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Surveillance of Certain Health Behaviors and Conditions Among States and Selected Local Areas --- Behavioral Risk Factor Surveillance System, United States, 2007
Please note: An erratum has been published for this article. To view the erratum, please click here.
Abstract
Problem: Chronic diseases (e.g., heart disease, cancer, stroke, and diabetes) are the leading causes of death in the United States. Controlling health risk behaviors (e.g., smoking, physical inactivity, poor diet, and excessive drinking) and using preventive health-care services (e.g., cancer, hypertension, and cholesterol screenings) can reduce morbidity and mortality from chronic diseases. Monitoring health-risk behaviors, chronic health conditions, and preventive care practices is essential to develop health promotion activities, intervention programs, and health policies at the state, city, and county levels.
Reporting Period Covered: January 2007--December 2007
Description of the System: The Behavioral Risk Factor Surveillance System (BRFSS) is a state-based, on-going, random--digit-dialed household telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors and use of preventative health services related to the leading causes of death and disability in the United States. This report presents results for 2007 for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, Guam, the Virgin Islands, 184 metropolitan and micropolitan statistical areas (MMSAs), and 298 counties.
Results: In 2007, prevalence estimates of risk behaviors, chronic conditions, and the use of preventive services varied substantially by state and territory, MMSA, and county. The following is a summary of results listed by BRFSS question topic. Each set of proportions refers to the range of estimated prevalence for the disease, condition, or behavior, as reported by the survey subject. Adults who reported fair or poor health: 11% to 32% for states and territories and 6% to 31% for MMSAs and counties. Adults with health-care coverage: 71% to 94% for states and territories and 51% to 97% for MMSAs and counties. Annual influenza vaccination among adults aged ≥65 years: 32% to 80% for states and territories, 48% to 83% for MMSAs, and 44% to 88% for counties. Pneumococcal vaccination among adults aged ≥65 years: 26% to 74% for states and territories, 44% to 83% for MMSAs, and 39% to 87% for counties. Adults who had their cholesterol checked within the preceding 5 years: 66% to 85% for states and territories and 58% to 90% for MMSAs and counties. Adults who consumed at least 5 servings of fruits and vegetables per day: 14% to 33% for states and territories, 16% to 34% for MMSAs and 14% to 37% for counties. Adults who reported no leisure-time physical activity: 17% to 44% for states and territories and 9% to 38% for MMSAs and counties. Adults who engaged in moderate or vigorous physical activity: 31% to 61% for states and territories and 36% to 67% for MMSAs and counties. Adults who engaged in only vigorous physical activity: 19% to 40% for states and territories and 15% to 45% for MMSAs and counties. Cigarette smoking among adults: 9% to 31% for states and territories, 7% to 34% for MMSAs, and 7% to 30% for counties. Binge drinking among adults: 3% to 8% for states and territories. Adults classified as overweight: 33% to 40% for states and territories and 26% to 47% for MMSAs and counties. Adults aged ≥20 years who were obese: 20% to 34% for states and territories and 14% to 38% for MMSAs and counties. Adults who were told of a diabetes diagnosis: 5% to 13% for states and territories and 2% to 17% for MMSAs and counties. Adults with high blood pressure diagnosis: 21% to 35% for states and territories and 16% to 38% for MMSAs and counties. Adults who had high blood cholesterol: 28% to 43% for states and territories, 29% to 49% for MMSAs, and 26% to 51% for counties. Adults with a history of coronary heart disease: 2% to 14% for states and territories, MMSAs, and counties. Adults who were told of a stroke diagnosis: 1% to 7% for states and territories, MMSAs, and counties. Adults who were diagnosed with arthritis: 14% to 36% for states and territories and 16% to 40% for MMSAs and counties. Adults who had asthma: 5% to 10% for states and territories and 3% to 13% for MMSAs and counties. Adults with activity limitation associated with physical, mental, or emotional problems: 10% to 26% for states and territories. Adults who required special equipment because of health problems: 3% to 10% for states and territories and 3% to 14% for MMSAs and counties.
Interpretation: The findings in this report indicate substantial variation in self-reported health status, health-care coverage, use of preventive health-care services, health behaviors leading to chronic health conditions, and disability among U.S. adults at the state and territory, MMSA, and county levels. The findings underscore the continued need for surveillance of health-risk behaviors, chronic diseases and conditions, and the use of preventive services.
Public Health Actions: Healthy People 2010 (HP 2010) objectives have been established to monitor health behaviors and the use of preventive health services. Local and state health departments and federal agencies use BRFSS data to identify populations at high risk for certain health behaviors, chronic diseases and conditions and to evaluate the use of preventive services. In addition, BRFSS data are used to direct, implement, monitor, and evaluate public health programs and policies that can lead to a reduction in morbidity and mortality.
Introduction
Chronic diseases (e.g., heart disease, cancer, stroke and diabetes) are the leading causes of death (1) and disability in the United States (2). Engaging in healthy behaviors (e.g., reducing smoking, being more physically active, and eating a nutritious diet) and using preventive services (e.g., screening for blood pressure, blood cholesterol and cancer and receiving recommended vaccinations) can reduce morbidity and premature mortality from chronic diseases (3). The estimated prevalence of health behavior risk factors, chronic conditions, and use of preventive care services varies substantially across the United States. Ongoing surveillance is essential to identify groups at highest risk and to design and implement appropriate public health programs and policies.
BRFSS is a state-based, ongoing telephone survey of adults aged ≥18 years conducted by the state health departments with assistance from CDC. It is the largest continuously conducted telephone survey in the world with more than 350,000 adult interviews completed each year. Since 1984, BRFSS has been the main source for states on health-risk behaviors, chronic health conditions, and preventive health services primarily related to chronic disease and injury. BRFSS data are used to set health goals and to monitor progress and success of public health programs and policies at the national and state levels. Since 2002, the large sample size in BRFSS facilitated calculation of prevalence estimates for selected metropolitan and micropolitan statistical areas (MMSAs), metropolitan divisions, and selected counties. This report provides comparable prevalence estimates for selected risk behaviors, preventive services, and chronic conditions by states and territories, and MMSAs and counties.
HP 2010 sets forth a national agenda to prevent or delay diseases, decrease morbidity and mortality, and to improve healthy-related quality of life for all Americans (4). HP 2010 includes specific objectives to be achieved by 2010 for various modifiable risk factors and preventive services. These objectives can be used to monitor and develop health promotion and disease prevention programs at the state and local levels. This report contains comparisons between 2007 BRFSS data and certain HP 2010 objectives.
Methods
In 2007, BRFSS was conducted in all 50 states, the District of Columbia, Puerto Rico, Guam, and the U.S. Virgin Islands. BRFSS uses a multistage sampling design based on random-digit-dialing methods to select a representative sample from the noninstitutionalized adult population aged ≥18 years in each state and territory. Details on methodology, random sampling procedures, design, and reliability and validity of measures used in BRFSS have been described in previous publications (5,6).
Questionnaire
The standard BRFSS questionnaire consists of three parts: 1) core questions, 2) optional supplemental modules, which are sets of questions on specific topics (e.g., diabetes, healthy-related quality of life, arthritis management); and 3) state-added questions. All 50 states, the District of Columbia, and three territories ask the same core questions. Optional modules and state-added questions are included at their discretion. State-added questions address state-specific health-care concerns. The core questions address demographics, health status, number of healthy days, health-related quality of life, health-care access, exercise or leisure time physical activity, prevalence of diabetes, high blood pressure, cardiovascular diseases, cholesterol awareness, asthma, immunization including flu and pneumonia vaccination among older adults, hepatitis vaccination, tobacco/cigarette use, alcohol consumption, disabilities, arthritis burden, fruit and vegetable consumption, moderate and vigorous physical activity, human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), emotional support and life satisfaction, and gastrointestinal disease.
In 2007, the following optional modules were selected: diabetes (40 states), random child selection (33 states), childhood asthma prevalence (33 states), mental illness and stigma (26 states), cardiovascular health (20 states), actions to control high blood pressure (19 states), arthritis management (19 states), heart attack and stroke (13 states), women's health (nine states), adult asthma history (eight states), colorectal cancer screening (five states), visual impairment and access to eye care (five states), sexual violence (five states), general preparedness (three states), intimate partner violence (three states), prostate cancer screening (three states), symptoms of healthy days (one state), and reaction to race (one state).
This report focuses on 1) health status indicators (e.g., self-reported fair or poor health and health-care coverage), 2) preventive health-care practices (e.g., influenza and pneumococcal vaccinations for persons aged ≥65 years and cholesterol checking in the preceding 5 years), 3) health-risk behaviors (e.g., no or minimal daily fruit or vegetable consumption, no or minimal physical activity participation or leisure time, current cigarette smoking, and binge and heavy drinking), 4) chronic health conditions (e.g., obesity, diabetes, high blood pressure, high cholesterol, history of coronary heart disease including heart attack and angina, and history of stroke), and 5) other chronic conditions (e.g., arthritis, current asthma, activity limitation because of physical, mental, or emotional health problems, and use of special equipment [e.g., a cane, wheelchair, special bed, or special telephone] because of health problems). The 2007 and all other BRFSS questioners can be obtained from: http://www.cdc.gov/brfss/questionnaires/english.htm.
Data Collection and Processing
Trained interviewers administer the BRFSS questionnaire using a computer-assisted telephone interviewing system. Data are collected monthly by each state and territory. After the monthly interviewing cycle concludes, data are submitted to CDC for reliability checks and analyses preparation.
Data Weighting
At the end of the survey year, CDC edits and aggregates the monthly data files to create a yearly sample for each state. Each sample is weighted to the respondent's probability of selection and to the age- and sex-specific population or age-, sex-, and race-specific population using the 2007 census projections reported by the census bureau for each state. State-level weights are adjusted to produce MMSA- and county-level weights. These sampling weights are used to calculate BRFSS state and territory-, MMSA-, and county-level prevalence estimates. MMSAs used in this report were defined by the Office of Management and Budget in December 2006. Respondents were assigned to a particular MMSA based on their Federal Information Processing Standard (FIPS) county code. Aggregated data from states were used to produce national prevalence estimates. Detailed weighting and analytic methodologies have been documented elsewhere (5,7).
Statistical Analyses
SAS(r) and SUDAAN(r) (release 9.0.1; Research Triangle Institute, Research Triangle Park, North Carolina) were used in the analyses to account for the complex sampling design and to calculate prevalence estimates, standard errors, and 95% confidence intervals (CIs) (8,9). Statistics were not reported if the unweighted sample size for the denominator was <50 or the CI half width was >10. Only MMSAs with ≥500 respondents and ≥19 respondents in all the final weighting classes and counties within selected MMSAs were included. 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 analyses.
Results
This report presents results for 2007 from the 54 states and territories, 184 MMSAs, and 298 counties with an adequate sample size to produce stable prevalence estimates. In 2007, a total of 430,912 interviews were completed and ranged from 657 in Guam, to 39,549 in Florida (median: 6,564). This report presents prevalence of health status, access to health care, use of preventive health-care services, health behaviors, and selected chronic conditions.
According to the Council of American Survey and Research Organizations (CASRO) guidelines, the 2007 BRFSS CASRO cooperation rate (the proportion of all respondents interviewed of all eligible units in which a respondent was selected and actually contacted) ranged from 49.6% in New Jersey, to 84.6% in Minnesota (median: 72.1%) (7).
Health Indicators
Health Status
Respondents were asked to rate their general health as excellent, very good, good, fair, or poor. Respondents were classified into two groups: those who reported fair or poor health, and those who reported good, very good, or excellent health. In 2007, among adults aged ≥18 years, the estimated prevalence of self-reported fair or poor health ranged from 10.9% in Utah to 32.2% in Puerto Rico (median: 15.2%) (Table 1). Among 184 MMSAs, the estimated prevalence of self-reported fair or poor health among respondents ranged from 7.2% in Lincoln, Nebraska, to 31.2% in Huntington-Ashland, West Virginia-Kentucky-Ohio (median: 15.0%) (Table 2). Among 298 counties, the estimated prevalence of self-reported fair or poor health among respondents ranged from 5.7% in Davis County, Utah, to 30.6% in Webb County, Texas (median: 14.3%) (Table 3).
Health-Care Coverage
Health-care coverage was defined as respondents having reported that they had private health insurance, prepaid plans (e.g., health maintenance organizations) or government health plans (e.g., Medicare or Medicaid). In 2007, among adults aged ≥18 years, the estimated prevalence of health-care coverage ranged from 71.3% in the U.S. Virgin Islands to 94.0% in Hawaii (median: 85.6%) (Table 4). Among 184 MMSAs, the estimated prevalence ranged from 51.2% in McAllen-Edinburg-Mission, Texas, to 95.4% in Cambridge-Newton-Framingham, Massachusetts (median: 85.5%) (Table 5). Among selected counties, the estimated prevalence ranged from 51.2% in Hidalgo County, Texas, to 96.8% in Norfolk County, Massachusetts (median: 86.3%) (Table 6).
Preventive Practices
Influenza Vaccination
In 2007, among adults aged ≥65 years, the estimated prevalence of influenza vaccination during the preceding 12 months ranged from 32.2% in Puerto Rico to 80.0% in Rhode Island (median: 71.9%) (Table 7). Among selected MMSAs, the estimated prevalence ranged from 48.3% in Miami-Fort Lauderdale-Miami Beach, Florida, to 83.4% in Cambridge-Newton-Framingham, Massachusetts (median: 72.6%) (Table 8). Among selected counties, the estimated prevalence ranged from 43.8% in Miami-Dade County, Florida, to 88.2% in Orange County, North Carolina (median: 73.4%) (Table 9).
Pneumococcal Vaccination
In 2007, among adults aged ≥65 years, the estimated prevalence of pneumococcal vaccination ranged from 26.1% in Puerto Rico to 74.0% in Oregon (median: 67.2%) (Table 10). Among selected MMSAs, the estimated prevalence ranged from 43.7% in Miami-Fort Lauderdale-Miami Beach, Florida, to 82.8% in Bangor, Maine (median: 68.0%) (Table 11). Among selected counties, the estimated prevalence ranged from 38.6% in Miami-Dade County, Florida, to 86.7% in Douglas County, Colorado (median: 69.0%) (Table 12).
Blood Cholesterol Checked During Preceding 5 Years
In 2007, among adults aged ≥18 years, the estimated prevalence of having blood cholesterol checked during the preceding 5 years ranged from 65.9% in Utah to 85.0% in the District of Columbia (median: 74.9%) (Table 13). Among selected MMSAs, the estimated prevalence ranged from 57.6% in El Paso, Texas, to 89.8% in Barnstable Town, Massachusetts (median: 76.5%) (Table 14). Among selected counties, the estimated prevalence ranged from 57.6% in El Paso County, Texas, to 89.9% in Norfolk County, Massachusetts, and 89.9% in Gaston County, North Carolina (median: 78.1%) (Table 15).
Nutrition
In 2007, among adults aged ≥18 years, the estimated prevalence of consuming at least 5 servings of fruits or vegetables per day ranged from 13.7% in Puerto Rico to 32.5% in the District of Columbia (median: 24.3%) (Table 16). Among selected MMSAs, the estimated prevalence ranged from 16.2% in Huntington-Ashland, West Virginia-Kentucky-Ohio, to 34.0% in Kapaa, Hawaii (median: 24.6%) (Table 17). Among selected counties, the estimated prevalence ranged from 13.7% in Wyandotte County, Kansas, to 37.4% in Arlington County, Virginia (median: 24.7%) (Table 18).
Physical Activity
Leisure-time physical activity was defined as participating in exercise (e.g., running, calisthenics, golf, gardening, or brisk walking) other than as part of the respondent's regular work during the preceding month. In 2007, among adults aged ≥18 years, the estimated prevalence of no leisure-time physical activity by state and territory ranged from 16.7% in Minnesota to 43.7% in Puerto Rico (median: 23.0%) (Table 19). Among the selected MMSAs, the estimated prevalence ranged from 8.8% in Boulder, Colorado, to 37.5% in Clewiston, Florida (median: 22.4%) (Table 20). Among counties, the estimated prevalence ranged from 8.6% in Douglas County, Colorado, to 37.5% in Hendry County, Florida (median: 22.3%) (Table 21).
Moderate or vigorous physical activity was defined as participating in moderate exercise (e.g., brisk walking, bicycling, vacuuming, gardening, or anything else that causes a small increase in breathing and heart rate on at least 5 days per week for at least 30 minutes each day) or vigorous exercise (e.g., running, aerobics, heavy yard work, or anything else that causes a large increase in breathing and heart rate on 3 or more days per week for at least 20 minutes each day) other than the respondent's regular work in a usual week. In 2007, among adults by state and territory, the estimated prevalence of moderate or vigorous physical activity ranged from 30.9% in Puerto Rico, to 60.8% in Alaska (median: 49.2%) (Table 22). Among the selected MMSAs, the estimated prevalence ranged from 37.3% in Chattanooga, Tennessee-Georgia, to 67.1% in Boulder, Colorado (median: 50.3%) (Table 23). Among counties, the estimated prevalence of moderate physical activity ranged from 35.9% in Hamilton County, Tennessee, to 67.1% in Boulder County, Colorado (median: 50.0%) (Table 24).
Vigorous physical activity was defined as participating in exercise (e.g., running, aerobics, heavy yard work, or anything else that causes a large increase in breathing and heart rate on 3 or more days per week for at least 20 minutes each day) other than the respondent's regular work in a usual week. In 2007, among adults by state and territory, the estimated prevalence of vigorous physical activity ranged from 18.5% in Tennessee, to 39.5% in Alaska (median: 28.1%) (Table 25). Among the selected MMSAs, the estimated prevalence ranged from 15.4% in Charleston, West Virginia, to 44.1% in Provo-Orem, Utah (median: 28.1%) (Table 26). Among counties, the estimated prevalence of vigorous physical activity ranged from 15.0% in Sullivan County, Tennessee, to 44.5% in Utah County, Utah (median: 28.4%) (Table 27).
Health Risk Behaviors
Current Cigarette Smoking
Respondents were categorized as current smokers if they reported having smoked at least 100 cigarettes during their lifetime and indicated that they smoked every day or occasionally at the time of the survey. In 2007, among adults aged ≥18 years, the estimated prevalence of current smokers ranged from 8.7% in the U.S. Virgin Islands to 31.0% in Guam (median: 19.7%) (Table 28). Among selected MMSAs, the estimated prevalence ranged from 6.5% in Provo-Orem, Utah, to 34.4% in Huntington-Ashland, West Virginia-Kentucky-Ohio (median: 19.7%) (Table 29). Among selected counties, the estimated prevalence ranged from 6.5% in Utah County, Utah, to 29.7% in Pasco County, Florida (median: 19.0%) (Table 30).
Alcohol Consumption
Binge Drinking
Binge drinking was defined as adult males having five or more drinks, and adult females having four or more drinks on at least one occasion during the last 30 days. In 2007, among adults aged ≥18 years, the estimated prevalence of binge drinking ranged from 8.2% in Kentucky to 23.4% in Wisconsin (median: 15.7%) (Table 31). Among selected MMSAs, the estimated prevalence of binge drinking ranged from 4.3% in Provo-Orem, Utah, to 21.4% in Milwaukee-Waukesha-West Allis, Wisconsin (median: 15.7%) (Table 32). Among selected counties, the estimated prevalence ranged from 4.3% in Utah County, Utah, to 25.6% in Arlington County, Virginia (median: 15.6%) (Table 33).
Heavy Drinking
Heavy drinking was defined as adult males having more than two drinks, and adult females having more than one drink per day during the last 30 days. In 2007, among adults aged ≥18 years, the estimated prevalence of heavy drinking ranged from 2.5% in Utah to 7.7% in Hawaii (median: 5.2%) (Table 34). Among selected MMSAs, the estimated prevalence of heavy drinking ranged from 2.1% in Idaho Falls, Idaho and Wauchula, Florida, to 11.0% in Key West-Marathon, Florida (median: 5.3%) (Table 35). Among selected counties, the estimated prevalence ranged from 1.2% in Davis County, Utah, to 11.6% in St. Johns County, Florida (median: 5.5%) (Table 36).
Chronic Health Conditions
Overweight
Self-reported weight and height were used to calculate body mass index (BMI) (weight [kg]/height [m2]). Respondents were categorized as being overweight if they had a BMI of ≥25.0 and <30.0. In 2007, among adults aged ≥18 years, the estimated prevalence of overweight ranged from 33.1% in the District of Columbia to 40.4% in Kentucky (median: 36.7%) (Table 37). Among selected MMSAs, the estimated prevalence ranged from 29.2% in Okeechobee, Florida, to 47.2% in Yuma, Arizona (median: 36.9%) (Table 38). Among selected counties, the estimated prevalence ranged from 26.3% in Montgomery County, Alabama, to 47.3% in Sarpy County, Nebraska (median: 36.7%) (Table 39).
Obesity
Respondents were categorized as obese if their BMI was ≥30.0. Obesity analyses were restricted to adults aged ≥20 years to permit comparison with HP 2010. In 2007, among adults aged ≥20 years, the estimated prevalence of obesity ranged from 19.9% in Colorado to 33.5% in Mississippi (median: 26.8%) (Table 40). Among selected MMSAs, the estimated prevalence ranged from 14.8% in West Palm Beach-Boca Raton-Boynton Beach, Florida, to 37.6% in McAllen-Edinburg-Mission, Texas (median: 26.6%) (Table 41). Among selected counties, the estimated prevalence ranged from 13.8% in New York County, New York, to 37.6% in Hidalgo County, Texas (median: 26.0%) (Table 42).
Diabetes
The prevalence of diagnosed diabetes was assessed by asking respondents, "Have you ever been told by a doctor that you have diabetes?" Those who reported "yes" were considered to have diabetes. Specific types of diabetes (e.g., Type 1 or Type 2) were not assessed. Adults reporting gestational, borderline, or pre-diabetes were not considered diabetic for these analyses. In 2007, among adults aged ≥18 years, the estimated prevalence of diagnosed diabetes ranged from 5.3% in Colorado to 12.5% in Puerto Rico (median: 8.1%) (Table 43). Among selected MMSAs, the estimated prevalence ranged from 2.2% in Boulder, Colorado, to 16.5% in Laredo, Texas (median: 8.4%) (Table 44). Among selected counties, the estimated prevalence ranged from 1.8% in Douglas County, Colorado, to 16.5% in Webb County, Texas (median: 8.1%) (Table 45).
High Blood Pressure
Prevalence of high blood pressure (HBP) was assessed by asking respondents aged ≥20 years, "Have you ever been told by a doctor, nurse, or other health professional that you have high blood pressure?" Adults who reported pre-hypertension or borderline high blood pressure, and females who reported high blood pressure during pregnancy, were not considered hypertensive for these analyses. In 2007, among adults, the estimated prevalence of HBP ranged from 20.9% in Utah to 35.1% in Mississippi (median: 28.3%) (Table 46). Among selected MMSAs, the estimated prevalence ranged from 16.5% in Boulder, Colorado, to 38.1% in Seaford, Delaware (median: 27.8%) (Table 47). Among selected counties, the estimated prevalence ranged from 15.9% in Douglas County, Colorado, to 38.1% in Sussex County, Delaware (median: 27.4%) (Table 48).
High Blood Cholesterol
Respondents aged ≥20 years were categorized as having high blood cholesterol if they ever had their blood cholesterol checked and were told by a doctor, nurse, or other health-care professional that their blood cholesterol was high. In 2007, among adults aged ≥18 years, the estimated prevalence of high blood cholesterol ranged from 27.9% in Guam to 43.2% in West Virginia (median: 37.8%) (Table 49). Among selected MMSAs, the estimated prevalence of high blood cholesterol ranged from 29.1% in Gainesville, Florida, to 48.5% in Seaford, Delaware (median: 37.6%) (Table 50). Among selected counties, the estimated prevalence ranged from 26.1% in Davidson County, Tennessee, to 50.7% in Gloucester County, New Jersey (median: 37.4%) (Table 51).
Coronary Heart Disease
Respondents aged ≥18 years were categorized as having coronary heart disease (CHD) if they reported having ever been told by a doctor, nurse, or other health professionals that they had CHD, angina, or a heart attack. In 2007, among adults aged ≥18 years, the estimated prevalence of CHD ranged from 2.8% in the U.S. Virgin Islands, to 10.7% in West Virginia (median: 6.4%) (Table 52). Among selected MMSAs, the estimated prevalence ranged from 2.7% in Boulder, Colorado, to 13.5% in Homosassa Springs, Florida (median: 6.3%) (Table 53). Among selected counties, the estimated prevalence ranged from 2.0% in Arlington County, Virginia, to 13.5% in Citrus County, Florida (median: 6.0%) (Table 54).
Stroke
Respondents aged ≥18 years were categorized as having a history of stroke if they reported having ever been told by a doctor, nurse, or other health professionals that they had a stroke. In 2007, among adults aged ≥18 years, the estimated prevalence of stroke ranged from 1.1% in the U.S. Virgin Islands to 3.7% in Missouri (median: 2.6%) (Table 55). Among selected MMSAs, the estimated prevalence of stroke ranged from 0.7% in Nogales, Arizona, to 6.5% in Mobile, Alabama (median: 2.5%) (Table 56). Among selected counties, the estimated prevalence ranged from 0.7% in Santa Cruz County, Arizona, to 6.5% in Mobile County, Alabama (median: 2.4%) (Table 57).
Arthritis
Respondents aged ≥18 years were categorized as having arthritis if they reported having ever been told by a doctor that they have some form of arthritis. Arthritis diagnoses included rheumatism, polymyalgia rheumatica; osteoarthritis (not osteoporosis); tendonitis, bursitis, bunion, tennis elbow; carpal tunnel syndrome, tarsal tunnel syndrome; joint infection, Reiter's syndrome; ankylosing spondylitis; spondylosis; rotator cuff syndrome; connective tissue disease; scleroderma; polymyositis, Raynaud's syndrome or vasculitis (giant cell arteritis, Henoch-Schonlein purpura, Wegener's granulomatosis, polyarteritis nodosa). In 2007, among adults aged ≥18 years, the estimated prevalence of arthritis ranged from 13.7% in Guam to 35.5% in West Virginia (median: 27.5%) (Table 58). Among selected MMSAs, the estimated prevalence of arthritis ranged from 16.3% in Laredo, Texas, to 40.3% in Huntington-Ashland, West Virginia-Kentucky-Ohio (median: 27.1%) (Table 59). Among selected counties, the estimated prevalence ranged from 16.3% in Webb County, Texas, to 40.1% in Fayette County, Pennsylvania (median: 26.1%) (Table 60).
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 2007, among adults aged ≥18 years, the estimated prevalence of current asthma ranged from 5.4% in the U.S. Virgin Islands to 10.3% in Maine (median: 8.3%) (Table 61). Among selected MMSAs, the estimated prevalence of current asthma ranged from 3.6% in Brownsville-Harlingen, Texas, and 3.6% in Cape Coral-Fort Myers, Florida, to 13.2% in Bangor, Maine (median: 8.1%) (Table 62). Among selected counties, the estimated prevalence ranged from 3.4% in Nassau County, New York, to 13.2% in Penobscot County, Maine, and 13.2% in Westchester County, New York (median: 8.0%) (Table 63).
Disability or Health Impairment
Activity Limitation
Respondents aged ≥18 years were categorized as having activity limitation if they reported any limitation of activities because of physical, mental, or emotional problems. In 2007, among adults aged ≥18 years, the estimated prevalence of limitations in activities because of physical, mental, or emotional problems ranged from 10.3% in the U.S. Virgin Islands to 25.9% in West Virginia (median: 18.8%) (Table 64). Among selected MMSAs, the estimated prevalence ranged from 13.0% in Nogales, Arizona, to 32.3% in Huntington-Ashland, West Virginia-Kentucky-Ohio (median: 18.7%) (Table 65). Among selected counties, the estimated prevalence ranged from 9.4% in DuPage County, Illinois, to 31.4% in Mobile County, Alabama (median: 18.3%) (Table 66).
Special Equipment Requirement
Respondents aged ≥18 years were categorized as using special equipment because of a health problem if they used a cane, wheelchair, special bed, or special telephone occasionally or in certain circumstances. In 2007, among adults aged ≥18 years, the estimated prevalence who reported requiring special equipment because of a health problem ranged from 3.1% in the U.S. Virgin Islands to 9.5% in Alabama (median: 7.1%) (Table 67). Among selected MMSAs, the estimated prevalence ranged from 3.0% in Fargo, North Dakota-Minnesota, to 14.4% in Mobile, Alabama (median: 6.4%) (Table 68). Among selected counties, the estimated prevalence ranged from 2.7% in Alexandria City, Virginia, to 14.4% in Mobile County, Alabama (median: 6.4%) (Table 69).
Discussion
The findings in this report indicate wide variations in the estimated prevalence of health-risk behaviors, chronic diseases, and use of preventative health practices and services among U.S. adults at the state and territory, MMSA, and county levels. These variations might reflect differences in the demographic factors of respondents, including age, race, and sex distribution of the population; socioeconomic conditions including education level attained, income level and employment status; state laws and local ordinances; availability and access to health-care services; use of preventive health-care services; and patterns of reimbursement for preventive services. The results provided in this report were estimated on the basis of survey results and might differ from those derived by other methods.
The HP 2010 objectives established goals for certain health behaviors to be attained by 2010 (4). The data presented in this report can be compared with the goals of HP 2010 (Table 70). Some findings indicate that certain HP 2010 goals have not been attained. For example, in 2007, no state and territory, MMSA, or county achieved the HP 2010 goals for health-care coverage, vaccination against influenza or pneumococcal disease, high blood pressure, or high blood cholesterol.
Health Indicators
Although measured by a single question, self-reported health status encompasses physical health, mental health, and functional capacity of persons (10). It is a proxy indicator for perceived burden of acute and chronic health conditions (11). Large variations in fair or poor health at the state and local level suggest differences in the underlying burden of chronic diseases, health-care coverage, and health behaviors among states and territories, MMSAs, and counties.
The HP 2010 objective for health-care coverage is 100% (4). Lack of health-care coverage might have an adverse impact on health because it is associated with access to and use of preventive health-care services that include blood pressure, cholesterol, and cancer screenings (e.g., mammography, and Pap test) (12). In 2007, no state and territory, MMSA, or county achieved the HP 2010 objective of 100% health-care coverage.
Preventive Practices
The risks for complications, hospitalizations, and deaths from influenza and pneumonia are highest among persons aged ≥65 years (13,14). Influenza and pneumonia vaccination among older adults (aged ≥65) is a key public health strategy in the United States (15). The HP 2010 target for adults aged ≥65 who had annual influenza vaccination is 90% and the HP 2010 target for adults aged ≥65 who had annual vaccination against pneumococcal disease is 90% (4). In 2007, no state and territory or county met the HP 2010 target of 90% (4). The reasons for inadequate coverage include lack of knowledge, misconceptions about vaccines and vaccine-associated illness, and lack of recommendations by physicians (16,17). The strategies offered by the Task Force on Community Preventive Services to improve immunization among adults can be employed at the state and local levels (18).
Health-Risk Behaviors
Substituting fruits and vegetables for higher-calorie foods can help maintain healthy weight and reduce the risk for chronic diseases and certain cancers (19,20). The Dietary Guidelines for Americans, released in January 2005 (20), changed fruit and vegetable recommendations for all Americans from 5 to 9 servings per day to 5 to 13 servings per day. BRFSS still uses 5 servings as a measure of fruit or vegetable daily consumption. In 2007, the prevalence of 5 servings of fruit and vegetable daily consumption ranged from 14% to 33%, indicating a need to increase public awareness of the overall benefits of fruits and vegetables. In addition, sustained and effective public health efforts are needed to promote the importance of to eating more fruits and vegetables (21).
One of the HP 2010 goals is to increase prevalence of moderate physical activity to 50% and vigorous physical activity to 30% (4). Despite the proven benefit of physical activity (22), prevalence of moderate and vigorous physical activity is still low. In 2007, approximately 50% of states and territories, MMSAs, and counties had not met the HP 2010 goal for physical activity. Recommended strategies to increase physical activity include communitywide campaigns, signage to encourage stair use near elevators and escalators, individually adapted health-behavior change programs, school physical education, social support interventions in community settings, and the creation of or enhanced access to places for physical activity combined with informational outreach activities (23). According to the 2008 Physical Activity Guidelines for Americans, in addition to conducting muscle strengthening activities on 2 or more days a week that work all major muscle groups (legs, hips, back, abdomen, chest, shoulders, and arms), adults should do at least 2 hours and 30 minutes of moderate aerobic exercise (i.e., brisk walking) every week or 1 hour and 15 minutes of vigorous aerobic exercise (i.e., jogging or running) every week (24).
Cigarette smoking is the single most preventable cause of morbidity and mortality in the United States (25). Smoking causes many types of cancer, cardiovascular and pulmonary diseases (25). Health consequences of secondhand smoke include pediatric respiratory problems, cardiovascular disease, and lung cancer in adults (26). Only two states, five MMSAs, and 22 counties met the HP 2010 target for smoking (12%) (4). These results indicate a need for continued implementation of comprehensive tobacco-control programs at the state and local levels (27).
Excessive alcohol consumption is a leading preventable cause of death in the United States (28). Binge and heavy drinking can lead to risky sexual activity, unintentional injuries, falls, violence, and suicide (29,30). The HP 2010 target is to reduce binge drinking to 13.4% (4). Only 15 states met the national target for binge drinking. The estimated prevalence for heavy drinking ranged from 1.2% in Davis County, Utah, to 11.6% in St. Johns County, Florida. It is necessary to initiate and strengthen population-based prevention efforts to reduce binge and heavy drinking.
Chronic Health Conditions
Chronic health conditions are also the targets of national health goals (4). Overweight and obesity continues to be a critical public health problem (31,32). In 2007, the estimated prevalence of overweight among states and territories ranged from 33% to 40% and obesity (aged ≥20) ranged from 20% to 34%. The HP 2010 target is to reduce the proportion of adults (aged ≥20) who are obese to 15%. No state or territory, only three MMSAs, and four counties met the HP 2010 target of obesity. Moreover, the estimated prevalence of obesity for counties during 2007 (14% to 38%) did not change substantially from 2006 (10% to 37%) and 2005 (15% to 33%). Extensive public health programs that target healthy life styles are necessary to control overweight and obesity at the state and local levels (33).
Persons with diabetes are more likely to develop cardiovascular disease, high blood pressure, high cholesterol, and complications during pregnancy (34). These diseases and conditions can be prevented by controlling blood glucose through healthy eating, physical activity, medication and receiving proper preventive services (34). The estimated prevalence of diabetes among persons aged ≥18 ranged from 5% to 13% among states and territories.
Heart disease and stroke are the first and third leading causes of death, respectively, in the United States (35). High blood pressure and high blood cholesterol are important modifiable risk factors for cardiovascular disease (36). High blood pressure and high cholesterol are relatively easy to monitor and should be maintained at an optimal level (37,38). In 2007, no state and territory, MMSA, or county met the HP 2010 target for reducing the proportion of adults with high blood pressure (14%) and the proportion of adults with high blood cholesterol (17%). The findings in this report indicate a need for more public health efforts to reduce high blood pressure and high blood cholesterol. Population-level approaches to prevent or control high blood pressure include engaging in moderate physical activity; maintaining normal body weight; limiting consumption of alcohol; reducing intake of sodium; maintaining adequate intake of potassium; and consuming a diet rich in fruits, vegetables, and low-fat dairy products (39). Strategies suggested by National High Blood Pressure Education Program (38) and National Cholesterol Education Program (37) can be applied at the state and local levels to help reduce high blood pressure and high blood cholesterol.
Asthma is a major cause of morbidity in the United States (40). However, most asthma symptoms can be prevented with appropriate medication, medical care, and self-management. Guidelines to control asthma are provided by the National Asthma Education and Prevention Program (41). In 2007, the estimated current asthma prevalence among persons aged ≥18 years ranged from 3.4% in Nassau County, New York to 13.2% in Penobscot County, Maine and Westchester County, New York.
Arthritis continued to be the most common cause of disability (42) in the United States. In 2007, the estimated prevalence for arthritis ranged from 5% to 10% for states and territories, and from 3% to 13% for MMSAs and counties. Strategies to reduce the burden of arthritis among persons include being more physically active, controlling weight, and learning self-management techniques (e.g., those developed by Arthritis Foundation Self-Help Program or Chronic Disease Self-Management Program) (43).
Disability or Health Impairment
Disabilities or health impairment caused by limitation in activities because of physical, mental, or emotional problems severely affect quality of life (44). Persons with disability are less likely to use preventive health services, to have lower health-care costs, to participate in health behaviors (e.g., physical activity, smoking), and are more likely to have higher rates of chronic conditions (e.g., diabetes, obesity, hypertension) compared with persons without disability (45). In 2007, the estimated prevalence of special equipment usage (e.g., a cane, wheelchair, special bed or special telephone) because of any health problem ranged from 3% to 10% for states and territories and from 3% to 14% for MMSAs and counties. As the population ages and the prevalence of disabilities increases, it is essential to continue disability surveillance in the United States.
Limitations
The findings in this report are subject to at least four limitations. First, changes in telecommunication use (e.g., increases in the number of cell-phone only households and telephone number portability) continue to decrease the response rate to BRFSS. CDC has conducted research to evaluate 1) multiple mode data collection including address-based sampling frames and mail surveys, 2) online translations to reach households that speak a language other than English and Spanish, and 3) advance letters distribution. In 2008, BRFSS conducted a cell phone pilot study in 21 states to assess how BRFSS could access persons who had cell phones but no landline, and to produce samples that better represent the population. In 2009, all states plan to incorporate cell phone-only household surveys along with landline surveys.
Second, BRFSS does not collect information from persons in institutions, nursing homes, long-term--care facilities, and correctional institutions. Third, BRFSS data are self-reported and are subject to recall bias and social desirability effects. Finally, estimates for some health indicators could not be obtained for all MMSAs and counties, and as a result these MMSAs and counties were not ranked on these health indicators. Despite these limitations, BRFSS is cost-effective and a timely survey that provides reliable and valid estimates (6,46) of health-risk behaviors, chronic diseases, and conditions and use of preventive services for states and local jurisdictions. BRFSS data are often the only data source of information available to communities to assess local health conditions and to evaluate effectiveness of interventions.
Conclusion
The results in this report indicate a need to continue to monitor health-risk behaviors, chronic conditions and use preventive health services at state and local levels. Results from BRFSS are used to identify emerging health problems, to support health-related legislative efforts, to develop and evaluate public health policies and programs, and to monitor progress toward achieving HP 2010 objectives.
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TABLE 2. (Continued) Estimated prevalence of adults aged ≥18 years who reported fair or poor health, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Grand Island, Nebraska |
566 |
16.4 |
1.7 |
(13.0--19.7) |
Grand Rapids-Wyoming, Michigan |
507 |
10.9 |
1.4 |
(8.1--13.6) |
Greeley, Colorado |
536 |
13.9 |
1.8 |
(10.3--17.4) |
Greensboro-High Point, North Carolina |
826 |
17.0 |
1.7 |
(13.6--20.3) |
Greenville, South Carolina |
885 |
16.1 |
1.6 |
(12.9--19.2) |
Gulfport-Biloxi, Mississippi |
502 |
18.6 |
2.0 |
(14.6--22.5) |
Hagerstown-Martinsburg, Maryland-West Virginia |
707 |
16.1 |
1.7 |
(12.7--19.4) |
Hartford-West Hartford-East Hartford, Connecticut |
2,358 |
11.0 |
0.9 |
(9.2--12.7) |
Hickory-Morganton-Lenoir, North Carolina |
864 |
21.7 |
1.9 |
(17.9--25.4) |
Hilo, Hawaii |
1,519 |
17.5 |
1.2 |
(15.1--19.8) |
Hilton Head Island-Beaufort, South Carolina |
940 |
10.5 |
1.3 |
(7.9--13.0) |
Homosassa Springs, Florida |
576 |
19.0 |
2.2 |
(14.6--23.3) |
Honolulu, Hawaii |
2,918 |
14.0 |
0.8 |
(12.4--15.5) |
Houston-Sugar Land-Baytown, Texas |
1,551 |
18.3 |
1.5 |
(15.3--21.2) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
600 |
31.2 |
2.7 |
(25.9--36.4) |
Idaho Falls, Idaho |
505 |
15.1 |
2.0 |
(11.1--19.0) |
Indianapolis-Carmel, Indiana |
1,577 |
13.7 |
1.2 |
(11.3--16.0) |
Jackson, Mississippi |
1,159 |
17.2 |
1.3 |
(14.6--19.7) |
Jacksonville, Florida |
4,004 |
15.6 |
0.8 |
(14.0--17.1) |
Kahului-Wailuku, Hawaii |
1,510 |
14.3 |
1.3 |
(11.7--16.8) |
Kalispell, Montana |
552 |
15.1 |
1.9 |
(11.3--18.8) |
Kansas City, Missouri-Kansas |
3,360 |
13.1 |
0.8 |
(11.5--14.6) |
Kapaa, Hawaii |
650 |
15.7 |
1.9 |
(11.9--19.4) |
Kennewick-Richland-Pasco, Washington |
681 |
14.2 |
1.6 |
(11.0--17.3) |
Key West-Marathon, Florida |
504 |
18.4 |
4.8 |
(8.9--27.8) |
Kingsport-Bristol, Tennessee-Virginia |
593 |
22.7 |
2.2 |
(18.3--27.0) |
Lake Charles, Louisiana |
537 |
16.2 |
1.8 |
(12.6--19.7) |
Lake City, Florida |
588 |
19.1 |
2.3 |
(14.5--23.6) |
Lakeland-Winter Haven, Florida |
521 |
19.0 |
1.9 |
(15.2--22.7) |
Laredo, Texas |
506 |
30.6 |
3.0 |
(24.7--36.4) |
Las Cruces, New Mexico |
713 |
20.1 |
1.8 |
(16.5--23.6) |
Las Vegas-Paradise, Nevada |
1,367 |
17.5 |
1.2 |
(15.1--19.8) |
Lebanon, New Hampshire-Vermont |
1,610 |
11.8 |
1.0 |
(9.8--13.7) |
Lewiston, Idaho-Washington |
521 |
19.9 |
2.0 |
(15.9--23.8) |
Lincoln, Nebraska |
712 |
7.2 |
1.0 |
(5.2--9.1) |
Little Rock-North Little Rock, Arkansas |
1,248 |
16.0 |
1.3 |
(13.4--18.5) |
Los Angeles-Long Beach-Glendale, California§ |
869 |
22.2 |
1.9 |
(18.4--25.9) |
Louisville, Kentucky-Indiana |
863 |
17.1 |
1.5 |
(14.1--20.0) |
Manchester-Nashua, New Hampshire |
1,436 |
12.2 |
1.0 |
(10.2--14.1) |
McAllen-Edinburg-Mission, Texas |
948 |
29.1 |
2.0 |
(25.1--33.0) |
Memphis, Tennessee-Mississippi-Arkansas |
987 |
14.4 |
1.5 |
(11.4--17.3) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,171 |
18.5 |
1.4 |
(15.7--21.2) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,542 |
11.7 |
1.2 |
(9.3--14.0) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,744 |
10.6 |
0.7 |
(9.2--11.9) |
Mobile, Alabama |
582 |
28.1 |
2.7 |
(22.8--33.3) |
Montgomery, Alabama |
514 |
19.5 |
2.3 |
(14.9--24.0) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
910 |
15.6 |
1.5 |
(12.6--18.5) |
Naples-Marco Island, Florida |
816 |
15.4 |
1.7 |
(12.0--18.7) |
Nashville-Davidson-Murfreesboro, Tennessee |
610 |
15.8 |
2.0 |
(11.8--19.7) |
Nassau-Suffolk, New York§ |
813 |
10.2 |
1.2 |
(7.8--12.5) |
Newark-Union, New Jersey-Pennsylvania§ |
1,989 |
15.6 |
1.2 |
(13.2--17.9) |
New Haven-Milford, Connecticut |
1,790 |
12.7 |
1.0 |
(10.7--14.6) |
New Orleans-Metairie-Kenner, Louisiana |
1,240 |
17.7 |
1.4 |
(14.9--20.4) |
New York-White Plains-Wayne, New York-New Jersey§ |
3,392 |
19.4 |
1.0 |
(17.4--21.3) |
Nogales, Arizona |
519 |
19.6 |
3.5 |
(12.7--26.4) |
Norwich-New London, Connecticut |
499 |
13.8 |
2.1 |
(9.6--17.9) |
Ocala, Florida |
629 |
19.5 |
2.0 |
(15.5--23.4) |
Ogden-Clearfield, Utah |
840 |
8.3 |
1.0 |
(6.3--10.2) |
Okeechobee, Florida |
726 |
24.8 |
2.5 |
(19.9--29.7) |
Oklahoma City, Oklahoma |
2,278 |
17.2 |
0.9 |
(15.4--18.9) |
Olympia, Washington |
1,878 |
12.0 |
0.8 |
(10.4--13.5) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,546 |
11.9 |
1.2 |
(9.5--14.2) |
Orlando-Kissimmee, Florida |
2,692 |
17.6 |
1.3 |
(15.0--20.1) |
Palm Bay-Melbourne-Titusville, Florida |
556 |
17.3 |
2.0 |
(13.3--21.2) |
Palm Coast, Florida |
536 |
13.9 |
1.9 |
(10.1--17.6) |
TABLE 2. (Continued) Estimated prevalence of adults aged ≥18 years who reported fair or poor health, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Panama City-Lynn Haven, Florida |
546 |
19.8 |
2.5 |
(14.9--24.7) |
Pensacola-Ferry Pass-Brent, Florida |
1,028 |
15.8 |
1.3 |
(13.2--18.3) |
Philadelphia, Pennsylvania§ |
2,873 |
13.9 |
1.0 |
(11.9--15.8) |
Phoenix-Mesa-Scottsdale, Arizona |
1,283 |
17.2 |
1.8 |
(13.6--20.7) |
Pittsburgh, Pennsylvania |
2,959 |
14.9 |
1.2 |
(12.5--17.2) |
Portland-South Portland-Biddeford, Maine |
2,100 |
11.2 |
0.8 |
(9.6--12.7) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,972 |
12.5 |
0.7 |
(11.1--13.8) |
Port St. Lucie-Fort Pierce, Florida |
1,078 |
17.0 |
1.5 |
(14.0--19.9) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,062 |
14.6 |
0.6 |
(13.4--15.7) |
Provo-Orem, Utah |
583 |
8.9 |
1.4 |
(6.1--11.6) |
Raleigh-Cary, North Carolina |
1,086 |
13.5 |
1.6 |
(10.3--16.6) |
Rapid City, South Dakota |
979 |
11.1 |
1.2 |
(8.7--13.4) |
Reno-Sparks, Nevada |
1,401 |
15.0 |
1.2 |
(12.6--17.3) |
Richmond, Virginia |
855 |
15.0 |
1.6 |
(11.8--18.1) |
Riverside-San Bernardino-Ontario, California |
684 |
17.0 |
2.0 |
(13.0--20.9) |
Riverton, Wyoming |
503 |
15.4 |
1.8 |
(11.8--18.9) |
Rockingham County-Strafford County, New Hampshire§ |
1,612 |
12.9 |
1.0 |
(10.9--14.8) |
Rutland, Vermont |
684 |
12.7 |
1.5 |
(9.7--15.6) |
St. Louis, Missouri-Illinois |
1,571 |
15.5 |
1.2 |
(13.1--17.8) |
Salt Lake City, Utah |
2,145 |
11.4 |
0.9 |
(9.6--13.1) |
San Antonio, Texas |
1,412 |
17.4 |
1.3 |
(14.8--19.9) |
San Diego-Carlsbad-San Marcos, California |
512 |
13.9 |
2.1 |
(9.7--18.0) |
San Francisco-Oakland-Fremont, California |
780 |
12.7 |
1.5 |
(9.7--15.6) |
Santa Fe, New Mexico |
524 |
14.8 |
2.1 |
(10.6--18.9) |
Sarasota-Bradenton-Venice, Florida |
1,331 |
14.8 |
1.5 |
(11.8--17.7) |
Scranton-Wilkes-Barre, Pennsylvania |
2,522 |
15.1 |
1.4 |
(12.3--17.8) |
Seaford, Delaware |
1,236 |
16.6 |
1.2 |
(14.2--18.9) |
Seattle-Bellevue-Everett, Washington§ |
7,174 |
11.6 |
0.5 |
(10.6--12.5) |
Sebring, Florida |
764 |
20.1 |
2.6 |
(15.0--25.1) |
Sioux City, Iowa-Nebraska-South Dakota |
889 |
16.1 |
2.4 |
(11.3--20.8) |
Sioux Falls, South Dakota |
978 |
9.1 |
1.0 |
(7.1--11.0) |
Spokane, Washington |
1,373 |
12.9 |
1.1 |
(10.7--15.0) |
Springfield, Massachusetts |
2,558 |
12.2 |
0.8 |
(10.6--13.7) |
Tacoma, Washington§ |
1,903 |
17.3 |
1.3 |
(14.7--19.8) |
Tallahassee, Florida |
2,096 |
13.3 |
1.2 |
(10.9--15.6) |
Tampa-St. Petersburg-Clearwater, Florida |
2,181 |
17.5 |
1.3 |
(14.9--20.0) |
Toledo, Ohio |
988 |
17.9 |
1.8 |
(14.3--21.4) |
Topeka, Kansas |
783 |
13.2 |
1.3 |
(10.6--15.7) |
Tucson, Arizona |
741 |
15.9 |
1.7 |
(12.5--19.2) |
Tulsa, Oklahoma |
2,096 |
16.0 |
1.0 |
(14.0--17.9) |
Tuscaloosa, Alabama |
540 |
17.8 |
2.2 |
(13.4--22.1) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,148 |
12.4 |
1.6 |
(9.2--15.5) |
Warren-Troy-Farmington Hills, Michigan§ |
1,495 |
14.1 |
1.1 |
(11.9--16.2) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia§ |
6,756 |
12.3 |
0.9 |
(10.5--14.0) |
Wauchula, Florida |
690 |
21.2 |
3.7 |
(13.9--28.4) |
Wenatchee, Washington |
1,077 |
13.1 |
1.4 |
(10.3--15.8) |
West Palm Beach-Boca Raton-Boynton Beach, Florida§ |
549 |
10.1 |
1.5 |
(7.1--13.0) |
Wichita, Kansas |
1,560 |
12.8 |
1.0 |
(10.8--14.7) |
Wilmington, Delaware-Maryland-New Jersey§ |
1,768 |
12.9 |
0.9 |
(11.1--14.6) |
Wilmington, North Carolina |
615 |
18.1 |
2.0 |
(14.1--22.0) |
Worcester, Massachusetts |
2,713 |
10.7 |
0.8 |
(9.1--12.2) |
Yakima, Washington |
752 |
21.3 |
1.9 |
(17.5--25.0) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,037 |
17.2 |
2.0 |
(13.2--21.1) |
Yuma, Arizona |
564 |
20.6 |
2.0 |
(16.6--24.5) |
Median |
15.0 |
|||
Range |
7.2--31.2 |
|||
* Standard error. † Confidence interval. § Metropolitan division. |
TABLE 3. (Continued) Estimated prevalence of adults aged ≥18 years who reported fair or poor health, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Marion County, Florida |
629 |
19.5 |
2.0 |
(15.5--23.4) |
Martin County, Florida |
547 |
15.8 |
2.0 |
(11.8--19.7) |
Miami-Dade County, Florida |
613 |
19.6 |
1.9 |
(15.8--23.3) |
Monroe County, Florida |
504 |
18.4 |
4.8 |
(8.9--27.8) |
Nassau County, Florida |
545 |
15.6 |
1.8 |
(12.0--19.1) |
Okeechobee County, Florida |
726 |
24.8 |
2.5 |
(19.9--29.7) |
Orange County, Florida |
818 |
18.7 |
2.3 |
(14.1--23.2) |
Osceola County, Florida |
717 |
19.1 |
2.0 |
(15.1--23.0) |
Palm Beach County, Florida |
549 |
10.1 |
1.5 |
(7.1--13.0) |
Pasco County, Florida |
554 |
19.2 |
2.1 |
(15.0--23.3) |
Pinellas County, Florida |
541 |
14.9 |
1.8 |
(11.3--18.4) |
Polk County, Florida |
521 |
19.0 |
1.9 |
(15.2--22.7) |
St. Johns County, Florida |
565 |
14.7 |
2.3 |
(10.1--19.2) |
St. Lucie County, Florida |
531 |
17.1 |
2.1 |
(12.9--21.2) |
Santa Rosa County, Florida |
499 |
13.8 |
1.6 |
(10.6--16.9) |
Sarasota County, Florida |
829 |
14.1 |
2.0 |
(10.1--18.0) |
Seminole County, Florida |
538 |
13.5 |
1.7 |
(10.1--16.8) |
Volusia County, Florida |
515 |
17.4 |
2.1 |
(13.2--21.5) |
Wakulla County, Florida |
552 |
16.1 |
2.1 |
(11.9--20.2) |
Clayton County, Georgia |
338 |
11.9 |
2.1 |
(7.7--16.0) |
Cobb County, Georgia |
408 |
7.7 |
1.4 |
(4.9--10.4) |
DeKalb County, Georgia |
425 |
9.5 |
1.7 |
(6.1--12.8) |
Fulton County, Georgia |
407 |
9.9 |
1.9 |
(6.1--13.6) |
Gwinnett County, Georgia |
317 |
14.2 |
2.5 |
(9.3--19.1) |
Hawaii County, Hawaii |
1,519 |
17.5 |
1.2 |
(15.1--19.8) |
Honolulu County, Hawaii |
2,918 |
14.0 |
0.8 |
(12.4--15.5) |
Kauai County, Hawaii |
650 |
15.7 |
1.9 |
(11.9--19.4) |
Maui County, Hawaii |
1,510 |
14.3 |
1.3 |
(11.7--16.8) |
Ada County, Idaho |
649 |
11.4 |
1.4 |
(8.6--14.1) |
Bonneville County, Idaho |
390 |
13.5 |
2.0 |
(9.5--17.4) |
Canyon County, Idaho |
489 |
15.1 |
1.8 |
(11.5--18.6) |
Nez Perce County, Idaho |
274 |
19.4 |
2.6 |
(14.3--24.4) |
Cook County, Illinois |
1,655 |
18.2 |
1.2 |
(15.8--20.5) |
DuPage County, Illinois |
381 |
12.1 |
2.4 |
(7.3--16.8) |
Lake County, Illinois |
296 |
12.0 |
2.3 |
(7.4--16.5) |
Lake County, Indiana |
572 |
18.6 |
2.4 |
(13.8--23.3) |
Marion County, Indiana |
1,125 |
17.8 |
1.7 |
(14.4--21.1) |
Polk County, Iowa |
728 |
12.0 |
1.3 |
(9.4--14.5) |
Johnson County, Kansas |
1,546 |
7.8 |
0.8 |
(6.2--9.3) |
Sedgwick County, Kansas |
1,175 |
13.6 |
1.2 |
(11.2--15.9) |
Shawnee County, Kansas |
552 |
12.3 |
1.6 |
(9.1--15.4) |
Wyandotte County, Kansas |
350 |
16.1 |
2.3 |
(11.5--20.6) |
Jefferson County, Kentucky |
477 |
18.2 |
2.0 |
(14.2--22.1) |
Calcasieu Parish, Louisiana |
515 |
16.6 |
1.9 |
(12.8--20.3) |
East Baton Rouge Parish, Louisiana |
505 |
12.4 |
1.7 |
(9.0--15.7) |
Jefferson Parish, Louisiana |
422 |
20.9 |
2.3 |
(16.3--25.4) |
Orleans Parish, Louisiana |
295 |
16.3 |
2.7 |
(11.0--21.5) |
St. Tammany Parish, Louisiana |
333 |
14.9 |
2.7 |
(9.6--20.1) |
Cumberland County, Maine |
1,087 |
9.5 |
1.0 |
(7.5--11.4) |
Kennebec County, Maine |
548 |
15.6 |
1.9 |
(11.8--19.3) |
Penobscot County, Maine |
658 |
13.8 |
1.5 |
(10.8--16.7) |
Sagadahoc County, Maine |
279 |
13.1 |
2.4 |
(8.3--17.8) |
York County, Maine |
734 |
13.5 |
1.5 |
(10.5--16.4) |
Anne Arundel County, Maryland |
552 |
11.1 |
1.5 |
(8.1--14.0) |
TABLE 3. (Continued) Estimated prevalence of adults aged ≥18 years who reported fair or poor health, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Baltimore County, Maryland |
968 |
16.6 |
1.5 |
(13.6--19.5) |
Charles County, Maryland |
296 |
11.0 |
1.9 |
(7.2--14.7) |
Frederick County, Maryland |
538 |
12.5 |
1.8 |
(8.9--16.0) |
Harford County, Maryland |
301 |
14.3 |
2.3 |
(9.7--18.8) |
Howard County, Maryland |
339 |
6.9 |
1.4 |
(4.1--9.6) |
Montgomery County, Maryland |
1,091 |
11.5 |
1.2 |
(9.1--13.8) |
Prince George´s County, Maryland |
636 |
14.1 |
1.7 |
(10.7--17.4) |
Queen Anne´s County, Maryland |
255 |
11.4 |
2.2 |
(7.0--15.7) |
Washington County, Maryland |
439 |
16.1 |
2.0 |
(12.1--20.0) |
Baltimore City, Maryland |
497 |
15.1 |
1.8 |
(11.5--18.6) |
Barnstable County, Massachusetts |
577 |
10.3 |
1.4 |
(7.5--13.0) |
Bristol County, Massachusetts |
3,608 |
14.1 |
0.8 |
(12.5--15.6) |
Essex County, Massachusetts |
2,945 |
13.4 |
1.0 |
(11.4--15.3) |
Hampden County, Massachusetts |
1,990 |
14.4 |
1.1 |
(12.2--16.5) |
Hampshire County, Massachusetts |
360 |
8.4 |
1.6 |
(5.2--11.5) |
Middlesex County, Massachusetts |
3,922 |
9.5 |
0.7 |
(8.1--10.8) |
Norfolk County, Massachusetts |
1,254 |
11.7 |
1.1 |
(9.5--13.8) |
Plymouth County, Massachusetts |
833 |
11.1 |
1.3 |
(8.5--13.6) |
Suffolk County, Massachusetts |
2,384 |
16.6 |
1.3 |
(14.0--19.1) |
Worcester County, Massachusetts |
2,713 |
10.7 |
0.8 |
(9.1--12.2) |
Kent County, Michigan |
378 |
9.8 |
1.5 |
(6.8--12.7) |
Macomb County, Michigan |
410 |
17.2 |
2.2 |
(12.8--21.5) |
Oakland County, Michigan |
782 |
12.5 |
1.5 |
(9.5--15.4) |
Wayne County, Michigan |
1,652 |
18.3 |
1.3 |
(15.7--20.8) |
Anoka County, Minnesota |
270 |
11.3 |
2.0 |
(7.3--15.2) |
Dakota County, Minnesota |
348 |
12.4 |
2.4 |
(7.6--17.1) |
Hennepin County, Minnesota |
942 |
10.7 |
1.4 |
(7.9--13.4) |
Ramsey County, Minnesota |
413 |
10.9 |
1.8 |
(7.3--14.4) |
DeSoto County, Mississippi |
261 |
18.0 |
2.8 |
(12.5--23.4) |
Harrison County, Mississippi |
381 |
20.4 |
2.4 |
(15.6--25.1) |
Hinds County, Mississippi |
521 |
20.1 |
2.1 |
(15.9--24.2) |
Rankin County, Mississippi |
296 |
13.3 |
2.0 |
(9.3--17.2) |
Jackson County, Missouri |
496 |
14.6 |
1.7 |
(11.2--17.9) |
St. Louis County, Missouri |
458 |
14.0 |
1.9 |
(10.2--17.7) |
St. Louis City, Missouri |
469 |
20.0 |
2.5 |
(15.1--24.9) |
Flathead County, Montana |
552 |
15.1 |
1.9 |
(11.3--18.8) |
Yellowstone County, Montana |
446 |
14.1 |
1.9 |
(10.3--17.8) |
Dakota County, Nebraska |
481 |
16.8 |
2.0 |
(12.8--20.7) |
Douglas County, Nebraska |
602 |
12.3 |
1.6 |
(9.1--15.4) |
Hall County, Nebraska |
378 |
18.1 |
2.2 |
(13.7--22.4) |
Lancaster County, Nebraska |
550 |
7.3 |
1.1 |
(5.1--9.4) |
Sarpy County, Nebraska |
382 |
6.7 |
1.5 |
(3.7--9.6) |
Clark County, Nevada |
1,367 |
17.5 |
1.2 |
(15.1--19.8) |
Washoe County, Nevada |
1,378 |
15.2 |
1.2 |
(12.8--17.5) |
Grafton County, New Hampshire |
510 |
11.9 |
1.9 |
(8.1--15.6) |
Hillsborough County, New Hampshire |
1,436 |
12.2 |
1.0 |
(10.2--14.1) |
Merrimack County, New Hampshire |
647 |
9.0 |
1.2 |
(6.6--11.3) |
Rockingham County, New Hampshire |
993 |
11.1 |
1.1 |
(8.9--13.2) |
Strafford County, New Hampshire |
619 |
17.0 |
1.9 |
(13.2--20.7) |
Bergen County, New Jersey |
381 |
16.6 |
2.7 |
(11.3--21.8) |
Burlington County, New Jersey |
342 |
13.8 |
2.2 |
(9.4--18.1) |
Camden County, New Jersey |
322 |
21.0 |
2.8 |
(15.5--26.4) |
Essex County, New Jersey |
527 |
18.5 |
2.1 |
(14.3--22.6) |
Gloucester County, New Jersey |
331 |
14.0 |
2.1 |
(9.8--18.1) |
Hudson County, New Jersey |
566 |
26.3 |
2.6 |
(21.2--31.3) |
Hunterdon County, New Jersey |
365 |
7.9 |
1.4 |
(5.1--10.6) |
Middlesex County, New Jersey |
381 |
12.2 |
1.8 |
(8.6--15.7) |
Monmouth County, New Jersey |
327 |
10.6 |
1.6 |
(7.4--13.7) |
Morris County, New Jersey |
416 |
10.2 |
1.9 |
(6.4--13.9) |
Ocean County, New Jersey |
331 |
18.2 |
3.2 |
(11.9--24.4) |
Passaic County, New Jersey |
280 |
23.9 |
3.3 |
(17.4--30.3) |
Somerset County, New Jersey |
358 |
9.4 |
1.7 |
(6.0--12.7) |
Sussex County, New Jersey |
335 |
10.4 |
1.9 |
(6.6--14.1) |
Union County, New Jersey |
312 |
18.7 |
2.7 |
(13.4--23.9) |
Warren County, New Jersey |
304 |
13.7 |
2.5 |
(8.8--18.6) |
Bernalillo County, New Mexico |
1,100 |
15.0 |
1.3 |
(12.4--17.5) |
Dona Ana County, New Mexico |
713 |
20.1 |
1.8 |
(16.5--23.6) |
Sandoval County, New Mexico |
508 |
13.4 |
1.9 |
(9.6--17.1) |
San Juan County, New Mexico |
681 |
17.2 |
1.8 |
(13.6--20.7) |
Santa Fe County, New Mexico |
524 |
14.8 |
2.1 |
(10.6--18.9) |
Valencia County, New Mexico |
316 |
18.5 |
2.8 |
(13.0--23.9) |
Erie County, New York |
403 |
15.8 |
2.0 |
(11.8--19.7) |
TABLE 3. (Continued) Estimated prevalence of adults aged ≥18 years who reported fair or poor health, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Kings County, New York |
414 |
21.3 |
2.5 |
(16.4--26.2) |
Nassau County, New York |
378 |
9.8 |
1.8 |
(6.2--13.3) |
New York County, New York |
561 |
17.4 |
2.1 |
(13.2--21.5) |
Queens County, New York |
442 |
22.2 |
2.6 |
(17.1--27.2) |
Suffolk County, New York |
435 |
10.6 |
1.5 |
(7.6--13.5) |
Westchester County, New York |
279 |
10.2 |
2.1 |
(6.0--14.3) |
Buncombe County, North Carolina |
353 |
18.8 |
2.4 |
(14.0--23.5) |
Cabarrus County, North Carolina |
358 |
18.1 |
2.6 |
(13.0--23.1) |
Catawba County, North Carolina |
407 |
18.4 |
2.6 |
(13.3--23.4) |
Cumberland County, North Carolina |
378 |
21.2 |
2.6 |
(16.1--26.2) |
Durham County, North Carolina |
332 |
16.0 |
3.1 |
(9.9--22.0) |
Gaston County, North Carolina |
387 |
23.3 |
2.5 |
(18.4--28.2) |
Guilford County, North Carolina |
384 |
12.9 |
1.9 |
(9.1--16.6) |
Henderson County, North Carolina |
294 |
22.5 |
3.3 |
(16.0--28.9) |
Johnston County, North Carolina |
436 |
22.1 |
2.9 |
(16.4--27.7) |
Mecklenburg County, North Carolina |
679 |
11.6 |
1.4 |
(8.8--14.3) |
New Hanover County, North Carolina |
390 |
16.3 |
2.5 |
(11.4--21.2) |
Orange County, North Carolina |
346 |
15.7 |
3.3 |
(9.2--22.1) |
Randolph County, North Carolina |
373 |
19.7 |
2.2 |
(15.3--24.0) |
Union County, North Carolina |
375 |
13.8 |
2.0 |
(9.8--17.7) |
Wake County, North Carolina |
604 |
11.9 |
1.8 |
(8.3--15.4) |
Burleigh County, North Dakota |
498 |
11.9 |
1.5 |
(8.9--14.8) |
Cass County, North Dakota |
676 |
8.0 |
1.1 |
(5.8--10.1) |
Cuyahoga County, Ohio |
763 |
16.5 |
1.6 |
(13.3--19.6) |
Franklin County, Ohio |
752 |
14.6 |
1.4 |
(11.8--17.3) |
Hamilton County, Ohio |
828 |
14.1 |
1.4 |
(11.3--16.8) |
Licking County, Ohio |
252 |
16.9 |
2.7 |
(11.6--22.1) |
Lucas County, Ohio |
786 |
18.7 |
1.7 |
(15.3--22.0) |
Mahoning County, Ohio |
815 |
13.6 |
1.4 |
(10.8--16.3) |
Montgomery County, Ohio |
743 |
17.4 |
1.7 |
(14.0--20.7) |
Stark County, Ohio |
791 |
14.9 |
1.5 |
(11.9--17.8) |
Summit County, Ohio |
750 |
15.4 |
1.5 |
(12.4--18.3) |
Canadian County, Oklahoma |
249 |
11.0 |
2.2 |
(6.6--15.3) |
Cleveland County, Oklahoma |
412 |
15.0 |
2.3 |
(10.4--19.5) |
Oklahoma County, Oklahoma |
1,280 |
18.4 |
1.2 |
(16.0--20.7) |
Tulsa County, Oklahoma |
1,510 |
14.4 |
1.0 |
(12.4--16.3) |
Clackamas County, Oregon |
481 |
11.4 |
1.6 |
(8.2--14.5) |
Multnomah County, Oregon |
819 |
13.4 |
1.4 |
(10.6--16.1) |
Washington County, Oregon |
560 |
10.3 |
1.5 |
(7.3--13.2) |
Allegheny County, Pennsylvania |
643 |
13.4 |
1.5 |
(10.4--16.3) |
Delaware County, Pennsylvania |
274 |
15.7 |
2.4 |
(10.9--20.4) |
Fayette County, Pennsylvania |
1,628 |
23.3 |
2.2 |
(18.9--27.6) |
Luzerne County, Pennsylvania |
2,332 |
15.7 |
1.2 |
(13.3--18.0) |
Montgomery County, Pennsylvania |
336 |
8.8 |
1.5 |
(5.8--11.7) |
Philadelphia County, Pennsylvania |
1,820 |
18.0 |
1.9 |
(14.2--21.7) |
Westmoreland County, Pennsylvania |
294 |
12.7 |
2.3 |
(8.1--17.2) |
Kent County, Rhode Island |
652 |
16.9 |
1.9 |
(13.1--20.6) |
Newport County, Rhode Island |
359 |
15.2 |
2.2 |
(10.8--19.5) |
Providence County, Rhode Island |
2,716 |
15.8 |
0.9 |
(14.0--17.5) |
Washington County, Rhode Island |
516 |
11.3 |
2.5 |
(6.4--16.2) |
Aiken County, South Carolina |
686 |
13.7 |
1.4 |
(10.9--16.4) |
Beaufort County, South Carolina |
850 |
9.5 |
1.3 |
(6.9--12.0) |
Berkeley County, South Carolina |
325 |
11.0 |
1.8 |
(7.4--14.5) |
Charleston County, South Carolina |
690 |
10.2 |
1.8 |
(6.6--13.7) |
Dorchester County, South Carolina |
253 |
13.6 |
2.4 |
(8.8--18.3) |
Greenville County, South Carolina |
557 |
15.7 |
2.0 |
(11.7--19.6) |
Horry County, South Carolina |
910 |
15.6 |
1.5 |
(12.6--18.5) |
Lexington County, South Carolina |
331 |
11.3 |
1.9 |
(7.5--15.0) |
Richland County, South Carolina |
442 |
15.1 |
2.0 |
(11.1--19.0) |
York County, South Carolina |
280 |
12.9 |
2.1 |
(8.7--17.0) |
Minnehaha County, South Dakota |
727 |
9.0 |
1.1 |
(6.8--11.1) |
Pennington County, South Dakota |
769 |
11.6 |
1.4 |
(8.8--14.3) |
Davidson County, Tennessee |
285 |
16.4 |
2.8 |
(10.9--21.8) |
TABLE 3. (Continued) Estimated prevalence of adults aged ≥18 years who reported fair or poor health, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Hamilton County, Tennessee |
686 |
20.1 |
1.8 |
(16.5--23.6) |
Shelby County, Tennessee |
300 |
13.5 |
2.2 |
(9.1--17.8) |
Sullivan County, Tennessee |
424 |
24.2 |
2.5 |
(19.3--29.1) |
Bexar County, Texas |
1,056 |
17.3 |
1.5 |
(14.3--20.2) |
Cameron County, Texas |
618 |
27.6 |
2.2 |
(23.2--31.9) |
Collin County, Texas |
261 |
11.7 |
2.6 |
(6.6--16.7) |
Dallas County, Texas |
850 |
15.2 |
1.7 |
(11.8--18.5) |
Denton County, Texas |
256 |
12.7 |
2.5 |
(7.8--17.6) |
El Paso County, Texas |
1,511 |
23.6 |
1.3 |
(21.0--26.1) |
Harris County, Texas |
969 |
17.2 |
1.8 |
(13.6--20.7) |
Hidalgo County, Texas |
948 |
29.1 |
2.0 |
(25.1--33.0) |
Tarrant County, Texas |
1,146 |
13.6 |
1.1 |
(11.4--15.7) |
Travis County, Texas |
794 |
11.6 |
1.4 |
(8.8--14.3) |
Webb County, Texas |
506 |
30.6 |
3.0 |
(24.7--36.4) |
Williamson County, Texas |
361 |
10.4 |
1.9 |
(6.6--14.1) |
Davis County, Utah |
418 |
5.7 |
1.0 |
(3.7--7.6) |
Salt Lake County, Utah |
1,653 |
11.6 |
0.9 |
(9.8--13.3) |
Tooele County, Utah |
252 |
11.5 |
2.0 |
(7.5--15.4) |
Utah County, Utah |
549 |
8.8 |
1.4 |
(6.0--11.5) |
Weber County, Utah |
404 |
11.6 |
1.8 |
(8.0--15.1) |
Chittenden County, Vermont |
1,423 |
7.2 |
0.7 |
(5.8--8.5) |
Franklin County, Vermont |
465 |
11.1 |
1.5 |
(8.1--14.0) |
Orange County, Vermont |
374 |
12.9 |
2.0 |
(8.9--16.8) |
Rutland County, Vermont |
684 |
12.7 |
1.5 |
(9.7--15.6) |
Washington County, Vermont |
695 |
9.8 |
1.2 |
(7.4--12.1) |
Windsor County, Vermont |
726 |
12.7 |
1.4 |
(9.9--15.4) |
Arlington County, Virginia |
296 |
8.3 |
1.8 |
(4.7--11.8) |
Fairfax County, Virginia |
248 |
9.6 |
2.8 |
(4.1--15.0) |
Prince William County, Virginia |
278 |
17.2 |
3.9 |
(9.5--24.8) |
Alexandria city, Virginia |
262 |
10.3 |
3.1 |
(4.2--16.3) |
Benton County, Washington |
449 |
12.8 |
1.8 |
(9.2--16.3) |
Chelan County, Washington |
545 |
14.2 |
1.9 |
(10.4--17.9) |
Clark County, Washington |
1,702 |
12.8 |
1.0 |
(10.8--14.7) |
Douglas County, Washington |
532 |
10.7 |
1.5 |
(7.7--13.6) |
King County, Washington |
4,436 |
9.8 |
0.5 |
(8.8--10.7) |
Kitsap County, Washington |
1,006 |
12.3 |
1.2 |
(9.9--14.6) |
Pierce County, Washington |
1,903 |
16.4 |
1.2 |
(14.0--18.7) |
Snohomish County, Washington |
2,738 |
14.4 |
0.9 |
(12.6--16.1) |
Spokane County, Washington |
1,373 |
12.9 |
1.1 |
(10.7--15.0) |
Thurston County, Washington |
1,878 |
12.0 |
0.8 |
(10.4--13.5) |
Whatcom County, Washington |
1,173 |
12.3 |
1.2 |
(9.9--14.6) |
Yakima County, Washington |
752 |
21.3 |
1.9 |
(17.5--25.0) |
Kanawha County, West Virginia |
505 |
17.9 |
1.8 |
(14.3--21.4) |
Milwaukee County, Wisconsin |
1,187 |
13.5 |
1.6 |
(10.3--16.6) |
Fremont County, Wyoming |
503 |
15.4 |
1.8 |
(11.8--18.9) |
Laramie County, Wyoming |
908 |
13.0 |
1.3 |
(10.4--15.5) |
Natrona County, Wyoming |
758 |
11.4 |
1.3 |
(8.8--13.9) |
Median |
14.3 |
|||
Range |
5.7--30.6 |
|||
* Standard error. † Confidence interval. |
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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample Size |
% |
SE† |
95% CI§ |
Grand Island, Nebraska |
566 |
87.0 |
2.2 |
(82.6--91.3) |
Grand Rapids-Wyoming, Michigan |
504 |
90.8 |
1.7 |
(87.4--94.1) |
Greeley, Colorado |
537 |
78.1 |
2.8 |
(72.6--83.5) |
Greensboro-High Point, North Carolina |
827 |
84.1 |
2.1 |
(79.9--88.2) |
Greenville, South Carolina |
883 |
80.9 |
2.3 |
(76.3--85.4) |
Gulfport-Biloxi, Mississippi |
503 |
83.7 |
2.3 |
(79.1--88.2) |
Hagerstown-Martinsburg, Maryland-West Virginia |
712 |
83.9 |
2.2 |
(79.5--88.2) |
Hartford-West Hartford-East Hartford, Connecticut |
2,367 |
90.9 |
1.1 |
(88.7--93.0) |
Hickory-Morganton-Lenoir, North Carolina |
869 |
82.3 |
2.0 |
(78.3--86.2) |
Hilo, Hawaii |
1,517 |
92.1 |
0.8 |
(90.5--93.6) |
Hilton Head Island-Beaufort, South Carolina |
944 |
87.0 |
2.2 |
(82.6--91.3) |
Homosassa Springs, Florida |
581 |
81.9 |
2.6 |
(76.8--86.9) |
Honolulu, Hawaii |
2,919 |
94.8 |
0.6 |
(93.6--95.9) |
Houston-Sugar Land-Baytown, Texas |
1,561 |
76.4 |
1.8 |
(72.8--79.9) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
601 |
82.0 |
2.7 |
(76.7--87.2) |
Idaho Falls, Idaho |
507 |
82.2 |
2.2 |
(77.8--86.5) |
Indianapolis-Carmel, Indiana |
1,572 |
86.9 |
1.4 |
(84.1--89.6) |
Jackson, Mississippi |
1,163 |
83.5 |
1.6 |
(80.3--86.6) |
Jacksonville, Florida |
4,009 |
85.8 |
0.9 |
(84.0--87.5) |
Kahului-Wailuku, Hawaii |
1,508 |
91.9 |
1.0 |
(89.9--93.8) |
Kalispell, Montana |
553 |
81.2 |
2.1 |
(77.0--85.3) |
Kansas City, Missouri-Kansas |
3,360 |
87.5 |
1.1 |
(85.3--89.6) |
Kapaa, Hawaii |
652 |
92.8 |
1.3 |
(90.2--95.3) |
Kennewick-Richland-Pasco, Washington |
682 |
82.9 |
2.6 |
(77.8--87.9) |
Key West-Marathon, Florida |
506 |
80.2 |
2.7 |
(74.9--85.4) |
Kingsport-Bristol, Tennessee-Virginia |
594 |
83.5 |
2.3 |
(78.9--88.0) |
Lake Charles, Louisiana |
539 |
79.0 |
2.6 |
(73.9--84.0) |
Lake City, Florida |
586 |
76.4 |
3.6 |
(69.3--83.4) |
Lakeland-Winter Haven, Florida |
527 |
81.9 |
2.3 |
(77.3--86.4) |
Laredo, Texas |
508 |
56.2 |
3.1 |
(50.1--62.2) |
Las Cruces, New Mexico |
711 |
68.0 |
2.5 |
(63.1--72.9) |
Las Vegas-Paradise, Nevada |
1,368 |
77.6 |
1.6 |
(74.4--80.7) |
Lebanon, New Hampshire-Vermont |
1,609 |
87.0 |
1.4 |
(84.2--89.7) |
Lewiston, Idaho-Washington |
521 |
84.6 |
2.0 |
(80.6--88.5) |
Lincoln, Nebraska |
713 |
92.3 |
1.8 |
(88.7--95.8) |
Little Rock-North Little Rock, Arkansas |
1,245 |
84.8 |
1.5 |
(81.8--87.7) |
Los Angeles-Long Beach-Glendale, California¶ |
868 |
83.1 |
1.7 |
(79.7--86.4) |
Louisville, Kentucky-Indiana |
864 |
89.0 |
1.8 |
(85.4--92.5) |
Manchester-Nashua, New Hampshire |
1,441 |
90.4 |
1.1 |
(88.2--92.5) |
McAllen-Edinburg-Mission, Texas |
956 |
51.2 |
2.3 |
(46.6--55.7) |
Memphis, Tennessee-Mississippi-Arkansas |
988 |
84.1 |
2.1 |
(79.9--88.2) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,170 |
78.1 |
1.8 |
(74.5--81.6) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,538 |
91.9 |
1.2 |
(89.5--94.2) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,746 |
91.7 |
1.1 |
(89.5--93.8) |
Mobile, Alabama |
581 |
82.1 |
2.6 |
(77.0--87.1) |
Montgomery, Alabama |
512 |
89.0 |
2.1 |
(84.8--93.1) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
912 |
82.6 |
1.9 |
(78.8--86.3) |
Naples-Marco Island, Florida |
818 |
76.7 |
2.5 |
(71.8--81.6) |
Nashville-Davidson-Murfreesboro, Tennessee |
610 |
85.2 |
2.2 |
(80.8--89.5) |
Nassau-Suffolk, New York¶ |
814 |
89.9 |
1.6 |
(86.7--93.0) |
Newark-Union, New Jersey-Pennsylvania¶ |
2,009 |
85.5 |
1.4 |
(82.7--88.2) |
New Haven-Milford, Connecticut |
1,791 |
91.5 |
1.0 |
(89.5--93.4) |
New Orleans-Metairie-Kenner, Louisiana |
1,238 |
82.4 |
1.6 |
(79.2--85.5) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,404 |
83.6 |
1.1 |
(81.4--85.7) |
Nogales, Arizona |
523 |
77.0 |
3.7 |
(69.7--84.2) |
Norwich-New London, Connecticut |
502 |
91.7 |
2.0 |
(87.7--95.6) |
Ocala, Florida |
634 |
76.2 |
3.1 |
(70.1--82.2) |
Ogden-Clearfield, Utah |
843 |
87.9 |
1.7 |
(84.5--91.2) |
Okeechobee, Florida |
729 |
69.0 |
3.2 |
(62.7--75.2) |
Oklahoma City, Oklahoma |
2,282 |
78.2 |
1.2 |
(75.8--80.5) |
Olympia, Washington |
1,874 |
87.7 |
1.2 |
(85.3--90.0) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,545 |
88.0 |
1.4 |
(85.2--90.7) |
Orlando-Kissimmee, Florida |
2,698 |
80.5 |
1.6 |
(77.3--83.6) |
Palm Bay-Melbourne-Titusville, Florida |
556 |
89.8 |
1.7 |
(86.4--93.1) |
Palm Coast, Florida |
535 |
87.1 |
2.2 |
(82.7--91.4) |
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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample Size |
% |
SE† |
95% CI§ |
Panama City-Lynn Haven, Florida |
545 |
75.9 |
3.0 |
(70.0--81.7) |
Pensacola-Ferry Pass-Brent, Florida |
1,034 |
83.8 |
1.7 |
(80.4--87.1) |
Philadelphia, Pennsylvania¶ |
2,873 |
90.1 |
1.2 |
(87.7--92.4) |
Phoenix-Mesa-Scottsdale, Arizona |
1,284 |
81.6 |
2.1 |
(77.4--85.7) |
Pittsburgh, Pennsylvania |
2,960 |
91.5 |
1.2 |
(89.1--93.8) |
Portland-South Portland-Biddeford, Maine |
2,099 |
90.1 |
0.9 |
(88.3--91.8) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,973 |
86.6 |
1.0 |
(84.6--88.5) |
Port St. Lucie-Fort Pierce, Florida |
1,082 |
80.0 |
2.0 |
(76.0--83.9) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,146 |
90.8 |
0.6 |
(89.6--91.9) |
Provo-Orem, Utah |
583 |
85.8 |
2.3 |
(81.2--90.3) |
Raleigh-Cary, North Carolina |
1,088 |
84.5 |
2.0 |
(80.5--88.4) |
Rapid City, South Dakota |
979 |
85.7 |
1.7 |
(82.3--89.0) |
Reno-Sparks, Nevada |
1,393 |
84.6 |
1.3 |
(82.0--87.1) |
Richmond, Virginia |
861 |
90.8 |
1.6 |
(87.6--93.9) |
Riverside-San Bernardino-Ontario, California |
685 |
77.2 |
2.5 |
(72.3--82.1) |
Riverton, Wyoming |
501 |
81.5 |
2.3 |
(76.9--86.0) |
Rockingham County-Strafford County, New Hampshire¶ |
1,617 |
89.0 |
1.2 |
(86.6--91.3) |
Rutland, Vermont |
681 |
85.7 |
1.9 |
(81.9--89.4) |
St. Louis, Missouri-Illinois |
1,569 |
90.8 |
1.2 |
(88.4--93.1) |
Salt Lake City, Utah |
2,141 |
83.2 |
1.3 |
(80.6--85.7) |
San Antonio, Texas |
1,422 |
80.8 |
1.5 |
(77.8--83.7) |
San Diego-Carlsbad-San Marcos, California |
511 |
85.5 |
2.2 |
(81.1--89.8) |
San Francisco-Oakland-Fremont, California |
780 |
91.1 |
1.4 |
(88.3--93.8) |
Santa Fe, New Mexico |
524 |
