TABLE 11. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
553 |
20.6 |
2.5 |
(15.7–25.5) |
Yakima, Washington |
245 |
14.2 |
2.3 |
(9.6–18.7) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
372 |
20.2 |
3.0 |
(14.3–26.0) |
Median |
15.2 |
|||
Range |
4.8-34.8 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Metropolitan division. |
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Surveillance for Certain Health Behaviors Among States and Selected Local Areas — United States, 2010
Corresponding author: Carol A. Crawford, PhD, Division of Behavioral Surveillance, Office of Surveillance, Epidemiology, and Laboratory Services, CDC. Telephone: 404-498-6023; E-mail: cdg7@cdc.gov.
Abstract
Problem: Chronic diseases (e.g., heart disease, stroke, cancer, and diabetes) are the leading causes of morbidity and mortality in the United States. Engaging in healthy behaviors (e.g., quitting smoking and tobacco use, being more physically active, and eating a nutritious diet) and accessing preventive health-care services (e.g., routine physical checkups, screening for cancer, checking blood pressure, testing blood cholesterol, and receiving recommended vaccinations) can reduce morbidity and mortality from chronic and infectious disease and lower medical costs. Monitoring and evaluating health-risk behaviors and the use of health services is essential to developing intervention programs, promotion strategies, and health policies that address public health at multiple levels, including state, territory, metropolitan and micropolitan statistical area (MMSA), and county.
Reporting Period: January–December 2010.
Description of the System: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit–dialed telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services and practices related to the leading causes of death and disabilities in the United States. This report presents results for 2010 for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, Guam, the U.S. Virgin Islands, 192 MMSAs, and 302 counties.
Results: In 2010, the estimated prevalence of high-risk health behaviors, chronic diseases and conditions, access to health care, and use of preventive health services varied substantially by state and territory, MMSA, and county. In the following summary of results, each set of proportions refers to the range of estimated prevalence for the disease, condition, or behaviors, as reported by survey respondents. Adults reporting good or better health: 67.9%–89.3% for states and territories, 72.2%–92.1% for MMSAs, and 72.8%–95.8% for counties. Adults with health-care coverage: 69.4%–95.7% for states and territories, 45.7%–97.0% for MMSAs, and 45.7%–97.2% for counties. Adults who had a dental visit in the past year: 57.2%–81.7% for states and territories, 47.1%–83.5% for MMSAs, and 47.1%–88.2% for counties. Adults aged ≥65 years having had all their natural teeth extracted (edentulism): 7.4%–36.0% for states and territories, 4.8%–34.8% for MMSAs, and 2.4%–39.3% for counties. A routine physical checkup during the preceding 12 months: 53.8%–80.0% for states and territories, 49.5%–82.6% for MMSAs, and 49.5%–85.3% for counties. Influenza vaccination received during the preceding 12 months among adults aged ≥65 years: 26.9%–73.4% for states and territories, 51.7%–77.1% for MMSAs, and 49.3%–87.8% for counties. Pneumococcal vaccination ever received among adults aged ≥65 years: 24.7%–74.0% for states and territories, 48.6%–79.9% for MMSAs, and 47.6%–83.1% for counties. Sigmoidoscopy or colonoscopy ever received among adults aged ≥50 years: 37.8%–75.7% for states and territories, 37.3%–79.9% for MMSAs, and 37.3%–82.5% for counties. Blood stool test received during the preceding 2 years among adults aged ≥50 years: 8.5%–27.0% for states and territories, 6.7%–51.3% for MMSAs, and 6.8%–57.2% for counties. Women who reported having had a Papanicolaou test during the preceding 3 years: 67.8%–88.9% for states and territories, 63.3%–91.2% for MMSAs, and 63.2%–95.7% for counties. Women aged ≥40 years who had a mammogram during the preceding 2 years: 63.8%–83.6% for states and territories, 60.3%–86.2% for MMSAs, and 59.3%–89.7% for counties. Current cigarette smokers: 5.8%–26.8% for states and territories, 5.8%–28.5% for MMSAs, and 5.9%–29.8% for counties. Binge drinking during the preceding month: 6.6%–21.6% for states and territories, 3.6%–23.0% for MMSAs, and 3.8%–24.0% for counties. Heavy drinking during the preceding month: 2.0%–7.2% for states and territories, 1.0%–10.0% for MMSAs, and 1.0%–14.2% for counties. Adults reporting no leisure-time physical activity: 17.5%–42.3% for states and territories, 13.1%–37.6% for MMSAs, and 8.5%–39.0% for counties. Adults who were overweight: 32.6%–40.7% for states and territories, 28.5%–42.5% for MMSAs, and 27.2%–46.4% for counties. Adults aged ≥20 years who were obese: 22.1%–35.0% for states and territories, 17.1%–42.1% for MMSAs, and 13.3%–42.1% for counties. Adults with current asthma: 5.2%–11.1% for states and territories, 3.4%–14.5% for MMSAs, and 3.3%–14.6% for counties. Adults with diagnosed diabetes: 5.3%–13.2% for states and territories, 4.6%–15.4% for MMSAs, and 2.6%–18.8% for counties. Adults with limited activities because of physical, mental or emotional problems: 10.8%–28.2% for states and territories, 13.5%–38.3% for MMSAs, and 11.7%–32.0% for counties. Adults using special equipment because of any health problem: 2.8%–10.6% for states and territories, 4.5%–15.5% for MMSAs, and 1.3%–15.5% for counties. Adults aged ≥45 years who have had coronary heart disease: 5.3%–16.7% for states and territories, 6.5%–19.6% for MMSAs, and 4.9%–19.6% for counties. Adults aged ≥45 years who have had a stroke: 2.4%–7.1% for states and territories, 2.3%–8.8% for MSMAs, and 1.7%–8.8% for counties.
