leon County, Florida

314

80.7

2.7

(75.4-85.9)

Manatee County, Florida

396

71.4

2.7

(66.1-76.6)

Marion County, Florida

443

68.0

2.8

(62.5-73.4)

Martin County, Florida

404

71.7

3.1

(65.6-77.7)

Miami-Dade County, Florida

309

71.4

3.4

(64.7-78.0)


TABLE 24. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

385

58.5

3.4

(51.8-65.1)

Nassau County, Florida

348

67.0

3.3

(60.5-73.4)

Orange County, Florida

552

61.5

2.9

(55.8-67.1)

Osceola County, Florida

355

63.9

3.3

(57.4-70.3)

Palm Beach County, Florida

412

73.4

2.9

(67.7-79.0)

Pasco County, Florida

385

65.2

2.9

(59.5-70.8)

Pinellas County, Florida

374

67.4

2.9

(61.7-73.0)

Polk County, Florida

359

71.1

2.9

(65.4-76.7)

St. Johns County, Florida

353

79.9

2.5

(75.0-84.8)

St. Lucie County, Florida

347

69.6

2.8

(64.1-75.0)

Santa Rosa County, Florida

310

70.7

3.5

(63.8-77.5)

Sarasota County, Florida

492

69.3

2.6

(64.2-74.3)

Seminole County, Florida

305

68.8

3.3

(62.3-75.2)

Volusia County, Florida

657

71.8

2.4

(67.0-76.5)

Wakulla County, Florida

314

67.5

4.7

(58.2-76.7)

Cobb County, Georgia

156

70.1

4.9

(60.4-79.7)

DeKalb County, Georgia

197

68.8

4.2

(60.5-77.0)

Fulton County, Georgia

191

73.0

4.2

(64.7-81.2)

Gwinnett County, Georgia

133

73.0

4.4

(64.3-81.6)

Hawaii County, Hawaii

998

58.7

1.9

(54.9-62.4)

Honolulu County, Hawaii

1,910

61.8

1.4

(59.0-64.5)

Kauai County, Hawaii

461

63.1

2.7

(57.8-68.3)

Maui County, Hawaii

980

61.7

2.1

(57.5-65.8)

Ada County, Idaho

539

66.9

2.5

(62.0-71.8)

Bonneville County, Idaho

302

63.1

3.2

(56.8-69.3)

Canyon County, Idaho

371

55.7

3.0

(49.8-61.5)

Kootenai County, Idaho

414

66.5

2.6

(61.4-71.5)

Nez Perce County, Idaho

263

71.4

3.1

(65.3-77.4)

Twin Falls County, Idaho

305

53.4

3.4

(46.7-60.0)

Cook County, Illinois

1,796

60.1

1.6

(56.9-63.2)

DuPage County, Illinois

152

62.5

4.6

(53.4-71.5)

Allen County, Indiana

376

61.2

3.2

(54.9-67.4)

Lake County, Indiana

629

58.5

3.4

(51.8-65.1)

Marion County, Indiana

929

71.2

2.2

(66.8-75.5)

Linn County, Iowa

309

71.6

2.9

(65.9-77.2)

Polk County, Iowa

477

66.2

2.4

(61.4-70.9)

Johnson County, Kansas

873

72.9

1.8

(69.3-76.4)

Sedgwick County, Kansas

957

70.4

1.7

(67.0-73.7)

Shawnee County, Kansas

444

74.5

2.5

(69.6-79.4)

Wyandotte County, Kansas

412

58.7

3.1

(52.6-64.7)

Jefferson County, Kentucky

265

65.7

3.5

(58.8-72.5)

Caddo Parish, Louisiana

294

63.3

3.6

(56.2-70.3)

East Baton Rouge Parish, Louisiana

450

68.1

2.7

(62.8-73.3)

Jefferson Parish, Louisiana

395

61.6

2.9

(55.9-67.2)

Orleans Parish, Louisiana

248

63.7

3.7

(56.4-70.9)

St. Tammany Parish, Louisiana

228

76.0

3.2

(69.7-82.2)

Androscoggin County, Maine

317

71.7

3.1

(65.6-77.7)

Cumberland County, Maine

934

75.4

1.8

(71.8-78.9)

Kennebec County, Maine

438

77.1

2.2

(72.7-81.4)

Penobscot County, Maine

452

73.1

2.3

(68.5-77.6)

Sagadahoc County, Maine

200

77.4

3.4

(70.7-84.0)

York County, Maine

620

78.2

1.9

(74.4-81.9)

Anne Arundel County, Maryland

359

73.0

2.9

(67.3-78.6)

Baltimore County, Maryland

646

72.2

2.1

(68.0-76.3)

Cecil County, Maryland

159

62.3

4.4

(53.6-70.9)

Charles County, Maryland

172

79.0

3.5

(72.1-85.8)

Frederick County, Maryland

315

70.1

3.0

(64.2-75.9)

Harford County, Maryland

161

66.7

4.3

(58.2-75.1)

Howard County, Maryland

179

80.6

3.1

(74.5-86.6)

Montgomery County, Maryland

617

76.8

2.0

(72.8-80.7)

Prince George´s County, Maryland

424

77.0

2.4

(72.2-81.7)

Queen Anne´s County, Maryland

188

75.2

3.6

(68.1-82.2)

Washington County, Maryland

267

67.4

3.5

(60.5-74.2)


TABLE 24. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

321

66.2

3.4

(59.5-72.8)

Bristol County, Massachusetts

1,705

72.9

2.1

(68.7-77.0)

Essex County, Massachusetts

1,204

74.8

2.1

(70.6-78.9)

Hampden County, Massachusetts

968

74.4

2.1

(70.2-78.5)

Hampshire County, Massachusetts

176

76.2

3.5

(69.3-83.0)

Middlesex County, Massachusetts

1,617

76.5

1.5

(73.5-79.4)

Norfolk County, Massachusetts

506

79.6

2.1

(75.4-83.7)

Plymouth County, Massachusetts

415

75.7

2.7

(70.4-80.9)

Suffolk County, Massachusetts

958

77.2

1.8

(73.6-80.7)

Worcester County, Massachusetts

1,207

76.2

1.7

(72.8-79.5)

Kent County, Michigan

294

76.3

3.5

(69.4-83.1)

Macomb County, Michigan

343

70.7

2.9

(65.0-76.3)

Oakland County, Michigan

664

76.0

2.1

(71.8-80.1)

Wayne County, Michigan

1,314

68.2

2.0

(64.2-72.1)

Anoka County, Minnesota

201

72.8

4.2

(64.5-81.0)

Dakota County, Minnesota

298

74.2

3.4

(67.5-80.8)

Hennepin County, Minnesota

1,176

75.4

2.1

(71.2-79.5)

Ramsey County, Minnesota

564

75.7

3.1

(69.6-81.7)

Washington County, Minnesota

127

78.4

4.3

(69.9-86.8)

DeSoto County, Mississippi

257

68.7

4.2

(60.4-76.9)

Hinds County, Mississippi

222

62.9

4.3

(54.4-71.3)

Jackson County, Missouri

342

66.9

3.1

(60.8-72.9)

St. Louis County, Missouri

383

71.4

3.3

(64.9-77.8)

St. Louis city, Missouri

390

62.3

4.1

(54.2-70.3)

Flathead County, Montana

467

61.3

2.7

(56.0-66.5)

Lewis and Clark County, Montana

384

66.6

2.8

(61.1-72.0)

Yellowstone County, Montana

344

65.6

3.1

(59.5-71.6)

Adams County, Nebraska

330

57.3

3.1

(51.2-63.3)

Dakota County, Nebraska

455

55.1

2.8

(49.6-60.5)

Douglas County, Nebraska

583

66.8

2.3

(62.2-71.3)

Hall County, Nebraska

406

61.4

2.7

(56.1-66.6)

Lancaster County, Nebraska

552

67.7

2.4

(62.9-72.4)

Lincoln County, Nebraska

397

66.5

2.8

(61.0-71.9)

Madison County, Nebraska

330

60.2

3.1

(54.1-66.2)

Sarpy County, Nebraska

331

74.9

3.2

(68.6-81.1)

Scotts Bluff County, Nebraska

559

52.7

2.7

(47.4-57.9)

Seward County, Nebraska

205

53.0

4.0

(45.1-60.8)

Clark County, Nevada

741

60.5

2.2

(56.1-64.8)

Washoe County, Nevada

815

69.8

1.9

(66.0-73.5)

Grafton County, New Hampshire

339

77.1

2.6

(72.0-82.1)

Hillsborough County, New Hampshire

881

75.1

1.7

(71.7-78.4)

Merrimack County, New Hampshire

431

76.8

2.3

(72.2-81.3)

Rockingham County, New Hampshire

645

78.3

1.9

(74.5-82.0)

Strafford County, New Hampshire

373

72.0

2.8

(66.5-77.4)

Atlantic County, New Jersey

571

61.9

2.5

(57.0-66.8)

Bergen County, New Jersey

354

67.8

3.1

(61.7-73.8)

Burlington County, New Jersey

340

71.1

2.8

(65.6-76.5)

Camden County, New Jersey

362

68.8

2.9

(63.1-74.4)

Cape May County, New Jersey

371

66.9

2.7

(61.6-72.1)

Essex County, New Jersey

530

67.8

2.5

(62.9-72.7)

Gloucester County, New Jersey

305

66.3

3.3

(59.8-72.7)

Hudson County, New Jersey

521

58.2

2.8

(52.7-63.6)

Hunterdon County, New Jersey

304

73.5

3.0

(67.6-79.3)

Mercer County, New Jersey

297

69.1

3.1

(63.0-75.1)

Middlesex County, New Jersey

343

70.5

3.0

(64.6-76.3)

Monmouth County, New Jersey

335

63.1

3.1

(57.0-69.1)

Morris County, New Jersey

403

63.8

2.9

(58.1-69.4)

Ocean County, New Jersey

354

67.4

3.0

(61.5-73.2)

Passaic County, New Jersey

275

47.8

3.6

(40.7-54.8)

Somerset County, New Jersey

287

74.3

3.1

(68.2-80.3)

Sussex County, New Jersey

302

59.2

3.4

(52.5-65.8)

Union County, New Jersey

280

66.6

3.4

(59.9-73.2)

Warren County, New Jersey

303

64.7

3.1

(58.6-70.7)


TABLE 24. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

819

66.2

1.9

(62.4-69.9)

Dona Ana County, New Mexico

335

60.7

3.1

(54.6-66.7)

Sandoval County, New Mexico

338

67.7

3.4

(61.0-74.3)

San Juan County, New Mexico

440

57.5

2.9

(51.8-63.1)

Santa Fe County, New Mexico

445

68.4

2.7

(63.1-73.6)

Valencia County, New Mexico

234

61.6

4.0

(53.7-69.4)

Bronx County, New York

228

65.6

3.8

(58.1-73.0)

Erie County, New York

338

73.9

2.7

(68.6-79.1)

Kings County, New York

480

66.2

2.9

(60.5-71.8)

Monroe County, New York

268

73.5

3.5

(66.6-80.3)

Nassau County, New York

309

65.5

3.5

(58.6-72.3)

New York County, New York

669

75.6

2.3

(71.0-80.1)

Queens County, New York

452

69.9

2.7

(64.6-75.1)

Suffolk County, New York

365

67.6

3.0

(61.7-73.4)

Westchester County, New York

221

80.4

3.0

(74.5-86.2)

Buncombe County, North Carolina

186

64.6

4.5

(55.7-73.4)

Cabarrus County, North Carolina

186

70.4

4.2

(62.1-78.6)

Catawba County, North Carolina

205

62.9

3.8

(55.4-70.3)

Durham County, North Carolina

362

75.2

2.8

(69.7-80.6)

Gaston County, North Carolina

178

67.9

4.1

(59.8-75.9)

Guilford County, North Carolina

464

73.4

2.4

(68.6-78.1)

Johnston County, North Carolina

159

70.2

3.8

(62.7-77.6)

Mecklenburg County, North Carolina

351

77.2

2.9

(71.5-82.8)

Orange County, North Carolina

173

66.0

4.1

(57.9-74.0)

Randolph County, North Carolina

276

70.7

3.2

(64.4-76.9)

Union County, North Carolina

214

63.4

4.2

(55.1-71.6)

Wake County, North Carolina

383

74.2

3.2

(67.9-80.4)

Burleigh County, North Dakota

362

65.4

2.8

(59.9-70.8)

Cass County, North Dakota

490

74.0

2.2

(69.6-78.3)

Ward County, North Dakota

284

62.4

3.3

(55.9-68.8)

Cuyahoga County, Ohio

466

62.3

2.7

(57.0-67.5)

Franklin County, Ohio

397

66.2

2.7

(60.9-71.4)

Hamilton County, Ohio

461

66.5

2.7

(61.2-71.7)

Lucas County, Ohio

474

63.7

2.7

(58.4-68.9)

Mahoning County, Ohio

519

58.5

2.6

(53.4-63.5)

Montgomery County, Ohio

495

73.3

2.3

(68.7-77.8)

Stark County, Ohio

489

66.5

2.5

(61.6-71.4)

Summit County, Ohio

473

64.0

2.6

(58.9-69.0)

Cleveland County, Oklahoma

260

61.0

3.5

(54.1-67.8)

Oklahoma County, Oklahoma

898

64.6

1.9

(60.8-68.3)

Tulsa County, Oklahoma

947

57.2

2.0

(53.2-61.1)

Clackamas County, Oregon

313

68.8

3.1

(62.7-74.8)

Lane County, Oregon

367

64.3

2.9

(58.6-69.9)

Multnomah County, Oregon

512

70.6

2.4

(65.8-75.3)

Washington County, Oregon

361

67.3

2.9

(61.6-72.9)

Allegheny County, Pennsylvania

931

67.1

1.8

(63.5-70.6)

Lehigh County, Pennsylvania

172

71.3

4.1

(63.2-79.3)

Luzerne County, Pennsylvania

223

61.5

3.8

(54.0-68.9)

Montgomery County, Pennsylvania

214

70.3

3.7

(63.0-77.5)

Northampton County, Pennsylvania

165

66.5

4.5

(57.6-75.3)

Philadelphia County, Pennsylvania

882

69.0

1.9

(65.2-72.7)

Westmoreland County, Pennsylvania

228

65.9

3.9

(58.2-73.5)

Bristol County, Rhode Island

189

79.8

3.3

(73.3-86.2)

Kent County, Rhode Island

603

73.9

2.1

(69.7-78.0)

Newport County, Rhode Island

326

74.6

2.9

(68.9-80.2)

Providence County, Rhode Island

2,606

72.1

1.1

(69.9-74.2)

Washington County, Rhode Island

498

82.5

2.0

(78.5-86.4)

Aiken County, South Carolina

329

66.0

3.2

(59.7-72.2)

Beaufort County, South Carolina

504

72.7

2.5

(67.8-77.6)

Berkeley County, South Carolina

237

NA

NA

NA

Charleston County, South Carolina

460

78.4

2.7

(73.1-83.6)

Greenville County, South Carolina

359

73.0

3.4

(66.3-79.6)

Horry County, South Carolina

390

66.1

2.8

(60.6-71.5)


TABLE 24. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

409

75.0

3.3

(68.5-81.4)

Minnehaha County, South Dakota

392

74.9

2.4

(70.1-79.6)

Pennington County, South Dakota

444

71.8

2.4

(67.0-76.5)

Davidson County, Tennessee

268

60.3

4.2

(52.0-68.5)

Hamilton County, Tennessee

252

66.9

4.5

(58.0-75.7)

Knox County, Tennessee

253

60.1

3.8

(52.6-67.5)

Shelby County, Tennessee

252

61.0

4.1

(52.9-69.0)

Sullivan County, Tennessee

343

63.5

3.3

(57.0-69.9)

Bexar County, Texas

609

70.5

2.6

(65.4-75.5)

Dallas County, Texas

257

60.8

4.2

(52.5-69.0)

El Paso County, Texas

508

51.5

2.6

(46.4-56.5)

Fort Bend County, Texas

524

60.9

2.6

(55.8-65.9)

Harris County, Texas

823

60.2

2.2

(55.8-64.5)

Hidalgo County, Texas

332

54.0

3.5

(47.1-60.8)

Lubbock County, Texas

507

64.2

2.7

(58.9-69.4)

Midland County, Texas

367

56.5

3.1

(50.4-62.5)

Potter County, Texas

204

63.4

3.9

(55.7-71.0)

Randall County, Texas

327

68.6

3.2

(62.3-74.8)

Smith County, Texas

451

75.2

2.5

(70.3-80.1)

Tarrant County, Texas

383

69.5

3.2

(63.2-75.7)

Travis County, Texas

441

72.4

4.3

(63.9-80.8)

Val Verde County, Texas

351

39.5

3.8

(32.0-46.9)

Webb County, Texas

418

37.3

3.3

(30.8-43.7)

Wichita County, Texas

479

64.3

2.8

(58.8-69.7)

Davis County, Utah

442

73.1

2.4

(68.3-77.8)

Salt Lake County, Utah

1,806

71.4

1.2

(69.0-73.7)

Summit County, Utah

263

73.1

2.9

(67.4-78.7)

Tooele County, Utah

262

71.4

3.4

(64.7-78.0)

Utah County, Utah

527

68.5

2.4

(63.7-73.2)

Weber County, Utah

446

71.5

2.5

(66.6-76.4)

Chittenden County, Vermont

905

77.0

1.6

(73.8-80.1)

Franklin County, Vermont

279

71.4

2.9

(65.7-77.0)

Orange County, Vermont

242

68.5

3.4

(61.8-75.1)

Rutland County, Vermont

456

72.3

2.5

(67.4-77.2)

Washington County, Vermont

460

78.4

2.2

(74.0-82.7)

Windsor County, Vermont

471

72.1

2.4

(67.3-76.8)

Benton County, Washington

255

76.4

3.2

(70.1-82.6)

Clark County, Washington

738

73.7

2.0

(69.7-77.6)

Franklin County, Washington

150

NA

NA

NA

King County, Washington

1,989

71.7

1.2

(69.3-74.0)

Kitsap County, Washington

627

72.9

2.0

(68.9-76.8)

Pierce County, Washington

1,111

73.5

1.6

(70.3-76.6)

Snohomish County, Washington

1,043

73.2

1.7

(69.8-76.5)

Spokane County, Washington

817

70.8

1.9

(67.0-74.5)

Thurston County, Washington

501

72.2

2.4

(67.4-76.9)

Yakima County, Washington

492

60.6

2.9

(54.9-66.2)

Kanawha County, West Virginia

365

63.6

2.9

(57.9-69.2)

Milwaukee County, Wisconsin

729

63.7

3.1

(57.6-69.7)

Laramie County, Wyoming

610

64.8

2.3

(60.2-69.3)

Natrona County, Wyoming

517

61.6

2.4

(56.8-66.3)

Median

68.8

Range

37.3-82.5

Abbreviations: SE = standard error; CI = confidence interval.

* Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 25. Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by state/territory–Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

4,875

16.7

0.7

(15.3–18.1)

Alaska

984

10.5

1.5

(7.6–13.4)

Arizona

4,017

16.7

0.9

(14.9–18.6)

Arkansas

2,816

17.3

0.9

(15.6–19.0)

California

9,949

27.0

0.5

(25.9–28.0)

Colorado

6,897

19.2

0.6

(18.0–20.3)

Connecticut

4,201

18.7

0.8

(17.2–20.3)

Delaware

2,743

16.0

0.8

(14.4–17.6)

District of Columbia

2,373

23.7

1.1

(21.4–25.9)

Florida

23,893

21.1

0.6

(20.0–22.2)

Georgia

3,461

21.7

0.9

(20.0–23.5)

Hawaii

4,324

24.7

0.9

(23.0–26.4)

Idaho

4,526

14.2

0.6

(13.0–15.4)

Illinois

3,325

12.4

0.7

(11.0–13.8)

Indiana

6,513

15.8

0.6

(14.7–17.0)

Iowa

3,991

17.4

0.7

(16.1–18.8)

Kansas

5,668

18.4

0.6

(17.3–19.5)

Kentucky

5,197

14.3

0.7

(12.9–15.7)

Louisiana

4,420

19.1

0.7

(17.7–20.5)

Maine

5,379

19.3

0.6

(18.1–20.4)

Maryland

5,414

21.4

0.7

(19.9–22.8)

Massachusetts

9,192

18.3

0.6

(17.1–19.4)

Michigan

6,034

19.0

0.6

(17.8–20.2)

Minnesota

5,269

12.3

0.6

(11.1–13.5)

Mississippi

5,446

16.5

0.6

(15.3–17.7)

Missouri

3,558

13.5

0.8

(11.9–15.1)

Montana

4,901

14.6

0.6

(13.3–15.8)

Nebraska

11,203

15.3

0.5

(14.3–16.3)

Nevada

2,412

17.2

1.1

(15.0–19.4)

New Hampshire

3,933

17.4

0.7

(16.0–18.8)

New Jersey

7,030

17.4

0.6

(16.2–18.7)

New Mexico

4,625

15.8

0.7

(14.5–17.2)

New York

5,496

16.0

0.6

(14.9–17.1)

North Carolina

7,512

21.3

0.7

(20.0–22.6)

North Dakota

3,031

18.1

0.8

(16.6–19.6)

Ohio

6,286

18.7

0.6

(17.5–19.9)

Oklahoma

5,105

15.4

0.6

(14.3–16.6)

Oregon

3,390

17.8

0.7

(16.4–19.3)

Pennsylvania

7,278

15.6

0.5

(14.6–16.6)

Rhode Island

4,181

16.1

0.7

(14.7–17.4)

South Carolina

6,296

15.3

0.7

(14.0–16.7)

South Dakota

4,386

16.8

0.7

(15.4–18.1)

Tennessee

3,781

20.1

0.9

(18.4–21.9)

Texas

11,163

14.9

0.6

(13.7–16.0)

Utah

5,455

8.6

0.5

(7.7–9.6)

Vermont

4,482

15.9

0.6

(14.8–17.1)

Virginia

3,245

18.8

1.0

(16.8–20.9)

Washington

13,184

21.8

0.4

(20.9–22.6)

West Virginia

2,906

19.8

0.8

(18.1–21.4)

Wisconsin

2,924

14.6

0.8

(13.0–16.1)

Wyoming

3,926

12.8

0.6

(11.6–14.0)

Guam

313

8.5

1.5

(5.6–11.4)

Puerto Rico

2,355

9.7

0.7

(8.4–11.1)

Virgin Islands

1,005

13.8

1.3

(11.2–16.4)

Median

16.8

Range

8.5–27.0

Abbreviations: SE = standard error; CI = confidence interval.


TABLE 26. Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample Size

%

SE

(95% CI)

Akron, Ohio

522

20.0

2.1

(15.8–24.1)

Albuquerque, New Mexico

1,418

18.8

1.3

(16.2–21.3)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

676

16.3

1.9

(12.5–20.0)

Amarillo, Texas

543

12.7

1.7

(9.3–16.0)

Arcadia, Florida

363

24.5

3.3

(18.0–30.9)

Asheville, North Carolina

398

22.1

2.3

(17.5–26.6)

Atlanta-Sandy Springs-Marietta, Georgia

1,344

23.3

1.5

(20.3–26.2)

Atlantic City, New Jersey

561

17.6

1.9

(13.8–21.3)

Augusta-Richmond County, Georgia-South Carolina

568

15.9

1.9

(12.1–19.6)

Augusta-Waterville, Maine

432

15.6

1.9

(11.8–19.3)

Austin-Round Rock, Texas

555

14.8

2.4

(10.0–19.5)

Baltimore-Towson, Maryland

1,956

19.9

1.1

(17.7–22.0)

Bangor, Maine

444

19.5

2.0

(15.5–23.4)

Barre, Vermont

449

8.5

1.5

(5.5–11.4)

Baton Rouge, Louisiana

718

18.9

1.8

(15.3–22.4)

Bethesda-Gaithersburg-Frederick, Maryland*

909

25.6

1.8

(22.0–29.1)

Billings, Montana

377

15.0

2.2

(10.6–19.3)

Birmingham-Hoover, Alabama

748

15.6

1.6

(12.4–18.7)

Bismarck, North Dakota

489

14.2

1.7

(10.8–17.5)

Boise City-Nampa, Idaho

1,024

13.9

1.2

(11.5–16.2)

Boston-Quincy, Massachusetts*

1,838

15.4

1.1

(13.2–17.5)

Bremerton-Silverdale, Washington

615

26.4

1.9

(22.6–30.1)

Bridgeport-Stamford-Norwalk, Connecticut

1,301

20.9

1.6

(17.7–24.0)

Buffalo-Cheektowaga-Tonawanda, New York

414

14.9

2.0

(10.9–18.8)

Burlington-South Burlington, Vermont

1,218

13.1

1.0

(11.1–15.0)

Cambridge-Newton-Framingham, Massachusetts*

1,582

18.2

1.4

(15.4–20.9)

Camden, New Jersey*

1,000

14.9

1.4

(12.1–17.6)

Canton-Massillon, Ohio

502

18.4

2.0

(14.4–22.3)

Cape Coral-Fort Myers, Florida

372

21.7

2.3

(17.1–26.2)

Casper, Wyoming

512

12.6

1.5

(9.6–15.5)

Cedar Rapids, Iowa

344

14.6

2.3

(10.0–19.1)

Charleston, West Virginia

536

17.4

1.9

(13.6–21.1)

Charleston-North Charleston, South Carolina

755

16.3

2.0

(12.3–20.2)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,013

19.9

1.5

(16.9–22.8)

Chattanooga, Tennessee-Georgia

341

20.3

2.8

(14.8–25.7)

Cheyenne, Wyoming

602

14.7

1.7

(11.3–18.0)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

3,088

12.6

0.8

(11.0–14.1)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,151

13.0

1.3

(10.4–15.5)

Cleveland-Elyria-Mentor, Ohio

718

18.9

1.6

(15.7–22.0)

Coeur d´Alene, Idaho

408

21.0

2.2

(16.6–25.3)

Colorado Springs, Colorado

654

13.4

1.6

(10.2–16.5)

Columbia, South Carolina

714

14.8

1.9

(11.0–18.5)

Columbus, Ohio

808

19.9

1.6

(16.7–23.0)

Concord, New Hampshire

424

20.4

2.1

(16.2–24.5)

Dallas-Plano-Irving, Texas*

431

14.4

1.9

(10.6–18.1)

Dayton, Ohio

566

23.1

2.3

(18.5–27.6)

Del Rio, Texas

350

13.0

2.2

(8.6–17.3)

Deltona-Daytona Beach-Ormond Beach, Florida

643

25.4

2.2

(21.0–29.7)

Denver-Aurora, Colorado

2,725

23.9

0.9

(22.1–25.6)

Des Moines-West Des Moines, Iowa

624

18.3

1.6

(15.1–21.4)

Detroit-Livonia-Dearborn, Michigan*

1,299

17.4

1.4

(14.6–20.1)

Dover, Delaware

755

17.5

1.6

(14.3–20.6)

Durham, North Carolina

602

22.2

2.1

(18.0–26.3)

Edison, New Jersey*

1,288

19.4

1.4

(16.6–22.1)

El Paso, Texas

506

15.7

2.0

(11.7–19.6)

Eugene-Springfield, Oregon

350

10.9

1.7

(7.5–14.2)

Evansville, Indiana-Kentucky

357

18.8

2.4

(14.0–23.5)

Fargo, North Dakota-Minnesota

515

27.3

3.8

(19.8–34.7)

Farmington, New Mexico

436

10.9

1.8

(7.3–14.4)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

448

25.3

3.0

(19.4–31.1)

Fort Collins-Loveland, Colorado

351

15.3

2.1

(11.1–19.4)

Fort Wayne, Indiana

460

14.1

1.7

(10.7–17.4)

Fort Worth-Arlington, Texas*

470

17.9

2.3

(13.3–22.4)


TABLE 26. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample Size

%

SE

(95% CI)

Gainesville, Florida

632

18.7

2.3

(14.1–23.2)

Grand Island, Nebraska

602

20.0

1.8

(16.4–23.5)

Grand Rapids-Wyoming, Michigan

406

17.4

2.2

(13.0–21.7)

Greensboro-High Point, North Carolina

770

26.7

2.1

(22.5–30.8)

Greenville, South Carolina

545

14.9

2.2

(10.5–19.2)

Hagerstown-Martinsburg, Maryland-West Virginia

413

16.2

2.1

(12.0–20.3)

Hartford-West Hartford-East Hartford, Connecticut

1,298

19.8

1.3

(17.2–22.3)

Hastings, Nebraska

408

23.2

2.3

(18.6–27.7)

Helena, Montana

461

23.5

2.1

(19.3–27.6)

Hickory-Morganton-Lenoir, North Carolina

387

20.0

2.2

(15.6–24.3)

Hilo, Hawaii

992

18.1

1.4

(15.3–20.8)

Hilton Head Island-Beaufort, South Carolina

581

11.9

1.4

(9.1–14.6)

Homosassa Springs, Florida

413

24.4

2.5

(19.5–29.3)

Honolulu, Hawaii

1,896

26.4

1.2

(24.0–28.7)

Houston-Sugar Land-Baytown, Texas

1,555

13.4

1.2

(11.0–15.7)

Huntington-Ashland, West Virginia-Kentucky-Ohio

437

16.6

2.3

(12.0–21.1)

Idaho Falls, Idaho

390

8.0

1.4

(5.2–10.7)

Indianapolis-Carmel, Indiana

1,378

14.3

1.2

(11.9–16.6)

Jackson, Mississippi

505

17.9

1.9

(14.1–21.6)

Jacksonville, Florida

1,639

15.8

1.4

(13.0–18.5)

Kahului-Wailuku, Hawaii

979

29.7

1.9

(25.9–33.4)

Kalispell, Montana

466

9.5

1.4

(6.7–12.2)

Kansas City, Missouri-Kansas

2,147

16.1

1.1

(13.9–18.2)

Kapaa, Hawaii

457

16.5

2.1

(12.3–20.6)

Kennewick-Richland-Pasco, Washington

396

19.8

2.3

(15.2–24.3)

Key West-Marathon, Florida

384

15.7

2.1

(11.5–19.8)

Kingsport-Bristol, Tennessee-Virginia

473

28.1

4.0

(20.2–35.9)

Knoxville, Tennessee

354

26.3

2.8

(20.8–31.7)

Lake City, Florida

351

24.7

3.2

(18.4–30.9)

Lakeland-Winter Haven, Florida

355

16.6

2.2

(12.2–20.9)

Laredo, Texas

419

7.1

1.3

(4.5–9.6)

Las Cruces, New Mexico

334

12.9

2.2

(8.5–17.2)

Las Vegas-Paradise, Nevada

737

17.8

1.6

(14.6–20.9)

Lebanon, New Hampshire-Vermont

1,031

22.0

1.4

(19.2–24.7)

Lewiston, Idaho-Washington

431

15.1

1.9

(11.3–18.8)

Lewiston-Auburn, Maine

311

25.5

2.7

(20.2–30.7)

Lincoln, Nebraska

752

14.1

1.4

(11.3–16.8)

Little Rock-North Little Rock, Arkansas

581

13.5

1.7

(10.1–16.8)

Los Angeles-Long Beach-Glendale, California*

1,302

22.9

1.4

(20.1–25.6)

Louisville, Kentucky-Indiana

574

16.3

1.9

(12.5–20.0)

Lubbock, Texas

514

11.8

1.6

(8.6–14.9)

Manchester-Nashua, New Hampshire

867

14.2

1.3

(11.6–16.7)

McAllen-Edinburg-Mission, Texas

329

10.8

1.9

(7.0–14.5)

Memphis, Tennessee-Mississippi-Arkansas

732

18.3

2.1

(14.1–22.4)

Miami-Fort Lauderdale-Miami Beach, Florida

646

17.4

1.8

(13.8–20.9)

Midland, Texas

368

19.4

2.5

(14.5–24.3)

Milwaukee-Waukesha-West Allis, Wisconsin

906

11.9

1.6

(8.7–15.0)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

2,659

11.3

0.8

(9.7–12.8)

Minot, North Dakota

339

12.9

2.0

(8.9–16.8)

Mobile, Alabama

436

19.7

2.5

(14.8–24.6)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

385

19.2

2.3

(14.6–23.7)

Naples-Marco Island, Florida

411

21.1

2.4

(16.3–25.8)

Nashville-Davidson-Murfreesboro, Tennessee

514

15.8

2.2

(11.4–20.1)

Nassau-Suffolk, New York*

654

15.9

1.6

(12.7–19.0)

Newark-Union, New Jersey-Pennsylvania*

1,828

17.6

1.2

(15.2–19.9)

New Haven-Milford, Connecticut

1,038

19.0

1.7

(15.6–22.3)

New Orleans-Metairie-Kenner, Louisiana

970

17.9

1.5

(14.9–20.8)

New York-White Plains-Wayne, New York-New Jersey*

3,387

15.5

0.8

(13.9–17.0)

Norfolk, Nebraska

466

17.3

2.7

(12.0–22.5)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

416

881

8.3

22.5

1.9

1.6

(4.5–12.0)

(19.3–25.6)

Ocala, Florida

437

24.4

2.3

(19.8–28.9)

Ocean City, New Jersey

361

18.9

2.4

(14.1–23.6)


TABLE 26. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample Size

%

SE

(95% CI)

Ogden-Clearfield, Utah

908

9.5

1.1

(7.3–11.6)

Oklahoma City, Oklahoma

1,529

13.7

1.0

(11.7–15.6)

Olympia, Washington

489

27.7

2.3

(23.1–32.2)

Omaha-Council Bluffs, Nebraska-Iowa

1,391

14.1

1.1

(11.9–16.2)

Orlando-Kissimmee, Florida

1,642

21.8

1.4

(19.0–24.5)

Palm Bay-Melbourne-Titusville, Florida

358

26.3

2.7

(21.0–31.5)

Panama City-Lynn Haven, Florida

Peabody, Massachusetts

347

1,175

15.3

18.8

2.3

1.7

(10.7–19.8)

(15.1–22.1)

Pensacola-Ferry Pass-Brent, Florida

650

14.7

1.7

(11.3–18.0)

Philadelphia, Pennsylvania*

1,468

13.9

1.2

(11.5–16.2)

Phoenix-Mesa-Scottsdale, Arizona

1,120

17.8

1.3

(15.2–20.3)

Pittsburgh, Pennsylvania

1,633

13.3

1.0

(11.3–15.2)

Portland-South Portland-Biddeford, Maine

1,721

16.5

1.0

(14.5–18.4)

Portland-Vancouver-Beaverton, Oregon-Washington

2,201

22.0

1.1

(19.8–24.1)

Port St. Lucie-Fort Pierce, Florida

743

20.7

1.7

(17.3–24.0)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

5,859

16.4

0.6

(15.2–17.5)

Provo-Orem, Utah

556

6.7

1.2

(4.3–9.0)

Raleigh-Cary, North Carolina

557

16.9

1.9

(13.1–20.6)

Rapid City, South Dakota

552

19.6

1.9

(15.8–23.3)

Reno-Sparks, Nevada

815

14.0

1.4

(11.2–16.7)

Richmond, Virginia

490

16.3

2.1

(12.1–20.4)

Riverside-San Bernardino-Ontario, California

1,004

31.6

1.7

(28.2–34.9)

Rochester, New York

395

19.9

2.2

(15.5–24.2)

Rockingham County-Strafford County, New Hampshire*

1,011

16.4

1.3

(13.8–18.9)

Rutland, Vermont

449

10.6

1.5

(7.6–13.5)

Sacramento-Arden-Arcade-Roseville, California

790

32.2

2.0

(28.2–36.1)

St. Louis, Missouri-Illinois

1,084

10.8

1.4

(8.0–13.5)

Salt Lake City, Utah

2,289

8.9

0.7

(7.5–10.2)

San Antonio, Texas

708

13.9

1.8

(10.3–17.4)

San Diego-Carlsbad-San Marcos, California

968

33.5

1.8

(29.9–37.0)

San Francisco-Oakland-Fremont, California

1,352

34.5

1.7

(31.1–37.8)

San Jose-Sunnyvale-Santa Clara, California

483

33.8

3.0

(27.9–39.6)

Santa Ana-Anaheim-Irvine, California*

816

24.4

1.8

(20.8–27.9)

Santa Fe, New Mexico

442

12.3

1.7

(8.9–15.6)

Scottsbluff, Nebraska

579

13.3

1.7

(9.9–16.6)

Scranton-Wilkes-Barre, Pennsylvania

389

15.2

2.0

(11.2–19.1)

Seaford, Delaware

917

23.8

1.6

(20.6–26.9)

Seattle-Bellevue-Everett, Washington*

2,965

20.9

0.9

(19.1–22.6)

Sebring, Florida

409

22.1

3.3

(15.6–28.5)

Shreveport-Bossier City, Louisiana

435

15.6

1.9

(11.8–19.3)

Sioux City, Iowa-Nebraska-South Dakota

745

11.2

2.1

(7.0–15.3)

Sioux Falls, South Dakota

531

11.1

1.5

(8.1–14.0)

Spokane, Washington

804

22.0

1.6

(18.8–25.1)

Springfield, Massachusetts

1,223

17.8

1.6

(14.6–20.9)

Tacoma, Washington*

1,092

20.2

1.6

(17.0–23.3)

Tallahassee, Florida

1,295

51.3

2.4

(46.5–56.0)

Tampa-St. Petersburg-Clearwater, Florida

1,438

25.8

1.6

(22.6–28.9)

Toledo, Ohio

553

12.9

1.7

(9.5–16.2)

Topeka, Kansas

556

17.7

1.8

(14.1–21.2)

Trenton-Ewing, New Jersey

289

18.0

2.8

(12.5–23.4)

Tucson, Arizona

512

18.0

1.9

(14.2–21.7)

Tulsa, Oklahoma

1,369

19.8

1.3

(17.2–22.3)

Tuscaloosa, Alabama

306

18.4

2.5

(13.5–23.3)

Twin Falls, Idaho

380

15.3

2.2

(10.9–19.6)

Tyler, Texas

441

20.3

3.0

(14.4–26.1)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

632

13.4

1.6

(10.2–16.5)

Warren-Troy-Farmington Hills, Michigan*

1,233

19.5

1.4

(16.7–22.2)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia*

3,685

22.9

1.7

(19.5–26.2)

Wauchula, Florida

345

18.1

2.3

(13.5–22.6)

West Palm Beach-Boca Raton-Boynton Beach, Florida*

405

26.1

2.6

(21.0–31.1)

Wichita, Kansas

1,215

20.1

1.3

(17.5–22.6)

Wichita Falls, Texas

579

13.1

1.7

(9.7–16.4)

Wilmington, Delaware-Maryland-New Jersey*

1,345

13.3

1.1

(11.1–15.4)


TABLE 26. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample Size

%

SE

(95% CI)

Worcester, Massachusetts

1,189

23.6

1.7

(20.2–26.9)

Yakima, Washington

489

17.2

1.8

(13.6–20.7)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

743

21.1

2.6

(16.0–26.1)

Median

17.6

Range

6.7-51.3

Abbreviations: SE = standard error; CI = confidence interval.

* Metropolitan division.


TABLE 27. Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

369

16.4

2.2

(12.0–20.7)

Mobile County, Alabama

436

19.7

2.5

(14.8–24.6)

Tuscaloosa County, Alabama

247

18.3

2.7

(13.0–23.5)

Maricopa County, Arizona

848

17.9

1.4

(15.1–20.6)

Pima County, Arizona

512

18.0

1.9

(14.2–21.7)

Pinal County, Arizona

272

17.8

2.7

(12.5–23.0)

Benton County, Arkansas

225

32.3

4.3

(23.8–40.7)

Pulaski County, Arkansas

397

16.8

2.6

(11.7–21.8)

Washington County, Arkansas

198

18.7

3.9

(11.0–26.3)

Alameda County, California

400

34.2

3.1

(28.1–40.2)

Contra Costa County, California

405

38.4

3.0

(32.5–44.2)

Los Angeles County, California

1,302

22.9

1.4

(20.1–25.6)

Orange County, California

816

24.4

1.8

(20.8–27.9)

Placer County, California

158

31.0

4.8

(21.5–40.4)

Riverside County, California

504

32.3

2.4

(27.5–37.0)

Sacramento County, California

448

34.7

2.7

(29.4–39.9)

San Bernardino County, California

500

30.5

2.4

(25.7–35.2)

San Diego County, California

968

33.5

1.8

(29.9–37.0)

San Francisco County, California

208

29.5

3.6

(22.4–36.5)

San Mateo County, California

209

36.8

4.0

(28.9–44.6)

Santa Clara County, California

463

35.4

3.2

(29.1–41.6)

Adams County, Colorado

433

22.3

2.2

(17.9–26.6)

Arapahoe County, Colorado

492

20.7

2.0

(16.7–24.6)

Denver County, Colorado

516

23.6

2.2

(19.2–27.9)

Douglas County, Colorado

263

19.4

2.6

(14.3–24.4)

El Paso County, Colorado

569

13.5

1.6

(10.3–16.6)

Jefferson County, Colorado

706

28.5

1.9

(24.7–32.2)

Larimer County, Colorado

351

15.3

2.1

(11.1–19.4)

Fairfield County, Connecticut

1,301

20.9

1.6

(17.7–24.0)

Hartford County, Connecticut

962

19.9

1.6

(16.7–23.0)

Middlesex County, Connecticut

169

19.7

3.2

(13.4–25.9)

New Haven County, Connecticut

1,038

19.0

1.7

(15.6–22.3)

Tolland County, Connecticut

167

20.5

3.4

(13.8–27.1)

Kent County, Delaware

755

17.5

1.6

(14.3–20.6)

New Castle County, Delaware

1,071

12.0

1.1

(9.8–14.1)

Sussex County, Delaware

917

23.8

1.6

(20.6–26.9)

District of Columbia, District of Columbia

2,373

24.6

1.1

(22.4–26.7)

Alachua County, Florida

345

18.7

2.4

(13.9–23.4)

Baker County, Florida

317

20.4

3.5

(13.5–27.2)

Bay County, Florida

347

15.3

2.3

(10.7–19.8)

Brevard County, Florida

358

26.3

2.7

(21.0–31.5)

Broward County, Florida

343

18.2

2.4

(13.4–22.9)

Citrus County, Florida

413

24.4

2.5

(19.5–29.3)

Clay County, Florida

293

16.9

2.4

(12.1–21.6)

Collier County, Florida

411

21.1

2.4

(16.3–25.8)

Columbia County, Florida

351

24.7

3.2

(18.4–30.9)

DeSoto County, Florida

363

24.5

3.3

(18.0–30.9)

Duval County, Florida

339

14.7

2.1

(10.5–18.8)

Escambia County, Florida

344

15.7

2.3

(11.1–20.2)

Gadsden County, Florida

343

42.2

3.4

(35.5–48.8)

Gilchrist County, Florida

287

15.1

2.8

(9.6–20.5)

Hardee County, Florida

345

18.1

2.3

(13.5–22.6)

Hernando County, Florida

358

22.5

2.5

(17.6–27.4)

Highlands County, Florida

409

22.1

3.3

(15.6–28.5)

Hillsborough County, Florida

331

24.0

2.8

(18.5–29.4)

Jefferson County, Florida

340

38.6

4.0

(30.7–46.4)

Lake County, Florida

444

27.0

2.4

(22.2–31.7)

Lee County, Florida

372

21.7

2.3

(17.1–26.2)

Leon County, Florida

303

57.2

3.3

(50.7–63.6)

Manatee County, Florida

392

22.2

2.3

(17.6–26.7)

Marion County, Florida

437

24.4

2.3

(19.8–28.9)

Martin County, Florida

401

20.3

2.4

(15.5–25.0)

Miami-Dade County, Florida

303

16.9

2.6

(11.8–21.9)


TABLE 27. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

384

15.7

2.1

(11.5–19.8)

Nassau County, Florida

346

13.6

2.0

(9.6–17.5)

Orange County, Florida

543

19.9

2.1

(15.7–24.0)

Osceola County, Florida

353

18.1

2.9

(12.4–23.7)

Palm Beach County, Florida

405

26.1

2.6

(21.0–31.1)

Pasco County, Florida

379

30.7

2.7

(25.4–35.9)

Pinellas County, Florida

370

25.0

2.6

(19.9–30.0)

Polk County, Florida

355

16.6

2.2

(12.2–20.9)

St. Johns County, Florida

344

19.8

2.5

(14.9–24.7)

St. Lucie County, Florida

342

20.7

2.5

(15.8–25.6)

Santa Rosa County, Florida

306

13.2

2.1

(9.0–17.3)

Sarasota County, Florida

489

22.7

2.2

(18.3–27.0)

Seminole County, Florida

302

21.1

2.7

(15.8–26.3)

Volusia County, Florida

643

25.4

2.2

(21.0–29.7)

Wakulla County, Florida

309

40.7

4.1

(32.6–48.7)

Cobb County, Georgia

155

11.6

2.6

(6.5–16.6)

DeKalb County, Georgia

196

33.5

4.3

(25.0–41.9)

Fulton County, Georgia

190

26.5

3.9

(18.8–34.1)

Gwinnett County, Georgia

131

17.6

3.6

(10.5–24.6)

Hawaii County, Hawaii

992

18.1

1.4

(15.3–20.8)

Honolulu County, Hawaii

1,896

26.4

1.2

(24.0–28.7)

Kauai County, Hawaii

457

16.5

2.1

(12.3–20.6)

Maui County, Hawaii

979

29.7

1.9

(25.9–33.4)

Ada County, Idaho

534

13.8

1.7

(10.4–17.1)

Bonneville County, Idaho

300

9.8

1.8

(6.2–13.3)

Canyon County, Idaho

370

14.9

2.0

(10.9–18.8)

Kootenai County, Idaho

408

21.0

2.2

(16.6–25.3)

Nez Perce County, Idaho

258

17.0

2.5

(12.1–21.9)

Twin Falls County, Idaho

301

16.8

2.6

(11.7–21.8)

Cook County, Illinois

1,793

13.4

1.0

(11.4–15.3)

DuPage County, Illinois

152

7.5

2.2

(3.1–11.8)

Allen County, Indiana

374

14.4

2.0

(10.4–18.3)

Lake County, Indiana

625

10.2

1.9

(6.4–13.9)

Marion County, Indiana

935

15.8

1.7

(12.4–19.1)

Linn County, Iowa

300

13.9

2.2

(9.5–18.2)

Polk County, Iowa

470

17.8

1.8

(14.2–21.3)

Johnson County, Kansas

856

19.3

1.4

(16.5–22.0)

Sedgwick County, Kansas

941

19.4

1.4

(16.6–22.1)

Shawnee County, Kansas

424

17.8

2.1

(13.6–21.9)

Wyandotte County, Kansas

407

15.3

2.5

(10.4–20.2)

Jefferson County, Kentucky

265

15.2

2.6

(10.1–20.2)

Caddo Parish, Louisiana

287

16.4

2.4

(11.6–21.1)

East Baton Rouge Parish, Louisiana

437

18.8

2.2

(14.4–23.1)

Jefferson Parish, Louisiana

393

19.9

2.3

(15.3–24.4)

Orleans Parish, Louisiana

242

20.7

3.6

(13.6–27.7)

St. Tammany Parish, Louisiana

224

10.7

2.2

(6.3–15.0)

Androscoggin County, Maine

311

25.5

2.7

(20.2–30.7)

Cumberland County, Maine

908

15.5

1.3

(12.9–18.0)

Kennebec County, Maine

432

15.6

1.9

(11.8–19.3)

Penobscot County, Maine

444

19.5

2.0

(15.5–23.4)

Sagadahoc County, Maine

199

16.5

2.8

(11.0–21.9)

York County, Maine

614

17.8

1.7

(14.4–21.1)

Anne Arundel County, Maryland

349

18.3

2.5

(13.4–23.2)

Baltimore County, Maryland

638

20.4

1.8

(16.8–23.9)

Cecil County, Maryland

160

19.3

3.6

(12.2–26.3)

Charles County, Maryland

171

12.8

3.0

(6.9–18.6)

Frederick County, Maryland

311

23.4

2.8

(17.9–28.8)

Harford County, Maryland

154

16.9

3.2

(10.6–23.1)

Howard County, Maryland

174

22.6

3.8

(15.1–30.0)

Montgomery County, Maryland

598

26.3

2.1

(22.1–30.4)

Prince George´s County, Maryland

418

25.1

2.5

(20.2–30.0)

Queen Anne´s County, Maryland

187

21.3

3.4

(14.6–27.9)

Washington County, Maryland

263

13.0

2.2

(8.6–17.3)


TABLE 27. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

314

23.1

2.8

(17.6–28.5)

Bristol County, Massachusetts

1,678

17.3

1.4

(14.5–20.0)

Essex County, Massachusetts

1,175

18.9

1.7

(15.5–22.2)

Hampden County, Massachusetts

944

17.4

2.0

(13.4–21.3)

Hampshire County, Massachusetts

172

17.2

3.3

(10.7–23.6)

Middlesex County, Massachusetts

1,582

17.7

1.3

(15.1–20.2)

Norfolk County, Massachusetts

493

15.2

1.7

(11.8–18.5)

Plymouth County, Massachusetts

413

14.1

1.9

(10.3–17.8)

Suffolk County, Massachusetts

932

18.3

1.9

(14.5–22.0)

Worcester County, Massachusetts

1,189

23.6

1.7

(20.2–26.9)

Kent County, Michigan

288

18.0

2.8

(12.5–23.4)

Macomb County, Michigan

342

15.4

2.2

(11.0–19.7)

Oakland County, Michigan

653

23.0

2.1

(18.8–27.1)

Wayne County, Michigan

1,299

17.4

1.4

(14.6–20.1)

Anoka County, Minnesota

200

9.6

2.5

(4.7–14.5)

Dakota County, Minnesota

291

8.7

1.8

(5.1–12.2)

Hennepin County, Minnesota

1,144

10.8

1.3

(8.2–13.3)

Ramsey County, Minnesota

553

15.5

2.6

(10.4–20.5)

Washington County, Minnesota

125

10.0

3.3

(3.5–16.4)

DeSoto County, Mississippi

249

17.8

2.9

(12.1–23.4)

Hinds County, Mississippi

218

19.3

3.1

(13.2–25.3)

Jackson County, Missouri

337

16.2

2.3

(11.6–20.7)

St. Louis County, Missouri

378

11.4

2.9

(5.7–17.0)

St. Louis city, Missouri

389

13.7

3.6

(6.6–20.7)

Flathead County, Montana

466

9.5

1.4

(6.7–12.2)

Lewis and Clark County, Montana

379

26.1

2.5

(21.2–31.0)

Yellowstone County, Montana

342

14.9

2.3

(10.3–19.4)

Adams County, Nebraska

329

24.7

2.6

(19.6–29.7)

Dakota County, Nebraska

448

10.2

1.5

(7.2–13.1)

Douglas County, Nebraska

584

13.4

1.5

(10.4–16.3)

Hall County, Nebraska

404

19.2

2.2

(14.8–23.5)

Lancaster County, Nebraska

549

14.6

1.5

(11.6–17.5)

Lincoln County, Nebraska

395

8.4

1.9

(4.6–12.1)

Madison County, Nebraska

326

18.3

3.3

(11.8–24.7)

Sarpy County, Nebraska

325

16.7

2.6

(11.6–21.7)

Scotts Bluff County, Nebraska

558

12.4

1.6

(9.2–15.5)

Seward County, Nebraska

203

8.3

1.9

(4.5–12.0)

Clark County, Nevada

737

17.8

1.6

(14.6–20.9)

Washoe County, Nevada

801

13.7

1.4

(10.9–16.4)

Grafton County, New Hampshire

333

25.6

2.7

(20.3–30.8)

Hillsborough County, New Hampshire

867

14.2

1.3

(11.6–16.7)

Merrimack County, New Hampshire

424

20.4

2.1

(16.2–24.5)

Rockingham County, New Hampshire

641

15.8

1.6

(12.6–18.9)

Strafford County, New Hampshire

370

17.7

2.2

(13.3–22.0)

Atlantic County, New Jersey

561

17.6

1.9

(13.8–21.3)

Bergen County, New Jersey

351

17.3

2.8

(11.8–22.7)

Burlington County, New Jersey

340

17.3

2.4

(12.5–22.0)

Camden County, New Jersey

357

13.7

2.1

(9.5–17.8)

Cape May County, New Jersey

361

18.9

2.4

(14.1–23.6)

Essex County, New Jersey

527

18.6

2.2

(14.2–22.9)

Gloucester County, New Jersey

303

10.6

2.0

(6.6–14.5)

Hudson County, New Jersey

513

11.1

1.7

(7.7–14.4)

Hunterdon County, New Jersey

299

21.1

3.0

(15.2–26.9)

Mercer County, New Jersey

289

18.0

2.8

(12.5–23.4)

Middlesex County, New Jersey

332

17.4

2.6

(12.3–22.4)

Monmouth County, New Jersey

332

17.7

2.4

(12.9–22.4)

Morris County, New Jersey

392

15.4

2.1

(11.2–19.5)

Ocean County, New Jersey

342

20.7

2.6

(15.6–25.7)

Passaic County, New Jersey

268

16.0

2.7

(10.7–21.2)

Somerset County, New Jersey

282

26.2

3.1

(20.1–32.2)

Sussex County, New Jersey

297

13.8

2.2

(9.4–18.1)

Union County, New Jersey

274

22.5

3.1

(16.4–28.5)

Warren County, New Jersey

294

10.7

2.0

(6.7–14.6)


TABLE 27. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

814

18.2

1.6

(15.0–21.3)

Dona Ana County, New Mexico

334

12.9

2.2

(8.5–17.2)

Sandoval County, New Mexico

335

15.9

2.5

(11.0–20.8)

San Juan County, New Mexico

436

10.9

1.8

(7.3–14.4)

Santa Fe County, New Mexico

442

12.3

1.7

(8.9–15.6)

Valencia County, New Mexico

234

27.3

3.8

(19.8–34.7)

Bronx County, New York

227

14.6

2.6

(9.5–19.6)

Erie County, New York

330

14.6

2.3

(10.0–19.1)

Kings County, New York

468

13.7

1.9

(9.9–17.4)

Monroe County, New York

264

19.0

2.7

(13.7–24.2)

Nassau County, New York

299

16.3

2.4

(11.5–21.0)

New York County, New York

656

13.1

1.5

(10.1–16.0)

Queens County, New York

446

15.5

2.0

(11.5–19.4)

Suffolk County, New York

355

15.4

2.2

(11.0–19.7)

Westchester County, New York

220

21.3

3.2

(15.0–27.5)

Buncombe County, North Carolina

182

23.2

3.5

(16.3–30.0)

Cabarrus County, North Carolina

183

19.5

3.4

(12.8–26.1)

Catawba County, North Carolina

203

24.9

3.3

(18.4–31.3)

Durham County, North Carolina

356

26.3

2.6

(21.2–31.3)

Gaston County, North Carolina

167

23.1

3.7

(15.8–30.3)

Guilford County, North Carolina

455

30.0

2.4

(25.2–34.7)

Johnston County, North Carolina

157

18.1

3.6

(11.0–25.1)

Mecklenburg County, North Carolina

344

23.3

2.6

(18.2–28.3)

Orange County, North Carolina

170

25.4

3.7

(18.1–32.6)

Randolph County, North Carolina

263

22.4

3.1

(16.3–28.4)

Union County, North Carolina

209

20.2

3.0

(14.3–26.0)

Wake County, North Carolina

374

16.5

2.2

(12.1–20.8)

Burleigh County, North Dakota

357

11.6

1.8

(8.0–15.1)

Cass County, North Dakota

483

23.0

2.1

(18.8–27.1)

Ward County, North Dakota

282

11.8

2.1

(7.6–15.9)

Cuyahoga County, Ohio

455

19.4

2.1

(15.2–23.5)

Franklin County, Ohio

391

17.1

2.1

(12.9–21.2)

Hamilton County, Ohio

454

11.0

1.6

(7.8–14.1)

Lucas County, Ohio

465

13.7

1.8

(10.1–17.2)

Mahoning County, Ohio

518

18.0

2.2

(13.6–22.3)

Montgomery County, Ohio

478

22.7

2.3

(18.1–27.2)

Stark County, Ohio

483

17.0

1.9

(13.2–20.7)

Summit County, Ohio

465

17.1

1.9

(13.3–20.8)

Cleveland County, Oklahoma

252

13.7

2.5

(8.8–18.6)

Oklahoma County, Oklahoma

895

14.4

1.3

(11.8–16.9)

Tulsa County, Oklahoma

936

19.5

1.4

(16.7–22.2)

Clackamas County, Oregon

307

20.7

2.7

(15.4–25.9)

Lane County, Oregon

350

10.9

1.7

(7.5–14.2)

Multnomah County, Oregon

500

20.2

2.0

(16.2–24.1)

Washington County, Oregon

348

20.2

2.5

(15.3–25.1)

Allegheny County, Pennsylvania

928

12.4

1.2

(10.0–14.7)

Lehigh County, Pennsylvania

171

23.7

3.9

(16.0–31.3)

Luzerne County, Pennsylvania

222

16.2

2.8

(10.7–21.6)

Montgomery County, Pennsylvania

212

17.8

2.9

(12.1–23.4)

Northampton County, Pennsylvania

165

13.3

3.2

(7.0–19.5)

Philadelphia County, Pennsylvania

877

13.3

1.5

(10.3–16.2)

Westmoreland County, Pennsylvania

221

16.9

3.1

(10.8–22.9)

Bristol County, Rhode Island

188

18.2

3.1

(12.1–24.2)

Kent County, Rhode Island

596

14.8

1.7

(11.4–18.1)

Newport County, Rhode Island

322

15.6

2.3

(11.0–20.1)

Providence County, Rhode Island

2,584

16.6

0.9

(14.8–18.3)

Washington County, Rhode Island

491

15.2

1.8

(11.6–18.7)

Aiken County, South Carolina

325

12.9

1.8

(9.3–16.4)

Beaufort County, South Carolina

498

12.4

1.5

(9.4–15.3)

Berkeley County, South Carolina

231

12.3

3.2

(6.0–18.5)

Charleston County, South Carolina

455

21.7

3.5

(14.8–28.5)

Greenville County, South Carolina

351

13.5

2.5

(8.6–18.4)

Horry County, South Carolina

385

19.2

2.3

(14.6–23.7)


TABLE 27. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

407

11.7

2.2

(7.3–16.0)

Minnehaha County, South Dakota

386

11.1

1.7

(7.7–14.4)

Pennington County, South Dakota

436

19.5

2.1

(15.3–23.6)

Davidson County, Tennessee

262

12.6

2.5

(7.7–17.5)

Hamilton County, Tennessee

246

24.0

3.6

(16.9–31.0)

Knox County, Tennessee

252

26.1

3.3

(19.6–32.5)

Shelby County, Tennessee

243

17.8

3.2

(11.5–24.0)

Sullivan County, Tennessee

336

20.8

2.5

(15.9–25.7)

Bexar County, Texas

604

15.9

1.8

(12.3–19.4)

Dallas County, Texas

257

18.0

3.0

(12.1–23.8)

El Paso County, Texas

506

15.7

2.0

(11.7–19.6)

Fort Bend County, Texas

523

8.1

1.2

(5.7–10.4)

Harris County, Texas

811

14.6

1.4

(11.8–17.3)

Hidalgo County, Texas

329

10.8

1.9

(7.0–14.5)

Lubbock County, Texas

499

11.5

1.6

(8.3–14.6)

Midland County, Texas

368

19.4

2.5

(14.5–24.3)

Potter County, Texas

199

13.3

2.8

(7.8–18.7)

Randall County, Texas

322

12.0

2.3

(7.4–16.5)

Smith County, Texas

441

20.3

3.0

(14.4–26.1)

Tarrant County, Texas

378

18.0

2.6

(12.9–23.0)

Travis County, Texas

429

17.1

3.6

(10.0–24.1)

Val Verde County, Texas

350

13.0

2.2

(8.6–17.3)

Webb County, Texas

419

7.1

1.3

(4.5–9.6)

Wichita County, Texas

471

14.8

2.1

(10.6–18.9)

Davis County, Utah

438

8.9

1.6

(5.7–12.0)

Salt Lake County, Utah

1,771

9.0

0.7

(7.6–10.3)

Summit County, Utah

258

8.3

1.8

(4.7–11.8)

Tooele County, Utah

260

8.4

1.8

(4.8–11.9)

Utah County, Utah

524

6.8

1.2

(4.4–9.1)

Weber County, Utah

445

10.0

1.6

(6.8–13.1)

Chittenden County, Vermont

886

9.7

1.0

(7.7–11.6)

Franklin County, Vermont

276

22.6

2.7

(17.3–27.8)

Orange County, Vermont

237

23.3

3.0

(17.4–29.1)

Rutland County, Vermont

449

10.6

1.5

(7.6–13.5)

Washington County, Vermont

449

8.5

1.5

(5.5–11.4)

Windsor County, Vermont

461

17.9

2.0

(13.9–21.8)

Benton County, Washington

250

20.5

2.8

(15.0–25.9)

Clark County, Washington

728

30.7

2.0

(26.7–34.6)

Franklin County, Washington

146

18.1

4.0

(10.2–25.9)

King County, Washington

1,949

21.8

1.0

(19.8–23.7)

Kitsap County, Washington

615

26.4

1.9

(22.6–30.1)

Pierce County, Washington

1,092

19.4

1.4

(16.6–22.1)

Snohomish County, Washington

1,016

18.4

1.5

(15.4–21.3)

Spokane County, Washington

804

22.0

1.6

(18.8–25.1)

Thurston County, Washington

489

27.7

2.3

(23.1–32.2)

Yakima County, Washington

489

17.2

1.8

(13.6–20.7)

Kanawha County, West Virginia

361

19.3

2.4

(14.5–24.0)

Milwaukee County, Wisconsin

723

10.8

2.0

(6.8–14.7)

Laramie County, Wyoming

602

14.7

1.7

(11.3–18.0)

Natrona County, Wyoming

512

12.6

1.5

(9.6–15.5)

Median

17.8

Range

6.8-57.2

Abbreviations: SE = standard error; CI = confidence interval.


TABLE 28. Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

2,820

83.2

0.9

(81.4–85.1)

Alaska

827

81.1

2.4

(76.4–85.7)

Arizona

2,235

81.9

1.4

(79.1–84.6)

Arkansas

1,374

74.8

2.0

(70.9–78.7)

California

7,436

80.8

0.7

(79.4–82.2)

Colorado

4,455

79.8

1.1

(77.7–82.0)

Connecticut

3,106

85.6

1.1

(83.5–87.7)

Delaware

1,895

82.7

1.4

(79.9–85.5)

District of Columbia

1,796

88.7

1.0

(86.8–90.6)

Florida

12,994

80.4

0.8

(78.8–81.9)

Georgia

2,238

86.6

0.9

(84.7–88.4)

Hawaii

2,997

79.7

1.1

(77.5–81.9)

Idaho

2,492

76.2

1.2

(73.9–78.6)

Illinois

2,392

83.2

1.0

(81.3–85.2)

Indiana

4,015

80.2

0.9

(78.5–81.9)

Iowa

2,587

80.6

1.2

(78.2–83.1)

Kansas

3,266

82.7

1.0

(80.8–84.7)

Kentucky

3,225

80.9

1.1

(78.8–83.1)

Louisiana

2,706

83.1

1.0

(81.0–85.1)

Maine

3,522

85.0

0.8

(83.4–86.6)

Maryland

3,992

87.0

0.8

(85.4–88.6)

Massachusetts

7,377

88.9

0.6

(87.8–90.0)

Michigan

3,562

82.4

1.0

(80.3–84.4)

Minnesota

3,968

87.5

1.0

(85.5–89.5)

Mississippi

2,893

80.2

1.0

(78.2–82.3)

Missouri

2,118

80.1

1.5

(77.2–83.1)

Montana

2,854

78.3

1.3

(75.7–80.8)

Nebraska

6,470

80.2

1.2

(77.8–82.5)

Nevada

1,410

78.4

1.8

(74.8–82.0)

New Hampshire

2,716

83.6

1.1

(81.5–85.8)

New Jersey

5,748

84.1

0.7

(82.8–85.4)

New Mexico

2,816

80.4

1.2

(78.0–82.8)

New York

4,198

83.6

0.7

(82.1–85.0)

North Carolina

4,814

84.0

0.9

(82.2–85.9)

North Dakota

1,953

80.3

1.4

(77.6–83.1)

Ohio

4,058

81.7

0.9

(80.0–83.4)

Oklahoma

2,866

77.5

1.0

(75.6–79.5)

Oregon

1,894

74.9

1.6

(71.7–78.1)

Pennsylvania

4,776

81.3

0.7

(79.9–82.8)

Rhode Island

3,054

83.1

1.2

(80.7–85.6)

South Carolina

3,379

83.9

1.2

(81.6–86.3)

South Dakota

2,772

80.9

1.4

(78.1–83.6)

Tennessee

2,367

83.4

1.0

(81.5–85.4)

Texas

7,119

79.4

0.9

(77.7–81.2)

Utah

3,953

73.2

1.3

(70.6–75.8)

Vermont

3,088

81.9

1.0

(79.8–83.9)

Virginia

2,146

85.2

1.7

(81.9–88.6)

Washington

7,766

80.7

0.7

(79.3–82.1)

West Virginia

1,780

79.0

1.3

(76.4–81.6)

Wisconsin

1,932

84.8

1.2

(82.5–87.1)

Wyoming

2,086

78.4

1.3

(75.8–80.9)

Guam

374

67.8

3.2

(61.5–74.1)

Puerto Rico

1,589

75.4

1.6

(72.3–78.5)

Virgin Islands

895

75.9

1.9

(72.1–79.6)

Median

81.0

Range

67.8-88.9

Abbreviations: SE = standard error; CI = confidence interval.


TABLE 29. Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

316

79.5

3.7

(72.2–86.7)

Albuquerque, New Mexico

931

83.6

2.0

(79.6–87.5)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

463

83.1

2.2

(78.7–87.4)

Amarillo, Texas

290

78.4

3.3

(71.9–84.8)

Arcadia, Florida

179

75.9

4.7

(66.6–85.1)

Asheville, North Carolina

188

82.1

3.9

(74.4–89.7)

Atlanta-Sandy Springs-Marietta, Georgia

992

87.3

1.5

(84.3–90.2)

Atlantic City, New Jersey

388

80.4

2.5

(75.5–85.3)

Augusta-Richmond County, Georgia-South Carolina

306

80.4

3.5

(73.5–87.2)

Augusta-Waterville, Maine

299

86.5

2.7

(81.2–91.7)

Austin-Round Rock, Texas

428

86.5

3.2

(80.2–92.7)

Baltimore-Towson, Maryland

1,493

87.2

1.2

(84.8–89.5)

Bangor, Maine

312

82.9

2.6

(77.8–87.9)

Barre, Vermont

300

84.7

3.2

(78.4–90.9)

Baton Rouge, Louisiana

480

86.1

2.1

(81.9–90.2)

Bethesda-Gaithersburg-Frederick, Maryland*

768

85.1

1.9

(81.3–88.8)

Billings, Montana

215

81.4

3.1

(75.3–87.4)

Birmingham-Hoover, Alabama

443

84.5

2.2

(80.1–88.8)

Bismarck, North Dakota

304

82.2

3.0

(76.3–88.0)

Boise City-Nampa, Idaho

585

77.1

2.4

(72.3–81.8)

Boston-Quincy, Massachusetts*

1,584

89.4

1.4

(86.6–92.1)

Bremerton-Silverdale, Washington

361

78.7

3.1

(72.6–84.7)

Bridgeport-Stamford-Norwalk, Connecticut

1,027

86.4

2.2

(82.0–90.7)

Buffalo-Cheektowaga-Tonawanda, New York

275

84.4

3.5

(77.5–91.2)

Burlington-South Burlington, Vermont

925

82.5

1.9

(78.7–86.2)

Cambridge-Newton-Framingham, Massachusetts*

1,359

90.9

1.1

(88.7–93.0)

Camden, New Jersey*

800

84.7

1.7

(81.3–88.0)

Canton-Massillon, Ohio

289

82.8

3.0

(76.9–88.6)

Cape Coral-Fort Myers, Florida

193

84.0

3.1

(77.9–90.0)

Casper, Wyoming

290

73.5

3.7

(66.2–80.7)

Cedar Rapids, Iowa

232

81.8

4.0

(73.9–89.6)

Charleston, West Virginia

315

84.7

2.4

(79.9–89.4)

Charleston-North Charleston, South Carolina

443

87.6

2.9

(81.9–93.2)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

709

84.6

1.8

(81.0–88.1)

Chattanooga, Tennessee-Georgia

238

82.0

4.2

(73.7–90.2)

Cheyenne, Wyoming

316

86.7

2.2

(82.3–91.0)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

2,298

80.8

1.4

(78.0–83.5)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

768

81.7

2.2

(77.3–86.0)

Cleveland-Elyria-Mentor, Ohio

486

81.2

2.5

(76.3–86.1)

Coeur d´Alene, Idaho

184

82.1

3.6

(75.0–89.1)

Colorado Springs, Colorado

451

77.5

2.9

(71.8–83.1)

Columbia, South Carolina

427

84.3

3.5

(77.4–91.1)

Columbus, Ohio

600

83.0

2.4

(78.2–87.7)

Concord, New Hampshire

303

90.7

1.9

(86.9–94.4)

Dallas-Plano-Irving, Texas*

297

81.7

3.1

(75.6–87.7)

Dayton, Ohio

328

82.5

2.9

(76.8–88.1)

Del Rio, Texas

267

NA

NA

NA

Deltona-Daytona Beach-Ormond Beach, Florida

312

78.3

3.1

(72.2–84.3)

Denver-Aurora, Colorado

1,873

81.3

1.6

(78.1–84.4)

Des Moines-West Des Moines, Iowa

406

85.4

2.3

(80.8–89.9)

Detroit-Livonia-Dearborn, Michigan*

797

83.6

2.1

(79.4–87.7)

Dover, Delaware

556

86.9

2.1

(82.7–91.0)

Durham, North Carolina

484

88.9

2.6

(83.8–93.9)

Edison, New Jersey*

1,064

86.9

1.3

(84.3–89.4)

El Paso, Texas

391

77.6

2.7

(72.3–82.8)

Eugene-Springfield, Oregon

189

NA

NA

NA

Evansville, Indiana-Kentucky

206

83.7

3.8

(76.2–91.1)

Fargo, North Dakota-Minnesota

335

86.4

3.2

(80.1–92.6)

Farmington, New Mexico

264

78.9

3.8

(71.4–86.3)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

258

79.8

4.0

(71.9–87.6)

Fort Collins-Loveland, Colorado

207

NA

NA

NA

Fort Wayne, Indiana

299

80.6

2.7

(75.3–85.8)

Fort Worth-Arlington, Texas*

267

83.1

3.4

(76.4–89.7)


TABLE 29. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

372

83.5

3.6

(76.4–90.5)

Grand Island, Nebraska

331

75.2

3.5

(68.3–82.0)

Grand Rapids-Wyoming, Michigan

248

83.6

3.4

(76.9–90.2)

Greensboro-High Point, North Carolina

439

77.1

3.2

(70.8–83.3)

Greenville, South Carolina

243

81.3

4.5

(72.4–90.1)

Hagerstown-Martinsburg, Maryland-West Virginia

270

85.9

2.7

(80.6–91.1)

Hartford-West Hartford-East Hartford, Connecticut

907

84.9

1.9

(81.1–88.6)

Hastings, Nebraska

254

75.5

4.6

(66.4–84.5)

Helena, Montana

253

84.7

2.3

(80.1–89.2)

Hickory-Morganton-Lenoir, North Carolina

199

90.8

2.4

(86.0–95.5)

Hilo, Hawaii

667

81.1

2.0

(77.1–85.0)

Hilton Head Island-Beaufort, South Carolina

298

87.1

2.6

(82.0–92.1)

Homosassa Springs, Florida

204

76.7

3.5

(69.8–83.5)

Honolulu, Hawaii

1,325

80.2

1.5

(77.2–83.1)

Houston-Sugar Land-Baytown, Texas

1,102

77.1

2.3

(72.5–81.6)

Huntington-Ashland, West Virginia-Kentucky-Ohio

253

71.5

4.2

(63.2–79.7)

Idaho Falls, Idaho

231

76.8

3.8

(69.3–84.2)

Indianapolis-Carmel, Indiana

910

83.1

2.0

(79.1–87.0)

Jackson, Mississippi

274

87.0

2.5

(82.1–91.9)

Jacksonville, Florida

964

83.3

2.6

(78.2–88.3)

Kahului-Wailuku, Hawaii

709

78.9

2.3

(74.3–83.4)

Kalispell, Montana

236

81.8

2.8

(76.3–87.2)

Kansas City, Missouri-Kansas

1,360

80.8

2.0

(76.8–84.7)

Kapaa, Hawaii

296

78.2

3.8

(70.7–85.6)

Kennewick-Richland-Pasco, Washington

248

84.0

3.3

(77.5–90.4)

Key West-Marathon, Florida

199

83.4

3.6

(76.3–90.4)

Kingsport-Bristol, Tennessee-Virginia

239

79.8

4.2

(71.5–88.0)

Knoxville, Tennessee

222

81.2

3.8

(73.7–88.6)

Lake City, Florida

218

81.0

3.5

(74.1–87.8)

Lakeland-Winter Haven, Florida

187

77.5

4.2

(69.2–85.7)

Laredo, Texas

468

71.7

2.8

(66.2–77.1)

Las Cruces, New Mexico

194

80.4

4.6

(71.3–89.4)

Las Vegas-Paradise, Nevada

472

79.0

2.4

(74.2–83.7)

Lebanon, New Hampshire-Vermont

672

83.0

2.1

(78.8–87.1)

Lewiston, Idaho-Washington

167

86.4

2.9

(80.7–92.0)

Lewiston-Auburn, Maine

198

86.8

3.6

(79.7–93.8)

Lincoln, Nebraska

423

80.1

3.7

(72.8–87.3)

Little Rock-North Little Rock, Arkansas

273

77.5

4.4

(68.8–86.1)

Los Angeles-Long Beach-Glendale, California*

1,133

82.4

1.6

(79.2–85.5)

Louisville, Kentucky-Indiana

378

83.2

2.5

(78.3–88.1)

Lubbock, Texas

265

71.0

4.9

(61.3–80.6)

Manchester-Nashua, New Hampshire

650

80.5

2.4

(75.7–85.2)

McAllen-Edinburg-Mission, Texas

286

70.9

3.4

(64.2–77.5)

Memphis, Tennessee-Mississippi-Arkansas

466

81.5

3.0

(75.6–87.3)

Miami-Fort Lauderdale-Miami Beach, Florida

434

78.5

3.1

(72.4–84.5)

Midland, Texas

195

77.6

4.4

(68.9–86.2)

Milwaukee-Waukesha-West Allis, Wisconsin

656

84.8

2.7

(79.5–90.0)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

2,240

87.7

1.6

(84.5–90.8)

Minot, North Dakota

234

85.9

2.9

(80.2–91.5)

Mobile, Alabama

238

83.7

3.1

(77.6–89.7)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

194

83.2

4.0

(75.3–91.0)

Naples-Marco Island, Florida

184

NA

NA

NA

Nashville-Davidson-Murfreesboro, Tennessee

368

86.6

2.3

(82.0–91.1)

Nassau-Suffolk, New York*

514

82.6

2.1

(78.4–86.7)

Newark-Union, New Jersey-Pennsylvania*

1,573

82.8

1.6

(79.6–85.9)

New Haven-Milford, Connecticut

768

85.9

2.3

(81.3–90.4)

New Orleans-Metairie-Kenner, Louisiana

592

83.9

2.2

(79.5–88.2)

New York-White Plains-Wayne, New York-New Jersey*

3,008

81.3

1.1

(79.1–83.4)

Norfolk, Nebraska

256

80.2

3.3

(73.7–86.6)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

210

408

72.3

82.1

4.5

2.4

(63.4–81.1)

(77.3–86.8)

Ocala, Florida

213

71.1

4.2

(62.8–79.3)

Ocean City, New Jersey

222

82.5

3.1

(76.4–88.5)


TABLE 29. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

634

76.4

2.5

(71.5–81.3)

Oklahoma City, Oklahoma

953

80.4

1.8

(76.8–83.9)

Olympia, Washington

364

82.2

2.6

(77.1–87.2)

Omaha-Council Bluffs, Nebraska-Iowa

982

85.0

1.7

(81.6–88.3)

Orlando-Kissimmee, Florida

1,101

80.4

1.8

(76.8–83.9)

Palm Bay-Melbourne-Titusville, Florida

199

81.6

4.0

(73.7–89.4)

Panama City-Lynn Haven, Florida

Peabody, Massachusetts

204

976

76.3

91.2

4.1

1.8

(68.2–84.3)

(87.6–94.7)

Pensacola-Ferry Pass-Brent, Florida

360

81.5

3.1

(75.4–87.5)

Philadelphia, Pennsylvania*

1,149

82.3

1.7

(78.9–85.6)

Phoenix-Mesa-Scottsdale, Arizona

655

83.3

2.2

(78.9–87.6)

Pittsburgh, Pennsylvania

1,018

82.0

1.6

(78.8–85.1)

Portland-South Portland-Biddeford, Maine

1,177

86.8

1.3

(84.2–89.3)

Portland-Vancouver-Beaverton, Oregon-Washington

1,371

76.7

2.1

(72.5–80.8)

Port St. Lucie-Fort Pierce, Florida

388

73.2

3.1

(67.1–79.2)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

4,321

85.6

1.0

(83.6–87.5)

Provo-Orem, Utah

455

63.3

4.0

(55.4–71.1)

Raleigh-Cary, North Carolina

449

91.0

1.7

(87.6–94.3)

Rapid City, South Dakota

323

84.7

2.3

(80.1–89.2)

Reno-Sparks, Nevada

484

84.8

2.1

(80.6–88.9)

Richmond, Virginia

319

87.2

2.7

(81.9–92.4)

Riverside-San Bernardino-Ontario, California

761

82.8

1.9

(79.0–86.5)

Rochester, New York

269

84.1

2.8

(78.6–89.5)

Rockingham County-Strafford County, New Hampshire*

744

84.6

2.2

(80.2–88.9)

Rutland, Vermont

311

76.4

3.6

(69.3–83.4)

Sacramento-Arden-Arcade-Roseville, California

541

82.5

2.5

(77.6–87.4)

St. Louis, Missouri-Illinois

754

84.2

2.6

(79.1–89.2)

Salt Lake City, Utah

1,729

78.8

1.5

(75.8–81.7)

San Antonio, Texas

446

72.6

3.6

(65.5–79.6)

San Diego-Carlsbad-San Marcos, California

687

85.9

2.1

(81.7–90.0)

San Francisco-Oakland-Fremont, California

1,032

80.3

1.8

(76.7–83.8)

San Jose-Sunnyvale-Santa Clara, California

373

83.5

2.6

(78.4–88.5)

Santa Ana-Anaheim-Irvine, California*

632

78.1

2.7

(72.8–83.3)

Santa Fe, New Mexico

274

83.2

3.2

(76.9–89.4)

Scottsbluff, Nebraska

294

73.0

3.7

(65.7–80.2)

Scranton-Wilkes-Barre, Pennsylvania

222

72.0

4.6

(62.9–81.0)

Seaford, Delaware

510

86.4

2.4

(81.6–91.1)

Seattle-Bellevue-Everett, Washington*

1,989

82.6

1.3

(80.0–85.1)

Sebring, Florida

165

78.4

4.5

(69.5–87.2)

Shreveport-Bossier City, Louisiana

258

82.1

2.9

(76.4–87.7)

Sioux City, Iowa-Nebraska-South Dakota

496

NA

NA

NA

Sioux Falls, South Dakota

333

87.6

2.2

(83.2–91.9)

Spokane, Washington

449

77.0

3.1

(70.9–83.0)

Springfield, Massachusetts

917

78.7

4.3

(70.2–87.1)

Tacoma, Washington*

656

86.6

1.6

(83.4–89.7)

Tallahassee, Florida

789

87.0

2.7

(81.7–92.2)

Tampa-St. Petersburg-Clearwater, Florida

764

79.3

2.3

(74.7–83.8)

Toledo, Ohio

356

87.1

2.0

(83.1–91.0)

Topeka, Kansas

315

90.9

1.6

(87.7–94.0)

Trenton-Ewing, New Jersey

259

89.0

2.6

(83.9–94.0)

Tucson, Arizona

288

84.9

3.0

(79.0–90.7)

Tulsa, Oklahoma

816

77.2

2.0

(73.2–81.1)

Tuscaloosa, Alabama

220

85.3

3.4

(78.6–91.9)

Twin Falls, Idaho

196

79.5

3.3

(73.0–85.9)

Tyler, Texas

229

73.6

4.5

(64.7–82.4)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

448

86.7

2.5

(81.8–91.6)

Warren-Troy-Farmington Hills, Michigan*

742

81.8

2.4

(77.0–86.5)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia*

2,846

86.4

2.5

(81.5–91.3)

Wauchula, Florida

217

NA

NA

NA

West Palm Beach-Boca Raton-Boynton Beach, Florida*

223

74.3

4.2

(66.0–82.5)

Wichita, Kansas

705

80.5

2.5

(75.6–85.4)

Wichita Falls, Texas

245

74.8

4.5

(65.9–83.6)

Wilmington, Delaware-Maryland-New Jersey*

1,011

81.7

1.7

(78.3–85.0)


TABLE 29. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

956

83.6

2.9

(77.9–89.2)

Yakima, Washington

291

80.2

2.9

(74.5–85.8)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

451

81.3

3.1

(75.2–87.3)

Median

82.4

Range

63.3-91.2

Abbreviations: SE = standard error; CI = confidence interval.

* Metropolitan division.

Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 30. Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

223

86.1

2.7

(80.8–91.3)

Mobile County, Alabama

238

83.7

3.1

(77.6–89.7)

Tuscaloosa County, Alabama

186

84.5

3.8

(77.0–91.9)

Maricopa County, Arizona

506

82.8

2.4

(78.0–87.5)

Pima County, Arizona

288

84.9

3.0

(79.0–90.7)

Pinal County, Arizona

149

89.2

3.2

(82.9–95.4)

Benton County, Arkansas

144

84.3

4.1

(76.2–92.3)

Pulaski County, Arkansas

191

NA*

NA

NA

Washington County, Arkansas

102

NA

NA

NA

Alameda County, California

324

80.2

3.0

(74.3–86.0)

Contra Costa County, California

281

80.2

3.2

(73.9–86.4)

Los Angeles County, California

1,133

82.4

1.6

(79.2–85.5)

Orange County, California

632

78.1

2.7

(72.8–83.3)

Placer County, California

104

85.7

4.3

(77.2–94.1)

Riverside County, California

375

88.1

1.9

(84.3–91.8)

Sacramento County, California

311

78.1

3.5

(71.2–84.9)

San Bernardino County, California

386

80.1

2.8

(74.6–85.5)

San Diego County, California

687

85.9

2.1

(81.7–90.0)

San Francisco County, California

166

82.8

3.6

(75.7–89.8)

San Mateo County, California

166

83.3

3.5

(76.4–90.1)

Santa Clara County, California

353

83.8

2.6

(78.7–88.8)

Adams County, Colorado

303

79.2

3.2

(72.9–85.4)

Arapahoe County, Colorado

331

84.0

2.6

(78.9–89.0)

Denver County, Colorado

385

85.2

2.2

(80.8–89.5)

Douglas County, Colorado

233

91.5

2.3

(86.9–96.0)

El Paso County, Colorado

398

77.4

3.0

(71.5–83.2)

Jefferson County, Colorado

436

77.9

3.1

(71.8–83.9)

Larimer County, Colorado

207

NA

NA

NA

Fairfield County, Connecticut

1,027

86.4

2.2

(82.0–90.7)

Hartford County, Connecticut

667

86.9

1.7

(83.5–90.2)

Middlesex County, Connecticut

136

90.0

3.1

(83.9–96.0)

New Haven County, Connecticut

768

85.9

2.3

(81.3–90.4)

Tolland County, Connecticut

104

82.5

4.3

(74.0–90.9)

Kent County, Delaware

556

86.9

2.1

(82.7–91.0)

New Castle County, Delaware

829

80.6

2.1

(76.4–84.7)

Sussex County, Delaware

510

86.4

2.4

(81.6–91.1)

District of Columbia, District of Columbia

1,796

88.3

1.2

(85.9–90.6)

Alachua County, Florida

239

83.1

3.8

(75.6–90.5)

Baker County, Florida

176

81.8

3.8

(74.3–89.2)

Bay County, Florida

204

76.3

4.1

(68.2–84.3)

Brevard County, Florida

199

81.6

4.0

(73.7–89.4)

Broward County, Florida

217

84.7

3.0

(78.8–90.5)

Citrus County, Florida

204

76.7

3.5

(69.8–83.5)

Clay County, Florida

175

88.2

3.1

(82.1–94.2)

Collier County, Florida

184

NA

NA

NA

Columbia County, Florida

218

81.0

3.5

(74.1–87.8)

DeSoto County, Florida

179

75.9

4.7

(66.6–85.1)

Duval County, Florida

218

81.8

3.8

(74.3–89.2)

Escambia County, Florida

187

82.5

4.1

(74.4–90.5)

Gadsden County, Florida

198

84.7

2.9

(79.0–90.3)

Gilchrist County, Florida

133

84.0

4.0

(76.1–91.8)

Hardee County, Florida

217

NA

NA

NA

Hernando County, Florida

187

75.1

4.2

(66.8–83.3)

Highlands County, Florida

165

78.4

4.5

(69.5–87.2)

Hillsborough County, Florida

194

83.6

3.4

(76.9–90.2)

Jefferson County, Florida

191

81.5

3.5

(74.6–88.3)

Lake County, Florida

228

81.5

3.2

(75.2–87.7)

Lee County, Florida

193

84.0

3.1

(77.9–90.0)

Leon County, Florida

199

86.8

4.0

(78.9–94.6)

Manatee County, Florida

193

82.5

3.6

(75.4–89.5)

Marion County, Florida

213

71.1

4.2

(62.8–79.3)

Martin County, Florida

206

77.2

4.2

(68.9–85.4)

Miami-Dade County, Florida

217

74.5

4.8

(65.0–83.9)


TABLE 30. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

199

83.4

3.6

(76.3–90.4)

Nassau County, Florida

180

84.3

3.3

(77.8–90.7)

Orange County, Florida

450

80.6

2.7

(75.3–85.8)

Osceola County, Florida

218

80.9

3.3

(74.4–87.3)

Palm Beach County, Florida

223

74.3

4.2

(66.0–82.5)

Pasco County, Florida

203

79.3

4.0

(71.4–87.1)

Pinellas County, Florida

180

76.3

4.2

(68.0–84.5)

Polk County, Florida

187

77.5

4.2

(69.2–85.7)

St. Johns County, Florida

215

87.4

2.9

(81.7–93.0)

St. Lucie County, Florida

182

71.2

4.3

(62.7–79.6)

Santa Rosa County, Florida

173

79.7

4.1

(71.6–87.7)

Sarasota County, Florida

215

82.4

3.2

(76.1–88.6)

Seminole County, Florida

205

80.8

3.8

(73.3–88.2)

Volusia County, Florida

312

78.3

3.1

(72.2–84.3)

Wakulla County, Florida

201

89.1

2.6

(84.0–94.1)

Cobb County, Georgia

105

82.4

4.8

(72.9–91.8)

DeKalb County, Georgia

151

85.8

3.8

(78.3–93.2)

Fulton County, Georgia

146

88.5

4.4

(79.8–97.1)

Gwinnett County, Georgia

99

92.6

2.9

(86.9–98.2)

Hawaii County, Hawaii

667

81.1

2.0

(77.1–85.0)

Honolulu County, Hawaii

1,325

80.2

1.5

(77.2–83.1)

Kauai County, Hawaii

296

78.2

3.8

(70.7–85.6)

Maui County, Hawaii

709

78.9

2.3

(74.3–83.4)

Ada County, Idaho

321

80.7

3.0

(74.8–86.5)

Bonneville County, Idaho

185

79.7

4.2

(71.4–87.9)

Canyon County, Idaho

207

73.0

4.1

(64.9–81.0)

Kootenai County, Idaho

184

82.1

3.6

(75.0–89.1)

Nez Perce County, Idaho

112

84.2

3.6

(77.1–91.2)

Twin Falls County, Idaho

160

76.7

3.9

(69.0–84.3)

Cook County, Illinois

1,375

81.3

1.6

(78.1–84.4)

DuPage County, Illinois

119

78.6

4.0

(70.7–86.4)

Allen County, Indiana

249

81.2

2.7

(75.9–86.4)

Lake County, Indiana

407

79.0

3.2

(72.7–85.2)

Marion County, Indiana

576

84.0

2.2

(79.6–88.3)

Linn County, Iowa

206

88.0

3.1

(81.9–94.0)

Polk County, Iowa

315

82.9

2.9

(77.2–88.5)

Johnson County, Kansas

595

87.9

2.0

(83.9–91.8)

Sedgwick County, Kansas

544

84.2

2.0

(80.2–88.1)

Shawnee County, Kansas

246

90.7

1.9

(86.9–94.4)

Wyandotte County, Kansas

245

80.7

3.6

(73.6–87.7)

Jefferson County, Kentucky

177

81.7

3.6

(74.6–88.7)

Caddo Parish, Louisiana

170

78.6

3.9

(70.9–86.2)

East Baton Rouge Parish, Louisiana

292

85.9

2.8

(80.4–91.3)

Jefferson Parish, Louisiana

225

83.2

3.1

(77.1–89.2)

Orleans Parish, Louisiana

164

84.1

3.5

(77.2–90.9)

St. Tammany Parish, Louisiana

135

NA

NA

NA

Androscoggin County, Maine

198

86.8

3.6

(79.7–93.8)

Cumberland County, Maine

645

87.5

1.5

(84.5–90.4)

Kennebec County, Maine

299

86.5

2.7

(81.2–91.7)

Penobscot County, Maine

312

82.9

2.6

(77.8–87.9)

Sagadahoc County, Maine

119

88.9

3.3

(82.4–95.3)

York County, Maine

413

87.2

2.0

(83.2–91.1)

Anne Arundel County, Maryland

257

85.0

2.9

(79.3–90.6)

Baltimore County, Maryland

456

89.4

1.5

(86.4–92.3)

Cecil County, Maryland

102

91.1

2.7

(85.8–96.3)

Charles County, Maryland

153

90.9

2.9

(85.2–96.5)

Frederick County, Maryland

251

87.0

2.8

(81.5–92.4)

Harford County, Maryland

125

85.7

3.5

(78.8–92.5)

Howard County, Maryland

171

89.2

2.9

(83.5–94.8)

Montgomery County, Maryland

517

84.7

2.2

(80.3–89.0)

Prince George´s County, Maryland

339

89.9

2.1

(85.7–94.0)

Queen Anne´s County, Maryland

121

94.7

2.0

(90.7–98.6)

Washington County, Maryland

171

86.7

2.8

(81.2–92.1)


TABLE 30. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

262

86.5

2.9

(80.8–92.1)

Bristol County, Massachusetts

1,267

90.5

1.2

(88.1–92.8)

Essex County, Massachusetts

976

90.4

2.1

(86.2–94.5)

Hampden County, Massachusetts

710

77.3

4.4

(68.6–85.9)

Hampshire County, Massachusetts

134

87.9

3.7

(80.6–95.1)

Middlesex County, Massachusetts

1,359

91.0

1.1

(88.8–93.1)

Norfolk County, Massachusetts

406

90.5

2.1

(86.3–94.6)

Plymouth County, Massachusetts

300

90.9

1.9

(87.1–94.6)

Suffolk County, Massachusetts

878

86.7

2.9

(81.0–92.3)

Worcester County, Massachusetts

956

83.6

2.9

(77.9–89.2)

Kent County, Michigan

189

85.3

3.7

(78.0–92.5)

Macomb County, Michigan

201

76.2

4.9

(66.5–85.8)

Oakland County, Michigan

389

85.8

2.9

(80.1–91.4)

Wayne County, Michigan

797

83.6

2.1

(79.4–87.7)

Anoka County, Minnesota

174

89.9

2.5

(85.0–94.8)

Dakota County, Minnesota

269

91.6

2.1

(87.4–95.7)

Hennepin County, Minnesota

919

88.6

2.0

(84.6–92.5)

Ramsey County, Minnesota

448

87.0

2.5

(82.1–91.9)

Washington County, Minnesota

117

93.9

1.8

(90.3–97.4)

DeSoto County, Mississippi

143

82.6

4.2

(74.3–90.8)

Hinds County, Mississippi

141

84.2

4.0

(76.3–92.0)

Jackson County, Missouri

210

78.1

3.7

(70.8–85.3)

St. Louis County, Missouri

264

83.7

4.2

(75.4–91.9)

St. Louis city, Missouri

286

81.7

2.9

(76.0–87.3)

Flathead County, Montana

236

81.8

2.8

(76.3–87.2)

Lewis and Clark County, Montana

203

85.1

2.4

(80.3–89.8)

Yellowstone County, Montana

198

80.9

3.3

(74.4–87.3)

Adams County, Nebraska

209

NA

NA

NA

Dakota County, Nebraska

308

78.4

2.8

(72.9–83.8)

Douglas County, Nebraska

413

84.9

2.3

(80.3–89.4)

Hall County, Nebraska

234

72.9

4.6

(63.8–81.9)

Lancaster County, Nebraska

316

80.5

3.9

(72.8–88.1)

Lincoln County, Nebraska

195

72.0

4.7

(62.7–81.2)

Madison County, Nebraska

187

77.4

4.3

(68.9–85.8)

Sarpy County, Nebraska

258

91.7

2.2

(87.3–96.0)

Scotts Bluff County, Nebraska

288

72.9

3.7

(65.6–80.1)

Seward County, Nebraska

107

NA

NA

NA

Clark County, Nevada

472

79.0

2.4

(74.2–83.7)

Washoe County, Nevada

479

84.8

2.1

(80.6–88.9)

Grafton County, New Hampshire

219

85.8

3.2

(79.5–92.0)

Hillsborough County, New Hampshire

650

80.5

2.4

(75.7–85.2)

Merrimack County, New Hampshire

303

90.7

1.9

(86.9–94.4)

Rockingham County, New Hampshire

481

84.9

2.6

(79.8–89.9)

Strafford County, New Hampshire

263

87.1

2.7

(81.8–92.3)

Atlantic County, New Jersey

388

80.4

2.5

(75.5–85.3)

Bergen County, New Jersey

293

82.4

2.8

(76.9–87.8)

Burlington County, New Jersey

280

84.6

2.7

(79.3–89.8)

Camden County, New Jersey

277

84.6

2.8

(79.1–90.0)

Cape May County, New Jersey

222

82.5

3.1

(76.4–88.5)

Essex County, New Jersey

494

81.3

2.4

(76.5–86.0)

Gloucester County, New Jersey

243

87.0

2.3

(82.4–91.5)

Hudson County, New Jersey

528

81.1

2.1

(76.9–85.2)

Hunterdon County, New Jersey

256

93.9

1.4

(91.1–96.6)

Mercer County, New Jersey

259

89.0

2.6

(83.9–94.0)

Middlesex County, New Jersey

281

84.7

2.8

(79.2–90.1)

Monmouth County, New Jersey

273

86.7

3.1

(80.6–92.7)

Morris County, New Jersey

316

86.5

2.4

(81.7–91.2)

Ocean County, New Jersey

250

86.5

2.0

(82.5–90.4)

Passaic County, New Jersey

242

80.0

3.1

(73.9–86.0)

Somerset County, New Jersey

260

85.5

3.3

(79.0–91.9)

Sussex County, New Jersey

235

85.2

3.1

(79.1–91.2)

Union County, New Jersey

242

83.4

3.2

(77.1–89.6)

Warren County, New Jersey

198

82.7

3.4

(76.0–89.3)


TABLE 30. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

527

84.7

2.4

(79.9–89.4)

Dona Ana County, New Mexico

194

80.4

4.6

(71.3–89.4)

Sandoval County, New Mexico

235

85.3

2.8

(79.8–90.7)

San Juan County, New Mexico

264

78.9

3.8

(71.4–86.3)

Santa Fe County, New Mexico

274

83.2

3.2

(76.9–89.4)

Valencia County, New Mexico

138

NA

NA

NA

Bronx County, New York

216

82.9

3.3

(76.4–89.3)

Erie County, New York

215

85.5

3.0

(79.6–91.3)

Kings County, New York

442

82.0

2.8

(76.5–87.4)

Monroe County, New York

185

85.3

3.2

(79.0–91.5)

Nassau County, New York

242

82.6

2.8

(77.1–88.0)

New York County, New York

526

82.5

2.7

(77.2–87.7)

Queens County, New York

378

79.9

2.6

(74.8–84.9)

Suffolk County, New York

272

81.6

3.5

(74.7–88.4)

Westchester County, New York

189

88.0

2.6

(82.9–93.0)

Buncombe County, North Carolina

93

NA

NA

NA

Cabarrus County, North Carolina

120

82.7

4.4

(74.0–91.3)

Catawba County, North Carolina

106

93.4

2.4

(88.6–98.1)

Durham County, North Carolina

280

89.4

3.5

(82.5–96.2)

Gaston County, North Carolina

99

NA

NA

NA

Guilford County, North Carolina

280

77.9

3.6

(70.8–84.9)

Johnston County, North Carolina

105

95.7

1.5

(92.7–98.6)

Mecklenburg County, North Carolina

287

88.5

2.6

(83.4–93.5)

Orange County, North Carolina

153

93.2

2.0

(89.2–97.1)

Randolph County, North Carolina

140

NA

NA

NA

Union County, North Carolina

127

NA

NA

NA

Wake County, North Carolina

328

90.4

1.9

(86.6–94.1)

Burleigh County, North Dakota

219

80.8

3.9

(73.1–88.4)

Cass County, North Dakota

313

83.1

3.8

(75.6–90.5)

Ward County, North Dakota

199

86.8

3.2

(80.5–93.0)

Cuyahoga County, Ohio

332

82.7

2.8

(77.2–88.1)

Franklin County, Ohio

286

83.3

2.7

(78.0–88.5)

Hamilton County, Ohio

326

82.5

2.7

(77.2–87.7)

Lucas County, Ohio

308

86.2

2.2

(81.8–90.5)

Mahoning County, Ohio

310

83.9

2.4

(79.1–88.6)

Montgomery County, Ohio

271

79.8

3.4

(73.1–86.4)

Stark County, Ohio

279

85.5

2.7

(80.2–90.7)

Summit County, Ohio

273

80.9

3.8

(73.4–88.3)

Cleveland County, Oklahoma

155

81.6

3.9

(73.9–89.2)

Oklahoma County, Oklahoma

572

80.8

2.2

(76.4–85.1)

Tulsa County, Oklahoma

601

75.5

2.3

(70.9–80.0)

Clackamas County, Oregon

170

79.8

4.0

(71.9–87.6)

Lane County, Oregon

189

NA

NA

NA

Multnomah County, Oregon

324

75.4

3.7

(68.1–82.6)

Washington County, Oregon

235

81.2

3.9

(73.5–88.8)

Allegheny County, Pennsylvania

598

84.4

1.9

(80.6–88.1)

Lehigh County, Pennsylvania

117

82.1

3.8

(74.6–89.5)

Luzerne County, Pennsylvania

123

72.2

4.8

(62.7–81.6)

Montgomery County, Pennsylvania

165

78.5

4.2

(70.2–86.7)

Northampton County, Pennsylvania

117

80.8

4.3

(72.3–89.2)

Philadelphia County, Pennsylvania

700

81.4

2.0

(77.4–85.3)

Westmoreland County, Pennsylvania

143

83.7

3.1

(77.6–89.7)

Bristol County, Rhode Island

137

84.4

3.8

(76.9–91.8)

Kent County, Rhode Island

438

83.1

2.5

(78.2–88.0)

Newport County, Rhode Island

221

84.7

3.4

(78.0–91.3)

Providence County, Rhode Island

1,920

82.2

1.7

(78.8–85.5)

Washington County, Rhode Island

338

91.0

1.8

(87.4–94.5)

Aiken County, South Carolina

158

80.6

4.4

(71.9–89.2)

Beaufort County, South Carolina

259

86.2

3.2

(79.9–92.4)

Berkeley County, South Carolina

137

94.5

1.9

(90.7–98.2)

Charleston County, South Carolina

257

85.4

4.2

(77.1–93.6)

Greenville County, South Carolina

161

NA

NA

NA

Horry County, South Carolina

194

83.2

4.0

(75.3–91.0)


TABLE 30. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

253

NA

NA

NA

Minnehaha County, South Dakota

242

88.7

2.0

(84.7–92.6)

Pennington County, South Dakota

262

84.8

2.6

(79.7–89.8)

Davidson County, Tennessee

189

82.5

3.4

(75.8–89.1)

Hamilton County, Tennessee

170

NA

NA

NA

Knox County, Tennessee

156

83.7

4.1

(75.6–91.7)

Shelby County, Tennessee

179

83.6

3.3

(77.1–90.0)

Sullivan County, Tennessee

172

81.1

4.0

(73.2–88.9)

Bexar County, Texas

392

78.2

3.2

(71.9–84.4)

Dallas County, Texas

159

76.7

4.7

(67.4–85.9)

El Paso County, Texas

391

77.6

2.7

(72.3–82.8)

Fort Bend County, Texas

365

80.2

3.1

(74.1–86.2)

Harris County, Texas

616

77.2

2.7

(71.9–82.4)

Hidalgo County, Texas

286

70.9

3.4

(64.2–77.5)

Lubbock County, Texas

259

70.9

4.5

(62.0–79.7)

Midland County, Texas

195

77.6

4.4

(68.9–86.2)

Potter County, Texas

119

75.2

5.1

(65.2–85.1)

Randall County, Texas

162

80.9

4.4

(72.2–89.5)

Smith County, Texas

229

73.6

4.5

(64.7–82.4)

Tarrant County, Texas

226

84.5

3.4

(77.8–91.1)

Travis County, Texas

337

82.2

5.0

(72.4–92.0)

Val Verde County, Texas

267

NA

NA

NA

Webb County, Texas

468

71.7

2.8

(66.2–77.1)

Wichita County, Texas

201

72.6

5.0

(62.8–82.4)

Davis County, Utah

335

74.7

3.5

(67.8–81.5)

Salt Lake County, Utah

1,310

79.0

1.7

(75.6–82.3)

Summit County, Utah

180

86.3

3.5

(79.4–93.1)

Tooele County, Utah

239

73.8

3.4

(67.1–80.4)

Utah County, Utah

427

63.2

4.1

(55.1–71.2)

Weber County, Utah

283

82.5

2.6

(77.4–87.5)

Chittenden County, Vermont

694

80.3

2.6

(75.2–85.3)

Franklin County, Vermont

200

86.2

2.5

(81.3–91.1)

Orange County, Vermont

159

83.0

3.4

(76.3–89.6)

Rutland County, Vermont

311

76.4

3.6

(69.3–83.4)

Washington County, Vermont

300

84.7

3.2

(78.4–90.9)

Windsor County, Vermont

294

81.7

2.6

(76.6–86.7)

Benton County, Washington

141

83.4

4.0

(75.5–91.2)

Clark County, Washington

444

81.8

2.7

(76.5–87.0)

Franklin County, Washington

107

88.8

3.2

(82.5–95.0)

King County, Washington

1,307

82.2

1.6

(79.0–85.3)

Kitsap County, Washington

361

78.7

3.1

(72.6–84.7)

Pierce County, Washington

656

85.5

1.8

(81.9–89.0)

Snohomish County, Washington

682

84.7

1.8

(81.1–88.2)

Spokane County, Washington

449

77.0

3.1

(70.9–83.0)

Thurston County, Washington

364

82.2

2.6

(77.1–87.2)

Yakima County, Washington

291

80.2

2.9

(74.5–85.8)

Kanawha County, West Virginia

203

87.8

2.6

(82.7–92.8)

Milwaukee County, Wisconsin

526

80.8

3.5

(73.9–87.6)

Laramie County, Wyoming

316

86.7

2.2

(82.3–91.0)

Natrona County, Wyoming

290

73.5

3.7

(66.2–80.7)

Median

83.1

Range

63.2-95.7

Abbreviations: SE = standard error; CI = confidence interval.

* Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 31. Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

4,188

75.2

1.0

(73.3–77.1)

Alaska

765

72.4

2.3

(67.9–76.9)

Arizona

2,999

73.9

1.5

(70.9–76.9)

Arkansas

2,095

68.7

1.3

(66.1–71.3)

California

7,767

78.4

0.6

(77.2–79.5)

Colorado

5,366

70.3

0.8

(68.7–71.8)

Connecticut

3,375

81.4

0.9

(79.7–83.2)

Delaware

2,180

81.4

1.0

(79.4–83.4)

District of Columbia

1,814

80.0

1.3

(77.6–82.5)

Florida

18,023

77.1

0.7

(75.7–78.5)

Georgia

2,907

77.2

1.1

(75.0–79.3)

Hawaii

3,123

76.5

1.0

(74.4–78.5)

Idaho

3,333

63.8

1.1

(61.6–66.0)

Illinois

2,648

71.4

1.2

(69.1–73.7)

Indiana

5,105

71.3

0.8

(69.6–72.9)

Iowa

3,051

76.0

0.9

(74.3–77.8)

Kansas

4,287

76.0

0.8

(74.5–77.5)

Kentucky

4,491

69.9

1.1

(67.7–72.2)

Louisiana

3,805

76.3

0.8

(74.7–77.9)

Maine

4,159

80.6

0.7

(79.1–82.0)

Maryland

4,522

80.8

0.8

(79.2–82.3)

Massachusetts

7,678

83.6

0.7

(82.2–85.0)

Michigan

4,599

78.2

0.8

(76.6–79.7)

Minnesota

4,326

80.7

0.8

(79.0–82.3)

Mississippi

4,506

68.1

0.9

(66.3–69.9)

Missouri

2,752

71.3

1.3

(68.8–73.8)

Montana

3,502

67.4

1.0

(65.4–69.5)

Nebraska

8,395

71.5

0.8

(69.9–73.2)

Nevada

1,788

67.2

1.7

(63.8–70.6)

New Hampshire

3,112

80.4

0.9

(78.7–82.2)

New Jersey

5,884

77.3

0.8

(75.8–78.8)

New Mexico

3,454

71.0

1.0

(69.0–72.9)

New York

4,399

77.6

0.8

(76.1–79.2)

North Carolina

6,076

77.1

0.8

(75.6–78.7)

North Dakota

2,302

75.2

1.0

(73.2–77.1)

Ohio

5,019

74.2

0.8

(72.6–75.8)

Oklahoma

3,969

67.5

0.9

(65.8–69.3)

Oregon

2,560

71.4

1.1

(69.2–73.5)

Pennsylvania

5,649

73.9

0.8

(72.3–75.5)

Rhode Island

3,441

81.4

0.8

(79.7–83.0)

South Carolina

4,836

74.5

1.0

(72.5–76.5)

South Dakota

3,313

76.6

0.9

(74.8–78.5)

Tennessee

3,252

75.7

1.1

(73.5–77.9)

Texas

9,024

70.1

0.9

(68.3–71.8)

Utah

4,209

67.0

0.9

(65.2–68.8)

Vermont

3,392

78.1

0.8

(76.5–79.7)

Virginia

2,607

77.8

1.2

(75.4–80.1)

Washington

9,796

74.6

0.6

(73.5–75.7)

West Virginia

2,235

72.3

1.1

(70.1–74.5)

Wisconsin

2,275

78.7

1.1

(76.5–80.8)

Wyoming

2,888

67.3

1.0

(65.3–69.4)

Guam

288

64.4

3.3

(57.9–70.9)

Puerto Rico

1,843

76.7

1.3

(74.2–79.2)

Virgin Islands

882

64.2

2.0

(60.3–68.1)

Median

75.2

Range

63.8-83.6

Abbreviations: SE = standard error; CI = confidence interval.


TABLE 32. Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

416

74.1

2.7

(68.8–79.3)

Albuquerque, New Mexico

1,114

75.2

1.6

(72.0–78.3)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

519

71.1

2.7

(65.8–76.3)

Amarillo, Texas

429

71.3

2.6

(66.2–76.3)

Arcadia, Florida

269

74.9

3.5

(68.0–81.7)

Asheville, North Carolina

290

79.6

3.4

(72.9–86.2)

Atlanta-Sandy Springs-Marietta, Georgia

1,147

78.2

1.7

(74.8–81.5)

Atlantic City, New Jersey

416

79.2

2.5

(74.3–84.1)

Augusta-Richmond County, Georgia-South Carolina

422

81.4

2.4

(76.6–86.1)

Augusta-Waterville, Maine

348

84.1

2.2

(79.7–88.4)

Austin-Round Rock, Texas

462

75.0

3.8

(67.5–82.4)

Baltimore-Towson, Maryland

1,669

81.5

1.1

(79.3–83.6)

Bangor, Maine

365

86.2

2.1

(82.0–90.3)

Barre, Vermont

343

81.3

2.4

(76.5–86.0)

Baton Rouge, Louisiana

627

82.5

1.7

(79.1–85.8)

Bethesda-Gaithersburg-Frederick, Maryland*

797

80.9

1.9

(77.1–84.6)

Billings, Montana

284

70.9

3.3

(64.4–77.3)

Birmingham-Hoover, Alabama

654

77.2

2.1

(73.0–81.3)

Bismarck, North Dakota

366

74.7

2.5

(69.8–79.6)

Boise City-Nampa, Idaho

778

67.8

2.1

(63.6–71.9)

Boston-Quincy, Massachusetts*

1,599

85.9

1.1

(83.7–88.0)

Bremerton-Silverdale, Washington

444

72.7

2.5

(67.8–77.6)

Bridgeport-Stamford-Norwalk, Connecticut

1,059

80.8

1.7

(77.4–84.1)

Buffalo-Cheektowaga-Tonawanda, New York

331

79.5

2.7

(74.2–84.7)

Burlington-South Burlington, Vermont

950

78.1

1.5

(75.1–81.0)

Cambridge-Newton-Framingham, Massachusetts*

1,337

86.1

1.4

(83.3–88.8)

Camden, New Jersey*

844

75.9

1.8

(72.3–79.4)

Canton-Massillon, Ohio

389

77.3

3.0

(71.4–83.1)

Cape Coral-Fort Myers, Florida

275

73.7

3.6

(66.6–80.7)

Casper, Wyoming

369

65.3

3.1

(59.2–71.3)

Cedar Rapids, Iowa

279

78.3

3.3

(71.8–84.7)

Charleston, West Virginia

400

81.7

2.2

(77.3–86.0)

Charleston-North Charleston, South Carolina

597

76.5

2.6

(71.4–81.5)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

868

75.9

2.0

(71.9–79.8)

Chattanooga, Tennessee-Georgia

331

79.8

3.3

(73.3–86.2)

Cheyenne, Wyoming

470

76.6

2.5

(71.7–81.5)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

2,529

73.9

1.2

(71.5–76.2)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

934

69.4

2.1

(65.2–73.5)

Cleveland-Elyria-Mentor, Ohio

578

76.4

2.2

(72.0–80.7)

Coeur d´Alene, Idaho

280

69.2

3.6

(62.1–76.2)

Colorado Springs, Colorado

525

74.0

2.3

(69.4–78.5)

Columbia, South Carolina

581

77.3

2.7

(72.0–82.5)

Columbus, Ohio

661

75.9

2.0

(71.9–79.8)

Concord, New Hampshire

366

81.7

2.4

(76.9–86.4)

Dallas-Plano-Irving, Texas*

349

77.2

2.6

(72.1–82.2)

Dayton, Ohio

438

76.9

2.6

(71.8–81.9)

Del Rio, Texas

296

NA

NA

NA

Deltona-Daytona Beach-Ormond Beach, Florida

477

72.9

2.6

(67.8–77.9)

Denver-Aurora, Colorado

2,168

71.1

1.2

(68.7–73.4)

Des Moines-West Des Moines, Iowa

474

76.4

2.3

(71.8–80.9)

Detroit-Livonia-Dearborn, Michigan*

1,088

76.7

2.1

(72.5–80.8)

Dover, Delaware

629

81.6

1.8

(78.0–85.1)

Durham, North Carolina

542

78.6

2.3

(74.0–83.1)

Edison, New Jersey*

1,103

78.9

1.5

(75.9–81.8)

El Paso, Texas

419

71.4

2.7

(66.1–76.6)

Eugene-Springfield, Oregon

268

72.6

3.2

(66.3–78.8)

Evansville, Indiana-Kentucky

291

76.7

3.4

(70.0–83.3)

Fargo, North Dakota-Minnesota

389

80.2

2.8

(74.7–85.6)

Farmington, New Mexico

312

66.1

3.7

(58.8–73.3)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

330

60.6

4.2

(52.3–68.8)

Fort Collins-Loveland, Colorado

266

71.4

3.2

(65.1–77.6)

Fort Wayne, Indiana

353

73.5

2.8

(68.0–78.9)

Fort Worth-Arlington, Texas*

375

78.7

2.7

(73.4–83.9)


TABLE 32. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

484

76.9

2.9

(71.2–82.5)

Grand Island, Nebraska

440

71.7

2.7

(66.4–76.9)

Grand Rapids-Wyoming, Michigan

298

76.8

3.0

(70.9–82.6)

Greensboro-High Point, North Carolina

584

78.4

2.2

(74.0–82.7)

Greenville, South Carolina

396

66.5

4.2

(58.2–74.7)

Hagerstown-Martinsburg, Maryland-West Virginia

339

72.6

3.2

(66.3–78.8)

Hartford-West Hartford-East Hartford, Connecticut

1,047

83.4

1.5

(80.4–86.3)

Hastings, Nebraska

320

66.1

3.6

(59.0–73.1)

Helena, Montana

323

72.2

2.8

(66.7–77.6)

Hickory-Morganton-Lenoir, North Carolina

292

76.1

3.0

(70.2–81.9)

Hilo, Hawaii

682

73.2

2.0

(69.2–77.1)

Hilton Head Island-Beaufort, South Carolina

384

78.2

2.8

(72.7–83.6)

Homosassa Springs, Florida

310

69.9

3.3

(63.4–76.3)

Honolulu, Hawaii

1,376

78.4

1.4

(75.6–81.1)

Houston-Sugar Land-Baytown, Texas

1,301

70.5

1.8

(66.9–74.0)

Huntington-Ashland, West Virginia-Kentucky-Ohio

352

68.1

3.3

(61.6–74.5)

Idaho Falls, Idaho

304

60.3

3.2

(54.0–66.5)

Indianapolis-Carmel, Indiana

1,117

73.8

1.8

(70.2–77.3)

Jackson, Mississippi

409

75.5

2.6

(70.4–80.5)

Jacksonville, Florida

1,280

78.0

1.9

(74.2–81.7)

Kahului-Wailuku, Hawaii

734

73.8

2.2

(69.4–78.1)

Kalispell, Montana

305

74.3

2.9

(68.6–79.9)

Kansas City, Missouri-Kansas

1,688

76.5

1.5

(73.5–79.4)

Kapaa, Hawaii

331

72.6

2.9

(66.9–78.2)

Kennewick-Richland-Pasco, Washington

295

74.0

3.2

(67.7–80.2)

Key West-Marathon, Florida

255

75.2

3.2

(68.9–81.4)

Kingsport-Bristol, Tennessee-Virginia

389

73.3

3.8

(65.8–80.7)

Knoxville, Tennessee

310

79.0

3.1

(72.9–85.0)

Lake City, Florida

279

67.1

4.2

(58.8–75.3)

Lakeland-Winter Haven, Florida

271

75.7

3.3

(69.2–82.1)

Laredo, Texas

398

61.0

2.8

(55.5–66.4)

Las Cruces, New Mexico

255

70.9

3.5

(64.0–77.7)

Las Vegas-Paradise, Nevada

563

66.8

2.4

(62.0–71.5)

Lebanon, New Hampshire-Vermont

780

79.5

1.6

(76.3–82.6)

Lewiston, Idaho-Washington

292

71.1

3.4

(64.4–77.7)

Lewiston-Auburn, Maine

258

79.3

3.2

(73.0–85.5)

Lincoln, Nebraska

551

74.2

2.3

(69.6–78.7)

Little Rock-North Little Rock, Arkansas

433

73.9

2.8

(68.4–79.3)

Los Angeles-Long Beach-Glendale, California*

1,083

81.3

1.4

(78.5–84.0)

Louisville, Kentucky-Indiana

468

74.8

2.6

(69.7–79.8)

Lubbock, Texas

397

76.8

2.7

(71.5–82.0)

Manchester-Nashua, New Hampshire

705

81.8

1.7

(78.4–85.1)

McAllen-Edinburg-Mission, Texas

290

66.8

3.3

(60.3–73.2)

Memphis, Tennessee-Mississippi-Arkansas

645

78.8

2.1

(74.6–82.9)

Miami-Fort Lauderdale-Miami Beach, Florida

532

79.6

2.3

(75.0–84.1)

Midland, Texas

285

63.8

3.5

(56.9–70.6)

Milwaukee-Waukesha-West Allis, Wisconsin

747

81.1

2.3

(76.5–85.6)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

2,285

81.4

1.2

(79.0–83.7)

Minot, North Dakota

277

81.4

2.5

(76.5–86.3)

Mobile, Alabama

355

78.9

2.6

(73.8–83.9)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

274

77.3

3.2

(71.0–83.5)

Naples-Marco Island, Florida

289

78.1

4.2

(69.8–86.3)

Nashville-Davidson-Murfreesboro, Tennessee

448

77.0

2.6

(71.9–82.0)

Nassau-Suffolk, New York*

512

76.6

2.3

(72.0–81.1)

Newark-Union, New Jersey-Pennsylvania*

1,603

78.5

1.4

(75.7–81.2)

New Haven-Milford, Connecticut

839

80.8

2.0

(76.8–84.7)

New Orleans-Metairie-Kenner, Louisiana

826

75.8

1.7

(72.4–79.1)

New York-White Plains-Wayne, New York-New Jersey*

2,815

78.9

1.0

(76.9–80.8)

Norfolk, Nebraska

361

69.0

2.6

(63.9–74.0)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

300

628

72.7

78.4

2.9

2.1

(67.0–78.3)

(74.2–82.5)

Ocala, Florida

300

76.2

3.0

(70.3–82.0)

Ocean City, New Jersey

265

81.8

2.9

(76.1–87.4)


TABLE 32. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

716

68.4

2.0

(64.4–72.3)

Oklahoma City, Oklahoma

1,254

70.8

1.5

(67.8–73.7)

Olympia, Washington

370

76.3

2.6

(71.2–81.3)

Omaha-Council Bluffs, Nebraska-Iowa

1,132

74.2

1.7

(70.8–77.5)

Orlando-Kissimmee, Florida

1,327

72.5

1.7

(69.1–75.8)

Palm Bay-Melbourne-Titusville, Florida

272

77.4

3.0

(71.5–83.2)

Panama City-Lynn Haven, Florida

Peabody, Massachusetts

261

1,002

77.7

88.0

3.4

1.7

(71.0–84.3)

(84.6–91.3)

Pensacola-Ferry Pass-Brent, Florida

517

78.7

2.3

(74.1–83.2)

Philadelphia, Pennsylvania*

1,207

77.0

1.7

(73.6–80.3)

Phoenix-Mesa-Scottsdale, Arizona

837

73.8

2.1

(69.6–77.9)

Pittsburgh, Pennsylvania

1,282

72.9

1.5

(69.9–75.8)

Portland-South Portland-Biddeford, Maine

1,345

81.7

1.3

(79.1–84.2)

Portland-Vancouver-Beaverton, Oregon-Washington

1,712

72.6

1.4

(69.8–75.3)

Port St. Lucie-Fort Pierce, Florida

519

73.8

2.5

(68.9–78.7)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

4,820

83.5

0.7

(82.1–84.8)

Provo-Orem, Utah

441

66.5

2.7

(61.2–71.7)

Raleigh-Cary, North Carolina

487

79.8

2.4

(75.0–84.5)

Rapid City, South Dakota

413

70.3

2.7

(65.0–75.5)

Reno-Sparks, Nevada

607

71.3

2.2

(66.9–75.6)

Richmond, Virginia

406

76.6

2.6

(71.5–81.6)

Riverside-San Bernardino-Ontario, California

778

75.8

1.9

(72.0–79.5)

Rochester, New York

319

78.5

2.9

(72.8–84.1)

Rockingham County-Strafford County, New Hampshire*

810

82.7

1.6

(79.5–85.8)

Rutland, Vermont

362

72.9

2.7

(67.6–78.1)

Sacramento-Arden-Arcade-Roseville, California

608

81.1

2.0

(77.1–85.0)

St. Louis, Missouri-Illinois

880

75.3

2.1

(71.1–79.4)

Salt Lake City, Utah

1,799

66.7

1.4

(63.9–69.4)

San Antonio, Texas

573

70.1

2.6

(65.0–75.1)

San Diego-Carlsbad-San Marcos, California

738

77.5

1.8

(73.9–81.0)

San Francisco-Oakland-Fremont, California

1,066

81.5

1.5

(78.5–84.4)

San Jose-Sunnyvale-Santa Clara, California

384

82.0

2.4

(77.2–86.7)

Santa Ana-Anaheim-Irvine, California*

653

81.0

1.9

(77.2–84.7)

Santa Fe, New Mexico

329

71.8

3.2

(65.5–78.0)

Scottsbluff, Nebraska

438

66.5

2.9

(60.8–72.1)

Scranton-Wilkes-Barre, Pennsylvania

286

72.8

3.2

(66.5–79.0)

Seaford, Delaware

664

82.9

1.8

(79.3–86.4)

Seattle-Bellevue-Everett, Washington*

2,299

76.6

1.1

(74.4–78.7)

Sebring, Florida

300

72.0

3.8

(64.5–79.4)

Shreveport-Bossier City, Louisiana

378

73.6

2.9

(67.9–79.2)

Sioux City, Iowa-Nebraska-South Dakota

597

76.3

3.2

(70.0–82.5)

Sioux Falls, South Dakota

404

83.2

2.1

(79.0–87.3)

Spokane, Washington

599

74.0

2.2

(69.6–78.3)

Springfield, Massachusetts

995

82.5

1.9

(78.7–86.2)

Tacoma, Washington*

844

74.2

1.9

(70.4–77.9)

Tallahassee, Florida

1,063

82.0

2.2

(77.6–86.3)

Tampa-St. Petersburg-Clearwater, Florida

1,073

77.6

1.8

(74.0–81.1)

Toledo, Ohio

427

79.2

2.4

(74.4–83.9)

Topeka, Kansas

414

78.8

2.3

(74.2–83.3)

Trenton-Ewing, New Jersey

243

83.1

2.8

(77.6–88.5)

Tucson, Arizona

389

78.5

2.7

(73.2–83.7)

Tulsa, Oklahoma

1,080

67.9

1.7

(64.5–71.2)

Tuscaloosa, Alabama

281

81.8

2.7

(76.5–87.0)

Twin Falls, Idaho

282

62.9

3.6

(55.8–69.9)

Tyler, Texas

350

78.6

2.5

(73.7–83.5)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

525

82.0

2.2

(77.6–86.3)

Warren-Troy-Farmington Hills, Michigan*

942

78.6

1.7

(75.2–81.9)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia*

2,920

81.2

1.8

(77.6–84.7)

Wauchula, Florida

284

64.5

3.5

(57.6–71.3)

West Palm Beach-Boca Raton-Boynton Beach, Florida*

285

84.5

2.7

(79.2–89.7)

Wichita, Kansas

906

77.9

1.6

(74.7–81.0)

Wichita Falls, Texas

439

74.5

2.7

(69.2–79.7)

Wilmington, Delaware-Maryland-New Jersey*

1,094

80.1

1.4

(77.3–82.8)


TABLE 32. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

985

82.7

1.8

(79.1–86.2)

Yakima, Washington

356

74.4

2.8

(68.9–79.8)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

577

72.9

3.3

(66.4–79.3)

Median

76.5

Range

60.3-86.2

Abbreviations: SE = standard error; CI = confidence interval.

* Metropolitan division.

Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 33. Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

324

78.3

3.0

(72.4–84.1)

Mobile County, Alabama

355

78.9

2.6

(73.8–83.9)

Tuscaloosa County, Alabama

233

82.8

2.8

(77.3–88.2)

Maricopa County, Arizona

628

74.3

2.2

(69.9–78.6)

Pima County, Arizona

389

78.5

2.7

(73.2–83.7)

Pinal County, Arizona

209

NA*

NA

NA

Benton County, Arkansas

173

NA

NA

NA

Pulaski County, Arkansas

298

79.9

3.3

(73.4–86.3)

Washington County, Arkansas

139

NA

NA

NA

Alameda County, California

318

82.2

3.0

(76.3–88.0)

Contra Costa County, California

316

79.8

2.9

(74.1–85.4)

Los Angeles County, California

1,083

81.3

1.4

(78.5–84.0)

Orange County, California

653

81.0

1.9

(77.2–84.7)

Placer County, California

122

78.7

4.6

(69.6–87.7)

Riverside County, California

391

76.5

2.9

(70.8–82.1)

Sacramento County, California

342

83.2

2.5

(78.3–88.1)

San Bernardino County, California

387

73.8

2.7

(68.5–79.0)

San Diego County, California

738

77.5

1.8

(73.9–81.0)

San Francisco County, California

148

78.7

4.1

(70.6–86.7)

San Mateo County, California

177

85.1

3.2

(78.8–91.3)

Santa Clara County, California

366

82.2

2.4

(77.4–86.9)

Adams County, Colorado

358

61.8

3.1

(55.7–67.8)

Arapahoe County, Colorado

379

74.0

2.6

(68.9–79.0)

Denver County, Colorado

436

68.6

2.6

(63.5–73.6)

Douglas County, Colorado

230

73.4

3.3

(66.9–79.8)

El Paso County, Colorado

460

74.7

2.4

(69.9–79.4)

Jefferson County, Colorado

548

73.7

2.2

(69.3–78.0)

Larimer County, Colorado

266

71.4

3.2

(65.1–77.6)

Fairfield County, Connecticut

1,059

80.8

1.7

(77.4–84.1)

Hartford County, Connecticut

779

82.7

1.8

(79.1–86.2)

Middlesex County, Connecticut

143

84.6

3.9

(76.9–92.2)

New Haven County, Connecticut

839

80.8

2.0

(76.8–84.7)

Tolland County, Connecticut

125

82.7

4.6

(73.6–91.7)

Kent County, Delaware

629

81.6

1.8

(78.0–85.1)

New Castle County, Delaware

887

81.2

1.5

(78.2–84.1)

Sussex County, Delaware

664

82.9

1.8

(79.3–86.4)

District of Columbia, District of Columbia

1,814

80.4

1.2

(78.0–82.7)

Alachua County, Florida

272

76.1

3.7

(68.8–83.3)

Baker County, Florida

265

NA

NA

NA

Bay County, Florida

261

77.7

3.4

(71.0–84.3)

Brevard County, Florida

272

77.4

3.0

(71.5–83.2)

Broward County, Florida

267

81.0

3.0

(75.1–86.8)

Citrus County, Florida

310

69.9

3.3

(63.4–76.3)

Clay County, Florida

219

71.7

3.7

(64.4–78.9)

Collier County, Florida

289

78.1

4.2

(69.8–86.3)

Columbia County, Florida

279

67.1

4.2

(58.8–75.3)

DeSoto County, Florida

269

74.9

3.5

(68.0–81.7)

Duval County, Florida

279

78.4

3.0

(72.5–84.2)

Escambia County, Florida

263

80.0

3.0

(74.1–85.8)

Gadsden County, Florida

283

81.2

2.9

(75.5–86.8)

Gilchrist County, Florida

212

NA

NA

NA

Hardee County, Florida

284

64.5

3.5

(57.6–71.3)

Hernando County, Florida

266

72.2

3.4

(65.5–78.8)

Highlands County, Florida

300

72.0

3.8

(64.5–79.4)

Hillsborough County, Florida

244

76.6

3.7

(69.3–83.8)

Jefferson County, Florida

281

75.4

3.3

(68.9–81.8)

Lake County, Florida

322

79.1

2.6

(74.0–84.1)

Lee County, Florida

275

73.7

3.6

(66.6–80.7)

Leon County, Florida

246

83.5

2.9

(77.8–89.1)

Manatee County, Florida

283

76.6

3.2

(70.3–82.8)

Marion County, Florida

300

76.2

3.0

(70.3–82.0)

Martin County, Florida

272

76.9

3.0

(71.0–82.7)

Miami-Dade County, Florida

265

78.9

3.4

(72.2–85.5)


TABLE 33. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

255

75.2

3.2

(68.9–81.4)

Nassau County, Florida

253

78.4

3.2

(72.1–84.6)

Orange County, Florida

479

71.0

2.8

(65.5–76.4)

Osceola County, Florida

282

70.5

4.1

(62.4–78.5)

Palm Beach County, Florida

285

84.5

2.7

(79.2–89.7)

Pasco County, Florida

301

76.8

3.3

(70.3–83.2)

Pinellas County, Florida

262

79.8

2.9

(74.1–85.4)

Polk County, Florida

271

75.7

3.3

(69.2–82.1)

St. Johns County, Florida

264

81.5

3.0

(75.6–87.3)

St. Lucie County, Florida

247

72.0

3.5

(65.1–78.8)

Santa Rosa County, Florida

254

76.8

3.3

(70.3–83.2)

Sarasota County, Florida

345

79.9

2.7

(74.6–85.1)

Seminole County, Florida

244

69.0

3.4

(62.3–75.6)

Volusia County, Florida

477

72.9

2.6

(67.8–77.9)

Wakulla County, Florida

253

NA

NA

NA

Cobb County, Georgia

126

86.6

3.3

(80.1–93.0)

DeKalb County, Georgia

174

79.4

3.9

(71.7–87.0)

Fulton County, Georgia

173

78.0

5.0

(68.2–87.8)

Gwinnett County, Georgia

109

81.2

4.8

(71.7–90.6)

Hawaii County, Hawaii

682

73.2

2.0

(69.2–77.1)

Honolulu County, Hawaii

1,376

78.4

1.4

(75.6–81.1)

Kauai County, Hawaii

331

72.6

2.9

(66.9–78.2)

Maui County, Hawaii

734

73.8

2.2

(69.4–78.1)

Ada County, Idaho

419

71.3

2.7

(66.0–76.5)

Bonneville County, Idaho

242

64.6

3.5

(57.7–71.4)

Canyon County, Idaho

274

65.7

3.4

(59.0–72.3)

Kootenai County, Idaho

280

69.2

3.6

(62.1–76.2)

Nez Perce County, Idaho

181

69.7

4.0

(61.8–77.5)

Twin Falls County, Idaho

222

63.7

4.1

(55.6–71.7)

Cook County, Illinois

1,484

76.5

1.4

(73.7–79.2)

DuPage County, Illinois

113

74.0

4.6

(64.9–83.0)

Allen County, Indiana

289

71.5

3.1

(65.4–77.5)

Lake County, Indiana

509

69.5

3.5

(62.6–76.3)

Marion County, Indiana

734

72.5

2.5

(67.6–77.4)

Linn County, Iowa

241

81.1

3.1

(75.0–87.1)

Polk County, Iowa

365

75.7

2.6

(70.6–80.7)

Johnson County, Kansas

668

81.8

1.8

(78.2–85.3)

Sedgwick County, Kansas

686

78.4

1.8

(74.8–81.9)

Shawnee County, Kansas

318

81.8

2.5

(76.9–86.7)

Wyandotte County, Kansas

327

73.4

3.2

(67.1–79.6)

Jefferson County, Kentucky

208

78.5

3.6

(71.4–85.5)

Caddo Parish, Louisiana

245

74.1

3.5

(67.2–80.9)

East Baton Rouge Parish, Louisiana

388

84.0

2.1

(79.8–88.1)

Jefferson Parish, Louisiana

333

76.3

3.0

(70.4–82.1)

Orleans Parish, Louisiana

208

76.4

3.6

(69.3–83.4)

St. Tammany Parish, Louisiana

193

77.3

3.4

(70.6–83.9)

Androscoggin County, Maine

258

79.3

3.2

(73.0–85.5)

Cumberland County, Maine

725

82.2

1.7

(78.8–85.5)

Kennebec County, Maine

348

84.1

2.2

(79.7–88.4)

Penobscot County, Maine

365

86.2

2.1

(82.0–90.3)

Sagadahoc County, Maine

151

75.3

4.8

(65.8–84.7)

York County, Maine

469

82.3

2.1

(78.1–86.4)

Anne Arundel County, Maryland

293

77.3

2.9

(71.6–82.9)

Baltimore County, Maryland

512

80.9

2.0

(76.9–84.8)

Cecil County, Maryland

118

78.8

4.3

(70.3–87.2)

Charles County, Maryland

155

84.6

3.4

(77.9–91.2)

Frederick County, Maryland

285

80.2

2.7

(74.9–85.4)

Harford County, Maryland

141

84.4

3.4

(77.7–91.0)

Howard County, Maryland

165

89.5

2.5

(84.6–94.4)

Montgomery County, Maryland

512

81.0

2.3

(76.4–85.5)

Prince George´s County, Maryland

374

78.4

2.9

(72.7–84.0)

Queen Anne´s County, Maryland

134

89.7

3.2

(83.4–95.9)

Washington County, Maryland

217

77.3

3.5

(70.4–84.1)


TABLE 33. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

311

80.6

2.8

(75.1–86.0)

Bristol County, Massachusetts

1,379

88.2

1.6

(85.0–91.3)

Essex County, Massachusetts

1,002

87.8

1.7

(84.4–91.1)

Hampden County, Massachusetts

780

83.3

2.3

(78.7–87.8)

Hampshire County, Massachusetts

126

81.3

5.0

(71.5–91.1)

Middlesex County, Massachusetts

1,337

86.2

1.3

(83.6–88.7)

Norfolk County, Massachusetts

421

85.4

2.0

(81.4–89.3)

Plymouth County, Massachusetts

342

87.3

1.9

(83.5–91.0)

Suffolk County, Massachusetts

836

84.6

1.9

(80.8–88.3)

Worcester County, Massachusetts

985

82.7

1.8

(79.1–86.2)

Kent County, Michigan

222

76.7

3.6

(69.6–83.7)

Macomb County, Michigan

253

83.2

2.7

(77.9–88.4)

Oakland County, Michigan

493

78.3

2.4

(73.5–83.0)

Wayne County, Michigan

1,088

76.7

2.1

(72.5–80.8)

Anoka County, Minnesota

180

87.1

3.0

(81.2–92.9)

Dakota County, Minnesota

267

77.2

3.4

(70.5–83.8)

Hennepin County, Minnesota

965

83.7

1.9

(79.9–87.4)

Ramsey County, Minnesota

462

81.7

2.8

(76.2–87.1)

Washington County, Minnesota

113

80.8

4.4

(72.1–89.4)

DeSoto County, Mississippi

222

65.2

4.6

(56.1–74.2)

Hinds County, Mississippi

199

74.3

3.8

(66.8–81.7)

Jackson County, Missouri

265

74.1

3.3

(67.6–80.5)

St. Louis County, Missouri

302

80.9

3.2

(74.6–87.1)

St. Louis city, Missouri

332

71.6

3.9

(63.9–79.2)

Flathead County, Montana

305

74.3

2.9

(68.6–79.9)

Lewis and Clark County, Montana

269

71.7

3.4

(65.0–78.3)

Yellowstone County, Montana

260

71.5

3.5

(64.6–78.3)

Adams County, Nebraska

269

64.5

4.1

(56.4–72.5)

Dakota County, Nebraska

364

63.0

3.1

(56.9–69.0)

Douglas County, Nebraska

468

76.4

2.4

(71.6–81.1)

Hall County, Nebraska

298

71.6

3.3

(65.1–78.0)

Lancaster County, Nebraska

406

74.7

2.5

(69.8–79.6)

Lincoln County, Nebraska

280

74.7

2.9

(69.0–80.3)

Madison County, Nebraska

256

67.6

3.1

(61.5–73.6)

Sarpy County, Nebraska

275

77.9

3.3

(71.4–84.3)

Scotts Bluff County, Nebraska

427

66.1

3.0

(60.2–71.9)

Seward County, Nebraska

145

68.4

4.9

(58.7–78.0)

Clark County, Nevada

563

66.8

2.4

(62.0–71.5)

Washoe County, Nevada

599

70.9

2.2

(66.5–75.2)

Grafton County, New Hampshire

256

81.5

2.7

(76.2–86.7)

Hillsborough County, New Hampshire

705

81.8

1.7

(78.4–85.1)

Merrimack County, New Hampshire

366

81.7

2.4

(76.9–86.4)

Rockingham County, New Hampshire

517

82.8

2.0

(78.8–86.7)

Strafford County, New Hampshire

293

83.1

2.5

(78.2–88.0)

Atlantic County, New Jersey

416

79.2

2.5

(74.3–84.1)

Bergen County, New Jersey

300

73.9

3.2

(67.6–80.1)

Burlington County, New Jersey

302

77.6

2.8

(72.1–83.0)

Camden County, New Jersey

294

70.0

4.1

(61.9–78.0)

Cape May County, New Jersey

265

81.8

2.9

(76.1–87.4)

Essex County, New Jersey

490

80.6

2.3

(76.0–85.1)

Gloucester County, New Jersey

248

78.2

3.2

(71.9–84.4)

Hudson County, New Jersey

451

74.0

2.6

(68.9–79.0)

Hunterdon County, New Jersey

262

81.6

2.6

(76.5–86.6)

Mercer County, New Jersey

243

83.1

2.8

(77.6–88.5)

Middlesex County, New Jersey

296

75.9

3.5

(69.0–82.7)

Monmouth County, New Jersey

275

82.5

2.7

(77.2–87.7)

Morris County, New Jersey

321

75.1

3.1

(69.0–81.1)

Ocean County, New Jersey

279

75.1

3.0

(69.2–80.9)

Passaic County, New Jersey

210

75.2

3.5

(68.3–82.0)

Somerset County, New Jersey

253

82.0

2.6

(76.9–87.0)

Sussex County, New Jersey

232

80.0

3.2

(73.7–86.2)

Union County, New Jersey

267

77.7

3.1

(71.6–83.7)

Warren County, New Jersey

226

74.6

3.5

(67.7–81.4)


TABLE 33. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

625

77.6

2.0

(73.6–81.5)

Dona Ana County, New Mexico

255

70.9

3.5

(64.0–77.7)

Sandoval County, New Mexico

272

73.0

3.4

(66.3–79.6)

San Juan County, New Mexico

312

66.1

3.7

(58.8–73.3)

Santa Fe County, New Mexico

329

71.8

3.2

(65.5–78.0)

Valencia County, New Mexico

188

NA

NA

NA

Bronx County, New York

200

84.3

2.9

(78.6–89.9)

Erie County, New York

257

80.8

3.0

(74.9–86.6)

Kings County, New York

392

79.1

2.4

(74.3–83.8)

Monroe County, New York

218

80.3

4.0

(72.4–88.1)

Nassau County, New York

232

78.4

3.2

(72.1–84.6)

New York County, New York

519

78.4

2.4

(73.6–83.1)

Queens County, New York

361

77.2

2.7

(71.9–82.4)

Suffolk County, New York

280

76.7

2.9

(71.0–82.3)

Westchester County, New York

196

83.9

3.2

(77.6–90.1)

Buncombe County, North Carolina

142

79.5

4.7

(70.2–88.7)

Cabarrus County, North Carolina

152

83.0

3.5

(76.1–89.8)

Catawba County, North Carolina

137

73.9

4.8

(64.4–83.3)

Durham County, North Carolina

322

79.2

2.9

(73.5–84.8)

Gaston County, North Carolina

148

77.1

4.8

(67.6–86.5)

Guilford County, North Carolina

353

78.6

2.8

(73.1–84.0)

Johnston County, North Carolina

132

NA

NA

NA

Mecklenburg County, North Carolina

321

76.7

2.9

(71.0–82.3)

Orange County, North Carolina

161

79.8

3.8

(72.3–87.2)

Randolph County, North Carolina

197

76.3

3.5

(69.4–83.1)

Union County, North Carolina

157

72.2

4.8

(62.7–81.6)

Wake County, North Carolina

336

81.3

2.6

(76.2–86.3)

Burleigh County, North Dakota

267

74.6

3.0

(68.7–80.4)

Cass County, North Dakota

364

77.9

2.5

(73.0–82.8)

Ward County, North Dakota

233

84.3

2.5

(79.4–89.2)

Cuyahoga County, Ohio

366

77.5

2.7

(72.2–82.7)

Franklin County, Ohio

310

75.8

2.8

(70.3–81.2)

Hamilton County, Ohio

374

71.3

2.8

(65.8–76.7)

Lucas County, Ohio

364

75.1

2.5

(70.2–80.0)

Mahoning County, Ohio

406

74.2

2.6

(69.1–79.2)

Montgomery County, Ohio

368

77.5

2.7

(72.2–82.7)

Stark County, Ohio

373

80.4

2.5

(75.5–85.3)

Summit County, Ohio

362

71.7

2.9

(66.0–77.3)

Cleveland County, Oklahoma

210

75.7

3.5

(68.8–82.5)

Oklahoma County, Oklahoma

730

70.9

2.0

(66.9–74.8)

Tulsa County, Oklahoma

763

67.0

2.0

(63.0–70.9)

Clackamas County, Oregon

228

73.0

3.7

(65.7–80.2)

Lane County, Oregon

268

72.6

3.2

(66.3–78.8)

Multnomah County, Oregon

403

72.4

2.9

(66.7–78.0)

Washington County, Oregon

274

71.6

3.1

(65.5–77.6)

Allegheny County, Pennsylvania

737

75.0

2.0

(71.0–78.9)

Lehigh County, Pennsylvania

129

NA

NA

NA

Luzerne County, Pennsylvania

164

68.2

4.5

(59.3–77.0)

Montgomery County, Pennsylvania

170

76.9

3.7

(69.6–84.1)

Northampton County, Pennsylvania

134

71.7

5.1

(61.7–81.6)

Philadelphia County, Pennsylvania

736

77.7

1.9

(73.9–81.4)

Westmoreland County, Pennsylvania

184

72.7

3.9

(65.0–80.3)

Bristol County, Rhode Island

142

86.5

3.2

(80.2–92.7)

Kent County, Rhode Island

493

79.9

2.1

(75.7–84.0)

Newport County, Rhode Island

253

80.3

2.9

(74.6–85.9)

Providence County, Rhode Island

2,144

82.2

1.0

(80.2–84.1)

Washington County, Rhode Island

409

81.5

2.5

(76.6–86.4)

Aiken County, South Carolina

235

78.4

3.2

(72.1–84.6)

Beaufort County, South Carolina

327

78.7

2.9

(73.0–84.3)

Berkeley County, South Carolina

187

NA

NA

NA

Charleston County, South Carolina

353

77.4

3.6

(70.3–84.4)

Greenville County, South Carolina

258

68.8

4.5

(59.9–77.6)

Horry County, South Carolina

274

77.3

3.1

(71.2–83.3)


TABLE 33. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

347

78.5

4.4

(69.8–87.1)

Minnehaha County, South Dakota

299

82.8

2.4

(78.0–87.5)

Pennington County, South Dakota

331

71.8

3.0

(65.9–77.6)

Davidson County, Tennessee

233

73.1

3.9

(65.4–80.7)

Hamilton County, Tennessee

236

86.5

2.6

(81.4–91.5)

Knox County, Tennessee

217

75.4

3.8

(67.9–82.8)

Shelby County, Tennessee

225

83.4

3.0

(77.5–89.2)

Sullivan County, Tennessee

273

75.3

3.9

(67.6–82.9)

Bexar County, Texas

499

72.5

2.5

(67.6–77.4)

Dallas County, Texas

194

75.4

3.8

(67.9–82.8)

El Paso County, Texas

419

71.4

2.7

(66.1–76.6)

Fort Bend County, Texas

433

69.7

2.9

(64.0–75.3)

Harris County, Texas

697

71.1

2.0

(67.1–75.0)

Hidalgo County, Texas

290

66.8

3.3

(60.3–73.2)

Lubbock County, Texas

387

77.1

2.7

(71.8–82.3)

Midland County, Texas

285

63.8

3.5

(56.9–70.6)

Potter County, Texas

171

75.5

3.7

(68.2–82.7)

Randall County, Texas

239

69.0

3.7

(61.7–76.2)

Smith County, Texas

350

78.6

2.5

(73.7–83.5)

Tarrant County, Texas

306

77.8

2.9

(72.1–83.4)

Travis County, Texas

359

NA

NA

NA

Val Verde County, Texas

296

NA

NA

NA

Webb County, Texas

398

61.0

2.8

(55.5–66.4)

Wichita County, Texas

354

75.9

2.9

(70.2–81.5)

Davis County, Utah

359

66.6

2.9

(60.9–72.2)

Salt Lake County, Utah

1,388

66.8

1.5

(63.8–69.7)

Summit County, Utah

191

73.9

3.5

(67.0–80.7)

Tooele County, Utah

220

59.3

3.8

(51.8–66.7)

Utah County, Utah

416

66.3

2.7

(61.0–71.5)

Weber County, Utah

339

71.7

2.9

(66.0–77.3)

Chittenden County, Vermont

714

77.4

1.8

(73.8–80.9)

Franklin County, Vermont

197

79.5

3.0

(73.6–85.3)

Orange County, Vermont

166

81.0

3.6

(73.9–88.0)

Rutland County, Vermont

362

72.9

2.7

(67.6–78.1)

Washington County, Vermont

343

81.3

2.4

(76.5–86.0)

Windsor County, Vermont

358

75.9

2.6

(70.8–80.9)

Benton County, Washington

180

73.5

4.1

(65.4–81.5)

Clark County, Washington

550

76.4

2.2

(72.0–80.7)

Franklin County, Washington

115

73.7

5.0

(63.9–83.5)

King County, Washington

1,496

76.8

1.3

(74.2–79.3)

Kitsap County, Washington

444

72.7

2.5

(67.8–77.6)

Pierce County, Washington

844

73.6

1.9

(69.8–77.3)

Snohomish County, Washington

803

77.1

1.7

(73.7–80.4)

Spokane County, Washington

599

74.0

2.2

(69.6–78.3)

Thurston County, Washington

370

76.3

2.6

(71.2–81.3)

Yakima County, Washington

356

74.4

2.8

(68.9–79.8)

Kanawha County, West Virginia

264

84.2

2.5

(79.3–89.1)

Milwaukee County, Wisconsin

597

78.6

3.0

(72.7–84.4)

Laramie County, Wyoming

470

76.6

2.5

(71.7–81.5)

Natrona County, Wyoming

369

65.3

3.1

(59.2–71.3)

Median

77.1

Range

59.3-89.7

Abbreviations: SE = standard error; CI = confidence interval.

* Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 34. Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

7,624

21.9

0.8

(20.4–23.4)

Alaska

1,945

20.4

1.6

(17.3–23.4)

Arizona

5,729

15.0

0.9

(13.3–16.8)

Arkansas

4,001

22.9

1.2

(20.6–25.2)

California

16,937

12.1

0.4

(11.4–12.8)

Colorado

11,582

16.0

0.6

(14.9–17.1)

Connecticut

6,723

13.2

0.7

(11.8–14.6)

Delaware

4,226

17.3

0.9

(15.5–19.1)

District of Columbia

3,951

15.6

0.8

(14.1–17.2)

Florida

34,920

17.1

0.5

(16.1–18.1)

Georgia

5,763

17.6

0.8

(16.0–19.2)

Hawaii

6,534

14.5

0.7

(13.2–15.8)

Idaho

6,985

15.7

0.7

(14.3–17.0)

Illinois

5,195

16.9

0.8

(15.3–18.5)

Indiana

10,154

21.2

0.7

(19.9–22.5)

Iowa

6,077

16.1

0.7

(14.8–17.5)

Kansas

8,527

17.0

0.6

(15.8–18.2)

Kentucky

8,030

24.8

0.9

(23.1–26.5)

Louisiana

7,005

22.1

0.8

(20.6–23.6)

Maine

8,073

18.2

0.6

(17.0–19.5)

Maryland

9,149

15.2

0.6

(14.0–16.5)

Massachusetts

16,219

14.1

0.5

(13.2–15.0)

Michigan

8,840

18.9

0.6

(17.7–20.2)

Minnesota

8,933

14.9

0.7

(13.5–16.3)

Mississippi

8,052

22.9

0.8

(21.4–24.5)

Missouri

5,408

21.1

0.9

(19.2–22.9)

Montana

7,287

18.8

0.9

(17.1–20.5)

Nebraska

16,348

17.2

0.7

(15.8–18.7)

Nevada

3,905

21.3

1.1

(19.1–23.6)

New Hampshire

6,023

16.9

0.7

(15.5–18.2)

New Jersey

12,370

14.4

0.5

(13.4–15.4)

New Mexico

6,976

18.5

0.8

(16.8–20.1)

New York

8,899

15.5

0.5

(14.4–16.5)

North Carolina

12,085

19.8

0.7

(18.5–21.1)

North Dakota

4,749

17.4

0.9

(15.7–19.1)

Ohio

9,804

22.5

0.7

(21.2–23.9)

Oklahoma

7,724

23.7

0.7

(22.3–25.0)

Oregon

5,039

15.1

0.8

(13.5–16.7)

Pennsylvania

11,170

18.4

0.5

(17.4–19.5)

Rhode Island

6,577

15.7

0.7

(14.3–17.1)

South Carolina

9,366

21.0

0.9

(19.1–22.8)

South Dakota

6,695

15.4

0.7

(14.0–16.8)

Tennessee

5,739

20.1

0.9

(18.3–21.8)

Texas

17,967

15.8

0.6

(14.6–17.0)

Utah

10,129

9.1

0.5

(8.2–10.0)

Vermont

6,765

15.4

0.6

(14.1–16.6)

Virginia

5,358

18.5

1.3

(16.0–21.0)

Washington

19,496

15.2

0.4

(14.4–16.0)

West Virginia

4,393

26.8

0.9

(25.0–28.6)

Wisconsin

4,766

19.1

1.0

(17.0–21.1)

Wyoming

5,815

19.5

0.8

(18.0–21.1)

Guam

783

25.8

2.1

(21.7–29.9)

Puerto Rico

3,540

11.9

0.8

(10.2–13.5)

Virgin Islands

1,813

5.8

0.7

(4.4–7.2)

Median

17.3

Range

5.8-26.8

Abbreviations: SE = standard error; CI = confidence interval.

* Smoked everyday or someday during the period of survey.


TABLE 35. Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

808

25.5

2.8

(20.0–30.9)

Albuquerque, New Mexico

2,189

19.4

1.5

(16.4–22.3)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

1,085

16.8

1.7

(13.4–20.1)

Amarillo, Texas

829

21.3

2.3

(16.7–25.8)

Arcadia, Florida

501

24.3

4.0

(16.4–32.1)

Asheville, North Carolina

548

17.4

2.6

(12.3–22.4)

Atlanta-Sandy Springs-Marietta, Georgia

2,344

14.9

1.2

(12.5–17.2)

Atlantic City, New Jersey

921

19.4

1.9

(15.6–23.1)

Augusta-Richmond County, Georgia-South Carolina

868

19.8

2.3

(15.2–24.3)

Augusta-Waterville, Maine

650

20.7

2.3

(16.1–25.2)

Austin-Round Rock, Texas

968

10.4

2.4

(5.6–15.1)

Baltimore-Towson, Maryland

3,329

17.3

1.1

(15.1–19.4)

Bangor, Maine

687

15.4

1.8

(11.8–18.9)

Barre, Vermont

668

14.3

1.8

(10.7–17.8)

Baton Rouge, Louisiana

1,197

15.9

1.4

(13.1–18.6)

Bethesda-Gaithersburg-Frederick, Maryland

1,634

8.4

1.0

(6.4–10.3)

Billings, Montana

535

16.0

2.4

(11.2–20.7)

Birmingham-Hoover, Alabama

1,191

21.2

1.8

(17.6–24.7)

Bismarck, North Dakota

770

13.9

1.7

(10.5–17.2)

Boise City-Nampa, Idaho

1,658

15.2

1.3

(12.6–17.7)

Boston-Quincy, Massachusetts

3,288

14.4

1.0

(12.4–16.3)

Bremerton-Silverdale, Washington

914

17.0

1.8

(13.4–20.5)

Bridgeport-Stamford-Norwalk, Connecticut

2,164

10.0

1.1

(7.8–12.1)

Buffalo-Cheektowaga-Tonawanda, New York

603

23.8

2.8

(18.3–29.2)

Burlington-South Burlington, Vermont

1,990

14.6

1.2

(12.2–16.9)

Cambridge-Newton-Framingham, Massachusetts

3,006

10.7

1.0

(8.7–12.6)

Camden, New Jersey

1,694

18.5

1.4

(15.7–21.2)

Canton-Massillon, Ohio

745

23.4

2.4

(18.6–28.1)

Cape Coral-Fort Myers, Florida

513

27.1

4.2

(18.8–35.3)

Casper, Wyoming

767

25.6

2.4

(20.8–30.3)

Cedar Rapids, Iowa

559

14.6

2.0

(10.6–18.5)

Charleston, West Virginia

769

24.1

2.1

(19.9–28.2)

Charleston-North Charleston, South Carolina

1,148

21.8

2.7

(16.5–27.0)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,704

16.5

1.4

(13.7–19.2)

Chattanooga, Tennessee-Georgia

537

16.7

2.5

(11.8–21.6)

Cheyenne, Wyoming

907

22.3

1.9

(18.5–26.0)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

5,008

16.8

0.9

(15.0–18.5)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,788

21.9

2.0

(17.9–25.8)

Cleveland-Elyria-Mentor, Ohio

1,094

20.5

1.8

(16.9–24.0)

Coeur d´Alene, Idaho

568

17.4

2.7

(12.1–22.6)

Colorado Springs, Colorado

1,164

17.9

1.7

(14.5–21.2)

Columbia, South Carolina

1,135

21.8

2.4

(17.0–26.5)

Columbus, Ohio

1,384

20.0

1.5

(17.0–22.9)

Concord, New Hampshire

635

13.2

2.1

(9.0–17.3)

Dallas-Plano-Irving, Texas

717

14.6

2.0

(10.6–18.5)

Dayton, Ohio

851

20.7

2.3

(16.1–25.2)

Del Rio, Texas

556

10.6

1.8

(7.0–14.1)

Deltona-Daytona Beach-Ormond Beach, Florida

859

23.3

2.6

(18.2–28.3)

Denver-Aurora, Colorado

4,806

14.6

0.8

(13.0–16.1)

Des Moines-West Des Moines, Iowa

1,000

15.8

1.6

(12.6–18.9)

Detroit-Livonia-Dearborn, Michigan

1,905

20.2

1.5

(17.2–23.1)

Dover, Delaware

1,250

20.0

1.6

(16.8–23.1)

Durham, North Carolina

1,030

12.2

1.5

(9.2–15.1)

Edison, New Jersey

2,258

10.9

0.9

(9.1–12.6)

El Paso, Texas

865

14.4

1.5

(11.4–17.3)

Eugene-Springfield, Oregon

510

19.5

2.8

(14.0–24.9)

Evansville, Indiana-Kentucky

534

17.9

2.5

(13.0–22.8)

Fargo, North Dakota-Minnesota

829

12.0

2.1

(7.8–16.1)

Farmington, New Mexico

684

20.4

2.3

(15.8–24.9)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

698

19.5

2.6

(14.4–24.5)

Fort Collins-Loveland, Colorado

557

17.2

2.9

(11.5–22.8)

Fort Wayne, Indiana

713

18.2

1.9

(14.4–21.9)

Fort Worth-Arlington, Texas

735

14.6

2.2

(10.2–18.9)


TABLE 35. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

946

13.8

2.3

(9.2–18.3)

Grand Island, Nebraska

861

15.2

1.8

(11.6–18.7)

Grand Rapids-Wyoming, Michigan

622

19.2

2.4

(14.4–23.9)

Greensboro-High Point, North Carolina

1,154

20.2

2.3

(15.6–24.7)

Greenville, South Carolina

779

17.0

2.5

(12.1–21.9)

Hagerstown-Martinsburg, Maryland-West Virginia

644

23.4

2.8

(17.9–28.8)

Hartford-West Hartford-East Hartford, Connecticut

2,011

13.1

1.3

(10.5–15.6)

Hastings, Nebraska

588

14.0

2.2

(9.6–18.3)

Helena, Montana

641

17.3

2.4

(12.5–22.0)

Hickory-Morganton-Lenoir, North Carolina

600

22.4

2.6

(17.3–27.4)

Hilo, Hawaii

1,477

20.0

1.6

(16.8–23.1)

Hilton Head Island-Beaufort, South Carolina

800

19.2

2.2

(14.8–23.5)

Homosassa Springs, Florida

531

21.6

2.7

(16.3–26.8)

Honolulu, Hawaii

2,950

13.1

0.9

(11.3–14.8)

Houston-Sugar Land-Baytown, Texas

2,728

16.2

1.4

(13.4–18.9)

Huntington-Ashland, West Virginia-Kentucky-Ohio

656

27.3

2.6

(22.2–32.3)

Idaho Falls, Idaho

664

11.9

1.7

(8.5–15.2)

Indianapolis-Carmel, Indiana

2,245

19.8

1.3

(17.2–22.3)

Jackson, Mississippi

760

19.4

2.0

(15.4–23.3)

Jacksonville, Florida

2,578

17.7

1.5

(14.7–20.6)

Kahului-Wailuku, Hawaii

1,462

15.8

1.6

(12.6–18.9)

Kalispell, Montana

700

18.6

2.2

(14.2–22.9)

Kansas City, Missouri-Kansas

3,375

19.1

1.2

(16.7–21.4)

Kapaa, Hawaii

645

18.5

2.5

(13.6–23.4)

Kennewick-Richland-Pasco, Washington

641

8.8

1.6

(5.6–11.9)

Key West-Marathon, Florida

503

21.4

2.8

(15.9–26.8)

Kingsport-Bristol, Tennessee-Virginia

655

21.5

3.0

(15.6–27.3)

Knoxville, Tennessee

528

21.2

2.8

(15.7–26.6)

Lake City, Florida

566

27.9

2.8

(22.4–33.3)

Lakeland-Winter Haven, Florida

520

21.5

2.6

(16.4–26.5)

Laredo, Texas

914

15.8

1.6

(12.6–18.9)

Las Cruces, New Mexico

504

11.9

2.0

(7.9–15.8)

Las Vegas-Paradise, Nevada

1,266

22.1

1.6

(18.9–25.2)

Lebanon, New Hampshire-Vermont

1,549

16.9

1.5

(13.9–19.8)

Lewiston, Idaho-Washington

601

22.9

2.6

(17.8–27.9)

Lewiston-Auburn, Maine

498

13.8

2.0

(9.8–17.7)

Lincoln, Nebraska

1,127

17.4

2.2

(13.0–21.7)

Little Rock-North Little Rock, Arkansas

819

19.9

2.6

(14.8–24.9)

Los Angeles-Long Beach-Glendale, California

2,464

11.7

0.9

(9.9–13.4)

Louisville, Kentucky-Indiana

907

22.9

2.0

(18.9–26.8)

Lubbock, Texas

781

21.9

2.6

(16.8–26.9)

Manchester-Nashua, New Hampshire

1,417

16.9

1.5

(13.9–19.8)

McAllen-Edinburg-Mission, Texas

593

12.6

2.2

(8.2–16.9)

Memphis, Tennessee-Mississippi-Arkansas

1,150

17.3

2.3

(12.7–21.8)

Miami-Fort Lauderdale-Miami Beach, Florida

1,025

12.4

1.7

(9.0–15.7)

Midland, Texas

522

18.4

2.4

(13.6–23.1)

Milwaukee-Waukesha-West Allis, Wisconsin

1,530

20.5

2.1

(16.3–24.6)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

4,848

15.2

1.1

(13.0–17.3)

Minot, North Dakota

555

13.5

1.8

(9.9–17.0)

Mobile, Alabama

677

25.0

2.8

(19.5–30.4)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

552

23.4

2.9

(17.7–29.0)

Naples-Marco Island, Florida

518

16.9

3.4

(10.2–23.5)

Nashville-Davidson-Murfreesboro, Tennessee

827

17.4

2.1

(13.2–21.5)

Nassau-Suffolk, New York

1,067

13.7

1.4

(10.9–16.4)

Newark-Union, New Jersey-Pennsylvania

3,296

14.1

1.1

(11.9–16.2)

New Haven-Milford, Connecticut

1,665

15.6

1.6

(12.4–18.7)

New Orleans-Metairie-Kenner, Louisiana

1,531

20.3

1.5

(17.3–23.2)

New York-White Plains-Wayne, New York-New Jersey

6,170

13.7

0.7

(12.3–15.0)

Norfolk, Nebraska

677

15.9

2.4

(11.1–20.6)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

578

1,127

17.2

18.3

2.3

2.0

(12.6–21.7)

(14.3–22.2)

Ocala, Florida

588

23.8

3.0

(17.9–29.6)

Ocean City, New Jersey

521

20.6

2.5

(15.7–25.5)


TABLE 35. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

1,693

8.1

0.9

(6.3–9.8)

Oklahoma City, Oklahoma

2,470

22.7

1.2

(20.3–25.0)

Olympia, Washington

775

18.6

2.1

(14.4–22.7)

Omaha-Council Bluffs, Nebraska-Iowa

2,355

19.0

1.3

(16.4–21.5)

Orlando-Kissimmee, Florida

2,668

15.8

1.2

(13.4–18.1)

Palm Bay-Melbourne-Titusville, Florida

523

20.4

3.0

(14.5–26.2)

Panama City-Lynn Haven, Florida

Peabody, Massachusetts

541

2,126

15.9

12.6

2.1

1.5

(11.7–20.0)

(9.6–15.5)

Pensacola-Ferry Pass-Brent, Florida

1,012

22.6

1.9

(18.8–26.3)

Philadelphia, Pennsylvania

2,347

15.9

1.1

(13.7–18.0)

Phoenix-Mesa-Scottsdale, Arizona

1,681

14.8

1.5

(11.8–17.7)

Pittsburgh, Pennsylvania

2,415

17.2

1.0

(15.2–19.1)

Portland-South Portland-Biddeford, Maine

2,611

17.2

1.1

(15.0–19.3)

Portland-Vancouver-Beaverton, Oregon-Washington

3,390

13.9

1.1

(11.7–16.0)

Port St. Lucie-Fort Pierce, Florida

1,021

17.9

2.2

(13.5–22.2)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

9,498

16.7

0.7

(15.3–18.0)

Provo-Orem, Utah

1,176

5.8

1.2

(3.4–8.1)

Raleigh-Cary, North Carolina

1,025

16.6

1.9

(12.8–20.3)

Rapid City, South Dakota

846

17.5

1.7

(14.1–20.8)

Reno-Sparks, Nevada

1,325

19.1

1.5

(16.1–22.0)

Richmond, Virginia

796

19.6

2.7

(14.3–24.8)

Riverside-San Bernardino-Ontario, California

1,804

14.0

1.2

(11.6–16.3)

Rochester, New York

564

13.7

2.0

(9.7–17.6)

Rockingham County-Strafford County, New Hampshire

1,604

16.5

1.3

(13.9–19.0)

Rutland, Vermont

652

19.0

2.3

(14.4–23.5)

Sacramento-Arden-Arcade-Roseville, California

1,234

10.9

1.3

(8.3–13.4)

St. Louis, Missouri-Illinois

1,747

17.8

1.6

(14.6–20.9)

Salt Lake City, Utah

4,296

10.8

0.7

(9.4–12.1)

San Antonio, Texas

1,127

17.0

1.9

(13.2–20.7)

San Diego-Carlsbad-San Marcos, California

1,619

13.0

1.2

(10.6–15.3)

San Francisco-Oakland-Fremont, California

2,244

9.5

0.8

(7.9–11.0)

San Jose-Sunnyvale-Santa Clara, California

876

8.0

1.4

(5.2–10.7)

Santa Ana-Anaheim-Irvine, California

1,383

9.0

1.2

(6.6–11.3)

Santa Fe, New Mexico

607

19.8

2.5

(14.9–24.7)

Scottsbluff, Nebraska

760

20.7

2.5

(15.8–25.6)

Scranton-Wilkes-Barre, Pennsylvania

551

24.3

2.6

(19.2–29.3)

Seaford, Delaware

1,232

19.1

1.7

(15.7–22.4)

Seattle-Bellevue-Everett, Washington

4,668

12.9

0.7

(11.5–14.2)

Sebring, Florida

517

20.5

3.2

(14.2–26.7)

Shreveport-Bossier City, Louisiana

683

27.0

2.6

(21.9–32.0)

Sioux City, Iowa-Nebraska-South Dakota

1,217

18.1

2.3

(13.5–22.6)

Sioux Falls, South Dakota

835

11.7

1.5

(8.7–14.6)

Spokane, Washington

1,213

16.6

1.7

(13.2–19.9)

Springfield, Massachusetts

2,046

18.3

1.7

(14.9–21.6)

Tacoma, Washington

1,715

16.8

1.2

(14.4–19.1)

Tallahassee, Florida

2,042

17.1

2.1

(12.9–21.2)

Tampa-St. Petersburg-Clearwater, Florida

2,027

20.5

1.7

(17.1–23.8)

Toledo, Ohio

859

21.2

2.0

(17.2–25.1)

Topeka, Kansas

831

17.4

1.8

(13.8–20.9)

Trenton-Ewing, New Jersey

502

11.5

1.8

(7.9–15.0)

Tucson, Arizona

694

15.5

2.5

(10.6–20.4)

Tulsa, Oklahoma

2,136

24.3

1.4

(21.5–27.0)

Tuscaloosa, Alabama

515

28.5

3.5

(21.6–35.3)

Twin Falls, Idaho

536

14.0

2.1

(9.8–18.1)

Tyler, Texas

665

21.9

3.3

(15.4–28.3)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

1,100

21.8

2.6

(16.7–26.8)

Warren-Troy-Farmington Hills, Michigan

1,798

15.0

1.2

(12.6–17.3)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia

6,412

13.0

1.3

(10.4–15.5)

Wauchula, Florida

529

16.0

2.8

(10.5–21.4)

West Palm Beach-Boca Raton-Boynton Beach, Florida

552

8.8

1.6

(5.6–11.9)

Wichita, Kansas

1,842

18.8

1.4

(16.0–21.5)

Wichita Falls, Texas

826

20.3

2.3

(15.7–24.8)

Wilmington, Delaware-Maryland-New Jersey

2,210

18.1

1.2

(15.7–20.4)


TABLE 35. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

2,096

15.6

1.6

(12.4–18.7)

Yakima, Washington

739

14.9

1.9

(11.1–18.6)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

1,052

26.5

2.8

(21.0–31.9)

Median

17.4

Range

5.8-28.5

Abbreviations: SE = standard error; CI = confidence interval.

* Smoked everyday or someday during the period of survey.

Metropolitan division.