79.5 |
2.6 |
(74.4--84.5) |
Sarasota-Bradenton-Venice, Florida |
1,336 |
81.9 |
1.9 |
(78.1--85.6) |
Scranton-Wilkes-Barre, Pennsylvania |
2,519 |
90.5 |
2.0 |
(86.5--94.4) |
Seaford, Delaware |
1,233 |
91.7 |
1.0 |
(89.7--93.6) |
Seattle-Bellevue-Everett, Washington¶ |
7,184 |
88.5 |
0.6 |
(87.3--89.6) |
Sebring, Florida |
763 |
81.0 |
2.5 |
(76.1--85.9) |
Sioux City, Iowa-Nebraska-South Dakota |
892 |
89.1 |
2.0 |
(85.1--93.0) |
Sioux Falls, South Dakota |
976 |
91.0 |
1.3 |
(88.4--93.5) |
Spokane, Washington |
1,370 |
86.3 |
1.5 |
(83.3--89.2) |
Springfield, Massachusetts |
2,590 |
91.5 |
1.1 |
(89.3--93.6) |
Tacoma, Washington¶ |
1,905 |
84.4 |
1.4 |
(81.6--87.1) |
Tallahassee, Florida |
2,101 |
82.0 |
2.8 |
(76.5--87.4) |
Tampa-St. Petersburg-Clearwater, Florida |
2,192 |
80.9 |
1.5 |
(77.9--83.8) |
Toledo, Ohio |
991 |
90.2 |
1.3 |
(87.6--92.7) |
Topeka, Kansas |
786 |
89.2 |
1.6 |
(86.0--92.3) |
Tucson, Arizona |
746 |
84.7 |
2.2 |
(80.3--89.0) |
Tulsa, Oklahoma |
2,101 |
82.1 |
1.3 |
(79.5--84.6) |
Tuscaloosa, Alabama |
538 |
84.7 |
2.5 |
(79.8--89.6) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,154 |
89.0 |
2.1 |
(84.8--93.1) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,495 |
90.1 |
1.2 |
(87.7--92.4) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,802 |
88.0 |
1.1 |
(85.8--90.1) |
Wauchula, Florida |
692 |
74.9 |
4.4 |
(66.2--83.5) |
Wenatchee, Washington |
1,076 |
79.7 |
2.0 |
(75.7--83.6) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
549 |
83.5 |
2.7 |
(78.2--88.7) |
Wichita, Kansas |
1,563 |
88.4 |
1.2 |
(86.0--90.7) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,769 |
92.3 |
0.9 |
(90.5--94.0) |
Wilmington, North Carolina |
615 |
80.0 |
2.7 |
(74.7--85.2) |
Worcester, Massachusetts |
2,752 |
93.3 |
0.9 |
(91.5--95.0) |
Yakima, Washington |
748 |
77.6 |
2.3 |
(73.0--82.1) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,041 |
86.7 |
2.3 |
(82.1--91.2) |
Yuma, Arizona |
561 |
80.5 |
2.4 |
(75.7--85.2) |
Median |
85.5 |
|||
Range |
51.2--95.4 |
|||
* Includes health insurance, prepaid plans (e.g., health maintenance organizations), or government plans (e.g., Medicare and Medicaid). † Standard error. § Confidence interval. ¶ Metropolitan division. |
TABLE 6. (Continued) Estimated prevalence of adults aged ≥18 years who have health care coverage,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
634 |
76.2 |
3.1 |
(70.1--82.2) |
Martin County, Florida |
550 |
82.2 |
2.9 |
(76.5--87.8) |
Miami-Dade County, Florida |
613 |
74.7 |
2.5 |
(69.8--79.6) |
Monroe County, Florida |
506 |
80.2 |
2.7 |
(74.9--85.4) |
Nassau County, Florida |
546 |
82.0 |
2.2 |
(77.6--86.3) |
Okeechobee County, Florida |
729 |
69.0 |
3.2 |
(62.7--75.2) |
Orange County, Florida |
823 |
78.8 |
2.7 |
(73.5--84.0) |
Osceola County, Florida |
718 |
77.4 |
2.4 |
(72.6--82.1) |
Palm Beach County, Florida |
549 |
83.5 |
2.7 |
(78.2--88.7) |
Pasco County, Florida |
557 |
81.7 |
2.3 |
(77.1--86.2) |
Pinellas County, Florida |
543 |
86.0 |
2.2 |
(81.6--90.3) |
Polk County, Florida |
527 |
81.9 |
2.3 |
(77.3--86.4) |
St. Johns County, Florida |
565 |
88.8 |
1.9 |
(85.0--92.5) |
St. Lucie County, Florida |
532 |
79.3 |
2.6 |
(74.2--84.3) |
Santa Rosa County, Florida |
504 |
87.7 |
1.8 |
(84.1--91.2) |
Sarasota County, Florida |
830 |
81.3 |
2.5 |
(76.4--86.2) |
Seminole County, Florida |
539 |
85.9 |
2.1 |
(81.7--90.0) |
Volusia County, Florida |
513 |
81.8 |
2.3 |
(77.2--86.3) |
Wakulla County, Florida |
553 |
85.4 |
3.0 |
(79.5--91.2) |
Clayton County, Georgia |
342 |
82.6 |
3.0 |
(76.7--88.4) |
Cobb County, Georgia |
409 |
90.6 |
2.3 |
(86.0--95.1) |
DeKalb County, Georgia |
430 |
86.5 |
2.7 |
(81.2--91.7) |
Fulton County, Georgia |
412 |
85.2 |
3.0 |
(79.3--91.0) |
Gwinnett County, Georgia |
318 |
83.7 |
3.3 |
(77.2--90.1) |
Hawaii County, Hawaii |
1,517 |
92.1 |
0.8 |
(90.5--93.6) |
Honolulu County, Hawaii |
2,919 |
94.8 |
0.6 |
(93.6--95.9) |
Kauai County, Hawaii |
652 |
92.8 |
1.3 |
(90.2--95.3) |
Maui County, Hawaii |
1,508 |
91.9 |
1.0 |
(89.9--93.8) |
Ada County, Idaho |
648 |
84.5 |
2.1 |
(80.3--88.6) |
Bonneville County, Idaho |
393 |
82.2 |
2.4 |
(77.4--86.9) |
Canyon County, Idaho |
487 |
77.2 |
2.5 |
(72.3--82.1) |
Nez Perce County, Idaho |
274 |
87.9 |
2.4 |
(83.1--92.6) |
Cook County, Illinois |
1,655 |
82.0 |
1.5 |
(79.0--84.9) |
DuPage County, Illinois |
380 |
89.4 |
2.6 |
(84.3--94.4) |
Lake County, Illinois |
296 |
88.5 |
2.6 |
(83.4--93.5) |
Lake County, Indiana |
571 |
86.3 |
2.9 |
(80.6--91.9) |
Marion County, Indiana |
1,120 |
84.7 |
1.7 |
(81.3--88.0) |
Polk County, Iowa |
731 |
91.3 |
1.4 |
(88.5--94.0) |
Johnson County, Kansas |
1,547 |
93.2 |
0.9 |
(91.4--94.9) |
Sedgwick County, Kansas |
1,177 |
89.1 |
1.3 |
(86.5--91.6) |
Shawnee County, Kansas |
553 |
88.7 |
2.0 |
(84.7--92.6) |
Wyandotte County, Kansas |
350 |
75.0 |
3.2 |
(68.7--81.2) |
Jefferson County, Kentucky |
477 |
88.8 |
2.3 |
(84.2--93.3) |
Calcasieu Parish, Louisiana |
517 |
78.9 |
2.6 |
(73.8--83.9) |
East Baton Rouge Parish, Louisiana |
507 |
79.8 |
2.5 |
(74.9--84.7) |
Jefferson Parish, Louisiana |
421 |
81.8 |
2.8 |
(76.3--87.2) |
Orleans Parish, Louisiana |
293 |
77.4 |
3.5 |
(70.5--84.2) |
St. Tammany Parish, Louisiana |
333 |
90.2 |
2.1 |
(86.0--94.3) |
Cumberland County, Maine |
1,084 |
90.2 |
1.2 |
(87.8--92.5) |
Kennebec County, Maine |
548 |
88.5 |
2.0 |
(84.5--92.4) |
Penobscot County, Maine |
659 |
85.7 |
1.7 |
(82.3--89.0) |
Sagadahoc County, Maine |
280 |
89.9 |
2.2 |
(85.5--94.2) |
York County, Maine |
735 |
90.0 |
1.5 |
(87.0--92.9) |
Anne Arundel County, Maryland |
556 |
90.6 |
1.9 |
(86.8--94.3) |
Baltimore County, Maryland |
982 |
89.5 |
1.5 |
(86.5--92.4) |
Charles County, Maryland |
297 |
93.7 |
1.8 |
(90.1--97.2) |
Frederick County, Maryland |
543 |
91.6 |
1.9 |
(87.8--95.3) |
Harford County, Maryland |
307 |
91.0 |
2.2 |
(86.6--95.3) |
Howard County, Maryland |
339 |
90.6 |
2.8 |
(85.1--96.0) |
Montgomery County, Maryland |
1,100 |
86.4 |
1.7 |
(83.0--89.7) |
Prince George´s County, Maryland |
644 |
86.2 |
2.1 |
(82.0--90.3) |
Queen Anne´s County, Maryland |
256 |
94.1 |
1.7 |
(90.7--97.4) |
Washington County, Maryland |
443 |
83.2 |
2.8 |
(77.7--88.6) |
TABLE 6. (Continued) Estimated prevalence of adults aged ≥18 years who have health care coverage,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
500 |
84.3 |
2.4 |
(79.5--89.0) |
Barnstable County, Massachusetts |
584 |
93.5 |
1.7 |
(90.1--96.8) |
Bristol County, Massachusetts |
3,656 |
93.7 |
0.8 |
(92.1--95.2) |
Essex County, Massachusetts |
2,973 |
92.9 |
1.1 |
(90.7--95.0) |
Hampden County, Massachusetts |
2,017 |
90.6 |
1.4 |
(87.8--93.3) |
Hampshire County, Massachusetts |
367 |
95.9 |
1.4 |
(93.1--98.6) |
Middlesex County, Massachusetts |
3,958 |
95.3 |
0.6 |
(94.1--96.4) |
Norfolk County, Massachusetts |
1,258 |
96.8 |
0.7 |
(95.4--98.1) |
Plymouth County, Massachusetts |
841 |
94.5 |
1.2 |
(92.1--96.8) |
Suffolk County, Massachusetts |
2,393 |
91.6 |
1.2 |
(89.2--93.9) |
Worcester County, Massachusetts |
2,752 |
93.3 |
0.9 |
(91.5--95.0) |
Kent County, Michigan |
376 |
91.2 |
1.9 |
(87.4--94.9) |
Macomb County, Michigan |
409 |
88.8 |
2.2 |
(84.4--93.1) |
Oakland County, Michigan |
783 |
93.5 |
1.4 |
(90.7--96.2) |
Wayne County, Michigan |
1,656 |
84.5 |
1.5 |
(81.5--87.4) |
Anoka County, Minnesota |
271 |
93.2 |
2.6 |
(88.1--98.2) |
Dakota County, Minnesota |
348 |
91.0 |
2.4 |
(86.2--95.7) |
Hennepin County, Minnesota |
943 |
92.2 |
2.0 |
(88.2--96.1) |
Ramsey County, Minnesota |
413 |
94.1 |
1.7 |
(90.7--97.4) |
DeSoto County, Mississippi |
262 |
83.8 |
3.3 |
(77.3--90.2) |
Harrison County, Mississippi |
382 |
84.3 |
2.6 |
(79.2--89.3) |
Hinds County, Mississippi |
522 |
81.2 |
2.6 |
(76.1--86.2) |
Rankin County, Mississippi |
298 |
86.8 |
2.4 |
(82.0--91.5) |
Jackson County, Missouri |
496 |
81.7 |
2.3 |
(77.1--86.2) |
St. Louis County, Missouri |
457 |
93.3 |
1.5 |
(90.3--96.2) |
St. Louis City, Missouri |
469 |
84.8 |
2.2 |
(80.4--89.1) |
Flathead County, Montana |
553 |
81.2 |
2.1 |
(77.0--85.3) |
Yellowstone County, Montana |
447 |
88.7 |
1.9 |
(84.9--92.4) |
Dakota County, Nebraska |
483 |
78.9 |
2.4 |
(74.1--83.6) |
Douglas County, Nebraska |
603 |
87.5 |
2.1 |
(83.3--91.6) |
Hall County, Nebraska |
378 |
86.5 |
2.3 |
(81.9--91.0) |
Lancaster County, Nebraska |
551 |
91.9 |
1.9 |
(88.1--95.6) |
Sarpy County, Nebraska |
383 |
91.2 |
2.5 |
(86.3--96.1) |
Clark County, Nevada |
1,368 |
77.6 |
1.6 |
(74.4--80.7) |
Washoe County, Nevada |
1,371 |
84.6 |
1.3 |
(82.0--87.1) |
Grafton County, New Hampshire |
510 |
85.7 |
2.0 |
(81.7--89.6) |
Hillsborough County, New Hampshire |
1,441 |
90.4 |
1.1 |
(88.2--92.5) |
Merrimack County, New Hampshire |
648 |
87.4 |
2.0 |
(83.4--91.3) |
Rockingham County, New Hampshire |
994 |
90.0 |
1.3 |
(87.4--92.5) |
Strafford County, New Hampshire |
623 |
86.7 |
2.3 |
(82.1--91.2) |
Bergen County, New Jersey |
382 |
89.3 |
2.2 |
(84.9--93.6) |
Burlington County, New Jersey |
345 |
91.3 |
2.0 |
(87.3--95.2) |
Camden County, New Jersey |
324 |
87.0 |
3.0 |
(81.1--92.8) |
Essex County, New Jersey |
540 |
82.8 |
2.1 |
(78.6--86.9) |
Gloucester County, New Jersey |
338 |
91.3 |
2.7 |
(86.0--96.5) |
Hudson County, New Jersey |
573 |
69.5 |
2.9 |
(63.8--75.1) |
Hunterdon County, New Jersey |
368 |
91.1 |
2.7 |
(85.8--96.3) |
Middlesex County, New Jersey |
385 |
89.7 |
2.2 |
(85.3--94.0) |
Monmouth County, New Jersey |
328 |
89.2 |
2.5 |
(84.3--94.1) |
Morris County, New Jersey |
418 |
91.1 |
2.3 |
(86.5--95.6) |
Ocean County, New Jersey |
331 |
89.6 |
3.2 |
(83.3--95.8) |
Passaic County, New Jersey |
283 |
85.6 |
3.0 |
(79.7--91.4) |
Somerset County, New Jersey |
361 |
93.8 |
1.9 |
(90.0--97.5) |
Sussex County, New Jersey |
336 |
91.5 |
2.7 |
(86.2--96.7) |
Union County, New Jersey |
313 |
85.3 |
2.8 |
(79.8--90.7) |
Warren County, New Jersey |
309 |
89.4 |
2.6 |
(84.3--94.4) |
Bernalillo County, New Mexico |
1,103 |
82.6 |
1.6 |
(79.4--85.7) |
Dona Ana County, New Mexico |
711 |
68.0 |
2.4 |
(63.2--72.7) |
Sandoval County, New Mexico |
508 |
80.2 |
3.1 |
(74.1--86.2) |
San Juan County, New Mexico |
682 |
73.1 |
2.3 |
(68.5--77.6) |
Santa Fe County, New Mexico |
524 |
79.5 |
2.6 |
(74.4--84.5) |
Valencia County, New Mexico |
316 |
84.1 |
2.7 |
(78.8--89.3) |
Erie County, New York |
405 |
93.2 |
1.6 |
(90.0--96.3) |
TABLE 6. (Continued) Estimated prevalence of adults aged ≥18 years who have health care coverage,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
414 |
82.6 |
2.5 |
(77.7--87.5) |
Nassau County, New York |
378 |
89.8 |
2.3 |
(85.2--94.3) |
New York County, New York |
561 |
87.8 |
2.1 |
(83.6--91.9) |
Queens County, New York |
441 |
81.0 |
2.7 |
(75.7--86.2) |
Suffolk County, New York |
436 |
90.4 |
2.0 |
(86.4--94.3) |
Westchester County, New York |
280 |
92.3 |
2.3 |
(87.7--96.8) |
Buncombe County, North Carolina |
352 |
81.3 |
3.2 |
(75.0--87.5) |
Cabarrus County, North Carolina |
359 |
83.9 |
3.4 |
(77.2--90.5) |
Catawba County, North Carolina |
409 |
83.3 |
2.7 |
(78.0--88.5) |
Cumberland County, North Carolina |
380 |
83.2 |
3.2 |
(76.9--89.4) |
Durham County, North Carolina |
333 |
75.8 |
4.2 |
(67.5--84.0) |
Gaston County, North Carolina |
390 |
85.1 |
2.3 |
(80.5--89.6) |
Guilford County, North Carolina |
384 |
90.2 |
2.1 |
(86.0--94.3) |
Henderson County, North Carolina |
296 |
81.3 |
3.4 |
(74.6--87.9) |
Johnston County, North Carolina |
435 |
83.2 |
2.5 |
(78.3--88.1) |
Mecklenburg County, North Carolina |
683 |
83.2 |
2.2 |
(78.8--87.5) |
New Hanover County, North Carolina |
390 |
80.6 |
3.2 |
(74.3--86.8) |
Orange County, North Carolina |
346 |
81.5 |
4.0 |
(73.6--89.3) |
Randolph County, North Carolina |
374 |
78.2 |
2.9 |
(72.5--83.8) |
Union County, North Carolina |
376 |
86.3 |
2.5 |
(81.4--91.2) |
Wake County, North Carolina |
607 |
85.9 |
2.4 |
(81.1--90.6) |
Burleigh County, North Dakota |
497 |
92.3 |
1.6 |
(89.1--95.4) |
Cass County, North Dakota |
674 |
90.0 |
1.8 |
(86.4--93.5) |
Cuyahoga County, Ohio |
763 |
88.0 |
1.9 |
(84.2--91.7) |
Franklin County, Ohio |
759 |
84.6 |
2.2 |
(80.2--88.9) |
Hamilton County, Ohio |
830 |
90.7 |
1.4 |
(87.9--93.4) |
Licking County, Ohio |
253 |
92.4 |
1.9 |
(88.6--96.1) |
Lucas County, Ohio |
787 |
90.0 |
1.4 |
(87.2--92.7) |
Mahoning County, Ohio |
816 |
84.8 |
2.2 |
(80.4--89.1) |
Montgomery County, Ohio |
750 |
86.7 |
2.2 |
(82.3--91.0) |
Stark County, Ohio |
797 |
90.7 |
1.4 |
(87.9--93.4) |
Summit County, Ohio |
751 |
89.7 |
1.5 |
(86.7--92.6) |
Canadian County, Oklahoma |
248 |
85.6 |
3.5 |
(78.7--92.4) |
Cleveland County, Oklahoma |
414 |
78.8 |
2.8 |
(73.3--84.2) |
Oklahoma County, Oklahoma |
1,282 |
75.5 |
1.6 |
(72.3--78.6) |
Tulsa County, Oklahoma |
1,515 |
81.3 |
1.4 |
(78.5--84.0) |
Clackamas County, Oregon |
484 |
90.0 |
2.2 |
(85.6--94.3) |
Multnomah County, Oregon |
819 |
83.5 |
1.9 |
(79.7--87.2) |
Washington County, Oregon |
559 |
86.8 |
2.1 |
(82.6--90.9) |
Allegheny County, Pennsylvania |
642 |
93.7 |
1.3 |
(91.1--96.2) |
Delaware County, Pennsylvania |
273 |
92.6 |
2.1 |
(88.4--96.7) |
Fayette County, Pennsylvania |
1,631 |
88.4 |
1.1 |
(86.2--90.5) |
Luzerne County, Pennsylvania |
2,330 |
89.7 |
1.4 |
(86.9--92.4) |
Montgomery County, Pennsylvania |
338 |
94.7 |
1.6 |
(91.5--97.8) |
Philadelphia County, Pennsylvania |
1,819 |
85.6 |
2.3 |
(81.0--90.1) |
Westmoreland County, Pennsylvania |
295 |
89.4 |
2.8 |
(83.9--94.8) |
Kent County, Rhode Island |
657 |
94.3 |
1.1 |
(92.1--96.4) |
Newport County, Rhode Island |
362 |
89.2 |
2.6 |
(84.1--94.2) |
Providence County, Rhode Island |
2,741 |
87.3 |
1.1 |
(85.1--89.4) |
Washington County, Rhode Island |
517 |
92.8 |
2.5 |
(87.9--97.7) |
Aiken County, South Carolina |
685 |
84.5 |
1.9 |
(80.7--88.2) |
Beaufort County, South Carolina |
853 |
89.1 |
2.3 |
(84.5--93.6) |
Berkeley County, South Carolina |
329 |
87.7 |
2.5 |
(82.8--92.6) |
Charleston County, South Carolina |
686 |
88.5 |
2.1 |
(84.3--92.6) |
Dorchester County, South Carolina |
251 |
88.5 |
2.9 |
(82.8--94.1) |
Greenville County, South Carolina |
555 |
80.1 |
2.8 |
(74.6--85.5) |
Horry County, South Carolina |
912 |
82.6 |
1.9 |
(78.8--86.3) |
Lexington County, South Carolina |
333 |
87.3 |
2.4 |
(82.5--92.0) |
Richland County, South Carolina |
439 |
86.2 |
2.5 |
(81.3--91.1) |
York County, South Carolina |
281 |
90.6 |
2.0 |
(86.6--94.5) |
Minnehaha County, South Dakota |
725 |
89.7 |
1.6 |
(86.5--92.8) |
Pennington County, South Dakota |
770 |
86.4 |
1.9 |
(82.6--90.1) |
Davidson County, Tennessee |
285 |
85.0 |
3.3 |
(78.5--91.4) |
TABLE 6. (Continued) Estimated prevalence of adults aged ≥18 years who have health care coverage,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
687 |
88.0 |
1.9 |
(84.2--91.7) |
Shelby County, Tennessee |
300 |
86.9 |
2.7 |
(81.6--92.1) |
Sullivan County, Tennessee |
424 |
82.7 |
2.5 |
(77.8--87.6) |
Bexar County, Texas |
1,063 |
80.7 |
1.7 |
(77.3--84.0) |
Cameron County, Texas |
621 |
55.6 |
2.6 |
(50.5--60.6) |
Collin County, Texas |
261 |
85.1 |
3.3 |
(78.6--91.5) |
Dallas County, Texas |
856 |
75.9 |
2.3 |
(71.3--80.4) |
Denton County, Texas |
257 |
89.0 |
3.0 |
(83.1--94.8) |
El Paso County, Texas |
1,510 |
65.3 |
1.7 |
(61.9--68.6) |
Harris County, Texas |
974 |
76.6 |
2.2 |
(72.2--80.9) |
Hidalgo County, Texas |
956 |
51.2 |
2.3 |
(46.6--55.7) |
Tarrant County, Texas |
1,146 |
80.5 |
1.7 |
(77.1--83.8) |
Travis County, Texas |
794 |
80.5 |
2.0 |
(76.5--84.4) |
Webb County, Texas |
508 |
56.2 |
3.1 |
(50.1--62.2) |
Williamson County, Texas |
362 |
86.1 |
2.5 |
(81.2--91.0) |
Davis County, Utah |
421 |
89.7 |
2.3 |
(85.1--94.2) |
Salt Lake County, Utah |
1,648 |
83.1 |
1.4 |
(80.3--85.8) |
Tooele County, Utah |
252 |
85.3 |
3.4 |
(78.6--91.9) |
Utah County, Utah |
549 |
85.8 |
2.4 |
(81.0--90.5) |
Weber County, Utah |
404 |
86.8 |
2.2 |
(82.4--91.1) |
Chittenden County, Vermont |
1,422 |
92.2 |
1.1 |
(90.0--94.3) |
Franklin County, Vermont |
466 |
88.4 |
2.1 |
(84.2--92.5) |
Orange County, Vermont |
374 |
85.8 |
2.5 |
(80.9--90.7) |
Rutland County, Vermont |
681 |
85.7 |
1.9 |
(81.9--89.4) |
Washington County, Vermont |
696 |
92.5 |
1.5 |
(89.5--95.4) |
Windsor County, Vermont |
725 |
90.5 |
1.6 |
(87.3--93.6) |
Arlington County, Virginia |
298 |
88.7 |
3.0 |
(82.8--94.5) |
Fairfax County, Virginia |
250 |
93.8 |
2.2 |
(89.4--98.1) |
Prince William County, Virginia |
280 |
88.0 |
2.6 |
(82.9--93.0) |
Alexandria city, Virginia |
263 |
86.0 |
4.0 |
(78.1--93.8) |
Benton County, Washington |
450 |
85.1 |
2.8 |
(79.6--90.5) |
Chelan County, Washington |
544 |
80.0 |
2.5 |
(75.1--84.9) |
Clark County, Washington |
1,702 |
89.4 |
1.1 |
(87.2--91.5) |
Douglas County, Washington |
532 |
79.9 |
2.7 |
(74.6--85.1) |
King County, Washington |
4,438 |
90.0 |
0.7 |
(88.6--91.3) |
Kitsap County, Washington |
1,005 |
88.6 |
1.5 |
(85.6--91.5) |
Pierce County, Washington |
1,905 |
85.1 |
1.3 |
(82.5--87.6) |
Snohomish County, Washington |
2,746 |
87.6 |
1.0 |
(85.6--89.5) |
Spokane County, Washington |
1,370 |
86.3 |
1.5 |
(83.3--89.2) |
Thurston County, Washington |
1,874 |
87.7 |
1.2 |
(85.3--90.0) |
Whatcom County, Washington |
1,175 |
83.8 |
1.7 |
(80.4--87.1) |
Yakima County, Washington |
748 |
77.6 |
2.3 |
(73.0--82.1) |
Kanawha County, West Virginia |
508 |
90.1 |
1.7 |
(86.7--93.4) |
Milwaukee County, Wisconsin |
1,184 |
88.4 |
1.7 |
(85.0--91.7) |
Fremont County, Wyoming |
501 |
81.5 |
2.3 |
(76.9--86.0) |
Laramie County, Wyoming |
908 |
86.9 |
1.7 |
(83.5--90.2) |
Natrona County, Wyoming |
756 |
85.1 |
1.7 |
(81.7--88.4) |
Median |
86.3 |
|||
Range |
51.2--96.8 |
|||
* Includes health insurance, prepaid plans (e.g., health maintenance organizations), or government plans (e.g., Medicare). † Standard error. § Confidence interval. ¶ Estimate not available (N/A) if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 8. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Grand Island, Nebraska |
172 |
75.1 |
3.8 |
(67.6--82.5) |
Grand Rapids-Wyoming, Michigan |
125 |
72.1 |
4.3 |
(63.6--80.5) |
Greeley, Colorado |
109 |
75.1 |
4.4 |
(66.4--83.7) |
Greensboro-High Point, North Carolina |
238 |
66.8 |
3.9 |
(59.1--74.4) |
Greenville, South Carolina |
252 |
76.6 |
3.0 |
(70.7--82.4) |
Gulfport-Biloxi, Mississippi |
162 |
69.3 |
4.1 |
(61.2--77.3) |
Hagerstown-Martinsburg, Maryland-West Virginia |
212 |
67.1 |
4.1 |
(59.0--75.1) |
Hartford-West Hartford-East Hartford, Connecticut |
706 |
74.4 |
1.9 |
(70.6--78.1) |
Hickory-Morganton-Lenoir, North Carolina |
276 |
75.5 |
2.9 |
(69.8--81.1) |
Hilo, Hawaii |
367 |
74.7 |
2.5 |
(69.8--79.6) |
Hilton Head Island-Beaufort, South Carolina |
350 |
73.4 |
2.5 |
(68.5--78.3) |
Homosassa Springs, Florida |
262 |
64.9 |
3.3 |
(58.4--71.3) |
Honolulu, Hawaii |
711 |
78.6 |
1.7 |
(75.2--81.9) |
Houston-Sugar Land-Baytown, Texas |
380 |
64.2 |
2.9 |
(58.5--69.8) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
205 |
77.6 |
3.3 |
(71.1--84.0) |
Idaho Falls, Idaho |
119 |
75.3 |
4.1 |
(67.2--83.3) |
Indianapolis-Carmel, Indiana |
383 |
70.3 |
3.1 |
(64.2--76.3) |
Jackson, Mississippi |
317 |
74.3 |
2.8 |
(68.8--79.7) |
Jacksonville, Florida |
1,021 |
66.2 |
1.8 |
(62.6--69.7) |
Kahului-Wailuku, Hawaii |
322 |
74.3 |
3.1 |
(68.2--80.3) |
Kalispell, Montana |
135 |
67.3 |
4.7 |
(58.0--76.5) |
Kansas City, Missouri-Kansas |
878 |
72.5 |
2.0 |
(68.5--76.4) |
Kapaa, Hawaii |
144 |
71.7 |
4.3 |
(63.2--80.1) |
Kennewick-Richland-Pasco, Washington |
168 |
82.4 |
3.4 |
(75.7--89.0) |
Key West-Marathon, Florida |
146 |
70.6 |
4.2 |
(62.3--78.8) |
Kingsport-Bristol, Tennessee-Virginia |
206 |
75.7 |
3.2 |
(69.4--81.9) |
Lake Charles, Louisiana |
122 |
63.7 |
5.0 |
(53.9--73.5) |
Lake City, Florida |
159 |
61.8 |
4.7 |
(52.5--71.0) |
Lakeland-Winter Haven, Florida |
170 |
62.0 |
4.1 |
(53.9--70.0) |
Laredo, Texas |
101 |
N/A |
N/A |
N/A |
Las Cruces, New Mexico |
212 |
69.4 |
3.5 |
(62.5--76.2) |
Las Vegas-Paradise, Nevada |
326 |
60.6 |
3.0 |
(54.7--66.4) |
Lebanon, New Hampshire-Vermont |
469 |
73.6 |
2.2 |
(69.2--77.9) |
Lewiston, Idaho-Washington |
154 |
73.4 |
3.9 |
(65.7--81.0) |
Lincoln, Nebraska |
198 |
77.8 |
3.7 |
(70.5--85.0) |
Little Rock-North Little Rock, Arkansas |
352 |
70.7 |
2.6 |
(65.6--75.7) |
Los Angeles-Long Beach-Glendale, California¶ |
174 |
65.8 |
4.3 |
(57.3--74.2) |
Louisville, Kentucky-Indiana |
248 |
74.5 |
3.1 |
(68.4--80.5) |
Manchester-Nashua, New Hampshire |
364 |
76.5 |
2.4 |
(71.7--81.2) |
McAllen-Edinburg-Mission, Texas |
259 |
61.7 |
3.4 |
(55.0--68.3) |
Memphis, Tennessee-Mississippi-Arkansas |
271 |
63.1 |
4.3 |
(54.6--71.5) |
Miami-Fort Lauderdale-Miami Beach, Florida |
337 |
48.3 |
3.2 |
(42.0--54.5) |
Milwaukee-Waukesha-West Allis, Wisconsin |
343 |
74.1 |
3.7 |
(66.8--81.3) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
676 |
80.4 |
1.6 |
(77.2--83.5) |
Mobile, Alabama |
164 |
67.8 |
4.4 |
(59.1--76.4) |
Montgomery, Alabama |
127 |
N/A |
N/A |
N/A |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
337 |
74.6 |
2.6 |
(69.5--79.6) |
Naples-Marco Island, Florida |
283 |
75.1 |
3.3 |
(68.6--81.5) |
Nashville-Davidson-Murfreesboro, Tennessee |
156 |
72.7 |
4.3 |
(64.2--81.1) |
Nassau-Suffolk, New York¶ |
246 |
68.9 |
3.3 |
(62.4--75.3) |
Newark-Union, New Jersey-Pennsylvania¶ |
571 |
70.0 |
2.6 |
(64.9--75.0) |
New Haven-Milford, Connecticut |
607 |
72.9 |
2.2 |
(68.5--77.2) |
New Orleans-Metairie-Kenner, Louisiana |
265 |
63.5 |
3.5 |
(56.6--70.3) |
New York-White Plains-Wayne, New York-New Jersey¶ |
924 |
68.7 |
2.0 |
(64.7--72.6) |
Nogales, Arizona |
136 |
N/A |
N/A |
N/A |
Norwich-New London, Connecticut |
163 |
72.6 |
3.9 |
(64.9--80.2) |
Ocala, Florida |
251 |
68.7 |
3.4 |
(62.0--75.3) |
Ogden-Clearfield, Utah |
179 |
76.0 |
3.4 |
(69.3--82.6) |
Okeechobee, Florida |
279 |
65.2 |
3.4 |
(58.5--71.8) |
Oklahoma City, Oklahoma |
616 |
76.1 |
2.0 |
(72.1--80.0) |
Olympia, Washington |
480 |
71.8 |
2.3 |
(67.2--76.3) |
Omaha-Council Bluffs, Nebraska-Iowa |
367 |
79.7 |
2.8 |
(74.2--85.1) |
Orlando-Kissimmee, Florida |
768 |
63.4 |
2.7 |
(58.1--68.6) |
Palm Bay-Melbourne-Titusville, Florida |
202 |
71.8 |
3.8 |
(64.3--79.2) |
Palm Coast, Florida |
196 |
68.6 |
4.0 |
(60.7--76.4) |
TABLE 8. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Panama City-Lynn Haven, Florida |
144 |
64.2 |
5.0 |
(54.4--74.0) |
Pensacola-Ferry Pass-Brent, Florida |
260 |
61.7 |
3.5 |
(54.8--68.5) |
Philadelphia, Pennsylvania¶ |
756 |
72.4 |
2.5 |
(67.5--77.3) |
Phoenix-Mesa-Scottsdale, Arizona |
377 |
69.5 |
3.1 |
(63.4--75.5) |
Pittsburgh, Pennsylvania |
909 |
74.8 |
2.4 |
(70.0--79.5) |
Portland-South Portland-Biddeford, Maine |
559 |
78.0 |
1.9 |
(74.2--81.7) |
Portland-Vancouver-Beaverton, Oregon-Washington |
992 |
74.7 |
1.7 |
(71.3--78.0) |
Port St. Lucie-Fort Pierce, Florida |
426 |
64.3 |
2.8 |
(58.8--69.7) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
2,487 |
77.6 |
1.0 |
(75.6--79.5) |
Provo-Orem, Utah |
114 |
71.5 |
4.7 |
(62.2--80.7) |
Raleigh-Cary, North Carolina |
249 |
75.5 |
3.8 |
(68.0--82.9) |
Rapid City, South Dakota |
265 |
81.0 |
2.5 |
(76.1--85.9) |
Reno-Sparks, Nevada |
322 |
66.4 |
3.0 |
(60.5--72.2) |
Richmond, Virginia |
240 |
80.5 |
2.7 |
(75.2--85.7) |
Riverside-San Bernardino-Ontario, California |
184 |
63.6 |
4.5 |
(54.7--72.4) |
Riverton, Wyoming |
146 |
73.0 |
3.9 |
(65.3--80.6) |
Rockingham County-Strafford County, New Hampshire¶ |
396 |
80.5 |
2.1 |
(76.3--84.6) |
Rutland, Vermont |
196 |
70.3 |
3.5 |
(63.4--77.1) |
St. Louis, Missouri-Illinois |
415 |
66.9 |
3.0 |
(61.0--72.7) |
Salt Lake City, Utah |
464 |
76.4 |
2.2 |
(72.0--80.7) |
San Antonio, Texas |
385 |
71.4 |
2.7 |
(66.1--76.6) |
San Diego-Carlsbad-San Marcos, California |
141 |
75.0 |
4.2 |
(66.7--83.2) |
San Francisco-Oakland-Fremont, California |
210 |
78.6 |
3.2 |
(72.3--84.8) |
Santa Fe, New Mexico |
130 |
62.2 |
5.0 |
(52.4--72.0) |
Sarasota-Bradenton-Venice, Florida |
575 |
71.8 |
2.3 |
(67.2--76.3) |
Scranton-Wilkes-Barre, Pennsylvania |
760 |
73.8 |
3.0 |
(67.9--79.6) |
Seaford, Delaware |
418 |
76.6 |
2.3 |
(72.0--81.1) |
Seattle-Bellevue-Everett, Washington¶ |
1,749 |
72.0 |
1.5 |
(69.0--74.9) |
Sebring, Florida |
394 |
64.3 |
4.6 |
(55.2--73.3) |
Sioux City, Iowa-Nebraska-South Dakota |
244 |
74.9 |
5.0 |
(65.1--84.7) |
Sioux Falls, South Dakota |
256 |
81.7 |
2.7 |
(76.4--86.9) |
Spokane, Washington |
393 |
66.1 |
2.6 |
(61.0--71.1) |
Springfield, Massachusetts |
784 |
77.2 |
2.1 |
(73.0--81.3) |
Tacoma, Washington¶ |
472 |
76.9 |
2.4 |
(72.1--81.6) |
Tallahassee, Florida |
500 |
69.0 |
4.1 |
(60.9--77.0) |
Tampa-St. Petersburg-Clearwater, Florida |
807 |
63.7 |
2.2 |
(59.3--68.0) |
Toledo, Ohio |
279 |
70.6 |
3.2 |
(64.3--76.8) |
Topeka, Kansas |
213 |
77.4 |
3.0 |
(71.5--83.2) |
Tucson, Arizona |
243 |
76.6 |
3.0 |
(70.7--82.4) |
Tulsa, Oklahoma |
651 |
76.4 |
2.0 |
(72.4--80.3) |
Tuscaloosa, Alabama |
136 |
N/A |
N/A |
N/A |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
308 |
80.3 |
2.5 |
(75.4--85.2) |
Warren-Troy-Farmington Hills, Michigan¶ |
436 |
71.3 |
2.4 |
(66.5--76.0) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
1,546 |
66.1 |
3.0 |
(60.2--71.9) |
Wauchula, Florida |
211 |
N/A |
N/A |
N/A |
Wenatchee, Washington |
363 |
80.9 |
2.4 |
(76.1--85.6) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
248 |
74.8 |
3.0 |
(68.9--80.6) |
Wichita, Kansas |
409 |
72.3 |
2.4 |
(67.5--77.0) |
Wilmington, Delaware-Maryland-New Jersey¶ |
404 |
69.4 |
2.7 |
(64.1--74.6) |
Wilmington, North Carolina |
217 |
78.8 |
2.9 |
(73.1--84.4) |
Worcester, Massachusetts |
811 |
72.6 |
2.1 |
(68.4--76.7) |
Yakima, Washington |
232 |
71.3 |
3.4 |
(64.6--77.9) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
365 |
60.4 |
4.1 |
(52.3--68.4) |
Yuma, Arizona |
199 |
63.1 |
3.9 |
(55.4--70.7) |
Median |
72.6 |
|||
Range |
48.3--83.4 |
|||
* Standard error. † Confidence interval. § Estimate not available (N/A) if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. ¶ Metropolitan division. |
TABLE 9. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Nassau County, Florida |
154 |
74.4 |
3.9 |
(66.7--82.0) |
Okeechobee County, Florida |
279 |
65.2 |
3.4 |
(58.5--71.8) |
Orange County, Florida |
178 |
N/A |
N/A |
N/A |
Osceola County, Florida |
181 |
59.8 |
4.5 |
(50.9--68.6) |
Palm Beach County, Florida |
248 |
74.8 |
3.0 |
(68.9--80.6) |
Pasco County, Florida |
222 |
63.4 |
3.7 |
(56.1--70.6) |
Pinellas County, Florida |
205 |
68.1 |
3.6 |
(61.0--75.1) |
Polk County, Florida |
170 |
62.0 |
4.1 |
(53.9--70.0) |
St. Johns County, Florida |
167 |
72.6 |
3.8 |
(65.1--80.0) |
St. Lucie County, Florida |
188 |
58.9 |
4.1 |
(50.8--66.9) |
Santa Rosa County, Florida |
110 |
N/A |
N/A |
N/A |
Sarasota County, Florida |
358 |
71.7 |
3.1 |
(65.6--77.7) |
Seminole County, Florida |
133 |
66.0 |
4.6 |
(56.9--75.0) |
Volusia County, Florida |
197 |
69.7 |
3.6 |
(62.6--76.7) |
Wakulla County, Florida |
130 |
N/A |
N/A |
N/A |
Clayton County, Georgia |
73 |
N/A |
N/A |
N/A |
Cobb County, Georgia |
106 |
82.3 |
4.0 |
(74.4--90.1) |
DeKalb County, Georgia |
109 |
80.1 |
4.1 |
(72.0--88.1) |
Fulton County, Georgia |
109 |
67.8 |
4.9 |
(58.1--77.4) |
Gwinnett County, Georgia |
53 |
N/A |
N/A |
N/A |
Hawaii County, Hawaii |
367 |
74.7 |
2.5 |
(69.8--79.6) |
Honolulu County, Hawaii |
711 |
78.6 |
1.7 |
(75.2--81.9) |
Kauai County, Hawaii |
144 |
71.7 |
4.3 |
(63.2--80.1) |
Maui County, Hawaii |
322 |
74.3 |
3.1 |
(68.2--80.3) |
Ada County, Idaho |
142 |
80.2 |
3.7 |
(72.9--87.4) |
Bonneville County, Idaho |
94 |
77.0 |
4.5 |
(68.1--85.8) |
Canyon County, Idaho |
124 |
65.9 |
4.7 |
(56.6--75.1) |
Nez Perce County, Idaho |
83 |
74.3 |
5.0 |
(64.5--84.1) |
Cook County, Illinois |
453 |
62.4 |
2.6 |
(57.3--67.4) |
DuPage County, Illinois |
104 |
75.6 |
4.6 |
(66.5--84.6) |
Lake County, Illinois |
57 |
N/A |
N/A |
N/A |
Lake County, Indiana |
123 |
N/A |
N/A |
N/A |
Marion County, Indiana |
278 |
68.6 |
3.8 |
(61.1--76.0) |
Polk County, Iowa |
183 |
79.7 |
3.3 |
(73.2--86.1) |
Johnson County, Kansas |
378 |
78.3 |
2.3 |
(73.7--82.8) |
Sedgwick County, Kansas |
302 |
70.9 |
2.8 |
(65.4--76.3) |
Shawnee County, Kansas |
156 |
76.8 |
3.5 |
(69.9--83.6) |
Wyandotte County, Kansas |
99 |
N/A |
N/A |
N/A |
Jefferson County, Kentucky |
153 |
73.7 |
3.9 |
(66.0--81.3) |
Calcasieu Parish, Louisiana |
120 |
64.2 |
5.0 |
(54.4--74.0) |
East Baton Rouge Parish, Louisiana |
106 |
76.5 |
4.3 |
(68.0--84.9) |
Jefferson Parish, Louisiana |
100 |
66.5 |
5.1 |
(56.5--76.4) |
Orleans Parish, Louisiana |
56 |
N/A |
N/A |
N/A |
St. Tammany Parish, Louisiana |
70 |
N/A |
N/A |
N/A |
Cumberland County, Maine |
288 |
82.5 |
2.5 |
(77.6--87.4) |
Kennebec County, Maine |
120 |
76.0 |
4.1 |
(67.9--84.0) |
Penobscot County, Maine |
146 |
81.4 |
3.4 |
(74.7--88.0) |
Sagadahoc County, Maine |
65 |
85.8 |
4.0 |
(77.9--93.6) |
York County, Maine |
206 |
70.0 |
3.5 |
(63.1--76.8) |
Anne Arundel County, Maryland |
135 |
75.1 |
4.2 |
(66.8--83.3) |
Baltimore County, Maryland |
314 |
73.6 |
2.8 |
(68.1--79.0) |
Charles County, Maryland |
58 |
N/A |
N/A |
N/A |
Frederick County, Maryland |
107 |
N/A |
N/A |
N/A |
Harford County, Maryland |
74 |
N/A |
N/A |
N/A |
Howard County, Maryland |
60 |
N/A |
N/A |
N/A |
Montgomery County, Maryland |
311 |
76.9 |
3.0 |
(71.0--82.7) |
Prince George´s County, Maryland |
126 |
N/A |
N/A |
N/A |
Queen Anne´s County, Maryland |
85 |
75.8 |
5.0 |
(66.0--85.6) |
Washington County, Maryland |
150 |
71.2 |
4.2 |
(62.9--79.4) |
Baltimore City, Maryland |
134 |
67.0 |
4.6 |
(57.9--76.0) |
Barnstable County, Massachusetts |
245 |
81.1 |
2.7 |
(75.8--86.3) |
Bristol County, Massachusetts |
1,123 |
71.6 |
2.1 |
(67.4--75.7) |
Essex County, Massachusetts |
887 |
76.5 |
2.1 |
(72.3--80.6) |
Hampden County, Massachusetts |
631 |
76.8 |
2.6 |
(71.7--81.8) |
Hampshire County, Massachusetts |
99 |
81.9 |
4.4 |
(73.2--90.5) |
Middlesex County, Massachusetts |
1,092 |
83.3 |
1.4 |
(80.5--86.0) |
TABLE 9. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Norfolk County, Massachusetts |
395 |
78.4 |
2.3 |
(73.8--82.9) |
Plymouth County, Massachusetts |
265 |
76.0 |
2.9 |
(70.3--81.6) |
Suffolk County, Massachusetts |
604 |
76.2 |
2.2 |
(71.8--80.5) |
Worcester County, Massachusetts |
811 |
72.6 |
2.1 |
(68.4--76.7) |
Kent County, Michigan |
95 |
74.2 |
4.8 |
(64.7--83.6) |
Macomb County, Michigan |
122 |
75.2 |
4.4 |
(66.5--83.8) |
Oakland County, Michigan |
238 |
72.7 |
3.2 |
(66.4--78.9) |
Wayne County, Michigan |
473 |
62.4 |
2.9 |
(56.7--68.0) |
Anoka County, Minnesota |
57 |
N/A |
N/A |
N/A |
Dakota County, Minnesota |
78 |
81.7 |
4.6 |
(72.6--90.7) |
Hennepin County, Minnesota |
269 |
79.3 |
2.6 |
(74.2--84.3) |
Ramsey County, Minnesota |
111 |
80.4 |
4.1 |
(72.3--88.4) |
DeSoto County, Mississippi |
73 |
N/A |
N/A |
N/A |
Harrison County, Mississippi |
127 |
68.6 |
4.7 |
(59.3--77.8) |
Hinds County, Mississippi |
155 |
75.4 |
4.0 |
(67.5--83.2) |
Rankin County, Mississippi |
76 |
78.3 |
5.1 |
(68.3--88.2) |
Jackson County, Missouri |
129 |
65.3 |
4.7 |
(56.0--74.5) |
St. Louis County, Missouri |
122 |
72.8 |
4.8 |
(63.3--82.2) |
St. Louis City, Missouri |
106 |
N/A |
N/A |
N/A |
Flathead County, Montana |
135 |
67.3 |
4.7 |
(58.0--76.5) |
Yellowstone County, Montana |
139 |
79.3 |
3.6 |
(72.2--86.3) |
Dakota County, Nebraska |
136 |
63.2 |
4.8 |
(53.7--72.6) |
Douglas County, Nebraska |
145 |
81.8 |
3.9 |
(74.1--89.4) |
Hall County, Nebraska |
111 |
72.8 |
4.7 |
(63.5--82.0) |
Lancaster County, Nebraska |
143 |
78.4 |
4.0 |
(70.5--86.2) |
Sarpy County, Nebraska |
83 |
N/A |
N/A |
N/A |
Clark County, Nevada |
326 |
60.6 |
3.0 |
(54.7--66.4) |
Washoe County, Nevada |
315 |
66.9 |
3.0 |
(61.0--72.7) |
Grafton County, New Hampshire |
161 |
75.6 |
3.6 |
(68.5--82.6) |
Hillsborough County, New Hampshire |
364 |
76.5 |
2.4 |
(71.7--81.2) |
Merrimack County, New Hampshire |
182 |
72.8 |
3.9 |
(65.1--80.4) |
Rockingham County, New Hampshire |
238 |
80.3 |
2.7 |
(75.0--85.5) |
Strafford County, New Hampshire |
158 |
81.1 |
3.3 |
(74.6--87.5) |
Bergen County, New Jersey |
134 |
72.1 |
4.5 |
(63.2--80.9) |
Burlington County, New Jersey |
109 |
75.1 |
4.6 |
(66.0--84.1) |
Camden County, New Jersey |
106 |
N/A |
N/A |
N/A |
Essex County, New Jersey |
150 |
72.6 |
4.4 |
(63.9--81.2) |
Gloucester County, New Jersey |
108 |
N/A |
N/A |
N/A |
Hudson County, New Jersey |
153 |
56.1 |
5.1 |
(46.1--66.0) |
Hunterdon County, New Jersey |
102 |
67.4 |
5.0 |
(57.6--77.2) |
Middlesex County, New Jersey |
123 |
76.3 |
4.2 |
(68.0--84.5) |
Monmouth County, New Jersey |
102 |
N/A |
N/A |
N/A |
Morris County, New Jersey |
132 |
70.8 |
4.4 |
(62.1--79.4) |
Ocean County, New Jersey |
153 |
69.9 |
4.2 |
(61.6--78.1) |
Passaic County, New Jersey |
86 |
N/A |
N/A |
N/A |
Somerset County, New Jersey |
105 |
73.5 |
5.1 |
(63.5--83.4) |
Sussex County, New Jersey |
90 |
N/A |
N/A |
N/A |
Union County, New Jersey |
93 |
N/A |
N/A |
N/A |
Warren County, New Jersey |
112 |
69.9 |
4.8 |
(60.4--79.3) |
Bernalillo County, New Mexico |
292 |
71.9 |
2.9 |
(66.2--77.5) |
Dona Ana County, New Mexico |
212 |
69.4 |
3.5 |
(62.5--76.2) |
Sandoval County, New Mexico |
123 |
81.0 |
3.7 |
(73.7--88.2) |
San Juan County, New Mexico |
137 |
N/A |
N/A |
N/A |
Santa Fe County, New Mexico |
130 |
62.2 |
5.0 |
(52.4--72.0) |
Valencia County, New Mexico |
68 |
N/A |
N/A |
N/A |
Erie County, New York |
104 |
76.2 |
4.5 |
(67.3--85.0) |
Kings County, New York |
94 |
N/A |
N/A |
N/A |
Nassau County, New York |
124 |
71.2 |
4.5 |
(62.3--80.0) |
New York County, New York |
165 |
74.2 |
4.5 |
(65.3--83.0) |
Queens County, New York |
97 |
N/A |
N/A |
N/A |
Suffolk County, New York |
122 |
66.4 |
4.7 |
(57.1--75.6) |
Westchester County, New York |
80 |
N/A |
N/A |
N/A |
Buncombe County, North Carolina |
123 |
75.2 |
4.2 |
(66.9--83.4) |
Cabarrus County, North Carolina |
98 |
72.0 |
5.0 |
(62.2--81.8) |
Catawba County, North Carolina |
116 |
80.6 |
4.0 |
(72.7--88.4) |
Cumberland County, North Carolina |
92 |
N/A |
N/A |
N/A |
TABLE 9. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Durham County, North Carolina |
92 |
75.8 |
5.1 |
(65.8--85.7) |
Gaston County, North Carolina |
120 |
75.5 |
4.4 |
(66.8--84.1) |
Guilford County, North Carolina |
111 |
68.5 |
5.0 |
(58.7--78.3) |
Henderson County, North Carolina |
128 |
64.5 |
4.2 |
(56.2--72.7) |
Johnston County, North Carolina |
99 |
75.8 |
4.7 |
(66.5--85.0) |
Mecklenburg County, North Carolina |
158 |
77.6 |
3.7 |
(70.3--84.8) |
New Hanover County, North Carolina |
118 |
76.8 |
4.3 |
(68.3--85.2) |
Orange County, North Carolina |
85 |
88.2 |
4.2 |
(79.9--96.4) |
Randolph County, North Carolina |
108 |
72.8 |
4.5 |
(63.9--81.6) |
Union County, North Carolina |
101 |
63.5 |
5.1 |
(53.5--73.4) |
Wake County, North Carolina |
136 |
76.3 |
4.3 |
(67.8--84.7) |
Burleigh County, North Dakota |
127 |
75.4 |
4.0 |
(67.5--83.2) |
Cass County, North Dakota |
164 |
69.7 |
3.9 |
(62.0--77.3) |
Cuyahoga County, Ohio |
249 |
74.3 |
2.9 |
(68.6--79.9) |
Franklin County, Ohio |
193 |
71.8 |
3.7 |
(64.5--79.0) |
Hamilton County, Ohio |
245 |
74.1 |
3.1 |
(68.0--80.1) |
Licking County, Ohio |
75 |
N/A |
N/A |
N/A |
Lucas County, Ohio |
222 |
69.7 |
3.4 |
(63.0--76.3) |
Mahoning County, Ohio |
284 |
62.5 |
3.3 |
(56.0--68.9) |
Montgomery County, Ohio |
243 |
73.9 |
3.1 |
(67.8--79.9) |
Stark County, Ohio |
254 |
76.8 |
2.9 |
(71.1--82.4) |
Summit County, Ohio |
241 |
80.1 |
2.7 |
(74.8--85.3) |
Canadian County, Oklahoma |
61 |
87.2 |
4.3 |
(78.7--95.6) |
Cleveland County, Oklahoma |
102 |
71.8 |
4.9 |
(62.1--81.4) |
Oklahoma County, Oklahoma |
360 |
75.1 |
2.7 |
(69.8--80.3) |
Tulsa County, Oklahoma |
475 |
78.0 |
2.2 |
(73.6--82.3) |
Clackamas County, Oregon |
121 |
71.7 |
4.3 |
(63.2--80.1) |
Multnomah County, Oregon |
195 |
74.4 |
3.5 |
(67.5--81.2) |
Washington County, Oregon |
129 |
78.4 |
4.0 |
(70.5--86.2) |
Allegheny County, Pennsylvania |
201 |
75.8 |
3.4 |
(69.1--82.4) |
Delaware County, Pennsylvania |
74 |
N/A |
N/A |
N/A |
Fayette County, Pennsylvania |
482 |
68.1 |
3.0 |
(62.2--73.9) |
Luzerne County, Pennsylvania |
715 |
68.5 |
3.6 |
(61.4--75.5) |
Montgomery County, Pennsylvania |
106 |
81.9 |
4.3 |
(73.4--90.3) |
Philadelphia County, Pennsylvania |
454 |
70.8 |
4.4 |
(62.1--79.4) |
Westmoreland County, Pennsylvania |
102 |
81.5 |
4.9 |
(71.8--91.1) |
Kent County, Rhode Island |
200 |
82.4 |
2.8 |
(76.9--87.8) |
Newport County, Rhode Island |
127 |
81.4 |
3.5 |
(74.5--88.2) |
Providence County, Rhode Island |
818 |
78.0 |
1.6 |
(74.8--81.1) |
Washington County, Rhode Island |
148 |
79.5 |
3.7 |
(72.2--86.7) |
Aiken County, South Carolina |
190 |
69.5 |
3.6 |
(62.4--76.5) |
Beaufort County, South Carolina |
322 |
73.1 |
2.6 |
(68.0--78.1) |
Berkeley County, South Carolina |
75 |
N/A |
N/A |
N/A |
Charleston County, South Carolina |
181 |
76.8 |
3.6 |
(69.7--83.8) |
Dorchester County, South Carolina |
57 |
N/A |
N/A |
N/A |
Greenville County, South Carolina |
154 |
75.5 |
3.9 |
(67.8--83.1) |
Horry County, South Carolina |
337 |
74.6 |
2.6 |
(69.5--79.6) |
Lexington County, South Carolina |
75 |
N/A |
N/A |
N/A |
Richland County, South Carolina |
89 |
N/A |
N/A |
N/A |
York County, South Carolina |
70 |
N/A |
N/A |
N/A |
Minnehaha County, South Dakota |
189 |
82.3 |
3.0 |
(76.4--88.1) |
Pennington County, South Dakota |
213 |
80.5 |
2.9 |
(74.8--86.1) |
Davidson County, Tennessee |
84 |
79.7 |
4.5 |
(70.8--88.5) |
Hamilton County, Tennessee |
217 |
74.6 |
3.2 |
(68.3--80.8) |
Shelby County, Tennessee |
81 |
N/A |
N/A |
N/A |
Sullivan County, Tennessee |
148 |
72.4 |
4.1 |
(64.3--80.4) |
Bexar County, Texas |
281 |
71.1 |
3.1 |
(65.0--77.1) |
Cameron County, Texas |
165 |
66.8 |
4.3 |
(58.3--75.2) |
Collin County, Texas |
70 |
N/A |
N/A |
N/A |
Dallas County, Texas |
237 |
72.8 |
3.2 |
(66.5--79.0) |
Denton County, Texas |
36 |
N/A |
N/A |
N/A |
El Paso County, Texas |
366 |
66.9 |
2.7 |
(61.6--72.1) |
Harris County, Texas |
219 |
64.3 |
3.9 |
(56.6--71.9) |
Hidalgo County, Texas |
259 |
61.7 |
3.4 |
(55.0--68.3) |
Tarrant County, Texas |
284 |
69.3 |
3.1 |
(63.2--75.3) |
Travis County, Texas |
188 |
71.7 |
3.7 |
(64.4--78.9) |
TABLE 9. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Webb County, Texas |
101 |
N/A |
N/A |
N/A |
Williamson County, Texas |
93 |
74.9 |
5.0 |
(65.1--84.7) |
Davis County, Utah |
82 |
75.6 |
5.1 |
(65.6--85.5) |
Salt Lake County, Utah |
381 |
76.0 |
2.4 |
(71.2--80.7) |
Tooele County, Utah |
50 |
N/A |
N/A |
N/A |
Utah County, Utah |
103 |
72.6 |
4.9 |
(62.9--82.2) |
Weber County, Utah |
92 |
78.6 |
4.4 |
(69.9--87.2) |
Chittenden County, Vermont |
333 |
78.0 |
2.5 |
(73.1--82.9) |
Franklin County, Vermont |
111 |
64.1 |
5.0 |
(54.3--73.9) |
Orange County, Vermont |
107 |
72.8 |
4.9 |
(63.1--82.4) |
Rutland County, Vermont |
196 |
70.3 |
3.5 |
(63.4--77.1) |
Washington County, Vermont |
179 |
77.0 |
3.3 |
(70.5--83.4) |
Windsor County, Vermont |
201 |
71.9 |
3.4 |
(65.2--78.5) |
Arlington County, Virginia |
59 |
N/A |
N/A |
N/A |
Fairfax County, Virginia |
61 |
N/A |
N/A |
N/A |
Prince William County, Virginia |
38 |
N/A |
N/A |
N/A |
Alexandria city, Virginia |
47 |
N/A |
N/A |
N/A |
Benton County, Washington |
117 |
83.4 |
3.9 |
(75.7--91.0) |
Chelan County, Washington |
182 |
81.1 |
3.2 |
(74.8--87.3) |
Clark County, Washington |
425 |
70.1 |
2.5 |
(65.2--75.0) |
Douglas County, Washington |
181 |
80.5 |
3.0 |
(74.6--86.3) |
King County, Washington |
1,073 |
72.1 |
1.5 |
(69.1--75.0) |
Kitsap County, Washington |
236 |
74.1 |
3.1 |
(68.0--80.1) |
Pierce County, Washington |
472 |
77.8 |
2.1 |
(73.6--81.9) |
Snohomish County, Washington |
676 |
73.0 |
1.9 |
(69.2--76.7) |
Spokane County, Washington |
393 |
66.1 |
2.6 |
(61.0--71.1) |
Thurston County, Washington |
480 |
71.8 |
2.3 |
(67.2--76.3) |
Whatcom County, Washington |
307 |
72.1 |
2.8 |
(66.6--77.5) |
Yakima County, Washington |
232 |
71.3 |
3.4 |
(64.6--77.9) |
Kanawha County, West Virginia |
158 |
67.5 |
4.5 |
(58.6--76.3) |
Milwaukee County, Wisconsin |
252 |
73.4 |
4.6 |
(64.3--82.4) |
Fremont County, Wyoming |
146 |
73.0 |
3.9 |
(65.3--80.6) |
Laramie County, Wyoming |
245 |
79.5 |
2.9 |
(73.8--85.1) |
Natrona County, Wyoming |
226 |
74.6 |
3.2 |
(68.3--80.8) |
Median |
73.4 |
|||
Range |
43.8--88.2 |
|||
* Standard error. † Confidence interval. § Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 11. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Grand Island, Nebraska |
170 |
68.0 |
4.0 |
(60.1--75.8) |
Grand Rapids-Wyoming, Michigan |
120 |
74.8 |
4.3 |
(66.3--83.2) |
Greeley, Colorado |
106 |
71.6 |
4.9 |
(61.9--81.2) |
Greensboro-High Point, North Carolina |
233 |
61.6 |
4.0 |
(53.7--69.4) |
Greenville, South Carolina |
249 |
69.9 |
3.3 |
(63.4--76.3) |
Gulfport-Biloxi, Mississippi |
159 |
65.9 |
4.4 |
(57.2--74.5) |
Hagerstown-Martinsburg, Maryland-West Virginia |
209 |
70.7 |
3.9 |
(63.0--78.3) |
Hartford-West Hartford-East Hartford, Connecticut |
671 |
64.0 |
2.1 |
(59.8--68.1) |
Hickory-Morganton-Lenoir, North Carolina |
270 |
71.8 |
3.3 |
(65.3--78.2) |
Hilo, Hawaii |
346 |
67.5 |
2.9 |
(61.8--73.1) |
Hilton Head Island-Beaufort, South Carolina |
338 |
65.2 |
2.8 |
(59.7--70.6) |
Homosassa Springs, Florida |
257 |
66.9 |
3.4 |
(60.2--73.5) |
Honolulu, Hawaii |
673 |
68.3 |
2.1 |
(64.1--72.4) |
Houston-Sugar Land-Baytown, Texas |
376 |
66.4 |
2.9 |
(60.7--72.0) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
202 |
74.2 |
3.6 |
(67.1--81.2) |
Idaho Falls, Idaho |
112 |
56.4 |
5.0 |
(46.6--66.2) |
Indianapolis-Carmel, Indiana |
372 |
69.2 |
3.2 |
(62.9--75.4) |
Jackson, Mississippi |
307 |
69.1 |
3.0 |
(63.2--74.9) |
Jacksonville, Florida |
988 |
65.8 |
1.9 |
(62.0--69.5) |
Kahului-Wailuku, Hawaii |
307 |
63.0 |
3.8 |
(55.5--70.4) |
Kalispell, Montana |
128 |
69.5 |
4.7 |
(60.2--78.7) |
Kansas City, Missouri-Kansas |
855 |
71.2 |
2.0 |
(67.2--75.1) |
Kapaa, Hawaii |
139 |
65.1 |
4.7 |
(55.8--74.3) |
Kennewick-Richland-Pasco, Washington |
165 |
75.2 |
3.8 |
(67.7--82.6) |
Key West-Marathon, Florida |
143 |
54.7 |
5.0 |
(44.9--64.5) |
Kingsport-Bristol, Tennessee-Virginia |
202 |
71.3 |
3.8 |
(63.8--78.7) |
Lake Charles, Louisiana |
120 |
N/A |
N/A |
N/A |
Lake City, Florida |
157 |
66.8 |
4.7 |
(57.5--76.0) |
Lakeland-Winter Haven, Florida |
163 |
63.5 |
4.3 |
(55.0--71.9) |
Laredo, Texas |
96 |
N/A |
N/A |
N/A |
Las Cruces, New Mexico |
205 |
58.1 |
3.9 |
(50.4--65.7) |
Las Vegas-Paradise, Nevada |
310 |
64.4 |
3.1 |
(58.3--70.4) |
Lebanon, New Hampshire-Vermont |
441 |
67.1 |
2.4 |
(62.3--71.8) |
Lewiston, Idaho-Washington |
150 |
62.8 |
4.5 |
(53.9--71.6) |
Lincoln, Nebraska |
194 |
82.0 |
3.0 |
(76.1--87.8) |
Little Rock-North Little Rock, Arkansas |
347 |
63.9 |
2.8 |
(58.4--69.3) |
Los Angeles-Long Beach-Glendale, California¶ |
165 |
56.1 |
4.7 |
(46.8--65.3) |
Louisville, Kentucky-Indiana |
246 |
68.2 |
3.3 |
(61.7--74.6) |
Manchester-Nashua, New Hampshire |
345 |
69.9 |
2.7 |
(64.6--75.1) |
McAllen-Edinburg-Mission, Texas |
248 |
57.5 |
3.5 |
(50.6--64.3) |
Memphis, Tennessee-Mississippi-Arkansas |
269 |
55.4 |
4.3 |
(46.9--63.8) |
Miami-Fort Lauderdale-Miami Beach, Florida |
323 |
43.7 |
3.2 |
(37.4--49.9) |
Milwaukee-Waukesha-West Allis, Wisconsin |
336 |
68.7 |
3.9 |
(61.0--76.3) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
661 |
71.0 |
2.0 |
(67.0--74.9) |
Mobile, Alabama |
161 |
62.6 |
4.6 |
(53.5--71.6) |
Montgomery, Alabama |
123 |
N/A |
N/A |
N/A |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
322 |
64.4 |
2.9 |
(58.7--70.0) |
Naples-Marco Island, Florida |
273 |
71.6 |
3.5 |
(64.7--78.4) |
Nashville-Davidson-Murfreesboro, Tennessee |
154 |
65.2 |
4.4 |
(56.5--73.8) |
Nassau-Suffolk, New York¶ |
239 |
65.8 |
3.4 |
(59.1--72.4) |
Newark-Union, New Jersey-Pennsylvania¶ |
553 |
59.2 |
2.8 |
(53.7--64.6) |
New Haven-Milford, Connecticut |
583 |
63.7 |
2.5 |
(58.8--68.6) |
New Orleans-Metairie-Kenner, Louisiana |
263 |
57.5 |
3.6 |
(50.4--64.5) |
New York-White Plains-Wayne, New York-New Jersey¶ |
881 |
57.9 |
2.1 |
(53.7--62.0) |
Nogales, Arizona |
128 |
N/A |
N/A |
N/A |
Norwich-New London, Connecticut |
158 |
68.4 |
4.1 |
(60.3--76.4) |
Ocala, Florida |
247 |
69.8 |
3.3 |
(63.3--76.2) |
Ogden-Clearfield, Utah |
175 |
63.5 |
3.9 |
(55.8--71.1) |
Okeechobee, Florida |
274 |
63.6 |
3.6 |
(56.5--70.6) |
Oklahoma City, Oklahoma |
600 |
76.4 |
1.9 |
(72.6--80.1) |
Olympia, Washington |
465 |
70.0 |
2.3 |
(65.4--74.5) |
Omaha-Council Bluffs, Nebraska-Iowa |
360 |
74.7 |
2.9 |
(69.0--80.3) |
Orlando-Kissimmee, Florida |
745 |
63.6 |
2.6 |
(58.5--68.6) |
Palm Bay-Melbourne-Titusville, Florida |
197 |
69.8 |
3.9 |
(62.1--77.4) |
Palm Coast, Florida |
189 |
69.0 |
3.9 |
(61.3--76.6) |
TABLE 11. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Panama City-Lynn Haven, Florida |
141 |
58.9 |
4.9 |
(49.2--68.5) |
Pensacola-Ferry Pass-Brent, Florida |
253 |
64.0 |
3.4 |
(57.3--70.6) |
Philadelphia, Pennsylvania¶ |
723 |
63.9 |
2.8 |
(58.4--69.3) |
Phoenix-Mesa-Scottsdale, Arizona |
364 |
65.2 |
3.3 |
(58.7--71.6) |
Pittsburgh, Pennsylvania |
888 |
74.8 |
2.4 |
(70.0--79.5) |
Portland-South Portland-Biddeford, Maine |
535 |
67.9 |
2.3 |
(63.3--72.4) |
Portland-Vancouver-Beaverton, Oregon-Washington |
962 |
76.9 |
1.7 |
(73.5--80.2) |
Port St. Lucie-Fort Pierce, Florida |
412 |
57.4 |
3.1 |
(51.3--63.4) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
2,398 |
70.9 |
1.2 |
(68.5--73.2) |
Provo-Orem, Utah |
112 |
72.9 |
4.6 |
(63.8--81.9) |
Raleigh-Cary, North Carolina |
242 |
73.3 |
4.0 |
(65.4--81.1) |
Rapid City, South Dakota |
256 |
71.1 |
3.0 |
(65.2--76.9) |
Reno-Sparks, Nevada |
314 |
73.9 |
2.8 |
(68.4--79.3) |
Richmond, Virginia |
235 |
73.8 |
3.4 |
(67.1--80.4) |
Riverside-San Bernardino-Ontario, California |
180 |
58.5 |
4.7 |
(49.2--67.7) |
Riverton, Wyoming |
143 |
64.5 |
4.3 |
(56.0--72.9) |
Rockingham County-Strafford County, New Hampshire¶ |
374 |
74.4 |
2.5 |
(69.5--79.3) |
Rutland, Vermont |
188 |
70.0 |
3.6 |
(62.9--77.0) |
St. Louis, Missouri-Illinois |
412 |
59.4 |
3.2 |
(53.1--65.6) |
Salt Lake City, Utah |
449 |
70.0 |
2.5 |
(65.1--74.9) |
San Antonio, Texas |
371 |
67.1 |
2.8 |
(61.6--72.5) |
San Diego-Carlsbad-San Marcos, California |
138 |
66.7 |
4.9 |
(57.0--76.3) |
San Francisco-Oakland-Fremont, California |
202 |
60.0 |
4.2 |
(51.7--68.2) |
Santa Fe, New Mexico |
123 |
64.9 |
5.0 |
(55.1--74.7) |
Sarasota-Bradenton-Venice, Florida |
563 |
72.9 |
2.3 |
(68.3--77.4) |
Scranton-Wilkes-Barre, Pennsylvania |
735 |
68.0 |
3.4 |
(61.3--74.6) |
Seaford, Delaware |
410 |
76.5 |
2.4 |
(71.7--81.2) |
Seattle-Bellevue-Everett, Washington¶ |
1,667 |
68.6 |
1.7 |
(65.2--71.9) |
Sebring, Florida |
379 |
67.0 |
3.3 |
(60.5--73.4) |
Sioux City, Iowa-Nebraska-South Dakota |
238 |
N/A |
N/A |
N/A |
Sioux Falls, South Dakota |
239 |
55.4 |
3.5 |
(48.5--62.2) |
Spokane, Washington |
380 |
69.4 |
2.6 |
(64.3--74.4) |
Springfield, Massachusetts |
760 |
74.1 |
2.2 |
(69.7--78.4) |
Tacoma, Washington¶ |
457 |
71.2 |
2.6 |
(66.1--76.2) |
Tallahassee, Florida |
488 |
69.0 |
4.2 |
(60.7--77.2) |
Tampa-St. Petersburg-Clearwater, Florida |
781 |
64.7 |
2.2 |
(60.3--69.0) |
Toledo, Ohio |
274 |
66.0 |
3.4 |
(59.3--72.6) |
Topeka, Kansas |
211 |
73.0 |
3.3 |
(66.5--79.4) |
Tucson, Arizona |
233 |
79.4 |
3.0 |
(73.5--85.2) |
Tulsa, Oklahoma |
628 |
65.8 |
2.3 |
(61.2--70.3) |
Tuscaloosa, Alabama |
134 |
N/A |
N/A |
N/A |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
303 |
72.0 |
3.5 |
(65.1--78.8) |
Warren-Troy-Farmington Hills, Michigan§ |
421 |
61.8 |
2.7 |
(56.5--67.0) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
1,460 |
60.6 |
3.1 |
(54.5--66.6) |
Wauchula, Florida |
204 |
N/A |
N/A |
N/A |
Wenatchee, Washington |
348 |
70.5 |
2.9 |
(64.8--76.1) |
West Palm Beach-Boca Raton-Boynton Beach, Florida§ |
240 |
67.7 |
3.3 |
(61.2--74.1) |
Wichita, Kansas |
399 |
70.5 |
2.5 |
(65.6--75.4) |
Wilmington, Delaware-Maryland-New Jersey¶ |
398 |
68.6 |
2.8 |
(63.1--74.0) |
Wilmington, North Carolina |
210 |
70.0 |
3.6 |
(62.9--77.0) |
Worcester, Massachusetts |
776 |
70.5 |
2.2 |
(66.1--74.8) |
Yakima, Washington |
226 |
69.1 |
3.5 |
(62.2--75.9) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
353 |
65.0 |
3.9 |
(57.3--72.6) |
Yuma, Arizona |
193 |
70.1 |
3.7 |
(62.8--77.3) |
Median |
68.0 |
|||
Range |
43.7--82.8 |
|||
* Standard error. † Confidence interval. § Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. ¶ Metropolitan division. |
TABLE 12. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Marion County, Florida |
247 |
69.8 |
3.3 |
(63.3--76.2) |
Martin County, Florida |
232 |
55.6 |
4.6 |
(46.5--64.6) |
Miami-Dade County, Florida |
173 |
38.6 |
4.2 |
(30.3--46.8) |
Monroe County, Florida |
143 |
54.7 |
5.0 |
(44.9--64.5) |
Nassau County, Florida |
148 |
73.2 |
4.0 |
(65.3--81.0) |
Okeechobee County, Florida |
274 |
63.6 |
3.6 |
(56.5--70.6) |
Orange County, Florida |
169 |
N/A |
N/A |
N/A |
Osceola County, Florida |
176 |
61.6 |
4.4 |
(52.9--70.2) |
Palm Beach County, Florida |
240 |
67.7 |
3.3 |
(61.2--74.1) |
Pasco County, Florida |
214 |
69.6 |
3.5 |
(62.7--76.4) |
Pinellas County, Florida |
197 |
66.9 |
3.7 |
(59.6--74.1) |
Polk County, Florida |
163 |
63.5 |
4.3 |
(55.0--71.9) |
St. Johns County, Florida |
161 |
70.2 |
4.1 |
(62.1--78.2) |
St. Lucie County, Florida |
180 |
58.5 |
4.2 |
(50.2--66.7) |
Santa Rosa County, Florida |
107 |
N/A |
N/A |
N/A |
Sarasota County, Florida |
353 |
70.4 |
3.3 |
(63.9--76.8) |
Seminole County, Florida |
129 |
59.2 |
5.0 |
(49.4--69.0) |
Volusia County, Florida |
188 |
63.3 |
3.9 |
(55.6--70.9) |
Wakulla County, Florida |
127 |
N/A |
N/A |
N/A |
Clayton County, Georgia |
70 |
N/A |
N/A |
N/A |
Cobb County, Georgia |
104 |
79.0 |
4.3 |
(70.5--87.4) |
DeKalb County, Georgia |
103 |
N/A |
N/A |
N/A |
Fulton County, Georgia |
107 |
72.6 |
4.7 |
(63.3--81.8) |
Gwinnett County, Georgia |
52 |
N/A |
N/A |
N/A |
Hawaii County, Hawaii |
346 |
67.5 |
2.9 |
(61.8--73.1) |
Honolulu County, Hawaii |
673 |
68.3 |
2.1 |
(64.1--72.4) |
Kauai County, Hawaii |
139 |
65.1 |
4.7 |
(55.8--74.3) |
Maui County, Hawaii |
307 |
63.0 |
3.8 |
(55.5--70.4) |
Ada County, Idaho |
139 |
74.1 |
4.1 |
(66.0--82.1) |
Bonneville County, Idaho |
89 |
N/A |
N/A |
N/A |
Canyon County, Idaho |
121 |
69.8 |
4.3 |
(61.3--78.2) |
Nez Perce County, Idaho |
81 |
N/A |
N/A |
N/A |
Cook County, Illinois |
442 |
58.1 |
2.7 |
(52.8--63.3) |
DuPage County, Illinois |
102 |
69.8 |
4.9 |
(60.1--79.4) |
Lake County, Illinois |
55 |
N/A |
N/A |
N/A |
Lake County, Indiana |
121 |
N/A |
N/A |
N/A |
Marion County, Indiana |
268 |
66.0 |
4.0 |
(58.1--73.8) |
Polk County, Iowa |
177 |
75.1 |
3.6 |
(68.0--82.1) |
Johnson County, Kansas |
366 |
74.7 |
2.6 |
(69.6--79.7) |
Sedgwick County, Kansas |
292 |
68.7 |
2.9 |
(63.0--74.3) |
Shawnee County, Kansas |
155 |
73.3 |
3.8 |
(65.8--80.7) |
Wyandotte County, Kansas |
96 |
N/A |
N/A |
N/A |
Jefferson County, Kentucky |
151 |
72.1 |
3.8 |
(64.6--79.5) |
Calcasieu Parish, Louisiana |
118 |
N/A |
N/A |
N/A |
East Baton Rouge Parish, Louisiana |
105 |
74.1 |
4.6 |
(65.0--83.1) |
Jefferson Parish, Louisiana |
101 |
N/A |
N/A |
N/A |
Orleans Parish, Louisiana |
55 |
N/A |
N/A |
N/A |
St. Tammany Parish, Louisiana |
69 |
N/A |
N/A |
N/A |
Cumberland County, Maine |
275 |
75.4 |
3.3 |
(68.9--81.8) |
Kennebec County, Maine |
114 |
70.2 |
4.6 |
(61.1--79.2) |
Penobscot County, Maine |
142 |
82.8 |
3.4 |
(76.1--89.4) |
Sagadahoc County, Maine |
64 |
N/A |
N/A |
N/A |
York County, Maine |
196 |
58.6 |
3.9 |
(50.9--66.2) |
Anne Arundel County, Maryland |
126 |
65.9 |
4.9 |
(56.2--75.5) |
Baltimore County, Maryland |
307 |
63.7 |
3.2 |
(57.4--69.9) |
Charles County, Maryland |
56 |
N/A |
N/A |
N/A |
Frederick County, Maryland |
106 |
79.3 |
4.7 |
(70.0--88.5) |
Harford County, Maryland |
73 |
N/A |
N/A |
N/A |
Howard County, Maryland |
60 |
N/A |
N/A |
N/A |
Montgomery County, Maryland |
299 |
69.9 |
3.0 |
(64.0--75.7) |
Prince George´s County, Maryland |
122 |
N/A |
N/A |
N/A |
Queen Anne´s County, Maryland |
81 |
N/A |
N/A |
N/A |
Washington County, Maryland |
147 |
73.0 |
4.2 |
(64.7--81.2) |
TABLE 12. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Baltimore City, Maryland |
132 |
66.8 |
4.6 |
(57.7--75.8) |
Barnstable County, Massachusetts |
233 |
72.1 |
3.2 |
(65.8--78.3) |
Bristol County, Massachusetts |
1,078 |
68.9 |
2.3 |
(64.3--73.4) |
Essex County, Massachusetts |
845 |
67.7 |
2.4 |
(62.9--72.4) |
Hampden County, Massachusetts |
614 |
73.2 |
2.7 |
(67.9--78.4) |
Hampshire County, Massachusetts |
96 |
76.8 |
4.8 |
(67.3--86.2) |
Middlesex County, Massachusetts |
1,044 |
74.4 |
1.7 |
(71.0--77.7) |
Norfolk County, Massachusetts |
380 |
69.7 |
2.7 |
(64.4--74.9) |
Plymouth County, Massachusetts |
252 |
73.2 |
3.0 |
(67.3--79.0) |
Suffolk County, Massachusetts |
565 |
62.5 |
2.6 |
(57.4--67.5) |
Worcester County, Massachusetts |
776 |
70.5 |
2.2 |
(66.1--74.8) |
Kent County, Michigan |
90 |
77.7 |
4.9 |
(68.0--87.3) |
Macomb County, Michigan |
118 |
65.8 |
5.0 |
(56.0--75.6) |
Oakland County, Michigan |
230 |
60.3 |
3.7 |
(53.0--67.5) |
Wayne County, Michigan |
455 |
59.0 |
3.1 |
(52.9--65.0) |
Anoka County, Minnesota |
56 |
N/A |
N/A |
N/A |
Dakota County, Minnesota |
76 |
78.1 |
5.1 |
(68.1--88.0) |
Hennepin County, Minnesota |
262 |
66.7 |
3.2 |
(60.4--72.9) |
Ramsey County, Minnesota |
107 |
75.8 |
4.5 |
(66.9--84.6) |
DeSoto County, Mississippi |
70 |
N/A |
N/A |
N/A |
Harrison County, Mississippi |
125 |
65.5 |
5.0 |
(55.7--75.3) |
Hinds County, Mississippi |
149 |
68.1 |
4.5 |
(59.2--76.9) |
Rankin County, Mississippi |
73 |
N/A |
N/A |
N/A |
Jackson County, Missouri |
124 |
65.0 |
4.8 |
(55.5--74.4) |
St. Louis County, Missouri |
121 |
N/A |
N/A |
N/A |
St. Louis City, Missouri |
103 |
N/A |
N/A |
N/A |
Flathead County, Montana |
128 |
69.5 |
4.7 |
(60.2--78.7) |
Yellowstone County, Montana |
133 |
78.9 |
3.7 |
(71.6--86.1) |
Dakota County, Nebraska |
133 |
60.1 |
4.9 |
(50.4--69.7) |
Douglas County, Nebraska |
141 |
77.9 |
4.0 |
(70.0--85.7) |
Hall County, Nebraska |
109 |
64.7 |
5.0 |
(54.9--74.5) |
Lancaster County, Nebraska |
140 |
84.9 |
3.2 |
(78.6--91.1) |
Sarpy County, Nebraska |
81 |
N/A |
N/A |
N/A |
Clark County, Nevada |
310 |
64.4 |
3.1 |
(58.3--70.4) |
Washoe County, Nevada |
307 |
74.0 |
2.8 |
(68.5--79.4) |
Grafton County, New Hampshire |
146 |
70.4 |
4.1 |
(62.3--78.4) |
Hillsborough County, New Hampshire |
345 |
69.9 |
2.7 |
(64.6--75.1) |
Merrimack County, New Hampshire |
170 |
63.9 |
4.3 |
(55.4--72.3) |
Rockingham County, New Hampshire |
221 |
72.9 |
3.2 |
(66.6--79.1) |
Strafford County, New Hampshire |
153 |
77.7 |
3.5 |
(70.8--84.5) |
Bergen County, New Jersey |
125 |
N/A |
N/A |
N/A |
Burlington County, New Jersey |
108 |
68.9 |
5.0 |
(59.1--78.7) |
Camden County, New Jersey |
106 |
N/A |
N/A |
N/A |
Essex County, New Jersey |
141 |
56.1 |
5.0 |
(46.3--65.9) |
Gloucester County, New Jersey |
101 |
N/A |
N/A |
N/A |
Hudson County, New Jersey |
150 |
N/A |
N/A |
N/A |
Hunterdon County, New Jersey |
98 |
69.8 |
5.1 |
(59.8--79.7) |
Middlesex County, New Jersey |
115 |
65.6 |
5.0 |
(55.8--75.4) |
Monmouth County, New Jersey |
97 |
N/A |
N/A |
N/A |
Morris County, New Jersey |
129 |
63.5 |
5.0 |
(53.7--73.3) |
Ocean County, New Jersey |
150 |
71.2 |
4.2 |
(62.9--79.4) |
Passaic County, New Jersey |
81 |
N/A |
N/A |
N/A |
Somerset County, New Jersey |
101 |
N/A |
N/A |
N/A |
Sussex County, New Jersey |
88 |
N/A |
N/A |
N/A |
Union County, New Jersey |
93 |
N/A |
N/A |
N/A |
Warren County, New Jersey |
108 |
67.7 |
5.1 |
(57.7--77.6) |
Bernalillo County, New Mexico |
277 |
65.0 |
3.3 |
(58.5--71.4) |
Dona Ana County, New Mexico |
205 |
58.1 |
3.9 |
(50.4--65.7) |
Sandoval County, New Mexico |
117 |
73.1 |
4.6 |
(64.0--82.1) |
San Juan County, New Mexico |
134 |
N/A |
N/A |
N/A |
Santa Fe County, New Mexico |
123 |
64.9 |
5.0 |
(55.1--74.7) |
Valencia County, New Mexico |
66 |
N/A |
N/A |
N/A |
Erie County, New York |
100 |
68.0 |
5.0 |
(58.2--77.8) |
TABLE 12. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Kings County, New York |
90 |
N/A |
N/A |
N/A |
Nassau County, New York |
119 |
64.3 |
5.1 |
(54.3--74.2) |
New York County, New York |
155 |
67.3 |
4.5 |
(58.4--76.1) |
Queens County, New York |
95 |
N/A |
N/A |
N/A |
Suffolk County, New York |
120 |
67.2 |
4.7 |
(57.9--76.4) |
Westchester County, New York |
76 |
N/A |
N/A |
N/A |
Buncombe County, North Carolina |
120 |
78.5 |
3.9 |
(70.8--86.1) |
Cabarrus County, North Carolina |
93 |
N/A |
N/A |
N/A |
Catawba County, North Carolina |
114 |
72.2 |
4.8 |
(62.7--81.6) |
Cumberland County, North Carolina |
88 |
N/A |
N/A |
N/A |
Durham County, North Carolina |
91 |
N/A |
N/A |
N/A |
Gaston County, North Carolina |
113 |
79.0 |
4.3 |
(70.5--87.4) |
Guilford County, North Carolina |
108 |
N/A |
N/A |
N/A |
Henderson County, North Carolina |
124 |
62.9 |
4.6 |
(53.8--71.9) |
Johnston County, North Carolina |
97 |
N/A |
N/A |
N/A |
Mecklenburg County, North Carolina |
153 |
73.3 |
4.0 |
(65.4--81.1) |
New Hanover County, North Carolina |
118 |
68.2 |
4.8 |
(58.7--77.6) |
Orange County, North Carolina |
79 |
N/A |
N/A |
N/A |
Randolph County, North Carolina |
106 |
N/A |
N/A |
N/A |
Union County, North Carolina |
97 |
N/A |
N/A |
N/A |
Wake County, North Carolina |
131 |
76.6 |
4.4 |
(67.9--85.2) |
Burleigh County, North Dakota |
121 |
67.0 |
4.7 |
(57.7--76.2) |
Cass County, North Dakota |
156 |
68.4 |
4.0 |
(60.5--76.2) |
Cuyahoga County, Ohio |
240 |
75.5 |
2.9 |
(69.8--81.1) |
Franklin County, Ohio |
191 |
68.3 |
3.8 |
(60.8--75.7) |
Hamilton County, Ohio |
237 |
66.5 |
3.6 |
(59.4--73.5) |
Licking County, Ohio |
73 |
N/A |
N/A |
N/A |
Lucas County, Ohio |
217 |
67.3 |
3.7 |
(60.0--74.5) |
Mahoning County, Ohio |
273 |
56.4 |
3.5 |
(49.5--63.2) |
Montgomery County, Ohio |
235 |
70.5 |
3.3 |
(64.0--76.9) |
Stark County, Ohio |
245 |
70.5 |
3.2 |
(64.2--76.7) |
Summit County, Ohio |
235 |
74.4 |
3.1 |
(68.3--80.4) |
Canadian County, Oklahoma |
60 |
80.9 |
5.1 |
(70.9--90.8) |
Cleveland County, Oklahoma |
100 |
73.4 |
4.8 |
(63.9--82.8) |
Oklahoma County, Oklahoma |
350 |
75.3 |
2.6 |
(70.2--80.3) |
Tulsa County, Oklahoma |
460 |
65.9 |
2.7 |
(60.6--71.1) |
Clackamas County, Oregon |
114 |
74.5 |
4.3 |
(66.0--82.9) |
Multnomah County, Oregon |
188 |
76.1 |
3.5 |
(69.2--82.9) |
Washington County, Oregon |
125 |
81.5 |
3.9 |
(73.8--89.1) |
Allegheny County, Pennsylvania |
196 |
79.1 |
3.3 |
(72.6--85.5) |
Delaware County, Pennsylvania |
71 |
N/A |
N/A |
N/A |
Fayette County, Pennsylvania |
469 |
67.3 |
3.1 |
(61.2--73.3) |
Luzerne County, Pennsylvania |
693 |
63.3 |
4.0 |
(55.4--71.1) |
Montgomery County, Pennsylvania |
102 |
71.3 |
5.1 |
(61.3--81.2) |
Philadelphia County, Pennsylvania |
438 |
59.6 |
4.9 |
(49.9--69.2) |
Westmoreland County, Pennsylvania |
102 |
N/A |
N/A |
N/A |
Kent County, Rhode Island |
197 |
76.1 |
3.4 |
(69.4--82.7) |
Newport County, Rhode Island |
118 |
74.3 |
4.2 |
(66.0--82.5) |
Providence County, Rhode Island |
790 |
71.9 |
1.8 |
(68.3--75.4) |
Washington County, Rhode Island |
143 |
63.8 |
4.4 |
(55.1--72.4) |
Aiken County, South Carolina |
181 |
68.7 |
3.7 |
(61.4--75.9) |
Beaufort County, South Carolina |
311 |
67.2 |
2.8 |
(61.7--72.6) |
Berkeley County, South Carolina |
73 |
N/A |
N/A |
N/A |
Charleston County, South Carolina |
177 |
61.0 |
4.2 |
(52.7--69.2) |
Dorchester County, South Carolina |
56 |
N/A |
N/A |
N/A |
Greenville County, South Carolina |
154 |
70.5 |
4.1 |
(62.4--78.5) |
Horry County, South Carolina |
322 |
64.4 |
2.9 |
(58.7--70.0) |
Lexington County, South Carolina |
75 |
N/A |
N/A |
N/A |
Richland County, South Carolina |
87 |
N/A |
N/A |
N/A |
York County, South Carolina |
68 |
N/A |
N/A |
N/A |
Minnehaha County, South Dakota |
174 |
57.4 |
4.1 |
(49.3--65.4) |
Pennington County, South Dakota |
207 |
71.4 |
3.4 |
(64.7--78.0) |
Davidson County, Tennessee |
83 |
N/A |
N/A |
N/A |
TABLE 12. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Hamilton County, Tennessee |
214 |
67.2 |
3.5 |
(60.3--74.0) |
Shelby County, Tennessee |
82 |
N/A |
N/A |
N/A |
Sullivan County, Tennessee |
146 |
67.7 |
4.1 |
(59.6--75.7) |
Bexar County, Texas |
271 |
70.2 |
3.1 |
(64.1--76.2) |
Cameron County, Texas |
157 |
51.8 |
4.9 |
(42.1--61.4) |
Collin County, Texas |
67 |
N/A |
N/A |
N/A |
Dallas County, Texas |
232 |
70.3 |
3.3 |
(63.8--76.7) |
Denton County, Texas |
36 |
N/A |
N/A |
N/A |
El Paso County, Texas |
354 |
60.5 |
2.9 |
(54.8--66.1) |
Harris County, Texas |
214 |
60.6 |
4.0 |
(52.7--68.4) |
Hidalgo County, Texas |
248 |
57.5 |
3.5 |
(50.6--64.3) |
Tarrant County, Texas |
273 |
66.8 |
3.1 |
(60.7--72.8) |
Travis County, Texas |
185 |
68.6 |
3.8 |
(61.1--76.0) |
Webb County, Texas |
96 |
N/A |
N/A |
N/A |
Williamson County, Texas |
91 |
N/A |
N/A |
N/A |
Davis County, Utah |
81 |
N/A |
N/A |
N/A |
Salt Lake County, Utah |
369 |
70.2 |
2.6 |
(65.1--75.2) |
Tooele County, Utah |
48 |
N/A |
N/A |
N/A |
Utah County, Utah |
102 |
72.4 |
4.8 |
(62.9--81.8) |
Weber County, Utah |
89 |
N/A |
N/A |
N/A |
Chittenden County, Vermont |
323 |
70.9 |
2.9 |
(65.2--76.5) |
Franklin County, Vermont |
110 |
57.8 |
5.1 |
(47.8--67.7) |
Orange County, Vermont |
103 |
N/A |
N/A |
N/A |
Rutland County, Vermont |
188 |
70.0 |
3.6 |
(62.9--77.0) |
Washington County, Vermont |
166 |
71.0 |
3.7 |
(63.7--78.2) |
Windsor County, Vermont |
192 |
65.2 |
3.8 |
(57.7--72.6) |
Arlington County, Virginia |
56 |
N/A |
N/A |
N/A |
Fairfax County, Virginia |
56 |
N/A |
N/A |
N/A |
Prince William County, Virginia |
36 |
N/A |
N/A |
N/A |
Alexandria city, Virginia |
47 |
N/A |
N/A |
N/A |
Benton County, Washington |
115 |
77.3 |
4.4 |
(68.6--85.9) |
Chelan County, Washington |
178 |
69.1 |
3.8 |
(61.6--76.5) |
Clark County, Washington |
416 |
76.0 |
2.4 |
(71.2--80.7) |
Douglas County, Washington |
170 |
73.6 |
3.7 |
(66.3--80.8) |
King County, Washington |
1,016 |
70.0 |
1.6 |
(66.8--73.1) |
Kitsap County, Washington |
228 |
65.7 |
3.5 |
(58.8--72.5) |
Pierce County, Washington |
457 |
72.2 |
2.3 |
(67.6--76.7) |
Snohomish County, Washington |
651 |
72.2 |
2.0 |
(68.2--76.1) |
Spokane County, Washington |
380 |
69.4 |
2.6 |
(64.3--74.4) |
Thurston County, Washington |
465 |
70.0 |
2.3 |
(65.4--74.5) |
Whatcom County, Washington |
295 |
70.1 |
2.9 |
(64.4--75.7) |
Yakima County, Washington |
226 |
69.1 |
3.5 |
(62.2--75.9) |
Kanawha County, West Virginia |
156 |
68.7 |
4.4 |
(60.0--77.3) |
Milwaukee County, Wisconsin |
246 |
63.1 |
5.1 |
(53.1--73.0) |
Fremont County, Wyoming |
143 |
64.5 |
4.3 |
(56.0--72.9) |
Laramie County, Wyoming |
239 |
71.3 |
3.2 |
(65.0--77.5) |
Natrona County, Wyoming |
221 |
75.7 |
3.2 |
(69.4--81.9) |
Median |
69.0 |
|||
Range |
38.6--86.7 |
|||
* Standard error. † Confidence interval. § Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 14. (Continued) Estimated prevalence of adults aged ≥18 years who had their blood cholesterol checked during the preceding 5 years, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Grand Island, Nebraska |
553 |
71.8 |
2.8 |
(66.3--77.2) |
Grand Rapids-Wyoming, Michigan |
488 |
77.3 |
2.7 |
(72.0--82.5) |
Greeley, Colorado |
528 |
66.7 |
3.0 |
(60.8--72.5) |
Greensboro-High Point, North Carolina |
795 |
76.9 |
3.0 |
(71.0--82.7) |
Greenville, South Carolina |
854 |
79.0 |
2.3 |
(74.4--83.5) |
Gulfport-Biloxi, Mississippi |
492 |
70.6 |
2.9 |
(64.9--76.2) |
Hagerstown-Martinsburg, Maryland-West Virginia |
698 |
78.2 |
2.4 |
(73.4--82.9) |
Hartford-West Hartford-East Hartford, Connecticut |
2,316 |
81.5 |
1.5 |
(78.5--84.4) |
Hickory-Morganton-Lenoir, North Carolina |
838 |
80.6 |
2.3 |
(76.0--85.1) |
Hilo, Hawaii |
1,488 |
72.6 |
1.6 |
(69.4--75.7) |
Hilton Head Island-Beaufort, South Carolina |
913 |
82.4 |
2.5 |
(77.5--87.3) |
Homosassa Springs, Florida |
573 |
79.9 |
2.8 |
(74.4--85.3) |
Honolulu, Hawaii |
2,853 |
75.7 |
1.1 |
(73.5--77.8) |
Houston-Sugar Land-Baytown, Texas |
1,527 |
71.9 |
2.0 |
(67.9--75.8) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
586 |
76.2 |
3.0 |
(70.3--82.0) |
Idaho Falls, Idaho |
483 |
67.7 |
2.7 |
(62.4--72.9) |
Indianapolis-Carmel, Indiana |
1,543 |
78.6 |
1.6 |
(75.4--81.7) |
Jackson, Mississippi |
1,132 |
77.5 |
1.9 |
(73.7--81.2) |
Jacksonville, Florida |
3,923 |
79.2 |
1.1 |
(77.0--81.3) |
Kahului-Wailuku, Hawaii |
1,465 |
73.1 |
2.1 |
(68.9--77.2) |
Kalispell, Montana |
543 |
65.6 |
2.6 |
(60.5--70.6) |
Kansas City, Missouri-Kansas |
3,278 |
75.6 |
1.4 |
(72.8--78.3) |
Kapaa, Hawaii |
643 |
72.1 |
2.4 |
(67.3--76.8) |
Kennewick-Richland-Pasco, Washington |
663 |
69.3 |
2.9 |
(63.6--74.9) |
Key West-Marathon, Florida |
502 |
79.9 |
2.7 |
(74.6--85.1) |
Kingsport-Bristol, Tennessee-Virginia |
589 |
76.9 |
2.6 |
(71.8--81.9) |
Lake Charles, Louisiana |
527 |
76.1 |
2.9 |
(70.4--81.7) |
Lake City, Florida |
575 |
74.0 |
3.7 |
(66.7--81.2) |
Lakeland-Winter Haven, Florida |
510 |
78.7 |
2.4 |
(73.9--83.4) |
Laredo, Texas |
500 |
59.1 |
3.0 |
(53.2--64.9) |
Las Cruces, New Mexico |
700 |
66.4 |
2.6 |
(61.3--71.4) |
Las Vegas-Paradise, Nevada |
1,324 |
70.8 |
1.7 |
(67.4--74.1) |
Lebanon, New Hampshire-Vermont |
1,564 |
74.0 |
1.9 |
(70.2--77.7) |
Lewiston, Idaho-Washington |
500 |
71.5 |
2.7 |
(66.2--76.7) |
Lincoln, Nebraska |
691 |
76.5 |
2.9 |
(70.8--82.1) |
Little Rock-North Little Rock, Arkansas |
1,216 |
71.3 |
1.9 |
(67.5--75.0) |
Los Angeles-Long Beach-Glendale, California§ |
862 |
76.5 |
2.0 |
(72.5--80.4) |
Louisville, Kentucky-Indiana |
840 |
76.6 |
2.2 |
(72.2--80.9) |
Manchester-Nashua, New Hampshire |
1,414 |
82.0 |
1.5 |
(79.0--84.9) |
McAllen-Edinburg-Mission, Texas |
944 |
59.4 |
2.4 |
(54.6--64.1) |
Memphis, Tennessee-Mississippi-Arkansas |
965 |
81.3 |
2.4 |
(76.5--86.0) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,137 |
74.3 |
1.9 |
(70.5--78.0) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,513 |
77.7 |
1.9 |
(73.9--81.4) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,717 |
77.5 |
1.4 |
(74.7--80.2) |
Mobile, Alabama |
555 |
72.9 |
2.9 |
(67.2--78.5) |
Montgomery, Alabama |
496 |
86.0 |
2.5 |
(81.1--90.9) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
888 |
77.4 |
2.1 |
(73.2--81.5) |
Naples-Marco Island, Florida |
802 |
73.3 |
2.8 |
(67.8--78.7) |
Nashville-Davidson-Murfreesboro, Tennessee |
598 |
76.7 |
2.7 |
(71.4--81.9) |
Nassau-Suffolk, New York§ |
801 |
85.6 |
1.9 |
(81.8--89.3) |
Newark-Union, New Jersey-Pennsylvania§ |
1,974 |
79.4 |
1.7 |
(76.0--82.7) |
New Haven-Milford, Connecticut |
1,745 |
80.4 |
1.8 |
(76.8--83.9) |
New Orleans-Metairie-Kenner, Louisiana |
1,206 |
78.9 |
1.7 |
(75.5--82.2) |
New York-White Plains-Wayne, New York-New Jersey§ |
3,320 |
80.5 |
1.1 |
(78.3--82.6) |
Nogales, Arizona |
512 |
66.8 |
4.5 |
(57.9--75.6) |
Norwich-New London, Connecticut |
493 |
85.4 |
2.3 |
(80.8--89.9) |
Ocala, Florida |
613 |
77.8 |
2.9 |
(72.1--83.4) |
Ogden-Clearfield, Utah |
820 |
71.0 |
2.1 |
(66.8--75.1) |
Okeechobee, Florida |
710 |
64.0 |
3.4 |
(57.3--70.6) |
Oklahoma City, Oklahoma |
2,197 |
70.6 |
1.3 |
(68.0--73.1) |
Olympia, Washington |
1,810 |
74.8 |
1.5 |
(71.8--77.7) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,513 |
74.5 |
1.9 |
(70.7--78.2) |
Orlando-Kissimmee, Florida |
2,646 |
79.1 |
1.6 |
(75.9--82.2) |
Palm Bay-Melbourne-Titusville, Florida |
545 |
81.1 |
2.7 |
(75.8--86.3) |
TABLE 14. (Continued) Estimated prevalence of adults aged ≥18 years who had their blood cholesterol checked during the preceding 5 years, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Palm Coast, Florida |
529 |
84.4 |
2.3 |
(79.8--88.9) |
Panama City-Lynn Haven, Florida |
524 |
75.6 |
2.9 |
(69.9--81.2) |
Pensacola-Ferry Pass-Brent, Florida |
1,011 |
78.3 |
1.8 |
(74.7--81.8) |
Philadelphia, Pennsylvania§ |
2,804 |
80.2 |
1.6 |
(77.0--83.3) |
Phoenix-Mesa-Scottsdale, Arizona |
1,258 |
70.4 |
2.3 |
(65.8--74.9) |
Pittsburgh, Pennsylvania |
2,861 |
78.0 |
1.8 |
(74.4--81.5) |
Portland-South Portland-Biddeford, Maine |
2,043 |
83.2 |
1.2 |
(80.8--85.5) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,856 |
72.0 |
1.3 |
(69.4--74.5) |
Port St. Lucie-Fort Pierce, Florida |
1,055 |
79.1 |
2.1 |
(74.9--83.2) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
7,965 |
82.6 |
0.8 |
(81.0--84.1) |
Provo-Orem, Utah |
559 |
59.6 |
3.0 |
(53.7--65.4) |
Raleigh-Cary, North Carolina |
1,057 |
80.4 |
2.0 |
(76.4--84.3) |
Rapid City, South Dakota |
957 |
75.4 |
2.0 |
(71.4--79.3) |
Reno-Sparks, Nevada |
1,349 |
70.3 |
1.6 |
(67.1--73.4) |
Richmond, Virginia |
844 |
77.8 |
2.3 |
(73.2--82.3) |
Riverside-San Bernardino-Ontario, California |
673 |
69.9 |
2.6 |
(64.8--74.9) |
Riverton, Wyoming |
492 |
70.5 |
3.2 |
(64.2--76.7) |
Rockingham County-Strafford County, New Hampshire§ |
1,584 |
82.3 |
1.5 |
(79.3--85.2) |
Rutland, Vermont |
665 |
76.2 |
2.3 |
(71.6--80.7) |
St. Louis, Missouri-Illinois |
1,538 |
77.5 |
1.9 |
(73.7--81.2) |
Salt Lake City, Utah |
2,074 |
66.7 |
1.6 |
(63.5--69.8) |
San Antonio, Texas |
1,402 |
73.6 |
1.9 |
(69.8--77.3) |
San Diego-Carlsbad-San Marcos, California |
509 |
73.2 |
2.9 |
(67.5--78.8) |
San Francisco-Oakland-Fremont, California |
773 |
77.9 |
2.2 |
(73.5--82.2) |
Santa Fe, New Mexico |
513 |
73.7 |
2.8 |
(68.2--79.1) |
Sarasota-Bradenton-Venice, Florida |
1,314 |
79.1 |
2.0 |
(75.1--83.0) |
Scranton-Wilkes-Barre, Pennsylvania |
2,455 |
80.3 |
2.4 |
(75.5--85.0) |
Seaford, Delaware |
1,215 |
84.4 |
1.6 |
(81.2--87.5) |
Seattle-Bellevue-Everett, Washington§ |
6,999 |
75.3 |
0.8 |
(73.7--76.8) |
Sebring, Florida |
754 |
75.0 |
3.1 |
(68.9--81.0) |
Sioux City, Iowa-Nebraska-South Dakota |
861 |
69.1 |
3.4 |
(62.4--75.7) |
Sioux Falls, South Dakota |
944 |
74.1 |
1.9 |
(70.3--77.8) |
Spokane, Washington |
1,344 |
70.5 |
2.0 |
(66.5--74.4) |
Springfield, Massachusetts |
2,518 |
79.9 |
1.7 |
(76.5--83.2) |
Tacoma, Washington§ |
1,837 |
75.8 |
1.5 |
(72.8--78.7) |
Tallahassee, Florida |
2,052 |
73.6 |
3.1 |
(67.5--79.6) |
Tampa-St. Petersburg-Clearwater, Florida |
2,135 |
80.3 |
1.6 |
(77.1--83.4) |
Toledo, Ohio |
959 |
73.5 |
2.5 |
(68.6--78.4) |
Topeka, Kansas |
759 |
79.6 |
2.1 |
(75.4--83.7) |
Tucson, Arizona |
727 |
76.3 |
2.5 |
(71.4--81.2) |
Tulsa, Oklahoma |
2,023 |
72.7 |
1.5 |
(69.7--75.6) |
Tuscaloosa, Alabama |
514 |
77.3 |
3.1 |
(71.2--83.3) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,135 |
80.5 |
2.3 |
(75.9--85.0) |
Warren-Troy-Farmington Hills, Michigan§ |
1,470 |
81.8 |
1.6 |
(78.6--84.9) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia§ |
6,636 |
80.1 |
1.4 |
(77.3--82.8) |
Wauchula, Florida |
675 |
N/A¶ |
N/A |
N/A |
Wenatchee, Washington |
1,043 |
70.8 |
2.2 |
(66.4--75.1) |
West Palm Beach-Boca Raton-Boynton Beach, Florida§ |
540 |
79.4 |
2.9 |
(73.7--85.0) |
Wichita, Kansas |
1,523 |
70.7 |
1.7 |
(67.3--74.0) |
Wilmington, Delaware-Maryland-New Jersey§ |
1,745 |
79.2 |
1.7 |
(75.8--82.5) |
Wilmington, North Carolina |
592 |
81.3 |
2.8 |
(75.8--86.7) |
Worcester, Massachusetts |
2,689 |
82.0 |
1.3 |
(79.4--84.5) |
Yakima, Washington |
727 |
61.7 |
2.6 |
(56.6--66.7) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,019 |
74.2 |
3.0 |
(68.3--80.0) |
Yuma, Arizona |
549 |
69.9 |
2.6 |
(64.8--74.9) |
Median |
76.5 |
|||
Range |
57.6--89.8 |
|||
* Standard error. † Confidence interval. § Metropolitan division. ¶ Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 15. (Continued) Estimated prevalence of adults aged ≥18 years who had their blood cholesterol checked during the preceding 5 years, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Marion County, Florida |
613 |
77.8 |
2.9 |
(72.1--83.4) |
Martin County, Florida |
532 |
79.6 |
3.0 |
(73.7--85.4) |
Miami-Dade County, Florida |
590 |
72.5 |
2.6 |
(67.4--77.5) |
Monroe County, Florida |
502 |
79.9 |
2.7 |
(74.6--85.1) |
Nassau County, Florida |
529 |
81.9 |
2.4 |
(77.1--86.6) |
Okeechobee County, Florida |
710 |
64.0 |
3.4 |
(57.3--70.6) |
Orange County, Florida |
813 |
78.9 |
2.6 |
(73.8--83.9) |
Osceola County, Florida |
704 |
72.2 |
2.8 |
(66.7--77.6) |
Palm Beach County, Florida |
540 |
79.4 |
2.9 |
(73.7--85.0) |
Pasco County, Florida |
539 |
81.0 |
2.5 |
(76.1--85.9) |
Pinellas County, Florida |
531 |
86.4 |
2.2 |
(82.0--90.7) |
Polk County, Florida |
510 |
78.7 |
2.4 |
(73.9--83.4) |
St. Johns County, Florida |
554 |
81.2 |
2.5 |
(76.3--86.1) |
St. Lucie County, Florida |
523 |
79.9 |
2.6 |
(74.8--84.9) |
Santa Rosa County, Florida |
491 |
76.3 |
2.6 |
(71.2--81.3) |
Sarasota County, Florida |
818 |
80.1 |
2.6 |
(75.0--85.1) |
Seminole County, Florida |
525 |
86.2 |
2.1 |
(82.0--90.3) |
Volusia County, Florida |
497 |
80.1 |
2.6 |
(75.0--85.1) |
Wakulla County, Florida |
536 |
77.4 |
3.4 |
(70.7--84.0) |
Clayton County, Georgia |
337 |
86.8 |
3.4 |
(80.1--93.4) |
Cobb County, Georgia |
403 |
85.4 |
2.5 |
(80.5--90.3) |
DeKalb County, Georgia |
418 |
85.9 |
2.6 |
(80.8--90.9) |
Fulton County, Georgia |
400 |
78.7 |
3.4 |
(72.0--85.3) |
Gwinnett County, Georgia |
310 |
74.2 |
3.6 |
(67.1--81.2) |
Hawaii County, Hawaii |
1,488 |
72.6 |
1.6 |
(69.4--75.7) |
Honolulu County, Hawaii |
2,853 |
75.7 |
1.1 |
(73.5--77.8) |
Kauai County, Hawaii |
643 |
72.1 |
2.4 |
(67.3--76.8) |
Maui County, Hawaii |
1,465 |
73.1 |
2.1 |
(68.9--77.2) |
Ada County, Idaho |
635 |
71.8 |
2.6 |
(66.7--76.8) |
Bonneville County, Idaho |
376 |
68.9 |
3.0 |
(63.0--74.7) |
Canyon County, Idaho |
478 |
63.2 |
2.8 |
(57.7--68.6) |
Nez Perce County, Idaho |
261 |
73.8 |
3.5 |
(66.9--80.6) |
Cook County, Illinois |
1,640 |
75.5 |
1.6 |
(72.3--78.6) |
DuPage County, Illinois |
376 |
74.1 |
3.3 |
(67.6--80.5) |
Lake County, Illinois |
288 |
80.8 |
3.1 |
(74.7--86.8) |
Lake County, Indiana |
557 |
72.4 |
3.8 |
(64.9--79.8) |
Marion County, Indiana |
1,100 |
77.0 |
2.0 |
(73.0--80.9) |
Polk County, Iowa |
697 |
73.6 |
2.2 |
(69.2--77.9) |
Johnson County, Kansas |
1,509 |
81.2 |
1.4 |
(78.4--83.9) |
Sedgwick County, Kansas |
1,145 |
71.1 |
1.9 |
(67.3--74.8) |
Shawnee County, Kansas |
534 |
81.4 |
2.4 |
(76.6--86.1) |
Wyandotte County, Kansas |
330 |
71.9 |
3.5 |
(65.0--78.7) |
Jefferson County, Kentucky |
463 |
73.9 |
2.8 |
(68.4--79.3) |
Calcasieu Parish, Louisiana |
506 |
75.9 |
3.0 |
(70.0--81.7) |
East Baton Rouge Parish, Louisiana |
494 |
70.8 |
2.9 |
(65.1--76.4) |
Jefferson Parish, Louisiana |
410 |
82.6 |
2.4 |
(77.8--87.3) |
Orleans Parish, Louisiana |
288 |
73.6 |