Interpretation: The findings in this report indicate substantial variations in the health-risk behaviors, chronic diseases and conditions, access to health-care services, and the use of the preventive health services among U.S. adults at the state and territory, MMSA, and county levels. Healthy People 2010 (HP 2010) objectives were established to monitor health behaviors, conditions, and the use of preventive health services for the first decade of the 2000s. The findings in this report indicate that many of the HP 2010 objectives were not achieved by 2010. The findings underscore the continued need for surveillance of health-risk behaviors, chronic diseases, and conditions and of the use of preventive health-care services.
Public Health Action: Local and state health departments and federal agencies use BRFSS data to identify populations at high risk for certain health-risk behaviors, chronic diseases, and conditions and to evaluate the use of preventive health-care services. BRFSS data also are used to direct, implement, monitor, and evaluate public health programs and policies that can lead to a reduction in morbidity and mortality from chronic conditions and corresponding health-risk behaviors.
Introduction
Chronic diseases (e.g., heart disease, cancer, stroke, and diabetes) are the leading causes of morbidity and mortality in the United States (1,2). Engaging in healthy behaviors (e.g., quitting smoking and tobacco use, being more physically active, and eating a nutritious diet) and accessing preventive health-care services (e.g., routine physical checkups, screening for cancer, checking blood pressure, testing blood cholesterol, and receiving recommended vaccinations) can reduce morbidity and mortality from chronic and infectious disease and lower medical costs (3). Ongoing state-based surveillance is essential to identify health issues and disparities and to design, implement, and evaluate health programs and policies; surveillance data indicate that the estimated prevalence of health-risk factors, chronic conditions, and use of preventive services varies substantially across the United States (4,5).
The Behavioral Risk Factor Surveillance System (BRFSS) is the world's largest ongoing telephone survey. Since 1984, CDC has assisted state and territorial health departments in conducting the BRFSS survey to track health conditions and health-risk behaviors. BRFSS is the one of the main sources of health information in the United States on chronic disease conditions, health-risk behaviors, emerging health problems, and the use of preventive health services. The data are used to set health goals and monitor public health progress at national, state, and local levels. Since 2002, the sufficient sample size in BRFSS has facilitated analysis of prevalence estimates from selected metropolitan and micropolitan statistical areas (MMSAs), metropolitan divisions, and their counties.
Healthy People objectives represent national goals to prevent diseases, decrease morbidity and mortality, and promote health. These objectives include specific objectives to be achieved by the end of each decade and can be used to monitor and develop health promotions and disease prevention programs at the state and local levels (6). Healthy People 2010 (HP 2010) objectives were based on several national data sources. This analysis used BRFSS data to track health-risk behaviors during 2010 to determine if HP 2010 objectives were met by states and localities. Healthy People 2020 (HP 2020) is available at http://www.healthypeople.gov/2020/topicsobjectives2020/default.aspx. Many of the HP 2020 objectives are continued from HP 2010. BRFSS provides data for state and local areas that might not be available from national data sources for these objectives. This report contains comparisons between 2010 BRFSS data and certain HP 2010 objectives related to chronic diseases, health-risk behaviors, and use of preventive health care services.
Methods
BRFSS is a cross-sectional, random-digit–dialed, state-based survey that includes annual data on approximately 400,000 adults aged ≥18 years who completed interviews (7). BRFSS uses a multistage sampling design to select a representative sample of the noninstitutionalized civilian population in each state and territory. Details of the validity and reliability of the BRFSS survey methodology have been described previously (8). This report provides comparable unweighted sample size, weighted prevalence estimates with standard errors and 95% confidence intervals for prevalence of selected risk behaviors, chronic conditions, use of preventive health-care services by states and territories, MMSAs, and counties.
Questionnaire
The standard BRFSS questionnaire comprises three parts: 1) core questions, 2) optional modules, and 3) state-added questions. Data collectors from all states, the District of Columbia, and U.S. territories ask the same core questions. The 2010 core questions included sections on demographics, health status, number of healthy days, health-care access, number of days feeling unrested, exercise, diagnosed diabetes, oral health, asthma, cardiovascular disease prevalence, disability (limited activity and use of special equipment), tobacco use, alcohol consumption, falls, seat belt use, drinking and driving, women's health, cancer screenings (colorectal cancer and breast cancer), immunization (seasonal influenza and pneumococcal vaccination), human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), emotional support, and life satisfaction. Optional modules were chosen on the basis of the needs of state health departments and specific state programs to address specific health-related topics. State-added questions were designed to address state-specific health issues or track a state's health objectives.