TABLE 36. Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

596

21.3

2.5

(16.4–26.2)

Mobile County, Alabama

677

25.0

2.8

(19.5–30.4)

Tuscaloosa County, Alabama

432

29.5

3.6

(22.4–36.5)

Maricopa County, Arizona

1,296

14.6

1.6

(11.4–17.7)

Pima County, Arizona

694

15.5

2.5

(10.6–20.4)

Pinal County, Arizona

385

15.8

2.9

(10.1–21.4)

Benton County, Arkansas

359

17.7

3.2

(11.4–23.9)

Pulaski County, Arkansas

556

18.3

3.3

(11.8–24.7)

Washington County, Arkansas

298

18.8

3.6

(11.7–25.8)

Alameda County, California

721

10.1

1.4

(7.3–12.8)

Contra Costa County, California

610

10.9

1.9

(7.1–14.6)

Los Angeles County, California

2,464

11.7

0.9

(9.9–13.4)

Orange County, California

1,383

9.0

1.2

(6.6–11.3)

Placer County, California

245

6.7

1.8

(3.1–10.2)

Riverside County, California

895

12.6

1.6

(9.4–15.7)

Sacramento County, California

712

12.8

1.7

(9.4–16.1)

San Bernardino County, California

909

14.9

1.7

(11.5–18.2)

San Diego County, California

1,619

13.0

1.2

(10.6–15.3)

San Francisco County, California

364

8.4

1.7

(5.0–11.7)

San Mateo County, California

356

7.0

1.6

(3.8–10.1)

Santa Clara County, California

842

7.7

1.4

(4.9–10.4)

Adams County, Colorado

805

22.5

2.2

(18.1–26.8)

Arapahoe County, Colorado

868

11.9

1.5

(8.9–14.8)

Denver County, Colorado

870

15.8

1.9

(12.0–19.5)

Douglas County, Colorado

574

10.2

2.1

(6.0–14.3)

El Paso County, Colorado

1,031

17.3

1.7

(13.9–20.6)

Jefferson County, Colorado

1,163

14.9

1.7

(11.5–18.2)

Larimer County, Colorado

557

17.2

2.9

(11.5–22.8)

Fairfield County, Connecticut

2,164

10.0

1.1

(7.8–12.1)

Hartford County, Connecticut

1,496

12.8

1.4

(10.0–15.5)

Middlesex County, Connecticut

261

12.7

2.9

(7.0–18.3)

New Haven County, Connecticut

1,665

15.6

1.6

(12.4–18.7)

Tolland County, Connecticut

254

14.3

3.5

(7.4–21.1)

Kent County, Delaware

1,250

20.0

1.6

(16.8–23.1)

New Castle County, Delaware

1,744

15.9

1.3

(13.3–18.4)

Sussex County, Delaware

1,232

19.1

1.7

(15.7–22.4)

District of Columbia, District of Columbia

3,951

14.6

0.8

(13.0–16.1)

Alachua County, Florida

531

13.3

2.4

(8.5–18.0)

Baker County, Florida

509

19.6

3.8

(12.1–27.0)

Bay County, Florida

541

15.9

2.1

(11.7–20.0)

Brevard County, Florida

523

20.4

3.0

(14.5–26.2)

Broward County, Florida

523

13.7

2.2

(9.3–18.0)

Citrus County, Florida

531

21.6

2.7

(16.3–26.8)

Clay County, Florida

483

20.7

2.6

(15.6–25.7)

Collier County, Florida

518

16.9

3.4

(10.2–23.5)

Columbia County, Florida

566

27.9

2.8

(22.4–33.3)

DeSoto County, Florida

501

24.3

4.0

(16.4–32.1)

Duval County, Florida

550

18.1

2.2

(13.7–22.4)

Escambia County, Florida

518

22.7

2.7

(17.4–27.9)

Gadsden County, Florida

510

18.2

3.8

(10.7–25.6)

Gilchrist County, Florida

415

NA

NA

NA

Hardee County, Florida

529

16.0

2.8

(10.5–21.4)

Hernando County, Florida

487

18.2

2.4

(13.4–22.9)

Highlands County, Florida

517

20.5

3.2

(14.2–26.7)

Hillsborough County, Florida

504

20.3

2.9

(14.6–25.9)

Jefferson County, Florida

501

26.6

4.0

(18.7–34.4)

Lake County, Florida

606

14.6

1.8

(11.0–18.1)

Lee County, Florida

513

27.1

4.2

(18.8–35.3)

Leon County, Florida

495

14.2

2.4

(9.4–18.9)

Manatee County, Florida

522

18.8

2.9

(13.1–24.4)

Marion County, Florida

588

23.8

3.0

(17.9–29.6)

Martin County, Florida

520

14.2

2.3

(9.6–18.7)

Miami-Dade County, Florida

502

10.2

2.3

(5.6–14.7)


TABLE 36. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

503

21.4

2.8

(15.9–26.8)

Nassau County, Florida

518

17.9

2.7

(12.6–23.1)

Orange County, Florida

1,004

13.0

1.7

(9.6–16.3)

Osceola County, Florida

567

18.9

2.8

(13.4–24.3)

Palm Beach County, Florida

552

8.8

1.6

(5.6–11.9)

Pasco County, Florida

541

21.2

3.0

(15.3–27.0)

Pinellas County, Florida

495

20.3

2.8

(14.8–25.7)

Polk County, Florida

520

21.5

2.6

(16.4–26.5)

St. Johns County, Florida

518

11.4

1.8

(7.8–14.9)

St. Lucie County, Florida

501

18.0

2.5

(13.1–22.9)

Santa Rosa County, Florida

494

22.0

2.7

(16.7–27.2)

Sarasota County, Florida

605

18.5

2.7

(13.2–23.7)

Seminole County, Florida

491

21.7

2.9

(16.0–27.3)

Volusia County, Florida

859

23.3

2.6

(18.2–28.3)

Wakulla County, Florida

536

26.5

2.9

(20.8–32.1)

Cobb County, Georgia

253

13.3

2.8

(7.8–18.7)

DeKalb County, Georgia

341

6.4

1.7

(3.0–9.7)

Fulton County, Georgia

329

10.4

2.5

(5.5–15.3)

Gwinnett County, Georgia

251

15.3

3.5

(8.4–22.1)

Hawaii County, Hawaii

1,477

20.0

1.6

(16.8–23.1)

Honolulu County, Hawaii

2,950

13.1

0.9

(11.3–14.8)

Kauai County, Hawaii

645

18.5

2.5

(13.6–23.4)

Maui County, Hawaii

1,462

15.8

1.6

(12.6–18.9)

Ada County, Idaho

862

13.1

1.8

(9.5–16.6)

Bonneville County, Idaho

521

12.0

1.9

(8.2–15.7)

Canyon County, Idaho

618

18.1

2.1

(13.9–22.2)

Kootenai County, Idaho

568

17.4

2.7

(12.1–22.6)

Nez Perce County, Idaho

381

22.5

3.1

(16.4–28.5)

Twin Falls County, Idaho

431

15.7

2.4

(10.9–20.4)

Cook County, Illinois

2,883

18.3

1.1

(16.1–20.4)

DuPage County, Illinois

256

12.1

2.7

(6.8–17.3)

Allen County, Indiana

578

18.5

2.2

(14.1–22.8)

Lake County, Indiana

996

21.1

2.3

(16.5–25.6)

Marion County, Indiana

1,456

23.6

2.0

(19.6–27.5)

Linn County, Iowa

495

16.6

2.2

(12.2–20.9)

Polk County, Iowa

763

18.1

2.0

(14.1–22.0)

Johnson County, Kansas

1,412

12.0

1.2

(9.6–14.3)

Sedgwick County, Kansas

1,429

19.8

1.6

(16.6–22.9)

Shawnee County, Kansas

620

15.5

1.9

(11.7–19.2)

Wyandotte County, Kansas

607

24.5

2.6

(19.4–29.5)

Jefferson County, Kentucky

409

22.7

2.7

(17.4–27.9)

Caddo Parish, Louisiana

447

21.9

2.6

(16.8–26.9)

East Baton Rouge Parish, Louisiana

721

14.5

1.9

(10.7–18.2)

Jefferson Parish, Louisiana

593

20.6

2.4

(15.8–25.3)

Orleans Parish, Louisiana

375

19.6

3.0

(13.7–25.4)

St. Tammany Parish, Louisiana

372

18.8

2.8

(13.3–24.2)

Androscoggin County, Maine

498

13.8

2.0

(9.8–17.7)

Cumberland County, Maine

1,376

15.8

1.6

(12.6–18.9)

Kennebec County, Maine

650

20.7

2.3

(16.1–25.2)

Penobscot County, Maine

687

15.4

1.8

(11.8–18.9)

Sagadahoc County, Maine

298

13.0

2.5

(8.1–17.9)

York County, Maine

937

19.6

1.8

(16.0–23.1)

Anne Arundel County, Maryland

600

15.3

2.1

(11.1–19.4)

Baltimore County, Maryland

1,047

14.8

1.5

(11.8–17.7)

Cecil County, Maryland

270

25.3

3.4

(18.6–31.9)

Charles County, Maryland

348

14.3

2.2

(9.9–18.6)

Frederick County, Maryland

577

12.4

2.0

(8.4–16.3)

Harford County, Maryland

279

20.0

3.4

(13.3–26.6)

Howard County, Maryland

342

8.9

2.4

(4.1–13.6)

Montgomery County, Maryland

1,057

7.5

1.2

(5.1–9.8)

Prince George´s County, Maryland

794

13.4

1.7

(10.0–16.7)

Queen Anne´s County, Maryland

295

15.2

2.9

(9.5–20.8)

Washington County, Maryland

407

18.3

2.5

(13.4–23.2)


TABLE 36. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

532

24.3

2.8

(18.8–29.7)

Bristol County, Massachusetts

2,921

18.9

1.6

(15.7–22.0)

Essex County, Massachusetts

2,126

12.0

1.3

(9.4–14.5)

Hampden County, Massachusetts

1,588

19.5

2.3

(14.9–24.0)

Hampshire County, Massachusetts

275

15.4

3.2

(9.1–21.6)

Middlesex County, Massachusetts

3,006

10.5

1.0

(8.5–12.4)

Norfolk County, Massachusetts

857

11.5

1.6

(8.3–14.6)

Plymouth County, Massachusetts

680

14.0

1.8

(10.4–17.5)

Suffolk County, Massachusetts

1,751

19.0

2.3

(14.4–23.5)

Worcester County, Massachusetts

2,096

15.6

1.6

(12.4–18.7)

Kent County, Michigan

446

18.8

2.7

(13.5–24.0)

Macomb County, Michigan

516

15.8

2.0

(11.8–19.7)

Oakland County, Michigan

933

12.2

1.7

(8.8–15.5)

Wayne County, Michigan

1,905

20.2

1.5

(17.2–23.1)

Anoka County, Minnesota

396

21.0

3.2

(14.7–27.2)

Dakota County, Minnesota

568

12.4

2.1

(8.2–16.5)

Hennepin County, Minnesota

2,043

12.6

1.5

(9.6–15.5)

Ramsey County, Minnesota

918

14.0

2.7

(8.7–19.2)

Washington County, Minnesota

256

11.7

2.5

(6.8–16.6)

DeSoto County, Mississippi

369

24.7

3.8

(17.2–32.1)

Hinds County, Mississippi

340

20.1

3.1

(14.0–26.1)

Jackson County, Missouri

525

22.9

2.5

(18.0–27.8)

St. Louis County, Missouri

605

15.3

2.2

(10.9–19.6)

St. Louis city, Missouri

645

27.3

3.1

(21.2–33.3)

Flathead County, Montana

700

18.6

2.2

(14.2–22.9)

Lewis and Clark County, Montana

533

15.8

2.1

(11.6–19.9)

Yellowstone County, Montana

484

16.3

2.5

(11.4–21.2)

Adams County, Nebraska

479

15.1

2.3

(10.5–19.6)

Dakota County, Nebraska

737

18.2

1.9

(14.4–21.9)

Douglas County, Nebraska

949

17.8

1.8

(14.2–21.3)

Hall County, Nebraska

586

13.4

2.0

(9.4–17.3)

Lancaster County, Nebraska

843

17.8

2.3

(13.2–22.3)

Lincoln County, Nebraska

546

18.1

2.5

(13.2–23.0)

Madison County, Nebraska

469

15.1

3.0

(9.2–20.9)

Sarpy County, Nebraska

579

18.0

2.8

(12.5–23.4)

Scotts Bluff County, Nebraska

737

19.8

2.4

(15.0–24.5)

Seward County, Nebraska

284

11.2

2.4

(6.4–15.9)

Clark County, Nevada

1,266

22.1

1.6

(18.9–25.2)

Washoe County, Nevada

1,305

18.5

1.5

(15.5–21.4)

Grafton County, New Hampshire

517

19.3

2.8

(13.8–24.7)

Hillsborough County, New Hampshire

1,417

16.9

1.5

(13.9–19.8)

Merrimack County, New Hampshire

635

13.2

2.1

(9.0–17.3)

Rockingham County, New Hampshire

1,017

15.1

1.5

(12.1–18.0)

Strafford County, New Hampshire

587

20.1

2.4

(15.3–24.8)

Atlantic County, New Jersey

921

19.4

1.9

(15.6–23.1)

Bergen County, New Jersey

624

16.1

2.2

(11.7–20.4)

Burlington County, New Jersey

565

13.1

1.7

(9.7–16.4)

Camden County, New Jersey

604

23.6

2.6

(18.5–28.6)

Cape May County, New Jersey

521

20.6

2.5

(15.7–25.5)

Essex County, New Jersey

1,011

14.8

1.7

(11.4–18.1)

Gloucester County, New Jersey

525

18.5

2.5

(13.6–23.4)

Hudson County, New Jersey

1,096

14.0

1.3

(11.4–16.5)

Hunterdon County, New Jersey

511

10.9

1.7

(7.5–14.2)

Mercer County, New Jersey

502

11.5

1.8

(7.9–15.0)

Middlesex County, New Jersey

630

12.8

1.8

(9.2–16.3)

Monmouth County, New Jersey

561

11.2

1.8

(7.6–14.7)

Morris County, New Jersey

698

12.3

2.0

(8.3–16.2)

Ocean County, New Jersey

533

13.7

2.1

(9.5–17.8)

Passaic County, New Jersey

501

16.1

2.4

(11.3–20.8)

Somerset County, New Jersey

534

6.8

1.2

(4.4–9.1)

Sussex County, New Jersey

499

15.9

2.1

(11.7–20.0)

Union County, New Jersey

517

12.8

1.9

(9.0–16.5)

Warren County, New Jersey

480

16.6

2.2

(12.2–20.9)


TABLE 36. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

1,261

18.7

1.9

(14.9–22.4)

Dona Ana County, New Mexico

504

11.9

2.0

(7.9–15.8)

Sandoval County, New Mexico

521

13.0

2.2

(8.6–17.3)

San Juan County, New Mexico

684

20.4

2.3

(15.8–24.9)

Santa Fe County, New Mexico

607

19.8

2.5

(14.9–24.7)

Valencia County, New Mexico

347

29.8

3.6

(22.7–36.8)

Bronx County, New York

434

15.4

2.3

(10.8–19.9)

Erie County, New York

477

22.4

2.9

(16.7–28.0)

Kings County, New York

907

11.6

1.3

(9.0–14.1)

Monroe County, New York

380

12.2

2.2

(7.8–16.5)

Nassau County, New York

475

11.7

2.1

(7.5–15.8)

New York County, New York

1,031

12.7

1.6

(9.5–15.8)

Queens County, New York

798

13.0

1.7

(9.6–16.3)

Suffolk County, New York

592

15.9

2.1

(11.7–20.0)

Westchester County, New York

378

13.2

2.4

(8.4–17.9)

Buncombe County, North Carolina

263

14.7

3.0

(8.8–20.5)

Cabarrus County, North Carolina

305

16.6

2.8

(11.1–22.0)

Catawba County, North Carolina

293

17.3

3.2

(11.0–23.5)

Durham County, North Carolina

619

14.1

2.0

(10.1–18.0)

Gaston County, North Carolina

265

27.1

4.2

(18.8–35.3)

Guilford County, North Carolina

691

15.7

1.8

(12.1–19.2)

Johnston County, North Carolina

276

17.2

2.7

(11.9–22.4)

Mecklenburg County, North Carolina

607

11.7

1.7

(8.3–15.0)

Orange County, North Carolina

296

12.6

2.6

(7.5–17.6)

Randolph County, North Carolina

394

21.4

3.1

(15.3–27.4)

Union County, North Carolina

349

17.4

3.4

(10.7–24.0)

Wake County, North Carolina

711

15.3

2.3

(10.7–19.8)

Burleigh County, North Dakota

559

13.3

2.1

(9.1–17.4)

Cass County, North Dakota

776

15.3

2.0

(11.3–19.2)

Ward County, North Dakota

464

13.4

1.9

(9.6–17.1)

Cuyahoga County, Ohio

715

20.5

2.0

(16.5–24.4)

Franklin County, Ohio

679

18.3

1.9

(14.5–22.0)

Hamilton County, Ohio

723

21.7

2.6

(16.6–26.7)

Lucas County, Ohio

726

23.4

2.2

(19.0–27.7)

Mahoning County, Ohio

720

23.5

2.5

(18.6–28.4)

Montgomery County, Ohio

703

21.4

2.4

(16.6–26.1)

Stark County, Ohio

714

24.0

2.5

(19.1–28.9)

Summit County, Ohio

702

20.6

2.4

(15.8–25.3)

Cleveland County, Oklahoma

433

17.6

2.4

(12.8–22.3)

Oklahoma County, Oklahoma

1,438

23.7

1.6

(20.5–26.8)

Tulsa County, Oklahoma

1,517

23.6

1.5

(20.6–26.5)

Clackamas County, Oregon

449

15.8

2.4

(11.0–20.5)

Lane County, Oregon

510

19.5

2.8

(14.0–24.9)

Multnomah County, Oregon

815

10.9

1.7

(7.5–14.2)

Washington County, Oregon

583

12.3

2.2

(7.9–16.6)

Allegheny County, Pennsylvania

1,376

17.4

1.4

(14.6–20.1)

Lehigh County, Pennsylvania

282

14.7

2.4

(9.9–19.4)

Luzerne County, Pennsylvania

311

26.9

3.6

(19.8–33.9)

Montgomery County, Pennsylvania

341

16.8

3.1

(10.7–22.8)

Northampton County, Pennsylvania

257

17.9

4.2

(9.6–26.1)

Philadelphia County, Pennsylvania

1,397

20.7

1.6

(17.5–23.8)

Westmoreland County, Pennsylvania

339

18.4

2.7

(13.1–23.6)

Bristol County, Rhode Island

277

15.7

2.9

(10.0–21.3)

Kent County, Rhode Island

938

16.1

1.5

(13.1–19.0)

Newport County, Rhode Island

487

8.5

1.5

(5.5–11.4)

Providence County, Rhode Island

4,130

16.8

1.0

(14.8–18.7)

Washington County, Rhode Island

745

14.2

2.2

(9.8–18.5)

Aiken County, South Carolina

473

19.0

2.4

(14.2–23.7)

Beaufort County, South Carolina

680

18.3

2.3

(13.7–22.8)

Berkeley County, South Carolina

354

NA

NA

NA

Charleston County, South Carolina

670

12.9

2.2

(8.5–17.2)

Greenville County, South Carolina

494

15.4

2.8

(9.9–20.8)

Horry County, South Carolina

552

23.4

2.9

(17.7–29.0)


TABLE 36. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

662

19.0

3.0

(13.1–24.8)

Minnehaha County, South Dakota

602

11.8

1.7

(8.4–15.1)

Pennington County, South Dakota

665

17.8

2.1

(13.6–21.9)

Davidson County, Tennessee

417

17.1

3.2

(10.8–23.3)

Hamilton County, Tennessee

386

13.4

2.4

(8.6–18.1)

Knox County, Tennessee

369

17.5

2.8

(12.0–22.9)

Shelby County, Tennessee

392

11.1

2.6

(6.0–16.1)

Sullivan County, Tennessee

461

20.9

2.8

(15.4–26.3)

Bexar County, Texas

968

17.5

1.9

(13.7–21.2)

Dallas County, Texas

392

15.8

2.7

(10.5–21.0)

El Paso County, Texas

865

14.4

1.5

(11.4–17.3)

Fort Bend County, Texas

923

10.6

1.6

(7.4–13.7)

Harris County, Texas

1,454

16.0

1.5

(13.0–18.9)

Hidalgo County, Texas

593

12.6

2.2

(8.2–16.9)

Lubbock County, Texas

757

22.9

2.7

(17.6–28.1)

Midland County, Texas

522

18.4

2.4

(13.6–23.1)

Potter County, Texas

337

24.1

3.2

(17.8–30.3)

Randall County, Texas

461

16.7

2.9

(11.0–22.3)

Smith County, Texas

665

21.9

3.3

(15.4–28.3)

Tarrant County, Texas

602

14.5

2.3

(9.9–19.0)

Travis County, Texas

757

9.9

3.1

(3.8–15.9)

Val Verde County, Texas

556

10.6

1.8

(7.0–14.1)

Webb County, Texas

914

15.8

1.6

(12.6–18.9)

Wichita County, Texas

676

19.8

2.5

(14.9–24.7)

Davis County, Utah

875

6.1

1.1

(3.9–8.2)

Salt Lake County, Utah

3,279

10.6

0.8

(9.0–12.1)

Summit County, Utah

451

6.9

1.6

(3.7–10.0)

Tooele County, Utah

566

15.6

3.1

(9.5–21.6)

Utah County, Utah

1,113

5.9

1.2

(3.5–8.2)

Weber County, Utah

773

10.7

1.5

(7.7–13.6)

Chittenden County, Vermont

1,423

11.8

1.3

(9.2–14.3)

Franklin County, Vermont

486

20.9

2.3

(16.3–25.4)

Orange County, Vermont

356

18.3

2.7

(13.0–23.5)

Rutland County, Vermont

652

19.0

2.3

(14.4–23.5)

Washington County, Vermont

668

14.3

1.8

(10.7–17.8)

Windsor County, Vermont

676

13.5

1.7

(10.1–16.8)

Benton County, Washington

388

10.2

2.0

(6.2–14.1)

Clark County, Washington

1,090

17.7

2.0

(13.7–21.6)

Franklin County, Washington

253

8.5

2.9

(2.8–14.1)

King County, Washington

3,021

12.2

0.9

(10.4–13.9)

Kitsap County, Washington

914

17.0

1.8

(13.4–20.5)

Pierce County, Washington

1,715

16.9

1.3

(14.3–19.4)

Snohomish County, Washington

1,647

14.0

1.2

(11.6–16.3)

Spokane County, Washington

1,213

16.6

1.7

(13.2–19.9)

Thurston County, Washington

775

18.6

2.1

(14.4–22.7)

Yakima County, Washington

739

14.9

1.9

(11.1–18.6)

Kanawha County, West Virginia

490

25.7

3.0

(19.8–31.5)

Milwaukee County, Wisconsin

1,216

22.3

2.5

(17.4–27.2)

Laramie County, Wyoming

907

22.3

1.9

(18.5–26.0)

Natrona County, Wyoming

767

25.6

2.4

(20.8–30.3)

Median

16.1

Range

5.9-29.8

Abbreviations: SE = standard error; CI = confidence interval.

* Smoked everyday or someday during the period of survey.

Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 37. Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

7,523

10.1

0.6

(8.9–11.3)

Alaska

1,911

20.6

1.6

(17.4–23.7)

Arizona

5,664

14.0

0.9

(12.2–15.9)

Arkansas

3,972

9.7

0.8

(8.1–11.4)

California

16,787

15.8

0.5

(14.9–16.7)

Colorado

11,027

15.4

0.6

(14.2–16.6)

Connecticut

6,662

17.4

0.9

(15.7–19.2)

Delaware

4,200

18.8

1.1

(16.6–21.0)

District of Columbia

3,896

15.4

0.8

(13.8–17.0)

Florida

34,305

13.7

0.5

(12.7–14.7)

Georgia

5,592

12.4

0.7

(11.0–13.9)

Hawaii

6,466

17.9

0.8

(16.3–19.4)

Idaho

6,883

13.2

0.7

(11.8–14.6)

Illinois

5,153

17.8

0.8

(16.2–19.4)

Indiana

10,029

13.5

0.6

(12.4–14.7)

Iowa

6,012

16.9

0.8

(15.4–18.5)

Kansas

8,442

15.1

0.6

(13.8–16.3)

Kentucky

7,876

11.9

0.7

(10.5–13.4)

Louisiana

6,903

15.0

0.7

(13.6–16.3)

Maine

8,008

14.5

0.6

(13.3–15.6)

Maryland

8,937

14.6

0.7

(13.2–15.9)

Massachusetts

15,341

17.8

0.5

(16.7–18.8)

Michigan

8,762

15.0

0.6

(13.9–16.2)

Minnesota

8,684

17.2

0.8

(15.6–18.8)

Mississippi

7,984

9.9

0.7

(8.6–11.2)

Missouri

5,336

15.6

1.0

(13.7–17.5)

Montana

7,169

17.0

0.8

(15.4–18.6)

Nebraska

16,184

19.4

0.8

(17.9–21.0)

Nevada

3,831

17.2

1.2

(14.9–19.5)

New Hampshire

5,941

15.1

0.7

(13.7–16.5)

New Jersey

11,774

13.8

0.5

(12.8–14.8)

New Mexico

6,897

11.1

0.7

(9.7–12.4)

New York

8,744

15.5

0.6

(14.3–16.6)

North Carolina

11,945

11.0

0.5

(10.0–12.0)

North Dakota

4,690

18.7

0.9

(17.0–20.5)

Ohio

9,605

17.2

0.7

(15.8–18.7)

Oklahoma

7,651

13.0

0.6

(11.8–14.3)

Oregon

4,884

14.3

0.9

(12.6–16.0)

Pennsylvania

11,023

15.2

0.5

(14.1–16.2)

Rhode Island

6,510

16.2

0.8

(14.6–17.7)

South Carolina

9,246

12.3

0.8

(10.7–13.8)

South Dakota

6,603

17.7

0.8

(16.1–19.4)

Tennessee

5,581

6.6

0.7

(5.2–7.9)

Texas

17,723

14.7

0.6

(13.4–15.9)

Utah

10,075

8.7

0.5

(7.8–9.6)

Vermont

6,684

17.1

0.7

(15.6–18.5)

Virginia

5,178

16.9

1.5

(13.9–19.8)

Washington

19,234

15.4

0.5

(14.5–16.3)

West Virginia

4,367

9.0

0.7

(7.6–10.4)

Wisconsin

4,587

21.6

1.1

(19.5–23.7)

Wyoming

5,742

14.6

0.7

(13.2–16.0)

Guam

771

17.7

1.9

(14.1–21.4)

Puerto Rico

3,488

12.1

0.9

(10.4–13.9)

Virgin Islands

1,784

13.0

1.2

(10.7–15.3)

Median

15.1

Range

6.6-21.6

Abbreviations: SE = standard error; CI = confidence interval.

* For males: having at least five drinks on at least one occasion, for females: having at least four drinks on at least one occasion.


TABLE 38. Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

796

20.4

3.0

(14.5–26.2)

Albuquerque, New Mexico

2,164

10.0

1.2

(7.6–12.3)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

1,051

13.7

1.7

(10.3–17.0)

Amarillo, Texas

820

14.7

2.3

(10.1–19.2)

Arcadia, Florida

487

11.5

2.9

(5.8–17.1)

Asheville, North Carolina

540

11.2

2.3

(6.6–15.7)

Atlanta-Sandy Springs-Marietta, Georgia

2,256

12.4

1.2

(10.0–14.7)

Atlantic City, New Jersey

876

15.1

1.8

(11.5–18.6)

Augusta-Richmond County, Georgia-South Carolina

853

12.3

1.8

(8.7–15.8)

Augusta-Waterville, Maine

644

15.8

2.4

(11.0–20.5)

Austin-Round Rock, Texas

950

18.4

3.0

(12.5–24.2)

Baltimore-Towson, Maryland

3,246

16.3

1.1

(14.1–18.4)

Bangor, Maine

684

14.6

1.9

(10.8–18.3)

Barre, Vermont

659

18.3

2.1

(14.1–22.4)

Baton Rouge, Louisiana

1,181

15.5

1.6

(12.3–18.6)

Bethesda-Gaithersburg-Frederick, Maryland

1,601

14.0

1.3

(11.4–16.5)

Billings, Montana

527

14.8

2.4

(10.0–19.5)

Birmingham-Hoover, Alabama

1,178

12.9

1.6

(9.7–16.0)

Bismarck, North Dakota

757

18.1

1.9

(14.3–21.8)

Boise City-Nampa, Idaho

1,632

12.4

1.3

(9.8–14.9)

Boston-Quincy, Massachusetts

3,127

20.1

1.3

(17.5–22.6)

Bremerton-Silverdale, Washington

900

14.7

1.7

(11.3–18.0)

Bridgeport-Stamford-Norwalk, Connecticut

2,151

20.5

1.9

(16.7–24.2)

Buffalo-Cheektowaga-Tonawanda, New York

597

19.4

2.6

(14.3–24.4)

Burlington-South Burlington, Vermont

1,974

19.4

1.5

(16.4–22.3)

Cambridge-Newton-Framingham, Massachusetts

2,861

15.3

1.3

(12.7–17.8)

Camden, New Jersey*

1,615

16.5

1.3

(13.9–19.0)

Canton-Massillon, Ohio

725

16.0

2.2

(11.6–20.3)

Cape Coral-Fort Myers, Florida

500

19.1

4.3

(10.6–27.5)

Casper, Wyoming

756

16.5

2.3

(11.9–21.0)

Cedar Rapids, Iowa

551

15.1

2.1

(10.9–19.2)

Charleston, West Virginia

765

8.3

1.8

(4.7–11.8)

Charleston-North Charleston, South Carolina

1,127

17.3

2.4

(12.5–22.0)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,677

11.0

1.2

(8.6–13.3)

Chattanooga, Tennessee-Georgia

520

9.1

3.5

(2.2–15.9)

Cheyenne, Wyoming

902

12.6

1.6

(9.4–15.7)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

4,947

17.2

0.9

(15.4–18.9)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,755

18.2

1.9

(14.4–21.9)

Cleveland-Elyria-Mentor, Ohio

1,060

18.2

2.1

(14.0–22.3)

Coeur d´Alene, Idaho

558

14.3

2.5

(9.4–19.2)

Colorado Springs, Colorado

1,104

14.0

1.7

(10.6–17.3)

Columbia, South Carolina

1,121

14.4

2.1

(10.2–18.5)

Columbus, Ohio

1,357

16.8

1.7

(13.4–20.1)

Concord, New Hampshire

631

14.7

2.3

(10.1–19.2)

Dallas-Plano-Irving, Texas

708

13.2

1.8

(9.6–16.7)

Dayton, Ohio

833

15.2

2.4

(10.4–19.9)

Del Rio, Texas

548

8.6

1.7

(5.2–11.9)

Deltona-Daytona Beach-Ormond Beach, Florida

843

12.5

2.0

(8.5–16.4)

Denver-Aurora, Colorado

4,583

16.8

0.9

(15.0–18.5)

Des Moines-West Des Moines, Iowa

997

18.1

1.7

(14.7–21.4)

Detroit-Livonia-Dearborn, Michigan

1,889

13.8

1.3

(11.2–16.3)

Dover, Delaware

1,240

13.9

1.7

(10.5–17.2)

Durham, North Carolina

1,022

14.7

1.8

(11.1–18.2)

Edison, New Jersey

2,153

12.1

1.0

(10.1–14.0)

El Paso, Texas

856

14.3

1.8

(10.7–17.8)

Eugene-Springfield, Oregon

501

13.0

2.5

(8.1–17.9)

Evansville, Indiana-Kentucky

529

13.0

2.3

(8.4–17.5)

Fargo, North Dakota-Minnesota

821

16.6

2.4

(11.8–21.3)

Farmington, New Mexico

675

10.8

2.1

(6.6–14.9)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

691

12.9

2.4

(8.1–17.6)

Fort Collins-Loveland, Colorado

532

14.0

2.7

(8.7–19.2)

Fort Wayne, Indiana

706

12.7

1.7

(9.3–16.0)

Fort Worth-Arlington, Texas

726

13.8

2.3

(9.2–18.3)


TABLE 38. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

932

14.4

2.9

(8.7–20.0)

Grand Island, Nebraska

848

19.4

2.2

(15.0–23.7)

Grand Rapids-Wyoming, Michigan

617

14.9

2.4

(10.1–19.6)

Greensboro-High Point, North Carolina

1,150

15.3

2.4

(10.5–20.0)

Greenville, South Carolina

775

9.9

2.0

(5.9–13.8)

Hagerstown-Martinsburg, Maryland-West Virginia

634

14.2

2.6

(9.1–19.2)

Hartford-West Hartford-East Hartford, Connecticut

1,990

16.5

1.5

(13.5–19.4)

Hastings, Nebraska

578

13.6

2.4

(8.8–18.3)

Helena, Montana

625

17.3

2.4

(12.5–22.0)

Hickory-Morganton-Lenoir, North Carolina

599

6.9

1.5

(3.9–9.8)

Hilo, Hawaii

1,459

17.9

1.6

(14.7–21.0)

Hilton Head Island-Beaufort, South Carolina

782

12.4

1.8

(8.8–15.9)

Homosassa Springs, Florida

520

10.9

2.4

(6.1–15.6)

Honolulu, Hawaii

2,927

17.4

1.0

(15.4–19.3)

Houston-Sugar Land-Baytown, Texas

2,683

15.4

1.4

(12.6–18.1)

Huntington-Ashland, West Virginia-Kentucky-Ohio

649

14.3

2.5

(9.4–19.2)

Idaho Falls, Idaho

662

8.7

1.6

(5.5–11.8)

Indianapolis-Carmel, Indiana

2,209

14.5

1.2

(12.1–16.8)

Jackson, Mississippi

751

10.4

2.1

(6.2–14.5)

Jacksonville, Florida

2,551

15.9

1.5

(12.9–18.8)

Kahului-Wailuku, Hawaii

1,445

19.4

1.7

(16.0–22.7)

Kalispell, Montana

690

16.6

2.2

(12.2–20.9)

Kansas City, Missouri-Kansas

3,331

15.7

1.1

(13.5–17.8)

Kapaa, Hawaii

635

23.0

2.7

(17.7–28.2)

Kennewick-Richland-Pasco, Washington

633

11.1

1.9

(7.3–14.8)

Key West-Marathon, Florida

486

23.0

2.7

(17.7–28.2)

Kingsport-Bristol, Tennessee-Virginia

632

6.1

2.7

(0.8–11.3)

Knoxville, Tennessee

510

3.6

1.7

(0.2–6.9)

Lake City, Florida

556

15.2

2.5

(10.3–20.1)

Lakeland-Winter Haven, Florida

505

12.8

2.4

(8.0–17.5)

Laredo, Texas

900

15.8

1.8

(12.2–19.3)

Las Cruces, New Mexico

497

8.4

1.8

(4.8–11.9)

Las Vegas-Paradise, Nevada

1,244

17.5

1.6

(14.3–20.6)

Lebanon, New Hampshire-Vermont

1,523

18.0

1.6

(14.8–21.1)

Lewiston, Idaho-Washington

591

14.0

2.2

(9.6–18.3)

Lewiston-Auburn, Maine

496

11.0

1.9

(7.2–14.7)

Lincoln, Nebraska

1,126

22.7

2.4

(17.9–27.4)

Little Rock-North Little Rock, Arkansas

814

10.8

1.8

(7.2–14.3)

Los Angeles-Long Beach-Glendale, California

2,435

15.4

1.1

(13.2–17.5)

Louisville, Kentucky-Indiana

883

16.3

2.0

(12.3–20.2)

Lubbock, Texas

773

14.4

2.3

(9.8–18.9)

Manchester-Nashua, New Hampshire

1,397

14.3

1.5

(11.3–17.2)

McAllen-Edinburg-Mission, Texas

591

13.4

2.2

(9.0–17.7)

Memphis, Tennessee-Mississippi-Arkansas

1,129

10.3

2.3

(5.7–14.8)

Miami-Fort Lauderdale-Miami Beach, Florida

1,006

13.3

1.9

(9.5–17.0)

Midland, Texas

507

15.3

2.5

(10.4–20.2)

Milwaukee-Waukesha-West Allis, Wisconsin

1,467

18.9

2.0

(14.9–22.8)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

4,708

18.1

1.2

(15.7–20.4)

Minot, North Dakota

548

18.4

2.3

(13.8–22.9)

Mobile, Alabama

663

10.9

2.1

(6.7–15.0)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

544

17.2

3.0

(11.3–23.0)

Naples-Marco Island, Florida

505

15.6

2.8

(10.1–21.0)

Nashville-Davidson-Murfreesboro, Tennessee

799

7.9

2.0

(3.9–11.8)

Nassau-Suffolk, New York*

1,048

15.1

1.6

(11.9–18.2)

Newark-Union, New Jersey-Pennsylvania

3,149

12.6

0.9

(10.8–14.3)

New Haven-Milford, Connecticut

1,643

16.5

1.9

(12.7–20.2)

New Orleans-Metairie-Kenner, Louisiana

1,504

16.8

1.7

(13.4–20.1)

New York-White Plains-Wayne, New York-New Jersey

5,968

14.5

0.7

(13.1–15.8)

Norfolk, Nebraska

663

20.2

2.4

(15.4–24.9)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

569

1,103

17.6

14.6

2.6

1.7

(12.5–22.6)

(11.2 – 17.9)

Ocala, Florida

575

11.2

1.9

(7.4–14.9)

Ocean City, New Jersey

486

15.7

2.2

(11.3–20.0)


TABLE 38. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

1,686

8.3

1.0

(6.3–10.2)

Oklahoma City, Oklahoma

2,447

13.3

1.1

(11.1–15.4)

Olympia, Washington

766

13.5

1.8

(9.9–17.0)

Omaha-Council Bluffs, Nebraska-Iowa

2,330

19.5

1.3

(16.9–22.0)

Orlando-Kissimmee, Florida

2,610

13.8

1.3

(11.2–16.3)

Palm Bay-Melbourne-Titusville, Florida

511

12.8

2.1

(8.6–16.9)

Panama City-Lynn Haven, Florida

537

13.3

2.3

(8.7–17.8)

Peabody, Massachusetts

2,003

16.7

1.7

(13.3 – 20.0)

Pensacola-Ferry Pass-Brent, Florida

995

15.2

2.0

(11.2–19.1)

Philadelphia, Pennsylvania

2,322

14.7

1.3

(12.1–17.2)

Phoenix-Mesa-Scottsdale, Arizona

1,654

15.9

1.6

(12.7–19.0)

Pittsburgh, Pennsylvania

2,378

17.8

1.3

(15.2–20.3)

Portland-South Portland-Biddeford, Maine

2,577

15.8

1.1

(13.6–17.9)

Portland-Vancouver-Beaverton, Oregon-Washington

3,300

14.7

1.1

(12.5–16.8)

Port St. Lucie-Fort Pierce, Florida

1,001

13.4

1.9

(9.6–17.1)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

9,229

17.6

0.8

(16.0–19.1)

Provo-Orem, Utah

1,168

3.8

0.8

(2.2–5.3)

Raleigh-Cary, North Carolina

1,006

12.0

1.5

(9.0–14.9)

Rapid City, South Dakota

831

12.7

1.6

(9.5–15.8)

Reno-Sparks, Nevada

1,308

18.1

1.6

(14.9–21.2)

Richmond, Virginia

773

17.5

2.9

(11.8–23.1)

Riverside-San Bernardino-Ontario, California

1,778

17.2

1.4

(14.4–19.9)

Rochester, New York

559

13.0

2.2

(8.6–17.3)

Rockingham County-Strafford County, New Hampshire

1,579

16.4

1.5

(13.4–19.3)

Rutland, Vermont

647

14.7

2.1

(10.5–18.8)

Sacramento-Arden-Arcade-Roseville, California

1,223

14.3

1.6

(11.1–17.4)

St. Louis, Missouri-Illinois

1,719

18.0

1.7

(14.6–21.3)

Salt Lake City, Utah

4,263

11.4

0.7

(10.0–12.7)

San Antonio, Texas

1,111

19.4

2.1

(15.2–23.5)

San Diego-Carlsbad-San Marcos, California

1,607

17.7

1.4

(14.9–20.4)

San Francisco-Oakland-Fremont, California

2,226

14.0

1.0

(12.0–15.9)

San Jose-Sunnyvale-Santa Clara, California

868

11.0

1.5

(8.0–13.9)

Santa Ana-Anaheim-Irvine, California*

1,360

14.9

1.4

(12.1–17.6)

Santa Fe, New Mexico

600

13.8

2.1

(9.6–17.9)

Scottsbluff, Nebraska

754

11.9

2.3

(7.3–16.4)

Scranton-Wilkes-Barre, Pennsylvania

544

21.4

2.6

(16.3–26.4)

Seaford, Delaware

1,229

16.8

1.8

(13.2–20.3)

Seattle-Bellevue-Everett, Washington

4,610

16.9

0.9

(15.1–18.6)

Sebring, Florida

511

11.5

2.4

(6.7–16.2)

Shreveport-Bossier City, Louisiana

670

14.5

2.1

(10.3–18.6)

Sioux City, Iowa-Nebraska-South Dakota

1,202

18.1

2.5

(13.2–23.0)

Sioux Falls, South Dakota

828

19.0

2.1

(14.8–23.1)

Spokane, Washington

1,196

14.9

1.5

(11.9–17.8)

Springfield, Massachusetts

1,932

19.5

2.2

(15.1–23.8)

Tacoma, Washington

1,674

14.2

1.1

(12.0–16.3)

Tallahassee, Florida

2,001

13.7

2.1

(9.5–17.8)

Tampa-St. Petersburg-Clearwater, Florida

1,994

16.1

1.7

(12.7–19.4)

Toledo, Ohio

839

17.1

2.2

(12.7–21.4)

Topeka, Kansas

819

16.5

2.0

(12.5–20.4)

Trenton-Ewing, New Jersey

484

14.1

2.4

(9.3–18.8)

Tucson, Arizona

690

16.8

2.8

(11.3–22.2)

Tulsa, Oklahoma

2,110

14.4

1.3

(11.8–16.9)

Tuscaloosa, Alabama

510

13.4

2.9

(7.7–19.0)

Twin Falls, Idaho

535

11.1

2.3

(6.5–15.6)

Tyler, Texas

662

10.4

2.2

(6.0–14.7)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

1,060

19.9

2.5

(15.0–24.8)

Warren-Troy-Farmington Hills, Michigan

1,784

15.6

1.3

(13.0–18.1)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia

6,285

14.5

1.7

(11.1–17.8)

Wauchula, Florida

520

11.0

3.1

(4.9–17.0)

West Palm Beach-Boca Raton-Boynton Beach, Florida

543

11.6

2.2

(7.2–15.9)

Wichita, Kansas

1,826

15.5

1.4

(12.7–18.2)

Wichita Falls, Texas

818

12.1

2.1

(7.9–16.2)

Wilmington, Delaware-Maryland-New Jersey

2,187

19.2

1.3

(16.6–21.7)


TABLE 38. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

1,987

21.2

1.9

(17.4–24.9)

Yakima, Washington

724

13.5

1.9

(9.7–17.2)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

1,030

16.5

2.8

(11.0–21.9)

Median

14.7

Range

3.6-23.0

Abbreviations: SE = standard error; CI = confidence interval.

* For males: having at least five drinks on at least one occasion, for females: having at least four drinks on at least one occasion.

Metropolitan division.


TABLE 39. Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

587

13.2

2.2

(8.8–17.5)

Mobile County, Alabama

663

10.9

2.1

(6.7–15.0)

Tuscaloosa County, Alabama

428

14.8

3.2

(8.5–21.0)

Maricopa County, Arizona

1,276

16.0

1.7

(12.6–19.3)

Pima County, Arizona

690

16.8

2.8

(11.3–22.2)

Pinal County, Arizona

378

14.5

3.0

(8.6–20.3)

Benton County, Arkansas

357

12.3

2.7

(7.0–17.5)

Pulaski County, Arkansas

553

10.8

2.3

(6.2–15.3)

Washington County, Arkansas

293

14.2

3.6

(7.1–21.2)

Alameda County, California

714

14.4

1.7

(11.0–17.7)

Contra Costa County, California

607

11.7

1.9

(7.9–15.4)

Los Angeles County, California

2,435

15.4

1.1

(13.2–17.5)

Orange County, California

1,360

14.9

1.4

(12.1–17.6)

Placer County, California

240

15.8

3.2

(9.5–22.0)

Riverside County, California

885

15.5

1.9

(11.7–19.2)

Sacramento County, California

706

13.9

1.8

(10.3–17.4)

San Bernardino County, California

893

17.9

2.0

(13.9–21.8)

San Diego County, California

1,607

17.7

1.4

(14.9–20.4)

San Francisco County, California

359

14.2

2.5

(9.3–19.1)

San Mateo County, California

354

12.5

2.5

(7.6–17.4)

Santa Clara County, California

833

10.9

1.5

(7.9–13.8)

Adams County, Colorado

770

16.0

1.9

(12.2–19.7)

Arapahoe County, Colorado

828

16.3

1.9

(12.5–20.0)

Denver County, Colorado

836

19.6

2.1

(15.4–23.7)

Douglas County, Colorado

542

19.5

2.5

(14.6–24.4)

El Paso County, Colorado

979

14.4

1.8

(10.8–17.9)

Jefferson County, Colorado

1,102

14.2

1.7

(10.8–17.5)

Larimer County, Colorado

532

14.0

2.7

(8.7–19.2)

Fairfield County, Connecticut

2,151

20.5

1.9

(16.7–24.2)

Hartford County, Connecticut

1,475

16.8

1.6

(13.6–19.9)

Middlesex County, Connecticut

263

14.1

3.4

(7.4–20.7)

New Haven County, Connecticut

1,643

16.5

1.9

(12.7–20.2)

Tolland County, Connecticut

252

12.9

2.9

(7.2–18.5)

Kent County, Delaware

1,240

13.9

1.7

(10.5–17.2)

New Castle County, Delaware

1,731

21.0

1.6

(17.8–24.1)

Sussex County, Delaware

1,229

16.8

1.8

(13.2–20.3)

District of Columbia, District of Columbia

3,896

17.3

1.0

(15.3–19.2)

Alachua County, Florida

522

14.0

2.8

(8.5–19.4)

Baker County, Florida

504

15.7

3.1

(9.6–21.7)

Bay County, Florida

537

13.3

2.3

(8.7–17.8)

Brevard County, Florida

511

12.8

2.1

(8.6–16.9)

Broward County, Florida

514

15.5

2.6

(10.4–20.5)

Citrus County, Florida

520

10.9

2.4

(6.1–15.6)

Clay County, Florida

476

17.1

2.5

(12.2–22.0)

Collier County, Florida

505

15.6

2.8

(10.1–21.0)

Columbia County, Florida

556

15.2

2.5

(10.3–20.1)

DeSoto County, Florida

487

11.5

2.9

(5.8–17.1)

Duval County, Florida

543

16.2

2.3

(11.6–20.7)

Escambia County, Florida

510

14.8

2.8

(9.3–20.2)

Gadsden County, Florida

502

11.3

2.2

(6.9–15.6)

Gilchrist County, Florida

410

NA

NA

NA

Hardee County, Florida

520

11.0

3.1

(4.9–17.0)

Hernando County, Florida

480

14.1

2.8

(8.6–19.5)

Highlands County, Florida

511

11.5

2.4

(6.7–16.2)

Hillsborough County, Florida

490

15.5

2.7

(10.2–20.7)

Jefferson County, Florida

490

13.0

2.9

(7.3–18.6)

Lake County, Florida

592

14.2

2.1

(10.0–18.3)

Lee County, Florida

500

19.1

4.3

(10.6–27.5)

Leon County, Florida

488

15.3

2.8

(9.8–20.7)

Manatee County, Florida

511

16.2

2.5

(11.3–21.1)

Marion County, Florida

575

11.2

1.9

(7.4–14.9)

Martin County, Florida

507

15.7

2.5

(10.8–20.6)

Miami-Dade County, Florida

492

11.6

2.7

(6.3–16.8)


TABLE 39. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

486

23.0

2.7

(17.7–28.2)

Nassau County, Florida

512

10.9

2.0

(6.9–14.8)

Orange County, Florida

984

13.0

1.8

(9.4–16.5)

Osceola County, Florida

560

9.5

2.0

(5.5–13.4)

Palm Beach County, Florida

543

11.6

2.2

(7.2–15.9)

Pasco County, Florida

533

18.6

3.3

(12.1–25.0)

Pinellas County, Florida

491

16.9

3.0

(11.0–22.7)

Polk County, Florida

505

12.8

2.4

(8.0–17.5)

St. Johns County, Florida

516

20.1

2.7

(14.8–25.3)

St. Lucie County, Florida

494

11.4

2.2

(7.0–15.7)

Santa Rosa County, Florida

485

15.1

2.4

(10.3–19.8)

Sarasota County, Florida

592

13.9

2.3

(9.3–18.4)

Seminole County, Florida

474

15.8

2.4

(11.0–20.5)

Volusia County, Florida

843

12.5

2.0

(8.5–16.4)

Wakulla County, Florida

521

16.1

2.7

(10.8–21.3)

Cobb County, Georgia

243

9.6

2.5

(4.7–14.5)

DeKalb County, Georgia

332

12.7

2.9

(7.0–18.3)

Fulton County, Georgia

318

17.7

3.3

(11.2–24.1)

Gwinnett County, Georgia

244

10.9

2.4

(6.1–15.6)

Hawaii County, Hawaii

1,459

17.9

1.6

(14.7–21.0)

Honolulu County, Hawaii

2,927

17.4

1.0

(15.4–19.3)

Kauai County, Hawaii

635

23.0

2.7

(17.7–28.2)

Maui County, Hawaii

1,445

19.4

1.7

(16.0–22.7)

Ada County, Idaho

847

13.2

1.9

(9.4–16.9)

Bonneville County, Idaho

520

8.5

1.7

(5.1–11.8)

Canyon County, Idaho

609

10.5

1.6

(7.3–13.6)

Kootenai County, Idaho

558

14.3

2.5

(9.4–19.2)

Nez Perce County, Idaho

375

13.4

2.6

(8.3–18.4)

Twin Falls County, Idaho

431

8.1

1.9

(4.3–11.8)

Cook County, Illinois

2,853

18.8

1.1

(16.6–20.9)

DuPage County, Illinois

254

14.2

3.1

(8.1–20.2)

Allen County, Indiana

573

12.1

1.8

(8.5–15.6)

Lake County, Indiana

979

16.2

2.8

(10.7–21.6)

Marion County, Indiana

1,431

15.5

1.7

(12.1–18.8)

Linn County, Iowa

488

16.2

2.3

(11.6–20.7)

Polk County, Iowa

760

19.3

2.1

(15.1–23.4)

Johnson County, Kansas

1,398

18.4

1.5

(15.4–21.3)

Sedgwick County, Kansas

1,415

16.1

1.6

(12.9–19.2)

Shawnee County, Kansas

615

15.9

2.4

(11.1–20.6)

Wyandotte County, Kansas

600

15.7

2.8

(10.2–21.1)

Jefferson County, Kentucky

395

15.1

2.6

(10.0–20.1)

Caddo Parish, Louisiana

443

14.9

2.5

(10.0–19.8)

East Baton Rouge Parish, Louisiana

712

14.4

2.0

(10.4–18.3)

Jefferson Parish, Louisiana

582

14.1

2.0

(10.1–18.0)

Orleans Parish, Louisiana

371

14.5

2.7

(9.2–19.7)

St. Tammany Parish, Louisiana

361

21.8

3.7

(14.5–29.0)

Androscoggin County, Maine

496

11.0

1.9

(7.2–14.7)

Cumberland County, Maine

1,366

15.5

1.5

(12.5–18.4)

Kennebec County, Maine

644

15.8

2.4

(11.0–20.5)

Penobscot County, Maine

684

14.6

1.9

(10.8–18.3)

Sagadahoc County, Maine

293

13.9

2.4

(9.1–18.6)

York County, Maine

918

16.4

1.8

(12.8–19.9)

Anne Arundel County, Maryland

593

19.8

2.5

(14.9–24.7)

Baltimore County, Maryland

1,020

13.2

1.7

(9.8–16.5)

Cecil County, Maryland

268

16.8

3.2

(10.5–23.0)

Charles County, Maryland

345

12.0

2.1

(7.8–16.1)

Frederick County, Maryland

566

17.0

2.2

(12.6–21.3)

Harford County, Maryland

274

16.9

3.0

(11.0–22.7)

Howard County, Maryland

334

14.9

2.8

(9.4–20.3)

Montgomery County, Maryland

1,035

13.3

1.5

(10.3–16.2)

Prince George´s County, Maryland

770

8.0

1.2

(5.6–10.3)

Queen Anne´s County, Maryland

287

21.5

3.1

(15.4–27.5)

Washington County, Maryland

397

13.3

2.6

(8.2–18.3)


TABLE 39. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

510

14.5

2.6

(9.4–19.5)

Bristol County, Massachusetts

2,719

21.3

2.2

(16.9–25.6)

Essex County, Massachusetts

2,003

16.7

1.7

(13.3–20.0)

Hampden County, Massachusetts

1,498

21.0

2.8

(15.5–26.4)

Hampshire County, Massachusetts

260

20.8

4.4

(12.1–29.4)

Middlesex County, Massachusetts

2,861

15.2

1.3

(12.6–17.7)

Norfolk County, Massachusetts

813

17.6

2.0

(13.6–21.5)

Plymouth County, Massachusetts

653

21.5

2.7

(16.2–26.7)

Suffolk County, Massachusetts

1,661

24.0

2.6

(18.9–29.0)

Worcester County, Massachusetts

1,987

21.2

1.9

(17.4–24.9)

Kent County, Michigan

440

15.8

2.8

(10.3–21.2)

Macomb County, Michigan

511

13.1

1.9

(9.3–16.8)

Oakland County, Michigan

926

16.6

1.9

(12.8–20.3)

Wayne County, Michigan

1,889

13.8

1.3

(11.2–16.3)

Anoka County, Minnesota

382

16.0

3.1

(9.9–22.0)

Dakota County, Minnesota

559

14.6

2.2

(10.2–18.9)

Hennepin County, Minnesota

1,981

16.7

1.9

(12.9–20.4)

Ramsey County, Minnesota

889

12.2

2.6

(7.1–17.2)

Washington County, Minnesota

248

22.5

4.0

(14.6–30.3)

DeSoto County, Mississippi

364

10.2

2.5

(5.3–15.1)

Hinds County, Mississippi

333

10.2

3.1

(4.1–16.2)

Jackson County, Missouri

515

10.6

1.8

(7.0–14.1)

St. Louis County, Missouri

588

18.2

2.9

(12.5–23.8)

St. Louis city, Missouri

634

15.5

2.1

(11.3–19.6)

Flathead County, Montana

690

16.6

2.2

(12.2–20.9)

Lewis and Clark County, Montana

519

18.1

2.6

(13.0–23.1)

Yellowstone County, Montana

478

15.5

2.5

(10.6–20.4)

Adams County, Nebraska

471

15.7

2.8

(10.2–21.1)

Dakota County, Nebraska

730

16.4

2.0

(12.4–20.3)

Douglas County, Nebraska

939

18.0

1.8

(14.4–21.5)

Hall County, Nebraska

578

20.1

2.8

(14.6–25.5)

Lancaster County, Nebraska

841

23.1

2.6

(18.0–28.1)

Lincoln County, Nebraska

537

16.1

2.6

(11.0–21.1)

Madison County, Nebraska

458

17.3

2.7

(12.0–22.5)

Sarpy County, Nebraska

573

22.4

3.0

(16.5–28.2)

Scotts Bluff County, Nebraska

731

11.9

2.2

(7.5–16.2)

Seward County, Nebraska

285

17.0

3.0

(11.1–22.8)

Clark County, Nevada

1,244

17.5

1.6

(14.3–20.6)

Washoe County, Nevada

1,288

18.0

1.6

(14.8–21.1)

Grafton County, New Hampshire

506

17.6

2.7

(12.3–22.8)

Hillsborough County, New Hampshire

1,397

14.3

1.5

(11.3–17.2)

Merrimack County, New Hampshire

631

14.7

2.3

(10.1–19.2)

Rockingham County, New Hampshire

999

16.0

1.7

(12.6–19.3)

Strafford County, New Hampshire

580

16.5

2.5

(11.6–21.4)

Atlantic County, New Jersey

876

15.1

1.8

(11.5–18.6)

Bergen County, New Jersey

587

17.7

2.3

(13.1–22.2)

Burlington County, New Jersey

538

15.2

2.1

(11.0–19.3)

Camden County, New Jersey

580

16.8

2.3

(12.2–21.3)

Cape May County, New Jersey

486

15.7

2.2

(11.3–20.0)

Essex County, New Jersey

958

11.7

1.4

(8.9–14.4)

Gloucester County, New Jersey

497

18.7

2.6

(13.6–23.7)

Hudson County, New Jersey

1,040

14.5

1.5

(11.5–17.4)

Hunterdon County, New Jersey

491

15.9

2.5

(11.0–20.8)

Mercer County, New Jersey

484

14.1

2.4

(9.3–18.8)

Middlesex County, New Jersey

608

10.6

1.6

(7.4–13.7)

Monmouth County, New Jersey

522

14.7

2.2

(10.3–19.0)

Morris County, New Jersey

668

10.4

1.5

(7.4–13.3)

Ocean County, New Jersey

509

11.7

2.1

(7.5–15.8)

Passaic County, New Jersey

471

13.7

2.5

(8.8–18.6)

Somerset County, New Jersey

514

13.8

2.0

(9.8–17.7)

Sussex County, New Jersey

478

19.9

2.6

(14.8–24.9)

Union County, New Jersey

495

14.4

2.1

(10.2–18.5)

Warren County, New Jersey

456

12.0

1.9

(8.2–15.7)


TABLE 39. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

1,253

10.4

1.5

(7.4–13.3)

Dona Ana County, New Mexico

497

8.4

1.8

(4.8–11.9)

Sandoval County, New Mexico

510

6.9

1.9

(3.1–10.6)

San Juan County, New Mexico

675

10.8

2.1

(6.6–14.9)

Santa Fe County, New Mexico

600

13.8

2.1

(9.6–17.9)

Valencia County, New Mexico

342

12.1

2.8

(6.6–17.5)

Bronx County, New York

427

12.3

2.4

(7.5–17.0)

Erie County, New York

469

18.3

2.7

(13.0–23.5)

Kings County, New York

885

10.8

1.4

(8.0–13.5)

Monroe County, New York

376

13.2

2.5

(8.3–18.1)

Nassau County, New York

471

15.1

2.4

(10.3–19.8)

New York County, New York

1,015

18.4

2.0

(14.4–22.3)

Queens County, New York

772

13.0

1.9

(9.2–16.7)

Suffolk County, New York

577

15.7

2.3

(11.1–20.2)

Westchester County, New York

379

22.4

3.2

(16.1–28.6)

Buncombe County, North Carolina

260

10.6

2.7

(5.3–15.8)

Cabarrus County, North Carolina

304

10.3

2.8

(4.8–15.7)

Catawba County, North Carolina

293

9.9

3.1

(3.8–15.9)

Durham County, North Carolina

614

15.2

2.4

(10.4–19.9)

Gaston County, North Carolina

262

8.0

2.1

(3.8–12.1)

Guilford County, North Carolina

689

13.9

2.1

(9.7–18.0)

Johnston County, North Carolina

272

9.4

2.0

(5.4–13.3)

Mecklenburg County, North Carolina

593

15.0

2.4

(10.2–19.7)

Orange County, North Carolina

294

17.7

3.1

(11.6–23.7)

Randolph County, North Carolina

393

9.0

2.3

(4.4–13.5)

Union County, North Carolina

343

14.2

2.7

(8.9–19.4)

Wake County, North Carolina

695

13.1

2.0

(9.1–17.0)

Burleigh County, North Dakota

550

17.1

2.5

(12.2–22.0)

Cass County, North Dakota

769

20.5

2.4

(15.7–25.2)

Ward County, North Dakota

459

19.2

2.7

(13.9–24.4)

Cuyahoga County, Ohio

692

15.2

2.1

(11.0–19.3)

Franklin County, Ohio

664

15.2

2.3

(10.6–19.7)

Hamilton County, Ohio

710

18.8

2.6

(13.7–23.8)

Lucas County, Ohio

708

15.0

1.8

(11.4–18.5)

Mahoning County, Ohio

708

15.0

2.4

(10.2–19.7)

Montgomery County, Ohio

689

15.4

2.6

(10.3–20.4)

Stark County, Ohio

694

16.6

2.3

(12.0–21.1)

Summit County, Ohio

691

20.4

3.3

(13.9–26.8)

Cleveland County, Oklahoma

429

16.9

2.8

(11.4–22.3)

Oklahoma County, Oklahoma

1,419

12.9

1.4

(10.1–15.6)

Tulsa County, Oklahoma

1,495

14.1

1.4

(11.3–16.8)

Clackamas County, Oregon

430

12.7

2.4

(7.9–17.4)

Lane County, Oregon

501

13.0

2.5

(8.1–17.9)

Multnomah County, Oregon

788

15.3

2.0

(11.3–19.2)

Washington County, Oregon

566

15.3

2.3

(10.7–19.8)

Allegheny County, Pennsylvania

1,354

18.8

1.7

(15.4–22.1)

Lehigh County, Pennsylvania

275

16.3

2.9

(10.6–21.9)

Luzerne County, Pennsylvania

308

21.4

3.5

(14.5–28.2)

Montgomery County, Pennsylvania

341

17.0

3.2

(10.7–23.2)

Northampton County, Pennsylvania

254

8.9

2.4

(4.1–13.6)

Philadelphia County, Pennsylvania

1,379

16.1

1.6

(12.9–19.2)

Westmoreland County, Pennsylvania

328

16.3

3.0

(10.4–22.1)

Bristol County, Rhode Island

277

9.4

2.4

(4.6–14.1)

Kent County, Rhode Island

928

15.6

1.7

(12.2–18.9)

Newport County, Rhode Island

481

17.6

2.6

(12.5–22.6)

Providence County, Rhode Island

4,088

15.9

1.0

(13.9–17.8)

Washington County, Rhode Island

736

19.2

2.5

(14.3–24.1)

Aiken County, South Carolina

463

12.8

2.2

(8.4–17.1)

Beaufort County, South Carolina

661

11.4

1.8

(7.8–14.9)

Berkeley County, South Carolina

347

11.5

2.9

(5.8–17.1)

Charleston County, South Carolina

659

18.6

2.9

(12.9–24.2)

Greenville County, South Carolina

492

10.0

2.1

(5.8–14.1)

Horry County, South Carolina

544

17.2

3.0

(11.3–23.0)


TABLE 39. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

651

17.3

3.4

(10.6–23.9)

Minnehaha County, South Dakota

597

18.7

2.5

(13.8–23.6)

Pennington County, South Dakota

653

12.9

1.9

(9.1–16.6)

Davidson County, Tennessee

396

7.0

2.0

(3.0–10.9)

Hamilton County, Tennessee

369

4.3

1.4

(1.5–7.0)

Knox County, Tennessee

357

NA

NA

NA

Shelby County, Tennessee

378

10.8

2.9

(5.1–16.4)

Sullivan County, Tennessee

444

7.4

1.9

(3.6–11.1)

Bexar County, Texas

953

19.7

2.1

(15.5–23.8)

Dallas County, Texas

386

10.9

2.2

(6.5–15.2)

El Paso County, Texas

856

14.3

1.8

(10.7–17.8)

Fort Bend County, Texas

913

13.4

1.9

(9.6–17.1)

Harris County, Texas

1,424

14.3

1.5

(11.3–17.2)

Hidalgo County, Texas

591

13.4

2.2

(9.0–17.7)

Lubbock County, Texas

749

14.3

2.3

(9.7–18.8)

Midland County, Texas

507

15.3

2.5

(10.4–20.2)

Potter County, Texas

332

16.8

3.3

(10.3–23.2)

Randall County, Texas

457

11.2

2.5

(6.3–16.1)

Smith County, Texas

662

10.4

2.2

(6.0–14.7)

Tarrant County, Texas

597

15.3

2.6

(10.2–20.3)

Travis County, Texas

741

19.2

3.9

(11.5–26.8)

Val Verde County, Texas

548

8.6

1.7

(5.2–11.9)

Webb County, Texas

900

15.8

1.8

(12.2–19.3)

Wichita County, Texas

669

10.8

2.1

(6.6–14.9)

Davis County, Utah

873

6.9

1.3

(4.3–9.4)

Salt Lake County, Utah

3,253

11.4

0.8

(9.8–12.9)

Summit County, Utah

446

16.1

2.3

(11.5–20.6)

Tooele County, Utah

564

8.3

1.5

(5.3–11.2)

Utah County, Utah

1,106

3.8

0.9

(2.0–5.5)

Weber County, Utah

768

10.1

1.5

(7.1–13.0)

Chittenden County, Vermont

1,416

19.4

1.8

(15.8–22.9)

Franklin County, Vermont

479

18.7

2.3

(14.1–23.2)

Orange County, Vermont

349

18.5

3.1

(12.4–24.5)

Rutland County, Vermont

647

14.7

2.1

(10.5–18.8)

Washington County, Vermont

659

18.3

2.1

(14.1–22.4)

Windsor County, Vermont

668

17.5

2.0

(13.5–21.4)

Benton County, Washington

384

8.5

1.9

(4.7–12.2)

Clark County, Washington

1,067

14.2

2.1

(10.0–18.3)

Franklin County, Washington

249

17.3

4.0

(9.4–25.1)

King County, Washington

2,990

18.2

1.1

(16.0–20.3)

Kitsap County, Washington

900

14.7

1.7

(11.3–18.0)

Pierce County, Washington

1,674

14.5

1.2

(12.1–16.8)

Snohomish County, Washington

1,620

15.4

1.3

(12.8–17.9)

Spokane County, Washington

1,196

14.9

1.5

(11.9–17.8)

Thurston County, Washington

766

13.5

1.8

(9.9–17.0)

Yakima County, Washington

724

13.5

1.9

(9.7–17.2)

Kanawha County, West Virginia

488

10.3

2.4

(5.5–15.0)

Milwaukee County, Wisconsin

1,159

16.7

2.2

(12.3–21.0)

Laramie County, Wyoming

902

12.6

1.6

(9.4–15.7)

Natrona County, Wyoming

756

16.5

2.3

(11.9–21.0)

Median

15.1

Range

3.8-24.0

Abbreviations: SE = standard error; CI = confidence interval.

* For males: having at least five drinks on at least one occasion, for females: having at least four drinks on at least one occasion.

Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 40. Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

7,457

4.2

0.4

(3.4–5.0)

Alaska

1,882

5.6

0.9

(3.9–7.4)

Arizona

5,626

5.5

0.6

(4.4–6.6)

Arkansas

3,960

3.6

0.6

(2.5–4.7)

California

16,789

5.7

0.3

(5.1–6.2)

Colorado

10,952

4.7

0.3

(4.1–5.3)

Connecticut

6,601

5.0

0.5

(4.1–5.9)

Delaware

4,192

5.9

0.6

(4.7–7.0)

District of Columbia

3,869

6.1

0.5

(5.1–7.1)

Florida

34,026

5.2

0.3

(4.7–5.8)

Georgia

5,571

3.8

0.4

(3.1–4.5)

Hawaii

6,463

6.6

0.5

(5.6–7.5)

Idaho

6,845

4.0

0.4

(3.3–4.7)

Illinois

5,138

5.7

0.5

(4.7–6.7)

Indiana

9,962

3.9

0.3

(3.3–4.4)

Iowa

5,982

5.2

0.5

(4.3–6.2)

Kansas

8,390

3.8

0.3

(3.2–4.4)

Kentucky

7,855

3.9

0.4

(3.2–4.7)

Louisiana

6,781

5.3

0.4

(4.4–6.1)

Maine

7,949

5.2

0.3

(4.6–5.9)

Maryland

8,896

4.5

0.4

(3.7–5.3)

Massachusetts

15,179

6.7

0.3

(6.0–7.3)

Michigan

8,707

5.4

0.4

(4.7–6.1)

Minnesota

8,659

4.8

0.5

(3.9–5.7)

Mississippi

7,953

3.2

0.3

(2.6–3.8)

Missouri

5,310

5.5

0.6

(4.3–6.6)

Montana

7,124

5.3

0.4

(4.5–6.0)

Nebraska

16,086

5.5

0.5

(4.6–6.4)

Nevada

3,801

5.8

0.6

(4.7–6.9)

New Hampshire

5,896

6.4

0.5

(5.5–7.3)

New Jersey

11,696

4.3

0.3

(3.7–4.9)

New Mexico

6,835

4.4

0.4

(3.7–5.2)

New York

8,665

4.5

0.3

(4.0–5.1)

North Carolina

11,878

3.5

0.3

(2.9–4.1)

North Dakota

4,628

4.1

0.4

(3.3–5.0)

Ohio

9,540

5.3

0.4

(4.5–6.1)

Oklahoma

7,617

3.8

0.4

(3.1–4.5)

Oregon

4,850

6.2

0.5

(5.2–7.2)

Pennsylvania

10,961

3.9

0.3

(3.3–4.4)

Rhode Island

6,487

5.3

0.4

(4.5–6.1)

South Carolina

9,176

4.8

0.4

(3.9–5.6)

South Dakota

6,546

4.8

0.4

(3.9–5.6)

Tennessee

5,558

2.0

0.3

(1.4–2.6)

Texas

17,590

4.9

0.4

(4.2–5.6)

Utah

10,018

3.1

0.3

(2.5–3.6)

Vermont

6,653

7.2

0.5

(6.3–8.1)

Virginia

5,121

5.7

0.6

(4.5–6.9)

Washington

19,019

5.5

0.3

(5.0–6.0)

West Virginia

4,344

2.8

0.4

(2.1–3.5)

Wisconsin

4,558

6.2

0.5

(5.2–7.3)

Wyoming

5,705

4.8

0.4

(4.0–5.6)

Guam

772

4.9

0.9

(3.1–6.7)

Puerto Rico

3,479

3.0

0.5

(2.1–4.0)

Virgin Islands

1,751

6.5

0.8

(4.8–8.1)

Median

5.0

Range

2.0-7.2

Abbreviations: SE = standard error; CI = confidence interval.

* For adult men: having more than two drinks per day, for adult women: having more than one drink per day.


TABLE 41. Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

789

6.5

1.7

(3.1–9.8)

Albuquerque, New Mexico

2,141

4.1

0.6

(2.9–5.2)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

1,034

4.4

1.1

(2.2–6.5)

Amarillo, Texas

814

4.2

1.2

(1.8–6.5)

Arcadia, Florida

482

6.7

1.8

(3.1–10.2)

Asheville, North Carolina

536

3.7

1.0

(1.7–5.6)

Atlanta-Sandy Springs-Marietta, Georgia

2,251

4.1

0.7

(2.7–5.4)

Atlantic City, New Jersey

870

5.4

1.3

(2.8–7.9)

Augusta-Richmond County, Georgia-South Carolina

840

3.3

0.8

(1.7–4.8)

Augusta-Waterville, Maine

631

6.4

1.7

(3.0–9.7)

Austin-Round Rock, Texas

940

5.0

1.5

(2.0–7.9)

Baltimore-Towson, Maryland

3,234

4.8

0.7

(3.4–6.1)

Bangor, Maine

677

4.9

1.2

(2.5–7.2)

Barre, Vermont

653

7.3

1.3

(4.7–9.8)

Baton Rouge, Louisiana

1,163

4.9

0.9

(3.1–6.6)

Bethesda-Gaithersburg-Frederick, Maryland

1,590

5.2

0.8

(3.6–6.7)

Billings, Montana

528

4.1

1.2

(1.7–6.4)

Birmingham-Hoover, Alabama

1,172

6.2

1.2

(3.8–8.5)

Bismarck, North Dakota

741

3.5

0.9

(1.7–5.2)

Boise City-Nampa, Idaho

1,622

3.5

0.5

(2.5–4.4)

Boston-Quincy, Massachusetts

3,091

7.4

0.8

(5.8–8.9)

Bremerton-Silverdale, Washington

893

5.8

0.9

(4.0–7.5)

Bridgeport-Stamford-Norwalk, Connecticut

2,132

5.6

0.9

(3.8–7.3)

Buffalo-Cheektowaga-Tonawanda, New York

591

8.7

1.9

(4.9–12.4)

Burlington-South Burlington, Vermont

1,960

7.5

1.0

(5.5–9.4)

Cambridge-Newton-Framingham, Massachusetts

2,828

5.6

0.7

(4.2–6.9)

Camden, New Jersey

1,604

3.9

0.6

(2.7–5.0)

Canton-Massillon, Ohio

722

4.1

1.1

(1.9–6.2)

Cape Coral-Fort Myers, Florida

493

6.0

1.2

(3.6–8.3)

Casper, Wyoming

751

6.1

1.3

(3.5–8.6)

Cedar Rapids, Iowa

547

2.8

0.9

(1.0–4.5)

Charleston, West Virginia

764

2.7

1.0

(0.7–4.6)

Charleston-North Charleston, South Carolina

1,117

8.7

1.6

(5.5–11.8)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,667

3.4

0.6

(2.2–4.5)

Chattanooga, Tennessee-Georgia

520

2.2

0.8

(0.6–3.7)

Cheyenne, Wyoming

893

3.4

0.7

(2.0–4.7)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

4,925

6.1

0.6

(4.9–7.2)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,751

6.3

1.1

(4.1–8.4)

Cleveland-Elyria-Mentor, Ohio

1,050

6.3

1.3

(3.7–8.8)

Coeur d´Alene, Idaho

556

6.0

1.6

(2.8–9.1)

Colorado Springs, Colorado

1,090

3.6

0.8

(2.0–5.1)

Columbia, South Carolina

1,113

5.1

1.3

(2.5–7.6)

Columbus, Ohio

1,354

5.0

0.9

(3.2–6.7)

Concord, New Hampshire

627

5.1

1.1

(2.9–7.2)

Dallas-Plano-Irving, Texas

701

4.5

1.0

(2.5–6.4)

Dayton, Ohio

828

5.5

1.4

(2.7–8.2)

Del Rio, Texas

544

2.6

0.7

(1.2–3.9)

Deltona-Daytona Beach-Ormond Beach, Florida

835

4.2

0.9

(2.4–5.9)

Denver-Aurora, Colorado

4,551

5.1

0.4

(4.3–5.8)

Des Moines-West Des Moines, Iowa

991

4.8

0.9

(3.0–6.5)

Detroit-Livonia-Dearborn, Michigan

1,880

5.7

1.0

(3.7–7.6)

Dover, Delaware

1,240

4.0

0.7

(2.6–5.3)

Durham, North Carolina

1,017

4.5

0.8

(2.9–6.0)

Edison, New Jersey

2,135

3.9

0.6

(2.7–5.0)

El Paso, Texas

854

4.3

1.1

(2.1–6.4)

Eugene-Springfield, Oregon

495

5.8

1.1

(3.6–7.9)

Evansville, Indiana-Kentucky

527

4.8

1.7

(1.4–8.1)

Fargo, North Dakota-Minnesota

813

3.8

0.9

(2.0–5.5)

Farmington, New Mexico

671

3.8

1.2

(1.4–6.1)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

695

3.4

1.2

(1.0–5.7)

Fort Collins-Loveland, Colorado

528

5.7

1.6

(2.5–8.8)

Fort Wayne, Indiana

705

2.6

0.7

(1.2–3.9)

Fort Worth-Arlington, Texas

719

3.3

1.1

(1.1–5.4)


TABLE 41. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

930

4.6

1.2

(2.2–6.9)

Grand Island, Nebraska

851

5.5

1.2

(3.1–7.8)

Grand Rapids-Wyoming, Michigan

615

5.5

1.3

(2.9–8.0)

Greensboro-High Point, North Carolina

1,142

3.4

0.7

(2.0–4.7)

Greenville, South Carolina

767

2.6

0.7

(1.2–3.9)

Hagerstown-Martinsburg, Maryland-West Virginia

632

3.8

1.1

(1.6–5.9)

Hartford-West Hartford-East Hartford, Connecticut

1,966

3.6

0.7

(2.2–4.9)

Hastings, Nebraska

579

2.9

0.8

(1.3–4.4)

Helena, Montana

621

5.2

1.2

(2.8–7.5)

Hickory-Morganton-Lenoir, North Carolina

590

1.3

0.6

(0.1–2.4)

Hilo, Hawaii

1,462

7.6

1.0

(5.6–9.5)

Hilton Head Island-Beaufort, South Carolina

780

6.5

0.9

(4.7–8.2)

Homosassa Springs, Florida

517

5.8

1.4

(3.0–8.5)

Honolulu, Hawaii

2,927

6.3

0.6

(5.1–7.4)

Houston-Sugar Land-Baytown, Texas

2,657

6.1

1.1

(3.9–8.2)

Huntington-Ashland, West Virginia-Kentucky-Ohio

645

4.3

1.1

(2.1–6.4)

Idaho Falls, Idaho

658

1.6

0.5

(0.6–2.5)

Indianapolis-Carmel, Indiana

2,193

4.6

0.7

(3.2–5.9)

Jackson, Mississippi

747

2.6

0.7

(1.2–3.9)

Jacksonville, Florida

2,528

6.4

0.9

(4.6–8.1)

Kahului-Wailuku, Hawaii

1,439

6.1

0.8

(4.5–7.6)

Kalispell, Montana

686

6.5

1.2

(4.1–8.8)

Kansas City, Missouri-Kansas

3,313

4.2

0.5

(3.2–5.1)

Kapaa, Hawaii

635

9.5

1.6

(6.3–12.6)

Kennewick-Richland-Pasco, Washington

625

2.4

0.5

(1.4–3.3)

Key West-Marathon, Florida

479

10.0

1.7

(6.6–13.3)

Kingsport-Bristol, Tennessee-Virginia

630

NA§

NA

NA

Knoxville, Tennessee

509

NA

NA

NA

Lake City, Florida

553

5.0

1.6

(1.8–8.1)

Lakeland-Winter Haven, Florida

503

4.0

0.9

(2.2–5.7)

Laredo, Texas

891

2.1

0.7

(0.7–3.4)

Las Cruces, New Mexico

494

3.3

0.8

(1.7–4.8)

Las Vegas-Paradise, Nevada

1,236

5.1

0.7

(3.7–6.4)

Lebanon, New Hampshire-Vermont

1,518

9.2

1.2

(6.8–11.5)

Lewiston, Idaho-Washington

586

4.4

1.0

(2.4–6.3)

Lewiston-Auburn, Maine

492

2.5

0.7

(1.1–3.8)

Lincoln, Nebraska

1,121

5.9

1.3

(3.3–8.4)

Little Rock-North Little Rock, Arkansas

806

4.3

1.1

(2.1–6.4)

Los Angeles-Long Beach-Glendale, California

2,435

5.2

0.7

(3.8–6.5)

Louisville, Kentucky-Indiana

874

5.1

0.9

(3.3–6.8)

Lubbock, Texas

768

6.2

2.2

(1.8–10.5)

Manchester-Nashua, New Hampshire

1,385

6.1

1.0

(4.1–8.0)

McAllen-Edinburg-Mission, Texas

586

4.1

1.4

(1.3–6.8)

Memphis, Tennessee-Mississippi-Arkansas

1,121

1.8

0.5

(0.8–2.7)

Miami-Fort Lauderdale-Miami Beach, Florida

997

2.5

0.6

(1.3–3.6)

Midland, Texas

507

4.7

1.6

(1.5–7.8)

Milwaukee-Waukesha-West Allis, Wisconsin

1,458

6.7

1.2

(4.3–9.0)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

4,699

4.1

0.5

(3.1–5.0)

Minot, North Dakota

546

4.7

1.1

(2.5–6.8)

Mobile, Alabama

655

6.2

1.5

(3.2–9.1)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

539

6.7

1.8

(3.1–10.2)

Naples-Marco Island, Florida

501

9.5

1.9

(5.7–13.2)

Nashville-Davidson-Murfreesboro, Tennessee

796

1.0

0.3

(0.4–1.5)

Nassau-Suffolk, New York

1,047

5.4

1.0

(3.4–7.3)

Newark-Union, New Jersey-Pennsylvania

3,123

3.8

0.4

(3.0–4.5)

New Haven-Milford, Connecticut

1,631

5.5

1.0

(3.5–7.4)

New Orleans-Metairie-Kenner, Louisiana

1,479

5.4

0.8

(3.8–6.9)

New York-White Plains-Wayne, New York-New Jersey

5,926

4.0

0.4

(3.2–4.7)

Norfolk, Nebraska

660

5.2

1.3

(2.6–7.7)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

568

1,094

5.6

8.3

1.4

1.5

(2.8–8.3)

(5.7 – 10.8)

Ocala, Florida

566

4.2

1.2

(1.8–6.5)

Ocean City, New Jersey

488

8.0

1.6

(4.8–11.1)


TABLE 41. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

1,677

3.0

0.7

(1.6–4.3)

Oklahoma City, Oklahoma

2,441

3.8

0.7

(2.4–5.1)

Olympia, Washington

758

5.3

1.1

(3.1–7.4)

Omaha-Council Bluffs, Nebraska-Iowa

2,310

5.9

0.8

(4.3–7.4)

Orlando-Kissimmee, Florida

2,569

5.2

0.8

(3.6–6.7)

Palm Bay-Melbourne-Titusville, Florida

505

5.7

1.4

(2.9–8.4)

Panama City-Lynn Haven, Florida

Peabody, Massachusetts

537

1,989

7.5

6.8

2.0

1.0

(3.5–11.4)

(4.8 – 8.7)

Pensacola-Ferry Pass-Brent, Florida

987

5.6

1.1

(3.4–7.7)

Philadelphia, Pennsylvania*

2,309

3.2

0.5

(2.2–4.1)

Phoenix-Mesa-Scottsdale, Arizona

1,649

4.5

0.7

(3.1–5.8)

Pittsburgh, Pennsylvania

2,371

3.8

0.5

(2.8–4.7)

Portland-South Portland-Biddeford, Maine

2,566

5.7

0.6

(4.5–6.8)

Portland-Vancouver-Beaverton, Oregon-Washington

3,271

5.9

0.6

(4.7–7.0)

Port St. Lucie-Fort Pierce, Florida

990

5.4

1.0

(3.4–7.3)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

9,183

5.7

0.4

(4.9–6.4)

Provo-Orem, Utah

1,165

1.5

0.6

(0.3–2.6)

Raleigh-Cary, North Carolina

997

3.2

0.6

(2.0–4.3)

Rapid City, South Dakota

825

4.1

1.0

(2.1–6.0)

Reno-Sparks, Nevada

1,293

8.5

1.2

(6.1–10.8)

Richmond, Virginia

758

6.7

1.8

(3.1–10.2)

Riverside-San Bernardino-Ontario, California

1,776

5.8

0.9

(4.0–7.5)

Rochester, New York

555

4.1

1.1

(1.9–6.2)

Rockingham County-Strafford County, New Hampshire

1,565

6.5

1.0

(4.5–8.4)

Rutland, Vermont

648

7.2

1.4

(4.4–9.9)

Sacramento-Arden-Arcade-Roseville, California

1,229

5.1

0.8

(3.5–6.6)

St. Louis, Missouri-Illinois

1,712

6.1

1.0

(4.1–8.0)

Salt Lake City, Utah

4,235

4.0

0.5

(3.0–4.9)

San Antonio, Texas

1,105

8.2

1.4

(5.4–10.9)

San Diego-Carlsbad-San Marcos, California

1,604

7.3

1.0

(5.3–9.2)

San Francisco-Oakland-Fremont, California

2,225

6.1

0.6

(4.9–7.2)

San Jose-Sunnyvale-Santa Clara, California

868

4.0

0.9

(2.2–5.7)

Santa Ana-Anaheim-Irvine, California

1,359

4.3

0.7

(2.9–5.6)

Santa Fe, New Mexico

598

7.8

1.4

(5.0–10.5)

Scottsbluff, Nebraska

746

2.5

0.6

(1.3–3.6)

Scranton-Wilkes-Barre, Pennsylvania

541

7.3

1.5

(4.3–10.2)

Seaford, Delaware

1,226

5.6

0.9

(3.8–7.3)

Seattle-Bellevue-Everett, Washington

4,553

6.1

0.5

(5.1–7.0)

Sebring, Florida

507

7.1

1.7

(3.7–10.4)

Shreveport-Bossier City, Louisiana

652

3.0

0.9

(1.2–4.7)

Sioux City, Iowa-Nebraska-South Dakota

1,193

5.1

1.4

(2.3–7.8)

Sioux Falls, South Dakota

822

6.4

1.3

(3.8–8.9)

Spokane, Washington

1,185

5.5

0.8

(3.9–7.0)

Springfield, Massachusetts

1,915

9.2

1.5

(6.2–12.1)

Tacoma, Washington

1,663

5.4

0.7

(4.0–6.7)

Tallahassee, Florida

1,991

3.5

0.6

(2.3–4.6)

Tampa-St. Petersburg-Clearwater, Florida

1,969

5.3

0.8

(3.7–6.8)

Toledo, Ohio

836

3.3

0.9

(1.5–5.0)

Topeka, Kansas

814

4.6

1.0

(2.6–6.5)

Trenton-Ewing, New Jersey

483

2.5

0.6

(1.3–3.6)

Tucson, Arizona

680

8.0

1.9

(4.2–11.7)

Tulsa, Oklahoma

2,100

3.1

0.5

(2.1–4.0)

Tuscaloosa, Alabama

505

5.2

1.8

(1.6–8.7)

Twin Falls, Idaho

530

4.0

1.3

(1.4–6.5)

Tyler, Texas

655

5.1

1.9

(1.3–8.8)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

1,045

5.2

1.5

(2.2–8.1)

Warren-Troy-Farmington Hills, Michigan

1,765

5.4

0.8

(3.8–6.9)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia

6,249

5.0

0.7

(3.6–6.3)

Wauchula, Florida

514

7.9

2.6

(2.8–12.9)

West Palm Beach-Boca Raton-Boynton Beach, Florida

532

6.3

1.6

(3.1–9.4)

Wichita, Kansas

1,813

2.8

0.5

(1.8–3.7)

Wichita Falls, Texas

814

3.1

1.0

(1.1–5.0)

Wilmington, Delaware-Maryland-New Jersey

2,177

6.0

0.8

(4.4–7.5)


TABLE 41. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

1,955

6.3

1.3

(3.7–8.8)

Yakima, Washington

706

4.1

0.9

(2.3–5.8)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

1,021

4.3

2.0

(0.3–8.2)

Median

5.1

Range

1.0-10.0

Abbreviations: SE = standard error; CI = confidence interval.