3.8 |
(66.1--81.0) |
St. Tammany Parish, Louisiana |
322 |
81.0 |
3.2 |
(74.7--87.2) |
Cumberland County, Maine |
1,059 |
83.5 |
1.6 |
(80.3--86.6) |
Kennebec County, Maine |
531 |
86.3 |
1.9 |
(82.5--90.0) |
Penobscot County, Maine |
651 |
81.0 |
2.0 |
(77.0--84.9) |
Sagadahoc County, Maine |
271 |
84.3 |
2.9 |
(78.6--89.9) |
York County, Maine |
713 |
83.7 |
1.9 |
(79.9--87.4) |
Anne Arundel County, Maryland |
549 |
82.2 |
2.2 |
(77.8--86.5) |
Baltimore County, Maryland |
957 |
79.9 |
1.9 |
(76.1--83.6) |
Charles County, Maryland |
290 |
82.3 |
3.2 |
(76.0--88.5) |
Frederick County, Maryland |
530 |
80.5 |
2.4 |
(75.7--85.2) |
Harford County, Maryland |
300 |
83.1 |
2.7 |
(77.8--88.3) |
Howard County, Maryland |
334 |
82.1 |
3.1 |
(76.0--88.1) |
Montgomery County, Maryland |
1,079 |
83.6 |
1.7 |
(80.2--86.9) |
Prince George´s County, Maryland |
632 |
79.5 |
2.5 |
(74.6--84.4) |
Queen Anne´s County, Maryland |
251 |
81.5 |
3.8 |
(74.0--88.9) |
Washington County, Maryland |
436 |
78.8 |
3.2 |
(72.5--85.0) |
TABLE 15. (Continued) Estimated prevalence of adults aged ≥18 years who had their blood cholesterol checked during the preceding 5 years, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Baltimore City, Maryland |
489 |
84.6 |
2.3 |
(80.0--89.1) |
Barnstable County, Massachusetts |
564 |
89.8 |
2.2 |
(85.4--94.1) |
Bristol County, Massachusetts |
3,571 |
86.2 |
1.1 |
(84.0--88.3) |
Essex County, Massachusetts |
2,904 |
84.0 |
1.7 |
(80.6--87.3) |
Hampden County, Massachusetts |
1,958 |
80.8 |
1.9 |
(77.0--84.5) |
Hampshire County, Massachusetts |
360 |
80.6 |
3.4 |
(73.9--87.2) |
Middlesex County, Massachusetts |
3,866 |
83.8 |
1.1 |
(81.6--85.9) |
Norfolk County, Massachusetts |
1,229 |
89.9 |
1.3 |
(87.3--92.4) |
Plymouth County, Massachusetts |
826 |
83.4 |
2.1 |
(79.2--87.5) |
Suffolk County, Massachusetts |
2,345 |
77.8 |
1.8 |
(74.2--81.3) |
Worcester County, Massachusetts |
2,689 |
82.0 |
1.3 |
(79.4--84.5) |
Kent County, Michigan |
366 |
77.9 |
3.1 |
(71.8--83.9) |
Macomb County, Michigan |
404 |
82.0 |
2.9 |
(76.3--87.6) |
Oakland County, Michigan |
768 |
83.2 |
2.1 |
(79.0--87.3) |
Wayne County, Michigan |
1,616 |
81.5 |
1.7 |
(78.1--84.8) |
Anoka County, Minnesota |
269 |
80.5 |
3.8 |
(73.0--87.9) |
Dakota County, Minnesota |
344 |
82.2 |
3.2 |
(75.9--88.4) |
Hennepin County, Minnesota |
932 |
79.3 |
2.4 |
(74.5--84.0) |
Ramsey County, Minnesota |
407 |
82.0 |
2.8 |
(76.5--87.4) |
DeSoto County, Mississippi |
258 |
80.1 |
3.5 |
(73.2--86.9) |
Harrison County, Mississippi |
373 |
71.7 |
3.3 |
(65.2--78.1) |
Hinds County, Mississippi |
508 |
75.1 |
3.2 |
(68.8--81.3) |
Rankin County, Mississippi |
288 |
80.4 |
3.0 |
(74.5--86.2) |
Jackson County, Missouri |
486 |
73.0 |
2.6 |
(67.9--78.0) |
St. Louis County, Missouri |
444 |
83.9 |
2.6 |
(78.8--88.9) |
St. Louis City, Missouri |
458 |
80.6 |
2.4 |
(75.8--85.3) |
Flathead County, Montana |
543 |
65.6 |
2.6 |
(60.5--70.6) |
Yellowstone County, Montana |
438 |
71.7 |
3.1 |
(65.6--77.7) |
Dakota County, Nebraska |
467 |
59.1 |
2.9 |
(53.4--64.7) |
Douglas County, Nebraska |
587 |
78.0 |
2.5 |
(73.1--82.9) |
Hall County, Nebraska |
368 |
70.9 |
2.9 |
(65.2--76.5) |
Lancaster County, Nebraska |
534 |
76.2 |
3.2 |
(69.9--82.4) |
Sarpy County, Nebraska |
377 |
73.1 |
4.1 |
(65.0--81.1) |
Clark County, Nevada |
1,324 |
70.8 |
1.7 |
(67.4--74.1) |
Washoe County, Nevada |
1,328 |
70.6 |
1.6 |
(67.4--73.7) |
Grafton County, New Hampshire |
495 |
75.9 |
2.9 |
(70.2--81.5) |
Hillsborough County, New Hampshire |
1,414 |
82.0 |
1.5 |
(79.0--84.9) |
Merrimack County, New Hampshire |
638 |
78.5 |
2.4 |
(73.7--83.2) |
Rockingham County, New Hampshire |
979 |
84.8 |
1.5 |
(81.8--87.7) |
Strafford County, New Hampshire |
605 |
79.9 |
2.6 |
(74.8--84.9) |
Bergen County, New Jersey |
375 |
81.3 |
3.2 |
(75.0--87.5) |
Burlington County, New Jersey |
337 |
86.9 |
2.5 |
(82.0--91.8) |
Camden County, New Jersey |
317 |
80.5 |
3.7 |
(73.2--87.7) |
Essex County, New Jersey |
533 |
76.5 |
3.0 |
(70.6--82.3) |
Gloucester County, New Jersey |
325 |
81.6 |
3.5 |
(74.7--88.4) |
Hudson County, New Jersey |
559 |
70.2 |
2.9 |
(64.5--75.8) |
Hunterdon County, New Jersey |
358 |
86.4 |
2.6 |
(81.3--91.4) |
Middlesex County, New Jersey |
375 |
84.5 |
2.7 |
(79.2--89.7) |
Monmouth County, New Jersey |
324 |
89.7 |
2.2 |
(85.3--94.0) |
Morris County, New Jersey |
408 |
82.8 |
2.8 |
(77.3--88.2) |
Ocean County, New Jersey |
327 |
81.8 |
3.7 |
(74.5--89.0) |
Passaic County, New Jersey |
275 |
81.6 |
3.5 |
(74.7--88.4) |
Somerset County, New Jersey |
356 |
84.4 |
2.7 |
(79.1--89.6) |
Sussex County, New Jersey |
333 |
81.1 |
3.5 |
(74.2--87.9) |
Union County, New Jersey |
309 |
82.0 |
3.2 |
(75.7--88.2) |
Warren County, New Jersey |
301 |
77.3 |
3.4 |
(70.6--83.9) |
Bernalillo County, New Mexico |
1,066 |
70.9 |
1.9 |
(67.1--74.6) |
Dona Ana County, New Mexico |
700 |
66.4 |
2.5 |
(61.5--71.3) |
Sandoval County, New Mexico |
498 |
77.8 |
2.9 |
(72.1--83.4) |
San Juan County, New Mexico |
670 |
65.5 |
2.5 |
(60.6--70.4) |
Santa Fe County, New Mexico |
513 |
73.7 |
2.8 |
(68.2--79.1) |
Valencia County, New Mexico |
307 |
71.3 |
3.3 |
(64.8--77.7) |
Erie County, New York |
395 |
83.9 |
2.8 |
(78.4--89.3) |
TABLE 15. (Continued) Estimated prevalence of adults aged ≥18 years who had their blood cholesterol checked during the preceding 5 years, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Kings County, New York |
403 |
79.1 |
2.7 |
(73.8--84.3) |
Nassau County, New York |
373 |
87.3 |
2.7 |
(82.0--92.5) |
New York County, New York |
547 |
84.4 |
2.5 |
(79.5--89.3) |
Queens County, New York |
433 |
83.4 |
2.7 |
(78.1--88.6) |
Suffolk County, New York |
428 |
85.0 |
2.4 |
(80.2--89.7) |
Westchester County, New York |
276 |
86.1 |
2.9 |
(80.4--91.7) |
Buncombe County, North Carolina |
343 |
78.1 |
3.4 |
(71.4--84.7) |
Cabarrus County, North Carolina |
355 |
78.2 |
3.5 |
(71.3--85.0) |
Catawba County, North Carolina |
398 |
82.5 |
3.1 |
(76.4--88.5) |
Cumberland County, North Carolina |
370 |
78.6 |
3.1 |
(72.5--84.6) |
Durham County, North Carolina |
319 |
82.3 |
4.3 |
(73.8--90.7) |
Gaston County, North Carolina |
376 |
89.9 |
2.1 |
(85.7--94.0) |
Guilford County, North Carolina |
370 |
82.7 |
3.4 |
(76.0--89.3) |
Henderson County, North Carolina |
282 |
81.1 |
3.6 |
(74.0--88.1) |
Johnston County, North Carolina |
424 |
78.0 |
3.6 |
(70.9--85.0) |
Mecklenburg County, North Carolina |
659 |
81.2 |
2.4 |
(76.4--85.9) |
New Hanover County, North Carolina |
378 |
83.7 |
2.7 |
(78.4--88.9) |
Orange County, North Carolina |
329 |
77.2 |
3.7 |
(69.9--84.4) |
Randolph County, North Carolina |
357 |
77.5 |
3.2 |
(71.2--83.7) |
Union County, North Carolina |
370 |
78.0 |
3.2 |
(71.7--84.2) |
Wake County, North Carolina |
589 |
81.2 |
2.4 |
(76.4--85.9) |
Burleigh County, North Dakota |
486 |
75.7 |
2.8 |
(70.2--81.1) |
Cass County, North Dakota |
656 |
75.2 |
2.7 |
(69.9--80.4) |
Cuyahoga County, Ohio |
744 |
76.7 |
2.4 |
(71.9--81.4) |
Franklin County, Ohio |
741 |
72.1 |
2.4 |
(67.3--76.8) |
Hamilton County, Ohio |
806 |
78.9 |
2.1 |
(74.7--83.0) |
Licking County, Ohio |
246 |
78.1 |
3.7 |
(70.8--85.3) |
Lucas County, Ohio |
760 |
76.9 |
2.1 |
(72.7--81.0) |
Mahoning County, Ohio |
802 |
79.4 |
2.3 |
(74.8--83.9) |
Montgomery County, Ohio |
726 |
74.8 |
2.6 |
(69.7--79.8) |
Stark County, Ohio |
773 |
74.2 |
2.4 |
(69.4--78.9) |
Summit County, Ohio |
731 |
79.0 |
2.1 |
(74.8--83.1) |
Canadian County, Oklahoma |
241 |
67.5 |
4.4 |
(58.8--76.1) |
Cleveland County, Oklahoma |
394 |
69.9 |
3.0 |
(64.0--75.7) |
Oklahoma County, Oklahoma |
1,235 |
71.8 |
1.7 |
(68.4--75.1) |
Tulsa County, Oklahoma |
1,457 |
72.5 |
1.7 |
(69.1--75.8) |
Clackamas County, Oregon |
460 |
72.6 |
3.0 |
(66.7--78.4) |
Multnomah County, Oregon |
787 |
70.5 |
2.1 |
(66.3--74.6) |
Washington County, Oregon |
539 |
76.3 |
2.6 |
(71.2--81.3) |
Allegheny County, Pennsylvania |
623 |
77.5 |
2.5 |
(72.6--82.4) |
Delaware County, Pennsylvania |
266 |
84.9 |
3.1 |
(78.8--90.9) |
Fayette County, Pennsylvania |
1,578 |
76.4 |
1.7 |
(73.0--79.7) |
Luzerne County, Pennsylvania |
2,272 |
77.5 |
2.3 |
(72.9--82.0) |
Montgomery County, Pennsylvania |
333 |
82.6 |
3.5 |
(75.7--89.4) |
Philadelphia County, Pennsylvania |
1,767 |
76.1 |
2.7 |
(70.8--81.3) |
Westmoreland County, Pennsylvania |
280 |
80.9 |
3.6 |
(73.8--87.9) |
Kent County, Rhode Island |
645 |
85.8 |
2.1 |
(81.6--89.9) |
Newport County, Rhode Island |
357 |
82.8 |
3.2 |
(76.5--89.0) |
Providence County, Rhode Island |
2,678 |
79.3 |
1.4 |
(76.5--82.0) |
Washington County, Rhode Island |
504 |
80.4 |
3.4 |
(73.7--87.0) |
Aiken County, South Carolina |
660 |
79.9 |
2.3 |
(75.3--84.4) |
Beaufort County, South Carolina |
827 |
84.3 |
2.4 |
(79.5--89.0) |
Berkeley County, South Carolina |
319 |
79.4 |
3.4 |
(72.7--86.0) |
Charleston County, South Carolina |
665 |
79.3 |
2.9 |
(73.6--84.9) |
Dorchester County, South Carolina |
243 |
80.3 |
3.5 |
(73.4--87.1) |
Greenville County, South Carolina |
533 |
78.5 |
3.0 |
(72.6--84.3) |
Horry County, South Carolina |
888 |
77.4 |
2.1 |
(73.2--81.5) |
Lexington County, South Carolina |
321 |
87.4 |
2.4 |
(82.6--92.1) |
Richland County, South Carolina |
425 |
82.0 |
2.6 |
(76.9--87.0) |
York County, South Carolina |
271 |
74.5 |
3.5 |
(67.6--81.3) |
Minnehaha County, South Dakota |
699 |
73.8 |
2.2 |
(69.4--78.1) |
Pennington County, South Dakota |
750 |
74.9 |
2.3 |
(70.3--79.4) |
Davidson County, Tennessee |
279 |
71.4 |
4.0 |
(63.5--79.2) |
TABLE 15. (Continued) Estimated prevalence of adults aged ≥18 years who had their blood cholesterol checked during the preceding 5 years, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Hamilton County, Tennessee |
670 |
82.2 |
2.2 |
(77.8--86.5) |
Shelby County, Tennessee |
295 |
86.7 |
2.8 |
(81.2--92.1) |
Sullivan County, Tennessee |
422 |
77.4 |
2.7 |
(72.1--82.6) |
Bexar County, Texas |
1,049 |
74.0 |
2.1 |
(69.8--78.1) |
Cameron County, Texas |
608 |
59.4 |
2.7 |
(54.1--64.6) |
Collin County, Texas |
257 |
84.0 |
3.5 |
(77.1--90.8) |
Dallas County, Texas |
841 |
72.5 |
2.4 |
(67.7--77.2) |
Denton County, Texas |
258 |
77.5 |
3.9 |
(69.8--85.1) |
El Paso County, Texas |
1,483 |
57.6 |
1.8 |
(54.0--61.1) |
Harris County, Texas |
954 |
70.1 |
2.4 |
(65.3--74.8) |
Hidalgo County, Texas |
944 |
59.4 |
2.4 |
(54.6--64.1) |
Tarrant County, Texas |
1,131 |
77.2 |
1.8 |
(73.6--80.7) |
Travis County, Texas |
776 |
70.6 |
2.4 |
(65.8--75.3) |
Webb County, Texas |
500 |
59.1 |
3.0 |
(53.2--64.9) |
Williamson County, Texas |
353 |
77.1 |
3.2 |
(70.8--83.3) |
Davis County, Utah |
408 |
72.1 |
2.9 |
(66.4--77.7) |
Salt Lake County, Utah |
1,596 |
66.6 |
1.7 |
(63.2--69.9) |
Tooele County, Utah |
243 |
69.3 |
4.1 |
(61.2--77.3) |
Utah County, Utah |
527 |
59.3 |
3.1 |
(53.2--65.3) |
Weber County, Utah |
395 |
71.6 |
2.8 |
(66.1--77.0) |
Chittenden County, Vermont |
1,388 |
76.0 |
1.9 |
(72.2--79.7) |
Franklin County, Vermont |
456 |
81.4 |
2.7 |
(76.1--86.6) |
Orange County, Vermont |
360 |
76.9 |
2.9 |
(71.2--82.5) |
Rutland County, Vermont |
665 |
76.2 |
2.3 |
(71.6--80.7) |
Washington County, Vermont |
678 |
82.4 |
2.1 |
(78.2--86.5) |
Windsor County, Vermont |
709 |
76.7 |
2.4 |
(71.9--81.4) |
Arlington County, Virginia |
285 |
80.5 |
4.0 |
(72.6--88.3) |
Fairfax County, Virginia |
245 |
89.1 |
3.1 |
(83.0--95.1) |
Prince William County, Virginia |
275 |
71.2 |
4.3 |
(62.7--79.6) |
Alexandria city, Virginia |
256 |
84.8 |
3.7 |
(77.5--92.0) |
Benton County, Washington |
443 |
71.2 |
3.3 |
(64.7--77.6) |
Chelan County, Washington |
528 |
70.5 |
2.9 |
(64.8--76.1) |
Clark County, Washington |
1,665 |
74.2 |
1.7 |
(70.8--77.5) |
Douglas County, Washington |
515 |
71.0 |
3.1 |
(64.9--77.0) |
King County, Washington |
4,324 |
76.0 |
1.0 |
(74.0--77.9) |
Kitsap County, Washington |
977 |
74.0 |
2.1 |
(69.8--78.1) |
Pierce County, Washington |
1,837 |
76.0 |
1.5 |
(73.0--78.9) |
Snohomish County, Washington |
2,675 |
75.7 |
1.3 |
(73.1--78.2) |
Spokane County, Washington |
1,344 |
70.5 |
2.0 |
(66.5--74.4) |
Thurston County, Washington |
1,810 |
74.8 |
1.5 |
(71.8--77.7) |
Whatcom County, Washington |
1,133 |
70.1 |
2.1 |
(65.9--74.2) |
Yakima County, Washington |
727 |
61.7 |
2.6 |
(56.6--66.7) |
Kanawha County, West Virginia |
492 |
83.0 |
2.4 |
(78.2--87.7) |
Milwaukee County, Wisconsin |
1,165 |
74.6 |
2.6 |
(69.5--79.6) |
Fremont County, Wyoming |
492 |
70.5 |
3.2 |
(64.2--76.7) |
Laramie County, Wyoming |
899 |
76.3 |
2.0 |
(72.3--80.2) |
Natrona County, Wyoming |
737 |
74.4 |
2.2 |
(70.0--78.7) |
Median |
78.1 |
|||
Range |
57.6--89.9 |
|||
* Standard error. † Confidence interval. § Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 17. (Continued) Estimated prevalence of adults aged ≥18 years who consumed at least 5 servings of fruits or vegetables per day, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Gainesville, Florida |
1,048 |
28.9 |
2.7 |
(23.6--34.1) |
Grand Island, Nebraska |
554 |
24.0 |
2.4 |
(19.2--28.7) |
Grand Rapids-Wyoming, Michigan |
502 |
22.5 |
2.3 |
(17.9--27.0) |
Greeley, Colorado |
520 |
23.1 |
2.2 |
(18.7--27.4) |
Greensboro-High Point, North Carolina |
823 |
24.8 |
2.8 |
(19.3--30.2) |
Greenville, South Carolina |
873 |
18.9 |
1.7 |
(15.5--22.2) |
Gulfport-Biloxi, Mississippi |
497 |
19.2 |
2.2 |
(14.8--23.5) |
Hagerstown-Martinsburg, Maryland-West Virginia |
705 |
22.8 |
2.1 |
(18.6--26.9) |
Hartford-West Hartford-East Hartford, Connecticut |
2,325 |
28.6 |
1.3 |
(26.0--31.1) |
Hickory-Morganton-Lenoir, North Carolina |
854 |
19.5 |
2.0 |
(15.5--23.4) |
Hilo, Hawaii |
1,506 |
32.3 |
1.5 |
(29.3--35.2) |
Hilton Head Island-Beaufort, South Carolina |
926 |
22.4 |
1.9 |
(18.6--26.1) |
Homosassa Springs, Florida |
562 |
27.9 |
2.5 |
(23.0--32.8) |
Honolulu, Hawaii |
2,878 |
27.0 |
1.0 |
(25.0--28.9) |
Houston-Sugar Land-Baytown, Texas |
1,510 |
25.2 |
1.6 |
(22.0--28.3) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
579 |
16.2 |
1.9 |
(12.4--19.9) |
Idaho Falls, Idaho |
498 |
21.1 |
2.1 |
(16.9--25.2) |
Indianapolis-Carmel, Indiana |
1,531 |
25.5 |
1.5 |
(22.5--28.4) |
Jackson, Mississippi |
1,148 |
18.1 |
1.5 |
(15.1--21.0) |
Jacksonville, Florida |
3,856 |
24.6 |
1.0 |
(22.6--26.5) |
Kahului-Wailuku, Hawaii |
1,498 |
31.4 |
1.8 |
(27.8--34.9) |
Kalispell, Montana |
542 |
25.1 |
2.2 |
(20.7--29.4) |
Kansas City, Missouri-Kansas |
3,302 |
19.4 |
1.0 |
(17.4--21.3) |
Kapaa, Hawaii |
646 |
34.0 |
2.4 |
(29.2--38.7) |
Kennewick-Richland-Pasco, Washington |
676 |
22.1 |
2.2 |
(17.7--26.4) |
Key West-Marathon, Florida |
489 |
24.3 |
2.6 |
(19.2--29.3) |
Kingsport-Bristol, Tennessee-Virginia |
578 |
22.8 |
2.2 |
(18.4--27.1) |
Lake Charles, Louisiana |
521 |
16.5 |
2.0 |
(12.5--20.4) |
Lake City, Florida |
567 |
31.8 |
3.9 |
(24.1--39.4) |
Lakeland-Winter Haven, Florida |
503 |
21.9 |
2.3 |
(17.3--26.4) |
Laredo, Texas |
497 |
19.8 |
2.6 |
(14.7--24.8) |
Las Cruces, New Mexico |
698 |
19.5 |
1.9 |
(15.7--23.2) |
Las Vegas-Paradise, Nevada |
1,329 |
21.2 |
1.4 |
(18.4--23.9) |
Lebanon, New Hampshire-Vermont |
1,591 |
29.8 |
1.6 |
(26.6--32.9) |
Lewiston, Idaho-Washington |
514 |
21.2 |
2.3 |
(16.6--25.7) |
Lincoln, Nebraska |
702 |
26.1 |
2.5 |
(21.2--31.0) |
Little Rock-North Little Rock, Arkansas |
1,219 |
22.0 |
1.5 |
(19.0--24.9) |
Los Angeles-Long Beach-Glendale, California§ |
822 |
26.6 |
1.9 |
(22.8--30.3) |
Louisville, Kentucky-Indiana |
803 |
24.7 |
2.2 |
(20.3--29.0) |
Manchester-Nashua, New Hampshire |
1,408 |
27.7 |
1.4 |
(24.9--30.4) |
McAllen-Edinburg-Mission, Texas |
939 |
19.6 |
1.6 |
(16.4--22.7) |
Memphis, Tennessee-Mississippi-Arkansas |
961 |
25.6 |
2.4 |
(20.8--30.3) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,117 |
24.5 |
1.7 |
(21.1--27.8) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,457 |
25.0 |
1.9 |
(21.2--28.7) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,736 |
20.3 |
1.0 |
(18.3--22.2) |
Mobile, Alabama |
570 |
18.6 |
2.4 |
(13.8--23.3) |
Montgomery, Alabama |
511 |
26.7 |
3.4 |
(20.0--33.3) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
899 |
19.6 |
1.7 |
(16.2--22.9) |
Naples-Marco Island, Florida |
784 |
28.3 |
2.3 |
(23.7--32.8) |
Nashville-Davidson-Murfreesboro, Tennessee |
583 |
31.3 |
2.7 |
(26.0--36.5) |
Nassau-Suffolk, New York§ |
799 |
24.0 |
1.9 |
(20.2--27.7) |
Newark-Union, New Jersey-Pennsylvania§ |
1,949 |
27.4 |
1.6 |
(24.2--30.5) |
New Haven-Milford, Connecticut |
1,758 |
27.5 |
1.6 |
(24.3--30.6) |
New Orleans-Metairie-Kenner, Louisiana |
1,215 |
20.6 |
1.4 |
(17.8--23.3) |
New York-White Plains-Wayne, New York-New Jersey§ |
3,277 |
27.4 |
1.1 |
(25.2--29.5) |
Nogales, Arizona |
516 |
19.2 |
3.4 |
(12.5--25.8) |
Norwich-New London, Connecticut |
491 |
27.4 |
2.6 |
(22.3--32.4) |
Ocala, Florida |
608 |
22.6 |
2.2 |
(18.2--26.9) |
Ogden-Clearfield, Utah |
832 |
22.6 |
1.7 |
(19.2--25.9) |
Okeechobee, Florida |
695 |
23.6 |
2.4 |
(18.8--28.3) |
Oklahoma City, Oklahoma |
2,239 |
17.1 |
0.9 |
(15.3--18.8) |
Olympia, Washington |
1,863 |
26.3 |
1.3 |
(23.7--28.8) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,527 |
23.2 |
1.6 |
(20.0--26.3) |
Orlando-Kissimmee, Florida |
2,599 |
29.4 |
1.7 |
(26.0--32.7) |
TABLE 17. (Continued) Estimated prevalence of adults aged ≥18 years who consumed at least 5 servings of fruits or vegetables per day, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Palm Bay-Melbourne-Titusville, Florida |
541 |
30.6 |
2.8 |
(25.1--36.0) |
Palm Coast, Florida |
520 |
24.6 |
2.4 |
(19.8--29.3) |
Panama City-Lynn Haven, Florida |
532 |
24.6 |
3.0 |
(18.7--30.4) |
Pensacola-Ferry Pass-Brent, Florida |
997 |
27.2 |
1.8 |
(23.6--30.7) |
Philadelphia, Pennsylvania§ |
2,795 |
28.9 |
1.5 |
(25.9--31.8) |
Phoenix-Mesa-Scottsdale, Arizona |
1,253 |
28.5 |
1.9 |
(24.7--32.2) |
Pittsburgh, Pennsylvania |
2,896 |
24.2 |
1.5 |
(21.2--27.1) |
Portland-South Portland-Biddeford, Maine |
2,055 |
31.7 |
1.3 |
(29.1--34.2) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,928 |
26.9 |
1.0 |
(24.9--28.8) |
Port St. Lucie-Fort Pierce, Florida |
1,046 |
24.4 |
1.7 |
(21.0--27.7) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
7,990 |
25.0 |
0.7 |
(23.6--26.3) |
Provo-Orem, Utah |
578 |
20.2 |
2.2 |
(15.8--24.5) |
Raleigh-Cary, North Carolina |
1,079 |
20.7 |
1.8 |
(17.1--24.2) |
Rapid City, South Dakota |
957 |
21.8 |
1.7 |
(18.4--25.1) |
Reno-Sparks, Nevada |
1,372 |
25.0 |
1.4 |
(22.2--27.7) |
Richmond, Virginia |
846 |
24.8 |
1.9 |
(21.0--28.5) |
Riverside-San Bernardino-Ontario, California |
648 |
28.9 |
2.3 |
(24.3--33.4) |
Riverton, Wyoming |
493 |
22.6 |
2.9 |
(16.9--28.2) |
Rockingham County-Strafford County, New Hampshire§ |
1,591 |
29.4 |
1.4 |
(26.6--32.1) |
Rutland, Vermont |
672 |
28.3 |
2.0 |
(24.3--32.2) |
St. Louis, Missouri-Illinois |
1,535 |
20.2 |
1.4 |
(17.4--22.9) |
Salt Lake City, Utah |
2,106 |
23.5 |
1.2 |
(21.1--25.8) |
San Antonio, Texas |
1,398 |
23.0 |
1.5 |
(20.0--25.9) |
San Diego-Carlsbad-San Marcos, California |
487 |
31.0 |
2.5 |
(26.1--35.9) |
San Francisco-Oakland-Fremont, California |
746 |
30.1 |
2.1 |
(25.9--34.2) |
Santa Fe, New Mexico |
497 |
24.0 |
2.4 |
(19.2--28.7) |
Sarasota-Bradenton-Venice, Florida |
1,280 |
28.3 |
1.8 |
(24.7--31.8) |
Scranton-Wilkes-Barre, Pennsylvania |
2,461 |
23.3 |
2.0 |
(19.3--27.2) |
Seaford, Delaware |
1,232 |
20.4 |
1.4 |
(17.6--23.1) |
Seattle-Bellevue-Everett, Washington§ |
7,107 |
27.5 |
0.7 |
(26.1--28.8) |
Sebring, Florida |
742 |
33.8 |
3.1 |
(27.7--39.8) |
Sioux City, Iowa-Nebraska-South Dakota |
875 |
20.5 |
2.4 |
(15.7--25.2) |
Sioux Falls, South Dakota |
950 |
18.1 |
1.6 |
(14.9--21.2) |
Spokane, Washington |
1,362 |
24.5 |
1.6 |
(21.3--27.6) |
Springfield, Massachusetts |
2,538 |
28.3 |
1.6 |
(25.1--31.4) |
Tacoma, Washington§ |
1,884 |
26.4 |
1.4 |
(23.6--29.1) |
Tallahassee, Florida |
2,021 |
32.2 |
2.8 |
(26.7--37.6) |
Tampa-St. Petersburg-Clearwater, Florida |
2,107 |
26.1 |
1.4 |
(23.3--28.8) |
Toledo, Ohio |
972 |
18.6 |
2.0 |
(14.6--22.5) |
Topeka, Kansas |
774 |
16.9 |
1.5 |
(13.9--19.8) |
Tucson, Arizona |
731 |
30.4 |
2.3 |
(25.8--34.9) |
Tulsa, Oklahoma |
2,064 |
17.5 |
1.1 |
(15.3--19.6) |
Tuscaloosa, Alabama |
525 |
17.6 |
2.4 |
(12.8--22.3) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,131 |
28.5 |
2.4 |
(23.7--33.2) |
Warren-Troy-Farmington Hills, Michigan§ |
1,472 |
22.7 |
1.4 |
(19.9--25.4) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia§ |
6,630 |
27.8 |
1.3 |
(25.2--30.3) |
Wauchula, Florida |
676 |
18.9 |
3.6 |
(11.8--25.9) |
Wenatchee, Washington |
1,072 |
22.7 |
1.7 |
(19.3--26.0) |
West Palm Beach-Boca Raton-Boynton Beach, Florida§ |
521 |
26.0 |
2.5 |
(21.1--30.9) |
Wichita, Kansas |
1,541 |
17.2 |
1.2 |
(14.8--19.5) |
Wilmington, Delaware-Maryland-New Jersey§ |
1,753 |
22.9 |
1.6 |
(19.7--26.0) |
Wilmington, North Carolina |
610 |
17.1 |
1.8 |
(13.5--20.6) |
Worcester, Massachusetts |
2,687 |
27.6 |
1.3 |
(25.0--30.1) |
Yakima, Washington |
750 |
23.8 |
2.1 |
(19.6--27.9) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,027 |
20.6 |
2.3 |
(16.0--25.1) |
Yuma, Arizona |
547 |
28.6 |
2.4 |
(23.8--33.3) |
Median |
24.6 |
|||
Range |
16.2--34.0 |
|||
*Standard error. †Confidence interval. §Metropolitan division. |
TABLE 18. (Continued) Estimated prevalence of adults aged ≥18 years who consumed at least 5 servings of fruits or vegetables per day, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Marion County, Florida |
608 |
22.6 |
2.2 |
(18.2--26.9) |
Martin County, Florida |
525 |
25.7 |
2.4 |
(20.9--30.4) |
Miami-Dade County, Florida |
581 |
23.3 |
2.4 |
(18.5--28.0) |
Monroe County, Florida |
489 |
24.3 |
2.6 |
(19.2--29.3) |
Nassau County, Florida |
530 |
25.6 |
2.4 |
(20.8--30.3) |
Okeechobee County, Florida |
695 |
23.6 |
2.4 |
(18.8--28.3) |
Orange County, Florida |
795 |
30.8 |
2.7 |
(25.5--36.0) |
Osceola County, Florida |
690 |
25.5 |
2.5 |
(20.6--30.4) |
Palm Beach County, Florida |
521 |
26.0 |
2.5 |
(21.1--30.9) |
Pasco County, Florida |
542 |
24.7 |
2.4 |
(19.9--29.4) |
Pinellas County, Florida |
520 |
26.8 |
2.6 |
(21.7--31.8) |
Polk County, Florida |
503 |
21.9 |
2.3 |
(17.3--26.4) |
St. Johns County, Florida |
545 |
27.7 |
2.5 |
(22.8--32.6) |
St. Lucie County, Florida |
521 |
23.7 |
2.3 |
(19.1--28.2) |
Santa Rosa County, Florida |
482 |
27.2 |
2.5 |
(22.3--32.1) |
Sarasota County, Florida |
793 |
30.1 |
2.5 |
(25.2--35.0) |
Seminole County, Florida |
522 |
31.6 |
2.7 |
(26.3--36.8) |
Volusia County, Florida |
493 |
27.9 |
2.6 |
(22.8--32.9) |
Wakulla County, Florida |
534 |
31.3 |
4.3 |
(22.8--39.7) |
Clayton County, Georgia |
335 |
26.0 |
3.6 |
(18.9--33.0) |
Cobb County, Georgia |
399 |
32.1 |
3.0 |
(26.2--37.9) |
DeKalb County, Georgia |
422 |
30.4 |
3.2 |
(24.1--36.6) |
Fulton County, Georgia |
400 |
26.8 |
3.1 |
(20.7--32.8) |
Gwinnett County, Georgia |
311 |
24.3 |
3.3 |
(17.8--30.7) |
Hawaii County, Hawaii |
1,506 |
32.3 |
1.5 |
(29.3--35.2) |
Honolulu County, Hawaii |
2,878 |
27.0 |
1.0 |
(25.0--28.9) |
Kauai County, Hawaii |
646 |
34.0 |
2.4 |
(29.2--38.7) |
Maui County, Hawaii |
1,498 |
31.4 |
1.8 |
(27.8--34.9) |
Ada County, Idaho |
634 |
24.1 |
2.0 |
(20.1--28.0) |
Bonneville County, Idaho |
383 |
21.5 |
2.4 |
(16.7--26.2) |
Canyon County, Idaho |
482 |
18.0 |
1.9 |
(14.2--21.7) |
Nez Perce County, Idaho |
269 |
21.0 |
3.2 |
(14.7--27.2) |
Cook County, Illinois |
1,629 |
25.0 |
1.4 |
(22.2--27.7) |
DuPage County, Illinois |
378 |
24.8 |
2.7 |
(19.5--30.0) |
Lake County, Illinois |
289 |
31.3 |
3.2 |
(25.0--37.5) |
Lake County, Indiana |
557 |
20.2 |
3.0 |
(14.3--26.0) |
Marion County, Indiana |
1,088 |
23.7 |
1.8 |
(20.1--27.2) |
Polk County, Iowa |
716 |
21.9 |
1.8 |
(18.3--25.4) |
Johnson County, Kansas |
1,530 |
21.8 |
1.3 |
(19.2--24.3) |
Sedgwick County, Kansas |
1,158 |
17.7 |
1.4 |
(14.9--20.4) |
Shawnee County, Kansas |
547 |
17.0 |
1.9 |
(13.2--20.7) |
Wyandotte County, Kansas |
341 |
13.7 |
2.2 |
(9.3--18.0) |
Jefferson County, Kentucky |
431 |
23.6 |
2.9 |
(17.9--29.2) |
Calcasieu Parish, Louisiana |
500 |
16.8 |
2.0 |
(12.8--20.7) |
East Baton Rouge Parish, Louisiana |
492 |
21.7 |
2.1 |
(17.5--25.8) |
Jefferson Parish, Louisiana |
412 |
18.7 |
2.2 |
(14.3--23.0) |
Orleans Parish, Louisiana |
290 |
24.4 |
3.2 |
(18.1--30.6) |
St. Tammany Parish, Louisiana |
328 |
19.1 |
2.4 |
(14.3--23.8) |
Cumberland County, Maine |
1,070 |
32.1 |
1.7 |
(28.7--35.4) |
Kennebec County, Maine |
540 |
27.4 |
2.2 |
(23.0--31.7) |
Penobscot County, Maine |
650 |
27.5 |
2.1 |
(23.3--31.6) |
Sagadahoc County, Maine |
274 |
29.9 |
3.5 |
(23.0--36.7) |
York County, Maine |
711 |
30.7 |
2.3 |
(26.1--35.2) |
Anne Arundel County, Maryland |
542 |
29.8 |
2.5 |
(24.9--34.7) |
Baltimore County, Maryland |
965 |
24.0 |
1.6 |
(20.8--27.1) |
Charles County, Maryland |
294 |
22.3 |
3.1 |
(16.2--28.3) |
Frederick County, Maryland |
531 |
28.4 |
2.6 |
(23.3--33.4) |
Harford County, Maryland |
299 |
19.5 |
2.8 |
(14.0--24.9) |
Howard County, Maryland |
332 |
27.1 |
3.0 |
(21.2--32.9) |
Montgomery County, Maryland |
1,080 |
32.3 |
1.8 |
(28.7--35.8) |
Prince George´s County, Maryland |
631 |
28.3 |
2.3 |
(23.7--32.8) |
Queen Anne´s County, Maryland |
248 |
23.5 |
3.2 |
(17.2--29.7) |
Washington County, Maryland |
438 |
20.2 |
2.3 |
(15.6--24.7) |
TABLE 18. (Continued) Estimated prevalence of adults aged ≥18 years who consumed at least 5 servings of fruits or vegetables per day, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Baltimore City, Maryland |
482 |
19.5 |
2.1 |
(15.3--23.6) |
Barnstable County, Massachusetts |
562 |
32.5 |
2.5 |
(27.6--37.4) |
Bristol County, Massachusetts |
3,578 |
24.1 |
1.3 |
(21.5--26.6) |
Essex County, Massachusetts |
2,900 |
25.4 |
1.4 |
(22.6--28.1) |
Hampden County, Massachusetts |
1,968 |
25.2 |
1.7 |
(21.8--28.5) |
Hampshire County, Massachusetts |
364 |
32.1 |
3.5 |
(25.2--38.9) |
Middlesex County, Massachusetts |
3,872 |
29.4 |
1.1 |
(27.2--31.5) |
Norfolk County, Massachusetts |
1,237 |
27.9 |
1.7 |
(24.5--31.2) |
Plymouth County, Massachusetts |
823 |
22.9 |
1.8 |
(19.3--26.4) |
Suffolk County, Massachusetts |
2,334 |
25.3 |
1.4 |
(22.5--28.0) |
Worcester County, Massachusetts |
2,687 |
27.6 |
1.3 |
(25.0--30.1) |
Kent County, Michigan |
375 |
21.7 |
2.7 |
(16.4--26.9) |
Macomb County, Michigan |
401 |
20.5 |
2.5 |
(15.6--25.4) |
Oakland County, Michigan |
772 |
25.1 |
2.0 |
(21.1--29.0) |
Wayne County, Michigan |
1,619 |
22.2 |
1.4 |
(19.4--24.9) |
Anoka County, Minnesota |
271 |
18.8 |
2.9 |
(13.1--24.4) |
Dakota County, Minnesota |
348 |
14.8 |
2.2 |
(10.4--19.1) |
Hennepin County, Minnesota |
942 |
22.2 |
1.7 |
(18.8--25.5) |
Ramsey County, Minnesota |
412 |
20.8 |
2.3 |
(16.2--25.3) |
DeSoto County, Mississippi |
256 |
21.0 |
3.4 |
(14.3--27.6) |
Harrison County, Mississippi |
377 |
20.8 |
2.6 |
(15.7--25.8) |
Hinds County, Mississippi |
515 |
18.6 |
2.1 |
(14.4--22.7) |
Rankin County, Mississippi |
293 |
15.1 |
2.3 |
(10.5--19.6) |
Jackson County, Missouri |
485 |
18.2 |
1.9 |
(14.4--21.9) |
St. Louis County, Missouri |
447 |
24.7 |
2.6 |
(19.6--29.7) |
St. Louis City, Missouri |
456 |
22.0 |
2.6 |
(16.9--27.0) |
Flathead County, Montana |
542 |
25.1 |
2.2 |
(20.7--29.4) |
Yellowstone County, Montana |
441 |
21.7 |
2.4 |
(16.9--26.4) |
Dakota County, Nebraska |
475 |
19.5 |
2.2 |
(15.1--23.8) |
Douglas County, Nebraska |
593 |
26.0 |
2.4 |
(21.2--30.7) |
Hall County, Nebraska |
371 |
20.9 |
2.4 |
(16.1--25.6) |
Lancaster County, Nebraska |
542 |
26.1 |
2.7 |
(20.8--31.3) |
Sarpy County, Nebraska |
377 |
23.0 |
3.5 |
(16.1--29.8) |
Clark County, Nevada |
1,329 |
21.2 |
1.4 |
(18.4--23.9) |
Washoe County, Nevada |
1,350 |
24.7 |
1.4 |
(21.9--27.4) |
Grafton County, New Hampshire |
503 |
33.7 |
2.7 |
(28.4--38.9) |
Hillsborough County, New Hampshire |
1,408 |
27.7 |
1.4 |
(24.9--30.4) |
Merrimack County, New Hampshire |
633 |
27.8 |
2.2 |
(23.4--32.1) |
Rockingham County, New Hampshire |
976 |
31.3 |
1.7 |
(27.9--34.6) |
Strafford County, New Hampshire |
615 |
26.3 |
2.2 |
(21.9--30.6) |
Bergen County, New Jersey |
367 |
30.2 |
3.1 |
(24.1--36.2) |
Burlington County, New Jersey |
335 |
25.6 |
3.1 |
(19.5--31.6) |
Camden County, New Jersey |
314 |
27.1 |
3.6 |
(20.0--34.1) |
Essex County, New Jersey |
509 |
26.5 |
2.6 |
(21.4--31.5) |
Gloucester County, New Jersey |
329 |
17.7 |
2.6 |
(12.6--22.7) |
Hudson County, New Jersey |
552 |
24.6 |
2.7 |
(19.3--29.8) |
Hunterdon County, New Jersey |
359 |
32.6 |
3.0 |
(26.7--38.4) |
Middlesex County, New Jersey |
376 |
28.6 |
3.0 |
(22.7--34.4) |
Monmouth County, New Jersey |
318 |
25.7 |
3.0 |
(19.8--31.5) |
Morris County, New Jersey |
412 |
30.1 |
3.0 |
(24.2--35.9) |
Ocean County, New Jersey |
321 |
28.3 |
3.4 |
(21.6--34.9) |
Passaic County, New Jersey |
273 |
29.9 |
3.7 |
(22.6--37.1) |
Somerset County, New Jersey |
351 |
28.4 |
3.0 |
(22.5--34.2) |
Sussex County, New Jersey |
331 |
24.4 |
2.8 |
(18.9--29.8) |
Union County, New Jersey |
304 |
25.8 |
3.2 |
(19.5--32.0) |
Warren County, New Jersey |
306 |
26.2 |
3.2 |
(19.9--32.4) |
Bernalillo County, New Mexico |
1,065 |
24.1 |
1.5 |
(21.1--27.0) |
Dona Ana County, New Mexico |
698 |
19.5 |
1.9 |
(15.7--23.2) |
Sandoval County, New Mexico |
495 |
24.2 |
2.9 |
(18.5--29.8) |
San Juan County, New Mexico |
660 |
25.5 |
2.2 |
(21.1--29.8) |
Santa Fe County, New Mexico |
497 |
24.0 |
2.4 |
(19.2--28.7) |
Valencia County, New Mexico |
305 |
18.2 |
2.7 |
(12.9--23.4) |
Erie County, New York |
389 |
29.0 |
2.9 |
(23.3--34.6) |
TABLE 18. (Continued) Estimated prevalence of adults aged ≥18 years who consumed at least 5 servings of fruits or vegetables per day, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Kings County, New York |
395 |
31.0 |
2.8 |
(25.5--36.4) |
Nassau County, New York |
371 |
25.7 |
2.8 |
(20.2--31.1) |
New York County, New York |
546 |
28.4 |
2.6 |
(23.3--33.4) |
Queens County, New York |
421 |
24.1 |
2.6 |
(19.0--29.1) |
Suffolk County, New York |
428 |
22.1 |
2.6 |
(17.0--27.1) |
Westchester County, New York |
274 |
28.5 |
3.1 |
(22.4--34.5) |
Buncombe County, North Carolina |
347 |
25.6 |
2.7 |
(20.3--30.8) |
Cabarrus County, North Carolina |
354 |
20.0 |
2.7 |
(14.7--25.2) |
Catawba County, North Carolina |
403 |
18.4 |
2.4 |
(13.6--23.1) |
Cumberland County, North Carolina |
374 |
16.1 |
2.4 |
(11.3--20.8) |
Durham County, North Carolina |
324 |
26.2 |
3.3 |
(19.7--32.6) |
Gaston County, North Carolina |
382 |
18.3 |
2.3 |
(13.7--22.8) |
Guilford County, North Carolina |
383 |
24.2 |
3.4 |
(17.5--30.8) |
Henderson County, North Carolina |
293 |
27.4 |
3.3 |
(20.9--33.8) |
Johnston County, North Carolina |
434 |
19.1 |
3.6 |
(12.0--26.1) |
Mecklenburg County, North Carolina |
669 |
22.2 |
2.1 |
(18.0--26.3) |
New Hanover County, North Carolina |
385 |
22.7 |
2.6 |
(17.6--27.7) |
Orange County, North Carolina |
342 |
27.1 |
3.5 |
(20.2--33.9) |
Randolph County, North Carolina |
372 |
17.9 |
2.6 |
(12.8--22.9) |
Union County, North Carolina |
368 |
24.6 |
3.1 |
(18.5--30.6) |
Wake County, North Carolina |
600 |
21.4 |
2.1 |
(17.2--25.5) |
Burleigh County, North Dakota |
490 |
18.9 |
2.1 |
(14.7--23.0) |
Cass County, North Dakota |
661 |
23.8 |
2.3 |
(19.2--28.3) |
Cuyahoga County, Ohio |
752 |
21.7 |
1.9 |
(17.9--25.4) |
Franklin County, Ohio |
748 |
22.1 |
1.9 |
(18.3--25.8) |
Hamilton County, Ohio |
806 |
23.7 |
1.9 |
(19.9--27.4) |
Licking County, Ohio |
244 |
20.9 |
2.9 |
(15.2--26.5) |
Lucas County, Ohio |
772 |
17.7 |
1.6 |
(14.5--20.8) |
Mahoning County, Ohio |
806 |
22.0 |
2.0 |
(18.0--25.9) |
Montgomery County, Ohio |
727 |
21.3 |
2.1 |
(17.1--25.4) |
Stark County, Ohio |
784 |
21.6 |
1.8 |
(18.0--25.1) |
Summit County, Ohio |
737 |
22.8 |
2.0 |
(18.8--26.7) |
Canadian County, Oklahoma |
243 |
15.6 |
2.6 |
(10.5--20.6) |
Cleveland County, Oklahoma |
404 |
16.1 |
2.0 |
(12.1--20.0) |
Oklahoma County, Oklahoma |
1,260 |
17.6 |
1.2 |
(15.2--19.9) |
Tulsa County, Oklahoma |
1,487 |
18.8 |
1.3 |
(16.2--21.3) |
Clackamas County, Oregon |
478 |
24.1 |
2.4 |
(19.3--28.8) |
Multnomah County, Oregon |
812 |
29.5 |
1.9 |
(25.7--33.2) |
Washington County, Oregon |
548 |
26.5 |
2.2 |
(22.1--30.8) |
Allegheny County, Pennsylvania |
628 |
25.0 |
2.2 |
(20.6--29.3) |
Delaware County, Pennsylvania |
269 |
30.1 |
3.7 |
(22.8--37.3) |
Fayette County, Pennsylvania |
1,596 |
22.4 |
2.0 |
(18.4--26.3) |
Luzerne County, Pennsylvania |
2,277 |
22.7 |
1.9 |
(18.9--26.4) |
Montgomery County, Pennsylvania |
330 |
35.1 |
3.5 |
(28.2--41.9) |
Philadelphia County, Pennsylvania |
1,759 |
24.5 |
2.2 |
(20.1--28.8) |
Westmoreland County, Pennsylvania |
284 |
22.3 |
3.6 |
(15.2--29.3) |
Kent County, Rhode Island |
647 |
20.4 |
1.8 |
(16.8--23.9) |
Newport County, Rhode Island |
356 |
22.8 |
2.7 |
(17.5--28.0) |
Providence County, Rhode Island |
2,695 |
25.3 |
1.2 |
(22.9--27.6) |
Washington County, Rhode Island |
505 |
29.7 |
2.7 |
(24.4--34.9) |
Aiken County, South Carolina |
676 |
18.4 |
1.8 |
(14.8--21.9) |
Beaufort County, South Carolina |
836 |
22.9 |
2.0 |
(18.9--26.8) |
Berkeley County, South Carolina |
323 |
18.4 |
2.6 |
(13.3--23.4) |
Charleston County, South Carolina |
671 |
20.3 |
2.1 |
(16.1--24.4) |
Dorchester County, South Carolina |
251 |
18.1 |
2.8 |
(12.6--23.5) |
Greenville County, South Carolina |
548 |
20.3 |
2.2 |
(15.9--24.6) |
Horry County, South Carolina |
899 |
19.6 |
1.7 |
(16.2--22.9) |
Lexington County, South Carolina |
324 |
20.4 |
2.5 |
(15.5--25.3) |
Richland County, South Carolina |
434 |
20.2 |
2.5 |
(15.3--25.1) |
York County, South Carolina |
277 |
17.1 |
2.5 |
(12.2--22.0) |
Minnehaha County, South Dakota |
704 |
16.7 |
1.6 |
(13.5--19.8) |
Pennington County, South Dakota |
751 |
22.0 |
1.9 |
(18.2--25.7) |
Davidson County, Tennessee |
270 |
31.7 |
4.0 |
(23.8--39.5) |
TABLE 18. (Continued) Estimated prevalence of adults aged ≥18 years who consumed at least 5 servings of fruits or vegetables per day, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Hamilton County, Tennessee |
660 |
29.4 |
2.3 |
(24.8--33.9) |
Shelby County, Tennessee |
290 |
28.4 |
3.3 |
(21.9--34.8) |
Sullivan County, Tennessee |
410 |
26.9 |
2.6 |
(21.8--31.9) |
Bexar County, Texas |
1,047 |
23.2 |
1.6 |
(20.0--26.3) |
Cameron County, Texas |
607 |
23.1 |
2.2 |
(18.7--27.4) |
Collin County, Texas |
253 |
27.3 |
3.5 |
(20.4--34.1) |
Dallas County, Texas |
829 |
25.5 |
2.1 |
(21.3--29.6) |
Denton County, Texas |
253 |
28.5 |
3.5 |
(21.6--35.3) |
El Paso County, Texas |
1,480 |
24.9 |
1.5 |
(21.9--27.8) |
Harris County, Texas |
938 |
25.5 |
1.9 |
(21.7--29.2) |
Hidalgo County, Texas |
939 |
19.6 |
1.6 |
(16.4--22.7) |
Tarrant County, Texas |
1,125 |
25.1 |
1.7 |
(21.7--28.4) |
Travis County, Texas |
779 |
29.1 |
2.1 |
(24.9--33.2) |
Webb County, Texas |
497 |
19.8 |
2.6 |
(14.7--24.8) |
Williamson County, Texas |
349 |
24.7 |
2.8 |
(19.2--30.1) |
Davis County, Utah |
414 |
22.5 |
2.4 |
(17.7--27.2) |
Salt Lake County, Utah |
1,621 |
23.6 |
1.3 |
(21.0--26.1) |
Tooele County, Utah |
248 |
16.3 |
3.0 |
(10.4--22.1) |
Utah County, Utah |
544 |
20.1 |
2.3 |
(15.5--24.6) |
Weber County, Utah |
400 |
22.4 |
2.3 |
(17.8--26.9) |
Chittenden County, Vermont |
1,412 |
32.6 |
1.7 |
(29.2--35.9) |
Franklin County, Vermont |
461 |
25.5 |
2.4 |
(20.7--30.2) |
Orange County, Vermont |
369 |
29.0 |
2.9 |
(23.3--34.6) |
Rutland County, Vermont |
672 |
28.3 |
2.0 |
(24.3--32.2) |
Washington County, Vermont |
687 |
30.9 |
2.1 |
(26.7--35.0) |
Windsor County, Vermont |
719 |
27.2 |
1.9 |
(23.4--30.9) |
Arlington County, Virginia |
293 |
37.4 |
4.0 |
(29.5--45.2) |
Fairfax County, Virginia |
245 |
28.1 |
4.0 |
(20.2--35.9) |
Prince William County, Virginia |
280 |
24.3 |
3.1 |
(18.2--30.3) |
Alexandria city, Virginia |
258 |
31.7 |
4.5 |
(22.8--40.5) |
Benton County, Washington |
446 |
21.8 |
2.5 |
(16.9--26.7) |
Chelan County, Washington |
543 |
23.2 |
2.2 |
(18.8--27.5) |
Clark County, Washington |
1,685 |
25.8 |
1.4 |
(23.0--28.5) |
Douglas County, Washington |
529 |
22.4 |
2.3 |
(17.8--26.9) |
King County, Washington |
4,384 |
28.2 |
0.9 |
(26.4--29.9) |
Kitsap County, Washington |
1,000 |
26.9 |
1.8 |
(23.3--30.4) |
Pierce County, Washington |
1,884 |
26.1 |
1.3 |
(23.5--28.6) |
Snohomish County, Washington |
2,723 |
25.9 |
1.0 |
(23.9--27.8) |
Spokane County, Washington |
1,362 |
24.5 |
1.6 |
(21.3--27.6) |
Thurston County, Washington |
1,863 |
26.3 |
1.3 |
(23.7--28.8) |
Whatcom County, Washington |
1,156 |
25.9 |
1.6 |
(22.7--29.0) |
Yakima County, Washington |
750 |
23.8 |
2.1 |
(19.6--27.9) |
Kanawha County, West Virginia |
502 |
20.1 |
2.1 |
(15.9--24.2) |
Milwaukee County, Wisconsin |
1,119 |
26.0 |
2.6 |
(20.9--31.0) |
Fremont County, Wyoming |
493 |
22.6 |
2.9 |
(16.9--28.2) |
Laramie County, Wyoming |
893 |
27.5 |
1.9 |
(23.7--31.2) |
Natrona County, Wyoming |
741 |
24.7 |
2.0 |
(20.7--28.6) |
Median |
24.7 |
|||
Range |
13.7--37.4 |
|||
* Standard error. † Confidence interval. |
TABLE 20. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Gainesville, Florida |
1,077 |
18.7 |
2.3 |
(14.1--23.2) |
Grand Island, Nebraska |
565 |
27.4 |
2.3 |
(22.8--31.9) |
Grand Rapids-Wyoming, Michigan |
508 |
16.8 |
2.0 |
(12.8--20.7) |
Greeley, Colorado |
538 |
23.7 |
2.5 |
(18.8--28.6) |
Greensboro-High Point, North Carolina |
829 |
21.2 |
2.0 |
(17.2--25.1) |
Greenville, South Carolina |
886 |
25.1 |
2.0 |
(21.1--29.0) |
Gulfport-Biloxi, Mississippi |
504 |
25.4 |
2.4 |
(20.6--30.1) |
Hagerstown-Martinsburg, Maryland-West Virginia |
712 |
24.6 |
2.2 |
(20.2--28.9) |
Hartford-West Hartford-East Hartford, Connecticut |
2,376 |
19.7 |
1.1 |
(17.5--21.8) |
Hickory-Morganton-Lenoir, North Carolina |
868 |
25.6 |
1.9 |
(21.8--29.3) |
Hilo, Hawaii |
1,520 |
17.7 |
1.3 |
(15.1--20.2) |
Hilton Head Island-Beaufort, South Carolina |
946 |
15.8 |
1.9 |
(12.0--19.5) |
Homosassa Springs, Florida |
583 |
26.4 |
2.3 |
(21.8--30.9) |
Honolulu, Hawaii |
2,920 |
17.6 |
0.8 |
(16.0--19.1) |
Houston-Sugar Land-Baytown, Texas |
1,562 |
27.2 |
1.7 |
(23.8--30.5) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
601 |
31.2 |
2.5 |
(26.3--36.1) |
Idaho Falls, Idaho |
508 |
18.4 |
2.1 |
(14.2--22.5) |
Indianapolis-Carmel, Indiana |
1,580 |
23.7 |
1.5 |
(20.7--26.6) |
Jackson, Mississippi |
1,165 |
28.3 |
1.6 |
(25.1--31.4) |
Jacksonville, Florida |
4,011 |
23.7 |
0.9 |
(21.9--25.4) |
Kahului-Wailuku, Hawaii |
1,511 |
21.1 |
1.9 |
(17.3--24.8) |
Kalispell, Montana |
555 |
19.1 |
2.0 |
(15.1--23.0) |
Kansas City, Missouri-Kansas |
3,361 |
23.4 |
1.1 |
(21.2--25.5) |
Kapaa, Hawaii |
652 |
16.8 |
1.9 |
(13.0--20.5) |
Kennewick-Richland-Pasco, Washington |
682 |
15.7 |
1.6 |
(12.5--18.8) |
Key West-Marathon, Florida |
507 |
27.6 |
4.2 |
(19.3--35.8) |
Kingsport-Bristol, Tennessee-Virginia |
593 |
34.5 |
2.7 |
(29.2--39.7) |
Lake Charles, Louisiana |
540 |
30.4 |
2.5 |
(25.5--35.3) |
Lake City, Florida |
587 |
23.7 |
2.4 |
(18.9--28.4) |
Lakeland-Winter Haven, Florida |
525 |
25.6 |
2.3 |
(21.0--30.1) |
Laredo, Texas |
509 |
34.0 |
2.9 |
(28.3--39.6) |
Las Cruces, New Mexico |
713 |
24.5 |
2.0 |
(20.5--28.4) |
Las Vegas-Paradise, Nevada |
1,367 |
26.0 |
1.4 |
(23.2--28.7) |
Lebanon, New Hampshire-Vermont |
1,611 |
19.3 |
1.3 |
(16.7--21.8) |
Lewiston, Idaho-Washington |
522 |
21.5 |
2.3 |
(16.9--26.0) |
Lincoln, Nebraska |
712 |
15.2 |
1.8 |
(11.6--18.7) |
Little Rock-North Little Rock, Arkansas |
1,247 |
23.3 |
1.5 |
(20.3--26.2) |
Los Angeles-Long Beach-Glendale, California¶ |
869 |
25.1 |
1.9 |
(21.3--28.8) |
Louisville, Kentucky-Indiana |
866 |
23.5 |
1.7 |
(20.1--26.8) |
Manchester-Nashua, New Hampshire |
1,442 |
20.4 |
1.2 |
(18.0--22.7) |
McAllen-Edinburg-Mission, Texas |
958 |
36.5 |
2.2 |
(32.1--40.8) |
Memphis, Tennessee-Mississippi-Arkansas |
989 |
28.3 |
2.2 |
(23.9--32.6) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,172 |
32.2 |
1.8 |
(28.6--35.7) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,543 |
18.2 |
1.6 |
(15.0--21.3) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,746 |
15.9 |
1.0 |
(13.9--17.8) |
Mobile, Alabama |
582 |
29.9 |
2.6 |
(24.8--34.9) |
Montgomery, Alabama |
514 |
21.9 |
2.4 |
(17.1--26.6) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
911 |
21.5 |
1.7 |
(18.1--24.8) |
Naples-Marco Island, Florida |
820 |
24.0 |
2.2 |
(19.6--28.3) |
Nashville-Davidson-Murfreesboro, Tennessee |
609 |
29.5 |
2.6 |
(24.4--34.5) |
Nassau-Suffolk, New York¶ |
815 |
21.1 |
1.7 |
(17.7--24.4) |
Newark-Union, New Jersey-Pennsylvania¶ |
2,015 |
23.6 |
1.4 |
(20.8--26.3) |
New Haven-Milford, Connecticut |
1,796 |
22.9 |
1.4 |
(20.1--25.6) |
New Orleans-Metairie-Kenner, Louisiana |
1,240 |
27.2 |
1.6 |
(24.0--30.3) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,413 |
27.3 |
1.1 |
(25.1--29.4) |
Nogales, Arizona |
528 |
25.5 |
4.7 |
(16.2--34.7) |
Norwich-New London, Connecticut |
500 |
20.4 |
2.3 |
(15.8--24.9) |
Ocala, Florida |
633 |
28.8 |
2.6 |
(23.7--33.8) |
Ogden-Clearfield, Utah |
843 |
20.1 |
1.9 |
(16.3--23.8) |
Okeechobee, Florida |
730 |
35.1 |
3.1 |
(29.0--41.1) |
Oklahoma City, Oklahoma |
2,283 |
27.3 |
1.2 |
(24.9--29.6) |
Olympia, Washington |
1,879 |
15.6 |
1.1 |
(13.4--17.7) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,550 |
20.4 |
1.4 |
(17.6--23.1) |
Orlando-Kissimmee, Florida |
2,702 |
23.7 |
1.4 |
(20.9--26.4) |
TABLE 20. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Palm Bay-Melbourne-Titusville, Florida |
557 |
23.4 |
2.2 |
(19.0--27.7) |
Palm Coast, Florida |
536 |
25.5 |
2.5 |
(20.6--30.4) |
Panama City-Lynn Haven, Florida |
545 |
29.3 |
3.0 |
(23.4--35.1) |
Pensacola-Ferry Pass-Brent, Florida |
1,032 |
22.1 |
1.6 |
(18.9--25.2) |
Philadelphia, Pennsylvania¶ |
2,878 |
21.9 |
1.3 |
(19.3--24.4) |
Phoenix-Mesa-Scottsdale, Arizona |
1,284 |
21.6 |
1.8 |
(18.0--25.1) |
Pittsburgh, Pennsylvania |
2,958 |
21.2 |
1.3 |
(18.6--23.7) |
Portland-South Portland-Biddeford, Maine |
2,100 |
15.8 |
1.0 |
(13.8--17.7) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,977 |
16.0 |
0.8 |
(14.4--17.5) |
Port St. Lucie-Fort Pierce, Florida |
1,084 |
23.4 |
1.9 |
(19.6--27.1) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,161 |
23.5 |
0.7 |
(22.1--24.8) |
Provo-Orem, Utah |
581 |
13.2 |
1.6 |
(10.0--16.3) |
Raleigh-Cary, North Carolina |
1,091 |
20.6 |
1.7 |
(17.2--23.9) |
Rapid City, South Dakota |
980 |
18.0 |
1.4 |
(15.2--20.7) |
Reno-Sparks, Nevada |
1,401 |
17.7 |
1.3 |
(15.1--20.2) |
Richmond, Virginia |
861 |
20.1 |
1.8 |
(16.5--23.6) |
Riverside-San Bernardino-Ontario, California |
685 |
27.6 |
2.3 |
(23.0--32.1) |
Riverton, Wyoming |
500 |
21.0 |
2.3 |
(16.4--25.5) |
Rockingham County-Strafford County, New Hampshire¶ |
1,618 |
19.6 |
1.2 |
(17.2--21.9) |
Rutland, Vermont |
682 |
18.7 |
1.7 |
(15.3--22.0) |
St. Louis, Missouri-Illinois |
1,572 |
23.5 |
1.5 |
(20.5--26.4) |
Salt Lake City, Utah |
2,137 |
19.6 |
1.2 |
(17.2--21.9) |
San Antonio, Texas |
1,422 |
24.2 |
1.5 |
(21.2--27.1) |
San Diego-Carlsbad-San Marcos, California |
512 |
20.9 |
2.3 |
(16.3--25.4) |
San Francisco-Oakland-Fremont, California |
779 |
17.8 |
1.8 |
(14.2--21.3) |
Santa Fe, New Mexico |
525 |
15.9 |
2.0 |
(11.9--19.8) |
Sarasota-Bradenton-Venice, Florida |
1,337 |
20.9 |
1.6 |
(17.7--24.0) |
Scranton-Wilkes-Barre, Pennsylvania |
2,526 |
25.7 |
2.0 |
(21.7--29.6) |
Seaford, Delaware |
1,238 |
23.2 |
1.5 |
(20.2--26.1) |
Seattle-Bellevue-Everett, Washington¶ |
7,189 |
15.3 |
0.6 |
(14.1--16.4) |
Sebring, Florida |
767 |
31.8 |
2.8 |
(26.3--37.2) |
Sioux City, Iowa-Nebraska-South Dakota |
892 |
23.6 |
2.5 |
(18.7--28.5) |
Sioux Falls, South Dakota |
978 |
20.0 |
1.5 |
(17.0--22.9) |
Spokane, Washington |
1,373 |
19.1 |
1.5 |
(16.1--22.0) |
Springfield, Massachusetts |
2,594 |
22.8 |
1.3 |
(20.2--25.3) |
Tacoma, Washington¶ |
1,907 |
18.9 |
1.2 |
(16.5--21.2) |
Tallahassee, Florida |
2,103 |
21.1 |
2.4 |
(16.3--25.8) |
Tampa-St. Petersburg-Clearwater, Florida |
2,194 |
23.4 |
1.4 |
(20.6--26.1) |
Toledo, Ohio |
991 |
21.9 |
1.7 |
(18.5--25.2) |
Topeka, Kansas |
786 |
25.5 |
1.9 |
(21.7--29.2) |
Tucson, Arizona |
748 |
22.8 |
2.2 |
(18.4--27.1) |
Tulsa, Oklahoma |
2,108 |
28.9 |
1.3 |
(26.3--31.4) |
Tuscaloosa, Alabama |
541 |
31.2 |
2.7 |
(25.9--36.4) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,157 |
20.6 |
1.7 |
(17.2--23.9) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,496 |
17.1 |
1.2 |
(14.7--19.4) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,814 |
20.9 |
1.2 |
(18.5--23.2) |
Wauchula, Florida |
695 |
N/A** |
N/A |
N/A |
Wenatchee, Washington |
1,077 |
22.6 |
1.8 |
(19.0--26.1) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
549 |
20.8 |
2.5 |
(15.9--25.7) |
Wichita, Kansas |
1,564 |
22.5 |
1.3 |
(19.9--25.0) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,770 |
21.8 |
1.2 |
(19.4--24.1) |
Wilmington, North Carolina |
615 |
20.6 |
2.2 |
(16.2--24.9) |
Worcester, Massachusetts |
2,758 |
20.9 |
1.1 |
(18.7--23.0) |
Yakima, Washington |
753 |
26.1 |
2.2 |
(21.7--30.4) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,044 |
24.2 |
2.4 |
(19.4--28.9) |
Yuma, Arizona |
564 |
28.7 |
2.4 |
(23.9--33.4) |
Median |
22.4 |
|||
Range |
8.8--37.5 |
|||
* Any physical activities or exercises (e.g., running, calisthenics, golf, gardening, or walking for exercise). † Standard error. § Confidence interval. ¶ Metropolitan division. ** Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 21. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
633 |
28.8 |
2.6 |
(23.7--33.8) |
Martin County, Florida |
550 |
20.7 |
2.6 |
(15.6--25.7) |
Miami-Dade County, Florida |
613 |
35.8 |
2.5 |
(30.9--40.7) |
Monroe County, Florida |
507 |
27.6 |
4.2 |
(19.3--35.8) |
Nassau County, Florida |
545 |
25.7 |
2.3 |
(21.1--30.2) |
Okeechobee County, Florida |
730 |
35.1 |
3.1 |
(29.0--41.1) |
Orange County, Florida |
825 |
23.5 |
2.3 |
(18.9--28.0) |
Osceola County, Florida |
719 |
26.7 |
2.3 |
(22.1--31.2) |
Palm Beach County, Florida |
549 |
20.8 |
2.5 |
(15.9--25.7) |
Pasco County, Florida |
557 |
22.3 |
2.1 |
(18.1--26.4) |
Pinellas County, Florida |
544 |
22.2 |
2.2 |
(17.8--26.5) |
Polk County, Florida |
525 |
25.6 |
2.3 |
(21.0--30.1) |
St. Johns County, Florida |
564 |
18.1 |
2.4 |
(13.3--22.8) |
St. Lucie County, Florida |
534 |
24.7 |
2.4 |
(19.9--29.4) |
Santa Rosa County, Florida |
502 |
19.7 |
2.1 |
(15.5--23.8) |
Sarasota County, Florida |
832 |
20.0 |
2.2 |
(15.6--24.3) |
Seminole County, Florida |
539 |
19.2 |
2.0 |
(15.2--23.1) |
Volusia County, Florida |
514 |
21.8 |
2.3 |
(17.2--26.3) |
Wakulla County, Florida |
552 |
23.7 |
2.8 |
(18.2--29.1) |
Clayton County, Georgia |
342 |
24.5 |
3.0 |
(18.6--30.3) |
Cobb County, Georgia |
411 |
13.2 |
1.8 |
(9.6--16.7) |
DeKalb County, Georgia |
430 |
19.9 |
2.9 |
(14.2--25.5) |
Fulton County, Georgia |
412 |
22.8 |
3.0 |
(16.9--28.6) |
Gwinnett County, Georgia |
319 |
21.2 |
2.8 |
(15.7--26.6) |
Hawaii County, Hawaii |
1,520 |
17.7 |
1.3 |
(15.1--20.2) |
Honolulu County, Hawaii |
2,920 |
17.6 |
0.8 |
(16.0--19.1) |
Kauai County, Hawaii |
652 |
16.8 |
1.9 |
(13.0--20.5) |
Maui County, Hawaii |
1,511 |
21.1 |
1.9 |
(17.3--24.8) |
Ada County, Idaho |
649 |
15.1 |
1.8 |
(11.5--18.6) |
Bonneville County, Idaho |
393 |
18.9 |
2.3 |
(14.3--23.4) |
Canyon County, Idaho |
489 |
23.3 |
2.3 |
(18.7--27.8) |
Nez Perce County, Idaho |
275 |
18.8 |
2.6 |
(13.7--23.8) |
Cook County, Illinois |
1,656 |
22.7 |
1.4 |
(19.9--25.4) |
DuPage County, Illinois |
381 |
14.5 |
2.3 |
(9.9--19.0) |
Lake County, Illinois |
296 |
19.1 |
2.6 |
(14.0--24.1) |
Lake County, Indiana |
572 |
26.9 |
3.1 |
(20.8--32.9) |
Marion County, Indiana |
1,128 |
26.6 |
1.9 |
(22.8--30.3) |
Polk County, Iowa |
733 |
20.9 |
1.7 |
(17.5--24.2) |
Johnson County, Kansas |
1,547 |
15.4 |
1.1 |
(13.2--17.5) |
Sedgwick County, Kansas |
1,178 |
21.8 |
1.5 |
(18.8--24.7) |
Shawnee County, Kansas |
553 |
24.7 |
2.3 |
(20.1--29.2) |
Wyandotte County, Kansas |
350 |
25.6 |
2.8 |
(20.1--31.0) |
Jefferson County, Kentucky |
478 |
23.8 |
2.3 |
(19.2--28.3) |
Calcasieu Parish, Louisiana |
518 |
30.5 |
2.6 |
(25.4--35.5) |
East Baton Rouge Parish, Louisiana |
507 |
25.1 |
2.4 |
(20.3--29.8) |
Jefferson Parish, Louisiana |
422 |
29.7 |
2.7 |
(24.4--34.9) |
Orleans Parish, Louisiana |
295 |
21.9 |
3.0 |
(16.0--27.7) |
St. Tammany Parish, Louisiana |
333 |
23.7 |
3.0 |
(17.8--29.5) |
Cumberland County, Maine |
1,086 |
13.6 |
1.2 |
(11.2--15.9) |
Kennebec County, Maine |
548 |
23.7 |
2.3 |
(19.1--28.2) |
Penobscot County, Maine |
660 |
22.7 |
1.9 |
(18.9--26.4) |
Sagadahoc County, Maine |
279 |
16.1 |
2.6 |
(11.0--21.1) |
York County, Maine |
735 |
18.7 |
1.7 |
(15.3--22.0) |
Anne Arundel County, Maryland |
557 |
21.3 |
2.1 |
(17.1--25.4) |
Baltimore County, Maryland |
983 |
23.8 |
1.6 |
(20.6--26.9) |
Charles County, Maryland |
298 |
17.3 |
2.5 |
(12.4--22.2) |
Frederick County, Maryland |
543 |
19.2 |
2.1 |
(15.0--23.3) |
Harford County, Maryland |
307 |
25.8 |
3.1 |
(19.7--31.8) |
Howard County, Maryland |
339 |
17.2 |
2.8 |
(11.7--22.6) |
Montgomery County, Maryland |
1,102 |
19.6 |
1.6 |
(16.4--22.7) |
Prince George´s County, Maryland |
648 |
26.7 |
2.3 |
(22.1--31.2) |
Queen Anne´s County, Maryland |
256 |
20.5 |
2.9 |
(14.8--26.1) |
Washington County, Maryland |
443 |
24.5 |
2.6 |
(19.4--29.5) |
TABLE 21. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
501 |
27.9 |
2.5 |
(23.0--32.8) |
Barnstable County, Massachusetts |
585 |
14.6 |
1.9 |
(10.8--18.3) |
Bristol County, Massachusetts |
3,668 |
24.4 |
1.2 |
(22.0--26.7) |
Essex County, Massachusetts |
2,977 |
21.7 |
1.5 |
(18.7--24.6) |
Hampden County, Massachusetts |
2,019 |
28.0 |
1.6 |
(24.8--31.1) |
Hampshire County, Massachusetts |
367 |
11.1 |
1.8 |
(7.5--14.6) |
Middlesex County, Massachusetts |
3,965 |
16.3 |
0.9 |
(14.5--18.0) |
Norfolk County, Massachusetts |
1,259 |
18.2 |
1.3 |
(15.6--20.7) |
Plymouth County, Massachusetts |
843 |
21.3 |
2.0 |
(17.3--25.2) |
Suffolk County, Massachusetts |
2,401 |
23.6 |
1.4 |
(20.8--26.3) |
Worcester County, Massachusetts |
2,758 |
20.9 |
1.1 |
(18.7--23.0) |
Kent County, Michigan |
379 |
15.6 |
2.3 |
(11.0--20.1) |
Macomb County, Michigan |
410 |
18.8 |
2.1 |
(14.6--22.9) |
Oakland County, Michigan |
783 |
16.4 |
1.8 |
(12.8--19.9) |
Wayne County, Michigan |
1,657 |
24.3 |
1.5 |
(21.3--27.2) |
Anoka County, Minnesota |
271 |
18.1 |
3.0 |
(12.2--23.9) |
Dakota County, Minnesota |
348 |
16.3 |
2.4 |
(11.5--21.0) |
Hennepin County, Minnesota |
943 |
15.5 |
1.9 |
(11.7--19.2) |
Ramsey County, Minnesota |
413 |
14.0 |
2.2 |
(9.6--18.3) |
DeSoto County, Mississippi |
262 |
26.3 |
3.5 |
(19.4--33.1) |
Harrison County, Mississippi |
383 |
27.5 |
2.9 |
(21.8--33.1) |
Hinds County, Mississippi |
524 |
29.0 |
2.6 |
(23.9--34.0) |
Rankin County, Mississippi |
298 |
27.5 |
3.0 |
(21.6--33.3) |
Jackson County, Missouri |
496 |
25.7 |
2.3 |
(21.1--30.2) |
St. Louis County, Missouri |
458 |
21.5 |
2.5 |
(16.6--26.4) |
St. Louis City, Missouri |
470 |
33.4 |
3.9 |
(25.7--41.0) |
Flathead County, Montana |
555 |
19.1 |
2.0 |
(15.1--23.0) |
Yellowstone County, Montana |
449 |
20.7 |
2.4 |
(15.9--25.4) |
Dakota County, Nebraska |
482 |
31.7 |
2.6 |
(26.6--36.7) |
Douglas County, Nebraska |
604 |
22.4 |
2.1 |
(18.2--26.5) |
Hall County, Nebraska |
377 |
27.5 |
2.6 |
(22.4--32.5) |
Lancaster County, Nebraska |
551 |
15.3 |
1.9 |
(11.5--19.0) |
Sarpy County, Nebraska |
383 |
14.2 |
2.3 |
(9.6--18.7) |
Clark County, Nevada |
1,367 |
26.0 |
1.4 |
(23.2--28.7) |
Washoe County, Nevada |
1,378 |
17.2 |
1.2 |
(14.8--19.5) |
Grafton County, New Hampshire |
513 |
16.7 |
2.2 |
(12.3--21.0) |
Hillsborough County, New Hampshire |
1,442 |
20.4 |
1.2 |
(18.0--22.7) |
Merrimack County, New Hampshire |
647 |
14.6 |
1.6 |
(11.4--17.7) |
Rockingham County, New Hampshire |
997 |
18.0 |
1.4 |
(15.2--20.7) |
Strafford County, New Hampshire |
621 |
23.3 |
2.3 |
(18.7--27.8) |
Bergen County, New Jersey |
385 |
25.3 |
2.9 |
(19.6--30.9) |
Burlington County, New Jersey |
346 |
22.7 |
2.9 |
(17.0--28.3) |
Camden County, New Jersey |
325 |
30.1 |
3.5 |
(23.2--36.9) |
Essex County, New Jersey |
543 |
27.0 |
2.5 |
(22.1--31.9) |
Gloucester County, New Jersey |
338 |
25.5 |
3.5 |
(18.6--32.3) |
Hudson County, New Jersey |
575 |
36.3 |
2.8 |
(30.8--41.7) |
Hunterdon County, New Jersey |
367 |
14.2 |
2.2 |
(9.8--18.5) |
Middlesex County, New Jersey |
385 |
23.1 |
2.7 |
(17.8--28.3) |
Monmouth County, New Jersey |
327 |
23.6 |
2.8 |
(18.1--29.0) |
Morris County, New Jersey |
420 |
21.1 |
2.5 |
(16.2--26.0) |
Ocean County, New Jersey |
332 |
26.0 |
3.4 |
(19.3--32.6) |
Passaic County, New Jersey |
283 |
30.0 |
3.5 |
(23.1--36.8) |
Somerset County, New Jersey |
362 |
18.6 |
2.5 |
(13.7--23.5) |
Sussex County, New Jersey |
337 |
15.0 |
2.0 |
(11.0--18.9) |
Union County, New Jersey |
314 |
26.2 |
3.2 |
(19.9--32.4) |
Warren County, New Jersey |
309 |
26.0 |
3.2 |
(19.7--32.2) |
Bernalillo County, New Mexico |
1,101 |
17.6 |
1.4 |
(14.8--20.3) |
Dona Ana County, New Mexico |
713 |
24.5 |
2.0 |
(20.5--28.4) |
Sandoval County, New Mexico |
508 |
21.4 |
2.8 |
(15.9--26.8) |
San Juan County, New Mexico |
682 |
21.4 |
2.1 |
(17.2--25.5) |
Santa Fe County, New Mexico |
525 |
15.9 |
2.0 |
(11.9--19.8) |
Valencia County, New Mexico |
316 |
27.8 |
3.2 |
(21.5--34.0) |
Erie County, New York |
405 |
17.9 |
2.2 |
(13.5--22.2) |
TABLE 21. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
415 |
30.3 |
2.7 |
(25.0--35.5) |
Nassau County, New York |
378 |
21.0 |
2.5 |
(16.1--25.9) |
New York County, New York |
566 |
23.5 |
2.4 |
(18.7--28.2) |
Queens County, New York |
443 |
27.4 |
2.8 |
(21.9--32.8) |
Suffolk County, New York |
437 |
21.3 |
2.5 |
(16.4--26.2) |
Westchester County, New York |
280 |
19.7 |
2.6 |
(14.6--24.7) |
Buncombe County, North Carolina |
354 |
22.4 |
2.9 |
(16.7--28.0) |
Cabarrus County, North Carolina |
359 |
29.7 |
3.4 |
(23.0--36.3) |
Catawba County, North Carolina |
408 |
22.0 |
2.6 |
(16.9--27.0) |
Cumberland County, North Carolina |
380 |
23.1 |
2.7 |
(17.8--28.3) |
Durham County, North Carolina |
332 |
23.5 |
3.4 |
(16.8--30.1) |
Gaston County, North Carolina |
390 |
28.7 |
2.7 |
(23.4--33.9) |
Guilford County, North Carolina |
387 |
19.5 |
3.1 |
(13.4--25.5) |
Henderson County, North Carolina |
296 |
18.7 |
2.8 |
(13.2--24.1) |
Johnston County, North Carolina |
439 |
33.5 |
3.4 |
(26.8--40.1) |
Mecklenburg County, North Carolina |
684 |
17.0 |
1.9 |
(13.2--20.7) |
New Hanover County, North Carolina |
390 |
18.2 |
2.6 |
(13.1--23.2) |
Orange County, North Carolina |
346 |
13.2 |
2.3 |
(8.6--17.7) |
Randolph County, North Carolina |
373 |
26.5 |
2.8 |
(21.0--31.9) |
Union County, North Carolina |
376 |
25.0 |
2.9 |
(19.3--30.6) |
Wake County, North Carolina |
606 |
18.1 |
1.9 |
(14.3--21.8) |
Burleigh County, North Dakota |
499 |
20.5 |
2.1 |
(16.3--24.6) |
Cass County, North Dakota |
675 |
17.5 |
1.7 |
(14.1--20.8) |
Cuyahoga County, Ohio |
765 |
25.4 |
2.0 |
(21.4--29.3) |
Franklin County, Ohio |
759 |
24.0 |
2.0 |
(20.0--27.9) |
Hamilton County, Ohio |
828 |
20.2 |
1.7 |
(16.8--23.5) |
Licking County, Ohio |
253 |
23.5 |
3.1 |
(17.4--29.5) |
Lucas County, Ohio |
787 |
22.7 |
1.7 |
(19.3--26.0) |
Mahoning County, Ohio |
820 |
23.4 |
1.9 |
(19.6--27.1) |
Montgomery County, Ohio |
751 |
22.7 |
1.9 |
(18.9--26.4) |
Stark County, Ohio |
797 |
24.2 |
1.9 |
(20.4--27.9) |
Summit County, Ohio |
751 |
24.1 |
2.0 |
(20.1--28.0) |
Canadian County, Oklahoma |
250 |
25.5 |
3.1 |
(19.4--31.5) |
Cleveland County, Oklahoma |
412 |
23.3 |
2.6 |
(18.2--28.3) |
Oklahoma County, Oklahoma |
1,282 |
28.5 |
1.5 |
(25.5--31.4) |
Tulsa County, Oklahoma |
1,519 |
27.0 |
1.5 |
(24.0--29.9) |
Clackamas County, Oregon |
485 |
18.8 |
2.2 |
(14.4--23.1) |
Multnomah County, Oregon |
820 |
14.8 |
1.4 |
(12.0--17.5) |
Washington County, Oregon |
560 |
14.0 |
1.8 |
(10.4--17.5) |
Allegheny County, Pennsylvania |
641 |
18.4 |
1.6 |
(15.2--21.5) |
Delaware County, Pennsylvania |
274 |
23.1 |
3.1 |
(17.0--29.1) |
Fayette County, Pennsylvania |
1,630 |
29.5 |
1.9 |
(25.7--33.2) |
Luzerne County, Pennsylvania |
2,336 |
26.4 |
1.7 |
(23.0--29.7) |
Montgomery County, Pennsylvania |
338 |
14.8 |
2.1 |
(10.6--18.9) |
Philadelphia County, Pennsylvania |
1,823 |
28.8 |
2.3 |
(24.2--33.3) |
Westmoreland County, Pennsylvania |
293 |
22.1 |
3.2 |
(15.8--28.3) |
Kent County, Rhode Island |
659 |
24.1 |
2.1 |
(19.9--28.2) |
Newport County, Rhode Island |
363 |
21.9 |
2.7 |
(16.6--27.1) |
Providence County, Rhode Island |
2,741 |
24.9 |
1.1 |
(22.7--27.0) |
Washington County, Rhode Island |
517 |
16.9 |
2.1 |
(12.7--21.0) |
Aiken County, South Carolina |
686 |
21.8 |
1.9 |
(18.0--25.5) |
Beaufort County, South Carolina |
854 |
14.8 |
2.0 |
(10.8--18.7) |
Berkeley County, South Carolina |
329 |
24.1 |
2.9 |
(18.4--29.7) |
Charleston County, South Carolina |
690 |
19.5 |
2.0 |
(15.5--23.4) |
Dorchester County, South Carolina |
253 |
16.7 |
2.4 |
(11.9--21.4) |
Greenville County, South Carolina |
557 |
23.4 |
2.5 |
(18.5--28.3) |
Horry County, South Carolina |
911 |
21.5 |
1.7 |
(18.1--24.8) |
Lexington County, South Carolina |
333 |
19.0 |
2.3 |
(14.4--23.5) |
Richland County, South Carolina |
442 |
25.0 |
2.5 |
(20.1--29.9) |
York County, South Carolina |
282 |
22.5 |
2.9 |
(16.8--28.1) |
Minnehaha County, South Dakota |
727 |
19.5 |
1.7 |
(16.1--22.8) |
Pennington County, South Dakota |
770 |
18.3 |
1.6 |
(15.1--21.4) |
Davidson County, Tennessee |
284 |
33.2 |
3.7 |
(25.9--40.4) |
TABLE 21. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
685 |
30.3 |
2.3 |
(25.7--34.8) |
Shelby County, Tennessee |
300 |
27.4 |
3.1 |
(21.3--33.4) |
Sullivan County, Tennessee |
424 |
34.2 |
2.9 |
(28.5--39.8) |
Bexar County, Texas |
1,062 |
23.2 |
1.6 |
(20.0--26.3) |
Cameron County, Texas |
625 |
35.2 |
2.5 |
(30.3--40.1) |
Collin County, Texas |
262 |
11.9 |
2.3 |
(7.3--16.4) |
Dallas County, Texas |
856 |
28.3 |
2.3 |
(23.7--32.8) |
Denton County, Texas |
258 |
18.6 |
2.9 |
(12.9--24.2) |
El Paso County, Texas |
1,514 |
26.9 |
1.5 |
(23.9--29.8) |
Harris County, Texas |
976 |
27.7 |
2.1 |
(23.5--31.8) |
Hidalgo County, Texas |
958 |
36.5 |
2.2 |
(32.1--40.8) |
Tarrant County, Texas |
1,149 |
22.6 |
1.6 |
(19.4--25.7) |
Travis County, Texas |
797 |
16.5 |
1.6 |
(13.3--19.6) |
Webb County, Texas |
509 |
34.0 |
2.9 |
(28.3--39.6) |
Williamson County, Texas |
362 |
16.2 |
2.6 |
(11.1--21.2) |
Davis County, Utah |
421 |
19.3 |
2.5 |
(14.4--24.2) |
Salt Lake County, Utah |
1,646 |
19.6 |
1.3 |
(17.0--22.1) |
Tooele County, Utah |
251 |
25.3 |
3.2 |
(19.0--31.5) |
Utah County, Utah |
547 |
12.8 |
1.6 |
(9.6--15.9) |
Weber County, Utah |
404 |
19.3 |
2.3 |
(14.7--23.8) |
Chittenden County, Vermont |
1,422 |
14.7 |
1.2 |
(12.3--17.0) |
Franklin County, Vermont |
468 |
22.0 |
2.1 |
(17.8--26.1) |
Orange County, Vermont |
373 |
22.8 |
2.6 |
(17.7--27.8) |
Rutland County, Vermont |
682 |
18.7 |
1.7 |
(15.3--22.0) |
Washington County, Vermont |
696 |
14.3 |
1.5 |
(11.3--17.2) |
Windsor County, Vermont |
725 |
20.7 |
2.0 |
(16.7--24.6) |
Arlington County, Virginia |
297 |
12.6 |
2.2 |
(8.2--16.9) |
Fairfax County, Virginia |
250 |
11.0 |
2.3 |
(6.4--15.5) |
Prince William County, Virginia |
282 |
21.8 |
4.0 |
(13.9--29.6) |
Alexandria city, Virginia |
264 |
20.2 |
4.3 |
(11.7--28.6) |
Benton County, Washington |
451 |
14.2 |
1.8 |
(10.6--17.7) |
Chelan County, Washington |
546 |
22.6 |
2.3 |
(18.0--27.1) |
Clark County, Washington |
1,702 |
18.4 |
1.2 |
(16.0--20.7) |
Douglas County, Washington |
531 |
21.9 |
2.5 |
(17.0--26.8) |
King County, Washington |
4,442 |
13.8 |
0.6 |
(12.6--14.9) |
Kitsap County, Washington |
1,009 |
15.2 |
1.4 |
(12.4--17.9) |
Pierce County, Washington |
1,907 |
19.1 |
1.2 |
(16.7--21.4) |
Snohomish County, Washington |
2,747 |
16.8 |
0.9 |
(15.0--18.5) |
Spokane County, Washington |
1,373 |
19.1 |
1.5 |
(16.1--22.0) |
Thurston County, Washington |
1,879 |
15.6 |
1.1 |
(13.4--17.7) |
Whatcom County, Washington |
1,175 |
15.3 |
1.4 |
(12.5--18.0) |
Yakima County, Washington |
753 |
26.1 |
2.2 |
(21.7--30.4) |
Kanawha County, West Virginia |
508 |
25.1 |
2.2 |
(20.7--29.4) |
Milwaukee County, Wisconsin |
1,188 |
21.4 |
2.1 |
(17.2--25.5) |
Fremont County, Wyoming |
500 |
21.0 |
2.3 |
(16.4--25.5) |
Laramie County, Wyoming |
910 |
23.2 |
1.7 |
(19.8--26.5) |
Natrona County, Wyoming |
756 |
22.2 |
2.0 |
(18.2--26.1) |
Median |
22.3 |
|||
Range |
8.6--37.5 |
|||
* Any physical activities or exercises (e.g., running, calisthenics, golf, gardening, or walking for exercise). † Standard error. § Confidence interval. ¶ Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 23. (Continued) Estimated prevalence of adults aged ≥18 years who engaged in moderate or vigorous physical activity,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System, United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Grand Island, Nebraska |
510 |
48.7 |
2.8 |
(43.2--54.1) |
Grand Rapids-Wyoming, Michigan |
475 |
57.4 |
2.8 |
(51.9--62.8) |
Greeley, Colorado |
499 |
45.3 |
2.9 |
(39.6--50.9) |
Greensboro-High Point, North Carolina |
786 |
43.7 |
2.9 |
(38.0--49.3) |
Greenville, South Carolina |
811 |
46.9 |
2.4 |
(42.1--51.6) |
Gulfport-Biloxi, Mississippi |
466 |
46.5 |
3.0 |
(40.6--52.3) |
Hagerstown-Martinsburg, Maryland-West Virginia |
673 |
49.4 |
2.8 |
(43.9--54.8) |
Hartford-West Hartford-East Hartford, Connecticut |
2,219 |
52.3 |
1.5 |
(49.3--55.2) |
Hickory-Morganton-Lenoir, North Carolina |
820 |
39.1 |
2.5 |
(34.2--44.0) |
Hilo, Hawaii |
1,475 |
52.7 |
1.6 |
(49.5--55.8) |
Hilton Head Island-Beaufort, South Carolina |
884 |
52.4 |
2.5 |
(47.5--57.3) |
Homosassa Springs, Florida |
523 |
42.9 |
2.9 |
(37.2--48.5) |
Honolulu, Hawaii |
2,828 |
50.3 |
1.2 |
(47.9--52.6) |
Houston-Sugar Land-Baytown, Texas |
1,436 |
48.0 |
1.9 |
(44.2--51.7) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
553 |
42.9 |
3.0 |
(37.0--48.7) |
Idaho Falls, Idaho |
467 |
50.3 |
2.8 |
(44.8--55.7) |
Indianapolis-Carmel, Indiana |
1,450 |
48.7 |
1.8 |
(45.1--52.2) |
Jackson, Mississippi |
1,090 |
40.3 |
1.9 |
(36.5--44.0) |
Jacksonville, Florida |
3,692 |
46.4 |
1.2 |
(44.0--48.7) |
Kahului-Wailuku, Hawaii |
1,467 |
53.8 |
1.9 |
(50.0--57.5) |
Kalispell, Montana |
514 |
57.8 |
2.6 |
(52.7--62.8) |
Kansas City, Missouri-Kansas |
3,190 |
46.5 |
1.3 |
(43.9--49.0) |
Kapaa, Hawaii |
639 |
56.1 |
2.4 |
(51.3--60.8) |
Kennewick-Richland-Pasco, Washington |
645 |
52.8 |
2.8 |
(47.3--58.2) |
Key West-Marathon, Florida |
467 |
54.2 |
3.9 |
(46.5--61.8) |
Kingsport-Bristol, Tennessee-Virginia |
543 |
41.8 |
2.9 |
(36.1--47.4) |
Lake Charles, Louisiana |
479 |
38.0 |
3.0 |
(32.1--43.8) |
Lake City, Florida |
534 |
45.4 |
3.6 |
(38.3--52.4) |
Lakeland-Winter Haven, Florida |
482 |
42.4 |
2.8 |
(36.9--47.8) |
Laredo, Texas |
474 |
41.7 |
3.1 |
(35.6--47.7) |
Las Cruces, New Mexico |
665 |
48.7 |
2.6 |
(43.6--53.7) |
Las Vegas-Paradise, Nevada |
1,269 |
46.7 |
1.7 |
(43.3--50.0) |
Lebanon, New Hampshire-Vermont |
1,502 |
60.6 |
1.7 |
(57.2--63.9) |
Lewiston, Idaho-Washington |
493 |
48.7 |
2.9 |
(43.0--54.3) |
Lincoln, Nebraska |
666 |
59.9 |
2.8 |
(54.4--65.3) |
Little Rock-North Little Rock, Arkansas |
1,145 |
46.7 |
1.9 |
(42.9--50.4) |
Los Angeles-Long Beach-Glendale, California¶ |
800 |
47.4 |
2.2 |
(43.0--51.7) |
Louisville, Kentucky-Indiana |
755 |
48.9 |
2.4 |
(44.1--53.6) |
Manchester-Nashua, New Hampshire |
1,334 |
53.2 |
1.7 |
(49.8--56.5) |
McAllen-Edinburg-Mission, Texas |
888 |
45.8 |
2.4 |
(41.0--50.5) |
Memphis, Tennessee-Mississippi-Arkansas |
913 |
40.6 |
2.9 |
(34.9--46.2) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,059 |
43.6 |
2.0 |
(39.6--47.5) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,398 |
54.1 |
2.3 |
(49.5--58.6) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,714 |
49.7 |
1.3 |
(47.1--52.2) |
Mobile, Alabama |
539 |
39.6 |
3.1 |
(33.5--45.6) |
Montgomery, Alabama |
495 |
43.6 |
3.7 |
(36.3--50.8) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
819 |
50.5 |
2.3 |
(45.9--55.0) |
Naples-Marco Island, Florida |
757 |
49.5 |
2.8 |
(44.0--54.9) |
Nashville-Davidson-Murfreesboro, Tennessee |
566 |
41.3 |
2.8 |
(35.8--46.7) |
Nassau-Suffolk, New York¶ |
753 |
48.7 |
2.4 |
(43.9--53.4) |
Newark-Union, New Jersey-Pennsylvania¶ |
1,845 |
52.0 |
1.9 |
(48.2--55.7) |
New Haven-Milford, Connecticut |
1,640 |
51.9 |
1.8 |
(48.3--55.4) |
New Orleans-Metairie-Kenner, Louisiana |
1,144 |
37.9 |
1.9 |
(34.1--41.6) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,087 |
47.9 |
1.3 |
(45.3--50.4) |
Nogales, Arizona |
482 |
N/A** |
N/A |
N/A |
Norwich-New London, Connecticut |
459 |
50.6 |
3.1 |
(44.5--56.6) |
Ocala, Florida |
573 |
48.4 |
3.1 |
(42.3--54.4) |
Ogden-Clearfield, Utah |
797 |
53.0 |
2.2 |
(48.6--57.3) |
Okeechobee, Florida |
664 |
39.4 |
3.2 |
(33.1--45.6) |
Oklahoma City, Oklahoma |
2,119 |
44.3 |
1.4 |
(41.5--47.0) |
Olympia, Washington |
1,782 |
55.7 |
1.5 |
(52.7--58.6) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,471 |
52.2 |
1.9 |
(48.4--55.9) |
Orlando-Kissimmee, Florida |
2,476 |
45.5 |
1.8 |
(41.9--49.0) |
Palm Bay-Melbourne-Titusville, Florida |
513 |
50.7 |
2.9 |
(45.0--56.3) |
Palm Coast, Florida |
497 |
53.2 |
3.1 |
(47.1--59.2) |
TABLE 23. (Continued) Estimated prevalence of adults aged ≥18 years who engaged in moderate or vigorous physical activity,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System, United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Panama City-Lynn Haven, Florida |
515 |
48.2 |
3.3 |
(41.7--54.6) |
Pensacola-Ferry Pass-Brent, Florida |
968 |
52.5 |
2.1 |
(48.3--56.6) |
Philadelphia, Pennsylvania¶ |
2,633 |
49.8 |
1.7 |
(46.4--53.1) |
Phoenix-Mesa-Scottsdale, Arizona |
1,188 |
52.2 |
2.3 |
(47.6--56.7) |
Pittsburgh, Pennsylvania |
2,719 |
48.4 |
1.8 |
(44.8--51.9) |
Portland-South Portland-Biddeford, Maine |
1,970 |
58.1 |
1.4 |
(55.3--60.8) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,740 |
55.7 |
1.2 |
(53.3--58.0) |
Port St. Lucie-Fort Pierce, Florida |
987 |
52.0 |
2.2 |
(47.6--56.3) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
7,546 |
50.9 |
0.9 |
(49.1--52.6) |
Provo-Orem, Utah |
556 |
64.0 |
2.6 |
(58.9--69.0) |
Raleigh-Cary, North Carolina |
1,036 |
45.2 |
2.3 |
(40.6--49.7) |
Rapid City, South Dakota |
926 |
53.5 |
2.1 |
(49.3--57.6) |
Reno-Sparks, Nevada |
1,321 |
55.7 |
1.6 |
(52.5--58.8) |
Richmond, Virginia |
791 |
50.6 |
2.4 |
(45.8--55.3) |
Riverside-San Bernardino-Ontario, California |
628 |
46.6 |
2.6 |
(41.5--51.6) |
Riverton, Wyoming |
468 |
57.5 |
3.0 |
(51.6--63.3) |
Rockingham County-Strafford County, New Hampshire¶ |
1,513 |
52.6 |
1.6 |
(49.4--55.7) |
Rutland, Vermont |
642 |
57.9 |
2.3 |
(53.3--62.4) |
St. Louis, Missouri-Illinois |
1,462 |
48.9 |
2.0 |
(44.9--52.8) |
Salt Lake City, Utah |
1,992 |
54.4 |
1.5 |
(51.4--57.3) |
San Antonio, Texas |
1,333 |
53.0 |
1.9 |
(49.2--56.7) |
San Diego-Carlsbad-San Marcos, California |
477 |
53.3 |
3.0 |
(47.4--59.1) |
San Francisco-Oakland-Fremont, California |
737 |
50.8 |
2.4 |
(46.0--55.5) |
Santa Fe, New Mexico |
480 |
56.7 |
3.0 |
(50.8--62.5) |
Sarasota-Bradenton-Venice, Florida |
1,234 |
51.4 |
2.1 |
(47.2--55.5) |
Scranton-Wilkes-Barre, Pennsylvania |
2,305 |
51.6 |
2.6 |
(46.5--56.6) |
Seaford, Delaware |
1,161 |
49.0 |
1.9 |
(45.2--52.7) |
Seattle-Bellevue-Everett, Washington¶ |
6,853 |
53.2 |
0.8 |
(51.6--54.7) |
Sebring, Florida |
698 |
44.2 |
3.1 |
(38.1--50.2) |
Sioux City, Iowa-Nebraska-South Dakota |
824 |
41.1 |
3.2 |
(34.8--47.3) |
Sioux Falls, South Dakota |
899 |
46.9 |
2.0 |
(42.9--50.8) |
Spokane, Washington |
1,302 |
54.5 |
1.9 |
(50.7--58.2) |
Springfield, Massachusetts |
2,425 |
53.0 |
1.7 |
(49.6--56.3) |
Tacoma, Washington¶ |
1,802 |
52.8 |
1.5 |
(49.8--55.7) |
Tallahassee, Florida |
1,913 |
49.9 |
2.8 |
(44.4--55.3) |
Tampa-St. Petersburg-Clearwater, Florida |
1,994 |
47.1 |
1.7 |
(43.7--50.4) |
Toledo, Ohio |
901 |
50.6 |
2.3 |
(46.0--55.1) |
Topeka, Kansas |
741 |
44.0 |
2.3 |
(39.4--48.5) |
Tucson, Arizona |
707 |
55.0 |
2.6 |
(49.9--60.0) |
Tulsa, Oklahoma |
1,943 |
46.0 |
1.5 |
(43.0--48.9) |
Tuscaloosa, Alabama |
505 |
39.8 |
3.1 |
(33.7--45.8) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,065 |
52.8 |
2.5 |
(47.9--57.7) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,401 |
48.6 |
1.8 |
(45.0--52.1) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,333 |
46.7 |
1.7 |
(43.3--50.0) |
Wauchula, Florida |
629 |
N/A |
N/A |
N/A |
Wenatchee, Washington |
1,014 |
51.0 |
2.2 |
(46.6--55.3) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
507 |
52.4 |
3.0 |
(46.5--58.2) |
Wichita, Kansas |
1,483 |
47.0 |
1.7 |
(43.6--50.3) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,653 |
47.1 |
1.7 |
(43.7--50.4) |
Wilmington, North Carolina |
586 |
45.4 |
2.9 |
(39.7--51.0) |
Worcester, Massachusetts |
2,563 |
50.4 |
1.5 |
(47.4--53.3) |
Yakima, Washington |
708 |
50.7 |
2.5 |
(45.8--55.6) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
964 |
46.5 |
2.9 |
(40.8--52.1) |
Yuma, Arizona |
512 |
53.5 |
2.7 |
(48.2--58.7) |
Median |
50.3 |
|||
Range |
37.3--67.1 |
|||
* Moderate physical activity (e.g., brisk walking, bicycling, vacuuming, gardening) or anything else that causes a small increase in breathing and heart rate on at least 5 days per week for at least 30 minutes each day or vigorous physical activity (e.g., running, aerobics, heavy yard work) or anything else that causes a large increase in breathing and heart rate on 3 or more days per week for at least 20 minutes each day. † Standard error. § Confidence interval. ¶ Metropolitan division. ** Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 24. (Continued) Estimated prevalence of adults aged ≥18 years who engaged in moderate or vigorous physical activity,* by county --- Behavioral Risk Factor Surveillance System, United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
573 |
48.4 |
3.1 |
(42.3--54.4) |
Martin County, Florida |
500 |
56.2 |
3.0 |
(50.3--62.0) |
Miami-Dade County, Florida |
548 |
41.7 |
2.8 |
(36.2--47.1) |
Monroe County, Florida |
467 |
54.2 |
3.9 |
(46.5--61.8) |
Nassau County, Florida |
507 |
51.9 |
3.1 |
(45.8--57.9) |
Okeechobee County, Florida |
664 |
39.4 |
3.2 |
(33.1--45.6) |
Orange County, Florida |
761 |
46.1 |
2.9 |
(40.4--51.7) |
Osceola County, Florida |
660 |
41.8 |
2.7 |
(36.5--47.0) |
Palm Beach County, Florida |
507 |
52.4 |
3.0 |
(46.5--58.2) |
Pasco County, Florida |
514 |
45.2 |
2.9 |
(39.5--50.8) |
Pinellas County, Florida |
489 |
48.8 |
3.0 |
(42.9--54.6) |
Polk County, Florida |
482 |
42.4 |
2.8 |
(36.9--47.8) |
St. Johns County, Florida |
520 |
49.6 |
2.9 |
(43.9--55.2) |
St. Lucie County, Florida |
487 |
49.4 |
3.0 |
(43.5--55.2) |
Santa Rosa County, Florida |
471 |
54.0 |
2.8 |
(48.5--59.4) |
Sarasota County, Florida |
762 |
52.4 |
2.9 |
(46.7--58.0) |
Seminole County, Florida |
499 |
45.8 |
2.9 |
(40.1--51.4) |
Volusia County, Florida |
470 |
48.2 |
3.1 |
(42.1--54.2) |
Wakulla County, Florida |
513 |
51.0 |
4.0 |
(43.1--58.8) |
Clayton County, Georgia |
316 |
51.2 |
4.1 |
(43.1--59.2) |
Cobb County, Georgia |
385 |
55.2 |
3.3 |
(48.7--61.6) |
DeKalb County, Georgia |
407 |
51.6 |
3.5 |
(44.7--58.4) |
Fulton County, Georgia |
389 |
50.0 |
3.6 |
(42.9--57.0) |
Gwinnett County, Georgia |
300 |
49.1 |
3.7 |
(41.8--56.3) |
Hawaii County, Hawaii |
1,475 |
52.7 |
1.6 |
(49.5--55.8) |
Honolulu County, Hawaii |
2,828 |
50.3 |
1.2 |
(47.9--52.6) |
Kauai County, Hawaii |
639 |
56.1 |
2.4 |
(51.3--60.8) |
Maui County, Hawaii |
1,467 |
53.8 |
1.9 |
(50.0--57.5) |
Ada County, Idaho |
607 |
56.4 |
2.6 |
(51.3--61.4) |
Bonneville County, Idaho |
355 |
50.1 |
3.1 |
(44.0--56.1) |
Canyon County, Idaho |
452 |
53.7 |
2.8 |
(48.2--59.1) |
Nez Perce County, Idaho |
265 |
50.1 |
3.7 |
(42.8--57.3) |
Cook County, Illinois |
1,582 |
48.0 |
1.6 |
(44.8--51.1) |
DuPage County, Illinois |
373 |
50.4 |
3.3 |
(43.9--56.8) |
Lake County, Illinois |
280 |
49.2 |
3.5 |
(42.3--56.0) |
Lake County, Indiana |
519 |
54.9 |
3.8 |
(47.4--62.3) |
Marion County, Indiana |
1,029 |
46.7 |
2.2 |
(42.3--51.0) |
Polk County, Iowa |
675 |
45.6 |
2.3 |
(41.0--50.1) |
Johnson County, Kansas |
1,477 |
53.2 |
1.6 |
(50.0--56.3) |
Sedgwick County, Kansas |
1,115 |
45.7 |
1.9 |
(41.9--49.4) |
Shawnee County, Kansas |
520 |
42.5 |
2.8 |
(37.0--47.9) |
Wyandotte County, Kansas |
332 |
43.1 |
3.5 |
(36.2--49.9) |
Jefferson County, Kentucky |
410 |
46.2 |
3.1 |
(40.1--52.2) |
Calcasieu Parish, Louisiana |
461 |
38.1 |
3.0 |
(32.2--43.9) |
East Baton Rouge Parish, Louisiana |
468 |
40.6 |
2.9 |
(34.9--46.2) |
Jefferson Parish, Louisiana |
394 |
36.7 |
3.2 |
(30.4--42.9) |
Orleans Parish, Louisiana |
267 |
40.9 |
4.0 |
(33.0--48.7) |
St. Tammany Parish, Louisiana |
305 |
37.4 |
3.3 |
(30.9--43.8) |
Cumberland County, Maine |
1,020 |
58.3 |
1.8 |
(54.7--61.8) |
Kennebec County, Maine |
518 |
53.0 |
2.6 |
(47.9--58.0) |
Penobscot County, Maine |
615 |
54.0 |
2.4 |
(49.2--58.7) |
Sagadahoc County, Maine |
261 |
62.0 |
3.5 |
(55.1--68.8) |
York County, Maine |
689 |
56.7 |
2.3 |
(52.1--61.2) |
Anne Arundel County, Maryland |
517 |
49.1 |
2.7 |
(43.8--54.3) |
Baltimore County, Maryland |
919 |
48.3 |
2.0 |
(44.3--52.2) |
Charles County, Maryland |
284 |
50.1 |
3.7 |
(42.8--57.3) |
Frederick County, Maryland |
508 |
51.6 |
2.8 |
(46.1--57.0) |
Harford County, Maryland |
283 |
44.0 |
3.7 |
(36.7--51.2) |
Howard County, Maryland |
323 |
53.6 |
3.5 |
(46.7--60.4) |
Montgomery County, Maryland |
1,034 |
51.2 |
2.0 |
(47.2--55.1) |
Prince George´s County, Maryland |
598 |
42.0 |
2.6 |
(36.9--47.0) |
Queen Anne´s County, Maryland |
230 |
51.5 |
4.2 |
(43.2--59.7) |
Washington County, Maryland |
417 |
45.1 |
3.2 |
(38.8--51.3) |
TABLE 24. (Continued) Estimated prevalence of adults aged ≥18 years who engaged in moderate or vigorous physical activity,* by county --- Behavioral Risk Factor Surveillance System, United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
454 |
47.5 |
3.0 |
(41.6--53.3) |
Barnstable County, Massachusetts |
536 |
60.1 |
2.7 |
(54.8--65.3) |
Bristol County, Massachusetts |
3,373 |
52.6 |
1.6 |
(49.4--55.7) |
Essex County, Massachusetts |
2,731 |
50.1 |
1.8 |
(46.5--53.6) |
Hampden County, Massachusetts |
1,871 |
48.8 |
2.0 |
(44.8--52.7) |
Hampshire County, Massachusetts |
357 |
57.8 |
3.6 |
(50.7--64.8) |
Middlesex County, Massachusetts |
3,685 |
52.6 |
1.3 |
(50.0--55.1) |
Norfolk County, Massachusetts |