* For adult men: having more than two drinks per day, for adult women: having more than one drink per day.

Metropolitan division.

§ Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 42. Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

584

7.5

1.7

(4.1–10.8)

Mobile County, Alabama

655

6.2

1.5

(3.2–9.1)

Tuscaloosa County, Alabama

426

5.8

2.0

(1.8–9.7)

Maricopa County, Arizona

1,271

4.1

0.7

(2.7–5.4)

Pima County, Arizona

680

8.0

1.9

(4.2–11.7)

Pinal County, Arizona

378

8.5

2.4

(3.7–13.2)

Benton County, Arkansas

361

NA

NA

NA

Pulaski County, Arkansas

544

4.5

1.4

(1.7–7.2)

Washington County, Arkansas

293

3.4

1.2

(1.0–5.7)

Alameda County, California

714

5.2

0.9

(3.4–6.9)

Contra Costa County, California

605

4.6

0.9

(2.8–6.3)

Los Angeles County, California

2,435

5.2

0.7

(3.8–6.5)

Orange County, California

1,359

4.3

0.7

(2.9–5.6)

Placer County, California

239

6.2

2.2

(1.8–10.5)

Riverside County, California

883

4.7

1.0

(2.7–6.6)

Sacramento County, California

711

4.0

0.8

(2.4–5.5)

San Bernardino County, California

893

6.9

1.4

(4.1–9.6)

San Diego County, California

1,604

7.3

1.0

(5.3–9.2)

San Francisco County, California

360

9.2

2.0

(5.2–13.1)

San Mateo County, California

355

3.9

0.9

(2.1–5.6)

Santa Clara County, California

834

4.0

1.0

(2.0–5.9)

Adams County, Colorado

761

5.6

1.2

(3.2–7.9)

Arapahoe County, Colorado

819

4.2

0.8

(2.6–5.7)

Denver County, Colorado

827

6.1

1.2

(3.7–8.4)

Douglas County, Colorado

539

5.6

1.3

(3.0–8.1)

El Paso County, Colorado

970

3.6

0.8

(2.0–5.1)

Jefferson County, Colorado

1,100

5.0

0.9

(3.2–6.7)

Larimer County, Colorado

528

5.7

1.6

(2.5–8.8)

Fairfield County, Connecticut

2,132

5.6

0.9

(3.8–7.3)

Hartford County, Connecticut

1,458

3.6

0.8

(2.0–5.1)

Middlesex County, Connecticut

260

5.4

1.4

(2.6–8.1)

New Haven County, Connecticut

1,631

5.5

1.0

(3.5–7.4)

Tolland County, Connecticut

248

1.0

0.4

(0.2–1.7)

Kent County, Delaware

1,240

4.0

0.7

(2.6–5.3)

New Castle County, Delaware

1,726

6.5

0.9

(4.7–8.2)

Sussex County, Delaware

1,226

5.6

0.9

(3.8–7.3)

District of Columbia, District of Columbia

3,869

6.7

0.7

(5.3–8.0)

Alachua County, Florida

520

5.2

1.5

(2.2–8.1)

Baker County, Florida

502

2.8

0.8

(1.2–4.3)

Bay County, Florida

537

7.5

2.0

(3.5–11.4)

Brevard County, Florida

505

5.7

1.4

(2.9–8.4)

Broward County, Florida

509

3.3

1.0

(1.3–5.2)

Citrus County, Florida

517

5.8

1.4

(3.0–8.5)

Clay County, Florida

478

6.1

1.6

(2.9–9.2)

Collier County, Florida

501

9.5

1.9

(5.7–13.2)

Columbia County, Florida

553

5.0

1.6

(1.8–8.1)

DeSoto County, Florida

482

6.7

1.8

(3.1–10.2)

Duval County, Florida

535

6.3

1.5

(3.3–9.2)

Escambia County, Florida

506

7.8

2.0

(3.8–11.7)

Gadsden County, Florida

501

2.8

1.0

(0.8–4.7)

Gilchrist County, Florida

410

5.1

2.1

(0.9–9.2)

Hardee County, Florida

514

7.9

2.6

(2.8–12.9)

Hernando County, Florida

475

4.9

1.4

(2.1–7.6)

Highlands County, Florida

507

7.1

1.7

(3.7–10.4)

Hillsborough County, Florida

489

5.6

1.6

(2.4–8.7)

Jefferson County, Florida

492

3.9

1.1

(1.7–6.0)

Lake County, Florida

577

6.7

1.5

(3.7–9.6)

Lee County, Florida

493

6.0

1.2

(3.6–8.3)

Leon County, Florida

483

3.3

0.9

(1.5–5.0)

Manatee County, Florida

507

8.6

2.7

(3.3–13.8)

Marion County, Florida

566

4.2

1.2

(1.8–6.5)

Martin County, Florida

499

8.2

1.5

(5.2–11.1)

Miami-Dade County, Florida

488

1.9

0.6

(0.7–3.0)


TABLE 42. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

479

10.0

1.7

(6.6–13.3)

Nassau County, Florida

503

5.7

1.3

(3.1–8.2)

Orange County, Florida

973

4.2

1.0

(2.2–6.1)

Osceola County, Florida

551

3.8

1.5

(0.8–6.7)

Palm Beach County, Florida

532

6.3

1.6

(3.1–9.4)

Pasco County, Florida

526

7.2

2.0

(3.2–11.1)

Pinellas County, Florida

479

4.9

1.1

(2.7–7.0)

Polk County, Florida

503

4.0

0.9

(2.2–5.7)

St. Johns County, Florida

510

9.4

1.7

(6.0–12.7)

St. Lucie County, Florida

491

4.7

1.4

(1.9–7.4)

Santa Rosa County, Florida

481

4.3

1.2

(1.9–6.6)

Sarasota County, Florida

587

9.3

1.8

(5.7–12.8)

Seminole County, Florida

468

6.6

1.6

(3.4–9.7)

Volusia County, Florida

835

4.2

0.9

(2.4–5.9)

Wakulla County, Florida

515

9.1

2.4

(4.3–13.8)

Cobb County, Georgia

241

4.3

1.7

(0.9–7.6)

DeKalb County, Georgia

326

2.5

1.0

(0.5–4.4)

Fulton County, Georgia

319

7.1

2.1

(2.9–11.2)

Gwinnett County, Georgia

243

1.1

0.5

(0.1–2.0)

Hawaii County, Hawaii

1,462

7.6

1.0

(5.6–9.5)

Honolulu County, Hawaii

2,927

6.3

0.6

(5.1–7.4)

Kauai County, Hawaii

635

9.5

1.6

(6.3–12.6)

Maui County, Hawaii

1,439

6.1

0.8

(4.5–7.6)

Ada County, Idaho

842

3.5

0.7

(2.1–4.8)

Bonneville County, Idaho

517

1.8

0.6

(0.6–2.9)

Canyon County, Idaho

604

2.9

0.8

(1.3–4.4)

Kootenai County, Idaho

556

6.0

1.6

(2.8–9.1)

Nez Perce County, Idaho

370

3.2

1.0

(1.2–5.1)

Twin Falls County, Idaho

427

3.9

1.4

(1.1–6.6)

Cook County, Illinois

2,845

6.7

0.8

(5.1–8.2)

DuPage County, Illinois

252

6.5

2.5

(1.6–11.4)

Allen County, Indiana

572

3.0

0.8

(1.4–4.5)

Lake County, Indiana

974

3.5

1.0

(1.5–5.4)

Marion County, Indiana

1,421

5.1

1.1

(2.9–7.2)

Linn County, Iowa

485

3.6

1.1

(1.4–5.7)

Polk County, Iowa

757

5.0

1.1

(2.8–7.1)

Johnson County, Kansas

1,389

5.7

0.9

(3.9–7.4)

Sedgwick County, Kansas

1,404

3.1

0.7

(1.7–4.4)

Shawnee County, Kansas

612

4.1

1.1

(1.9–6.2)

Wyandotte County, Kansas

598

4.3

1.3

(1.7–6.8)

Jefferson County, Kentucky

392

5.8

1.4

(3.0–8.5)

Caddo Parish, Louisiana

431

2.0

0.8

(0.4–3.5)

East Baton Rouge Parish, Louisiana

695

4.2

0.9

(2.4–5.9)

Jefferson Parish, Louisiana

575

4.4

1.2

(2.0–6.7)

Orleans Parish, Louisiana

365

6.4

1.7

(3.0–9.7)

St. Tammany Parish, Louisiana

351

8.1

2.0

(4.1–12.0)

Androscoggin County, Maine

492

2.5

0.7

(1.1–3.8)

Cumberland County, Maine

1,358

6.3

0.9

(4.5–8.0)

Kennebec County, Maine

631

6.4

1.7

(3.0–9.7)

Penobscot County, Maine

677

4.9

1.2

(2.5–7.2)

Sagadahoc County, Maine

289

5.9

1.9

(2.1–9.6)

York County, Maine

919

4.6

0.8

(3.0–6.1)

Anne Arundel County, Maryland

592

3.0

0.7

(1.6–4.3)

Baltimore County, Maryland

1,018

4.2

1.2

(1.8–6.5)

Cecil County, Maryland

264

5.6

2.0

(1.6–9.5)

Charles County, Maryland

345

2.1

0.8

(0.5–3.6)

Frederick County, Maryland

566

6.7

1.5

(3.7–9.6)

Harford County, Maryland

271

5.5

1.7

(2.1–8.8)

Howard County, Maryland

333

4.8

1.2

(2.4–7.1)

Montgomery County, Maryland

1,024

4.8

0.9

(3.0–6.5)

Prince George´s County, Maryland

767

2.4

0.6

(1.2–3.5)

Queen Anne´s County, Maryland

282

9.1

2.1

(4.9–13.2)

Washington County, Maryland

396

4.7

1.8

(1.1–8.2)


TABLE 42. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

507

5.4

1.5

(2.4–8.3)

Bristol County, Massachusetts

2,696

6.8

1.2

(4.4–9.1)

Essex County, Massachusetts

1,989

7.1

1.0

(5.1–9.0)

Hampden County, Massachusetts

1,483

9.3

2.7

(4.0–14.5)

Hampshire County, Massachusetts

257

14.2

4.0

(6.3–22.0)

Middlesex County, Massachusetts

2,828

5.5

0.6

(4.3–6.6)

Norfolk County, Massachusetts

807

6.8

1.0

(4.8–8.7)

Plymouth County, Massachusetts

643

7.5

1.7

(4.1–10.8)

Suffolk County, Massachusetts

1,641

10.4

2.4

(5.6–15.1)

Worcester County, Massachusetts

1,955

6.3

1.3

(3.7–8.8)

Kent County, Michigan

439

5.5

1.6

(2.3–8.6)

Macomb County, Michigan

502

4.1

1.0

(2.1–6.0)

Oakland County, Michigan

921

6.4

1.4

(3.6–9.1)

Wayne County, Michigan

1,880

5.7

1.0

(3.7–7.6)

Anoka County, Minnesota

384

3.0

1.0

(1.0–4.9)

Dakota County, Minnesota

559

2.6

0.7

(1.2–3.9)

Hennepin County, Minnesota

1,976

4.9

1.1

(2.7–7.0)

Ramsey County, Minnesota

888

4.6

1.1

(2.4–6.7)

Washington County, Minnesota

248

3.2

1.3

(0.6–5.7)

DeSoto County, Mississippi

359

2.7

1.0

(0.7–4.6)

Hinds County, Mississippi

330

2.5

1.1

(0.3–4.6)

Jackson County, Missouri

517

3.0

0.8

(1.4–4.5)

St. Louis County, Missouri

586

7.3

2.0

(3.3–11.2)

St. Louis city, Missouri

629

5.5

1.1

(3.3–7.6)

Flathead County, Montana

686

6.5

1.2

(4.1–8.8)

Lewis and Clark County, Montana

515

5.7

1.4

(2.9–8.4)

Yellowstone County, Montana

478

4.2

1.3

(1.6–6.7)

Adams County, Nebraska

471

3.1

1.0

(1.1–5.0)

Dakota County, Nebraska

723

4.0

1.1

(1.8–6.1)

Douglas County, Nebraska

932

5.9

1.0

(3.9–7.8)

Hall County, Nebraska

580

5.4

1.5

(2.4–8.3)

Lancaster County, Nebraska

837

5.9

1.4

(3.1–8.6)

Lincoln County, Nebraska

536

4.9

1.2

(2.5–7.2)

Madison County, Nebraska

456

5.2

1.5

(2.2–8.1)

Sarpy County, Nebraska

569

5.5

1.3

(2.9–8.0)

Scotts Bluff County, Nebraska

724

2.8

0.8

(1.2–4.3)

Seward County, Nebraska

284

5.1

1.8

(1.5–8.6)

Clark County, Nevada

1,236

5.1

0.7

(3.7–6.4)

Washoe County, Nevada

1,273

8.3

1.2

(5.9–10.6)

Grafton County, New Hampshire

503

10.8

2.2

(6.4–15.1)

Hillsborough County, New Hampshire

1,385

6.1

1.0

(4.1–8.0)

Merrimack County, New Hampshire

627

5.1

1.1

(2.9–7.2)

Rockingham County, New Hampshire

989

5.5

1.0

(3.5–7.4)

Strafford County, New Hampshire

576

8.3

2.0

(4.3–12.2)

Atlantic County, New Jersey

870

5.4

1.3

(2.8–7.9)

Bergen County, New Jersey

589

7.0

1.8

(3.4–10.5)

Burlington County, New Jersey

538

4.0

1.0

(2.0–5.9)

Camden County, New Jersey

576

3.3

0.8

(1.7–4.8)

Cape May County, New Jersey

488

8.0

1.6

(4.8–11.1)

Essex County, New Jersey

954

3.7

0.8

(2.1–5.2)

Gloucester County, New Jersey

490

5.0

1.4

(2.2–7.7)

Hudson County, New Jersey

1,041

3.6

0.7

(2.2–4.9)

Hunterdon County, New Jersey

485

7.3

1.6

(4.1–10.4)

Mercer County, New Jersey

483

2.5

0.6

(1.3–3.6)

Middlesex County, New Jersey

598

3.1

0.8

(1.5–4.6)

Monmouth County, New Jersey

522

4.8

1.4

(2.0–7.5)

Morris County, New Jersey

670

4.4

0.9

(2.6–6.1)

Ocean County, New Jersey

499

3.7

0.9

(1.9–5.4)

Passaic County, New Jersey

466

4.0

1.2

(1.6–6.3)

Somerset County, New Jersey

516

4.3

1.0

(2.3–6.2)

Sussex County, New Jersey

470

4.8

1.2

(2.4–7.1)

Union County, New Jersey

486

3.2

0.8

(1.6–4.7)

Warren County, New Jersey

443

2.9

1.0

(0.9–4.8)


TABLE 42. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

1,235

4.2

0.7

(2.8–5.5)

Dona Ana County, New Mexico

494

3.3

0.8

(1.7–4.8)

Sandoval County, New Mexico

507

3.3

1.5

(0.3–6.2)

San Juan County, New Mexico

671

3.8

1.2

(1.4–6.1)

Santa Fe County, New Mexico

598

7.8

1.4

(5.0–10.5)

Valencia County, New Mexico

339

4.0

1.7

(0.6–7.3)

Bronx County, New York

422

3.2

1.3

(0.6–5.7)

Erie County, New York

465

8.0

1.8

(4.4–11.5)

Kings County, New York

876

2.9

0.8

(1.3–4.4)

Monroe County, New York

373

4.6

1.5

(1.6–7.5)

Nassau County, New York

465

4.8

1.7

(1.4–8.1)

New York County, New York

1,008

5.5

0.9

(3.7–7.2)

Queens County, New York

767

1.9

0.5

(0.9–2.8)

Suffolk County, New York

582

6.2

1.3

(3.6–8.7)

Westchester County, New York

369

5.9

1.7

(2.5–9.2)

Buncombe County, North Carolina

259

5.0

1.7

(1.6–8.3)

Cabarrus County, North Carolina

302

1.5

0.7

(0.1–2.8)

Catawba County, North Carolina

287

NA

NA

NA

Durham County, North Carolina

611

3.8

1.0

(1.8–5.7)

Gaston County, North Carolina

258

3.6

1.2

(1.2–5.9)

Guilford County, North Carolina

683

4.1

1.0

(2.1–6.0)

Johnston County, North Carolina

272

2.0

0.9

(0.2–3.7)

Mecklenburg County, North Carolina

593

4.1

1.1

(1.9–6.2)

Orange County, North Carolina

293

6.8

1.7

(3.4–10.1)

Randolph County, North Carolina

393

2.7

1.2

(0.3–5.0)

Union County, North Carolina

343

4.5

1.7

(1.1–7.8)

Wake County, North Carolina

687

3.5

0.8

(1.9–5.0)

Burleigh County, North Dakota

536

2.4

0.8

(0.8–3.9)

Cass County, North Dakota

761

5.7

1.4

(2.9–8.4)

Ward County, North Dakota

456

4.5

1.2

(2.1–6.8)

Cuyahoga County, Ohio

688

5.3

1.3

(2.7–7.8)

Franklin County, Ohio

664

4.4

1.1

(2.2–6.5)

Hamilton County, Ohio

706

5.7

1.4

(2.9–8.4)

Lucas County, Ohio

703

4.0

1.2

(1.6–6.3)

Mahoning County, Ohio

698

2.7

0.6

(1.5–3.8)

Montgomery County, Ohio

684

6.6

1.6

(3.4–9.7)

Stark County, Ohio

691

4.3

1.1

(2.1–6.4)

Summit County, Ohio

684

4.8

1.1

(2.6–6.9)

Cleveland County, Oklahoma

429

5.4

2.0

(1.4–9.3)

Oklahoma County, Oklahoma

1,415

3.7

0.8

(2.1–5.2)

Tulsa County, Oklahoma

1,489

3.5

0.6

(2.3–4.6)

Clackamas County, Oregon

426

4.9

1.4

(2.1–7.6)

Lane County, Oregon

495

5.8

1.1

(3.6–7.9)

Multnomah County, Oregon

781

6.9

1.1

(4.7–9.0)

Washington County, Oregon

562

6.3

1.4

(3.5–9.0)

Allegheny County, Pennsylvania

1,347

4.8

0.8

(3.2–6.3)

Lehigh County, Pennsylvania

274

3.5

1.3

(0.9–6.0)

Luzerne County, Pennsylvania

307

5.7

1.6

(2.5–8.8)

Montgomery County, Pennsylvania

342

2.8

1.1

(0.6–4.9)

Northampton County, Pennsylvania

254

5.9

2.1

(1.7–10.0)

Philadelphia County, Pennsylvania

1,368

3.1

0.6

(1.9–4.2)

Westmoreland County, Pennsylvania

329

3.3

1.2

(0.9–5.6)

Bristol County, Rhode Island

276

5.7

1.8

(2.1–9.2)

Kent County, Rhode Island

923

5.9

1.0

(3.9–7.8)

Newport County, Rhode Island

477

6.3

1.1

(4.1–8.4)

Providence County, Rhode Island

4,079

4.7

0.5

(3.7–5.6)

Washington County, Rhode Island

732

7.1

1.4

(4.3–9.8)

Aiken County, South Carolina

457

4.8

1.3

(2.2–7.3)

Beaufort County, South Carolina

661

7.0

1.0

(5.0–8.9)

Berkeley County, South Carolina

348

7.7

2.5

(2.8–12.6)

Charleston County, South Carolina

649

8.9

1.9

(5.1–12.6)

Greenville County, South Carolina

488

3.5

1.0

(1.5–5.4)

Horry County, South Carolina

539

6.7

1.8

(3.1–10.2)


TABLE 42. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

646

7.6

2.2

(3.2–11.9)

Minnehaha County, South Dakota

591

6.3

1.6

(3.1–9.4)

Pennington County, South Dakota

646

5.4

1.3

(2.8–7.9)

Davidson County, Tennessee

396

NA

NA

NA

Hamilton County, Tennessee

369

2.2

0.9

(0.4–3.9)

Knox County, Tennessee

355

1.1

0.5

(0.1–2.0)

Shelby County, Tennessee

374

NA

NA

NA

Sullivan County, Tennessee

444

2.3

1.0

(0.3–4.2)

Bexar County, Texas

948

9.5

1.7

(6.1–12.8)

Dallas County, Texas

383

4.0

1.2

(1.6–6.3)

El Paso County, Texas

854

4.3

1.1

(2.1–6.4)

Fort Bend County, Texas

903

3.0

1.2

(0.6–5.3)

Harris County, Texas

1,413

4.9

0.9

(3.1–6.6)

Hidalgo County, Texas

586

4.1

1.4

(1.3–6.8)

Lubbock County, Texas

744

3.8

1.3

(1.2–6.3)

Midland County, Texas

507

4.7

1.6

(1.5–7.8)

Potter County, Texas

330

4.3

1.7

(0.9–7.6)

Randall County, Texas

453

3.5

1.3

(0.9–6.0)

Smith County, Texas

655

5.1

1.9

(1.3–8.8)

Tarrant County, Texas

591

3.4

1.3

(0.8–5.9)

Travis County, Texas

733

6.3

2.3

(1.7–10.8)

Val Verde County, Texas

544

2.6

0.7

(1.2–3.9)

Webb County, Texas

891

2.1

0.7

(0.7–3.4)

Wichita County, Texas

666

3.6

1.2

(1.2–5.9)

Davis County, Utah

868

3.2

1.0

(1.2–5.1)

Salt Lake County, Utah

3,227

4.0

0.5

(3.0–4.9)

Summit County, Utah

444

6.7

1.4

(3.9–9.4)

Tooele County, Utah

564

2.6

0.8

(1.0–4.1)

Utah County, Utah

1,105

1.5

0.6

(0.3–2.6)

Weber County, Utah

764

2.6

0.8

(1.0–4.1)

Chittenden County, Vermont

1,408

8.0

1.2

(5.6–10.3)

Franklin County, Vermont

474

5.6

1.5

(2.6–8.5)

Orange County, Vermont

349

8.2

2.1

(4.0–12.3)

Rutland County, Vermont

648

7.2

1.4

(4.4–9.9)

Washington County, Vermont

653

7.3

1.3

(4.7–9.8)

Windsor County, Vermont

666

7.6

1.3

(5.0–10.1)

Benton County, Washington

382

2.6

0.7

(1.2–3.9)

Clark County, Washington

1,062

4.4

0.9

(2.6–6.1)

Franklin County, Washington

243

2.8

1.2

(0.4–5.1)

King County, Washington

2,954

6.5

0.6

(5.3–7.6)

Kitsap County, Washington

893

5.8

0.9

(4.0–7.5)

Pierce County, Washington

1,663

5.3

0.6

(4.1–6.4)

Snohomish County, Washington

1,599

6.2

0.9

(4.4–7.9)

Spokane County, Washington

1,185

5.5

0.8

(3.9–7.0)

Thurston County, Washington

758

5.3

1.1

(3.1–7.4)

Yakima County, Washington

706

4.1

0.9

(2.3–5.8)

Kanawha County, West Virginia

487

3.1

1.3

(0.5–5.6)

Milwaukee County, Wisconsin

1,150

7.5

1.5

(4.5–10.4)

Laramie County, Wyoming

893

3.4

0.7

(2.0–4.7)

Natrona County, Wyoming

751

6.1

1.3

(3.5–8.6)

Median

5.0

Range

1.0-14.2

Abbreviations: SE = standard error; CI = confidence interval.

* For adult men: having more than two drinks per day, for adult women: having more than one drink per day.

Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 43. Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

7,655

31.1

0.8

(29.6–32.6)

Alaska

1,955

22.0

1.5

(19.0–24.9)

Arizona

5,747

20.8

1.0

(18.9–22.7)

Arkansas

4,015

29.8

1.1

(27.5–32.0)

California

17,775

20.4

0.4

(19.6–21.2)

Colorado

11,649

18.2

0.6

(17.1–19.3)

Connecticut

6,767

20.7

0.7

(19.3–22.1)

Delaware

4,238

23.9

0.9

(22.2–25.7)

District of Columbia

3,973

20.0

0.9

(18.3–21.7)

Florida

35,018

24.0

0.5

(23.0–25.1)

Georgia

5,779

25.1

0.8

(23.5–26.7)

Hawaii

6,551

19.2

0.7

(17.8–20.6)

Idaho

6,997

20.0

0.7

(18.7–21.3)

Illinois

5,201

25.7

0.9

(24.0–27.4)

Indiana

10,200

26.5

0.7

(25.1–27.8)

Iowa

6,095

24.8

0.8

(23.3–26.3)

Kansas

8,561

24.0

0.6

(22.8–25.2)

Kentucky

8,056

29.3

0.8

(27.7–30.9)

Louisiana

7,030

30.1

0.8

(28.5–31.6)

Maine

8,118

22.5

0.6

(21.2–23.7)

Maryland

9,179

23.1

0.7

(21.8–24.4)

Massachusetts

16,282

20.6

0.5

(19.6–21.6)

Michigan

8,859

23.6

0.6

(22.4–24.9)

Minnesota

8,957

19.1

0.7

(17.7–20.5)

Mississippi

8,083

33.0

0.8

(31.4–34.6)

Missouri

5,427

27.2

1.0

(25.2–29.2)

Montana

7,298

21.6

0.8

(20.1–23.1)

Nebraska

16,367

24.7

0.7

(23.4–26.1)

Nevada

3,908

23.0

1.2

(20.7–25.4)

New Hampshire

6,038

19.9

0.7

(18.6–21.3)

New Jersey

12,425

26.6

0.6

(25.4–27.8)

New Mexico

6,994

21.6

0.7

(20.1–23.0)

New York

8,929

23.9

0.6

(22.7–25.0)

North Carolina

12,133

25.7

0.6

(24.5–27.0)

North Dakota

4,755

24.8

0.9

(23.0–26.5)

Ohio

9,842

26.1

0.7

(24.8–27.4)

Oklahoma

7,741

29.9

0.7

(28.6–31.3)

Oregon

5,055

17.5

0.8

(16.0–19.0)

Pennsylvania

11,214

25.8

0.6

(24.7–26.9)

Rhode Island

6,596

24.1

0.7

(22.7–25.6)

South Carolina

9,391

27.8

0.9

(26.1–29.5)

South Dakota

6,719

24.7

0.8

(23.2–26.2)

Tennessee

5,764

29.9

1.0

(28.0–31.9)

Texas

18,039

26.6

0.7

(25.3–28.0)

Utah

10,161

17.9

0.6

(16.8–19.0)

Vermont

6,787

17.9

0.6

(16.7–19.1)

Virginia

5,381

23.3

1.0

(21.4–25.3)

Washington

19,583

18.3

0.4

(17.5–19.1)

West Virginia

4,399

32.9

0.9

(31.1–34.7)

Wisconsin

4,778

22.8

1.0

(20.9–24.8)

Wyoming

5,832

22.2

0.7

(20.7–23.6)

Guam

783

24.8

1.9

(21.0–28.6)

Puerto Rico

3,542

42.3

1.1

(40.1–44.6)

Virgin Islands

1,818

31.8

1.5

(28.8–34.8)

Median

24.0

Range

17.5-42.3

Abbreviations: SE = standard error; CI = confidence interval.

* Any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise.


TABLE 44. Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95%CI)

Akron, Ohio

809

22.6

2.2

(18.2–26.9)

Albuquerque, New Mexico

2,194

18.0

1.2

(15.6–20.3)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

1,090

26.1

2.0

(22.1–30.0)

Amarillo, Texas

827

24.1

2.1

(19.9–28.2)

Arcadia, Florida

502

35.1

4.2

(26.8–43.3)

Asheville, North Carolina

548

22.2

2.3

(17.6–26.7)

Atlanta-Sandy Springs-Marietta, Georgia

2,351

22.1

1.5

(19.1–25.0)

Atlantic City, New Jersey

921

27.8

2.0

(23.8–31.7)

Augusta-Richmond County, Georgia-South Carolina

874

25.9

2.4

(21.1–30.6)

Augusta-Waterville, Maine

653

22.3

2.1

(18.1–26.4)

Austin-Round Rock, Texas

975

19.3

2.4

(14.5–24.0)

Baltimore-Towson, Maryland

3,340

24.0

1.0

(22.0–25.9)

Bangor, Maine

691

24.1

2.1

(19.9–28.2)

Barre, Vermont

670

16.1

1.9

(12.3–19.8)

Baton Rouge, Louisiana

1,201

25.7

1.7

(22.3–29.0)

Bethesda-Gaithersburg-Frederick, Maryland

1,642

17.3

1.3

(14.7–19.8)

Billings, Montana

536

24.0

2.5

(19.1–28.9)

Birmingham-Hoover, Alabama

1,198

29.2

1.8

(25.6–32.7)

Bismarck, North Dakota

769

19.4

1.8

(15.8–22.9)

Boise City-Nampa, Idaho

1,662

16.6

1.1

(14.4–18.7)

Boston-Quincy, Massachusetts

3,308

21.5

1.2

(19.1–23.8)

Bremerton-Silverdale, Washington

922

15.3

1.5

(12.3–18.2)

Bridgeport-Stamford-Norwalk, Connecticut

2,182

18.8

1.4

(16.0–21.5)

Buffalo-Cheektowaga-Tonawanda, New York

608

23.9

2.5

(19.0–28.8)

Burlington-South Burlington, Vermont

1,996

13.6

0.9

(11.8–15.3)

Cambridge-Newton-Framingham, Massachusetts

3,023

17.3

1.1

(15.1–19.4)

Camden, New Jersey*

1,695

27.2

1.6

(24.0–30.3)

Canton-Massillon, Ohio

747

26.6

2.2

(22.2–30.9)

Cape Coral-Fort Myers, Florida

517

27.9

2.9

(22.2–33.5)

Casper, Wyoming

767

23.2

2.0

(19.2–27.1)

Cedar Rapids, Iowa

559

25.5

2.5

(20.6–30.4)

Charleston, West Virginia

770

31.4

2.2

(27.0–35.7)

Charleston-North Charleston, South Carolina

1,148

25.4

2.3

(20.8–29.9)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,710

22.6

1.4

(19.8–25.3)

Chattanooga, Tennessee-Georgia

538

32.2

3.3

(25.7–38.6)

Cheyenne, Wyoming

913

23.1

1.7

(19.7–26.4)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

5,019

23.3

1.0

(21.3–25.2)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,797

25.4

1.7

(22.0–28.7)

Cleveland-Elyria-Mentor, Ohio

1,100

22.7

1.6

(19.5–25.8)

Coeur d´Alene, Idaho

570

18.8

2.3

(14.2–23.3)

Colorado Springs, Colorado

1,166

19.1

1.6

(15.9–22.2)

Columbia, South Carolina

1,136

27.7

2.2

(23.3–32.0)

Columbus, Ohio

1,387

26.3

1.7

(22.9–29.6)

Concord, New Hampshire

641

16.9

1.9

(13.1–20.6)

Dallas-Plano-Irving, Texas

720

26.4

2.5

(21.5–31.3)

Dayton, Ohio

852

25.2

2.3

(20.6–29.7)

Del Rio, Texas

558

NA§

NA

NA

Deltona-Daytona Beach-Ormond Beach, Florida

862

23.7

2.4

(18.9–28.4)

Denver-Aurora, Colorado

4,836

16.2

0.7

(14.8–17.5)

Des Moines-West Des Moines, Iowa

1,006

22.3

1.5

(19.3–25.2)

Detroit-Livonia-Dearborn, Michigan

1,913

28.3

1.7

(24.9–31.6)

Dover, Delaware

1,255

30.4

1.8

(26.8–33.9)

Durham, North Carolina

1,035

22.0

2.6

(16.9–27.0)

Edison, New Jersey

2,268

26.0

1.3

(23.4–28.5)

El Paso, Texas

871

28.5

2.2

(24.1–32.8)

Eugene-Springfield, Oregon

510

18.2

2.3

(13.6–22.7)

Evansville, Indiana-Kentucky

536

27.7

3.3

(21.2–34.1)

Fargo, North Dakota-Minnesota

834

26.6

3.5

(19.7–33.4)

Farmington, New Mexico

686

22.9

2.3

(18.3–27.4)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

700

26.2

2.7

(20.9–31.4)

Fort Collins-Loveland, Colorado

562

13.1

2.2

(8.7–17.4)

Fort Wayne, Indiana

720

23.4

2.0

(19.4–27.3)

Fort Worth-Arlington, Texas

735

24.0

2.4

(19.2–28.7)


TABLE 44. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95%CI)

Gainesville, Florida

950

19.1

2.6

(14.0–24.1)

Grand Island, Nebraska

861

26.2

2.0

(22.2–30.1)

Grand Rapids-Wyoming, Michigan

623

19.3

1.8

(15.7–22.8)

Greensboro-High Point, North Carolina

1,162

23.4

1.8

(19.8–26.9)

Greenville, South Carolina

778

26.5

3.0

(20.6–32.3)

Hagerstown-Martinsburg, Maryland-West Virginia

643

27.7

2.4

(22.9–32.4)

Hartford-West Hartford-East Hartford, Connecticut

2,017

19.5

1.2

(17.1–21.8)

Hastings, Nebraska

589

26.0

3.0

(20.1–31.8)

Helena, Montana

642

18.4

2.0

(14.4–22.3)

Hickory-Morganton-Lenoir, North Carolina

601

30.2

2.6

(25.1–35.2)

Hilo, Hawaii

1,480

19.2

1.4

(16.4–21.9)

Hilton Head Island-Beaufort, South Carolina

800

19.0

1.9

(15.2–22.7)

Homosassa Springs, Florida

535

22.7

2.3

(18.1–27.2)

Honolulu, Hawaii

2,960

19.7

0.9

(17.9–21.4)

Houston-Sugar Land-Baytown, Texas

2,742

23.6

1.5

(20.6–26.5)

Huntington-Ashland, West Virginia-Kentucky-Ohio

659

30.2

2.4

(25.4–34.9)

Idaho Falls, Idaho

665

19.4

2.1

(15.2–23.5)

Indianapolis-Carmel, Indiana

2,251

23.5

1.4

(20.7–26.2)

Jackson, Mississippi

761

31.5

2.3

(26.9–36.0)

Jacksonville, Florida

2,584

27.9

1.9

(24.1–31.6)

Kahului-Wailuku, Hawaii

1,466

16.4

1.5

(13.4–19.3)

Kalispell, Montana

701

20.4

2.2

(16.0–24.7)

Kansas City, Missouri-Kansas

3,379

23.0

1.1

(20.8–25.1)

Kapaa, Hawaii

645

16.5

2.1

(12.3–20.6)

Kennewick-Richland-Pasco, Washington

644

24.2

2.5

(19.3–29.1)

Key West-Marathon, Florida

506

16.9

2.2

(12.5–21.2)

Kingsport-Bristol, Tennessee-Virginia

655

37.6

3.4

(30.9–44.2)

Knoxville, Tennessee

530

29.1

3.3

(22.6–35.5)

Lake City, Florida

563

28.0

2.7

(22.7–33.2)

Lakeland-Winter Haven, Florida

521

26.0

2.5

(21.1–30.9)

Laredo, Texas

922

34.2

2.1

(30.0–38.3)

Las Cruces, New Mexico

504

24.5

2.8

(19.0–29.9)

Las Vegas-Paradise, Nevada

1,269

23.7

1.6

(20.5–26.8)

Lebanon, New Hampshire-Vermont

1,557

19.6

1.4

(16.8–22.3)

Lewiston, Idaho-Washington

600

22.3

2.4

(17.5–27.0)

Lewiston-Auburn, Maine

501

24.3

2.4

(19.5–29.0)

Lincoln, Nebraska

1,130

18.2

1.8

(14.6–21.7)

Little Rock-North Little Rock, Arkansas

822

23.8

2.2

(19.4–28.1)

Los Angeles-Long Beach-Glendale, California

2,618

20.8

1.0

(18.8–22.7)

Louisville, Kentucky-Indiana

909

25.2

1.8

(21.6–28.7)

Lubbock, Texas

780

30.7

2.7

(25.4–35.9)

Manchester-Nashua, New Hampshire

1,418

18.7

1.4

(15.9–21.4)

McAllen-Edinburg-Mission, Texas

597

36.0

2.7

(30.7–41.2)

Memphis, Tennessee-Mississippi-Arkansas

1,155

26.1

2.1

(21.9–30.2)

Miami-Fort Lauderdale-Miami Beach, Florida

1,028

24.1

1.8

(20.5–27.6)

Midland, Texas

524

33.3

3.0

(27.4–39.1)

Milwaukee-Waukesha-West Allis, Wisconsin

1,533

24.4

2.1

(20.2–28.5)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

4,863

17.1

0.9

(15.3–18.8)

Minot, North Dakota

556

26.5

2.3

(21.9–31.0)

Mobile, Alabama

681

30.3

2.7

(25.0–35.5)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

554

22.7

2.3

(18.1–27.2)

Naples-Marco Island, Florida

520

13.6

2.0

(9.6–17.5)

Nashville-Davidson-Murfreesboro, Tennessee

829

26.7

2.4

(21.9–31.4)

Nassau-Suffolk, New York

1,072

22.7

1.7

(19.3–26.0)

Newark-Union, New Jersey-Pennsylvania

3,324

26.1

1.3

(23.5–28.6)

New Haven-Milford, Connecticut

1,676

22.1

1.5

(19.1–25.0)

New Orleans-Metairie-Kenner, Louisiana

1,537

26.9

1.5

(23.9–29.8)

New York-White Plains-Wayne, New York-New Jersey

6,196

24.6

0.8

(23.0–26.1)

Norfolk, Nebraska

676

28.3

2.5

(23.4–33.2)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

578

1,132

28.8

21.6

2.9

1.7

(23.1–34.4)

(18.2–24.9)

Ocala, Florida

589

28.8

2.7

(23.5–34.0)

Ocean City, New Jersey

520

24.9

2.4

(20.1–29.6)


TABLE 44. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95%CI)

Ogden-Clearfield, Utah

1,698

16.5

1.1

(14.3–18.6)

Oklahoma City, Oklahoma

2,475

28.5

1.2

(26.1–30.8)

Olympia, Washington

775

15.2

1.5

(12.2–18.1)

Omaha-Council Bluffs, Nebraska-Iowa

2,357

23.7

1.3

(21.1–26.2)

Orlando-Kissimmee, Florida

2,670

25.3

1.4

(22.5–28.0)

Palm Bay-Melbourne-Titusville, Florida

527

26.4

2.6

(21.3–31.4)

Panama City-Lynn Haven, Florida

546

23.9

3.2

(17.6–30.1)

Peabody, Massachusetts

2,132

19.6

1.5

(16.6–22.5)

Pensacola-Ferry Pass-Brent, Florida

1,013

25.5

2.1

(21.3–29.6)

Philadelphia, Pennsylvania

2,367

24.2

1.3

(21.6–26.7)

Phoenix-Mesa-Scottsdale, Arizona

1,685

18.5

1.4

(15.7–21.2)

Pittsburgh, Pennsylvania

2,418

23.6

1.1

(21.4–25.7)

Portland-South Portland-Biddeford, Maine

2,627

17.9

1.0

(15.9–19.8)

Portland-Vancouver-Beaverton, Oregon-Washington

3,397

15.8

1.0

(13.8–17.7)

Port St. Lucie-Fort Pierce, Florida

1,026

22.1

1.8

(18.5–25.6)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

9,526

24.3

0.7

(22.9–25.6)

Provo-Orem, Utah

1,176

16.2

1.6

(13.0–19.3)

Raleigh-Cary, North Carolina

1,028

20.4

1.6

(17.2–23.5)

Rapid City, South Dakota

848

24.4

1.8

(20.8–27.9)

Reno-Sparks, Nevada

1,326

19.1

1.6

(15.9–22.2)

Richmond, Virginia

802

26.2

2.6

(21.1–31.2)

Riverside-San Bernardino-Ontario, California

1,878

23.6

1.3

(21.0–26.1)

Rochester, New York

569

19.0

2.1

(14.8–23.1)

Rockingham County-Strafford County, New Hampshire

1,606

19.5

1.3

(16.9–22.0)

Rutland, Vermont

659

22.6

2.1

(18.4–26.7)

Sacramento-Arden-Arcade-Roseville, California

1,294

15.3

1.3

(12.7–17.8)

St. Louis, Missouri-Illinois

1,752

25.5

1.8

(21.9–29.0)

Salt Lake City, Utah

4,312

18.3

0.8

(16.7–19.8)

San Antonio, Texas

1,129

26.5

1.9

(22.7–30.2)

San Diego-Carlsbad-San Marcos, California

1,695

19.0

1.3

(16.4–21.5)

San Francisco-Oakland-Fremont, California

2,358

17.4

1.0

(15.4–19.3)

San Jose-Sunnyvale-Santa Clara, California

913

17.0

1.6

(13.8–20.1)

Santa Ana-Anaheim-Irvine, California

1,446

21.1

1.6

(17.9–24.2)

Santa Fe, New Mexico

610

17.9

2.3

(13.3–22.4)

Scottsbluff, Nebraska

761

27.5

2.3

(22.9–32.0)

Scranton-Wilkes-Barre, Pennsylvania

555

32.8

2.6

(27.7–37.8)

Seaford, Delaware

1,238

25.8

1.8

(22.2–29.3)

Seattle-Bellevue-Everett, Washington

4,694

16.6

0.8

(15.0–18.1)

Sebring, Florida

520

28.9

2.9

(23.2–34.5)

Shreveport-Bossier City, Louisiana

683

34.1

2.8

(28.6–39.5)

Sioux City, Iowa-Nebraska-South Dakota

1,219

28.2

2.8

(22.7–33.6)

Sioux Falls, South Dakota

839

21.4

1.8

(17.8–24.9)

Spokane, Washington

1,217

18.3

1.5

(15.3–21.2)

Springfield, Massachusetts

2,049

20.5

1.5

(17.5–23.4)

Tacoma, Washington*

1,718

19.6

1.3

(17.0–22.1)

Tallahassee, Florida

2,043

22.1

2.0

(18.1–26.0)

Tampa-St. Petersburg-Clearwater, Florida

2,032

22.1

1.5

(19.1–25.0)

Toledo, Ohio

863

24.7

2.0

(20.7–28.6)

Topeka, Kansas

836

22.3

1.8

(18.7–25.8)

Trenton-Ewing, New Jersey

504

24.8

2.6

(19.7–29.8)

Tucson, Arizona

697

20.3

2.2

(15.9–24.6)

Tulsa, Oklahoma

2,144

29.2

1.3

(26.6–31.7)

Tuscaloosa, Alabama

516

31.0

3.1

(24.9–37.0)

Twin Falls, Idaho

540

25.4

2.9

(19.7–31.0)

Tyler, Texas

671

26.0

2.6

(20.9–31.0)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

1,104

22.8

2.1

(18.6–26.9)

Warren-Troy-Farmington Hills, Michigan

1,801

19.4

1.3

(16.8–21.9)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia

6,445

19.3

1.2

(16.9–21.6)

Wauchula, Florida

529

27.2

3.1

(21.1–33.2)

West Palm Beach-Boca Raton-Boynton Beach, Florida

551

22.6

2.6

(17.5–27.6)

Wichita, Kansas

1,853

22.6

1.3

(20.0–25.1)

Wichita Falls, Texas

829

28.6

2.3

(24.0–33.1)

Wilmington, Delaware-Maryland-New Jersey

2,211

23.5

1.1

(21.3–25.6)


TABLE 44. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95%CI)

Worcester, Massachusetts

2,098

19.0

1.3

(16.4–21.5)

Yakima, Washington

741

25.1

2.4

(20.3–29.8)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

1,062

26.4

2.4

(21.6–31.1)

Median

23.7

Range

13.1-37.6

Abbreviations: SE = standard error; CI = confidence interval.

* Any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise.

Metropolitan division.

§ Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 45. Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

601

30.5

2.5

(25.6–35.4)

Mobile County, Alabama

681

30.3

2.7

(25.0–35.5)

Tuscaloosa County, Alabama

433

29.1

3.1

(23.0–35.1)

Maricopa County, Arizona

1,299

18.1

1.5

(15.1–21.0)

Pima County, Arizona

697

20.3

2.2

(15.9–24.6)

Pinal County, Arizona

386

24.2

4.3

(15.7–32.6)

Benton County, Arkansas

361

25.4

3.3

(18.9–31.8)

Pulaski County, Arkansas

559

19.9

2.3

(15.3–24.4)

Washington County, Arkansas

298

21.8

3.9

(14.1–29.4)

Alameda County, California

757

18.0

1.8

(14.4–21.5)

Contra Costa County, California

632

18.5

2.0

(14.5–22.4)

Los Angeles County, California

2,618

20.8

1.0

(18.8–22.7)

Orange County, California

1,446

21.1

1.6

(17.9–24.2)

Placer County, California

255

10.5

2.1

(6.3–14.6)

Riverside County, California

931

22.9

1.8

(19.3–26.4)

Sacramento County, California

752

18.5

1.8

(14.9–22.0)

San Bernardino County, California

947

24.2

1.8

(20.6–27.7)

San Diego County, California

1,695

19.0

1.3

(16.4–21.5)

San Francisco County, California

386

18.5

2.5

(13.6–23.4)

San Mateo County, California

384

14.5

2.1

(10.3–18.6)

Santa Clara County, California

875

16.9

1.7

(13.5–20.2)

Adams County, Colorado

807

22.7

2.3

(18.1–27.2)

Arapahoe County, Colorado

873

17.2

1.6

(14.0–20.3)

Denver County, Colorado

878

18.6

1.8

(15.0–22.1)

Douglas County, Colorado

578

8.5

1.4

(5.7–11.2)

El Paso County, Colorado

1,033

18.9

1.6

(15.7–22.0)

Jefferson County, Colorado

1,170

13.7

1.2

(11.3–16.0)

Larimer County, Colorado

562

13.1

2.2

(8.7–17.4)

Fairfield County, Connecticut

2,182

18.8

1.4

(16.0–21.5)

Hartford County, Connecticut

1,499

21.1

1.4

(18.3–23.8)

Middlesex County, Connecticut

263

13.3

2.2

(8.9–17.6)

New Haven County, Connecticut

1,676

22.1

1.5

(19.1–25.0)

Tolland County, Connecticut

255

17.5

3.0

(11.6–23.3)

Kent County, Delaware

1,255

30.4

1.8

(26.8–33.9)

New Castle County, Delaware

1,745

21.2

1.2

(18.8–23.5)

Sussex County, Delaware

1,238

25.8

1.8

(22.2–29.3)

District of Columbia, District of Columbia

3,973

19.2

1.0

(17.2–21.1)

Alachua County, Florida

536

17.4

2.4

(12.6–22.1)

Baker County, Florida

508

NA

NA

NA

Bay County, Florida

546

23.9

3.2

(17.6–30.1)

Brevard County, Florida

527

26.4

2.6

(21.3–31.4)

Broward County, Florida

524

22.9

2.4

(18.1–27.6)

Citrus County, Florida

535

22.7

2.3

(18.1–27.2)

Clay County, Florida

485

24.1

2.6

(19.0–29.1)

Collier County, Florida

520

13.6

2.0

(9.6–17.5)

Columbia County, Florida

563

28.0

2.7

(22.7–33.2)

DeSoto County, Florida

502

35.1

4.2

(26.8–43.3)

Duval County, Florida

549

29.3

2.6

(24.2–34.3)

Escambia County, Florida

519

27.7

3.1

(21.6–33.7)

Gadsden County, Florida

510

28.6

2.8

(23.1–34.0)

Gilchrist County, Florida

414

NA

NA

NA

Hardee County, Florida

529

27.2

3.1

(21.1–33.2)

Hernando County, Florida

489

24.0

2.5

(19.1–28.9)

Highlands County, Florida

520

28.9

2.9

(23.2–34.5)

Hillsborough County, Florida

505

22.3

2.6

(17.2–27.3)

Jefferson County, Florida

501

31.9

3.8

(24.4–39.3)

Lake County, Florida

606

21.8

2.1

(17.6–25.9)

Lee County, Florida

517

27.9

2.9

(22.2–33.5)

Leon County, Florida

495

19.0

2.8

(13.5–24.4)

Manatee County, Florida

524

24.5

2.6

(19.4–29.5)

Marion County, Florida

589

28.8

2.7

(23.5–34.0)

Martin County, Florida

521

19.4

2.2

(15.0–23.7)

Miami-Dade County, Florida

504

24.5

2.5

(19.6–29.4)


TABLE 45. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

506

16.9

2.2

(12.5–21.2)

Nassau County, Florida

520

20.5

2.9

(14.8–26.1)

Orange County, Florida

1,008

26.3

2.1

(22.1–30.4)

Osceola County, Florida

565

25.6

2.6

(20.5–30.6)

Palm Beach County, Florida

551

22.6

2.6

(17.5–27.6)

Pasco County, Florida

540

27.7

2.7

(22.4–32.9)

Pinellas County, Florida

498

15.8

2.0

(11.8–19.7)

Polk County, Florida

521

26.0

2.5

(21.1–30.9)

St. Johns County, Florida

522

17.6

2.3

(13.0–22.1)

St. Lucie County, Florida

505

24.3

2.4

(19.5–29.0)

Santa Rosa County, Florida

494

23.3

2.5

(18.4–28.2)

Sarasota County, Florida

608

20.6

2.4

(15.8–25.3)

Seminole County, Florida

491

23.8

2.8

(18.3–29.2)

Volusia County, Florida

862

23.7

2.4

(18.9–28.4)

Wakulla County, Florida

537

33.8

3.5

(26.9–40.6)

Cobb County, Georgia

254

23.0

3.4

(16.3–29.6)

DeKalb County, Georgia

342

18.9

2.9

(13.2–24.5)

Fulton County, Georgia

330

19.5

3.2

(13.2–25.7)

Gwinnett County, Georgia

251

22.5

3.5

(15.6–29.3)

Hawaii County, Hawaii

1,480

19.2

1.4

(16.4–21.9)

Honolulu County, Hawaii

2,960

19.7

0.9

(17.9–21.4)

Kauai County, Hawaii

645

16.5

2.1

(12.3–20.6)

Maui County, Hawaii

1,466

16.4

1.5

(13.4–19.3)

Ada County, Idaho

865

13.1

1.4

(10.3–15.8)

Bonneville County, Idaho

522

18.9

2.4

(14.1–23.6)

Canyon County, Idaho

619

23.4

2.1

(19.2–27.5)

Kootenai County, Idaho

570

18.8

2.3

(14.2–23.3)

Nez Perce County, Idaho

381

22.7

2.8

(17.2–28.1)

Twin Falls County, Idaho

434

27.3

3.1

(21.2–33.3)

Cook County, Illinois

2,886

24.5

1.2

(22.1–26.8)

DuPage County, Illinois

256

21.0

3.0

(15.1–26.8)

Allen County, Indiana

585

24.9

2.4

(20.1–29.6)

Lake County, Indiana

1,002

29.1

2.4

(24.3–33.8)

Marion County, Indiana

1,461

23.8

1.8

(20.2–27.3)

Linn County, Iowa

495

26.0

2.6

(20.9–31.0)

Polk County, Iowa

767

22.9

1.9

(19.1–26.6)

Johnson County, Kansas

1,416

17.5

1.2

(15.1–19.8)

Sedgwick County, Kansas

1,438

23.3

1.4

(20.5–26.0)

Shawnee County, Kansas

624

20.7

1.9

(16.9–24.4)

Wyandotte County, Kansas

605

33.6

2.7

(28.3–38.8)

Jefferson County, Kentucky

410

26.0

2.6

(20.9–31.0)

Caddo Parish, Louisiana

447

39.0

3.3

(32.5–45.4)

East Baton Rouge Parish, Louisiana

722

25.1

2.3

(20.5–29.6)

Jefferson Parish, Louisiana

595

31.1

2.6

(26.0–36.1)

Orleans Parish, Louisiana

377

28.6

3.2

(22.3–34.8)

St. Tammany Parish, Louisiana

372

21.8

2.8

(16.3–27.2)

Androscoggin County, Maine

501

24.3

2.4

(19.5–29.0)

Cumberland County, Maine

1,389

14.5

1.2

(12.1–16.8)

Kennebec County, Maine

653

22.3

2.1

(18.1–26.4)

Penobscot County, Maine

691

24.1

2.1

(19.9–28.2)

Sagadahoc County, Maine

298

19.6

2.7

(14.3–24.8)

York County, Maine

940

22.0

1.7

(18.6–25.3)

Anne Arundel County, Maryland

602

18.6

2.0

(14.6–22.5)

Baltimore County, Maryland

1,054

26.0

1.6

(22.8–29.1)

Cecil County, Maryland

270

29.6

3.4

(22.9–36.2)

Charles County, Maryland

348

20.7

2.5

(15.8–25.6)

Frederick County, Maryland

577

20.9

2.2

(16.5–25.2)

Harford County, Maryland

279

23.7

2.8

(18.2–29.1)

Howard County, Maryland

342

19.0

3.2

(12.7–25.2)

Montgomery County, Maryland

1,065

16.3

1.5

(13.3–19.2)

Prince George´s County, Maryland

795

23.9

1.9

(20.1–27.6)

Queen Anne´s County, Maryland

294

23.0

2.9

(17.3–28.6)

Washington County, Maryland

407

25.5

2.7

(20.2–30.7)


TABLE 45. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

534

31.6

2.9

(25.9–37.2)

Bristol County, Massachusetts

2,930

25.2

1.7

(21.8–28.5)

Essex County, Massachusetts

2,132

19.2

1.5

(16.2–22.1)

Hampden County, Massachusetts

1,590

25.3

1.8

(21.7–28.8)

Hampshire County, Massachusetts

275

13.5

2.7

(8.2–18.7)

Middlesex County, Massachusetts

3,023

17.0

1.1

(14.8–19.1)

Norfolk County, Massachusetts

860

19.2

1.8

(15.6–22.7)

Plymouth County, Massachusetts

687

19.9

2.4

(15.1–24.6)

Suffolk County, Massachusetts

1,761

23.0

1.8

(19.4–26.5)

Worcester County, Massachusetts

2,098

19.0

1.3

(16.4–21.5)

Kent County, Michigan

446

18.0

2.1

(13.8–22.1)

Macomb County, Michigan

516

21.4

2.2

(17.0–25.7)

Oakland County, Michigan

936

18.9

1.9

(15.1–22.6)

Wayne County, Michigan

1,913

28.3

1.7

(24.9–31.6)

Anoka County, Minnesota

396

22.9

2.8

(17.4–28.3)

Dakota County, Minnesota

570

14.9

2.1

(10.7–19.0)

Hennepin County, Minnesota

2,053

15.7

1.5

(12.7–18.6)

Ramsey County, Minnesota

919

15.7

2.5

(10.8–20.6)

Washington County, Minnesota

258

15.2

2.8

(9.7–20.6)

DeSoto County, Mississippi

369

23.2

2.8

(17.7–28.6)

Hinds County, Mississippi

340

33.7

3.5

(26.8–40.5)

Jackson County, Missouri

527

25.5

2.5

(20.6–30.4)

St. Louis County, Missouri

605

22.0

2.9

(16.3–27.6)

St. Louis city, Missouri

648

31.9

3.9

(24.2–39.5)

Flathead County, Montana

701

20.4

2.2

(16.0–24.7)

Lewis and Clark County, Montana

533

18.4

2.0

(14.4–22.3)

Yellowstone County, Montana

485

23.5

2.6

(18.4–28.5)

Adams County, Nebraska

480

21.9

3.0

(16.0–27.7)

Dakota County, Nebraska

740

31.4

2.2

(27.0–35.7)

Douglas County, Nebraska

951

26.1

2.0

(22.1–30.0)

Hall County, Nebraska

586

24.1

2.4

(19.3–28.8)

Lancaster County, Nebraska

847

17.6

1.9

(13.8–21.3)

Lincoln County, Nebraska

546

28.5

3.0

(22.6–34.3)

Madison County, Nebraska

468

25.7

3.1

(19.6–31.7)

Sarpy County, Nebraska

578

19.1

2.2

(14.7–23.4)

Scotts Bluff County, Nebraska

738

27.9

2.4

(23.1–32.6)

Seward County, Nebraska

283

26.2

3.4

(19.5–32.8)

Clark County, Nevada

1,269

23.7

1.6

(20.5–26.8)

Washoe County, Nevada

1,306

19.1

1.6

(15.9–22.2)

Grafton County, New Hampshire

517

18.5

2.2

(14.1–22.8)

Hillsborough County, New Hampshire

1,418

18.7

1.4

(15.9–21.4)

Merrimack County, New Hampshire

641

16.9

1.9

(13.1–20.6)

Rockingham County, New Hampshire

1,021

18.6

1.6

(15.4–21.7)

Strafford County, New Hampshire

585

21.1

2.2

(16.7–25.4)

Atlantic County, New Jersey

921

27.8

2.0

(23.8–31.7)

Bergen County, New Jersey

628

20.2

2.1

(16.0–24.3)

Burlington County, New Jersey

567

27.1

2.5

(22.2–32.0)

Camden County, New Jersey

604

26.9

2.6

(21.8–31.9)

Cape May County, New Jersey

520

24.9

2.4

(20.1–29.6)

Essex County, New Jersey

1,026

29.1

2.0

(25.1–33.0)

Gloucester County, New Jersey

524

25.3

2.5

(20.4–30.2)

Hudson County, New Jersey

1,101

28.7

1.7

(25.3–32.0)

Hunterdon County, New Jersey

515

17.8

2.0

(13.8–21.7)

Mercer County, New Jersey

504

24.8

2.6

(19.7–29.8)

Middlesex County, New Jersey

633

29.1

2.3

(24.5–33.6)

Monmouth County, New Jersey

564

20.3

2.2

(15.9–24.6)

Morris County, New Jersey

701

20.6

2.0

(16.6–24.5)

Ocean County, New Jersey

534

28.1

2.5

(23.2–33.0)

Passaic County, New Jersey

503

32.0

2.8

(26.5–37.4)

Somerset County, New Jersey

537

22.2

2.2

(17.8–26.5)

Sussex County, New Jersey

502

22.3

2.4

(17.5–27.0)

Union County, New Jersey

521

30.1

2.7

(24.8–35.3)

Warren County, New Jersey

481

24.2

2.5

(19.3–29.1)


TABLE 45. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

1,263

16.4

1.5

(13.4–19.3)

Dona Ana County, New Mexico

504

24.5

2.8

(19.0–29.9)

Sandoval County, New Mexico

521

19.9

3.0

(14.0–25.7)

San Juan County, New Mexico

686

22.9

2.3

(18.3–27.4)

Santa Fe County, New Mexico

610

17.9

2.3

(13.3–22.4)

Valencia County, New Mexico

350

27.7

3.5

(20.8–34.5)

Bronx County, New York

434

31.0

2.8

(25.5–36.4)

Erie County, New York

479

24.6

2.7

(19.3–29.8)

Kings County, New York

909

27.2

1.9

(23.4–30.9)

Monroe County, New York

383

17.8

2.4

(13.0–22.5)

Nassau County, New York

478

21.3

2.3

(16.7–25.8)

New York County, New York

1,038

15.8

1.6

(12.6–18.9)

Queens County, New York

797

25.8

2.0

(21.8–29.7)

Suffolk County, New York

594

23.4

2.4

(18.6–28.1)

Westchester County, New York

384

19.4

2.5

(14.5–24.3)

Buncombe County, North Carolina

263

22.6

3.2

(16.3–28.8)

Cabarrus County, North Carolina

308

23.2

3.1

(17.1–29.2)

Catawba County, North Carolina

294

31.7

3.7

(24.4–38.9)

Durham County, North Carolina

621

19.8

2.2

(15.4–24.1)

Gaston County, North Carolina

267

30.6

4.0

(22.7–38.4)

Guilford County, North Carolina

695

20.5

2.0

(16.5–24.4)

Johnston County, North Carolina

276

33.8

3.6

(26.7–40.8)

Mecklenburg County, North Carolina

609

19.2

2.0

(15.2–23.1)

Orange County, North Carolina

299

15.8

2.3

(11.2–20.3)

Randolph County, North Carolina

398

28.9

3.1

(22.8–34.9)

Union County, North Carolina

349

18.0

2.5

(13.1–22.9)

Wake County, North Carolina

713

16.8

1.7

(13.4–20.1)

Burleigh County, North Dakota

558

17.5

2.1

(13.3–21.6)

Cass County, North Dakota

780

22.8

2.6

(17.7–27.8)

Ward County, North Dakota

465

26.3

2.5

(21.4–31.2)

Cuyahoga County, Ohio

721

23.0

2.0

(19.0–26.9)

Franklin County, Ohio

680

27.6

2.5

(22.7–32.5)

Hamilton County, Ohio

728

25.2

2.3

(20.6–29.7)

Lucas County, Ohio

730

26.3

2.2

(21.9–30.6)

Mahoning County, Ohio

730

26.3

2.2

(21.9–30.6)

Montgomery County, Ohio

703

24.2

2.3

(19.6–28.7)

Stark County, Ohio

716

27.3

2.2

(22.9–31.6)

Summit County, Ohio

703

21.0

2.3

(16.4–25.5)

Cleveland County, Oklahoma

434

21.1

2.5

(16.2–26.0)

Oklahoma County, Oklahoma

1,439

30.8

1.6

(27.6–33.9)

Tulsa County, Oklahoma

1,523

27.7

1.5

(24.7–30.6)

Clackamas County, Oregon

449

14.4

1.9

(10.6–18.1)

Lane County, Oregon

510

18.2

2.3

(13.6–22.7)

Multnomah County, Oregon

816

14.0

1.7

(10.6–17.3)

Washington County, Oregon

586

15.8

2.1

(11.6–19.9)

Allegheny County, Pennsylvania

1,379

23.7

1.4

(20.9–26.4)

Lehigh County, Pennsylvania

283

21.3

2.7

(16.0–26.5)

Luzerne County, Pennsylvania

313

31.0

3.2

(24.7–37.2)

Montgomery County, Pennsylvania

347

18.5

2.6

(13.4–23.5)

Northampton County, Pennsylvania

260

24.7

3.4

(18.0–31.3)

Philadelphia County, Pennsylvania

1,402

30.9

1.8

(27.3–34.4)

Westmoreland County, Pennsylvania

339

27.4

2.9

(21.7–33.0)

Bristol County, Rhode Island

278

20.7

3.2

(14.4–26.9)

Kent County, Rhode Island

940

23.7

1.8

(20.1–27.2)

Newport County, Rhode Island

488

17.4

2.1

(13.2–21.5)

Providence County, Rhode Island

4,144

26.7

1.0

(24.7–28.6)

Washington County, Rhode Island

746

20.0

2.1

(15.8–24.1)

Aiken County, South Carolina

474

26.4

2.6

(21.3–31.4)

Beaufort County, South Carolina

679

17.8

2.0

(13.8–21.7)

Berkeley County, South Carolina

355

NA

NA

NA

Charleston County, South Carolina

669

23.2

2.7

(17.9–28.4)

Greenville County, South Carolina

494

24.5

3.2

(18.2–30.7)

Horry County, South Carolina

554

22.7

2.3

(18.1–27.2)


TABLE 45. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

664

28.4

3.2

(22.1–34.6)

Minnehaha County, South Dakota

605

21.1

2.1

(16.9–25.2)

Pennington County, South Dakota

668

23.3

2.1

(19.1–27.4)

Davidson County, Tennessee

417

29.0

3.2

(22.7–35.2)

Hamilton County, Tennessee

387

29.8

3.4

(23.1–36.4)

Knox County, Tennessee

370

24.7

3.3

(18.2–31.1)

Shelby County, Tennessee

393

24.8

3.0

(18.9–30.6)

Sullivan County, Tennessee

461

33.9

3.3

(27.4–40.3)

Bexar County, Texas

971

27.8

2.0

(23.8–31.7)

Dallas County, Texas

392

30.1

3.5

(23.2–36.9)

El Paso County, Texas

871

28.5

2.2

(24.1–32.8)

Fort Bend County, Texas

928

21.9

2.0

(17.9–25.8)

Harris County, Texas

1,459

24.2

1.5

(21.2–27.1)

Hidalgo County, Texas

597

36.0

2.7

(30.7–41.2)

Lubbock County, Texas

756

30.0

2.7

(24.7–35.2)

Midland County, Texas

524

33.3

3.0

(27.4–39.1)

Potter County, Texas

337

31.8

3.4

(25.1–38.4)

Randall County, Texas

459

17.7

2.5

(12.8–22.6)

Smith County, Texas

671

26.0

2.6

(20.9–31.0)

Tarrant County, Texas

602

22.8

2.6

(17.7–27.8)

Travis County, Texas

761

16.5

2.9

(10.8–22.1)

Val Verde County, Texas

558

NA

NA

NA

Webb County, Texas

922

34.2

2.1

(30.0–38.3)

Wichita County, Texas

678

29.3

2.6

(24.2–34.3)

Davis County, Utah

877

14.2

1.4

(11.4–16.9)

Salt Lake County, Utah

3,289

18.3

0.9

(16.5–20.0)

Summit County, Utah

453

14.8

2.7

(9.5–20.0)

Tooele County, Utah

570

20.1

2.2

(15.7–24.4)

Utah County, Utah

1,113

16.1

1.6

(12.9–19.2)

Weber County, Utah

776

19.8

1.9

(16.0–23.5)

Chittenden County, Vermont

1,429

11.7

1.0

(9.7–13.6)

Franklin County, Vermont

486

19.4

1.9

(15.6–23.1)

Orange County, Vermont

358

20.2

2.4

(15.4–24.9)

Rutland County, Vermont

659

22.6

2.1

(18.4–26.7)

Washington County, Vermont

670

16.1

1.9

(12.3–19.8)

Windsor County, Vermont

682

20.8

2.1

(16.6–24.9)

Benton County, Washington

391

19.7

2.5

(14.8–24.6)

Clark County, Washington

1,092

19.5

1.9

(15.7–23.2)

Franklin County, Washington

253

33.6

4.8

(24.1–43.0)

King County, Washington

3,042

15.3

0.9

(13.5–17.0)

Kitsap County, Washington

922

15.3

1.5

(12.3–18.2)

Pierce County, Washington

1,718

19.1

1.3

(16.5–21.6)

Snohomish County, Washington

1,652

18.1

1.3

(15.5–20.6)

Spokane County, Washington

1,217

18.3

1.5

(15.3–21.2)

Thurston County, Washington

775

15.2

1.5

(12.2–18.1)

Yakima County, Washington

741

25.1

2.4

(20.3–29.8)

Kanawha County, West Virginia

490

30.1

2.9

(24.4–35.7)

Milwaukee County, Wisconsin

1,219

26.3

2.5

(21.4–31.2)

Laramie County, Wyoming

913

23.1

1.7

(19.7–26.4)

Natrona County, Wyoming

767

23.2

2.0

(19.2–27.1)

Median

22.8

Range

8.5-39.0

Abbreviations: SE = standard error; CI = confidence interval.

* Any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise.

Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 46. Estimated prevalence of adults aged ≥18 years who are overweight,* by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

7,269

37.0

0.8

(35.3–38.6)

Alaska

1,883

40.7

1.8

(37.1–44.3)

Arizona

5,513

39.7

1.2

(37.2–42.1)

Arkansas

3,844

36.3

1.3

(33.8–38.7)

California

16,832

36.9

0.5

(35.9–37.9)

Colorado

11,134

36.2

0.7

(34.9–37.6)

Connecticut

6,430

37.5

0.9

(35.7–39.4)

Delaware

4,021

35.3

1.1

(33.1–37.4)

District of Columbia

3,826

33.8

1.0

(31.8–35.9)

Florida

33,683

37.8

0.6

(36.6–39.0)

Georgia

5,477

35.3

0.9

(33.5–37.2)

Hawaii

6,443

34.1

0.9

(32.3–35.8)

Idaho

6,654

36.0

0.9

(34.3–37.7)

Illinois

5,106

34.5

1.0

(32.6–36.4)

Indiana

9,725

36.2

0.7

(34.8–37.7)

Iowa

5,771

37.1

0.9

(35.4–38.9)

Kansas

8,183

34.4

0.7

(33.0–35.8)

Kentucky

7,666

35.7

1.0

(33.8–37.6)

Louisiana

6,716

34.7

0.8

(33.1–36.4)

Maine

7,826

36.3

0.7

(34.9–37.7)

Maryland

8,689

38.2

0.8

(36.6–39.8)

Massachusetts

15,088

36.5

0.6

(35.3–37.8)

Michigan

8,559

35.1

0.7

(33.6–36.5)

Minnesota

8,454

37.7

1.0

(35.8–39.7)

Mississippi

7,746

34.3

0.8

(32.6–35.9)

Missouri

5,230

34.4

1.1

(32.3–36.5)

Montana

7,108

37.8

1.0

(35.9–39.7)

Nebraska

15,854

37.4

0.8

(35.7–39.0)

Nevada

3,766

37.1

1.4

(34.4–39.9)

New Hampshire

5,815

37.6

0.9

(35.9–39.3)

New Jersey

11,572

36.8

0.7

(35.4–38.1)

New Mexico

6,746

35.1

0.9

(33.3–36.9)

New York

8,495

36.9

0.7

(35.6–38.3)

North Carolina

11,534

36.7

0.7

(35.3–38.2)

North Dakota

4,494

36.8

1.0

(34.8–38.9)

Ohio

9,310

36.0

0.8

(34.4–37.5)

Oklahoma

7,450

36.0

0.7

(34.5–37.4)

Oregon

4,824

33.3

1.0

(31.4–35.2)

Pennsylvania

10,707

36.6

0.7

(35.3–37.9)

Rhode Island

6,337

37.5

0.9

(35.7–39.3)

South Carolina

9,021

35.4

0.9

(33.6–37.3)

South Dakota

6,401

38.0

0.9

(36.2–39.9)

Tennessee

5,435

36.1

1.1

(33.9–38.3)

Texas

17,020

34.8

0.8

(33.3–36.3)

Utah

9,694

34.7

0.7

(33.3–36.1)

Vermont

6,550

34.6

0.8

(33.0–36.1)

Virginia

5,044

34.8

1.3

(32.3–37.4)

Washington

18,571

35.6

0.5

(34.6–36.7)

West Virginia

4,178

35.0

0.9

(33.2–36.9)

Wisconsin

4,495

36.7

1.1

(34.6–38.9)

Wyoming

5,582

38.1

0.9

(36.2–39.9)

Guam

755

32.6

2.1

(28.5–36.7)

Puerto Rico

3,388

38.1

1.1

(35.9–40.3)

Virgin Islands

1,748

36.2

1.5

(33.2–39.2)

Median

36.2

Range

32.6-40.7

Abbreviations: SE = standard error; CI = confidence interval.

* Body mass index ≥25.0 to <30.0 kg/m².


TABLE 47. Estimated prevalence of adults aged ≥ 18 years who are overweight,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

773

32.5

2.7

(27.2–37.7)

Albuquerque, New Mexico

2,127

34.9

1.5

(31.9–37.8)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

1,033

33.5

2.1

(29.3–37.6)

Amarillo, Texas

807

36.3

2.5

(31.4–41.2)

Arcadia, Florida

477

33.7

4.0

(25.8–41.5)

Asheville, North Carolina

519

35.2

2.9

(29.5–40.8)

Atlanta-Sandy Springs-Marietta, Georgia

2,236

33.9

1.6

(30.7–37.0)

Atlantic City, New Jersey

863

42.5

2.3

(37.9–47.0)

Augusta-Richmond County, Georgia-South Carolina

832

36.8

2.4

(32.0–41.5)

Augusta-Waterville, Maine

630

33.4

2.4

(28.6–38.1)

Austin-Round Rock, Texas

918

37.1

3.5

(30.2–43.9)

Baltimore-Towson, Maryland

3,183

38.4

1.2

(36.0–40.7)

Bangor, Maine

667

35.4

2.4

(30.6–40.1)

Barre, Vermont

647

36.9

2.5

(32.0–41.8)

Baton Rouge, Louisiana

1,153

32.2

1.8

(28.6–35.7)

Bethesda-Gaithersburg-Frederick, Maryland

1,535

37.3

1.7

(33.9–40.6)

Billings, Montana

523

37.4

3.0

(31.5–43.2)

Birmingham-Hoover, Alabama

1,135

37.0

2.1

(32.8–41.1)

Bismarck, North Dakota

740

36.1

2.4

(31.3–40.8)

Boise City-Nampa, Idaho

1,570

36.6

1.8

(33.0–40.1)

Boston-Quincy, Massachusetts

3,065

34.8

1.4

(32.0–37.5)

Bremerton-Silverdale, Washington

882

36.3

2.2

(31.9–40.6)

Bridgeport-Stamford-Norwalk, Connecticut

2,074

37.8

1.8

(34.2–41.3)

Buffalo-Cheektowaga-Tonawanda, New York

572

37.5

3.0

(31.6–43.3)

Burlington-South Burlington, Vermont

1,933

36.0

1.5

(33.0–38.9)

Cambridge-Newton-Framingham, Massachusetts

2,814

35.2

1.5

(32.2–38.1)

Camden, New Jersey

1,581

35.8

1.7

(32.4–39.1)

Canton-Massillon, Ohio

713

36.3

2.6

(31.2–41.3)

Cape Coral-Fort Myers, Florida

486

34.2

3.2

(27.9–40.4)

Casper, Wyoming

737

37.7

2.6

(32.6–42.7)

Cedar Rapids, Iowa

536

33.5

2.8

(28.0–38.9)

Charleston, West Virginia

718

37.3

2.3

(32.7–41.8)

Charleston-North Charleston, South Carolina

1,105

36.4

2.7

(31.1–41.6)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,621

35.0

1.8

(31.4–38.5)

Chattanooga, Tennessee-Georgia

506

38.6

3.8

(31.1–46.0)

Cheyenne, Wyoming

863

39.2

2.3

(34.6–43.7)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

4,889

34.2

1.1

(32.0–36.3)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,706

34.4

1.9

(30.6–38.1)

Cleveland-Elyria-Mentor, Ohio

1,024

40.9

2.2

(36.5–45.2)

Coeur d´Alene, Idaho

550

39.8

3.1

(33.7–45.8)

Colorado Springs, Colorado

1,114

37.8

1.9

(34.0–41.5)

Columbia, South Carolina

1,098

36.1

2.5

(31.2–41.0)

Columbus, Ohio

1,304

35.0

1.9

(31.2–38.7)

Concord, New Hampshire

616

40.9

2.8

(35.4–46.3)

Dallas-Plano-Irving, Texas

677

29.8

2.6

(24.7–34.8)

Dayton, Ohio

810

35.3

2.6

(30.2–40.3)

Del Rio, Texas

505

NA§

NA

NA

Deltona-Daytona Beach-Ormond Beach, Florida

826

38.0

2.7

(32.7–43.2)

Denver-Aurora, Colorado

4,618

37.4

1.0

(35.4–39.3)

Des Moines-West Des Moines, Iowa

955

38.9

2.0

(34.9–42.8)

Detroit-Livonia-Dearborn, Michigan

1,840

34.0

1.8

(30.4–37.5)

Dover, Delaware

1,194

38.8

2.1

(34.6–42.9)

Durham, North Carolina

991

32.4

2.3

(27.8–36.9)

Edison, New Jersey

2,108

37.4

1.5

(34.4–40.3)

El Paso, Texas

813

41.1

2.6

(36.0–46.1)

Eugene-Springfield, Oregon

496

30.1

2.9

(24.4–35.7)

Evansville, Indiana-Kentucky

512

33.7

3.1

(27.6–39.7)

Fargo, North Dakota-Minnesota

787

36.8

4.0

(28.9–44.6)

Farmington, New Mexico

661

31.4

2.5

(26.5–36.3)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

658

37.1

3.2

(30.8–43.3)

Fort Collins-Loveland, Colorado

546

28.5

2.8

(23.0–33.9)

Fort Wayne, Indiana

686

36.0

2.4

(31.2–40.7)

Fort Worth-Arlington, Texas

696

34.4

2.8

(28.9–39.8)


TABLE 47. (Continued) Estimated prevalence of adults aged ≥ 18 years who are overweight,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

920

36.0

3.3

(29.5–42.4)

Grand Island, Nebraska

836

39.9

2.4

(35.1–44.6)

Grand Rapids-Wyoming, Michigan

597

38.7

2.9

(33.0–44.3)

Greensboro-High Point, North Carolina

1,107

38.6

2.5

(33.7–43.5)

Greenville, South Carolina

746

33.9

2.9

(28.2–39.5)

Hagerstown-Martinsburg, Maryland-West Virginia

607

33.6

2.6

(28.5–38.6)

Hartford-West Hartford-East Hartford, Connecticut

1,914

37.9

1.6

(34.7–41.0)

Hastings, Nebraska

568

35.8

2.9

(30.1–41.4)

Helena, Montana

623

39.6

2.8

(34.1–45.0)

Hickory-Morganton-Lenoir, North Carolina

583

41.7

2.7

(36.4–46.9)

Hilo, Hawaii

1,462

33.9

1.7

(30.5–37.2)

Hilton Head Island-Beaufort, South Carolina

766

37.5

2.6

(32.4–42.5)

Homosassa Springs, Florida

509

38.0

3.0

(32.1–43.8)

Honolulu, Hawaii

2,899

34.2

1.2

(31.8–36.5)

Houston-Sugar Land-Baytown, Texas

2,607

34.0

1.5

(31.0–36.9)

Huntington-Ashland, West Virginia-Kentucky-Ohio

626

35.8

2.8

(30.3–41.2)

Idaho Falls, Idaho

637

35.8

2.4

(31.0–40.5)

Indianapolis-Carmel, Indiana

2,145

35.7

1.5

(32.7–38.6)

Jackson, Mississippi

724

33.5

2.3

(28.9–38.0)

Jacksonville, Florida

2,499

35.4

1.9

(31.6–39.1)

Kahului-Wailuku, Hawaii

1,444

35.9

2.0

(31.9–39.8)

Kalispell, Montana

682

41.2

2.5

(36.3–46.1)

Kansas City, Missouri-Kansas

3,245

36.0

1.4

(33.2–38.7)

Kapaa, Hawaii

638

31.8

2.5

(26.9–36.7)

Kennewick-Richland-Pasco, Washington

600

35.1

2.7

(29.8–40.3)

Key West-Marathon, Florida

497

37.1

3.2

(30.8–43.3)

Kingsport-Bristol, Tennessee-Virginia

608

33.4

3.4

(26.7–40.0)

Knoxville, Tennessee

505

34.1

3.2

(27.8–40.3)

Lake City, Florida

538

39.1

3.2

(32.8–45.3)

Lakeland-Winter Haven, Florida

496

33.0

2.8

(27.5–38.4)

Laredo, Texas

837

37.6

2.3

(33.0–42.1)

Las Cruces, New Mexico

471

37.2

3.4

(30.5–43.8)

Las Vegas-Paradise, Nevada

1,234

37.3

1.9

(33.5–41.0)

Lebanon, New Hampshire-Vermont

1,497

34.6

1.7

(31.2–37.9)

Lewiston, Idaho-Washington

573

38.3

2.8

(32.8–43.7)

Lewiston-Auburn, Maine

489

34.9

2.8

(29.4–40.3)

Lincoln, Nebraska

1,110

32.5

2.3

(27.9–37.0)

Little Rock-North Little Rock, Arkansas

776

36.0

2.8

(30.5–41.4)

Los Angeles-Long Beach-Glendale, California

2,461

38.2

1.3

(35.6–40.7)

Louisville, Kentucky-Indiana

867

35.1

2.3

(30.5–39.6)

Lubbock, Texas

739

32.5

2.6

(27.4–37.5)

Manchester-Nashua, New Hampshire

1,371

35.8

1.8

(32.2–39.3)

McAllen-Edinburg-Mission, Texas

551

35.8

2.8

(30.3–41.2)

Memphis, Tennessee-Mississippi-Arkansas

1,106

35.3

2.8

(29.8–40.7)

Miami-Fort Lauderdale-Miami Beach, Florida

999

37.5

2.2

(33.1–41.8)

Midland, Texas

497

37.6

3.1

(31.5–43.6)

Milwaukee-Waukesha-West Allis, Wisconsin

1,444

35.0

2.2

(30.6–39.3)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

4,570

36.7

1.4

(33.9–39.4)

Minot, North Dakota

520

40.4

2.7

(35.1–45.6)

Mobile, Alabama

639

33.6

2.8

(28.1–39.0)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

533

41.2

3.1

(35.1–47.2)

Naples-Marco Island, Florida

502

36.4

3.3

(29.9–42.8)

Nashville-Davidson-Murfreesboro, Tennessee

778

37.4

2.7

(32.1–42.6)

Nassau-Suffolk, New York

1,023

36.8

1.9

(33.0–40.5)

Newark-Union, New Jersey-Pennsylvania

3,080

37.9

1.4

(35.1–40.6)

New Haven-Milford, Connecticut

1,599

34.9

2.0

(30.9–38.8)

New Orleans-Metairie-Kenner, Louisiana

1,466

37.2

1.8

(33.6–40.7)

New York-White Plains-Wayne, New York-New Jersey

5,845

37.6

0.9

(35.8–39.3)

Norfolk, Nebraska

646

38.4

2.7

(33.1–43.6)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

569

1,092

34.6

36.4

2.9

2.1

(28.9–40.2)

(32.2 – 40.5)

Ocala, Florida

568

33.7

2.9

(28.0–39.3)

Ocean City, New Jersey

487

37.6

2.8

(32.1–43.0)


TABLE 47. (Continued) Estimated prevalence of adults aged ≥ 18 years who are overweight,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

1,603

34.2

1.5

(31.2–37.1)

Oklahoma City, Oklahoma

2,391

34.8

1.3

(32.2–37.3)

Olympia, Washington

737

33.7

2.3

(29.1–38.2)

Omaha-Council Bluffs, Nebraska-Iowa

2,275

37.2

1.5

(34.2–40.1)

Orlando-Kissimmee, Florida

2,537

37.4

1.5

(34.4–40.3)

Palm Bay-Melbourne-Titusville, Florida

513

37.4

3.0

(31.5–43.2)

Panama City-Lynn Haven, Florida

526

37.9

3.6

(30.8–44.9)

Peabody, Massachusetts

1,969

36.7

2.1

(32.5–40.8)

Pensacola-Ferry Pass-Brent, Florida

977

35.0

2.2

(30.6–39.3)

Philadelphia, Pennsylvania

2,261

35.7

1.6

(32.5–38.8)

Phoenix-Mesa-Scottsdale, Arizona

1,608

41.1

2.0

(37.1–45.0)

Pittsburgh, Pennsylvania

2,303

35.7

1.4

(32.9–38.4)

Portland-South Portland-Biddeford, Maine

2,533

38.6

1.3

(36.0–41.1)

Portland-Vancouver-Beaverton, Oregon-Washington

3,228

33.7

1.3

(31.1–36.2)

Port St. Lucie-Fort Pierce, Florida

991

36.5

2.4

(31.7–41.2)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

9,024

37.9

0.9

(36.1–39.6)

Provo-Orem, Utah

1,117

33.9

2.1

(29.7–38.0)

Raleigh-Cary, North Carolina

963

36.0

2.1

(31.8–40.1)

Rapid City, South Dakota

813

42.2

2.2

(37.8–46.5)

Reno-Sparks, Nevada

1,270

36.8

1.8

(33.2–40.3)

Richmond, Virginia

751

41.1

2.9

(35.4–46.7)

Riverside-San Bernardino-Ontario, California

1,772

36.4

1.6

(33.2–39.5)

Rochester, New York

538

34.5

2.9

(28.8–40.1)

Rockingham County-Strafford County, New Hampshire

1,551

36.1

1.6

(32.9–39.2)

Rutland, Vermont

628

33.3

2.4

(28.5–38.0)

Sacramento-Arden-Arcade-Roseville, California

1,232

35.1

2.0

(31.1–39.0)

St. Louis, Missouri-Illinois

1,679

33.9

1.9

(30.1–37.6)

Salt Lake City, Utah

4,103

34.6

1.0

(32.6–36.5)

San Antonio, Texas

1,084

33.5

2.1

(29.3–37.6)

San Diego-Carlsbad-San Marcos, California

1,616

32.8

1.5

(29.8–35.7)

San Francisco-Oakland-Fremont, California

2,258

36.9

1.4

(34.1–39.6)

San Jose-Sunnyvale-Santa Clara, California

875

39.1

2.2

(34.7–43.4)

Santa Ana-Anaheim-Irvine, California

1,362

36.3

1.8

(32.7–39.8)

Santa Fe, New Mexico

587

32.9

2.7

(27.6–38.1)

Scottsbluff, Nebraska

736

39.1

2.7

(33.8–44.3)

Scranton-Wilkes-Barre, Pennsylvania

530

35.7

2.8

(30.2–41.1)

Seaford, Delaware

1,174

37.7

2.1

(33.5–41.8)

Seattle-Bellevue-Everett, Washington

4,467

34.9

1.0

(32.9–36.8)

Sebring, Florida

498

35.0

3.2

(28.7–41.2)

Shreveport-Bossier City, Louisiana

653

36.3

2.6

(31.2–41.3)

Sioux City, Iowa-Nebraska-South Dakota

1,166

35.7

3.3

(29.2–42.1)

Sioux Falls, South Dakota

794

39.9

2.3

(35.3–44.4)

Spokane, Washington

1,165

39.7

2.1

(35.5–43.8)

Springfield, Massachusetts

1,897

35.0

2.0

(31.0–38.9)

Tacoma, Washington

1,620

36.5

1.6

(33.3–39.6)

Tallahassee, Florida

1,956

39.9

2.7

(34.6–45.1)

Tampa-St. Petersburg-Clearwater, Florida

1,966

38.2

1.9

(34.4–41.9)

Toledo, Ohio

816

38.6

2.5

(33.7–43.5)

Topeka, Kansas

799

35.0

2.2

(30.6–39.3)

Trenton-Ewing, New Jersey

471

33.6

2.9

(27.9–39.2)

Tucson, Arizona

669

31.8

2.6

(26.7–36.8)

Tulsa, Oklahoma

2,044

36.3

1.5

(33.3–39.2)

Tuscaloosa, Alabama

497

38.0

3.3

(31.5–44.4)

Twin Falls, Idaho

507

33.2

2.8

(27.7–38.6)

Tyler, Texas

642

35.2

3.0

(29.3–41.0)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

1,033

32.0

2.3

(27.4–36.5)

Warren-Troy-Farmington Hills, Michigan

1,743

35.2

1.7

(31.8–38.5)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia

6,143

37.0

1.8

(33.4–40.5)

Wauchula, Florida

494

40.6

4.1

(32.5–48.6)

West Palm Beach-Boca Raton-Boynton Beach, Florida*

532

40.1

3.1

(34.0–46.1)

Wichita, Kansas

1,769

34.4

1.6

(31.2–37.5)

Wichita Falls, Texas

792

39.2

2.9

(33.5–44.8)

Wilmington, Delaware-Maryland-New Jersey

2,098

34.2

1.4

(31.4–36.9)


TABLE 47. (Continued) Estimated prevalence of adults aged ≥ 18 years who are overweight,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

1,953

35.8

2.0

(31.8–39.7)

Yakima, Washington

677

37.0

2.6

(31.9–42.0)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

1,010

35.5

2.8

(30.0–40.9)

Median

36.0

Range

28.5-42.5

Abbreviations: SE = standard error; CI = confidence interval.

* Body mass index ≥25.0 to <30.0 kg/m².

Metropolitan division.

§ Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 48. Estimated prevalence of adults aged ≥18 years who are overweight,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

567

37.9

2.7

(32.6–43.1)

Mobile County, Alabama

639

33.6

2.8

(28.1–39.0)

Tuscaloosa County, Alabama

417

38.5

3.4

(31.8–45.1)

Maricopa County, Arizona

1,243

41.5

2.1

(37.3–45.6)

Pima County, Arizona

669

31.8

2.6

(26.7–36.8)

Pinal County, Arizona

365

37.0

4.8

(27.5–46.4)

Benton County, Arkansas

342

39.0

4.1

(30.9–47.0)

Pulaski County, Arkansas

528

30.6

3.5

(23.7–37.4)

Washington County, Arkansas

277

36.4

4.3

(27.9–44.8)

Alameda County, California

728

36.9

2.3

(32.3–41.4)

Contra Costa County, California

601

36.3

2.7

(31.0–41.5)

Los Angeles County, California

2,461

38.2

1.3

(35.6–40.7)

Orange County, California

1,362

36.3

1.8

(32.7–39.8)

Placer County, California

242

36.3

4.1

(28.2–44.3)

Riverside County, California

878

37.2

2.2

(32.8–41.5)

Sacramento County, California

715

36.4

2.4

(31.6–41.1)

San Bernardino County, California

894

35.9

2.2

(31.5–40.2)

San Diego County, California

1,616

32.8

1.5

(29.8–35.7)

San Francisco County, California

371

35.1

3.3

(28.6–41.5)

San Mateo County, California

363

36.2

3.2

(29.9–42.4)

Santa Clara County, California

839

38.7

2.2

(34.3–43.0)

Adams County, Colorado

772

40.5

2.6

(35.4–45.5)

Arapahoe County, Colorado

828

37.9

2.3

(33.3–42.4)

Denver County, Colorado

829

36.5

2.4

(31.7–41.2)

Douglas County, Colorado

556

36.6

2.6

(31.5–41.6)

El Paso County, Colorado

987

37.6

2.0

(33.6–41.5)

Jefferson County, Colorado

1,123

35.8

2.0

(31.8–39.7)

Larimer County, Colorado

546

28.5

2.8

(23.0–33.9)

Fairfield County, Connecticut

2,074

37.8

1.8

(34.2–41.3)

Hartford County, Connecticut

1,421

37.7

1.8

(34.1–41.2)

Middlesex County, Connecticut

248

39.3

3.8

(31.8–46.7)

New Haven County, Connecticut

1,599

34.9

2.0

(30.9–38.8)

Tolland County, Connecticut

245

46.4

4.1

(38.3–54.4)

Kent County, Delaware

1,194

38.8

2.1

(34.6–42.9)

New Castle County, Delaware

1,653

33.3

1.5

(30.3–36.2)

Sussex County, Delaware

1,174

37.7

2.1

(33.5–41.8)

District of Columbia, District of Columbia

3,826

32.9

1.2

(30.5–35.2)

Alachua County, Florida

514

36.4

3.5

(29.5–43.2)

Baker County, Florida

491

28.9

3.8

(21.4–36.3)

Bay County, Florida

526

37.9

3.6

(30.8–44.9)

Brevard County, Florida

513

37.4

3.0

(31.5–43.2)

Broward County, Florida

511

36.4

2.9

(30.7–42.0)

Citrus County, Florida

509

38.0

3.0

(32.1–43.8)

Clay County, Florida

460

41.6

3.1

(35.5–47.6)

Collier County, Florida

502

36.4

3.3

(29.9–42.8)

Columbia County, Florida

538

39.1

3.2

(32.8–45.3)

DeSoto County, Florida

477

33.7

4.0

(25.8–41.5)

Duval County, Florida

526

34.3

2.7

(29.0–39.5)

Escambia County, Florida

498

34.4

3.1

(28.3–40.4)

Gadsden County, Florida

486

39.9

3.4

(33.2–46.5)

Gilchrist County, Florida

406

NA

NA

NA

Hardee County, Florida

494

40.6

4.1

(32.5–48.6)

Hernando County, Florida

468

37.3

3.2

(31.0–43.5)

Highlands County, Florida

498

35.0

3.2

(28.7–41.2)

Hillsborough County, Florida

495

39.3

3.2

(33.0–45.5)

Jefferson County, Florida

477

31.2

3.5

(24.3–38.0)

Lake County, Florida

578

38.4

2.8

(32.9–43.8)

Lee County, Florida

486

34.2

3.2

(27.9–40.4)

Leon County, Florida

482

40.7

3.4

(34.0–47.3)

Manatee County, Florida

505

36.7

3.1

(30.6–42.7)

Marion County, Florida

568

33.7

2.9

(28.0–39.3)

Martin County, Florida

508

39.7

3.1

(33.6–45.7)

Miami-Dade County, Florida

488

38.3

3.1

(32.2–44.3)


TABLE 48. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

497

37.1

3.2

(30.8–43.3)

Nassau County, Florida

513

34.2

4.0

(26.3–42.0)

Orange County, Florida

959

35.7

2.2

(31.3–40.0)

Osceola County, Florida

531

40.2

3.1

(34.1–46.2)

Palm Beach County, Florida

532

40.1

3.1

(34.0–46.1)

Pasco County, Florida

520

37.6

3.3

(31.1–44.0)

Pinellas County, Florida

483

40.1

3.1

(34.0–46.1)

Polk County, Florida

496

33.0

2.8

(27.5–38.4)

St. Johns County, Florida

509

38.5

2.9

(32.8–44.1)

St. Lucie County, Florida

483

36.0

2.9

(30.3–41.6)

Santa Rosa County, Florida

479

33.3

2.8

(27.8–38.7)

Sarasota County, Florida

587

36.8

2.8

(31.3–42.2)

Seminole County, Florida

469

36.8

3.0

(30.9–42.6)

Volusia County, Florida

826

38.0

2.7

(32.7–43.2)

Wakulla County, Florida

511

38.7

3.7

(31.4–45.9)

Cobb County, Georgia

242

37.4

3.9

(29.7–45.0)

DeKalb County, Georgia

325

32.1

3.4

(25.4–38.7)

Fulton County, Georgia

317

32.5

3.7

(25.2–39.7)

Gwinnett County, Georgia

235

37.9

3.9

(30.2–45.5)

Hawaii County, Hawaii

1,462

33.9

1.7

(30.5–37.2)

Honolulu County, Hawaii

2,899

34.2

1.2

(31.8–36.5)

Kauai County, Hawaii

638

31.8

2.5

(26.9–36.7)

Maui County, Hawaii

1,444

35.9

2.0

(31.9–39.8)

Ada County, Idaho

819

33.2

2.3

(28.6–37.7)

Bonneville County, Idaho

496

34.3

2.7

(29.0–39.5)

Canyon County, Idaho

583

41.3

2.9

(35.6–46.9)

Kootenai County, Idaho

550

39.8

3.1

(33.7–45.8)

Nez Perce County, Idaho

363

40.1

3.5

(33.2–46.9)

Twin Falls County, Idaho

404

34.3

3.1

(28.2–40.3)

Cook County, Illinois

2,831

34.2

1.3

(31.6–36.7)

DuPage County, Illinois

255

33.9

3.6

(26.8–40.9)

Allen County, Indiana

557

35.7

2.7

(30.4–40.9)

Lake County, Indiana

954

38.9

3.0

(33.0–44.7)

Marion County, Indiana

1,383

34.8

2.1

(30.6–38.9)

Linn County, Iowa

475

31.8

2.7

(26.5–37.0)

Polk County, Iowa

728

38.9

2.4

(34.1–43.6)

Johnson County, Kansas

1,367

35.3

1.6

(32.1–38.4)

Sedgwick County, Kansas

1,379

34.8

1.7

(31.4–38.1)

Shawnee County, Kansas

596

34.7

2.6

(29.6–39.7)

Wyandotte County, Kansas

568

29.5

2.7

(24.2–34.7)

Jefferson County, Kentucky

391

37.6

3.2

(31.3–43.8)

Caddo Parish, Louisiana

426

38.3

3.1

(32.2–44.3)

East Baton Rouge Parish, Louisiana

700

32.1

2.3

(27.5–36.6)

Jefferson Parish, Louisiana

566

35.0

2.6

(29.9–40.0)

Orleans Parish, Louisiana

360

32.6

3.2

(26.3–38.8)

St. Tammany Parish, Louisiana

352

39.1

3.6

(32.0–46.1)

Androscoggin County, Maine

489

34.9

2.8

(29.4–40.3)

Cumberland County, Maine

1,334

40.4

1.9

(36.6–44.1)

Kennebec County, Maine

630

33.4

2.4

(28.6–38.1)

Penobscot County, Maine

667

35.4

2.4

(30.6–40.1)

Sagadahoc County, Maine

287

42.9

3.6

(35.8–49.9)

York County, Maine

912

36.4

2.0

(32.4–40.3)

Anne Arundel County, Maryland

579

38.3

2.6

(33.2–43.3)

Baltimore County, Maryland

991

38.5

2.1

(34.3–42.6)

Cecil County, Maryland

259

35.2

3.7

(27.9–42.4)

Charles County, Maryland

331

38.4

3.3

(31.9–44.8)

Frederick County, Maryland

537

39.0

2.8

(33.5–44.4)

Harford County, Maryland

268

38.0

3.7

(30.7–45.2)

Howard County, Maryland

331

37.6

3.5

(30.7–44.4)

Montgomery County, Maryland

998

36.9

2.0

(32.9–40.8)

Prince George´s County, Maryland

746

40.5

2.5

(35.6–45.4)

Queen Anne´s County, Maryland

280

37.7

3.6

(30.6–44.7)

Washington County, Maryland

378

34.5

3.2

(28.2–40.7)


TABLE 48. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

510

41.2

3.1

(35.1–47.2)

Bristol County, Massachusetts

2,687

38.8

2.1

(34.6–42.9)

Essex County, Massachusetts

1,969

36.8

2.3

(32.2–41.3)

Hampden County, Massachusetts

1,469

36.3

2.4

(31.5–41.0)

Hampshire County, Massachusetts

257

33.6

4.2

(25.3–41.8)

Middlesex County, Massachusetts

2,814

35.3

1.6

(32.1–38.4)

Norfolk County, Massachusetts

798

35.4

2.2

(31.0–39.7)

Plymouth County, Massachusetts

633

34.8

2.7

(29.5–40.0)

Suffolk County, Massachusetts

1,634

33.3

2.1

(29.1–37.4)

Worcester County, Massachusetts

1,953

35.8

2.0

(31.8–39.7)

Kent County, Michigan

426

38.2

3.4

(31.5–44.8)

Macomb County, Michigan

503

35.4

2.8

(29.9–40.8)

Oakland County, Michigan

907

34.0

2.2

(29.6–38.3)

Wayne County, Michigan

1,840

34.0

1.8

(30.4–37.5)

Anoka County, Minnesota

363

36.2

3.5

(29.3–43.0)

Dakota County, Minnesota

548

39.1

3.0

(33.2–44.9)

Hennepin County, Minnesota

1,929

38.4

2.1

(34.2–42.5)

Ramsey County, Minnesota

864

35.5

4.0

(27.6–43.3)

Washington County, Minnesota

238

38.3

4.2

(30.0–46.5)

DeSoto County, Mississippi

356

34.7

3.7

(27.4–41.9)

Hinds County, Mississippi

325

33.3

3.7

(26.0–40.5)

Jackson County, Missouri

510

35.7

2.9

(30.0–41.3)

St. Louis County, Missouri

579

33.1

3.2

(26.8–39.3)

St. Louis city, Missouri

617

30.8

2.9

(25.1–36.4)

Flathead County, Montana

682

41.2

2.5

(36.3–46.1)

Lewis and Clark County, Montana

516

38.8

2.8

(33.3–44.2)

Yellowstone County, Montana

473

36.8

3.2

(30.5–43.0)

Adams County, Nebraska

460

36.0

3.2

(29.7–42.2)

Dakota County, Nebraska

710

40.4

2.5

(35.5–45.3)

Douglas County, Nebraska

916

37.0

2.2

(32.6–41.3)

Hall County, Nebraska

567

42.1

2.9

(36.4–47.7)

Lancaster County, Nebraska

829

32.0

2.4

(27.2–36.7)

Lincoln County, Nebraska

537

34.6

3.0

(28.7–40.4)

Madison County, Nebraska

444

39.8

3.4

(33.1–46.4)

Sarpy County, Nebraska

558

40.6

3.1

(34.5–46.6)

Scotts Bluff County, Nebraska

713

40.4

2.8

(34.9–45.8)

Seward County, Nebraska

281

38.1

4.2

(29.8–46.3)

Clark County, Nevada

1,234

37.3

1.9

(33.5–41.0)

Washoe County, Nevada

1,250

36.6

1.8

(33.0–40.1)

Grafton County, New Hampshire

501

33.7

2.8

(28.2–39.1)

Hillsborough County, New Hampshire

1,371

35.8

1.8

(32.2–39.3)

Merrimack County, New Hampshire

616

40.9

2.8

(35.4–46.3)

Rockingham County, New Hampshire

978

36.4

2.0

(32.4–40.3)

Strafford County, New Hampshire

573

36.6

2.8

(31.1–42.0)

Atlantic County, New Jersey

863

42.5

2.3

(37.9–47.0)

Bergen County, New Jersey

579

33.4

2.5

(28.5–38.3)

Burlington County, New Jersey

530

34.7

2.8

(29.2–40.1)

Camden County, New Jersey

564

36.6

2.9

(30.9–42.2)

Cape May County, New Jersey

487

37.6

2.8

(32.1–43.0)

Essex County, New Jersey

948

36.9

2.1

(32.7–41.0)

Gloucester County, New Jersey

487

38.9

2.9

(33.2–44.5)

Hudson County, New Jersey

1,025

34.8

1.9

(31.0–38.5)

Hunterdon County, New Jersey

474

42.2

3.0

(36.3–48.0)

Mercer County, New Jersey

471

33.6

2.9

(27.9–39.2)

Middlesex County, New Jersey

590

37.3

2.6

(32.2–42.3)

Monmouth County, New Jersey

519

40.1

2.9

(34.4–45.7)

Morris County, New Jersey

649

40.4

2.6

(35.3–45.4)

Ocean County, New Jersey

490

41.5

2.9

(35.8–47.1)

Passaic County, New Jersey

474

37.2

3.0

(31.3–43.0)

Somerset County, New Jersey

509

35.7

2.6

(30.6–40.7)

Sussex County, New Jersey

468

38.6

2.9

(32.9–44.2)

Union County, New Jersey

483

44.6

3.0

(38.7–50.4)

Warren County, New Jersey

451

36.9

3.1

(30.8–42.9)


TABLE 48. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

1,223

33.7

1.9

(29.9–37.4)

Dona Ana County, New Mexico

471

37.2

3.4

(30.5–43.8)

Sandoval County, New Mexico

503

37.1

3.2

(30.8–43.3)

San Juan County, New Mexico

661

31.4

2.5

(26.5–36.3)

Santa Fe County, New Mexico

587

32.9

2.7

(27.6–38.1)

Valencia County, New Mexico

342

42.7

3.8

(35.2–50.1)

Bronx County, New York

410

43.2

3.2

(36.9–49.4)

Erie County, New York

452

37.6

3.2

(31.3–43.8)

Kings County, New York

862

36.7

2.3

(32.1–41.2)

Monroe County, New York

360

36.1

3.5

(29.2–42.9)

Nassau County, New York

456

39.2

2.9

(33.5–44.8)

New York County, New York

992

35.1

2.3

(30.5–39.6)

Queens County, New York

755

43.3

2.5

(38.4–48.2)

Suffolk County, New York

567

33.3

2.5

(28.4–38.2)

Westchester County, New York

364

44.0

3.3

(37.5–50.4)

Buncombe County, North Carolina

245

32.3

3.8

(24.8–39.7)

Cabarrus County, North Carolina

297

32.3

3.5

(25.4–39.1)

Catawba County, North Carolina

286

45.7

3.9

(38.0–53.3)

Durham County, North Carolina

596

33.0

2.7

(27.7–38.2)

Gaston County, North Carolina

254

37.3

3.9

(29.6–44.9)

Guilford County, North Carolina

656

34.5

2.6

(29.4–39.5)

Johnston County, North Carolina

255

38.5

3.8

(31.0–45.9)

Mecklenburg County, North Carolina

569

34.5

2.9

(28.8–40.1)

Orange County, North Carolina

282

35.6

3.8

(28.1–43.0)

Randolph County, North Carolina

383

44.4

3.5

(37.5–51.2)

Union County, North Carolina

330

38.3

3.8

(30.8–45.7)

Wake County, North Carolina

671

36.3

2.5

(31.4–41.2)

Burleigh County, North Dakota

536

36.3

2.9

(30.6–41.9)

Cass County, North Dakota

733

34.6

2.8

(29.1–40.0)

Ward County, North Dakota

434

41.2

3.0

(35.3–47.0)

Cuyahoga County, Ohio

670

36.2

2.5

(31.3–41.1)

Franklin County, Ohio

643

32.5

2.6

(27.4–37.5)

Hamilton County, Ohio

685

33.1

2.6

(28.0–38.1)

Lucas County, Ohio

691

38.5

2.6

(33.4–43.5)

Mahoning County, Ohio

696

38.3

2.9

(32.6–43.9)

Montgomery County, Ohio

665

37.0

2.6

(31.9–42.0)

Stark County, Ohio

683

35.7

2.5

(30.8–40.6)

Summit County, Ohio

670

32.6

2.9

(26.9–38.2)

Cleveland County, Oklahoma

423

38.2

3.1

(32.1–44.2)

Oklahoma County, Oklahoma

1,384

34.5

1.7

(31.1–37.8)

Tulsa County, Oklahoma

1,440

36.1

1.7

(32.7–39.4)

Clackamas County, Oregon

427

34.9

3.1

(28.8–40.9)

Lane County, Oregon

496

30.1

2.9

(24.4–35.7)

Multnomah County, Oregon

778

30.2

2.2

(25.8–34.5)

Washington County, Oregon

551

39.2

2.8

(33.7–44.6)

Allegheny County, Pennsylvania

1,315

33.3

1.8

(29.7–36.8)

Lehigh County, Pennsylvania

273

34.9

3.3

(28.4–41.3)

Luzerne County, Pennsylvania

298

33.0

3.7

(25.7–40.2)

Montgomery County, Pennsylvania

330

35.7

3.5

(28.8–42.5)

Northampton County, Pennsylvania

247

35.0

4.6

(25.9–44.0)

Philadelphia County, Pennsylvania

1,337

35.3

1.8

(31.7–38.8)

Westmoreland County, Pennsylvania

322

39.9

3.4

(33.2–46.5)

Bristol County, Rhode Island

266

39.6

3.8

(32.1–47.0)

Kent County, Rhode Island

901

39.4

2.2

(35.0–43.7)

Newport County, Rhode Island

474

40.1

3.0

(34.2–45.9)

Providence County, Rhode Island

3,971

37.0

1.2

(34.6–39.3)

Washington County, Rhode Island

725

38.1

2.6

(33.0–43.1)

Aiken County, South Carolina

457

35.8

2.9

(30.1–41.4)

Beaufort County, South Carolina

649

39.0

2.8

(33.5–44.4)

Berkeley County, South Carolina

341

30.0

4.5

(21.1–38.8)

Charleston County, South Carolina

644

36.7

3.4

(30.0–43.3)

Greenville County, South Carolina

474

33.2

3.2

(26.9–39.4)

Horry County, South Carolina

533

41.2

3.1

(35.1–47.2)


TABLE 48. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

642

34.2

3.5

(27.3–41.0)

Minnehaha County, South Dakota

573

39.5

2.8

(34.0–44.9)

Pennington County, South Dakota

639

42.7

2.5

(37.8–47.6)

Davidson County, Tennessee

388

33.6

3.8

(26.1–41.0)

Hamilton County, Tennessee

359

37.3

3.7

(30.0–44.5)

Knox County, Tennessee

355

33.1

3.5

(26.2–39.9)

Shelby County, Tennessee

375

38.0

4.0

(30.1–45.8)

Sullivan County, Tennessee

437

36.5

3.4

(29.8–43.1)

Bexar County, Texas

932

34.0

2.2

(29.6–38.3)

Dallas County, Texas

367

27.2

3.4

(20.5–33.8)

El Paso County, Texas

813

41.1

2.6

(36.0–46.1)

Fort Bend County, Texas

887

36.3

2.2

(31.9–40.6)

Harris County, Texas

1,384

33.9

1.8

(30.3–37.4)

Hidalgo County, Texas

551

35.8

2.8

(30.3–41.2)

Lubbock County, Texas

717

33.0

2.6

(27.9–38.0)

Midland County, Texas

497

37.6

3.1

(31.5–43.6)

Potter County, Texas

329

34.0

3.4

(27.3–40.6)

Randall County, Texas

447

39.5

3.6

(32.4–46.5)

Smith County, Texas

642

35.2

3.0

(29.3–41.0)

Tarrant County, Texas

570

34.5

3.1

(28.4–40.5)

Travis County, Texas

715

38.5

4.6

(29.4–47.5)

Val Verde County, Texas

505

NA

NA

NA

Webb County, Texas

837

37.6

2.3

(33.0–42.1)

Wichita County, Texas

646

37.2

3.2

(30.9–43.4)

Davis County, Utah

833

37.5

2.1

(33.3–41.6)

Salt Lake County, Utah

3,122

34.1

1.1

(31.9–36.2)

Summit County, Utah

435

36.5

3.1

(30.4–42.5)

Tooele County, Utah

546

40.4

2.9

(34.7–46.0)

Utah County, Utah

1,059

33.7

2.1

(29.5–37.8)

Weber County, Utah

728

28.5

2.0

(24.5–32.4)

Chittenden County, Vermont

1,384

35.8

1.8

(32.2–39.3)

Franklin County, Vermont

471

38.4

2.7

(33.1–43.6)

Orange County, Vermont

345

35.1

3.2

(28.8–41.3)

Rutland County, Vermont

628

33.3

2.4

(28.5–38.0)

Washington County, Vermont

647

36.9

2.5

(32.0–41.8)

Windsor County, Vermont

651

34.1

2.4

(29.3–38.8)

Benton County, Washington

372

33.8

3.1

(27.7–39.8)

Clark County, Washington

1,030

33.5

2.2

(29.1–37.8)

Franklin County, Washington

228

41.6

4.7

(32.3–50.8)

King County, Washington

2,911

34.1

1.2

(31.7–36.4)

Kitsap County, Washington

882

36.3

2.2

(31.9–40.6)

Pierce County, Washington

1,620

37.0

1.6

(33.8–40.1)

Snohomish County, Washington

1,556

36.8

1.6

(33.6–39.9)

Spokane County, Washington

1,165

39.7

2.1

(35.5–43.8)

Thurston County, Washington

737

33.7

2.3

(29.1–38.2)

Yakima County, Washington

677

37.0

2.6

(31.9–42.0)

Kanawha County, West Virginia

459

34.2

2.9

(28.5–39.8)

Milwaukee County, Wisconsin

1,140

37.5

2.8

(32.0–42.9)

Laramie County, Wyoming

863

39.2

2.3

(34.6–43.7)

Natrona County, Wyoming

737

37.7

2.6

(32.6–42.7)

Median

36.6

Range

27.2-46.4

Abbreviations: SE = standard error; CI = confidence interval.

* Body mass index ≥25.0 to <30.0 kg/m².

Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 49. Estimated prevalence of adults aged ≥20 years who are obese,* by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

7,211

33.5

0.8

(31.9–35.1)

Alaska

1,862

25.6

1.6

(22.5–28.7)

Arizona

5,464

25.6

1.1

(23.4–27.8)

Arkansas

3,801

31.7

1.2

(29.4–34.0)

California

16,591

25.4

0.5

(24.5–26.3)

Colorado

11,026

22.1

0.6

(20.9–23.3)

Connecticut

6,384

23.4

0.8

(21.9–24.9)

Delaware

3,980

29.3

1.0

(27.3–31.3)

District of Columbia

3,809

22.5

0.9

(20.7–24.3)

Florida

33,433

27.5

0.6

(26.3–28.7)

Georgia

5,456

30.7

0.9

(28.9–32.5)

Hawaii

6,371

23.6

0.8

(21.9–25.3)

Idaho

6,579

27.7

0.8

(26.1–29.3)

Illinois

5,040

29.3

1.0

(27.4–31.2)

Indiana

9,628

30.9

0.7

(29.5–32.3)

Iowa

5,722

29.5

0.8

(27.9–31.1)

Kansas

8,111

31.0

0.7

(29.6–32.4)

Kentucky

7,602

32.4

0.9

(30.6–34.2)

Louisiana

6,655

32.4

0.8

(30.8–34.0)

Maine

7,759

28.1

0.7

(26.8–29.4)

Maryland

8,624

28.7

0.7

(27.2–30.2)

Massachusetts

15,000

23.8

0.6

(22.7–24.9)

Michigan

8,441

32.6

0.7

(31.2–34.0)

Minnesota

8,412

25.5

0.9

(23.8–27.2)

Mississippi

7,685

35.0

0.8

(33.4–36.6)

Missouri

5,168

32.1

1.1

(30.0–34.2)

Montana

7,048

24.5

0.8

(22.9–26.1)

Nebraska

15,708

28.3

0.8

(26.8–29.8)

Nevada

3,724

23.5

1.2

(21.1–25.9)

New Hampshire

5,781

26.1

0.8

(24.5–27.7)

New Jersey

11,493

25.2

0.6

(24.0–26.4)

New Mexico

6,676

26.1

0.8

(24.4–27.8)

New York

8,413

25.0

0.6

(23.8–26.2)

North Carolina

11,428

29.0

0.7

(27.7–30.3)

North Dakota

4,443

28.7

0.9

(27.0–30.4)

Ohio

9,255

29.9

0.7

(28.5–31.3)

Oklahoma

7,379

31.8

0.7

(30.4–33.2)

Oregon

4,794

28.5

1.0

(26.6–30.4)

Pennsylvania

10,640

29.5

0.6

(28.3–30.7)

Rhode Island

6,297

26.5

0.8

(24.9–28.1)

South Carolina

8,943

32.2

1.0

(30.3–34.1)

South Dakota

6,338

28.7

0.8

(27.1–30.3)

Tennessee

5,410

32.0

1.0

(30.0–34.0)

Texas

16,834

32.2

0.8

(30.7–33.7)

Utah

9,522

24.3

0.6

(23.1–25.5)

Vermont

6,487

24.6

0.7

(23.2–26.0)

Virginia

5,026

26.8

1.1

(24.7–28.9)

Washington

18,382

26.9

0.5

(25.9–27.9)

West Virginia

4,154

33.4

1.0

(31.5–35.3)

Wisconsin

4,446

27.6

1.0

(25.6–29.6)

Wyoming

5,529

26.8

0.8

(25.2–28.4)

Guam

726

29.0

2.2

(24.7–33.3)

Puerto Rico

3,334

28.4

1.1

(26.3–30.5)

Virgin Islands

1,714

30.9

1.5

(27.9–33.9)

Median

28.5

Range

22.1-35.0

Abbreviations: SE = standard error; CI = confidence interval.

* Body mass index ≥30.0 kg/m².


TABLE 50. Estimated prevalence of adults aged ≥20 years who are obese,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

771

29.6

2.7

(24.4–34.8)

Albuquerque, New Mexico

2,105

22.4

1.4

(19.6–25.2)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

1,029

29.5

2.1

(25.4–33.6)

Amarillo, Texas

797

30.4

2.4

(25.7–35.1)

Arcadia, Florida

473

35.9

4.3

(27.4–44.4)

Asheville, North Carolina

516

27.4

3.1

(21.4–33.4)

Atlanta-Sandy Springs-Marietta, Georgia

2,229

29.0

1.5

(26.0–32.0)

Atlantic City, New Jersey

858

27.0

2.0

(23.1–30.9)

Augusta-Richmond County, Georgia-South Carolina

826

31.8

2.4

(27.0–36.6)

Augusta-Waterville, Maine

627

30.1

2.5

(25.2–35.0)

Austin-Round Rock, Texas

912

28.1

3.6

(21.1–35.1)

Baltimore-Towson, Maryland

3,158

28.8

1.1

(26.6–31.0)

Bangor, Maine

662

34.0

2.3

(29.5–38.5)

Barre, Vermont

644

22.2

2.1

(18.1–26.3)

Baton Rouge, Louisiana

1,134

34.1

1.9

(30.4–37.8)

Bethesda-Gaithersburg-Frederick, Maryland

1,525

20.4

1.5

(17.5–23.3)

Billings, Montana

518

28.1

2.6

(23.0–33.2)

Birmingham-Hoover, Alabama

1,122

29.8

1.8

(26.2–33.4)

Bismarck, North Dakota

729

26.0

2.0

(22.1–29.9)

Boise City-Nampa, Idaho

1,548

26.2

1.5

(23.2–29.2)

Boston-Quincy, Massachusetts

3,052

21.6

1.1

(19.5–23.7)

Bremerton-Silverdale, Washington

870

30.3

2.0

(26.3–34.3)

Bridgeport-Stamford-Norwalk, Connecticut

2,059

17.1

1.3

(14.6–19.6)

Buffalo-Cheektowaga-Tonawanda, New York

566

26.0

2.4

(21.3–30.7)

Burlington-South Burlington, Vermont

1,907

22.4

1.2

(20.1–24.7)

Cambridge-Newton-Framingham, Massachusetts

2,791

21.1

1.2

(18.8–23.4)

Camden, New Jersey

1,574

29.5

1.6

(26.3–32.7)

Canton-Massillon, Ohio

713

28.3

2.2

(24.0–32.6)

Cape Coral-Fort Myers, Florida

482

26.8

2.9

(21.1–32.5)

Casper, Wyoming

733

28.4

2.3

(23.9–32.9)

Cedar Rapids, Iowa

532

26.5

2.6

(21.3–31.7)

Charleston, West Virginia

717

32.5

2.4

(27.7–37.3)

Charleston-North Charleston, South Carolina

1,092

29.0

2.5

(24.0–34.0)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,600

28.7

1.7

(25.4–32.0)

Chattanooga, Tennessee-Georgia

503

31.8

3.2

(25.6–38.0)

Cheyenne, Wyoming

857

27.5

2.1

(23.4–31.6)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

4,832

27.5

1.1

(25.4–29.6)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,692

28.9

1.7

(25.6–32.2)

Cleveland-Elyria-Mentor, Ohio

1,017

24.5

1.7

(21.1–27.9)

Coeur d´Alene, Idaho

547

25.2

2.8

(19.7–30.7)

Colorado Springs, Colorado

1,096

24.7

1.8

(21.2–28.2)

Columbia, South Carolina

1,090

31.4

2.4

(26.7–36.1)

Columbus, Ohio

1,296

30.9

1.9

(27.2–34.6)

Concord, New Hampshire

615

22.7

2.4

(18.0–27.4)

Dallas-Plano-Irving, Texas*

674

34.4

2.9

(28.6–40.2)

Dayton, Ohio

804

29.9

2.6

(24.9–34.9)

Del Rio, Texas

499

37.2

3.3

(30.8–43.6)

Deltona-Daytona Beach-Ormond Beach, Florida

822

27.9

2.7

(22.7–33.1)

Denver-Aurora, Colorado

4,571

20.3

0.8

(18.7–21.9)

Des Moines-West Des Moines, Iowa

946

26.4

1.8

(22.9–29.9)

Detroit-Livonia-Dearborn, Michigan

1,808

34.4

1.7

(31.0–37.8)

Dover, Delaware

1,182

32.6

1.8

(29.0–36.2)

Durham, North Carolina

987

25.0

1.9

(21.2–28.8)

Edison, New Jersey

2,094

24.2

1.3

(21.6–26.8)

El Paso, Texas

801

28.9

2.1

(24.7–33.1)

Eugene-Springfield, Oregon

490

31.6

3.4

(24.9–38.3)

Evansville, Indiana-Kentucky

508

30.2

3.0

(24.3–36.1)

Fargo, North Dakota-Minnesota

779

26.6

3.0

(20.6–32.6)

Farmington, New Mexico

653

34.0

2.9

(28.3–39.7)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

650

24.9

2.6

(19.9–29.9)

Fort Collins-Loveland, Colorado

540

22.9

3.0

(17.0–28.8)

Fort Wayne, Indiana

679

34.0

2.3

(29.5–38.5)

Fort Worth-Arlington, Texas

691

32.2

2.7

(26.9–37.5)


TABLE 50. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

908

20.7

2.6

(15.5–25.9)

Grand Island, Nebraska

826

29.3

2.2

(25.0–33.6)

Grand Rapids-Wyoming, Michigan

587

29.0

2.4

(24.4–33.6)

Greensboro-High Point, North Carolina

1,097

28.9

2.0

(24.9–32.9)

Greenville, South Carolina

740

35.1

3.3

(28.7–41.5)

Hagerstown-Martinsburg, Maryland-West Virginia

601

33.1

2.9

(27.4–38.8)

Hartford-West Hartford-East Hartford, Connecticut

1,903

24.1

1.4

(21.4–26.8)

Hastings, Nebraska

565

31.2

2.9

(25.5–36.9)

Helena, Montana

619

21.8

2.5

(17.0–26.6)

Hickory-Morganton-Lenoir, North Carolina

578

25.7

2.3

(21.2–30.2)

Hilo, Hawaii

1,449

27.1

1.7

(23.8–30.4)

Hilton Head Island-Beaufort, South Carolina

762

23.0

2.1

(18.9–27.1)

Homosassa Springs, Florida

503

25.2

2.6

(20.2–30.2)

Honolulu, Hawaii

2,860

22.5

1.1

(20.3–24.7)

Houston-Sugar Land-Baytown, Texas

2,584

30.6

1.4

(27.9–33.3)

Huntington-Ashland, West Virginia-Kentucky-Ohio

623

33.8

2.7

(28.5–39.1)

Idaho Falls, Idaho

626

29.9

2.5

(25.0–34.8)

Indianapolis-Carmel, Indiana

2,125

29.1

1.5

(26.2–32.0)

Jackson, Mississippi

715

33.4

2.4

(28.7–38.1)

Jacksonville, Florida

2,485

25.6

1.6

(22.4–28.8)

Kahului-Wailuku, Hawaii

1,428

27.2

2.0

(23.3–31.1)

Kalispell, Montana

677

18.7

2.1

(14.6–22.8)

Kansas City, Missouri-Kansas

3,206

30.6

1.3

(28.1–33.1)

Kapaa, Hawaii

634

24.2

2.5

(19.2–29.2)

Kennewick-Richland-Pasco, Washington

589

32.8

2.7

(27.5–38.1)

Key West-Marathon, Florida

496

17.1

2.3

(12.6–21.6)

Kingsport-Bristol, Tennessee-Virginia

607

36.8

3.7

(29.6–44.0)

Knoxville, Tennessee

504

30.6

3.0

(24.7–36.5)

Lake City, Florida

533

31.3

2.8

(25.9–36.7)

Lakeland-Winter Haven, Florida

492

36.8

3.0

(30.9–42.7)

Laredo, Texas

824

33.8

2.1

(29.8–37.8)

Las Cruces, New Mexico

461

29.6

3.1

(23.5–35.7)

Las Vegas-Paradise, Nevada

1,218

23.5

1.6

(20.3–26.7)

Lebanon, New Hampshire-Vermont

1,489

25.1

1.5

(22.1–28.1)

Lewiston, Idaho-Washington

569

27.7

2.5

(22.9–32.5)

Lewiston-Auburn, Maine

483

28.2

2.5

(23.3–33.1)

Lincoln, Nebraska

1,097

31.4

2.4

(26.6–36.2)

Little Rock-North Little Rock, Arkansas

767

35.8

2.8

(30.4–41.2)

Los Angeles-Long Beach-Glendale, California

2,414

25.3

1.2

(23.0–27.6)

Louisville, Kentucky-Indiana

856

32.2

2.2

(27.9–36.5)

Lubbock, Texas

729

32.9

3.2

(26.7–39.1)

Manchester-Nashua, New Hampshire

1,357

25.6

1.6

(22.4–28.8)

McAllen-Edinburg-Mission, Texas

537

35.9

2.7

(30.6–41.2)

Memphis, Tennessee-Mississippi-Arkansas

1,099

36.6

2.6

(31.5–41.7)

Miami-Fort Lauderdale-Miami Beach, Florida

991

28.5

2.0

(24.6–32.4)

Midland, Texas

493

24.8

2.6

(19.7–29.9)

Milwaukee-Waukesha-West Allis, Wisconsin

1,417

27.0

2.2

(22.8–31.2)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

4,551

24.8

1.2

(22.4–27.2)

Minot, North Dakota

515

30.0

2.5

(25.0–35.0)

Mobile, Alabama

633

34.3

2.7

(29.0–39.6)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

527

27.1

2.9

(21.3–32.9)

Naples-Marco Island, Florida

498

23.9

3.5

(17.1–30.7)

Nashville-Davidson-Murfreesboro, Tennessee

775

25.1

2.3

(20.6–29.6)

Nassau-Suffolk, New York*

1,013

22.3

1.8

(18.9–25.7)

Newark-Union, New Jersey-Pennsylvania

3,053

24.6

1.3

(22.1–27.1)

New Haven-Milford, Connecticut

1,585

27.4

1.7

(24.0–30.8)

New Orleans-Metairie-Kenner, Louisiana

1,459

33.1

1.8

(29.5–36.7)

New York-White Plains-Wayne, New York-New Jersey

5,786

22.5

0.8

(21.0–24.0)

Norfolk, Nebraska

643

33.3

2.7

(28.0–38.6)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

567

1,083

32.1

20.9

3.1

1.7

(26.0–38.2)

(17.8–24.3)

Ocala, Florida

562

35.3

2.8

(29.7–40.9)

Ocean City, New Jersey

484

25.1

2.5

(20.1–30.1)


TABLE 50. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

1,573

26.2

1.4

(23.4–29.0)

Oklahoma City, Oklahoma

2,363

30.9

1.2

(28.5–33.3)

Olympia, Washington

730

25.7

2.1

(21.6–29.8)

Omaha-Council Bluffs, Nebraska-Iowa

2,244

26.5

1.3

(24.0–29.0)

Orlando-Kissimmee, Florida

2,511

28.6

1.4

(25.8–31.4)

Palm Bay-Melbourne-Titusville, Florida

511

32.1

3.2

(25.9–38.3)

Panama City-Lynn Haven, Florida

520

28.6

3.3

(22.2–35.0)

Peabody, Massachusetts

1,448

22.8

1.7

(19.6–26.4)

Pensacola-Ferry Pass-Brent, Florida

970

30.5

2.3

(26.0–35.0)

Philadelphia, Pennsylvania

2,248

24.5

1.3

(21.9–27.1)

Phoenix-Mesa-Scottsdale, Arizona

1,599

23.4

1.7

(20.1–26.7)

Pittsburgh, Pennsylvania

2,290

30.1

1.3

(27.5–32.7)

Portland-South Portland-Biddeford, Maine

2,511

24.3

1.1

(22.1–26.5)

Portland-Vancouver-Beaverton, Oregon-Washington

3,207

26.7

1.2

(24.3–29.1)

Port St. Lucie-Fort Pierce, Florida

987

28.3

2.2

(23.9–32.7)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

8,967

26.9

0.8

(25.4–28.4)

Provo-Orem, Utah

1,088

23.7

1.7

(20.4–27.0)

Raleigh-Cary, North Carolina

954

27.5

1.9

(23.8–31.2)

Rapid City, South Dakota

806

25.8

2.0

(22.0–29.6)

Reno-Sparks, Nevada

1,258

21.2

1.4

(18.4–24.0)

Richmond, Virginia

747

26.7

2.7

(21.3–32.1)

Riverside-San Bernardino-Ontario, California

1,744

29.8

1.5

(26.9–32.7)

Rochester, New York

534

29.1

2.7

(23.8–34.4)

Rockingham County-Strafford County, New Hampshire

1,542

27.6

1.5

(24.6–30.6)

Rutland, Vermont

620

32.3

2.4

(27.5–37.1)

Sacramento-Arden-Arcade-Roseville, California

1,216

25.3

1.8

(21.7–28.9)

St. Louis, Missouri-Illinois

1,652

31.4

1.9

(27.7–35.1)

Salt Lake City, Utah

4,043

24.7

0.9

(22.9–26.5)

San Antonio, Texas

1,074

31.2

2.0

(27.3–35.1)

San Diego-Carlsbad-San Marcos, California

1,599

26.4

1.5

(23.5–29.3)

San Francisco-Oakland-Fremont, California

2,225

18.4

1.1

(16.3–20.5)

San Jose-Sunnyvale-Santa Clara, California

866

21.8

1.8

(18.2–25.4)

Santa Ana-Anaheim-Irvine, California

1,342

20.6

1.4

(17.8–23.4)

Santa Fe, New Mexico

585

21.1

2.6

(16.0–26.2)

Scottsbluff, Nebraska

733

33.7

2.6

(28.6–38.8)

Scranton-Wilkes-Barre, Pennsylvania

529

28.7

2.7

(23.5–33.9)

Seaford, Delaware

1,162

32.7

2.1

(28.7–36.7)

Seattle-Bellevue-Everett, Washington

4,425

23.3

0.9

(21.5–25.1)

Sebring, Florida

497

29.6

3.2

(23.3–35.9)

Shreveport-Bossier City, Louisiana

648

29.1

2.3

(24.5–33.7)

Sioux City, Iowa-Nebraska-South Dakota

1,155

31.1

3.0

(25.3–36.9)

Sioux Falls, South Dakota

786

27.9

2.2

(23.6–32.2)

Spokane, Washington

1,148

25.5

1.6

(22.3–28.7)

Springfield, Massachusetts

1,886

24.4

1.8

(20.9–27.9)

Tacoma, Washington

1,605

31.5

1.6

(28.4–34.6)

Tallahassee, Florida

1,935

28.4

2.3

(23.9–32.9)

Tampa-St. Petersburg-Clearwater, Florida

1,953

26.9

1.7

(23.6–30.2)

Toledo, Ohio

809

30.1

2.2

(25.7–34.5)

Topeka, Kansas

795

36.8

2.2

(32.4–41.2)

Trenton-Ewing, New Jersey

466

24.3

2.9

(18.6–30.0)

Tucson, Arizona

667

27.2

2.7

(21.9–32.5)

Tulsa, Oklahoma

2,022

30.7

1.4

(28.0–33.4)

Tuscaloosa, Alabama

495

31.6

2.9

(25.8–37.4)

Twin Falls, Idaho

506

31.3

3.1

(25.2–37.4)

Tyler, Texas

637

26.6

2.8

(21.1–32.1)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

1,027

30.7

2.3

(26.3–35.1)

Warren-Troy-Farmington Hills, Michigan

1,721

31.7

2.0

(27.8–35.6)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia

6,110

25.5

1.5

(22.6–28.4)

Wauchula, Florida

492

42.1

3.9

(34.4–49.8)

West Palm Beach-Boca Raton-Boynton Beach, Florida

529

20.5

2.6

(15.3–25.7)

Wichita, Kansas

1,752

28.2

1.4

(25.4–31.0)

Wichita Falls, Texas

782

30.3

2.5

(25.5–35.1)

Wilmington, Delaware-Maryland-New Jersey

2,080

30.7

1.4

(28.0–33.4)


TABLE 50. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

1,940

26.6

1.6

(23.4–29.8)

Yakima, Washington

667

32.6

2.5

(27.7–37.5)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

1,008

35.1

2.9

(29.4–40.8)

Median

28.3

Range

17.1-42.1

Abbreviations: SE = standard error; CI = confidence interval.

* Body mass index ≥30.0 kg/m².

Metropolitan division.


TABLE 51. Estimated prevalence of adults aged ≥20 years who are obese,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

561

28.7

2.3

(24.1–33.3)

Mobile County, Alabama

633

34.3

2.7

(29.0–39.6)

Tuscaloosa County, Alabama

415

29.8

3.1

(23.7–35.9)

Maricopa County, Arizona

1,234

22.9

1.8

(19.4–26.4)

Pima County, Arizona

667

27.2

2.7

(21.9–32.5)

Pinal County, Arizona

365

33.0

5.0

(23.1–42.9)

Benton County, Arkansas

336

21.8

3.1

(15.8–27.8)

Pulaski County, Arkansas

521

34.6

3.4

(27.9–41.3)

Washington County, Arkansas

275

29.2

4.2

(20.9–37.5)

Alameda County, California

717

18.5

1.8

(15.1–21.9)

Contra Costa County, California

592

23.8

2.4

(19.1–28.5)

Los Angeles County, California

2,414

25.3

1.2

(23.0–27.6)

Orange County, California

1,342

20.6

1.4

(17.8–23.4)

Placer County, California

239

21.7

3.5

(14.8–28.6)

Riverside County, California

869

30.4

2.1

(26.2–34.6)

Sacramento County, California

702

28.0

2.2

(23.7–32.3)

San Bernardino County, California

875

30.6

2.2

(26.3–34.9)

San Diego County, California

1,599

26.4

1.5

(23.5–29.3)

San Francisco County, California

366

15.0

2.3

(10.6–19.4)

San Mateo County, California

356

19.9

2.6

(14.8–25.0)

Santa Clara County, California

830

21.9

1.9

(18.2–25.6)

Adams County, Colorado

761

23.5

2.0

(19.7–27.3)

Arapahoe County, Colorado

820

20.7

1.8

(17.2–24.2)

Denver County, Colorado

823

18.0

1.8

(14.4–21.6)

Douglas County, Colorado

553

17.5

2.5

(12.5–22.5)

El Paso County, Colorado

971

25.3

1.9

(21.6–29.0)

Jefferson County, Colorado

1,108

21.8

1.7

(18.5–25.1)

Larimer County, Colorado

540

22.9

3.0

(17.0–28.8)

Fairfield County, Connecticut

2,059

17.1

1.3

(14.6–19.6)

Hartford County, Connecticut

1,415

25.8

1.6

(22.6–29.0)

Middlesex County, Connecticut

244

21.3

3.4

(14.7–27.9)

New Haven County, Connecticut

1,585

27.4

1.7

(24.0–30.8)

Tolland County, Connecticut

244

18.7

2.9

(12.9–24.5)

Kent County, Delaware

1,182

32.6

1.8

(29.0–36.2)

New Castle County, Delaware

1,636

27.1

1.4

(24.3–29.9)

Sussex County, Delaware

1,162

32.7

2.1

(28.7–36.7)

District of Columbia, District of Columbia

3,809

21.5

1.0

(19.5–23.5)

Alachua County, Florida

509

21.3

2.8

(15.8–26.8)

Baker County, Florida

491

34.8

4.6

(25.9–43.7)

Bay County, Florida

520

28.6

3.3

(22.2–35.0)

Brevard County, Florida

511

32.1

3.2

(25.9–38.3)

Broward County, Florida

507

28.6

2.7

(23.3–33.9)

Citrus County, Florida

503

25.2

2.6

(20.2–30.2)

Clay County, Florida

456

26.1

2.5

(21.2–31.0)

Collier County, Florida

498

23.9

3.5

(17.1–30.7)

Columbia County, Florida

533

31.3

2.8

(25.9–36.7)

DeSoto County, Florida

473

35.9

4.3

(27.4–44.4)

Duval County, Florida

521

26.5

2.5

(21.6–31.4)

Escambia County, Florida

494

31.7

3.4

(25.1–38.3)

Gadsden County, Florida

481

38.3

3.8

(30.8–45.8)

Gilchrist County, Florida

399

24.2

3.9

(16.6–31.8)

Hardee County, Florida

492

42.1

3.9

(34.4–49.8)

Hernando County, Florida

464

30.5

3.3

(24.0–37.0)

Highlands County, Florida

497

29.6

3.2

(23.3–35.9)

Hillsborough County, Florida

489

24.4

2.6

(19.2–29.6)

Jefferson County, Florida

473

35.2

3.7

(27.9–42.5)

Lake County, Florida

576

28.2

2.6

(23.0–33.4)

Lee County, Florida

482

26.8

2.9

(21.1–32.5)

Leon County, Florida

476

22.7

2.7

(17.4–28.0)

Manatee County, Florida

504

23.7

2.6

(18.6–28.8)

Marion County, Florida

562

35.3

2.8

(29.7–40.9)

Martin County, Florida

507

22.2

2.7

(16.8–27.6)

Miami-Dade County, Florida

484

28.3

2.7

(23.0–33.6)


TABLE 51. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

496

17.1

2.3

(12.6–21.6)

Nassau County, Florida

509

22.7

3.1

(16.6–28.8)

Orange County, Florida

946

28.0

2.1

(23.9–32.1)

Osceola County, Florida

526

33.9

3.2

(27.5–40.3)

Palm Beach County, Florida

529

20.5

2.6

(15.3–25.7)

Pasco County, Florida

519

31.4

3.3

(25.0–37.8)

Pinellas County, Florida

481

23.4

2.8

(17.9–28.9)

Polk County, Florida

492

36.8

3.0

(30.9–42.7)

St. Johns County, Florida

508

21.2

2.6

(16.1–26.3)

St. Lucie County, Florida

480

31.3

2.9

(25.6–37.0)

Santa Rosa County, Florida

476

30.5

3.0

(24.7–36.3)

Sarasota County, Florida

586

20.5

2.4

(15.8–25.2)

Seminole County, Florida

463

25.4

2.8

(19.9–30.9)

Volusia County, Florida

822

27.9

2.7

(22.7–33.1)

Wakulla County, Florida

505

37.7

3.6

(30.6–44.8)

Cobb County, Georgia

241

26.9

3.5

(19.9–33.9)

DeKalb County, Georgia

325

30.4

3.6

(23.4–37.4)

Fulton County, Georgia

315

21.3

3.2

(15.1–27.5)

Gwinnett County, Georgia

235

27.4

3.8

(20.0–34.8)

Hawaii County, Hawaii

1,449

27.1

1.7

(23.8–30.4)

Honolulu County, Hawaii

2,860

22.5

1.1

(20.3–24.7)

Kauai County, Hawaii

634

24.2

2.5

(19.2–29.2)

Maui County, Hawaii

1,428

27.2

2.0

(23.3–31.1)

Ada County, Idaho

811

24.2

2.2

(19.9–28.5)

Bonneville County, Idaho

488

30.0

2.8

(24.5–35.5)

Canyon County, Idaho

572

28.5

2.3

(23.9–33.1)

Kootenai County, Idaho

547

25.2

2.8

(19.7–30.7)

Nez Perce County, Idaho

360

29.5

3.0

(23.7–35.3)

Twin Falls County, Idaho

403

28.9

3.3

(22.5–35.3)

Cook County, Illinois

2,793

28.1

1.3

(25.6–30.6)

DuPage County, Illinois

247

26.3

3.4

(19.6–33.0)

Allen County, Indiana

551

34.9

2.6

(29.7–40.1)

Lake County, Indiana

949

32.7

2.6

(27.6–37.8)

Marion County, Indiana

1,370

32.6

2.1

(28.4–36.8)

Linn County, Iowa

473

25.0

2.5

(20.0–30.0)

Polk County, Iowa

722

25.0

2.0

(21.0–29.0)

Johnson County, Kansas

1,354

24.7

1.5

(21.8–27.6)

Sedgwick County, Kansas

1,366

28.2

1.6

(25.0–31.4)

Shawnee County, Kansas

594

36.0

2.7

(30.7–41.3)

Wyandotte County, Kansas

561

39.6

3.0

(33.8–45.4)

Jefferson County, Kentucky

386

29.7

2.9

(24.0–35.4)

Caddo Parish, Louisiana

423

30.1

3.0

(24.2–36.0)

East Baton Rouge Parish, Louisiana

685

36.1

2.5

(31.1–41.1)

Jefferson Parish, Louisiana

564

37.6

2.8

(32.1–43.1)

Orleans Parish, Louisiana

359

31.7

3.5

(24.8–38.6)

St. Tammany Parish, Louisiana

349

31.7

3.8

(24.3–39.1)

Androscoggin County, Maine

483

28.2

2.5

(23.3–33.1)

Cumberland County, Maine

1,324

20.8

1.6

(17.8–23.8)

Kennebec County, Maine

627

30.1

2.5

(25.2–35.0)

Penobscot County, Maine

662

34.0

2.3

(29.5–38.5)

Sagadahoc County, Maine

284

25.0

3.1

(18.8–31.2)

York County, Maine

903

28.9

1.9

(25.2–32.6)

Anne Arundel County, Maryland

574

29.8

2.5

(25.0–34.6)

Baltimore County, Maryland

983

30.2

2.1

(26.1–34.3)

Cecil County, Maryland

259

39.9

3.9

(32.3–47.5)

Charles County, Maryland

330

32.3

3.1

(26.2–38.4)

Frederick County, Maryland

534

25.6

2.6

(20.5–30.7)

Harford County, Maryland

267

29.3

3.3

(22.8–35.8)

Howard County, Maryland

330

20.3

2.6

(15.1–25.5)

Montgomery County, Maryland

991

19.4

1.8

(16.0–22.8)

Prince George´s County, Maryland

738

35.8

2.3

(31.3–40.3)

Queen Anne´s County, Maryland

277

25.0

3.4

(18.4–31.6)

Washington County, Maryland

374

35.3

3.5

(28.5–42.1)


TABLE 51. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

506

30.3

2.8

(24.9–35.7)

Bristol County, Massachusetts

2,670

27.5

1.8

(24.0–31.0)

Essex County, Massachusetts

1,959

22.6

1.7

(19.2–26.0)

Hampden County, Massachusetts

1,459

26.3

2.1

(22.2–30.4)

Hampshire County, Massachusetts

256

22.8

3.8

(15.3–30.3)

Middlesex County, Massachusetts

2,791

21.0

1.2

(18.7–23.3)

Norfolk County, Massachusetts

797

20.8

1.8

(17.3–24.3)

Plymouth County, Massachusetts

632

21.1

2.0

(17.3–24.9)

Suffolk County, Massachusetts

1,623

21.7

1.7

(18.3–25.1)

Worcester County, Massachusetts

1,940

26.6

1.6

(23.4–29.8)

Kent County, Michigan

419

29.1

2.9

(23.3–34.9)

Macomb County, Michigan

496

33.3

2.9

(27.5–39.1)

Oakland County, Michigan

898

28.1

2.1

(23.9–32.3)

Wayne County, Michigan

1,808

34.4

1.7

(31.0–37.8)

Anoka County, Minnesota

358

33.7

3.7

(26.4–41.0)

Dakota County, Minnesota

545

24.3

2.6

(19.3–29.3)

Hennepin County, Minnesota

1,923

20.4

1.8

(16.9–23.9)

Ramsey County, Minnesota

861

24.9

3.2

(18.7–31.1)

Washington County, Minnesota

238

26.5

3.9

(18.8–34.2)

DeSoto County, Mississippi

355

32.0

3.8

(24.5–39.5)

Hinds County, Mississippi

320

39.1

3.9

(31.4–46.8)

Jackson County, Missouri

497

33.1

2.7

(27.9–38.3)

St. Louis County, Missouri

573

31.8

3.2

(25.5–38.1)

St. Louis city, Missouri

605

33.9

2.9

(28.2–39.6)

Flathead County, Montana

677

18.7

2.1

(14.6–22.8)

Lewis and Clark County, Montana

512

23.0

2.4

(18.3–27.7)

Yellowstone County, Montana

468

28.1

2.8

(22.7–33.5)

Adams County, Nebraska

457

28.7

3.1

(22.7–34.7)

Dakota County, Nebraska

705

31.6

2.3

(27.1–36.1)

Douglas County, Nebraska

908

24.6

1.9

(20.9–28.3)

Hall County, Nebraska

561

28.1

2.7

(22.8–33.4)

Lancaster County, Nebraska

819

31.8

2.6

(26.7–36.9)

Lincoln County, Nebraska

535

32.0

3.2

(25.8–38.2)

Madison County, Nebraska

441

31.9

3.5

(25.1–38.7)

Sarpy County, Nebraska

549

26.9

2.7

(21.6–32.2)

Scotts Bluff County, Nebraska

710

33.0

2.6

(28.0–38.0)

Seward County, Nebraska

278

27.2

3.3

(20.7–33.7)

Clark County, Nevada

1,218

23.5

1.6

(20.3–26.7)

Washoe County, Nevada

1,238

21.3

1.4

(18.5–24.1)

Grafton County, New Hampshire

499

22.3

2.3

(17.7–26.9)

Hillsborough County, New Hampshire

1,357

25.6

1.6

(22.4–28.8)

Merrimack County, New Hampshire

615

22.7

2.4

(18.0–27.4)

Rockingham County, New Hampshire

971

26.4

1.8

(22.8–30.0)

Strafford County, New Hampshire

571

30.0

2.6

(24.9–35.1)

Atlantic County, New Jersey

858

27.0

2.0

(23.1–30.9)

Bergen County, New Jersey

573

23.6

2.4

(18.8–28.4)

Burlington County, New Jersey

529

29.3

2.7

(24.0–34.6)

Camden County, New Jersey

563

30.6

2.7

(25.3–35.9)

Cape May County, New Jersey

484

25.1

2.5

(20.1–30.1)

Essex County, New Jersey

932

28.1

2.2

(23.8–32.4)

Gloucester County, New Jersey

482

27.2

2.7

(21.8–32.6)

Hudson County, New Jersey

1,023

25.6

1.8

(22.0–29.2)

Hunterdon County, New Jersey

471

17.4

2.1

(13.3–21.5)

Mercer County, New Jersey

466

24.3

2.9

(18.6–30.0)

Middlesex County, New Jersey

586

23.4

2.3

(18.9–27.9)

Monmouth County, New Jersey

519

22.2

2.3

(17.7–26.7)

Morris County, New Jersey

646

22.6

2.1

(18.5–26.7)

Ocean County, New Jersey

486

28.3

2.5

(23.3–33.3)

Passaic County, New Jersey

468

24.4

2.5

(19.6–29.2)

Somerset County, New Jersey

503

19.7

2.1

(15.6–23.8)

Sussex County, New Jersey

465

23.2

2.4

(18.5–27.9)

Union County, New Jersey

481

20.6

2.2

(16.2–25.0)

Warren County, New Jersey

450

23.5

2.5

(18.6–28.4)


TABLE 51. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

1,211

21.8

1.8

(18.4–25.2)

Dona Ana County, New Mexico

461

29.6

3.1

(23.5–35.7)

Sandoval County, New Mexico

499

22.7

2.9

(16.9–28.5)

San Juan County, New Mexico

653

34.0

2.9

(28.3–39.7)

Santa Fe County, New Mexico

585

21.1

2.6

(16.0–26.2)

Valencia County, New Mexico

337

29.0

3.4

(22.4–35.6)

Bronx County, New York

406

25.2

2.6

(20.1–30.3)

Erie County, New York

447

28.2

2.9

(22.6–33.8)

Kings County, New York

854

26.3

2.0

(22.4–30.2)

Monroe County, New York

357

28.8

3.2

(22.6–35.0)

Nassau County, New York

451

18.3

2.2

(13.9–22.7)

New York County, New York

984

14.4

1.5

(11.5–17.3)

Queens County, New York

743

20.6

2.0

(16.7–24.5)

Suffolk County, New York

562

25.3

2.5

(20.3–30.3)

Westchester County, New York

360

13.3

2.1

(9.2–17.4)

Buncombe County, North Carolina

244

28.7

4.0

(20.8–36.6)

Cabarrus County, North Carolina

293

36.6

3.9

(29.0–44.2)

Catawba County, North Carolina

285

24.2

3.2

(17.9–30.5)

Durham County, North Carolina

594

27.1

2.4

(22.4–31.8)

Gaston County, North Carolina

251

25.6

4.0

(17.8–33.4)

Guilford County, North Carolina

654

29.0

2.5

(24.1–33.9)

Johnston County, North Carolina

251

35.9

3.8

(28.4–43.4)

Mecklenburg County, North Carolina

563

28.0

2.6

(22.9–33.1)

Orange County, North Carolina

281

18.6

2.7

(13.3–23.9)

Randolph County, North Carolina

375

28.9

3.2

(22.6–35.2)

Union County, North Carolina

323

23.8

3.0

(18.0–29.6)

Wake County, North Carolina

666

23.8

2.1

(19.7–27.9)

Burleigh County, North Dakota

530

23.6

2.4

(19.0–28.2)

Cass County, North Dakota

725

26.4

2.4

(21.6–31.2)

Ward County, North Dakota

430

29.6

2.7

(24.2–35.0)

Cuyahoga County, Ohio

666

26.1

2.1

(21.9–30.3)

Franklin County, Ohio

639

31.3

2.6

(26.3–36.3)

Hamilton County, Ohio

680

30.0

2.4

(25.3–34.7)

Lucas County, Ohio

684

30.8

2.3

(26.3–35.3)

Mahoning County, Ohio

694

30.5

2.5

(25.5–35.5)

Montgomery County, Ohio

659

32.3

2.7

(26.9–37.7)

Stark County, Ohio

683

29.6

2.3

(25.1–34.1)

Summit County, Ohio

668

29.0

2.7

(23.7–34.3)

Cleveland County, Oklahoma

418

28.5

2.8

(23.1–33.9)

Oklahoma County, Oklahoma

1,366

30.5

1.6

(27.3–33.7)

Tulsa County, Oklahoma

1,422

30.6

1.6

(27.5–33.7)

Clackamas County, Oregon

419

28.5

2.8

(22.9–34.1)

Lane County, Oregon

490

31.6

3.4

(24.9–38.3)

Multnomah County, Oregon

777

26.4

2.4

(21.8–31.0)

Washington County, Oregon

549

24.4

2.4

(19.7–29.1)

Allegheny County, Pennsylvania

1,308

30.3

1.7

(27.0–33.6)

Lehigh County, Pennsylvania

271

34.5

3.4

(27.8–41.2)

Luzerne County, Pennsylvania

298

31.7

3.7

(24.4–39.0)

Montgomery County, Pennsylvania

329

23.7

3.1

(17.6–29.8)

Northampton County, Pennsylvania

247

25.4

3.5

(18.5–32.3)

Philadelphia County, Pennsylvania

1,329

33.0

1.8

(29.4–36.6)

Westmoreland County, Pennsylvania

318

32.2

3.4

(25.5–38.9)

Bristol County, Rhode Island

265

22.9

3.5

(16.1–29.7)

Kent County, Rhode Island

895

27.5

2.0

(23.6–31.4)

Newport County, Rhode Island

468

19.8

2.3

(15.4–24.2)

Providence County, Rhode Island

3,949

29.5

1.1

(27.3–31.7)

Washington County, Rhode Island

720

20.6

2.3

(16.1–25.1)

Aiken County, South Carolina

452

33.2

2.8

(27.7–38.7)

Beaufort County, South Carolina

645

20.6

2.2

(16.3–24.9)

Berkeley County, South Carolina

337

NA

NA

NA

Charleston County, South Carolina

637

23.8

2.7

(18.5–29.1)

Greenville County, South Carolina

472

34.2

3.6

(27.1–41.3)

Horry County, South Carolina

527

27.1

2.9

(21.3–32.9)


TABLE 51. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

637

31.2

3.6

(24.2–38.2)

Minnehaha County, South Dakota

566

27.3

2.6

(22.2–32.4)

Pennington County, South Dakota

632

25.4

2.3

(21.0–29.8)

Davidson County, Tennessee

387

27.4

3.3

(21.0–33.8)

Hamilton County, Tennessee

358

26.6

3.3

(20.1–33.1)

Knox County, Tennessee

354

32.1

3.8

(24.7–39.5)

Shelby County, Tennessee

374

36.0

3.6

(29.0–43.0)

Sullivan County, Tennessee

436

36.9

3.4

(30.2–43.6)

Bexar County, Texas

923

33.2

2.2

(28.9–37.5)

Dallas County, Texas

365

32.6

3.6

(25.5–39.7)

El Paso County, Texas

801

28.9

2.1

(24.7–33.1)

Fort Bend County, Texas

883

26.0

2.1

(21.8–30.2)

Harris County, Texas

1,368

31.5

1.8

(28.1–34.9)

Hidalgo County, Texas

537

35.9

2.7

(30.6–41.2)

Lubbock County, Texas

709

31.5

3.0

(25.6–37.4)

Midland County, Texas

493

24.8

2.6

(19.7–29.9)

Potter County, Texas

322

34.4

3.6

(27.4–41.4)

Randall County, Texas

444

25.1

3.0

(19.3–30.9)

Smith County, Texas

637

26.6

2.8

(21.1–32.1)

Tarrant County, Texas

565

30.0

2.9

(24.3–35.7)

Travis County, Texas

709

26.4

4.9

(16.9–35.9)

Val Verde County, Texas

499

37.2

3.3

(30.8–43.6)

Webb County, Texas

824

33.8

2.1

(29.8–37.8)

Wichita County, Texas

639

31.1

2.7

(25.7–36.5)

Davis County, Utah

814

24.7

1.9

(21.0–28.4)

Salt Lake County, Utah

3,079

25.0

1.0

(23.0–27.0)

Summit County, Utah

429

17.4

2.4

(12.7–22.1)

Tooele County, Utah

535

24.9

2.4

(20.2–29.6)

Utah County, Utah

1,031

23.5

1.7

(20.1–26.9)

Weber County, Utah

718

29.3

2.2

(25.0–33.6)

Chittenden County, Vermont

1,368

20.3

1.5

(17.4–23.2)

Franklin County, Vermont

462

27.4

2.3

(22.8–32.0)

Orange County, Vermont

342

30.8

3.0

(25.0–36.6)

Rutland County, Vermont

620

32.3

2.4

(27.5–37.1)

Washington County, Vermont

644

22.2

2.1

(18.1–26.3)

Windsor County, Vermont

648

23.7

2.2

(19.3–28.1)

Benton County, Washington

364

33.8

3.1

(27.8–39.8)

Clark County, Washington

1,022

28.7

2.0

(24.8–32.6)

Franklin County, Washington

225

31.0

4.9

(21.4–40.6)

King County, Washington

2,888

21.9

1.1

(19.8–24.0)

Kitsap County, Washington

870

30.3

2.0

(26.3–34.3)

Pierce County, Washington

1,605

30.7

1.5

(27.7–33.7)

Snohomish County, Washington

1,537

28.0

1.5

(25.0–31.0)

Spokane County, Washington

1,148

25.5

1.6

(22.3–28.7)

Thurston County, Washington

730

25.7

2.1

(21.6–29.8)

Yakima County, Washington

667

32.6

2.5

(27.7–37.5)

Kanawha County, West Virginia

458

34.1

3.3

(27.7–40.5)

Milwaukee County, Wisconsin

1,116

26.8

2.4

(22.1–31.5)

Laramie County, Wyoming

857

27.5

2.1

(23.4–31.6)

Natrona County, Wyoming

733

28.4

2.3

(23.9–32.9)

Median

27.4

Range

13.3-42.1

Abbreviations: SE = standard error; CI = confidence interval.

* Body mass index ≥30.0 kg/m².

Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 52. Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

7,623

8.0

0.4

(7.1–8.8)

Alaska

1,941

10.0

1.2

(7.7–12.3)

Arizona

5,711

10.3

0.7

(8.9–11.8)

Arkansas

3,994

7.8

0.7

(6.5–9.1)

California

17,741

7.7

0.3

(7.1–8.2)

Colorado

11,571

9.2

0.4

(8.3–10.0)

Connecticut

6,727

9.2

0.5

(8.1–10.2)

Delaware

4,225

10.0

0.7

(8.7–11.3)

District of Columbia

3,940

10.4

0.7

(9.0–11.7)

Florida

34,814

8.3

0.4

(7.6–9.0)

Georgia

5,762

7.8

0.5

(6.7–8.8)

Hawaii

6,497

9.4

0.5

(8.3–10.4)

Idaho

6,954

8.8

0.5

(7.8–9.7)

Illinois

5,190

9.2

0.6

(8.0–10.4)

Indiana

10,156

9.5

0.4

(8.7–10.4)

Iowa

6,071

7.8

0.5

(6.9–8.8)

Kansas

8,509

8.6

0.5

(7.7–9.5)

Kentucky

7,995

10.4

0.6

(9.3–11.5)

Louisiana

6,993

6.7

0.5

(5.7–7.6)

Maine

8,069

10.0

0.5

(9.1–10.9)

Maryland

9,137

8.4

0.5

(7.4–9.3)

Massachusetts

16,215

10.4

0.4

(9.6–11.1)

Michigan

8,821

10.5

0.5

(9.5–11.4)

Minnesota

8,925

7.6

0.6

(6.4–8.8)

Mississippi

8,045

7.2

0.4

(6.5–8.0)

Missouri

5,400

8.8

0.6

(7.6–10.0)

Montana

7,256

9.1

0.6

(8.0–10.3)

Nebraska

16,304

7.8

0.5

(6.9–8.7)

Nevada

3,882

9.2

0.8

(7.6–10.9)

New Hampshire

5,997

10.4

0.5

(9.3–11.4)

New Jersey

12,370

8.7

0.4

(8.0–9.5)

New Mexico

6,960

9.7

0.6

(8.5–10.9)

New York

8,870

9.8

0.4

(9.0–10.7)

North Carolina

12,072

7.5

0.4

(6.7–8.2)

North Dakota

4,720

7.4

0.6

(6.3–8.6)

Ohio

9,781

9.6

0.5

(8.7–10.6)

Oklahoma

7,694

9.5

0.5

(8.6–10.4)

Oregon

5,013

9.5

0.6

(8.3–10.8)

Pennsylvania

11,149

9.9

0.4

(9.1–10.7)

Rhode Island

6,560

10.9

0.6

(9.7–12.1)

South Carolina

9,352

8.3

0.6

(7.1–9.5)

South Dakota

6,667

7.5

0.5

(6.5–8.6)

Tennessee

5,752

6.0

0.5

(4.9–7.0)

Texas

17,948

7.4

0.4

(6.6–8.2)

Utah

10,090

9.1

0.5

(8.1–10.0)

Vermont

6,754

11.1

0.5

(10.1–12.2)

Virginia

5,354

8.4

0.7

(7.0–9.8)

Washington

19,444

9.6

0.3

(9.0–10.2)

West Virginia

4,385

7.3

0.5

(6.3–8.2)

Wisconsin

4,759

8.3

0.6

(7.1–9.5)

Wyoming

5,796

9.8

0.6

(8.7–10.9)

Guam

779

5.2

1.1

(3.1–7.3)

Puerto Rico

3,537

7.5

0.6

(6.3–8.7)

Virgin Islands

1,813

5.9

0.8

(4.4–7.5)

Median

9.0

Range

5.2–11.1

Abbreviations: SE = standard error; CI = confidence interval.

* Defined as ever been told by a health professional that the respondent had asthma and reporting that they still have asthma.


TABLE 53. Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

803

9.1

1.2

(6.7–11.4)

Albuquerque, New Mexico

2,186

9.5

1.1

(7.3–11.6)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

1,081

10.0

1.5

(7.0–12.9)

Amarillo, Texas

818

10.0

1.6

(6.8–13.1)

Arcadia, Florida

495

12.4

2.7

(7.1–17.6)

Asheville, North Carolina

547

10.7

2.2

(6.3–15.0)

Atlanta-Sandy Springs-Marietta, Georgia

2,338

8.9

1.3

(6.3–11.4)

Atlantic City, New Jersey

919

8.3

1.6

(5.1–11.4)

Augusta-Richmond County, Georgia-South Carolina

869

9.4

1.4

(6.6–12.1)

Augusta-Waterville, Maine

648

11.9

2.0

(7.9–15.8)

Austin-Round Rock, Texas

967

7.0

1.4

(4.2–9.7)

Baltimore-Towson, Maryland

3,327

8.9

0.7

(7.5–10.2)

Bangor, Maine

688

11.2

1.5

(8.2–14.1)

Barre, Vermont

667

7.3

1.2

(4.9–9.6)

Baton Rouge, Louisiana

1,189

4.9

0.9

(3.1–6.6)

Bethesda-Gaithersburg-Frederick, Maryland

1,628

6.4

0.8

(4.8–7.9)

Billings, Montana

532

10.4

2.1

(6.2–14.5)

Birmingham-Hoover, Alabama

1,193

8.3

1.0

(6.3–10.2)

Bismarck, North Dakota

762

6.3

1.5

(3.3–9.2)

Boise City-Nampa, Idaho

1,648

10.8

1.1

(8.6–12.9)

Boston-Quincy, Massachusetts

3,290

9.6

0.7

(8.2–10.9)

Bremerton-Silverdale, Washington

913

12.2

1.5

(9.2–15.1)

Bridgeport-Stamford-Norwalk, Connecticut

2,167

8.3

1.0

(6.3–10.2)

Buffalo-Cheektowaga-Tonawanda, New York

606

12.1

2.3

(7.5–16.6)

Burlington-South Burlington, Vermont

1,990

10.6

1.1

(8.4–12.7)

Cambridge-Newton-Framingham, Massachusetts

3,006

9.9

1.1

(7.7–12.0)

Camden, New Jersey

1,686

10.2

1.1

(8.0–12.3)

Canton-Massillon, Ohio

742

7.1

1.2

(4.7–9.4)

Cape Coral-Fort Myers, Florida

512

13.9

4.3

(5.4–22.3)

Casper, Wyoming

766

10.0

1.5

(7.0–12.9)

Cedar Rapids, Iowa

555

9.0

2.0

(5.0–12.9)

Charleston, West Virginia

768

6.9

1.1

(4.7–9.0)

Charleston-North Charleston, South Carolina

1,147

5.5

0.8

(3.9–7.0)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,700

6.0

0.7

(4.6–7.3)

Chattanooga, Tennessee-Georgia

536

5.5

1.5

(2.5–8.4)

Cheyenne, Wyoming

905

11.0

1.4

(8.2–13.7)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

5,001

8.9

0.7

(7.5–10.2)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,784

10.9

1.3

(8.3–13.4)

Cleveland-Elyria-Mentor, Ohio

1,094

8.8

1.2

(6.4–11.1)

Coeur d´Alene, Idaho

564

7.4

1.3

(4.8–9.9)

Colorado Springs, Colorado

1,154

9.1

1.1

(6.9–11.2)

Columbia, South Carolina

1,135

7.5

1.3

(4.9–10.0)

Columbus, Ohio

1,382

10.1

1.2

(7.7–12.4)

Concord, New Hampshire

634

11.6

1.9

(7.8–15.3)

Dallas-Plano-Irving, Texas

714

8.4

1.7

(5.0–11.7)

Dayton, Ohio

844

9.4

1.8

(5.8–12.9)

Del Rio, Texas

558

5.0

1.0

(3.0–6.9)

Deltona-Daytona Beach-Ormond Beach, Florida

858

10.0

2.2

(5.6–14.3)

Denver-Aurora, Colorado

4,813

9.9

0.6

(8.7–11.0)

Des Moines-West Des Moines, Iowa

1,002

8.7

1.3

(6.1–11.2)

Detroit-Livonia-Dearborn, Michigan

1,898

12.1

1.2

(9.7–14.4)

Dover, Delaware

1,248

10.7

1.2

(8.3–13.0)

Durham, North Carolina

1,029

9.9

1.6

(6.7–13.0)

Edison, New Jersey

2,264

9.1

0.9

(7.3–10.8)

El Paso, Texas

867

5.8

0.9

(4.0–7.5)

Eugene-Springfield, Oregon

507

10.3

2.0

(6.3–14.2)

Evansville, Indiana-Kentucky

532

10.0

1.7

(6.6–13.3)

Fargo, North Dakota-Minnesota

828

5.0

1.3

(2.4–7.5)

Farmington, New Mexico

684

11.7

2.0

(7.7–15.6)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

694

10.3

2.2

(5.9–14.6)

Fort Collins-Loveland, Colorado

557

8.4

2.0

(4.4–12.3)

Fort Wayne, Indiana

719

10.0

1.5

(7.0–12.9)

Fort Worth-Arlington, Texas

734

10.2

2.0

(6.2–14.1)


TABLE 53. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

946

6.9

1.4

(4.1–9.6)

Grand Island, Nebraska

860

6.2

1.0

(4.2–8.1)

Grand Rapids-Wyoming, Michigan

618

8.2

1.5

(5.2–11.1)

Greensboro-High Point, North Carolina

1,155

7.9

1.4

(5.1–10.6)

Greenville, South Carolina

772

9.4

2.0

(5.4–13.3)

Hagerstown-Martinsburg, Maryland-West Virginia

643

8.3

1.4

(5.5–11.0)

Hartford-West Hartford-East Hartford, Connecticut

2,008

9.0

0.8

(7.4–10.5)

Hastings, Nebraska

583

10.2

2.2

(5.8–14.5)

Helena, Montana

641

9.3

1.7

(5.9–12.6)

Hickory-Morganton-Lenoir, North Carolina

597

6.6

1.1

(4.4–8.7)

Hilo, Hawaii

1,464

12.2

1.2

(9.8–14.5)

Hilton Head Island-Beaufort, South Carolina

794

4.5

0.9

(2.7–6.2)

Homosassa Springs, Florida

533

10.0

1.8

(6.4–13.5)

Honolulu, Hawaii

2,933

9.0

0.7

(7.6–10.3)

Houston-Sugar Land-Baytown, Texas

2,727

4.9

0.6

(3.7–6.0)

Huntington-Ashland, West Virginia-Kentucky-Ohio

652

12.0

1.7

(8.6–15.3)

Idaho Falls, Idaho

662

7.7

1.2

(5.3–10.0)

Indianapolis-Carmel, Indiana

2,241

10.5

1.0

(8.5–12.4)

Jackson, Mississippi

756

6.3

1.1

(4.1–8.4)

Jacksonville, Florida

2,571

10.1

1.4

(7.3–12.8)

Kahului-Wailuku, Hawaii

1,457

10.7

1.3

(8.1–13.2)

Kalispell, Montana

697

8.6

1.4

(5.8–11.3)

Kansas City, Missouri-Kansas

3,367

9.9

0.9

(8.1–11.6)

Kapaa, Hawaii

643

5.4

1.0

(3.4–7.3)

Kennewick-Richland-Pasco, Washington

644

8.1

1.3

(5.5–10.6)

Key West-Marathon, Florida

502

5.8

1.8

(2.2–9.3)

Kingsport-Bristol, Tennessee-Virginia

652

7.9

1.7

(4.5–11.2)

Knoxville, Tennessee

527

5.2

1.1

(3.0–7.3)

Lake City, Florida

557

11.0

2.1

(6.8–15.1)

Lakeland-Winter Haven, Florida

518

9.6

1.9

(5.8–13.3)

Laredo, Texas

918

3.4

0.6

(2.2–4.5)

Las Cruces, New Mexico

498

8.9

1.9

(5.1–12.6)

Las Vegas-Paradise, Nevada

1,258

9.3

1.1

(7.1–11.4)

Lebanon, New Hampshire-Vermont

1,540

12.1

1.2

(9.7–14.4)

Lewiston, Idaho-Washington

600

12.3

1.9

(8.5–16.0)

Lewiston-Auburn, Maine

497

9.1

1.5

(6.1–12.0)

Lincoln, Nebraska

1,128

9.9

1.4

(7.1–12.6)

Little Rock-North Little Rock, Arkansas

817

8.2

1.5

(5.2–11.1)

Los Angeles-Long Beach-Glendale, California

2,616

6.4

0.6

(5.2–7.5)

Louisville, Kentucky-Indiana

901

9.8

1.3

(7.2–12.3)

Lubbock, Texas

774

8.4

1.3

(5.8–10.9)

Manchester-Nashua, New Hampshire

1,420

10.5

1.1

(8.3–12.6)

McAllen-Edinburg-Mission, Texas

594

5.2

1.3

(2.6–7.7)

Memphis, Tennessee-Mississippi-Arkansas

1,150

6.4

1.1

(4.2–8.5)

Miami-Fort Lauderdale-Miami Beach, Florida

1,027

7.7

1.4

(4.9–10.4)

Midland, Texas

521

12.4

2.2

(8.0–16.7)

Milwaukee-Waukesha-West Allis, Wisconsin

1,527

9.3

1.1

(7.1–11.4)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

4,846

8.2

0.9

(6.4–9.9)

Minot, North Dakota

551

9.3

1.8

(5.7–12.8)

Mobile, Alabama

678

6.9

1.1

(4.7–9.0)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

552

10.1

1.8

(6.5–13.6)

Naples-Marco Island, Florida

518

7.3

1.8

(3.7–10.8)

Nashville-Davidson-Murfreesboro, Tennessee

829

5.6

1.3

(3.0–8.1)

Nassau-Suffolk, New York*

1,060

7.2

1.1

(5.0–9.3)

Newark-Union, New Jersey-Pennsylvania

3,309

7.5

0.6

(6.3–8.6)

New Haven-Milford, Connecticut

1,665

11.3

1.3

(8.7–13.8)

New Orleans-Metairie-Kenner, Louisiana

1,529

7.1

1.0

(5.1–9.0)

New York-White Plains-Wayne, New York-New Jersey

6,161

9.9

0.5

(8.9–10.8)

Norfolk, Nebraska

672

4.3

0.9

(2.5–6.0)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

575

1,125

12.9

6.1

2.6

0.9

(7.8–17.9)

(4.3 – 7.8)

Ocala, Florida

586

8.8

1.5

(5.8–11.7)

Ocean City, New Jersey

519

6.5

1.4

(3.7–9.2)


TABLE 53. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

1,692

7.5

0.8

(5.9–9.0)

Oklahoma City, Oklahoma

2,461

8.9

0.7

(7.5–10.2)

Olympia, Washington

771

11.4

1.5

(8.4–14.3)

Omaha-Council Bluffs, Nebraska-Iowa

2,353

7.9

0.8

(6.3–9.4)

Orlando-Kissimmee, Florida

2,656

8.6

0.8

(7.0–10.1)

Palm Bay-Melbourne-Titusville, Florida

522

8.5

1.4

(5.7–11.2)

Panama City-Lynn Haven, Florida

Peabody, Massachusetts

539

2,125

7.6

10.4

1.5

1.3

(4.6–10.5)

(7.8 – 12.9)

Pensacola-Ferry Pass-Brent, Florida

1,011

10.4

1.3

(7.8–12.9)

Philadelphia, Pennsylvania

2,353

10.8

1.0

(8.8–12.7)

Phoenix-Mesa-Scottsdale, Arizona

1,677

9.6

1.1

(7.4–11.7)

Pittsburgh, Pennsylvania

2,405

9.7

0.9

(7.9–11.4)

Portland-South Portland-Biddeford, Maine

2,614

9.3

0.8

(7.7–10.8)

Portland-Vancouver-Beaverton, Oregon-Washington

3,381

8.5

0.8

(6.9–10.0)

Port St. Lucie-Fort Pierce, Florida

1,017

8.8

1.2

(6.4–11.1)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

9,475

10.7

0.6

(9.5–11.8)

Provo-Orem, Utah

1,169

10.7

1.8

(7.1–14.2)

Raleigh-Cary, North Carolina

1,020

5.6

1.0

(3.6–7.5)

Rapid City, South Dakota

837

6.3

0.9

(4.5–8.0)

Reno-Sparks, Nevada

1,315

8.1

1.0

(6.1–10.0)

Richmond, Virginia

796

7.0

1.3

(4.4–9.5)

Riverside-San Bernardino-Ontario, California

1,871

6.6

0.7

(5.2–7.9)

Rochester, New York

566

7.1

1.4

(4.3–9.8)

Rockingham County-Strafford County, New Hampshire

1,591

9.6

1.0

(7.6–11.5)

Rutland, Vermont

654

14.5

2.0

(10.5–18.4)

Sacramento-Arden-Arcade-Roseville, California

1,292

8.6

1.0

(6.6–10.5)

St. Louis, Missouri-Illinois

1,744

9.4

1.1

(7.2–11.5)

Salt Lake City, Utah

4,281

10.1

0.7

(8.7–11.4)

San Antonio, Texas

1,119

6.1

0.9

(4.3–7.8)

San Diego-Carlsbad-San Marcos, California

1,693

7.7

0.9

(5.9–9.4)

San Francisco-Oakland-Fremont, California

2,353

8.2

0.7

(6.8–9.5)

San Jose-Sunnyvale-Santa Clara, California

912

7.0

1.0

(5.0–8.9)

Santa Ana-Anaheim-Irvine, California

1,445

6.5

0.8

(4.9–8.0)

Santa Fe, New Mexico

607

9.2

1.9

(5.4–12.9)

Scottsbluff, Nebraska

758

5.8

1.4

(3.0–8.5)

Scranton-Wilkes-Barre, Pennsylvania

552

8.6

1.6

(5.4–11.7)

Seaford, Delaware

1,235

10.8

1.2

(8.4–13.1)

Seattle-Bellevue-Everett, Washington

4,656

8.9

0.6

(7.7–10.0)

Sebring, Florida

515

9.1

2.0

(5.1–13.0)

Shreveport-Bossier City, Louisiana

678

7.5

1.9

(3.7–11.2)

Sioux City, Iowa-Nebraska-South Dakota

1,215

5.7

1.0

(3.7–7.6)

Sioux Falls, South Dakota

830

6.8

1.2

(4.4–9.1)

Spokane, Washington

1,204

12.5

1.5

(9.5–15.4)

Springfield, Massachusetts

2,044

12.3

1.9

(8.5–16.0)

Tacoma, Washington

1,711

10.4

1.0

(8.4–12.3)

Tallahassee, Florida

2,037

8.0

1.3

(5.4–10.5)

Tampa-St. Petersburg-Clearwater, Florida

2,021

9.4

1.0

(7.4–11.3)

Toledo, Ohio

857

12.1

1.5

(9.1–15.0)

Topeka, Kansas

826

7.4

1.1

(5.2–9.5)

Trenton-Ewing, New Jersey

501

7.4

1.6

(4.2–10.5)

Tucson, Arizona

692

12.5

2.0

(8.5–16.4)

Tulsa, Oklahoma

2,129

9.2

0.8

(7.6–10.7)

Tuscaloosa, Alabama

514

5.4

1.0

(3.4–7.3)

Twin Falls, Idaho

537

7.6

1.3

(5.0–10.1)

Tyler, Texas

670

9.7

2.4

(4.9–14.4)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

1,099

7.9

1.0

(5.9–9.8)

Warren-Troy-Farmington Hills, Michigan

1,794

9.6

1.0

(7.6–11.5)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia

6,404

10.2

1.2

(7.8–12.5)

Wauchula, Florida

524

7.9

1.5

(4.9–10.8)

West Palm Beach-Boca Raton-Boynton Beach, Florida

547

7.1

1.5

(4.1–10.0)

Wichita, Kansas

1,843

10.5

1.1

(8.3–12.6)

Wichita Falls, Texas

822

9.8

1.6

(6.6–12.9)

Wilmington, Delaware-Maryland-New Jersey

2,206

9.6

0.9

(7.8–11.3)


TABLE 53. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

2,094

14.0

1.6

(10.8–17.1)

Yakima, Washington

738

7.8

1.2

(5.4–10.1)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

1,058

8.4

1.5

(5.4–11.3)

Median

9.0

Range

3.4-14.5

Abbreviations: SE = standard error; CI = confidence interval.