1,181 |
54.5 |
1.9 |
(50.7--58.2) |
Plymouth County, Massachusetts |
790 |
53.7 |
2.4 |
(48.9--58.4) |
Suffolk County, Massachusetts |
2,212 |
48.7 |
1.8 |
(45.1--52.2) |
Worcester County, Massachusetts |
2,563 |
50.4 |
1.5 |
(47.4--53.3) |
Kent County, Michigan |
360 |
55.7 |
3.3 |
(49.2--62.1) |
Macomb County, Michigan |
387 |
46.6 |
3.2 |
(40.3--52.8) |
Oakland County, Michigan |
734 |
49.5 |
2.4 |
(44.7--54.2) |
Wayne County, Michigan |
1,506 |
48.9 |
1.9 |
(45.1--52.6) |
Anoka County, Minnesota |
267 |
48.8 |
3.8 |
(41.3--56.2) |
Dakota County, Minnesota |
347 |
47.1 |
3.3 |
(40.6--53.5) |
Hennepin County, Minnesota |
935 |
47.9 |
2.3 |
(43.3--52.4) |
Ramsey County, Minnesota |
407 |
47.6 |
3.1 |
(41.5--53.6) |
DeSoto County, Mississippi |
238 |
39.9 |
4.2 |
(31.6--48.1) |
Harrison County, Mississippi |
353 |
46.0 |
3.4 |
(39.3--52.6) |
Hinds County, Mississippi |
495 |
38.4 |
3.0 |
(32.5--44.2) |
Rankin County, Mississippi |
279 |
41.2 |
3.4 |
(34.5--47.8) |
Jackson County, Missouri |
470 |
43.7 |
2.7 |
(38.4--48.9) |
St. Louis County, Missouri |
425 |
49.4 |
3.4 |
(42.7--56.0) |
St. Louis City, Missouri |
427 |
43.4 |
3.9 |
(35.7--51.0) |
Flathead County, Montana |
514 |
57.8 |
2.6 |
(52.7--62.8) |
Yellowstone County, Montana |
419 |
53.1 |
3.1 |
(47.0--59.1) |
Dakota County, Nebraska |
449 |
46.3 |
2.9 |
(40.6--51.9) |
Douglas County, Nebraska |
565 |
51.9 |
2.7 |
(46.6--57.1) |
Hall County, Nebraska |
339 |
44.8 |
3.2 |
(38.5--51.0) |
Lancaster County, Nebraska |
516 |
60.0 |
3.0 |
(54.1--65.8) |
Sarpy County, Nebraska |
365 |
54.5 |
4.0 |
(46.6--62.3) |
Clark County, Nevada |
1,269 |
46.7 |
1.7 |
(43.3--50.0) |
Washoe County, Nevada |
1,299 |
55.8 |
1.6 |
(52.6--58.9) |
Grafton County, New Hampshire |
474 |
61.6 |
2.8 |
(56.1--67.0) |
Hillsborough County, New Hampshire |
1,334 |
53.2 |
1.7 |
(49.8--56.5) |
Merrimack County, New Hampshire |
608 |
54.8 |
2.6 |
(49.7--59.8) |
Rockingham County, New Hampshire |
930 |
54.3 |
1.9 |
(50.5--58.0) |
Strafford County, New Hampshire |
583 |
49.7 |
2.7 |
(44.4--54.9) |
Bergen County, New Jersey |
346 |
51.2 |
3.6 |
(44.1--58.2) |
Burlington County, New Jersey |
318 |
53.0 |
3.7 |
(45.7--60.2) |
Camden County, New Jersey |
294 |
45.3 |
4.0 |
(37.4--53.1) |
Essex County, New Jersey |
472 |
49.1 |
3.3 |
(42.6--55.5) |
Gloucester County, New Jersey |
309 |
43.8 |
3.8 |
(36.3--51.2) |
Hudson County, New Jersey |
520 |
43.7 |
3.0 |
(37.8--49.5) |
Hunterdon County, New Jersey |
343 |
54.6 |
3.4 |
(47.9--61.2) |
Middlesex County, New Jersey |
350 |
49.3 |
3.4 |
(42.6--55.9) |
Monmouth County, New Jersey |
299 |
51.5 |
3.6 |
(44.4--58.5) |
Morris County, New Jersey |
402 |
59.0 |
3.2 |
(52.7--65.2) |
Ocean County, New Jersey |
296 |
47.6 |
3.9 |
(39.9--55.2) |
Passaic County, New Jersey |
264 |
46.8 |
3.9 |
(39.1--54.4) |
Somerset County, New Jersey |
337 |
41.7 |
3.5 |
(34.8--48.5) |
Sussex County, New Jersey |
314 |
54.6 |
3.7 |
(47.3--61.8) |
Union County, New Jersey |
284 |
44.8 |
4.0 |
(36.9--52.6) |
Warren County, New Jersey |
285 |
50.9 |
3.8 |
(43.4--58.3) |
Bernalillo County, New Mexico |
1,023 |
56.7 |
1.9 |
(52.9--60.4) |
Dona Ana County, New Mexico |
665 |
48.7 |
2.5 |
(43.8--53.6) |
Sandoval County, New Mexico |
481 |
59.6 |
3.0 |
(53.7--65.4) |
San Juan County, New Mexico |
630 |
55.5 |
2.5 |
(50.6--60.4) |
Santa Fe County, New Mexico |
480 |
56.7 |
3.0 |
(50.8--62.5) |
Valencia County, New Mexico |
286 |
52.1 |
3.7 |
(44.8--59.3) |
Erie County, New York |
371 |
47.2 |
3.3 |
(40.7--53.6) |
TABLE 24. (Continued) Estimated prevalence of adults aged ≥18 years who engaged in moderate or vigorous physical activity,* by county --- Behavioral Risk Factor Surveillance System, United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
373 |
45.9 |
3.1 |
(39.8--51.9) |
Nassau County, New York |
351 |
43.9 |
3.4 |
(37.2--50.5) |
New York County, New York |
512 |
55.6 |
2.9 |
(49.9--61.2) |
Queens County, New York |
390 |
41.8 |
3.2 |
(35.5--48.0) |
Suffolk County, New York |
402 |
52.5 |
3.3 |
(46.0--58.9) |
Westchester County, New York |
261 |
50.5 |
3.7 |
(43.2--57.7) |
Buncombe County, North Carolina |
326 |
49.5 |
3.5 |
(42.6--56.3) |
Cabarrus County, North Carolina |
342 |
40.6 |
3.6 |
(33.5--47.6) |
Catawba County, North Carolina |
389 |
41.6 |
3.2 |
(35.3--47.8) |
Cumberland County, North Carolina |
359 |
51.5 |
3.6 |
(44.4--58.5) |
Durham County, North Carolina |
312 |
44.7 |
4.0 |
(36.8--52.5) |
Gaston County, North Carolina |
365 |
40.9 |
3.2 |
(34.6--47.1) |
Guilford County, North Carolina |
360 |
42.2 |
3.8 |
(34.7--49.6) |
Henderson County, North Carolina |
284 |
43.5 |
3.8 |
(36.0--50.9) |
Johnston County, North Carolina |
415 |
37.0 |
3.9 |
(29.3--44.6) |
Mecklenburg County, North Carolina |
645 |
48.4 |
2.6 |
(43.3--53.4) |
New Hanover County, North Carolina |
375 |
51.6 |
3.5 |
(44.7--58.4) |
Orange County, North Carolina |
335 |
48.5 |
4.0 |
(40.6--56.3) |
Randolph County, North Carolina |
361 |
41.9 |
3.3 |
(35.4--48.3) |
Union County, North Carolina |
354 |
41.1 |
3.4 |
(34.4--47.7) |
Wake County, North Carolina |
578 |
46.7 |
2.7 |
(41.4--51.9) |
Burleigh County, North Dakota |
464 |
52.3 |
2.9 |
(46.6--57.9) |
Cass County, North Dakota |
627 |
57.0 |
2.6 |
(51.9--62.0) |
Cuyahoga County, Ohio |
711 |
50.8 |
2.4 |
(46.0--55.5) |
Franklin County, Ohio |
692 |
48.8 |
2.5 |
(43.9--53.7) |
Hamilton County, Ohio |
756 |
51.5 |
2.3 |
(46.9--56.0) |
Licking County, Ohio |
230 |
43.5 |
4.2 |
(35.2--51.7) |
Lucas County, Ohio |
713 |
49.6 |
2.3 |
(45.0--54.1) |
Mahoning County, Ohio |
752 |
48.0 |
2.5 |
(43.1--52.9) |
Montgomery County, Ohio |
675 |
50.6 |
2.6 |
(45.5--55.6) |
Stark County, Ohio |
736 |
49.9 |
2.3 |
(45.3--54.4) |
Summit County, Ohio |
684 |
50.3 |
2.4 |
(45.5--55.0) |
Canadian County, Oklahoma |
233 |
40.9 |
3.9 |
(33.2--48.5) |
Cleveland County, Oklahoma |
388 |
44.1 |
3.1 |
(38.0--50.1) |
Oklahoma County, Oklahoma |
1,190 |
44.8 |
1.8 |
(41.2--48.3) |
Tulsa County, Oklahoma |
1,403 |
47.6 |
1.7 |
(44.2--50.9) |
Clackamas County, Oregon |
462 |
56.6 |
2.9 |
(50.9--62.2) |
Multnomah County, Oregon |
782 |
55.4 |
2.2 |
(51.0--59.7) |
Washington County, Oregon |
528 |
53.8 |
2.7 |
(48.5--59.0) |
Allegheny County, Pennsylvania |
588 |
49.9 |
2.6 |
(44.8--54.9) |
Delaware County, Pennsylvania |
260 |
48.5 |
3.9 |
(40.8--56.1) |
Fayette County, Pennsylvania |
1,492 |
50.6 |
2.2 |
(46.2--54.9) |
Luzerne County, Pennsylvania |
2,131 |
53.0 |
2.2 |
(48.6--57.3) |
Montgomery County, Pennsylvania |
317 |
51.7 |
3.7 |
(44.4--58.9) |
Philadelphia County, Pennsylvania |
1,639 |
44.5 |
2.8 |
(39.0--49.9) |
Westmoreland County, Pennsylvania |
273 |
49.3 |
4.3 |
(40.8--57.7) |
Kent County, Rhode Island |
610 |
47.1 |
2.6 |
(42.0--52.1) |
Newport County, Rhode Island |
339 |
54.9 |
3.4 |
(48.2--61.5) |
Providence County, Rhode Island |
2,547 |
47.5 |
1.4 |
(44.7--50.2) |
Washington County, Rhode Island |
481 |
55.0 |
3.1 |
(48.9--61.0) |
Aiken County, South Carolina |
628 |
43.5 |
2.5 |
(38.6--48.4) |
Beaufort County, South Carolina |
801 |
55.3 |
2.6 |
(50.2--60.3) |
Berkeley County, South Carolina |
300 |
48.1 |
3.7 |
(40.8--55.3) |
Charleston County, South Carolina |
629 |
50.1 |
2.7 |
(44.8--55.3) |
Dorchester County, South Carolina |
232 |
51.4 |
3.9 |
(43.7--59.0) |
Greenville County, South Carolina |
508 |
49.5 |
3.0 |
(43.6--55.3) |
Horry County, South Carolina |
819 |
50.5 |
2.3 |
(45.9--55.0) |
Lexington County, South Carolina |
307 |
53.4 |
3.3 |
(46.9--59.8) |
Richland County, South Carolina |
405 |
44.4 |
3.1 |
(38.3--50.4) |
York County, South Carolina |
260 |
47.3 |
3.8 |
(39.8--54.7) |
Minnehaha County, South Dakota |
669 |
46.9 |
2.3 |
(42.3--51.4) |
Pennington County, South Dakota |
730 |
53.3 |
2.4 |
(48.5--58.0) |
Davidson County, Tennessee |
261 |
36.6 |
4.1 |
(28.5--44.6) |
TABLE 24. (Continued) Estimated prevalence of adults aged ≥18 years who engaged in moderate or vigorous physical activity,* by county --- Behavioral Risk Factor Surveillance System, United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
643 |
35.9 |
2.6 |
(30.8--40.9) |
Shelby County, Tennessee |
285 |
41.0 |
3.9 |
(33.3--48.6) |
Sullivan County, Tennessee |
389 |
41.7 |
3.1 |
(35.6--47.7) |
Bexar County, Texas |
1,006 |
51.7 |
2.2 |
(47.3--56.0) |
Cameron County, Texas |
576 |
40.9 |
2.7 |
(35.6--46.1) |
Collin County, Texas |
242 |
49.4 |
4.1 |
(41.3--57.4) |
Dallas County, Texas |
783 |
44.7 |
2.6 |
(39.6--49.7) |
Denton County, Texas |
241 |
50.3 |
4.0 |
(42.4--58.1) |
El Paso County, Texas |
1,427 |
48.2 |
1.8 |
(44.6--51.7) |
Harris County, Texas |
893 |
46.4 |
2.4 |
(41.6--51.1) |
Hidalgo County, Texas |
888 |
45.8 |
2.4 |
(41.0--50.5) |
Tarrant County, Texas |
1,065 |
47.6 |
2.0 |
(43.6--51.5) |
Travis County, Texas |
737 |
53.5 |
2.5 |
(48.6--58.4) |
Webb County, Texas |
474 |
41.7 |
3.1 |
(35.6--47.7) |
Williamson County, Texas |
335 |
44.4 |
3.5 |
(37.5--51.2) |
Davis County, Utah |
398 |
54.1 |
3.0 |
(48.2--59.9) |
Salt Lake County, Utah |
1,530 |
54.0 |
1.6 |
(50.8--57.1) |
Tooele County, Utah |
235 |
51.3 |
4.0 |
(43.4--59.1) |
Utah County, Utah |
522 |
64.1 |
2.7 |
(58.8--69.3) |
Weber County, Utah |
382 |
55.2 |
3.0 |
(49.3--61.0) |
Chittenden County, Vermont |
1,342 |
57.1 |
1.8 |
(53.5--60.6) |
Franklin County, Vermont |
442 |
52.4 |
2.9 |
(46.7--58.0) |
Orange County, Vermont |
342 |
61.2 |
3.2 |
(54.9--67.4) |
Rutland County, Vermont |
642 |
57.9 |
2.3 |
(53.3--62.4) |
Washington County, Vermont |
653 |
56.9 |
2.3 |
(52.3--61.4) |
Windsor County, Vermont |
686 |
59.5 |
2.3 |
(54.9--64.0) |
Arlington County, Virginia |
283 |
59.3 |
4.0 |
(51.4--67.1) |
Fairfax County, Virginia |
235 |
42.1 |
5.1 |
(32.1--52.0) |
Prince William County, Virginia |
271 |
48.2 |
4.2 |
(39.9--56.4) |
Alexandria city, Virginia |
252 |
56.1 |
4.7 |
(46.8--65.3) |
Benton County, Washington |
428 |
52.6 |
3.2 |
(46.3--58.8) |
Chelan County, Washington |
518 |
51.5 |
2.8 |
(46.0--56.9) |
Clark County, Washington |
1,596 |
54.4 |
1.7 |
(51.0--57.7) |
Douglas County, Washington |
496 |
50.2 |
3.0 |
(44.3--56.0) |
King County, Washington |
4,242 |
54.3 |
1.0 |
(52.3--56.2) |
Kitsap County, Washington |
967 |
55.0 |
2.0 |
(51.0--58.9) |
Pierce County, Washington |
1,802 |
52.9 |
1.5 |
(49.9--55.8) |
Snohomish County, Washington |
2,611 |
53.2 |
1.3 |
(50.6--55.7) |
Spokane County, Washington |
1,302 |
54.5 |
1.9 |
(50.7--58.2) |
Thurston County, Washington |
1,782 |
55.7 |
1.5 |
(52.7--58.6) |
Whatcom County, Washington |
1,107 |
55.5 |
2.0 |
(51.5--59.4) |
Yakima County, Washington |
708 |
50.7 |
2.5 |
(45.8--55.6) |
Kanawha County, West Virginia |
488 |
41.1 |
2.7 |
(35.8--46.3) |
Milwaukee County, Wisconsin |
1,072 |
53.5 |
3.1 |
(47.4--59.5) |
Fremont County, Wyoming |
468 |
57.5 |
3.0 |
(51.6--63.3) |
Laramie County, Wyoming |
832 |
55.8 |
2.2 |
(51.4--60.1) |
Natrona County, Wyoming |
709 |
57.2 |
2.4 |
(52.4--61.9) |
Median |
50.0 |
|||
Range |
35.9--67.1 |
|||
* Moderate physical activity (e.g., brisk walking, bicycling, vacuuming, gardening) or anything else that causes a small increase in breathing and heart rate on at least 5 days per week for at least 30 minutes each day or vigorous physical activity (e.g., running, aerobics, heavy yard work) or anything else that causes a large increase in breathing and heart rate on 3 or more days per week for at least 20 minutes each day. † Standard error. § Confidence interval. ¶ Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 26. (Continued) Estimated prevalence of adults aged ≥18 years who engaged in vigorous physical activity* for at least 20 minutes, 3 or more days per week, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Gainesville, Florida |
1,022 |
31.9 |
3.0 |
(26.0--37.7) |
Grand Island, Nebraska |
526 |
26.1 |
2.8 |
(20.6--31.5) |
Grand Rapids-Wyoming, Michigan |
490 |
33.4 |
2.8 |
(27.9--38.8) |
Greeley, Colorado |
511 |
27.2 |
2.5 |
(22.3--32.1) |
Greensboro-High Point, North Carolina |
805 |
19.6 |
2.1 |
(15.4--23.7) |
Greenville, South Carolina |
838 |
25.5 |
2.1 |
(21.3--29.6) |
Gulfport-Biloxi, Mississippi |
484 |
27.9 |
2.9 |
(22.2--33.5) |
Hagerstown-Martinsburg, Maryland-West Virginia |
684 |
24.1 |
2.6 |
(19.0--29.1) |
Hartford-West Hartford-East Hartford, Connecticut |
2,258 |
29.9 |
1.4 |
(27.1--32.6) |
Hickory-Morganton-Lenoir, North Carolina |
837 |
22.0 |
2.4 |
(17.2--26.7) |
Hilo, Hawaii |
1,486 |
30.0 |
1.4 |
(27.2--32.7) |
Hilton Head Island-Beaufort, South Carolina |
903 |
30.7 |
2.4 |
(25.9--35.4) |
Homosassa Springs, Florida |
549 |
17.3 |
2.0 |
(13.3--21.2) |
Honolulu, Hawaii |
2,847 |
30.2 |
1.1 |
(28.0--32.3) |
Houston-Sugar Land-Baytown, Texas |
1,462 |
26.9 |
1.7 |
(23.5--30.2) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
567 |
18.5 |
2.6 |
(13.4--23.5) |
Idaho Falls, Idaho |
476 |
26.6 |
2.5 |
(21.7--31.5) |
Indianapolis-Carmel, Indiana |
1,494 |
28.2 |
1.7 |
(24.8--31.5) |
Jackson, Mississippi |
1,119 |
20.1 |
1.6 |
(16.9--23.2) |
Jacksonville, Florida |
3,767 |
27.2 |
1.1 |
(25.0--29.3) |
Kahului-Wailuku, Hawaii |
1,478 |
33.0 |
1.8 |
(29.4--36.5) |
Kalispell, Montana |
523 |
29.5 |
2.5 |
(24.6--34.4) |
Kansas City, Missouri-Kansas |
3,246 |
24.8 |
1.2 |
(22.4--27.1) |
Kapaa, Hawaii |
635 |
32.5 |
2.4 |
(27.7--37.2) |
Kennewick-Richland-Pasco, Washington |
661 |
29.6 |
2.8 |
(24.1--35.0) |
Key West-Marathon, Florida |
474 |
34.3 |
4.4 |
(25.6--42.9) |
Kingsport-Bristol, Tennessee-Virginia |
551 |
15.5 |
2.0 |
(11.5--19.4) |
Lake Charles, Louisiana |
500 |
20.1 |
2.7 |
(14.8--25.3) |
Lake City, Florida |
551 |
17.8 |
2.3 |
(13.2--22.3) |
Lakeland-Winter Haven, Florida |
492 |
22.1 |
2.4 |
(17.3--26.8) |
Laredo, Texas |
481 |
25.8 |
2.9 |
(20.1--31.4) |
Las Cruces, New Mexico |
679 |
25.6 |
2.5 |
(20.7--30.5) |
Las Vegas-Paradise, Nevada |
1,290 |
26.4 |
1.5 |
(23.4--29.3) |
Lebanon, New Hampshire-Vermont |
1,527 |
33.9 |
1.7 |
(30.5--37.2) |
Lewiston, Idaho-Washington |
504 |
27.1 |
2.7 |
(21.8--32.3) |
Lincoln, Nebraska |
683 |
40.0 |
3.1 |
(33.9--46.0) |
Little Rock-North Little Rock, Arkansas |
1,181 |
25.9 |
1.7 |
(22.5--29.2) |
Los Angeles-Long Beach-Glendale, California¶ |
807 |
29.3 |
2.1 |
(25.1--33.4) |
Louisville, Kentucky-Indiana |
781 |
26.1 |
2.3 |
(21.5--30.6) |
Manchester-Nashua, New Hampshire |
1,362 |
31.5 |
1.6 |
(28.3--34.6) |
McAllen-Edinburg-Mission, Texas |
907 |
22.7 |
2.1 |
(18.5--26.8) |
Memphis, Tennessee-Mississippi-Arkansas |
934 |
19.3 |
2.4 |
(14.5--24.0) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,085 |
23.7 |
1.8 |
(20.1--27.2) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,411 |
30.6 |
2.3 |
(26.0--35.1) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,727 |
25.4 |
1.2 |
(23.0--27.7) |
Mobile, Alabama |
553 |
22.3 |
2.7 |
(17.0--27.5) |
Montgomery, Alabama |
501 |
26.4 |
3.3 |
(19.9--32.8) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
859 |
26.1 |
2.2 |
(21.7--30.4) |
Naples-Marco Island, Florida |
763 |
27.4 |
2.6 |
(22.3--32.4) |
Nashville-Davidson-Murfreesboro, Tennessee |
570 |
23.3 |
2.5 |
(18.4--28.2) |
Nassau-Suffolk, New York¶ |
778 |
28.0 |
2.3 |
(23.4--32.5) |
Newark-Union, New Jersey-Pennsylvania¶ |
1,875 |
30.5 |
1.9 |
(26.7--34.2) |
New Haven-Milford, Connecticut |
1,703 |
29.6 |
1.8 |
(26.0--33.1) |
New Orleans-Metairie-Kenner, Louisiana |
1,172 |
21.9 |
1.7 |
(18.5--25.2) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,164 |
26.5 |
1.2 |
(24.1--28.8) |
Nogales, Arizona |
493 |
24.3 |
3.5 |
(17.4--31.1) |
Norwich-New London, Connecticut |
478 |
27.9 |
2.8 |
(22.4--33.3) |
Ocala, Florida |
584 |
21.8 |
2.6 |
(16.7--26.8) |
Ogden-Clearfield, Utah |
808 |
33.2 |
2.0 |
(29.2--37.1) |
Okeechobee, Florida |
681 |
17.8 |
2.2 |
(13.4--22.1) |
Oklahoma City, Oklahoma |
2,160 |
26.2 |
1.2 |
(23.8--28.5) |
Olympia, Washington |
1,829 |
29.1 |
1.4 |
(26.3--31.8) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,496 |
31.3 |
1.9 |
(27.5--35.0) |
Orlando-Kissimmee, Florida |
2,535 |
26.4 |
1.7 |
(23.0--29.7) |
TABLE 26. (Continued) Estimated prevalence of adults aged ≥18 years who engaged in vigorous physical activity* for at least 20 minutes, 3 or more days per week, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Palm Bay-Melbourne-Titusville, Florida |
526 |
23.0 |
2.6 |
(17.9--28.0) |
Palm Coast, Florida |
505 |
26.9 |
3.0 |
(21.0--32.7) |
Panama City-Lynn Haven, Florida |
519 |
23.0 |
2.5 |
(18.1--27.9) |
Pensacola-Ferry Pass-Brent, Florida |
982 |
31.6 |
2.1 |
(27.4--35.7) |
Philadelphia, Pennsylvania¶ |
2,726 |
29.8 |
1.6 |
(26.6--32.9) |
Phoenix-Mesa-Scottsdale, Arizona |
1,215 |
30.4 |
2.2 |
(26.0--34.7) |
Pittsburgh, Pennsylvania |
2,809 |
26.3 |
1.7 |
(22.9--29.6) |
Portland-South Portland-Biddeford, Maine |
2,002 |
35.1 |
1.5 |
(32.1--38.0) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,838 |
31.9 |
1.2 |
(29.5--34.2) |
Port St. Lucie-Fort Pierce, Florida |
1,015 |
24.4 |
2.0 |
(20.4--28.3) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
7,755 |
29.0 |
0.9 |
(27.2--30.7) |
Provo-Orem, Utah |
563 |
44.1 |
2.9 |
(38.4--49.7) |
Raleigh-Cary, North Carolina |
1,062 |
26.1 |
2.1 |
(21.9--30.2) |
Rapid City, South Dakota |
944 |
30.7 |
2.1 |
(26.5--34.8) |
Reno-Sparks, Nevada |
1,337 |
34.6 |
1.6 |
(31.4--37.7) |
Richmond, Virginia |
810 |
32.1 |
2.4 |
(27.3--36.8) |
Riverside-San Bernardino-Ontario, California |
631 |
28.7 |
2.5 |
(23.8--33.6) |
Riverton, Wyoming |
469 |
34.0 |
3.2 |
(27.7--40.2) |
Rockingham County-Strafford County, New Hampshire¶ |
1,543 |
30.1 |
1.5 |
(27.1--33.0) |
Rutland, Vermont |
651 |
32.0 |
2.3 |
(27.4--36.5) |
St. Louis, Missouri-Illinois |
1,503 |
23.7 |
1.8 |
(20.1--27.2) |
Salt Lake City, Utah |
2,049 |
33.9 |
1.4 |
(31.1--36.6) |
San Antonio, Texas |
1,366 |
31.0 |
1.9 |
(27.2--34.7) |
San Diego-Carlsbad-San Marcos, California |
479 |
35.1 |
3.0 |
(29.2--40.9) |
San Francisco-Oakland-Fremont, California |
734 |
31.6 |
2.3 |
(27.0--36.1) |
Santa Fe, New Mexico |
488 |
33.9 |
2.9 |
(28.2--39.5) |
Sarasota-Bradenton-Venice, Florida |
1,252 |
23.9 |
1.8 |
(20.3--27.4) |
Scranton-Wilkes-Barre, Pennsylvania |
2,387 |
27.6 |
2.6 |
(22.5--32.6) |
Seaford, Delaware |
1,196 |
25.1 |
1.7 |
(21.7--28.4) |
Seattle-Bellevue-Everett, Washington¶ |
6,975 |
31.0 |
0.8 |
(29.4--32.5) |
Sebring, Florida |
724 |
22.2 |
2.7 |
(16.9--27.4) |
Sioux City, Iowa-Nebraska-South Dakota |
846 |
24.1 |
3.1 |
(18.0--30.1) |
Sioux Falls, South Dakota |
922 |
25.7 |
1.8 |
(22.1--29.2) |
Spokane, Washington |
1,329 |
30.2 |
1.8 |
(26.6--33.7) |
Springfield, Massachusetts |
2,470 |
29.8 |
1.7 |
(26.4--33.1) |
Tacoma, Washington¶ |
1,842 |
32.0 |
1.6 |
(28.8--35.1) |
Tallahassee, Florida |
1,957 |
27.1 |
2.5 |
(22.2--32.0) |
Tampa-St. Petersburg-Clearwater, Florida |
2,046 |
27.1 |
1.6 |
(23.9--30.2) |
Toledo, Ohio |
935 |
28.4 |
2.2 |
(24.0--32.7) |
Topeka, Kansas |
758 |
23.8 |
2.0 |
(19.8--27.7) |
Tucson, Arizona |
717 |
30.3 |
2.5 |
(25.4--35.2) |
Tulsa, Oklahoma |
2,001 |
24.6 |
1.4 |
(21.8--27.3) |
Tuscaloosa, Alabama |
517 |
19.3 |
2.7 |
(14.0--24.5) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,094 |
35.3 |
2.5 |
(30.4--40.2) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,433 |
29.2 |
1.7 |
(25.8--32.5) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,443 |
28.0 |
1.4 |
(25.2--30.7) |
Wauchula, Florida |
648 |
N/A** |
N/A |
N/A |
Wenatchee, Washington |
1,036 |
31.0 |
2.0 |
(27.0--34.9) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
510 |
31.7 |
2.9 |
(26.0--37.3) |
Wichita, Kansas |
1,521 |
24.9 |
1.5 |
(21.9--27.8) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,703 |
27.7 |
1.5 |
(24.7--30.6) |
Wilmington, North Carolina |
596 |
23.2 |
2.5 |
(18.3--28.1) |
Worcester, Massachusetts |
2,623 |
28.6 |
1.4 |
(25.8--31.3) |
Yakima, Washington |
730 |
28.6 |
2.4 |
(23.8--33.3) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
983 |
23.8 |
2.4 |
(19.0--28.5) |
Yuma, Arizona |
521 |
28.1 |
2.7 |
(22.8--33.3) |
Median |
28.1 |
|||
Range |
15.4--44.1 |
|||
* Vigorous physical activity (e.g., running, aerobics, heavy yard work) or anything else that causes a large increase in breathing and heart rate on 3 or more days per week for at least 20 minutes each day. † Standard error. § Confidence interval. ¶ Metropolitan division. ** Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 27. (Continued) Estimated prevalence of adults aged ≥18 years who engaged in vigorous physical activity* for at least 20 minutes, 3 or more days per week, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
584 |
21.8 |
2.6 |
(16.7--26.8) |
Martin County, Florida |
513 |
30.3 |
3.2 |
(24.0--36.5) |
Miami-Dade County, Florida |
561 |
23.6 |
2.6 |
(18.5--28.6) |
Monroe County, Florida |
474 |
34.3 |
4.4 |
(25.6--42.9) |
Nassau County, Florida |
514 |
27.2 |
2.5 |
(22.3--32.1) |
Okeechobee County, Florida |
681 |
17.8 |
2.2 |
(13.4--22.1) |
Orange County, Florida |
780 |
27.1 |
2.8 |
(21.6--32.5) |
Osceola County, Florida |
678 |
22.7 |
2.3 |
(18.1--27.2) |
Palm Beach County, Florida |
510 |
31.7 |
2.9 |
(26.0--37.3) |
Pasco County, Florida |
528 |
26.9 |
2.9 |
(21.2--32.5) |
Pinellas County, Florida |
505 |
26.6 |
2.9 |
(20.9--32.2) |
Polk County, Florida |
492 |
22.1 |
2.4 |
(17.3--26.8) |
St. Johns County, Florida |
535 |
32.3 |
2.6 |
(27.2--37.3) |
St. Lucie County, Florida |
502 |
21.0 |
2.4 |
(16.2--25.7) |
Santa Rosa County, Florida |
475 |
30.0 |
2.6 |
(24.9--35.0) |
Sarasota County, Florida |
772 |
23.2 |
2.3 |
(18.6--27.7) |
Seminole County, Florida |
510 |
28.7 |
2.6 |
(23.6--33.7) |
Volusia County, Florida |
475 |
25.8 |
2.9 |
(20.1--31.4) |
Wakulla County, Florida |
518 |
29.6 |
4.2 |
(21.3--37.8) |
Clayton County, Georgia |
323 |
32.0 |
4.2 |
(23.7--40.2) |
Cobb County, Georgia |
391 |
37.3 |
3.4 |
(30.6--43.9) |
DeKalb County, Georgia |
414 |
34.1 |
3.5 |
(27.2--40.9) |
Fulton County, Georgia |
391 |
34.6 |
3.5 |
(27.7--41.4) |
Gwinnett County, Georgia |
304 |
30.4 |
3.5 |
(23.5--37.2) |
Hawaii County, Hawaii |
1,486 |
30.0 |
1.4 |
(27.2--32.7) |
Honolulu County, Hawaii |
2,847 |
30.2 |
1.1 |
(28.0--32.3) |
Kauai County, Hawaii |
635 |
32.5 |
2.4 |
(27.7--37.2) |
Maui County, Hawaii |
1,478 |
33.0 |
1.8 |
(29.4--36.5) |
Ada County, Idaho |
619 |
36.1 |
2.5 |
(31.2--41.0) |
Bonneville County, Idaho |
363 |
26.8 |
2.8 |
(21.3--32.2) |
Canyon County, Idaho |
462 |
31.3 |
2.7 |
(26.0--36.5) |
Nez Perce County, Idaho |
267 |
28.3 |
3.6 |
(21.2--35.3) |
Cook County, Illinois |
1,605 |
29.3 |
1.5 |
(26.3--32.2) |
DuPage County, Illinois |
376 |
29.8 |
3.0 |
(23.9--35.6) |
Lake County, Illinois |
281 |
28.4 |
3.2 |
(22.1--34.6) |
Lake County, Indiana |
535 |
28.4 |
3.6 |
(21.3--35.4) |
Marion County, Indiana |
1,061 |
26.4 |
2.1 |
(22.2--30.5) |
Polk County, Iowa |
697 |
25.4 |
2.0 |
(21.4--29.3) |
Johnson County, Kansas |
1,502 |
30.5 |
1.5 |
(27.5--33.4) |
Sedgwick County, Kansas |
1,142 |
24.5 |
1.7 |
(21.1--27.8) |
Shawnee County, Kansas |
535 |
24.3 |
2.5 |
(19.4--29.2) |
Wyandotte County, Kansas |
338 |
22.5 |
3.0 |
(16.6--28.3) |
Jefferson County, Kentucky |
423 |
25.1 |
3.1 |
(19.0--31.1) |
Calcasieu Parish, Louisiana |
481 |
20.1 |
2.7 |
(14.8--25.3) |
East Baton Rouge Parish, Louisiana |
479 |
22.0 |
2.5 |
(17.1--26.9) |
Jefferson Parish, Louisiana |
398 |
21.3 |
2.8 |
(15.8--26.7) |
Orleans Parish, Louisiana |
279 |
22.7 |
3.2 |
(16.4--28.9) |
St. Tammany Parish, Louisiana |
313 |
22.3 |
2.7 |
(17.0--27.5) |
Cumberland County, Maine |
1,043 |
35.0 |
1.9 |
(31.2--38.7) |
Kennebec County, Maine |
528 |
28.3 |
2.4 |
(23.5--33.0) |
Penobscot County, Maine |
634 |
28.9 |
2.2 |
(24.5--33.2) |
Sagadahoc County, Maine |
265 |
32.7 |
3.7 |
(25.4--39.9) |
York County, Maine |
694 |
34.9 |
2.5 |
(30.0--39.8) |
Anne Arundel County, Maryland |
527 |
29.5 |
2.6 |
(24.4--34.5) |
Baltimore County, Maryland |
938 |
29.8 |
2.0 |
(25.8--33.7) |
Charles County, Maryland |
286 |
29.7 |
3.5 |
(22.8--36.5) |
Frederick County, Maryland |
520 |
30.4 |
2.7 |
(25.1--35.6) |
Harford County, Maryland |
293 |
22.5 |
3.0 |
(16.6--28.3) |
Howard County, Maryland |
330 |
34.0 |
3.3 |
(27.5--40.4) |
Montgomery County, Maryland |
1,050 |
30.4 |
1.9 |
(26.6--34.1) |
Prince George´s County, Maryland |
614 |
22.0 |
2.2 |
(17.6--26.3) |
Queen Anne´s County, Maryland |
231 |
29.0 |
4.1 |
(20.9--37.0) |
Washington County, Maryland |
424 |
22.6 |
2.6 |
(17.5--27.6) |
TABLE 27. (Continued) Estimated prevalence of adults aged ≥18 years who engaged in vigorous physical activity* for at least 20 minutes, 3 or more days per week, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
469 |
27.4 |
2.8 |
(21.9--32.8) |
Barnstable County, Massachusetts |
550 |
34.5 |
2.8 |
(29.0--39.9) |
Bristol County, Massachusetts |
3,484 |
31.5 |
1.6 |
(28.3--34.6) |
Essex County, Massachusetts |
2,811 |
29.3 |
1.7 |
(25.9--32.6) |
Hampden County, Massachusetts |
1,912 |
27.4 |
2.0 |
(23.4--31.3) |
Hampshire County, Massachusetts |
357 |
40.1 |
3.7 |
(32.8--47.3) |
Middlesex County, Massachusetts |
3,760 |
31.5 |
1.3 |
(28.9--34.0) |
Norfolk County, Massachusetts |
1,203 |
32.8 |
1.8 |
(29.2--36.3) |
Plymouth County, Massachusetts |
804 |
32.7 |
2.3 |
(28.1--37.2) |
Suffolk County, Massachusetts |
2,253 |
27.1 |
1.6 |
(23.9--30.2) |
Worcester County, Massachusetts |
2,623 |
28.6 |
1.4 |
(25.8--31.3) |
Kent County, Michigan |
368 |
33.0 |
3.3 |
(26.5--39.4) |
Macomb County, Michigan |
391 |
26.8 |
3.0 |
(20.9--32.6) |
Oakland County, Michigan |
753 |
29.9 |
2.2 |
(25.5--34.2) |
Wayne County, Michigan |
1,568 |
28.9 |
1.8 |
(25.3--32.4) |
Anoka County, Minnesota |
269 |
18.7 |
2.9 |
(13.0--24.3) |
Dakota County, Minnesota |
348 |
22.1 |
2.8 |
(16.6--27.5) |
Hennepin County, Minnesota |
939 |
27.1 |
2.2 |
(22.7--31.4) |
Ramsey County, Minnesota |
409 |
22.3 |
2.7 |
(17.0--27.5) |
DeSoto County, Mississippi |
245 |
17.9 |
3.3 |
(11.4--24.3) |
Harrison County, Mississippi |
367 |
27.5 |
3.2 |
(21.2--33.7) |
Hinds County, Mississippi |
509 |
19.4 |
2.4 |
(14.6--24.1) |
Rankin County, Mississippi |
283 |
21.1 |
2.9 |
(15.4--26.7) |
Jackson County, Missouri |
479 |
21.6 |
2.2 |
(17.2--25.9) |
St. Louis County, Missouri |
434 |
26.0 |
3.2 |
(19.7--32.2) |
St. Louis City, Missouri |
444 |
19.3 |
2.5 |
(14.4--24.2) |
Flathead County, Montana |
523 |
29.5 |
2.5 |
(24.6--34.4) |
Yellowstone County, Montana |
430 |
31.8 |
2.9 |
(26.1--37.4) |
Dakota County, Nebraska |
460 |
27.2 |
2.8 |
(21.7--32.6) |
Douglas County, Nebraska |
580 |
32.9 |
2.7 |
(27.6--38.1) |
Hall County, Nebraska |
352 |
23.9 |
2.9 |
(18.2--29.5) |
Lancaster County, Nebraska |
529 |
40.4 |
3.3 |
(33.9--46.8) |
Sarpy County, Nebraska |
370 |
36.6 |
4.2 |
(28.3--44.8) |
Clark County, Nevada |
1,290 |
26.4 |
1.5 |
(23.4--29.3) |
Washoe County, Nevada |
1,316 |
34.5 |
1.6 |
(31.3--37.6) |
Grafton County, New Hampshire |
479 |
34.1 |
2.8 |
(28.6--39.5) |
Hillsborough County, New Hampshire |
1,362 |
31.5 |
1.6 |
(28.3--34.6) |
Merrimack County, New Hampshire |
622 |
33.8 |
2.6 |
(28.7--38.8) |
Rockingham County, New Hampshire |
947 |
30.3 |
1.8 |
(26.7--33.8) |
Strafford County, New Hampshire |
596 |
31.0 |
2.6 |
(25.9--36.0) |
Bergen County, New Jersey |
356 |
28.9 |
3.4 |
(22.2--35.5) |
Burlington County, New Jersey |
323 |
37.0 |
3.8 |
(29.5--44.4) |
Camden County, New Jersey |
306 |
24.1 |
3.8 |
(16.6--31.5) |
Essex County, New Jersey |
490 |
28.0 |
3.2 |
(21.7--34.2) |
Gloucester County, New Jersey |
316 |
29.4 |
3.6 |
(22.3--36.4) |
Hudson County, New Jersey |
531 |
21.5 |
2.5 |
(16.6--26.4) |
Hunterdon County, New Jersey |
346 |
31.7 |
3.1 |
(25.6--37.7) |
Middlesex County, New Jersey |
360 |
24.9 |
3.1 |
(18.8--30.9) |
Monmouth County, New Jersey |
305 |
27.5 |
3.4 |
(20.8--34.1) |
Morris County, New Jersey |
401 |
35.8 |
3.3 |
(29.3--42.2) |
Ocean County, New Jersey |
306 |
24.3 |
3.2 |
(18.0--30.5) |
Passaic County, New Jersey |
267 |
28.2 |
3.7 |
(20.9--35.4) |
Somerset County, New Jersey |
346 |
24.4 |
3.1 |
(18.3--30.4) |
Sussex County, New Jersey |
320 |
31.8 |
3.5 |
(24.9--38.6) |
Union County, New Jersey |
286 |
24.1 |
3.5 |
(17.2--30.9) |
Warren County, New Jersey |
293 |
28.3 |
3.5 |
(21.4--35.1) |
Bernalillo County, New Mexico |
1,040 |
33.1 |
1.8 |
(29.5--36.6) |
Dona Ana County, New Mexico |
679 |
25.6 |
2.4 |
(20.8--30.3) |
Sandoval County, New Mexico |
483 |
28.5 |
2.7 |
(23.2--33.7) |
San Juan County, New Mexico |
640 |
30.0 |
2.5 |
(25.1--34.9) |
Santa Fe County, New Mexico |
488 |
33.9 |
2.9 |
(28.2--39.5) |
Valencia County, New Mexico |
295 |
27.5 |
3.4 |
(20.8--34.1) |
Erie County, New York |
382 |
26.5 |
2.9 |
(20.8--32.1) |
TABLE 27. (Continued) Estimated prevalence of adults aged ≥18 years who engaged in vigorous physical activity* for at least 20 minutes, 3 or more days per week, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
380 |
21.9 |
2.6 |
(16.8--26.9) |
Nassau County, New York |
361 |
24.9 |
3.2 |
(18.6--31.1) |
New York County, New York |
529 |
32.3 |
2.8 |
(26.8--37.7) |
Queens County, New York |
405 |
19.6 |
2.6 |
(14.5--24.6) |
Suffolk County, New York |
417 |
30.6 |
3.1 |
(24.5--36.6) |
Westchester County, New York |
265 |
35.5 |
3.6 |
(28.4--42.5) |
Buncombe County, North Carolina |
338 |
24.3 |
3.1 |
(18.2--30.3) |
Cabarrus County, North Carolina |
349 |
16.2 |
2.6 |
(11.1--21.2) |
Catawba County, North Carolina |
395 |
24.3 |
3.1 |
(18.2--30.3) |
Cumberland County, North Carolina |
365 |
29.0 |
3.5 |
(22.1--35.8) |
Durham County, North Carolina |
321 |
25.3 |
3.3 |
(18.8--31.7) |
Gaston County, North Carolina |
377 |
18.0 |
2.6 |
(12.9--23.0) |
Guilford County, North Carolina |
374 |
21.9 |
3.0 |
(16.0--27.7) |
Henderson County, North Carolina |
287 |
23.1 |
3.4 |
(16.4--29.7) |
Johnston County, North Carolina |
426 |
21.1 |
4.0 |
(13.2--28.9) |
Mecklenburg County, North Carolina |
650 |
28.7 |
2.4 |
(23.9--33.4) |
New Hanover County, North Carolina |
379 |
28.7 |
3.5 |
(21.8--35.5) |
Orange County, North Carolina |
338 |
30.7 |
3.7 |
(23.4--37.9) |
Randolph County, North Carolina |
364 |
18.9 |
2.5 |
(14.0--23.8) |
Union County, North Carolina |
359 |
22.6 |
3.0 |
(16.7--28.4) |
Wake County, North Carolina |
593 |
27.2 |
2.4 |
(22.4--31.9) |
Burleigh County, North Dakota |
470 |
28.1 |
2.6 |
(23.0--33.1) |
Cass County, North Dakota |
634 |
32.1 |
2.6 |
(27.0--37.1) |
Cuyahoga County, Ohio |
726 |
27.2 |
2.2 |
(22.8--31.5) |
Franklin County, Ohio |
716 |
28.4 |
2.4 |
(23.6--33.1) |
Hamilton County, Ohio |
784 |
29.3 |
2.3 |
(24.7--33.8) |
Licking County, Ohio |
235 |
22.8 |
3.8 |
(15.3--30.2) |
Lucas County, Ohio |
746 |
28.6 |
2.2 |
(24.2--32.9) |
Mahoning County, Ohio |
767 |
25.8 |
2.3 |
(21.2--30.3) |
Montgomery County, Ohio |
696 |
29.3 |
2.6 |
(24.2--34.3) |
Stark County, Ohio |
757 |
27.3 |
2.2 |
(22.9--31.6) |
Summit County, Ohio |
705 |
29.2 |
2.2 |
(24.8--33.5) |
Canadian County, Oklahoma |
236 |
22.4 |
3.3 |
(15.9--28.8) |
Cleveland County, Oklahoma |
395 |
28.0 |
2.8 |
(22.5--33.4) |
Oklahoma County, Oklahoma |
1,211 |
27.5 |
1.6 |
(24.3--30.6) |
Tulsa County, Oklahoma |
1,444 |
25.0 |
1.5 |
(22.0--27.9) |
Clackamas County, Oregon |
470 |
34.1 |
2.7 |
(28.8--39.3) |
Multnomah County, Oregon |
798 |
29.6 |
2.0 |
(25.6--33.5) |
Washington County, Oregon |
538 |
32.0 |
2.6 |
(26.9--37.0) |
Allegheny County, Pennsylvania |
601 |
25.4 |
2.4 |
(20.6--30.1) |
Delaware County, Pennsylvania |
264 |
24.1 |
3.4 |
(17.4--30.7) |
Fayette County, Pennsylvania |
1,547 |
25.2 |
1.7 |
(21.8--28.5) |
Luzerne County, Pennsylvania |
2,207 |
26.4 |
2.2 |
(22.0--30.7) |
Montgomery County, Pennsylvania |
328 |
30.0 |
3.3 |
(23.5--36.4) |
Philadelphia County, Pennsylvania |
1,707 |
26.8 |
2.7 |
(21.5--32.0) |
Westmoreland County, Pennsylvania |
279 |
28.4 |
4.1 |
(20.3--36.4) |
Kent County, Rhode Island |
625 |
23.1 |
2.2 |
(18.7--27.4) |
Newport County, Rhode Island |
344 |
29.8 |
3.2 |
(23.5--36.0) |
Providence County, Rhode Island |
2,610 |
26.8 |
1.3 |
(24.2--29.3) |
Washington County, Rhode Island |
492 |
33.4 |
2.9 |
(27.7--39.0) |
Aiken County, South Carolina |
647 |
25.6 |
2.2 |
(21.2--29.9) |
Beaufort County, South Carolina |
816 |
33.2 |
2.5 |
(28.3--38.1) |
Berkeley County, South Carolina |
311 |
27.8 |
3.5 |
(20.9--34.6) |
Charleston County, South Carolina |
655 |
31.0 |
2.6 |
(25.9--36.0) |
Dorchester County, South Carolina |
243 |
24.1 |
3.4 |
(17.4--30.7) |
Greenville County, South Carolina |
525 |
26.0 |
2.6 |
(20.9--31.0) |
Horry County, South Carolina |
859 |
26.1 |
2.2 |
(21.7--30.4) |
Lexington County, South Carolina |
312 |
31.7 |
3.3 |
(25.2--38.1) |
Richland County, South Carolina |
414 |
27.4 |
2.7 |
(22.1--32.6) |
York County, South Carolina |
264 |
23.7 |
3.2 |
(17.4--29.9) |
Minnehaha County, South Dakota |
684 |
25.1 |
2.0 |
(21.1--29.0) |
Pennington County, South Dakota |
740 |
30.5 |
2.3 |
(25.9--35.0) |
Davidson County, Tennessee |
262 |
20.8 |
3.5 |
(13.9--27.6) |
TABLE 27. (Continued) Estimated prevalence of adults aged ≥18 years who engaged in vigorous physical activity* for at least 20 minutes, 3 or more days per week, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
650 |
17.9 |
2.3 |
(13.3--22.4) |
Shelby County, Tennessee |
287 |
19.6 |
3.3 |
(13.1--26.0) |
Sullivan County, Tennessee |
393 |
15.0 |
2.3 |
(10.4--19.5) |
Bexar County, Texas |
1,025 |
31.1 |
2.1 |
(26.9--35.2) |
Cameron County, Texas |
589 |
20.6 |
2.3 |
(16.0--25.1) |
Collin County, Texas |
249 |
31.1 |
3.8 |
(23.6--38.5) |
Dallas County, Texas |
793 |
24.9 |
2.4 |
(20.1--29.6) |
Denton County, Texas |
245 |
35.5 |
3.9 |
(27.8--43.1) |
El Paso County, Texas |
1,439 |
26.8 |
1.6 |
(23.6--29.9) |
Harris County, Texas |
905 |
26.2 |
2.2 |
(21.8--30.5) |
Hidalgo County, Texas |
907 |
22.7 |
2.1 |
(18.5--26.8) |
Tarrant County, Texas |
1,088 |
26.8 |
1.8 |
(23.2--30.3) |
Travis County, Texas |
752 |
32.7 |
2.4 |
(27.9--37.4) |
Webb County, Texas |
481 |
25.8 |
2.9 |
(20.1--31.4) |
Williamson County, Texas |
338 |
29.0 |
3.3 |
(22.5--35.4) |
Davis County, Utah |
399 |
37.0 |
2.9 |
(31.3--42.6) |
Salt Lake County, Utah |
1,574 |
33.3 |
1.5 |
(30.3--36.2) |
Tooele County, Utah |
241 |
33.1 |
4.1 |
(25.0--41.1) |
Utah County, Utah |
529 |
44.5 |
3.0 |
(38.6--50.3) |
Weber County, Utah |
392 |
31.8 |
2.8 |
(26.3--37.2) |
Chittenden County, Vermont |
1,373 |
36.8 |
1.8 |
(33.2--40.3) |
Franklin County, Vermont |
446 |
28.9 |
2.7 |
(23.6--34.1) |
Orange County, Vermont |
351 |
34.8 |
3.1 |
(28.7--40.8) |
Rutland County, Vermont |
651 |
32.0 |
2.3 |
(27.4--36.5) |
Washington County, Vermont |
667 |
34.1 |
2.4 |
(29.3--38.8) |
Windsor County, Vermont |
697 |
32.6 |
2.4 |
(27.8--37.3) |
Arlington County, Virginia |
286 |
39.1 |
4.3 |
(30.6--47.5) |
Fairfax County, Virginia |
238 |
28.6 |
4.5 |
(19.7--37.4) |
Prince William County, Virginia |
272 |
26.4 |
3.9 |
(18.7--34.0) |
Alexandria city, Virginia |
253 |
34.1 |
4.6 |
(25.0--43.1) |
Benton County, Washington |
435 |
29.6 |
3.2 |
(23.3--35.8) |
Chelan County, Washington |
528 |
32.5 |
2.7 |
(27.2--37.7) |
Clark County, Washington |
1,648 |
32.4 |
1.6 |
(29.2--35.5) |
Douglas County, Washington |
508 |
27.1 |
2.7 |
(21.8--32.3) |
King County, Washington |
4,313 |
32.2 |
0.9 |
(30.4--33.9) |
Kitsap County, Washington |
980 |
31.0 |
2.0 |
(27.0--34.9) |
Pierce County, Washington |
1,842 |
31.8 |
1.5 |
(28.8--34.7) |
Snohomish County, Washington |
2,662 |
29.9 |
1.2 |
(27.5--32.2) |
Spokane County, Washington |
1,329 |
30.2 |
1.8 |
(26.6--33.7) |
Thurston County, Washington |
1,829 |
29.1 |
1.4 |
(26.3--31.8) |
Whatcom County, Washington |
1,128 |
33.5 |
1.9 |
(29.7--37.2) |
Yakima County, Washington |
730 |
28.6 |
2.4 |
(23.8--33.3) |
Kanawha County, West Virginia |
494 |
15.6 |
2.1 |
(11.4--19.7) |
Milwaukee County, Wisconsin |
1,082 |
28.3 |
3.0 |
(22.4--34.1) |
Fremont County, Wyoming |
469 |
34.0 |
3.2 |
(27.7--40.2) |
Laramie County, Wyoming |
872 |
32.1 |
2.1 |
(27.9--36.2) |
Natrona County, Wyoming |
720 |
31.6 |
2.3 |
(27.0--36.1) |
Median |
28.4 |
|||
Range |
15.0--44.5 |
|||
* Vigorous physical activity (e.g., running, aerobics, heavy yard work) or anything else that causes a large increase in breathing and heart rate on 3 or more days per week for at least 20 minutes each day. † Standard error. § Confidence interval. ¶ Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 29. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Gainesville, Florida |
1,073 |
15.5 |
1.9 |
(11.7-19.2) |
Grand Island, Nebraska |
563 |
16.1 |
1.9 |
(12.3-19.8) |
Grand Rapids-Wyoming, Michigan |
508 |
17.1 |
2.3 |
(12.5-21.6) |
Greeley, Colorado |
538 |
17.8 |
2.3 |
(13.2-22.3) |
Greensboro-High Point, North Carolina |
826 |
28.3 |
2.8 |
(22.8-33.7) |
Greenville, South Carolina |
879 |
21.6 |
2.1 |
(17.4-25.7) |
Gulfport-Biloxi, Mississippi |
503 |
28.8 |
2.7 |
(23.5-34.0) |
Hagerstown-Martinsburg, Maryland-West Virginia |
709 |
23.1 |
2.3 |
(18.5-27.6) |
Hartford-West Hartford-East Hartford, Connecticut |
2,361 |
14.5 |
1.1 |
(12.3-16.6) |
Hickory-Morganton-Lenoir, North Carolina |
868 |
25.9 |
2.2 |
(21.5-30.2) |
Hilo, Hawaii |
1,515 |
19.3 |
1.4 |
(16.5-22.0) |
Hilton Head Island-Beaufort, South Carolina |
940 |
20.0 |
2.4 |
(15.2-24.7) |
Homosassa Springs, Florida |
581 |
26.3 |
2.6 |
(21.2-31.3) |
Honolulu, Hawaii |
2,916 |
16.6 |
0.9 |
(14.8-18.3) |
Houston-Sugar Land-Baytown, Texas |
1,554 |
16.5 |
1.4 |
(13.7-19.2) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
601 |
34.4 |
3.0 |
(28.5-40.2) |
Idaho Falls, Idaho |
507 |
12.3 |
1.7 |
(8.9-15.6) |
Indianapolis-Carmel, Indiana |
1,578 |
22.8 |
1.5 |
(19.8-25.7) |
Jackson, Mississippi |
1,163 |
20.6 |
1.6 |
(17.4-23.7) |
Jacksonville, Florida |
3,995 |
21.5 |
0.9 |
(19.7-23.2) |
Kahului-Wailuku, Hawaii |
1,507 |
17.0 |
1.4 |
(14.2-19.7) |
Kalispell, Montana |
556 |
22.4 |
2.3 |
(17.8-26.9) |
Kansas City, Missouri-Kansas |
3,350 |
19.7 |
1.1 |
(17.5-21.8) |
Kapaa, Hawaii |
650 |
17.5 |
2.0 |
(13.5-21.4) |
Kennewick-Richland-Pasco, Washington |
681 |
15.2 |
2.0 |
(11.2-19.1) |
Key West-Marathon, Florida |
503 |
22.1 |
2.8 |
(16.6-27.5) |
Kingsport-Bristol, Tennessee-Virginia |
589 |
30.5 |
2.7 |
(25.2-35.7) |
Lake Charles, Louisiana |
540 |
24.8 |
2.4 |
(20.0-29.5) |
Lake City, Florida |
586 |
29.5 |
3.5 |
(22.6-36.3) |
Lakeland-Winter Haven, Florida |
523 |
18.6 |
2.1 |
(14.4-22.7) |
Laredo, Texas |
506 |
18.2 |
2.7 |
(12.9-23.4) |
Las Cruces, New Mexico |
709 |
18.2 |
1.9 |
(14.4-21.9) |
Las Vegas-Paradise, Nevada |
1,367 |
21.6 |
1.4 |
(18.8-24.3) |
Lebanon, New Hampshire-Vermont |
1,604 |
18.0 |
1.4 |
(15.2-20.7) |
Lewiston, Idaho-Washington |
519 |
22.1 |
2.3 |
(17.5-26.6) |
Lincoln, Nebraska |
710 |
19.4 |
2.4 |
(14.6-24.1) |
Little Rock-North Little Rock, Arkansas |
1,243 |
20.5 |
1.5 |
(17.5-23.4) |
Los Angeles-Long Beach-Glendale, California¶ |
868 |
14.2 |
1.6 |
(11.0-17.3) |
Louisville, Kentucky-Indiana |
863 |
25.0 |
2.0 |
(21.0-28.9) |
Manchester-Nashua, New Hampshire |
1,438 |
18.3 |
1.3 |
(15.7-20.8) |
McAllen-Edinburg-Mission, Texas |
950 |
17.8 |
2.1 |
(13.6-21.9) |
Memphis, Tennessee-Mississippi-Arkansas |
983 |
22.9 |
2.1 |
(18.7-27.0) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,169 |
17.0 |
1.5 |
(14.0-19.9) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,539 |
21.3 |
1.9 |
(17.5-25.0) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,745 |
16.0 |
1.0 |
(14.0-17.9) |
Mobile, Alabama |
576 |
26.9 |
2.6 |
(21.8-31.9) |
Montgomery, Alabama |
515 |
19.9 |
3.0 |
(14.0-25.7) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
910 |
25.2 |
1.9 |
(21.4-28.9) |
Naples-Marco Island, Florida |
816 |
16.7 |
1.9 |
(12.9-20.4) |
Nashville-Davidson-Murfreesboro, Tennessee |
608 |
21.4 |
2.2 |
(17.0-25.7) |
Nassau-Suffolk, New York¶ |
812 |
18.8 |
1.9 |
(15.0-22.5) |
Newark-Union, New Jersey-Pennsylvania¶ |
2,005 |
16.5 |
1.5 |
(13.5-19.4) |
New Haven-Milford, Connecticut |
1,786 |
17.7 |
1.4 |
(14.9-20.4) |
New Orleans-Metairie-Kenner, Louisiana |
1,239 |
22.0 |
1.7 |
(18.6-25.3) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,401 |
14.7 |
0.9 |
(12.9-16.4) |
Nogales, Arizona |
527 |
18.0 |
3.0 |
(12.1-23.8) |
Norwich-New London, Connecticut |
500 |
17.3 |
2.3 |
(12.7-21.8) |
Ocala, Florida |
634 |
23.3 |
2.9 |
(17.6-28.9) |
Ogden-Clearfield, Utah |
843 |
10.6 |
1.5 |
(7.6-13.5) |
Okeechobee, Florida |
727 |
20.7 |
2.2 |
(16.3-25.0) |
Oklahoma City, Oklahoma |
2,285 |
23.1 |
1.1 |
(20.9-25.2) |
Olympia, Washington |
1,870 |
17.3 |
1.2 |
(14.9-19.6) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,549 |
22.0 |
1.7 |
(18.6-25.3) |
Orlando-Kissimmee, Florida |
2,684 |
16.0 |
1.3 |
(13.4-18.5) |
TABLE 29. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Palm Bay-Melbourne-Titusville, Florida |
555 |
20.5 |
2.3 |
(15.9-25.0) |
Palm Coast, Florida |
535 |
23.9 |
2.6 |
(18.8-28.9) |
Panama City-Lynn Haven, Florida |
543 |
22.6 |
2.3 |
(18.0-27.1) |
Pensacola-Ferry Pass-Brent, Florida |
1,029 |
23.7 |
1.7 |
(20.3-27.0) |
Philadelphia, Pennsylvania¶ |
2,860 |
20.6 |
1.4 |
(17.8-23.3) |
Phoenix-Mesa-Scottsdale, Arizona |
1,282 |
19.8 |
2.0 |
(15.8-23.7) |
Pittsburgh, Pennsylvania |
2,955 |
20.2 |
1.5 |
(17.2-23.1) |
Portland-South Portland-Biddeford, Maine |
2,093 |
18.7 |
1.2 |
(16.3-21.0) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,957 |
13.5 |
0.8 |
(11.9-15.0) |
Port St. Lucie-Fort Pierce, Florida |
1,078 |
18.7 |
1.7 |
(15.3-22.0) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,132 |
18.3 |
0.7 |
(16.9-19.6) |
Provo-Orem, Utah |
584 |
6.5 |
1.4 |
(3.7-9.2) |
Raleigh-Cary, North Carolina |
1,089 |
19.1 |
2.1 |
(14.9-23.2) |
Rapid City, South Dakota |
976 |
21.1 |
1.7 |
(17.7-24.4) |
Reno-Sparks, Nevada |
1,397 |
20.0 |
1.4 |
(17.2-22.7) |
Richmond, Virginia |
858 |
20.8 |
2.1 |
(16.6-24.9) |
Riverside-San Bernardino-Ontario, California |
684 |
20.1 |
2.3 |
(15.5-24.6) |
Riverton, Wyoming |
503 |
24.4 |
2.5 |
(19.5-29.3) |
Rockingham County-Strafford County, New Hampshire¶ |
1,612 |
21.1 |
1.4 |
(18.3-23.8) |
Rutland, Vermont |
680 |
19.4 |
2.0 |
(15.4-23.3) |
St. Louis, Missouri-Illinois |
1,569 |
22.4 |
1.8 |
(18.8-25.9) |
Salt Lake City, Utah |
2,135 |
14.4 |
1.2 |
(12.0-16.7) |
San Antonio, Texas |
1,414 |
17.5 |
1.5 |
(14.5-20.4) |
San Diego-Carlsbad-San Marcos, California |
512 |
15.0 |
2.2 |
(10.6-19.3) |
San Francisco-Oakland-Fremont, California |
778 |
12.5 |
1.8 |
(8.9-16.0) |
Santa Fe, New Mexico |
522 |
18.2 |
2.3 |
(13.6-22.7) |
Sarasota-Bradenton-Venice, Florida |
1,332 |
20.2 |
1.8 |
(16.6-23.7) |
Scranton-Wilkes-Barre, Pennsylvania |
2,518 |
22.9 |
2.0 |
(18.9-26.8) |
Seaford, Delaware |
1,235 |
19.8 |
1.5 |
(16.8-22.7) |
Seattle-Bellevue-Everett, Washington¶ |
7,164 |
13.7 |
0.6 |
(12.5-14.8) |
Sebring, Florida |
763 |
15.4 |
1.9 |
(11.6-19.1) |
Sioux City, Iowa-Nebraska-South Dakota |
891 |
24.6 |
3.0 |
(18.7-30.4) |
Sioux Falls, South Dakota |
976 |
17.4 |
1.5 |
(14.4-20.3) |
Spokane, Washington |
1,373 |
18.8 |
1.5 |
(15.8-21.7) |
Springfield, Massachusetts |
2,587 |
18.0 |
1.4 |
(15.2-20.7) |
Tacoma, Washington¶ |
1,898 |
20.3 |
1.3 |
(17.7-22.8) |
Tallahassee, Florida |
2,094 |
15.0 |
1.4 |
(12.2-17.7) |
Tampa-St. Petersburg-Clearwater, Florida |
2,182 |
23.4 |
1.5 |
(20.4-26.3) |
Toledo, Ohio |
987 |
22.4 |
2.0 |
(18.4-26.3) |
Topeka, Kansas |
785 |
19.3 |
1.7 |
(15.9-22.6) |
Tucson, Arizona |
743 |
18.5 |
2.1 |
(14.3-22.6) |
Tulsa, Oklahoma |
2,095 |
26.0 |
1.4 |
(23.2-28.7) |
Tuscaloosa, Alabama |
539 |
20.4 |
2.7 |
(15.1-25.6) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,152 |
19.1 |
1.9 |
(15.3-22.8) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,488 |
19.7 |
1.4 |
(16.9-22.4) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,777 |
14.9 |
1.2 |
(12.5-17.2) |
Wauchula, Florida |
692 |
15.1 |
2.9 |
(9.4-20.7) |
Wenatchee, Washington |
1,072 |
14.7 |
1.5 |
(11.7-17.6) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
545 |
17.4 |
2.4 |
(12.6-22.1) |
Wichita, Kansas |
1,558 |
20.0 |
1.3 |
(17.4-22.5) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,763 |
18.4 |
1.2 |
(16.0-20.7) |
Wilmington, North Carolina |
613 |
26.5 |
2.9 |
(20.8-32.1) |
Worcester, Massachusetts |
2,747 |
20.2 |
1.3 |
(17.6-22.7) |
Yakima, Washington |
752 |
16.7 |
2.1 |
(12.5-20.8) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,043 |
24.5 |
2.5 |
(19.6-29.4) |
Yuma, Arizona |
560 |
15.3 |
2.0 |
(11.3-19.2) |
Median |
19.7 |
|||
Range |
6.5-34.4 |
|||
* Smoked everyday or someday during the period of survey. † Standard error. § Confidence interval. ¶ Metropolitan division. |
TABLE 30. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
634 |
23.3 |
2.9 |
(17.6--28.9) |
Martin County, Florida |
546 |
16.7 |
2.1 |
(12.5--20.8) |
Miami-Dade County, Florida |
612 |
15.7 |
2.1 |
(11.5--19.8) |
Monroe County, Florida |
503 |
22.1 |
2.8 |
(16.6--27.5) |
Nassau County, Florida |
542 |
24.1 |
2.4 |
(19.3--28.8) |
Okeechobee County, Florida |
727 |
20.7 |
2.2 |
(16.3--25.0) |
Orange County, Florida |
821 |
14.1 |
2.0 |
(10.1--18.0) |
Osceola County, Florida |
714 |
19.5 |
2.0 |
(15.5--23.4) |
Palm Beach County, Florida |
545 |
17.4 |
2.4 |
(12.6--22.1) |
Pasco County, Florida |
555 |
29.7 |
2.7 |
(24.4--34.9) |
Pinellas County, Florida |
541 |
17.7 |
2.0 |
(13.7--21.6) |
Polk County, Florida |
523 |
18.6 |
2.1 |
(14.4--22.7) |
St. Johns County, Florida |
561 |
17.9 |
2.1 |
(13.7--22.0) |
St. Lucie County, Florida |
532 |
19.8 |
2.4 |
(15.0--24.5) |
Santa Rosa County, Florida |
502 |
23.5 |
2.3 |
(18.9--28.0) |
Sarasota County, Florida |
831 |
22.5 |
2.4 |
(17.7--27.2) |
Seminole County, Florida |
535 |
15.8 |
2.2 |
(11.4--20.1) |
Volusia County, Florida |
514 |
21.9 |
2.6 |
(16.8--26.9) |
Wakulla County, Florida |
550 |
23.8 |
2.8 |
(18.3--29.2) |
Clayton County, Georgia |
342 |
15.5 |
2.8 |
(10.0--20.9) |
Cobb County, Georgia |
409 |
10.5 |
1.9 |
(6.7--14.2) |
DeKalb County, Georgia |
430 |
11.9 |
2.3 |
(7.3--16.4) |
Fulton County, Georgia |
411 |
14.7 |
2.7 |
(9.4--19.9) |
Gwinnett County, Georgia |
319 |
14.2 |
3.0 |
(8.3--20.0) |
Hawaii County, Hawaii |
1,515 |
19.3 |
1.4 |
(16.5--22.0) |
Honolulu County, Hawaii |
2,916 |
16.6 |
0.9 |
(14.8--18.3) |
Kauai County, Hawaii |
650 |
17.5 |
2.0 |
(13.5--21.4) |
Maui County, Hawaii |
1,507 |
17.0 |
1.4 |
(14.2--19.7) |
Ada County, Idaho |
648 |
16.7 |
2.1 |
(12.5--20.8) |
Bonneville County, Idaho |
392 |
11.9 |
1.9 |
(8.1--15.6) |
Canyon County, Idaho |
490 |
19.7 |
2.3 |
(15.1--24.2) |
Nez Perce County, Idaho |
275 |
20.9 |
3.1 |
(14.8--26.9) |
Cook County, Illinois |
1,654 |
20.3 |
1.3 |
(17.7--22.8) |
DuPage County, Illinois |
381 |
18.9 |
2.8 |
(13.4--24.3) |
Lake County, Illinois |
296 |
19.0 |
2.8 |
(13.5--24.4) |
Lake County, Indiana |
572 |
25.2 |
3.2 |
(18.9--31.4) |
Marion County, Indiana |
1,125 |
25.5 |
2.0 |
(21.5--29.4) |
Polk County, Iowa |
729 |
17.1 |
1.7 |
(13.7--20.4) |
Johnson County, Kansas |
1,543 |
13.4 |
1.2 |
(11.0--15.7) |
Sedgwick County, Kansas |
1,173 |
20.0 |
1.5 |
(17.0--22.9) |
Shawnee County, Kansas |
552 |
21.1 |
2.2 |
(16.7--25.4) |
Wyandotte County, Kansas |
350 |
22.5 |
2.8 |
(17.0--27.9) |
Jefferson County, Kentucky |
476 |
24.4 |
2.7 |
(19.1--29.6) |
Calcasieu Parish, Louisiana |
518 |
25.3 |
2.4 |
(20.5--30.0) |
East Baton Rouge Parish, Louisiana |
506 |
14.0 |
2.0 |
(10.0--17.9) |
Jefferson Parish, Louisiana |
422 |
22.3 |
2.7 |
(17.0--27.5) |
Orleans Parish, Louisiana |
295 |
22.2 |
3.4 |
(15.5--28.8) |
St. Tammany Parish, Louisiana |
331 |
19.7 |
2.9 |
(14.0--25.3) |
Cumberland County, Maine |
1,082 |
15.8 |
1.4 |
(13.0--18.5) |
Kennebec County, Maine |
546 |
23.1 |
2.1 |
(18.9--27.2) |
Penobscot County, Maine |
659 |
19.8 |
1.9 |
(16.0--23.5) |
Sagadahoc County, Maine |
278 |
20.3 |
3.0 |
(14.4--26.1) |
York County, Maine |
733 |
21.7 |
2.1 |
(17.5--25.8) |
Anne Arundel County, Maryland |
553 |
16.6 |
2.1 |
(12.4--20.7) |
Baltimore County, Maryland |
981 |
19.5 |
1.6 |
(16.3--22.6) |
Charles County, Maryland |
297 |
17.5 |
2.8 |
(12.0--22.9) |
Frederick County, Maryland |
541 |
16.3 |
2.0 |
(12.3--20.2) |
Harford County, Maryland |
304 |
19.0 |
2.9 |
(13.3--24.6) |
Howard County, Maryland |
339 |
10.3 |
2.1 |
(6.1--14.4) |
Montgomery County, Maryland |
1,096 |
8.8 |
1.1 |
(6.6--10.9) |
Prince George´s County, Maryland |
647 |
14.7 |
1.9 |
(10.9--18.4) |
Queen Anne´s County, Maryland |
256 |
22.0 |
3.8 |
(14.5--29.4) |
Washington County, Maryland |
440 |
19.3 |
2.7 |
(14.0--24.5) |
TABLE 30. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
496 |
26.8 |
2.7 |
(21.5--32.0) |
Barnstable County, Massachusetts |
584 |
15.6 |
2.1 |
(11.4--19.7) |
Bristol County, Massachusetts |
3,658 |
21.0 |
1.3 |
(18.4--23.5) |
Essex County, Massachusetts |
2,967 |
15.8 |
1.4 |
(13.0--18.5) |
Hampden County, Massachusetts |
2,016 |
19.8 |
1.7 |
(16.4--23.1) |
Hampshire County, Massachusetts |
366 |
13.2 |
2.4 |
(8.4--17.9) |
Middlesex County, Massachusetts |
3,950 |
14.3 |
1.0 |
(12.3--16.2) |
Norfolk County, Massachusetts |
1,251 |
12.1 |
1.3 |
(9.5--14.6) |
Plymouth County, Massachusetts |
840 |
21.4 |
2.1 |
(17.2--25.5) |
Suffolk County, Massachusetts |
2,390 |
16.0 |
1.3 |
(13.4--18.5) |
Worcester County, Massachusetts |
2,747 |
20.2 |
1.3 |
(17.6--22.7) |
Kent County, Michigan |
379 |
17.0 |
2.6 |
(11.9--22.0) |
Macomb County, Michigan |
408 |
23.4 |
2.7 |
(18.1--28.6) |
Oakland County, Michigan |
777 |
18.7 |
2.0 |
(14.7--22.6) |
Wayne County, Michigan |
1,648 |
23.1 |
1.7 |
(19.7--26.4) |
Anoka County, Minnesota |
271 |
14.3 |
2.7 |
(9.0--19.5) |
Dakota County, Minnesota |
348 |
17.1 |
2.7 |
(11.8--22.3) |
Hennepin County, Minnesota |
942 |
14.8 |
1.7 |
(11.4--18.1) |
Ramsey County, Minnesota |
413 |
15.5 |
2.4 |
(10.7--20.2) |
DeSoto County, Mississippi |
259 |
26.9 |
3.8 |
(19.4--34.3) |
Harrison County, Mississippi |
383 |
29.5 |
3.1 |
(23.4--35.5) |
Hinds County, Mississippi |
524 |
21.8 |
2.5 |
(16.9--26.7) |
Rankin County, Mississippi |
298 |
24.6 |
3.0 |
(18.7--30.4) |
Jackson County, Missouri |
496 |
25.3 |
2.3 |
(20.7--29.8) |
St. Louis County, Missouri |
457 |
19.4 |
2.8 |
(13.9--24.8) |
St. Louis City, Missouri |
469 |
23.1 |
2.7 |
(17.8--28.3) |
Flathead County, Montana |
556 |
22.4 |
2.3 |
(17.8--26.9) |
Yellowstone County, Montana |
447 |
15.3 |
2.1 |
(11.1--19.4) |
Dakota County, Nebraska |
483 |
19.1 |
2.1 |
(14.9--23.2) |
Douglas County, Nebraska |
603 |
23.8 |
2.5 |
(18.9--28.7) |
Hall County, Nebraska |
376 |
18.2 |
2.5 |
(13.3--23.1) |
Lancaster County, Nebraska |
548 |
19.8 |
2.6 |
(14.7--24.8) |
Sarpy County, Nebraska |
384 |
17.1 |
3.0 |
(11.2--22.9) |
Clark County, Nevada |
1,367 |
21.6 |
1.4 |
(18.8--24.3) |
Washoe County, Nevada |
1,374 |
20.1 |
1.4 |
(17.3--22.8) |
Grafton County, New Hampshire |
512 |
17.6 |
2.1 |
(13.4--21.7) |
Hillsborough County, New Hampshire |
1,438 |
18.3 |
1.3 |
(15.7--20.8) |
Merrimack County, New Hampshire |
648 |
16.9 |
2.0 |
(12.9--20.8) |
Rockingham County, New Hampshire |
993 |
20.0 |
1.6 |
(16.8--23.1) |
Strafford County, New Hampshire |
619 |
23.7 |
2.4 |
(18.9--28.4) |
Bergen County, New Jersey |
384 |
9.7 |
1.7 |
(6.3--13.0) |
Burlington County, New Jersey |
341 |
19.2 |
3.1 |
(13.1--25.2) |
Camden County, New Jersey |
324 |
20.4 |
3.3 |
(13.9--26.8) |
Essex County, New Jersey |
539 |
18.3 |
2.7 |
(13.0--23.5) |
Gloucester County, New Jersey |
337 |
19.8 |
3.1 |
(13.7--25.8) |
Hudson County, New Jersey |
574 |
23.9 |
2.6 |
(18.8--28.9) |
Hunterdon County, New Jersey |
367 |
11.4 |
2.0 |
(7.4--15.3) |
Middlesex County, New Jersey |
384 |
12.6 |
2.0 |
(8.6--16.5) |
Monmouth County, New Jersey |
326 |
17.0 |
2.8 |
(11.5--22.4) |
Morris County, New Jersey |
420 |
17.4 |
2.6 |
(12.3--22.4) |
Ocean County, New Jersey |
330 |
23.2 |
3.6 |
(16.1--30.2) |
Passaic County, New Jersey |
282 |
14.6 |
2.6 |
(9.5--19.6) |
Somerset County, New Jersey |
360 |
10.1 |
2.2 |
(5.7--14.4) |
Sussex County, New Jersey |
333 |
18.4 |
2.9 |
(12.7--24.0) |
Union County, New Jersey |
312 |
16.9 |
3.2 |
(10.6--23.1) |
Warren County, New Jersey |
309 |
23.5 |
3.1 |
(17.4--29.5) |
Bernalillo County, New Mexico |
1,101 |
20.0 |
1.6 |
(16.8--23.1) |
Dona Ana County, New Mexico |
709 |
18.2 |
1.9 |
(14.4--21.9) |
Sandoval County, New Mexico |
505 |
18.8 |
2.7 |
(13.5--24.0) |
San Juan County, New Mexico |
681 |
22.5 |
2.1 |
(18.3--26.6) |
Santa Fe County, New Mexico |
522 |
18.2 |
2.3 |
(13.6--22.7) |
Valencia County, New Mexico |
316 |
29.1 |
3.3 |
(22.6--35.5) |
Erie County, New York |
399 |
19.0 |
2.4 |
(14.2--23.7) |
TABLE 30. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
414 |
15.6 |
2.3 |
(11.0--20.1) |
Nassau County, New York |
377 |
16.8 |
2.5 |
(11.9--21.7) |
New York County, New York |
563 |
14.7 |
2.1 |
(10.5--18.8) |
Queens County, New York |
439 |
11.6 |
1.8 |
(8.0--15.1) |
Suffolk County, New York |
435 |
19.9 |
2.7 |
(14.6--25.1) |
Westchester County, New York |
277 |
15.6 |
2.6 |
(10.5--20.6) |
Buncombe County, North Carolina |
354 |
22.3 |
2.9 |
(16.6--27.9) |
Cabarrus County, North Carolina |
357 |
20.6 |
3.1 |
(14.5--26.6) |
Catawba County, North Carolina |
409 |
22.8 |
2.9 |
(17.1--28.4) |
Cumberland County, North Carolina |
376 |
24.4 |
3.1 |
(18.3--30.4) |
Durham County, North Carolina |
333 |
10.1 |
1.9 |
(6.3--13.8) |
Gaston County, North Carolina |
390 |
23.6 |
2.7 |
(18.3--28.8) |
Guilford County, North Carolina |
383 |
23.6 |
3.4 |
(16.9--30.2) |
Henderson County, North Carolina |
295 |
18.8 |
3.1 |
(12.7--24.8) |
Johnston County, North Carolina |
438 |
24.8 |
3.6 |
(17.7--31.8) |
Mecklenburg County, North Carolina |
682 |
16.2 |
1.9 |
(12.4--19.9) |
New Hanover County, North Carolina |
389 |
21.3 |
3.3 |
(14.8--27.7) |
Orange County, North Carolina |
345 |
12.8 |
3.4 |
(6.1--19.4) |
Randolph County, North Carolina |
374 |
29.1 |
3.2 |
(22.8--35.3) |
Union County, North Carolina |
376 |
18.0 |
2.8 |
(12.5--23.4) |
Wake County, North Carolina |
605 |
17.3 |
2.4 |
(12.5--22.0) |
Burleigh County, North Dakota |
498 |
18.4 |
2.2 |
(14.0--22.7) |
Cass County, North Dakota |
676 |
20.5 |
2.2 |
(16.1--24.8) |
Cuyahoga County, Ohio |
762 |
20.1 |
1.8 |
(16.5--23.6) |
Franklin County, Ohio |
756 |
22.7 |
2.3 |
(18.1--27.2) |
Hamilton County, Ohio |
830 |
20.7 |
1.9 |
(16.9--24.4) |
Licking County, Ohio |
253 |
23.6 |
3.4 |
(16.9--30.2) |
Lucas County, Ohio |
785 |
24.4 |
2.1 |
(20.2--28.5) |
Mahoning County, Ohio |
819 |
20.5 |
2.1 |
(16.3--24.6) |
Montgomery County, Ohio |
745 |
23.5 |
2.4 |
(18.7--28.2) |
Stark County, Ohio |
796 |
24.5 |
2.0 |
(20.5--28.4) |
Summit County, Ohio |
749 |
21.8 |
2.0 |
(17.8--25.7) |
Canadian County, Oklahoma |
249 |
25.0 |
3.3 |
(18.5--31.4) |
Cleveland County, Oklahoma |
414 |
22.5 |
2.7 |
(17.2--27.7) |
Oklahoma County, Oklahoma |
1,284 |
22.5 |
1.4 |
(19.7--25.2) |
Tulsa County, Oklahoma |
1,511 |
24.9 |
1.5 |
(21.9--27.8) |
Clackamas County, Oregon |
483 |
11.2 |
1.8 |
(7.6--14.7) |
Multnomah County, Oregon |
814 |
14.7 |
1.6 |
(11.5--17.8) |
Washington County, Oregon |
559 |
10.7 |
1.6 |
(7.5--13.8) |
Allegheny County, Pennsylvania |
640 |
21.2 |
2.3 |
(16.6--25.7) |
Delaware County, Pennsylvania |
273 |
24.0 |
3.3 |
(17.5--30.4) |
Fayette County, Pennsylvania |
1,629 |
27.4 |
1.9 |
(23.6--31.1) |
Luzerne County, Pennsylvania |
2,329 |
24.3 |
1.8 |
(20.7--27.8) |
Montgomery County, Pennsylvania |
334 |
13.9 |
2.5 |
(9.0--18.8) |
Philadelphia County, Pennsylvania |
1,810 |
25.0 |
2.4 |
(20.2--29.7) |
Westmoreland County, Pennsylvania |
294 |
19.7 |
3.3 |
(13.2--26.1) |
Kent County, Rhode Island |
655 |
22.7 |
2.2 |
(18.3--27.0) |
Newport County, Rhode Island |
361 |
18.0 |
2.8 |
(12.5--23.4) |
Providence County, Rhode Island |
2,728 |
16.4 |
0.9 |
(14.6--18.1) |
Washington County, Rhode Island |
517 |
13.2 |
2.3 |
(8.6--17.7) |
Aiken County, South Carolina |
685 |
18.7 |
1.9 |
(14.9--22.4) |
Beaufort County, South Carolina |
851 |
20.4 |
2.5 |
(15.5--25.3) |
Berkeley County, South Carolina |
328 |
24.7 |
3.1 |
(18.6--30.7) |
Charleston County, South Carolina |
684 |
24.5 |
2.7 |
(19.2--29.7) |
Dorchester County, South Carolina |
251 |
20.5 |
3.1 |
(14.4--26.5) |
Greenville County, South Carolina |
551 |
20.7 |
2.5 |
(15.8--25.6) |
Horry County, South Carolina |
910 |
25.2 |
1.9 |
(21.4--28.9) |
Lexington County, South Carolina |
333 |
20.0 |
2.7 |
(14.7--25.2) |
Richland County, South Carolina |
441 |
17.6 |
2.2 |
(13.2--21.9) |
York County, South Carolina |
280 |
21.3 |
2.9 |
(15.6--26.9) |
Minnehaha County, South Dakota |
726 |
19.9 |
1.8 |
(16.3--23.4) |
Pennington County, South Dakota |
766 |
21.6 |
2.0 |
(17.6--25.5) |
Davidson County, Tennessee |
283 |
17.5 |
3.2 |
(11.2--23.7) |
TABLE 30. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
686 |
21.5 |
2.0 |
(17.5--25.4) |
Shelby County, Tennessee |
299 |
20.3 |
2.7 |
(15.0--25.5) |
Sullivan County, Tennessee |
422 |
29.5 |
3.0 |
(23.6--35.3) |
Bexar County, Texas |
1,057 |
17.5 |
1.7 |
(14.1--20.8) |
Cameron County, Texas |
621 |
11.8 |
1.7 |
(8.4--15.1) |
Collin County, Texas |
261 |
12.6 |
2.8 |
(7.1--18.0) |
Dallas County, Texas |
853 |
15.8 |
1.9 |
(12.0--19.5) |
Denton County, Texas |
258 |
13.7 |
2.9 |
(8.0--19.3) |
El Paso County, Texas |
1,513 |
18.0 |
1.4 |
(15.2--20.7) |
Harris County, Texas |
972 |
18.1 |
2.0 |
(14.1--22.0) |
Hidalgo County, Texas |
950 |
17.8 |
2.1 |
(13.6--21.9) |
Tarrant County, Texas |
1,146 |
20.8 |
1.7 |
(17.4--24.1) |
Travis County, Texas |
793 |
19.1 |
2.1 |
(14.9--23.2) |
Webb County, Texas |
506 |
18.2 |
2.7 |
(12.9--23.4) |
Williamson County, Texas |
359 |
14.7 |
2.3 |
(10.1--19.2) |
Davis County, Utah |
420 |
7.9 |
1.8 |
(4.3--11.4) |
Salt Lake County, Utah |
1,644 |
14.5 |
1.3 |
(11.9--17.0) |
Tooele County, Utah |
251 |
15.0 |
2.8 |
(9.5--20.4) |
Utah County, Utah |
550 |
6.5 |
1.4 |
(3.7--9.2) |
Weber County, Utah |
405 |
14.6 |
2.1 |
(10.4--18.7) |
Chittenden County, Vermont |
1,415 |
10.1 |
1.0 |
(8.1--12.0) |
Franklin County, Vermont |
468 |
19.8 |
2.6 |
(14.7--24.8) |
Orange County, Vermont |
372 |
20.6 |
2.8 |
(15.1--26.0) |
Rutland County, Vermont |
680 |
19.4 |
2.0 |
(15.4--23.3) |
Washington County, Vermont |
692 |
16.9 |
1.8 |
(13.3--20.4) |
Windsor County, Vermont |
720 |
17.0 |
2.0 |
(13.0--20.9) |
Arlington County, Virginia |
296 |
12.6 |
3.6 |
(5.5--19.6) |
Fairfax County, Virginia |
249 |
9.2 |
3.0 |
(3.3--15.0) |
Prince William County, Virginia |
281 |
18.3 |
3.2 |
(12.0--24.5) |
Alexandria city, Virginia |
262 |
10.4 |
3.3 |
(3.9--16.8) |
Benton County, Washington |
450 |
16.0 |
2.3 |
(11.4--20.5) |
Chelan County, Washington |
544 |
14.1 |
1.9 |
(10.3--17.8) |
Clark County, Washington |
1,691 |
17.8 |
1.3 |
(15.2--20.3) |
Douglas County, Washington |
528 |
15.5 |
2.2 |
(11.1--19.8) |
King County, Washington |
4,427 |
12.7 |
0.7 |
(11.3--14.0) |
Kitsap County, Washington |
1,004 |
19.5 |
1.7 |
(16.1--22.8) |
Pierce County, Washington |
1,898 |
20.4 |
1.3 |
(17.8--22.9) |
Snohomish County, Washington |
2,737 |
16.5 |
1.0 |
(14.5--18.4) |
Spokane County, Washington |
1,373 |
18.8 |
1.5 |
(15.8--21.7) |
Thurston County, Washington |
1,870 |
17.3 |
1.2 |
(14.9--19.6) |
Whatcom County, Washington |
1,167 |
17.0 |
1.5 |
(14.0--19.9) |
Yakima County, Washington |
752 |
16.7 |
2.1 |
(12.5--20.8) |
Kanawha County, West Virginia |
507 |
25.2 |
2.4 |
(20.4--29.9) |
Milwaukee County, Wisconsin |
1,185 |
24.9 |
2.7 |
(19.6--30.1) |
Fremont County, Wyoming |
503 |
24.4 |
2.5 |
(19.5--29.3) |
Laramie County, Wyoming |
906 |
22.4 |
1.8 |
(18.8--25.9) |
Natrona County, Wyoming |
749 |
26.8 |
2.1 |
(22.6--30.9) |
Median |
19.0 |
|||
Range |
6.5--29.7 |
|||
* Smoked every day or some days during the period of survey. † Standard error. § Confidence interval. |
TABLE 32. 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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Grand Island, Nebraska |
556 |
15.0 |
2.0 |
(11.0--18.9) |
Grand Rapids-Wyoming, Michigan |
499 |
19.7 |
2.4 |
(14.9--24.4) |
Greeley, Colorado |
521 |
20.1 |
2.8 |
(14.6--25.5) |
Greensboro-High Point, North Carolina |
816 |
17.4 |
2.8 |
(11.9--22.8) |
Greenville, South Carolina |
870 |
13.1 |
1.9 |
(9.3--16.8) |
Gulfport-Biloxi, Mississippi |
494 |
14.6 |
2.3 |
(10.0--19.1) |
Hagerstown-Martinsburg, Maryland-West Virginia |
707 |
12.9 |
2.0 |
(8.9--16.8) |
Hartford-West Hartford-East Hartford, Connecticut |
2,325 |
18.2 |
1.3 |
(15.6--20.7) |
Hickory-Morganton-Lenoir, North Carolina |
856 |
11.4 |
1.9 |
(7.6--15.1) |
Hilo, Hawaii |
1,495 |
18.1 |
1.4 |
(15.3--20.8) |
Hilton Head Island-Beaufort, South Carolina |
925 |
17.0 |
2.0 |
(13.0--20.9) |
Homosassa Springs, Florida |
564 |
11.4 |
1.9 |
(7.6--15.1) |
Honolulu, Hawaii |
2,877 |
18.5 |
1.0 |
(16.5--20.4) |
Houston-Sugar Land-Baytown, Texas |
1,524 |
13.5 |
1.3 |
(10.9--16.0) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
581 |
8.7 |
1.9 |
(4.9--12.4) |
Idaho Falls, Idaho |
506 |
8.7 |
1.6 |
(5.5--11.8) |
Indianapolis-Carmel, Indiana |
1,550 |
15.2 |
1.4 |
(12.4--17.9) |
Jackson, Mississippi |
1,156 |
11.6 |
1.4 |
(8.8--14.3) |
Jacksonville, Florida |
3,882 |
16.3 |
0.9 |
(14.5--18.0) |
Kahului-Wailuku, Hawaii |
1,493 |
19.6 |
1.6 |
(16.4--22.7) |
Kalispell, Montana |
550 |
16.4 |
2.1 |
(12.2--20.5) |
Kansas City, Missouri-Kansas |
3,316 |
16.6 |
1.1 |
(14.4--18.7) |
Kapaa, Hawaii |
645 |
19.0 |
2.2 |
(14.6--23.3) |
Kennewick-Richland-Pasco, Washington |
674 |
15.6 |
2.3 |
(11.0--20.1) |
Key West-Marathon, Florida |
484 |
20.3 |
2.7 |
(15.0--25.5) |
Kingsport-Bristol, Tennessee-Virginia |
576 |
9.6 |
2.1 |
(5.4--13.7) |
Lake Charles, Louisiana |
525 |
12.1 |
2.0 |
(8.1--16.0) |
Lake City, Florida |
568 |
13.1 |
2.2 |
(8.7--17.4) |
Lakeland-Winter Haven, Florida |
507 |
14.5 |
2.1 |
(10.3--18.6) |
Laredo, Texas |
504 |
18.0 |
2.7 |
(12.7--23.2) |
Las Cruces, New Mexico |
699 |
14.0 |
2.0 |
(10.0--17.9) |
Las Vegas-Paradise, Nevada |
1,337 |
15.7 |
1.2 |
(13.3--18.0) |
Lebanon, New Hampshire-Vermont |
1,585 |
14.9 |
1.5 |
(11.9--17.8) |
Lewiston, Idaho-Washington |
509 |
15.7 |
2.3 |
(11.1--20.2) |
Lincoln, Nebraska |
702 |
15.6 |
2.2 |
(11.2--19.9) |
Little Rock-North Little Rock, Arkansas |
1,223 |
13.6 |
1.4 |
(10.8--16.3) |
Los Angeles-Long Beach-Glendale, California¶ |
834 |
16.1 |
1.7 |
(12.7--19.4) |
Louisville, Kentucky-Indiana |
820 |
8.4 |
1.3 |
(5.8--10.9) |
Manchester-Nashua, New Hampshire |
1,410 |
14.5 |
1.3 |
(11.9--17.0) |
McAllen-Edinburg-Mission, Texas |
939 |
14.1 |
2.0 |
(10.1--18.0) |
Memphis, Tennessee-Mississippi-Arkansas |
962 |
11.2 |
1.8 |
(7.6--14.7) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,125 |
12.1 |
1.3 |
(9.5--14.6) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,489 |
21.4 |
2.0 |
(17.4--25.3) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,732 |
15.3 |
1.0 |
(13.3--17.2) |
Mobile, Alabama |
562 |
12.7 |
2.3 |
(8.1--17.2) |
Montgomery, Alabama |
503 |
12.5 |
2.6 |
(7.4--17.5) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
897 |
15.6 |
1.8 |
(12.0--19.1) |
Naples-Marco Island, Florida |
785 |
11.9 |
1.5 |
(8.9--14.8) |
Nashville-Davidson-Murfreesboro, Tennessee |
585 |
12.0 |
2.1 |
(7.8--16.1) |
Nassau-Suffolk, New York¶ |
800 |
17.2 |
2.1 |
(13.0--21.3) |
Newark-Union, New Jersey-Pennsylvania¶ |
1,967 |
14.6 |
1.5 |
(11.6--17.5) |
New Haven-Milford, Connecticut |
1,764 |
18.4 |
1.7 |
(15.0--21.7) |
New Orleans-Metairie-Kenner, Louisiana |
1,197 |
17.0 |
1.5 |
(14.0--19.9) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,323 |
13.8 |
0.9 |
(12.0--15.5) |
Nogales, Arizona |
511 |
16.8 |
2.9 |
(11.1--22.4) |
Norwich-New London, Connecticut |
490 |
17.9 |
2.7 |
(12.6--23.1) |
Ocala, Florida |
616 |
15.8 |
2.9 |
(10.1--21.4) |
Ogden-Clearfield, Utah |
839 |
8.7 |
1.4 |
(5.9--11.4) |
Okeechobee, Florida |
701 |
13.4 |
1.9 |
(9.6--17.1) |
Oklahoma City, Oklahoma |
2,254 |
13.3 |
1.0 |
(11.3--15.2) |
Olympia, Washington |
1,835 |
17.2 |
1.3 |
(14.6--19.7) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,531 |
21.2 |
1.7 |
(17.8--24.5) |
Orlando-Kissimmee, Florida |
2,623 |
15.2 |
1.4 |
(12.4--17.9) |
Palm Bay-Melbourne-Titusville, Florida |
543 |
18.6 |
2.8 |
(13.1--24.0) |
Palm Coast, Florida |
522 |
15.6 |
2.3 |
(11.0--20.1) |
TABLE 32. 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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Panama City-Lynn Haven, Florida |
534 |
15.5 |
2.8 |
(10.0--20.9) |
Pensacola-Ferry Pass-Brent, Florida |
1,005 |
12.3 |
1.5 |
(9.3--15.2) |
Philadelphia, Pennsylvania¶ |
2,820 |
16.0 |
1.4 |
(13.2--18.7) |
Phoenix-Mesa-Scottsdale, Arizona |
1,260 |
15.9 |
1.8 |
(12.3--19.4) |
Pittsburgh, Pennsylvania |
2,917 |
18.2 |
1.6 |
(15.0--21.3) |
Portland-South Portland-Biddeford, Maine |
2,064 |
18.4 |
1.3 |
(15.8--20.9) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,897 |
15.7 |
1.0 |
(13.7--17.6) |
Port St. Lucie-Fort Pierce, Florida |
1,045 |
12.7 |
1.4 |
(9.9--15.4) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,023 |
19.1 |
0.9 |
(17.3--20.8) |
Provo-Orem, Utah |
582 |
4.3 |
1.3 |
(1.7--6.8) |
Raleigh-Cary, North Carolina |
1,084 |
13.0 |
1.6 |
(9.8--16.1) |
Rapid City, South Dakota |
961 |
18.5 |
1.9 |
(14.7--22.2) |
Reno-Sparks, Nevada |
1,373 |
19.9 |
1.4 |
(17.1--22.6) |
Richmond, Virginia |
847 |
16.9 |
2.1 |
(12.7--21.0) |
Riverside-San Bernardino-Ontario, California |
658 |
18.2 |
2.2 |
(13.8--22.5) |
Riverton, Wyoming |
498 |
16.7 |
2.3 |
(12.1--21.2) |
Rockingham County-Strafford County, New Hampshire¶ |
1,594 |
16.7 |
1.3 |
(14.1--19.2) |
Rutland, Vermont |
679 |
15.0 |
1.8 |
(11.4--18.5) |
St. Louis, Missouri-Illinois |
1,542 |
19.3 |
1.7 |
(15.9--22.6) |
Salt Lake City, Utah |
2,118 |
13.9 |
1.2 |
(11.5--16.2) |
San Antonio, Texas |
1,396 |
16.4 |
1.5 |
(13.4--19.3) |
San Diego-Carlsbad-San Marcos, California |
498 |
16.3 |
2.4 |
(11.5--21.0) |
San Francisco-Oakland-Fremont, California |
756 |
19.5 |
2.1 |
(15.3--23.6) |
Santa Fe, New Mexico |
507 |
10.5 |
1.8 |
(6.9--14.0) |
Sarasota-Bradenton-Venice, Florida |
1,292 |
12.3 |
1.4 |
(9.5--15.0) |
Scranton-Wilkes-Barre, Pennsylvania |
2,479 |
18.7 |
2.1 |
(14.5--22.8) |
Seaford, Delaware |
1,225 |
16.2 |
1.6 |
(13.0--19.3) |
Seattle-Bellevue-Everett, Washington¶ |
7,021 |
16.4 |
0.7 |
(15.0--17.7) |
Sebring, Florida |
740 |
12.3 |
1.9 |
(8.5--16.0) |
Sioux City, Iowa-Nebraska-South Dakota |
875 |
20.0 |
2.8 |
(14.5--25.4) |
Sioux Falls, South Dakota |
961 |
17.5 |
1.6 |
(14.3--20.6) |
Spokane, Washington |
1,349 |
16.3 |
1.5 |
(13.3--19.2) |
Springfield, Massachusetts |
2,552 |
18.0 |
1.5 |
(15.0--20.9) |
Tacoma, Washington¶ |
1,863 |
14.2 |
1.2 |
(11.8--16.5) |
Tallahassee, Florida |
2,037 |
14.0 |
1.8 |
(10.4--17.5) |
Tampa-St. Petersburg-Clearwater, Florida |
2,124 |
14.7 |
1.5 |
(11.7--17.6) |
Toledo, Ohio |
975 |
19.4 |
2.3 |
(14.8--23.9) |
Topeka, Kansas |
774 |
13.9 |
1.7 |
(10.5--17.2) |
Tucson, Arizona |
734 |
14.1 |
1.9 |
(10.3--17.8) |
Tulsa, Oklahoma |
2,075 |
14.0 |
1.3 |
(11.4--16.5) |
Tuscaloosa, Alabama |
533 |
9.3 |
1.9 |
(5.5--13.0) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,137 |
18.7 |
2.3 |
(14.1--23.2) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,465 |
19.4 |
1.5 |
(16.4--22.3) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,673 |
14.3 |
1.1 |
(12.1--16.4) |
Wauchula, Florida |
676 |
5.4 |
1.4 |
(2.6--8.1) |
Wenatchee, Washington |
1,061 |
14.2 |
1.6 |
(11.0--17.3) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
522 |
11.9 |
2.1 |
(7.7--16.0) |
Wichita, Kansas |
1,550 |
12.2 |
1.2 |
(9.8--14.5) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,751 |
18.7 |
1.5 |
(15.7--21.6) |
Wilmington, North Carolina |
605 |
16.9 |
2.7 |
(11.6--22.1) |
Worcester, Massachusetts |
2,706 |
19.0 |
1.3 |
(16.4--21.5) |
Yakima, Washington |
741 |
13.7 |
1.8 |
(10.1--17.2) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,031 |
13.7 |
2.0 |
(9.7--17.6) |
Yuma, Arizona |
546 |
13.3 |
1.8 |
(9.7--16.8) |
Median |
15.7 |
|||
Range |
4.3--21.4 |
|||
* For males: having at least five drinks on at least one occasion, for females: having at least four drinks on at least one occasion. † Standard error. § Confidence interval. ¶ Metropolitan division. |
TABLE 33. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
616 |
15.8 |
2.9 |
(10.1--21.4) |
Martin County, Florida |
528 |
13.3 |
1.9 |
(9.5--17.0) |
Miami-Dade County, Florida |
588 |
13.5 |
2.1 |
(9.3--17.6) |
Monroe County, Florida |
484 |
20.3 |
2.7 |
(15.0--25.5) |
Nassau County, Florida |
538 |
14.6 |
2.0 |
(10.6--18.5) |
Okeechobee County, Florida |
701 |
13.4 |
1.9 |
(9.6--17.1) |
Orange County, Florida |
802 |
15.2 |
2.3 |
(10.6--19.7) |
Osceola County, Florida |
700 |
12.7 |
1.9 |
(8.9--16.4) |
Palm Beach County, Florida |
522 |
11.9 |
2.1 |
(7.7--16.0) |
Pasco County, Florida |
541 |
13.7 |
2.1 |
(9.5--17.8) |
Pinellas County, Florida |
526 |
10.1 |
1.7 |
(6.7--13.4) |
Polk County, Florida |
507 |
14.5 |
2.1 |
(10.3--18.6) |
St. Johns County, Florida |
541 |
15.4 |
2.1 |
(11.2--19.5) |
St. Lucie County, Florida |
517 |
13.2 |
2.1 |
(9.0--17.3) |
Santa Rosa County, Florida |
485 |
12.4 |
1.9 |
(8.6--16.1) |
Sarasota County, Florida |
801 |
11.1 |
1.7 |
(7.7--14.4) |
Seminole County, Florida |
526 |
18.9 |
2.3 |
(14.3--23.4) |
Volusia County, Florida |
498 |
16.4 |
2.6 |
(11.3--21.4) |
Wakulla County, Florida |
539 |
13.0 |
2.0 |
(9.0--16.9) |
Clayton County, Georgia |
338 |
10.6 |
2.8 |
(5.1--16.0) |
Cobb County, Georgia |
406 |
15.8 |
2.8 |
(10.3--21.2) |
DeKalb County, Georgia |
417 |
12.1 |
2.2 |
(7.7--16.4) |
Fulton County, Georgia |
405 |
20.7 |
3.2 |
(14.4--26.9) |
Gwinnett County, Georgia |
316 |
15.4 |
3.3 |
(8.9--21.8) |
Hawaii County, Hawaii |
1,495 |
18.1 |
1.4 |
(15.3--20.8) |
Honolulu County, Hawaii |
2,877 |
18.5 |
1.0 |
(16.5--20.4) |
Kauai County, Hawaii |
645 |
19.0 |
2.2 |
(14.6--23.3) |
Maui County, Hawaii |
1,493 |
19.6 |
1.6 |
(16.4--22.7) |
Ada County, Idaho |
634 |
17.0 |
2.2 |
(12.6--21.3) |
Bonneville County, Idaho |
391 |
8.9 |
1.8 |
(5.3--12.4) |
Canyon County, Idaho |
476 |
13.3 |
2.1 |
(9.1--17.4) |
Nez Perce County, Idaho |
272 |
17.1 |
3.2 |
(10.8--23.3) |
Cook County, Illinois |
1,636 |
21.3 |
1.5 |
(18.3--24.2) |
DuPage County, Illinois |
377 |
21.0 |
2.9 |
(15.3--26.6) |
Lake County, Illinois |
295 |
15.4 |
2.8 |
(9.9--20.8) |
Lake County, Indiana |
561 |
18.6 |
3.3 |
(12.1--25.0) |
Marion County, Indiana |
1,103 |
15.7 |
1.7 |
(12.3--19.0) |
Polk County, Iowa |
721 |
17.5 |
1.7 |
(14.1--20.8) |
Johnson County, Kansas |
1,525 |
17.9 |
1.5 |
(14.9--20.8) |
Sedgwick County, Kansas |
1,166 |
12.8 |
1.4 |
(10.0--15.5) |
Shawnee County, Kansas |
543 |
15.2 |
2.3 |
(10.6--19.7) |
Wyandotte County, Kansas |
346 |
9.1 |
2.0 |
(5.1--13.0) |
Jefferson County, Kentucky |
443 |
8.8 |
1.7 |
(5.4--12.1) |
Calcasieu Parish, Louisiana |
504 |
11.4 |
1.9 |
(7.6--15.1) |
East Baton Rouge Parish, Louisiana |
482 |
14.8 |
2.2 |
(10.4--19.1) |
Jefferson Parish, Louisiana |
407 |
16.9 |
2.4 |
(12.1--21.6) |
Orleans Parish, Louisiana |
281 |
19.3 |
3.9 |
(11.6--26.9) |
St. Tammany Parish, Louisiana |
324 |
17.6 |
2.7 |
(12.3--22.8) |
Cumberland County, Maine |
1,070 |
18.9 |
1.6 |
(15.7--22.0) |
Kennebec County, Maine |
542 |
12.1 |
1.6 |
(8.9--15.2) |
Penobscot County, Maine |
649 |
17.2 |
2.0 |
(13.2--21.1) |
Sagadahoc County, Maine |
276 |
15.6 |
2.8 |
(10.1--21.0) |
York County, Maine |
718 |
17.7 |
2.2 |
(13.3--22.0) |
Anne Arundel County, Maryland |
544 |
16.1 |
2.1 |
(11.9--20.2) |
Baltimore County, Maryland |
964 |
14.3 |
1.5 |
(11.3--17.2) |
Charles County, Maryland |
296 |
15.4 |
2.7 |
(10.1--20.6) |
Frederick County, Maryland |
534 |
15.1 |
2.3 |
(10.5--19.6) |
Harford County, Maryland |
300 |
9.8 |
2.1 |
(5.6--13.9) |
Howard County, Maryland |
334 |
14.2 |
2.4 |
(9.4--18.9) |
Montgomery County, Maryland |
1,082 |
9.8 |
1.3 |
(7.2--12.3) |
Prince George´s County, Maryland |
633 |
9.7 |
1.6 |
(6.5--12.8) |
Queen Anne´s County, Maryland |
246 |
17.0 |
3.3 |
(10.5--23.4) |
Washington County, Maryland |
439 |
13.4 |
2.3 |
(8.8--17.9) |
TABLE 33. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
487 |
16.2 |
2.2 |
(11.8--20.5) |
Barnstable County, Massachusetts |
570 |
15.7 |
2.4 |
(10.9--20.4) |
Bristol County, Massachusetts |
3,600 |
19.5 |
1.6 |
(16.3--22.6) |
Essex County, Massachusetts |
2,910 |
19.0 |
1.7 |
(15.6--22.3) |
Hampden County, Massachusetts |
1,984 |
17.9 |
1.7 |
(14.5--21.2) |
Hampshire County, Massachusetts |
363 |
17.5 |
3.0 |
(11.6--23.3) |
Middlesex County, Massachusetts |
3,873 |
20.2 |
1.2 |
(17.8--22.5) |
Norfolk County, Massachusetts |
1,240 |
18.9 |
1.7 |
(15.5--22.2) |
Plymouth County, Massachusetts |
830 |
15.4 |
1.8 |
(11.8--18.9) |
Suffolk County, Massachusetts |
2,354 |
19.5 |
1.5 |
(16.5--22.4) |
Worcester County, Massachusetts |
2,706 |
19.0 |
1.3 |
(16.4--21.5) |
Kent County, Michigan |
374 |
19.0 |
2.7 |
(13.7--24.2) |
Macomb County, Michigan |
403 |
18.5 |
2.6 |
(13.4--23.5) |
Oakland County, Michigan |
769 |
19.8 |
2.2 |
(15.4--24.1) |
Wayne County, Michigan |
1,605 |
17.1 |
1.5 |
(14.1--20.0) |
Anoka County, Minnesota |
270 |
12.0 |
2.4 |
(7.2--16.7) |
Dakota County, Minnesota |
346 |
12.5 |
2.3 |
(7.9--17.0) |
Hennepin County, Minnesota |
940 |
16.2 |
1.9 |
(12.4--19.9) |
Ramsey County, Minnesota |
410 |
12.8 |
2.4 |
(8.0--17.5) |
DeSoto County, Mississippi |
255 |
10.5 |
2.7 |
(5.2--15.7) |
Harrison County, Mississippi |
374 |
14.2 |
2.5 |
(9.3--19.1) |
Hinds County, Mississippi |
521 |
11.1 |
2.1 |
(6.9--15.2) |
Rankin County, Mississippi |
294 |
10.7 |
2.3 |
(6.1--15.2) |
Jackson County, Missouri |
489 |
15.1 |
2.0 |
(11.1--19.0) |
St. Louis County, Missouri |
450 |
18.7 |
2.7 |
(13.4--23.9) |
St. Louis City, Missouri |
460 |
19.5 |
2.9 |
(13.8--25.1) |
Flathead County, Montana |
550 |
16.4 |
2.1 |
(12.2--20.5) |
Yellowstone County, Montana |
443 |
15.2 |
2.4 |
(10.4--19.9) |
Dakota County, Nebraska |
469 |
14.5 |
2.2 |
(10.1--18.8) |
Douglas County, Nebraska |
596 |
21.6 |
2.4 |
(16.8--26.3) |
Hall County, Nebraska |
372 |
15.4 |
2.3 |
(10.8--19.9) |
Lancaster County, Nebraska |
543 |
14.1 |
2.2 |
(9.7--18.4) |
Sarpy County, Nebraska |
381 |
15.8 |
3.1 |
(9.7--21.8) |
Clark County, Nevada |
1,337 |
15.7 |
1.2 |
(13.3--18.0) |
Washoe County, Nevada |
1,351 |
20.0 |
1.4 |
(17.2--22.7) |
Grafton County, New Hampshire |
503 |
14.0 |
2.4 |
(9.2--18.7) |
Hillsborough County, New Hampshire |
1,410 |
14.5 |
1.3 |
(11.9--17.0) |
Merrimack County, New Hampshire |
634 |
17.5 |
2.2 |
(13.1--21.8) |
Rockingham County, New Hampshire |
980 |
17.7 |
1.6 |
(14.5--20.8) |
Strafford County, New Hampshire |
614 |
15.5 |
2.0 |
(11.5--19.4) |
Bergen County, New Jersey |
376 |
14.9 |
3.1 |
(8.8--20.9) |
Burlington County, New Jersey |
339 |
7.4 |
2.0 |
(3.4--11.3) |
Camden County, New Jersey |
319 |
17.4 |
3.6 |
(10.3--24.4) |
Essex County, New Jersey |
523 |
12.0 |
2.5 |
(7.1--16.9) |
Gloucester County, New Jersey |
327 |
14.8 |
3.2 |
(8.5--21.0) |
Hudson County, New Jersey |
564 |
16.5 |
2.5 |
(11.6--21.4) |
Hunterdon County, New Jersey |
360 |
18.0 |
3.0 |
(12.1--23.8) |
Middlesex County, New Jersey |
374 |
8.6 |
1.9 |
(4.8--12.3) |
Monmouth County, New Jersey |
319 |
16.2 |
3.0 |
(10.3--22.0) |
Morris County, New Jersey |
414 |
15.8 |
2.8 |
(10.3--21.2) |
Ocean County, New Jersey |
323 |
11.7 |
2.3 |
(7.1--16.2) |
Passaic County, New Jersey |
275 |
14.9 |
3.0 |
(9.0--20.7) |
Somerset County, New Jersey |
357 |
11.9 |
2.5 |
(7.0--16.8) |
Sussex County, New Jersey |
330 |
12.9 |
2.5 |
(8.0--17.8) |
Union County, New Jersey |
307 |
17.8 |
3.6 |
(10.7--24.8) |
Warren County, New Jersey |
306 |
17.0 |
3.1 |
(10.9--23.0) |
Bernalillo County, New Mexico |
1,076 |
12.1 |
1.4 |
(9.3--14.8) |
Dona Ana County, New Mexico |
699 |
14.0 |
2.0 |
(10.0--17.9) |
Sandoval County, New Mexico |
501 |
13.7 |
2.7 |
(8.4--18.9) |
San Juan County, New Mexico |
678 |
13.2 |
1.8 |
(9.6--16.7) |
Santa Fe County, New Mexico |
507 |
10.5 |
1.8 |
(6.9--14.0) |
Valencia County, New Mexico |
309 |
10.0 |
2.3 |
(5.4--14.5) |
Erie County, New York |
400 |
14.3 |
2.1 |
(10.1--18.4) |
TABLE 33. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
405 |
11.0 |
1.8 |
(7.4--14.5) |
Nassau County, New York |
374 |
14.7 |
2.4 |
(9.9--19.4) |
New York County, New York |
549 |
23.1 |
2.7 |
(17.8--28.3) |
Queens County, New York |
422 |
9.6 |
1.9 |
(5.8--13.3) |
Suffolk County, New York |
426 |
18.9 |
3.0 |
(13.0--24.7) |
Westchester County, New York |
271 |
13.9 |
2.9 |
(8.2--19.5) |
Buncombe County, North Carolina |
351 |
8.2 |
2.0 |
(4.2--12.1) |
Cabarrus County, North Carolina |
357 |
15.1 |
3.2 |
(8.8--21.3) |
Catawba County, North Carolina |
403 |
10.7 |
2.4 |
(5.9--15.4) |
Cumberland County, North Carolina |
375 |
13.7 |
3.1 |
(7.6--19.7) |
Durham County, North Carolina |
326 |
11.3 |
2.3 |
(6.7--15.8) |
Gaston County, North Carolina |
388 |
12.5 |
2.3 |
(7.9--17.0) |
Guilford County, North Carolina |
378 |
16.7 |
3.4 |
(10.0--23.3) |
Henderson County, North Carolina |
294 |
8.2 |
2.6 |
(3.1--13.2) |
Johnston County, North Carolina |
435 |
12.5 |
3.0 |
(6.6--18.3) |
Mecklenburg County, North Carolina |
670 |
15.4 |
2.1 |
(11.2--19.5) |
New Hanover County, North Carolina |
384 |
15.6 |
3.0 |
(9.7--21.4) |
Orange County, North Carolina |
345 |
14.7 |
3.1 |
(8.6--20.7) |
Randolph County, North Carolina |
370 |
11.4 |
2.0 |
(7.4--15.3) |
Union County, North Carolina |
372 |
8.2 |
2.1 |
(4.0--12.3) |
Wake County, North Carolina |
603 |
13.1 |
2.0 |
(9.1--17.0) |
Burleigh County, North Dakota |
490 |
18.8 |
2.6 |
(13.7--23.8) |
Cass County, North Dakota |
667 |
24.1 |
2.4 |
(19.3--28.8) |
Cuyahoga County, Ohio |
755 |
19.6 |
2.1 |
(15.4--23.7) |
Franklin County, Ohio |
752 |
18.1 |
2.2 |
(13.7--22.4) |
Hamilton County, Ohio |
813 |
18.2 |
2.2 |
(13.8--22.5) |
Licking County, Ohio |
249 |
17.2 |
3.7 |
(9.9--24.4) |
Lucas County, Ohio |
775 |
17.7 |
2.0 |
(13.7--21.6) |
Mahoning County, Ohio |
810 |
18.3 |
2.3 |
(13.7--22.8) |
Montgomery County, Ohio |
741 |
16.6 |
2.0 |
(12.6--20.5) |
Stark County, Ohio |
784 |
14.6 |
1.8 |
(11.0--18.1) |
Summit County, Ohio |
743 |
20.0 |
2.1 |
(15.8--24.1) |
Canadian County, Oklahoma |
245 |
13.4 |
2.7 |
(8.1--18.6) |
Cleveland County, Oklahoma |
408 |
16.1 |
2.4 |
(11.3--20.8) |
Oklahoma County, Oklahoma |
1,264 |
13.0 |
1.3 |
(10.4--15.5) |
Tulsa County, Oklahoma |
1,489 |
16.3 |
1.5 |
(13.3--19.2) |
Clackamas County, Oregon |
477 |
17.8 |
2.4 |
(13.0--22.5) |
Multnomah County, Oregon |
804 |
17.4 |
1.8 |
(13.8--20.9) |
Washington County, Oregon |
551 |
12.4 |
1.9 |
(8.6--16.1) |
Allegheny County, Pennsylvania |
629 |
18.0 |
2.3 |
(13.4--22.5) |
Delaware County, Pennsylvania |
271 |
20.1 |
3.2 |
(13.8--26.3) |
Fayette County, Pennsylvania |
1,611 |
18.2 |
1.6 |
(15.0--21.3) |
Luzerne County, Pennsylvania |
2,289 |
20.3 |
2.3 |
(15.7--24.8) |
Montgomery County, Pennsylvania |
334 |
15.4 |
2.7 |
(10.1--20.6) |
Philadelphia County, Pennsylvania |
1,776 |
13.3 |
1.9 |
(9.5--17.0) |
Westmoreland County, Pennsylvania |
286 |
18.4 |
3.7 |
(11.1--25.6) |
Kent County, Rhode Island |
644 |
20.4 |
2.3 |
(15.8--24.9) |
Newport County, Rhode Island |
360 |
19.8 |
3.1 |
(13.7--25.8) |
Providence County, Rhode Island |
2,697 |
16.9 |
1.2 |
(14.5--19.2) |
Washington County, Rhode Island |
511 |
19.5 |
2.7 |
(14.2--24.7) |
Aiken County, South Carolina |
679 |
14.9 |
1.8 |
(11.3--18.4) |
Beaufort County, South Carolina |
834 |
18.7 |
2.2 |
(14.3--23.0) |
Berkeley County, South Carolina |
319 |
21.7 |
3.3 |
(15.2--28.1) |
Charleston County, South Carolina |
678 |
19.5 |
2.3 |
(14.9--24.0) |
Dorchester County, South Carolina |
249 |
19.0 |
3.5 |
(12.1--25.8) |
Greenville County, South Carolina |
548 |
12.4 |
2.4 |
(7.6--17.1) |
Horry County, South Carolina |
897 |
15.6 |
1.8 |
(12.0--19.1) |
Lexington County, South Carolina |
325 |
15.7 |
2.5 |
(10.8--20.6) |
Richland County, South Carolina |
431 |
17.7 |
2.5 |
(12.8--22.6) |
York County, South Carolina |
276 |
14.9 |
2.8 |
(9.4--20.3) |
Minnehaha County, South Dakota |
717 |
17.5 |
1.8 |
(13.9--21.0) |
Pennington County, South Dakota |
756 |
19.0 |
2.2 |
(14.6--23.3) |
Davidson County, Tennessee |
272 |
14.2 |
3.1 |
(8.1--20.2) |
TABLE 33. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
660 |
9.1 |
1.7 |
(5.7--12.4) |
Shelby County, Tennessee |
287 |
11.8 |
2.8 |
(6.3--17.2) |
Sullivan County, Tennessee |
408 |
8.4 |
2.1 |
(4.2--12.5) |
Bexar County, Texas |
1,044 |
17.5 |
1.8 |
(13.9--21.0) |
Cameron County, Texas |
612 |
14.7 |
2.1 |
(10.5--18.8) |
Collin County, Texas |
255 |
12.4 |
2.9 |
(6.7--18.0) |
Dallas County, Texas |
835 |
17.2 |
2.0 |
(13.2--21.1) |
Denton County, Texas |
256 |
19.7 |
3.4 |
(13.0--26.3) |
El Paso County, Texas |
1,481 |
16.2 |
1.5 |
(13.2--19.1) |
Harris County, Texas |
954 |
15.8 |
1.8 |
(12.2--19.3) |
Hidalgo County, Texas |
939 |
14.1 |
2.0 |
(10.1--18.0) |
Tarrant County, Texas |
1,128 |
15.2 |
1.6 |
(12.0--18.3) |
Travis County, Texas |
780 |
21.9 |
2.2 |
(17.5--26.2) |
Webb County, Texas |
504 |
18.0 |
2.7 |
(12.7--23.2) |
Williamson County, Texas |
358 |
16.0 |
2.6 |
(10.9--21.0) |
Davis County, Utah |
419 |
6.4 |
1.8 |
(2.8--9.9) |
Salt Lake County, Utah |
1,632 |
13.6 |
1.2 |
(11.2--15.9) |
Tooele County, Utah |
248 |
13.7 |
3.3 |
(7.2--20.1) |
Utah County, Utah |
548 |
4.3 |
1.3 |
(1.7--6.8) |
Weber County, Utah |
402 |
11.5 |
1.9 |
(7.7--15.2) |
Chittenden County, Vermont |
1,407 |
19.4 |
1.8 |
(15.8--22.9) |
Franklin County, Vermont |
463 |
21.0 |
2.7 |
(15.7--26.2) |
Orange County, Vermont |
365 |
16.5 |
2.8 |
(11.0--21.9) |
Rutland County, Vermont |
679 |
15.0 |
1.8 |
(11.4--18.5) |
Washington County, Vermont |
688 |
17.7 |
2.1 |
(13.5--21.8) |
Windsor County, Vermont |
717 |
12.7 |
1.6 |
(9.5--15.8) |
Arlington County, Virginia |
294 |
25.6 |
4.1 |
(17.5--33.6) |
Fairfax County, Virginia |
248 |
17.7 |
3.9 |
(10.0--25.3) |
Prince William County, Virginia |
277 |
15.3 |
3.2 |
(9.0--21.5) |
Alexandria city, Virginia |
257 |
23.5 |
4.2 |
(15.2--31.7) |
Benton County, Washington |
447 |
16.3 |
2.5 |
(11.4--21.2) |
Chelan County, Washington |
535 |
14.0 |
2.1 |
(9.8--18.1) |
Clark County, Washington |
1,663 |
15.8 |
1.4 |
(13.0--18.5) |
Douglas County, Washington |
526 |
14.3 |
2.2 |
(9.9--18.6) |
King County, Washington |
4,329 |
17.3 |
0.9 |
(15.5--19.0) |
Kitsap County, Washington |
981 |
15.2 |
1.5 |
(12.2--18.1) |
Pierce County, Washington |
1,863 |
14.3 |
1.2 |
(11.9--16.6) |
Snohomish County, Washington |
2,692 |
16.6 |
1.0 |
(14.6--18.5) |
Spokane County, Washington |
1,349 |
16.3 |
1.5 |
(13.3--19.2) |
Thurston County, Washington |
1,835 |
17.2 |
1.3 |
(14.6--19.7) |
Whatcom County, Washington |
1,137 |
15.1 |
1.5 |
(12.1--18.0) |
Yakima County, Washington |
741 |
13.7 |
1.8 |
(10.1--17.2) |
Kanawha County, West Virginia |
501 |
8.3 |
1.7 |
(4.9--11.6) |
Milwaukee County, Wisconsin |
1,150 |
20.7 |
2.6 |
(15.6--25.7) |
Fremont County, Wyoming |
498 |
16.7 |
2.3 |
(12.1--21.2) |
Laramie County, Wyoming |
899 |
15.3 |
1.8 |
(11.7--18.8) |
Natrona County, Wyoming |
748 |
15.0 |
1.8 |
(11.4--18.5) |
Median |
15.6 |
|||
Range |
4.3--25.6 |
|||
* For males: having at least five drinks on at least one occasion, for females: having at least four drinks on at least one occasion. † Standard error. § Confidence interval. |
TABLE 35. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Grand Island, Nebraska |
548 |
3.3 |
0.9 |
(1.5--5.0) |
Grand Rapids-Wyoming, Michigan |
495 |
6.6 |
1.5 |
(3.6--9.5) |
Greeley, Colorado |
512 |
5.8 |
1.5 |
(2.8--8.7) |
Greensboro-High Point, North Carolina |
818 |
6.7 |
1.6 |
(3.5--9.8) |
Greenville, South Carolina |
864 |
4.8 |
1.3 |
(2.2--7.3) |
Gulfport-Biloxi, Mississippi |
487 |
4.1 |
1.2 |
(1.7--6.4) |
Hagerstown-Martinsburg, Maryland-West Virginia |
708 |
4.2 |
1.2 |
(1.8--6.5) |
Hartford-West Hartford-East Hartford, Connecticut |
2,311 |
6.1 |
0.8 |
(4.5--7.6) |
Hickory-Morganton-Lenoir, North Carolina |
857 |
2.2 |
0.5 |
(1.2--3.1) |
Hilo, Hawaii |
1,500 |
8.4 |
1.0 |
(6.4--10.3) |
Hilton Head Island-Beaufort, South Carolina |
913 |
8.5 |
1.5 |
(5.5--11.4) |
Homosassa Springs, Florida |
558 |
7.0 |
1.4 |
(4.2--9.7) |
Honolulu, Hawaii |
2,876 |
7.2 |
0.7 |
(5.8--8.5) |
Houston-Sugar Land-Baytown, Texas |
1,497 |
5.0 |
0.8 |
(3.4--6.5) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
582 |
4.7 |
1.7 |
(1.3--8.0) |
Idaho Falls, Idaho |
503 |
2.1 |
0.7 |
(0.7--3.4) |
Indianapolis-Carmel, Indiana |
1,533 |
3.4 |
0.6 |
(2.2--4.5) |
Jackson, Mississippi |
1,145 |
4.4 |
0.8 |
(2.8--5.9) |
Jacksonville, Florida |
3,833 |
7.9 |
0.7 |
(6.5--9.2) |
Kahului-Wailuku, Hawaii |
1,497 |
8.8 |
1.0 |
(6.8--10.7) |
Kalispell, Montana |
544 |
4.7 |
1.0 |
(2.7--6.6) |
Kansas City, Missouri-Kansas |
3,296 |
5.1 |
0.6 |
(3.9--6.2) |
Kapaa, Hawaii |
641 |
9.1 |
1.5 |
(6.1--12.0) |
Kennewick-Richland-Pasco, Washington |
669 |
5.7 |
1.1 |
(3.5--7.8) |
Key West-Marathon, Florida |
479 |
11.0 |
1.7 |
(7.6--14.3) |
Kingsport-Bristol, Tennessee-Virginia |
572 |
3.7 |
1.6 |
(0.5--6.8) |
Lake Charles, Louisiana |
520 |
3.6 |
0.9 |
(1.8--5.3) |
Lake City, Florida |
560 |
5.8 |
1.7 |
(2.4--9.1) |
Lakeland-Winter Haven, Florida |
500 |
6.8 |
1.4 |
(4.0--9.5) |
Laredo, Texas |
500 |
3.2 |
1.0 |
(1.2--5.1) |
Las Cruces, New Mexico |
694 |
5.9 |
1.4 |
(3.1--8.6) |
Las Vegas-Paradise, Nevada |
1,313 |
6.2 |
0.8 |
(4.6--7.7) |
Lebanon, New Hampshire-Vermont |
1,577 |
6.9 |
1.0 |
(4.9--8.8) |
Lewiston, Idaho-Washington |
508 |
6.1 |
1.3 |
(3.5--8.6) |
Lincoln, Nebraska |
697 |
3.4 |
0.7 |
(2.0--4.7) |
Little Rock-North Little Rock, Arkansas |
1,222 |
5.8 |
1.0 |
(3.8--7.7) |
Los Angeles-Long Beach-Glendale, California¶ |
829 |
3.9 |
0.8 |
(2.3--5.4) |
Louisville, Kentucky-Indiana |
817 |
3.1 |
0.7 |
(1.7--4.4) |
Manchester-Nashua, New Hampshire |
1,403 |
6.0 |
0.8 |
(4.4--7.5) |
McAllen-Edinburg-Mission, Texas |
923 |
8.6 |
1.7 |
(5.2--11.9) |
Memphis, Tennessee-Mississippi-Arkansas |
954 |
3.9 |
1.1 |
(1.7--6.0) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,107 |
4.2 |
0.9 |
(2.4--5.9) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,484 |
5.3 |
1.0 |
(3.3--7.2) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,725 |
3.9 |
0.5 |
(2.9--4.8) |
Mobile, Alabama |
553 |
4.9 |
1.5 |
(1.9--7.8) |
Montgomery, Alabama |
502 |
4.0 |
1.5 |
(1.0--6.9) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
883 |
6.0 |
1.0 |
(4.0--7.9) |
Naples-Marco Island, Florida |
772 |
8.5 |
1.2 |
(6.1--10.8) |
Nashville-Davidson-Murfreesboro, Tennessee |
575 |
3.2 |
1.0 |
(1.2--5.1) |
Nassau-Suffolk, New York¶ |
794 |
5.1 |
1.2 |
(2.7--7.4) |
Newark-Union, New Jersey-Pennsylvania¶ |
1,948 |
4.4 |
0.7 |
(3.0--5.7) |
New Haven-Milford, Connecticut |
1,746 |
6.2 |
1.1 |
(4.0--8.3) |
New Orleans-Metairie-Kenner, Louisiana |
1,191 |
5.8 |
0.9 |
(4.0--7.5) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,298 |
3.8 |
0.5 |
(2.8--4.7) |
Nogales, Arizona |
507 |
3.5 |
1.0 |
(1.5--5.4) |
Norwich-New London, Connecticut |
483 |
4.9 |
1.2 |
(2.5--7.2) |
Ocala, Florida |
608 |
6.9 |
1.9 |
(3.1--10.6) |
Ogden-Clearfield, Utah |
836 |
2.5 |
0.6 |
(1.3--3.6) |
Okeechobee, Florida |
694 |
4.0 |
0.8 |
(2.4--5.5) |
Oklahoma City, Oklahoma |
2,235 |
3.7 |
0.5 |
(2.7--4.6) |
Olympia, Washington |
1,835 |
5.3 |
0.7 |
(3.9--6.6) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,520 |
5.7 |
1.0 |
(3.7--7.6) |
Orlando-Kissimmee, Florida |
2,582 |
4.9 |
0.7 |
(3.5--6.2) |
Palm Bay-Melbourne-Titusville, Florida |
534 |
9.1 |
2.2 |
(4.7--13.4) |
TABLE 35. (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 (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Palm Coast, Florida |
513 |
10.2 |
1.9 |
(6.4--13.9) |
Panama City-Lynn Haven, Florida |
524 |
6.9 |
1.3 |
(4.3--9.4) |
Pensacola-Ferry Pass-Brent, Florida |
1,000 |
6.1 |
1.0 |
(4.1--8.0) |
Philadelphia, Pennsylvania¶ |
2,786 |
4.8 |
0.7 |
(3.4--6.1) |
Phoenix-Mesa-Scottsdale, Arizona |
1,250 |
5.7 |
1.1 |
(3.5--7.8) |
Pittsburgh, Pennsylvania |
2,891 |
5.8 |
1.0 |
(3.8--7.7) |
Portland-South Portland-Biddeford, Maine |
2,036 |
7.2 |
0.9 |
(5.4--8.9) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,901 |
6.3 |
0.7 |
(4.9--7.6) |
Port St. Lucie-Fort Pierce, Florida |
1,029 |
6.6 |
0.9 |
(4.8--8.3) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
7,931 |
6.3 |
0.5 |
(5.3--7.2) |
Provo-Orem, Utah |
578 |
N/A** |
N/A |
N/A |
Raleigh-Cary, North Carolina |
1,082 |
2.8 |
0.7 |
(1.4--4.1) |
Rapid City, South Dakota |
951 |
4.9 |
1.2 |
(2.5--7.2) |
Reno-Sparks, Nevada |
1,368 |
9.4 |
1.0 |
(7.4--11.3) |
Richmond, Virginia |
832 |
5.8 |
1.2 |
(3.4--8.1) |
Riverside-San Bernardino-Ontario, California |
658 |
8.4 |
1.5 |
(5.4--11.3) |
Riverton, Wyoming |
492 |
5.2 |
1.2 |
(2.8--7.5) |
Rockingham County-Strafford County, New Hampshire¶ |
1,582 |
5.4 |
0.7 |
(4.0--6.7) |
Rutland, Vermont |
673 |
5.5 |
1.1 |
(3.3--7.6) |
St. Louis, Missouri-Illinois |
1,537 |
5.0 |
0.9 |
(3.2--6.7) |
Salt Lake City, Utah |
2,100 |
3.4 |
0.5 |
(2.4--4.3) |
San Antonio, Texas |
1,369 |
4.9 |
0.8 |
(3.3--6.4) |
San Diego-Carlsbad-San Marcos, California |
500 |
6.1 |
1.4 |
(3.3--8.8) |
San Francisco-Oakland-Fremont, California |
756 |
7.8 |
1.2 |
(5.4--10.1) |
Santa Fe, New Mexico |
502 |
4.6 |
1.2 |
(2.2--6.9) |
Sarasota-Bradenton-Venice, Florida |
1,262 |
7.1 |
1.0 |
(5.1--9.0) |
Scranton-Wilkes-Barre, Pennsylvania |
2,453 |
5.0 |
1.2 |
(2.6--7.3) |
Seaford, Delaware |
1,219 |
5.5 |
0.9 |
(3.7--7.2) |
Seattle-Bellevue-Everett, Washington¶ |
6,985 |
6.9 |
0.5 |
(5.9--7.8) |
Sebring, Florida |
724 |
6.1 |
1.4 |
(3.3--8.8) |
Sioux City, Iowa-Nebraska-South Dakota |
871 |
4.8 |
1.3 |
(2.2--7.3) |
Sioux Falls, South Dakota |
951 |
3.7 |
0.8 |
(2.1--5.2) |
Spokane, Washington |
1,341 |
5.4 |
0.9 |
(3.6--7.1) |
Springfield, Massachusetts |
2,528 |
6.2 |
0.8 |
(4.6--7.7) |
Tacoma, Washington¶ |
1,860 |
4.6 |
0.6 |
(3.4--5.7) |
Tallahassee, Florida |
2,014 |
4.2 |
0.6 |
(3.0--5.3) |
Tampa-St. Petersburg-Clearwater, Florida |
2,092 |
7.4 |
1.1 |
(5.2--9.5) |
Toledo, Ohio |
965 |
7.5 |
1.9 |
(3.7--11.2) |
Topeka, Kansas |
771 |
4.1 |
0.9 |
(2.3--5.8) |
Tucson, Arizona |
730 |
5.7 |
1.0 |
(3.7--7.6) |
Tulsa, Oklahoma |
2,058 |
3.7 |
0.6 |
(2.5--4.8) |
Tuscaloosa, Alabama |
528 |
3.2 |
1.0 |
(1.2--5.1) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,128 |
4.7 |
0.9 |
(2.9--6.4) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,452 |
6.9 |
1.0 |
(4.9--8.8) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,619 |
6.3 |
0.9 |
(4.5--8.0) |
Wauchula, Florida |
669 |
2.1 |
0.7 |
(0.7--3.4) |
Wenatchee, Washington |
1,057 |
6.9 |
1.1 |
(4.7--9.0) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
509 |
6.1 |
1.6 |
(2.9--9.2) |
Wichita, Kansas |
1,529 |
2.8 |
0.4 |
(2.0--3.5) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,739 |
7.5 |
1.3 |
(4.9--10.0) |
Wilmington, North Carolina |
601 |
6.1 |
1.7 |
(2.7--9.4) |
Worcester, Massachusetts |
2,678 |
6.5 |
0.8 |
(4.9--8.0) |
Yakima, Washington |
744 |
3.5 |
0.8 |
(1.9--5.0) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,016 |
5.8 |
1.2 |
(3.4--8.1) |
Yuma, Arizona |
537 |
5.3 |
1.0 |
(3.3--7.2) |
Median |
5.3 |
|||
Range |
2.1--11.0 |
|||
* For adult men: having more than two drinks per day, for adult women: having more than one drink per day. † Standard error. § Confidence interval. ¶ Metropolitan division. ** Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 36. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
608 |
6.9 |
1.9 |
(3.1--10.6) |
Martin County, Florida |
520 |
9.3 |
1.5 |
(6.3--12.2) |
Miami-Dade County, Florida |
581 |
6.2 |
1.7 |
(2.8--9.5) |
Monroe County, Florida |
479 |
11.0 |
1.7 |
(7.6--14.3) |
Nassau County, Florida |
528 |
7.3 |
1.4 |
(4.5--10.0) |
Okeechobee County, Florida |
694 |
4.0 |
0.8 |
(2.4--5.5) |
Orange County, Florida |
792 |
3.5 |
0.8 |
(1.9--5.0) |
Osceola County, Florida |
690 |
3.5 |
0.8 |
(1.9--5.0) |
Palm Beach County, Florida |
509 |
6.1 |
1.6 |
(2.9--9.2) |
Pasco County, Florida |
532 |
7.0 |
1.5 |
(4.0--9.9) |
Pinellas County, Florida |
517 |
6.1 |
1.4 |
(3.3--8.8) |
Polk County, Florida |
500 |
6.8 |
1.4 |
(4.0--9.5) |
St. Johns County, Florida |
538 |
11.6 |
1.9 |
(7.8--15.3) |
St. Lucie County, Florida |
509 |
5.3 |
1.1 |
(3.1--7.4) |
Santa Rosa County, Florida |
485 |
7.3 |
1.7 |
(3.9--10.6) |
Sarasota County, Florida |
785 |
7.4 |
1.3 |
(4.8--9.9) |
Seminole County, Florida |
513 |
6.2 |
1.4 |
(3.4--8.9) |
Volusia County, Florida |
492 |
5.0 |
1.6 |
(1.8--8.1) |
Wakulla County, Florida |
531 |
5.8 |
1.1 |
(3.6--7.9) |
Clayton County, Georgia |
334 |
3.7 |
1.3 |
(1.1--6.2) |
Cobb County, Georgia |
407 |
4.1 |
1.3 |
(1.5--6.6) |
DeKalb County, Georgia |
417 |
2.4 |
0.8 |
(0.8--3.9) |
Fulton County, Georgia |
399 |
5.5 |
1.4 |
(2.7--8.2) |
Gwinnett County, Georgia |
311 |
10.2 |
3.0 |
(4.3--16.0) |
Hawaii County, Hawaii |
1,500 |
8.4 |
1.0 |
(6.4--10.3) |
Honolulu County, Hawaii |
2,876 |
7.2 |
0.7 |
(5.8--8.5) |
Kauai County, Hawaii |
641 |
9.1 |
1.5 |
(6.1--12.0) |
Maui County, Hawaii |
1,497 |
8.8 |
1.0 |
(6.8--10.7) |
Ada County, Idaho |
630 |
5.6 |
1.3 |
(3.0--8.1) |
Bonneville County, Idaho |
388 |
2.0 |
0.8 |
(0.4--3.5) |
Canyon County, Idaho |
475 |
5.0 |
1.2 |
(2.6--7.3) |
Nez Perce County, Idaho |
268 |
6.7 |
1.7 |
(3.3--10.0) |
Cook County, Illinois |
1,631 |
5.5 |
0.8 |
(3.9--7.0) |
DuPage County, Illinois |
377 |
6.3 |
2.0 |
(2.3--10.2) |
Lake County, Illinois |
293 |
7.0 |
2.0 |
(3.0--10.9) |
Lake County, Indiana |
556 |
6.7 |
2.1 |
(2.5--10.8) |
Marion County, Indiana |
1,091 |
3.8 |
0.7 |
(2.4--5.1) |
Polk County, Iowa |
715 |
4.5 |
0.8 |
(2.9--6.0) |
Johnson County, Kansas |
1,514 |
4.9 |
0.9 |
(3.1--6.6) |
Sedgwick County, Kansas |
1,147 |
2.8 |
0.5 |
(1.8--3.7) |
Shawnee County, Kansas |
543 |
3.7 |
1.1 |
(1.5--5.8) |
Wyandotte County, Kansas |
342 |
3.7 |
1.2 |
(1.3--6.0) |
Jefferson County, Kentucky |
443 |
3.9 |
1.1 |
(1.7--6.0) |
Calcasieu Parish, Louisiana |
500 |
3.3 |
0.9 |
(1.5--5.0) |
East Baton Rouge Parish, Louisiana |
484 |
4.9 |
1.3 |
(2.3--7.4) |
Jefferson Parish, Louisiana |
405 |
5.9 |
1.4 |
(3.1--8.6) |
Orleans Parish, Louisiana |
276 |
4.9 |
2.0 |
(0.9--8.8) |
St. Tammany Parish, Louisiana |
326 |
7.0 |
1.9 |
(3.2--10.7) |
Cumberland County, Maine |
1,055 |
7.2 |
1.0 |
(5.2--9.1) |
Kennebec County, Maine |
537 |
5.2 |
1.0 |
(3.2--7.1) |
Penobscot County, Maine |
650 |
6.6 |
1.4 |
(3.8--9.3) |
Sagadahoc County, Maine |
273 |
4.6 |
1.5 |
(1.6--7.5) |
York County, Maine |
708 |
7.3 |
1.6 |
(4.1--10.4) |
Anne Arundel County, Maryland |
537 |
4.9 |
1.1 |
(2.7--7.0) |
Baltimore County, Maryland |
956 |
4.0 |
0.8 |
(2.4--5.5) |
Charles County, Maryland |
291 |
6.0 |
1.7 |
(2.6--9.3) |
Frederick County, Maryland |
534 |
6.6 |
1.6 |
(3.4--9.7) |
Harford County, Maryland |
297 |
3.2 |
1.3 |
(0.6--5.7) |
Howard County, Maryland |
334 |
5.5 |
1.5 |
(2.5--8.4) |
Montgomery County, Maryland |
1,071 |
3.7 |
0.7 |
(2.3--5.0) |
Prince George´s County, Maryland |
635 |
3.3 |
0.7 |
(1.9--4.6) |
Queen Anne´s County, Maryland |
247 |
6.9 |
2.1 |
(2.7--11.0) |
Washington County, Maryland |
440 |
4.4 |
1.1 |
(2.2--6.5) |
TABLE 36. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
481 |
5.4 |
1.1 |
(3.2--7.5) |
Barnstable County, Massachusetts |
566 |
8.0 |
1.3 |
(5.4--10.5) |
Bristol County, Massachusetts |
3,558 |
4.7 |
0.7 |
(3.3--6.0) |
Essex County, Massachusetts |
2,874 |
5.6 |
0.8 |
(4.0--7.1) |
Hampden County, Massachusetts |
1,965 |
6.1 |
0.9 |
(4.3--7.8) |
Hampshire County, Massachusetts |
359 |
5.1 |
1.7 |
(1.7--8.4) |
Middlesex County, Massachusetts |
3,840 |
6.9 |
0.7 |
(5.5--8.2) |
Norfolk County, Massachusetts |
1,227 |
5.1 |
0.8 |
(3.5--6.6) |
Plymouth County, Massachusetts |
825 |
6.9 |
1.2 |
(4.5--9.2) |
Suffolk County, Massachusetts |
2,332 |
5.4 |
0.8 |
(3.8--6.9) |
Worcester County, Massachusetts |
2,678 |
6.5 |
0.8 |
(4.9--8.0) |
Kent County, Michigan |
371 |
6.4 |
1.7 |
(3.0--9.7) |
Macomb County, Michigan |
398 |
7.4 |
1.7 |
(4.0--10.7) |
Oakland County, Michigan |
759 |
5.4 |
1.3 |
(2.8--7.9) |
Wayne County, Michigan |
1,597 |
5.9 |
1.0 |
(3.9--7.8) |
Anoka County, Minnesota |
269 |
2.6 |
1.2 |
(0.2--4.9) |
Dakota County, Minnesota |
345 |
3.3 |
1.5 |
(0.3--6.2) |
Hennepin County, Minnesota |
938 |
4.0 |
0.7 |
(2.6--5.3) |
Ramsey County, Minnesota |
409 |
4.4 |
1.1 |
(2.2--6.5) |
DeSoto County, Mississippi |
256 |
N/A |
N/A |
N/A |
Harrison County, Mississippi |
369 |
2.9 |
1.0 |
(0.9--4.8) |
Hinds County, Mississippi |
516 |
3.1 |
0.9 |
(1.3--4.8) |
Rankin County, Mississippi |
290 |
4.2 |
1.4 |
(1.4--6.9) |
Jackson County, Missouri |
489 |
5.6 |
1.1 |
(3.4--7.7) |
St. Louis County, Missouri |
448 |
4.0 |
1.2 |
(1.6--6.3) |
St. Louis City, Missouri |
459 |
5.7 |
1.6 |
(2.5--8.8) |
Flathead County, Montana |
544 |
4.7 |
1.0 |
(2.7--6.6) |
Yellowstone County, Montana |
438 |
5.7 |
1.4 |
(2.9--8.4) |
Dakota County, Nebraska |
466 |
3.5 |
1.0 |
(1.5--5.4) |
Douglas County, Nebraska |
588 |
5.0 |
1.1 |
(2.8--7.1) |
Hall County, Nebraska |
364 |
2.4 |
1.0 |
(0.4--4.3) |
Lancaster County, Nebraska |
539 |
3.3 |
0.7 |
(1.9--4.6) |
Sarpy County, Nebraska |
378 |
5.7 |
2.5 |
(0.8--10.6) |
Clark County, Nevada |
1,313 |
6.2 |
0.8 |
(4.6--7.7) |
Washoe County, Nevada |
1,346 |
9.4 |
1.0 |
(7.4--11.3) |
Grafton County, New Hampshire |
504 |
5.2 |
1.2 |
(2.8--7.5) |
Hillsborough County, New Hampshire |
1,403 |
6.0 |
0.8 |
(4.4--7.5) |
Merrimack County, New Hampshire |
625 |
5.0 |
1.3 |
(2.4--7.5) |
Rockingham County, New Hampshire |
971 |
5.4 |
0.8 |
(3.8--6.9) |
Strafford County, New Hampshire |
611 |
5.3 |
1.1 |
(3.1--7.4) |
Bergen County, New Jersey |
372 |
2.3 |
0.9 |
(0.5--4.0) |
Burlington County, New Jersey |
335 |
1.5 |
0.7 |
(0.1--2.8) |
Camden County, New Jersey |
315 |
8.7 |
3.2 |
(2.4--14.9) |
Essex County, New Jersey |
520 |
3.4 |
1.0 |
(1.4--5.3) |
Gloucester County, New Jersey |
324 |
N/A |
N/A |
N/A |
Hudson County, New Jersey |
562 |
2.8 |
0.8 |
(1.2--4.3) |
Hunterdon County, New Jersey |
357 |
5.9 |
1.6 |
(2.7--9.0) |
Middlesex County, New Jersey |
372 |
3.3 |
1.1 |
(1.1--5.4) |
Monmouth County, New Jersey |
310 |
5.5 |
1.6 |
(2.3--8.6) |
Morris County, New Jersey |
410 |
5.7 |
1.5 |
(2.7--8.6) |
Ocean County, New Jersey |
320 |
7.3 |
2.3 |
(2.7--11.8) |
Passaic County, New Jersey |
274 |
4.8 |
1.8 |
(1.2--8.3) |
Somerset County, New Jersey |
355 |
4.2 |
1.6 |
(1.0--7.3) |
Sussex County, New Jersey |
326 |
4.8 |
1.4 |
(2.0--7.5) |
Union County, New Jersey |
302 |
4.2 |
1.2 |
(1.8--6.5) |
Warren County, New Jersey |
299 |
6.1 |
2.1 |
(1.9--10.2) |
Bernalillo County, New Mexico |
1,072 |
3.8 |
0.6 |
(2.6--4.9) |
Dona Ana County, New Mexico |
694 |
5.9 |
1.4 |
(3.1--8.6) |
Sandoval County, New Mexico |
499 |
4.8 |
1.6 |
(1.6--7.9) |
San Juan County, New Mexico |
671 |
3.0 |
0.8 |
(1.4--4.5) |
Santa Fe County, New Mexico |
502 |
4.6 |
1.2 |
(2.2--6.9) |
Valencia County, New Mexico |
308 |
2.5 |
1.2 |
(0.1--4.8) |
Erie County, New York |
395 |
5.5 |
1.2 |
(3.1--7.8) |
TABLE 36. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
403 |
3.6 |
1.0 |
(1.6--5.5) |
Nassau County, New York |
367 |
4.2 |
1.3 |
(1.6--6.7) |
New York County, New York |
548 |
7.8 |
1.6 |
(4.6--10.9) |
Queens County, New York |
418 |
1.6 |
0.6 |
(0.4--2.7) |
Suffolk County, New York |
427 |
5.2 |
1.5 |
(2.2--8.1) |
Westchester County, New York |
265 |
4.3 |
1.2 |
(1.9--6.6) |
Buncombe County, North Carolina |
351 |
3.2 |
1.2 |
(0.8--5.5) |
Cabarrus County, North Carolina |
355 |
3.1 |
1.3 |
(0.5--5.6) |
Catawba County, North Carolina |
402 |
3.0 |
1.0 |
(1.0--4.9) |
Cumberland County, North Carolina |
371 |
2.4 |
1.0 |
(0.4--4.3) |
Durham County, North Carolina |
325 |
5.7 |
1.4 |
(2.9--8.4) |
Gaston County, North Carolina |
384 |
3.0 |
1.2 |
(0.6--5.3) |
Guilford County, North Carolina |
378 |
6.1 |
1.8 |
(2.5--9.6) |
Henderson County, North Carolina |
291 |
2.5 |
0.7 |
(1.1--3.8) |
Johnston County, North Carolina |
434 |
2.0 |
0.8 |
(0.4--3.5) |
Mecklenburg County, North Carolina |
667 |
4.8 |
1.1 |
(2.6--6.9) |
New Hanover County, North Carolina |
382 |
7.8 |
2.6 |
(2.7--12.8) |
Orange County, North Carolina |
341 |
5.1 |
2.0 |
(1.1--9.0) |
Randolph County, North Carolina |
371 |
5.4 |
1.3 |
(2.8--7.9) |
Union County, North Carolina |
373 |
4.1 |
1.9 |
(0.3--7.8) |
Wake County, North Carolina |
602 |
2.7 |
0.8 |
(1.1--4.2) |
Burleigh County, North Dakota |
490 |
4.1 |
1.1 |
(1.9--6.2) |
Cass County, North Dakota |
665 |
5.2 |
1.2 |
(2.8--7.5) |
Cuyahoga County, Ohio |
740 |
6.1 |
1.0 |
(4.1--8.0) |
Franklin County, Ohio |
738 |
6.9 |
1.7 |
(3.5--10.2) |
Hamilton County, Ohio |
810 |
5.5 |
1.0 |
(3.5--7.4) |
Licking County, Ohio |
244 |
6.1 |
2.3 |
(1.5--10.6) |
Lucas County, Ohio |
763 |
5.1 |
1.0 |
(3.1--7.0) |
Mahoning County, Ohio |
796 |
6.0 |
1.4 |
(3.2--8.7) |
Montgomery County, Ohio |
735 |
6.4 |
1.3 |
(3.8--8.9) |
Stark County, Ohio |
780 |
4.3 |
0.9 |
(2.5--6.0) |
Summit County, Ohio |
736 |
5.7 |
1.4 |
(2.9--8.4) |
Canadian County, Oklahoma |
241 |
N/A |
N/A |
N/A |
Cleveland County, Oklahoma |
404 |
4.7 |
1.2 |
(2.3--7.0) |
Oklahoma County, Oklahoma |
1,255 |
3.4 |
0.7 |
(2.0--4.7) |
Tulsa County, Oklahoma |
1,479 |
4.0 |
0.7 |
(2.6--5.3) |
Clackamas County, Oregon |
477 |
5.5 |
1.4 |
(2.7--8.2) |
Multnomah County, Oregon |
808 |
7.6 |
1.2 |
(5.2--9.9) |
Washington County, Oregon |
547 |
5.3 |
1.1 |
(3.1--7.4) |
Allegheny County, Pennsylvania |
623 |
6.4 |
1.7 |
(3.0--9.7) |
Delaware County, Pennsylvania |
270 |
6.1 |
1.7 |
(2.7--9.4) |
Fayette County, Pennsylvania |
1,595 |
5.6 |
1.0 |
(3.6--7.5) |
Luzerne County, Pennsylvania |
2,267 |
6.9 |
1.8 |
(3.3--10.4) |
Montgomery County, Pennsylvania |
328 |
5.7 |
1.7 |
(2.3--9.0) |
Philadelphia County, Pennsylvania |
1,752 |
3.7 |
1.2 |
(1.3--6.0) |
Westmoreland County, Pennsylvania |
285 |
8.1 |
2.5 |
(3.2--13.0) |
Kent County, Rhode Island |
641 |
9.4 |
1.8 |
(5.8--12.9) |
Newport County, Rhode Island |
352 |
8.9 |
1.9 |
(5.1--12.6) |
Providence County, Rhode Island |
2,665 |
5.0 |
0.6 |
(3.8--6.1) |
Washington County, Rhode Island |
508 |
8.7 |
1.9 |
(4.9--12.4) |
Aiken County, South Carolina |
671 |
5.7 |
1.2 |
(3.3--8.0) |
Beaufort County, South Carolina |
824 |
9.9 |
1.7 |
(6.5--13.2) |
Berkeley County, South Carolina |
316 |
10.9 |
2.6 |
(5.8--15.9) |
Charleston County, South Carolina |
661 |
9.4 |
1.6 |
(6.2--12.5) |
Dorchester County, South Carolina |
250 |
4.0 |
1.9 |
(0.2--7.7) |
Greenville County, South Carolina |
544 |
6.1 |
1.9 |
(2.3--9.8) |
Horry County, South Carolina |
883 |
6.0 |
1.0 |
(4.0--7.9) |
Lexington County, South Carolina |
315 |
7.8 |
1.7 |
(4.4--11.1) |
Richland County, South Carolina |
422 |
5.9 |
1.4 |
(3.1--8.6) |
York County, South Carolina |
274 |
4.8 |
1.8 |
(1.2--8.3) |
Minnehaha County, South Dakota |
706 |
3.6 |
0.9 |
(1.8--5.3) |
Pennington County, South Dakota |
747 |
4.9 |
1.2 |
(2.5--7.2) |
Davidson County, Tennessee |
266 |
3.1 |
1.2 |
(0.7--5.4) |
TABLE 36. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
656 |
4.4 |
1.3 |
(1.8--6.9) |
Shelby County, Tennessee |
279 |
4.6 |
1.6 |
(1.4--7.7) |
Sullivan County, Tennessee |
404 |
N/A |
N/A |
N/A |
Bexar County, Texas |
1,026 |
5.1 |
0.9 |
(3.3--6.8) |
Cameron County, Texas |
602 |
2.8 |
0.8 |
(1.2--4.3) |
Collin County, Texas |
252 |
5.3 |
2.2 |
(0.9--9.6) |
Dallas County, Texas |
822 |
4.9 |
1.0 |
(2.9--6.8) |
Denton County, Texas |
253 |
4.8 |
1.8 |
(1.2--8.3) |
El Paso County, Texas |
1,459 |
6.0 |
1.0 |
(4.0--7.9) |
Harris County, Texas |
933 |
6.4 |
1.2 |
(4.0--8.7) |
Hidalgo County, Texas |
923 |
8.6 |
1.7 |
(5.2--11.9) |
Tarrant County, Texas |
1,122 |
4.9 |
0.9 |
(3.1--6.6) |
Travis County, Texas |
774 |
8.6 |
1.5 |
(5.6--11.5) |
Webb County, Texas |
500 |
3.2 |
1.0 |
(1.2--5.1) |
Williamson County, Texas |
353 |
9.0 |
2.3 |
(4.4--13.5) |
Davis County, Utah |
419 |
1.2 |
0.5 |
(0.2--2.1) |
Salt Lake County, Utah |
1,616 |
3.4 |
0.5 |
(2.4--4.3) |
Tooele County, Utah |
246 |
2.4 |
1.0 |
(0.4--4.3) |
Utah County, Utah |
545 |
N/A |
N/A |
N/A |
Weber County, Utah |
399 |
4.3 |
1.2 |
(1.9--6.6) |
Chittenden County, Vermont |
1,397 |
7.7 |
1.0 |
(5.7--9.6) |
Franklin County, Vermont |
457 |
7.0 |
1.6 |
(3.8--10.1) |
Orange County, Vermont |
361 |
8.1 |
1.9 |
(4.3--11.8) |
Rutland County, Vermont |
673 |
5.5 |
1.1 |
(3.3--7.6) |
Washington County, Vermont |
686 |
7.9 |
1.4 |
(5.1--10.6) |
Windsor County, Vermont |
712 |
5.6 |
1.0 |
(3.6--7.5) |
Arlington County, Virginia |
289 |
8.0 |
2.8 |
(2.5--13.4) |
Fairfax County, Virginia |
242 |
10.6 |
3.2 |
(4.3--16.8) |
Prince William County, Virginia |
276 |
6.5 |
1.8 |
(2.9--10.0) |
Alexandria city, Virginia |
253 |
4.9 |
1.4 |
(2.1--7.6) |
Benton County, Washington |
445 |
6.0 |
1.3 |
(3.4--8.5) |
Chelan County, Washington |
538 |
6.9 |
1.3 |
(4.3--9.4) |
Clark County, Washington |
1,668 |
4.5 |
0.7 |
(3.1--5.8) |
Douglas County, Washington |
519 |
6.6 |
1.6 |
(3.4--9.7) |
King County, Washington |
4,315 |
7.2 |
0.6 |
(6.0--8.3) |
Kitsap County, Washington |
984 |
5.5 |
0.7 |
(4.1--6.8) |
Pierce County, Washington |
1,860 |
4.9 |
0.6 |
(3.7--6.0) |
Snohomish County, Washington |
2,670 |
6.9 |
0.7 |
(5.5--8.2) |
Spokane County, Washington |
1,341 |
5.4 |
0.9 |
(3.6--7.1) |
Thurston County, Washington |
1,835 |
5.3 |
0.7 |
(3.9--6.6) |
Whatcom County, Washington |
1,132 |
5.8 |
0.8 |
(4.2--7.3) |
Yakima County, Washington |
744 |
3.5 |
0.8 |
(1.9--5.0) |
Kanawha County, West Virginia |
499 |
3.0 |
1.0 |
(1.0--4.9) |
Milwaukee County, Wisconsin |
1,146 |
5.0 |
1.3 |
(2.4--7.5) |
Fremont County, Wyoming |
492 |
5.2 |
1.2 |
(2.8--7.5) |
Laramie County, Wyoming |
897 |
3.0 |
0.7 |
(1.6--4.3) |
Natrona County, Wyoming |
741 |
5.3 |
1.1 |
(3.1--7.4) |
Median |
5.5 |
|||
Range |
1.2--11.6 |
|||
* For adult men: having more than two drinks per day, for adult women: having more than one drink per day. † Standard error. § Confidence interval. ¶ Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 38. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Grand Island, Nebraska |
539 |
44.6 |
2.8 |
(39.1--50.0) |
Grand Rapids-Wyoming, Michigan |
483 |
35.2 |
2.6 |
(30.1--40.2) |
Greeley, Colorado |
510 |
40.2 |
2.9 |
(34.5--45.8) |
Greensboro-High Point, North Carolina |
780 |
40.0 |
2.7 |
(34.7--45.2) |
Greenville, South Carolina |
853 |
35.9 |
2.2 |
(31.5--40.2) |
Gulfport-Biloxi, Mississippi |
483 |
36.6 |
2.8 |
(31.1--42.0) |
Hagerstown-Martinsburg, Maryland-West Virginia |
684 |
35.3 |
2.5 |
(30.4--40.2) |
Hartford-West Hartford-East Hartford, Connecticut |
2,235 |
37.6 |
1.4 |
(34.8--40.3) |
Hickory-Morganton-Lenoir, North Carolina |
829 |
35.0 |
2.3 |
(30.4--39.5) |
Hilo, Hawaii |
1,507 |
35.6 |
1.5 |
(32.6--38.5) |
Hilton Head Island-Beaufort, South Carolina |
911 |
42.1 |
2.5 |
(37.2--47.0) |
Homosassa Springs, Florida |
565 |
38.3 |
2.6 |
(33.2--43.3) |
Honolulu, Hawaii |
2,882 |
35.3 |
1.1 |
(33.1--37.4) |
Houston-Sugar Land-Baytown, Texas |
1,454 |
38.5 |
1.9 |
(34.7--42.2) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
581 |
37.2 |
2.8 |
(31.7--42.6) |
Idaho Falls, Idaho |
477 |
37.6 |
2.7 |
(32.3--42.8) |
Indianapolis-Carmel, Indiana |
1,490 |
34.6 |
1.7 |
(31.2--37.9) |
Jackson, Mississippi |
1,121 |
36.9 |
1.9 |
(33.1--40.6) |
Jacksonville, Florida |
3,842 |
36.3 |
1.1 |
(34.1--38.4) |
Kahului-Wailuku, Hawaii |
1,503 |
33.6 |
1.7 |
(30.2--36.9) |
Kalispell, Montana |
521 |
37.1 |
2.6 |
(32.0--42.1) |
Kansas City, Missouri-Kansas |
3,245 |
36.1 |
1.3 |
(33.5--38.6) |
Kapaa, Hawaii |
645 |
36.7 |
2.4 |
(31.9--41.4) |
Kennewick-Richland-Pasco, Washington |
638 |
34.4 |
2.6 |
(29.3--39.4) |
Key West-Marathon, Florida |
484 |
32.4 |
3.1 |
(26.3--38.4) |
Kingsport-Bristol, Tennessee-Virginia |
565 |
33.6 |
2.8 |
(28.1--39.0) |
Lake Charles, Louisiana |
506 |
31.8 |
2.6 |
(26.7--36.8) |
Lake City, Florida |
565 |
38.5 |
3.7 |
(31.2--45.7) |
Lakeland-Winter Haven, Florida |
497 |
32.2 |
2.6 |
(27.1--37.2) |
Laredo, Texas |
458 |
37.4 |
3.2 |
(31.1--43.6) |
Las Cruces, New Mexico |
683 |
35.0 |
2.4 |
(30.2--39.7) |
Las Vegas-Paradise, Nevada |
1,311 |
38.7 |
1.7 |
(35.3--42.0) |
Lebanon, New Hampshire-Vermont |
1,541 |
34.3 |
1.6 |
(31.1--37.4) |
Lewiston, Idaho-Washington |
499 |
39.1 |
2.8 |
(33.6--44.5) |
Lincoln, Nebraska |
688 |
34.8 |
2.7 |
(29.5--40.0) |
Little Rock-North Little Rock, Arkansas |
1,194 |
38.7 |
1.8 |
(35.1--42.2) |
Los Angeles-Long Beach-Glendale, California¶ |
834 |
36.1 |
2.1 |
(31.9--40.2) |
Louisville, Kentucky-Indiana |
834 |
42.4 |
2.4 |
(37.6--47.1) |
Manchester-Nashua, New Hampshire |
1,376 |
36.8 |
1.6 |
(33.6--39.9) |
McAllen-Edinburg-Mission, Texas |
865 |
32.6 |
2.2 |
(28.2--36.9) |
Memphis, Tennessee-Mississippi-Arkansas |
952 |
34.5 |
2.6 |
(29.4--39.5) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,101 |
37.7 |
1.9 |
(33.9--41.4) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,469 |
34.1 |
2.1 |
(29.9--38.2) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,674 |
35.4 |
1.2 |
(33.0--37.7) |
Mobile, Alabama |
558 |
34.6 |
2.9 |
(28.9--40.2) |
Montgomery, Alabama |
490 |
36.4 |
3.5 |
(29.5--43.2) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
870 |
38.1 |
2.1 |
(33.9--42.2) |
Naples-Marco Island, Florida |
766 |
35.8 |
2.5 |
(30.9--40.7) |
Nashville-Davidson-Murfreesboro, Tennessee |
576 |
37.5 |
2.8 |
(32.0--42.9) |
Nassau-Suffolk, New York¶ |
771 |
37.2 |
2.3 |
(32.6--41.7) |
Newark-Union, New Jersey-Pennsylvania¶ |
1,894 |
38.2 |
1.8 |
(34.6--41.7) |
New Haven-Milford, Connecticut |
1,710 |
36.7 |
1.8 |
(33.1--40.2) |
New Orleans-Metairie-Kenner, Louisiana |
1,172 |
32.1 |
1.8 |
(28.5--35.6) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,228 |
35.9 |
1.2 |
(33.5--38.2) |
Nogales, Arizona |
482 |
33.0 |
4.7 |
(23.7--42.2) |
Norwich-New London, Connecticut |
478 |
37.8 |
2.9 |
(32.1--43.4) |
Ocala, Florida |
603 |
38.0 |
2.9 |
(32.3--43.6) |
Ogden-Clearfield, Utah |
825 |
35.6 |
2.1 |
(31.4--39.7) |
Okeechobee, Florida |
675 |
29.2 |
2.8 |
(23.7--34.6) |
Oklahoma City, Oklahoma |
2,185 |
37.0 |
1.3 |
(34.4--39.5) |
Olympia, Washington |
1,798 |
37.2 |
1.4 |
(34.4--39.9) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,490 |
37.1 |
1.9 |
(33.3--40.8) |
Orlando-Kissimmee, Florida |
2,563 |
37.8 |
1.8 |
(34.2--41.3) |
Palm Bay-Melbourne-Titusville, Florida |
531 |
39.7 |
2.8 |
(34.2--45.1) |
Palm Coast, Florida |
509 |
38.1 |
3.1 |
(32.0--44.1) |
TABLE 38. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Panama City-Lynn Haven, Florida |
526 |
39.4 |
3.3 |
(32.9--45.8) |
Pensacola-Ferry Pass-Brent, Florida |
992 |
37.6 |
2.0 |
(33.6--41.5) |
Philadelphia, Pennsylvania¶ |
2,768 |
35.2 |
1.6 |
(32.0--38.3) |
Phoenix-Mesa-Scottsdale, Arizona |
1,206 |
37.3 |
2.1 |
(33.1--41.4) |
Pittsburgh, Pennsylvania |
2,836 |
34.9 |
1.7 |
(31.5--38.2) |
Portland-South Portland-Biddeford, Maine |
2,027 |
37.4 |
1.4 |
(34.6--40.1) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,810 |
34.6 |
1.1 |
(32.4--36.7) |
Port St. Lucie-Fort Pierce, Florida |
1,031 |
36.1 |
2.0 |
(32.1--40.0) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
7,754 |
38.3 |
0.9 |
(36.5--40.0) |
Provo-Orem, Utah |
562 |
32.5 |
2.7 |
(27.2--37.7) |
Raleigh-Cary, North Carolina |
1,024 |
34.5 |
2.1 |
(30.3--38.6) |
Rapid City, South Dakota |
940 |
36.6 |
2.0 |
(32.6--40.5) |
Reno-Sparks, Nevada |
1,347 |
38.7 |
1.6 |
(35.5--41.8) |
Richmond, Virginia |
819 |
35.4 |
2.2 |
(31.0--39.7) |
Riverside-San Bernardino-Ontario, California |
664 |
38.4 |
2.5 |
(33.5--43.3) |
Riverton, Wyoming |
489 |
37.8 |
2.8 |
(32.3--43.2) |
Rockingham County-Strafford County, New Hampshire¶ |
1,546 |
35.9 |
1.5 |
(32.9--38.8) |
Rutland, Vermont |
660 |
39.6 |
2.3 |
(35.0--44.1) |
St. Louis, Missouri-Illinois |
1,532 |
35.2 |
1.9 |
(31.4--38.9) |
Salt Lake City, Utah |
2,054 |
34.4 |
1.4 |
(31.6--37.1) |
San Antonio, Texas |
1,347 |
40.6 |
1.9 |
(36.8--44.3) |
San Diego-Carlsbad-San Marcos, California |
492 |
37.7 |
2.8 |
(32.2--43.1) |
San Francisco-Oakland-Fremont, California |
757 |
34.1 |
2.3 |
(29.5--38.6) |
Santa Fe, New Mexico |
510 |
35.0 |
2.8 |
(29.5--40.4) |
Sarasota-Bradenton-Venice, Florida |
1,269 |
38.5 |
2.1 |
(34.3--42.6) |
Scranton-Wilkes-Barre, Pennsylvania |
2,422 |
39.5 |
2.4 |
(34.7--44.2) |
Seaford, Delaware |
1,197 |
37.2 |
1.7 |
(33.8--40.5) |
Seattle-Bellevue-Everett, Washington¶ |
6,895 |
35.7 |
0.8 |
(34.1--37.2) |
Sebring, Florida |
724 |
38.9 |
2.8 |
(33.4--44.3) |
Sioux City, Iowa-Nebraska-South Dakota |
847 |
34.4 |
3.0 |
(28.5--40.2) |
Sioux Falls, South Dakota |
916 |
37.9 |
1.9 |
(34.1--41.6) |
Spokane, Washington |
1,326 |
37.1 |
1.8 |
(33.5--40.6) |
Springfield, Massachusetts |
2,443 |
36.0 |
1.6 |
(32.8--39.1) |
Tacoma, Washington¶ |
1,826 |
37.7 |
1.5 |
(34.7--40.6) |
Tallahassee, Florida |
1,996 |
33.2 |
2.4 |
(28.4--37.9) |
Tampa-St. Petersburg-Clearwater, Florida |
2,104 |
37.1 |
1.7 |
(33.7--40.4) |
Toledo, Ohio |
949 |
34.2 |
2.1 |
(30.0--38.3) |
Topeka, Kansas |
763 |
35.7 |
2.2 |
(31.3--40.0) |
Tucson, Arizona |
711 |
33.3 |
2.5 |
(28.4--38.2) |
Tulsa, Oklahoma |
2,008 |
36.1 |
1.5 |
(33.1--39.0) |
Tuscaloosa, Alabama |
510 |
39.1 |
3.2 |
(32.8--45.3) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,096 |
33.1 |
2.3 |
(28.5--37.6) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,446 |
37.0 |
1.6 |
(33.8--40.1) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,520 |
39.0 |
1.7 |
(35.6--42.3) |
Wauchula, Florida |
657 |
N/A** |
N/A |
N/A |
Wenatchee, Washington |
1,016 |
38.2 |
2.1 |
(34.0--42.3) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
525 |
43.0 |
3.0 |
(37.1--48.8) |
Wichita, Kansas |
1,501 |
35.2 |
1.5 |
(32.2--38.1) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,697 |
37.1 |
1.7 |
(33.7--40.4) |
Wilmington, North Carolina |
588 |
35.0 |
2.7 |
(29.7--40.2) |
Worcester, Massachusetts |
2,614 |
37.4 |
1.4 |
(34.6--40.1) |
Yakima, Washington |
705 |
37.5 |
2.4 |
(32.7--42.2) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
998 |
37.6 |
2.7 |
(32.3--42.8) |
Yuma, Arizona |
516 |
47.2 |
2.8 |
(41.7--52.6) |
Median |
36.9 |
|||
Range |
29.2--47.2 |
|||
* Body mass index ≥25.0 to <30.0 kg/m². † Standard error. § Confidence interval. ¶ Metropolitan division. ** Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 39. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
603 |
38.0 |
2.9 |
(32.3--43.6) |
Martin County, Florida |
525 |
37.2 |
2.7 |
(31.9--42.4) |
Miami-Dade County, Florida |
569 |
38.8 |
2.7 |
(33.5--44.0) |
Monroe County, Florida |
484 |
32.4 |
3.1 |
(26.3--38.4) |
Nassau County, Florida |
529 |
36.6 |
2.7 |
(31.3--41.8) |
Okeechobee County, Florida |
675 |
29.2 |
2.8 |
(23.7--34.6) |
Orange County, Florida |
786 |
37.5 |
2.9 |
(31.8--43.1) |
Osceola County, Florida |
682 |
37.9 |
2.9 |
(32.2--43.5) |
Palm Beach County, Florida |
525 |
43.0 |
3.0 |
(37.1--48.8) |
Pasco County, Florida |
536 |
36.5 |
2.8 |
(31.0--41.9) |
Pinellas County, Florida |
527 |
35.2 |
2.8 |
(29.7--40.6) |
Polk County, Florida |
497 |
32.2 |
2.6 |
(27.1--37.2) |
St. Johns County, Florida |
535 |
35.2 |
2.7 |
(29.9--40.4) |
St. Lucie County, Florida |
506 |
35.2 |
2.7 |
(29.9--40.4) |
Santa Rosa County, Florida |
487 |
36.6 |
2.6 |
(31.5--41.6) |
Sarasota County, Florida |
797 |
42.5 |
2.8 |
(37.0--47.9) |
Seminole County, Florida |
516 |
37.5 |
2.9 |
(31.8--43.1) |
Volusia County, Florida |
489 |
37.6 |
2.9 |
(31.9--43.2) |
Wakulla County, Florida |
521 |
27.9 |
2.8 |
(22.4--33.3) |
Clayton County, Georgia |
320 |
38.4 |
3.8 |
(30.9--45.8) |
Cobb County, Georgia |
391 |
33.4 |
3.1 |
(27.3--39.4) |
DeKalb County, Georgia |
409 |
38.0 |
3.5 |
(31.1--44.8) |
Fulton County, Georgia |
390 |
38.6 |
3.5 |
(31.7--45.4) |
Gwinnett County, Georgia |
313 |
37.5 |
3.4 |
(30.8--44.1) |
Hawaii County, Hawaii |
1,507 |
35.6 |
1.5 |
(32.6--38.5) |
Honolulu County, Hawaii |
2,882 |
35.3 |
1.1 |
(33.1--37.4) |
Kauai County, Hawaii |
645 |
36.7 |
2.4 |
(31.9--41.4) |
Maui County, Hawaii |
1,503 |
33.6 |
1.7 |
(30.2--36.9) |
Ada County, Idaho |
618 |
41.8 |
2.6 |
(36.7--46.8) |
Bonneville County, Idaho |
367 |
37.8 |
3.0 |
(31.9--43.6) |
Canyon County, Idaho |
464 |
37.0 |
2.7 |
(31.7--42.2) |
Nez Perce County, Idaho |
259 |
41.1 |
3.7 |
(33.8--48.3) |
Cook County, Illinois |
1,597 |
38.0 |
1.6 |
(34.8--41.1) |
DuPage County, Illinois |
371 |
43.3 |
3.3 |
(36.8--49.7) |
Lake County, Illinois |
285 |
35.1 |
3.3 |
(28.6--41.5) |
Lake County, Indiana |
555 |
35.2 |
3.6 |
(28.1--42.2) |
Marion County, Indiana |
1,062 |
33.9 |
2.0 |
(29.9--37.8) |
Polk County, Iowa |
683 |
34.9 |
2.1 |
(30.7--39.0) |
Johnson County, Kansas |
1,501 |
35.5 |
1.5 |
(32.5--38.4) |
Sedgwick County, Kansas |
1,130 |
35.7 |
1.7 |
(32.3--39.0) |
Shawnee County, Kansas |
536 |
34.3 |
2.7 |
(29.0--39.5) |
Wyandotte County, Kansas |
328 |
33.8 |
3.3 |
(27.3--40.2) |
Jefferson County, Kentucky |
457 |
40.0 |
3.1 |
(33.9--46.0) |
Calcasieu Parish, Louisiana |
488 |
31.7 |
2.6 |
(26.6--36.7) |
East Baton Rouge Parish, Louisiana |
475 |
33.9 |
2.6 |
(28.8--38.9) |
Jefferson Parish, Louisiana |
401 |
34.0 |
3.0 |
(28.1--39.8) |
Orleans Parish, Louisiana |
278 |
28.6 |
3.5 |
(21.7--35.4) |
St. Tammany Parish, Louisiana |
310 |
34.1 |
3.3 |
(27.6--40.5) |
Cumberland County, Maine |
1,051 |
36.8 |
1.8 |
(33.2--40.3) |
Kennebec County, Maine |
522 |
39.8 |
2.6 |
(34.7--44.8) |
Penobscot County, Maine |
630 |
37.6 |
2.3 |
(33.0--42.1) |
Sagadahoc County, Maine |
273 |
38.6 |
3.6 |
(31.5--45.6) |
York County, Maine |
703 |
38.9 |
2.3 |
(34.3--43.4) |
Anne Arundel County, Maryland |
528 |
37.3 |
2.6 |
(32.2--42.3) |
Baltimore County, Maryland |
937 |
34.4 |
1.9 |
(30.6--38.1) |
Charles County, Maryland |
288 |
38.6 |
3.6 |
(31.5--45.6) |
Frederick County, Maryland |
511 |
38.6 |
2.7 |
(33.3--43.8) |
Harford County, Maryland |
292 |
40.3 |
3.6 |
(33.2--47.3) |
Howard County, Maryland |
329 |
36.6 |
3.3 |
(30.1--43.0) |
Montgomery County, Maryland |
1,052 |
33.8 |
2.0 |
(29.8--37.7) |
Prince George´s County, Maryland |
615 |
38.9 |
2.5 |
(34.0--43.8) |
Queen Anne´s County, Maryland |
243 |
42.8 |
4.0 |
(34.9--50.6) |
Washington County, Maryland |
420 |
36.2 |
3.1 |
(30.1--42.2) |
TABLE 39. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
479 |
33.7 |
2.8 |
(28.2--39.1) |
Barnstable County, Massachusetts |
557 |
36.6 |
2.7 |
(31.3--41.8) |
Bristol County, Massachusetts |
3,471 |
36.5 |
1.5 |
(33.5--39.4) |
Essex County, Massachusetts |
2,789 |
35.5 |
1.7 |
(32.1--38.8) |
Hampden County, Massachusetts |
1,892 |
35.5 |
1.8 |
(31.9--39.0) |
Hampshire County, Massachusetts |
352 |
37.0 |
3.6 |
(29.9--44.0) |
Middlesex County, Massachusetts |
3,744 |
34.7 |
1.2 |
(32.3--37.0) |
Norfolk County, Massachusetts |
1,198 |
37.2 |
1.8 |
(33.6--40.7) |
Plymouth County, Massachusetts |
806 |
39.0 |
2.4 |
(34.2--43.7) |
Suffolk County, Massachusetts |
2,279 |
36.5 |
1.8 |
(32.9--40.0) |
Worcester County, Massachusetts |
2,614 |
37.4 |
1.4 |
(34.6--40.1) |
Kent County, Michigan |
357 |
35.0 |
3.1 |
(28.9--41.0) |
Macomb County, Michigan |
395 |
34.6 |
2.9 |
(28.9--40.2) |
Oakland County, Michigan |
758 |
38.9 |
2.3 |
(34.3--43.4) |
Wayne County, Michigan |
1,577 |
35.9 |
1.8 |
(32.3--39.4) |
Anoka County, Minnesota |
265 |
38.8 |
3.7 |
(31.5--46.0) |
Dakota County, Minnesota |
342 |
35.3 |
3.1 |
(29.2--41.3) |
Hennepin County, Minnesota |
914 |
36.3 |
2.2 |
(31.9--40.6) |
Ramsey County, Minnesota |
400 |
33.3 |
2.9 |
(27.6--38.9) |
DeSoto County, Mississippi |
254 |
31.4 |
3.8 |
(23.9--38.8) |
Harrison County, Mississippi |
366 |
35.7 |
3.1 |
(29.6--41.7) |
Hinds County, Mississippi |
507 |
36.2 |
3.1 |
(30.1--42.2) |
Rankin County, Mississippi |
282 |
38.4 |
3.3 |
(31.9--44.8) |
Jackson County, Missouri |
478 |
36.4 |
2.6 |
(31.3--41.4) |
St. Louis County, Missouri |
444 |
35.6 |
3.1 |
(29.5--41.6) |
St. Louis City, Missouri |
461 |
36.6 |
3.7 |
(29.3--43.8) |
Flathead County, Montana |
521 |
37.1 |
2.6 |
(32.0--42.1) |
Yellowstone County, Montana |
431 |
39.9 |
3.0 |
(34.0--45.7) |
Dakota County, Nebraska |
457 |
40.7 |
2.9 |
(35.0--46.3) |
Douglas County, Nebraska |
579 |
35.5 |
2.7 |
(30.2--40.7) |
Hall County, Nebraska |
355 |
41.0 |
3.1 |
(34.9--47.0) |
Lancaster County, Nebraska |
530 |
34.9 |
2.9 |
(29.2--40.5) |
Sarpy County, Nebraska |
369 |
47.3 |
4.0 |
(39.4--55.1) |
Clark County, Nevada |
1,311 |
38.7 |
1.7 |
(35.3--42.0) |
Washoe County, Nevada |
1,325 |
38.8 |
1.6 |
(35.6--41.9) |
Grafton County, New Hampshire |
488 |
36.8 |
2.9 |
(31.1--42.4) |
Hillsborough County, New Hampshire |
1,376 |
36.8 |
1.6 |
(33.6--39.9) |
Merrimack County, New Hampshire |
615 |
36.7 |
2.5 |
(31.8--41.6) |
Rockingham County, New Hampshire |
956 |
35.0 |
1.8 |
(31.4--38.5) |
Strafford County, New Hampshire |
590 |
40.6 |
2.7 |
(35.3--45.8) |
Bergen County, New Jersey |
369 |
37.9 |
3.4 |
(31.2--44.5) |
Burlington County, New Jersey |
325 |
38.7 |
3.6 |
(31.6--45.7) |
Camden County, New Jersey |
302 |
37.5 |
4.0 |
(29.6--45.3) |
Essex County, New Jersey |
512 |
38.9 |
3.1 |
(32.8--44.9) |
Gloucester County, New Jersey |
321 |
44.6 |
3.8 |
(37.1--52.0) |
Hudson County, New Jersey |
542 |
35.9 |
2.9 |
(30.2--41.5) |
Hunterdon County, New Jersey |
351 |
39.0 |
3.2 |
(32.7--45.2) |
Middlesex County, New Jersey |
362 |
39.1 |
3.3 |
(32.6--45.5) |
Monmouth County, New Jersey |
318 |
37.3 |
3.4 |
(30.6--43.9) |
Morris County, New Jersey |
388 |
42.3 |
3.4 |
(35.6--48.9) |
Ocean County, New Jersey |
313 |
37.5 |
3.6 |
(30.4--44.5) |
Passaic County, New Jersey |
270 |
34.7 |
3.7 |
(27.4--41.9) |
Somerset County, New Jersey |
346 |
42.0 |
3.4 |
(35.3--48.6) |
Sussex County, New Jersey |
323 |
39.9 |
3.7 |
(32.6--47.1) |
Union County, New Jersey |
291 |
36.7 |
3.7 |
(29.4--43.9) |
Warren County, New Jersey |
293 |
35.7 |
3.6 |
(28.6--42.7) |
Bernalillo County, New Mexico |
1,065 |
36.4 |
1.8 |
(32.8--39.9) |
Dona Ana County, New Mexico |
683 |
35.0 |
2.4 |
(30.2--39.7) |
Sandoval County, New Mexico |
500 |
34.2 |
2.9 |
(28.5--39.8) |
San Juan County, New Mexico |
661 |
41.3 |
2.5 |
(36.4--46.2) |
Santa Fe County, New Mexico |
510 |
35.0 |
2.8 |
(29.5--40.4) |
Valencia County, New Mexico |
305 |
43.1 |
3.6 |
(36.0--50.1) |
Erie County, New York |
387 |
38.8 |
3.1 |
(32.7--44.8) |
TABLE 39. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
387 |
31.2 |
2.7 |
(25.9--36.4) |
Nassau County, New York |
356 |
35.6 |
3.2 |
(29.3--41.8) |
New York County, New York |
527 |
36.1 |
2.9 |
(30.4--41.7) |
Queens County, New York |
424 |
39.2 |
3.0 |
(33.3--45.0) |
Suffolk County, New York |
415 |
38.2 |
3.1 |
(32.1--44.2) |
Westchester County, New York |
268 |
39.0 |
3.6 |
(31.9--46.0) |
Buncombe County, North Carolina |
341 |
33.0 |
3.1 |
(26.9--39.0) |
Cabarrus County, North Carolina |
341 |
33.8 |
3.4 |
(27.1--40.4) |
Catawba County, North Carolina |
392 |
34.8 |
3.0 |
(28.9--40.6) |
Cumberland County, North Carolina |
361 |
37.8 |
3.5 |
(30.9--44.6) |
Durham County, North Carolina |
311 |
34.9 |
3.5 |
(28.0--41.7) |
Gaston County, North Carolina |
380 |
34.4 |
3.0 |
(28.5--40.2) |
Guilford County, North Carolina |
365 |
41.1 |
3.6 |
(34.0--48.1) |
Henderson County, North Carolina |
290 |
35.3 |
3.6 |
(28.2--42.3) |
Johnston County, North Carolina |
408 |
37.9 |
3.6 |
(30.8--44.9) |
Mecklenburg County, North Carolina |
646 |
35.2 |
2.4 |
(30.4--39.9) |
New Hanover County, North Carolina |
370 |
32.0 |
3.0 |
(26.1--37.8) |
Orange County, North Carolina |
337 |
36.2 |
3.7 |
(28.9--43.4) |
Randolph County, North Carolina |
352 |
36.7 |
3.1 |
(30.6--42.7) |
Union County, North Carolina |
364 |
38.8 |
3.3 |
(32.3--45.2) |
Wake County, North Carolina |
575 |
33.5 |
2.5 |
(28.6--38.4) |
Burleigh County, North Dakota |
469 |
37.7 |
2.7 |
(32.4--42.9) |
Cass County, North Dakota |
634 |
33.4 |
2.3 |
(28.8--37.9) |
Cuyahoga County, Ohio |
737 |
34.0 |
2.2 |
(29.6--38.3) |
Franklin County, Ohio |
737 |
33.1 |
2.2 |
(28.7--37.4) |
Hamilton County, Ohio |
795 |
35.1 |
2.1 |
(30.9--39.2) |
Licking County, Ohio |
243 |
39.5 |
4.1 |
(31.4--47.5) |
Lucas County, Ohio |
751 |
35.7 |
2.2 |
(31.3--40.0) |
Mahoning County, Ohio |
783 |
39.6 |
2.5 |
(34.7--44.5) |
Montgomery County, Ohio |
721 |
38.4 |
2.4 |
(33.6--43.1) |
Stark County, Ohio |
768 |
35.8 |
2.1 |
(31.6--39.9) |
Summit County, Ohio |
717 |
36.6 |
2.2 |
(32.2--40.9) |
Canadian County, Oklahoma |
242 |
39.3 |
3.8 |
(31.8--46.7) |
Cleveland County, Oklahoma |
400 |
40.7 |
3.1 |
(34.6--46.7) |
Oklahoma County, Oklahoma |
1,217 |
35.9 |
1.7 |
(32.5--39.2) |
Tulsa County, Oklahoma |
1,435 |
35.5 |
1.6 |
(32.3--38.6) |
Clackamas County, Oregon |
461 |
35.3 |
2.8 |
(29.8--40.7) |
Multnomah County, Oregon |
789 |
31.1 |
2.0 |
(27.1--35.0) |
Washington County, Oregon |
538 |
39.4 |
2.6 |
(34.3--44.4) |
Allegheny County, Pennsylvania |
619 |
31.5 |
2.3 |
(26.9--36.0) |
Delaware County, Pennsylvania |
263 |
36.3 |
3.7 |
(29.0--43.5) |
Fayette County, Pennsylvania |
1,557 |
35.9 |
2.0 |
(31.9--39.8) |
Luzerne County, Pennsylvania |
2,241 |
38.7 |
2.2 |
(34.3--43.0) |
Montgomery County, Pennsylvania |
321 |
41.9 |
3.5 |
(35.0--48.7) |
Philadelphia County, Pennsylvania |
1,761 |
34.2 |
2.6 |
(29.1--39.2) |
Westmoreland County, Pennsylvania |
280 |
39.2 |
4.2 |
(30.9--47.4) |
Kent County, Rhode Island |
624 |
40.9 |
2.6 |
(35.8--45.9) |
Newport County, Rhode Island |
346 |
34.6 |
3.3 |
(28.1--41.0) |
Providence County, Rhode Island |
2,615 |
40.4 |
1.4 |
(37.6--43.1) |
Washington County, Rhode Island |
494 |
35.5 |
2.9 |
(29.8--41.1) |
Aiken County, South Carolina |
659 |
34.4 |
2.3 |
(29.8--38.9) |
Beaufort County, South Carolina |
822 |
42.5 |
2.6 |
(37.4--47.5) |
Berkeley County, South Carolina |
319 |
39.3 |
3.4 |
(32.6--45.9) |
Charleston County, South Carolina |
661 |
33.6 |
2.3 |
(29.0--38.1) |
Dorchester County, South Carolina |
244 |
35.9 |
3.8 |
(28.4--43.3) |
Greenville County, South Carolina |
535 |
37.7 |
2.8 |
(32.2--43.1) |
Horry County, South Carolina |
870 |
38.1 |
2.1 |
(33.9--42.2) |
Lexington County, South Carolina |
319 |
38.1 |
3.3 |
(31.6--44.5) |
Richland County, South Carolina |
419 |
34.8 |
2.9 |
(29.1--40.4) |
York County, South Carolina |
264 |
36.9 |
3.5 |
(30.0--43.7) |
Minnehaha County, South Dakota |
685 |
38.1 |
2.2 |
(33.7--42.4) |
Pennington County, South Dakota |
742 |
37.1 |
2.3 |
(32.5--41.6) |
Davidson County, Tennessee |
266 |
32.9 |
3.8 |
(25.4--40.3) |
TABLE 39. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
647 |
37.4 |
2.5 |
(32.5--42.3) |
Shelby County, Tennessee |
286 |
36.2 |
3.6 |
(29.1--43.2) |
Sullivan County, Tennessee |
403 |
31.8 |
2.9 |
(26.1--37.4) |
Bexar County, Texas |
1,004 |
39.3 |
2.1 |
(35.1--43.4) |
Cameron County, Texas |
571 |
38.9 |
2.7 |
(33.6--44.1) |
Collin County, Texas |
248 |
38.0 |
4.0 |
(30.1--45.8) |
Dallas County, Texas |
789 |
35.0 |
2.5 |
(30.1--39.9) |
Denton County, Texas |
246 |
37.6 |
3.9 |
(29.9--45.2) |
El Paso County, Texas |
1,387 |
39.3 |
1.7 |
(35.9--42.6) |
Harris County, Texas |
915 |
35.9 |
2.3 |
(31.3--40.4) |
Hidalgo County, Texas |
865 |
32.6 |
2.2 |
(28.2--36.9) |
Tarrant County, Texas |
1,083 |
35.9 |
1.9 |
(32.1--39.6) |
Travis County, Texas |
749 |
31.1 |
2.2 |
(26.7--35.4) |
Webb County, Texas |
458 |
37.4 |
3.2 |
(31.1--43.6) |
Williamson County, Texas |
350 |
39.7 |
3.3 |
(33.2--46.1) |
Davis County, Utah |
410 |
37.5 |
2.9 |
(31.8--43.1) |
Salt Lake County, Utah |
1,580 |
34.6 |
1.5 |
(31.6--37.5) |
Tooele County, Utah |
242 |
31.1 |
3.5 |
(24.2--37.9) |
Utah County, Utah |
529 |
32.4 |
2.8 |
(26.9--37.8) |
Weber County, Utah |
397 |
34.2 |
2.8 |
(28.7--39.6) |
Chittenden County, Vermont |
1,378 |
37.4 |
1.7 |
(34.0--40.7) |
Franklin County, Vermont |
451 |
36.7 |
2.8 |
(31.2--42.1) |
Orange County, Vermont |
360 |
34.4 |
3.1 |
(28.3--40.4) |
Rutland County, Vermont |
660 |
39.6 |
2.3 |
(35.0--44.1) |
Washington County, Vermont |
673 |
37.8 |
2.3 |
(33.2--42.3) |
Windsor County, Vermont |
693 |
33.7 |
2.1 |
(29.5--37.8) |
Arlington County, Virginia |
290 |
28.4 |
3.3 |
(21.9--34.8) |
Fairfax County, Virginia |
241 |
41.3 |
5.1 |
(31.3--51.2) |
Prince William County, Virginia |
266 |
32.8 |
4.2 |
(24.5--41.0) |
Alexandria city, Virginia |
254 |
31.6 |
4.4 |
(22.9--40.2) |
Benton County, Washington |
425 |
33.9 |
2.9 |
(28.2--39.5) |
Chelan County, Washington |
516 |
37.7 |
2.8 |
(32.2--43.1) |
Clark County, Washington |
1,622 |
36.7 |
1.6 |
(33.5--39.8) |
Douglas County, Washington |
500 |
40.2 |
3.0 |
(34.3--46.0) |
King County, Washington |
4,276 |
35.8 |
0.9 |
(34.0--37.5) |
Kitsap County, Washington |
972 |
36.9 |
1.9 |
(33.1--40.6) |
Pierce County, Washington |
1,826 |
37.4 |
1.4 |
(34.6--40.1) |
Snohomish County, Washington |
2,619 |
36.8 |
1.2 |
(34.4--39.1) |
Spokane County, Washington |
1,326 |
37.1 |
1.8 |
(33.5--40.6) |
Thurston County, Washington |
1,798 |
37.2 |
1.4 |
(34.4--39.9) |
Whatcom County, Washington |
1,110 |
33.3 |
1.8 |
(29.7--36.8) |
Yakima County, Washington |
705 |
37.5 |
2.4 |
(32.7--42.2) |
Kanawha County, West Virginia |
485 |
38.7 |
2.7 |
(33.4--43.9) |
Milwaukee County, Wisconsin |
1,132 |
35.4 |
2.7 |
(30.1--40.6) |
Fremont County, Wyoming |
489 |
37.8 |
2.8 |
(32.3--43.2) |
Laramie County, Wyoming |
883 |
38.0 |
2.1 |
(33.8--42.1) |
Natrona County, Wyoming |
727 |
38.0 |
2.2 |
(33.6--42.3) |
Median |
36.7 |
|||
Range |
26.3--47.3 |
|||
* Body mass index ≥25.0 to <30.0 kg/m². † Standard error. § Confidence interval. ¶ Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 41. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Grand Rapids-Wyoming, Michigan |
473 |
28.5 |
2.6 |
(23.5-33.5) |
Greeley, Colorado |
504 |
25.5 |
2.4 |
(20.8-30.2) |
Greensboro-High Point, North Carolina |
778 |
28.2 |
2.4 |
(23.4-33.0) |
Greenville, South Carolina |
848 |
24.7 |
2.0 |
(20.7-28.7) |
Gulfport-Biloxi, Mississippi |
475 |
27.4 |
2.6 |
(22.3-32.5) |
Hagerstown-Martinsburg, Maryland-West Virginia |
676 |
32.4 |
2.5 |
(27.5-37.3) |
Hartford-West Hartford-East Hartford, Connecticut |
2,216 |
21.3 |
1.1 |
(19.1-23.5) |
Hickory-Morganton-Lenoir, North Carolina |
824 |
28.7 |
2.2 |
(24.5-32.9) |
Hilo, Hawaii |
1,485 |
23.7 |
1.4 |
(20.9-26.5) |
Hilton Head Island-Beaufort, South Carolina |
904 |
19.2 |
2.0 |
(15.2-23.2) |
Homosassa Springs, Florida |
562 |
28.5 |
2.4 |
(23.9-33.1) |
Honolulu, Hawaii |
2,837 |
21.7 |
1.0 |
(19.8-23.6) |
Houston-Sugar Land-Baytown, Texas |
1,439 |
27.0 |
1.7 |
(23.7-30.3) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
576 |
32.9 |
2.8 |
(27.5-38.3) |
Idaho Falls, Idaho |
474 |
27.2 |
2.4 |
(22.4-32.0) |
Indianapolis-Carmel, Indiana |
1,470 |
28.1 |
1.6 |
(24.9-31.3) |
Jackson, Mississippi |
1,105 |
29.4 |
1.7 |
(26.1-32.7) |
Jacksonville, Florida |
3,786 |
26.5 |
1.0 |
(24.5-28.5) |
Kahului-Wailuku, Hawaii |
1,486 |
26.0 |
1.8 |
(22.5-29.5) |
Kalispell, Montana |
514 |
21.5 |
2.4 |
(16.9-26.1) |
Kansas City, Missouri-Kansas |
3,213 |
28.9 |
1.2 |
(26.6-31.2) |
Kapaa, Hawaii |
640 |
22.4 |
2.2 |
(18.2-26.6) |
Kennewick-Richland-Pasco, Washington |
628 |
30.5 |
2.6 |
(25.5-35.5) |
Key West-Marathon, Florida |
480 |
19.7 |
3.1 |
(13.7-25.7) |
Kingsport-Bristol, Tennessee-Virginia |
557 |
29.9 |
2.6 |
(24.7-35.1) |
Lake Charles, Louisiana |
504 |
33.3 |
2.7 |
(28.0-38.6) |
Lake City, Florida |
559 |
27.3 |
2.7 |
(21.9-32.7) |
Lakeland-Winter Haven, Florida |
490 |
33.7 |
2.7 |
(28.4-39.0) |
Laredo, Texas |
446 |
35.8 |
3.0 |
(29.9-41.7) |
Las Cruces, New Mexico |
669 |
31.6 |
2.4 |
(26.8-36.4) |
Las Vegas-Paradise, Nevada |
1,279 |
25.5 |
1.5 |
(22.6-28.4) |
Lebanon, New Hampshire-Vermont |
1,531 |
23.1 |
1.3 |
(20.5-25.7) |
Lewiston, Idaho-Washington |
489 |
31.7 |
2.6 |
(26.6-36.8) |
Lincoln, Nebraska |
679 |
25.4 |
2.5 |
(20.5-30.3) |
Little Rock-North Little Rock, Arkansas |
1,184 |
25.1 |
1.6 |
(22.0-28.2) |
Los Angeles-Long Beach-Glendale, California¶ |
828 |
25.2 |
2.0 |
(21.3-29.1) |
Louisville, Kentucky-Indiana |
827 |
27.1 |
1.9 |
(23.3-30.9) |
Manchester-Nashua, New Hampshire |
1,361 |
25.7 |
1.4 |
(22.9-28.5) |
McAllen-Edinburg-Mission, Texas |
853 |
37.6 |
2.4 |
(33.0-42.2) |
Memphis, Tennessee-Mississippi-Arkansas |
943 |
35.3 |
2.5 |
(30.4-40.2) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,090 |
23.9 |
1.7 |
(20.5-27.3) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,440 |
25.9 |
1.9 |
(22.1-29.7) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,646 |
26.2 |
1.1 |
(24.0-28.4) |
Mobile, Alabama |
551 |
31.2 |
2.6 |
(26.0-36.4) |
Montgomery, Alabama |
484 |
35.8 |
3.7 |
(28.5-43.1) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
855 |
28.5 |
2.0 |
(24.5-32.5) |
Naples-Marco Island, Florida |
759 |
23.2 |
2.4 |
(18.5-27.9) |
Nashville-Davidson-Murfreesboro, Tennessee |
570 |
27.3 |
2.5 |
(22.4-32.2) |
Nassau-Suffolk, New York¶ |
764 |
20.6 |
1.8 |
(17.0-24.2) |
Newark-Union, New Jersey-Pennsylvania¶ |
1,877 |
24.0 |
1.5 |
(21.0-27.0) |
New Haven-Milford, Connecticut |
1,698 |
25.0 |
1.6 |
(21.8-28.2) |
New Orleans-Metairie-Kenner, Louisiana |
1,159 |
30.6 |
1.9 |
(26.9-34.3) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,190 |
24.1 |
1.1 |
(22.0-26.2) |
Nogales, Arizona |
475 |
N/A** |
N/A |
N/A |
Norwich-New London, Connecticut |
476 |
24.8 |
2.6 |
(19.7-29.9) |
Ocala, Florida |
599 |
25.0 |
2.5 |
(20.1-29.9) |
Ogden-Clearfield, Utah |
811 |
21.2 |
1.6 |
(18.1-24.3) |
Okeechobee, Florida |
668 |
34.5 |
3.1 |
(28.4-40.6) |
Oklahoma City, Oklahoma |
2,155 |
28.7 |
1.2 |
(26.4-31.0) |
Olympia, Washington |
1,774 |
27.3 |
1.3 |
(24.7-29.9) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,477 |
27.4 |
1.6 |
(24.2-30.6) |
Orlando-Kissimmee, Florida |
2,538 |
24.1 |
1.3 |
(21.5-26.7) |
Palm Bay-Melbourne-Titusville, Florida |
529 |
23.5 |
2.3 |
(18.9-28.1) |
Palm Coast, Florida |
508 |
23.9 |
2.7 |
(18.6-29.2) |
Panama City-Lynn Haven, Florida |
521 |
24.5 |
2.7 |
(19.2-29.8) |
TABLE 41. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Pensacola-Ferry Pass-Brent, Florida |
980 |
26.4 |
1.8 |
(22.9-29.9) |
Philadelphia, Pennsylvania¶ |
2,731 |
26.5 |
1.4 |
(23.7-29.3) |
Phoenix-Mesa-Scottsdale, Arizona |
1,195 |
26.2 |
2.1 |
(22.1-30.3) |
Pittsburgh, Pennsylvania |
2,812 |
28.3 |
1.6 |
(25.1-31.5) |
Portland-South Portland-Biddeford, Maine |
2,003 |
21.6 |
1.1 |
(19.4-23.8) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,775 |
26.5 |
1.0 |
(24.4-28.6) |
Port St. Lucie-Fort Pierce, Florida |
1,022 |
25.5 |
1.9 |
(21.8-29.2) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
7,676 |
23.3 |
0.7 |
(21.9-24.7) |
Provo-Orem, Utah |
549 |
27.2 |
2.4 |
(22.5-31.9) |
Raleigh-Cary, North Carolina |
1,017 |
29.2 |
2.2 |
(24.9-33.5) |
Rapid City, South Dakota |
932 |
24.7 |
1.8 |
(21.1-28.3) |
Reno-Sparks, Nevada |
1,316 |
19.6 |
1.3 |
(17.0-22.2) |
Richmond, Virginia |
811 |
26.1 |
2.0 |
(22.1-30.1) |
Riverside-San Bernardino-Ontario, California |
645 |
27.1 |
2.3 |
(22.6-31.6) |
Riverton, Wyoming |
485 |
30.0 |
2.6 |
(24.9-35.1) |
Rockingham County-Strafford County, New Hampshire¶ |
1,529 |
26.7 |
1.4 |
(24.0-29.4) |
Rutland, Vermont |
652 |
24.7 |
2.0 |
(20.8-28.6) |
St. Louis, Missouri-Illinois |
1,519 |
28.9 |
1.7 |
(25.6-32.2) |
Salt Lake City, Utah |
2,020 |
23.4 |
1.2 |
(21.0-25.8) |
San Antonio, Texas |
1,331 |
28.8 |
1.7 |
(25.5-32.1) |
San Diego-Carlsbad-San Marcos, California |
484 |
23.8 |
2.5 |
(18.9-28.7) |
San Francisco-Oakland-Fremont, California |
752 |
14.9 |
1.6 |
(11.8-18.0) |
Santa Fe, New Mexico |
504 |
16.4 |
2.2 |
(12.0-20.8) |
Sarasota-Bradenton-Venice, Florida |
1,261 |
18.8 |
1.6 |
(15.7-21.9) |
Scranton-Wilkes-Barre, Pennsylvania |
2,401 |
26.1 |
2.0 |
(22.1-30.1) |
Seaford, Delaware |
1,185 |
32.2 |
1.7 |
(28.8-35.6) |
Seattle-Bellevue-Everett, Washington¶ |
6,822 |
22.2 |
0.7 |
(20.9-23.5) |
Sebring, Florida |
720 |
25.5 |
2.4 |
(20.7-30.3) |
Sioux City, Iowa-Nebraska-South Dakota |
837 |
32.5 |
3.3 |
(25.9-39.1) |
Sioux Falls, South Dakota |
906 |
26.5 |
1.7 |
(23.1-29.9) |
Spokane, Washington |
1,306 |
27.4 |
1.6 |
(24.3-30.5) |
Springfield, Massachusetts |
2,417 |
26.7 |
1.5 |
(23.7-29.7) |
Tacoma, Washington¶ |
1,798 |
29.9 |
1.4 |
(27.2-32.6) |
Tallahassee, Florida |
1,981 |
27.9 |
1.8 |
(24.3-31.5) |
Tampa-St. Petersburg-Clearwater, Florida |
2,087 |
25.6 |
1.4 |
(22.9-28.3) |
Toledo, Ohio |
938 |
30.9 |
2.2 |
(26.7-35.1) |
Topeka, Kansas |
759 |
27.9 |
2.0 |
(23.9-31.9) |
Tucson, Arizona |
705 |
25.8 |
2.4 |
(21.1-30.5) |
Tulsa, Oklahoma |
1,989 |
30.1 |
1.4 |
(27.4-32.8) |
Tuscaloosa, Alabama |
503 |
32.6 |
2.9 |
(26.9-38.3) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,086 |
29.7 |
2.3 |
(25.2-34.2) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,425 |
26.7 |
1.5 |
(23.7-29.7) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,464 |
22.6 |
1.3 |
(20.1-25.1) |
Wauchula, Florida |
652 |
N/A |
N/A |
N/A |
Wenatchee, Washington |
1,006 |
25.3 |
1.9 |
(21.6-29.0) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
523 |
14.8 |
1.9 |
(11.0-18.6) |
Wichita, Kansas |
1,489 |
28.6 |
1.4 |
(25.8-31.4) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,669 |
27.7 |
1.4 |
(25.0-30.4) |
Wilmington, North Carolina |
584 |
29.4 |
2.9 |
(23.7-35.1) |
Worcester, Massachusetts |
2,581 |
24.2 |
1.3 |
(21.6-26.8) |
Yakima, Washington |
688 |
29.2 |
2.2 |
(24.9-33.5) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
993 |
28.1 |
2.6 |
(22.9-33.3) |
Yuma, Arizona |
511 |
25.3 |
2.2 |
(20.9-29.7) |
Median |
26.6 |
|||
Range |
14.8-37.6 |
|||
* Body mass index ≥30.0 kg/m². † Standard error. § Confidence interval. ¶ Metropolitan division. ** Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 42. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
599 |
25.0 |
2.5 |
(20.1--29.9) |
Martin County, Florida |
523 |
17.6 |
2.1 |
(13.6--21.6) |
Miami-Dade County, Florida |
564 |
26.6 |
2.5 |
(21.8--31.4) |
Monroe County, Florida |
480 |
19.7 |
3.1 |
(13.7--25.7) |
Nassau County, Florida |
518 |
21.7 |
2.3 |
(17.2--26.2) |
Okeechobee County, Florida |
668 |
34.5 |
3.1 |
(28.4--40.6) |
Orange County, Florida |
777 |
23.8 |
2.3 |
(19.3--28.3) |
Osceola County, Florida |
673 |
25.5 |
2.3 |
(21.0--30.0) |
Palm Beach County, Florida |
523 |
14.8 |
1.9 |
(11.0--18.6) |
Pasco County, Florida |
532 |
23.3 |
2.3 |
(18.8--27.8) |
Pinellas County, Florida |
524 |
28.4 |
2.7 |
(23.2--33.6) |
Polk County, Florida |
490 |
33.7 |
2.7 |
(28.4--39.0) |
St. Johns County, Florida |
526 |
24.6 |
2.6 |
(19.5--29.7) |
St. Lucie County, Florida |
499 |
29.9 |
2.8 |
(24.4--35.4) |
Santa Rosa County, Florida |
480 |
22.2 |
2.4 |
(17.6--26.8) |
Sarasota County, Florida |
790 |
16.6 |
2.0 |
(12.7--20.5) |
Seminole County, Florida |
511 |
24.7 |
2.3 |
(20.1--29.3) |
Volusia County, Florida |
485 |
25.7 |
2.7 |
(20.4--31.0) |
Wakulla County, Florida |
518 |
29.7 |
3.4 |
(23.0--36.4) |
Clayton County, Georgia |
316 |
28.8 |
3.6 |
(21.8--35.8) |
Cobb County, Georgia |
388 |
23.5 |
2.8 |
(18.0--29.0) |
DeKalb County, Georgia |
407 |
25.1 |
3.0 |
(19.2--31.0) |
Fulton County, Georgia |
386 |
17.6 |
2.6 |
(12.5--22.7) |
Gwinnett County, Georgia |
309 |
23.5 |
3.0 |
(17.7--29.3) |
Hawaii County, Hawaii |
1,485 |
23.7 |
1.4 |
(20.9--26.5) |
Honolulu County, Hawaii |
2,837 |
21.7 |
1.0 |
(19.8--23.6) |
Kauai County, Hawaii |
640 |
22.4 |
2.2 |
(18.2--26.6) |
Maui County, Hawaii |
1,486 |
26.0 |
1.8 |
(22.5--29.5) |
Ada County, Idaho |
610 |
22.1 |
2.0 |
(18.1--26.1) |
Bonneville County, Idaho |
365 |
25.1 |
2.7 |
(19.9--30.3) |
Canyon County, Idaho |
459 |
32.4 |
2.6 |
(27.3--37.5) |
Nez Perce County, Idaho |
256 |
32.7 |
3.5 |
(25.8--39.6) |
Cook County, Illinois |
1,587 |
24.6 |
1.4 |
(21.8--27.4) |
DuPage County, Illinois |
367 |
26.0 |
3.0 |
(20.1--31.9) |
Lake County, Illinois |
281 |
20.6 |
2.9 |
(14.9--26.3) |
Lake County, Indiana |
550 |
32.7 |
3.5 |
(25.8--39.6) |
Marion County, Indiana |
1,050 |
30.8 |
1.9 |
(27.0--34.6) |
Polk County, Iowa |
672 |
27.0 |
2.0 |
(23.1--30.9) |
Johnson County, Kansas |
1,488 |
23.3 |
1.3 |
(20.7--25.9) |
Sedgwick County, Kansas |
1,119 |
28.5 |
1.6 |
(25.3--31.7) |
Shawnee County, Kansas |
532 |
29.6 |
2.6 |
(24.5--34.7) |
Wyandotte County, Kansas |
324 |
35.5 |
3.5 |
(28.5--42.5) |
Jefferson County, Kentucky |
455 |
24.7 |
2.5 |
(19.9--29.5) |
Calcasieu Parish, Louisiana |
486 |
33.1 |
2.7 |
(27.8--38.4) |
East Baton Rouge Parish, Louisiana |
463 |
26.6 |
2.4 |
(21.8--31.4) |
Jefferson Parish, Louisiana |
397 |
32.1 |
3.0 |
(26.3--37.9) |
Orleans Parish, Louisiana |
273 |
24.5 |
3.5 |
(17.7--31.3) |
St. Tammany Parish, Louisiana |
307 |
27.4 |
3.3 |
(20.9--33.9) |
Cumberland County, Maine |
1,037 |
20.1 |
1.6 |
(17.0--23.2) |
Kennebec County, Maine |
517 |
28.8 |
2.3 |
(24.3--33.3) |
Penobscot County, Maine |
623 |
29.4 |
2.2 |
(25.1--33.7) |
Sagadahoc County, Maine |
273 |
27.5 |
3.3 |
(21.0--34.0) |
York County, Maine |
693 |
22.3 |
1.9 |
(18.6--26.0) |
Anne Arundel County, Maryland |
521 |
25.3 |
2.3 |
(20.8--29.8) |
Baltimore County, Maryland |
928 |
29.6 |
1.8 |
(26.0--33.2) |
Charles County, Maryland |
287 |
30.9 |
3.3 |
(24.4--37.4) |
Frederick County, Maryland |
505 |
25.9 |
2.3 |
(21.3--30.5) |
Harford County, Maryland |
290 |
26.6 |
3.4 |
(19.9--33.3) |
Howard County, Maryland |
325 |
20.6 |
2.6 |
(15.5--25.7) |
Montgomery County, Maryland |
1,042 |
17.4 |
1.5 |
(14.6--20.2) |
Prince George´s County, Maryland |
610 |
29.9 |
2.3 |
(25.4--34.4) |
Queen Anne´s County, Maryland |
240 |
21.5 |
3.1 |
(15.3--27.7) |
Washington County, Maryland |
416 |
32.8 |
3.0 |
(27.0--38.6) |
TABLE 42. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
473 |
31.2 |
2.5 |
(26.3--36.1) |
Barnstable County, Massachusetts |
553 |
20.9 |
2.3 |
(16.4--25.4) |
Bristol County, Massachusetts |
3,424 |
25.6 |
1.4 |
(22.8--28.4) |
Essex County, Massachusetts |
2,754 |
22.6 |
1.4 |
(19.8--25.4) |
Hampden County, Massachusetts |
1,872 |
30.9 |
1.9 |
(27.2--34.6) |
Hampshire County, Massachusetts |
349 |
19.1 |
2.9 |
(13.5--24.7) |
Middlesex County, Massachusetts |
3,717 |
20.8 |
1.0 |
(18.8--22.8) |
Norfolk County, Massachusetts |
1,189 |
17.3 |
1.4 |
(14.6--20.0) |
Plymouth County, Massachusetts |
800 |
20.7 |
1.8 |
(17.1--24.3) |
Suffolk County, Massachusetts |
2,259 |
19.6 |
1.2 |
(17.3--21.9) |
Worcester County, Massachusetts |
2,581 |
24.2 |
1.3 |
(21.6--26.8) |
Kent County, Michigan |
348 |
28.4 |
3.0 |
(22.5--34.3) |
Macomb County, Michigan |
388 |
31.4 |
2.9 |
(25.7--37.1) |
Oakland County, Michigan |
746 |
20.7 |
1.9 |
(16.9--24.5) |
Wayne County, Michigan |
1,553 |
33.4 |
1.7 |
(30.0--36.8) |
Anoka County, Minnesota |
261 |
27.5 |
3.3 |
(21.1--33.9) |
Dakota County, Minnesota |
340 |
29.2 |
3.2 |
(22.9--35.5) |
Hennepin County, Minnesota |
905 |
21.9 |
1.7 |
(18.6--25.2) |
Ramsey County, Minnesota |
395 |
29.3 |
2.9 |
(23.6--35.0) |
DeSoto County, Mississippi |
253 |
33.2 |
3.9 |
(25.5--40.9) |
Harrison County, Mississippi |
360 |
26.5 |
2.9 |
(20.8--32.2) |
Hinds County, Mississippi |
496 |
30.1 |
2.6 |
(24.9--35.3) |
Rankin County, Mississippi |
281 |
26.6 |
3.0 |
(20.7--32.5) |
Jackson County, Missouri |
472 |
28.0 |
2.4 |
(23.3--32.7) |
St. Louis County, Missouri |
442 |
27.2 |
2.8 |
(21.6--32.8) |
St. Louis City, Missouri |
458 |
29.7 |
3.0 |
(23.9--35.5) |
Flathead County, Montana |
514 |
21.5 |
2.4 |
(16.9--26.1) |
Yellowstone County, Montana |
425 |
26.9 |
2.7 |
(21.6--32.2) |
Dakota County, Nebraska |
450 |
31.9 |
2.6 |
(26.7--37.1) |
Douglas County, Nebraska |
575 |
26.0 |
2.3 |
(21.6--30.4) |
Hall County, Nebraska |
355 |
32.1 |
3.0 |
(26.3--37.9) |
Lancaster County, Nebraska |
522 |
25.5 |
2.7 |
(20.3--30.7) |
Sarpy County, Nebraska |
363 |
26.4 |
3.5 |
(19.5--33.3) |
Clark County, Nevada |
1,279 |
25.5 |
1.5 |
(22.6--28.4) |
Washoe County, Nevada |
1,295 |
19.0 |
1.3 |
(16.5--21.5) |
Grafton County, New Hampshire |
487 |
23.9 |
2.4 |
(19.3--28.5) |
Hillsborough County, New Hampshire |
1,361 |
25.7 |
1.4 |
(22.9--28.5) |
Merrimack County, New Hampshire |
611 |
24.3 |
2.1 |
(20.1--28.5) |
Rockingham County, New Hampshire |
942 |
26.7 |
1.7 |
(23.4--30.0) |
Strafford County, New Hampshire |
587 |
25.8 |
2.2 |
(21.5--30.1) |
Bergen County, New Jersey |
363 |
21.3 |
3.0 |
(15.5--27.1) |
Burlington County, New Jersey |
325 |
24.9 |
3.3 |
(18.4--31.4) |
Camden County, New Jersey |
302 |
27.4 |
3.3 |
(20.9--33.9) |
Essex County, New Jersey |
506 |
25.9 |
2.5 |
(21.0--30.8) |
Gloucester County, New Jersey |
319 |
24.5 |
3.4 |
(17.9--31.1) |
Hudson County, New Jersey |
541 |
25.4 |
2.6 |
(20.4--30.4) |
Hunterdon County, New Jersey |
349 |
15.9 |
2.7 |
(10.5--21.3) |
Middlesex County, New Jersey |
361 |
22.0 |
2.8 |
(16.6--27.4) |
Monmouth County, New Jersey |
318 |
24.7 |
3.0 |
(18.9--30.5) |
Morris County, New Jersey |
384 |
17.5 |
2.6 |
(12.4--22.6) |
Ocean County, New Jersey |
312 |
30.9 |
3.8 |
(23.5--38.3) |
Passaic County, New Jersey |
266 |
25.8 |
3.3 |
(19.4--32.2) |
Somerset County, New Jersey |
345 |
23.6 |
3.1 |
(17.6--29.6) |
Sussex County, New Jersey |
321 |
24.9 |
3.1 |
(18.9--30.9) |
Union County, New Jersey |
290 |
24.0 |
3.5 |
(17.1--30.9) |
Warren County, New Jersey |
291 |
24.8 |
3.1 |
(18.8--30.8) |
Bernalillo County, New Mexico |
1,046 |
23.0 |
1.7 |
(19.7--26.3) |
Dona Ana County, New Mexico |
669 |
31.6 |
2.4 |
(26.8--36.4) |
Sandoval County, New Mexico |
496 |
28.3 |
2.9 |
(22.5--34.1) |
San Juan County, New Mexico |
645 |
29.7 |
2.3 |
(25.1--34.3) |
Santa Fe County, New Mexico |
504 |
16.4 |
2.2 |
(12.0--20.8) |
Valencia County, New Mexico |
304 |
25.9 |
3.2 |
(19.5--32.3) |
Erie County, New York |
385 |
24.5 |
2.6 |
(19.4--29.6) |
TABLE 42. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
380 |
28.3 |
2.8 |
(22.9--33.7) |
Nassau County, New York |
354 |
21.9 |
2.9 |
(16.3--27.5) |
New York County, New York |
523 |
13.8 |
1.8 |
(10.2--17.4) |
Queens County, New York |
418 |
26.5 |
2.7 |
(21.3--31.7) |
Suffolk County, New York |
410 |
19.7 |
2.4 |
(15.1--24.3) |
Westchester County, New York |
264 |
18.2 |
2.8 |
(12.8--23.6) |
Buncombe County, North Carolina |
339 |
21.5 |
2.8 |
(16.1--26.9) |
Cabarrus County, North Carolina |
340 |
32.9 |
3.5 |
(26.0--39.8) |
Catawba County, North Carolina |
388 |
27.4 |
2.8 |
(21.9--32.9) |
Cumberland County, North Carolina |
357 |
27.2 |
3.2 |
(20.9--33.5) |
Durham County, North Carolina |
310 |
26.7 |
3.2 |
(20.5--32.9) |
Gaston County, North Carolina |
378 |
31.1 |
3.0 |
(25.3--36.9) |
Guilford County, North Carolina |
364 |
29.6 |
3.5 |
(22.7--36.5) |
Henderson County, North Carolina |
288 |
32.2 |
3.7 |
(25.0--39.4) |
Johnston County, North Carolina |
403 |
33.7 |
3.3 |
(27.3--40.1) |
Mecklenburg County, North Carolina |
643 |
26.9 |
2.2 |
(22.6--31.2) |
New Hanover County, North Carolina |
366 |
26.6 |
3.2 |
(20.3--32.9) |
Orange County, North Carolina |
335 |
17.5 |
2.7 |
(12.3--22.7) |
Randolph County, North Carolina |
351 |
28.3 |
3.0 |
(22.4--34.2) |
Union County, North Carolina |
359 |
26.4 |
3.0 |
(20.5--32.3) |
Wake County, North Carolina |
574 |
28.3 |
2.6 |
(23.1--33.5) |
Burleigh County, North Dakota |
467 |
24.1 |
2.4 |
(19.4--28.8) |
Cass County, North Dakota |
624 |
25.4 |
2.2 |
(21.0--29.8) |
Cuyahoga County, Ohio |
730 |
27.4 |
2.2 |
(23.2--31.6) |
Franklin County, Ohio |
731 |
30.6 |
2.2 |
(26.4--34.8) |
Hamilton County, Ohio |
785 |
25.2 |
1.9 |
(21.5--28.9) |
Licking County, Ohio |
243 |
30.8 |
3.7 |
(23.5--38.1) |
Lucas County, Ohio |
741 |
31.6 |
2.1 |
(27.5--35.7) |
Mahoning County, Ohio |
778 |
27.5 |
2.2 |
(23.1--31.9) |
Montgomery County, Ohio |
711 |
26.6 |
2.0 |
(22.6--30.6) |
Stark County, Ohio |
757 |
29.6 |
2.1 |
(25.4--33.8) |
Summit County, Ohio |
710 |
26.5 |
2.0 |
(22.5--30.5) |
Canadian County, Oklahoma |
237 |
23.0 |
3.1 |
(16.9--29.1) |
Cleveland County, Oklahoma |
397 |
30.5 |
2.9 |
(24.9--36.1) |
Oklahoma County, Oklahoma |
1,201 |
28.0 |
1.5 |
(25.0--31.0) |
Tulsa County, Oklahoma |
1,420 |
27.4 |
1.5 |
(24.4--30.4) |
Clackamas County, Oregon |
456 |
27.7 |
2.6 |
(22.6--32.8) |
Multnomah County, Oregon |
785 |
24.2 |
1.9 |
(20.4--28.0) |
Washington County, Oregon |
533 |
26.9 |
2.4 |
(22.2--31.6) |
Allegheny County, Pennsylvania |
617 |
27.9 |
2.4 |
(23.3--32.5) |
Delaware County, Pennsylvania |
262 |
30.4 |
3.5 |
(23.5--37.3) |
Fayette County, Pennsylvania |
1,542 |
31.5 |
1.9 |
(27.9--35.1) |
Luzerne County, Pennsylvania |
2,222 |
24.7 |
1.5 |
(21.7--27.7) |
Montgomery County, Pennsylvania |
317 |
22.0 |
3.0 |
(16.2--27.8) |
Philadelphia County, Pennsylvania |
1,732 |
30.0 |
2.5 |
(25.1--34.9) |
Westmoreland County, Pennsylvania |
275 |
24.6 |
3.7 |
(17.3--31.9) |
Kent County, Rhode Island |
620 |
22.4 |
2.1 |
(18.2--26.6) |
Newport County, Rhode Island |
340 |
18.7 |
2.3 |
(14.1--23.3) |
Providence County, Rhode Island |
2,599 |
24.0 |
1.1 |
(21.8--26.2) |
Washington County, Rhode Island |
490 |
18.7 |
2.2 |
(14.4--23.0) |
Aiken County, South Carolina |
655 |
32.6 |
2.3 |
(28.2--37.0) |
Beaufort County, South Carolina |
815 |
17.2 |
1.8 |
(13.6--20.8) |
Berkeley County, South Carolina |
317 |
29.4 |
3.0 |
(23.4--35.4) |
Charleston County, South Carolina |
653 |
23.6 |
2.4 |
(18.8--28.4) |
Dorchester County, South Carolina |