* Defined as ever been told by a health professional that the respondent had asthma and reporting that they still have asthma.

Metropolitan division.


TABLE 54. Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

597

8.5

1.5

(5.5–11.4)

Mobile County, Alabama

678

6.9

1.1

(4.7–9.0)

Tuscaloosa County, Alabama

432

4.7

1.1

(2.5–6.8)

Maricopa County, Arizona

1,292

9.3

1.2

(6.9–11.6)

Pima County, Arizona

692

12.5

2.0

(8.5–16.4)

Pinal County, Arizona

385

13.3

2.7

(8.0–18.5)

Benton County, Arkansas

357

13.2

3.1

(7.1–19.2)

Pulaski County, Arkansas

555

8.6

1.9

(4.8–12.3)

Washington County, Arkansas

296

3.3

1.2

(0.9–5.6)

Alameda County, California

753

9.4

1.4

(6.6–12.1)

Contra Costa County, California

632

7.8

1.2

(5.4–10.1)

Los Angeles County, California

2,616

6.4

0.6

(5.2–7.5)

Orange County, California

1,445

6.5

0.8

(4.9–8.0)

Placer County, California

253

8.8

2.6

(3.7–13.8)

Riverside County, California

929

6.5

0.9

(4.7–8.2)

Sacramento County, California

752

8.4

1.2

(6.0–10.7)

San Bernardino County, California

942

6.5

0.9

(4.7–8.2)

San Diego County, California

1,693

7.7

0.9

(5.9–9.4)

San Francisco County, California

384

5.6

1.3

(3.0–8.1)

San Mateo County, California

385

11.0

2.0

(7.0–14.9)

Santa Clara County, California

874

7.0

1.0

(5.0–8.9)

Adams County, Colorado

804

9.6

1.6

(6.4–12.7)

Arapahoe County, Colorado

866

9.4

1.2

(7.0–11.7)

Denver County, Colorado

874

9.3

1.4

(6.5–12.0)

Douglas County, Colorado

578

12.7

2.1

(8.5–16.8)

El Paso County, Colorado

1,022

9.2

1.2

(6.8–11.5)

Jefferson County, Colorado

1,164

9.3

1.1

(7.1–11.4)

Larimer County, Colorado

557

8.4

2.0

(4.4–12.3)

Fairfield County, Connecticut

2,167

8.3

1.0

(6.3–10.2)

Hartford County, Connecticut

1,489

8.3

0.9

(6.5–10.0)

Middlesex County, Connecticut

264

12.5

2.4

(7.7–17.2)

New Haven County, Connecticut

1,665

11.3

1.3

(8.7–13.8)

Tolland County, Connecticut

255

10.6

2.5

(5.7–15.5)

Kent County, Delaware

1,248

10.7

1.2

(8.3–13.0)

New Castle County, Delaware

1,742

9.5

1.0

(7.5–11.4)

Sussex County, Delaware

1,235

10.8

1.2

(8.4–13.1)

District of Columbia, District of Columbia

3,940

10.6

0.8

(9.0–12.1)

Alachua County, Florida

531

7.4

1.6

(4.2–10.5)

Baker County, Florida

505

NA

NA

NA

Bay County, Florida

539

7.6

1.5

(4.6–10.5)

Brevard County, Florida

522

8.5

1.4

(5.7–11.2)

Broward County, Florida

524

8.3

1.8

(4.7–11.8)

Citrus County, Florida

533

10.0

1.8

(6.4–13.5)

Clay County, Florida

484

7.8

1.3

(5.2–10.3)

Collier County, Florida

518

7.3

1.8

(3.7–10.8)

Columbia County, Florida

557

11.0

2.1

(6.8–15.1)

DeSoto County, Florida

495

12.4

2.7

(7.1–17.6)

Duval County, Florida

546

10.8

2.2

(6.4–15.1)

Escambia County, Florida

517

10.0

1.8

(6.4–13.5)

Gadsden County, Florida

510

9.4

1.7

(6.0–12.7)

Gilchrist County, Florida

415

8.0

2.0

(4.0–11.9)

Hardee County, Florida

524

7.9

1.5

(4.9–10.8)

Hernando County, Florida

490

10.8

2.1

(6.6–14.9)

Highlands County, Florida

515

9.1

2.0

(5.1–13.0)

Hillsborough County, Florida

503

8.5

1.5

(5.5–11.4)

Jefferson County, Florida

501

9.7

2.1

(5.5–13.8)

Lake County, Florida

605

6.2

1.3

(3.6–8.7)

Lee County, Florida

512

13.9

4.3

(5.4–22.3)

Leon County, Florida

493

5.7

1.5

(2.7–8.6)

Manatee County, Florida

522

7.2

1.3

(4.6–9.7)

Marion County, Florida

586

8.8

1.5

(5.8–11.7)

Martin County, Florida

516

7.7

1.7

(4.3–11.0)

Miami-Dade County, Florida

503

7.1

1.9

(3.3–10.8)


TABLE 54. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

502

5.8

1.8

(2.2–9.3)

Nassau County, Florida

516

6.0

1.4

(3.2–8.7)

Orange County, Florida

998

9.9

1.4

(7.1–12.6)

Osceola County, Florida

569

11.3

2.3

(6.7–15.8)

Palm Beach County, Florida

547

7.1

1.5

(4.1–10.0)

Pasco County, Florida

535

10.5

2.0

(6.5–14.4)

Pinellas County, Florida

493

9.9

2.2

(5.5–14.2)

Polk County, Florida

518

9.6

1.9

(5.8–13.3)

St. Johns County, Florida

520

8.7

1.6

(5.5–11.8)

St. Lucie County, Florida

501

9.0

1.5

(6.0–11.9)

Santa Rosa County, Florida

494

10.7

2.0

(6.7–14.6)

Sarasota County, Florida

603

5.2

1.0

(3.2–7.1)

Seminole County, Florida

484

6.1

1.2

(3.7–8.4)

Volusia County, Florida

858

10.0

2.2

(5.6–14.3)

Wakulla County, Florida

533

14.1

3.1

(8.0–20.1)

Cobb County, Georgia

253

9.2

2.1

(5.0–13.3)

DeKalb County, Georgia

341

8.2

1.8

(4.6–11.7)

Fulton County, Georgia

330

7.0

2.0

(3.0–10.9)

Gwinnett County, Georgia

249

10.5

2.8

(5.0–15.9)

Hawaii County, Hawaii

1,464

12.2

1.2

(9.8–14.5)

Honolulu County, Hawaii

2,933

9.0

0.7

(7.6–10.3)

Kauai County, Hawaii

643

5.4

1.0

(3.4–7.3)

Maui County, Hawaii

1,457

10.7

1.3

(8.1–13.2)

Ada County, Idaho

857

12.3

1.8

(8.7–15.8)

Bonneville County, Idaho

520

9.0

1.5

(6.0–11.9)

Canyon County, Idaho

613

8.6

1.4

(5.8–11.3)

Kootenai County, Idaho

564

7.4

1.3

(4.8–9.9)

Nez Perce County, Idaho

380

13.7

2.3

(9.1–18.2)

Twin Falls County, Idaho

431

7.1

1.5

(4.1–10.0)

Cook County, Illinois

2,879

9.0

0.8

(7.4–10.5)

DuPage County, Illinois

255

6.1

1.7

(2.7–9.4)

Allen County, Indiana

584

10.7

1.7

(7.3–14.0)

Lake County, Indiana

997

9.8

1.4

(7.0–12.5)

Marion County, Indiana

1,457

11.6

1.3

(9.0–14.1)

Linn County, Iowa

492

8.1

1.6

(4.9–11.2)

Polk County, Iowa

763

8.7

1.5

(5.7–11.6)

Johnson County, Kansas

1,410

7.9

1.0

(5.9–9.8)

Sedgwick County, Kansas

1,431

11.3

1.2

(8.9–13.6)

Shawnee County, Kansas

616

8.2

1.3

(5.6–10.7)

Wyandotte County, Kansas

604

9.6

1.8

(6.0–13.1)

Jefferson County, Kentucky

407

10.8

1.8

(7.2–14.3)

Caddo Parish, Louisiana

446

5.6

1.4

(2.8–8.3)

East Baton Rouge Parish, Louisiana

715

5.1

1.4

(2.3–7.8)

Jefferson Parish, Louisiana

593

6.3

1.2

(3.9–8.6)

Orleans Parish, Louisiana

375

8.4

1.8

(4.8–11.9)

St. Tammany Parish, Louisiana

369

4.4

1.0

(2.4–6.3)

Androscoggin County, Maine

497

9.1

1.5

(6.1–12.0)

Cumberland County, Maine

1,379

9.2

1.1

(7.0–11.3)

Kennebec County, Maine

648

11.9

2.0

(7.9–15.8)

Penobscot County, Maine

688

11.2

1.5

(8.2–14.1)

Sagadahoc County, Maine

299

8.5

1.9

(4.7–12.2)

York County, Maine

936

9.7

1.2

(7.3–12.0)

Anne Arundel County, Maryland

595

5.6

1.1

(3.4–7.7)

Baltimore County, Maryland

1,050

8.4

1.2

(6.0–10.7)

Cecil County, Maryland

269

5.9

1.6

(2.7–9.0)

Charles County, Maryland

349

6.9

1.5

(3.9–9.8)

Frederick County, Maryland

573

7.8

1.4

(5.0–10.5)

Harford County, Maryland

280

10.2

2.3

(5.6–14.7)

Howard County, Maryland

341

9.6

2.5

(4.7–14.5)

Montgomery County, Maryland

1,055

6.1

0.9

(4.3–7.8)

Prince George´s County, Maryland

790

11.8

1.6

(8.6–14.9)

Queen Anne´s County, Maryland

295

7.5

1.9

(3.7–11.2)

Washington County, Maryland

406

8.7

1.7

(5.3–12.0)


TABLE 54. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

532

11.1

2.0

(7.1–15.0)

Bristol County, Massachusetts

2,915

10.1

1.3

(7.5–12.6)

Essex County, Massachusetts

2,125

10.1

1.2

(7.7–12.4)

Hampden County, Massachusetts

1,585

9.9

1.2

(7.5–12.2)

Hampshire County, Massachusetts

275

12.1

2.8

(6.6–17.5)

Middlesex County, Massachusetts

3,006

10.2

1.2

(7.8–12.5)

Norfolk County, Massachusetts

855

7.4

1.0

(5.4–9.3)

Plymouth County, Massachusetts

680

9.2

1.3

(6.6–11.7)

Suffolk County, Massachusetts

1,755

11.4

1.4

(8.6–14.1)

Worcester County, Massachusetts

2,094

14.0

1.6

(10.8–17.1)

Kent County, Michigan

444

7.8

1.7

(4.4–11.1)

Macomb County, Michigan

513

11.1

1.8

(7.5–14.6)

Oakland County, Michigan

932

7.3

1.1

(5.1–9.4)

Wayne County, Michigan

1,898

12.1

1.2

(9.7–14.4)

Anoka County, Minnesota

394

5.6

1.6

(2.4–8.7)

Dakota County, Minnesota

568

10.1

2.2

(5.7–14.4)

Hennepin County, Minnesota

2,046

9.0

1.4

(6.2–11.7)

Ramsey County, Minnesota

915

8.2

3.5

(1.3–15.0)

Washington County, Minnesota

258

7.3

2.2

(2.9–11.6)

DeSoto County, Mississippi

367

7.5

1.8

(3.9–11.0)

Hinds County, Mississippi

337

7.5

2.0

(3.5–11.4)

Jackson County, Missouri

523

12.3

2.0

(8.3–16.2)

St. Louis County, Missouri

604

8.9

1.7

(5.5–12.2)

St. Louis city, Missouri

644

11.1

1.7

(7.7–14.4)

Flathead County, Montana

697

8.6

1.4

(5.8–11.3)

Lewis and Clark County, Montana

532

9.8

1.6

(6.6–12.9)

Yellowstone County, Montana

482

10.3

2.2

(5.9–14.6)

Adams County, Nebraska

477

10.0

2.2

(5.6–14.3)

Dakota County, Nebraska

737

6.6

1.1

(4.4–8.7)

Douglas County, Nebraska

949

7.2

1.2

(4.8–9.5)

Hall County, Nebraska

585

6.5

1.3

(3.9–9.0)

Lancaster County, Nebraska

844

10.1

1.5

(7.1–13.0)

Lincoln County, Nebraska

543

13.4

2.8

(7.9–18.8)

Madison County, Nebraska

465

3.5

0.7

(2.1–4.8)

Sarpy County, Nebraska

577

10.2

1.9

(6.4–13.9)

Scotts Bluff County, Nebraska

735

5.9

1.4

(3.1–8.6)

Seward County, Nebraska

284

6.5

1.6

(3.3–9.6)

Clark County, Nevada

1,258

9.3

1.1

(7.1–11.4)

Washoe County, Nevada

1,295

8.1

1.0

(6.1–10.0)

Grafton County, New Hampshire

510

12.0

2.0

(8.0–15.9)

Hillsborough County, New Hampshire

1,420

10.5

1.1

(8.3–12.6)

Merrimack County, New Hampshire

634

11.6

1.9

(7.8–15.3)

Rockingham County, New Hampshire

1,015

9.3

1.3

(6.7–11.8)

Strafford County, New Hampshire

576

10.9

1.7

(7.5–14.2)

Atlantic County, New Jersey

919

8.3

1.6

(5.1–11.4)

Bergen County, New Jersey

624

8.3

1.6

(5.1–11.4)

Burlington County, New Jersey

565

8.2

1.5

(5.2–11.1)

Camden County, New Jersey

599

11.6

2.1

(7.4–15.7)

Cape May County, New Jersey

519

6.5

1.4

(3.7–9.2)

Essex County, New Jersey

1,019

8.3

1.0

(6.3–10.2)

Gloucester County, New Jersey

522

10.6

1.9

(6.8–14.3)

Hudson County, New Jersey

1,094

10.8

1.2

(8.4–13.1)

Hunterdon County, New Jersey

512

7.5

1.5

(4.5–10.4)

Mercer County, New Jersey

501

7.4

1.6

(4.2–10.5)

Middlesex County, New Jersey

631

7.5

1.4

(4.7–10.2)

Monmouth County, New Jersey

564

9.3

1.8

(5.7–12.8)

Morris County, New Jersey

699

6.9

1.2

(4.5–9.2)

Ocean County, New Jersey

534

10.8

1.9

(7.0–14.5)

Passaic County, New Jersey

499

8.8

1.4

(6.0–11.5)

Somerset County, New Jersey

535

7.2

1.4

(4.4–9.9)

Sussex County, New Jersey

501

8.8

1.5

(5.8–11.7)

Union County, New Jersey

518

6.3

1.2

(3.9–8.6)

Warren County, New Jersey

479

9.0

1.7

(5.6–12.3)


TABLE 54. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

1,262

9.8

1.4

(7.0–12.5)

Dona Ana County, New Mexico

498

8.9

1.9

(5.1–12.6)

Sandoval County, New Mexico

517

9.5

1.7

(6.1–12.8)

San Juan County, New Mexico

684

11.7

2.0

(7.7–15.6)

Santa Fe County, New Mexico

607

9.2

1.9

(5.4–12.9)

Valencia County, New Mexico

347

6.5

1.6

(3.3–9.6)

Bronx County, New York

430

14.6

2.4

(9.8–19.3)

Erie County, New York

477

12.1

2.2

(7.7–16.4)

Kings County, New York

903

11.1

1.4

(8.3–13.8)

Monroe County, New York

380

8.4

1.8

(4.8–11.9)

Nassau County, New York

473

6.9

1.4

(4.1–9.6)

New York County, New York

1,034

10.0

1.3

(7.4–12.5)

Queens County, New York

795

7.0

1.0

(5.0–8.9)

Suffolk County, New York

587

7.9

1.8

(4.3–11.4)

Westchester County, New York

383

10.3

2.2

(5.9–14.6)

Buncombe County, North Carolina

262

9.6

2.7

(4.3–14.8)

Cabarrus County, North Carolina

307

4.5

1.3

(1.9–7.0)

Catawba County, North Carolina

294

6.1

1.6

(2.9–9.2)

Durham County, North Carolina

617

7.7

1.3

(5.1–10.2)

Gaston County, North Carolina

264

7.5

1.8

(3.9–11.0)

Guilford County, North Carolina

692

7.6

1.3

(5.0–10.1)

Johnston County, North Carolina

273

7.7

1.9

(3.9–11.4)

Mecklenburg County, North Carolina

604

5.7

1.1

(3.5–7.8)

Orange County, North Carolina

297

10.5

3.5

(3.6–17.3)

Randolph County, North Carolina

395

6.9

1.7

(3.5–10.2)

Union County, North Carolina

347

6.4

1.4

(3.6–9.1)

Wake County, North Carolina

709

5.9

1.3

(3.3–8.4)

Burleigh County, North Dakota

554

6.0

1.4

(3.2–8.7)

Cass County, North Dakota

774

5.0

1.0

(3.0–6.9)

Ward County, North Dakota

460

9.4

2.0

(5.4–13.3)

Cuyahoga County, Ohio

714

7.8

1.4

(5.0–10.5)

Franklin County, Ohio

678

10.5

1.6

(7.3–13.6)

Hamilton County, Ohio

720

10.1

1.7

(6.7–13.4)

Lucas County, Ohio

723

12.1

1.7

(8.7–15.4)

Mahoning County, Ohio

728

6.7

1.2

(4.3–9.0)

Montgomery County, Ohio

696

10.0

1.9

(6.2–13.7)

Stark County, Ohio

711

7.3

1.3

(4.7–9.8)

Summit County, Ohio

697

10.5

1.5

(7.5–13.4)

Cleveland County, Oklahoma

433

9.2

1.8

(5.6–12.7)

Oklahoma County, Oklahoma

1,430

7.9

0.9

(6.1–9.6)

Tulsa County, Oklahoma

1,512

10.2

1.1

(8.0–12.3)

Clackamas County, Oregon

449

5.4

1.4

(2.6–8.1)

Lane County, Oregon

507

10.3

2.0

(6.3–14.2)

Multnomah County, Oregon

810

8.3

1.2

(5.9–10.6)

Washington County, Oregon

582

10.5

1.9

(6.7–14.2)

Allegheny County, Pennsylvania

1,369

8.2

0.9

(6.4–9.9)

Lehigh County, Pennsylvania

279

9.4

2.0

(5.4–13.3)

Luzerne County, Pennsylvania

312

8.8

2.3

(4.2–13.3)

Montgomery County, Pennsylvania

344

7.3

1.9

(3.5–11.0)

Northampton County, Pennsylvania

257

9.8

2.4

(5.0–14.5)

Philadelphia County, Pennsylvania

1,396

12.6

1.3

(10.0–15.1)

Westmoreland County, Pennsylvania

339

13.9

2.6

(8.8–18.9)

Bristol County, Rhode Island

277

11.8

2.5

(6.9–16.7)

Kent County, Rhode Island

935

10.4

1.2

(8.0–12.7)

Newport County, Rhode Island

482

9.0

1.9

(5.2–12.7)

Providence County, Rhode Island

4,120

12.6

1.0

(10.6–14.5)

Washington County, Rhode Island

746

6.8

1.2

(4.4–9.1)

Aiken County, South Carolina

470

8.6

1.7

(5.2–11.9)

Beaufort County, South Carolina

674

5.1

1.0

(3.1–7.0)

Berkeley County, South Carolina

358

7.8

1.9

(4.0–11.5)

Charleston County, South Carolina

667

4.4

1.0

(2.4–6.3)

Greenville County, South Carolina

491

9.6

2.6

(4.5–14.6)

Horry County, South Carolina

552

10.1

1.8

(6.5–13.6)


TABLE 54. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

661

7.2

1.5

(4.2–10.1)

Minnehaha County, South Dakota

597

7.7

1.5

(4.7–10.6)

Pennington County, South Dakota

659

7.0

1.1

(4.8–9.1)

Davidson County, Tennessee

417

3.3

0.9

(1.5–5.0)

Hamilton County, Tennessee

386

4.5

1.3

(1.9–7.0)

Knox County, Tennessee

369

5.3

1.4

(2.5–8.0)

Shelby County, Tennessee

394

5.4

1.5

(2.4–8.3)

Sullivan County, Tennessee

460

8.0

2.1

(3.8–12.1)

Bexar County, Texas

960

7.1

1.1

(4.9–9.2)

Dallas County, Texas

387

11.1

2.6

(6.0–16.1)

El Paso County, Texas

867

5.8

0.9

(4.0–7.5)

Fort Bend County, Texas

921

4.8

0.7

(3.4–6.1)

Harris County, Texas

1,454

5.1

0.7

(3.7–6.4)

Hidalgo County, Texas

594

5.2

1.3

(2.6–7.7)

Lubbock County, Texas

751

8.6

1.4

(5.8–11.3)

Midland County, Texas

521

12.4

2.2

(8.0–16.7)

Potter County, Texas

335

6.8

1.6

(3.6–9.9)

Randall County, Texas

453

11.9

2.7

(6.6–17.1)

Smith County, Texas

670

9.7

2.5

(4.8–14.6)

Tarrant County, Texas

602

9.7

2.1

(5.5–13.8)

Travis County, Texas

754

7.0

1.7

(3.6–10.3)

Val Verde County, Texas

558

5.0

1.0

(3.0–6.9)

Webb County, Texas

918

3.4

0.6

(2.2–4.5)

Wichita County, Texas

671

11.4

1.9

(7.6–15.1)

Davis County, Utah

876

5.8

0.9

(4.0–7.5)

Salt Lake County, Utah

3,266

10.1

0.7

(8.7–11.4)

Summit County, Utah

451

6.9

1.2

(4.5–9.2)

Tooele County, Utah

564

11.8

2.9

(6.1–17.4)

Utah County, Utah

1,107

10.7

1.8

(7.1–14.2)

Weber County, Utah

771

9.9

1.4

(7.1–12.6)

Chittenden County, Vermont

1,425

10.5

1.3

(7.9–13.0)

Franklin County, Vermont

484

10.3

1.8

(6.7–13.8)

Orange County, Vermont

354

13.6

2.1

(9.4–17.7)

Rutland County, Vermont

654

14.5

2.0

(10.5–18.4)

Washington County, Vermont

667

7.3

1.2

(4.9–9.6)

Windsor County, Vermont

676

11.4

1.6

(8.2–14.5)

Benton County, Washington

390

7.8

1.5

(4.8–10.7)

Clark County, Washington

1,088

9.9

1.2

(7.5–12.2)

Franklin County, Washington

254

9.0

2.3

(4.4–13.5)

King County, Washington

3,018

8.7

0.7

(7.3–10.0)

Kitsap County, Washington

913

12.2

1.5

(9.2–15.1)

Pierce County, Washington

1,711

10.4

1.0

(8.4–12.3)

Snohomish County, Washington

1,638

9.4

1.0

(7.4–11.3)

Spokane County, Washington

1,204

12.5

1.5

(9.5–15.4)

Thurston County, Washington

771

11.4

1.5

(8.4–14.3)

Yakima County, Washington

738

7.8

1.2

(5.4–10.1)

Kanawha County, West Virginia

488

5.8

1.3

(3.2–8.3)

Milwaukee County, Wisconsin

1,214

12.4

1.8

(8.8–15.9)

Laramie County, Wyoming

905

11.0

1.4

(8.2–13.7)

Natrona County, Wyoming

766

10.0

1.5

(7.0–12.9)

Median

8.9

Range

3.3-14.6

Abbreviations: SE = standard error; CI = confidence interval.

* Defined as ever been told by a health professional that the respondent had asthma and reporting that they still have asthma.

Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 55. Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

7,661

13.2

0.5

(12.2–14.2)

Alaska

1,960

5.3

0.7

(3.9–6.6)

Arizona

5,753

9.0

0.6

(7.8–10.2)

Arkansas

4,021

9.6

0.5

(8.6–10.7)

California

17,770

8.6

0.3

(8.1–9.1)

Colorado

11,648

6.0

0.3

(5.5–6.5)

Connecticut

6,771

7.3

0.4

(6.5–8.1)

Delaware

4,241

8.7

0.5

(7.7–9.7)

District of Columbia

3,972

8.3

0.5

(7.3–9.3)

Florida

35,071

10.4

0.3

(9.8–11.1)

Georgia

5,780

9.7

0.5

(8.8–10.6)

Hawaii

6,546

8.3

0.4

(7.4–9.1)

Idaho

7,001

7.9

0.4

(7.2–8.7)

Illinois

5,199

8.7

0.5

(7.8–9.7)

Indiana

10,210

9.8

0.4

(9.0–10.6)

Iowa

6,095

7.5

0.4

(6.8–8.3)

Kansas

8,557

8.4

0.3

(7.8–9.1)

Kentucky

8,054

10.0

0.4

(9.2–10.9)

Louisiana

7,027

10.3

0.4

(9.5–11.1)

Maine

8,123

8.7

0.3

(8.0–9.3)

Maryland

9,167

9.3

0.4

(8.5–10.1)

Massachusetts

16,287

7.4

0.3

(6.9–8.0)

Michigan

8,856

10.1

0.4

(9.4–10.9)

Minnesota

8,957

6.7

0.4

(5.9–7.5)

Mississippi

8,082

12.4

0.5

(11.4–13.3)

Missouri

5,426

9.4

0.5

(8.4–10.4)

Montana

7,299

7.0

0.4

(6.2–7.8)

Nebraska

16,377

7.7

0.3

(7.0–8.3)

Nevada

3,908

8.5

0.7

(7.2–9.8)

New Hampshire

6,041

7.9

0.4

(7.1–8.7)

New Jersey

12,425

9.2

0.3

(8.5–9.8)

New Mexico

6,994

8.5

0.4

(7.7–9.2)

New York

8,937

8.9

0.3

(8.2–9.5)

North Carolina

12,129

9.8

0.3

(9.1–10.4)

North Dakota

4,760

7.4

0.4

(6.6–8.2)

Ohio

9,842

10.1

0.4

(9.3–10.9)

Oklahoma

7,732

10.4

0.4

(9.7–11.2)

Oregon

5,059

7.2

0.4

(6.4–7.9)

Pennsylvania

11,222

10.3

0.4

(9.6–11.0)

Rhode Island

6,595

7.8

0.4

(7.1–8.6)

South Carolina

9,416

10.7

0.5

(9.7–11.6)

South Dakota

6,722

6.9

0.4

(6.2–7.6)

Tennessee

5,763

11.3

0.6

(10.2–12.4)

Texas

18,051

9.7

0.4

(9.0–10.4)

Utah

10,166

6.5

0.3

(5.9–7.0)

Vermont

6,791

6.8

0.3

(6.2–7.4)

Virginia

5,385

8.7

0.5

(7.7–9.7)

Washington

19,612

7.6

0.2

(7.2–8.1)

West Virginia

4,397

11.7

0.5

(10.7–12.7)

Wisconsin

4,775

7.1

0.4

(6.3–8.0)

Wyoming

5,834

7.2

0.4

(6.5–7.9)

Guam

783

11.0

1.2

(8.6–13.4)

Puerto Rico

3,537

12.8

0.6

(11.6–14.0)

Virgin Islands

1,819

9.1

0.8

(7.6–10.6)

Median

8.7

Range

5.3-13.2

Abbreviations: SE = standard error; CI = confidence interval.

* Did not include diabetes during pregnancy in females, or prediabetes or borderline diabetes in adults.


TABLE 56. Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

809

10.8

1.7

(7.4–14.1)

Albuquerque, New Mexico

2,195

7.1

0.6

(5.9–8.2)

Allentown—-ethlehem—-aston, Pennsylvania—-ew Jersey

1,090

8.9

1.1

(6.7–11.0)

Amarillo, Texas

829

9.8

1.2

(7.4–12.1)

Arcadia, Florida

503

11.2

2.2

(6.8–15.5)

Asheville, North Carolina

547

9.8

1.4

(7.0–12.5)

Atlanta—-andy Springs—-arietta, Georgia

2,350

8.7

0.7

(7.3–10.0)

Atlantic City, New Jersey

920

9.0

1.3

(6.4–11.5)

Augusta—-ichmond County, Georgia—-outh Carolina

872

9.1

1.2

(6.7–11.4)

Augusta—-aterville, Maine

653

7.7

1.0

(5.7–9.6)

Austin—-ound Rock, Texas

975

5.7

0.9

(3.9–7.4)

Baltimore—-owson, Maryland

3,336

9.9

0.7

(8.5–11.2)

Bangor, Maine

691

11.1

1.3

(8.5–13.6)

Barre, Vermont

669

6.2

0.9

(4.4–7.9)

Baton Rouge, Louisiana

1,201

10.1

1.0

(8.1–12.0)

Bethesda—-aithersburg—-rederick, Maryland

1,639

6.0

0.6

(4.8–7.1)

Billings, Montana

537

7.1

1.3

(4.5–9.6)

Birmingham—-oover, Alabama

1,198

12.4

1.1

(10.2–14.5)

Bismarck, North Dakota

771

6.0

0.8

(4.4–7.5)

Boise City—-ampa, Idaho

1,662

7.4

0.7

(6.0–8.7)

Boston—-uincy, Massachusetts

3,308

7.8

0.6

(6.6–8.9)

Bremerton—-ilverdale, Washington

923

6.7

0.9

(4.9–8.4)

Bridgeport—-tamford—-orwalk, Connecticut

2,183

6.0

0.7

(4.6–7.3)

Buffalo—-heektowaga—-onawanda, New York

609

8.0

1.0

(6.0–9.9)

Burlington—-outh Burlington, Vermont

1,996

6.2

0.6

(5.0–7.3)

Cambridge—-ewton—-ramingham, Massachusetts

3,023

5.8

0.5

(4.8–6.7)

Camden, New Jersey

1,700

9.8

0.9

(8.0–11.5)

Canton—-assillon, Ohio

747

8.8

1.2

(6.4–11.1)

Cape Coral—-ort Myers, Florida

517

8.4

1.3

(5.8–10.9)

Casper, Wyoming

767

8.2

1.2

(5.8–10.5)

Cedar Rapids, Iowa

559

9.0

1.2

(6.6–11.3)

Charleston, West Virginia

770

10.1

1.1

(7.9–12.2)

Charleston—-orth Charleston, South Carolina

1,151

11.6

1.7

(8.2–14.9)

Charlotte—-astonia—-oncord, North Carolina—-outh Carolina

1,711

9.2

0.9

(7.4–10.9)

Chattanooga, Tennessee—-eorgia

538

8.8

1.5

(5.8–11.7)

Cheyenne, Wyoming

912

8.9

0.9

(7.1–10.6)

Chicago—-aperville—-oliet, Illinois—-ndiana—-isconsin

5,016

8.8

0.5

(7.8–9.7)

Cincinnati—-iddletown, Ohio—-entucky—-ndiana

1,797

9.9

0.9

(8.1–11.6)

Cleveland—-lyria—-entor, Ohio

1,099

10.6

1.0

(8.6–12.5)

Coeur d´Alene, Idaho

570

8.4

1.3

(5.8–10.9)

Colorado Springs, Colorado

1,169

5.9

0.7

(4.5–7.2)

Columbia, South Carolina

1,138

9.4

1.1

(7.2–11.5)

Columbus, Ohio

1,389

9.3

0.9

(7.5–11.0)

Concord, New Hampshire

641

6.5

1.1

(4.3–8.6)

Dallas—-lano—-rving, Texas

720

8.1

1.1

(5.9–10.2)

Dayton, Ohio

853

11.6

1.7

(8.2–14.9)

Del Rio, Texas

559

13.3

2.0

(9.3–17.2)

Deltona—-aytona Beach—-rmond Beach, Florida

862

13.6

1.6

(10.4–16.7)

Denver—-urora, Colorado

4,833

5.4

0.3

(4.8–5.9)

Des Moines—-est Des Moines, Iowa

1,003

6.8

0.8

(5.2–8.3)

Detroit—-ivonia—-earborn, Michigan

1,913

12.1

0.9

(10.3–13.8)

Dover, Delaware

1,254

10.2

0.9

(8.4–11.9)

Durham, North Carolina

1,035

7.3

1.0

(5.3–9.2)

Edison, New Jersey

2,266

9.5

0.8

(7.9–11.0)

El Paso, Texas

872

12.2

1.2

(9.8–14.5)

Eugene—-pringfield, Oregon

511

7.0

1.0

(5.0–8.9)

Evansville, Indiana—-entucky

536

9.8

1.6

(6.6–12.9)

Fargo, North Dakota—-innesota

834

8.5

1.7

(5.1–11.8)

Farmington, New Mexico

686

7.8

1.5

(4.8–10.7)

Fayetteville—-pringdale—-ogers, Arkansas—-issouri

700

6.8

1.2

(4.4–9.1)

Fort Collins—-oveland, Colorado

561

4.7

0.9

(2.9–6.4)

Fort Wayne, Indiana

722

11.4

1.7

(8.0–14.7)

Fort Worth—-rlington, Texas

736

11.7

1.8

(8.1–15.2)


TABLE 56. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

953

4.6

0.8

(3.0–6.1)

Grand Island, Nebraska

862

9.0

1.2

(6.6–11.3)

Grand Rapids–Wyoming, Michigan

621

9.9

1.4

(7.1–12.6)

Greensboro–High Point, North Carolina

1,161

10.6

1.1

(8.4–12.7)

Greenville, South Carolina

781

8.7

1.2

(6.3–11.0)

Hagerstown–Martinsburg, Maryland–West Virginia

644

7.9

1.0

(5.9–9.8)

Hartford–West Hartford–East Hartford, Connecticut

2,020

7.9

0.7

(6.5–9.2)

Hastings, Nebraska

589

8.2

1.2

(5.8–10.5)

Helena, Montana

641

5.7

1.1

(3.5–7.8)

Hickory–Morganton–Lenoir, North Carolina

600

10.0

1.3

(7.4–12.5)

Hilo, Hawaii

1,480

8.2

0.7

(6.8–9.5)

Hilton Head Island–Beaufort, South Carolina

802

8.7

1.4

(5.9–11.4)

Homosassa Springs, Florida

535

10.1

1.4

(7.3–12.8)

Honolulu, Hawaii

2,956

8.5

0.6

(7.3–9.6)

Houston–Sugar Land–Baytown, Texas

2,744

8.5

0.7

(7.1–9.8)

Huntington–Ashland, West Virginia–Kentucky–Ohio

659

13.0

1.5

(10.0–15.9)

Idaho Falls, Idaho

666

8.4

1.3

(5.8–10.9)

Indianapolis–Carmel, Indiana

2,256

9.6

0.8

(8.0–11.1)

Jackson, Mississippi

761

11.7

1.3

(9.1–14.2)

Jacksonville, Florida

2,590

9.3

0.9

(7.5–11.0)

Kahului–Wailuku, Hawaii

1,465

7.8

0.8

(6.2–9.3)

Kalispell, Montana

701

4.9

0.8

(3.3–6.4)

Kansas City, Missouri–Kansas

3,379

9.1

0.7

(7.7–10.4)

Kapaa, Hawaii

645

6.2

0.9

(4.4–7.9)

Kennewick–Richland–Pasco, Washington

646

10.3

1.6

(7.1–13.4)

Key West–Marathon, Florida

505

7.3

1.5

(4.3–10.2)

Kingsport–Bristol, Tennessee–Virginia

655

11.1

1.6

(7.9–14.2)

Knoxville, Tennessee

529

9.1

1.4

(6.3–11.8)

Lake City, Florida

566

11.9

1.6

(8.7–15.0)

Lakeland–Winter Haven, Florida

521

13.9

1.8

(10.3–17.4)

Laredo, Texas

920

13.4

1.2

(11.0–15.7)

Las Cruces, New Mexico

503

12.0

1.5

(9.0–14.9)

Las Vegas–Paradise, Nevada

1,268

9.0

0.9

(7.2–10.7)

Lebanon, New Hampshire–Vermont

1,557

8.1

0.8

(6.5–9.6)

Lewiston, Idaho–Washington

602

12.2

1.5

(9.2–15.1)

Lewiston–Auburn, Maine

502

9.5

1.3

(6.9–12.0)

Lincoln, Nebraska

1,134

6.1

0.8

(4.5–7.6)

Little Rock–North Little Rock, Arkansas

822

10.0

1.3

(7.4–12.5)

Los Angeles–Long Beach–Glendale, California

2,616

8.7

0.6

(7.5–9.8)

Louisville, Kentucky–Indiana

907

6.9

0.9

(5.1–8.6)

Lubbock, Texas

780

11.0

1.9

(7.2–14.7)

Manchester–Nashua, New Hampshire

1,420

7.1

0.7

(5.7–8.4)

McAllen–Edinburg–Mission, Texas

596

13.8

1.6

(10.6–16.9)

Memphis, Tennessee–Mississippi–Arkansas

1,157

12.7

1.5

(9.7–15.6)

Miami–Fort Lauderdale–Miami Beach, Florida

1,029

7.5

0.9

(5.7–9.2)

Midland, Texas

525

9.8

1.5

(6.8–12.7)

Milwaukee–Waukesha–West Allis, Wisconsin

1,531

7.6

0.9

(5.8–9.3)

Minneapolis–St. Paul–Bloomington, Minnesota–Wisconsin

4,865

5.3

0.4

(4.5–6.0)

Minot, North Dakota

556

8.2

1.3

(5.6–10.7)

Mobile, Alabama

681

11.5

1.3

(8.9–14.0)

Myrtle Beach–Conway–North Myrtle Beach, South Carolina

554

10.5

1.4

(7.7–13.2)

Naples–Marco Island, Florida

522

9.2

1.4

(6.4–11.9)

Nashville–Davidson—-Murfreesboro, Tennessee

830

8.7

1.1

(6.5–10.8)

Nassau–Suffolk, New York*

1,072

6.6

0.8

(5.0–8.1)

Newark–Union, New Jersey–Pennsylvania

3,324

9.6

0.7

(8.2–10.9)

New Haven–Milford, Connecticut

1,674

8.0

0.9

(6.2–9.7)

New Orleans–Metairie–Kenner, Louisiana

1,536

11.0

0.9

(9.2–12.7)

New York–White Plains–Wayne, New York–New Jersey

6,197

8.7

0.4

(7.9–9.4)

Norfolk, Nebraska

675

6.6

0.9

(4.8–8.3)

North Platte, Nebraska

North Port–Bradenton–Sarasota, Florida

578

1,1.35

9.3

9.3

1.4

0.9

(6.5–12.0)

(7.5 – 11.0)

Ocala, Florida

589

12.1

1.5

(9.1–15.0)

Ocean City, New Jersey

521

11.8

1.5

(8.8–14.7)


TABLE 56. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden–Clearfield, Utah

1,701

6.9

0.7

(5.5–8.2)

Oklahoma City, Oklahoma

2,469

8.7

0.6

(7.5–9.8)

Olympia, Washington

777

7.4

0.9

(5.6–9.1)

Omaha–Council Bluffs, Nebraska–Iowa

2,358

7.5

0.6

(6.3–8.6)

Orlando–Kissimmee, Florida

2,676

11.3

0.9

(9.5–13.0)

Palm Bay–Melbourne–Titusville, Florida

527

11.4

1.6

(8.2–14.5)

Panama City–Lynn Haven, Florida

Peabody, Massachusetts

545

2,133

8.9

7.4

1.3

0.9

(6.3–11.4)

(5.6 – 9.1)

Pensacola–Ferry Pass–Brent, Florida

1,016

11.3

1.2

(8.9–13.6)

Philadelphia, Pennsylvania

2,366

10.3

0.9

(8.5–12.0)

Phoenix–Mesa–Scottsdale, Arizona

1,688

7.1

0.7

(5.7–8.4)

Pittsburgh, Pennsylvania

2,422

9.2

0.6

(8.0–10.3)

Portland–South Portland–Biddeford, Maine

2,627

6.7

0.5

(5.7–7.6)

Portland–Vancouver–Beaverton, Oregon–Washington

3,402

6.5

0.4

(5.7–7.2)

Port St. Lucie–Fort Pierce, Florida

1,025

12.5

1.4

(9.7–15.2)

Providence–New Bedford–Fall River, Rhode Island–Massachusetts

9,523

7.9

0.3

(7.3–8.4)

Provo–Orem, Utah

1,177

4.8

0.6

(3.6–5.9)

Raleigh–Cary, North Carolina

1,028

7.4

0.9

(5.6–9.1)

Rapid City, South Dakota

847

7.5

0.9

(5.7–9.2)

Reno–Sparks, Nevada

1,326

6.7

0.9

(4.9–8.4)

Richmond, Virginia

802

9.8

1.4

(7.0–12.5)

Riverside–San Bernardino–Ontario, California

1,878

10.2

0.9

(8.4–11.9)

Rochester, New York

568

9.7

1.4

(6.9–12.4)

Rockingham County–Strafford County, New Hampshire

1,607

7.7

0.8

(6.1–9.2)

Rutland, Vermont

659

7.7

1.2

(5.3–10.0)

Sacramento—-Arden–Arcade—-Roseville, California

1,294

8.3

0.9

(6.5–10.0)

St. Louis, Missouri–Illinois

1,749

8.5

0.9

(6.7–10.2)

Salt Lake City, Utah

4,314

6.6

0.4

(5.8–7.3)

San Antonio, Texas

1,128

9.2

0.9

(7.4–10.9)

San Diego–Carlsbad–San Marcos, California

1,695

8.9

0.8

(7.3–10.4)

San Francisco–Oakland–Fremont, California

2,357

7.1

0.6

(5.9–8.2)

San Jose–Sunnyvale–Santa Clara, California

913

8.6

1.2

(6.2–10.9)

Santa Ana–Anaheim–Irvine, California

1,446

8.1

0.9

(6.3–9.8)

Santa Fe, New Mexico

610

6.0

1.2

(3.6–8.3)

Scottsbluff, Nebraska

760

9.4

1.0

(7.4–11.3)

Scranton—-Wilkes–Barre, Pennsylvania

554

10.0

1.4

(7.2–12.7)

Seaford, Delaware

1,237

11.6

1.1

(9.4–13.7)

Seattle–Bellevue–Everett, Washington

4,694

6.4

0.5

(5.4–7.3)

Sebring, Florida

522

14.1

2.0

(10.1–18.0)

Shreveport–Bossier City, Louisiana

681

10.0

1.2

(7.6–12.3)

Sioux City, Iowa–Nebraska–South Dakota

1,220

7.3

1.3

(4.7–9.8)

Sioux Falls, South Dakota

839

5.1

0.7

(3.7–6.4)

Spokane, Washington

1,217

8.3

0.8

(6.7–9.8)

Springfield, Massachusetts

2,053

7.7

0.7

(6.3–9.0)

Tacoma, Washington

1,723

9.5

0.9

(7.7–11.2)

Tallahassee, Florida

2,046

11.6

1.5

(8.6–14.5)

Tampa–St. Petersburg–Clearwater, Florida

2,034

11.9

1.1

(9.7–14.0)

Toledo, Ohio

862

9.7

1.3

(7.1–12.2)

Topeka, Kansas

835

9.6

1.1

(7.4–11.7)

Trenton–Ewing, New Jersey

504

10.0

1.5

(7.0–12.9)

Tucson, Arizona

698

8.0

1.1

(5.8–10.1)

Tulsa, Oklahoma

2,141

10.9

0.8

(9.3–12.4)

Tuscaloosa, Alabama

518

9.3

1.1

(7.1–11.4)

Twin Falls, Idaho

539

8.3

1.2

(5.9–10.6)

Tyler, Texas

672

8.2

1.1

(6.0–10.3)

Virginia Beach–Norfolk–Newport News, Virginia–North Carolina

1,101

8.5

0.9

(6.7–10.2)

Warren–Troy–Farmington Hills, Michigan

1,801

11.2

1.6

(8.0–14.3)

Washington–Arlington–Alexandria, District of Columbia–Virginia–Maryland–West Virginia

6,444

8.7

0.8

(7.1–10.2)

Wauchula, Florida

530

15.4

2.4

(10.6–20.1)

West Palm Beach–Boca Raton–Boynton Beach, Florida

553

9.7

1.7

(6.3–13.0)

Wichita, Kansas

1,852

7.8

0.6

(6.6–8.9)

Wichita Falls, Texas

829

10.4

1.2

(8.0–12.7)

Wilmington, Delaware–Maryland–New Jersey

2,216

8.2

0.7

(6.8–9.5)


TABLE 56. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

2,100

8.3

0.8

(6.7–9.8)

Yakima, Washington

741

9.9

1.3

(7.3–12.4)

Youngstown–Warren–Boardman, Ohio–Pennsylvania

1,062

9.1

1.2

(6.7–11.4)

Median

8.9

Range

4.6–15.4

Abbreviations: SE = standard error; CI = confidence interval.

* Did not include diabetes during pregnancy in females, or prediabetes or borderline diabetes in adults.

Metropolitan division.


TABLE 57. Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

602

11.8

1.4

(9.0–14.5)

Mobile County, Alabama

681

11.5

1.3

(8.9–14.0)

Tuscaloosa County, Alabama

435

9.2

1.2

(6.8–11.5)

Maricopa County, Arizona

1,301

6.9

0.7

(5.5–8.2)

Pima County, Arizona

698

8.0

1.1

(5.8–10.1)

Pinal County, Arizona

387

10.1

1.9

(6.3–13.8)

Benton County, Arkansas

361

5.6

1.5

(2.6–8.5)

Pulaski County, Arkansas

559

9.1

1.4

(6.3–11.8)

Washington County, Arkansas

298

8.0

1.9

(4.2–11.7)

Alameda County, California

756

7.5

1.2

(5.1–9.8)

Contra Costa County, California

632

7.6

1.2

(5.2–9.9)

Los Angeles County, California

2,616

8.7

0.6

(7.5–9.8)

Orange County, California

1,446

8.1

0.9

(6.3–9.8)

Placer County, California

255

6.1

1.5

(3.1–9.0)

Riverside County, California

932

10.5

1.3

(7.9–13.0)

Sacramento County, California

752

8.6

1.1

(6.4–10.7)

San Bernardino County, California

946

10.1

1.1

(7.9–12.2)

San Diego County, California

1,695

8.9

0.8

(7.3–10.4)

San Francisco County, California

386

5.5

1.3

(2.9–8.0)

San Mateo County, California

384

8.1

1.5

(5.1–11.0)

Santa Clara County, California

875

8.9

1.3

(6.3–11.4)

Adams County, Colorado

807

6.3

1.0

(4.3–8.2)

Arapahoe County, Colorado

873

5.9

0.9

(4.1–7.6)

Denver County, Colorado

876

6.3

0.9

(4.5–8.0)

Douglas County, Colorado

578

3.6

0.7

(2.2–4.9)

El Paso County, Colorado

1,036

5.8

0.8

(4.2–7.3)

Jefferson County, Colorado

1,170

5.3

0.7

(3.9–6.6)

Larimer County, Colorado

561

4.7

0.9

(2.9–6.4)

Fairfield County, Connecticut

2,183

6.0

0.7

(4.6–7.3)

Hartford County, Connecticut

1,501

8.4

0.8

(6.8–9.9)

Middlesex County, Connecticut

264

7.6

1.7

(4.2–10.9)

New Haven County, Connecticut

1,674

8.0

0.9

(6.2–9.7)

Tolland County, Connecticut

255

7.8

1.9

(4.0–11.5)

Kent County, Delaware

1,254

10.2

0.9

(8.4–11.9)

New Castle County, Delaware

1,750

7.2

0.7

(5.8–8.5)

Sussex County, Delaware

1,237

11.6

1.1

(9.4–13.7)

District of Columbia, District of Columbia

3,972

7.6

0.5

(6.6–8.5)

Alachua County, Florida

535

4.7

0.9

(2.9–6.4)

Baker County, Florida

510

10.4

1.6

(7.2–13.5)

Bay County, Florida

545

8.9

1.3

(6.3–11.4)

Brevard County, Florida

527

11.4

1.6

(8.2–14.5)

Broward County, Florida

525

6.5

1.1

(4.3–8.6)

Citrus County, Florida

535

10.1

1.4

(7.3–12.8)

Clay County, Florida

485

8.8

1.4

(6.0–11.5)

Collier County, Florida

522

9.2

1.4

(6.4–11.9)

Columbia County, Florida

566

11.9

1.6

(8.7–15.0)

DeSoto County, Florida

503

11.2

2.2

(6.8–15.5)

Duval County, Florida

551

10.4

1.5

(7.4–13.3)

Escambia County, Florida

520

11.0

1.8

(7.4–14.5)

Gadsden County, Florida

510

18.8

3.6

(11.7–25.8)

Gilchrist County, Florida

418

10.2

2.4

(5.4–14.9)

Hardee County, Florida

530

15.4

2.4

(10.6–20.1)

Hernando County, Florida

489

11.4

1.7

(8.0–14.7)

Highlands County, Florida

522

14.1

2.0

(10.1–18.0)

Hillsborough County, Florida

506

11.6

1.8

(8.0–15.1)

Jefferson County, Florida

503

9.4

1.3

(6.8–11.9)

Lake County, Florida

607

12.6

1.5

(9.6–15.5)

Lee County, Florida

517

8.4

1.3

(5.8–10.9)

Leon County, Florida

498

10.1

1.9

(6.3–13.8)

Manatee County, Florida

525

10.9

1.4

(8.1–13.6)

Marion County, Florida

589

12.1

1.5

(9.1–15.0)

Martin County, Florida

521

7.8

1.4

(5.0–10.5)

Miami-Dade County, Florida

504

9.0

1.4

(6.2–11.7)


TABLE 57. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

505

7.3

1.5

(4.3–10.2)

Nassau County, Florida

522

6.8

1.2

(4.4–9.1)

Orange County, Florida

1,007

9.8

1.3

(7.2–12.3)

Osceola County, Florida

570

9.7

1.4

(6.9–12.4)

Palm Beach County, Florida

553

9.7

1.7

(6.3–13.0)

Pasco County, Florida

541

8.4

1.2

(6.0–10.7)

Pinellas County, Florida

498

11.3

1.6

(8.1–14.4)

Polk County, Florida

521

13.9

1.8

(10.3–17.4)

St. Johns County, Florida

522

5.8

0.9

(4.0–7.5)

St. Lucie County, Florida

504

15.3

1.9

(11.5–19.0)

Santa Rosa County, Florida

496

12.6

1.7

(9.2–15.9)

Sarasota County, Florida

610

8.5

1.3

(5.9–11.0)

Seminole County, Florida

492

12.7

2.1

(8.5–16.8)

Volusia County, Florida

862

13.6

1.6

(10.4–16.7)

Wakulla County, Florida

535

12.2

2.5

(7.3–17.1)

Cobb County, Georgia

254

10.5

2.3

(5.9–15.0)

DeKalb County, Georgia

342

7.9

1.8

(4.3–11.4)

Fulton County, Georgia

329

5.5

1.4

(2.7–8.2)

Gwinnett County, Georgia

251

5.5

1.5

(2.5–8.4)

Hawaii County, Hawaii

1,480

8.2

0.7

(6.8–9.5)

Honolulu County, Hawaii

2,956

8.5

0.6

(7.3–9.6)

Kauai County, Hawaii

645

6.2

0.9

(4.4–7.9)

Maui County, Hawaii

1,465

7.8

0.8

(6.2–9.3)

Ada County, Idaho

866

6.5

0.9

(4.7–8.2)

Bonneville County, Idaho

522

8.7

1.5

(5.7–11.6)

Canyon County, Idaho

618

8.6

1.3

(6.0–11.1)

Kootenai County, Idaho

570

8.4

1.3

(5.8–10.9)

Nez Perce County, Idaho

381

12.6

1.9

(8.8–16.3)

Twin Falls County, Idaho

434

8.3

1.4

(5.5–11.0)

Cook County, Illinois

2,885

10.0

0.7

(8.6–11.3)

DuPage County, Illinois

256

5.7

1.5

(2.7–8.6)

Allen County, Indiana

587

12.5

2.0

(8.5–16.4)

Lake County, Indiana

1,001

13.1

1.7

(9.7–16.4)

Marion County, Indiana

1,465

11.2

1.3

(8.6–13.7)

Linn County, Iowa

495

8.7

1.3

(6.1–11.2)

Polk County, Iowa

765

6.5

1.0

(4.5–8.4)

Johnson County, Kansas

1,412

6.7

0.7

(5.3–8.0)

Sedgwick County, Kansas

1,437

7.9

0.7

(6.5–9.2)

Shawnee County, Kansas

624

8.5

1.1

(6.3–10.6)

Wyandotte County, Kansas

607

12.7

1.6

(9.5–15.8)

Jefferson County, Kentucky

410

6.0

1.2

(3.6–8.3)

Caddo Parish, Louisiana

446

11.0

1.7

(7.6–14.3)

East Baton Rouge Parish, Louisiana

722

11.2

1.4

(8.4–13.9)

Jefferson Parish, Louisiana

595

12.6

1.4

(9.8–15.3)

Orleans Parish, Louisiana

376

12.3

1.9

(8.5–16.0)

St. Tammany Parish, Louisiana

372

8.9

1.5

(5.9–11.8)

Androscoggin County, Maine

502

9.5

1.3

(6.9–12.0)

Cumberland County, Maine

1,389

6.0

0.7

(4.6–7.3)

Kennebec County, Maine

653

7.7

1.0

(5.7–9.6)

Penobscot County, Maine

691

11.1

1.3

(8.5–13.6)

Sagadahoc County, Maine

298

8.2

1.7

(4.8–11.5)

York County, Maine

940

7.5

0.8

(5.9–9.0)

Anne Arundel County, Maryland

601

10.2

1.3

(7.6–12.7)

Baltimore County, Maryland

1,053

10.6

1.1

(8.4–12.7)

Cecil County, Maryland

270

7.6

1.6

(4.4–10.7)

Charles County, Maryland

349

7.9

1.5

(4.9–10.8)

Frederick County, Maryland

577

6.7

1.1

(4.5–8.8)

Harford County, Maryland

280

8.3

1.7

(4.9–11.6)

Howard County, Maryland

341

6.6

1.4

(3.8–9.3)

Montgomery County, Maryland

1,062

5.8

0.8

(4.2–7.3)

Prince George´s County, Maryland

794

11.6

1.3

(9.0–14.1)

Queen Anne´s County, Maryland

295

6.5

1.4

(3.7–9.2)

Washington County, Maryland

408

8.6

1.4

(5.8–11.3)


TABLE 57. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

532

12.2

2.1

(8.0–16.3)

Bristol County, Massachusetts

2,928

8.0

0.7

(6.6–9.3)

Essex County, Massachusetts

2,133

7.2

0.9

(5.4–8.9)

Hampden County, Massachusetts

1,595

9.7

1.0

(7.7–11.6)

Hampshire County, Massachusetts

275

3.6

0.9

(1.8–5.3)

Middlesex County, Massachusetts

3,023

5.7

0.5

(4.7–6.6)

Norfolk County, Massachusetts

860

6.4

0.8

(4.8–7.9)

Plymouth County, Massachusetts

686

7.5

1.0

(5.5–9.4)

Suffolk County, Massachusetts

1,762

7.9

0.9

(6.1–9.6)

Worcester County, Massachusetts

2,100

8.3

0.8

(6.7–9.8)

Kent County, Michigan

444

8.8

1.5

(5.8–11.7)

Macomb County, Michigan

516

12.9

2.2

(8.5–17.2)

Oakland County, Michigan

936

8.3

1.0

(6.3–10.2)

Wayne County, Michigan

1,913

12.1

0.9

(10.3–13.8)

Anoka County, Minnesota

397

5.1

1.3

(2.5–7.6)

Dakota County, Minnesota

571

4.1

0.9

(2.3–5.8)

Hennepin County, Minnesota

2,053

5.0

0.7

(3.6–6.3)

Ramsey County, Minnesota

918

6.3

1.5

(3.3–9.2)

Washington County, Minnesota

258

5.5

1.6

(2.3–8.6)

DeSoto County, Mississippi

370

7.1

1.5

(4.1–10.0)

Hinds County, Mississippi

340

14.8

2.4

(10.0–19.5)

Jackson County, Missouri

527

9.7

1.4

(6.9–12.4)

St. Louis County, Missouri

605

9.0

1.7

(5.6–12.3)

St. Louis city, Missouri

646

11.5

1.5

(8.5–14.4)

Flathead County, Montana

701

4.9

0.8

(3.3–6.4)

Lewis and Clark County, Montana

532

5.5

1.2

(3.1–7.8)

Yellowstone County, Montana

486

7.6

1.4

(4.8–10.3)

Adams County, Nebraska

480

8.8

1.5

(5.8–11.7)

Dakota County, Nebraska

740

9.4

1.1

(7.2–11.5)

Douglas County, Nebraska

951

7.9

1.0

(5.9–9.8)

Hall County, Nebraska

587

8.0

1.2

(5.6–10.3)

Lancaster County, Nebraska

849

6.0

0.8

(4.4–7.5)

Lincoln County, Nebraska

546

9.6

1.5

(6.6–12.5)

Madison County, Nebraska

468

6.1

1.0

(4.1–8.0)

Sarpy County, Nebraska

578

6.2

1.1

(4.0–8.3)

Scotts Bluff County, Nebraska

737

9.2

1.0

(7.2–11.1)

Seward County, Nebraska

285

7.7

1.7

(4.3–11.0)

Clark County, Nevada

1,268

9.0

0.9

(7.2–10.7)

Washoe County, Nevada

1,306

6.7

0.9

(4.9–8.4)

Grafton County, New Hampshire

517

8.8

1.6

(5.6–11.9)

Hillsborough County, New Hampshire

1,420

7.1

0.7

(5.7–8.4)

Merrimack County, New Hampshire

641

6.5

1.1

(4.3–8.6)

Rockingham County, New Hampshire

1,019

7.4

0.9

(5.6–9.1)

Strafford County, New Hampshire

588

8.0

1.2

(5.6–10.3)

Atlantic County, New Jersey

920

9.0

1.3

(6.4–11.5)

Bergen County, New Jersey

628

5.4

1.0

(3.4–7.3)

Burlington County, New Jersey

568

7.5

1.1

(5.3–9.6)

Camden County, New Jersey

605

9.5

1.3

(6.9–12.0)

Cape May County, New Jersey

521

11.8

1.5

(8.8–14.7)

Essex County, New Jersey

1,026

10.2

1.1

(8.0–12.3)

Gloucester County, New Jersey

527

11.2

1.8

(7.6–14.7)

Hudson County, New Jersey

1,099

8.6

1.0

(6.6–10.5)

Hunterdon County, New Jersey

515

5.7

1.1

(3.5–7.8)

Mercer County, New Jersey

504

10.0

1.5

(7.0–12.9)

Middlesex County, New Jersey

632

9.7

1.5

(6.7–12.6)

Monmouth County, New Jersey

563

7.8

1.3

(5.2–10.3)

Morris County, New Jersey

701

8.0

1.1

(5.8–10.1)

Ocean County, New Jersey

535

13.7

1.7

(10.3–17.0)

Passaic County, New Jersey

501

8.1

1.3

(5.5–10.6)

Somerset County, New Jersey

536

4.8

1.1

(2.6–6.9)

Sussex County, New Jersey

501

8.1

1.4

(5.3–10.8)

Union County, New Jersey

522

11.2

1.5

(8.2–14.1)

Warren County, New Jersey

481

8.5

1.3

(5.9–11.0)


TABLE 57. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

1,264

6.8

0.7

(5.4–8.1)

Dona Ana County, New Mexico

503

12.0

1.5

(9.0–14.9)

Sandoval County, New Mexico

521

7.6

1.4

(4.8–10.3)

San Juan County, New Mexico

686

7.8

1.5

(4.8–10.7)

Santa Fe County, New Mexico

610

6.0

1.2

(3.6–8.3)

Valencia County, New Mexico

350

8.8

1.6

(5.6–11.9)

Bronx County, New York

436

8.3

1.3

(5.7–10.8)

Erie County, New York

479

8.5

1.3

(5.9–11.0)

Kings County, New York

911

11.1

1.4

(8.3–13.8)

Monroe County, New York

382

11.1

2.0

(7.1–15.0)

Nassau County, New York

478

8.2

1.5

(5.2–11.1)

New York County, New York

1,039

7.5

0.9

(5.7–9.2)

Queens County, New York

798

10.6

1.3

(8.0–13.1)

Suffolk County, New York

594

5.6

1.0

(3.6–7.5)

Westchester County, New York

383

8.2

1.6

(5.0–11.3)

Buncombe County, North Carolina

263

10.9

2.2

(6.5–15.2)

Cabarrus County, North Carolina

308

8.2

1.7

(4.8–11.5)

Catawba County, North Carolina

294

9.0

1.9

(5.2–12.7)

Durham County, North Carolina

621

7.3

1.2

(4.9–9.6)

Gaston County, North Carolina

267

11.2

2.0

(7.2–15.1)

Guilford County, North Carolina

695

10.4

1.4

(7.6–13.1)

Johnston County, North Carolina

276

14.8

2.3

(10.2–19.3)

Mecklenburg County, North Carolina

609

8.4

1.2

(6.0–10.7)

Orange County, North Carolina

299

5.6

1.3

(3.0–8.1)

Randolph County, North Carolina

397

11.2

1.7

(7.8–14.5)

Union County, North Carolina

349

6.5

1.2

(4.1–8.8)

Wake County, North Carolina

713

5.5

0.9

(3.7–7.2)

Burleigh County, North Dakota

560

5.5

0.8

(3.9–7.0)

Cass County, North Dakota

780

5.8

0.8

(4.2–7.3)

Ward County, North Dakota

465

8.1

1.4

(5.3–10.8)

Cuyahoga County, Ohio

719

10.8

1.3

(8.2–13.3)

Franklin County, Ohio

681

9.8

1.4

(7.0–12.5)

Hamilton County, Ohio

728

9.2

1.1

(7.0–11.3)

Lucas County, Ohio

729

10.2

1.3

(7.6–12.7)

Mahoning County, Ohio

730

11.7

1.6

(8.5–14.8)

Montgomery County, Ohio

704

11.0

1.4

(8.2–13.7)

Stark County, Ohio

716

8.5

1.0

(6.5–10.4)

Summit County, Ohio

703

10.2

1.4

(7.4–12.9)

Cleveland County, Oklahoma

434

6.6

1.3

(4.0–9.1)

Oklahoma County, Oklahoma

1,435

9.1

0.8

(7.5–10.6)

Tulsa County, Oklahoma

1,520

10.0

0.8

(8.4–11.5)

Clackamas County, Oregon

451

8.4

1.3

(5.8–10.9)

Lane County, Oregon

511

7.0

1.0

(5.0–8.9)

Multnomah County, Oregon

817

6.7

0.8

(5.1–8.2)

Washington County, Oregon

586

5.0

0.8

(3.4–6.5)

Allegheny County, Pennsylvania

1,382

8.6

0.8

(7.0–10.1)

Lehigh County, Pennsylvania

283

10.0

1.9

(6.2–13.7)

Luzerne County, Pennsylvania

312

9.8

1.7

(6.4–13.1)

Montgomery County, Pennsylvania

347

8.0

1.6

(4.8–11.1)

Northampton County, Pennsylvania

260

5.4

1.3

(2.8–7.9)

Philadelphia County, Pennsylvania

1,402

12.0

1.1

(9.8–14.1)

Westmoreland County, Pennsylvania

339

10.6

1.9

(6.8–14.3)

Bristol County, Rhode Island

278

3.6

1.0

(1.6–5.5)

Kent County, Rhode Island

940

9.0

1.1

(6.8–11.1)

Newport County, Rhode Island

488

7.0

1.1

(4.8–9.1)

Providence County, Rhode Island

4,142

8.6

0.5

(7.6–9.5)

Washington County, Rhode Island

747

5.9

0.9

(4.1–7.6)

Aiken County, South Carolina

475

10.3

1.5

(7.3–13.2)

Beaufort County, South Carolina

680

8.9

1.6

(5.7–12.0)

Berkeley County, South Carolina

358

15.3

4.1

(7.2–23.3)

Charleston County, South Carolina

669

9.9

2.0

(5.9–13.8)

Greenville County, South Carolina

496

8.7

1.5

(5.7–11.6)

Horry County, South Carolina

554

10.5

1.5

(7.5–13.4)


TABLE 57. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

666

8.8

1.4

(6.0–11.5)

Minnehaha County, South Dakota

605

5.6

0.9

(3.8–7.3)

Pennington County, South Dakota

667

6.5

0.9

(4.7–8.2)

Davidson County, Tennessee

418

11.3

1.9

(7.5–15.0)

Hamilton County, Tennessee

387

11.0

2.0

(7.0–14.9)

Knox County, Tennessee

370

8.8

1.6

(5.6–11.9)

Shelby County, Tennessee

394

13.0

2.2

(8.6–17.3)

Sullivan County, Tennessee

461

13.0

1.9

(9.2–16.7)

Bexar County, Texas

969

9.9

1.0

(7.9–11.8)

Dallas County, Texas

392

9.4

1.6

(6.2–12.5)

El Paso County, Texas

872

12.2

1.2

(9.8–14.5)

Fort Bend County, Texas

928

7.0

0.9

(5.2–8.7)

Harris County, Texas

1,461

9.2

0.9

(7.4–10.9)

Hidalgo County, Texas

596

13.8

1.6

(10.6–16.9)

Lubbock County, Texas

756

9.8

1.2

(7.4–12.1)

Midland County, Texas

525

9.8

1.5

(6.8–12.7)

Potter County, Texas

337

10.5

2.0

(6.5–14.4)

Randall County, Texas

461

8.9

1.6

(5.7–12.0)

Smith County, Texas

672

8.2

1.1

(6.0–10.3)

Tarrant County, Texas

604

10.2

1.8

(6.6–13.7)

Travis County, Texas

762

5.1

1.2

(2.7–7.4)

Val Verde County, Texas

559

13.3

2.0

(9.3–17.2)

Webb County, Texas

920

13.4

1.2

(11.0–15.7)

Wichita County, Texas

678

10.2

1.3

(7.6–12.7)

Davis County, Utah

879

6.2

0.9

(4.4–7.9)

Salt Lake County, Utah

3,293

6.6

0.4

(5.8–7.3)

Summit County, Utah

453

2.6

0.7

(1.2–3.9)

Tooele County, Utah

568

9.0

1.2

(6.6–11.3)

Utah County, Utah

1,114

4.8

0.6

(3.6–5.9)

Weber County, Utah

777

8.1

1.1

(5.9–10.2)

Chittenden County, Vermont

1,429

5.3

0.6

(4.1–6.4)

Franklin County, Vermont

486

8.5

1.3

(5.9–11.0)

Orange County, Vermont

358

8.4

1.4

(5.6–11.1)

Rutland County, Vermont

659

7.7

1.2

(5.3–10.0)

Washington County, Vermont

669

6.2

0.9

(4.4–7.9)

Windsor County, Vermont

682

7.7

1.1

(5.5–9.8)

Benton County, Washington

392

8.8

1.5

(5.8–11.7)

Clark County, Washington

1,094

8.0

0.8

(6.4–9.5)

Franklin County, Washington

254

14.4

3.8

(6.9–21.8)

King County, Washington

3,040

5.8

0.5

(4.8–6.7)

Kitsap County, Washington

923

6.7

0.9

(4.9–8.4)

Pierce County, Washington

1,723

9.3

0.8

(7.7–10.8)

Snohomish County, Washington

1,654

7.0

0.7

(5.6–8.3)

Spokane County, Washington

1,217

8.3

0.8

(6.7–9.8)

Thurston County, Washington

777

7.4

0.9

(5.6–9.1)

Yakima County, Washington

741

9.9

1.3

(7.3–12.4)

Kanawha County, West Virginia

490

9.7

1.3

(7.1–12.2)

Milwaukee County, Wisconsin

1,218

8.9

1.2

(6.5–11.2)

Laramie County, Wyoming

912

8.9

0.9

(7.1–10.6)

Natrona County, Wyoming

767

8.2

1.2

(5.8–10.5)

Median

8.6

Range

2.6-18.8

Abbreviations: SE = standard error; CI = confidence interval.

* Did not include diabetes during pregnancy in females, or prediabetes or borderline diabetes in adults.


TABLE 58. Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

7,631

25.9

0.7

(24.5–27.3)

Alaska

1,933

20.2

1.3

(17.7–22.8)

Arizona

5,729

22.1

0.9

(20.3–23.8)

Arkansas

4,006

24.7

1.0

(22.7–26.7)

California

17,755

18.1

0.4

(17.4–18.9)

Colorado

11,603

20.6

0.5

(19.6–21.7)

Connecticut

6,746

16.6

0.6

(15.4–17.7)

Delaware

4,237

21.4

0.9

(19.7–23.1)

District of Columbia

3,954

16.5

0.7

(15.1–17.9)

Florida

34,874

24.3

0.5

(23.3–25.3)

Georgia

5,767

19.3

0.7

(18.0–20.7)

Hawaii

6,528

16.2

0.7

(14.9–17.5)

Idaho

6,963

23.2

0.7

(21.9–24.6)

Illinois

5,192

17.8

0.7

(16.5–19.2)

Indiana

10,154

22.0

0.6

(20.8–23.1)

Iowa

6,073

17.6

0.6

(16.3–18.8)

Kansas

8,538

20.4

0.5

(19.3–21.4)

Kentucky

8,038

25.0

0.7

(23.5–26.4)

Louisiana

7,008

21.9

0.7

(20.6–23.2)

Maine

8,092

23.8

0.6

(22.6–25.0)

Maryland

9,146

18.4

0.6

(17.3–19.5)

Massachusetts

16,225

18.1

0.5

(17.2–19.0)

Michigan

8,840

22.6

0.6

(21.5–23.8)

Minnesota

8,924

17.3

0.7

(15.8–18.7)

Mississippi

8,061

25.3

0.7

(23.9–26.7)

Missouri

5,405

24.8

0.9

(22.9–26.6)

Montana

7,272

24.0

0.8

(22.3–25.6)

Nebraska

16,326

18.9

0.6

(17.8–20.1)

Nevada

3,903

21.0

1.0

(19.1–22.9)

New Hampshire

6,020

20.0

0.7

(18.7–21.3)

New Jersey

12,381

16.9

0.5

(16.0–17.8)

New Mexico

6,978

23.0

0.7

(21.6–24.4)

New York

8,883

20.5

0.5

(19.5–21.6)

North Carolina

12,099

21.2

0.6

(20.1–22.3)

North Dakota

4,743

18.0

0.8

(16.5–19.5)

Ohio

9,813

21.8

0.6

(20.6–22.9)

Oklahoma

7,720

26.4

0.6

(25.1–27.6)

Oregon

5,024

27.0

0.9

(25.3–28.7)

Pennsylvania

11,160

21.9

0.5

(20.8–22.9)

Rhode Island

6,574

19.0

0.7

(17.6–20.3)

South Carolina

9,339

23.6

0.8

(21.9–25.2)

South Dakota

6,701

19.9

0.7

(18.6–21.2)

Tennessee

5,748

23.9

0.9

(22.2–25.6)

Texas

17,969

18.9

0.6

(17.8–20.0)

Utah

10,116

19.7

0.6

(18.6–20.9)

Vermont

6,748

21.5

0.6

(20.3–22.8)

Virginia

5,359

19.6

0.9

(17.8–21.4)

Washington

19,501

25.7

0.4

(24.9–26.6)

West Virginia

4,391

28.2

0.8

(26.6–29.9)

Wisconsin

4,768

17.8

0.7

(16.4–19.3)

Wyoming

5,808

21.2

0.7

(19.9–22.6)

Guam

780

10.8

1.4

(8.2–13.5)

Puerto Rico

3,541

15.6

0.7

(14.1–17.0)

Virgin Islands

1,809

11.4

1.0

(9.4–13.4)

Median

20.8

Range

10.8-28.2

Abbreviations: SE = standard error; CI = confidence interval.