243 |
31.5 |
3.6 |
(24.4--38.6) |
Greenville County, South Carolina |
531 |
24.2 |
2.4 |
(19.5--28.9) |
Horry County, South Carolina |
855 |
28.5 |
2.0 |
(24.5--32.5) |
Lexington County, South Carolina |
315 |
23.7 |
2.8 |
(18.3--29.1) |
Richland County, South Carolina |
414 |
29.7 |
2.7 |
(24.4--35.0) |
York County, South Carolina |
262 |
32.4 |
3.5 |
(25.6--39.2) |
Minnehaha County, South Dakota |
676 |
27.0 |
2.0 |
(23.0--31.0) |
Pennington County, South Dakota |
736 |
25.4 |
2.1 |
(21.3--29.5) |
Davidson County, Tennessee |
265 |
27.9 |
3.8 |
(20.5--35.3) |
TABLE 42. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
646 |
25.3 |
2.3 |
(20.8--29.8) |
Shelby County, Tennessee |
283 |
34.6 |
3.6 |
(27.6--41.6) |
Sullivan County, Tennessee |
395 |
27.9 |
2.8 |
(22.4--33.4) |
Bexar County, Texas |
993 |
29.1 |
2.0 |
(25.2--33.0) |
Cameron County, Texas |
563 |
30.5 |
2.4 |
(25.8--35.2) |
Collin County, Texas |
246 |
17.1 |
2.9 |
(11.5--22.7) |
Dallas County, Texas |
780 |
22.2 |
2.0 |
(18.4--26.0) |
Denton County, Texas |
245 |
25.4 |
3.4 |
(18.8--32.0) |
El Paso County, Texas |
1,366 |
27.8 |
1.6 |
(24.7--30.9) |
Harris County, Texas |
906 |
27.5 |
2.3 |
(23.1--31.9) |
Hidalgo County, Texas |
853 |
37.6 |
2.4 |
(33.0--42.2) |
Tarrant County, Texas |
1,074 |
27.4 |
1.7 |
(24.1--30.7) |
Travis County, Texas |
743 |
19.1 |
1.8 |
(15.5--22.7) |
Webb County, Texas |
446 |
35.8 |
3.0 |
(29.9--41.7) |
Williamson County, Texas |
349 |
26.8 |
3.3 |
(20.4--33.2) |
Davis County, Utah |
406 |
20.1 |
2.1 |
(15.9--24.3) |
Salt Lake County, Utah |
1,551 |
23.5 |
1.3 |
(21.0--26.0) |
Tooele County, Utah |
239 |
30.1 |
3.8 |
(22.7--37.5) |
Utah County, Utah |
516 |
27.1 |
2.4 |
(22.3--31.9) |
Weber County, Utah |
387 |
24.6 |
2.4 |
(19.8--29.4) |
Chittenden County, Vermont |
1,364 |
16.5 |
1.1 |
(14.2--18.8) |
Franklin County, Vermont |
450 |
28.4 |
2.5 |
(23.4--33.4) |
Orange County, Vermont |
357 |
26.6 |
2.7 |
(21.3--31.9) |
Rutland County, Vermont |
652 |
24.7 |
2.0 |
(20.8--28.6) |
Washington County, Vermont |
667 |
23.1 |
2.0 |
(19.2--27.0) |
Windsor County, Vermont |
687 |
21.7 |
1.8 |
(18.2--25.2) |
Arlington County, Virginia |
287 |
18.3 |
3.2 |
(12.1--24.5) |
Fairfax County, Virginia |
239 |
15.0 |
4.0 |
(7.1--22.9) |
Prince William County, Virginia |
259 |
27.9 |
3.4 |
(21.3--34.5) |
Alexandria city, Virginia |
253 |
16.9 |
3.5 |
(10.0--23.8) |
Benton County, Washington |
418 |
31.1 |
2.9 |
(25.3--36.9) |
Chelan County, Washington |
513 |
24.9 |
2.5 |
(20.1--29.7) |
Clark County, Washington |
1,602 |
30.0 |
1.5 |
(27.1--32.9) |
Douglas County, Washington |
493 |
24.8 |
2.4 |
(20.2--29.4) |
King County, Washington |
4,230 |
20.4 |
0.8 |
(18.9--21.9) |
Kitsap County, Washington |
959 |
29.1 |
1.9 |
(25.3--32.9) |
Pierce County, Washington |
1,798 |
29.5 |
1.3 |
(26.9--32.1) |
Snohomish County, Washington |
2,592 |
27.9 |
1.1 |
(25.8--30.0) |
Spokane County, Washington |
1,306 |
27.4 |
1.6 |
(24.3--30.5) |
Thurston County, Washington |
1,774 |
27.3 |
1.3 |
(24.7--29.9) |
Whatcom County, Washington |
1,091 |
26.9 |
1.9 |
(23.2--30.6) |
Yakima County, Washington |
688 |
29.2 |
2.2 |
(24.9--33.5) |
Kanawha County, West Virginia |
480 |
30.2 |
2.5 |
(25.4--35.0) |
Milwaukee County, Wisconsin |
1,108 |
26.3 |
2.5 |
(21.3--31.3) |
Fremont County, Wyoming |
485 |
30.0 |
2.6 |
(24.9--35.1) |
Laramie County, Wyoming |
875 |
24.7 |
1.8 |
(21.1--28.3) |
Natrona County, Wyoming |
721 |
28.3 |
2.2 |
(24.0--32.6) |
Median |
26.0 |
|||
Range |
13.8--37.6 |
|||
* Body mass index ≥30.0 kg/m². † Standard error. § Confidence interval. ¶ Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 44. (Continued) Estimated prevalence of adults aged ≥18 years who have been told by a doctor that they have diabetes,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Grand Island, Nebraska |
566 |
7.0 |
1.0 |
(5.0--8.9) |
Grand Rapids-Wyoming, Michigan |
507 |
6.5 |
1.1 |
(4.3--8.6) |
Greeley, Colorado |
538 |
4.9 |
0.8 |
(3.3--6.4) |
Greensboro-High Point, North Carolina |
830 |
9.7 |
1.2 |
(7.3--12.0) |
Greenville, South Carolina |
887 |
8.3 |
0.9 |
(6.5--10.0) |
Gulfport-Biloxi, Mississippi |
505 |
14.6 |
1.9 |
(10.8--18.3) |
Hagerstown-Martinsburg, Maryland-West Virginia |
711 |
7.6 |
1.0 |
(5.6--9.5) |
Hartford-West Hartford-East Hartford, Connecticut |
2,372 |
7.2 |
0.6 |
(6.0--8.3) |
Hickory-Morganton-Lenoir, North Carolina |
868 |
8.5 |
1.1 |
(6.3--10.6) |
Hilo, Hawaii |
1,519 |
7.0 |
0.7 |
(5.6--8.3) |
Hilton Head Island-Beaufort, South Carolina |
946 |
7.8 |
1.1 |
(5.6--9.9) |
Homosassa Springs, Florida |
583 |
10.6 |
1.4 |
(7.8--13.3) |
Honolulu, Hawaii |
2,919 |
8.0 |
0.6 |
(6.8--9.1) |
Houston-Sugar Land-Baytown, Texas |
1,561 |
9.2 |
0.9 |
(7.4--10.9) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
600 |
10.9 |
1.4 |
(8.1--13.6) |
Idaho Falls, Idaho |
506 |
7.1 |
1.1 |
(4.9--9.2) |
Indianapolis-Carmel, Indiana |
1,577 |
7.8 |
0.8 |
(6.2--9.3) |
Jackson, Mississippi |
1,164 |
9.4 |
0.9 |
(7.6--11.1) |
Jacksonville, Florida |
4,013 |
9.4 |
0.6 |
(8.2--10.5) |
Kahului-Wailuku, Hawaii |
1,509 |
7.9 |
0.9 |
(6.1--9.6) |
Kalispell, Montana |
556 |
5.6 |
1.1 |
(3.4--7.7) |
Kansas City, Missouri-Kansas |
3,361 |
7.5 |
0.5 |
(6.5--8.4) |
Kapaa, Hawaii |
651 |
7.2 |
1.1 |
(5.0--9.3) |
Kennewick-Richland-Pasco, Washington |
682 |
6.4 |
1.0 |
(4.4--8.3) |
Key West-Marathon, Florida |
506 |
11.5 |
2.7 |
(6.2--16.7) |
Kingsport-Bristol, Tennessee-Virginia |
594 |
12.4 |
1.7 |
(9.0--15.7) |
Lake Charles, Louisiana |
540 |
9.2 |
1.3 |
(6.6--11.7) |
Lake City, Florida |
587 |
11.5 |
2.0 |
(7.5--15.4) |
Lakeland-Winter Haven, Florida |
527 |
9.8 |
1.4 |
(7.0--12.5) |
Laredo, Texas |
509 |
16.5 |
2.4 |
(11.7--21.2) |
Las Cruces, New Mexico |
712 |
8.3 |
1.0 |
(6.3--10.2) |
Las Vegas-Paradise, Nevada |
1,370 |
8.5 |
0.8 |
(6.9--10.0) |
Lebanon, New Hampshire-Vermont |
1,611 |
6.2 |
0.6 |
(5.0--7.3) |
Lewiston, Idaho-Washington |
521 |
11.9 |
1.8 |
(8.3--15.4) |
Lincoln, Nebraska |
713 |
6.2 |
1.0 |
(4.2--8.1) |
Little Rock-North Little Rock, Arkansas |
1,247 |
7.5 |
0.8 |
(5.9--9.0) |
Los Angeles-Long Beach-Glendale, California¶ |
868 |
7.3 |
0.9 |
(5.5--9.0) |
Louisville, Kentucky-Indiana |
865 |
10.2 |
1.2 |
(7.8--12.5) |
Manchester-Nashua, New Hampshire |
1,441 |
6.1 |
0.6 |
(4.9--7.2) |
McAllen-Edinburg-Mission, Texas |
958 |
12.9 |
1.2 |
(10.5--15.2) |
Memphis, Tennessee-Mississippi-Arkansas |
988 |
11.0 |
1.4 |
(8.2--13.7) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,171 |
7.7 |
0.8 |
(6.1--9.2) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,542 |
5.1 |
0.7 |
(3.7--6.4) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,743 |
5.7 |
0.4 |
(4.9--6.4) |
Mobile, Alabama |
581 |
12.9 |
1.8 |
(9.3--16.4) |
Montgomery, Alabama |
514 |
9.9 |
1.7 |
(6.5--13.2) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
914 |
9.1 |
1.1 |
(6.9--11.2) |
Naples-Marco Island, Florida |
820 |
8.5 |
1.3 |
(5.9--11.0) |
Nashville-Davidson-Murfreesboro, Tennessee |
605 |
9.0 |
1.3 |
(6.4--11.5) |
Nassau-Suffolk, New York¶ |
813 |
6.4 |
0.8 |
(4.8--7.9) |
Newark-Union, New Jersey-Pennsylvania¶ |
2,013 |
8.4 |
0.8 |
(6.8--9.9) |
New Haven-Milford, Connecticut |
1,795 |
7.7 |
0.9 |
(5.9--9.4) |
New Orleans-Metairie-Kenner, Louisiana |
1,242 |
9.4 |
0.9 |
(7.6--11.1) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,418 |
8.1 |
0.6 |
(6.9--9.2) |
Nogales, Arizona |
528 |
10.9 |
2.7 |
(5.6--16.1) |
Norwich-New London, Connecticut |
501 |
6.9 |
1.1 |
(4.7--9.0) |
Ocala, Florida |
633 |
12.7 |
1.6 |
(9.5--15.8) |
Ogden-Clearfield, Utah |
842 |
4.9 |
0.7 |
(3.5--6.2) |
Okeechobee, Florida |
729 |
11.3 |
1.8 |
(7.7--14.8) |
Oklahoma City, Oklahoma |
2,288 |
8.7 |
0.7 |
(7.3--10.0) |
Olympia, Washington |
1,877 |
7.3 |
0.6 |
(6.1--8.4) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,549 |
7.0 |
0.8 |
(5.4--8.5) |
Orlando-Kissimmee, Florida |
2,701 |
9.1 |
0.8 |
(7.5--10.6) |
Palm Bay-Melbourne-Titusville, Florida |
558 |
12.5 |
1.7 |
(9.1--15.8) |
Palm Coast, Florida |
537 |
10.3 |
1.7 |
(6.9--13.6) |
TABLE 44. (Continued) Estimated prevalence of adults aged ≥18 years who have been told by a doctor that they have diabetes,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Panama City-Lynn Haven, Florida |
546 |
12.3 |
2.6 |
(7.2--17.3) |
Pensacola-Ferry Pass-Brent, Florida |
1,035 |
8.8 |
0.9 |
(7.0--10.5) |
Philadelphia, Pennsylvania¶ |
2,878 |
8.6 |
0.8 |
(7.0--10.1) |
Phoenix-Mesa-Scottsdale, Arizona |
1,285 |
8.2 |
1.0 |
(6.2--10.1) |
Pittsburgh, Pennsylvania |
2,963 |
8.4 |
0.7 |
(7.0--9.7) |
Portland-South Portland-Biddeford, Maine |
2,101 |
6.7 |
0.6 |
(5.5--7.8) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,975 |
6.8 |
0.5 |
(5.8--7.7) |
Port St. Lucie-Fort Pierce, Florida |
1,084 |
7.4 |
0.9 |
(5.6--9.1) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,160 |
7.6 |
0.3 |
(7.0--8.1) |
Provo-Orem, Utah |
585 |
4.8 |
0.9 |
(3.0--6.5) |
Raleigh-Cary, North Carolina |
1,089 |
6.6 |
0.9 |
(4.8--8.3) |
Rapid City, South Dakota |
980 |
5.7 |
0.8 |
(4.1--7.2) |
Reno-Sparks, Nevada |
1,400 |
6.5 |
0.7 |
(5.1--7.8) |
Richmond, Virginia |
861 |
8.8 |
1.2 |
(6.4--11.1) |
Riverside-San Bernardino-Ontario, California |
685 |
9.3 |
1.3 |
(6.7--11.8) |
Riverton, Wyoming |
501 |
9.7 |
1.4 |
(6.9--12.4) |
Rockingham County-Strafford County, New Hampshire¶ |
1,620 |
8.2 |
0.8 |
(6.6--9.7) |
Rutland, Vermont |
684 |
7.3 |
1.0 |
(5.3--9.2) |
St. Louis, Missouri-Illinois |
1,569 |
8.4 |
0.9 |
(6.6--10.1) |
Salt Lake City, Utah |
2,146 |
5.7 |
0.5 |
(4.7--6.6) |
San Antonio, Texas |
1,424 |
9.6 |
0.8 |
(8.0--11.1) |
San Diego-Carlsbad-San Marcos, California |
512 |
7.8 |
1.2 |
(5.4--10.1) |
San Francisco-Oakland-Fremont, California |
780 |
5.5 |
0.9 |
(3.7--7.2) |
Santa Fe, New Mexico |
525 |
5.9 |
1.2 |
(3.5--8.2) |
Sarasota-Bradenton-Venice, Florida |
1,338 |
7.7 |
0.9 |
(5.9--9.4) |
Scranton-Wilkes-Barre, Pennsylvania |
2,524 |
9.3 |
1.1 |
(7.1--11.4) |
Seaford, Delaware |
1,238 |
11.4 |
1.0 |
(9.4--13.3) |
Seattle-Bellevue-Everett, Washington¶ |
7,178 |
6.3 |
0.4 |
(5.5--7.0) |
Sebring, Florida |
766 |
11.8 |
1.4 |
(9.0--14.5) |
Sioux City, Iowa-Nebraska-South Dakota |
893 |
8.7 |
1.6 |
(5.5--11.8) |
Sioux Falls, South Dakota |
978 |
6.1 |
0.8 |
(4.5--7.6) |
Spokane, Washington |
1,374 |
6.2 |
0.6 |
(5.0--7.3) |
Springfield, Massachusetts |
2,592 |
8.7 |
0.8 |
(7.1--10.2) |
Tacoma, Washington¶ |
1,906 |
8.4 |
0.8 |
(6.8--9.9) |
Tallahassee, Florida |
2,104 |
8.4 |
0.9 |
(6.6--10.1) |
Tampa-St. Petersburg-Clearwater, Florida |
2,189 |
8.5 |
0.7 |
(7.1--9.8) |
Toledo, Ohio |
992 |
9.4 |
1.1 |
(7.2--11.5) |
Topeka, Kansas |
786 |
7.3 |
1.1 |
(5.1--9.4) |
Tucson, Arizona |
748 |
8.8 |
1.3 |
(6.2--11.3) |
Tulsa, Oklahoma |
2,107 |
9.6 |
0.8 |
(8.0--11.1) |
Tuscaloosa, Alabama |
540 |
10.5 |
1.5 |
(7.5--13.4) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,155 |
8.4 |
0.9 |
(6.6--10.1) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,494 |
6.7 |
0.7 |
(5.3--8.0) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,809 |
6.8 |
0.5 |
(5.8--7.7) |
Wauchula, Florida |
696 |
13.8 |
2.6 |
(8.7--18.8) |
Wenatchee, Washington |
1,076 |
7.1 |
0.9 |
(5.3--8.8) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
548 |
9.0 |
1.6 |
(5.8--12.1) |
Wichita, Kansas |
1,564 |
8.2 |
0.7 |
(6.8--9.5) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,769 |
8.4 |
0.7 |
(7.0--9.7) |
Wilmington, North Carolina |
615 |
8.9 |
1.3 |
(6.3--11.4) |
Worcester, Massachusetts |
2,758 |
7.0 |
0.6 |
(5.8--8.1) |
Yakima, Washington |
751 |
10.4 |
1.2 |
(8.0--12.7) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,046 |
9.3 |
1.4 |
(6.5--12.0) |
Yuma, Arizona |
564 |
11.5 |
1.4 |
(8.7--14.2) |
Median |
8.4 |
|||
Range |
2.2--16.5 |
|||
* Did not include gestational diabetes, pre-diabetes or borderline diabetes. † Standard error. § Confidence interval. ¶ Metropolitan division. |
TABLE 45. (Continued) Estimated prevalence of adults aged ≥18 years who have been told by a doctor that they have diabetes,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
633 |
12.7 |
1.6 |
(9.5--15.8) |
Martin County, Florida |
550 |
8.2 |
1.3 |
(5.6--10.7) |
Miami-Dade County, Florida |
613 |
7.6 |
1.1 |
(5.4--9.7) |
Monroe County, Florida |
506 |
11.5 |
2.7 |
(6.2--16.7) |
Nassau County, Florida |
545 |
8.1 |
1.2 |
(5.7--10.4) |
Okeechobee County, Florida |
729 |
11.3 |
1.8 |
(7.7--14.8) |
Orange County, Florida |
825 |
8.6 |
1.5 |
(5.6--11.5) |
Osceola County, Florida |
719 |
10.0 |
1.3 |
(7.4--12.5) |
Palm Beach County, Florida |
548 |
9.0 |
1.6 |
(5.8--12.1) |
Pasco County, Florida |
556 |
8.5 |
1.1 |
(6.3--10.6) |
Pinellas County, Florida |
544 |
8.7 |
1.2 |
(6.3--11.0) |
Polk County, Florida |
527 |
9.8 |
1.4 |
(7.0--12.5) |
St. Johns County, Florida |
565 |
9.0 |
1.6 |
(5.8--12.1) |
St. Lucie County, Florida |
534 |
6.7 |
1.1 |
(4.5--8.8) |
Santa Rosa County, Florida |
504 |
8.4 |
1.4 |
(5.6--11.1) |
Sarasota County, Florida |
833 |
8.0 |
1.2 |
(5.6--10.3) |
Seminole County, Florida |
538 |
7.4 |
1.2 |
(5.0--9.7) |
Volusia County, Florida |
512 |
8.2 |
1.3 |
(5.6--10.7) |
Wakulla County, Florida |
553 |
11.4 |
2.8 |
(5.9--16.8) |
Clayton County, Georgia |
343 |
9.7 |
1.6 |
(6.5--12.8) |
Cobb County, Georgia |
411 |
6.3 |
1.2 |
(3.9--8.6) |
DeKalb County, Georgia |
430 |
8.2 |
1.5 |
(5.2--11.1) |
Fulton County, Georgia |
412 |
6.4 |
1.3 |
(3.8--8.9) |
Gwinnett County, Georgia |
319 |
6.4 |
1.4 |
(3.6--9.1) |
Hawaii County, Hawaii |
1,519 |
7.0 |
0.7 |
(5.6--8.3) |
Honolulu County, Hawaii |
2,919 |
8.0 |
0.6 |
(6.8--9.1) |
Kauai County, Hawaii |
651 |
7.2 |
1.1 |
(5.0--9.3) |
Maui County, Hawaii |
1,509 |
7.9 |
0.9 |
(6.1--9.6) |
Ada County, Idaho |
649 |
6.7 |
1.0 |
(4.7--8.6) |
Bonneville County, Idaho |
392 |
7.0 |
1.2 |
(4.6--9.3) |
Canyon County, Idaho |
488 |
10.1 |
1.4 |
(7.3--12.8) |
Nez Perce County, Idaho |
274 |
12.5 |
2.5 |
(7.6--17.4) |
Cook County, Illinois |
1,656 |
9.9 |
0.9 |
(8.1--11.6) |
DuPage County, Illinois |
381 |
5.5 |
1.1 |
(3.3--7.6) |
Lake County, Illinois |
295 |
5.3 |
1.3 |
(2.7--7.8) |
Lake County, Indiana |
573 |
11.2 |
1.9 |
(7.4--14.9) |
Marion County, Indiana |
1,125 |
8.6 |
1.0 |
(6.6--10.5) |
Polk County, Iowa |
732 |
8.3 |
1.1 |
(6.1--10.4) |
Johnson County, Kansas |
1,547 |
6.2 |
0.7 |
(4.8--7.5) |
Sedgwick County, Kansas |
1,178 |
7.4 |
0.8 |
(5.8--8.9) |
Shawnee County, Kansas |
553 |
8.0 |
1.5 |
(5.0--10.9) |
Wyandotte County, Kansas |
350 |
8.6 |
1.5 |
(5.6--11.5) |
Jefferson County, Kentucky |
478 |
9.5 |
1.4 |
(6.7--12.2) |
Calcasieu Parish, Louisiana |
518 |
9.0 |
1.4 |
(6.2--11.7) |
East Baton Rouge Parish, Louisiana |
507 |
8.8 |
1.3 |
(6.2--11.3) |
Jefferson Parish, Louisiana |
423 |
12.3 |
1.7 |
(8.9--15.6) |
Orleans Parish, Louisiana |
295 |
7.3 |
1.6 |
(4.1--10.4) |
St. Tammany Parish, Louisiana |
333 |
7.5 |
1.7 |
(4.1--10.8) |
Cumberland County, Maine |
1,086 |
5.9 |
0.8 |
(4.3--7.4) |
Kennebec County, Maine |
549 |
8.2 |
1.3 |
(5.6--10.7) |
Penobscot County, Maine |
657 |
7.0 |
1.0 |
(5.0--8.9) |
Sagadahoc County, Maine |
280 |
6.3 |
1.7 |
(2.9--9.6) |
York County, Maine |
735 |
7.7 |
1.0 |
(5.7--9.6) |
Anne Arundel County, Maryland |
557 |
6.0 |
1.0 |
(4.0--7.9) |
Baltimore County, Maryland |
984 |
8.3 |
0.9 |
(6.5--10.0) |
Charles County, Maryland |
298 |
8.3 |
1.7 |
(4.9--11.6) |
Frederick County, Maryland |
543 |
7.8 |
1.3 |
(5.2--10.3) |
Harford County, Maryland |
307 |
8.9 |
1.6 |
(5.7--12.0) |
Howard County, Maryland |
339 |
5.2 |
1.2 |
(2.8--7.5) |
Montgomery County, Maryland |
1,101 |
5.9 |
0.8 |
(4.3--7.4) |
Prince George´s County, Maryland |
647 |
10.1 |
1.2 |
(7.7--12.4) |
Queen Anne´s County, Maryland |
256 |
4.3 |
1.2 |
(1.9--6.6) |
Washington County, Maryland |
442 |
10.9 |
1.7 |
(7.5--14.2) |
TABLE 45. (Continued) Estimated prevalence of adults aged ≥18 years who have been told by a doctor that they have diabetes,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
501 |
11.2 |
1.5 |
(8.2--14.1) |
Barnstable County, Massachusetts |
585 |
5.8 |
0.9 |
(4.0--7.5) |
Bristol County, Massachusetts |
3,667 |
8.5 |
0.6 |
(7.3--9.6) |
Essex County, Massachusetts |
2,976 |
6.2 |
0.6 |
(5.0--7.3) |
Hampden County, Massachusetts |
2,018 |
10.9 |
1.1 |
(8.7--13.0) |
Hampshire County, Massachusetts |
367 |
4.7 |
1.1 |
(2.5--6.8) |
Middlesex County, Massachusetts |
3,965 |
6.2 |
0.5 |
(5.2--7.1) |
Norfolk County, Massachusetts |
1,259 |
7.3 |
0.8 |
(5.7--8.8) |
Plymouth County, Massachusetts |
844 |
7.7 |
1.1 |
(5.5--9.8) |
Suffolk County, Massachusetts |
2,397 |
8.2 |
0.7 |
(6.8--9.5) |
Worcester County, Massachusetts |
2,758 |
7.0 |
0.6 |
(5.8--8.1) |
Kent County, Michigan |
378 |
6.3 |
1.3 |
(3.7--8.8) |
Macomb County, Michigan |
409 |
8.8 |
1.4 |
(6.0--11.5) |
Oakland County, Michigan |
783 |
5.7 |
0.9 |
(3.9--7.4) |
Wayne County, Michigan |
1,655 |
10.6 |
0.9 |
(8.8--12.3) |
Anoka County, Minnesota |
271 |
5.6 |
1.3 |
(3.0--8.1) |
Dakota County, Minnesota |
348 |
6.8 |
1.5 |
(3.8--9.7) |
Hennepin County, Minnesota |
942 |
5.2 |
0.8 |
(3.6--6.7) |
Ramsey County, Minnesota |
412 |
8.6 |
1.6 |
(5.4--11.7) |
DeSoto County, Mississippi |
262 |
10.5 |
1.8 |
(6.9--14.0) |
Harrison County, Mississippi |
384 |
16.1 |
2.2 |
(11.7--20.4) |
Hinds County, Mississippi |
524 |
8.8 |
1.4 |
(6.0--11.5) |
Rankin County, Mississippi |
298 |
9.1 |
1.6 |
(5.9--12.2) |
Jackson County, Missouri |
496 |
7.0 |
1.1 |
(4.8--9.1) |
St. Louis County, Missouri |
458 |
8.5 |
1.6 |
(5.3--11.6) |
St. Louis City, Missouri |
470 |
9.8 |
1.9 |
(6.0--13.5) |
Flathead County, Montana |
556 |
5.6 |
1.1 |
(3.4--7.7) |
Yellowstone County, Montana |
449 |
7.0 |
1.2 |
(4.6--9.3) |
Dakota County, Nebraska |
483 |
7.0 |
1.3 |
(4.4--9.5) |
Douglas County, Nebraska |
604 |
7.7 |
1.2 |
(5.3--10.0) |
Hall County, Nebraska |
378 |
7.9 |
1.3 |
(5.3--10.4) |
Lancaster County, Nebraska |
551 |
6.4 |
1.0 |
(4.4--8.3) |
Sarpy County, Nebraska |
384 |
3.7 |
1.0 |
(1.7--5.6) |
Clark County, Nevada |
1,370 |
8.5 |
0.8 |
(6.9--10.0) |
Washoe County, Nevada |
1,377 |
6.5 |
0.7 |
(5.1--7.8) |
Grafton County, New Hampshire |
512 |
5.4 |
1.0 |
(3.4--7.3) |
Hillsborough County, New Hampshire |
1,441 |
6.1 |
0.6 |
(4.9--7.2) |
Merrimack County, New Hampshire |
649 |
8.1 |
1.1 |
(5.9--10.2) |
Rockingham County, New Hampshire |
997 |
7.7 |
0.9 |
(5.9--9.4) |
Strafford County, New Hampshire |
623 |
8.9 |
1.3 |
(6.3--11.4) |
Bergen County, New Jersey |
385 |
11.4 |
2.0 |
(7.4--15.3) |
Burlington County, New Jersey |
345 |
7.4 |
1.3 |
(4.8--9.9) |
Camden County, New Jersey |
325 |
8.6 |
1.9 |
(4.8--12.3) |
Essex County, New Jersey |
542 |
12.0 |
1.6 |
(8.8--15.1) |
Gloucester County, New Jersey |
338 |
10.6 |
1.8 |
(7.0--14.1) |
Hudson County, New Jersey |
575 |
9.3 |
1.3 |
(6.7--11.8) |
Hunterdon County, New Jersey |
368 |
5.5 |
1.3 |
(2.9--8.0) |
Middlesex County, New Jersey |
385 |
8.2 |
1.6 |
(5.0--11.3) |
Monmouth County, New Jersey |
329 |
7.7 |
1.6 |
(4.5--10.8) |
Morris County, New Jersey |
419 |
5.1 |
1.0 |
(3.1--7.0) |
Ocean County, New Jersey |
331 |
7.5 |
1.6 |
(4.3--10.6) |
Passaic County, New Jersey |
283 |
9.4 |
1.8 |
(5.8--12.9) |
Somerset County, New Jersey |
361 |
7.0 |
1.6 |
(3.8--10.1) |
Sussex County, New Jersey |
337 |
6.4 |
1.5 |
(3.4--9.3) |
Union County, New Jersey |
313 |
8.1 |
1.7 |
(4.7--11.4) |
Warren County, New Jersey |
310 |
8.0 |
1.5 |
(5.0--10.9) |
Bernalillo County, New Mexico |
1,103 |
6.8 |
0.8 |
(5.2--8.3) |
Dona Ana County, New Mexico |
712 |
8.3 |
1.0 |
(6.3--10.2) |
Sandoval County, New Mexico |
508 |
8.8 |
1.6 |
(5.6--11.9) |
San Juan County, New Mexico |
682 |
6.1 |
1.0 |
(4.1--8.0) |
Santa Fe County, New Mexico |
525 |
5.9 |
1.2 |
(3.5--8.2) |
Valencia County, New Mexico |
316 |
12.4 |
2.3 |
(7.8--16.9) |
Erie County, New York |
405 |
11.0 |
1.7 |
(7.6--14.3) |
TABLE 45. (Continued) Estimated prevalence of adults aged ≥18 years who have been told by a doctor that they have diabetes,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
416 |
9.3 |
1.6 |
(6.1--12.4) |
Nassau County, New York |
377 |
7.4 |
1.3 |
(4.8--9.9) |
New York County, New York |
566 |
5.2 |
1.0 |
(3.2--7.1) |
Queens County, New York |
442 |
8.1 |
1.4 |
(5.3--10.8) |
Suffolk County, New York |
436 |
5.6 |
1.0 |
(3.6--7.5) |
Westchester County, New York |
280 |
5.8 |
1.4 |
(3.0--8.5) |
Buncombe County, North Carolina |
355 |
10.6 |
1.8 |
(7.0--14.1) |
Cabarrus County, North Carolina |
359 |
10.1 |
1.6 |
(6.9--13.2) |
Catawba County, North Carolina |
409 |
9.0 |
1.7 |
(5.6--12.3) |
Cumberland County, North Carolina |
379 |
10.7 |
1.6 |
(7.5--13.8) |
Durham County, North Carolina |
333 |
9.1 |
1.9 |
(5.3--12.8) |
Gaston County, North Carolina |
390 |
11.7 |
1.7 |
(8.3--15.0) |
Guilford County, North Carolina |
387 |
9.8 |
1.7 |
(6.4--13.1) |
Henderson County, North Carolina |
296 |
10.1 |
2.2 |
(5.7--14.4) |
Johnston County, North Carolina |
437 |
9.0 |
1.7 |
(5.6--12.3) |
Mecklenburg County, North Carolina |
684 |
7.5 |
1.1 |
(5.3--9.6) |
New Hanover County, North Carolina |
389 |
9.3 |
1.6 |
(6.1--12.4) |
Orange County, North Carolina |
346 |
5.0 |
1.1 |
(2.8--7.1) |
Randolph County, North Carolina |
374 |
10.6 |
1.7 |
(7.2--13.9) |
Union County, North Carolina |
376 |
6.9 |
1.4 |
(4.1--9.6) |
Wake County, North Carolina |
606 |
6.2 |
1.0 |
(4.2--8.1) |
Burleigh County, North Dakota |
499 |
4.5 |
0.8 |
(2.9--6.0) |
Cass County, North Dakota |
677 |
6.7 |
0.9 |
(4.9--8.4) |
Cuyahoga County, Ohio |
766 |
9.0 |
1.1 |
(6.8--11.1) |
Franklin County, Ohio |
760 |
7.9 |
1.0 |
(5.9--9.8) |
Hamilton County, Ohio |
831 |
9.4 |
1.1 |
(7.2--11.5) |
Licking County, Ohio |
254 |
11.6 |
2.1 |
(7.4--15.7) |
Lucas County, Ohio |
788 |
9.7 |
1.2 |
(7.3--12.0) |
Mahoning County, Ohio |
821 |
9.5 |
1.1 |
(7.3--11.6) |
Montgomery County, Ohio |
750 |
10.5 |
1.2 |
(8.1--12.8) |
Stark County, Ohio |
797 |
10.5 |
1.2 |
(8.1--12.8) |
Summit County, Ohio |
753 |
10.8 |
1.2 |
(8.4--13.1) |
Canadian County, Oklahoma |
250 |
8.5 |
1.8 |
(4.9--12.0) |
Cleveland County, Oklahoma |
414 |
6.5 |
1.3 |
(3.9--9.0) |
Oklahoma County, Oklahoma |
1,285 |
9.1 |
0.9 |
(7.3--10.8) |
Tulsa County, Oklahoma |
1,518 |
9.0 |
0.8 |
(7.4--10.5) |
Clackamas County, Oregon |
484 |
8.2 |
1.4 |
(5.4--10.9) |
Multnomah County, Oregon |
820 |
6.2 |
0.8 |
(4.6--7.7) |
Washington County, Oregon |
558 |
7.2 |
1.2 |
(4.8--9.5) |
Allegheny County, Pennsylvania |
643 |
7.4 |
1.0 |
(5.4--9.3) |
Delaware County, Pennsylvania |
274 |
6.9 |
1.6 |
(3.7--10.0) |
Fayette County, Pennsylvania |
1,631 |
12.7 |
1.7 |
(9.3--16.0) |
Luzerne County, Pennsylvania |
2,334 |
9.1 |
1.0 |
(7.1--11.0) |
Montgomery County, Pennsylvania |
338 |
7.2 |
1.6 |
(4.0--10.3) |
Philadelphia County, Pennsylvania |
1,822 |
12.2 |
1.6 |
(9.0--15.3) |
Westmoreland County, Pennsylvania |
295 |
9.3 |
2.1 |
(5.1--13.4) |
Kent County, Rhode Island |
657 |
8.1 |
1.1 |
(5.9--10.2) |
Newport County, Rhode Island |
363 |
7.0 |
1.3 |
(4.4--9.5) |
Providence County, Rhode Island |
2,743 |
8.0 |
0.6 |
(6.8--9.1) |
Washington County, Rhode Island |
517 |
5.1 |
1.1 |
(2.9--7.2) |
Aiken County, South Carolina |
687 |
9.2 |
1.2 |
(6.8--11.5) |
Beaufort County, South Carolina |
854 |
6.7 |
0.9 |
(4.9--8.4) |
Berkeley County, South Carolina |
329 |
10.3 |
1.6 |
(7.1--13.4) |
Charleston County, South Carolina |
690 |
6.4 |
0.9 |
(4.6--8.1) |
Dorchester County, South Carolina |
253 |
9.4 |
1.9 |
(5.6--13.1) |
Greenville County, South Carolina |
557 |
7.1 |
1.1 |
(4.9--9.2) |
Horry County, South Carolina |
914 |
9.1 |
1.1 |
(6.9--11.2) |
Lexington County, South Carolina |
333 |
7.3 |
1.6 |
(4.1--10.4) |
Richland County, South Carolina |
441 |
7.8 |
1.3 |
(5.2--10.3) |
York County, South Carolina |
282 |
7.2 |
1.4 |
(4.4--9.9) |
Minnehaha County, South Dakota |
727 |
5.6 |
0.9 |
(3.8--7.3) |
Pennington County, South Dakota |
770 |
5.9 |
0.9 |
(4.1--7.6) |
Davidson County, Tennessee |
283 |
11.1 |
2.2 |
(6.7--15.4) |
TABLE 45. (Continued) Estimated prevalence of adults aged ≥18 years who have been told by a doctor that they have diabetes,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
685 |
10.1 |
1.3 |
(7.5--12.6) |
Shelby County, Tennessee |
299 |
11.7 |
2.1 |
(7.5--15.8) |
Sullivan County, Tennessee |
424 |
9.2 |
1.5 |
(6.2--12.1) |
Bexar County, Texas |
1,065 |
9.6 |
0.9 |
(7.8--11.3) |
Cameron County, Texas |
625 |
12.8 |
1.4 |
(10.0--15.5) |
Collin County, Texas |
262 |
7.3 |
1.8 |
(3.7--10.8) |
Dallas County, Texas |
854 |
9.4 |
1.2 |
(7.0--11.7) |
Denton County, Texas |
257 |
8.0 |
1.9 |
(4.2--11.7) |
El Paso County, Texas |
1,513 |
10.6 |
0.8 |
(9.0--12.1) |
Harris County, Texas |
975 |
10.1 |
1.3 |
(7.5--12.6) |
Hidalgo County, Texas |
958 |
12.9 |
1.2 |
(10.5--15.2) |
Tarrant County, Texas |
1,149 |
8.0 |
0.8 |
(6.4--9.5) |
Travis County, Texas |
798 |
6.0 |
0.9 |
(4.2--7.7) |
Webb County, Texas |
509 |
16.5 |
2.4 |
(11.7--21.2) |
Williamson County, Texas |
362 |
8.3 |
1.6 |
(5.1--11.4) |
Davis County, Utah |
420 |
4.1 |
0.9 |
(2.3--5.8) |
Salt Lake County, Utah |
1,653 |
5.7 |
0.6 |
(4.5--6.8) |
Tooele County, Utah |
252 |
7.8 |
1.7 |
(4.4--11.1) |
Utah County, Utah |
551 |
4.8 |
1.0 |
(2.8--6.7) |
Weber County, Utah |
404 |
5.9 |
1.1 |
(3.7--8.0) |
Chittenden County, Vermont |
1,423 |
4.8 |
0.5 |
(3.8--5.7) |
Franklin County, Vermont |
467 |
8.8 |
1.3 |
(6.2--11.3) |
Orange County, Vermont |
373 |
7.6 |
1.6 |
(4.4--10.7) |
Rutland County, Vermont |
684 |
7.3 |
1.0 |
(5.3--9.2) |
Washington County, Vermont |
696 |
9.3 |
1.2 |
(6.9--11.6) |
Windsor County, Vermont |
726 |
6.7 |
1.0 |
(4.7--8.6) |
Arlington County, Virginia |
298 |
4.5 |
1.3 |
(1.9--7.0) |
Fairfax County, Virginia |
250 |
3.0 |
1.1 |
(0.8--5.1) |
Prince William County, Virginia |
281 |
8.3 |
1.6 |
(5.1--11.4) |
Alexandria city, Virginia |
263 |
2.6 |
1.1 |
(0.4--4.7) |
Benton County, Washington |
451 |
6.7 |
1.2 |
(4.3--9.0) |
Chelan County, Washington |
545 |
7.3 |
1.1 |
(5.1--9.4) |
Clark County, Washington |
1,703 |
7.6 |
0.7 |
(6.2--8.9) |
Douglas County, Washington |
531 |
6.5 |
1.4 |
(3.7--9.2) |
King County, Washington |
4,436 |
5.8 |
0.4 |
(5.0--6.5) |
Kitsap County, Washington |
1,009 |
6.3 |
0.7 |
(4.9--7.6) |
Pierce County, Washington |
1,906 |
8.1 |
0.7 |
(6.7--9.4) |
Snohomish County, Washington |
2,742 |
7.0 |
0.5 |
(6.0--7.9) |
Spokane County, Washington |
1,374 |
6.2 |
0.6 |
(5.0--7.3) |
Thurston County, Washington |
1,877 |
7.3 |
0.6 |
(6.1--8.4) |
Whatcom County, Washington |
1,175 |
6.1 |
0.8 |
(4.5--7.6) |
Yakima County, Washington |
751 |
10.4 |
1.2 |
(8.0--12.7) |
Kanawha County, West Virginia |
508 |
10.3 |
1.4 |
(7.5--13.0) |
Milwaukee County, Wisconsin |
1,188 |
6.6 |
0.9 |
(4.8--8.3) |
Fremont County, Wyoming |
501 |
9.7 |
1.4 |
(6.9--12.4) |
Laramie County, Wyoming |
910 |
9.0 |
1.0 |
(7.0--10.9) |
Natrona County, Wyoming |
757 |
8.6 |
1.1 |
(6.4--10.7) |
Median |
8.1 |
|||
Range |
1.8--16.5 |
|||
* Did not include gestational diabetes, pre-diabetes or borderline diabetes. † Standard error. § Confidence interval. |
TABLE 47. (Continued) Estimated prevalence of adults aged ≥20 years who have been told by a health professional that their blood pressure was high,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Grand Island, Nebraska |
564 |
28.2 |
2.2 |
(23.8--32.6) |
Grand Rapids-Wyoming, Michigan |
497 |
27.1 |
2.2 |
(22.8--31.4) |
Greeley, Colorado |
530 |
21.3 |
2.1 |
(17.2--25.4) |
Greensboro-High Point, North Carolina |
827 |
31.7 |
2.3 |
(27.1--36.3) |
Greenville, South Carolina |
875 |
27.9 |
1.8 |
(24.3--31.5) |
Gulfport-Biloxi, Mississippi |
497 |
35.3 |
2.6 |
(30.2--40.4) |
Hagerstown-Martinsburg, Maryland-West Virginia |
704 |
32.1 |
2.3 |
(27.5--36.7) |
Hartford-West Hartford-East Hartford, Connecticut |
2,352 |
27.7 |
1.1 |
(25.5--29.9) |
Hickory-Morganton-Lenoir, North Carolina |
864 |
32.2 |
2.0 |
(28.3--36.1) |
Hilo, Hawaii |
1,497 |
28.4 |
1.4 |
(25.7--31.1) |
Hilton Head Island-Beaufort, South Carolina |
939 |
27.0 |
1.9 |
(23.4--30.6) |
Homosassa Springs, Florida |
577 |
36.7 |
2.5 |
(31.8--41.6) |
Honolulu, Hawaii |
2,868 |
30.2 |
1.0 |
(28.2--32.2) |
Houston-Sugar Land-Baytown, Texas |
1,545 |
27.7 |
1.4 |
(24.9--30.5) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
596 |
35.9 |
2.6 |
(30.8--41.0) |
Idaho Falls, Idaho |
505 |
24.0 |
2.2 |
(19.7--28.3) |
Indianapolis-Carmel, Indiana |
1,558 |
28.1 |
1.4 |
(25.3--30.9) |
Jackson, Mississippi |
1,147 |
29.8 |
1.6 |
(26.7--32.9) |
Jacksonville, Florida |
3,951 |
29.0 |
0.9 |
(27.2--30.8) |
Kahului-Wailuku, Hawaii |
1,493 |
26.4 |
1.6 |
(23.3--29.5) |
Kalispell, Montana |
547 |
24.5 |
2.2 |
(20.2--28.8) |
Kansas City, Missouri-Kansas |
3,320 |
26.7 |
1.0 |
(24.7--28.7) |
Kapaa, Hawaii |
647 |
31.2 |
2.3 |
(26.8--35.6) |
Kennewick-Richland-Pasco, Washington |
671 |
26.6 |
2.1 |
(22.5--30.7) |
Key West-Marathon, Florida |
500 |
25.5 |
3.1 |
(19.5--31.5) |
Kingsport-Bristol, Tennessee-Virginia |
582 |
32.2 |
2.5 |
(27.2--37.2) |
Lake Charles, Louisiana |
538 |
35.7 |
2.5 |
(30.7--40.7) |
Lake City, Florida |
580 |
32.3 |
2.9 |
(26.7--37.9) |
Lakeland-Winter Haven, Florida |
519 |
32.9 |
2.4 |
(28.2--37.6) |
Laredo, Texas |
495 |
26.8 |
2.9 |
(21.1--32.5) |
Las Cruces, New Mexico |
698 |
26.6 |
1.9 |
(22.9--30.3) |
Las Vegas-Paradise, Nevada |
1,334 |
28.2 |
1.4 |
(25.5--30.9) |
Lebanon, New Hampshire-Vermont |
1,601 |
25.6 |
1.2 |
(23.2--28.0) |
Lewiston, Idaho-Washington |
512 |
34.9 |
2.6 |
(29.8--40.0) |
Lincoln, Nebraska |
703 |
24.2 |
2.1 |
(20.1--28.3) |
Little Rock-North Little Rock, Arkansas |
1,236 |
29.0 |
1.5 |
(26.0--32.0) |
Los Angeles-Long Beach-Glendale, California¶ |
862 |
24.0 |
1.8 |
(20.6--27.4) |
Louisville, Kentucky-Indiana |
858 |
29.8 |
1.9 |
(26.1--33.5) |
Manchester-Nashua, New Hampshire |
1,426 |
26.8 |
1.3 |
(24.2--29.4) |
McAllen-Edinburg-Mission, Texas |
941 |
25.4 |
1.8 |
(21.9--28.9) |
Memphis, Tennessee-Mississippi-Arkansas |
980 |
34.9 |
2.3 |
(30.4--39.4) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,155 |
25.7 |
1.5 |
(22.7--28.7) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,508 |
27.0 |
1.8 |
(23.4--30.6) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,717 |
20.5 |
0.9 |
(18.8--22.2) |
Mobile, Alabama |
576 |
36.6 |
2.7 |
(31.3--41.9) |
Montgomery, Alabama |
508 |
34.1 |
3.1 |
(27.9--40.3) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
896 |
29.5 |
1.8 |
(26.0--33.0) |
Naples-Marco Island, Florida |
809 |
29.9 |
2.2 |
(25.6--34.2) |
Nashville-Davidson-Murfreesboro, Tennessee |
604 |
28.7 |
2.3 |
(24.2--33.2) |
Nassau-Suffolk, New York¶ |
806 |
27.3 |
1.8 |
(23.7--30.9) |
Newark-Union, New Jersey-Pennsylvania¶ |
1,994 |
30.8 |
1.5 |
(27.8--33.8) |
New Haven-Milford, Connecticut |
1,783 |
27.8 |
1.5 |
(24.9--30.7) |
New Orleans-Metairie-Kenner, Louisiana |
1,228 |
29.7 |
1.6 |
(26.5--32.9) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,373 |
26.0 |
1.0 |
(24.0--28.0) |
Nogales, Arizona |
518 |
20.8 |
3.2 |
(14.4--27.2) |
Norwich-New London, Connecticut |
499 |
29.5 |
2.5 |
(24.5--34.5) |
Ocala, Florida |
628 |
33.2 |
2.4 |
(28.4--38.0) |
Ogden-Clearfield, Utah |
826 |
21.5 |
1.6 |
(18.4--24.6) |
Okeechobee, Florida |
719 |
30.4 |
3.6 |
(23.4--37.4) |
Oklahoma City, Oklahoma |
2,251 |
30.4 |
1.1 |
(28.2--32.6) |
Olympia, Washington |
1,844 |
27.8 |
1.2 |
(25.5--30.1) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,535 |
26.8 |
1.5 |
(23.9--29.7) |
Orlando-Kissimmee, Florida |
2,664 |
29.0 |
1.4 |
(26.3--31.7) |
Palm Bay-Melbourne-Titusville, Florida |
556 |
30.9 |
2.4 |
(26.3--35.5) |
TABLE 47. (Continued) Estimated prevalence of adults aged ≥20 years who have been told by a health professional that their blood pressure was high,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Palm Coast, Florida |
534 |
35.5 |
2.9 |
(29.9--41.1) |
Panama City-Lynn Haven, Florida |
541 |
31.9 |
3.1 |
(25.8--38.0) |
Pensacola-Ferry Pass-Brent, Florida |
1,020 |
28.1 |
1.6 |
(24.9--31.3) |
Philadelphia, Pennsylvania¶ |
2,837 |
28.6 |
1.4 |
(25.9--31.3) |
Phoenix-Mesa-Scottsdale, Arizona |
1,273 |
23.8 |
1.6 |
(20.7--26.9) |
Pittsburgh, Pennsylvania |
2,932 |
27.6 |
1.4 |
(24.9--30.3) |
Portland-South Portland-Biddeford, Maine |
2,076 |
27.9 |
1.1 |
(25.7--30.1) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,935 |
23.5 |
0.9 |
(21.8--25.2) |
Port St. Lucie-Fort Pierce, Florida |
1,073 |
29.0 |
1.8 |
(25.5--32.5) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,072 |
29.5 |
0.7 |
(28.1--30.9) |
Provo-Orem, Utah |
565 |
17.8 |
1.8 |
(14.3--21.3) |
Raleigh-Cary, North Carolina |
1,080 |
24.0 |
1.6 |
(20.8--27.2) |
Rapid City, South Dakota |
972 |
24.3 |
1.5 |
(21.4--27.2) |
Reno-Sparks, Nevada |
1,370 |
25.4 |
1.3 |
(22.8--28.0) |
Richmond, Virginia |
852 |
28.3 |
1.8 |
(24.7--31.9) |
Riverside-San Bernardino-Ontario, California |
666 |
27.4 |
2.1 |
(23.3--31.5) |
Riverton, Wyoming |
498 |
30.8 |
2.5 |
(25.9--35.7) |
Rockingham County-Strafford County, New Hampshire¶ |
1,603 |
26.5 |
1.3 |
(24.0--29.0) |
Rutland, Vermont |
675 |
27.8 |
1.9 |
(24.0--31.6) |
St. Louis, Missouri-Illinois |
1,558 |
32.0 |
1.7 |
(28.7--35.3) |
Salt Lake City, Utah |
2,102 |
20.5 |
1.0 |
(18.6--22.4) |
San Antonio, Texas |
1,407 |
27.8 |
1.5 |
(24.9--30.7) |
San Diego-Carlsbad-San Marcos, California |
504 |
27.9 |
2.4 |
(23.2--32.6) |
San Francisco-Oakland-Fremont, California |
774 |
23.9 |
1.9 |
(20.2--27.6) |
Santa Fe, New Mexico |
519 |
21.2 |
2.1 |
(17.1--25.3) |
Sarasota-Bradenton-Venice, Florida |
1,329 |
30.6 |
1.7 |
(27.2--34.0) |
Scranton-Wilkes-Barre, Pennsylvania |
2,502 |
30.8 |
2.1 |
(26.7--34.9) |
Seaford, Delaware |
1,226 |
38.1 |
1.7 |
(34.8--41.4) |
Seattle-Bellevue-Everett, Washington¶ |
7,112 |
23.4 |
0.6 |
(22.2--24.6) |
Sebring, Florida |
762 |
31.6 |
2.2 |
(27.3--35.9) |
Sioux City, Iowa-Nebraska-South Dakota |
884 |
27.7 |
3.0 |
(21.9--33.5) |
Sioux Falls, South Dakota |
968 |
23.1 |
1.4 |
(20.3--25.9) |
Spokane, Washington |
1,353 |
26.1 |
1.4 |
(23.4--28.8) |
Springfield, Massachusetts |
2,560 |
28.5 |
1.3 |
(26.0--31.0) |
Tacoma, Washington¶ |
1,872 |
30.5 |
1.3 |
(28.0--33.0) |
Tallahassee, Florida |
2,077 |
27.1 |
1.9 |
(23.3--30.9) |
Tampa-St. Petersburg-Clearwater, Florida |
2,169 |
29.4 |
1.4 |
(26.7--32.1) |
Toledo, Ohio |
979 |
31.0 |
2.0 |
(27.0--35.0) |
Topeka, Kansas |
782 |
29.1 |
1.9 |
(25.4--32.8) |
Tucson, Arizona |
740 |
26.6 |
2.0 |
(22.7--30.5) |
Tulsa, Oklahoma |
2,081 |
31.3 |
1.3 |
(28.7--33.9) |
Tuscaloosa, Alabama |
534 |
31.1 |
2.5 |
(26.2--36.0) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,143 |
28.5 |
2.1 |
(24.3--32.7) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,473 |
30.0 |
1.5 |
(27.2--32.8) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,751 |
26.0 |
1.3 |
(23.5--28.5) |
Wauchula, Florida |
690 |
27.1 |
4.9 |
(17.5--36.7) |
Wenatchee, Washington |
1,064 |
26.9 |
1.6 |
(23.7--30.1) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
546 |
25.3 |
2.1 |
(21.1--29.5) |
Wichita, Kansas |
1,550 |
27.4 |
1.3 |
(24.8--30.0) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,738 |
28.2 |
1.3 |
(25.7--30.7) |
Wilmington, North Carolina |
609 |
30.3 |
2.4 |
(25.7--34.9) |
Worcester, Massachusetts |
2,723 |
27.8 |
1.2 |
(25.5--30.1) |
Yakima, Washington |
735 |
26.1 |
1.9 |
(22.3--29.9) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,038 |
33.1 |
2.5 |
(28.2--38.0) |
Yuma, Arizona |
559 |
31.8 |
2.3 |
(27.2--36.4) |
Median |
27.8 |
|||
Range |
16.5--38.1 |
|||
* Did not include high blood pressure during pregnancy in females, or pre-hypertension or borderline high blood pressure in adults. † Standard error. § Confidence interval. ¶ Metropolitan division. |
TABLE 48. (Continued) Estimated prevalence of adults aged ≥20 years who have been told by a health professional that their blood pressure was high,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
628 |
33.2 |
2.4 |
(28.4--38.0) |
Martin County, Florida |
547 |
25.6 |
2.3 |
(21.0--30.2) |
Miami-Dade County, Florida |
604 |
25.3 |
2.1 |
(21.1--29.5) |
Monroe County, Florida |
500 |
25.5 |
3.1 |
(19.5--31.5) |
Nassau County, Florida |
534 |
32.1 |
2.5 |
(27.2--37.0) |
Okeechobee County, Florida |
719 |
30.4 |
3.6 |
(23.4--37.4) |
Orange County, Florida |
814 |
27.5 |
2.4 |
(22.8--32.2) |
Osceola County, Florida |
707 |
24.7 |
2.1 |
(20.6--28.8) |
Palm Beach County, Florida |
546 |
25.3 |
2.1 |
(21.1--29.5) |
Pasco County, Florida |
550 |
30.6 |
2.3 |
(26.2--35.0) |
Pinellas County, Florida |
536 |
28.5 |
2.4 |
(23.9--33.1) |
Polk County, Florida |
519 |
32.9 |
2.4 |
(28.2--37.6) |
St. Johns County, Florida |
556 |
31.8 |
2.4 |
(27.0--36.6) |
St. Lucie County, Florida |
526 |
30.6 |
2.5 |
(25.7--35.5) |
Santa Rosa County, Florida |
495 |
27.4 |
2.3 |
(22.8--32.0) |
Sarasota County, Florida |
824 |
29.6 |
2.2 |
(25.2--34.0) |
Seminole County, Florida |
528 |
30.0 |
2.6 |
(24.8--35.2) |
Volusia County, Florida |
510 |
30.8 |
2.5 |
(26.0--35.6) |
Wakulla County, Florida |
545 |
32.5 |
3.6 |
(25.5--39.5) |
Clayton County, Georgia |
338 |
29.3 |
3.2 |
(23.0--35.6) |
Cobb County, Georgia |
408 |
24.9 |
2.5 |
(20.0--29.8) |
DeKalb County, Georgia |
426 |
28.9 |
3.1 |
(22.8--35.0) |
Fulton County, Georgia |
408 |
26.9 |
2.8 |
(21.3--32.5) |
Gwinnett County, Georgia |
315 |
23.3 |
2.7 |
(18.0--28.6) |
Hawaii County, Hawaii |
1,497 |
28.4 |
1.4 |
(25.7--31.1) |
Honolulu County, Hawaii |
2,868 |
30.2 |
1.0 |
(28.2--32.2) |
Kauai County, Hawaii |
647 |
31.2 |
2.3 |
(26.8--35.6) |
Maui County, Hawaii |
1,493 |
26.4 |
1.6 |
(23.3--29.5) |
Ada County, Idaho |
640 |
27.2 |
2.0 |
(23.3--31.1) |
Bonneville County, Idaho |
391 |
23.6 |
2.4 |
(18.9--28.3) |
Canyon County, Idaho |
485 |
26.8 |
2.2 |
(22.4--31.2) |
Nez Perce County, Idaho |
272 |
35.9 |
3.5 |
(29.1--42.7) |
Cook County, Illinois |
1,643 |
28.0 |
1.3 |
(25.4--30.6) |
DuPage County, Illinois |
377 |
26.8 |
2.6 |
(21.7--31.9) |
Lake County, Illinois |
292 |
25.5 |
3.0 |
(19.6--31.4) |
Lake County, Indiana |
567 |
26.3 |
2.7 |
(20.9--31.7) |
Marion County, Indiana |
1,113 |
31.2 |
1.8 |
(27.7--34.7) |
Polk County, Iowa |
720 |
26.5 |
1.8 |
(22.9--30.1) |
Johnson County, Kansas |
1,532 |
23.3 |
1.2 |
(20.9--25.7) |
Sedgwick County, Kansas |
1,165 |
28.5 |
1.5 |
(25.5--31.5) |
Shawnee County, Kansas |
549 |
30.7 |
2.4 |
(26.0--35.4) |
Wyandotte County, Kansas |
346 |
33.1 |
3.1 |
(26.9--39.3) |
Jefferson County, Kentucky |
475 |
28.4 |
2.4 |
(23.7--33.1) |
Calcasieu Parish, Louisiana |
516 |
35.5 |
2.6 |
(30.5--40.5) |
East Baton Rouge Parish, Louisiana |
491 |
28.7 |
2.4 |
(23.9--33.5) |
Jefferson Parish, Louisiana |
419 |
33.3 |
2.8 |
(27.9--38.7) |
Orleans Parish, Louisiana |
291 |
32.3 |
3.5 |
(25.5--39.1) |
St. Tammany Parish, Louisiana |
329 |
27.1 |
2.9 |
(21.4--32.8) |
Cumberland County, Maine |
1,072 |
25.6 |
1.5 |
(22.6--28.6) |
Kennebec County, Maine |
544 |
28.3 |
2.1 |
(24.3--32.3) |
Penobscot County, Maine |
653 |
31.7 |
2.2 |
(27.4--36.0) |
Sagadahoc County, Maine |
280 |
29.3 |
3.0 |
(23.4--35.2) |
York County, Maine |
724 |
30.4 |
2.0 |
(26.5--34.3) |
Anne Arundel County, Maryland |
550 |
27.2 |
2.2 |
(22.9--31.5) |
Baltimore County, Maryland |
974 |
32.3 |
1.8 |
(28.9--35.7) |
Charles County, Maryland |
297 |
28.2 |
3.0 |
(22.3--34.1) |
Frederick County, Maryland |
536 |
27.0 |
2.3 |
(22.5--31.5) |
Harford County, Maryland |
303 |
30.5 |
3.2 |
(24.3--36.7) |
Howard County, Maryland |
335 |
26.6 |
3.0 |
(20.8--32.4) |
Montgomery County, Maryland |
1,091 |
26.2 |
1.6 |
(23.1--29.3) |
Prince George´s County, Maryland |
642 |
31.6 |
2.2 |
(27.3--35.9) |
Queen Anne´s County, Maryland |
253 |
26.4 |
3.0 |
(20.5--32.3) |
Washington County, Maryland |
439 |
34.3 |
3.0 |
(28.4--40.2) |
TABLE 48. (Continued) Estimated prevalence of adults aged ≥20 years who have been told by a health professional that their blood pressure was high,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
494 |
30.9 |
2.4 |
(26.2--35.6) |
Barnstable County, Massachusetts |
582 |
32.2 |
2.4 |
(27.6--36.8) |
Bristol County, Massachusetts |
3,614 |
29.9 |
1.3 |
(27.4--32.4) |
Essex County, Massachusetts |
2,941 |
27.6 |
1.4 |
(24.9--30.3) |
Hampden County, Massachusetts |
1,994 |
30.9 |
1.6 |
(27.8--34.0) |
Hampshire County, Massachusetts |
363 |
19.1 |
2.2 |
(14.7--23.5) |
Middlesex County, Massachusetts |
3,932 |
23.9 |
1.0 |
(22.0--25.8) |
Norfolk County, Massachusetts |
1,249 |
25.8 |
1.4 |
(23.0--28.6) |
Plymouth County, Massachusetts |
837 |
27.3 |
1.9 |
(23.5--31.1) |
Suffolk County, Massachusetts |
2,379 |
23.1 |
1.2 |
(20.8--25.4) |
Worcester County, Massachusetts |
2,723 |
27.8 |
1.2 |
(25.5--30.1) |
Kent County, Michigan |
369 |
27.0 |
2.6 |
(22.0--32.0) |
Macomb County, Michigan |
403 |
32.9 |
2.8 |
(27.5--38.3) |
Oakland County, Michigan |
769 |
27.2 |
2.0 |
(23.4--31.0) |
Wayne County, Michigan |
1,627 |
31.8 |
1.6 |
(28.7--34.9) |
Anoka County, Minnesota |
267 |
23.4 |
2.8 |
(17.9--28.9) |
Dakota County, Minnesota |
346 |
18.5 |
2.3 |
(14.1--22.9) |
Hennepin County, Minnesota |
933 |
19.9 |
1.5 |
(17.0--22.8) |
Ramsey County, Minnesota |
408 |
20.8 |
2.2 |
(16.5--25.1) |
DeSoto County, Mississippi |
261 |
26.9 |
3.2 |
(20.7--33.1) |
Harrison County, Mississippi |
378 |
34.6 |
2.9 |
(28.9--40.3) |
Hinds County, Mississippi |
512 |
32.5 |
2.5 |
(27.6--37.4) |
Rankin County, Mississippi |
297 |
24.8 |
2.6 |
(19.6--30.0) |
Jackson County, Missouri |
487 |
24.5 |
2.1 |
(20.4--28.6) |
St. Louis County, Missouri |
456 |
33.9 |
3.0 |
(28.1--39.7) |
St. Louis City, Missouri |
466 |
33.7 |
3.1 |
(27.6--39.8) |
Flathead County, Montana |
547 |
24.5 |
2.2 |
(20.2--28.8) |
Yellowstone County, Montana |
443 |
24.2 |
2.3 |
(19.8--28.6) |
Dakota County, Nebraska |
477 |
29.4 |
2.4 |
(24.7--34.1) |
Douglas County, Nebraska |
598 |
26.1 |
2.1 |
(22.0--30.2) |
Hall County, Nebraska |
378 |
25.4 |
2.3 |
(20.8--30.0) |
Lancaster County, Nebraska |
542 |
24.0 |
2.3 |
(19.6--28.4) |
Sarpy County, Nebraska |
378 |
25.1 |
3.0 |
(19.3--30.9) |
Clark County, Nevada |
1,334 |
28.2 |
1.4 |
(25.5--30.9) |
Washoe County, Nevada |
1,348 |
25.3 |
1.3 |
(22.7--27.9) |
Grafton County, New Hampshire |
512 |
23.2 |
2.0 |
(19.2--27.2) |
Hillsborough County, New Hampshire |
1,426 |
26.8 |
1.3 |
(24.2--29.4) |
Merrimack County, New Hampshire |
645 |
25.9 |
2.0 |
(22.1--29.7) |
Rockingham County, New Hampshire |
983 |
26.4 |
1.6 |
(23.3--29.5) |
Strafford County, New Hampshire |
620 |
26.3 |
2.1 |
(22.2--30.4) |
Bergen County, New Jersey |
378 |
24.9 |
2.6 |
(19.8--30.0) |
Burlington County, New Jersey |
344 |
26.8 |
3.0 |
(21.0--32.6) |
Camden County, New Jersey |
324 |
34.2 |
3.4 |
(27.5--40.9) |
Essex County, New Jersey |
536 |
31.9 |
2.6 |
(26.8--37.0) |
Gloucester County, New Jersey |
336 |
28.4 |
3.2 |
(22.0--34.8) |
Hudson County, New Jersey |
574 |
24.7 |
2.1 |
(20.5--28.9) |
Hunterdon County, New Jersey |
365 |
22.8 |
2.8 |
(17.3--28.3) |
Middlesex County, New Jersey |
384 |
24.9 |
2.4 |
(20.3--29.5) |
Monmouth County, New Jersey |
328 |
28.9 |
2.9 |
(23.2--34.6) |
Morris County, New Jersey |
415 |
24.3 |
2.5 |
(19.5--29.1) |
Ocean County, New Jersey |
331 |
28.6 |
2.8 |
(23.1--34.1) |
Passaic County, New Jersey |
278 |
29.9 |
3.2 |
(23.6--36.2) |
Somerset County, New Jersey |
360 |
26.2 |
2.8 |
(20.8--31.6) |
Sussex County, New Jersey |
335 |
25.5 |
2.7 |
(20.1--30.9) |
Union County, New Jersey |
311 |
36.6 |
3.6 |
(29.5--43.7) |
Warren County, New Jersey |
308 |
27.9 |
3.0 |
(22.0--33.8) |
Bernalillo County, New Mexico |
1,084 |
24.3 |
1.5 |
(21.3--27.3) |
Dona Ana County, New Mexico |
698 |
26.6 |
1.9 |
(22.9--30.3) |
Sandoval County, New Mexico |
503 |
27.7 |
2.6 |
(22.6--32.8) |
San Juan County, New Mexico |
666 |
23.8 |
2.0 |
(19.9--27.7) |
Santa Fe County, New Mexico |
519 |
21.2 |
2.1 |
(17.1--25.3) |
Valencia County, New Mexico |
315 |
26.0 |
3.0 |
(20.1--31.9) |
Erie County, New York |
402 |
34.2 |
2.8 |
(28.6--39.8) |
TABLE 48. (Continued) Estimated prevalence of adults aged ≥20 years who have been told by a health professional that their blood pressure was high,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
406 |
27.2 |
2.5 |
(22.3--32.1) |
Nassau County, New York |
375 |
29.8 |
2.7 |
(24.4--35.2) |
New York County, New York |
562 |
24.5 |
2.2 |
(20.1--28.9) |
Queens County, New York |
435 |
27.3 |
2.5 |
(22.4--32.2) |
Suffolk County, New York |
431 |
24.6 |
2.3 |
(20.0--29.2) |
Westchester County, New York |
275 |
24.3 |
2.9 |
(18.6--30.0) |
Buncombe County, North Carolina |
353 |
29.0 |
2.7 |
(23.7--34.3) |
Cabarrus County, North Carolina |
358 |
25.6 |
2.7 |
(20.3--30.9) |
Catawba County, North Carolina |
405 |
33.3 |
2.8 |
(27.8--38.8) |
Cumberland County, North Carolina |
375 |
31.6 |
2.9 |
(26.0--37.2) |
Durham County, North Carolina |
332 |
26.6 |
3.0 |
(20.7--32.5) |
Gaston County, North Carolina |
388 |
33.7 |
2.8 |
(28.1--39.3) |
Guilford County, North Carolina |
385 |
35.9 |
3.5 |
(29.0--42.8) |
Henderson County, North Carolina |
294 |
34.7 |
3.4 |
(28.0--41.4) |
Johnston County, North Carolina |
433 |
31.3 |
3.0 |
(25.5--37.1) |
Mecklenburg County, North Carolina |
676 |
24.7 |
1.9 |
(20.9--28.5) |
New Hanover County, North Carolina |
384 |
32.3 |
3.1 |
(26.2--38.4) |
Orange County, North Carolina |
343 |
23.2 |
3.2 |
(16.9--29.5) |
Randolph County, North Carolina |
373 |
31.0 |
2.7 |
(25.6--36.4) |
Union County, North Carolina |
370 |
27.4 |
2.9 |
(21.7--33.1) |
Wake County, North Carolina |
602 |
22.1 |
1.9 |
(18.4--25.8) |
Burleigh County, North Dakota |
497 |
24.3 |
2.0 |
(20.3--28.3) |
Cass County, North Dakota |
667 |
20.4 |
1.6 |
(17.3--23.5) |
Cuyahoga County, Ohio |
757 |
28.7 |
1.9 |
(24.9--32.5) |
Franklin County, Ohio |
751 |
24.8 |
1.8 |
(21.4--28.2) |
Hamilton County, Ohio |
820 |
28.9 |
1.9 |
(25.3--32.5) |
Licking County, Ohio |
253 |
30.6 |
3.2 |
(24.2--37.0) |
Lucas County, Ohio |
777 |
30.2 |
1.9 |
(26.5--33.9) |
Mahoning County, Ohio |
813 |
30.0 |
2.1 |
(25.9--34.1) |
Montgomery County, Ohio |
737 |
33.4 |
2.1 |
(29.3--37.5) |
Stark County, Ohio |
787 |
30.3 |
1.8 |
(26.7--33.9) |
Summit County, Ohio |
745 |
29.7 |
1.9 |
(26.0--33.4) |
Canadian County, Oklahoma |
245 |
24.4 |
3.1 |
(18.4--30.4) |
Cleveland County, Oklahoma |
410 |
25.7 |
2.6 |
(20.6--30.8) |
Oklahoma County, Oklahoma |
1,263 |
31.6 |
1.5 |
(28.7--34.5) |
Tulsa County, Oklahoma |
1,498 |
28.9 |
1.4 |
(26.2--31.6) |
Clackamas County, Oregon |
480 |
25.9 |
2.3 |
(21.4--30.4) |
Multnomah County, Oregon |
815 |
21.0 |
1.6 |
(17.9--24.1) |
Washington County, Oregon |
552 |
20.5 |
1.9 |
(16.8--24.2) |
Allegheny County, Pennsylvania |
639 |
27.3 |
2.0 |
(23.4--31.2) |
Delaware County, Pennsylvania |
272 |
24.1 |
2.8 |
(18.5--29.7) |
Fayette County, Pennsylvania |
1,612 |
35.1 |
1.8 |
(31.5--38.7) |
Luzerne County, Pennsylvania |
2,314 |
30.7 |
1.8 |
(27.2--34.2) |
Montgomery County, Pennsylvania |
333 |
26.3 |
2.8 |
(20.9--31.7) |
Philadelphia County, Pennsylvania |
1,792 |
34.4 |
2.5 |
(29.5--39.3) |
Westmoreland County, Pennsylvania |
289 |
27.5 |
3.3 |
(21.1--33.9) |
Kent County, Rhode Island |
654 |
28.6 |
2.0 |
(24.6--32.6) |
Newport County, Rhode Island |
356 |
28.3 |
2.6 |
(23.3--33.3) |
Providence County, Rhode Island |
2,723 |
29.6 |
1.1 |
(27.5--31.7) |
Washington County, Rhode Island |
514 |
29.9 |
2.5 |
(25.1--34.7) |
Aiken County, South Carolina |
682 |
34.5 |
2.2 |
(30.2--38.8) |
Beaufort County, South Carolina |
847 |
26.1 |
1.9 |
(22.4--29.8) |
Berkeley County, South Carolina |
326 |
27.6 |
2.6 |
(22.5--32.7) |
Charleston County, South Carolina |
682 |
27.6 |
2.3 |
(23.2--32.0) |
Dorchester County, South Carolina |
252 |
28.8 |
3.2 |
(22.5--35.1) |
Greenville County, South Carolina |
546 |
26.7 |
2.2 |
(22.3--31.1) |
Horry County, South Carolina |
896 |
29.5 |
1.8 |
(26.0--33.0) |
Lexington County, South Carolina |
325 |
23.2 |
2.5 |
(18.3--28.1) |
Richland County, South Carolina |
432 |
31.0 |
2.6 |
(26.0--36.0) |
York County, South Carolina |
279 |
27.7 |
3.0 |
(21.9--33.5) |
Minnehaha County, South Dakota |
718 |
23.6 |
1.7 |
(20.4--26.8) |
Pennington County, South Dakota |
764 |
23.9 |
1.7 |
(20.6--27.2) |
Davidson County, Tennessee |
284 |
26.6 |
3.1 |
(20.5--32.7) |
TABLE 48. (Continued) Estimated prevalence of adults aged ≥20 years who have been told by a health professional that their blood pressure was high,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
683 |
36.2 |
2.4 |
(31.5--40.9) |
Shelby County, Tennessee |
297 |
36.4 |
3.4 |
(29.8--43.0) |
Sullivan County, Tennessee |
414 |
29.8 |
2.7 |
(24.4--35.2) |
Bexar County, Texas |
1,053 |
28.1 |
1.7 |
(24.7--31.5) |
Cameron County, Texas |
614 |
28.2 |
2.1 |
(24.0--32.4) |
Collin County, Texas |
259 |
22.4 |
3.0 |
(16.6--28.2) |
Dallas County, Texas |
848 |
25.9 |
1.9 |
(22.2--29.6) |
Denton County, Texas |
257 |
20.1 |
2.8 |
(14.7--25.5) |
El Paso County, Texas |
1,489 |
25.2 |
1.3 |
(22.7--27.7) |
Harris County, Texas |
964 |
27.2 |
1.8 |
(23.7--30.7) |
Hidalgo County, Texas |
941 |
25.4 |
1.8 |
(21.9--28.9) |
Tarrant County, Texas |
1,138 |
25.9 |
1.5 |
(23.0--28.8) |
Travis County, Texas |
788 |
20.2 |
1.7 |
(16.8--23.6) |
Webb County, Texas |
495 |
26.8 |
2.9 |
(21.1--32.5) |
Williamson County, Texas |
361 |
27.3 |
3.0 |
(21.5--33.1) |
Davis County, Utah |
416 |
19.9 |
2.3 |
(15.4--24.4) |
Salt Lake County, Utah |
1,615 |
20.8 |
1.1 |
(18.7--22.9) |
Tooele County, Utah |
249 |
21.2 |
2.7 |
(15.8--26.6) |
Utah County, Utah |
532 |
17.9 |
1.9 |
(14.3--21.5) |
Weber County, Utah |
392 |
24.0 |
2.3 |
(19.5--28.5) |
Chittenden County, Vermont |
1,407 |
19.4 |
1.2 |
(17.1--21.7) |
Franklin County, Vermont |
466 |
28.2 |
2.3 |
(23.7--32.7) |
Orange County, Vermont |
370 |
26.2 |
2.6 |
(21.1--31.3) |
Rutland County, Vermont |
675 |
27.8 |
1.9 |
(24.0--31.6) |
Washington County, Vermont |
690 |
26.1 |
1.9 |
(22.4--29.8) |
Windsor County, Vermont |
719 |
28.3 |
1.8 |
(24.7--31.9) |
Arlington County, Virginia |
295 |
18.6 |
2.8 |
(13.2--24.0) |
Fairfax County, Virginia |
248 |
23.0 |
3.7 |
(15.7--30.3) |
Prince William County, Virginia |
274 |
23.4 |
2.9 |
(17.7--29.1) |
Alexandria city, Virginia |
263 |
24.3 |
4.1 |
(16.3--32.3) |
Benton County, Washington |
444 |
27.5 |
2.5 |
(22.6--32.4) |
Chelan County, Washington |
541 |
27.4 |
2.1 |
(23.2--31.6) |
Clark County, Washington |
1,679 |
26.2 |
1.2 |
(23.8--28.6) |
Douglas County, Washington |
523 |
25.6 |
2.2 |
(21.2--30.0) |
King County, Washington |
4,395 |
22.6 |
0.7 |
(21.2--24.0) |
Kitsap County, Washington |
995 |
27.5 |
1.7 |
(24.2--30.8) |
Pierce County, Washington |
1,872 |
30.1 |
1.2 |
(27.7--32.5) |
Snohomish County, Washington |
2,717 |
25.4 |
1.0 |
(23.5--27.3) |
Spokane County, Washington |
1,353 |
26.1 |
1.4 |
(23.4--28.8) |
Thurston County, Washington |
1,844 |
27.8 |
1.2 |
(25.5--30.1) |
Whatcom County, Washington |
1,154 |
24.4 |
1.4 |
(21.6--27.2) |
Yakima County, Washington |
735 |
26.1 |
1.9 |
(22.3--29.9) |
Kanawha County, West Virginia |
503 |
35.0 |
2.4 |
(30.2--39.8) |
Milwaukee County, Wisconsin |
1,160 |
27.5 |
2.3 |
(23.0--32.0) |
Fremont County, Wyoming |
498 |
30.8 |
2.5 |
(25.9--35.7) |
Laramie County, Wyoming |
901 |
25.3 |
1.6 |
(22.2--28.4) |
Natrona County, Wyoming |
752 |
26.9 |
1.9 |
(23.2--30.6) |
Median |
27.4 |
|||
Range |
15.9--38.1 |
|||
* Did not include high blood pressure during pregnancy in females, or pre-hypertension or borderline high blood pressure in adults. † Standard error. ¶ Confidence interval. |
TABLE 50. (Continued) Estimated prevalence of adults aged ≥20 years who reportedly had their blood cholesterol checked and were told by a health professional that it was high, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Grand Island, Nebraska |
461 |
34.9 |
2.6 |
(29.7--40.1) |
Grand Rapids-Wyoming, Michigan |
435 |
35.9 |
2.7 |
(30.6--41.2) |
Greeley, Colorado |
434 |
32.1 |
2.6 |
(27.1--37.1) |
Greensboro-High Point, North Carolina |
730 |
40.9 |
2.5 |
(35.9--45.9) |
Greenville, South Carolina |
767 |
41.1 |
2.2 |
(36.7--45.5) |
Gulfport-Biloxi, Mississippi |
410 |
40.1 |
2.9 |
(34.4--45.8) |
Hagerstown-Martinsburg, Maryland-West Virginia |
608 |
39.7 |
2.6 |
(34.6--44.8) |
Hartford-West Hartford-East Hartford, Connecticut |
2,085 |
38.8 |
1.3 |
(36.2--41.4) |
Hickory-Morganton-Lenoir, North Carolina |
763 |
41.0 |
2.2 |
(36.6--45.4) |
Hilo, Hawaii |
1,247 |
36.9 |
1.6 |
(33.7--40.1) |
Hilton Head Island-Beaufort, South Carolina |
868 |
37.0 |
2.1 |
(32.9--41.1) |
Homosassa Springs, Florida |
515 |
44.3 |
2.7 |
(39.0--49.6) |
Honolulu, Hawaii |
2,434 |
37.2 |
1.1 |
(35.0--39.4) |
Houston-Sugar Land-Baytown, Texas |
1,277 |
39.2 |
1.8 |
(35.7--42.7) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
517 |
46.2 |
2.9 |
(40.5--51.9) |
Idaho Falls, Idaho |
391 |
39.5 |
2.9 |
(33.9--45.1) |
Indianapolis-Carmel, Indiana |
1,350 |
37.3 |
1.8 |
(33.8--40.8) |
Jackson, Mississippi |
982 |
37.1 |
1.8 |
(33.5--40.7) |
Jacksonville, Florida |
3,450 |
37.5 |
1.1 |
(35.3--39.7) |
Kahului-Wailuku, Hawaii |
1,219 |
35.9 |
1.8 |
(32.4--39.4) |
Kalispell, Montana |
440 |
35.8 |
2.7 |
(30.6--41.0) |
Kansas City, Missouri-Kansas |
2,863 |
38.8 |
1.2 |
(36.4--41.2) |
Kapaa, Hawaii |
535 |
34.0 |
2.4 |
(29.2--38.8) |
Kennewick-Richland-Pasco, Washington |
552 |
41.7 |
2.7 |
(36.4--47.0) |
Key West-Marathon, Florida |
426 |
37.3 |
3.9 |
(29.6--45.0) |
Kingsport-Bristol, Tennessee-Virginia |
500 |
33.0 |
2.8 |
(27.6--38.4) |
Lake Charles, Louisiana |
456 |
33.9 |
2.6 |
(28.8--39.0) |
Lake City, Florida |
487 |
35.9 |
3.2 |
(29.7--42.1) |
Lakeland-Winter Haven, Florida |
437 |
41.2 |
2.8 |
(35.6--46.8) |
Laredo, Texas |
306 |
34.9 |
3.5 |
(28.0--41.8) |
Las Cruces, New Mexico |
546 |
34.5 |
2.4 |
(29.8--39.2) |
Las Vegas-Paradise, Nevada |
1,081 |
37.0 |
1.7 |
(33.7--40.3) |
Lebanon, New Hampshire-Vermont |
1,383 |
35.8 |
1.5 |
(32.9--38.7) |
Lewiston, Idaho-Washington |
426 |
40.1 |
2.9 |
(34.4--45.8) |
Lincoln, Nebraska |
609 |
38.3 |
2.7 |
(33.0--43.6) |
Little Rock-North Little Rock, Arkansas |
1,035 |
39.6 |
1.8 |
(36.1--43.1) |
Los Angeles-Long Beach-Glendale, California¶ |
734 |
34.3 |
2.1 |
(30.1--38.5) |
Louisville, Kentucky-Indiana |
725 |
35.5 |
2.2 |
(31.2--39.8) |
Manchester-Nashua, New Hampshire |
1,283 |
39.7 |
1.6 |
(36.6--42.8) |
McAllen-Edinburg-Mission, Texas |
657 |
40.4 |
2.6 |
(35.4--45.4) |
Memphis, Tennessee-Mississippi-Arkansas |
844 |
33.5 |
2.5 |
(28.6--38.4) |
Miami-Fort Lauderdale-Miami Beach, Florida |
940 |
36.2 |
1.9 |
(32.4--40.0) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,277 |
35.3 |
2.2 |
(31.0--39.6) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,451 |
33.7 |
1.1 |
(31.5--35.9) |
Mobile, Alabama |
467 |
42.2 |
3.2 |
(35.9--48.5) |
Montgomery, Alabama |
434 |
33.5 |
3.4 |
(26.8--40.2) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
802 |
41.1 |
2.1 |
(37.0--45.2) |
Naples-Marco Island, Florida |
654 |
36.0 |
2.5 |
(31.0--41.0) |
Nashville-Davidson-Murfreesboro, Tennessee |
515 |
34.3 |
2.8 |
(28.9--39.7) |
Nassau-Suffolk, New York¶ |
747 |
39.0 |
2.2 |
(34.6--43.4) |
Newark-Union, New Jersey-Pennsylvania¶ |
1,763 |
38.3 |
1.7 |
(34.9--41.7) |
New Haven-Milford, Connecticut |
1,568 |
38.2 |
1.7 |
(34.9--41.5) |
New Orleans-Metairie-Kenner, Louisiana |
1,047 |
32.6 |
1.8 |
(29.1--36.1) |
New York-White Plains-Wayne, New York-New Jersey¶ |
2,910 |
35.7 |
1.2 |
(33.4--38.0) |
Nogales, Arizona |
357 |
N/A |
N/A |
N/A |
Norwich-New London, Connecticut |
453 |
35.0 |
2.8 |
(29.5--40.5) |
Ocala, Florida |
534 |
42.0 |
2.9 |
(36.4--47.6) |
Ogden-Clearfield, Utah |
676 |
32.8 |
2.0 |
(28.8--36.8) |
Okeechobee, Florida |
569 |
36.2 |
3.3 |
(29.8--42.6) |
Oklahoma City, Oklahoma |
1,839 |
40.4 |
1.3 |
(37.8--43.0) |
Olympia, Washington |
1,582 |
34.3 |
1.4 |
(31.6--37.0) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,317 |
33.9 |
1.7 |
(30.5--37.3) |
Orlando-Kissimmee, Florida |
2,268 |
33.1 |
1.5 |
(30.2--36.0) |
Palm Bay-Melbourne-Titusville, Florida |
487 |
37.8 |
2.7 |
(32.5--43.1) |
TABLE 50. (Continued) Estimated prevalence of adults aged ≥20 years who reportedly had their blood cholesterol checked and were told by a health professional that it was high, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Palm Coast, Florida |
486 |
43.1 |
3.1 |
(37.0--49.2) |
Panama City-Lynn Haven, Florida |
443 |
36.4 |
3.3 |
(29.9--42.9) |
Pensacola-Ferry Pass-Brent, Florida |
866 |
34.6 |
2.0 |
(30.8--38.4) |
Philadelphia, Pennsylvania¶ |
2,473 |
39.3 |
1.6 |
(36.2--42.4) |
Phoenix-Mesa-Scottsdale, Arizona |
1,047 |
39.0 |
2.1 |
(34.8--43.2) |
Pittsburgh, Pennsylvania |
2,464 |
39.9 |
1.7 |
(36.6--43.2) |
Portland-South Portland-Biddeford, Maine |
1,889 |
37.5 |
1.3 |
(34.9--40.1) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,362 |
36.7 |
1.1 |
(34.5--38.9) |
Port St. Lucie-Fort Pierce, Florida |
921 |
39.6 |
2.1 |
(35.5--43.7) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
7,194 |
38.4 |
0.8 |
(36.8--40.0) |
Provo-Orem, Utah |
423 |
31.4 |
2.6 |
(26.3--36.5) |
Raleigh-Cary, North Carolina |
946 |
37.0 |
2.2 |
(32.6--41.4) |
Rapid City, South Dakota |
827 |
35.3 |
1.9 |
(31.5--39.1) |
Reno-Sparks, Nevada |
1,094 |
38.3 |
1.7 |
(34.9--41.7) |
Richmond, Virginia |
755 |
40.9 |
2.2 |
(36.5--45.3) |
Riverside-San Bernardino-Ontario, California |
554 |
38.1 |
2.6 |
(32.9--43.3) |
Riverton, Wyoming |
411 |
41.2 |
2.8 |
(35.7--46.7) |
Rockingham County-Strafford County, New Hampshire¶ |
1,447 |
42.6 |
1.6 |
(39.5--45.7) |
Rutland, Vermont |
589 |
33.0 |
2.1 |
(28.8--37.2) |
St. Louis, Missouri-Illinois |
1,328 |
39.2 |
1.9 |
(35.5--42.9) |
Salt Lake City, Utah |
1,718 |
33.6 |
1.4 |
(30.8--36.4) |
San Antonio, Texas |
1,184 |
38.7 |
1.8 |
(35.1--42.3) |
San Diego-Carlsbad-San Marcos, California |
424 |
38.3 |
2.9 |
(32.6--44.0) |
San Francisco-Oakland-Fremont, California |
680 |
34.1 |
2.3 |
(29.5--38.7) |
Santa Fe, New Mexico |
440 |
32.6 |
2.6 |
(27.6--37.6) |
Sarasota-Bradenton-Venice, Florida |
1,158 |
36.9 |
1.9 |
(33.1--40.7) |
Scranton-Wilkes-Barre, Pennsylvania |
2,141 |
40.5 |
2.4 |
(35.8--45.2) |
Seaford, Delaware |
1,123 |
48.5 |
1.8 |
(44.9--52.1) |
Seattle-Bellevue-Everett, Washington¶ |
6,188 |
36.0 |
0.8 |
(34.5--37.5) |
Sebring, Florida |
663 |
44.7 |
2.5 |
(39.7--49.7) |
Sioux City, Iowa-Nebraska-South Dakota |
658 |
37.8 |
3.4 |
(31.2--44.4) |
Sioux Falls, South Dakota |
814 |
31.6 |
1.8 |
(28.0--35.2) |
Spokane, Washington |
1,160 |
38.9 |
1.7 |
(35.6--42.2) |
Springfield, Massachusetts |
2,232 |
36.8 |
1.5 |
(33.8--39.8) |
Tacoma, Washington¶ |
1,601 |
37.2 |
1.5 |
(34.3--40.1) |
Tallahassee, Florida |
1,790 |
37.0 |
2.1 |
(33.0--41.0) |
Tampa-St. Petersburg-Clearwater, Florida |
1,919 |
38.1 |
1.6 |
(35.0--41.2) |
Toledo, Ohio |
831 |
41.8 |
2.2 |
(37.5--46.1) |
Topeka, Kansas |
686 |
39.8 |
2.2 |
(35.5--44.1) |
Tucson, Arizona |
622 |
36.8 |
2.4 |
(32.0--41.6) |
Tulsa, Oklahoma |
1,718 |
41.1 |
1.5 |
(38.1--44.1) |
Tuscaloosa, Alabama |
458 |
34.1 |
2.9 |
(28.5--39.7) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,005 |
34.5 |
2.4 |
(29.9--39.1) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,369 |
44.4 |
1.7 |
(41.1--47.7) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,025 |
35.2 |
1.7 |
(32.0--38.4) |
Wauchula, Florida |
526 |
45.5 |
3.3 |
(39.1--51.9) |
Wenatchee, Washington |
896 |
35.0 |
2.0 |
(31.1--38.9) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
484 |
37.7 |
2.8 |
(32.2--43.2) |
Wichita, Kansas |
1,307 |
39.4 |
1.6 |
(36.3--42.5) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,537 |
36.8 |
1.5 |
(33.9--39.7) |
Wilmington, North Carolina |
554 |
42.6 |
2.9 |
(37.0--48.2) |
Worcester, Massachusetts |
2,431 |
37.0 |
1.4 |
(34.2--39.8) |
Yakima, Washington |
572 |
45.2 |
2.5 |
(40.3--50.1) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
909 |
42.8 |
2.8 |
(37.4--48.2) |
Yuma, Arizona |
443 |
41.3 |
2.9 |
(35.7--46.9) |
Median |
37.6 |
|||
Range |
29.1--48.5 |
|||
* Standard error. † Confidence interval. § Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. ¶ Metropolitan division. |
TABLE 51. (Continued) Estimated prevalence of adults aged ≥20 years who reportedly had their blood cholesterol checked and were told by a health professional that it was high, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Marion County, Florida |
534 |
42.0 |
2.9 |
(36.4--47.6) |
Martin County, Florida |
471 |
41.0 |
3.0 |
(35.2--46.8) |
Miami-Dade County, Florida |
457 |
35.6 |
2.7 |
(30.2--41.0) |
Monroe County, Florida |
426 |
37.3 |
3.9 |
(29.6--45.0) |
Nassau County, Florida |
468 |
37.9 |
3.0 |
(32.1--43.7) |
Okeechobee County, Florida |
569 |
36.2 |
3.3 |
(29.8--42.6) |
Orange County, Florida |
688 |
31.0 |
2.6 |
(25.9--36.1) |
Osceola County, Florida |
567 |
35.9 |
2.7 |
(30.6--41.2) |
Palm Beach County, Florida |
484 |
37.7 |
2.8 |
(32.2--43.2) |
Pasco County, Florida |
483 |
43.2 |
2.7 |
(37.8--48.6) |
Pinellas County, Florida |
494 |
36.7 |
2.7 |
(31.3--42.1) |
Polk County, Florida |
437 |
41.2 |
2.8 |
(35.6--46.8) |
St. Johns County, Florida |
488 |
39.6 |
2.7 |
(34.3--44.9) |
St. Lucie County, Florida |
450 |
37.6 |
2.8 |
(32.1--43.1) |
Santa Rosa County, Florida |
415 |
36.3 |
2.6 |
(31.1--41.5) |
Sarasota County, Florida |
716 |
38.6 |
2.6 |
(33.4--43.8) |
Seminole County, Florida |
470 |
31.2 |
2.7 |
(25.8--36.6) |
Volusia County, Florida |
439 |
38.8 |
2.9 |
(33.1--44.5) |
Wakulla County, Florida |
461 |
36.6 |
3.7 |
(29.4--43.8) |
Clayton County, Georgia |
311 |
31.4 |
3.3 |
(25.0--37.8) |
Cobb County, Georgia |
375 |
34.1 |
3.0 |
(28.2--40.0) |
DeKalb County, Georgia |
388 |
38.6 |
3.5 |
(31.7--45.5) |
Fulton County, Georgia |
364 |
31.5 |
3.1 |
(25.5--37.5) |
Gwinnett County, Georgia |
275 |
42.6 |
3.6 |
(35.5--49.7) |
Hawaii County, Hawaii |
1,247 |
36.9 |
1.6 |
(33.7--40.1) |
Honolulu County, Hawaii |
2,434 |
37.2 |
1.1 |
(35.0--39.4) |
Kauai County, Hawaii |
535 |
34.0 |
2.4 |
(29.2--38.8) |
Maui County, Hawaii |
1,219 |
35.9 |
1.8 |
(32.4--39.4) |
Ada County, Idaho |
544 |
38.0 |
2.4 |
(33.3--42.7) |
Bonneville County, Idaho |
303 |
38.5 |
3.2 |
(32.2--44.8) |
Canyon County, Idaho |
368 |
35.9 |
2.8 |
(30.3--41.5) |
Nez Perce County, Idaho |
221 |
40.3 |
3.9 |
(32.6--48.0) |
Cook County, Illinois |
1,419 |
36.2 |
1.6 |
(33.1--39.3) |
DuPage County, Illinois |
336 |
38.0 |
3.1 |
(32.0--44.0) |
Lake County, Illinois |
256 |
38.5 |
3.5 |
(31.6--45.4) |
Lake County, Indiana |
449 |
42.1 |
3.9 |
(34.4--49.8) |
Marion County, Indiana |
960 |
36.8 |
2.1 |
(32.7--40.9) |
Polk County, Iowa |
600 |
41.5 |
2.3 |
(37.1--45.9) |
Johnson County, Kansas |
1,358 |
35.0 |
1.5 |
(32.1--37.9) |
Sedgwick County, Kansas |
970 |
39.0 |
1.8 |
(35.4--42.6) |
Shawnee County, Kansas |
487 |
40.1 |
2.7 |
(34.8--45.4) |
Wyandotte County, Kansas |
279 |
39.0 |
3.8 |
(31.6--46.4) |
Jefferson County, Kentucky |
392 |
35.1 |
2.8 |
(29.6--40.6) |
Calcasieu Parish, Louisiana |
437 |
35.0 |
2.7 |
(29.8--40.2) |
East Baton Rouge Parish, Louisiana |
406 |
34.2 |
2.7 |
(28.8--39.6) |
Jefferson Parish, Louisiana |
364 |
34.3 |
3.0 |
(28.4--40.2) |
Orleans Parish, Louisiana |
232 |
30.8 |
3.9 |
(23.1--38.5) |
St. Tammany Parish, Louisiana |
289 |
34.0 |
3.2 |
(27.7--40.3) |
Cumberland County, Maine |
982 |
37.4 |
1.8 |
(33.8--41.0) |
Kennebec County, Maine |
496 |
40.2 |
2.4 |
(35.4--45.0) |
Penobscot County, Maine |
577 |
42.1 |
2.4 |
(37.4--46.8) |
Sagadahoc County, Maine |
252 |
36.4 |
3.6 |
(29.4--43.4) |
York County, Maine |
655 |
37.6 |
2.3 |
(33.2--42.0) |
Anne Arundel County, Maryland |
495 |
40.0 |
2.6 |
(34.9--45.1) |
Baltimore County, Maryland |
856 |
38.7 |
2.0 |
(34.8--42.6) |
Charles County, Maryland |
268 |
41.1 |
3.7 |
(33.9--48.3) |
Frederick County, Maryland |
473 |
39.0 |
2.8 |
(33.5--44.5) |
Harford County, Maryland |
273 |
36.8 |
3.5 |
(29.9--43.7) |
Howard County, Maryland |
304 |
31.3 |
3.0 |
(25.4--37.2) |
Montgomery County, Maryland |
991 |
39.1 |
1.9 |
(35.3--42.9) |
Prince George´s County, Maryland |
567 |
34.4 |
2.4 |
(29.6--39.2) |
Queen Anne´s County, Maryland |
225 |
41.3 |
4.0 |
(33.6--49.0) |
TABLE 51. (Continued) Estimated prevalence of adults aged ≥20 years who reportedly had their blood cholesterol checked and were told by a health professional that it was high, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Washington County, Maryland |
393 |
40.7 |
3.0 |
(34.9--46.5) |
Baltimore City, Maryland |
446 |
33.5 |
2.7 |
(28.2--38.8) |
Barnstable County, Massachusetts |
545 |
42.1 |
2.6 |
(37.0--47.2) |
Bristol County, Massachusetts |
3,228 |
38.6 |
1.5 |
(35.6--41.6) |
Essex County, Massachusetts |
2,601 |
36.4 |
1.6 |
(33.2--39.6) |
Hampden County, Massachusetts |
1,718 |
38.5 |
1.8 |
(34.9--42.1) |
Hampshire County, Massachusetts |
335 |
30.2 |
3.2 |
(24.0--36.4) |
Middlesex County, Massachusetts |
3,538 |
33.2 |
1.1 |
(31.0--35.4) |
Norfolk County, Massachusetts |
1,170 |
36.5 |
1.7 |
(33.1--39.9) |
Plymouth County, Massachusetts |
761 |
36.2 |
2.2 |
(32.0--40.4) |
Suffolk County, Massachusetts |
2,056 |
34.2 |
1.5 |
(31.2--37.2) |
Worcester County, Massachusetts |
2,431 |
37.0 |
1.4 |
(34.2--39.8) |
Kent County, Michigan |
328 |
36.1 |
3.2 |
(29.9--42.3) |
Macomb County, Michigan |
376 |
43.7 |
3.1 |
(37.6--49.8) |
Oakland County, Michigan |
719 |
43.7 |
2.4 |
(39.0--48.4) |
Wayne County, Michigan |
1,466 |
39.8 |
1.8 |
(36.2--43.4) |
Anoka County, Minnesota |
248 |
39.2 |
3.6 |
(32.1--46.3) |
Dakota County, Minnesota |
314 |
31.2 |
3.0 |
(25.3--37.1) |
Hennepin County, Minnesota |
853 |
33.7 |
2.0 |
(29.8--37.6) |
Ramsey County, Minnesota |
370 |
34.7 |
3.0 |
(28.9--40.5) |
DeSoto County, Mississippi |
231 |
42.0 |
4.0 |
(34.1--49.9) |
Harrison County, Mississippi |
315 |
40.7 |
3.3 |
(34.3--47.1) |
Hinds County, Mississippi |
432 |
39.1 |
2.9 |
(33.3--44.9) |
Rankin County, Mississippi |
256 |
34.8 |
3.3 |
(28.4--41.2) |
Jackson County, Missouri |
408 |
42.3 |
2.8 |
(36.9--47.7) |
St. Louis County, Missouri |
397 |
38.9 |
3.3 |
(32.5--45.3) |
St. Louis City, Missouri |
386 |
34.4 |
3.6 |
(27.4--41.4) |
Flathead County, Montana |
440 |
35.8 |
2.7 |
(30.6--41.0) |
Yellowstone County, Montana |
377 |
30.8 |
2.7 |
(25.5--36.1) |
Dakota County, Nebraska |
340 |
35.3 |
3.0 |
(29.4--41.2) |
Douglas County, Nebraska |
517 |
32.3 |
2.5 |
(27.5--37.1) |
Hall County, Nebraska |
305 |
33.7 |
3.0 |
(27.7--39.7) |
Lancaster County, Nebraska |
471 |
38.9 |
2.9 |
(33.2--44.6) |
Sarpy County, Nebraska |
334 |
35.0 |
3.6 |
(28.0--42.0) |
Clark County, Nevada |
1,081 |
37.0 |
1.7 |
(33.7--40.3) |
Washoe County, Nevada |
1,076 |
38.2 |
1.7 |
(34.8--41.6) |
Grafton County, New Hampshire |
443 |
31.7 |
2.5 |
(26.8--36.6) |
Hillsborough County, New Hampshire |
1,283 |
39.7 |
1.6 |
(36.6--42.8) |
Merrimack County, New Hampshire |
579 |
32.7 |
2.3 |
(28.2--37.2) |
Rockingham County, New Hampshire |
893 |
42.2 |
1.9 |
(38.4--46.0) |
Strafford County, New Hampshire |
554 |
41.0 |
2.6 |
(35.9--46.1) |
Bergen County, New Jersey |
341 |
38.3 |
3.3 |
(31.8--44.8) |
Burlington County, New Jersey |
309 |
37.6 |
3.7 |
(30.4--44.8) |
Camden County, New Jersey |
285 |
34.2 |
3.7 |
(26.9--41.5) |
Essex County, New Jersey |
445 |
39.6 |
3.1 |
(33.6--45.6) |
Gloucester County, New Jersey |
295 |
50.7 |
3.9 |
(43.0--58.4) |
Hudson County, New Jersey |
458 |
36.6 |
2.9 |
(31.0--42.2) |
Hunterdon County, New Jersey |
330 |
42.1 |
3.3 |
(35.7--48.5) |
Middlesex County, New Jersey |
349 |
38.0 |
3.2 |
(31.7--44.3) |
Monmouth County, New Jersey |
305 |
39.3 |
3.5 |
(32.4--46.2) |
Morris County, New Jersey |
372 |
37.4 |
3.2 |
(31.1--43.7) |
Ocean County, New Jersey |
292 |
43.4 |
3.6 |
(36.4--50.4) |
Passaic County, New Jersey |
246 |
40.5 |
3.8 |
(33.1--47.9) |
Somerset County, New Jersey |
330 |
38.2 |
3.4 |
(31.6--44.8) |
Sussex County, New Jersey |
310 |
36.4 |
3.4 |
(29.7--43.1) |
Union County, New Jersey |
276 |
37.4 |
3.9 |
(29.7--45.1) |
Warren County, New Jersey |
271 |
41.6 |
3.7 |
(34.3--48.9) |
Bernalillo County, New Mexico |
890 |
36.5 |
1.9 |
(32.8--40.2) |
Dona Ana County, New Mexico |
546 |
34.5 |
2.4 |
(29.8--39.2) |
Sandoval County, New Mexico |
431 |
30.8 |
2.8 |
(25.3--36.3) |
San Juan County, New Mexico |
512 |
30.1 |
2.4 |
(25.4--34.8) |
Santa Fe County, New Mexico |
440 |
32.6 |
2.6 |
(27.6--37.6) |
TABLE 51. (Continued) Estimated prevalence of adults aged ≥20 years who reportedly had their blood cholesterol checked and were told by a health professional that it was high, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Valencia County, New Mexico |
247 |
32.6 |
3.7 |
(25.4--39.8) |
Erie County, New York |
364 |
43.8 |
3.2 |
(37.6--50.0) |
Kings County, New York |
340 |
36.5 |
2.9 |
(30.7--42.3) |
Nassau County, New York |
349 |
38.4 |
3.2 |
(32.1--44.7) |
New York County, New York |
501 |
32.0 |
2.6 |
(26.9--37.1) |
Queens County, New York |
382 |
40.6 |
3.0 |
(34.8--46.4) |
Suffolk County, New York |
398 |
39.4 |
3.1 |
(33.3--45.5) |
Westchester County, New York |
251 |
33.9 |
3.5 |
(27.1--40.7) |
Buncombe County, North Carolina |
315 |
45.2 |
3.3 |
(38.6--51.8) |
Cabarrus County, North Carolina |
325 |
41.1 |
3.6 |
(34.1--48.1) |
Catawba County, North Carolina |
361 |
39.6 |
3.1 |
(33.6--45.6) |
Cumberland County, North Carolina |
312 |
36.7 |
3.4 |
(30.0--43.4) |
Durham County, North Carolina |
306 |
27.1 |
3.0 |
(21.3--32.9) |
Gaston County, North Carolina |
358 |
39.9 |
3.1 |
(33.9--45.9) |
Guilford County, North Carolina |
348 |
42.5 |
3.8 |
(35.1--49.9) |
Henderson County, North Carolina |
261 |
40.6 |
3.8 |
(33.2--48.0) |
Johnston County, North Carolina |
373 |
45.0 |
3.7 |
(37.7--52.3) |
Mecklenburg County, North Carolina |
600 |
38.7 |
2.4 |
(33.9--43.5) |
New Hanover County, North Carolina |
351 |
39.6 |
3.4 |
(32.9--46.3) |
Orange County, North Carolina |
298 |
29.4 |
3.8 |
(22.0--36.8) |
Randolph County, North Carolina |
328 |
43.8 |
3.2 |
(37.6--50.0) |
Union County, North Carolina |
328 |
43.6 |
3.4 |
(37.0--50.2) |
Wake County, North Carolina |
532 |
35.2 |
2.6 |
(30.1--40.3) |
Burleigh County, North Dakota |
423 |
36.5 |
2.7 |
(31.3--41.7) |
Cass County, North Dakota |
583 |
38.1 |
2.4 |
(33.4--42.8) |
Cuyahoga County, Ohio |
655 |
40.2 |
2.3 |
(35.7--44.7) |
Franklin County, Ohio |
636 |
34.6 |
2.3 |
(30.2--39.0) |
Hamilton County, Ohio |
714 |
37.6 |
2.2 |
(33.3--41.9) |
Licking County, Ohio |
220 |
41.1 |
3.8 |
(33.6--48.6) |
Lucas County, Ohio |
659 |
46.0 |
2.3 |
(41.4--50.6) |
Mahoning County, Ohio |
722 |
36.0 |
2.3 |
(31.5--40.5) |
Montgomery County, Ohio |
636 |
41.9 |
2.3 |
(37.3--46.5) |
Stark County, Ohio |
672 |
41.6 |
2.2 |
(37.4--45.8) |
Summit County, Ohio |
637 |
41.4 |
2.4 |
(36.8--46.0) |
Canadian County, Oklahoma |
198 |
47.3 |
4.1 |
(39.2--55.4) |
Cleveland County, Oklahoma |
327 |
36.2 |
3.1 |
(30.1--42.3) |
Oklahoma County, Oklahoma |
1,027 |
41.5 |
1.8 |
(38.0--45.0) |
Tulsa County, Oklahoma |
1,237 |
40.0 |
1.7 |
(36.6--43.4) |
Clackamas County, Oregon |
409 |
37.5 |
2.8 |
(32.1--42.9) |
Multnomah County, Oregon |
670 |
38.9 |
2.2 |
(34.6--43.2) |
Washington County, Oregon |
481 |
33.9 |
2.6 |
(28.9--38.9) |
Allegheny County, Pennsylvania |
544 |
35.6 |
2.3 |
(31.0--40.2) |
Delaware County, Pennsylvania |
241 |
40.1 |
3.8 |
(32.7--47.5) |
Fayette County, Pennsylvania |
1,329 |
37.5 |
2.1 |
(33.4--41.6) |
Luzerne County, Pennsylvania |
1,980 |
37.9 |
2.0 |
(33.9--41.9) |
Montgomery County, Pennsylvania |
305 |
38.4 |
3.3 |
(31.9--44.9) |
Philadelphia County, Pennsylvania |
1,524 |
38.5 |
2.7 |
(33.2--43.8) |
Westmoreland County, Pennsylvania |
251 |
44.9 |
4.3 |
(36.4--53.4) |
Kent County, Rhode Island |
605 |
39.4 |
2.4 |
(34.6--44.2) |
Newport County, Rhode Island |
331 |
36.8 |
3.2 |
(30.5--43.1) |
Providence County, Rhode Island |
2,379 |
38.6 |
1.3 |
(36.1--41.1) |
Washington County, Rhode Island |
462 |
36.6 |
2.7 |
(31.4--41.8) |
Aiken County, South Carolina |
603 |
40.1 |
2.3 |
(35.6--44.6) |
Beaufort County, South Carolina |
788 |
36.2 |
2.1 |
(32.0--40.4) |
Berkeley County, South Carolina |
284 |
40.5 |
3.4 |
(33.8--47.2) |
Charleston County, South Carolina |
607 |
39.4 |
2.5 |
(34.6--44.2) |
Dorchester County, South Carolina |
228 |
36.5 |
3.8 |
(29.1--43.9) |
Greenville County, South Carolina |
481 |
40.6 |
2.6 |
(35.4--45.8) |
Horry County, South Carolina |
802 |
41.1 |
2.1 |
(37.0--45.2) |
Lexington County, South Carolina |
295 |
39.9 |
3.4 |
(33.3--46.5) |
Richland County, South Carolina |
377 |
34.8 |
2.9 |
(29.2--40.4) |
York County, South Carolina |
237 |
39.3 |
3.7 |
(32.0--46.6) |
TABLE 51. (Continued) Estimated prevalence of adults aged ≥20 years who reportedly had their blood cholesterol checked and were told by a health professional that it was high, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Minnehaha County, South Dakota |
604 |
33.9 |
2.2 |
(29.7--38.1) |
Pennington County, South Dakota |
646 |
35.7 |
2.2 |
(31.4--40.0) |
Davidson County, Tennessee |
234 |
26.1 |
3.6 |
(19.0--33.2) |
Hamilton County, Tennessee |
595 |
29.9 |
2.4 |
(25.2--34.6) |
Shelby County, Tennessee |
261 |
32.8 |
3.7 |
(25.6--40.0) |
Sullivan County, Tennessee |
354 |
29.1 |
2.8 |
(23.7--34.5) |
Bexar County, Texas |
880 |
37.9 |
2.1 |
(33.8--42.0) |
Cameron County, Texas |
422 |
41.3 |
3.0 |
(35.4--47.2) |
Collin County, Texas |
241 |
35.3 |
4.0 |
(27.5--43.1) |
Dallas County, Texas |
695 |
40.0 |
2.7 |
(34.8--45.2) |
Denton County, Texas |
231 |
33.8 |
3.6 |
(26.7--40.9) |
El Paso County, Texas |
1,043 |
39.1 |
1.8 |
(35.5--42.7) |
Harris County, Texas |
778 |
39.6 |
2.3 |
(35.1--44.1) |
Hidalgo County, Texas |
657 |
40.4 |
2.6 |
(35.4--45.4) |
Tarrant County, Texas |
974 |
37.8 |
1.9 |
(34.1--41.5) |
Travis County, Texas |
658 |
34.2 |
2.3 |
(29.8--38.6) |
Webb County, Texas |
306 |
34.9 |
3.5 |
(28.0--41.8) |
Williamson County, Texas |
309 |
34.8 |
3.3 |
(28.3--41.3) |
Davis County, Utah |
337 |
32.9 |
2.8 |
(27.3--38.5) |
Salt Lake County, Utah |
1,319 |
33.3 |
1.5 |
(30.3--36.3) |
Tooele County, Utah |
199 |
42.0 |
4.2 |
(33.7--50.3) |
Utah County, Utah |
397 |
31.4 |
2.6 |
(26.2--36.6) |
Weber County, Utah |
324 |
32.4 |
2.9 |
(26.7--38.1) |
Chittenden County, Vermont |
1,273 |
28.2 |
1.4 |
(25.4--31.0) |
Franklin County, Vermont |
415 |
36.4 |
2.7 |
(31.2--41.6) |
Orange County, Vermont |
312 |
38.0 |
3.2 |
(31.7--44.3) |
Rutland County, Vermont |
589 |
33.0 |
2.1 |
(28.8--37.2) |
Washington County, Vermont |
632 |
37.8 |
2.2 |
(33.4--42.2) |
Windsor County, Vermont |
628 |
37.5 |
2.2 |
(33.2--41.8) |
Arlington County, Virginia |
259 |