TABLE 59. Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

808

22.2

1.9

(18.4–25.9)

Albuquerque, New Mexico

2,186

22.8

1.3

(20.2–25.3)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

1,081

17.7

1.4

(14.9–20.4)

Amarillo, Texas

826

20.5

1.8

(16.9–24.0)

Arcadia, Florida

498

22.5

2.8

(17.0–27.9)

Asheville, North Carolina

545

27.6

2.7

(22.3–32.8)

Atlanta-Sandy Springs-Marietta, Georgia

2,346

16.7

1.0

(14.7–18.6)

Atlantic City, New Jersey

916

18.1

1.7

(14.7–21.4)

Augusta-Richmond County, Georgia-South Carolina

870

19.6

1.7

(16.2–22.9)

Augusta-Waterville, Maine

651

23.1

2.2

(18.7–27.4)

Austin-Round Rock, Texas

973

17.3

2.2

(12.9–21.6)

Baltimore-Towson, Maryland

3,329

20.1

0.9

(18.3–21.8)

Bangor, Maine

688

25.9

2.0

(21.9–29.8)

Barre, Vermont

660

20.5

2.0

(16.5–24.4)

Baton Rouge, Louisiana

1,196

18.2

1.5

(15.2–21.1)

Bethesda-Gaithersburg-Frederick, Maryland*

1,634

14.3

1.0

(12.3–16.2)

Billings, Montana

534

24.7

2.6

(19.6–29.7)

Birmingham-Hoover, Alabama

1,196

21.4

1.4

(18.6–24.1)

Bismarck, North Dakota

766

18.4

1.7

(15.0–21.7)

Boise City-Nampa, Idaho

1,649

23.3

1.4

(20.5–26.0)

Boston-Quincy, Massachusetts*

3,302

15.9

1.0

(13.9–17.8)

Bremerton-Silverdale, Washington

917

28.8

1.9

(25.0–32.5)

Bridgeport-Stamford-Norwalk, Connecticut

2,176

14.3

1.1

(12.1–16.4)

Buffalo-Cheektowaga-Tonawanda, New York

605

24.2

2.3

(19.6–28.7)

Burlington-South Burlington, Vermont

1,986

20.3

1.2

(17.9–22.6)

Cambridge-Newton-Framingham, Massachusetts*

3,012

17.1

1.1

(14.9–19.2)

Camden, New Jersey*

1,696

19.8

1.2

(17.4–22.1)

Canton-Massillon, Ohio

742

23.2

2.2

(18.8–27.5)

Cape Coral-Fort Myers, Florida

517

28.0

3.9

(20.3–35.6)

Casper, Wyoming

766

20.6

1.8

(17.0–24.1)

Cedar Rapids, Iowa

556

16.8

2.1

(12.6–20.9)

Charleston, West Virginia

767

27.5

2.0

(23.5–31.4)

Charleston-North Charleston, South Carolina

1,144

19.2

1.9

(15.4–22.9)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,705

17.8

1.2

(15.4–20.1)

Chattanooga, Tennessee-Georgia

533

22.3

2.5

(17.4–27.2)

Cheyenne, Wyoming

911

24.3

1.8

(20.7–27.8)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

4,999

17.2

0.8

(15.6–18.7)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,789

20.3

1.5

(17.3–23.2)

Cleveland-Elyria-Mentor, Ohio

1,098

19.9

1.5

(16.9–22.8)

Coeur d´Alene, Idaho

567

26.3

2.6

(21.2–31.3)

Colorado Springs, Colorado

1,165

26.8

1.7

(23.4–30.1)

Columbia, South Carolina

1,129

24.0

2.1

(19.8–28.1)

Columbus, Ohio

1,387

22.3

1.5

(19.3–25.2)

Concord, New Hampshire

636

17.2

2.0

(13.2–21.1)

Dallas-Plano-Irving, Texas*

715

16.3

1.7

(12.9–19.6)

Dayton, Ohio

846

23.6

2.4

(18.8–28.3)

Del Rio, Texas

558

17.4

2.5

(12.5–22.3)

Deltona-Daytona Beach-Ormond Beach, Florida

860

31.5

2.5

(26.6–36.4)

Denver-Aurora, Colorado

4,818

18.9

0.7

(17.5–20.2)

Des Moines-West Des Moines, Iowa

1,003

18.0

1.5

(15.0–20.9)

Detroit-Livonia-Dearborn, Michigan*

1,908

25.0

1.5

(22.0–27.9)

Dover, Delaware

1,253

21.0

1.4

(18.2–23.7)

Durham, North Carolina

1,035

15.9

1.5

(12.9–18.8)

Edison, New Jersey*

2,267

17.8

1.1

(15.6–19.9)

El Paso, Texas

865

16.1

1.6

(12.9–19.2)

Eugene-Springfield, Oregon

508

32.0

2.9

(26.3–37.6)

Evansville, Indiana-Kentucky

532

25.2

2.9

(19.5–30.8)

Fargo, North Dakota-Minnesota

828

13.5

1.9

(9.7–17.2)

Farmington, New Mexico

685

22.9

2.5

(18.0–27.8)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

698

20.7

2.2

(16.3–25.0)

Fort Collins-Loveland, Colorado

558

18.2

2.6

(13.1–23.2)

Fort Wayne, Indiana

719

20.2

1.8

(16.6–23.7)

Fort Worth-Arlington, Texas*

733

20.7

2.0

(16.7–24.6)


TABLE 59. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

947

22.0

2.5

(17.1–26.9)

Grand Island, Nebraska

859

17.9

1.5

(14.9–20.8)

Grand Rapids-Wyoming, Michigan

622

20.6

2.1

(16.4–24.7)

Greensboro-High Point, North Carolina

1,156

21.0

1.6

(17.8–24.1)

Greenville, South Carolina

773

22.8

2.6

(17.7–27.8)

Hagerstown-Martinsburg, Maryland-West Virginia

643

23.1

2.1

(18.9–27.2)

Hartford-West Hartford-East Hartford, Connecticut

2,011

16.5

1.0

(14.5–18.4)

Hastings, Nebraska

588

17.2

1.7

(13.8–20.5)

Helena, Montana

642

24.8

2.3

(20.2–29.3)

Hickory-Morganton-Lenoir, North Carolina

600

24.7

2.2

(20.3–29.0)

Hilo, Hawaii

1,477

21.3

1.4

(18.5–24.0)

Hilton Head Island-Beaufort, South Carolina

796

20.2

1.9

(16.4–23.9)

Homosassa Springs, Florida

528

31.9

2.7

(26.6–37.1)

Honolulu, Hawaii

2,953

15.1

0.9

(13.3–16.8)

Houston-Sugar Land-Baytown, Texas

2,731

17.9

1.2

(15.5–20.2)

Huntington-Ashland, West Virginia-Kentucky-Ohio

659

38.3

2.7

(33.0–43.5)

Idaho Falls, Idaho

663

16.9

1.6

(13.7–20.0)

Indianapolis-Carmel, Indiana

2,244

20.6

1.2

(18.2–22.9)

Jackson, Mississippi

759

21.9

1.8

(18.3–25.4)

Jacksonville, Florida

2,577

24.8

1.6

(21.6–27.9)

Kahului-Wailuku, Hawaii

1,455

15.2

1.2

(12.8–17.5)

Kalispell, Montana

696

23.1

2.0

(19.1–27.0)

Kansas City, Missouri-Kansas

3,372

20.6

1.1

(18.4–22.7)

Kapaa, Hawaii

643

18.8

2.0

(14.8–22.7)

Kennewick-Richland-Pasco, Washington

643

20.6

2.1

(16.4–24.7)

Key West-Marathon, Florida

506

27.5

2.7

(22.2–32.7)

Kingsport-Bristol, Tennessee-Virginia

652

27.3

2.9

(21.6–32.9)

Knoxville, Tennessee

529

23.0

2.5

(18.1–27.9)

Lake City, Florida

562

29.2

2.7

(23.9–34.4)

Lakeland-Winter Haven, Florida

520

29.0

2.7

(23.7–34.2)

Laredo, Texas

916

14.3

1.3

(11.7–16.8)

Las Cruces, New Mexico

504

20.6

2.6

(15.5–25.6)

Las Vegas-Paradise, Nevada

1,268

19.8

1.3

(17.2–22.3)

Lebanon, New Hampshire-Vermont

1,550

19.2

1.2

(16.8–21.5)

Lewiston, Idaho-Washington

603

29.2

2.4

(24.4–33.9)

Lewiston-Auburn, Maine

500

20.3

2.1

(16.1–24.4)

Lincoln, Nebraska

1,130

17.7

1.6

(14.5–20.8)

Little Rock-North Little Rock, Arkansas

815

19.5

1.9

(15.7–23.2)

Los Angeles-Long Beach-Glendale, California*

2,613

16.0

0.9

(14.2–17.7)

Louisville, Kentucky-Indiana

903

21.0

1.6

(17.8–24.1)

Lubbock, Texas

773

19.7

1.8

(16.1–23.2)

Manchester-Nashua, New Hampshire

1,416

20.1

1.3

(17.5–22.6)

McAllen-Edinburg-Mission, Texas

594

18.8

1.9

(15.0–22.5)

Memphis, Tennessee-Mississippi-Arkansas

1,152

20.3

1.9

(16.5–24.0)

Miami-Fort Lauderdale-Miami Beach, Florida

1,023

19.5

1.7

(16.1–22.8)

Midland, Texas

521

21.7

2.4

(16.9–26.4)

Milwaukee-Waukesha-West Allis, Wisconsin

1,528

19.0

1.6

(15.8–22.1)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

4,846

15.5

0.9

(13.7–17.2)

Minot, North Dakota

556

16.2

1.7

(12.8–19.5)

Mobile, Alabama

679

27.8

2.4

(23.0–32.5)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

551

23.7

2.7

(18.4–28.9)

Naples-Marco Island, Florida

519

18.3

2.4

(13.5–23.0)

Nashville-Davidson-Murfreesboro, Tennessee

829

16.7

1.6

(13.5–19.8)

Nassau-Suffolk, New York*

1,065

20.8

1.6

(17.6–23.9)

Newark-Union, New Jersey-Pennsylvania*

3,307

16.2

0.9

(14.4–17.9)

New Haven-Milford, Connecticut

1,668

17.9

1.3

(15.3–20.4)

New Orleans-Metairie-Kenner, Louisiana

1,530

22.6

1.4

(19.8–25.3)

New York-White Plains-Wayne, New York-New Jersey*

6,164

16.0

0.6

(14.8–17.1)

Norfolk, Nebraska

675

17.4

1.8

(13.8–20.9)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

574

1,130

20.9

21.1

2.2

1.5

(16.5–25.2)

(18.1–24.0)

Ocala, Florida

583

30.4

2.6

(25.3–35.4)

Ocean City, New Jersey

518

18.3

1.9

(14.5–22.0)


TABLE 59. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

1,689

19.2

1.4

(16.4–21.9)

Oklahoma City, Oklahoma

2,469

26.2

1.1

(24.0–28.3)

Olympia, Washington

775

31.3

2.2

(26.9–35.6)

Omaha-Council Bluffs, Nebraska-Iowa

2,349

18.5

1.1

(16.3–20.6)

Orlando-Kissimmee, Florida

2,654

21.6

1.1

(19.4–23.7)

Palm Bay-Melbourne-Titusville, Florida

524

28.5

2.6

(23.4–33.5)

Panama City-Lynn Haven, Florida

Peabody, Massachusetts

540

2,128

24.7

19.4

2.8

1.6

(19.2–30.1)

(16.2–22.5)

Pensacola-Ferry Pass-Brent, Florida

1,012

26.1

1.9

(22.3–29.8)

Philadelphia, Pennsylvania*

2,347

21.6

1.2

(19.2–23.9)

Phoenix-Mesa-Scottsdale, Arizona

1,682

18.3

1.2

(15.9–20.6)

Pittsburgh, Pennsylvania

2,410

21.5

1.1

(19.3–23.6)

Portland-South Portland-Biddeford, Maine

2,621

20.4

1.0

(18.4–22.3)

Portland-Vancouver-Beaverton, Oregon-Washington

3,383

23.2

1.1

(21.0–25.3)

Port St. Lucie-Fort Pierce, Florida

1,019

29.9

2.1

(25.7–34.0)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

9,486

19.4

0.7

(18.0–20.7)

Provo-Orem, Utah

1,172

19.5

1.7

(16.1–22.8)

Raleigh-Cary, North Carolina

1,025

16.6

1.4

(13.8–19.3)

Rapid City, South Dakota

845

23.4

1.7

(20.0–26.7)

Reno-Sparks, Nevada

1,322

22.2

1.5

(19.2–25.1)

Richmond, Virginia

801

20.4

2.2

(16.0–24.7)

Riverside-San Bernardino-Ontario, California

1,875

17.7

1.1

(15.5–19.8)

Rochester, New York

561

22.5

2.2

(18.1–26.8)

Rockingham County-Strafford County, New Hampshire*

1,602

19.0

1.2

(16.6–21.3)

Rutland, Vermont

657

24.8

2.1

(20.6–28.9)

Sacramento-Arden-Arcade-Roseville, California

1,292

18.7

1.3

(16.1–21.2)

St. Louis, Missouri-Illinois

1,742

22.1

1.6

(18.9–25.2)

Salt Lake City, Utah

4,296

19.4

0.8

(17.8–20.9)

San Antonio, Texas

1,124

17.7

1.4

(14.9–20.4)

San Diego-Carlsbad-San Marcos, California

1,694

17.5

1.1

(15.3–19.6)

San Francisco-Oakland-Fremont, California

2,356

19.0

1.0

(17.0–20.9)

San Jose-Sunnyvale-Santa Clara, California

911

16.8

1.5

(13.8–19.7)

Santa Ana-Anaheim-Irvine, California*

1,446

14.4

1.2

(12.0–16.7)

Santa Fe, New Mexico

610

22.2

2.3

(17.6–26.7)

Scottsbluff, Nebraska

756

18.3

1.8

(14.7–21.8)

Scranton-Wilkes-Barre, Pennsylvania

553

26.3

2.4

(21.5–31.0)

Seaford, Delaware

1,236

20.6

1.4

(17.8–23.3)

Seattle-Bellevue-Everett, Washington*

4,668

22.3

0.8

(20.7–23.8)

Sebring, Florida

520

28.9

2.9

(23.2–34.5)

Shreveport-Bossier City, Louisiana

682

22.8

2.3

(18.2–27.3)

Sioux City, Iowa-Nebraska-South Dakota

1,220

18.9

2.2

(14.5–23.2)

Sioux Falls, South Dakota

837

17.4

1.5

(14.4–20.3)

Spokane, Washington

1,213

30.6

1.9

(26.8–34.3)

Springfield, Massachusetts

2,039

20.9

1.9

(17.1–24.6)

Tacoma, Washington*

1,714

27.2

1.4

(24.4–29.9)

Tallahassee, Florida

2,034

21.7

2.1

(17.5–25.8)

Tampa-St. Petersburg-Clearwater, Florida

2,027

26.1

1.5

(23.1–29.0)

Toledo, Ohio

862

22.5

1.9

(18.7–26.2)

Topeka, Kansas

834

23.3

1.8

(19.7–26.8)

Trenton-Ewing, New Jersey

502

15.9

2.1

(11.7–20.0)

Tucson, Arizona

696

27.5

2.6

(22.4–32.5)

Tulsa, Oklahoma

2,137

25.1

1.2

(22.7–27.4)

Tuscaloosa, Alabama

515

25.7

3.0

(19.8–31.5)

Twin Falls, Idaho

538

20.8

2.1

(16.6–24.9)

Tyler, Texas

672

19.9

2.1

(15.7–24.0)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

1,100

20.5

2.0

(16.5–24.4)

Warren-Troy-Farmington Hills, Michigan*

1,797

21.1

1.7

(17.7–24.4)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia*

6,421

16.1

1.1

(13.9–18.2)

Wauchula, Florida

526

20.3

2.9

(14.6–25.9)

West Palm Beach-Boca Raton-Boynton Beach, Florida*

551

19.5

2.2

(15.1–23.8)

Wichita, Kansas

1,848

21.3

1.2

(18.9–23.6)

Wichita Falls, Texas

827

25.0

2.2

(20.6–29.3)

Wilmington, Delaware-Maryland-New Jersey*

2,212

21.8

1.1

(19.6–23.9)


TABLE 59. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

2,092

19.7

1.5

(16.7–22.6)

Yakima, Washington

734

23.3

1.9

(19.5–27.0)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

1,059

20.1

2.1

(15.9–24.2)

Median

20.6

Range

13.5-38.3

Abbreviations: SE = standard error; CI = confidence interval.

* Metropolitan division.


TABLE 60. Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

600

20.5

1.8

(16.9–24.0)

Mobile County, Alabama

679

27.8

2.4

(23.0–32.5)

Tuscaloosa County, Alabama

434

25.7

3.2

(19.4–31.9)

Maricopa County, Arizona

1,296

18.1

1.3

(15.5–20.6)

Pima County, Arizona

696

27.5

2.6

(22.4–32.5)

Pinal County, Arizona

386

22.0

3.2

(15.7–28.2)

Benton County, Arkansas

360

19.6

2.9

(13.9–25.2)

Pulaski County, Arkansas

553

16.4

1.9

(12.6–20.1)

Washington County, Arkansas

297

21.5

3.2

(15.2–27.7)

Alameda County, California

755

18.6

1.6

(15.4–21.7)

Contra Costa County, California

631

18.1

1.9

(14.3–21.8)

Los Angeles County, California

2,613

16.0

0.9

(14.2–17.7)

Orange County, California

1,446

14.4

1.2

(12.0–16.7)

Placer County, California

255

20.0

2.8

(14.5–25.4)

Riverside County, California

930

16.8

1.4

(14.0–19.5)

Sacramento County, California

750

19.6

1.7

(16.2–22.9)

San Bernardino County, California

945

18.7

1.6

(15.5–21.8)

San Diego County, California

1,694

17.5

1.1

(15.3–19.6)

San Francisco County, California

386

20.3

2.5

(15.4–25.2)

San Mateo County, California

385

20.7

2.6

(15.6–25.7)

Santa Clara County, California

873

16.5

1.6

(13.3–19.6)

Adams County, Colorado

807

19.2

1.8

(15.6–22.7)

Arapahoe County, Colorado

870

20.5

1.7

(17.1–23.8)

Denver County, Colorado

872

20.0

1.6

(16.8–23.1)

Douglas County, Colorado

576

13.1

1.8

(9.5–16.6)

El Paso County, Colorado

1,034

27.3

1.8

(23.7–30.8)

Jefferson County, Colorado

1,164

19.9

1.5

(16.9–22.8)

Larimer County, Colorado

558

18.2

2.6

(13.1–23.2)

Fairfield County, Connecticut

2,176

14.3

1.1

(12.1–16.4)

Hartford County, Connecticut

1,492

16.6

1.2

(14.2–18.9)

Middlesex County, Connecticut

264

18.9

2.7

(13.6–24.1)

New Haven County, Connecticut

1,668

17.9

1.3

(15.3–20.4)

Tolland County, Connecticut

255

17.4

2.9

(11.7–23.0)

Kent County, Delaware

1,253

21.0

1.4

(18.2–23.7)

New Castle County, Delaware

1,748

21.7

1.3

(19.1–24.2)

Sussex County, Delaware

1,236

20.6

1.4

(17.8–23.3)

District of Columbia, District of Columbia

3,954

14.9

0.7

(13.5–16.2)

Alachua County, Florida

533

22.4

2.8

(16.9–27.8)

Baker County, Florida

507

25.5

3.7

(18.2–32.7)

Bay County, Florida

540

24.7

2.8

(19.2–30.1)

Brevard County, Florida

524

28.5

2.6

(23.4–33.5)

Broward County, Florida

524

21.0

2.3

(16.4–25.5)

Citrus County, Florida

528

31.9

2.7

(26.6–37.1)

Clay County, Florida

482

27.3

2.4

(22.5–32.0)

Collier County, Florida

519

18.3

2.4

(13.5–23.0)

Columbia County, Florida

562

29.2

2.7

(23.9–34.4)

DeSoto County, Florida

498

22.5

2.8

(17.0–27.9)

Duval County, Florida

548

24.8

2.3

(20.2–29.3)

Escambia County, Florida

518

27.7

2.8

(22.2–33.1)

Gadsden County, Florida

505

18.9

2.1

(14.7–23.0)

Gilchrist County, Florida

414

NA*

NA

NA

Hardee County, Florida

526

20.3

2.9

(14.6–25.9)

Hernando County, Florida

486

30.5

2.8

(25.0–35.9)

Highlands County, Florida

520

28.9

2.9

(23.2–34.5)

Hillsborough County, Florida

503

23.5

2.7

(18.2–28.7)

Jefferson County, Florida

499

22.7

3.0

(16.8–28.5)

Lake County, Florida

604

24.0

2.1

(19.8–28.1)

Lee County, Florida

517

28.0

3.9

(20.3–35.6)

Leon County, Florida

496

19.2

2.3

(14.6–23.7)

Manatee County, Florida

524

22.3

2.2

(17.9–26.6)

Marion County, Florida

583

30.4

2.6

(25.3–35.4)

Martin County, Florida

516

27.2

2.6

(22.1–32.2)

Miami-Dade County, Florida

499

18.9

2.3

(14.3–23.4)


TABLE 60. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

506

27.5

2.7

(22.2–32.7)

Nassau County, Florida

519

22.7

3.0

(16.8–28.5)

Orange County, Florida

999

22.2

1.8

(18.6–25.7)

Osceola County, Florida

563

18.5

2.1

(14.3–22.6)

Palm Beach County, Florida

551

19.5

2.2

(15.1–23.8)

Pasco County, Florida

541

30.8

2.8

(25.3–36.2)

Pinellas County, Florida

497

25.7

2.5

(20.8–30.6)

Polk County, Florida

520

29.0

2.7

(23.7–34.2)

St. Johns County, Florida

521

22.8

2.4

(18.0–27.5)

St. Lucie County, Florida

503

31.0

2.6

(25.9–36.0)

Santa Rosa County, Florida

494

23.8

2.5

(18.9–28.7)

Sarasota County, Florida

606

21.1

2.2

(16.7–25.4)

Seminole County, Florida

488

21.5

2.4

(16.7–26.2)

Volusia County, Florida

860

31.5

2.5

(26.6–36.4)

Wakulla County, Florida

534

28.7

3.2

(22.4–34.9)

Cobb County, Georgia

254

16.4

2.6

(11.3–21.4)

DeKalb County, Georgia

342

17.6

2.4

(12.8–22.3)

Fulton County, Georgia

329

12.0

1.9

(8.2–15.7)

Gwinnett County, Georgia

251

14.0

2.7

(8.7–19.2)

Hawaii County, Hawaii

1,477

21.3

1.4

(18.5–24.0)

Honolulu County, Hawaii

2,953

15.1

0.9

(13.3–16.8)

Kauai County, Hawaii

643

18.8

2.0

(14.8–22.7)

Maui County, Hawaii

1,455

15.2

1.2

(12.8–17.5)

Ada County, Idaho

860

22.0

1.8

(18.4–25.5)

Bonneville County, Idaho

520

16.7

1.8

(13.1–20.2)

Canyon County, Idaho

613

25.2

2.2

(20.8–29.5)

Kootenai County, Idaho

567

26.3

2.6

(21.2–31.3)

Nez Perce County, Idaho

382

29.5

2.9

(23.8–35.1)

Twin Falls County, Idaho

432

21.8

2.3

(17.2–26.3)

Cook County, Illinois

2,878

17.9

0.9

(16.1–19.6)

DuPage County, Illinois

256

14.0

2.3

(9.4–18.5)

Allen County, Indiana

585

21.2

2.0

(17.2–25.1)

Lake County, Indiana

994

23.8

2.4

(19.0–28.5)

Marion County, Indiana

1,457

22.7

1.6

(19.5–25.8)

Linn County, Iowa

492

18.6

2.3

(14.0–23.1)

Polk County, Iowa

764

17.7

1.7

(14.3–21.0)

Johnson County, Kansas

1,411

14.8

1.1

(12.6–16.9)

Sedgwick County, Kansas

1,433

22.3

1.3

(19.7–24.8)

Shawnee County, Kansas

622

21.8

2.0

(17.8–25.7)

Wyandotte County, Kansas

608

21.0

2.0

(17.0–24.9)

Jefferson County, Kentucky

410

20.7

2.2

(16.3–25.0)

Caddo Parish, Louisiana

446

21.1

2.5

(16.2–26.0)

East Baton Rouge Parish, Louisiana

718

17.7

1.8

(14.1–21.2)

Jefferson Parish, Louisiana

592

23.6

2.1

(19.4–27.7)

Orleans Parish, Louisiana

375

23.4

2.7

(18.1–28.6)

St. Tammany Parish, Louisiana

371

22.6

2.8

(17.1–28.0)

Androscoggin County, Maine

500

20.3

2.1

(16.1–24.4)

Cumberland County, Maine

1,383

20.2

1.4

(17.4–22.9)

Kennebec County, Maine

651

23.1

2.2

(18.7–27.4)

Penobscot County, Maine

688

25.9

2.0

(21.9–29.8)

Sagadahoc County, Maine

299

23.2

3.0

(17.3–29.0)

York County, Maine

939

20.0

1.5

(17.0–22.9)

Anne Arundel County, Maryland

601

14.3

1.6

(11.1–17.4)

Baltimore County, Maryland

1,049

21.3

1.5

(18.3–24.2)

Cecil County, Maryland

270

23.1

3.2

(16.8–29.3)

Charles County, Maryland

348

16.4

2.2

(12.0–20.7)

Frederick County, Maryland

575

16.2

1.8

(12.6–19.7)

Harford County, Maryland

279

19.5

2.9

(13.8–25.1)

Howard County, Maryland

340

19.0

2.6

(13.9–24.0)

Montgomery County, Maryland

1,059

13.9

1.2

(11.5–16.2)

Prince George´s County, Maryland

796

17.1

1.6

(13.9–20.2)

Queen Anne´s County, Maryland

293

15.2

2.3

(10.6–19.7)

Washington County, Maryland

407

22.9

2.7

(17.6–28.1)


TABLE 60. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

532

26.4

2.6

(21.3–31.4)

Bristol County, Massachusetts

2,912

20.0

1.6

(16.8–23.1)

Essex County, Massachusetts

2,128

19.6

1.7

(16.2–22.9)

Hampden County, Massachusetts

1,585

21.0

1.7

(17.6–24.3)

Hampshire County, Massachusetts

273

15.9

3.2

(9.6–22.1)

Middlesex County, Massachusetts

3,012

17.2

1.2

(14.8–19.5)

Norfolk County, Massachusetts

860

14.4

1.5

(11.4–17.3)

Plymouth County, Massachusetts

685

19.2

2.3

(14.6–23.7)

Suffolk County, Massachusetts

1,757

14.8

1.2

(12.4–17.1)

Worcester County, Massachusetts

2,092

19.7

1.5

(16.7–22.6)

Kent County, Michigan

445

19.7

2.3

(15.1–24.2)

Macomb County, Michigan

516

21.7

2.5

(16.8–26.6)

Oakland County, Michigan

934

17.9

1.5

(14.9–20.8)

Wayne County, Michigan

1,908

25.0

1.5

(22.0–27.9)

Anoka County, Minnesota

397

20.0

2.7

(14.7–25.2)

Dakota County, Minnesota

570

13.8

1.9

(10.0–17.5)

Hennepin County, Minnesota

2,041

14.4

1.3

(11.8–16.9)

Ramsey County, Minnesota

914

20.3

2.9

(14.6–25.9)

Washington County, Minnesota

257

12.7

2.7

(7.4–17.9)

DeSoto County, Mississippi

369

24.0

3.0

(18.1–29.8)

Hinds County, Mississippi

339

24.2

3.3

(17.7–30.6)

Jackson County, Missouri

524

23.0

2.2

(18.6–27.3)

St. Louis County, Missouri

601

21.2

2.8

(15.7–26.6)

St. Louis city, Missouri

643

20.4

2.1

(16.2–24.5)

Flathead County, Montana

696

23.1

2.0

(19.1–27.0)

Lewis and Clark County, Montana

533

25.5

2.3

(20.9–30.0)

Yellowstone County, Montana

483

25.3

2.8

(19.8–30.7)

Adams County, Nebraska

479

17.1

1.9

(13.3–20.8)

Dakota County, Nebraska

741

17.5

1.7

(14.1–20.8)

Douglas County, Nebraska

944

18.7

1.6

(15.5–21.8)

Hall County, Nebraska

585

17.2

1.8

(13.6–20.7)

Lancaster County, Nebraska

846

17.5

1.7

(14.1–20.8)

Lincoln County, Nebraska

542

21.5

2.3

(16.9–26.0)

Madison County, Nebraska

468

17.4

2.2

(13.0–21.7)

Sarpy County, Nebraska

579

19.7

2.5

(14.8–24.6)

Scotts Bluff County, Nebraska

733

18.1

1.8

(14.5–21.6)

Seward County, Nebraska

284

20.8

2.9

(15.1–26.4)

Clark County, Nevada

1,268

19.8

1.3

(17.2–22.3)

Washoe County, Nevada

1,302

22.0

1.5

(19.0–24.9)

Grafton County, New Hampshire

514

17.9

2.1

(13.7–22.0)

Hillsborough County, New Hampshire

1,416

20.1

1.3

(17.5–22.6)

Merrimack County, New Hampshire

636

17.2

2.0

(13.2–21.1)

Rockingham County, New Hampshire

1,015

18.6

1.4

(15.8–21.3)

Strafford County, New Hampshire

587

20.5

2.0

(16.5–24.4)

Atlantic County, New Jersey

916

18.1

1.7

(14.7–21.4)

Bergen County, New Jersey

625

13.7

1.6

(10.5–16.8)

Burlington County, New Jersey

567

19.2

1.9

(15.4–22.9)

Camden County, New Jersey

603

21.1

2.1

(16.9–25.2)

Cape May County, New Jersey

518

18.3

1.9

(14.5–22.0)

Essex County, New Jersey

1,021

16.1

1.4

(13.3–18.8)

Gloucester County, New Jersey

526

18.9

2.2

(14.5–23.2)

Hudson County, New Jersey

1,096

16.5

1.4

(13.7–19.2)

Hunterdon County, New Jersey

512

13.6

1.7

(10.2–16.9)

Mercer County, New Jersey

502

15.9

2.1

(11.7–20.0)

Middlesex County, New Jersey

631

17.4

1.9

(13.6–21.1)

Monmouth County, New Jersey

564

15.2

1.9

(11.4–18.9)

Morris County, New Jersey

698

14.1

1.6

(10.9–17.2)

Ocean County, New Jersey

536

23.7

2.4

(18.9–28.4)

Passaic County, New Jersey

500

15.5

1.9

(11.7–19.2)

Somerset County, New Jersey

536

14.5

1.8

(10.9–18.0)

Sussex County, New Jersey

497

16.0

1.9

(12.2–19.7)

Union County, New Jersey

520

18.5

2.1

(14.3–22.6)

Warren County, New Jersey

477

16.8

2.0

(12.8–20.7)


TABLE 60. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

1,258

22.6

1.6

(19.4–25.7)

Dona Ana County, New Mexico

504

20.6

2.6

(15.5–25.6)

Sandoval County, New Mexico

520

21.7

2.6

(16.6–26.7)

San Juan County, New Mexico

685

22.9

2.5

(18.0–27.8)

Santa Fe County, New Mexico

610

22.2

2.3

(17.6–26.7)

Valencia County, New Mexico

348

25.0

3.0

(19.1–30.8)

Bronx County, New York

435

18.6

2.3

(14.0–23.1)

Erie County, New York

478

25.1

2.6

(20.0–30.1)

Kings County, New York

898

15.6

1.4

(12.8–18.3)

Monroe County, New York

379

22.7

2.5

(17.8–27.6)

Nassau County, New York

475

17.0

2.0

(13.0–20.9)

New York County, New York

1,035

16.0

1.5

(13.0–18.9)

Queens County, New York

791

15.2

1.5

(12.2–18.1)

Suffolk County, New York

590

24.4

2.5

(19.5–29.3)

Westchester County, New York

384

18.3

2.3

(13.7–22.8)

Buncombe County, North Carolina

260

28.6

3.7

(21.3–35.8)

Cabarrus County, North Carolina

308

18.5

2.9

(12.8–24.1)

Catawba County, North Carolina

293

23.8

3.4

(17.1–30.4)

Durham County, North Carolina

621

14.1

1.6

(10.9–17.2)

Gaston County, North Carolina

266

26.5

3.8

(19.0–33.9)

Guilford County, North Carolina

693

18.0

1.6

(14.8–21.1)

Johnston County, North Carolina

276

21.5

2.9

(15.8–27.1)

Mecklenburg County, North Carolina

607

12.5

1.4

(9.7–15.2)

Orange County, North Carolina

299

16.7

2.4

(11.9–21.4)

Randolph County, North Carolina

394

24.2

2.8

(18.7–29.6)

Union County, North Carolina

348

19.6

2.5

(14.7–24.5)

Wake County, North Carolina

710

15.4

1.7

(12.0–18.7)

Burleigh County, North Dakota

557

18.9

2.2

(14.5–23.2)

Cass County, North Dakota

776

11.7

1.3

(9.1–14.2)

Ward County, North Dakota

465

15.5

1.8

(11.9–19.0)

Cuyahoga County, Ohio

719

18.8

1.8

(15.2–22.3)

Franklin County, Ohio

680

23.8

2.2

(19.4–28.1)

Hamilton County, Ohio

723

18.5

2.1

(14.3–22.6)

Lucas County, Ohio

728

26.1

2.1

(21.9–30.2)

Mahoning County, Ohio

727

24.0

2.3

(19.4–28.5)

Montgomery County, Ohio

697

22.6

2.2

(18.2–26.9)

Stark County, Ohio

712

22.9

2.2

(18.5–27.2)

Summit County, Ohio

703

23.5

2.1

(19.3–27.6)

Cleveland County, Oklahoma

434

20.7

2.3

(16.1–25.2)

Oklahoma County, Oklahoma

1,434

26.7

1.5

(23.7–29.6)

Tulsa County, Oklahoma

1,519

24.4

1.4

(21.6–27.1)

Clackamas County, Oregon

450

22.4

2.5

(17.5–27.3)

Lane County, Oregon

508

32.0

2.9

(26.3–37.6)

Multnomah County, Oregon

811

23.0

1.8

(19.4–26.5)

Washington County, Oregon

581

24.4

2.4

(19.6–29.1)

Allegheny County, Pennsylvania

1,376

21.2

1.4

(18.4–23.9)

Lehigh County, Pennsylvania

279

18.2

2.4

(13.4–22.9)

Luzerne County, Pennsylvania

312

25.1

3.1

(19.0–31.1)

Montgomery County, Pennsylvania

342

22.2

2.9

(16.5–27.8)

Northampton County, Pennsylvania

259

16.8

2.5

(11.9–21.7)

Philadelphia County, Pennsylvania

1,394

27.0

1.6

(23.8–30.1)

Westmoreland County, Pennsylvania

335

23.1

2.7

(17.8–28.3)

Bristol County, Rhode Island

277

14.8

2.5

(9.9–19.7)

Kent County, Rhode Island

936

19.6

1.5

(16.6–22.5)

Newport County, Rhode Island

488

19.7

2.6

(14.6–24.7)

Providence County, Rhode Island

4,130

19.7

0.9

(17.9–21.4)

Washington County, Rhode Island

743

18.0

1.8

(14.4–21.5)

Aiken County, South Carolina

473

23.1

2.2

(18.7–27.4)

Beaufort County, South Carolina

675

20.6

2.0

(16.6–24.5)

Berkeley County, South Carolina

355

23.0

4.3

(14.5–31.4)

Charleston County, South Carolina

665

17.5

2.3

(12.9–22.0)

Greenville County, South Carolina

490

21.9

2.8

(16.4–27.3)

Horry County, South Carolina

551

23.7

2.7

(18.4–28.9)


TABLE 60. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

658

25.8

2.9

(20.1–31.4)

Minnehaha County, South Dakota

603

17.7

1.7

(14.3–21.0)

Pennington County, South Dakota

664

24.3

2.0

(20.3–28.2)

Davidson County, Tennessee

418

16.4

2.0

(12.4–20.3)

Hamilton County, Tennessee

384

22.0

2.8

(16.5–27.4)

Knox County, Tennessee

369

22.8

3.1

(16.7–28.8)

Shelby County, Tennessee

392

18.7

2.7

(13.4–23.9)

Sullivan County, Tennessee

459

28.9

2.9

(23.2–34.5)

Bexar County, Texas

965

18.0

1.5

(15.0–20.9)

Dallas County, Texas

388

19.4

2.4

(14.6–24.1)

El Paso County, Texas

865

16.1

1.6

(12.9–19.2)

Fort Bend County, Texas

926

12.6

1.2

(10.2–14.9)

Harris County, Texas

1,451

18.1

1.4

(15.3–20.8)

Hidalgo County, Texas

594

18.8

1.9

(15.0–22.5)

Lubbock County, Texas

750

20.1

1.8

(16.5–23.6)

Midland County, Texas

521

21.7

2.4

(16.9–26.4)

Potter County, Texas

336

22.2

2.8

(16.7–27.6)

Randall County, Texas

459

19.1

2.4

(14.3–23.8)

Smith County, Texas

672

19.9

2.1

(15.7–24.0)

Tarrant County, Texas

600

20.8

2.4

(16.0–25.5)

Travis County, Texas

761

15.1

2.9

(9.4–20.7)

Val Verde County, Texas

558

17.4

2.5

(12.5–22.3)

Webb County, Texas

916

14.3

1.3

(11.7–16.8)

Wichita County, Texas

677

25.2

2.5

(20.3–30.1)

Davis County, Utah

873

19.1

1.9

(15.3–22.8)

Salt Lake County, Utah

3,279

19.7

0.9

(17.9–21.4)

Summit County, Utah

453

14.2

1.9

(10.4–17.9)

Tooele County, Utah

564

17.4

2.0

(13.4–21.3)

Utah County, Utah

1,109

19.3

1.7

(15.9–22.6)

Weber County, Utah

772

19.7

1.8

(16.1–23.2)

Chittenden County, Vermont

1,425

19.5

1.4

(16.7–22.2)

Franklin County, Vermont

480

24.3

2.2

(19.9–28.6)

Orange County, Vermont

354

21.2

2.4

(16.4–25.9)

Rutland County, Vermont

657

24.8

2.1

(20.6–28.9)

Washington County, Vermont

660

20.5

2.0

(16.5–24.4)

Windsor County, Vermont

682

20.3

1.7

(16.9–23.6)

Benton County, Washington

390

23.0

2.5

(18.1–27.9)

Clark County, Washington

1,091

22.9

1.7

(19.5–26.2)

Franklin County, Washington

253

19.4

4.0

(11.5–27.2)

King County, Washington

3,028

21.4

0.9

(19.6–23.1)

Kitsap County, Washington

917

28.8

1.9

(25.0–32.5)

Pierce County, Washington

1,714

27.4

1.4

(24.6–30.1)

Snohomish County, Washington

1,640

25.2

1.3

(22.6–27.7)

Spokane County, Washington

1,213

30.6

1.9

(26.8–34.3)

Thurston County, Washington

775

31.3

2.2

(26.9–35.6)

Yakima County, Washington

734

23.3

1.9

(19.5–27.0)

Kanawha County, West Virginia

487

24.3

2.4

(19.5–29.0)

Milwaukee County, Wisconsin

1,215

21.7

2.2

(17.3–26.0)

Laramie County, Wyoming

911

24.3

1.8

(20.7–27.8)

Natrona County, Wyoming

766

20.6

1.8

(17.0–24.1)

Median

20.3

Range

11.7-32.0

Abbreviations: SE = standard error; CI = confidence interval.

* Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 61. Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

7,661

10.5

0.5

(9.6–11.5)

Alaska

1,961

5.3

0.7

(4.0–6.6)

Arizona

5,752

7.9

0.5

(6.8–8.9)

Arkansas

4,023

8.6

0.5

(7.6–9.6)

California

17,775

6.9

0.2

(6.5–7.4)

Colorado

11,656

6.0

0.2

(5.5–6.4)

Connecticut

6,775

6.4

0.3

(5.8–7.1)

Delaware

4,246

8.3

0.5

(7.3–9.2)

District of Columbia

3,970

8.8

0.5

(7.8–9.9)

Florida

35,064

9.3

0.3

(8.7–9.8)

Georgia

5,782

8.0

0.5

(7.1–8.9)

Hawaii

6,549

6.0

0.4

(5.3–6.8)

Idaho

7,005

7.5

0.4

(6.7–8.3)

Illinois

5,201

6.8

0.4

(6.0–7.7)

Indiana

10,208

7.8

0.3

(7.1–8.4)

Iowa

6,101

6.9

0.4

(6.1–7.6)

Kansas

8,565

8.4

0.4

(7.7–9.1)

Kentucky

8,056

10.3

0.5

(9.4–11.3)

Louisiana

7,031

8.8

0.4

(8.0–9.6)

Maine

8,126

7.1

0.3

(6.5–7.7)

Maryland

9,181

7.0

0.3

(6.3–7.6)

Massachusetts

16,284

7.1

0.3

(6.5–7.6)

Michigan

8,859

8.0

0.3

(7.3–8.6)

Minnesota

8,961

5.9

0.4

(5.1–6.6)

Mississippi

8,087

10.6

0.5

(9.7–11.6)

Missouri

5,426

9.4

0.6

(8.2–10.5)

Montana

7,300

7.4

0.4

(6.6–8.2)

Nebraska

16,379

6.6

0.4

(5.9–7.3)

Nevada

3,909

7.4

0.5

(6.4–8.5)

New Hampshire

6,044

6.7

0.4

(6.0–7.5)

New Jersey

12,430

6.6

0.3

(6.0–7.1)

New Mexico

6,993

8.9

0.4

(8.1–9.7)

New York

8,939

7.9

0.3

(7.3–8.5)

North Carolina

12,132

8.6

0.3

(8.0–9.3)

North Dakota

4,760

6.0

0.4

(5.2–6.8)

Ohio

9,851

8.5

0.4

(7.8–9.2)

Oklahoma

7,744

10.2

0.4

(9.4–10.9)

Oregon

5,056

7.9

0.5

(6.9–8.9)

Pennsylvania

11,218

8.5

0.3

(7.8–9.1)

Rhode Island

6,597

7.6

0.4

(6.8–8.3)

South Carolina

9,419

9.7

0.5

(8.8–10.7)

South Dakota

6,720

6.7

0.4

(6.0–7.4)

Tennessee

5,758

9.5

0.5

(8.5–10.6)

Texas

18,054

7.5

0.4

(6.8–8.2)

Utah

10,158

5.7

0.3

(5.0–6.3)

Vermont

6,790

6.3

0.3

(5.7–6.8)

Virginia

5,386

7.5

0.5

(6.5–8.4)

Washington

19,601

7.9

0.3

(7.4–8.4)

West Virginia

4,401

10.5

0.5

(9.5–11.6)

Wisconsin

4,779

6.1

0.4

(5.3–6.9)

Wyoming

5,837

6.5

0.3

(5.9–7.1)

Guam

782

2.8

0.6

(1.7–4.0)

Puerto Rico

3,542

7.3

0.5

(6.4–8.2)

Virgin Islands

1,819

4.3

0.5

(3.3–5.4)

Median

7.5

Range

2.8-10.6

Abbreviations: SE = standard error; CI = confidence interval.

* Includes use of a cane, wheelchair, special bed, or special telephone occasionally or in certain circumstances.


TABLE 62. Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

809

10.0

1.4

(7.2–12.7)

Albuquerque, New Mexico

2,194

9.3

0.7

(7.9–10.6)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

1,089

6.2

0.7

(4.8–7.5)

Amarillo, Texas

828

6.7

0.9

(4.9–8.4)

Arcadia, Florida

502

8.3

1.5

(5.3–11.2)

Asheville, North Carolina

548

10.4

1.3

(7.8–12.9)

Atlanta-Sandy Springs-Marietta, Georgia

2,349

6.5

0.8

(4.9–8.0)

Atlantic City, New Jersey

921

7.6

1.2

(5.2–9.9)

Augusta-Richmond County, Georgia-South Carolina

874

8.3

1.2

(5.9–10.6)

Augusta-Waterville, Maine

651

6.4

1.0

(4.4–8.3)

Austin-Round Rock, Texas

976

4.7

0.8

(3.1–6.2)

Baltimore-Towson, Maryland

3,341

8.0

0.6

(6.8–9.1)

Bangor, Maine

692

9.0

1.1

(6.8–11.1)

Barre, Vermont

670

7.5

1.1

(5.3–9.6)

Baton Rouge, Louisiana

1,201

7.1

0.8

(5.5–8.6)

Bethesda-Gaithersburg-Frederick, Maryland

1,640

5.0

0.6

(3.8–6.1)

Billings, Montana

537

6.2

1.0

(4.2–8.1)

Birmingham-Hoover, Alabama

1,198

9.1

0.9

(7.3–10.8)

Bismarck, North Dakota

771

5.3

0.7

(3.9–6.6)

Boise City-Nampa, Idaho

1,662

7.3

0.7

(5.9–8.6)

Boston-Quincy, Massachusetts

3,302

6.8

0.5

(5.8–7.7)

Bremerton-Silverdale, Washington

921

7.9

1.1

(5.7–10.0)

Bridgeport-Stamford-Norwalk, Connecticut

2,184

5.1

0.6

(3.9–6.2)

Buffalo-Cheektowaga-Tonawanda, New York

609

8.8

1.2

(6.4–11.1)

Burlington-South Burlington, Vermont

1,996

5.1

0.5

(4.1–6.0)

Cambridge-Newton-Framingham, Massachusetts

3,024

6.3

0.6

(5.1–7.4)

Camden, New Jersey

1,698

8.1

0.8

(6.5–9.6)

Canton-Massillon, Ohio

747

7.7

1.1

(5.5–9.8)

Cape Coral-Fort Myers, Florida

517

10.0

1.4

(7.2–12.7)

Casper, Wyoming

768

8.6

1.0

(6.6–10.5)

Cedar Rapids, Iowa

559

7.7

1.4

(4.9–10.4)

Charleston, West Virginia

770

10.1

1.4

(7.3–12.8)

Charleston-North Charleston, South Carolina

1,152

8.8

1.3

(6.2–11.3)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,710

6.9

0.7

(5.5–8.2)

Chattanooga, Tennessee-Georgia

536

11.4

2.0

(7.4–15.3)

Cheyenne, Wyoming

914

9.3

1.0

(7.3–11.2)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

5,020

5.6

0.4

(4.8–6.3)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,797

6.9

0.7

(5.5–8.2)

Cleveland-Elyria-Mentor, Ohio

1,103

7.5

0.8

(5.9–9.0)

Coeur d´Alene, Idaho

569

6.1

1.0

(4.1–8.0)

Colorado Springs, Colorado

1,168

7.2

0.8

(5.6–8.7)

Columbia, South Carolina

1,140

10.1

1.4

(7.3–12.8)

Columbus, Ohio

1,388

7.4

0.7

(6.0–8.7)

Concord, New Hampshire

641

7.0

1.2

(4.6–9.3)

Dallas-Plano-Irving, Texas

719

7.5

1.2

(5.1–9.8)

Dayton, Ohio

854

10.9

1.8

(7.3–14.4)

Del Rio, Texas

559

7.6

1.4

(4.8–10.3)

Deltona-Daytona Beach-Ormond Beach, Florida

861

10.8

1.2

(8.4–13.1)

Denver-Aurora, Colorado

4,836

5.4

0.3

(4.8–5.9)

Des Moines-West Des Moines, Iowa

1,006

6.9

0.9

(5.1–8.6)

Detroit-Livonia-Dearborn, Michigan

1,914

10.0

0.8

(8.4–11.5)

Dover, Delaware

1,255

9.1

0.9

(7.3–10.8)

Durham, North Carolina

1,034

7.2

1.1

(5.0–9.3)

Edison, New Jersey

2,268

6.5

0.6

(5.3–7.6)

El Paso, Texas

872

6.6

0.9

(4.8–8.3)

Eugene-Springfield, Oregon

512

11.9

2.2

(7.5–16.2)

Evansville, Indiana-Kentucky

536

8.6

1.3

(6.0–11.1)

Fargo, North Dakota-Minnesota

834

4.5

1.0

(2.5–6.4)

Farmington, New Mexico

686

5.3

0.9

(3.5–7.0)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

701

6.4

1.0

(4.4–8.3)

Fort Collins-Loveland, Colorado

562

4.6

1.0

(2.6–6.5)

Fort Wayne, Indiana

721

7.6

1.1

(5.4–9.7)

Fort Worth-Arlington, Texas

736

7.4

1.3

(4.8–9.9)


TABLE 62. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

954

6.3

1.1

(4.1–8.4)

Grand Island, Nebraska

861

8.4

1.1

(6.2–10.5)

Grand Rapids-Wyoming, Michigan

623

6.0

1.0

(4.0–7.9)

Greensboro-High Point, North Carolina

1,162

7.9

0.9

(6.1–9.6)

Greenville, South Carolina

781

10.1

1.5

(7.1–13.0)

Hagerstown-Martinsburg, Maryland-West Virginia

645

8.4

1.2

(6.0–10.7)

Hartford-West Hartford-East Hartford, Connecticut

2,021

6.5

0.6

(5.3–7.6)

Hastings, Nebraska

588

6.1

1.1

(3.9–8.2)

Helena, Montana

640

7.8

1.4

(5.0–10.5)

Hickory-Morganton-Lenoir, North Carolina

601

8.8

1.3

(6.2–11.3)

Hilo, Hawaii

1,479

7.0

0.8

(5.4–8.5)

Hilton Head Island-Beaufort, South Carolina

800

5.6

0.9

(3.8–7.3)

Homosassa Springs, Florida

534

15.5

1.9

(11.7–19.2)

Honolulu, Hawaii

2,960

5.7

0.5

(4.7–6.6)

Houston-Sugar Land-Baytown, Texas

2,740

6.1

0.6

(4.9–7.2)

Huntington-Ashland, West Virginia-Kentucky-Ohio

659

13.0

1.6

(9.8–16.1)

Idaho Falls, Idaho

667

6.3

1.0

(4.3–8.2)

Indianapolis-Carmel, Indiana

2,255

7.1

0.7

(5.7–8.4)

Jackson, Mississippi

761

10.3

1.3

(7.7–12.8)

Jacksonville, Florida

2,592

10.3

1.0

(8.3–12.2)

Kahului-Wailuku, Hawaii

1,465

5.8

0.8

(4.2–7.3)

Kalispell, Montana

701

5.6

0.8

(4.0–7.1)

Kansas City, Missouri-Kansas

3,382

7.5

0.6

(6.3–8.6)

Kapaa, Hawaii

645

5.3

0.9

(3.5–7.0)

Kennewick-Richland-Pasco, Washington

647

4.9

0.8

(3.3–6.4)

Key West-Marathon, Florida

504

6.6

1.3

(4.0–9.1)

Kingsport-Bristol, Tennessee-Virginia

655

11.7

1.8

(8.1–15.2)

Knoxville, Tennessee

529

10.5

1.7

(7.1–13.8)

Lake City, Florida

566

10.9

1.5

(7.9–13.8)

Lakeland-Winter Haven, Florida

519

9.4

1.4

(6.6–12.1)

Laredo, Texas

924

7.4

0.8

(5.8–8.9)

Las Cruces, New Mexico

504

8.5

1.3

(5.9–11.0)

Las Vegas-Paradise, Nevada

1,270

6.6

0.7

(5.2–7.9)

Lebanon, New Hampshire-Vermont

1,556

6.4

0.6

(5.2–7.5)

Lewiston, Idaho-Washington

601

8.7

1.2

(6.3–11.0)

Lewiston-Auburn, Maine

502

6.5

1.1

(4.3–8.6)

Lincoln, Nebraska

1,134

5.2

0.8

(3.6–6.7)

Little Rock-North Little Rock, Arkansas

823

6.5

0.9

(4.7–8.2)

Los Angeles-Long Beach-Glendale, California

2,617

6.0

0.5

(5.0–6.9)

Louisville, Kentucky-Indiana

909

9.5

1.2

(7.1–11.8)

Lubbock, Texas

780

9.9

1.8

(6.3–13.4)

Manchester-Nashua, New Hampshire

1,422

5.6

0.6

(4.4–6.7)

McAllen-Edinburg-Mission, Texas

598

6.8

1.0

(4.8–8.7)

Memphis, Tennessee-Mississippi-Arkansas

1,152

8.0

1.0

(6.0–9.9)

Miami-Fort Lauderdale-Miami Beach, Florida

1,030

5.5

0.7

(4.1–6.8)

Midland, Texas

524

6.1

1.0

(4.1–8.0)

Milwaukee-Waukesha-West Allis, Wisconsin

1,533

6.6

0.8

(5.0–8.1)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

4,863

5.1

0.5

(4.1–6.0)

Minot, North Dakota

555

4.6

0.9

(2.8–6.3)

Mobile, Alabama

681

8.7

1.2

(6.3–11.0)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

555

9.7

1.6

(6.5–12.8)

Naples-Marco Island, Florida

522

7.1

1.3

(4.5–9.6)

Nashville-Davidson-Murfreesboro, Tennessee

830

7.7

1.4

(4.9–10.4)

Nassau-Suffolk, New York

1,070

6.5

0.9

(4.7–8.2)

Newark-Union, New Jersey-Pennsylvania

3,326

6.4

0.5

(5.4–7.3)

New Haven-Milford, Connecticut

1,676

6.6

0.7

(5.2–7.9)

New Orleans-Metairie-Kenner, Louisiana

1,537

8.8

0.9

(7.0–10.5)

New York-White Plains-Wayne, New York-New Jersey

6,202

6.9

0.4

(6.1–7.6)

Norfolk, Nebraska

677

7.9

1.5

(4.9–10.8)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

578

1,133

6.8

8.7

1.1

0.8

(4.6–8.9)

(7.1 – 10.2)

Ocala, Florida

589

14.9

2.0

(10.9–18.8)

Ocean City, New Jersey

521

7.4

1.1

(5.2–9.5)


TABLE 62. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

1,702

6.3

1.2

(3.9–8.6)

Oklahoma City, Oklahoma

2,476

9.7

0.6

(8.5–10.8)

Olympia, Washington

777

9.9

1.4

(7.1–12.6)

Omaha-Council Bluffs, Nebraska-Iowa

2,358

6.4

0.7

(5.0–7.7)

Orlando-Kissimmee, Florida

2,676

8.3

0.7

(6.9–9.6)

Palm Bay-Melbourne-Titusville, Florida

528

10.7

1.5

(7.7–13.6)

Panama City-Lynn Haven, Florida

546

11.2

2.3

(6.6–15.7)

Peabody, Massachusetts

2,132

6.7

0.9

(4.9 – 8.4)

Pensacola-Ferry Pass-Brent, Florida

1,017

9.3

1.1

(7.1–11.4)

Philadelphia, Pennsylvania

2,367

8.9

0.8

(7.3–10.4)

Phoenix-Mesa-Scottsdale, Arizona

1,688

5.7

0.6

(4.5–6.8)

Pittsburgh, Pennsylvania

2,420

7.6

0.6

(6.4–8.7)

Portland-South Portland-Biddeford, Maine

2,630

6.1

0.5

(5.1–7.0)

Portland-Vancouver-Beaverton, Oregon-Washington

3,399

7.3

0.6

(6.1–8.4)

Port St. Lucie-Fort Pierce, Florida

1,022

10.5

1.2

(8.1–12.8)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

9,527

7.1

0.3

(6.5–7.6)

Provo-Orem, Utah

1,176

4.9

0.8

(3.3–6.4)

Raleigh-Cary, North Carolina

1,027

6.3

0.8

(4.7–7.8)

Rapid City, South Dakota

849

7.7

1.0

(5.7–9.6)

Reno-Sparks, Nevada

1,325

8.5

0.9

(6.7–10.2)

Richmond, Virginia

803

7.2

1.1

(5.0–9.3)

Riverside-San Bernardino-Ontario, California

1,878

6.5

0.6

(5.3–7.6)

Rochester, New York

570

8.0

1.2

(5.6–10.3)

Rockingham County-Strafford County, New Hampshire

1,608

6.7

0.8

(5.1–8.2)

Rutland, Vermont

658

6.3

0.9

(4.5–8.0)

Sacramento-Arden-Arcade-Roseville, California

1,294

7.0

0.8

(5.4–8.5)

St. Louis, Missouri-Illinois

1,751

9.2

1.1

(7.0–11.3)

Salt Lake City, Utah

4,309

5.3

0.4

(4.5–6.0)

San Antonio, Texas

1,130

9.0

1.1

(6.8–11.1)

San Diego-Carlsbad-San Marcos, California

1,695

6.1

0.7

(4.7–7.4)

San Francisco-Oakland-Fremont, California

2,359

7.4

0.6

(6.2–8.5)

San Jose-Sunnyvale-Santa Clara, California

913

7.2

0.9

(5.4–8.9)

Santa Ana-Anaheim-Irvine, California

1,446

6.3

0.8

(4.7–7.8)

Santa Fe, New Mexico

609

8.6

1.5

(5.6–11.5)

Scottsbluff, Nebraska

760

6.9

1.0

(4.9–8.8)

Scranton-Wilkes-Barre, Pennsylvania

555

8.6

1.2

(6.2–10.9)

Seaford, Delaware

1,240

9.0

0.9

(7.2–10.7)

Seattle-Bellevue-Everett, Washington

4,688

7.0

0.5

(6.0–7.9)

Sebring, Florida

522

11.3

1.8

(7.7–14.8)

Shreveport-Bossier City, Louisiana

683

8.1

1.1

(5.9–10.2)

Sioux City, Iowa-Nebraska-South Dakota

1,221

6.1

1.1

(3.9–8.2)

Sioux Falls, South Dakota

837

5.4

0.7

(4.0–6.7)

Spokane, Washington

1,217

8.4

1.0

(6.4–10.3)

Springfield, Massachusetts

2,052

7.8

1.2

(5.4–10.1)

Tacoma, Washington

1,725

8.6

0.8

(7.0–10.1)

Tallahassee, Florida

2,045

8.4

1.1

(6.2–10.5)

Tampa-St. Petersburg-Clearwater, Florida

2,034

11.0

1.1

(8.8–13.1)

Toledo, Ohio

864

10.0

1.3

(7.4–12.5)

Topeka, Kansas

836

8.9

1.0

(6.9–10.8)

Trenton-Ewing, New Jersey

504

4.7

1.0

(2.7–6.6)

Tucson, Arizona

698

9.1

1.2

(6.7–11.4)

Tulsa, Oklahoma

2,144

9.2

0.7

(7.8–10.5)

Tuscaloosa, Alabama

518

12.0

2.1

(7.8–16.1)

Twin Falls, Idaho

540

8.8

1.5

(5.8–11.7)

Tyler, Texas

673

8.5

1.0

(6.5–10.4)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

1,104

8.8

1.1

(6.6–10.9)

Warren-Troy-Farmington Hills, Michigan

1,800

6.6

0.6

(5.4–7.7)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia

6,443

6.2

0.6

(5.0–7.3)

Wauchula, Florida

529

6.0

1.0

(4.0–7.9)

West Palm Beach-Boca Raton-Boynton Beach, Florida

553

7.7

1.3

(5.1–10.2)

Wichita, Kansas

1,853

8.3

0.7

(6.9–9.6)

Wichita Falls, Texas

829

7.8

0.9

(6.0–9.5)

Wilmington, Delaware-Maryland-New Jersey

2,217

7.6

0.6

(6.4–8.7)


TABLE 62. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

2,099

8.0

0.9

(6.2–9.7)

Yakima, Washington

740

8.2

1.2

(5.8–10.5)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

1,063

7.0

1.2

(4.6–9.3)

Median

7.5

Range

4.5-15.5

Abbreviations: SE = standard error; CI = confidence interval.

* Includes use of a cane, wheelchair, special bed, or special telephone occasionally or in certain circumstances.

Metropolitan division.


TABLE 63. Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

601

10.5

1.3

(7.9–13.0)

Mobile County, Alabama

681

8.7

1.2

(6.3–11.0)

Tuscaloosa County, Alabama

435

11.4

2.1

(7.2–15.5)

Maricopa County, Arizona

1,301

5.7

0.6

(4.5–6.8)

Pima County, Arizona

698

9.1

1.2

(6.7–11.4)

Pinal County, Arizona

387

5.9

1.3

(3.3–8.4)

Benton County, Arkansas

362

5.5

1.2

(3.1–7.8)

Pulaski County, Arkansas

560

7.2

1.2

(4.8–9.5)

Washington County, Arkansas

298

9.1

1.9

(5.3–12.8)

Alameda County, California

757

6.4

0.9

(4.6–8.1)

Contra Costa County, California

632

7.5

1.1

(5.3–9.6)

Los Angeles County, California

2,617

6.0

0.5

(5.0–6.9)

Orange County, California

1,446

6.3

0.8

(4.7–7.8)

Placer County, California

255

6.6

1.4

(3.8–9.3)

Riverside County, California

932

5.7

0.7

(4.3–7.0)

Sacramento County, California

752

7.7

1.1

(5.5–9.8)

San Bernardino County, California

946

7.6

1.0

(5.6–9.5)

San Diego County, California

1,695

6.1

0.7

(4.7–7.4)

San Francisco County, California

386

7.6

1.4

(4.8–10.3)

San Mateo County, California

385

7.5

1.6

(4.3–10.6)

Santa Clara County, California

875

7.1

1.0

(5.1–9.0)

Adams County, Colorado

809

5.7

0.9

(3.9–7.4)

Arapahoe County, Colorado

873

5.8

0.8

(4.2–7.3)

Denver County, Colorado

878

6.6

0.7

(5.2–7.9)

Douglas County, Colorado

578

3.2

1.2

(0.8–5.5)

El Paso County, Colorado

1,035

7.3

0.8

(5.7–8.8)

Jefferson County, Colorado

1,168

5.2

0.6

(4.0–6.3)

Larimer County, Colorado

562

4.6

1.0

(2.6–6.5)

Fairfield County, Connecticut

2,184

5.1

0.6

(3.9–6.2)

Hartford County, Connecticut

1,502

6.8

0.7

(5.4–8.1)

Middlesex County, Connecticut

264

5.3

1.2

(2.9–7.6)

New Haven County, Connecticut

1,676

6.6

0.7

(5.2–7.9)

Tolland County, Connecticut

255

6.5

1.6

(3.3–9.6)

Kent County, Delaware

1,255

9.1

0.9

(7.3–10.8)

New Castle County, Delaware

1,751

7.5

0.6

(6.3–8.6)

Sussex County, Delaware

1,240

9.0

0.9

(7.2–10.7)

District of Columbia, District of Columbia

3,970

7.8

0.5

(6.8–8.7)

Alachua County, Florida

536

6.2

1.2

(3.8–8.5)

Baker County, Florida

510

11.2

2.8

(5.7–16.6)

Bay County, Florida

546

11.2

2.3

(6.6–15.7)

Brevard County, Florida

528

10.7

1.5

(7.7–13.6)

Broward County, Florida

526

6.2

1.1

(4.0–8.3)

Citrus County, Florida

534

15.5

1.9

(11.7–19.2)

Clay County, Florida

487

9.0

1.3

(6.4–11.5)

Collier County, Florida

522

7.1

1.3

(4.5–9.6)

Columbia County, Florida

566

10.9

1.5

(7.9–13.8)

DeSoto County, Florida

502

8.3

1.5

(5.3–11.2)

Duval County, Florida

551

11.0

1.5

(8.0–13.9)

Escambia County, Florida

521

8.8

1.5

(5.8–11.7)

Gadsden County, Florida

510

10.6

3.4

(3.9–17.2)

Gilchrist County, Florida

418

9.0

1.6

(5.8–12.1)

Hardee County, Florida

529

6.0

1.0

(4.0–7.9)

Hernando County, Florida

490

12.2

1.9

(8.4–15.9)

Highlands County, Florida

522

11.3

1.8

(7.7–14.8)

Hillsborough County, Florida

506

10.5

2.0

(6.5–14.4)

Jefferson County, Florida

502

8.5

1.7

(5.1–11.8)

Lake County, Florida

607

10.6

1.5

(7.6–13.5)

Lee County, Florida

517

10.0

1.4

(7.2–12.7)

Leon County, Florida

497

8.3

1.6

(5.1–11.4)

Manatee County, Florida

525

9.2

1.3

(6.6–11.7)

Marion County, Florida

589

14.9

2.0

(10.9–18.8)

Martin County, Florida

518

10.3

1.7

(6.9–13.6)

Miami-Dade County, Florida

504

5.9

1.0

(3.9–7.8)


TABLE 63. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

504

6.6

1.3

(4.0–9.1)

Nassau County, Florida

522

7.1

1.3

(4.5–9.6)

Orange County, Florida

1,008

8.4

1.1

(6.2–10.5)

Osceola County, Florida

569

6.2

1.2

(3.8–8.5)

Palm Beach County, Florida

553

7.7

1.3

(5.1–10.2)

Pasco County, Florida

541

11.8

1.8

(8.2–15.3)

Pinellas County, Florida

497

9.6

1.4

(6.8–12.3)

Polk County, Florida

519

9.4

1.4

(6.6–12.1)

St. Johns County, Florida

522

7.8

1.3

(5.2–10.3)

St. Lucie County, Florida

504

10.8

1.5

(7.8–13.7)

Santa Rosa County, Florida

496

10.5

1.6

(7.3–13.6)

Sarasota County, Florida

608

8.6

1.1

(6.4–10.7)

Seminole County, Florida

492

7.5

1.3

(4.9–10.0)

Volusia County, Florida

861

10.8

1.2

(8.4–13.1)

Wakulla County, Florida

536

12.0

2.3

(7.4–16.5)

Cobb County, Georgia

254

6.0

1.6

(2.8–9.1)

DeKalb County, Georgia

341

6.1

1.4

(3.3–8.8)

Fulton County, Georgia

330

8.0

2.2

(3.6–12.3)

Gwinnett County, Georgia

250

5.5

1.6

(2.3–8.6)

Hawaii County, Hawaii

1,479

7.0

0.8

(5.4–8.5)

Honolulu County, Hawaii

2,960

5.7

0.5

(4.7–6.6)

Kauai County, Hawaii

645

5.3

0.9

(3.5–7.0)

Maui County, Hawaii

1,465

5.8

0.8

(4.2–7.3)

Ada County, Idaho

865

7.3

1.0

(5.3–9.2)

Bonneville County, Idaho

523

6.8

1.1

(4.6–8.9)

Canyon County, Idaho

619

7.0

1.1

(4.8–9.1)

Kootenai County, Idaho

569

6.1

1.0

(4.1–8.0)

Nez Perce County, Idaho

381

7.6

1.4

(4.8–10.3)

Twin Falls County, Idaho

434

8.2

1.6

(5.0–11.3)

Cook County, Illinois

2,886

6.5

0.5

(5.5–7.4)

DuPage County, Illinois

256

3.0

1.0

(1.0–4.9)

Allen County, Indiana

586

7.9

1.3

(5.3–10.4)

Lake County, Indiana

1,003

11.1

1.7

(7.7–14.4)

Marion County, Indiana

1,464

8.5

1.1

(6.3–10.6)

Linn County, Iowa

495

7.8

1.6

(4.6–10.9)

Polk County, Iowa

767

6.6

0.9

(4.8–8.3)

Johnson County, Kansas

1,416

5.4

0.7

(4.0–6.7)

Sedgwick County, Kansas

1,437

9.4

0.9

(7.6–11.1)

Shawnee County, Kansas

624

7.8

1.0

(5.8–9.7)

Wyandotte County, Kansas

608

9.4

1.3

(6.8–11.9)

Jefferson County, Kentucky

410

10.1

1.7

(6.7–13.4)

Caddo Parish, Louisiana

447

9.1

1.4

(6.3–11.8)

East Baton Rouge Parish, Louisiana

722

6.3

1.0

(4.3–8.2)

Jefferson Parish, Louisiana

595

7.0

1.1

(4.8–9.1)

Orleans Parish, Louisiana

377

10.2

2.2

(5.8–14.5)

St. Tammany Parish, Louisiana

372

10.2

1.9

(6.4–13.9)

Androscoggin County, Maine

502

6.5

1.1

(4.3–8.6)

Cumberland County, Maine

1,390

5.6

0.8

(4.0–7.1)

Kennebec County, Maine

651

6.4

1.0

(4.4–8.3)

Penobscot County, Maine

692

9.0

1.1

(6.8–11.1)

Sagadahoc County, Maine

299

8.9

2.0

(4.9–12.8)

York County, Maine

941

6.2

0.8

(4.6–7.7)

Anne Arundel County, Maryland

602

5.6

1.1

(3.4–7.7)

Baltimore County, Maryland

1,054

8.9

1.0

(6.9–10.8)

Cecil County, Maryland

270

5.2

1.2

(2.8–7.5)

Charles County, Maryland

349

5.8

1.2

(3.4–8.1)

Frederick County, Maryland

577

5.3

1.1

(3.1–7.4)

Harford County, Maryland

280

7.7

1.8

(4.1–11.2)

Howard County, Maryland

342

8.7

2.0

(4.7–12.6)

Montgomery County, Maryland

1,063

5.0

0.7

(3.6–6.3)

Prince George´s County, Maryland

796

5.9

0.8

(4.3–7.4)

Queen Anne´s County, Maryland

295

3.3

1.0

(1.3–5.2)

Washington County, Maryland

408

9.5

1.6

(6.3–12.6)


TABLE 63. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

534

10.5

1.6

(7.3–13.6)

Bristol County, Massachusetts

2,930

6.5

0.7

(5.1–7.8)

Essex County, Massachusetts

2,132

6.6

0.9

(4.8–8.3)

Hampden County, Massachusetts

1,593

8.3

1.2

(5.9–10.6)

Hampshire County, Massachusetts

275

4.9

1.1

(2.7–7.0)

Middlesex County, Massachusetts

3,024

5.9

0.5

(4.9–6.8)

Norfolk County, Massachusetts

859

6.4

0.9

(4.6–8.1)

Plymouth County, Massachusetts

687

7.7

1.2

(5.3–10.0)

Suffolk County, Massachusetts

1,756

7.3

1.1

(5.1–9.4)

Worcester County, Massachusetts

2,099

8.0

0.9

(6.2–9.7)

Kent County, Michigan

446

6.0

1.1

(3.8–8.1)

Macomb County, Michigan

516

8.5

1.4

(5.7–11.2)

Oakland County, Michigan

936

5.9

0.8

(4.3–7.4)

Wayne County, Michigan

1,914

10.0

0.8

(8.4–11.5)

Anoka County, Minnesota

397

7.1

1.7

(3.7–10.4)

Dakota County, Minnesota

569

3.7

0.9

(1.9–5.4)

Hennepin County, Minnesota

2,053

4.2

0.5

(3.2–5.1)

Ramsey County, Minnesota

919

7.9

1.9

(4.1–11.6)

Washington County, Minnesota

258

6.2

2.2

(1.8–10.5)

DeSoto County, Mississippi

370

7.3

1.6

(4.1–10.4)

Hinds County, Mississippi

340

13.9

2.9

(8.2–19.5)

Jackson County, Missouri

526

9.2

1.3

(6.6–11.7)

St. Louis County, Missouri

605

11.5

2.5

(6.6–16.4)

St. Louis city, Missouri

648

9.8

1.3

(7.2–12.3)

Flathead County, Montana

701

5.6

0.8

(4.0–7.1)

Lewis and Clark County, Montana

532

8.1

1.2

(5.7–10.4)

Yellowstone County, Montana

486

6.5

1.0

(4.5–8.4)

Adams County, Nebraska

479

6.2

1.1

(4.0–8.3)

Dakota County, Nebraska

741

7.1

1.2

(4.7–9.4)

Douglas County, Nebraska

950

7.0

1.1

(4.8–9.1)

Hall County, Nebraska

586

8.7

1.4

(5.9–11.4)

Lancaster County, Nebraska

849

5.0

0.8

(3.4–6.5)

Lincoln County, Nebraska

546

7.1

1.2

(4.7–9.4)

Madison County, Nebraska

469

8.5

1.9

(4.7–12.2)

Sarpy County, Nebraska

579

4.9

1.0

(2.9–6.8)

Scotts Bluff County, Nebraska

737

7.0

1.0

(5.0–8.9)

Seward County, Nebraska

285

8.9

1.7

(5.5–12.2)

Clark County, Nevada

1,270

6.6

0.7

(5.2–7.9)

Washoe County, Nevada

1,305

8.3

0.9

(6.5–10.0)

Grafton County, New Hampshire

517

6.4

1.0

(4.4–8.3)

Hillsborough County, New Hampshire

1,422

5.6

0.6

(4.4–6.7)

Merrimack County, New Hampshire

641

7.0

1.2

(4.6–9.3)

Rockingham County, New Hampshire

1,020

6.7

1.0

(4.7–8.6)

Strafford County, New Hampshire

588

6.5

1.0

(4.5–8.4)

Atlantic County, New Jersey

921

7.6

1.2

(5.2–9.9)

Bergen County, New Jersey

627

4.3

0.8

(2.7–5.8)

Burlington County, New Jersey

568

8.0

1.2

(5.6–10.3)

Camden County, New Jersey

603

8.5

1.2

(6.1–10.8)

Cape May County, New Jersey

521

7.4

1.1

(5.2–9.5)

Essex County, New Jersey

1,025

7.4

1.0

(5.4–9.3)

Gloucester County, New Jersey

527

6.0

1.0

(4.0–7.9)

Hudson County, New Jersey

1,101

7.4

0.9

(5.6–9.1)

Hunterdon County, New Jersey

515

2.7

0.6

(1.5–3.8)

Mercer County, New Jersey

504

4.7

1.0

(2.7–6.6)

Middlesex County, New Jersey

632

5.6

1.1

(3.4–7.7)

Monmouth County, New Jersey

564

6.3

1.1

(4.1–8.4)

Morris County, New Jersey

702

4.8

0.8

(3.2–6.3)

Ocean County, New Jersey

536

8.1

1.3

(5.5–10.6)

Passaic County, New Jersey

503

4.5

1.0

(2.5–6.4)

Somerset County, New Jersey

536

4.9

1.0

(2.9–6.8)

Sussex County, New Jersey

502

5.8

1.3

(3.2–8.3)

Union County, New Jersey

522

8.5

1.6

(5.3–11.6)

Warren County, New Jersey

481

8.4

1.3

(5.8–10.9)


TABLE 63. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

1,264

9.6

0.9

(7.8–11.3)

Dona Ana County, New Mexico

504

8.5

1.3

(5.9–11.0)

Sandoval County, New Mexico

520

7.9

1.3

(5.3–10.4)

San Juan County, New Mexico

686

5.3

0.9

(3.5–7.0)

Santa Fe County, New Mexico

609

8.6

1.5

(5.6–11.5)

Valencia County, New Mexico

350

9.4

1.8

(5.8–12.9)

Bronx County, New York

436

9.1

1.4

(6.3–11.8)

Erie County, New York

479

9.1

1.5

(6.1–12.0)

Kings County, New York

912

9.4

1.1

(7.2–11.5)

Monroe County, New York

384

9.1

1.7

(5.7–12.4)

Nassau County, New York

477

5.7

1.1

(3.5–7.8)

New York County, New York

1,040

7.0

0.8

(5.4–8.5)

Queens County, New York

797

6.5

0.8

(4.9–8.0)

Suffolk County, New York

593

6.8

1.3

(4.2–9.3)

Westchester County, New York

384

5.9

1.2

(3.5–8.2)

Buncombe County, North Carolina

263

8.8

1.5

(5.8–11.7)

Cabarrus County, North Carolina

308

6.0

1.8

(2.4–9.5)

Catawba County, North Carolina

294

7.0

1.8

(3.4–10.5)

Durham County, North Carolina

621

7.0

1.2

(4.6–9.3)

Gaston County, North Carolina

267

11.2

2.4

(6.4–15.9)

Guilford County, North Carolina

695

6.7

1.0

(4.7–8.6)

Johnston County, North Carolina

275

10.6

2.0

(6.6–14.5)

Mecklenburg County, North Carolina

608

6.0

0.9

(4.2–7.7)

Orange County, North Carolina

298

7.5

1.6

(4.3–10.6)

Randolph County, North Carolina

398

9.6

1.7

(6.2–12.9)

Union County, North Carolina

349

7.1

1.4

(4.3–9.8)

Wake County, North Carolina

713

5.8

0.9

(4.0–7.5)

Burleigh County, North Dakota

560

5.5

0.9

(3.7–7.2)

Cass County, North Dakota

780

3.6

0.6

(2.4–4.7)

Ward County, North Dakota

464

5.0

1.0

(3.0–6.9)

Cuyahoga County, Ohio

722

8.0

1.1

(5.8–10.1)

Franklin County, Ohio

680

8.7

1.1

(6.5–10.8)

Hamilton County, Ohio

728

7.7

1.1

(5.5–9.8)

Lucas County, Ohio

730

11.6

1.6

(8.4–14.7)

Mahoning County, Ohio

731

8.4

1.2

(6.0–10.7)

Montgomery County, Ohio

705

8.5

1.2

(6.1–10.8)

Stark County, Ohio

716

7.3

0.9

(5.5–9.0)

Summit County, Ohio

703

9.5

1.2

(7.1–11.8)

Cleveland County, Oklahoma

434

8.0

1.3

(5.4–10.5)

Oklahoma County, Oklahoma

1,440

10.2

0.9

(8.4–11.9)

Tulsa County, Oklahoma

1,523

9.4

0.8

(7.8–10.9)

Clackamas County, Oregon

450

5.6

1.1

(3.4–7.7)

Lane County, Oregon

512

11.9

2.2

(7.5–16.2)

Multnomah County, Oregon

815

8.5

1.3

(5.9–11.0)

Washington County, Oregon

586

6.2

1.1

(4.0–8.3)

Allegheny County, Pennsylvania

1,382

7.9

0.8

(6.3–9.4)

Lehigh County, Pennsylvania

283

6.3

1.3

(3.7–8.8)

Luzerne County, Pennsylvania

313

10.6

2.2

(6.2–14.9)

Montgomery County, Pennsylvania

347

10.3

2.1

(6.1–14.4)

Northampton County, Pennsylvania

259

4.9

1.1

(2.7–7.0)

Philadelphia County, Pennsylvania

1,403

13.2

1.3

(10.6–15.7)

Westmoreland County, Pennsylvania

337

6.8

1.3

(4.2–9.3)

Bristol County, Rhode Island

278

5.1

1.1

(2.9–7.2)

Kent County, Rhode Island

939

8.3

0.9

(6.5–10.0)

Newport County, Rhode Island

488

6.9

1.1

(4.7–9.0)

Providence County, Rhode Island

4,145

7.7

0.4

(6.9–8.4)

Washington County, Rhode Island

747

6.2

1.2

(3.8–8.5)

Aiken County, South Carolina

474

8.0

1.4

(5.2–10.7)

Beaufort County, South Carolina

681

5.6

1.0

(3.6–7.5)

Berkeley County, South Carolina

358

8.9

2.7

(3.6–14.1)

Charleston County, South Carolina

670

8.0

1.3

(5.4–10.5)

Greenville County, South Carolina

495

9.8

1.9

(6.0–13.5)

Horry County, South Carolina

555

9.7

1.6

(6.5–12.8)


TABLE 63. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

666

11.5

1.9

(7.7–15.2)

Minnehaha County, South Dakota

604

6.4

0.9

(4.6–8.1)

Pennington County, South Dakota

668

7.4

1.1

(5.2–9.5)

Davidson County, Tennessee

418

6.5

1.1

(4.3–8.6)

Hamilton County, Tennessee

385

9.8

2.1

(5.6–13.9)

Knox County, Tennessee

370

13.1

2.5

(8.2–18.0)

Shelby County, Tennessee

392

7.1

1.3

(4.5–9.6)

Sullivan County, Tennessee

461

12.8

2.1

(8.6–16.9)

Bexar County, Texas

971

10.1

1.3

(7.5–12.6)

Dallas County, Texas

391

7.1

1.4

(4.3–9.8)

El Paso County, Texas

872

6.6

0.9

(4.8–8.3)

Fort Bend County, Texas

929

5.1

0.7

(3.7–6.4)

Harris County, Texas

1,456

6.6

0.8

(5.0–8.1)

Hidalgo County, Texas

598

6.8

1.0

(4.8–8.7)

Lubbock County, Texas

756

10.4

2.0

(6.4–14.3)

Midland County, Texas

524

6.1

1.0

(4.1–8.0)

Potter County, Texas

337

9.9

1.8

(6.3–13.4)

Randall County, Texas

460

4.6

0.9

(2.8–6.3)

Smith County, Texas

673

8.5

1.0

(6.5–10.4)

Tarrant County, Texas

603

7.3

1.4

(4.5–10.0)

Travis County, Texas

762

4.2

0.9

(2.4–5.9)

Val Verde County, Texas

559

7.6

1.4

(4.8–10.3)

Webb County, Texas

924

7.4

0.8

(5.8–8.9)

Wichita County, Texas

678

8.1

1.0

(6.1–10.0)

Davis County, Utah

880

6.7

1.7

(3.3–10.0)

Salt Lake County, Utah

3,287

5.5

0.4

(4.7–6.2)

Summit County, Utah

453

1.3

0.5

(0.3–2.2)

Tooele County, Utah

569

5.4

1.0

(3.4–7.3)

Utah County, Utah

1,113

4.8

0.8

(3.2–6.3)

Weber County, Utah

777

5.6

0.8

(4.0–7.1)

Chittenden County, Vermont

1,429

4.0

0.5

(3.0–4.9)

Franklin County, Vermont

486

8.2

1.2

(5.8–10.5)

Orange County, Vermont

358

6.1

1.2

(3.7–8.4)

Rutland County, Vermont

658

6.3

0.9

(4.5–8.0)

Washington County, Vermont

670

7.5

1.1

(5.3–9.6)

Windsor County, Vermont

681

6.5

0.9

(4.7–8.2)

Benton County, Washington

392

5.8

1.1

(3.6–7.9)

Clark County, Washington

1,093

8.2

1.0

(6.2–10.1)

Franklin County, Washington

255

4.0

1.0

(2.0–5.9)

King County, Washington

3,037

6.9

0.6

(5.7–8.0)

Kitsap County, Washington

921

7.9

1.1

(5.7–10.0)

Pierce County, Washington

1,725

8.6

0.8

(7.0–10.1)

Snohomish County, Washington

1,651

7.6

0.7

(6.2–8.9)

Spokane County, Washington

1,217

8.4

1.0

(6.4–10.3)

Thurston County, Washington

777

9.9

1.4

(7.1–12.6)

Yakima County, Washington

740

8.2

1.2

(5.8–10.5)

Kanawha County, West Virginia

490

10.4

1.8

(6.8–13.9)

Milwaukee County, Wisconsin

1,219

8.8

1.4

(6.0–11.5)

Laramie County, Wyoming

914

9.3

1.0

(7.3–11.2)

Natrona County, Wyoming

768

8.6

1.0

(6.6–10.5)

Median

7.4

Range

1.3-15.5

Abbreviations: SE = standard error; CI = confidence interval.

* Includes use of a cane, wheelchair, special bed, or special telephone occasionally or in certain circumstances.


TABLE 64. Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

5,837

13.5

0.6

(12.3–14.7)

Alaska

1,260

7.8

1.1

(5.7–9.9)

Arizona

4,578

9.8

0.7

(8.5–11.1)

Arkansas

3,232

14.3

0.7

(12.9–15.7)

California

12,605

9.7

0.3

(9.0–10.4)

Colorado

8,746

8.5

0.4

(7.8–9.2)

Connecticut

5,082

8.7

0.5

(7.8–9.6)

Delaware

3,214

11.6

0.7

(10.3–12.9)

District of Columbia

2,863

6.5

0.5

(5.4–7.6)

Florida

27,958

11.7

0.4

(10.9–12.5)

Georgia

4,297

10.9

0.6

(9.8–12.0)

Hawaii

4,947

7.3

0.5

(6.3–8.3)

Idaho

5,277

10.6

0.5

(9.6–11.6)

Illinois

3,889

10.8

0.6

(9.6–12.0)

Indiana

7,693

12.9

0.5

(11.9–13.9)

Iowa

4,678

10.5

0.5

(9.5–11.5)

Kansas

6,552

10.7

0.4

(9.9–11.5)

Kentucky

6,104

14.7

0.6

(13.5–15.9)

Louisiana

5,217

14.0

0.6

(12.9–15.1)

Maine

6,331

12.0

0.5

(11.1–12.9)

Maryland

6,758

9.6

0.5

(8.7–10.5)

Massachusetts

11,976

10.3

0.4

(9.5–11.1)

Michigan

6,970

13.7

0.5

(12.7–14.7)

Minnesota

6,531

9.1

0.5

(8.1–10.1)

Mississippi

6,209

13.6

0.5

(12.5–14.7)

Missouri

4,170

12.1

0.7

(10.8–13.4)

Montana

5,611

11.1

0.5

(10.1–12.1)

Nebraska

12,828

10.4

0.4

(9.6–11.2)

Nevada

2,910

11.8

0.9

(10.1–13.5)

New Hampshire

4,706

10.2

0.5

(9.2–11.2)

New Jersey

9,014

10.0

0.4

(9.2–10.8)

New Mexico

5,400

10.3

0.5

(9.3–11.3)

New York

6,682

11.1

0.4

(10.2–12.0)

North Carolina

8,997

12.9

0.5

(11.9–13.9)

North Dakota

3,567

11.6

0.6

(10.4–12.8)

Ohio

7,548

11.5

0.5

(10.6–12.4)

Oklahoma

5,798

14.3

0.5

(13.3–15.3)

Oregon

4,063

10.0

0.5

(9.0–11.0)

Pennsylvania

8,566

11.9

0.4

(11.1–12.7)

Rhode Island

4,989

10.1

0.5

(9.1–11.1)

South Carolina

7,260

11.5

0.6

(10.4–12.6)

South Dakota

5,074

12.0

0.6

(10.9–13.1)

Tennessee

4,520

13.5

0.7

(12.1–14.9)

Texas

13,216

12.4

0.5

(11.4–13.4)

Utah

6,609

8.8

0.4

(8.0–9.6)

Vermont

5,332

9.3

0.4

(8.5–10.1)

Virginia

4,078

11.2

0.7

(9.9–12.5)

Washington

15,136

8.8

0.3

(8.3–9.3)

West Virginia

3,354

15.5

0.7

(14.1–16.9)

Wisconsin

3,611

9.6

0.6

(8.4–10.8)

Wyoming

4,555

10.5

0.5

(9.5–11.5)

Guam

399

9.6

1.8

(6.1–13.1)

Puerto Rico

2,675

16.7

0.8

(15.1–18.3)

Virgin Islands

1,261

5.3

0.8

(3.8–6.8)

Median

10.9

Range

5.3-16.7

Abbreviations: SE = standard error; CI = confidence interval.

* Including heart attack, also known as myocardial infarction, and angina.