32.5 |
3.7 |
(25.2--39.8) |
Fairfax County, Virginia |
223 |
37.2 |
4.8 |
(27.7--46.7) |
Prince William County, Virginia |
231 |
33.1 |
3.9 |
(25.5--40.7) |
Alexandria city, Virginia |
233 |
33.4 |
4.4 |
(24.8--42.0) |
Benton County, Washington |
379 |
44.1 |
3.1 |
(38.0--50.2) |
Chelan County, Washington |
451 |
33.0 |
2.5 |
(28.0--38.0) |
Clark County, Washington |
1,460 |
35.8 |
1.5 |
(32.9--38.7) |
Douglas County, Washington |
445 |
39.1 |
2.9 |
(33.5--44.7) |
King County, Washington |
3,842 |
35.5 |
0.9 |
(33.7--37.3) |
Kitsap County, Washington |
858 |
38.0 |
2.0 |
(34.2--41.8) |
Pierce County, Washington |
1,601 |
36.9 |
1.4 |
(34.1--39.7) |
Snohomish County, Washington |
2,346 |
37.1 |
1.2 |
(34.7--39.5) |
Spokane County, Washington |
1,160 |
38.9 |
1.7 |
(35.6--42.2) |
Thurston County, Washington |
1,582 |
34.3 |
1.4 |
(31.6--37.0) |
Whatcom County, Washington |
965 |
34.6 |
1.7 |
(31.2--38.0) |
Yakima County, Washington |
572 |
45.2 |
2.5 |
(40.3--50.1) |
Kanawha County, West Virginia |
442 |
39.5 |
2.7 |
(34.2--44.8) |
Milwaukee County, Wisconsin |
971 |
32.5 |
2.8 |
(27.0--38.0) |
Fremont County, Wyoming |
411 |
41.2 |
2.8 |
(35.7--46.7) |
Laramie County, Wyoming |
779 |
36.9 |
2.1 |
(32.9--40.9) |
Natrona County, Wyoming |
630 |
37.8 |
2.3 |
(33.3--42.3) |
Median |
37.4 |
|||
Range |
26.1--50.7 |
|||
* Standard error. † Confidence interval. § Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 53. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had coronary heart disease,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Grand Island, Nebraska |
558 |
7.7 |
1.2 |
(5.3--10.1) |
Grand Rapids-Wyoming, Michigan |
506 |
5.2 |
0.9 |
(3.4--7.0) |
Greeley, Colorado |
531 |
3.5 |
0.7 |
(2.1--4.9) |
Greensboro-High Point, North Carolina |
826 |
7.6 |
1.1 |
(5.4--9.8) |
Greenville, South Carolina |
881 |
5.8 |
0.8 |
(4.2--7.4) |
Gulfport-Biloxi, Mississippi |
500 |
6.4 |
1.3 |
(3.9--8.9) |
Hagerstown-Martinsburg, Maryland-West Virginia |
710 |
7.8 |
1.1 |
(5.7--9.9) |
Hartford-West Hartford-East Hartford, Connecticut |
2,357 |
5.0 |
0.5 |
(4.1--5.9) |
Hickory-Morganton-Lenoir, North Carolina |
858 |
7.9 |
1.1 |
(5.8--10.0) |
Hilo, Hawaii |
1,506 |
5.2 |
0.6 |
(4.1--6.3) |
Hilton Head Island-Beaufort, South Carolina |
939 |
5.9 |
0.8 |
(4.4--7.4) |
Homosassa Springs, Florida |
579 |
13.5 |
1.7 |
(10.2--16.8) |
Honolulu, Hawaii |
2,899 |
5.0 |
0.4 |
(4.1--5.9) |
Houston-Sugar Land-Baytown, Texas |
1,555 |
5.8 |
0.6 |
(4.6--7.0) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
597 |
11.6 |
1.5 |
(8.6--14.6) |
Idaho Falls, Idaho |
505 |
5.4 |
1.0 |
(3.4--7.4) |
Indianapolis-Carmel, Indiana |
1,558 |
6.9 |
0.8 |
(5.4--8.4) |
Jackson, Mississippi |
1,154 |
6.6 |
0.8 |
(5.0--8.2) |
Jacksonville, Florida |
3,984 |
6.6 |
0.5 |
(5.7--7.5) |
Kahului-Wailuku, Hawaii |
1,501 |
4.4 |
0.6 |
(3.2--5.6) |
Kalispell, Montana |
551 |
5.3 |
1.1 |
(3.2--7.4) |
Kansas City, Missouri-Kansas |
3,339 |
5.7 |
0.4 |
(4.8--6.6) |
Kapaa, Hawaii |
648 |
5.3 |
1.0 |
(3.4--7.2) |
Kennewick-Richland-Pasco, Washington |
681 |
4.6 |
0.8 |
(3.1--6.1) |
Key West-Marathon, Florida |
503 |
7.1 |
1.4 |
(4.4--9.8) |
Kingsport-Bristol, Tennessee-Virginia |
591 |
9.9 |
1.5 |
(6.9--12.9) |
Lake Charles, Louisiana |
535 |
6.0 |
1.1 |
(3.8--8.2) |
Lake City, Florida |
578 |
8.6 |
1.6 |
(5.5--11.7) |
Lakeland-Winter Haven, Florida |
522 |
9.6 |
1.4 |
(6.8--12.4) |
Laredo, Texas |
507 |
7.3 |
2.2 |
(3.0--11.6) |
Las Cruces, New Mexico |
703 |
7.1 |
1.2 |
(4.8--9.4) |
Las Vegas-Paradise, Nevada |
1,357 |
6.4 |
0.7 |
(5.0--7.8) |
Lebanon, New Hampshire-Vermont |
1,603 |
5.0 |
0.5 |
(4.0--6.0) |
Lewiston, Idaho-Washington |
515 |
7.7 |
1.3 |
(5.1--10.3) |
Lincoln, Nebraska |
708 |
4.2 |
0.7 |
(2.8--5.6) |
Little Rock-North Little Rock, Arkansas |
1,233 |
4.9 |
0.6 |
(3.8--6.0) |
Los Angeles-Long Beach-Glendale, California¶ |
867 |
4.4 |
0.7 |
(2.9--5.9) |
Louisville, Kentucky-Indiana |
859 |
6.9 |
0.9 |
(5.2--8.6) |
Manchester-Nashua, New Hampshire |
1,435 |
6.5 |
0.7 |
(5.2--7.8) |
McAllen-Edinburg-Mission, Texas |
947 |
6.6 |
0.9 |
(4.9--8.3) |
Memphis, Tennessee-Mississippi-Arkansas |
979 |
5.6 |
0.9 |
(3.8--7.4) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,157 |
5.5 |
0.6 |
(4.2--6.8) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,528 |
5.2 |
0.8 |
(3.6--6.8) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,738 |
4.7 |
0.4 |
(3.9--5.5) |
Mobile, Alabama |
580 |
11.7 |
1.8 |
(8.2--15.2) |
Montgomery, Alabama |
510 |
4.4 |
1.1 |
(2.3--6.5) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
909 |
8.3 |
1.0 |
(6.4--10.2) |
Naples-Marco Island, Florida |
813 |
6.7 |
1.1 |
(4.6--8.8) |
Nashville-Davidson-Murfreesboro, Tennessee |
606 |
5.1 |
0.9 |
(3.3--6.9) |
Nassau-Suffolk, New York¶ |
814 |
5.8 |
0.8 |
(4.2--7.4) |
Newark-Union, New Jersey-Pennsylvania¶ |
1,994 |
5.0 |
0.5 |
(3.9--6.1) |
New Haven-Milford, Connecticut |
1,782 |
5.4 |
0.6 |
(4.3--6.5) |
New Orleans-Metairie-Kenner, Louisiana |
1,236 |
6.4 |
0.8 |
(4.9--7.9) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,387 |
5.5 |
0.5 |
(4.6--6.4) |
Nogales, Arizona |
522 |
5.7 |
1.8 |
(2.3--9.1) |
Norwich-New London, Connecticut |
497 |
6.2 |
1.2 |
(3.8--8.6) |
Ocala, Florida |
629 |
11.2 |
1.5 |
(8.3--14.1) |
Ogden-Clearfield, Utah |
841 |
4.7 |
0.7 |
(3.3--6.1) |
Okeechobee, Florida |
721 |
11.9 |
1.4 |
(9.2--14.6) |
Oklahoma City, Oklahoma |
2,268 |
7.4 |
0.6 |
(6.3--8.5) |
Olympia, Washington |
1,859 |
4.9 |
0.5 |
(3.9--5.9) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,535 |
5.8 |
0.7 |
(4.4--7.2) |
Orlando-Kissimmee, Florida |
2,687 |
7.0 |
0.7 |
(5.6--8.4) |
Palm Bay-Melbourne-Titusville, Florida |
552 |
8.2 |
1.3 |
(5.7--10.7) |
TABLE 53. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had coronary heart disease,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Palm Coast, Florida |
533 |
8.2 |
1.3 |
(5.6--10.8) |
Panama City-Lynn Haven, Florida |
539 |
8.1 |
1.3 |
(5.5--10.7) |
Pensacola-Ferry Pass-Brent, Florida |
1,028 |
7.5 |
0.8 |
(5.8--9.2) |
Philadelphia, Pennsylvania¶ |
2,854 |
6.2 |
0.7 |
(4.7--7.7) |
Phoenix-Mesa-Scottsdale, Arizona |
1,278 |
7.0 |
1.0 |
(5.1--8.9) |
Pittsburgh, Pennsylvania |
2,936 |
6.9 |
0.7 |
(5.5--8.3) |
Portland-South Portland-Biddeford, Maine |
2,087 |
6.9 |
0.7 |
(5.6--8.2) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,940 |
4.0 |
0.3 |
(3.4--4.6) |
Port St. Lucie-Fort Pierce, Florida |
1,073 |
8.4 |
0.9 |
(6.7--10.1) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,096 |
6.6 |
0.3 |
(6.0--7.2) |
Provo-Orem, Utah |
577 |
3.2 |
0.6 |
(2.0--4.4) |
Raleigh-Cary, North Carolina |
1,084 |
6.1 |
0.8 |
(4.5--7.7) |
Rapid City, South Dakota |
971 |
7.2 |
0.9 |
(5.5--8.9) |
Reno-Sparks, Nevada |
1,388 |
6.3 |
0.7 |
(4.8--7.8) |
Richmond, Virginia |
858 |
6.3 |
0.9 |
(4.4--8.2) |
Riverside-San Bernardino-Ontario, California |
685 |
6.8 |
1.1 |
(4.6--9.0) |
Riverton, Wyoming |
499 |
7.1 |
1.3 |
(4.6--9.6) |
Rockingham County-Strafford County, New Hampshire¶ |
1,610 |
6.3 |
0.7 |
(5.0--7.6) |
Rutland, Vermont |
677 |
6.1 |
0.9 |
(4.4--7.8) |
St. Louis, Missouri-Illinois |
1,559 |
6.0 |
0.7 |
(4.6--7.4) |
Salt Lake City, Utah |
2,133 |
3.5 |
0.4 |
(2.7--4.3) |
San Antonio, Texas |
1,408 |
6.3 |
0.6 |
(5.0--7.6) |
San Diego-Carlsbad-San Marcos, California |
512 |
4.7 |
0.9 |
(2.9--6.5) |
San Francisco-Oakland-Fremont, California |
776 |
3.6 |
0.7 |
(2.2--5.0) |
Santa Fe, New Mexico |
523 |
3.8 |
0.8 |
(2.2--5.4) |
Sarasota-Bradenton-Venice, Florida |
1,323 |
8.7 |
0.9 |
(6.9--10.5) |
Scranton-Wilkes-Barre, Pennsylvania |
2,495 |
7.6 |
0.9 |
(5.8--9.4) |
Seaford, Delaware |
1,230 |
10.7 |
0.9 |
(8.9--12.5) |
Seattle-Bellevue-Everett, Washington¶ |
7,138 |
4.4 |
0.3 |
(3.9--4.9) |
Sebring, Florida |
761 |
11.6 |
1.3 |
(9.0--14.2) |
Sioux City, Iowa-Nebraska-South Dakota |
887 |
6.4 |
1.4 |
(3.6--9.2) |
Sioux Falls, South Dakota |
973 |
5.2 |
0.6 |
(4.0--6.4) |
Spokane, Washington |
1,367 |
5.0 |
0.6 |
(3.9--6.1) |
Springfield, Massachusetts |
2,568 |
6.8 |
0.6 |
(5.6--8.0) |
Tacoma, Washington¶ |
1,902 |
5.6 |
0.6 |
(4.4--6.8) |
Tallahassee, Florida |
2,087 |
4.7 |
0.8 |
(3.2--6.2) |
Tampa-St. Petersburg-Clearwater, Florida |
2,180 |
7.6 |
0.6 |
(6.4--8.8) |
Toledo, Ohio |
978 |
7.7 |
1.0 |
(5.8--9.6) |
Topeka, Kansas |
776 |
6.6 |
1.1 |
(4.5--8.7) |
Tucson, Arizona |
743 |
5.6 |
0.9 |
(3.9--7.3) |
Tulsa, Oklahoma |
2,093 |
7.9 |
0.7 |
(6.5--9.3) |
Tuscaloosa, Alabama |
536 |
3.3 |
0.9 |
(1.6--5.0) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,151 |
6.0 |
0.9 |
(4.1--7.9) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,484 |
6.8 |
0.7 |
(5.4--8.2) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,761 |
4.6 |
0.7 |
(3.2--6.0) |
Wauchula, Florida |
683 |
10.3 |
2.8 |
(4.9--15.7) |
Wenatchee, Washington |
1,073 |
6.3 |
0.7 |
(4.8--7.8) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
545 |
8.0 |
1.2 |
(5.6--10.4) |
Wichita, Kansas |
1,554 |
7.4 |
0.7 |
(6.0--8.8) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,762 |
7.1 |
0.7 |
(5.8--8.4) |
Wilmington, North Carolina |
611 |
7.9 |
1.2 |
(5.5--10.3) |
Worcester, Massachusetts |
2,734 |
5.9 |
0.5 |
(4.9--6.9) |
Yakima, Washington |
751 |
5.3 |
0.8 |
(3.7--6.9) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,036 |
10.8 |
1.5 |
(7.8--13.8) |
Yuma, Arizona |
552 |
9.1 |
1.2 |
(6.7--11.5) |
Median |
6.3 |
|||
Range |
2.7--13.5 |
|||
* Including heart attack and angina. † Standard error. § Confidence interval. ¶ Metropolitan division. |
TABLE 54. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had coronary heart disease,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
629 |
11.2 |
1.5 |
(8.3--14.1) |
Martin County, Florida |
546 |
8.9 |
1.2 |
(6.6--11.2) |
Miami-Dade County, Florida |
612 |
5.5 |
0.8 |
(3.9--7.1) |
Monroe County, Florida |
503 |
7.1 |
1.4 |
(4.4--9.8) |
Nassau County, Florida |
541 |
8.3 |
1.2 |
(5.9--10.7) |
Okeechobee County, Florida |
721 |
11.9 |
1.4 |
(9.2--14.6) |
Orange County, Florida |
820 |
5.9 |
1.1 |
(3.7--8.1) |
Osceola County, Florida |
715 |
6.8 |
1.0 |
(4.8--8.8) |
Palm Beach County, Florida |
545 |
8.0 |
1.2 |
(5.6--10.4) |
Pasco County, Florida |
551 |
9.0 |
1.3 |
(6.5--11.5) |
Pinellas County, Florida |
542 |
8.5 |
1.2 |
(6.2--10.8) |
Polk County, Florida |
522 |
9.6 |
1.4 |
(6.8--12.4) |
St. Johns County, Florida |
563 |
7.3 |
1.3 |
(4.7--9.9) |
St. Lucie County, Florida |
527 |
8.0 |
1.2 |
(5.6--10.4) |
Santa Rosa County, Florida |
500 |
9.4 |
1.4 |
(6.6--12.2) |
Sarasota County, Florida |
824 |
8.0 |
1.2 |
(5.7--10.3) |
Seminole County, Florida |
537 |
7.0 |
2.0 |
(3.1--10.9) |
Volusia County, Florida |
509 |
7.4 |
1.2 |
(5.0--9.8) |
Wakulla County, Florida |
547 |
7.3 |
1.2 |
(4.9--9.7) |
Clayton County, Georgia |
340 |
7.9 |
1.8 |
(4.5--11.3) |
Cobb County, Georgia |
406 |
5.7 |
1.4 |
(3.0--8.4) |
DeKalb County, Georgia |
424 |
3.8 |
0.9 |
(1.9--5.7) |
Fulton County, Georgia |
409 |
3.2 |
0.8 |
(1.7--4.7) |
Gwinnett County, Georgia |
317 |
3.0 |
0.8 |
(1.4--4.6) |
Hawaii County, Hawaii |
1,506 |
5.2 |
0.6 |
(4.1--6.3) |
Honolulu County, Hawaii |
2,899 |
5.0 |
0.4 |
(4.1--5.9) |
Kauai County, Hawaii |
648 |
5.3 |
1.0 |
(3.4--7.2) |
Maui County, Hawaii |
1,501 |
4.4 |
0.6 |
(3.2--5.6) |
Ada County, Idaho |
645 |
4.8 |
0.9 |
(3.1--6.5) |
Bonneville County, Idaho |
390 |
5.2 |
1.1 |
(3.0--7.4) |
Canyon County, Idaho |
484 |
6.6 |
1.3 |
(4.0--9.2) |
Nez Perce County, Idaho |
271 |
6.6 |
1.5 |
(3.7--9.5) |
Cook County, Illinois |
1,646 |
5.6 |
0.7 |
(4.3--6.9) |
DuPage County, Illinois |
381 |
3.4 |
0.9 |
(1.6--5.2) |
Lake County, Illinois |
293 |
3.6 |
1.0 |
(1.5--5.7) |
Lake County, Indiana |
564 |
8.1 |
1.6 |
(4.9--11.3) |
Marion County, Indiana |
1,110 |
6.1 |
0.8 |
(4.5--7.7) |
Polk County, Iowa |
727 |
5.2 |
0.8 |
(3.7--6.7) |
Johnson County, Kansas |
1,541 |
4.7 |
0.5 |
(3.6--5.8) |
Sedgwick County, Kansas |
1,171 |
7.7 |
0.9 |
(6.0--9.4) |
Shawnee County, Kansas |
545 |
6.8 |
1.5 |
(4.0--9.6) |
Wyandotte County, Kansas |
346 |
7.3 |
1.3 |
(4.8--9.8) |
Jefferson County, Kentucky |
473 |
7.6 |
1.2 |
(5.2--10.0) |
Calcasieu Parish, Louisiana |
513 |
6.1 |
1.1 |
(3.9--8.3) |
East Baton Rouge Parish, Louisiana |
501 |
4.7 |
1.4 |
(1.9--7.5) |
Jefferson Parish, Louisiana |
420 |
6.7 |
1.3 |
(4.2--9.2) |
Orleans Parish, Louisiana |
295 |
5.6 |
1.3 |
(3.0--8.2) |
St. Tammany Parish, Louisiana |
331 |
6.1 |
1.4 |
(3.3--8.9) |
Cumberland County, Maine |
1,075 |
6.5 |
0.8 |
(4.9--8.1) |
Kennebec County, Maine |
547 |
6.3 |
1.1 |
(4.2--8.4) |
Penobscot County, Maine |
656 |
7.7 |
1.1 |
(5.5--9.9) |
Sagadahoc County, Maine |
279 |
6.8 |
1.6 |
(3.7--9.9) |
York County, Maine |
733 |
7.4 |
1.1 |
(5.2--9.6) |
Anne Arundel County, Maryland |
556 |
4.4 |
0.9 |
(2.7--6.1) |
Baltimore County, Maryland |
977 |
6.8 |
0.9 |
(5.1--8.5) |
Charles County, Maryland |
294 |
5.1 |
1.2 |
(2.8--7.4) |
Frederick County, Maryland |
539 |
3.5 |
0.7 |
(2.0--5.0) |
Harford County, Maryland |
304 |
5.5 |
1.2 |
(3.1--7.9) |
Howard County, Maryland |
336 |
3.3 |
0.9 |
(1.5--5.1) |
Montgomery County, Maryland |
1,097 |
4.8 |
0.8 |
(3.2--6.4) |
Prince George´s County, Maryland |
645 |
5.0 |
1.0 |
(3.1--6.9) |
Queen Anne´s County, Maryland |
256 |
5.0 |
1.4 |
(2.3--7.7) |
Washington County, Maryland |
442 |
5.8 |
1.1 |
(3.7--7.9) |
TABLE 54. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had coronary heart disease,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
496 |
6.1 |
1.0 |
(4.1--8.1) |
Barnstable County, Massachusetts |
583 |
7.1 |
1.1 |
(4.9--9.3) |
Bristol County, Massachusetts |
3,634 |
7.6 |
0.6 |
(6.3--8.9) |
Essex County, Massachusetts |
2,950 |
6.6 |
0.9 |
(4.9--8.3) |
Hampden County, Massachusetts |
1,994 |
7.9 |
0.9 |
(6.2--9.6) |
Hampshire County, Massachusetts |
367 |
4.7 |
1.0 |
(2.8--6.6) |
Middlesex County, Massachusetts |
3,939 |
4.6 |
0.4 |
(3.9--5.3) |
Norfolk County, Massachusetts |
1,252 |
6.2 |
0.7 |
(4.9--7.5) |
Plymouth County, Massachusetts |
840 |
5.4 |
0.8 |
(3.9--6.9) |
Suffolk County, Massachusetts |
2,373 |
4.1 |
0.5 |
(3.2--5.0) |
Worcester County, Massachusetts |
2,734 |
5.9 |
0.5 |
(4.9--6.9) |
Kent County, Michigan |
378 |
4.7 |
1.0 |
(2.8--6.6) |
Macomb County, Michigan |
408 |
7.0 |
1.3 |
(4.5--9.5) |
Oakland County, Michigan |
774 |
5.6 |
0.8 |
(4.0--7.2) |
Wayne County, Michigan |
1,627 |
7.1 |
0.7 |
(5.7--8.5) |
Anoka County, Minnesota |
271 |
5.7 |
1.4 |
(2.9--8.5) |
Dakota County, Minnesota |
348 |
5.1 |
1.3 |
(2.6--7.6) |
Hennepin County, Minnesota |
937 |
5.2 |
0.8 |
(3.7--6.7) |
Ramsey County, Minnesota |
412 |
5.1 |
1.2 |
(2.8--7.4) |
DeSoto County, Mississippi |
259 |
5.1 |
1.2 |
(2.8--7.4) |
Harrison County, Mississippi |
379 |
6.6 |
1.3 |
(4.0--9.2) |
Hinds County, Mississippi |
520 |
8.0 |
1.4 |
(5.2--10.8) |
Rankin County, Mississippi |
297 |
5.9 |
1.4 |
(3.2--8.6) |
Jackson County, Missouri |
493 |
4.9 |
1.0 |
(3.0--6.8) |
St. Louis County, Missouri |
453 |
6.6 |
1.3 |
(4.0--9.2) |
St. Louis City, Missouri |
466 |
6.5 |
1.2 |
(4.2--8.8) |
Flathead County, Montana |
551 |
5.3 |
1.1 |
(3.2--7.4) |
Yellowstone County, Montana |
449 |
4.3 |
0.8 |
(2.7--5.9) |
Dakota County, Nebraska |
479 |
4.7 |
1.0 |
(2.7--6.7) |
Douglas County, Nebraska |
599 |
4.9 |
0.9 |
(3.1--6.7) |
Hall County, Nebraska |
372 |
7.9 |
1.4 |
(5.2--10.6) |
Lancaster County, Nebraska |
547 |
4.0 |
0.8 |
(2.5--5.5) |
Sarpy County, Nebraska |
378 |
5.9 |
1.5 |
(3.1--8.7) |
Clark County, Nevada |
1,357 |
6.4 |
0.7 |
(5.0--7.8) |
Washoe County, Nevada |
1,365 |
6.2 |
0.8 |
(4.7--7.7) |
Grafton County, New Hampshire |
513 |
4.6 |
0.8 |
(3.0--6.2) |
Hillsborough County, New Hampshire |
1,435 |
6.5 |
0.7 |
(5.2--7.8) |
Merrimack County, New Hampshire |
643 |
6.6 |
0.9 |
(4.8--8.4) |
Rockingham County, New Hampshire |
991 |
6.3 |
0.9 |
(4.6--8.0) |
Strafford County, New Hampshire |
619 |
6.6 |
1.2 |
(4.2--9.0) |
Bergen County, New Jersey |
382 |
5.2 |
1.1 |
(3.1--7.3) |
Burlington County, New Jersey |
344 |
5.0 |
1.1 |
(2.8--7.2) |
Camden County, New Jersey |
324 |
8.4 |
2.1 |
(4.3--12.5) |
Essex County, New Jersey |
529 |
5.2 |
1.1 |
(3.1--7.3) |
Gloucester County, New Jersey |
333 |
6.6 |
1.6 |
(3.4--9.8) |
Hudson County, New Jersey |
567 |
7.8 |
1.3 |
(5.2--10.4) |
Hunterdon County, New Jersey |
366 |
6.2 |
2.1 |
(2.0--10.4) |
Middlesex County, New Jersey |
382 |
5.1 |
0.9 |
(3.2--7.0) |
Monmouth County, New Jersey |
325 |
8.6 |
1.7 |
(5.2--12.0) |
Morris County, New Jersey |
416 |
4.9 |
1.0 |
(2.9--6.9) |
Ocean County, New Jersey |
330 |
10.9 |
2.9 |
(5.2--16.6) |
Passaic County, New Jersey |
282 |
7.4 |
1.7 |
(4.0--10.8) |
Somerset County, New Jersey |
359 |
6.2 |
1.6 |
(3.1--9.3) |
Sussex County, New Jersey |
336 |
5.3 |
1.3 |
(2.8--7.8) |
Union County, New Jersey |
313 |
6.4 |
1.5 |
(3.4--9.4) |
Warren County, New Jersey |
309 |
5.7 |
1.4 |
(2.9--8.5) |
Bernalillo County, New Mexico |
1,098 |
4.0 |
0.5 |
(2.9--5.1) |
Dona Ana County, New Mexico |
703 |
7.1 |
1.2 |
(4.8--9.4) |
Sandoval County, New Mexico |
507 |
6.3 |
1.7 |
(3.0--9.6) |
San Juan County, New Mexico |
675 |
6.4 |
1.2 |
(4.1--8.7) |
Santa Fe County, New Mexico |
523 |
3.8 |
0.8 |
(2.2--5.4) |
Valencia County, New Mexico |
313 |
6.2 |
1.4 |
(3.4--9.0) |
Erie County, New York |
403 |
7.1 |
1.4 |
(4.3--9.9) |
TABLE 54. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had coronary heart disease,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
414 |
5.4 |
1.3 |
(2.9--7.9) |
Nassau County, New York |
378 |
5.9 |
1.2 |
(3.6--8.2) |
New York County, New York |
561 |
4.6 |
1.1 |
(2.5--6.7) |
Queens County, New York |
437 |
5.9 |
1.1 |
(3.7--8.1) |
Suffolk County, New York |
436 |
5.5 |
1.1 |
(3.4--7.6) |
Westchester County, New York |
280 |
6.6 |
1.6 |
(3.5--9.7) |
Buncombe County, North Carolina |
353 |
6.2 |
1.2 |
(3.8--8.6) |
Cabarrus County, North Carolina |
357 |
7.1 |
1.4 |
(4.4--9.8) |
Catawba County, North Carolina |
405 |
7.4 |
1.7 |
(4.0--10.8) |
Cumberland County, North Carolina |
375 |
5.9 |
1.3 |
(3.3--8.5) |
Durham County, North Carolina |
330 |
4.3 |
1.2 |
(2.0--6.6) |
Gaston County, North Carolina |
387 |
8.8 |
1.4 |
(6.0--11.6) |
Guilford County, North Carolina |
386 |
5.9 |
1.2 |
(3.5--8.3) |
Henderson County, North Carolina |
296 |
10.5 |
2.1 |
(6.4--14.6) |
Johnston County, North Carolina |
434 |
8.9 |
1.6 |
(5.7--12.1) |
Mecklenburg County, North Carolina |
678 |
5.5 |
0.9 |
(3.7--7.3) |
New Hanover County, North Carolina |
386 |
6.8 |
1.5 |
(3.9--9.7) |
Orange County, North Carolina |
345 |
6.2 |
1.8 |
(2.7--9.7) |
Randolph County, North Carolina |
371 |
8.5 |
1.5 |
(5.6--11.4) |
Union County, North Carolina |
375 |
4.7 |
1.1 |
(2.6--6.8) |
Wake County, North Carolina |
605 |
5.6 |
1.0 |
(3.7--7.5) |
Burleigh County, North Dakota |
496 |
6.1 |
1.1 |
(4.0--8.2) |
Cass County, North Dakota |
674 |
4.9 |
0.7 |
(3.5--6.3) |
Cuyahoga County, Ohio |
760 |
7.5 |
1.0 |
(5.6--9.4) |
Franklin County, Ohio |
754 |
5.8 |
0.9 |
(4.1--7.5) |
Hamilton County, Ohio |
817 |
5.9 |
0.8 |
(4.3--7.5) |
Licking County, Ohio |
250 |
9.8 |
2.0 |
(5.8--13.8) |
Lucas County, Ohio |
776 |
7.0 |
0.8 |
(5.4--8.6) |
Mahoning County, Ohio |
813 |
8.6 |
1.4 |
(5.8--11.4) |
Montgomery County, Ohio |
742 |
7.4 |
1.0 |
(5.5--9.3) |
Stark County, Ohio |
788 |
8.4 |
1.0 |
(6.4--10.4) |
Summit County, Ohio |
746 |
7.0 |
0.9 |
(5.2--8.8) |
Canadian County, Oklahoma |
247 |
5.8 |
1.4 |
(3.1--8.5) |
Cleveland County, Oklahoma |
411 |
6.6 |
1.1 |
(4.4--8.8) |
Oklahoma County, Oklahoma |
1,275 |
7.5 |
0.8 |
(6.0--9.0) |
Tulsa County, Oklahoma |
1,507 |
6.9 |
0.7 |
(5.5--8.3) |
Clackamas County, Oregon |
478 |
4.1 |
0.9 |
(2.4--5.8) |
Multnomah County, Oregon |
812 |
4.3 |
0.7 |
(2.9--5.7) |
Washington County, Oregon |
553 |
2.4 |
0.6 |
(1.3--3.5) |
Allegheny County, Pennsylvania |
634 |
6.5 |
1.0 |
(4.5--8.5) |
Delaware County, Pennsylvania |
271 |
6.4 |
1.6 |
(3.2--9.6) |
Fayette County, Pennsylvania |
1,618 |
10.8 |
1.6 |
(7.8--13.8) |
Luzerne County, Pennsylvania |
2,306 |
7.5 |
0.6 |
(6.2--8.8) |
Montgomery County, Pennsylvania |
336 |
6.4 |
1.5 |
(3.5--9.3) |
Philadelphia County, Pennsylvania |
1,805 |
7.7 |
1.6 |
(4.6--10.8) |
Westmoreland County, Pennsylvania |
293 |
8.6 |
2.1 |
(4.4--12.8) |
Kent County, Rhode Island |
656 |
5.6 |
0.9 |
(3.9--7.3) |
Newport County, Rhode Island |
361 |
5.8 |
1.1 |
(3.7--7.9) |
Providence County, Rhode Island |
2,720 |
6.9 |
0.5 |
(5.8--8.0) |
Washington County, Rhode Island |
513 |
5.7 |
1.1 |
(3.6--7.8) |
Aiken County, South Carolina |
675 |
6.1 |
0.9 |
(4.3--7.9) |
Beaufort County, South Carolina |
847 |
5.3 |
0.8 |
(3.8--6.8) |
Berkeley County, South Carolina |
324 |
6.2 |
1.5 |
(3.3--9.1) |
Charleston County, South Carolina |
687 |
4.3 |
1.2 |
(1.9--6.7) |
Dorchester County, South Carolina |
252 |
5.4 |
1.5 |
(2.4--8.4) |
Greenville County, South Carolina |
554 |
5.6 |
1.1 |
(3.5--7.7) |
Horry County, South Carolina |
909 |
8.3 |
1.0 |
(6.4--10.2) |
Lexington County, South Carolina |
329 |
6.2 |
1.4 |
(3.4--9.0) |
Richland County, South Carolina |
440 |
4.0 |
0.9 |
(2.3--5.7) |
York County, South Carolina |
279 |
5.1 |
1.3 |
(2.6--7.6) |
Minnehaha County, South Dakota |
723 |
5.3 |
0.7 |
(3.8--6.8) |
Pennington County, South Dakota |
761 |
6.9 |
0.9 |
(5.1--8.7) |
Davidson County, Tennessee |
283 |
4.8 |
1.2 |
(2.4--7.2) |
TABLE 54. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had coronary heart disease,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
686 |
6.6 |
1.0 |
(4.7--8.5) |
Shelby County, Tennessee |
299 |
5.7 |
1.3 |
(3.1--8.3) |
Sullivan County, Tennessee |
424 |
9.6 |
1.6 |
(6.4--12.8) |
Bexar County, Texas |
1,054 |
6.0 |
0.7 |
(4.5--7.5) |
Cameron County, Texas |
616 |
7.3 |
1.3 |
(4.8--9.8) |
Collin County, Texas |
260 |
6.0 |
1.8 |
(2.4--9.6) |
Dallas County, Texas |
846 |
5.8 |
0.9 |
(4.0--7.6) |
Denton County, Texas |
257 |
5.4 |
1.4 |
(2.6--8.2) |
El Paso County, Texas |
1,505 |
4.5 |
0.5 |
(3.4--5.6) |
Harris County, Texas |
972 |
4.8 |
0.7 |
(3.4--6.2) |
Hidalgo County, Texas |
947 |
6.6 |
0.9 |
(4.9--8.3) |
Tarrant County, Texas |
1,142 |
5.9 |
0.7 |
(4.6--7.2) |
Travis County, Texas |
792 |
4.6 |
0.8 |
(3.0--6.2) |
Webb County, Texas |
507 |
7.3 |
2.2 |
(3.0--11.6) |
Williamson County, Texas |
362 |
4.1 |
1.0 |
(2.1--6.1) |
Davis County, Utah |
420 |
4.2 |
0.9 |
(2.4--6.0) |
Salt Lake County, Utah |
1,643 |
3.5 |
0.4 |
(2.6--4.4) |
Tooele County, Utah |
249 |
5.0 |
1.4 |
(2.3--7.7) |
Utah County, Utah |
543 |
3.2 |
0.6 |
(2.0--4.4) |
Weber County, Utah |
403 |
5.2 |
1.0 |
(3.3--7.1) |
Chittenden County, Vermont |
1,411 |
4.2 |
0.5 |
(3.2--5.2) |
Franklin County, Vermont |
465 |
7.4 |
1.5 |
(4.5--10.3) |
Orange County, Vermont |
369 |
3.8 |
0.8 |
(2.2--5.4) |
Rutland County, Vermont |
677 |
6.1 |
0.9 |
(4.4--7.8) |
Washington County, Vermont |
690 |
5.9 |
0.9 |
(4.2--7.6) |
Windsor County, Vermont |
721 |
6.1 |
0.9 |
(4.4--7.8) |
Arlington County, Virginia |
295 |
2.0 |
0.7 |
(0.6--3.4) |
Fairfax County, Virginia |
248 |
4.1 |
1.8 |
(0.5--7.7) |
Prince William County, Virginia |
280 |
4.0 |
1.3 |
(1.5--6.5) |
Alexandria city, Virginia |
261 |
3.7 |
1.2 |
(1.4--6.0) |
Benton County, Washington |
450 |
4.7 |
0.9 |
(2.9--6.5) |
Chelan County, Washington |
542 |
6.6 |
1.0 |
(4.6--8.6) |
Clark County, Washington |
1,690 |
4.7 |
0.5 |
(3.8--5.6) |
Douglas County, Washington |
531 |
5.9 |
1.0 |
(4.0--7.8) |
King County, Washington |
4,411 |
4.3 |
0.3 |
(3.7--4.9) |
Kitsap County, Washington |
1,004 |
5.1 |
0.7 |
(3.8--6.4) |
Pierce County, Washington |
1,902 |
5.4 |
0.6 |
(4.3--6.5) |
Snohomish County, Washington |
2,727 |
5.1 |
0.4 |
(4.3--5.9) |
Spokane County, Washington |
1,367 |
5.0 |
0.6 |
(3.9--6.1) |
Thurston County, Washington |
1,859 |
4.9 |
0.5 |
(3.9--5.9) |
Whatcom County, Washington |
1,167 |
4.2 |
0.6 |
(3.0--5.4) |
Yakima County, Washington |
751 |
5.3 |
0.8 |
(3.7--6.9) |
Kanawha County, West Virginia |
505 |
10.5 |
1.5 |
(7.5--13.5) |
Milwaukee County, Wisconsin |
1,174 |
4.8 |
1.0 |
(2.8--6.8) |
Fremont County, Wyoming |
499 |
7.1 |
1.3 |
(4.6--9.6) |
Laramie County, Wyoming |
900 |
6.0 |
0.8 |
(4.4--7.6) |
Natrona County, Wyoming |
748 |
6.6 |
1.0 |
(4.7--8.5) |
Median |
6.0 |
|||
Range |
2.0--13.5 |
|||
* Including heart attack and angina. † Standard error. § Confidence interval. |
TABLE 56. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had a stroke, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Gainesville, Florida |
1,075 |
2.8 |
0.8 |
(1.2--4.3) |
Grand Island, Nebraska |
564 |
3.7 |
0.8 |
(2.1--5.2) |
Grand Rapids-Wyoming, Michigan |
508 |
1.7 |
0.7 |
(0.3--3.0) |
Greeley, Colorado |
537 |
1.9 |
0.6 |
(0.7--3.0) |
Greensboro-High Point, North Carolina |
830 |
2.6 |
0.7 |
(1.2--3.9) |
Greenville, South Carolina |
882 |
1.8 |
0.4 |
(1.0--2.5) |
Gulfport-Biloxi, Mississippi |
502 |
3.9 |
0.8 |
(2.3--5.4) |
Hagerstown-Martinsburg, Maryland-West Virginia |
712 |
2.9 |
0.8 |
(1.3--4.4) |
Hartford-West Hartford-East Hartford, Connecticut |
2,371 |
1.8 |
0.2 |
(1.4--2.1) |
Hickory-Morganton-Lenoir, North Carolina |
866 |
3.1 |
0.5 |
(2.1--4.0) |
Hilo, Hawaii |
1,516 |
2.9 |
0.5 |
(1.9--3.8) |
Hilton Head Island-Beaufort, South Carolina |
942 |
2.5 |
0.5 |
(1.5--3.4) |
Homosassa Springs, Florida |
580 |
2.9 |
0.6 |
(1.7--4.0) |
Honolulu, Hawaii |
2,912 |
2.4 |
0.3 |
(1.8--2.9) |
Houston-Sugar Land-Baytown, Texas |
1,555 |
2.2 |
0.3 |
(1.6--2.7) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
601 |
5.3 |
1.2 |
(2.9--7.6) |
Idaho Falls, Idaho |
507 |
3.1 |
0.7 |
(1.7--4.4) |
Indianapolis-Carmel, Indiana |
1,576 |
2.6 |
0.4 |
(1.8--3.3) |
Jackson, Mississippi |
1,164 |
3.2 |
0.6 |
(2.0--4.3) |
Jacksonville, Florida |
4,005 |
3.0 |
0.3 |
(2.4--3.5) |
Kahului-Wailuku, Hawaii |
1,508 |
2.1 |
0.4 |
(1.3--2.8) |
Kalispell, Montana |
555 |
2.3 |
0.7 |
(0.9--3.6) |
Kansas City, Missouri-Kansas |
3,355 |
2.9 |
0.4 |
(2.1--3.6) |
Kapaa, Hawaii |
652 |
2.6 |
0.7 |
(1.2--3.9) |
Kennewick-Richland-Pasco, Washington |
682 |
1.8 |
0.5 |
(0.8--2.7) |
Key West-Marathon, Florida |
505 |
3.2 |
0.9 |
(1.4--4.9) |
Kingsport-Bristol, Tennessee-Virginia |
595 |
3.9 |
0.8 |
(2.3--5.4) |
Lake Charles, Louisiana |
539 |
3.2 |
0.9 |
(1.4--4.9) |
Lake City, Florida |
586 |
4.9 |
1.3 |
(2.3--7.4) |
Lakeland-Winter Haven, Florida |
526 |
3.8 |
0.8 |
(2.2--5.3) |
Laredo, Texas |
508 |
1.6 |
0.5 |
(0.6--2.5) |
Las Cruces, New Mexico |
710 |
2.7 |
0.6 |
(1.5--3.8) |
Las Vegas-Paradise, Nevada |
1,366 |
2.4 |
0.4 |
(1.6--3.1) |
Lebanon, New Hampshire-Vermont |
1,609 |
1.6 |
0.3 |
(1.0--2.1) |
Lewiston, Idaho-Washington |
521 |
5.7 |
1.2 |
(3.3--8.0) |
Lincoln, Nebraska |
713 |
2.1 |
0.5 |
(1.1--3.0) |
Little Rock-North Little Rock, Arkansas |
1,245 |
2.8 |
0.5 |
(1.8--3.7) |
Los Angeles-Long Beach-Glendale, California§ |
869 |
2.1 |
0.5 |
(1.1--3.0) |
Louisville, Kentucky-Indiana |
865 |
3.1 |
0.5 |
(2.1--4.0) |
Manchester-Nashua, New Hampshire |
1,439 |
2.4 |
0.5 |
(1.4--3.3) |
McAllen-Edinburg-Mission, Texas |
953 |
3.4 |
0.8 |
(1.8--4.9) |
Memphis, Tennessee-Mississippi-Arkansas |
986 |
3.5 |
0.8 |
(1.9--5.0) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,168 |
2.3 |
0.5 |
(1.3--3.2) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,538 |
1.8 |
0.4 |
(1.0--2.5) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,742 |
1.7 |
0.2 |
(1.3--2.0) |
Mobile, Alabama |
581 |
6.5 |
1.5 |
(3.5--9.4) |
Montgomery, Alabama |
515 |
3.7 |
1.0 |
(1.7--5.6) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
914 |
3.6 |
0.7 |
(2.2--4.9) |
Naples-Marco Island, Florida |
819 |
4.1 |
0.8 |
(2.5--5.6) |
Nashville-Davidson-Murfreesboro, Tennessee |
608 |
2.6 |
0.8 |
(1.0--4.1) |
Nassau-Suffolk, New York§ |
813 |
1.1 |
0.4 |
(0.3--1.8) |
Newark-Union, New Jersey-Pennsylvania§ |
2,013 |
1.6 |
0.3 |
(1.0--2.1) |
New Haven-Milford, Connecticut |
1,790 |
1.8 |
0.3 |
(1.2--2.3) |
New Orleans-Metairie-Kenner, Louisiana |
1,240 |
2.4 |
0.5 |
(1.4--3.3) |
New York-White Plains-Wayne, New York-New Jersey§ |
3,406 |
2.1 |
0.3 |
(1.5--2.6) |
Nogales, Arizona |
528 |
0.7 |
0.3 |
(0.1--1.2) |
Norwich-New London, Connecticut |
501 |
2.0 |
0.7 |
(0.6--3.3) |
Ocala, Florida |
630 |
5.0 |
1.0 |
(3.0--6.9) |
Ogden-Clearfield, Utah |
839 |
1.1 |
0.3 |
(0.5--1.6) |
Okeechobee, Florida |
728 |
4.3 |
0.7 |
(2.9--5.6) |
Oklahoma City, Oklahoma |
2,285 |
3.5 |
0.5 |
(2.5--4.4) |
Olympia, Washington |
1,870 |
2.6 |
0.5 |
(1.6--3.5) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,549 |
2.7 |
0.5 |
(1.7--3.6) |
Orlando-Kissimmee, Florida |
2,694 |
2.6 |
0.6 |
(1.4--3.7) |
TABLE 56. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had a stroke, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Palm Bay-Melbourne-Titusville, Florida |
554 |
5.7 |
1.3 |
(3.1--8.2) |
Palm Coast, Florida |
537 |
2.0 |
0.6 |
(0.8--3.1) |
Panama City-Lynn Haven, Florida |
546 |
2.6 |
0.6 |
(1.4--3.7) |
Pensacola-Ferry Pass-Brent, Florida |
1,032 |
3.1 |
0.6 |
(1.9--4.2) |
Philadelphia, Pennsylvania§ |
2,875 |
3.2 |
0.5 |
(2.2--4.1) |
Phoenix-Mesa-Scottsdale, Arizona |
1,284 |
2.8 |
0.5 |
(1.8--3.7) |
Pittsburgh, Pennsylvania |
2,956 |
3.1 |
0.5 |
(2.1--4.0) |
Portland-South Portland-Biddeford, Maine |
2,095 |
2.8 |
0.4 |
(2.0--3.5) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,966 |
2.0 |
0.3 |
(1.4--2.5) |
Port St. Lucie-Fort Pierce, Florida |
1,081 |
2.8 |
0.5 |
(1.8--3.7) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,141 |
2.4 |
0.2 |
(2.0--2.7) |
Provo-Orem, Utah |
582 |
1.9 |
0.5 |
(0.9--2.8) |
Raleigh-Cary, North Carolina |
1,089 |
2.6 |
0.5 |
(1.6--3.5) |
Rapid City, South Dakota |
980 |
2.4 |
0.4 |
(1.6--3.1) |
Reno-Sparks, Nevada |
1,396 |
2.4 |
0.4 |
(1.6--3.1) |
Richmond, Virginia |
859 |
2.7 |
0.6 |
(1.5--3.8) |
Riverside-San Bernardino-Ontario, California |
684 |
2.7 |
0.7 |
(1.3--4.0) |
Riverton, Wyoming |
500 |
2.3 |
0.6 |
(1.1--3.4) |
Rockingham County-Strafford County, New Hampshire§ |
1,619 |
2.2 |
0.4 |
(1.4--2.9) |
Rutland, Vermont |
682 |
2.0 |
0.4 |
(1.2--2.7) |
St. Louis, Missouri-Illinois |
1,569 |
3.5 |
0.6 |
(2.3--4.6) |
Salt Lake City, Utah |
2,141 |
1.1 |
0.2 |
(0.7--1.4) |
San Antonio, Texas |
1,420 |
2.9 |
0.4 |
(2.1--3.6) |
San Diego-Carlsbad-San Marcos, California |
512 |
2.2 |
0.7 |
(0.8--3.5) |
San Francisco-Oakland-Fremont, California |
779 |
1.8 |
0.5 |
(0.8--2.7) |
Santa Fe, New Mexico |
524 |
1.7 |
0.6 |
(0.5--2.8) |
Sarasota-Bradenton-Venice, Florida |
1,336 |
2.8 |
0.5 |
(1.8--3.7) |
Scranton-Wilkes-Barre, Pennsylvania |
2,520 |
1.9 |
0.3 |
(1.3--2.4) |
Seaford, Delaware |
1,234 |
3.7 |
0.5 |
(2.7--4.6) |
Seattle-Bellevue-Everett, Washington§ |
7,174 |
1.7 |
0.2 |
(1.3--2.0) |
Sebring, Florida |
764 |
4.0 |
0.8 |
(2.4--5.5) |
Sioux City, Iowa-Nebraska-South Dakota |
892 |
2.0 |
0.7 |
(0.6--3.3) |
Sioux Falls, South Dakota |
974 |
2.4 |
0.4 |
(1.6--3.1) |
Spokane, Washington |
1,374 |
2.4 |
0.4 |
(1.6--3.1) |
Springfield, Massachusetts |
2,588 |
2.0 |
0.3 |
(1.4--2.5) |
Tacoma, Washington§ |
1,904 |
2.5 |
0.4 |
(1.7--3.2) |
Tallahassee, Florida |
2,100 |
2.5 |
0.5 |
(1.5--3.4) |
Tampa-St. Petersburg-Clearwater, Florida |
2,187 |
4.9 |
0.7 |
(3.5--6.2) |
Toledo, Ohio |
988 |
4.1 |
0.7 |
(2.7--5.4) |
Topeka, Kansas |
783 |
3.5 |
0.6 |
(2.3--4.6) |
Tucson, Arizona |
748 |
1.8 |
0.4 |
(1.0--2.5) |
Tulsa, Oklahoma |
2,103 |
3.2 |
0.5 |
(2.2--4.1) |
Tuscaloosa, Alabama |
539 |
4.2 |
1.0 |
(2.2--6.1) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,155 |
2.5 |
0.5 |
(1.5--3.4) |
Warren-Troy-Farmington Hills, Michigan§ |
1,494 |
2.5 |
0.4 |
(1.7--3.2) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia§ |
6,790 |
1.5 |
0.2 |
(1.1--1.8) |
Wauchula, Florida |
694 |
2.5 |
0.7 |
(1.1--3.8) |
Wenatchee, Washington |
1,073 |
3.2 |
0.6 |
(2.0--4.3) |
West Palm Beach-Boca Raton-Boynton Beach, Florida§ |
549 |
2.7 |
0.6 |
(1.5--3.8) |
Wichita, Kansas |
1,562 |
2.6 |
0.4 |
(1.8--3.3) |
Wilmington, Delaware-Maryland-New Jersey§ |
1,764 |
2.3 |
0.4 |
(1.5--3.0) |
Wilmington, North Carolina |
615 |
2.5 |
0.7 |
(1.1--3.8) |
Worcester, Massachusetts |
2,755 |
1.6 |
0.2 |
(1.2--1.9) |
Yakima, Washington |
754 |
2.3 |
0.5 |
(1.3--3.2) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,045 |
3.1 |
0.8 |
(1.5--4.6) |
Yuma, Arizona |
563 |
4.5 |
0.9 |
(2.7--6.2) |
Median |
2.5 |
|||
Range |
0.7--6.5 |
|||
* Standard error. † Confidence interval. § Metropolitan division. |
TABLE 57. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had a stroke, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Marion County, Florida |
630 |
5.0 |
1.0 |
(3.0--6.9) |
Martin County, Florida |
549 |
2.9 |
0.7 |
(1.5--4.2) |
Miami-Dade County, Florida |
610 |
2.1 |
0.6 |
(0.9--3.2) |
Monroe County, Florida |
505 |
3.2 |
0.9 |
(1.4--4.9) |
Nassau County, Florida |
545 |
3.4 |
0.8 |
(1.8--4.9) |
Okeechobee County, Florida |
728 |
4.3 |
0.7 |
(2.9--5.6) |
Orange County, Florida |
823 |
2.3 |
0.9 |
(0.5--4.0) |
Osceola County, Florida |
715 |
2.5 |
0.6 |
(1.3--3.6) |
Palm Beach County, Florida |
549 |
2.7 |
0.6 |
(1.5--3.8) |
Pasco County, Florida |
555 |
4.9 |
1.2 |
(2.5--7.2) |
Pinellas County, Florida |
543 |
6.3 |
1.4 |
(3.5--9.0) |
Polk County, Florida |
526 |
3.8 |
0.8 |
(2.2--5.3) |
St. Johns County, Florida |
563 |
3.5 |
1.1 |
(1.3--5.6) |
St. Lucie County, Florida |
532 |
2.8 |
0.7 |
(1.4--4.1) |
Santa Rosa County, Florida |
502 |
2.4 |
0.6 |
(1.2--3.5) |
Sarasota County, Florida |
831 |
2.4 |
0.6 |
(1.2--3.5) |
Seminole County, Florida |
538 |
1.9 |
0.6 |
(0.7--3.0) |
Volusia County, Florida |
512 |
2.3 |
0.6 |
(1.1--3.4) |
Wakulla County, Florida |
552 |
3.0 |
0.7 |
(1.6--4.3) |
Clayton County, Georgia |
343 |
N/A |
N/A |
N/A |
Cobb County, Georgia |
410 |
1.9 |
0.6 |
(0.7--3.0) |
DeKalb County, Georgia |
429 |
2.4 |
0.7 |
(1.0--3.7) |
Fulton County, Georgia |
412 |
2.2 |
0.7 |
(0.8--3.5) |
Gwinnett County, Georgia |
319 |
1.7 |
0.7 |
(0.3--3.0) |
Hawaii County, Hawaii |
1,516 |
2.9 |
0.5 |
(1.9--3.8) |
Honolulu County, Hawaii |
2,912 |
2.4 |
0.3 |
(1.8--2.9) |
Kauai County, Hawaii |
652 |
2.6 |
0.7 |
(1.2--3.9) |
Maui County, Hawaii |
1,508 |
2.1 |
0.4 |
(1.3--2.8) |
Ada County, Idaho |
649 |
3.1 |
0.8 |
(1.5--4.6) |
Bonneville County, Idaho |
392 |
3.3 |
0.8 |
(1.7--4.8) |
Canyon County, Idaho |
487 |
2.5 |
0.8 |
(0.9--4.0) |
Nez Perce County, Idaho |
275 |
4.3 |
1.2 |
(1.9--6.6) |
Cook County, Illinois |
1,652 |
2.8 |
0.5 |
(1.8--3.7) |
DuPage County, Illinois |
381 |
N/A |
N/A |
N/A |
Lake County, Illinois |
296 |
2.9 |
1.4 |
(0.1--5.6) |
Lake County, Indiana |
570 |
3.6 |
1.0 |
(1.6--5.5) |
Marion County, Indiana |
1,126 |
3.3 |
0.6 |
(2.1--4.4) |
Polk County, Iowa |
726 |
2.3 |
0.5 |
(1.3--3.2) |
Johnson County, Kansas |
1,545 |
1.4 |
0.3 |
(0.8--1.9) |
Sedgwick County, Kansas |
1,176 |
2.7 |
0.5 |
(1.7--3.6) |
Shawnee County, Kansas |
551 |
2.8 |
0.6 |
(1.6--3.9) |
Wyandotte County, Kansas |
348 |
2.2 |
0.6 |
(1.0--3.3) |
Jefferson County, Kentucky |
477 |
3.8 |
0.8 |
(2.2--5.3) |
Calcasieu Parish, Louisiana |
517 |
3.3 |
0.9 |
(1.5--5.0) |
East Baton Rouge Parish, Louisiana |
506 |
1.9 |
0.5 |
(0.9--2.8) |
Jefferson Parish, Louisiana |
421 |
2.2 |
0.7 |
(0.8--3.5) |
Orleans Parish, Louisiana |
296 |
1.7 |
0.6 |
(0.5--2.8) |
St. Tammany Parish, Louisiana |
332 |
2.6 |
0.9 |
(0.8--4.3) |
Cumberland County, Maine |
1,086 |
3.0 |
0.5 |
(2.0--3.9) |
Kennebec County, Maine |
548 |
1.9 |
0.5 |
(0.9--2.8) |
Penobscot County, Maine |
658 |
2.4 |
0.6 |
(1.2--3.5) |
Sagadahoc County, Maine |
279 |
1.8 |
0.8 |
(0.2--3.3) |
York County, Maine |
730 |
2.8 |
0.7 |
(1.4--4.1) |
Anne Arundel County, Maryland |
557 |
2.1 |
0.7 |
(0.7--3.4) |
Baltimore County, Maryland |
982 |
2.2 |
0.5 |
(1.2--3.1) |
Charles County, Maryland |
296 |
2.9 |
0.8 |
(1.3--4.4) |
Frederick County, Maryland |
543 |
3.5 |
1.0 |
(1.5--5.4) |
Harford County, Maryland |
305 |
3.8 |
1.7 |
(0.4--7.1) |
Howard County, Maryland |
338 |
1.3 |
0.5 |
(0.3--2.2) |
Montgomery County, Maryland |
1,098 |
1.5 |
0.3 |
(0.9--2.0) |
Prince George´s County, Maryland |
645 |
1.6 |
0.4 |
(0.8--2.3) |
Queen Anne´s County, Maryland |
256 |
4.9 |
1.8 |
(1.3--8.4) |
Washington County, Maryland |
443 |
4.0 |
1.5 |
(1.0--6.9) |
TABLE 57. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had a stroke, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Baltimore City, Maryland |
501 |
3.7 |
0.9 |
(1.9--5.4) |
Barnstable County, Massachusetts |
586 |
1.7 |
0.5 |
(0.7--2.6) |
Bristol County, Massachusetts |
3,653 |
2.0 |
0.3 |
(1.4--2.5) |
Essex County, Massachusetts |
2,973 |
2.1 |
0.3 |
(1.5--2.6) |
Hampden County, Massachusetts |
2,015 |
2.4 |
0.4 |
(1.6--3.1) |
Hampshire County, Massachusetts |
365 |
1.3 |
0.6 |
(0.1--2.4) |
Middlesex County, Massachusetts |
3,949 |
1.7 |
0.2 |
(1.3--2.0) |
Norfolk County, Massachusetts |
1,260 |
1.8 |
0.3 |
(1.2--2.3) |
Plymouth County, Massachusetts |
843 |
1.6 |
0.4 |
(0.8--2.3) |
Suffolk County, Massachusetts |
2,395 |
2.1 |
0.4 |
(1.3--2.8) |
Worcester County, Massachusetts |
2,755 |
1.6 |
0.2 |
(1.2--1.9) |
Kent County, Michigan |
379 |
2.0 |
0.9 |
(0.2--3.7) |
Macomb County, Michigan |
410 |
2.9 |
0.8 |
(1.3--4.4) |
Oakland County, Michigan |
782 |
2.2 |
0.6 |
(1.0--3.3) |
Wayne County, Michigan |
1,647 |
3.7 |
0.6 |
(2.5--4.8) |
Anoka County, Minnesota |
270 |
0.9 |
0.4 |
(0.1--1.6) |
Dakota County, Minnesota |
348 |
2.5 |
0.8 |
(0.9--4.0) |
Hennepin County, Minnesota |
941 |
1.9 |
0.4 |
(1.1--2.6) |
Ramsey County, Minnesota |
413 |
2.5 |
0.7 |
(1.1--3.8) |
DeSoto County, Mississippi |
262 |
2.4 |
0.7 |
(1.0--3.7) |
Harrison County, Mississippi |
381 |
3.5 |
1.0 |
(1.5--5.4) |
Hinds County, Mississippi |
524 |
4.1 |
1.0 |
(2.1--6.0) |
Rankin County, Mississippi |
298 |
2.2 |
0.8 |
(0.6--3.7) |
Jackson County, Missouri |
497 |
3.7 |
0.9 |
(1.9--5.4) |
St. Louis County, Missouri |
458 |
2.3 |
0.7 |
(0.9--3.6) |
St. Louis City, Missouri |
469 |
3.4 |
0.8 |
(1.8--4.9) |
Flathead County, Montana |
555 |
2.3 |
0.7 |
(0.9--3.6) |
Yellowstone County, Montana |
448 |
3.6 |
0.8 |
(2.0--5.1) |
Dakota County, Nebraska |
483 |
2.2 |
0.7 |
(0.8--3.5) |
Douglas County, Nebraska |
602 |
2.8 |
0.7 |
(1.4--4.1) |
Hall County, Nebraska |
377 |
3.3 |
0.9 |
(1.5--5.0) |
Lancaster County, Nebraska |
551 |
2.1 |
0.5 |
(1.1--3.0) |
Sarpy County, Nebraska |
384 |
2.5 |
1.0 |
(0.5--4.4) |
Clark County, Nevada |
1,366 |
2.4 |
0.4 |
(1.6--3.1) |
Washoe County, Nevada |
1,373 |
2.3 |
0.4 |
(1.5--3.0) |
Grafton County, New Hampshire |
513 |
1.4 |
0.4 |
(0.6--2.1) |
Hillsborough County, New Hampshire |
1,439 |
2.4 |
0.5 |
(1.4--3.3) |
Merrimack County, New Hampshire |
648 |
1.4 |
0.4 |
(0.6--2.1) |
Rockingham County, New Hampshire |
996 |
2.2 |
0.5 |
(1.2--3.1) |
Strafford County, New Hampshire |
623 |
2.2 |
0.6 |
(1.0--3.3) |
Bergen County, New Jersey |
384 |
2.6 |
0.8 |
(1.0--4.1) |
Burlington County, New Jersey |
344 |
1.8 |
0.6 |
(0.6--2.9) |
Camden County, New Jersey |
322 |
2.4 |
0.9 |
(0.6--4.1) |
Essex County, New Jersey |
540 |
1.8 |
0.5 |
(0.8--2.7) |
Gloucester County, New Jersey |
337 |
2.3 |
0.7 |
(0.9--3.6) |
Hudson County, New Jersey |
573 |
1.9 |
0.6 |
(0.7--3.0) |
Hunterdon County, New Jersey |
368 |
N/A |
N/A |
N/A |
Middlesex County, New Jersey |
385 |
3.4 |
1.0 |
(1.4--5.3) |
Monmouth County, New Jersey |
328 |
1.5 |
0.6 |
(0.3--2.6) |
Morris County, New Jersey |
420 |
2.0 |
0.9 |
(0.2--3.7) |
Ocean County, New Jersey |
331 |
3.4 |
0.9 |
(1.6--5.1) |
Passaic County, New Jersey |
282 |
2.2 |
0.7 |
(0.8--3.5) |
Somerset County, New Jersey |
361 |
1.7 |
0.6 |
(0.5--2.8) |
Sussex County, New Jersey |
337 |
0.9 |
0.3 |
(0.3--1.4) |
Union County, New Jersey |
314 |
1.8 |
0.7 |
(0.4--3.1) |
Warren County, New Jersey |
310 |
2.8 |
0.8 |
(1.2--4.3) |
Bernalillo County, New Mexico |
1,101 |
2.0 |
0.5 |
(1.0--2.9) |
Dona Ana County, New Mexico |
710 |
2.7 |
0.6 |
(1.5--3.8) |
Sandoval County, New Mexico |
507 |
3.4 |
1.4 |
(0.6--6.1) |
San Juan County, New Mexico |
678 |
3.2 |
0.9 |
(1.4--4.9) |
Santa Fe County, New Mexico |
524 |
1.7 |
0.6 |
(0.5--2.8) |
Valencia County, New Mexico |
316 |
1.7 |
0.6 |
(0.5--2.8) |
Erie County, New York |
402 |
4.0 |
1.4 |
(1.2--6.7) |
TABLE 57. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had a stroke, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Kings County, New York |
414 |
2.4 |
0.7 |
(1.0--3.7) |
Nassau County, New York |
378 |
N/A |
N/A |
N/A |
New York County, New York |
564 |
2.2 |
1.0 |
(0.2--4.1) |
Queens County, New York |
441 |
1.9 |
0.7 |
(0.5--3.2) |
Suffolk County, New York |
435 |
1.2 |
0.5 |
(0.2--2.1) |
Westchester County, New York |
279 |
1.8 |
0.7 |
(0.4--3.1) |
Buncombe County, North Carolina |
354 |
1.6 |
0.5 |
(0.6--2.5) |
Cabarrus County, North Carolina |
359 |
2.0 |
0.6 |
(0.8--3.1) |
Catawba County, North Carolina |
409 |
3.4 |
0.8 |
(1.8--4.9) |
Cumberland County, North Carolina |
379 |
5.8 |
1.3 |
(3.2--8.3) |
Durham County, North Carolina |
332 |
2.7 |
0.8 |
(1.1--4.2) |
Gaston County, North Carolina |
390 |
4.8 |
1.3 |
(2.2--7.3) |
Guilford County, North Carolina |
387 |
1.4 |
0.5 |
(0.4--2.3) |
Henderson County, North Carolina |
295 |
4.0 |
1.1 |
(1.8--6.1) |
Johnston County, North Carolina |
436 |
5.0 |
1.1 |
(2.8--7.1) |
Mecklenburg County, North Carolina |
680 |
1.1 |
0.4 |
(0.3--1.8) |
New Hanover County, North Carolina |
390 |
2.4 |
0.8 |
(0.8--3.9) |
Orange County, North Carolina |
345 |
1.9 |
0.6 |
(0.7--3.0) |
Randolph County, North Carolina |
374 |
3.1 |
0.9 |
(1.3--4.8) |
Union County, North Carolina |
376 |
2.6 |
0.7 |
(1.2--3.9) |
Wake County, North Carolina |
607 |
2.3 |
0.6 |
(1.1--3.4) |
Burleigh County, North Dakota |
498 |
1.9 |
0.5 |
(0.9--2.8) |
Cass County, North Dakota |
676 |
1.2 |
0.3 |
(0.6--1.7) |
Cuyahoga County, Ohio |
763 |
2.6 |
0.5 |
(1.6--3.5) |
Franklin County, Ohio |
759 |
3.2 |
0.6 |
(2.0--4.3) |
Hamilton County, Ohio |
828 |
3.1 |
0.6 |
(1.9--4.2) |
Licking County, Ohio |
251 |
2.2 |
0.9 |
(0.4--3.9) |
Lucas County, Ohio |
784 |
4.1 |
0.7 |
(2.7--5.4) |
Mahoning County, Ohio |
821 |
3.0 |
0.6 |
(1.8--4.1) |
Montgomery County, Ohio |
746 |
3.3 |
0.7 |
(1.9--4.6) |
Stark County, Ohio |
795 |
2.9 |
0.5 |
(1.9--3.8) |
Summit County, Ohio |
750 |
3.2 |
0.6 |
(2.0--4.3) |
Canadian County, Oklahoma |
250 |
2.1 |
0.8 |
(0.5--3.6) |
Cleveland County, Oklahoma |
413 |
2.2 |
0.8 |
(0.6--3.7) |
Oklahoma County, Oklahoma |
1,284 |
3.7 |
0.5 |
(2.7--4.6) |
Tulsa County, Oklahoma |
1,515 |
3.6 |
0.5 |
(2.6--4.5) |
Clackamas County, Oregon |
483 |
1.9 |
0.6 |
(0.7--3.0) |
Multnomah County, Oregon |
815 |
2.2 |
0.5 |
(1.2--3.1) |
Washington County, Oregon |
558 |
1.6 |
0.6 |
(0.4--2.7) |
Allegheny County, Pennsylvania |
641 |
2.9 |
0.9 |
(1.1--4.6) |
Delaware County, Pennsylvania |
274 |
3.4 |
1.5 |
(0.4--6.3) |
Fayette County, Pennsylvania |
1,628 |
4.0 |
0.5 |
(3.0--4.9) |
Luzerne County, Pennsylvania |
2,330 |
2.7 |
0.4 |
(1.9--3.4) |
Montgomery County, Pennsylvania |
337 |
3.3 |
1.1 |
(1.1--5.4) |
Philadelphia County, Pennsylvania |
1,820 |
4.6 |
1.1 |
(2.4--6.7) |
Westmoreland County, Pennsylvania |
294 |
3.3 |
1.1 |
(1.1--5.4) |
Kent County, Rhode Island |
657 |
3.1 |
0.7 |
(1.7--4.4) |
Newport County, Rhode Island |
362 |
4.5 |
1.8 |
(0.9--8.0) |
Providence County, Rhode Island |
2,740 |
2.2 |
0.3 |
(1.6--2.7) |
Washington County, Rhode Island |
516 |
1.7 |
0.5 |
(0.7--2.6) |
Aiken County, South Carolina |
683 |
1.8 |
0.7 |
(0.4--3.1) |
Beaufort County, South Carolina |
850 |
2.5 |
0.5 |
(1.5--3.4) |
Berkeley County, South Carolina |
329 |
4.7 |
1.1 |
(2.5--6.8) |
Charleston County, South Carolina |
688 |
2.0 |
0.5 |
(1.0--2.9) |
Dorchester County, South Carolina |
253 |
1.9 |
0.7 |
(0.5--3.2) |
Greenville County, South Carolina |
554 |
1.6 |
0.5 |
(0.6--2.5) |
Horry County, South Carolina |
914 |
3.6 |
0.7 |
(2.2--4.9) |
Lexington County, South Carolina |
333 |
2.4 |
1.0 |
(0.4--4.3) |
Richland County, South Carolina |
442 |
2.0 |
0.5 |
(1.0--2.9) |
York County, South Carolina |
280 |
3.7 |
1.1 |
(1.5--5.8) |
Minnehaha County, South Dakota |
724 |
2.9 |
0.5 |
(1.9--3.8) |
Pennington County, South Dakota |
770 |
2.3 |
0.5 |
(1.3--3.2) |
Davidson County, Tennessee |
284 |
N/A |
N/A |
N/A |
TABLE 57. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had a stroke, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Hamilton County, Tennessee |
686 |
3.7 |
0.9 |
(1.9--5.4) |
Shelby County, Tennessee |
297 |
3.1 |
1.1 |
(0.9--5.2) |
Sullivan County, Tennessee |
425 |
4.9 |
1.0 |
(2.9--6.8) |
Bexar County, Texas |
1,062 |
2.9 |
0.5 |
(1.9--3.8) |
Cameron County, Texas |
620 |
2.6 |
0.6 |
(1.4--3.7) |
Collin County, Texas |
261 |
N/A |
N/A |
N/A |
Dallas County, Texas |
854 |
2.3 |
0.4 |
(1.5--3.0) |
Denton County, Texas |
258 |
1.3 |
0.6 |
(0.1--2.4) |
El Paso County, Texas |
1,513 |
2.0 |
0.3 |
(1.4--2.5) |
Harris County, Texas |
970 |
2.4 |
0.5 |
(1.4--3.3) |
Hidalgo County, Texas |
953 |
3.4 |
0.8 |
(1.8--4.9) |
Tarrant County, Texas |
1,148 |
1.9 |
0.4 |
(1.1--2.6) |
Travis County, Texas |
795 |
2.2 |
0.7 |
(0.8--3.5) |
Webb County, Texas |
508 |
1.6 |
0.5 |
(0.6--2.5) |
Williamson County, Texas |
361 |
N/A |
N/A |
N/A |
Davis County, Utah |
418 |
N/A |
N/A |
N/A |
Salt Lake County, Utah |
1,650 |
1.1 |
0.2 |
(0.7--1.4) |
Tooele County, Utah |
251 |
1.3 |
0.6 |
(0.1--2.4) |
Utah County, Utah |
549 |
1.9 |
0.5 |
(0.9--2.8) |
Weber County, Utah |
403 |
1.6 |
0.5 |
(0.6--2.5) |
Chittenden County, Vermont |
1,419 |
1.3 |
0.3 |
(0.7--1.8) |
Franklin County, Vermont |
466 |
1.6 |
0.5 |
(0.6--2.5) |
Orange County, Vermont |
374 |
1.3 |
0.5 |
(0.3--2.2) |
Rutland County, Vermont |
682 |
2.0 |
0.4 |
(1.2--2.7) |
Washington County, Vermont |
695 |
2.3 |
0.6 |
(1.1--3.4) |
Windsor County, Vermont |
722 |
2.1 |
0.5 |
(1.1--3.0) |
Arlington County, Virginia |
298 |
1.6 |
0.6 |
(0.4--2.7) |
Fairfax County, Virginia |
250 |
N/A |
N/A |
N/A |
Prince William County, Virginia |
282 |
N/A |
N/A |
N/A |
Alexandria city, Virginia |
262 |
N/A |
N/A |
N/A |
Benton County, Washington |
450 |
1.4 |
0.5 |
(0.4--2.3) |
Chelan County, Washington |
542 |
3.6 |
0.8 |
(2.0--5.1) |
Clark County, Washington |
1,701 |
2.2 |
0.4 |
(1.4--2.9) |
Douglas County, Washington |
531 |
2.6 |
0.6 |
(1.4--3.7) |
King County, Washington |
4,435 |
1.7 |
0.2 |
(1.3--2.0) |
Kitsap County, Washington |
1,008 |
1.9 |
0.4 |
(1.1--2.6) |
Pierce County, Washington |
1,904 |
2.4 |
0.4 |
(1.6--3.1) |
Snohomish County, Washington |
2,739 |
1.8 |
0.2 |
(1.4--2.1) |
Spokane County, Washington |
1,374 |
2.4 |
0.4 |
(1.6--3.1) |
Thurston County, Washington |
1,870 |
2.6 |
0.5 |
(1.6--3.5) |
Whatcom County, Washington |
1,173 |
2.1 |
0.4 |
(1.3--2.8) |
Yakima County, Washington |
754 |
2.3 |
0.5 |
(1.3--3.2) |
Kanawha County, West Virginia |
508 |
3.0 |
0.7 |
(1.6--4.3) |
Milwaukee County, Wisconsin |
1,183 |
2.2 |
0.6 |
(1.0--3.3) |
Fremont County, Wyoming |
500 |
2.3 |
0.6 |
(1.1--3.4) |
Laramie County, Wyoming |
906 |
2.3 |
0.5 |
(1.3--3.2) |
Natrona County, Wyoming |
754 |
2.5 |
0.6 |
(1.3--3.6) |
Median |
2.4 |
|||
Range |
0.7--6.5 |
|||
* Standard error. † Confidence interval. § Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 59. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had some form of arthritis,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Gainesville, Florida |
1,048 |
18.7 |
1.9 |
(14.9--22.4) |
Grand Island, Nebraska |
554 |
29.0 |
2.2 |
(24.6--33.3) |
Grand Rapids-Wyoming, Michigan |
503 |
28.3 |
2.2 |
(23.9--32.6) |
Greeley, Colorado |
521 |
21.8 |
2.0 |
(17.8--25.7) |
Greensboro-High Point, North Carolina |
821 |
29.0 |
2.1 |
(24.8--33.1) |
Greenville, South Carolina |
873 |
26.5 |
1.8 |
(22.9--30.0) |
Gulfport-Biloxi, Mississippi |
496 |
31.4 |
2.4 |
(26.6--36.1) |
Hagerstown-Martinsburg, Maryland-West Virginia |
701 |
29.0 |
2.1 |
(24.8--33.1) |
Hartford-West Hartford-East Hartford, Connecticut |
2,333 |
25.9 |
1.1 |
(23.7--28.0) |
Hickory-Morganton-Lenoir, North Carolina |
857 |
32.2 |
2.0 |
(28.2--36.1) |
Hilo, Hawaii |
1,508 |
24.3 |
1.2 |
(21.9--26.6) |
Hilton Head Island-Beaufort, South Carolina |
923 |
26.0 |
1.7 |
(22.6--29.3) |
Homosassa Springs, Florida |
562 |
39.0 |
2.7 |
(33.7--44.2) |
Honolulu, Hawaii |
2,878 |
23.9 |
0.9 |
(22.1--25.6) |
Houston-Sugar Land-Baytown, Texas |
1,524 |
21.6 |
1.4 |
(18.8--24.3) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
578 |
40.3 |
2.9 |
(34.6--45.9) |
Idaho Falls, Idaho |
500 |
25.4 |
2.1 |
(21.2--29.5) |
Indianapolis-Carmel, Indiana |
1,546 |
29.2 |
1.5 |
(26.2--32.1) |
Jackson, Mississippi |
1,152 |
26.5 |
1.5 |
(23.5--29.4) |
Jacksonville, Florida |
3,861 |
25.1 |
0.9 |
(23.3--26.8) |
Kahului-Wailuku, Hawaii |
1,496 |
22.7 |
1.4 |
(19.9--25.4) |
Kalispell, Montana |
550 |
26.9 |
2.2 |
(22.5--31.2) |
Kansas City, Missouri-Kansas |
3,317 |
27.7 |
1.0 |
(25.7--29.6) |
Kapaa, Hawaii |
641 |
26.8 |
2.1 |
(22.6--30.9) |
Kennewick-Richland-Pasco, Washington |
674 |
24.7 |
1.9 |
(20.9--28.4) |
Key West-Marathon, Florida |
491 |
32.1 |
4.5 |
(23.2--40.9) |
Kingsport-Bristol, Tennessee-Virginia |
579 |
38.9 |
2.7 |
(33.6--44.1) |
Lake Charles, Louisiana |
524 |
25.5 |
2.2 |
(21.1--29.8) |
Lake City, Florida |
573 |
26.9 |
2.5 |
(22.0--31.8) |
Lakeland-Winter Haven, Florida |
504 |
28.2 |
2.3 |
(23.6--32.7) |
Laredo, Texas |
497 |
16.3 |
2.6 |
(11.2--21.3) |
Las Cruces, New Mexico |
702 |
22.8 |
1.7 |
(19.4--26.1) |
Las Vegas-Paradise, Nevada |
1,330 |
24.8 |
1.3 |
(22.2--27.3) |
Lebanon, New Hampshire-Vermont |
1,591 |
28.8 |
1.4 |
(26.0--31.5) |
Lewiston, Idaho-Washington |
515 |
33.4 |
2.5 |
(28.5--38.3) |
Lincoln, Nebraska |
703 |
28.3 |
2.6 |
(23.2--33.3) |
Little Rock-North Little Rock, Arkansas |
1,223 |
27.2 |
1.5 |
(24.2--30.1) |
Los Angeles-Long Beach-Glendale, California¶ |
833 |
20.1 |
1.6 |
(16.9--23.2) |
Louisville, Kentucky-Indiana |
814 |
29.3 |
1.9 |
(25.5--33.0) |
Manchester-Nashua, New Hampshire |
1,410 |
29.6 |
1.4 |
(26.8--32.3) |
McAllen-Edinburg-Mission, Texas |
935 |
20.7 |
1.7 |
(17.3--24.0) |
Memphis, Tennessee-Mississippi-Arkansas |
970 |
26.7 |
2.1 |
(22.5--30.8) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,124 |
20.2 |
1.4 |
(17.4--22.9) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,472 |
27.3 |
1.8 |
(23.7--30.8) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,736 |
20.3 |
0.9 |
(18.5--22.0) |
Mobile, Alabama |
572 |
33.4 |
2.6 |
(28.3--38.4) |
Montgomery, Alabama |
509 |
30.4 |
3.0 |
(24.5--36.2) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
901 |
30.7 |
1.8 |
(27.1--34.2) |
Naples-Marco Island, Florida |
789 |
24.8 |
2.0 |
(20.8--28.7) |
Nashville-Davidson-Murfreesboro, Tennessee |
587 |
29.0 |
2.3 |
(24.4--33.5) |
Nassau-Suffolk, New York¶ |
797 |
30.7 |
2.0 |
(26.7--34.6) |
Newark-Union, New Jersey-Pennsylvania¶ |
1,953 |
24.4 |
1.3 |
(21.8--26.9) |
New Haven-Milford, Connecticut |
1,756 |
25.7 |
1.4 |
(22.9--28.4) |
New Orleans-Metairie-Kenner, Louisiana |
1,209 |
23.6 |
1.4 |
(20.8--26.3) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,301 |
24.1 |
0.9 |
(22.3--25.8) |
Nogales, Arizona |
514 |
21.1 |
3.9 |
(13.4--28.7) |
Norwich-New London, Connecticut |
492 |
26.5 |
2.3 |
(21.9--31.0) |
Ocala, Florida |
614 |
32.3 |
2.5 |
(27.4--37.2) |
Ogden-Clearfield, Utah |
834 |
23.4 |
1.6 |
(20.2--26.5) |
Okeechobee, Florida |
699 |
27.8 |
2.6 |
(22.7--32.8) |
Oklahoma City, Oklahoma |
2,249 |
28.7 |
1.1 |
(26.5--30.8) |
Olympia, Washington |
1,859 |
29.5 |
1.2 |
(27.1--31.8) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,532 |
26.0 |
1.4 |
(23.2--28.7) |
Orlando-Kissimmee, Florida |
2,611 |
21.0 |
1.1 |
(18.8--23.1) |
TABLE 59. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had some form of arthritis,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Palm Bay-Melbourne-Titusville, Florida |
543 |
25.7 |
2.2 |
(21.3--30.0) |
Palm Coast, Florida |
521 |
32.0 |
2.6 |
(26.9--37.0) |
Panama City-Lynn Haven, Florida |
533 |
27.8 |
2.6 |
(22.7--32.8) |
Pensacola-Ferry Pass-Brent, Florida |
1,000 |
28.4 |
1.7 |
(25.0--31.7) |
Philadelphia, Pennsylvania¶ |
2,816 |
28.6 |
1.3 |
(26.0--31.1) |
Phoenix-Mesa-Scottsdale, Arizona |
1,257 |
22.1 |
1.5 |
(19.1--25.0) |
Pittsburgh, Pennsylvania |
2,904 |
36.8 |
1.6 |
(33.6--39.9) |
Portland-South Portland-Biddeford, Maine |
2,064 |
30.9 |
1.2 |
(28.5--33.2) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,930 |
23.2 |
0.9 |
(21.4--24.9) |
Port St. Lucie-Fort Pierce, Florida |
1,048 |
29.2 |
1.8 |
(25.6--32.7) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,010 |
29.5 |
0.7 |
(28.1--30.8) |
Provo-Orem, Utah |
579 |
18.8 |
1.9 |
(15.0--22.5) |
Raleigh-Cary, North Carolina |
1,084 |
24.3 |
1.7 |
(20.9--27.6) |
Rapid City, South Dakota |
965 |
27.4 |
1.6 |
(24.2--30.5) |
Reno-Sparks, Nevada |
1,368 |
23.8 |
1.3 |
(21.2--26.3) |
Richmond, Virginia |
845 |
27.1 |
1.9 |
(23.3--30.8) |
Riverside-San Bernardino-Ontario, California |
654 |
21.9 |
1.8 |
(18.3--25.4) |
Riverton, Wyoming |
493 |
31.5 |
2.5 |
(26.6--36.4) |
Rockingham County-Strafford County, New Hampshire¶ |
1,592 |
27.0 |
1.2 |
(24.6--29.3) |
Rutland, Vermont |
673 |
34.7 |
2.1 |
(30.5--38.8) |
St. Louis, Missouri-Illinois |
1,537 |
31.7 |
1.7 |
(28.3--35.0) |
Salt Lake City, Utah |
2,116 |
21.0 |
1.0 |
(19.0--22.9) |
San Antonio, Texas |
1,402 |
24.4 |
1.4 |
(21.6--27.1) |
San Diego-Carlsbad-San Marcos, California |
496 |
21.7 |
2.1 |
(17.5--25.8) |
San Francisco-Oakland-Fremont, California |
755 |
17.3 |
1.4 |
(14.5--20.0) |
Santa Fe, New Mexico |
499 |
25.5 |
2.4 |
(20.7--30.2) |
Sarasota-Bradenton-Venice, Florida |
1,287 |
29.0 |
1.7 |
(25.6--32.3) |
Scranton-Wilkes-Barre, Pennsylvania |
2,460 |
36.0 |
2.3 |
(31.4--40.5) |
Seaford, Delaware |
1,231 |
36.2 |
1.7 |
(32.8--39.5) |
Seattle-Bellevue-Everett, Washington¶ |
7,098 |
24.8 |
0.6 |
(23.6--25.9) |
Sebring, Florida |
743 |
28.6 |
2.1 |
(24.4--32.7) |
Sioux City, Iowa-Nebraska-South Dakota |
879 |
22.4 |
2.3 |
(17.8--26.9) |
Sioux Falls, South Dakota |
957 |
21.6 |
1.4 |
(18.8--24.3) |
Spokane, Washington |
1,359 |
29.9 |
1.5 |
(26.9--32.8) |
Springfield, Massachusetts |
2,528 |
29.5 |
1.4 |
(26.7--32.2) |
Tacoma, Washington¶ |
1,881 |
30.1 |
1.3 |
(27.5--32.6) |
Tallahassee, Florida |
2,026 |
19.3 |
1.5 |
(16.3--22.2) |
Tampa-St. Petersburg-Clearwater, Florida |
2,117 |
24.8 |
1.2 |
(22.4--27.1) |
Toledo, Ohio |
970 |
32.6 |
2.1 |
(28.4--36.7) |
Topeka, Kansas |
777 |
27.9 |
1.7 |
(24.5--31.2) |
Tucson, Arizona |
737 |
29.3 |
2.0 |
(25.3--33.2) |
Tulsa, Oklahoma |
2,071 |
28.1 |
1.2 |
(25.7--30.4) |
Tuscaloosa, Alabama |
530 |
33.8 |
2.6 |
(28.7--38.8) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,133 |
25.7 |
1.8 |
(22.1--29.2) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,466 |
29.7 |
1.4 |
(26.9--32.4) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,643 |
22.6 |
1.2 |
(20.2--24.9) |
Wauchula, Florida |
677 |
20.0 |
3.6 |
(12.9--27.0) |
Wenatchee, Washington |
1,067 |
28.9 |
1.8 |
(25.3--32.4) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
524 |
22.0 |
2.1 |
(17.8--26.1) |
Wichita, Kansas |
1,549 |
27.6 |
1.3 |
(25.0--30.1) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,749 |
29.7 |
1.3 |
(27.1--32.2) |
Wilmington, North Carolina |
606 |
31.0 |
2.4 |
(26.2--35.7) |
Worcester, Massachusetts |
2,687 |
26.3 |
1.1 |
(24.1--28.4) |
Yakima, Washington |
749 |
24.5 |
1.7 |
(21.1--27.8) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,030 |
36.9 |
2.6 |
(31.8--41.9) |
Yuma, Arizona |
549 |
29.4 |
2.2 |
(25.0--33.7) |
Median |
27.1 |
|||
Range |
16.3--40.3 |
|||
* Arthritis diagnoses include: rheumatism, polymyalgia rheumatica, osteoarthritis (not osteporosis), tendonitis, bursitis, bunion, tennis elbow, carpal tunnel syndrome, tarsal tunnel syndrome, joint infection, Reiter´s syndrome, ankylosing spondylitis, spondylosis, rotator cuff syndrome, connective tissue disease, scleroderma, polymyositis, Raynaud´s syndrome, vasculitis (giant cell arteritis, Henoch-Schonlein purpura, Wegener´s granulomatosis, polyarteritis nodosa). † Standard error. § Confidence interval. ¶ Metropolitan division. |
TABLE 60.(Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had some form of arthritis,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
614 |
32.3 |
2.5 |
(27.4--37.2) |
Martin County, Florida |
526 |
29.2 |
2.3 |
(24.6--33.7) |
Miami-Dade County, Florida |
585 |
19.2 |
1.8 |
(15.6--22.7) |
Monroe County, Florida |
491 |
32.1 |
4.5 |
(23.2--40.9) |
Nassau County, Florida |
533 |
28.9 |
2.3 |
(24.3--33.4) |
Okeechobee County, Florida |
699 |
27.8 |
2.6 |
(22.7--32.8) |
Orange County, Florida |
801 |
17.9 |
1.7 |
(14.5--21.2) |
Osceola County, Florida |
694 |
21.1 |
1.9 |
(17.3--24.8) |
Palm Beach County, Florida |
524 |
22.0 |
2.1 |
(17.8--26.1) |
Pasco County, Florida |
544 |
27.3 |
2.2 |
(22.9--31.6) |
Pinellas County, Florida |
520 |
27.3 |
2.3 |
(22.7--31.8) |
Polk County, Florida |
504 |
28.2 |
2.3 |
(23.6--32.7) |
St. Johns County, Florida |
544 |
25.8 |
2.3 |
(21.2--30.3) |
St. Lucie County, Florida |
522 |
28.6 |
2.4 |
(23.8--33.3) |
Santa Rosa County, Florida |
486 |
28.0 |
2.4 |
(23.2--32.7) |
Sarasota County, Florida |
801 |
29.8 |
2.3 |
(25.2--34.3) |
Seminole County, Florida |
520 |
23.1 |
2.1 |
(18.9--27.2) |
Volusia County, Florida |
497 |
25.8 |
2.3 |
(21.2--30.3) |
Wakulla County, Florida |
537 |
23.6 |
2.9 |
(17.9--29.2) |
Clayton County, Georgia |
333 |
18.9 |
2.2 |
(14.5--23.2) |
Cobb County, Georgia |
397 |
22.7 |
2.4 |
(17.9--27.4) |
DeKalb County, Georgia |
421 |
19.9 |
2.2 |
(15.5--24.2) |
Fulton County, Georgia |
403 |
25.3 |
2.7 |
(20.0--30.5) |
Gwinnett County, Georgia |
311 |
21.2 |
2.5 |
(16.3--26.1) |
Hawaii County, Hawaii |
1,508 |
24.3 |
1.2 |
(21.9--26.6) |
Honolulu County, Hawaii |
2,878 |
23.9 |
0.9 |
(22.1--25.6) |
Kauai County, Hawaii |
641 |
26.8 |
2.1 |
(22.6--30.9) |
Maui County, Hawaii |
1,496 |
22.7 |
1.4 |
(19.9--25.4) |
Ada County, Idaho |
636 |
24.6 |
1.9 |
(20.8--28.3) |
Bonneville County, Idaho |
385 |
25.2 |
2.3 |
(20.6--29.7) |
Canyon County, Idaho |
483 |
23.1 |
2.0 |
(19.1--27.0) |
Nez Perce County, Idaho |
270 |
32.7 |
3.3 |
(26.2--39.1) |
Cook County, Illinois |
1,633 |
24.0 |
1.2 |
(21.6--26.3) |
DuPage County, Illinois |
379 |
22.2 |
2.3 |
(17.6--26.7) |
Lake County, Illinois |
290 |
24.9 |
2.8 |
(19.4--30.3) |
Lake County, Indiana |
561 |
37.3 |
3.4 |
(30.6--43.9) |
Marion County, Indiana |
1,099 |
28.7 |
1.7 |
(25.3--32.0) |
Polk County, Iowa |
719 |
26.2 |
1.8 |
(22.6--29.7) |
Johnson County, Kansas |
1,532 |
24.6 |
1.2 |
(22.2--26.9) |
Sedgwick County, Kansas |
1,165 |
26.1 |
1.5 |
(23.1--29.0) |
Shawnee County, Kansas |
548 |
26.4 |
2.0 |
(22.4--30.3) |
Wyandotte County, Kansas |
346 |
26.1 |
2.8 |
(20.6--31.5) |
Jefferson County, Kentucky |
441 |
25.4 |
2.3 |
(20.8--29.9) |
Calcasieu Parish, Louisiana |
503 |
25.4 |
2.2 |
(21.0--29.7) |
East Baton Rouge Parish, Louisiana |
492 |
20.0 |
1.9 |
(16.2--23.7) |
Jefferson Parish, Louisiana |
413 |
25.1 |
2.4 |
(20.3--29.8) |
Orleans Parish, Louisiana |
287 |
21.0 |
2.8 |
(15.5--26.4) |
St. Tammany Parish, Louisiana |
326 |
26.0 |
2.8 |
(20.5--31.4) |
Cumberland County, Maine |
1,071 |
29.6 |
1.6 |
(26.4--32.7) |
Kennebec County, Maine |
541 |
32.9 |
2.3 |
(28.3--37.4) |
Penobscot County, Maine |
652 |
30.5 |
2.0 |
(26.5--34.4) |
Sagadahoc County, Maine |
275 |
36.3 |
3.4 |
(29.6--42.9) |
York County, Maine |
718 |
31.5 |
2.0 |
(27.5--35.4) |
Anne Arundel County, Maryland |
543 |
29.3 |
2.3 |
(24.7--33.8) |
Baltimore County, Maryland |
967 |
30.0 |
1.7 |
(26.6--33.3) |
Charles County, Maryland |
291 |
30.1 |
3.3 |
(23.6--36.5) |
Frederick County, Maryland |
530 |
28.9 |
2.3 |
(24.3--33.4) |
Harford County, Maryland |
300 |
32.9 |
3.3 |
(26.4--39.3) |
Howard County, Maryland |
334 |
25.7 |
2.6 |
(20.6--30.7) |
Montgomery County, Maryland |
1,084 |
24.5 |
1.5 |
(21.5--27.4) |
Prince George´s County, Maryland |
636 |
24.3 |
2.0 |
(20.3--28.2) |
Queen Anne´s County, Maryland |
252 |
34.4 |
3.5 |
(27.5--41.2) |
Washington County, Maryland |
437 |
33.6 |
2.9 |
(27.9--39.2) |
TABLE 60.(Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had some form of arthritis,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
484 |
27.5 |
2.3 |
(22.9--32.0) |
Barnstable County, Massachusetts |
566 |
33.5 |
2.4 |
(28.7--38.2) |
Bristol County, Massachusetts |
3,588 |
30.1 |
1.3 |
(27.5--32.6) |
Essex County, Massachusetts |
2,913 |
28.7 |
1.4 |
(25.9--31.4) |
Hampden County, Massachusetts |
1,964 |
30.1 |
1.6 |
(26.9--33.2) |
Hampshire County, Massachusetts |
362 |
28.1 |
2.8 |
(22.6--33.5) |
Middlesex County, Massachusetts |
3,883 |
24.8 |
1.0 |
(22.8--26.7) |
Norfolk County, Massachusetts |
1,242 |
26.5 |
1.4 |
(23.7--29.2) |
Plymouth County, Massachusetts |
823 |
26.8 |
1.8 |
(23.2--30.3) |
Suffolk County, Massachusetts |
2,344 |
21.7 |
1.1 |
(19.5--23.8) |
Worcester County, Massachusetts |
2,687 |
26.3 |
1.1 |
(24.1--28.4) |
Kent County, Michigan |
376 |
26.2 |
2.5 |
(21.3--31.1) |
Macomb County, Michigan |
398 |
30.1 |
2.6 |
(25.0--35.1) |
Oakland County, Michigan |
768 |
28.0 |
1.9 |
(24.2--31.7) |
Wayne County, Michigan |
1,621 |
32.0 |
1.6 |
(28.8--35.1) |
Anoka County, Minnesota |
271 |
16.8 |
2.4 |
(12.0--21.5) |
Dakota County, Minnesota |
347 |
17.9 |
2.2 |
(13.5--22.2) |
Hennepin County, Minnesota |
942 |
20.5 |
1.5 |
(17.5--23.4) |
Ramsey County, Minnesota |
412 |
22.7 |
2.1 |
(18.5--26.8) |
DeSoto County, Mississippi |
257 |
23.5 |
2.8 |
(18.0--28.9) |
Harrison County, Mississippi |
377 |
32.3 |
2.8 |
(26.8--37.7) |
Hinds County, Mississippi |
518 |
27.9 |
2.4 |
(23.1--32.6) |
Rankin County, Mississippi |
296 |
23.9 |
2.6 |
(18.8--28.9) |
Jackson County, Missouri |
486 |
30.5 |
2.3 |
(25.9--35.0) |
St. Louis County, Missouri |
446 |
31.8 |
2.9 |
(26.1--37.4) |
St. Louis City, Missouri |
459 |
27.0 |
3.0 |
(21.1--32.8) |
Flathead County, Montana |
550 |
26.9 |
2.2 |
(22.5--31.2) |
Yellowstone County, Montana |
442 |
26.4 |
2.4 |
(21.6--31.1) |
Dakota County, Nebraska |
475 |
27.2 |
2.3 |
(22.6--31.7) |
Douglas County, Nebraska |
597 |
26.3 |
2.1 |
(22.1--30.4) |
Hall County, Nebraska |
372 |
28.9 |
2.6 |
(23.8--33.9) |
Lancaster County, Nebraska |
543 |
28.8 |
2.8 |
(23.3--34.2) |
Sarpy County, Nebraska |
376 |
23.1 |
2.9 |
(17.4--28.7) |
Clark County, Nevada |
1,330 |
24.8 |
1.3 |
(22.2--27.3) |
Washoe County, Nevada |
1,346 |
23.9 |
1.3 |
(21.3--26.4) |
Grafton County, New Hampshire |
505 |
26.0 |
2.2 |
(21.6--30.3) |
Hillsborough County, New Hampshire |
1,410 |
29.6 |
1.4 |
(26.8--32.3) |
Merrimack County, New Hampshire |
638 |
28.4 |
2.1 |
(24.2--32.5) |
Rockingham County, New Hampshire |
978 |
25.2 |
1.5 |
(22.2--28.1) |
Strafford County, New Hampshire |
614 |
31.4 |
2.2 |
(27.0--35.7) |
Bergen County, New Jersey |
370 |
25.0 |
2.6 |
(19.9--30.0) |
Burlington County, New Jersey |
336 |
27.9 |
3.0 |
(22.0--33.7) |
Camden County, New Jersey |
318 |
33.4 |
3.3 |
(26.9--39.8) |
Essex County, New Jersey |
514 |
22.4 |
2.1 |
(18.2--26.5) |
Gloucester County, New Jersey |
330 |
32.2 |
3.5 |
(25.3--39.0) |
Hudson County, New Jersey |
559 |
22.2 |
2.0 |
(18.2--26.1) |
Hunterdon County, New Jersey |
360 |
22.5 |
2.8 |
(17.0--27.9) |
Middlesex County, New Jersey |
376 |
21.7 |
2.3 |
(17.1--26.2) |
Monmouth County, New Jersey |
320 |
32.5 |
3.1 |
(26.4--38.5) |
Morris County, New Jersey |
411 |
25.1 |
2.5 |
(20.2--30.0) |
Ocean County, New Jersey |
326 |
37.2 |
3.3 |
(30.7--43.6) |
Passaic County, New Jersey |
275 |
18.2 |
2.5 |
(13.3--23.1) |
Somerset County, New Jersey |
353 |
25.1 |
2.7 |
(19.8--30.3) |
Sussex County, New Jersey |
333 |
23.8 |
2.6 |
(18.7--28.8) |
Union County, New Jersey |
303 |
27.1 |
3.1 |
(21.0--33.1) |
Warren County, New Jersey |
306 |
22.8 |
2.7 |
(17.5--28.0) |
Bernalillo County, New Mexico |
1,071 |
25.5 |
1.5 |
(22.5--28.4) |
Dona Ana County, New Mexico |
702 |
22.8 |
1.7 |
(19.4--26.1) |
Sandoval County, New Mexico |
499 |
28.3 |
2.5 |
(23.4--33.2) |
San Juan County, New Mexico |
664 |
25.4 |
2.0 |
(21.4--29.3) |
Santa Fe County, New Mexico |
499 |
25.5 |
2.4 |
(20.7--30.2) |
Valencia County, New Mexico |
310 |
26.8 |
3.0 |
(20.9--32.6) |
Erie County, New York |
397 |
33.0 |
2.7 |
(27.7--38.2) |
Kings County, New York |
402 |
23.3 |
2.3 |
(18.7--27.8) |
Nassau County, New York |
369 |
27.5 |
2.6 |
(22.4--32.5) |
New York County, New York |
546 |
22.1 |
2.1 |
(17.9--26.2) |
Queens County, New York |
419 |
25.0 |
2.3 |
(20.4--29.5) |
Suffolk County, New York |
428 |
33.5 |
2.8 |
(28.0--38.9) |
Westchester County, New York |
273 |
25.6 |
2.8 |
(20.1--31.0) |
Buncombe County, North Carolina |
350 |
32.9 |
2.9 |
(27.2--38.5) |
Cabarrus County, North Carolina |
356 |
30.0 |
3.0 |
(24.1--35.8) |
Catawba County, North Carolina |
405 |
24.2 |
2.4 |
(19.4--28.9) |
Cumberland County, North Carolina |
374 |
35.6 |
3.3 |
(29.1--42.0) |
Durham County, North Carolina |
323 |
24.4 |
2.7 |
(19.1--29.6) |
Gaston County, North Carolina |
385 |
32.8 |
2.7 |
(27.5--38.0) |
Guilford County, North Carolina |
382 |
26.1 |
2.7 |
(20.8--31.3) |
Henderson County, North Carolina |
295 |
32.6 |
3.3 |
(26.1--39.0) |
Johnston County, North Carolina |
434 |
32.8 |
3.5 |
(25.9--39.6) |
Mecklenburg County, North Carolina |
670 |
23.8 |
1.8 |
(20.2--27.3) |
New Hanover County, North Carolina |
383 |
25.8 |
2.7 |
(20.5--31.0) |
Orange County, North Carolina |
344 |
23.8 |
2.7 |
(18.5--29.0) |
Randolph County, North Carolina |
370 |
30.6 |
2.7 |
(25.3--35.8) |
Union County, North Carolina |
370 |
23.4 |
2.3 |
(18.8--27.9) |
Wake County, North Carolina |
604 |
21.9 |
1.9 |
(18.1--25.6) |
Burleigh County, North Dakota |
491 |
25.2 |
2.2 |
(20.8--29.5) |
Cass County, North Dakota |
667 |
20.2 |
1.6 |
(17.0--23.3) |
Cuyahoga County, Ohio |
752 |
34.1 |
2.0 |
(30.1--38.0) |
Franklin County, Ohio |
743 |
28.0 |
1.9 |
(24.2--31.7) |
Hamilton County, Ohio |
811 |
32.8 |
2.0 |
(28.8--36.7) |
TABLE 60.(Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had some form of arthritis,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Licking County, Ohio |
248 |
29.6 |
3.3 |
(23.1--36.0) |
Lucas County, Ohio |
770 |
29.9 |
1.9 |
(26.1--33.6) |
Mahoning County, Ohio |
809 |
31.7 |
2.0 |
(27.7--35.6) |
Montgomery County, Ohio |
733 |
35.4 |
2.2 |
(31.0--39.7) |
Stark County, Ohio |
786 |
33.9 |
2.0 |
(29.9--37.8) |
Summit County, Ohio |
744 |
30.2 |
2.0 |
(26.2--34.1) |
Canadian County, Oklahoma |
242 |
26.3 |
3.2 |
(20.0--32.5) |
Cleveland County, Oklahoma |
407 |
28.1 |
2.6 |
(23.0--33.1) |
Oklahoma County, Oklahoma |
1,265 |
28.2 |
1.4 |
(25.4--30.9) |
Tulsa County, Oklahoma |
1,491 |
26.6 |
1.3 |
(24.0--29.1) |
Clackamas County, Oregon |
481 |
21.6 |
2.0 |
(17.6--25.5) |
Multnomah County, Oregon |
808 |
24.6 |
1.7 |
(21.2--27.9) |
Washington County, Oregon |
551 |
20.5 |
1.9 |
(16.7--24.2) |
Allegheny County, Pennsylvania |
628 |
38.4 |
2.4 |
(33.6--43.1) |
Delaware County, Pennsylvania |
270 |
30.8 |
3.2 |
(24.5--37.0) |
Fayette County, Pennsylvania |
1,603 |
40.1 |
2.0 |
(36.1--44.0) |
Luzerne County, Pennsylvania |
2,275 |
37.0 |
2.1 |
(32.8--41.1) |
Montgomery County, Pennsylvania |
332 |
24.6 |
2.6 |
(19.5--29.6) |
Philadelphia County, Pennsylvania |
1,781 |
32.8 |
2.4 |
(28.0--37.5) |
Westmoreland County, Pennsylvania |
287 |
36.5 |
3.8 |
(29.0--43.9) |
Kent County, Rhode Island |
646 |
33.6 |
2.2 |
(29.2--37.9) |
Newport County, Rhode Island |
354 |
24.6 |
2.4 |
(19.8--29.3) |
Providence County, Rhode Island |
2,706 |
30.1 |
1.1 |
(27.9--32.2) |
Washington County, Rhode Island |
508 |
25.8 |
2.3 |
(21.2--30.3) |
Aiken County, South Carolina |
677 |
30.9 |
2.1 |
(26.7--35.0) |
Beaufort County, South Carolina |
831 |
26.2 |
1.8 |
(22.6--29.7) |
Berkeley County, South Carolina |
323 |
30.7 |
3.0 |
(24.8--36.5) |
Charleston County, South Carolina |
676 |
27.1 |
2.0 |
(23.1--31.0) |
Dorchester County, South Carolina |
251 |
28.9 |
3.3 |
(22.4--35.3) |
Greenville County, South Carolina |
547 |
24.4 |
2.0 |
(20.4--28.3) |
Horry County, South Carolina |
901 |
30.7 |
1.8 |
(27.1--34.2) |
Lexington County, South Carolina |
322 |
24.4 |
2.6 |
(19.3--29.4) |
Richland County, South Carolina |
433 |
25.5 |
2.3 |
(20.9--30.0) |
York County, South Carolina |
281 |
28.9 |
3.2 |
(22.6--35.1) |
Minnehaha County, South Dakota |
710 |
23.2 |
1.7 |
(19.8--26.5) |
Pennington County, South Dakota |
756 |
26.0 |
1.8 |
(22.4--29.5) |
Davidson County, Tennessee |
271 |
27.6 |
3.2 |
(21.3--33.8) |
TABLE 60.(Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they had some form of arthritis,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
671 |
29.9 |
2.1 |
(25.7--34.0) |
Shelby County, Tennessee |
294 |
29.0 |
3.2 |
(22.7--35.2) |
Sullivan County, Tennessee |
412 |
35.5 |
2.9 |
(29.8--41.1) |
Bexar County, Texas |
1,048 |
23.3 |
1.5 |
(20.3--26.2) |
Cameron County, Texas |
606 |
22.4 |
2.0 |
(18.4--26.3) |
Collin County, Texas |
256 |
17.5 |
2.7 |
(12.2--22.7) |
Dallas County, Texas |
831 |
20.2 |
1.7 |
(16.8--23.5) |
Denton County, Texas |
254 |
19.9 |
3.1 |
(13.8--25.9) |
El Paso County, Texas |
1,478 |
20.8 |
1.2 |
(18.4--23.1) |
Harris County, Texas |
947 |
21.2 |
1.5 |
(18.2--24.1) |
Hidalgo County, Texas |
935 |
20.7 |
1.7 |
(17.3--24.0) |
Tarrant County, Texas |
1,130 |
23.4 |
1.4 |
(20.6--26.1) |
Travis County, Texas |
780 |
16.8 |
1.5 |
(13.8--19.7) |
Webb County, Texas |
497 |
16.3 |
2.6 |
(11.2--21.3) |
Williamson County, Texas |
350 |
20.3 |
2.4 |
(15.5--25.0) |
Davis County, Utah |
415 |
22.6 |
2.2 |
(18.2--26.9) |
Salt Lake County, Utah |
1,629 |
20.9 |
1.1 |
(18.7--23.0) |
Tooele County, Utah |
249 |
22.4 |
2.9 |
(16.7--28.0) |
Utah County, Utah |
545 |
18.8 |
2.0 |
(14.8--22.7) |
Weber County, Utah |
401 |
25.2 |
2.4 |
(20.4--29.9) |
Chittenden County, Vermont |
1,411 |
23.5 |
1.3 |
(20.9--26.0) |
Franklin County, Vermont |
462 |
26.5 |
2.2 |
(22.1--30.8) |
Orange County, Vermont |
368 |
32.2 |
2.7 |
(26.9--37.4) |
Rutland County, Vermont |
673 |
34.7 |
2.1 |
(30.5--38.8) |
Washington County, Vermont |
685 |
25.5 |
1.8 |
(21.9--29.0) |
Windsor County, Vermont |
718 |
31.0 |
2.1 |
(26.8--35.1) |
Arlington County, Virginia |
294 |
16.5 |
2.6 |
(11.4--21.5) |
Fairfax County, Virginia |
245 |
28.0 |
4.3 |
(19.5--36.4) |
Prince William County, Virginia |
279 |
20.7 |
2.8 |
(15.2--26.1) |
Alexandria city, Virginia |
254 |
17.5 |
3.3 |
(11.0--23.9) |
Benton County, Washington |
446 |
26.2 |
2.3 |
(21.6--30.7) |
Chelan County, Washington |
539 |
30.7 |
2.4 |
(25.9--35.4) |
Clark County, Washington |
1,686 |
26.5 |
1.2 |
(24.1--28.8) |
Douglas County, Washington |
528 |
25.8 |
2.2 |
(21.4--30.1) |
King County, Washington |
4,377 |
24.6 |
0.7 |
(23.2--25.9) |
Kitsap County, Washington |
997 |
29.8 |
1.7 |
(26.4--33.1) |
Pierce County, Washington |
1,881 |
29.7 |
1.2 |
(27.3--32.0) |
Snohomish County, Washington |
2,721 |
26.6 |
1.0 |
(24.6--28.5) |
Spokane County, Washington |
1,359 |
29.9 |
1.5 |
(26.9--32.8) |
Thurston County, Washington |
1,859 |
29.5 |
1.2 |
(27.1--31.8) |
Whatcom County, Washington |
1,151 |
23.7 |
1.5 |
(20.7--26.6) |
Yakima County, Washington |
749 |
24.5 |
1.7 |
(21.1--27.8) |
Kanawha County, West Virginia |
503 |
31.7 |
2.4 |
(26.9--36.4) |
Milwaukee County, Wisconsin |
1,132 |
27.9 |
2.3 |
(23.3--32.4) |
Fremont County, Wyoming |
493 |
31.5 |
2.5 |
(26.6--36.4) |
Laramie County, Wyoming |
897 |
27.9 |
1.7 |
(24.5--31.2) |
Natrona County, Wyoming |
743 |
28.0 |
1.9 |
(24.2--31.7) |
Median |
26.1 |
|||
Range |
16.3--40.1 |
|||
* Arthritis diagnoses include: rheumatism, polymyalgia rheumatica, osteoarthritis (not osteporosis), tendonitis, bursitis, bunion, tennis elbow, carpal tunnel syndrome, tarsal tunnel syndrome, joint infection, Reiter´s syndrome, ankylosing spondylitis, spondylosis, rotator cuff syndrome, connective tissue disease, scleroderma, polymyositis, Raynaud´s syndrome, vasculitis (giant cell arteritis, Henoch-Schonlein purpura, Wegener´s granulomatosis, polyarteritis nodosa). † Standard error. § Confidence interval. |
TABLE 62. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they currently have asthma,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Gainesville, Florida |
1,074 |
6.6 |
1.2 |
(4.2--8.9) |
Grand Island, Nebraska |
563 |
6.1 |
1.1 |
(3.9--8.2) |
Grand Rapids-Wyoming, Michigan |
503 |
8.5 |
1.5 |
(5.5--11.4) |
Greeley, Colorado |
537 |
9.1 |
1.4 |
(6.3--11.8) |
Greensboro-High Point, North Carolina |
827 |
8.8 |
1.3 |
(6.2--11.3) |
Greenville, South Carolina |
881 |
6.6 |
1.3 |
(4.0--9.1) |
Gulfport-Biloxi, Mississippi |
503 |
5.4 |
1.3 |
(2.8--7.9) |
Hagerstown-Martinsburg, Maryland-West Virginia |
708 |
8.4 |
1.4 |
(5.6--11.1) |
Hartford-West Hartford-East Hartford, Connecticut |
2,357 |
10.9 |
1.0 |
(8.9--12.8) |
Hickory-Morganton-Lenoir, North Carolina |
864 |
8.0 |
1.3 |
(5.4--10.5) |
Hilo, Hawaii |
1,511 |
7.2 |
0.8 |
(5.6--8.7) |
Hilton Head Island-Beaufort, South Carolina |
942 |
7.7 |
1.5 |
(4.7--10.6) |
Homosassa Springs, Florida |
580 |
12.0 |
1.7 |
(8.6--15.3) |
Honolulu, Hawaii |
2,901 |
8.2 |
0.7 |
(6.8--9.5) |
Houston-Sugar Land-Baytown, Texas |
1,553 |
8.6 |
1.2 |
(6.2--10.9) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
600 |
11.5 |
1.8 |
(7.9--15.0) |
Idaho Falls, Idaho |
506 |
10.7 |
1.7 |
(7.3--14.0) |
Indianapolis-Carmel, Indiana |
1,568 |
9.5 |
0.9 |
(7.7--11.2) |
Jackson, Mississippi |
1,164 |
4.9 |
0.8 |
(3.3--6.4) |
Jacksonville, Florida |
3,988 |
6.7 |
0.5 |
(5.7--7.6) |
Kahului-Wailuku, Hawaii |
1,503 |
8.9 |
1.1 |
(6.7--11.0) |
Kalispell, Montana |
555 |
8.9 |
1.3 |
(6.3--11.4) |
Kansas City, Missouri-Kansas |
3,349 |
8.2 |
0.7 |
(6.8--9.5) |
Kapaa, Hawaii |
650 |
6.3 |
1.1 |
(4.1--8.4) |
Kennewick-Richland-Pasco, Washington |
677 |
8.4 |
1.4 |
(5.6--11.1) |
Key West-Marathon, Florida |
506 |
6.0 |
1.8 |
(2.4--9.5) |
Kingsport-Bristol, Tennessee-Virginia |
594 |
10.9 |
1.6 |
(7.7--14.0) |
Lake Charles, Louisiana |
539 |
5.8 |
1.1 |
(3.6--7.9) |
Lake City, Florida |
586 |
8.3 |
1.5 |
(5.3--11.2) |
Lakeland-Winter Haven, Florida |
526 |
8.0 |
1.3 |
(5.4--10.5) |
Laredo, Texas |
508 |
4.0 |
1.6 |
(0.8--7.1) |
Las Cruces, New Mexico |
706 |
8.8 |
1.4 |
(6.0--11.5) |
Las Vegas-Paradise, Nevada |
1,355 |
6.8 |
0.8 |
(5.2--8.3) |
Lebanon, New Hampshire-Vermont |
1,604 |
9.0 |
1.0 |
(7.0--10.9) |
Lewiston, Idaho-Washington |
519 |
11.6 |
1.7 |
(8.2--14.9) |
Lincoln, Nebraska |
708 |
10.3 |
2.1 |
(6.1--14.4) |
Little Rock-North Little Rock, Arkansas |
1,242 |
7.0 |
1.1 |
(4.8--9.1) |
Los Angeles-Long Beach-Glendale, California¶ |
869 |
6.0 |
1.0 |
(4.0--7.9) |
Louisville, Kentucky-Indiana |
862 |
7.2 |
1.2 |
(4.8--9.5) |
Manchester-Nashua, New Hampshire |
1,435 |
12.7 |
1.1 |
(10.5--14.8) |
McAllen-Edinburg-Mission, Texas |
954 |
5.1 |
0.9 |
(3.3--6.8) |
Memphis, Tennessee-Mississippi-Arkansas |
986 |
6.4 |
1.2 |
(4.0--8.7) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,169 |
4.9 |
0.7 |
(3.5--6.2) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,529 |
12.0 |
1.7 |
(8.6--15.3) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,742 |
7.7 |
0.6 |
(6.5--8.8) |
Mobile, Alabama |
579 |
7.0 |
1.3 |
(4.4--9.5) |
Montgomery, Alabama |
511 |
6.2 |
1.5 |
(3.2--9.1) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
910 |
6.9 |
1.1 |
(4.7--9.0) |
Naples-Marco Island, Florida |
815 |
5.9 |
1.8 |
(2.3--9.4) |
Nashville-Davidson-Murfreesboro, Tennessee |
607 |
9.5 |
1.9 |
(5.7--13.2) |
Nassau-Suffolk, New York¶ |
812 |
6.7 |
1.0 |
(4.7--8.6) |
Newark-Union, New Jersey-Pennsylvania¶ |
2,006 |
8.4 |
1.0 |
(6.4--10.3) |
New Haven-Milford, Connecticut |
1,786 |
7.2 |
0.8 |
(5.6--8.7) |
New Orleans-Metairie-Kenner, Louisiana |
1,231 |
6.7 |
1.0 |
(4.7--8.6) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,396 |
8.3 |
0.6 |
(7.1--9.4) |
Nogales, Arizona |
523 |
4.2 |
1.4 |
(1.4--6.9) |
Norwich-New London, Connecticut |
501 |
12.0 |
1.9 |
(8.2--15.7) |
Ocala, Florida |
630 |
7.0 |
1.4 |
(4.2--9.7) |
Ogden-Clearfield, Utah |
835 |
8.3 |
1.1 |
(6.1--10.4) |
Okeechobee, Florida |
722 |
7.8 |
1.7 |
(4.4--11.1) |
Oklahoma City, Oklahoma |
2,261 |
8.9 |
0.7 |
(7.5--10.2) |
Olympia, Washington |
1,867 |
9.4 |
0.8 |
(7.8--10.9) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,540 |
8.0 |
1.0 |
(6.0--9.9) |
Orlando-Kissimmee, Florida |
2,692 |
5.8 |
0.6 |
(4.6--6.9) |
TABLE 62. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they currently have asthma,* by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Palm Bay-Melbourne-Titusville, Florida |
553 |
4.2 |
0.8 |
(2.6--5.7) |
Palm Coast, Florida |
533 |
4.5 |
1.1 |
(2.3--6.6) |
Panama City-Lynn Haven, Florida |
542 |
7.3 |
1.2 |
(4.9--9.6) |
Pensacola-Ferry Pass-Brent, Florida |
1,033 |
7.1 |
1.1 |
(4.9--9.2) |
Philadelphia, Pennsylvania¶ |
2,864 |
8.2 |
0.9 |
(6.4--9.9) |
Phoenix-Mesa-Scottsdale, Arizona |
1,279 |
8.0 |
1.1 |
(5.8--10.1) |
Pittsburgh, Pennsylvania |
2,947 |
8.5 |
1.1 |
(6.3--10.6) |
Portland-South Portland-Biddeford, Maine |
2,090 |
8.7 |
0.8 |
(7.1--10.2) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,940 |
9.2 |
0.7 |
(7.8--10.5) |
Port St. Lucie-Fort Pierce, Florida |
1,080 |
5.3 |
0.8 |
(3.7--6.8) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,113 |
10.0 |
0.5 |
(9.0--10.9) |
Provo-Orem, Utah |
582 |
8.5 |
1.5 |
(5.5--11.4) |
Raleigh-Cary, North Carolina |
1,089 |
6.6 |
1.3 |
(4.0--9.1) |
Rapid City, South Dakota |
974 |
8.5 |
1.2 |
(6.1--10.8) |
Reno-Sparks, Nevada |
1,391 |
7.1 |
0.8 |
(5.5--8.6) |
Richmond, Virginia |
856 |
6.6 |
1.1 |
(4.4--8.7) |
Riverside-San Bernardino-Ontario, California |
683 |
7.0 |
1.2 |
(4.6--9.3) |
Riverton, Wyoming |
500 |
6.2 |
1.1 |
(4.0--8.3) |
Rockingham County-Strafford County, New Hampshire¶ |
1,612 |
10.0 |
1.0 |
(8.0--11.9) |
Rutland, Vermont |
676 |
11.0 |
1.3 |
(8.4--13.5) |
St. Louis, Missouri-Illinois |
1,564 |
8.1 |
1.0 |
(6.1--10.0) |
Salt Lake City, Utah |
2,130 |
9.1 |
0.8 |
(7.5--10.6) |
San Antonio, Texas |
1,416 |
7.9 |
1.0 |
(5.9--9.8) |
San Diego-Carlsbad-San Marcos, California |
511 |
9.1 |
1.6 |
(5.9--12.2) |
San Francisco-Oakland-Fremont, California |
779 |
7.0 |
1.1 |
(4.8--9.1) |
Santa Fe, New Mexico |
523 |
9.2 |
1.7 |
(5.8--12.5) |
Sarasota-Bradenton-Venice, Florida |
1,333 |
6.9 |
1.2 |
(4.5--9.2) |
Scranton-Wilkes-Barre, Pennsylvania |
2,514 |
8.8 |
1.4 |
(6.0--11.5) |
Seaford, Delaware |
1,232 |
9.2 |
1.0 |
(7.2--11.1) |
Seattle-Bellevue-Everett, Washington¶ |
7,139 |
8.2 |
0.4 |
(7.4--8.9) |
Sebring, Florida |
763 |
5.8 |
1.3 |
(3.2--8.3) |
Sioux City, Iowa-Nebraska-South Dakota |
891 |
7.0 |
2.1 |
(2.8--11.1) |
Sioux Falls, South Dakota |
976 |
6.4 |
1.1 |
(4.2--8.5) |
Spokane, Washington |
1,370 |
10.6 |
1.1 |
(8.4--12.7) |
Springfield, Massachusetts |
2,573 |
12.5 |
1.3 |
(9.9--15.0) |
Tacoma, Washington¶ |
1,894 |
10.8 |
1.0 |
(8.8--12.7) |
Tallahassee, Florida |
2,091 |
9.5 |
1.4 |
(6.7--12.2) |
Tampa-St. Petersburg-Clearwater, Florida |
2,182 |
7.5 |
0.8 |
(5.9--9.0) |
Toledo, Ohio |
984 |
9.2 |
1.1 |
(7.0--11.3) |
Topeka, Kansas |
785 |
7.4 |
1.1 |
(5.2--9.5) |
Tucson, Arizona |
743 |
11.0 |
1.7 |
(7.6--14.3) |
Tulsa, Oklahoma |
2,095 |
7.8 |
0.8 |
(6.2--9.3) |
Tuscaloosa, Alabama |
536 |
6.3 |
1.2 |
(3.9--8.6) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,150 |
8.5 |
1.3 |
(5.9--11.0) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,482 |
9.0 |
1.0 |
(7.0--10.9) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,779 |
7.7 |
0.7 |
(6.3--9.0) |
Wauchula, Florida |
692 |
7.3 |
1.5 |
(4.3--10.2) |
Wenatchee, Washington |
1,068 |
7.9 |
1.1 |
(5.7--10.0) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
545 |
4.8 |
1.1 |
(2.6--6.9) |
Wichita, Kansas |
1,559 |
8.1 |
1.0 |
(6.1--10.0) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,765 |
7.9 |
0.8 |
(6.3--9.4) |
Wilmington, North Carolina |
614 |
6.6 |
1.8 |
(3.0--10.1) |
Worcester, Massachusetts |
2,737 |
10.4 |
1.0 |
(8.4--12.3) |
Yakima, Washington |
745 |
8.6 |
1.4 |
(5.8--11.3) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,039 |
9.7 |
2.0 |
(5.7--13.6) |
Yuma, Arizona |
560 |
7.4 |
1.2 |
(5.0--9.7) |
Median |
8.1 |
|||
Range |
3.6--13.2 |
|||
* Defined as ever been told by a health professional that the respondent had asthma and reporting that they still have asthma. † Standard error. § Confidence interval. ¶ Metropolitan division. |
TABLE 63. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they currently have asthma,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
630 |
7.0 |
1.4 |
(4.2--9.7) |
Martin County, Florida |
549 |
5.5 |
1.1 |
(3.3--7.6) |
Miami-Dade County, Florida |
612 |
4.8 |
0.9 |
(3.0--6.5) |
Monroe County, Florida |
506 |
6.0 |
1.8 |
(2.4--9.5) |
Nassau County, Florida |
543 |
5.5 |
1.1 |
(3.3--7.6) |
Okeechobee County, Florida |
722 |
7.8 |
1.7 |
(4.4--11.1) |
Orange County, Florida |
823 |
5.1 |
0.9 |
(3.3--6.8) |
Osceola County, Florida |
717 |
7.3 |
1.3 |
(4.7--9.8) |
Palm Beach County, Florida |
545 |
4.8 |
1.1 |
(2.6--6.9) |
Pasco County, Florida |
551 |
7.0 |
1.2 |
(4.6--9.3) |
Pinellas County, Florida |
543 |
8.7 |
2.0 |
(4.7--12.6) |
Polk County, Florida |
526 |
8.0 |
1.3 |
(5.4--10.5) |
St. Johns County, Florida |
562 |
6.5 |
1.3 |
(3.9--9.0) |
St. Lucie County, Florida |
531 |
4.9 |
1.0 |
(2.9--6.8) |
Santa Rosa County, Florida |
503 |
5.8 |
1.1 |
(3.6--7.9) |
Sarasota County, Florida |
829 |
6.6 |
1.5 |
(3.6--9.5) |
Seminole County, Florida |
536 |
6.5 |
1.3 |
(3.9--9.0) |
Volusia County, Florida |
514 |
8.6 |
1.7 |
(5.2--11.9) |
Wakulla County, Florida |
547 |
11.4 |
2.8 |
(5.9--16.8) |
Clayton County, Georgia |
339 |
10.6 |
2.8 |
(5.1--16.0) |
Cobb County, Georgia |
407 |
8.2 |
1.8 |
(4.6--11.7) |
DeKalb County, Georgia |
428 |
6.2 |
1.5 |
(3.2--9.1) |
Fulton County, Georgia |
411 |
8.9 |
1.7 |
(5.5--12.2) |
Gwinnett County, Georgia |
316 |
9.7 |
2.1 |
(5.5--13.8) |
Hawaii County, Hawaii |
1,511 |
7.2 |
0.8 |
(5.6--8.7) |
Honolulu County, Hawaii |
2,901 |
8.2 |
0.7 |
(6.8--9.5) |
Kauai County, Hawaii |
650 |
6.3 |
1.1 |
(4.1--8.4) |
Maui County, Hawaii |
1,503 |
8.9 |
1.1 |
(6.7--11.0) |
Ada County, Idaho |
645 |
9.4 |
1.5 |
(6.4--12.3) |
Bonneville County, Idaho |
392 |
10.4 |
1.7 |
(7.0--13.7) |
Canyon County, Idaho |
486 |
9.1 |
1.5 |
(6.1--12.0) |
Nez Perce County, Idaho |
272 |
9.7 |
1.9 |
(5.9--13.4) |
Cook County, Illinois |
1,650 |
8.2 |
0.9 |
(6.4--9.9) |
DuPage County, Illinois |
380 |
6.4 |
1.4 |
(3.6--9.1) |
Lake County, Illinois |
293 |
11.7 |
2.2 |
(7.3--16.0) |
Lake County, Indiana |
571 |
9.3 |
2.2 |
(4.9--13.6) |
Marion County, Indiana |
1,119 |
10.8 |
1.2 |
(8.4--13.1) |
Polk County, Iowa |
723 |
6.3 |
1.0 |
(4.3--8.2) |
Johnson County, Kansas |
1,541 |
7.5 |
0.9 |
(5.7--9.2) |
Sedgwick County, Kansas |
1,175 |
8.5 |
1.1 |
(6.3--10.6) |
Shawnee County, Kansas |
552 |
8.2 |
1.5 |
(5.2--11.1) |
Wyandotte County, Kansas |
349 |
8.9 |
2.1 |
(4.7--13.0) |
Jefferson County, Kentucky |
477 |
6.8 |
1.5 |
(3.8--9.7) |
Calcasieu Parish, Louisiana |
517 |
5.7 |
1.2 |
(3.3--8.0) |
East Baton Rouge Parish, Louisiana |
505 |
7.2 |
1.5 |
(4.2--10.1) |
Jefferson Parish, Louisiana |
419 |
6.9 |
1.3 |
(4.3--9.4) |
Orleans Parish, Louisiana |
290 |
4.0 |
1.3 |
(1.4--6.5) |
St. Tammany Parish, Louisiana |
331 |
9.8 |
2.5 |
(4.9--14.7) |
Cumberland County, Maine |
1,083 |
9.1 |
1.0 |
(7.1--11.0) |
Kennebec County, Maine |
543 |
12.4 |
1.6 |
(9.2--15.5) |
Penobscot County, Maine |
655 |
13.2 |
1.7 |
(9.8--16.5) |
Sagadahoc County, Maine |
276 |
8.1 |
2.0 |
(4.1--12.0) |
York County, Maine |
731 |
7.9 |
1.3 |
(5.3--10.4) |
Anne Arundel County, Maryland |
556 |
7.7 |
1.4 |
(4.9--10.4) |
Baltimore County, Maryland |
979 |
7.7 |
1.0 |
(5.7--9.6) |
Charles County, Maryland |
296 |
8.6 |
2.0 |
(4.6--12.5) |
Frederick County, Maryland |
539 |
6.6 |
1.2 |
(4.2--8.9) |
Harford County, Maryland |
306 |
12.1 |
2.4 |
(7.3--16.8) |
Howard County, Maryland |
338 |
7.0 |
1.6 |
(3.8--10.1) |
Montgomery County, Maryland |
1,093 |
7.2 |
1.0 |
(5.2--9.1) |
Prince George´s County, Maryland |
642 |
7.8 |
1.1 |
(5.6--9.9) |
Queen Anne´s County, Maryland |
256 |
9.3 |
2.3 |
(4.7--13.8) |
Washington County, Maryland |
441 |
8.0 |
1.5 |
(5.0--10.9) |
TABLE 63. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they currently have asthma,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
497 |
10.9 |
1.5 |
(7.9--13.8) |
Barnstable County, Massachusetts |
583 |
7.1 |
1.5 |
(4.1--10.0) |
Bristol County, Massachusetts |
3,645 |
10.4 |
1.0 |
(8.4--12.3) |
Essex County, Massachusetts |
2,967 |
10.4 |
1.0 |
(8.4--12.3) |
Hampden County, Massachusetts |
2,001 |
12.9 |
1.6 |
(9.7--16.0) |
Hampshire County, Massachusetts |
364 |
12.5 |
2.4 |
(7.7--17.2) |
Middlesex County, Massachusetts |
3,935 |
9.1 |
0.7 |
(7.7--10.4) |
Norfolk County, Massachusetts |
1,255 |
11.2 |
1.2 |
(8.8--13.5) |
Plymouth County, Massachusetts |
837 |
8.9 |
1.7 |
(5.5--12.2) |
Suffolk County, Massachusetts |
2,379 |
8.9 |
0.8 |
(7.3--10.4) |
Worcester County, Massachusetts |
2,737 |
10.4 |
1.0 |
(8.4--12.3) |
Kent County, Michigan |
374 |
6.8 |
1.5 |
(3.8--9.7) |
Macomb County, Michigan |
408 |
8.4 |
1.6 |
(5.2--11.5) |
Oakland County, Michigan |
773 |
8.3 |
1.3 |
(5.7--10.8) |
Wayne County, Michigan |
1,638 |
11.2 |
1.2 |
(8.8--13.5) |
Anoka County, Minnesota |
271 |
11.8 |
2.5 |
(6.9--16.7) |
Dakota County, Minnesota |
348 |
8.7 |
1.7 |
(5.3--12.0) |
Hennepin County, Minnesota |
942 |
6.6 |
0.8 |
(5.0--8.1) |
Ramsey County, Minnesota |
412 |
8.2 |
1.6 |
(5.0--11.3) |
DeSoto County, Mississippi |
262 |
7.6 |
2.0 |
(3.6--11.5) |
Harrison County, Mississippi |
382 |
5.1 |
1.5 |
(2.1--8.0) |
Hinds County, Mississippi |
523 |
6.1 |
1.3 |
(3.5--8.6) |
Rankin County, Mississippi |
298 |
4.2 |
1.2 |
(1.8--6.5) |
Jackson County, Missouri |
494 |
9.3 |
1.4 |
(6.5--12.0) |
St. Louis County, Missouri |
455 |
7.3 |
1.6 |
(4.1--10.4) |
St. Louis City, Missouri |
467 |
7.4 |
1.3 |
(4.8--9.9) |
Flathead County, Montana |
555 |
8.9 |
1.3 |
(6.3--11.4) |
Yellowstone County, Montana |
447 |
9.7 |
1.8 |
(6.1--13.2) |
Dakota County, Nebraska |
483 |
4.6 |
1.0 |
(2.6--6.5) |
Douglas County, Nebraska |
600 |
8.8 |
1.4 |
(6.0--11.5) |
Hall County, Nebraska |
376 |
6.4 |
1.3 |
(3.8--8.9) |
Lancaster County, Nebraska |
547 |
10.9 |
2.3 |
(6.3--15.4) |
Sarpy County, Nebraska |
381 |
7.3 |
1.7 |
(3.9--10.6) |
Clark County, Nevada |
1,355 |
6.8 |
0.8 |
(5.2--8.3) |
Washoe County, Nevada |
1,368 |
7.0 |
0.8 |
(5.4--8.5) |
Grafton County, New Hampshire |
510 |
8.3 |
1.8 |
(4.7--11.8) |
Hillsborough County, New Hampshire |
1,435 |
12.7 |
1.1 |
(10.5--14.8) |
Merrimack County, New Hampshire |
647 |
7.0 |
1.2 |
(4.6--9.3) |
Rockingham County, New Hampshire |
993 |
9.7 |
1.1 |
(7.5--11.8) |
Strafford County, New Hampshire |
619 |
11.1 |
1.9 |
(7.3--14.8) |
Bergen County, New Jersey |
384 |
12.2 |
2.8 |
(6.7--17.6) |
Burlington County, New Jersey |
342 |
7.1 |
1.8 |
(3.5--10.6) |
Camden County, New Jersey |
322 |
10.9 |
2.5 |
(6.0--15.8) |
Essex County, New Jersey |
538 |
6.7 |
1.4 |
(3.9--9.4) |
Gloucester County, New Jersey |
338 |
10.6 |
2.2 |
(6.2--14.9) |
Hudson County, New Jersey |
572 |
8.6 |
1.4 |
(5.8--11.3) |
Hunterdon County, New Jersey |
365 |
9.1 |
1.9 |
(5.3--12.8) |
Middlesex County, New Jersey |
383 |
10.9 |
2.1 |
(6.7--15.0) |
Monmouth County, New Jersey |
327 |
7.4 |
1.7 |
(4.0--10.7) |
Morris County, New Jersey |
418 |
9.3 |
2.1 |
(5.1--13.4) |
Ocean County, New Jersey |
331 |
7.5 |
1.6 |
(4.3--10.6) |
Passaic County, New Jersey |
283 |
6.2 |
1.8 |
(2.6--9.7) |
Somerset County, New Jersey |
358 |
4.9 |
1.1 |
(2.7--7.0) |
Sussex County, New Jersey |
337 |
8.8 |
2.0 |
(4.8--12.7) |
Union County, New Jersey |
314 |
7.9 |
1.8 |
(4.3--11.4) |
Warren County, New Jersey |
309 |
7.5 |
1.7 |
(4.1--10.8) |
Bernalillo County, New Mexico |
1,099 |
8.7 |
1.0 |
(6.7--10.6) |
Dona Ana County, New Mexico |
706 |
8.8 |
1.4 |
(6.0--11.5) |
Sandoval County, New Mexico |
503 |
10.1 |
1.9 |
(6.3--13.8) |
San Juan County, New Mexico |
678 |
8.1 |
1.3 |
(5.5--10.6) |
Santa Fe County, New Mexico |
523 |
9.2 |
1.7 |
(5.8--12.5) |
Valencia County, New Mexico |
314 |
7.1 |
1.7 |
(3.7--10.4) |
Erie County, New York |
402 |
7.8 |
1.6 |
(4.6--10.9) |
TABLE 63. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they currently have asthma,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
415 |
7.8 |
1.6 |
(4.6--10.9) |
Nassau County, New York |
376 |
3.4 |
0.9 |
(1.6--5.1) |
New York County, New York |
560 |
10.3 |
1.8 |
(6.7--13.8) |
Queens County, New York |
437 |
5.0 |
1.1 |
(2.8--7.1) |
Suffolk County, New York |
436 |
10.2 |
1.9 |
(6.4--13.9) |
Westchester County, New York |
280 |
13.2 |
2.5 |
(8.3--18.1) |
Buncombe County, North Carolina |
354 |
5.8 |
1.3 |
(3.2--8.3) |
Cabarrus County, North Carolina |
356 |
7.7 |
1.6 |
(4.5--10.8) |
Catawba County, North Carolina |
407 |
7.5 |
1.4 |
(4.7--10.2) |
Cumberland County, North Carolina |
377 |
9.4 |
1.9 |
(5.6--13.1) |
Durham County, North Carolina |
330 |
4.0 |
1.2 |
(1.6--6.3) |
Gaston County, North Carolina |
389 |
6.1 |
1.3 |
(3.5--8.6) |
Guilford County, North Carolina |
386 |
7.7 |
1.6 |
(4.5--10.8) |
Henderson County, North Carolina |
294 |
8.8 |
2.3 |
(4.2--13.3) |
Johnston County, North Carolina |
438 |
5.4 |
1.3 |
(2.8--7.9) |
Mecklenburg County, North Carolina |
679 |
6.4 |
1.1 |
(4.2--8.5) |
New Hanover County, North Carolina |
390 |
5.7 |
1.7 |
(2.3--9.0) |
Orange County, North Carolina |
346 |
10.1 |
3.1 |
(4.0--16.1) |
Randolph County, North Carolina |
372 |
6.7 |
1.4 |
(3.9--9.4) |
Union County, North Carolina |
376 |
8.5 |
2.2 |
(4.1--12.8) |
Wake County, North Carolina |
605 |
6.7 |
1.6 |
(3.5--9.8) |
Burleigh County, North Dakota |
495 |
7.7 |
1.6 |
(4.5--10.8) |
Cass County, North Dakota |
671 |
10.0 |
1.6 |
(6.8--13.1) |
Cuyahoga County, Ohio |
760 |
9.5 |
1.4 |
(6.7--12.2) |
Franklin County, Ohio |
748 |
7.5 |
1.4 |
(4.7--10.2) |
Hamilton County, Ohio |
822 |
7.5 |
1.1 |
(5.3--9.6) |
Licking County, Ohio |
251 |
9.0 |
1.9 |
(5.2--12.7) |
Lucas County, Ohio |
782 |
11.5 |
1.4 |
(8.7--14.2) |
Mahoning County, Ohio |
817 |
5.7 |
1.0 |
(3.7--7.6) |
Montgomery County, Ohio |
746 |
10.2 |
1.5 |
(7.2--13.1) |
Stark County, Ohio |
792 |
7.7 |
1.2 |
(5.3--10.0) |
Summit County, Ohio |
749 |
7.1 |
1.1 |
(4.9--9.2) |
Canadian County, Oklahoma |
246 |
6.3 |
1.6 |
(3.1--9.4) |
Cleveland County, Oklahoma |
411 |
6.1 |
1.3 |
(3.5--8.6) |
Oklahoma County, Oklahoma |
1,266 |
9.8 |
1.0 |
(7.8--11.7) |
Tulsa County, Oklahoma |
1,508 |
7.5 |
0.8 |
(5.9--9.0) |
Clackamas County, Oregon |
479 |
9.4 |
1.6 |
(6.2--12.5) |
Multnomah County, Oregon |
813 |
8.4 |
1.2 |
(6.0--10.7) |
Washington County, Oregon |
554 |
9.2 |
1.5 |
(6.2--12.1) |
Allegheny County, Pennsylvania |
641 |
10.0 |
1.9 |
(6.2--13.7) |
Delaware County, Pennsylvania |
274 |
9.2 |
2.0 |
(5.2--13.1) |
Fayette County, Pennsylvania |
1,621 |
8.9 |
1.3 |
(6.3--11.4) |
Luzerne County, Pennsylvania |
2,324 |
8.3 |
1.3 |
(5.7--10.8) |
Montgomery County, Pennsylvania |
336 |
5.0 |
1.3 |
(2.4--7.5) |
Philadelphia County, Pennsylvania |
1,810 |
10.2 |
1.6 |
(7.0--13.3) |
Westmoreland County, Pennsylvania |
295 |
7.6 |
1.9 |
(3.8--11.3) |
Kent County, Rhode Island |
655 |
11.4 |
1.6 |
(8.2--14.5) |
Newport County, Rhode Island |
358 |
6.3 |
1.9 |
(2.5--10.0) |
Providence County, Rhode Island |
2,730 |
10.8 |
0.8 |
(9.2--12.3) |
Washington County, Rhode Island |
513 |
7.9 |
1.5 |
(4.9--10.8) |
Aiken County, South Carolina |
683 |
6.3 |
1.0 |
(4.3--8.2) |
Beaufort County, South Carolina |
850 |
8.0 |
1.6 |
(4.8--11.1) |
Berkeley County, South Carolina |
328 |
10.2 |
2.3 |
(5.6--14.7) |
Charleston County, South Carolina |
688 |
5.8 |
1.4 |
(3.0--8.5) |
Dorchester County, South Carolina |
250 |
9.5 |
2.1 |
(5.3--13.6) |
Greenville County, South Carolina |
554 |
6.3 |
1.6 |
(3.1--9.4) |
Horry County, South Carolina |
910 |
6.9 |
1.1 |
(4.7--9.0) |
Lexington County, South Carolina |
331 |
6.6 |
1.6 |
(3.4--9.7) |
Richland County, South Carolina |
442 |
6.5 |
1.3 |
(3.9--9.0) |
York County, South Carolina |
280 |
5.4 |
1.5 |
(2.4--8.3) |
Minnehaha County, South Dakota |
725 |
7.7 |
1.3 |
(5.1--10.2) |
Pennington County, South Dakota |
765 |
8.6 |
1.4 |
(5.8--11.3) |
Davidson County, Tennessee |
284 |
9.0 |
2.3 |
(4.4--13.5) |
TABLE 63. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly told by a health professional that they currently have asthma,* by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
686 |
6.2 |
1.2 |
(3.8--8.5) |
Shelby County, Tennessee |
299 |
5.6 |
1.8 |
(2.0--9.1) |
Sullivan County, Tennessee |
424 |
11.1 |
1.9 |
(7.3--14.8) |
Bexar County, Texas |
1,060 |
7.1 |
1.0 |
(5.1--9.0) |
Cameron County, Texas |
621 |
3.6 |
0.8 |
(2.0--5.1) |
Collin County, Texas |
261 |
10.1 |
2.6 |
(5.0--15.1) |
Dallas County, Texas |
854 |
6.5 |
1.1 |
(4.3--8.6) |
Denton County, Texas |
258 |
8.3 |
1.9 |
(4.5--12.0) |
El Paso County, Texas |
1,511 |
7.8 |
1.0 |
(5.8--9.7) |
Harris County, Texas |
970 |
7.9 |
1.7 |
(4.5--11.2) |
Hidalgo County, Texas |
954 |
5.1 |
0.9 |
(3.3--6.8) |
Tarrant County, Texas |
1,142 |
9.0 |
1.1 |
(6.8--11.1) |
Travis County, Texas |
792 |
6.3 |
1.0 |
(4.3--8.2) |
Webb County, Texas |
508 |
4.0 |
1.6 |
(0.8--7.1) |
Williamson County, Texas |
362 |
5.1 |
1.2 |
(2.7--7.4) |
Davis County, Utah |
417 |
8.2 |
1.3 |
(5.6--10.7) |
Salt Lake County, Utah |
1,646 |
9.4 |
0.9 |
(7.6--11.1) |
Tooele County, Utah |
246 |
5.3 |
1.5 |
(2.3--8.2) |
Utah County, Utah |
550 |
8.5 |
1.5 |
(5.5--11.4) |
Weber County, Utah |
400 |
8.1 |
1.6 |
(4.9--11.2) |
Chittenden County, Vermont |
1,415 |
9.4 |
1.2 |
(7.0--11.7) |
Franklin County, Vermont |
465 |
8.9 |
1.4 |
(6.1--11.6) |
Orange County, Vermont |
373 |
6.8 |
1.4 |
(4.0--9.5) |
Rutland County, Vermont |
676 |
11.0 |
1.3 |
(8.4--13.5) |
Washington County, Vermont |
691 |
8.3 |
1.4 |
(5.5--11.0) |
Windsor County, Vermont |
721 |
10.9 |
1.4 |
(8.1--13.6) |
Arlington County, Virginia |
296 |
9.2 |
2.2 |
(4.8--13.5) |
Fairfax County, Virginia |
249 |
8.4 |
2.2 |
(4.0--12.7) |
Prince William County, Virginia |
282 |
5.6 |
1.5 |
(2.6--8.5) |
Alexandria city, Virginia |
263 |
8.3 |
2.8 |
(2.8--13.7) |
Benton County, Washington |
448 |
8.2 |
1.6 |
(5.0--11.3) |
Chelan County, Washington |
541 |
7.2 |
1.3 |
(4.6--9.7) |
Clark County, Washington |
1,686 |
9.3 |
0.9 |
(7.5--11.0) |
Douglas County, Washington |
527 |
9.2 |
1.7 |
(5.8--12.5) |
King County, Washington |
4,410 |
7.9 |
0.5 |
(6.9--8.8) |
Kitsap County, Washington |
997 |
11.0 |
1.4 |
(8.2--13.7) |
Pierce County, Washington |
1,894 |
10.7 |
1.0 |
(8.7--12.6) |
Snohomish County, Washington |
2,729 |
9.2 |
0.8 |
(7.6--10.7) |
Spokane County, Washington |
1,370 |
10.6 |
1.1 |
(8.4--12.7) |
Thurston County, Washington |
1,867 |
9.4 |
0.8 |
(7.8--10.9) |
Whatcom County, Washington |
1,161 |
8.7 |
1.0 |
(6.7--10.6) |
Yakima County, Washington |
745 |
8.6 |
1.4 |
(5.8--11.3) |
Kanawha County, West Virginia |
505 |
6.3 |
1.1 |
(4.1--8.4) |
Milwaukee County, Wisconsin |
1,176 |
11.8 |
1.9 |
(8.0--15.5) |
Fremont County, Wyoming |
500 |
6.2 |
1.1 |
(4.0--8.3) |
Laramie County, Wyoming |
905 |
9.4 |
1.3 |
(6.8--11.9) |
Natrona County, Wyoming |
756 |
6.6 |
1.1 |
(4.4--8.7) |
Median |
8.0 |
|||
Range |
3.4--13.2 |
|||
* Defined as ever been told by a health professional that the respondent had asthma and reporting that they still have asthma. † Standard error. § Confidence interval. |
TABLE 65. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities because of physical, mental or emotional problems, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Gainesville, Florida |
1,055 |
20.3 |
2.6 |
(15.2--25.3) |
Grand Island, Nebraska |
558 |
17.9 |
1.9 |
(14.1--21.6) |
Grand Rapids-Wyoming, Michigan |
501 |
18.7 |
2.1 |
(14.5--22.8) |
Greeley, Colorado |
522 |
15.5 |
1.8 |
(11.9--19.0) |
Greensboro-High Point, North Carolina |
823 |
19.1 |
1.8 |
(15.5--22.6) |
Greenville, South Carolina |
875 |
19.8 |
1.6 |
(16.6--22.9) |
Gulfport-Biloxi, Mississippi |
497 |
22.4 |
2.1 |
(18.2--26.5) |
Hagerstown-Martinsburg, Maryland-West Virginia |
705 |
19.2 |
1.7 |
(15.8--22.5) |
Hartford-West Hartford-East Hartford, Connecticut |
2,331 |
16.1 |
0.9 |
(14.3--17.8) |
Hickory-Morganton-Lenoir, North Carolina |
855 |
24.3 |
2.0 |
(20.3--28.2) |
Hilo, Hawaii |
1,514 |
19.1 |
1.2 |
(16.7--21.4) |
Hilton Head Island-Beaufort, South Carolina |
929 |
18.1 |
1.7 |
(14.7--21.4) |
Homosassa Springs, Florida |
563 |
27.1 |
2.6 |
(22.0--32.1) |
Honolulu, Hawaii |
2,896 |
14.2 |
0.7 |
(12.8--15.5) |
Houston-Sugar Land-Baytown, Texas |
1,538 |
19.0 |
1.5 |
(16.0--21.9) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
585 |
32.3 |
2.7 |
(27.0--37.5) |
Idaho Falls, Idaho |
504 |
16.8 |
1.8 |
(13.2--20.3) |
Indianapolis-Carmel, Indiana |
1,553 |
17.5 |
1.2 |
(15.1--19.8) |
Jackson, Mississippi |
1,155 |
18.7 |
1.4 |
(15.9--21.4) |
Jacksonville, Florida |
3,898 |
18.3 |
0.8 |
(16.7--19.8) |
Kahului-Wailuku, Hawaii |
1,504 |
16.9 |
1.2 |
(14.5--19.2) |
Kalispell, Montana |
550 |
21.8 |
2.1 |
(17.6--25.9) |
Kansas City, Missouri-Kansas |
3,331 |
18.9 |
0.9 |
(17.1--20.6) |
Kapaa, Hawaii |
649 |
16.3 |
1.8 |
(12.7--19.8) |
Kennewick-Richland-Pasco, Washington |
679 |
17.9 |
1.7 |
(14.5--21.2) |
Key West-Marathon, Florida |
494 |
23.6 |
4.6 |
(14.5--32.6) |
Kingsport-Bristol, Tennessee-Virginia |
578 |
23.4 |
2.4 |
(18.6--28.1) |
Lake Charles, Louisiana |
528 |
19.3 |
2.1 |
(15.1--23.4) |
Lake City, Florida |
573 |
26.9 |
3.4 |
(20.2--33.5) |
Lakeland-Winter Haven, Florida |
509 |
19.7 |
2.0 |
(15.7--23.6) |
Laredo, Texas |
498 |
15.7 |
2.9 |
(10.0--21.3) |
Las Cruces, New Mexico |
701 |
18.9 |
1.8 |
(15.3--22.4) |
Las Vegas-Paradise, Nevada |
1,333 |
17.9 |
1.2 |
(15.5--20.2) |
Lebanon, New Hampshire-Vermont |
1,594 |
20.1 |
1.3 |
(17.5--22.6) |
Lewiston, Idaho-Washington |
518 |
27.6 |
2.4 |
(22.8--32.3) |
Lincoln, Nebraska |
706 |
17.0 |
2.2 |
(12.6--21.3) |
Little Rock-North Little Rock, Arkansas |
1,230 |
22.5 |
1.5 |
(19.5--25.4) |
Los Angeles-Long Beach-Glendale, California§ |
835 |
14.9 |
1.5 |
(11.9--17.8) |
Louisville, Kentucky-Indiana |
828 |
20.8 |
1.7 |
(17.4--24.1) |
Manchester-Nashua, New Hampshire |
1,417 |
18.6 |
1.1 |
(16.4--20.7) |
McAllen-Edinburg-Mission, Texas |
943 |
14.3 |
1.4 |
(11.5--17.0) |
Memphis, Tennessee-Mississippi-Arkansas |
975 |
16.3 |
1.6 |
(13.1--19.4) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,131 |
13.2 |
1.1 |
(11.0--15.3) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,480 |
14.5 |
1.5 |
(11.5--17.4) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,738 |
15.9 |
0.9 |
(14.1--17.6) |
Mobile, Alabama |
575 |
31.4 |
2.9 |
(25.7--37.0) |
Montgomery, Alabama |
513 |
18.7 |
2.2 |
(14.3--23.0) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
903 |
18.2 |
1.5 |
(15.2--21.1) |
Naples-Marco Island, Florida |
790 |
17.5 |
1.9 |
(13.7--21.2) |
Nashville-Davidson-Murfreesboro, Tennessee |
591 |
16.9 |
2.0 |
(12.9--20.8) |
Nassau-Suffolk, New York§ |
804 |
17.2 |
1.6 |
(14.0--20.3) |
Newark-Union, New Jersey-Pennsylvania§ |
1,968 |
15.9 |
1.2 |
(13.5--18.2) |
New Haven-Milford, Connecticut |
1,772 |
17.5 |
1.2 |
(15.1--19.8) |
New Orleans-Metairie-Kenner, Louisiana |
1,224 |
18.5 |
1.4 |
(15.7--21.2) |
New York-White Plains-Wayne, New York-New Jersey§ |
3,330 |
15.0 |
0.8 |
(13.4--16.5) |
Nogales, Arizona |
517 |
13.0 |
2.9 |
(7.3--18.6) |
Norwich-New London, Connecticut |
495 |
18.2 |
2.2 |
(13.8--22.5) |
Ocala, Florida |
614 |
22.2 |
2.1 |
(18.0--26.3) |
Ogden-Clearfield, Utah |
835 |
19.0 |
1.7 |
(15.6--22.3) |
Okeechobee, Florida |
704 |
21.4 |
2.3 |
(16.8--25.9) |
Oklahoma City, Oklahoma |
2,260 |
21.7 |
1.0 |
(19.7--23.6) |
Olympia, Washington |
1,863 |
23.8 |
1.2 |
(21.4--26.1) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,537 |
16.6 |
1.2 |
(14.2--18.9) |
Orlando-Kissimmee, Florida |
2,623 |
15.4 |
1.0 |
(13.4--17.3) |
TABLE 65. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities because of physical, mental or emotional problems, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE* |
95% CI† |
Palm Bay-Melbourne-Titusville, Florida |
545 |
24.3 |
2.2 |
(19.9--28.6) |
Palm Coast, Florida |
525 |
23.8 |
2.5 |
(18.9--28.7) |
Panama City-Lynn Haven, Florida |
532 |
19.2 |
2.1 |
(15.0--23.3) |
Pensacola-Ferry Pass-Brent, Florida |
1,003 |
19.8 |
1.5 |
(16.8--22.7) |
Philadelphia, Pennsylvania§ |
2,833 |
18.4 |
1.2 |
(16.0--20.7) |
Phoenix-Mesa-Scottsdale, Arizona |
1,267 |
17.0 |
1.4 |
(14.2--19.7) |
Pittsburgh, Pennsylvania |
2,912 |
18.2 |
1.2 |
(15.8--20.5) |
Portland-South Portland-Biddeford, Maine |
2,071 |
20.0 |
1.0 |
(18.0--21.9) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,931 |
22.1 |
0.9 |
(20.3--23.8) |
Port St. Lucie-Fort Pierce, Florida |
1,055 |
20.0 |
1.6 |
(16.8--23.1) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,050 |
19.3 |
0.7 |
(17.9--20.6) |
Provo-Orem, Utah |
578 |
16.3 |
2.0 |
(12.3--20.2) |
Raleigh-Cary, North Carolina |
1,082 |
16.3 |
1.6 |
(13.1--19.4) |
Rapid City, South Dakota |
968 |
20.2 |
1.5 |
(17.2--23.1) |
Reno-Sparks, Nevada |
1,372 |
17.6 |
1.1 |
(15.4--19.7) |
Richmond, Virginia |
854 |
17.7 |
1.7 |
(14.3--21.0) |
Riverside-San Bernardino-Ontario, California |
659 |
17.6 |
1.8 |
(14.0--21.1) |
Riverton, Wyoming |
496 |
19.8 |
1.9 |
(16.0--23.5) |
Rockingham County-Strafford County, New Hampshire§ |
1,600 |
20.5 |
1.2 |
(18.1--22.8) |
Rutland, Vermont |
677 |
18.5 |
1.6 |
(15.3--21.6) |
St. Louis, Missouri-Illinois |
1,544 |
18.6 |
1.3 |
(16.0--21.1) |
Salt Lake City, Utah |
2,118 |
16.1 |
0.9 |
(14.3--17.8) |
San Antonio, Texas |
1,406 |
19.1 |
1.2 |
(16.7--21.4) |
San Diego-Carlsbad-San Marcos, California |
500 |
17.0 |
1.9 |
(13.2--20.7) |
San Francisco-Oakland-Fremont, California |
758 |
14.8 |
1.4 |
(12.0--17.5) |
Santa Fe, New Mexico |
505 |
17.1 |
1.9 |
(13.3--20.8) |
Sarasota-Bradenton-Venice, Florida |
1,290 |
20.1 |
1.6 |
(16.9--23.2) |
Scranton-Wilkes-Barre, Pennsylvania |
2,473 |
22.3 |
1.8 |
(18.7--25.8) |
Seaford, Delaware |
1,234 |
23.0 |
1.5 |
(20.0--25.9) |
Seattle-Bellevue-Everett, Washington§ |
7,101 |
20.9 |
0.6 |
(19.7--22.0) |
Sebring, Florida |
748 |
21.3 |
2.1 |
(17.1--25.4) |
Sioux City, Iowa-Nebraska-South Dakota |
885 |
17.0 |
2.3 |
(12.4--21.5) |
Sioux Falls, South Dakota |
961 |
15.1 |
1.3 |
(12.5--17.6) |
Spokane, Washington |
1,360 |
23.4 |
1.4 |
(20.6--26.1) |
Springfield, Massachusetts |
2,558 |
18.8 |
1.1 |
(16.6--20.9) |
Tacoma, Washington§ |
1,881 |
25.1 |
1.3 |
(22.5--27.6) |
Tallahassee, Florida |
2,038 |
17.6 |
1.9 |
(13.8--21.3) |
Tampa-St. Petersburg-Clearwater, Florida |
2,121 |
21.3 |
1.2 |
(18.9--23.6) |
Toledo, Ohio |
975 |
22.3 |
1.9 |
(18.5--26.0) |
Topeka, Kansas |
781 |
19.7 |
1.6 |
(16.5--22.8) |
Tucson, Arizona |
736 |
19.1 |
1.7 |
(15.7--22.4) |
Tulsa, Oklahoma |
2,084 |
21.9 |
1.2 |
(19.5--24.2) |
Tuscaloosa, Alabama |
533 |
23.5 |
2.5 |
(18.6--28.4) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,146 |
16.6 |
1.4 |
(13.8--19.3) |
Warren-Troy-Farmington Hills, Michigan§ |
1,472 |
19.9 |
1.3 |
(17.3--22.4) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia§ |
6,696 |
13.4 |
0.8 |
(11.8--14.9) |
Wauchula, Florida |
678 |
17.2 |
3.2 |
(10.9--23.4) |
Wenatchee, Washington |
1,072 |
22.5 |
1.7 |
(19.1--25.8) |
West Palm Beach-Boca Raton-Boynton Beach, Florida§ |
527 |
14.5 |
1.9 |
(10.7--18.2) |
Wichita, Kansas |
1,552 |
20.8 |
1.2 |
(18.4--23.1) |
Wilmington, Delaware-Maryland-New Jersey§ |
1,760 |
21.1 |
1.5 |
(18.1--24.0) |
Wilmington, North Carolina |
609 |
23.4 |
2.2 |
(19.0--27.7) |
Worcester, Massachusetts |
2,704 |
18.1 |
1.0 |
(16.1--20.0) |
Yakima, Washington |
751 |
22.4 |
2.0 |
(18.4--26.3) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,030 |
23.7 |
2.5 |
(18.8--28.6) |
Yuma, Arizona |
549 |
20.0 |
2.0 |
(16.0--23.9) |
Median |
18.7 |
|||
Range |
13.0--32.3 |
|||
* Standard error. † Confidence interval. § Metropolitan division. |
TABLE 66. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities because of physical, mental or emotional problems, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Marion County, Florida |
614 |
22.2 |
2.1 |
(18.0--26.3) |
Martin County, Florida |
532 |
17.5 |
1.8 |
(13.9--21.0) |
Miami-Dade County, Florida |
590 |
13.3 |
1.5 |
(10.3--16.2) |
Monroe County, Florida |
494 |
23.6 |
4.6 |
(14.5--32.6) |
Nassau County, Florida |
539 |
16.9 |
1.8 |
(13.3--20.4) |
Okeechobee County, Florida |
704 |
21.4 |
2.3 |
(16.8--25.9) |
Orange County, Florida |
802 |
14.3 |
1.7 |
(10.9--17.6) |
Osceola County, Florida |
698 |
18.8 |
1.9 |
(15.0--22.5) |
Palm Beach County, Florida |
527 |
14.5 |
1.9 |
(10.7--18.2) |
Pasco County, Florida |
541 |
24.9 |
2.4 |
(20.1--29.6) |
Pinellas County, Florida |
525 |
20.9 |
2.1 |
(16.7--25.0) |
Polk County, Florida |
509 |
19.7 |
2.0 |
(15.7--23.6) |
St. Johns County, Florida |
547 |
16.5 |
1.8 |
(12.9--20.0) |
St. Lucie County, Florida |
523 |
21.2 |
2.3 |
(16.6--25.7) |
Santa Rosa County, Florida |
488 |
15.0 |
1.7 |
(11.6--18.3) |
Sarasota County, Florida |
801 |
16.8 |
1.8 |
(13.2--20.3) |
Seminole County, Florida |
523 |
14.6 |
1.7 |
(11.2--17.9) |
Volusia County, Florida |
499 |
21.9 |
2.3 |
(17.3--26.4) |
Wakulla County, Florida |
540 |
26.8 |
4.1 |
(18.7--34.8) |
Clayton County, Georgia |
334 |
14.1 |
2.3 |
(9.5--18.6) |
Cobb County, Georgia |
404 |
14.5 |
2.0 |
(10.5--18.4) |
DeKalb County, Georgia |
421 |
16.6 |
2.4 |
(11.8--21.3) |
Fulton County, Georgia |
404 |
14.1 |
2.4 |
(9.3--18.8) |
Gwinnett County, Georgia |
315 |
17.2 |
2.6 |
(12.1--22.2) |
Hawaii County, Hawaii |
1,514 |
19.1 |
1.2 |
(16.7--21.4) |
Honolulu County, Hawaii |
2,896 |
14.2 |
0.7 |
(12.8--15.5) |
Kauai County, Hawaii |
649 |
16.3 |
1.8 |
(12.7--19.8) |
Maui County, Hawaii |
1,504 |
16.9 |
1.2 |
(14.5--19.2) |
Ada County, Idaho |
634 |
18.2 |
1.9 |
(14.4--21.9) |
Bonneville County, Idaho |
389 |
16.3 |
1.9 |
(12.5--20.0) |
Canyon County, Idaho |
480 |
19.8 |
2.0 |
(15.8--23.7) |
Nez Perce County, Idaho |
273 |
24.5 |
3.0 |
(18.6--30.3) |
Cook County, Illinois |
1,640 |
17.2 |
1.1 |
(15.0--19.3) |
DuPage County, Illinois |
378 |
9.4 |
1.7 |
(6.0--12.7) |
Lake County, Illinois |
292 |
18.0 |
2.6 |
(12.9--23.0) |
Lake County, Indiana |
564 |
19.3 |
2.8 |
(13.8--24.7) |
Marion County, Indiana |
1,105 |
20.6 |
1.6 |
(17.4--23.7) |
Polk County, Iowa |
723 |
17.8 |
1.6 |
(14.6--20.9) |
Johnson County, Kansas |
1,537 |
15.3 |
1.0 |
(13.3--17.2) |
Sedgwick County, Kansas |
1,167 |
21.0 |
1.4 |
(18.2--23.7) |
Shawnee County, Kansas |
549 |
17.1 |
1.8 |
(13.5--20.6) |
Wyandotte County, Kansas |
347 |
17.4 |
2.1 |
(13.2--21.5) |
Jefferson County, Kentucky |
450 |
19.0 |
2.1 |
(14.8--23.1) |
Calcasieu Parish, Louisiana |
508 |
19.7 |
2.1 |
(15.5--23.8) |
East Baton Rouge Parish, Louisiana |
496 |
13.7 |
1.7 |
(10.3--17.0) |
Jefferson Parish, Louisiana |
416 |
21.8 |
2.4 |
(17.0--26.5) |
Orleans Parish, Louisiana |
292 |
14.8 |
2.4 |
(10.0--19.5) |
St. Tammany Parish, Louisiana |
329 |
17.4 |
2.8 |
(11.9--22.8) |
Cumberland County, Maine |
1,073 |
17.8 |
1.3 |
(15.2--20.3) |
Kennebec County, Maine |
541 |
27.3 |
2.3 |
(22.7--31.8) |
Penobscot County, Maine |
652 |
19.9 |
1.8 |
(16.3--23.4) |
Sagadahoc County, Maine |
278 |
23.8 |
2.8 |
(18.3--29.2) |
York County, Maine |
720 |
22.3 |
1.8 |
(18.7--25.8) |
Anne Arundel County, Maryland |
546 |
20.6 |
2.1 |
(16.4--24.7) |
Baltimore County, Maryland |
969 |
19.2 |
1.5 |
(16.2--22.1) |
Charles County, Maryland |
294 |
15.3 |
2.2 |
(10.9--19.6) |
Frederick County, Maryland |
537 |
18.5 |
1.9 |
(14.7--22.2) |
Harford County, Maryland |
300 |
15.8 |
2.2 |
(11.4--20.1) |
Howard County, Maryland |
335 |
14.7 |
2.1 |
(10.5--18.8) |
Montgomery County, Maryland |
1,083 |
14.8 |
1.3 |
(12.2--17.3) |
Prince George´s County, Maryland |
642 |
16.7 |
1.9 |
(12.9--20.4) |
Queen Anne´s County, Maryland |
251 |
19.2 |
2.9 |
(13.5--24.8) |
Washington County, Maryland |
438 |
19.1 |
2.1 |
(14.9--23.2) |
TABLE 66. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities because of physical, mental or emotional problems, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Baltimore City, Maryland |
488 |
20.1 |
2.1 |
(15.9--24.2) |
Barnstable County, Massachusetts |
570 |
18.5 |
2.0 |
(14.5--22.4) |
Bristol County, Massachusetts |
3,609 |
18.5 |
1.2 |
(16.1--20.8) |
Essex County, Massachusetts |
2,924 |
16.4 |
1.1 |
(14.2--18.5) |
Hampden County, Massachusetts |
1,987 |
19.6 |
1.3 |
(17.0--22.1) |
Hampshire County, Massachusetts |
365 |
14.6 |
2.1 |
(10.4--18.7) |
Middlesex County, Massachusetts |
3,897 |
17.2 |
0.9 |
(15.4--18.9) |
Norfolk County, Massachusetts |
1,243 |
17.9 |
1.3 |
(15.3--20.4) |
Plymouth County, Massachusetts |
830 |
17.7 |
1.7 |
(14.3--21.0) |
Suffolk County, Massachusetts |
2,356 |
16.3 |
1.1 |
(14.1--18.4) |
Worcester County, Massachusetts |
2,704 |
18.1 |
1.0 |
(16.1--20.0) |
Kent County, Michigan |
375 |
17.6 |
2.4 |
(12.8--22.3) |
Macomb County, Michigan |
398 |
16.2 |
1.9 |
(12.4--19.9) |
Oakland County, Michigan |
775 |
19.8 |
1.9 |
(16.0--23.5) |
Wayne County, Michigan |
1,621 |
22.3 |
1.4 |
(19.5--25.0) |
Anoka County, Minnesota |
270 |
14.1 |
2.3 |
(9.5--18.6) |
Dakota County, Minnesota |
348 |
16.3 |
2.2 |
(11.9--20.6) |
Hennepin County, Minnesota |
941 |
17.0 |
1.9 |
(13.2--20.7) |
Ramsey County, Minnesota |
413 |
15.9 |
2.0 |
(11.9--19.8) |
DeSoto County, Mississippi |
258 |
19.3 |
2.8 |
(13.8--24.7) |
Harrison County, Mississippi |
378 |
21.7 |
2.4 |
(16.9--26.4) |
Hinds County, Mississippi |
518 |
20.9 |
2.2 |
(16.5--25.2) |
Rankin County, Mississippi |
297 |
16.9 |
2.3 |
(12.3--21.4) |
Jackson County, Missouri |
488 |
22.7 |
2.1 |
(18.5--26.8) |
St. Louis County, Missouri |
449 |
16.9 |
2.2 |
(12.5--21.2) |
St. Louis City, Missouri |
461 |
18.7 |
2.3 |
(14.1--23.2) |
Flathead County, Montana |
550 |
21.8 |
2.1 |
(17.6--25.9) |
Yellowstone County, Montana |
443 |
22.0 |
2.3 |
(17.4--26.5) |
Dakota County, Nebraska |
480 |
14.1 |
1.8 |
(10.5--17.6) |
Douglas County, Nebraska |
596 |
15.7 |
1.7 |
(12.3--19.0) |
Hall County, Nebraska |
374 |
17.2 |
2.0 |
(13.2--21.1) |
Lancaster County, Nebraska |
545 |
17.2 |
2.3 |
(12.6--21.7) |
Sarpy County, Nebraska |
381 |
16.0 |
2.6 |
(10.9--21.0) |
Clark County, Nevada |
1,333 |
17.9 |
1.2 |
(15.5--20.2) |
Washoe County, Nevada |
1,350 |
17.7 |
1.2 |
(15.3--20.0) |
Grafton County, New Hampshire |
505 |
20.2 |
2.3 |
(15.6--24.7) |
Hillsborough County, New Hampshire |
1,417 |
18.6 |
1.1 |
(16.4--20.7) |
Merrimack County, New Hampshire |
641 |
15.6 |
1.5 |
(12.6--18.5) |
Rockingham County, New Hampshire |
986 |
18.8 |
1.4 |
(16.0--21.5) |
Strafford County, New Hampshire |
614 |
25.0 |
2.2 |
(20.6--29.3) |
Bergen County, New Jersey |
377 |
16.2 |
2.8 |
(10.7--21.6) |
Burlington County, New Jersey |
339 |
19.1 |
2.8 |
(13.6--24.5) |
Camden County, New Jersey |
316 |
22.4 |
2.9 |
(16.7--28.0) |
Essex County, New Jersey |
523 |
19.5 |
2.5 |
(14.6--24.4) |
Gloucester County, New Jersey |
331 |
20.9 |
2.8 |
(15.4--26.3) |
Hudson County, New Jersey |
567 |
15.8 |
2.2 |
(11.4--20.1) |
Hunterdon County, New Jersey |
358 |
16.4 |
2.8 |
(10.9--21.8) |
Middlesex County, New Jersey |
379 |
13.5 |
1.9 |
(9.7--17.2) |
Monmouth County, New Jersey |
322 |
13.2 |
2.0 |
(9.2--17.1) |
Morris County, New Jersey |
416 |
12.8 |
1.9 |
(9.0--16.5) |
Ocean County, New Jersey |
327 |
21.7 |
2.7 |
(16.4--26.9) |
Passaic County, New Jersey |
277 |
13.2 |
2.2 |
(8.8--17.5) |
Somerset County, New Jersey |
358 |
13.6 |
2.0 |
(9.6--17.5) |
Sussex County, New Jersey |
333 |
12.9 |
1.9 |
(9.1--16.6) |
Union County, New Jersey |
305 |
13.3 |
2.2 |
(8.9--17.6) |
Warren County, New Jersey |
303 |
20.8 |
2.9 |
(15.1--26.4) |
Bernalillo County, New Mexico |
1,075 |
19.7 |
1.4 |
(16.9--22.4) |
Dona Ana County, New Mexico |
701 |
18.9 |
1.6 |
(15.7--22.0) |
Sandoval County, New Mexico |
504 |
16.9 |
2.0 |
(12.9--20.8) |
San Juan County, New Mexico |
672 |
23.8 |
2.2 |
(19.4--28.1) |
Santa Fe County, New Mexico |
505 |
17.1 |
1.9 |
(13.3--20.8) |
Valencia County, New Mexico |
310 |
19.4 |
2.8 |
(13.9--24.8) |
Erie County, New York |
398 |
21.0 |
2.4 |
(16.2--25.7) |
TABLE 66. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities because of physical, mental or emotional problems, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Kings County, New York |
403 |
16.6 |
2.0 |
(12.6--20.5) |
Nassau County, New York |
373 |
14.7 |
2.0 |
(10.7--18.6) |
New York County, New York |
553 |
15.2 |
1.7 |
(11.8--18.5) |
Queens County, New York |
421 |
17.0 |
1.9 |
(13.2--20.7) |
Suffolk County, New York |
431 |
19.9 |
2.4 |
(15.1--24.6) |
Westchester County, New York |
273 |
10.1 |
1.8 |
(6.5--13.6) |
Buncombe County, North Carolina |
351 |
22.0 |
2.5 |
(17.1--26.9) |
Cabarrus County, North Carolina |
352 |
18.0 |
2.3 |
(13.4--22.5) |
Catawba County, North Carolina |
404 |
20.9 |
2.6 |
(15.8--25.9) |
Cumberland County, North Carolina |
375 |
23.0 |
3.0 |
(17.1--28.8) |
Durham County, North Carolina |
327 |
15.9 |
2.5 |
(11.0--20.8) |
Gaston County, North Carolina |
389 |
24.8 |
2.7 |
(19.5--30.0) |
Guilford County, North Carolina |
383 |
16.5 |
2.2 |
(12.1--20.8) |
Henderson County, North Carolina |
293 |
28.7 |
3.4 |
(22.0--35.3) |
Johnston County, North Carolina |
436 |
20.4 |
2.3 |
(15.8--24.9) |
Mecklenburg County, North Carolina |
674 |
14.4 |
1.5 |
(11.4--17.3) |
New Hanover County, North Carolina |
388 |
22.9 |
2.8 |
(17.4--28.3) |
Orange County, North Carolina |
346 |
14.8 |
2.0 |
(10.8--18.7) |
Randolph County, North Carolina |
371 |
20.4 |
2.5 |
(15.5--25.3) |
Union County, North Carolina |
374 |
12.6 |
1.9 |
(8.8--16.3) |
Wake County, North Carolina |
600 |
15.4 |
1.8 |
(11.8--18.9) |
Burleigh County, North Dakota |
493 |
14.2 |
1.6 |
(11.0--17.3) |
Cass County, North Dakota |
669 |
13.4 |
1.5 |
(10.4--16.3) |
Cuyahoga County, Ohio |
761 |
20.7 |
1.7 |
(17.3--24.0) |
Franklin County, Ohio |
749 |
20.1 |
1.8 |
(16.5--23.6) |
Hamilton County, Ohio |
814 |
18.8 |
1.5 |
(15.8--21.7) |
Licking County, Ohio |
250 |
24.5 |
3.1 |
(18.4--30.5) |
Lucas County, Ohio |
772 |
22.0 |
1.7 |
(18.6--25.3) |
Mahoning County, Ohio |
808 |
18.6 |
1.7 |
(15.2--21.9) |
Montgomery County, Ohio |
734 |
25.6 |
2.2 |
(21.2--29.9) |
Stark County, Ohio |
783 |
20.7 |
1.9 |
(16.9--24.4) |
Summit County, Ohio |
741 |
18.4 |
1.6 |
(15.2--21.5) |
Canadian County, Oklahoma |
244 |
22.1 |
3.1 |
(16.0--28.1) |
Cleveland County, Oklahoma |
410 |
20.3 |
2.1 |
(16.1--24.4) |
Oklahoma County, Oklahoma |
1,270 |
20.6 |
1.3 |
(18.0--23.1) |
Tulsa County, Oklahoma |
1,498 |
20.4 |
1.2 |
(18.0--22.7) |
Clackamas County, Oregon |
480 |
18.9 |
2.0 |
(14.9--22.8) |
Multnomah County, Oregon |
809 |
24.1 |
1.8 |
(20.5--27.6) |
Washington County, Oregon |
551 |
21.2 |
2.1 |
(17.0--25.3) |
Allegheny County, Pennsylvania |
630 |
18.3 |
1.7 |
(14.9--21.6) |
Delaware County, Pennsylvania |
272 |
18.7 |
2.8 |
(13.2--24.1) |
Fayette County, Pennsylvania |
1,605 |
26.3 |
2.3 |
(21.7--30.8) |
Luzerne County, Pennsylvania |
2,284 |
23.0 |
1.6 |
(19.8--26.1) |
Montgomery County, Pennsylvania |
334 |
16.8 |
2.5 |
(11.9--21.7) |
Philadelphia County, Pennsylvania |
1,788 |
19.7 |
1.9 |
(15.9--23.4) |
Westmoreland County, Pennsylvania |
289 |
17.5 |
3.0 |
(11.6--23.3) |
Kent County, Rhode Island |
648 |
21.3 |
2.0 |
(17.3--25.2) |
Newport County, Rhode Island |
359 |
18.4 |
2.7 |
(13.1--23.6) |
Providence County, Rhode Island |
2,712 |
19.5 |
1.0 |
(17.5--21.4) |
Washington County, Rhode Island |
512 |
19.0 |
2.8 |
(13.5--24.4) |
Aiken County, South Carolina |
676 |
19.3 |
1.7 |
(15.9--22.6) |
Beaufort County, South Carolina |
838 |
18.4 |
1.8 |
(14.8--21.9) |
Berkeley County, South Carolina |
318 |
21.6 |
2.5 |
(16.7--26.5) |
Charleston County, South Carolina |
677 |
16.9 |
1.9 |
(13.1--20.6) |
Dorchester County, South Carolina |
251 |
17.3 |
2.6 |
(12.2--22.3) |
Greenville County, South Carolina |
550 |
19.8 |
2.0 |
(15.8--23.7) |
Horry County, South Carolina |
903 |
18.2 |
1.5 |
(15.2--21.1) |
Lexington County, South Carolina |
325 |
17.7 |
2.3 |
(13.1--22.2) |
Richland County, South Carolina |
434 |
18.5 |
2.1 |
(14.3--22.6) |
York County, South Carolina |
281 |
16.8 |
2.4 |
(12.0--21.5) |
Minnehaha County, South Dakota |
714 |
15.8 |
1.5 |
(12.8--18.7) |
Pennington County, South Dakota |
759 |
18.9 |
1.6 |
(15.7--22.0) |
Davidson County, Tennessee |
275 |
13.5 |
2.0 |
(9.5--17.4) |
TABLE 66. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities because of physical, mental or emotional problems, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE* |
95% CI† |
Hamilton County, Tennessee |
671 |
18.4 |
1.7 |
(15.0--21.7) |
Shelby County, Tennessee |
294 |
15.9 |
2.5 |
(11.0--20.8) |
Sullivan County, Tennessee |
412 |
23.7 |
2.6 |
(18.6--28.7) |
Bexar County, Texas |
1,049 |
19.1 |
1.4 |
(16.3--21.8) |
Cameron County, Texas |
614 |
17.6 |
1.8 |
(14.0--21.1) |
Collin County, Texas |
255 |
15.9 |
2.7 |
(10.6--21.1) |
Dallas County, Texas |
837 |
14.6 |
1.6 |
(11.4--17.7) |
Denton County, Texas |
254 |
12.4 |
2.6 |
(7.3--17.4) |
El Paso County, Texas |
1,483 |
16.2 |
1.1 |
(14.0--18.3) |
Harris County, Texas |
959 |
17.5 |
1.5 |
(14.5--20.4) |
Hidalgo County, Texas |
943 |
14.3 |
1.4 |
(11.5--17.0) |
Tarrant County, Texas |
1,135 |
14.7 |
1.1 |
(12.5--16.8) |
Travis County, Texas |
776 |
12.9 |
1.4 |
(10.1--15.6) |
Webb County, Texas |
498 |
15.7 |
2.9 |
(10.0--21.3) |
Williamson County, Texas |
357 |
15.8 |
2.3 |
(11.2--20.3) |
Davis County, Utah |
416 |
16.4 |
2.1 |
(12.2--20.5) |
Salt Lake County, Utah |
1,632 |
16.1 |
1.0 |
(14.1--18.0) |
Tooele County, Utah |
248 |
17.9 |
2.6 |
(12.8--22.9) |
Utah County, Utah |
545 |
16.5 |
2.1 |
(12.3--20.6) |
Weber County, Utah |
401 |
22.3 |
2.4 |
(17.5--27.0) |
Chittenden County, Vermont |
1,412 |
15.0 |
1.0 |
(13.0--16.9) |
Franklin County, Vermont |
462 |
17.8 |
2.1 |
(13.6--21.9) |
Orange County, Vermont |
370 |
20.8 |
2.4 |
(16.0--25.5) |
Rutland County, Vermont |
677 |
18.5 |
1.6 |
(15.3--21.6) |
Washington County, Vermont |
691 |
19.3 |
1.7 |
(15.9--22.6) |
Windsor County, Vermont |
719 |
20.2 |
1.8 |
(16.6--23.7) |
Arlington County, Virginia |
295 |
13.0 |
2.4 |
(8.2--17.7) |
Fairfax County, Virginia |
248 |
11.8 |
2.5 |
(6.9--16.7) |
Prince William County, Virginia |
279 |
15.1 |
3.7 |
(7.8--22.3) |
Alexandria city, Virginia |
258 |
10.0 |
2.5 |
(5.1--14.9) |
Benton County, Washington |
449 |
18.7 |
2.1 |
(14.5--22.8) |
Chelan County, Washington |
542 |
23.0 |
2.2 |
(18.6--27.3) |
Clark County, Washington |
1,683 |
21.8 |
1.2 |
(19.4--24.1) |
Douglas County, Washington |
530 |
21.5 |
2.4 |
(16.7--26.2) |
King County, Washington |
4,380 |
19.9 |
0.7 |
(18.5--21.2) |
Kitsap County, Washington |
998 |
26.2 |
1.8 |
(22.6--29.7) |
Pierce County, Washington |
1,881 |
24.9 |
1.3 |
(22.3--27.4) |
Snohomish County, Washington |
2,721 |
24.5 |
1.0 |
(22.5--26.4) |
Spokane County, Washington |
1,360 |
23.4 |
1.4 |
(20.6--26.1) |
Thurston County, Washington |
1,863 |
23.8 |
1.2 |
(21.4--26.1) |
Whatcom County, Washington |
1,152 |
19.4 |
1.3 |
(16.8--21.9) |
Yakima County, Washington |
751 |
22.4 |
2.0 |
(18.4--26.3) |
Kanawha County, West Virginia |
507 |
21.4 |
2.0 |
(17.4--25.3) |
Milwaukee County, Wisconsin |
1,139 |
16.1 |
1.8 |
(12.5--19.6) |
Fremont County, Wyoming |
496 |
19.8 |
1.9 |
(16.0--23.5) |
Laramie County, Wyoming |
899 |
19.5 |
1.5 |
(16.5--22.4) |
Natrona County, Wyoming |
747 |
21.5 |
1.9 |
(17.7--25.2) |
Median |
18.3 |
|||
Range |
9.4--31.4 |
|||
* Standard error. † Confidence interval. § Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width was >10. |
TABLE 68. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly required to use special equipment* because of any health problem, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Gainesville, Florida |
1,056 |
5.8 |
1.0 |
(3.8--7.7) |
Grand Island, Nebraska |
560 |
4.8 |
0.9 |
(3.0--6.5) |
Grand Rapids-Wyoming, Michigan |
503 |
5.3 |
1.0 |
(3.3--7.2) |
Greeley, Colorado |
524 |
3.9 |
0.8 |
(2.3--5.4) |
Greensboro-High Point, North Carolina |
826 |
7.4 |
1.1 |
(5.2--9.5) |
Greenville, South Carolina |
879 |
7.0 |
0.8 |
(5.4--8.5) |
Gulfport-Biloxi, Mississippi |
499 |
9.0 |
1.6 |
(5.8--12.1) |
Hagerstown-Martinsburg, Maryland-West Virginia |
706 |
6.5 |
1.0 |
(4.5--8.4) |
Hartford-West Hartford-East Hartford, Connecticut |
2,339 |
5.6 |
0.5 |
(4.6--6.5) |
Hickory-Morganton-Lenoir, North Carolina |
861 |
8.4 |
1.0 |
(6.4--10.3) |
Hilo, Hawaii |
1,516 |
4.8 |
0.6 |
(3.6--5.9) |
Hilton Head Island-Beaufort, South Carolina |
933 |
5.6 |
0.7 |
(4.2--6.9) |
Homosassa Springs, Florida |
567 |
10.8 |
1.5 |
(7.8--13.7) |
Honolulu, Hawaii |
2,895 |
5.5 |
0.5 |
(4.5--6.4) |
Houston-Sugar Land-Baytown, Texas |
1,538 |
6.1 |
1.1 |
(3.9--8.2) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
584 |
11.5 |
1.5 |
(8.5--14.4) |
Idaho Falls, Idaho |
503 |
6.9 |
1.1 |
(4.7--9.0) |
Indianapolis-Carmel, Indiana |
1,554 |
5.7 |
0.6 |
(4.5--6.8) |
Jackson, Mississippi |
1,157 |
8.5 |
0.9 |
(6.7--10.2) |
Jacksonville, Florida |
3,896 |
6.9 |
0.5 |
(5.9--7.8) |
Kahului-Wailuku, Hawaii |
1,507 |
5.6 |
0.7 |
(4.2--6.9) |
Kalispell, Montana |
553 |
8.0 |
1.3 |
(5.4--10.5) |
Kansas City, Missouri-Kansas |
3,335 |
6.1 |
0.5 |
(5.1--7.0) |
Kapaa, Hawaii |
647 |
3.3 |
0.7 |
(1.9--4.6) |
Kennewick-Richland-Pasco, Washington |
679 |
3.7 |
0.6 |
(2.5--4.8) |
Key West-Marathon, Florida |
495 |
11.6 |
5.0 |
(1.8--21.4) |
Kingsport-Bristol, Tennessee-Virginia |
580 |
10.7 |
1.7 |
(7.3--14.0) |
Lake Charles, Louisiana |
529 |
6.9 |
1.2 |
(4.5--9.2) |
Lake City, Florida |
577 |
10.1 |
1.9 |
(6.3--13.8) |
Lakeland-Winter Haven, Florida |
512 |
7.8 |
1.3 |
(5.2--10.3) |
Laredo, Texas |
499 |
8.1 |
2.3 |
(3.5--12.6) |
Las Cruces, New Mexico |
706 |
6.0 |
0.9 |
(4.2--7.7) |
Las Vegas-Paradise, Nevada |
1,342 |
5.8 |
0.6 |
(4.6--6.9) |
Lebanon, New Hampshire-Vermont |
1,600 |
5.7 |
0.6 |
(4.5--6.8) |
Lewiston, Idaho-Washington |
516 |
11.4 |
1.6 |
(8.2--14.5) |
Lincoln, Nebraska |
705 |
5.4 |
1.5 |
(2.4--8.3) |
Little Rock-North Little Rock, Arkansas |
1,230 |
6.2 |
0.7 |
(4.8--7.5) |
Los Angeles-Long Beach-Glendale, California¶ |
833 |
5.3 |
0.9 |
(3.5--7.0) |
Louisville, Kentucky-Indiana |
827 |
7.8 |
1.0 |
(5.8--9.7) |
Manchester-Nashua, New Hampshire |
1,422 |
6.3 |
0.7 |
(4.9--7.6) |
McAllen-Edinburg-Mission, Texas |
946 |
6.6 |
0.8 |
(5.0--8.1) |
Memphis, Tennessee-Mississippi-Arkansas |
976 |
6.8 |
1.1 |
(4.6--8.9) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,135 |
5.7 |
0.8 |
(4.1--7.2) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,481 |
5.0 |
0.8 |
(3.4--6.5) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,740 |
6.7 |
0.5 |
(5.7--7.6) |
Mobile, Alabama |
575 |
14.4 |
2.0 |
(10.4--18.3) |
Montgomery, Alabama |
515 |
10.6 |
1.7 |
(7.2--13.9) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
905 |
5.0 |
0.7 |
(3.6--6.3) |
Naples-Marco Island, Florida |
792 |
7.5 |
1.2 |
(5.1--9.8) |
Nashville-Davidson-Murfreesboro, Tennessee |
592 |
4.8 |
1.0 |
(2.8--6.7) |
Nassau-Suffolk, New York¶ |
804 |
5.5 |
0.8 |
(3.9--7.0) |
Newark-Union, New Jersey-Pennsylvania¶ |
1,972 |
6.9 |
0.8 |
(5.3--8.4) |
New Haven-Milford, Connecticut |
1,772 |
6.6 |
0.7 |
(5.2--7.9) |
New Orleans-Metairie-Kenner, Louisiana |
1,223 |
6.0 |
0.8 |
(4.4--7.5) |
New York-White Plains-Wayne, New York-New Jersey¶ |
3,336 |
6.2 |
0.5 |
(5.2--7.1) |
Nogales, Arizona |
519 |
5.2 |
1.7 |
(1.8--8.5) |
Norwich-New London, Connecticut |
495 |
5.2 |
1.1 |
(3.0--7.3) |
Ocala, Florida |
616 |
7.9 |
1.2 |
(5.5--10.2) |
Ogden-Clearfield, Utah |
840 |
4.6 |
0.8 |
(3.0--6.1) |
Okeechobee, Florida |
708 |
8.2 |
1.2 |
(5.8--10.5) |
Oklahoma City, Oklahoma |
2,267 |
7.5 |
0.6 |
(6.3--8.6) |
Olympia, Washington |
1,867 |
6.1 |
0.6 |
(4.9--7.2) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,542 |
4.9 |
0.6 |
(3.7--6.0) |
Orlando-Kissimmee, Florida |
2,634 |
6.4 |
0.6 |
(5.2--7.5) |
TABLE 68. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly required to use special equipment* because of any health problem, by metropolitan and micropolitan statistical area (MMSA) --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
MMSA(s) |
Sample size |
% |
SE† |
95% CI§ |
Palm Bay-Melbourne-Titusville, Florida |
545 |
9.1 |
1.4 |
(6.3--11.8) |
Palm Coast, Florida |
526 |
6.3 |
1.1 |
(4.1--8.4) |
Panama City-Lynn Haven, Florida |
535 |
5.5 |
1.0 |
(3.5--7.4) |
Pensacola-Ferry Pass-Brent, Florida |
1,006 |
7.8 |
0.9 |
(6.0--9.5) |
Philadelphia, Pennsylvania¶ |
2,841 |
7.0 |
0.7 |
(5.6--8.3) |
Phoenix-Mesa-Scottsdale, Arizona |
1,269 |
5.2 |
0.7 |
(3.8--6.5) |
Pittsburgh, Pennsylvania |
2,925 |
7.9 |
0.9 |
(6.1--9.6) |
Portland-South Portland-Biddeford, Maine |
2,076 |
6.3 |
0.6 |
(5.1--7.4) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,944 |
6.3 |
0.4 |
(5.5--7.0) |
Port St. Lucie-Fort Pierce, Florida |
1,054 |
6.3 |
0.8 |
(4.7--7.8) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,062 |
7.2 |
0.4 |
(6.4--7.9) |
Provo-Orem, Utah |
581 |
4.8 |
0.9 |
(3.0--6.5) |
Raleigh-Cary, North Carolina |
1,087 |
4.8 |
0.7 |
(3.4--6.1) |
Rapid City, South Dakota |
970 |
6.0 |
0.8 |
(4.4--7.5) |
Reno-Sparks, Nevada |
1,377 |
5.2 |
0.6 |
(4.0--6.3) |
Richmond, Virginia |
856 |
6.3 |
0.9 |
(4.5--8.0) |
Riverside-San Bernardino-Ontario, California |
656 |
5.2 |
0.9 |
(3.4--6.9) |
Riverton, Wyoming |
499 |
8.2 |
1.2 |
(5.8--10.5) |
Rockingham County-Strafford County, New Hampshire¶ |
1,601 |
6.8 |
0.7 |
(5.4--8.1) |
Rutland, Vermont |
678 |
5.5 |
0.9 |
(3.7--7.2) |
St. Louis, Missouri-Illinois |
1,541 |
8.1 |
1.0 |
(6.1--10.0) |
Salt Lake City, Utah |
2,129 |
4.4 |
0.5 |
(3.4--5.3) |
San Antonio, Texas |
1,413 |
7.6 |
0.7 |
(6.2--8.9) |
San Diego-Carlsbad-San Marcos, California |
499 |
5.6 |
1.0 |
(3.6--7.5) |
San Francisco-Oakland-Fremont, California |
757 |
5.5 |
0.8 |
(3.9--7.0) |
Santa Fe, New Mexico |
502 |
5.4 |
0.9 |
(3.6--7.1) |
Sarasota-Bradenton-Venice, Florida |
1,296 |
7.1 |
0.9 |
(5.3--8.8) |
Scranton-Wilkes-Barre, Pennsylvania |
2,485 |
9.2 |
1.3 |
(6.6--11.7) |
Seaford, Delaware |
1,233 |
8.3 |
0.8 |
(6.7--9.8) |
Seattle-Bellevue-Everett, Washington¶ |
7,131 |
5.9 |
0.3 |
(5.3--6.4) |
Sebring, Florida |
751 |
9.7 |
1.4 |
(6.9--12.4) |
Sioux City, Iowa-Nebraska-South Dakota |
885 |
7.9 |
1.8 |
(4.3--11.4) |
Sioux Falls, South Dakota |
964 |
4.8 |
0.6 |
(3.6--5.9) |
Spokane, Washington |
1,365 |
6.5 |
0.6 |
(5.3--7.6) |
Springfield, Massachusetts |
2,560 |
7.8 |
0.7 |
(6.4--9.1) |
Tacoma, Washington¶ |
1,888 |
8.5 |
0.8 |
(6.9--10.0) |
Tallahassee, Florida |
2,042 |
6.0 |
0.8 |
(4.4--7.5) |
Tampa-St. Petersburg-Clearwater, Florida |
2,132 |
9.0 |
0.8 |
(7.4--10.5) |
Toledo, Ohio |
982 |
6.9 |
0.8 |
(5.3--8.4) |
Topeka, Kansas |
780 |
8.1 |
1.1 |
(5.9--10.2) |
Tucson, Arizona |
740 |
7.2 |
1.0 |
(5.2--9.1) |
Tulsa, Oklahoma |
2,085 |
7.7 |
0.7 |
(6.3--9.0) |
Tuscaloosa, Alabama |
533 |
10.6 |
1.6 |
(7.4--13.7) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,143 |
6.3 |
0.8 |
(4.7--7.8) |
Warren-Troy-Farmington Hills, Michigan¶ |
1,477 |
6.1 |
0.7 |
(4.7--7.4) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia¶ |
6,713 |
5.6 |
0.5 |
(4.6--6.5) |
Wauchula, Florida |
680 |
7.8 |
1.6 |
(4.6--10.9) |
Wenatchee, Washington |
1,073 |
6.6 |
0.9 |
(4.8--8.3) |
West Palm Beach-Boca Raton-Boynton Beach, Florida¶ |
528 |
5.9 |
1.2 |
(3.5--8.2) |
Wichita, Kansas |
1,553 |
6.8 |
0.7 |
(5.4--8.1) |
Wilmington, Delaware-Maryland-New Jersey¶ |
1,764 |
8.2 |
1.3 |
(5.6--10.7) |
Wilmington, North Carolina |
612 |
5.6 |
1.0 |
(3.6--7.5) |
Worcester, Massachusetts |
2,713 |
7.3 |
0.6 |
(6.1--8.4) |
Yakima, Washington |
752 |
5.5 |
0.8 |
(3.9--7.0) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,035 |
5.5 |
0.9 |
(3.7--7.2) |
Yuma, Arizona |
552 |
8.1 |
1.2 |
(5.7--10.4) |
Median |
6.4 |
|||
Range |
3.0--14.4 |
|||
* Includes use of a cane, wheelchair, special bed, or special telephone occasionally or in certain circumstances. † Standard error. § Confidence interval. ¶ Metropolitan division. |
TABLE 69. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly required to use special equipment* because of any health problem, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Marion County, Florida |
616 |
7.9 |
1.2 |
(5.5--10.2) |
Martin County, Florida |
531 |
6.1 |
1.0 |
(4.1--8.0) |
Miami-Dade County, Florida |
591 |
6.1 |
1.2 |
(3.7--8.4) |
Monroe County, Florida |
495 |
11.6 |
5.0 |
(1.8--21.4) |
Nassau County, Florida |
537 |
6.6 |
1.1 |
(4.4--8.7) |
Okeechobee County, Florida |
708 |
8.2 |
1.2 |
(5.8--10.5) |
Orange County, Florida |
804 |
6.3 |
1.1 |
(4.1--8.4) |
Osceola County, Florida |
700 |
8.6 |
1.1 |
(6.4--10.7) |
Palm Beach County, Florida |
528 |
5.9 |
1.2 |
(3.5--8.2) |
Pasco County, Florida |
546 |
8.9 |
1.4 |
(6.1--11.6) |
Pinellas County, Florida |
527 |
9.3 |
1.3 |
(6.7--11.8) |
Polk County, Florida |
512 |
7.8 |
1.3 |
(5.2--10.3) |
St. Johns County, Florida |
547 |
6.0 |
1.0 |
(4.0--7.9) |
St. Lucie County, Florida |
523 |
6.2 |
1.1 |
(4.0--8.3) |
Santa Rosa County, Florida |
489 |
6.1 |
1.1 |
(3.9--8.2) |
Sarasota County, Florida |
805 |
7.0 |
1.3 |
(4.4--9.5) |
Seminole County, Florida |
527 |
4.3 |
0.8 |
(2.7--5.8) |
Volusia County, Florida |
500 |
8.8 |
1.4 |
(6.0--11.5) |
Wakulla County, Florida |
541 |
7.0 |
1.1 |
(4.8--9.1) |
Clayton County, Georgia |
336 |
5.4 |
1.2 |
(3.0--7.7) |
Cobb County, Georgia |
407 |
4.9 |
1.1 |
(2.7--7.0) |
DeKalb County, Georgia |
423 |
3.7 |
0.8 |
(2.1--5.2) |
Fulton County, Georgia |
406 |
6.1 |
1.4 |
(3.3--8.8) |
Gwinnett County, Georgia |
314 |
6.5 |
1.6 |
(3.3--9.6) |
Hawaii County, Hawaii |
1,516 |
4.8 |
0.6 |
(3.6--5.9) |
Honolulu County, Hawaii |
2,895 |
5.5 |
0.5 |
(4.5--6.4) |
Kauai County, Hawaii |
647 |
3.3 |
0.7 |
(1.9--4.6) |
Maui County, Hawaii |
1,507 |
5.6 |
0.7 |
(4.2--6.9) |
Ada County, Idaho |
637 |
4.9 |
0.9 |
(3.1--6.6) |
Bonneville County, Idaho |
388 |
6.0 |
1.2 |
(3.6--8.3) |
Canyon County, Idaho |
485 |
6.5 |
1.1 |
(4.3--8.6) |
Nez Perce County, Idaho |
271 |
10.7 |
1.9 |
(6.9--14.4) |
Cook County, Illinois |
1,637 |
7.8 |
0.8 |
(6.2--9.3) |
DuPage County, Illinois |
378 |
4.0 |
1.1 |
(1.8--6.1) |
Lake County, Illinois |
292 |
7.0 |
1.8 |
(3.4--10.5) |
Lake County, Indiana |
566 |
8.9 |
1.5 |
(5.9--11.8) |
Marion County, Indiana |
1,104 |
7.4 |
0.9 |
(5.6--9.1) |
Polk County, Iowa |
724 |
6.2 |
0.9 |
(4.4--7.9) |
Johnson County, Kansas |
1,539 |
4.9 |
0.6 |
(3.7--6.0) |
Sedgwick County, Kansas |
1,168 |
7.0 |
0.8 |
(5.4--8.5) |
Shawnee County, Kansas |
549 |
8.3 |
1.5 |
(5.3--11.2) |
Wyandotte County, Kansas |
346 |
9.1 |
1.6 |
(5.9--12.2) |
Jefferson County, Kentucky |
450 |
8.3 |
1.4 |
(5.5--11.0) |
Calcasieu Parish, Louisiana |
508 |
7.0 |
1.2 |
(4.6--9.3) |
East Baton Rouge Parish, Louisiana |
499 |
5.8 |
1.1 |
(3.6--7.9) |
Jefferson Parish, Louisiana |
415 |
7.5 |
1.4 |
(4.7--10.2) |
Orleans Parish, Louisiana |
292 |
3.7 |
1.0 |
(1.7--5.6) |
St. Tammany Parish, Louisiana |
330 |
5.5 |
1.5 |
(2.5--8.4) |
Cumberland County, Maine |
1,076 |
5.0 |
0.6 |
(3.8--6.1) |
Kennebec County, Maine |
542 |
6.5 |
1.1 |
(4.3--8.6) |
Penobscot County, Maine |
653 |
4.9 |
0.8 |
(3.3--6.4) |
Sagadahoc County, Maine |
278 |
6.3 |
1.8 |
(2.7--9.8) |
York County, Maine |
722 |
8.2 |
1.0 |
(6.2--10.1) |
Anne Arundel County, Maryland |
549 |
5.3 |
0.9 |
(3.5--7.0) |
Baltimore County, Maryland |
971 |
9.8 |
1.1 |
(7.6--11.9) |
Charles County, Maryland |
297 |
8.0 |
1.7 |
(4.6--11.3) |
Frederick County, Maryland |
537 |
7.0 |
1.2 |
(4.6--9.3) |
Harford County, Maryland |
301 |
8.8 |
2.0 |
(4.8--12.7) |
Howard County, Maryland |
337 |
3.5 |
0.9 |
(1.7--5.2) |
Montgomery County, Maryland |
1,091 |
5.4 |
0.6 |
(4.2--6.5) |
Prince George´s County, Maryland |
640 |
8.8 |
1.3 |
(6.2--11.3) |
Queen Anne´s County, Maryland |
252 |
7.0 |
1.8 |
(3.4--10.5) |
Washington County, Maryland |
439 |
7.2 |
1.2 |
(4.8--9.5) |
TABLE 69. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly required to use special equipment* because of any health problem, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Baltimore City, Maryland |
491 |
9.0 |
1.3 |
(6.4--11.5) |
Barnstable County, Massachusetts |
572 |
6.4 |
1.0 |
(4.4--8.3) |
Bristol County, Massachusetts |
3,614 |
7.5 |
0.9 |
(5.7--9.2) |
Essex County, Massachusetts |
2,936 |
6.6 |
0.8 |
(5.0--8.1) |
Hampden County, Massachusetts |
1,988 |
8.5 |
0.8 |
(6.9--10.0) |
Hampshire County, Massachusetts |
365 |
7.4 |
1.6 |
(4.2--10.5) |
Middlesex County, Massachusetts |
3,908 |
6.4 |
0.5 |
(5.4--7.3) |
Norfolk County, Massachusetts |
1,246 |
5.2 |
0.6 |
(4.0--6.3) |
Plymouth County, Massachusetts |
830 |
6.7 |
1.1 |
(4.5--8.8) |
Suffolk County, Massachusetts |
2,366 |
6.9 |
0.6 |
(5.7--8.0) |
Worcester County, Massachusetts |
2,713 |
7.3 |
0.6 |
(6.1--8.4) |
Kent County, Michigan |
376 |
4.7 |
1.2 |
(2.3--7.0) |
Macomb County, Michigan |
402 |
6.8 |
1.3 |
(4.2--9.3) |
Oakland County, Michigan |
775 |
5.5 |
0.9 |
(3.7--7.2) |
Wayne County, Michigan |
1,627 |
9.4 |
0.9 |
(7.6--11.1) |
Anoka County, Minnesota |
271 |
7.4 |
1.6 |
(4.2--10.5) |
Dakota County, Minnesota |
348 |
6.7 |
1.3 |
(4.1--9.2) |
Hennepin County, Minnesota |
942 |
6.6 |
0.9 |
(4.8--8.3) |
Ramsey County, Minnesota |
413 |
7.7 |
1.5 |
(4.7--10.6) |
DeSoto County, Mississippi |
258 |
5.1 |
1.3 |
(2.5--7.6) |
Harrison County, Mississippi |
379 |
8.8 |
1.7 |
(5.4--12.1) |
Hinds County, Mississippi |
519 |
10.5 |
1.6 |
(7.3--13.6) |
Rankin County, Mississippi |
297 |
7.5 |
1.5 |
(4.5--10.4) |
Jackson County, Missouri |
490 |
7.3 |
1.2 |
(4.9--9.6) |
St. Louis County, Missouri |
447 |
8.6 |
1.9 |
(4.8--12.3) |
St. Louis City, Missouri |
460 |
6.4 |
1.1 |
(4.2--8.5) |
Flathead County, Montana |
553 |
8.0 |
1.3 |
(5.4--10.5) |
Yellowstone County, Montana |
444 |
6.3 |
1.3 |
(3.7--8.8) |
Dakota County, Nebraska |
479 |
4.8 |
1.0 |
(2.8--6.7) |
Douglas County, Nebraska |
600 |
4.7 |
0.9 |
(2.9--6.4) |
Hall County, Nebraska |
374 |
4.8 |
1.0 |
(2.8--6.7) |
Lancaster County, Nebraska |
544 |
5.5 |
1.7 |
(2.1--8.8) |
Sarpy County, Nebraska |
381 |
4.1 |
1.3 |
(1.5--6.6) |
Clark County, Nevada |
1,342 |
5.8 |
0.6 |
(4.6--6.9) |
Washoe County, Nevada |
1,355 |
5.2 |
0.6 |
(4.0--6.3) |
Grafton County, New Hampshire |
508 |
5.7 |
1.2 |
(3.3--8.0) |
Hillsborough County, New Hampshire |
1,422 |
6.3 |
0.7 |
(4.9--7.6) |
Merrimack County, New Hampshire |
642 |
4.0 |
0.8 |
(2.4--5.5) |
Rockingham County, New Hampshire |
985 |
6.4 |
0.8 |
(4.8--7.9) |
Strafford County, New Hampshire |
616 |
8.2 |
1.4 |
(5.4--10.9) |
Bergen County, New Jersey |
376 |
4.9 |
1.1 |
(2.7--7.0) |
Burlington County, New Jersey |
341 |
4.0 |
1.0 |
(2.0--5.9) |
Camden County, New Jersey |
320 |
9.2 |
1.8 |
(5.6--12.7) |
Essex County, New Jersey |
522 |
9.4 |
1.8 |
(5.8--12.9) |
Gloucester County, New Jersey |
331 |
10.1 |
1.9 |
(6.3--13.8) |
Hudson County, New Jersey |
567 |
6.3 |
1.2 |
(3.9--8.6) |
Hunterdon County, New Jersey |
359 |
6.0 |
2.2 |
(1.6--10.3) |
Middlesex County, New Jersey |
380 |
6.3 |
1.2 |
(3.9--8.6) |
Monmouth County, New Jersey |
322 |
5.4 |
1.3 |
(2.8--7.9) |
Morris County, New Jersey |
417 |
6.6 |
1.4 |
(3.8--9.3) |
Ocean County, New Jersey |
326 |
11.0 |
1.8 |
(7.4--14.5) |
Passaic County, New Jersey |
278 |
7.3 |
1.6 |
(4.1--10.4) |
Somerset County, New Jersey |
358 |
4.7 |
1.4 |
(1.9--7.4) |
Sussex County, New Jersey |
334 |
4.4 |
1.1 |
(2.2--6.5) |
Union County, New Jersey |
306 |
5.1 |
1.2 |
(2.7--7.4) |
Warren County, New Jersey |
307 |
6.2 |
1.4 |
(3.4--8.9) |
Bernalillo County, New Mexico |
1,080 |
7.5 |
0.9 |
(5.7--9.2) |
Dona Ana County, New Mexico |
706 |
6.0 |
0.9 |
(4.2--7.7) |
Sandoval County, New Mexico |
503 |
6.7 |
1.2 |
(4.3--9.0) |
San Juan County, New Mexico |
674 |
8.2 |
1.3 |
(5.6--10.7) |
Santa Fe County, New Mexico |
502 |
5.4 |
0.9 |
(3.6--7.1) |
Valencia County, New Mexico |
311 |
8.9 |
2.1 |
(4.7--13.0) |
Erie County, New York |
399 |
8.6 |
1.6 |
(5.4--11.7) |
TABLE 69. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly required to use special equipment* because of any health problem, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Kings County, New York |
404 |
8.7 |
1.4 |
(5.9--11.4) |
Nassau County, New York |
373 |
4.9 |
1.0 |
(2.9--6.8) |
New York County, New York |
557 |
7.2 |
1.2 |
(4.8--9.5) |
Queens County, New York |
422 |
6.6 |
1.2 |
(4.2--8.9) |
Suffolk County, New York |
431 |
6.1 |
1.2 |
(3.7--8.4) |
Westchester County, New York |
275 |
3.5 |
1.0 |
(1.5--5.4) |
Buncombe County, North Carolina |
354 |
6.6 |
1.3 |
(4.0--9.1) |
Cabarrus County, North Carolina |
356 |
6.5 |
1.3 |
(3.9--9.0) |
Catawba County, North Carolina |
405 |
9.8 |
1.6 |
(6.6--12.9) |
Cumberland County, North Carolina |
377 |
8.7 |
1.5 |
(5.7--11.6) |
Durham County, North Carolina |
327 |
6.4 |
1.4 |
(3.6--9.1) |
Gaston County, North Carolina |
390 |
9.6 |
1.6 |
(6.4--12.7) |
Guilford County, North Carolina |
384 |
7.6 |
1.6 |
(4.4--10.7) |
Henderson County, North Carolina |
295 |
7.8 |
1.4 |
(5.0--10.5) |
Johnston County, North Carolina |
436 |
7.2 |
1.1 |
(5.0--9.3) |
Mecklenburg County, North Carolina |
675 |
4.6 |
0.8 |
(3.0--6.1) |
New Hanover County, North Carolina |
387 |
5.1 |
1.2 |
(2.7--7.4) |
Orange County, North Carolina |
345 |
5.1 |
1.1 |
(2.9--7.2) |
Randolph County, North Carolina |
373 |
5.4 |
1.0 |
(3.4--7.3) |
Union County, North Carolina |
372 |
4.3 |
0.9 |
(2.5--6.0) |
Wake County, North Carolina |
605 |
4.1 |
0.8 |
(2.5--5.6) |
Burleigh County, North Dakota |
496 |
4.7 |
0.9 |
(2.9--6.4) |
Cass County, North Dakota |
669 |
3.7 |
0.8 |
(2.1--5.2) |
Cuyahoga County, Ohio |
760 |
8.7 |
1.0 |
(6.7--10.6) |
Franklin County, Ohio |
750 |
5.5 |
0.9 |
(3.7--7.2) |
Hamilton County, Ohio |
820 |
7.2 |
0.9 |
(5.4--8.9) |
Licking County, Ohio |
252 |
5.6 |
1.4 |
(2.8--8.3) |
Lucas County, Ohio |
779 |
6.7 |
0.9 |
(4.9--8.4) |
Mahoning County, Ohio |
813 |
5.7 |
0.9 |
(3.9--7.4) |
Montgomery County, Ohio |
736 |
9.3 |
1.4 |
(6.5--12.0) |
Stark County, Ohio |
790 |
6.0 |
0.8 |
(4.4--7.5) |
Summit County, Ohio |
747 |
9.0 |
1.1 |
(6.8--11.1) |
Canadian County, Oklahoma |
245 |
5.7 |
1.7 |
(2.3--9.0) |
Cleveland County, Oklahoma |
411 |
6.3 |
1.1 |
(4.1--8.4) |
Oklahoma County, Oklahoma |
1,274 |
7.6 |
0.7 |
(6.2--8.9) |
Tulsa County, Oklahoma |
1,501 |
8.0 |
0.9 |
(6.2--9.7) |
Clackamas County, Oregon |
481 |
6.1 |
1.0 |
(4.1--8.0) |
Multnomah County, Oregon |
813 |
7.5 |
1.0 |
(5.5--9.4) |
Washington County, Oregon |
552 |
4.3 |
0.8 |
(2.7--5.8) |
Allegheny County, Pennsylvania |
631 |
6.1 |
1.0 |
(4.1--8.0) |
Delaware County, Pennsylvania |
272 |
7.8 |
1.9 |
(4.0--11.5) |
Fayette County, Pennsylvania |
1,615 |
11.6 |
2.1 |
(7.4--15.7) |
Luzerne County, Pennsylvania |
2,296 |
9.4 |
1.3 |
(6.8--11.9) |
Montgomery County, Pennsylvania |
336 |
4.4 |
1.1 |
(2.2--6.5) |
Philadelphia County, Pennsylvania |
1,793 |
9.9 |
1.3 |
(7.3--12.4) |
Westmoreland County, Pennsylvania |
289 |
7.6 |
1.7 |
(4.2--10.9) |
Kent County, Rhode Island |
649 |
8.4 |
1.4 |
(5.6--11.1) |
Newport County, Rhode Island |
361 |
6.3 |
1.5 |
(3.3--9.2) |
Providence County, Rhode Island |
2,714 |
7.3 |
0.5 |
(6.3--8.2) |
Washington County, Rhode Island |
515 |
5.1 |
1.0 |
(3.1--7.0) |
Aiken County, South Carolina |
681 |
6.3 |
1.0 |
(4.3--8.2) |
Beaufort County, South Carolina |
841 |
5.4 |
0.8 |
(3.8--6.9) |
Berkeley County, South Carolina |
324 |
9.3 |
1.8 |
(5.7--12.8) |
Charleston County, South Carolina |
681 |
6.8 |
1.0 |
(4.8--8.7) |
Dorchester County, South Carolina |
252 |
4.4 |
1.1 |
(2.2--6.5) |
Greenville County, South Carolina |
550 |
6.3 |
1.0 |
(4.3--8.2) |
Horry County, South Carolina |
905 |
5.0 |
0.7 |
(3.6--6.3) |
Lexington County, South Carolina |
326 |
7.4 |
1.6 |
(4.2--10.5) |
Richland County, South Carolina |
437 |
8.9 |
1.7 |
(5.5--12.2) |
York County, South Carolina |
281 |
6.6 |
1.3 |
(4.0--9.1) |
Minnehaha County, South Dakota |
716 |
4.6 |
0.7 |
(3.2--5.9) |
Pennington County, South Dakota |
761 |
4.9 |
0.7 |
(3.5--6.2) |
Davidson County, Tennessee |
275 |
4.9 |
1.4 |
(2.1--7.6) |
TABLE 69. (Continued) Estimated prevalence of adults aged ≥18 years who were reportedly required to use special equipment* because of any health problem, by county --- Behavioral Risk Factor Surveillance System (BRFSS), United States, 2007 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE† |
95% CI§ |
Hamilton County, Tennessee |
674 |
8.6 |
1.2 |
(6.2--10.9) |
Shelby County, Tennessee |
295 |
6.9 |
1.6 |
(3.7--10.0) |
Sullivan County, Tennessee |
412 |
10.8 |
1.8 |
(7.2--14.3) |
Bexar County, Texas |
1,056 |
8.2 |
0.9 |
(6.4--9.9) |
Cameron County, Texas |
615 |
7.6 |
1.1 |
(5.4--9.7) |
Collin County, Texas |
257 |
7.2 |
1.9 |
(3.4--10.9) |
Dallas County, Texas |
838 |
4.6 |
0.7 |
(3.2--5.9) |
Denton County, Texas |
255 |
4.7 |
1.3 |
(2.1--7.2) |
El Paso County, Texas |
1,489 |
7.6 |
0.7 |
(6.2--8.9) |
Harris County, Texas |
957 |
5.0 |
0.7 |
(3.6--6.3) |
Hidalgo County, Texas |
946 |
6.6 |
0.8 |
(5.0--8.1) |
Tarrant County, Texas |
1,139 |
6.0 |
0.7 |
(4.6--7.3) |
Travis County, Texas |
784 |
5.2 |
0.9 |
(3.4--6.9) |
Webb County, Texas |
499 |
8.1 |
2.3 |
(3.5--12.6) |
Williamson County, Texas |
357 |
4.6 |
1.0 |
(2.6--6.5) |
Davis County, Utah |
418 |
4.7 |
1.2 |
(2.3--7.0) |
Salt Lake County, Utah |
1,639 |
4.4 |
0.5 |
(3.4--5.3) |
Tooele County, Utah |
251 |
5.4 |
1.5 |
(2.4--8.3) |
Utah County, Utah |
547 |
4.7 |
0.9 |
(2.9--6.4) |
Weber County, Utah |
404 |
4.1 |
0.9 |
(2.3--5.8) |
Chittenden County, Vermont |
1,420 |
3.8 |
0.5 |
(2.8--4.7) |
Franklin County, Vermont |
462 |
6.9 |
1.1 |
(4.7--9.0) |
Orange County, Vermont |
372 |
6.7 |
1.3 |
(4.1--9.2) |
Rutland County, Vermont |
678 |
5.5 |
0.9 |
(3.7--7.2) |
Washington County, Vermont |
690 |
5.8 |
0.9 |
(4.0--7.5) |
Windsor County, Vermont |
720 |
5.6 |
0.9 |
(3.8--7.3) |
Arlington County, Virginia |
295 |
5.3 |
1.5 |
(2.3--8.2) |
Fairfax County, Virginia |
247 |
2.8 |
0.9 |
(1.0--4.5) |
Prince William County, Virginia |
280 |
8.3 |
3.5 |
(1.4--15.1) |
Alexandria city, Virginia |
260 |
2.7 |
0.8 |
(1.1--4.2) |
Benton County, Washington |
449 |
3.9 |
0.8 |
(2.3--5.4) |
Chelan County, Washington |
544 |
6.3 |
1.2 |
(3.9--8.6) |
Clark County, Washington |
1,689 |
7.2 |
0.7 |
(5.8--8.5) |
Douglas County, Washington |
529 |
7.2 |
1.3 |
(4.6--9.7) |
King County, Washington |
4,399 |
5.7 |
0.4 |
(4.9--6.4) |
Kitsap County, Washington |
1,003 |
5.9 |
0.8 |
(4.3--7.4) |
Pierce County, Washington |
1,888 |
8.3 |
0.8 |
(6.7--9.8) |
Snohomish County, Washington |
2,732 |
6.9 |
0.5 |
(5.9--7.8) |
Spokane County, Washington |
1,365 |
6.5 |
0.6 |
(5.3--7.6) |
Thurston County, Washington |
1,867 |
6.1 |
0.6 |
(4.9--7.2) |
Whatcom County, Washington |
1,159 |
6.4 |
0.7 |
(5.0--7.7) |
Yakima County, Washington |
752 |
5.5 |
0.8 |
(3.9--7.0) |
Kanawha County, West Virginia |
507 |
6.9 |
1.0 |
(4.9--8.8) |
Milwaukee County, Wisconsin |
1,140 |
6.6 |
1.0 |
(4.6--8.5) |
Fremont County, Wyoming |
499 |
8.2 |
1.2 |
(5.8--10.5) |
Laramie County, Wyoming |
901 |
6.3 |
0.8 |
(4.7--7.8) |
Natrona County, Wyoming |
748 |
6.7 |
1.0 |
(4.7--8.6) |
Median |
6.4 |
|||
Range |
2.7--14.4 |
|||
* Includes use of a cane, wheelchair, special bed, or special telephone occasionally or in certain circumstances. † Standard error. § Confidence interval. |
TABLE 70. Selected Healthy People 2010 objectives* and estimated prevalence ranges for selected indicators by state, metropolitan and micropolitan statistical area (MMSA), and county---United States, Behavioral Risk Factor Surveillance System (BRFSS), 2007 |
|||||
---|---|---|---|---|---|
Objective no. |
Healthy People 2010 Objectives |
Year 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 |
71.3--94.0 |
51.2--95.4 |
51.2--96.8 |
14.29 a |
Increase the proportion of non-institutionalized adults (aged ≥65 years) who are vaccinated annually against influenza |
90 |
32.2--80.0 |
48.3--83.4 |
43.8--88.2 |
14.29 b |
Increase the proportion of non-institutionalized adults (aged ≥65 years) who are ever vaccinated against pneumococcal disease. |
90 |
26.1--74.0 |
43.7--82.8 |
38.6--86.7 |
12.15 |
Increase the proportion of adults (aged ≥18 years) who have had their blood cholesterol checked within the preceding 5 years |
80 |
65.9--85.0 |
57.6--89.8 |
57.6--89.9 |
22.1 |
Reduce proportion of adults (aged ≥18 years) who engage in no leisure time physical activity |
20 |
16.7--43.7 |
8.8--37.5 |
8.6--37.5 |
22.2 |
Increase the proportion of adults who engage in moderate physical activity for at least 30 minutes per day 5 or more days per week or vigorous physical activity for at least 20 minutes per day for 3 or more days per week.†† |
50 |
30.9--60.8 |
37.3--67.1 |
35.9--67.1 |
22.3 |
Increase the proportion of adults who engage in vigorous physical activity that promotes the development and maintenance of cardio respiratory fitness for at least 20 minutes per day for 3 or more days per week. |
30 |
18.5--39.5 |
15.4--44.1 |
15.0--44.5 |
27.1 a |
Reduce cigarette smoking by adults (aged ≥18 years) |
12 |
8.7--31.0 |
6.5--34.4 |
6.5--29.7 |
26.11 c |
Reduce the proportion of adults (aged ≥18 years) who engage in binge drinking in the preceding month.†† |
13 |
8.2--23.4 |
4.3--21.4 |
4.3--25.6 |
19.2 |
Reduce the proportion of adults (aged ≥20 years) who are obese (BMI¶¶ ≥30 kg/m2) |
15 |
19.9--33.5 |
14.8--37.6 |
13.8--37.6 |
12.9 |
Reduce the proportion of adults (aged ≥20 years) with high blood pressure.†† |
14 |
20.9--35.1 |
16.5--38.1 |
15.9--38.1 |
12.14 |
Reduce the proportion of adults (aged ≥20 years) with high total blood cholesterol |
17 |
27.9--43.2 |
29.1--48.5 |
26.1--50.7 |
* SOURCE: US Dept. of Health and Human Services. Healthy People 2010--understanding and improving health Washington, DC: US Dept. of Health and Human Services; 2000. Available at: http://www.healthypeople.gov. † Certain objectives might differ slightly from BRFSS definition. BRFSS prevalence estimates are not age adjusted. § Selected (N=184) metropolitan and micropolitan statistical areas (MMSAs), and metropolitan divisions. ¶ Selected (N=298) counties. ** Baseline measured insurance coverage among persons aged <65 years. Based on 1997 National Health Survey (NHIS) data. †† Revised target. Source: CDC Wonder, Data 2010: The Healthy People 2010 database. Atlanta GA: US Department of Health and Human Services, CDC;2008. Available at: http://wonder.cdc.gov/data2010/focus.htm. ¶¶ Body Mass Index. |
2007 Behavioral Risk Factor Surveillance System State and Territory Project Coordinators
Alabama, Jesse Pevear III, MSPH; Alaska, Rebecca Wells, MS; Arizona, Brian Bender; Arkansas, LaTonya Bynum; California, Marta Induni, PhD; Colorado, Rickey-Tolliver, MPH; Connecticut, Diane Aye, MPH, PhD; Delaware, Fred Breukelman; District of Columbia, Tracy Garner; Florida, Melissa Murray, MS; Georgia, Leah Bryan, MPH; Guam, William J. Brandshagen; Hawaii, Florentina Reyes-Salvail, MS; Idaho, Teresa Abbott; Illinois, Bruce Steiner, MS; Indiana, Linda Stemnock; Iowa, Donald H. Shepherd, PhD; Kansas, Ghazala Perveen, MBBS, PhD, MPH; Kentucky, Tracey Sparks; Louisiana, Todd Griffin, MSPH; Maine, Kip Neale; Maryland, Helio Lopez, MS; Massachusetts, Zi Zhang, MPH; Michigan, Ann Rafferty, PhD; Minnesota, Nagi Salem, PhD; Mississippi, Ron McAnally; Missouri, Janet Wilson, MEd, MPA; Montana, Susan Cummings; Nebraska, Larry Andelt, PhD; Nevada, Alicia Hansen, MS; New Hampshire, Susan Knight, MSPH; New Jersey, Kenneth O'Dowd, PhD; New Mexico, Wayne Honey, PhD; New York, Colleen Baker; North Carolina, Bob Woldman, MA; North Dakota, Melissa Parsons; Ohio, Patricia Coss; Oklahoma, Derek Pate, MPH; Oregon, Renee K. Boyd; Pennsylvania, Robert Dewar, MPA; Puerto Rico, Ruby Serrano-Rodriguez, DrPh; Rhode Island, Jana Hesser, PhD; South Carolina, Jennifer Chiprich, MPH, PhD; South Dakota, Mark Gildemaster; Tennessee, David L. Ridings; Texas, Michelle Cook, MPH; Utah, Kathi Marti, MPH; Vermont, Rodney McCormick, PhD; U.S. Virgin Islands, Sharon Williams, MS; Virginia, Susan Spain; Washington, Katrina Wynkoop-Simmons, PhD; West Virginia, Fred King; Wisconsin, Anne Ziege, PhD; Wyoming, Menlo Futa, MA.
2007 Behavioral Risk Factor Surveillance System Team
Ali Mokdad, PhD; Suzianne Garner; MPA, Lina Balluz, ScD; Earl Ford, MD; Ruth Jiles, PhD; Michael Link, PhD; Jody Hill; Annie Bragg; Indu Ahluwalia, PhD; Julie Brown; Gloria Colclough; Satvinger Dhingra; Amy Fan, MD, PhD; William Garvin; Tod Hebenton; Shaohua Hu, DrPH, MD; Kenneth Laliberte, MPA; Chaoyang Li, PhD, MD; Catherine Okoro, MS; William Pearson, PhD; Mohamed Qayad, PhD; Henry Roberts, PhD; James Ribble; Tara Strine, MPH; Machell Town, MS; Judith Wellen, MHS; Guixiang Zhao, MD, PhD; Bill Bartoli, MSc; Farah Chowdhury, MBBS, MPH; Pranesh Chowdhury, MPH; David Gilbertz, MSc; Elizabeth Hughes, DrPH; Greta Kilmer, MS; Yan Li, MPH; Wilmon Murphy; Xiaoting Qin, PhD; Ajay Sharma; Balarami Valluru, MS; Justin Vigeant; John Wen, MD; Yuna Zhong, MD.
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