TABLE 65. Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

640

11.6

1.5

(8.7–14.5)

Albuquerque, New Mexico

1,683

8.3

0.8

(6.7–9.9)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

827

9.9

1.4

(7.2–12.6)

Amarillo, Texas

632

13.3

1.4

(10.5–16.1)

Arcadia, Florida

423

19.4

3.1

(13.2–25.6)

Asheville, North Carolina

452

14.9

1.9

(11.2–18.6)

Atlanta-Sandy Springs-Marietta, Georgia

1,694

8.1

0.7

(6.7–9.5)

Atlantic City, New Jersey

693

11.2

1.4

(8.4–14.0)

Augusta-Richmond County, Georgia-South Carolina

654

10.7

1.4

(8.0–13.4)

Augusta-Waterville, Maine

524

12.8

1.6

(9.6–16.0)

Austin-Round Rock, Texas

681

8.4

1.5

(5.4–11.4)

Baltimore-Towson, Maryland

2,432

10.1

0.7

(8.7–11.5)

Bangor, Maine

523

11.1

1.5

(8.1–14.1)

Barre, Vermont

535

7.6

1.2

(5.3–9.9)

Baton Rouge, Louisiana

845

14.7

1.5

(11.8–17.6)

Bethesda-Gaithersburg-Frederick, Maryland

1,202

7.7

0.9

(5.9–9.5)

Billings, Montana

429

13.4

1.8

(9.8–17.0)

Birmingham-Hoover, Alabama

897

12.1

1.2

(9.7–14.5)

Bismarck, North Dakota

574

10.4

1.3

(7.8–13.0)

Boise City-Nampa, Idaho

1,228

10.5

1.0

(8.5–12.5)

Boston-Quincy, Massachusetts

2,390

10.2

0.8

(8.6–11.8)

Bremerton-Silverdale, Washington

730

9.3

1.1

(7.2–11.4)

Bridgeport-Stamford-Norwalk, Connecticut

1,611

7.1

0.8

(5.5–8.7)

Buffalo-Cheektowaga-Tonawanda, New York

500

13.6

1.7

(10.3–16.9)

Burlington-South Burlington, Vermont

1,488

8.2

0.7

(6.8–9.6)

Cambridge-Newton-Framingham, Massachusetts

2,118

7.7

0.7

(6.3–9.1)

Camden, New Jersey

1,253

10.2

1.0

(8.2–12.2)

Canton-Massillon, Ohio

589

11.5

1.5

(8.6–14.4)

Cape Coral-Fort Myers, Florida

431

11.8

1.7

(8.5–15.1)

Casper, Wyoming

599

11.9

1.4

(9.1–14.7)

Cedar Rapids, Iowa

428

12.3

1.8

(8.7–15.9)

Charleston, West Virginia

603

15.0

1.6

(11.9–18.1)

Charleston-North Charleston, South Carolina

875

12.0

2.0

(8.1–15.9)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,274

9.6

1.0

(7.6–11.6)

Chattanooga, Tennessee-Georgia

422

16.6

3.1

(10.5–22.7)

Cheyenne, Wyoming

711

13.5

1.4

(10.7–16.3)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

3,685

10.7

0.8

(9.2–12.2)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,364

10.9

1.2

(8.5–13.3)

Cleveland-Elyria-Mentor, Ohio

868

11.1

1.3

(8.6–13.6)

Coeur d´Alene, Idaho

468

13.6

1.9

(9.9–17.3)

Colorado Springs, Colorado

850

8.2

1.0

(6.3–10.1)

Columbia, South Carolina

839

12.2

1.5

(9.2–15.2)

Columbus, Ohio

993

10.5

1.1

(8.3–12.7)

Concord, New Hampshire

512

9.4

1.5

(6.5–12.3)

Dallas-Plano-Irving, Texas

513

12.8

1.7

(9.4–16.2)

Dayton, Ohio

671

11.2

1.7

(7.8–14.6)

Del Rio, Texas

409

11.0

1.9

(7.4–14.6)

Deltona-Daytona Beach-Ormond Beach, Florida

725

13.8

1.7

(10.6–17.0)

Denver-Aurora, Colorado

3,514

7.7

0.5

(6.7–8.7)

Des Moines-West Des Moines, Iowa

732

8.3

1.0

(6.3–10.3)

Detroit-Livonia-Dearborn, Michigan

1,527

16.5

1.4

(13.8–19.2)

Dover, Delaware

910

12.5

1.2

(10.2–14.8)

Durham, North Carolina

739

7.5

1.2

(5.1–9.9)

Edison, New Jersey

1,668

9.2

0.9

(7.5–10.9)

El Paso, Texas

607

11.4

1.4

(8.7–14.1)

Eugene-Springfield, Oregon

420

8.1

1.4

(5.4–10.8)

Evansville, Indiana-Kentucky

414

11.8

2.0

(7.9–15.7)

Fargo, North Dakota-Minnesota

620

12.0

2.8

(6.5–17.5)

Farmington, New Mexico

511

13.8

1.9

(10.0–17.6)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

527

9.5

1.5

(6.6–12.4)

Fort Collins-Loveland, Colorado

441

9.0

1.4

(6.2–11.8)

Fort Wayne, Indiana

536

12.8

1.7

(9.5–16.1)

Fort Worth-Arlington, Texas

565

10.7

1.6

(7.5–13.9)


TABLE 65. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

743

10.1

1.6

(6.9–13.3)

Grand Island, Nebraska

680

12.6

1.4

(9.8–15.4)

Grand Rapids-Wyoming, Michigan

468

7.2

1.2

(4.8–9.6)

Greensboro-High Point, North Carolina

909

13.9

1.7

(10.6–17.2)

Greenville, South Carolina

610

8.7

1.4

(6.0–11.4)

Hagerstown-Martinsburg, Maryland-West Virginia

479

10.8

1.6

(7.8–13.8)

Hartford-West Hartford-East Hartford, Connecticut

1,553

8.6

0.8

(7.0–10.2)

Hastings, Nebraska

465

11.7

1.6

(8.6–14.8)

Helena, Montana

517

10.1

1.4

(7.4–12.8)

Hickory-Morganton-Lenoir, North Carolina

452

13.6

2.2

(9.3–17.9)

Hilo, Hawaii

1,114

8.5

0.9

(6.6–10.4)

Hilton Head Island-Beaufort, South Carolina

667

10.0

1.2

(7.6–12.4)

Homosassa Springs, Florida

467

19.6

2.3

(15.2–24.0)

Honolulu, Hawaii

2,202

6.5

0.6

(5.3–7.7)

Houston-Sugar Land-Baytown, Texas

1,936

10.0

0.9

(8.3–11.7)

Huntington-Ashland, West Virginia-Kentucky-Ohio

502

16.8

2.1

(12.7–20.9)

Idaho Falls, Idaho

469

8.2

1.4

(5.4–11.0)

Indianapolis-Carmel, Indiana

1,669

10.8

1.0

(8.8–12.8)

Jackson, Mississippi

567

11.2

1.5

(8.2–14.2)

Jacksonville, Florida

1,971

10.8

1.1

(8.7–12.9)

Kahului-Wailuku, Hawaii

1,116

8.5

1.1

(6.3–10.7)

Kalispell, Montana

533

9.1

1.3

(6.5–11.7)

Kansas City, Missouri-Kansas

2,528

11.0

0.8

(9.4–12.6)

Kapaa, Hawaii

515

8.7

1.4

(5.9–11.5)

Kennewick-Richland-Pasco, Washington

457

10.1

1.4

(7.3–12.9)

Key West-Marathon, Florida

437

11.5

1.7

(8.1–14.9)

Kingsport-Bristol, Tennessee-Virginia

548

16.6

2.9

(10.9–22.3)

Knoxville, Tennessee

420

15.4

2.6

(10.3–20.5)

Lake City, Florida

418

19.3

2.6

(14.2–24.4)

Lakeland-Winter Haven, Florida

423

16.2

2.2

(11.9–20.5)

Laredo, Texas

532

10.2

1.4

(7.4–13.0)

Las Cruces, New Mexico

398

10.7

1.6

(7.5–13.9)

Las Vegas-Paradise, Nevada

903

11.8

1.2

(9.4–14.2)

Lebanon, New Hampshire-Vermont

1,245

8.3

0.9

(6.6–10.0)

Lewiston, Idaho-Washington

493

10.0

1.5

(7.1–12.9)

Lewiston-Auburn, Maine

367

14.8

2.2

(10.5–19.1)

Lincoln, Nebraska

870

10.0

1.2

(7.7–12.3)

Little Rock-North Little Rock, Arkansas

665

12.5

1.5

(9.5–15.5)

Los Angeles-Long Beach-Glendale, California

1,734

9.7

0.9

(8.0–11.4)

Louisville, Kentucky-Indiana

701

11.6

1.4

(8.9–14.3)

Lubbock, Texas

597

12.7

1.5

(9.8–15.6)

Manchester-Nashua, New Hampshire

1,070

9.4

1.0

(7.5–11.3)

McAllen-Edinburg-Mission, Texas

376

11.3

1.8

(7.7–14.9)

Memphis, Tennessee-Mississippi-Arkansas

876

9.3

1.2

(6.9–11.7)

Miami-Fort Lauderdale-Miami Beach, Florida

807

9.8

1.4

(7.1–12.5)

Midland, Texas

412

8.9

1.5

(6.0–11.8)

Milwaukee-Waukesha-West Allis, Wisconsin

1,116

9.0

1.2

(6.6–11.4)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

3,417

7.8

0.6

(6.6–9.0)

Minot, North Dakota

407

8.7

1.6

(5.6–11.8)

Mobile, Alabama

525

10.6

1.6

(7.4–13.8)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

442

13.7

1.8

(10.2–17.2)

Naples-Marco Island, Florida

467

12.7

1.7

(9.3–16.1)

Nashville-Davidson-Murfreesboro, Tennessee

614

11.2

1.7

(7.9–14.5)

Nassau-Suffolk, New York

794

9.2

1.0

(7.2–11.2)

Newark-Union, New Jersey-Pennsylvania

2,422

9.9

0.8

(8.3–11.5)

New Haven-Milford, Connecticut

1,238

8.9

1.0

(7.0–10.8)

New Orleans-Metairie-Kenner, Louisiana

1,158

12.5

1.1

(10.3–14.7)

New York-White Plains-Wayne, New York-New Jersey

4,278

10.5

0.7

(9.2–11.8)

Norfolk, Nebraska

549

9.4

1.3

(6.9–11.9)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

474

958

13.5

15.5

1.7

1.4

(10.1–16.9)

(13.0–18.4)

Ocala, Florida

487

14.9

1.9

(11.2–18.6)

Ocean City, New Jersey

420

12.7

1.9

(9.1–16.3)


TABLE 65. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

1,118

9.8

1.0

(7.8–11.8)

Oklahoma City, Oklahoma

1,782

13.2

0.9

(11.5–14.9)

Olympia, Washington

566

8.6

1.2

(6.3–10.9)

Omaha-Council Bluffs, Nebraska-Iowa

1,669

9.2

0.8

(7.5–10.9)

Orlando-Kissimmee, Florida

1,992

12.6

0.9

(10.9–14.3)

Palm Bay-Melbourne-Titusville, Florida

434

15.0

1.8

(11.4–18.6)

Panama City-Lynn Haven, Florida

Peabody, Massachusetts

415

1,506

12.7

10.0

2.0

1.2

(8.9–16.5)

(7.8–12.7)

Pensacola-Ferry Pass-Brent, Florida

784

12.0

1.3

(9.4–14.6)

Philadelphia, Pennsylvania

1,754

8.7

0.9

(7.0–10.4)

Phoenix-Mesa-Scottsdale, Arizona

1,317

11.1

1.0

(9.1–13.1)

Pittsburgh, Pennsylvania

1,919

13.0

0.9

(11.2–14.8)

Portland-South Portland-Biddeford, Maine

2,043

10.0

0.8

(8.4–11.6)

Portland-Vancouver-Beaverton, Oregon-Washington

2,637

8.7

0.7

(7.4–10.0)

Port St. Lucie-Fort Pierce, Florida

868

14.5

1.4

(11.8–17.2)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

7,202

10.5

0.5

(9.5–11.5)

Provo-Orem, Utah

687

10.0

1.3

(7.5–12.5)

Raleigh-Cary, North Carolina

684

9.3

1.2

(6.9–11.7)

Rapid City, South Dakota

642

10.5

1.3

(7.9–13.1)

Reno-Sparks, Nevada

968

9.6

1.0

(7.6–11.6)

Richmond, Virginia

611

14.4

2.4

(9.6–19.2)

Riverside-San Bernardino-Ontario, California

1,288

9.9

0.9

(8.1–11.7)

Rochester, New York

460

10.5

1.6

(7.4–13.6)

Rockingham County-Strafford County, New Hampshire

1,216

10.5

0.9

(8.7–12.3)

Rutland, Vermont

528

11.6

1.6

(8.5–14.7)

Sacramento-Arden-Arcade-Roseville, California

981

9.2

1.1

(7.0–11.4)

St. Louis, Missouri-Illinois

1,286

9.3

1.1

(7.1–11.5)

Salt Lake City, Utah

2,831

7.6

0.6

(6.5–8.7)

San Antonio, Texas

828

12.4

1.4

(9.6–15.2)

San Diego-Carlsbad-San Marcos, California

1,202

9.5

1.0

(7.5–11.5)

San Francisco-Oakland-Fremont, California

1,719

7.7

0.8

(6.1–9.3)

San Jose-Sunnyvale-Santa Clara, California

623

8.5

1.4

(5.8–11.2)

Santa Ana-Anaheim-Irvine, California

1,051

7.6

0.9

(5.8–9.4)

Santa Fe, New Mexico

502

6.9

1.4

(4.3–9.5)

Scottsbluff, Nebraska

649

11.5

1.5

(8.5–14.5)

Scranton-Wilkes-Barre, Pennsylvania

446

15.9

2.0

(12.1–19.7)

Seaford, Delaware

1,033

14.5

1.2

(12.1–16.9)

Seattle-Bellevue-Everett, Washington

3,521

7.3

0.5

(6.3–8.3)

Sebring, Florida

462

17.9

2.1

(13.7–22.1)

Shreveport-Bossier City, Louisiana

514

14.0

1.8

(10.4–17.6)

Sioux City, Iowa-Nebraska-South Dakota

894

10.6

1.9

(7.0–14.2)

Sioux Falls, South Dakota

624

10.3

1.2

(7.9–12.7)

Spokane, Washington

925

8.1

1.0

(6.1–10.1)

Springfield, Massachusetts

1,560

9.8

1.0

(7.8–11.8)

Tacoma, Washington

1,269

10.4

1.0

(8.4–12.4)

Tallahassee, Florida

1,553

9.1

1.3

(6.6–11.6)

Tampa-St. Petersburg-Clearwater, Florida

1,683

14.4

1.1

(12.2–16.6)

Toledo, Ohio

657

11.1

1.3

(8.6–13.6)

Topeka, Kansas

645

10.7

1.2

(8.3–13.1)

Trenton-Ewing, New Jersey

363

8.2

1.8

(4.6–11.8)

Tucson, Arizona

582

10.7

1.4

(7.9–13.5)

Tulsa, Oklahoma

1,565

13.1

1.0

(11.1–15.1)

Tuscaloosa, Alabama

373

8.3

1.6

(5.2–11.4)

Twin Falls, Idaho

425

11.1

1.7

(7.7–14.5)

Tyler, Texas

526

13.5

1.7

(10.2–16.8)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

809

11.4

1.3

(8.8–14.0)

Warren-Troy-Farmington Hills, Michigan

1,439

12.2

1.0

(10.3–14.1)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia

4,570

7.7

0.8

(6.1–9.3)

Wauchula, Florida

404

14.3

1.9

(10.5–18.1)

West Palm Beach-Boca Raton-Boynton Beach, Florida

473

10.6

1.5

(7.8–13.4)

Wichita, Kansas

1,413

10.9

0.9

(9.2–12.6)

Wichita Falls, Texas

663

16.8

2.8

(11.3–22.3)

Wilmington, Delaware-Maryland-New Jersey

1,606

10.5

0.9

(8.8–12.2)


TABLE 65. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

1,522

11.9

1.2

(9.6–14.2)

Yakima, Washington

558

8.8

1.2

(6.4–11.2)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

862

11.1

1.6

(8.0–14.2)

Median

10.7

Range

6.5-19.6

Abbreviations: SE = standard error; CI = confidence interval.

* Including heart attack, also known as myocardial infarction, and angina.

Metropolitan division.


TABLE 66. Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

453

11.5

1.6

(8.3–14.7)

Mobile County, Alabama

525

10.6

1.6

(7.4–13.8)

Tuscaloosa County, Alabama

307

7.8

1.6

(4.6–11.0)

Maricopa County, Arizona

1,003

11.0

1.1

(8.9–13.1)

Pima County, Arizona

582

10.7

1.4

(7.9–13.5)

Pinal County, Arizona

314

14.2

2.3

(9.6–18.8)

Benton County, Arkansas

273

8.2

1.8

(4.6–11.8)

Pulaski County, Arkansas

456

11.2

2.0

(7.3–15.1)

Washington County, Arkansas

227

12.7

2.9

(7.0–18.4)

Alameda County, California

520

8.0

1.7

(4.6–11.4)

Contra Costa County, California

496

7.9

1.4

(5.2–10.6)

Los Angeles County, California

1,734

9.7

0.9

(8.0–11.4)

Orange County, California

1,051

7.6

0.9

(5.8–9.4)

Placer County, California

204

8.8

2.6

(3.6–14.0)

Riverside County, California

632

12.2

1.5

(9.3–15.1)

Sacramento County, California

557

9.5

1.4

(6.7–12.3)

San Bernardino County, California

656

7.6

1.1

(5.5–9.7)

San Diego County, California

1,202

9.5

1.0

(7.5–11.5)

San Francisco County, California

269

7.0

1.8

(3.5–10.5)

San Mateo County, California

276

11.4

2.2

(7.1–15.7)

Santa Clara County, California

593

7.9

1.3

(5.3–10.5)

Adams County, Colorado

563

9.2

1.3

(6.6–11.8)

Arapahoe County, Colorado

629

7.2

1.3

(4.7–9.7)

Denver County, Colorado

640

8.4

1.3

(5.9–10.9)

Douglas County, Colorado

366

6.7

1.3

(4.1–9.3)

El Paso County, Colorado

745

8.3

1.0

(6.3–10.3)

Jefferson County, Colorado

914

7.9

1.0

(6.0–9.8)

Larimer County, Colorado

441

9.0

1.4

(6.2–11.8)

Fairfield County, Connecticut

1,611

7.1

0.8

(5.5–8.7)

Hartford County, Connecticut

1,166

9.4

1.0

(7.5–11.3)

Middlesex County, Connecticut

195

7.4

2.1

(3.2–11.6)

New Haven County, Connecticut

1,238

8.9

1.0

(7.0–10.8)

Tolland County, Connecticut

192

6.4

1.9

(2.8–10.0)

Kent County, Delaware

910

12.5

1.2

(10.2–14.8)

New Castle County, Delaware

1,271

9.7

0.9

(7.8–11.6)

Sussex County, Delaware

1,033

14.5

1.2

(12.1–16.9)

District of Columbia, District of Columbia

2,863

7.5

0.6

(6.3–8.7)

Alachua County, Florida

409

9.8

1.8

(6.2–13.4)

Baker County, Florida

378

16.2

3.4

(9.4–23.0)

Bay County, Florida

415

12.7

2.0

(8.9–16.5)

Brevard County, Florida

434

15.0

1.8

(11.4–18.6)

Broward County, Florida

424

10.3

1.7

(7.1–13.5)

Citrus County, Florida

467

19.6

2.3

(15.2–24.0)

Clay County, Florida

355

11.7

1.8

(8.1–15.3)

Collier County, Florida

467

12.7

1.7

(9.3–16.1)

Columbia County, Florida

418

19.3

2.6

(14.2–24.4)

DeSoto County, Florida

423

19.4

3.1

(13.2–25.6)

Duval County, Florida

409

10.3

1.7

(6.9–13.7)

Escambia County, Florida

409

12.9

1.9

(9.2–16.6)

Gadsden County, Florida

404

8.0

1.5

(5.1–10.9)

Gilchrist County, Florida

334

16.0

3.1

(9.9–22.1)

Hardee County, Florida

404

14.3

1.9

(10.5–18.1)

Hernando County, Florida

416

16.9

2.1

(12.8–21.0)

Highlands County, Florida

462

17.9

2.1

(13.7–22.1)

Hillsborough County, Florida

393

13.2

2.0

(9.3–17.1)

Jefferson County, Florida

409

11.7

1.9

(8.0–15.4)

Lake County, Florida

500

18.1

1.9

(14.4–21.8)

Lee County, Florida

431

11.8

1.7

(8.5–15.1)

Leon County, Florida

365

7.6

1.5

(4.7–10.5)

Manatee County, Florida

442

14.2

1.8

(10.6–17.8)

Marion County, Florida

487

14.9

1.9

(11.2–18.6)

Martin County, Florida

463

10.2

1.6

(7.1–13.3)

Miami-Dade County, Florida

383

10.0

2.0

(6.0–14.0)


TABLE 66. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

437

11.5

1.7

(8.1–14.9)

Nassau County, Florida

409

14.2

1.9

(10.4–18.0)

Orange County, Florida

695

10.6

1.5

(7.7–13.5)

Osceola County, Florida

429

16.1

2.5

(11.2–21.0)

Palm Beach County, Florida

473

10.6

1.5

(7.8–13.4)

Pasco County, Florida

453

16.6

2.2

(12.3–20.9)

Pinellas County, Florida

421

13.5

1.9

(9.7–17.3)

Polk County, Florida

423

16.2

2.2

(11.9–20.5)

St. Johns County, Florida

420

9.8

1.5

(6.8–12.8)

St. Lucie County, Florida

405

17.2

2.1

(13.1–21.3)

Santa Rosa County, Florida

375

10.7

1.7

(7.3–14.1)

Sarasota County, Florida

539

17.3

1.9

(13.6–21.0)

Seminole County, Florida

368

12.0

1.7

(8.7–15.3)

Volusia County, Florida

725

13.8

1.7

(10.6–17.0)

Wakulla County, Florida

375

18.6

4.3

(10.1–27.1)

Cobb County, Georgia

191

6.1

1.9

(2.3–9.9)

DeKalb County, Georgia

261

7.4

1.7

(4.1–10.7)

Fulton County, Georgia

243

7.1

1.9

(3.3–10.9)

Gwinnett County, Georgia

173

6.4

1.8

(2.8–10.0)

Hawaii County, Hawaii

1,114

8.5

0.9

(6.6–10.4)

Honolulu County, Hawaii

2,202

6.5

0.6

(5.3–7.7)

Kauai County, Hawaii

515

8.7

1.4

(5.9–11.5)

Maui County, Hawaii

1,116

8.5

1.1

(6.3–10.7)

Ada County, Idaho

644

11.0

1.4

(8.2–13.8)

Bonneville County, Idaho

365

7.8

1.5

(4.8–10.8)

Canyon County, Idaho

446

10.2

1.5

(7.3–13.1)

Kootenai County, Idaho

468

13.6

1.9

(9.9–17.3)

Nez Perce County, Idaho

306

10.9

2.0

(7.0–14.8)

Twin Falls County, Idaho

339

10.7

1.9

(6.9–14.5)

Cook County, Illinois

2,112

11.0

0.9

(9.2–12.8)

DuPage County, Illinois

177

9.2

2.4

(4.4–14.0)

Allen County, Indiana

437

13.9

2.0

(10.0–17.8)

Lake County, Indiana

754

17.9

2.7

(12.7–23.1)

Marion County, Indiana

1,116

12.8

1.5

(9.9–15.7)

Linn County, Iowa

374

11.6

1.9

(8.0–15.2)

Polk County, Iowa

566

8.2

1.1

(6.0–10.4)

Johnson County, Kansas

1,027

7.8

0.9

(6.1–9.5)

Sedgwick County, Kansas

1,096

11.2

1.0

(9.2–13.2)

Shawnee County, Kansas

490

10.6

1.4

(7.8–13.4)

Wyandotte County, Kansas

462

12.0

1.7

(8.6–15.4)

Jefferson County, Kentucky

319

9.5

1.8

(5.9–13.1)

Caddo Parish, Louisiana

338

11.2

2.0

(7.2–15.2)

East Baton Rouge Parish, Louisiana

516

13.7

1.9

(9.9–17.5)

Jefferson Parish, Louisiana

466

14.8

1.9

(11.2–18.4)

Orleans Parish, Louisiana

285

9.9

2.0

(5.9–13.9)

St. Tammany Parish, Louisiana

278

13.9

2.3

(9.3–18.5)

Androscoggin County, Maine

367

14.8

2.2

(10.5–19.1)

Cumberland County, Maine

1,099

10.0

1.2

(7.7–12.3)

Kennebec County, Maine

524

12.8

1.6

(9.6–16.0)

Penobscot County, Maine

523

11.1

1.5

(8.1–14.1)

Sagadahoc County, Maine

231

8.0

2.0

(4.1–11.9)

York County, Maine

713

10.3

1.2

(7.9–12.7)

Anne Arundel County, Maryland

430

9.9

1.7

(6.6–13.2)

Baltimore County, Maryland

773

10.6

1.3

(8.1–13.1)

Cecil County, Maryland

195

12.1

2.7

(6.7–17.5)

Charles County, Maryland

233

13.5

2.9

(7.8–19.2)

Frederick County, Maryland

419

8.7

1.5

(5.8–11.6)

Harford County, Maryland

205

11.8

2.5

(6.8–16.8)

Howard County, Maryland

231

9.3

2.2

(5.0–13.6)

Montgomery County, Maryland

783

7.5

1.0

(5.4–9.6)

Prince George´s County, Maryland

538

7.0

1.3

(4.5–9.5)

Queen Anne´s County, Maryland

222

9.7

2.1

(5.6–13.8)

Washington County, Maryland

306

11.0

2.1

(7.0–15.0)


TABLE 66. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

401

10.8

2.0

(7.0–14.6)

Bristol County, Massachusetts

2,213

12.1

1.3

(9.6–14.6)

Essex County, Massachusetts

1,552

10.4

1.3

(7.9–12.9)

Hampden County, Massachusetts

1,204

12.4

1.4

(9.6–15.2)

Hampshire County, Massachusetts

215

5.5

1.7

(2.2–8.8)

Middlesex County, Massachusetts

2,118

7.9

0.7

(6.5–9.3)

Norfolk County, Massachusetts

651

9.5

1.2

(7.1–11.9)

Plymouth County, Massachusetts

506

10.8

1.5

(7.9–13.7)

Suffolk County, Massachusetts

1,233

10.5

1.3

(8.0–13.0)

Worcester County, Massachusetts

1,522

11.9

1.2

(9.6–14.2)

Kent County, Michigan

338

6.4

1.3

(3.8–9.0)

Macomb County, Michigan

400

13.2

1.9

(9.5–16.9)

Oakland County, Michigan

767

11.0

1.3

(8.4–13.6)

Wayne County, Michigan

1,527

16.5

1.4

(13.8–19.2)

Anoka County, Minnesota

261

8.3

2.2

(4.1–12.5)

Dakota County, Minnesota

395

6.6

1.5

(3.7–9.5)

Hennepin County, Minnesota

1,464

7.2

1.0

(5.2–9.2)

Ramsey County, Minnesota

689

8.5

1.6

(5.4–11.6)

Washington County, Minnesota

170

12.7

3.0

(6.9–18.5)

DeSoto County, Mississippi

289

10.9

2.0

(7.0–14.8)

Hinds County, Mississippi

245

12.3

2.6

(7.1–17.5)

Jackson County, Missouri

401

11.0

1.6

(7.8–14.2)

St. Louis County, Missouri

460

9.6

2.0

(5.8–13.4)

St. Louis city, Missouri

461

10.5

1.9

(6.7–14.3)

Flathead County, Montana

533

9.1

1.3

(6.5–11.7)

Lewis and Clark County, Montana

427

10.9

1.5

(7.9–13.9)

Yellowstone County, Montana

386

13.1

1.9

(9.3–16.9)

Adams County, Nebraska

379

11.7

1.8

(8.2–15.2)

Dakota County, Nebraska

547

9.7

1.3

(7.1–12.3)

Douglas County, Nebraska

687

8.4

1.1

(6.1–10.7)

Hall County, Nebraska

466

13.7

1.8

(10.2–17.2)

Lancaster County, Nebraska

644

9.5

1.2

(7.1–11.9)

Lincoln County, Nebraska

451

13.8

1.8

(10.3–17.3)

Madison County, Nebraska

382

7.8

1.4

(5.0–10.6)

Sarpy County, Nebraska

400

8.5

1.6

(5.3–11.7)

Scotts Bluff County, Nebraska

628

11.3

1.4

(8.5–14.1)

Seward County, Nebraska

226

15.8

3.0

(9.9–21.7)

Clark County, Nevada

903

11.8

1.2

(9.4–14.2)

Washoe County, Nevada

952

9.5

1.0

(7.5–11.5)

Grafton County, New Hampshire

408

8.2

1.5

(5.2–11.2)

Hillsborough County, New Hampshire

1,070

9.4

1.0

(7.5–11.3)

Merrimack County, New Hampshire

512

9.4

1.5

(6.5–12.3)

Rockingham County, New Hampshire

778

10.2

1.1

(8.0–12.4)

Strafford County, New Hampshire

438

11.2

1.6

(8.1–14.3)

Atlantic County, New Jersey

693

11.2

1.4

(8.4–14.0)

Bergen County, New Jersey

466

8.9

1.7

(5.6–12.2)

Burlington County, New Jersey

432

9.1

1.5

(6.1–12.1)

Camden County, New Jersey

443

10.7

1.7

(7.3–14.1)

Cape May County, New Jersey

420

12.7

1.9

(9.1–16.3)

Essex County, New Jersey

707

10.4

1.4

(7.7–13.1)

Gloucester County, New Jersey

378

9.7

1.7

(6.3–13.1)

Hudson County, New Jersey

665

10.8

1.6

(7.8–13.8)

Hunterdon County, New Jersey

397

7.3

1.6

(4.2–10.4)

Mercer County, New Jersey

363

8.2

1.8

(4.6–11.8)

Middlesex County, New Jersey

440

7.6

1.4

(4.8–10.4)

Monmouth County, New Jersey

428

9.5

1.8

(6.0–13.0)

Morris County, New Jersey

530

9.2

1.5

(6.3–12.1)

Ocean County, New Jersey

419

11.8

1.8

(8.2–15.4)

Passaic County, New Jersey

339

6.8

1.5

(3.9–9.7)

Somerset County, New Jersey

381

7.8

1.6

(4.7–10.9)

Sussex County, New Jersey

367

8.5

1.8

(4.9–12.1)

Union County, New Jersey

374

12.0

2.1

(7.8–16.2)

Warren County, New Jersey

381

9.4

1.4

(6.7–12.1)


TABLE 66. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

957

8.3

1.1

(6.2–10.4)

Dona Ana County, New Mexico

398

10.7

1.6

(7.5–13.9)

Sandoval County, New Mexico

405

8.3

1.6

(5.1–11.5)

San Juan County, New Mexico

511

13.8

1.9

(10.0–17.6)

Santa Fe County, New Mexico

502

6.9

1.4

(4.3–9.5)

Valencia County, New Mexico

279

8.2

1.8

(4.7–11.7)

Bronx County, New York

274

10.2

2.0

(6.3–14.1)

Erie County, New York

397

13.6

1.9

(9.8–17.4)

Kings County, New York

596

11.0

1.7

(7.6–14.4)

Monroe County, New York

305

9.6

1.9

(5.9–13.3)

Nassau County, New York

353

8.1

1.4

(5.4–10.8)

New York County, New York

797

9.8

1.4

(7.0–12.6)

Queens County, New York

556

10.5

1.5

(7.6–13.4)

Suffolk County, New York

441

10.2

1.5

(7.3–13.1)

Westchester County, New York

298

10.4

2.1

(6.2–14.6)

Buncombe County, North Carolina

211

12.9

2.5

(8.1–17.7)

Cabarrus County, North Carolina

229

10.9

2.2

(6.5–15.3)

Catawba County, North Carolina

231

8.9

2.0

(5.1–12.7)

Durham County, North Carolina

439

7.0

1.3

(4.4–9.6)

Gaston County, North Carolina

207

9.0

2.2

(4.8–13.2)

Guilford County, North Carolina

533

10.7

1.5

(7.8–13.6)

Johnston County, North Carolina

186

13.1

2.7

(7.8–18.4)

Mecklenburg County, North Carolina

451

8.8

1.5

(5.9–11.7)

Orange County, North Carolina

212

8.4

2.0

(4.5–12.3)

Randolph County, North Carolina

316

14.0

2.2

(9.7–18.3)

Union County, North Carolina

252

9.9

2.3

(5.3–14.5)

Wake County, North Carolina

471

9.0

1.4

(6.2–11.8)

Burleigh County, North Dakota

421

9.4

1.4

(6.6–12.2)

Cass County, North Dakota

578

8.9

1.2

(6.5–11.3)

Ward County, North Dakota

341

10.0

1.9

(6.4–13.6)

Cuyahoga County, Ohio

556

9.8

1.5

(6.8–12.8)

Franklin County, Ohio

486

11.1

1.6

(8.0–14.2)

Hamilton County, Ohio

555

7.2

1.2

(4.9–9.5)

Lucas County, Ohio

551

14.3

1.6

(11.1–17.5)

Mahoning County, Ohio

600

11.0

1.5

(8.1–13.9)

Montgomery County, Ohio

559

10.6

1.7

(7.3–13.9)

Stark County, Ohio

567

11.0

1.4

(8.2–13.8)

Summit County, Ohio

567

11.3

1.5

(8.5–14.1)

Cleveland County, Oklahoma

300

9.0

1.7

(5.6–12.4)

Oklahoma County, Oklahoma

1,042

13.6

1.2

(11.3–15.9)

Tulsa County, Oklahoma

1,072

12.7

1.1

(10.5–14.9)

Clackamas County, Oregon

367

7.9

1.6

(4.9–10.9)

Lane County, Oregon

420

8.1

1.4

(5.4–10.8)

Multnomah County, Oregon

625

11.4

1.4

(8.6–14.2)

Washington County, Oregon

428

7.3

1.3

(4.7–9.9)

Allegheny County, Pennsylvania

1,091

10.5

1.1

(8.4–12.6)

Lehigh County, Pennsylvania

199

12.5

2.7

(7.2–17.8)

Luzerne County, Pennsylvania

253

16.2

2.6

(11.1–21.3)

Montgomery County, Pennsylvania

258

4.9

1.4

(2.2–7.6)

Northampton County, Pennsylvania

196

5.8

1.7

(2.4–9.2)

Philadelphia County, Pennsylvania

1,042

12.4

1.2

(10.0–14.8)

Westmoreland County, Pennsylvania

267

12.8

2.3

(8.3–17.3)

Bristol County, Rhode Island

218

7.0

1.7

(3.7–10.3)

Kent County, Rhode Island

691

11.9

1.4

(9.1–14.7)

Newport County, Rhode Island

391

8.6

1.4

(5.8–11.4)

Providence County, Rhode Island

3,085

9.7

0.6

(8.5–10.9)

Washington County, Rhode Island

604

9.7

1.3

(7.2–12.2)

Aiken County, South Carolina

362

12.3

1.9

(8.5–16.1)

Beaufort County, South Carolina

572

10.3

1.4

(7.6–13.0)

Berkeley County, South Carolina

270

13.0

3.8

(5.6–20.4)

Charleston County, South Carolina

520

10.4

1.8

(6.8–14.0)

Greenville County, South Carolina

391

7.0

1.4

(4.3–9.7)

Horry County, South Carolina

442

13.7

1.8

(10.2–17.2)


TABLE 66. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

489

12.4

2.1

(8.2–16.6)

Minnehaha County, South Dakota

458

11.4

1.5

(8.4–14.4)

Pennington County, South Dakota

509

10.8

1.5

(7.9–13.7)

Davidson County, Tennessee

317

9.1

1.9

(5.5–12.7)

Hamilton County, Tennessee

307

12.1

2.2

(7.8–16.4)

Knox County, Tennessee

296

14.2

2.6

(9.1–19.3)

Shelby County, Tennessee

303

8.1

1.7

(4.7–11.5)

Sullivan County, Tennessee

386

14.7

2.4

(10.0–19.4)

Bexar County, Texas

706

11.9

1.4

(9.2–14.6)

Dallas County, Texas

291

17.6

2.8

(12.0–23.2)

El Paso County, Texas

607

11.4

1.4

(8.7–14.1)

Fort Bend County, Texas

648

8.3

1.2

(6.0–10.6)

Harris County, Texas

1,025

10.6

1.1

(8.4–12.8)

Hidalgo County, Texas

376

11.3

1.8

(7.7–14.9)

Lubbock County, Texas

579

13.0

1.5

(10.0–16.0)

Midland County, Texas

412

8.9

1.5

(6.0–11.8)

Potter County, Texas

246

13.2

2.3

(8.7–17.7)

Randall County, Texas

363

12.8

2.0

(9.0–16.6)

Smith County, Texas

526

13.5

1.7

(10.2–16.8)

Tarrant County, Texas

454

9.7

1.6

(6.6–12.8)

Travis County, Texas

530

6.1

1.7

(2.7–9.5)

Val Verde County, Texas

409

11.0

1.9

(7.4–14.6)

Webb County, Texas

532

10.2

1.4

(7.4–13.0)

Wichita County, Texas

537

15.3

1.8

(11.7–18.9)

Davis County, Utah

536

9.2

1.5

(6.4–12.0)

Salt Lake County, Utah

2,187

7.5

0.6

(6.3–8.7)

Summit County, Utah

327

6.2

1.3

(3.7–8.7)

Tooele County, Utah

317

11.5

2.4

(6.7–16.3)

Utah County, Utah

647

10.0

1.3

(7.4–12.6)

Weber County, Utah

550

10.6

1.5

(7.7–13.5)

Chittenden County, Vermont

1,094

7.5

0.8

(5.9–9.1)

Franklin County, Vermont

331

9.9

1.6

(6.8–13.0)

Orange County, Vermont

282

6.5

1.5

(3.5–9.5)

Rutland County, Vermont

528

11.6

1.6

(8.5–14.7)

Washington County, Vermont

535

7.6

1.2

(5.3–9.9)

Windsor County, Vermont

555

9.1

1.3

(6.6–11.6)

Benton County, Washington

286

9.5

1.7

(6.2–12.8)

Clark County, Washington

841

7.3

0.9

(5.6–9.0)

Franklin County, Washington

171

11.6

2.7

(6.3–16.9)

King County, Washington

2,295

7.3

0.6

(6.2–8.4)

Kitsap County, Washington

730

9.3

1.1

(7.2–11.4)

Pierce County, Washington

1,269

10.3

1.0

(8.4–12.2)

Snohomish County, Washington

1,226

7.1

0.8

(5.6–8.6)

Spokane County, Washington

925

8.1

1.0

(6.1–10.1)

Thurston County, Washington

566

8.6

1.2

(6.3–10.9)

Yakima County, Washington

558

8.8

1.2

(6.4–11.2)

Kanawha County, West Virginia

403

14.7

2.0

(10.8–18.6)

Milwaukee County, Wisconsin

889

9.9

1.6

(6.7–13.1)

Laramie County, Wyoming

711

13.5

1.4

(10.7–16.3)

Natrona County, Wyoming

599

11.9

1.4

(9.1–14.7)

Median

10.4

Range

4.9-19.6

Abbreviations: SE = standard error; CI = confidence interval.

* Including heart attack, also known as myocardial infarction, and angina.


TABLE 67. Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by state/territory — Behavioral Risk Factor Surveillance System, United States, 2010

State/Territory

Sample size

%

SE

(95% CI)

Alabama

5,909

6.7

0.4

(5.8–7.6)

Alaska

1,273

3.6

0.8

(2.1–5.1)

Arizona

4,626

4.6

0.4

(3.7–5.5)

Arkansas

3,271

5.3

0.4

(4.4–6.2)

California

12,632

4.2

0.2

(3.8–4.6)

Colorado

8,809

3.2

0.2

(2.8–3.6)

Connecticut

5,118

2.9

0.3

(2.4–3.4)

Delaware

3,232

4.5

0.4

(3.7–5.3)

District of Columbia

2,894

5.3

0.6

(4.2–6.4)

Florida

28,230

5.0

0.3

(4.4–5.6)

Georgia

4,344

5.0

0.4

(4.3–5.7)

Hawaii

5,012

4.4

0.4

(3.7–5.1)

Idaho

5,331

3.6

0.3

(3.1–4.1)

Illinois

3,901

4.4

0.4

(3.6–5.2)

Indiana

7,776

5.1

0.3

(4.5–5.7)

Iowa

4,707

4.5

0.3

(3.9–5.1)

Kansas

6,588

4.6

0.3

(4.1–5.1)

Kentucky

6,187

5.9

0.4

(5.1–6.7)

Louisiana

5,257

5.5

0.4

(4.8–6.2)

Maine

6,385

4.2

0.3

(3.7–4.7)

Maryland

6,799

4.5

0.3

(3.9–5.1)

Massachusetts

12,037

3.4

0.2

(3.0–3.8)

Michigan

7,040

4.8

0.3

(4.3–5.3)

Minnesota

6,572

3.2

0.3

(2.6–3.8)

Mississippi

6,317

6.8

0.4

(6.0–7.6)

Missouri

4,207

6.6

0.5

(5.6–7.6)

Montana

5,657

4.3

0.3

(3.6–5.0)

Nebraska

12,973

4.3

0.3

(3.7–4.9)

Nevada

2,928

5.6

0.6

(4.3–6.9)

New Hampshire

4,732

3.6

0.3

(3.0–4.2)

New Jersey

9,075

4.0

0.3

(3.4–4.6)

New Mexico

5,431

4.4

0.3

(3.7–5.1)

New York

6,743

3.6

0.2

(3.1–4.1)

North Carolina

9,064

5.5

0.3

(4.9–6.1)

North Dakota

3,589

4.2

0.4

(3.5–4.9)

Ohio

7,633

5.0

0.3

(4.4–5.6)

Oklahoma

5,866

7.1

0.4

(6.4–7.8)

Oregon

4,108

4.5

0.3

(3.8–5.2)

Pennsylvania

8,651

5.3

0.3

(4.7–5.9)

Rhode Island

5,021

4.2

0.3

(3.5–4.9)

South Carolina

7,392

6.1

0.4

(5.3–6.9)

South Dakota

5,122

3.7

0.3

(3.1–4.3)

Tennessee

4,539

5.8

0.4

(4.9–6.7)

Texas

13,335

5.0

0.3

(4.4–5.6)

Utah

6,650

4.0

0.3

(3.5–4.5)

Vermont

5,348

3.5

0.3

(3.0–4.0)

Virginia

4,106

4.5

0.4

(3.8–5.2)

Washington

15,325

3.9

0.2

(3.5–4.3)

West Virginia

3,362

5.6

0.4

(4.8–6.4)

Wisconsin

3,639

3.3

0.4

(2.6–4.0)

Wyoming

4,567

3.2

0.3

(2.7–3.7)

Guam

405

5.0

1.2

(2.6–7.4)

Puerto Rico

2,682

3.4

0.4

(2.7–4.1)

Virgin Islands

1,274

2.4

0.5

(1.5–3.3)

Median

4.5

Range

2.4-7.1

Abbreviations: SE = standard error; CI = confidence interval.


TABLE 68. Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Akron, Ohio

648

4.5

0.9

(2.7–6.3)

Albuquerque, New Mexico

1,689

3.9

0.5

(2.8–5.0)

Allentown-Bethlehem-Easton, Pennsylvania-New Jersey

837

4.6

0.9

(2.8–6.4)

Amarillo, Texas

637

3.1

0.7

(1.8–4.4)

Arcadia, Florida

429

5.4

1.2

(3.0–7.8)

Asheville, North Carolina

454

6.3

1.3

(3.8–8.8)

Atlanta-Sandy Springs-Marietta, Georgia

1,708

4.2

0.6

(3.0–5.4)

Atlantic City, New Jersey

699

4.9

1.2

(2.6–7.2)

Augusta-Richmond County, Georgia-South Carolina

668

6.0

1.0

(4.0–8.0)

Augusta-Waterville, Maine

522

4.9

1.0

(2.9–6.9)

Austin-Round Rock, Texas

685

4.2

1.4

(1.5–6.9)

Baltimore-Towson, Maryland

2,442

4.7

0.5

(3.7–5.7)

Bangor, Maine

529

4.2

0.9

(2.5–5.9)

Barre, Vermont

535

3.5

0.9

(1.8–5.2)

Baton Rouge, Louisiana

852

4.2

0.8

(2.7–5.7)

Bethesda-Gaithersburg-Frederick, Maryland*

1,207

4.3

0.8

(2.7–5.9)

Billings, Montana

432

5.6

1.1

(3.4–7.8)

Birmingham-Hoover, Alabama

898

6.0

0.9

(4.3–7.7)

Bismarck, North Dakota

579

4.7

0.9

(3.0–6.4)

Boise City-Nampa, Idaho

1,236

3.2

0.5

(2.3–4.1)

Boston-Quincy, Massachusetts*

2,403

3.7

0.5

(2.8–4.6)

Bremerton-Silverdale, Washington

733

3.7

0.7

(2.3–5.1)

Bridgeport-Stamford-Norwalk, Connecticut

1,618

2.4

0.5

(1.5–3.3)

Buffalo-Cheektowaga-Tonawanda, New York

501

3.4

0.8

(1.9–4.9)

Burlington-South Burlington, Vermont

1,493

3.6

0.5

(2.6–4.6)

Cambridge-Newton-Framingham, Massachusetts*

2,130

3.0

0.6

(1.9–4.1)

Camden, New Jersey*

1,261

4.0

0.6

(2.8–5.2)

Canton-Massillon, Ohio

594

3.5

0.7

(2.0–5.0)

Cape Coral-Fort Myers, Florida

433

5.3

1.2

(2.9–7.7)

Casper, Wyoming

599

5.4

1.0

(3.4–7.4)

Cedar Rapids, Iowa

430

3.6

0.9

(1.9–5.3)

Charleston, West Virginia

606

6.3

1.0

(4.3–8.3)

Charleston-North Charleston, South Carolina

889

6.2

1.2

(3.9–8.5)

Charlotte-Gastonia-Concord, North Carolina-South Carolina

1,286

4.6

0.8

(3.1–6.1)

Chattanooga, Tennessee-Georgia

423

6.0

1.6

(2.9–9.1)

Cheyenne, Wyoming

714

3.3

0.6

(2.1–4.5)

Chicago-Naperville-Joliet, Illinois-Indiana-Wisconsin

3,700

4.4

0.4

(3.5–5.3)

Cincinnati-Middletown, Ohio-Kentucky-Indiana

1,384

4.1

0.7

(2.7–5.5)

Cleveland-Elyria-Mentor, Ohio

879

4.7

0.8

(3.2–6.2)

Coeur d´Alene, Idaho

477

3.4

0.7

(2.0–4.8)

Colorado Springs, Colorado

854

3.1

0.7

(1.8–4.4)

Columbia, South Carolina

857

6.6

1.2

(4.2–9.0)

Columbus, Ohio

998

3.7

0.6

(2.4–5.0)

Concord, New Hampshire

516

3.7

0.8

(2.0–5.4)

Dallas-Plano-Irving, Texas*

515

3.5

0.8

(1.9–5.1)

Dayton, Ohio

684

7.7

1.6

(4.6–10.8)

Del Rio, Texas

413

4.5

1.2

(2.2–6.8)

Deltona-Daytona Beach-Ormond Beach, Florida

733

5.6

1.0

(3.7–7.5)

Denver-Aurora, Colorado

3,541

3.2

0.4

(2.5–3.9)

Des Moines-West Des Moines, Iowa

740

4.7

0.8

(3.1–6.3)

Detroit-Livonia-Dearborn, Michigan*

1,545

5.5

0.6

(4.3–6.7)

Dover, Delaware

912

5.5

0.8

(3.9–7.1)

Durham, North Carolina

739

5.2

1.3

(2.7–7.7)

Edison, New Jersey*

1,680

3.4

0.6

(2.3–4.5)

El Paso, Texas

609

4.6

1.1

(2.4–6.8)

Eugene-Springfield, Oregon

425

3.0

0.7

(1.6–4.4)

Evansville, Indiana-Kentucky

420

4.3

1.0

(2.3–6.3)

Fargo, North Dakota-Minnesota

624

2.5

0.7

(1.2–3.8)

Farmington, New Mexico

515

3.9

0.9

(2.1–5.7)

Fayetteville-Springdale-Rogers, Arkansas-Missouri

536

3.7

0.9

(1.9–5.5)

Fort Collins-Loveland, Colorado

444

3.1

0.8

(1.5–4.7)

Fort Wayne, Indiana

538

4.7

1.0

(2.7–6.7)

Fort Worth-Arlington, Texas*

574

4.9

1.0

(2.9–6.9)


TABLE 68. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Gainesville, Florida

745

4.8

1.2

(2.4–7.2)

Grand Island, Nebraska

689

6.4

1.1

(4.3–8.5)

Grand Rapids-Wyoming, Michigan

478

3.3

0.7

(1.9–4.7)

Greensboro-High Point, North Carolina

917

5.2

0.8

(3.6–6.8)

Greenville, South Carolina

622

4.9

1.0

(2.9–6.9)

Hagerstown-Martinsburg, Maryland-West Virginia

484

4.1

1.0

(2.1–6.1)

Hartford-West Hartford-East Hartford, Connecticut

1,563

2.4

0.4

(1.6–3.2)

Hastings, Nebraska

471

2.6

0.7

(1.2–4.0)

Helena, Montana

523

2.6

0.6

(1.5–3.7)

Hickory-Morganton-Lenoir, North Carolina

456

5.7

1.2

(3.3–8.1)

Hilo, Hawaii

1,127

4.0

0.7

(2.7–5.3)

Hilton Head Island-Beaufort, South Carolina

672

3.3

0.7

(1.9–4.7)

Homosassa Springs, Florida

472

7.7

1.5

(4.7–10.7)

Honolulu, Hawaii

2,230

4.1

0.4

(3.2–5.0)

Houston-Sugar Land-Baytown, Texas

1,950

4.9

0.6

(3.7–6.1)

Huntington-Ashland, West Virginia-Kentucky-Ohio

504

8.7

1.5

(5.7–11.7)

Idaho Falls, Idaho

471

2.6

0.7

(1.2–4.0)

Indianapolis-Carmel, Indiana

1,686

5.4

0.7

(4.1–6.7)

Jackson, Mississippi

570

5.6

1.2

(3.3–7.9)

Jacksonville, Florida

1,983

4.5

0.7

(3.1–5.9)

Kahului-Wailuku, Hawaii

1,135

4.6

0.8

(3.0–6.2)

Kalispell, Montana

533

3.0

0.8

(1.5–4.5)

Kansas City, Missouri-Kansas

2,541

4.2

0.5

(3.2–5.2)

Kapaa, Hawaii

520

5.8

1.4

(3.0–8.6)

Kennewick-Richland-Pasco, Washington

465

3.2

0.8

(1.6–4.8)

Key West-Marathon, Florida

438

4.3

1.0

(2.4–6.2)

Kingsport-Bristol, Tennessee-Virginia

554

5.2

1.3

(2.7–7.7)

Knoxville, Tennessee

424

6.1

1.4

(3.4–8.8)

Lake City, Florida

421

7.2

1.5

(4.2–10.2)

Lakeland-Winter Haven, Florida

428

8.8

1.7

(5.4–12.2)

Laredo, Texas

539

2.9

0.7

(1.5–4.3)

Las Cruces, New Mexico

399

4.4

1.0

(2.5–6.3)

Las Vegas-Paradise, Nevada

911

6.3

0.9

(4.5–8.1)

Lebanon, New Hampshire-Vermont

1,246

3.0

0.5

(2.0–4.0)

Lewiston, Idaho-Washington

500

4.1

0.8

(2.5–5.7)

Lewiston-Auburn, Maine

375

6.1

1.3

(3.5–8.7)

Lincoln, Nebraska

875

3.2

0.6

(1.9–4.5)

Little Rock-North Little Rock, Arkansas

671

4.4

0.9

(2.7–6.1)

Los Angeles-Long Beach-Glendale, California*

1,739

3.4

0.5

(2.4–4.4)

Louisville, Kentucky-Indiana

704

4.4

0.9

(2.7–6.1)

Lubbock, Texas

599

5.6

1.0

(3.6–7.6)

Manchester-Nashua, New Hampshire

1,076

3.5

0.6

(2.4–4.6)

McAllen-Edinburg-Mission, Texas

380

4.0

1.1

(1.8–6.2)

Memphis, Tennessee-Mississippi-Arkansas

892

8.0

1.4

(5.3–10.7)

Miami-Fort Lauderdale-Miami Beach, Florida

817

5.5

1.5

(2.6–8.4)

Midland, Texas

417

4.1

1.0

(2.2–6.0)

Milwaukee-Waukesha-West Allis, Wisconsin

1,123

3.8

0.9

(2.1–5.5)

Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin

3,440

3.2

0.5

(2.3–4.1)

Minot, North Dakota

406

4.4

1.3

(1.9–6.9)

Mobile, Alabama

528

7.3

1.3

(4.8–9.8)

Myrtle Beach-Conway-North Myrtle Beach, South Carolina

449

5.6

1.2

(3.2–8.0)

Naples-Marco Island, Florida

468

5.0

1.2

(2.6–7.4)

Nashville-Davidson-Murfreesboro, Tennessee

615

3.2

0.7

(1.7–4.7)

Nassau-Suffolk, New York*

801

3.4

0.6

(2.2–4.6)

Newark-Union, New Jersey-Pennsylvania*

2,433

4.3

0.5

(3.2–5.4)

New Haven-Milford, Connecticut

1,253

3.6

0.6

(2.4–4.8)

New Orleans-Metairie-Kenner, Louisiana

1,170

6.1

0.8

(4.5–7.7)

New York-White Plains-Wayne, New York-New Jersey*

4,326

3.5

0.3

(2.9–4.1)

Norfolk, Nebraska

548

4.7

0.9

(2.9–6.5)

North Platte, Nebraska

North Port-Bradenton-Sarasota, Florida

481

980

6.9

5.8

1.6

0.8

(3.7–10.1)

(4.4–7.7)

Ocala, Florida

492

4.6

1.0

(2.6–6.6)

Ocean City, New Jersey

425

3.3

0.8

(1.6–5.0)


TABLE 68. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Ogden-Clearfield, Utah

1,122

4.4

0.6

(3.2–5.6)

Oklahoma City, Oklahoma

1,802

6.0

0.6

(4.9–7.1)

Olympia, Washington

570

3.6

0.7

(2.2–5.0)

Omaha-Council Bluffs, Nebraska-Iowa

1,676

4.4

0.6

(3.2–5.6)

Orlando-Kissimmee, Florida

2,007

4.8

0.6

(3.7–5.9)

Palm Bay-Melbourne-Titusville, Florida

440

7.5

1.6

(4.3–10.7)

Panama City-Lynn Haven, Florida

Peabody, Massachusetts

417

1,520

3.5

3.5

0.9

0.7

(1.8–5.2)

(2.3–5.2)

Pensacola-Ferry Pass-Brent, Florida

790

5.2

0.9

(3.4–7.0)

Philadelphia, Pennsylvania*

1,775

4.9

0.9

(3.2–6.6)

Phoenix-Mesa-Scottsdale, Arizona

1,324

4.7

0.6

(3.5–5.9)

Pittsburgh, Pennsylvania

1,938

5.2

0.6

(4.1–6.3)

Portland-South Portland-Biddeford, Maine

2,058

3.3

0.4

(2.5–4.1)

Portland-Vancouver-Beaverton, Oregon-Washington

2,667

4.1

0.4

(3.3–4.9)

Port St. Lucie-Fort Pierce, Florida

879

6.1

1.0

(4.2–8.0)

Providence-New Bedford-Fall River, Rhode Island-Massachusetts

7,243

3.8

0.3

(3.3–4.3)

Provo-Orem, Utah

693

4.5

0.9

(2.8–6.2)

Raleigh-Cary, North Carolina

691

4.0

0.8

(2.5–5.5)

Rapid City, South Dakota

644

3.0

0.7

(1.7–4.3)

Reno-Sparks, Nevada

975

2.7

0.4

(1.8–3.6)

Richmond, Virginia

615

4.9

1.0

(3.0–6.8)

Riverside-San Bernardino-Ontario, California

1,289

4.1

0.6

(3.0–5.2)

Rochester, New York

463

3.3

0.9

(1.6–5.0)

Rockingham County-Strafford County, New Hampshire*

1,226

3.7

0.6

(2.6–4.8)

Rutland, Vermont

526

2.3

0.7

(1.0–3.6)

Sacramento-Arden-Arcade-Roseville, California

983

4.9

0.8

(3.3–6.5)

St. Louis, Missouri-Illinois

1,296

5.4

0.9

(3.6–7.2)

Salt Lake City, Utah

2,846

3.7

0.4

(2.9–4.5)

San Antonio, Texas

837

4.4

0.7

(3.0–5.8)

San Diego-Carlsbad-San Marcos, California

1,204

4.9

0.7

(3.5–6.3)

San Francisco-Oakland-Fremont, California

1,724

3.7

0.6

(2.6–4.8)

San Jose-Sunnyvale-Santa Clara, California

624

5.2

1.3

(2.7–7.7)

Santa Ana-Anaheim-Irvine, California*

1,052

4.9

0.8

(3.3–6.5)

Santa Fe, New Mexico

503

3.2

1.0

(1.3–5.1)

Scottsbluff, Nebraska

649

4.1

0.9

(2.4–5.8)

Scranton-Wilkes-Barre, Pennsylvania

446

5.3

1.1

(3.1–7.5)

Seaford, Delaware

1,043

5.5

0.8

(4.0–7.0)

Seattle-Bellevue-Everett, Washington*

3,563

3.3

0.3

(2.6–4.0)

Sebring, Florida

463

5.4

1.0

(3.4–7.4)

Shreveport-Bossier City, Louisiana

518

6.4

1.2

(4.1–8.7)

Sioux City, Iowa-Nebraska-South Dakota

898

2.7

0.7

(1.3–4.1)

Sioux Falls, South Dakota

628

3.2

0.7

(1.9–4.5)

Spokane, Washington

935

4.1

0.8

(2.6–5.6)

Springfield, Massachusetts

1,571

3.7

0.6

(2.5–4.9)

Tacoma, Washington*

1,285

4.4

0.7

(3.1–5.7)

Tallahassee, Florida

1,571

5.1

0.9

(3.4–6.8)

Tampa-St. Petersburg-Clearwater, Florida

1,695

5.8

0.8

(4.3–7.3)

Toledo, Ohio

663

5.8

1.1

(3.7–7.9)

Topeka, Kansas

648

4.0

0.7

(2.6–5.4)

Trenton-Ewing, New Jersey

366

3.6

1.3

(1.1–6.1)

Tucson, Arizona

589

6.4

1.2

(4.1–8.7)

Tulsa, Oklahoma

1,587

6.8

0.7

(5.4–8.2)

Tuscaloosa, Alabama

380

6.5

1.3

(3.9–9.1)

Twin Falls, Idaho

430

5.3

1.2

(2.9–7.7)

Tyler, Texas

533

6.4

1.2

(4.1–8.7)

Virginia Beach-Norfolk-Newport News, Virginia-North Carolina

816

6.5

1.0

(4.5–8.5)

Warren-Troy-Farmington Hills, Michigan*

1,452

3.2

0.5

(2.3–4.1)

Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia*

4,609

3.0

0.4

(2.1–3.9)

Wauchula, Florida

413

5.5

1.3

(3.0–8.0)

West Palm Beach-Boca Raton-Boynton Beach, Florida*

475

2.6

0.7

(1.3–3.9)

Wichita, Kansas

1,417

5.2

0.6

(4.0–6.4)

Wichita Falls, Texas

670

6.8

1.4

(4.0–9.6)

Wilmington, Delaware-Maryland-New Jersey*

1,615

4.4

0.6

(3.3–5.5)


TABLE 68. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010

MMSA

Sample size

%

SE

(95% CI)

Worcester, Massachusetts

1,531

3.2

0.6

(2.0–4.4)

Yakima, Washington

568

4.7

1.2

(2.4–7.0)

Youngstown-Warren-Boardman, Ohio-Pennsylvania

878

5.1

1.2

(2.8–7.4)

Median

4.4

Range

2.3-8.8

Abbreviations: SE = standard error; CI = confidence interval.

* Metropolitan division.


TABLE 69. Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Jefferson County, Alabama

453

6.2

1.2

(3.9–8.5)

Mobile County, Alabama

528

7.3

1.3

(4.8–9.8)

Tuscaloosa County, Alabama

312

6.5

1.5

(3.6–9.4)

Maricopa County, Arizona

1,007

4.7

0.7

(3.4–6.0)

Pima County, Arizona

589

6.4

1.2

(4.1–8.7)

Pinal County, Arizona

317

4.8

1.1

(2.6–7.0)

Benton County, Arkansas

277

1.7

0.6

(0.5–2.9)

Pulaski County, Arkansas

459

4.7

1.1

(2.6–6.8)

Washington County, Arkansas

231

7.1

2.4

(2.3–11.9)

Alameda County, California

522

2.6

0.8

(1.1–4.1)

Contra Costa County, California

496

3.8

1.1

(1.7–5.9)

Los Angeles County, California

1,739

3.4

0.5

(2.4–4.4)

Orange County, California

1,052

4.9

0.8

(3.3–6.5)

Placer County, California

204

4.1

1.3

(1.5–6.7)

Riverside County, California

632

4.6

0.9

(2.9–6.3)

Sacramento County, California

556

5.8

1.2

(3.5–8.1)

San Bernardino County, California

657

3.5

0.7

(2.1–4.9)

San Diego County, California

1,204

4.9

0.7

(3.5–6.3)

San Francisco County, California

269

2.4

1.0

(0.5–4.3)

San Mateo County, California

277

5.7

1.8

(2.2–9.2)

Santa Clara County, California

594

4.7

1.2

(2.3–7.1)

Adams County, Colorado

563

3.3

1.0

(1.4–5.2)

Arapahoe County, Colorado

638

2.9

0.7

(1.5–4.3)

Denver County, Colorado

647

5.5

1.1

(3.3–7.7)

Douglas County, Colorado

371

2.2

0.8

(0.6–3.8)

El Paso County, Colorado

749

3.1

0.7

(1.7–4.5)

Jefferson County, Colorado

919

2.3

0.6

(1.2–3.4)

Larimer County, Colorado

444

3.1

0.8

(1.5–4.7)

Fairfield County, Connecticut

1,618

2.4

0.5

(1.5–3.3)

Hartford County, Connecticut

1,172

2.7

0.5

(1.7–3.7)

Middlesex County, Connecticut

198

2.5

1.1

(0.4–4.6)

New Haven County, Connecticut

1,253

3.6

0.6

(2.4–4.8)

Tolland County, Connecticut

193

NA*

NA

NA

Kent County, Delaware

912

5.5

0.8

(3.9–7.1)

New Castle County, Delaware

1,277

3.7

0.5

(2.6–4.8)

Sussex County, Delaware

1,043

5.5

0.8

(4.0–7.0)

District of Columbia, District of Columbia

2,894

5.9

0.6

(4.8–7.0)

Alachua County, Florida

408

4.8

1.3

(2.2–7.4)

Baker County, Florida

380

5.1

1.3

(2.6–7.6)

Bay County, Florida

417

3.5

0.9

(1.8–5.2)

Brevard County, Florida

440

7.5

1.6

(4.3–10.7)

Broward County, Florida

428

5.4

1.7

(2.0–8.8)

Citrus County, Florida

472

7.7

1.5

(4.7–10.7)

Clay County, Florida

358

3.0

0.9

(1.2–4.8)

Collier County, Florida

468

5.0

1.2

(2.6–7.4)

Columbia County, Florida

421

7.2

1.5

(4.2–10.2)

DeSoto County, Florida

429

5.4

1.2

(3.0–7.8)

Duval County, Florida

412

5.1

1.2

(2.8–7.4)

Escambia County, Florida

415

5.0

1.3

(2.5–7.5)

Gadsden County, Florida

407

4.8

1.1

(2.6–7.0)

Gilchrist County, Florida

337

5.2

1.5

(2.3–8.1)

Hardee County, Florida

413

5.5

1.3

(3.0–8.0)

Hernando County, Florida

421

5.5

1.2

(3.1–7.9)

Highlands County, Florida

463

5.4

1.0

(3.4–7.4)

Hillsborough County, Florida

395

6.2

1.5

(3.3–9.1)

Jefferson County, Florida

413

6.4

1.3

(3.8–9.0)

Lake County, Florida

502

5.3

1.0

(3.3–7.3)

Lee County, Florida

433

5.3

1.2

(2.9–7.7)

Leon County, Florida

369

5.5

1.4

(2.8–8.2)

Manatee County, Florida

446

5.0

1.1

(2.8–7.2)

Marion County, Florida

492

4.6

1.0

(2.6–6.6)

Martin County, Florida

467

4.7

1.1

(2.5–6.9)

Miami-Dade County, Florida

389

4.2

1.3

(1.7–6.7)


TABLE 69. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Monroe County, Florida

438

4.3

1.0

(2.4–6.2)

Nassau County, Florida

410

3.7

0.8

(2.1–5.3)

Orange County, Florida

702

5.7

1.2

(3.4–8.0)

Osceola County, Florida

433

8.0

1.9

(4.3–11.7)

Palm Beach County, Florida

475

2.6

0.7

(1.3–3.9)

Pasco County, Florida

455

5.7

1.1

(3.6–7.8)

Pinellas County, Florida

424

5.5

1.3

(2.9–8.1)

Polk County, Florida

428

8.8

1.7

(5.4–12.2)

St. Johns County, Florida

423

4.7

1.1

(2.6–6.8)

St. Lucie County, Florida

412

6.4

1.3

(3.8–9.0)

Santa Rosa County, Florida

375

5.5

1.2

(3.2–7.8)

Sarasota County, Florida

543

6.3

1.1

(4.1–8.5)

Seminole County, Florida

370

1.9

0.7

(0.5–3.3)

Volusia County, Florida

733

5.6

1.0

(3.7–7.5)

Wakulla County, Florida

382

4.2

1.1

(2.1–6.3)

Cobb County, Georgia

192

NA

NA

NA

DeKalb County, Georgia

262

5.9

1.8

(2.3–9.5)

Fulton County, Georgia

243

3.4

1.3

(0.9–5.9)

Gwinnett County, Georgia

174

2.5

1.2

(0.2–4.8)

Hawaii County, Hawaii

1,127

4.0

0.7

(2.7–5.3)

Honolulu County, Hawaii

2,230

4.1

0.4

(3.2–5.0)

Kauai County, Hawaii

520

5.8

1.4

(3.0–8.6)

Maui County, Hawaii

1,135

4.6

0.8

(3.0–6.2)

Ada County, Idaho

649

3.0

0.7

(1.7–4.3)

Bonneville County, Idaho

366

2.1

0.7

(0.8–3.4)

Canyon County, Idaho

448

4.3

0.9

(2.5–6.1)

Kootenai County, Idaho

477

3.4

0.7

(2.0–4.8)

Nez Perce County, Idaho

309

1.9

0.7

(0.5–3.3)

Twin Falls County, Idaho

342

6.0

1.5

(3.1–8.9)

Cook County, Illinois

2,117

5.0

0.5

(3.9–6.1)

DuPage County, Illinois

177

NA

NA

NA

Allen County, Indiana

439

5.4

1.2

(3.1–7.7)

Lake County, Indiana

763

6.5

1.3

(4.0–9.0)

Marion County, Indiana

1,125

6.3

1.1

(4.2–8.4)

Linn County, Iowa

376

3.8

0.9

(2.0–5.6)

Polk County, Iowa

572

4.5

0.9

(2.8–6.2)

Johnson County, Kansas

1,031

2.2

0.5

(1.3–3.1)

Sedgwick County, Kansas

1,098

5.6

0.7

(4.2–7.0)

Shawnee County, Kansas

492

4.3

0.9

(2.6–6.0)

Wyandotte County, Kansas

465

5.8

1.3

(3.3–8.3)

Jefferson County, Kentucky

320

5.4

1.4

(2.7–8.1)

Caddo Parish, Louisiana

342

5.6

1.5

(2.8–8.4)

East Baton Rouge Parish, Louisiana

521

3.3

1.0

(1.3–5.3)

Jefferson Parish, Louisiana

470

5.9

1.3

(3.4–8.4)

Orleans Parish, Louisiana

286

6.1

1.5

(3.1–9.1)

St. Tammany Parish, Louisiana

283

5.6

1.4

(2.8–8.4)

Androscoggin County, Maine

375

6.1

1.3

(3.5–8.7)

Cumberland County, Maine

1,105

2.0

0.4

(1.2–2.8)

Kennebec County, Maine

522

4.9

1.0

(2.9–6.9)

Penobscot County, Maine

529

4.2

0.9

(2.5–5.9)

Sagadahoc County, Maine

234

5.4

1.5

(2.5–8.3)

York County, Maine

719

5.0

0.9

(3.3–6.7)

Anne Arundel County, Maryland

431

3.5

0.9

(1.8–5.2)

Baltimore County, Maryland

775

4.7

0.9

(3.0–6.4)

Cecil County, Maryland

198

3.7

1.4

(1.0–6.4)

Charles County, Maryland

233

8.1

2.5

(3.2–13.0)

Frederick County, Maryland

422

3.3

0.8

(1.7–4.9)

Harford County, Maryland

207

4.1

1.5

(1.2–7.0)

Howard County, Maryland

233

3.6

1.3

(1.0–6.2)

Montgomery County, Maryland

785

4.4

1.0

(2.5–6.3)

Prince George´s County, Maryland

542

3.5

1.0

(1.6–5.4)

Queen Anne´s County, Maryland

223

1.7

0.8

(0.1–3.3)

Washington County, Maryland

311

5.1

1.5

(2.1–8.1)


TABLE 69. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Baltimore city, Maryland

403

5.9

1.3

(3.3–8.5)

Bristol County, Massachusetts

2,222

3.1

0.5

(2.1–4.1)

Essex County, Massachusetts

1,557

3.5

0.7

(2.1–4.9)

Hampden County, Massachusetts

1,216

4.5

0.8

(2.9–6.1)

Hampshire County, Massachusetts

214

2.1

1.0

(0.2–4.0)

Middlesex County, Massachusetts

2,130

2.7

0.5

(1.8–3.6)

Norfolk County, Massachusetts

652

3.0

0.7

(1.6–4.4)

Plymouth County, Massachusetts

508

3.1

0.7

(1.6–4.6)

Suffolk County, Massachusetts

1,243

4.7

0.8

(3.1–6.3)

Worcester County, Massachusetts

1,531

3.2

0.6

(2.0–4.4)

Kent County, Michigan

345

2.9

0.8

(1.4–4.4)

Macomb County, Michigan

406

4.0

1.0

(2.1–5.9)

Oakland County, Michigan

770

2.2

0.5

(1.2–3.2)

Wayne County, Michigan

1,545

5.5

0.6

(4.3–6.7)

Anoka County, Minnesota

263

5.2

1.5

(2.2–8.2)

Dakota County, Minnesota

397

2.7

1.2

(0.3–5.1)

Hennepin County, Minnesota

1,476

3.2

0.7

(1.9–4.5)

Ramsey County, Minnesota

695

3.9

1.2

(1.5–6.3)

Washington County, Minnesota

170

NA

NA

NA

DeSoto County, Mississippi

296

5.0

1.4

(2.3–7.7)

Hinds County, Mississippi

247

6.6

2.1

(2.5–10.7)

Jackson County, Missouri

404

3.8

1.0

(1.9–5.7)

St. Louis County, Missouri

463

4.9

1.2

(2.5–7.3)

St. Louis city, Missouri

466

4.6

0.9

(2.8–6.4)

Flathead County, Montana

533

3.0

0.8

(1.5–4.5)

Lewis and Clark County, Montana

431

2.9

0.7

(1.6–4.2)

Yellowstone County, Montana

389

6.0

1.2

(3.6–8.4)

Adams County, Nebraska

385

2.6

0.8

(1.1–4.1)

Dakota County, Nebraska

547

4.8

1.0

(2.8–6.8)

Douglas County, Nebraska

691

5.0

0.9

(3.2–6.8)

Hall County, Nebraska

471

6.8

1.3

(4.2–9.4)

Lancaster County, Nebraska

646

3.0

0.7

(1.7–4.3)

Lincoln County, Nebraska

458

7.2

1.7

(3.9–10.5)

Madison County, Nebraska

382

4.7

1.1

(2.6–6.8)

Sarpy County, Nebraska

400

2.4

0.7

(1.0–3.8)

Scotts Bluff County, Nebraska

628

4.3

0.9

(2.6–6.0)

Seward County, Nebraska

229

5.0

1.4

(2.3–7.7)

Clark County, Nevada

911

6.3

0.9

(4.5–8.1)

Washoe County, Nevada

959

2.7

0.5

(1.8–3.6)

Grafton County, New Hampshire

409

2.6

0.8

(1.0–4.2)

Hillsborough County, New Hampshire

1,076

3.5

0.6

(2.4–4.6)

Merrimack County, New Hampshire

516

3.7

0.8

(2.0–5.4)

Rockingham County, New Hampshire

786

3.4

0.7

(2.0–4.8)

Strafford County, New Hampshire

440

4.4

1.0

(2.4–6.4)

Atlantic County, New Jersey

699

4.9

1.2

(2.6–7.2)

Bergen County, New Jersey

467

4.1

1.2

(1.7–6.5)

Burlington County, New Jersey

434

3.7

0.9

(1.9–5.5)

Camden County, New Jersey

448

3.8

0.9

(2.0–5.6)

Cape May County, New Jersey

425

3.3

0.8

(1.6–5.0)

Essex County, New Jersey

713

5.9

1.1

(3.8–8.0)

Gloucester County, New Jersey

379

4.1

1.2

(1.8–6.4)

Hudson County, New Jersey

673

4.3

0.8

(2.7–5.9)

Hunterdon County, New Jersey

397

1.8

0.6

(0.6–3.0)

Mercer County, New Jersey

366

3.6

1.3

(1.1–6.1)

Middlesex County, New Jersey

441

2.5

0.7

(1.1–3.9)

Monmouth County, New Jersey

431

2.6

1.1

(0.5–4.7)

Morris County, New Jersey

527

2.8

0.8

(1.2–4.4)

Ocean County, New Jersey

424

5.1

1.2

(2.7–7.5)

Passaic County, New Jersey

342

2.7

1.0

(0.8–4.6)

Somerset County, New Jersey

384

2.0

0.8

(0.4–3.6)

Sussex County, New Jersey

368

2.0

0.6

(0.7–3.3)

Union County, New Jersey

380

5.0

1.3

(2.5–7.5)

Warren County, New Jersey

382

4.2

1.1

(2.1–6.3)


TABLE 69. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Bernalillo County, New Mexico

961

4.1

0.7

(2.7–5.5)

Dona Ana County, New Mexico

399

4.4

1.0

(2.5–6.3)

Sandoval County, New Mexico

406

3.0

0.9

(1.3–4.7)

San Juan County, New Mexico

515

3.9

0.9

(2.1–5.7)

Santa Fe County, New Mexico

503

3.2

1.0

(1.3–5.1)

Valencia County, New Mexico

280

4.0

1.3

(1.5–6.5)

Bronx County, New York

282

5.4

1.3

(2.9–7.9)

Erie County, New York

398

3.0

0.8

(1.5–4.5)

Kings County, New York

606

3.9

0.8

(2.4–5.4)

Monroe County, New York

308

3.5

1.1

(1.3–5.7)

Nassau County, New York

354

5.2

1.2

(2.8–7.6)

New York County, New York

800

3.1

0.8

(1.6–4.6)

Queens County, New York

567

3.2

0.8

(1.6–4.8)

Suffolk County, New York

447

2.1

0.6

(0.8–3.4)

Westchester County, New York

299

2.9

1.2

(0.5–5.3)

Buncombe County, North Carolina

212

8.8

2.4

(4.1–13.5)

Cabarrus County, North Carolina

232

6.0

1.5

(3.1–8.9)

Catawba County, North Carolina

230

1.7

0.7

(0.3–3.1)

Durham County, North Carolina

439

4.1

1.0

(2.2–6.0)

Gaston County, North Carolina

210

3.3

1.3

(0.7–5.9)

Guilford County, North Carolina

536

4.5

0.9

(2.7–6.3)

Johnston County, North Carolina

189

7.3

2.1

(3.1–11.5)

Mecklenburg County, North Carolina

452

4.0

1.1

(1.9–6.1)

Orange County, North Carolina

212

2.1

0.8

(0.4–3.8)

Randolph County, North Carolina

319

5.8

1.4

(3.1–8.5)

Union County, North Carolina

255

4.1

2.1

(0.1–8.1)

Wake County, North Carolina

474

3.2

0.7

(1.7–4.7)

Burleigh County, North Dakota

424

4.7

1.0

(2.8–6.6)

Cass County, North Dakota

581

3.1

0.7

(1.7–4.5)

Ward County, North Dakota

338

4.8

1.5

(1.9–7.7)

Cuyahoga County, Ohio

564

4.9

1.0

(3.0–6.8)

Franklin County, Ohio

487

4.2

0.9

(2.4–6.0)

Hamilton County, Ohio

560

3.0

0.7

(1.7–4.3)

Lucas County, Ohio

554

6.0

1.1

(3.9–8.1)

Mahoning County, Ohio

613

4.4

0.8

(2.7–6.1)

Montgomery County, Ohio

570

5.8

1.1

(3.7–7.9)

Stark County, Ohio

571

3.3

0.7

(1.9–4.7)

Summit County, Ohio

574

3.9

0.8

(2.2–5.6)

Cleveland County, Oklahoma

304

3.9

1.0

(2.0–5.8)

Oklahoma County, Oklahoma

1,056

5.7

0.8

(4.2–7.2)

Tulsa County, Oklahoma

1,088

7.2

0.9

(5.5–8.9)

Clackamas County, Oregon

370

3.6

0.9

(1.8–5.4)

Lane County, Oregon

425

3.0

0.7

(1.6–4.4)

Multnomah County, Oregon

631

5.7

1.0

(3.8–7.6)

Washington County, Oregon

430

3.4

0.8

(1.8–5.0)

Allegheny County, Pennsylvania

1,101

4.5

0.7

(3.1–5.9)

Lehigh County, Pennsylvania

204

6.4

2.2

(2.2–10.6)

Luzerne County, Pennsylvania

253

7.4

1.8

(3.9–10.9)

Montgomery County, Pennsylvania

260

3.2

1.3

(0.7–5.7)

Northampton County, Pennsylvania

200

3.6

1.3

(1.1–6.1)

Philadelphia County, Pennsylvania

1,056

6.6

0.9

(4.9–8.3)

Westmoreland County, Pennsylvania

268

4.6

1.4

(1.9–7.3)

Bristol County, Rhode Island

219

5.6

1.8

(2.1–9.1)

Kent County, Rhode Island

695

5.6

0.9

(3.8–7.4)

Newport County, Rhode Island

394

3.3

0.9

(1.6–5.0)

Providence County, Rhode Island

3,107

3.5

0.4

(2.7–4.3)

Washington County, Rhode Island

606

3.5

0.8

(1.9–5.1)

Aiken County, South Carolina

372

5.5

1.3

(3.0–8.0)

Beaufort County, South Carolina

577

3.2

0.8

(1.7–4.7)

Berkeley County, South Carolina

276

5.9

2.5

(1.0–10.8)

Charleston County, South Carolina

528

7.0

1.6

(3.9–10.1)

Greenville County, South Carolina

400

3.3

0.9

(1.5–5.1)

Horry County, South Carolina

449

5.6

1.2

(3.2–8.0)


TABLE 69. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by county — Behavioral Risk Factor Surveillance System, United States, 2010

County

Sample size

%

SE

(95% CI)

Richland County, South Carolina

501

6.3

1.8

(2.8–9.8)

Minnehaha County, South Dakota

459

3.5

0.8

(1.9–5.1)

Pennington County, South Dakota

512

3.3

0.8

(1.7–4.9)

Davidson County, Tennessee

315

4.0

1.2

(1.6–6.4)

Hamilton County, Tennessee

309

4.7

1.2

(2.3–7.1)

Knox County, Tennessee

297

5.9

1.5

(2.9–8.9)

Shelby County, Tennessee

305

8.5

1.9

(4.9–12.1)

Sullivan County, Tennessee

390

4.9

1.1

(2.8–7.0)

Bexar County, Texas

715

5.4

0.9

(3.7–7.1)

Dallas County, Texas

292

4.7

1.3

(2.1–7.3)

El Paso County, Texas

609

4.6

1.1

(2.4–6.8)

Fort Bend County, Texas

651

3.3

0.9

(1.6–5.0)

Harris County, Texas

1,033

5.1

0.8

(3.6–6.6)

Hidalgo County, Texas

380

4.0

1.1

(1.8–6.2)

Lubbock County, Texas

581

5.8

1.1

(3.7–7.9)

Midland County, Texas

417

4.1

1.0

(2.2–6.0)

Potter County, Texas

248

4.0

1.3

(1.5–6.5)

Randall County, Texas

365

3.0

1.0

(1.1–4.9)

Smith County, Texas

533

6.4

1.2

(4.1–8.7)

Tarrant County, Texas

461

4.4

1.2

(2.1–6.7)

Travis County, Texas

533

3.3

1.4

(0.6–6.0)

Val Verde County, Texas

413

4.5

1.2

(2.2–6.8)

Webb County, Texas

539

2.9

0.7

(1.5–4.3)

Wichita County, Texas

542

6.7

1.3

(4.2–9.2)

Davis County, Utah

540

3.9

0.8

(2.2–5.6)

Salt Lake County, Utah

2,196

3.7

0.4

(2.9–4.5)

Summit County, Utah

328

1.9

0.8

(0.3–3.5)

Tooele County, Utah

322

4.9

1.4

(2.2–7.6)

Utah County, Utah

655

4.7

0.9

(2.9–6.5)

Weber County, Utah

550

5.2

1.0

(3.3–7.1)

Chittenden County, Vermont

1,097

2.7

0.5

(1.8–3.6)

Franklin County, Vermont

332

6.2

1.4

(3.5–8.9)

Orange County, Vermont

283

2.9

1.1

(0.7–5.1)

Rutland County, Vermont

526

2.3

0.7

(1.0–3.6)

Washington County, Vermont

535

3.5

0.9

(1.8–5.2)

Windsor County, Vermont

554

3.5

0.8

(1.9–5.1)

Benton County, Washington

293

2.8

0.9

(1.1–4.5)

Clark County, Washington

854

3.7

0.6

(2.5–4.9)

Franklin County, Washington

172

3.7

1.6

(0.6–6.8)

King County, Washington

2,323

3.1

0.4

(2.4–3.8)

Kitsap County, Washington

733

3.7

0.7

(2.3–5.1)

Pierce County, Washington

1,285

4.2

0.6

(3.0–5.4)

Snohomish County, Washington

1,240

3.1

0.5

(2.1–4.1)

Spokane County, Washington

935

4.1

0.8

(2.6–5.6)

Thurston County, Washington

570

3.6

0.7

(2.2–5.0)

Yakima County, Washington

568

4.7

1.2

(2.4–7.0)

Kanawha County, West Virginia

406

7.5

1.4

(4.8–10.2)

Milwaukee County, Wisconsin

894

4.3

1.1

(2.2–6.4)

Laramie County, Wyoming

714

3.3

0.6

(2.1–4.5)

Natrona County, Wyoming

599

5.4

1.0

(3.4–7.4)

Median

4.3

Range

1.7-8.8

Abbreviations: SE = standard error; CI = confidence interval.

* Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10.


TABLE 70. Selected Healthy People 2010 objectives* and estimated prevalence ranges for selected indicators by state, metropolitan and micropolitan statistical area (MMSA), and county — Behavioral Risk Factor Surveillance System (BRFSS), United States, 2010

Objective No.

Objective

2010 target (%)

Prevalence range for states (%)

Prevalence range for MMSAs(%)

Prevalence range for counties§ (%)

1–1

Increase the proportion of persons with health insurance

100

69.4–95.7

45.7–97.0

45.7–97.2

3–11b

Increase the proportion of women aged ≥18 years who received a Papanicolaou (PAP) test within preceding 3 years

90

67.8–88.9

63.3–91.0

63.2–95.7

3–12

Increase the proportion of adults aged ≥50 years who receive a colorectal cancer screening examination

3–12a

Fecal Occult Blood Test within preceding 2 years

33**

8.5–27.0

6.7–51.3

6.8–57.2

3–12b

Sigmoidoscopy/colonoscopy†† in lifetime

50

37.8–75.7

37.3–79.9

37.3–82.5

3–13

Increase the proportion of women aged ≥40 years who received a mammogram during the preceding 2 years

70

63.8–83.6

60.3–86.2

59.3–89.7

14–29a

Increase the proportion of adults aged ≥65 years who are vaccinated against influenza

90

26.9–73.4

51.7–77.1

49.3–87.8

14–29b

Increase the proportion of adults aged ≥65 years who have ever been vaccinated against pneumococcal disease

90

24.7–74.0

48.6–79.9

47.6–83.1

19–2

Reduce the proportion of adults aged ≥20 years who are obese (BMI ≥30)

15

22.1–35.0

17.1–42.1

13.3–42.1

21–4

Reduce the proportion of older adults who have had all their natural teeth extracted§§

<22**

7.4–36.0

4.8–34.8

2.4–39.3

21–10

Increase the proportion of children and adults who use the oral health care system each year

56

57.2–81.7

47.1–83.5

47.1–88.2

27–1a

Reduce the proportion of adults aged ≥18 years who smoke cigarettes

12

5.8–26.8

5.8–28.5

5.9–29.8

Abbreviation: BMI = body mass index.

Source: US Department of Health and Human Services. Healthy People 2010: understanding and improving health. Washington, DC: US Department of Health and Human Services; 2000.

* Certain objective may differ slightly from BRFSS definitions. BRFSS prevalence estimates are not age adjusted.

Selected metropolitan and micropolitan statistical areas.

§ Selected counties within the MMSAs for which data were available.

Baseline measured insurance coverage among persons aged <65 years, Based on 1997 National Health Interview Survey (NHIS) data.

** Revised targets. Source: Atlanta, GA; US Department of Health and Human Services, CDC; 2010. Available at http://wonder.cdc.gov/data2010.

†† Revised subobjective to include protoscopy and colonoscopy as well as sigmoidoscopy. BRFSS measured sigmoidoscopy and colonoscopy.

§§ Baseline was 26 for adults aged 65–74 years who have had all their natural teeth extracted. Based on 1997 NHIS data. BRFSS data are for all adults aged ≥65 years.



Use of trade names and commercial sources is for identification only and does not imply endorsement by the U.S. Department of Health and Human Services.

References to non-CDC sites on the Internet are provided as a service to MMWR readers and do not constitute or imply endorsement of these organizations or their programs by CDC or the U.S. Department of Health and Human Services. CDC is not responsible for the content of pages found at these sites. URL addresses listed in MMWR were current as of the date of publication.


All MMWR HTML versions of articles are electronic conversions from typeset documents. This conversion might result in character translation or format errors in the HTML version. Users are referred to the electronic PDF version (http://www.cdc.gov/mmwr) and/or the original MMWR paper copy for printable versions of official text, figures, and tables. An original paper copy of this issue can be obtained from the Superintendent of Documents, U.S. Government Printing Office (GPO), Washington, DC 20402-9371; telephone: (202) 512-1800. Contact GPO for current prices.

**Questions or messages regarding errors in formatting should be addressed to mmwrq@cdc.gov.

 
USA.gov: The U.S. Government's Official Web PortalDepartment of Health and Human Services
Centers for Disease Control and Prevention   1600 Clifton Road Atlanta, GA 30329-4027, USA
800-CDC-INFO (800-232-4636) TTY: (888) 232-6348 - Contact CDC–INFO
A-Z Index
  1. A
  2. B
  3. C
  4. D
  5. E
  6. F
  7. G
  8. H
  9. I
  10. J
  11. K
  12. L
  13. M
  14. N
  15. O
  16. P
  17. Q
  18. R
  19. S
  20. T
  21. U
  22. V
  23. W
  24. X
  25. Y
  26. Z
  27. #