In 2010, the following optional modules were included to address specific health issues: diagnosed prediabetes (35 states), diagnosed diabetes (38 states), healthy day–related symptoms (one state), visual impairment and access to eye care (five states), excess sun exposure (four states), inadequate sleep (nine states), family planning (five states), adult asthma history (five states), arthritis burden (five states), high-risk/health-care worker (three states), shingles (six states), adult tetanus diphtheria (four states), adult human papilloma virus (HPV) (five states), cancer survivorship (10 states), caregiver (two states), reactions to race (three states), anxiety and depression (13 states), social context (two states), general preparedness (two states), veterans' health (two states), adverse childhood experience (five states), random child selection (42 states), childhood asthma prevalence (34 states), childhood immunization (24 states), and child HPV (six states).
To compare 2010 BRFSS results with the HP 2010 objectives, this report focuses on six areas: 1) health status indicators (reported good or better health, health-care coverage, and oral health), 2) preventive practices (routine checkup, influenza vaccination, and pneumococcal vaccination for persons aged ≥65 years), 3) cancer screening (sigmoidoscopy or colonoscopy and blood stool test for persons aged ≥50 years and a Papanicolaou [Pap] test and a mammogram for women aged ≥40 years, 4) health-risk behaviors (current smoking, binge drinking, heavy drinking, and no leisure-time physical activity), 5) chronic conditions and disabilities (overweight or obesity for persons aged ≥20 years, current asthma, diagnosed diabetes, limited activities, and use of special equipment because of physical, mental, or emotional problems), and 6) cardiovascular disease (coronary heart disease and stroke for persons aged ≥45 years). The details are in the 2010 BRFSS questionnaire; all the other documents are available on the BRFSS website (9).
Data Collection and Processing
Since 2007, BRFSS data have been collected monthly in all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, the U.S. Virgin Islands, and Guam. Trained interviewers administer the BRFSS survey using a computer-assisted telephone interviewing system. After the interview is conducted, data are submitted to CDC for editing, processing, weighting, reliability-checking, and analysis.
Data Weighting
At the end of the survey year, CDC edits and aggregates the monthly data files to create yearly samples for each state and territory. Each sample is weighted to the respondent's probability of selection and the age-, sex-, and race/ethnicity-specific distribution of the population using 2010 postcensus projections for each state and territory. State-level weights are adjusted to produce MMSA- and county-level weights. These sampling weights are used to calculate BRFSS state-, territory-, MMSA-, and county-level prevalence estimates. MMSAs were defined by the Office of Management and Budget. Respondents were assigned to a particular MMSA on the basis of their Federal Information Processing Standards (FIPS) county code. Aggregated data at the state level were used to produce national prevalence estimates. Detailed weighting and analytic methodologies have been documented (10).
Statistical Analyses
Prevalence estimates, standard errors, and 95% confidence intervals were computed on the basis of a statistical analysis using weights and strata to account for the complex survey design. To avoid presenting unstable estimates, statistics for certain MMSAs and counties were not reported if the unweighted sample size for the denominator was <50 or the half-width of the 95% confidence interval was >10. MMSAs were included only if there were ≥500 respondents and ≥19 respondents in all the final weighting classes and counties. Within each MMSA or county, weighting classes were based on age and sex cross-classification totals or age, sex, and race cross-classification totals. Responses coded as "do not know" or "refused" were excluded from the analysis. The analysis was conducted using SAS-Callable SUDAAN Version 10.0.1 (Research Triangle Institute, Research Triangle Park, North Carolina).
Results
In 2010, a total of 54 states and territories, 192 MMSAs and 302 counties with sufficient sample sizes were reported. A total of 451,075 respondents completed (n = 425,013) or partially completed (n = 26,062) interviews (range: 784 in Guam to 35,109 in Florida; median: 6,898). On the basis of the Council of American Survey and Research Organizations (CASRO) standards (11), the 2010 BRFSS cooperation rate (defined as the proportion of respondents interviewed of all eligible units in which a respondent was contacted and selected) ranged from 56.8% in California to 86.1% in Minnesota (median: 76.9%). The 2010 BRFSS CASRO rate (defined as the number of complete and partial interviews divided by an estimate of the number of eligible units) ranged from 39.1% in Oregon to 68.8% in Nebraska (median: 54.6%) (12). This report presents weighted prevalence estimates with 95% confidence intervals at the state, MMSA, and county levels in the following sections.
Health Status Indicators
Health Status
Respondents were asked to rate their general health as excellent, very good, good, fair, or poor. The answers were then categorized into two groups: those who reported that their health was excellent, very good, or good and those who reported that their health was fair or poor. In 2010, the estimated prevalence of self-reported good or better health among adults aged ≥18 years ranged from 67.9% in Puerto Rico to 89.3% in Alaska (median: 85.0%) (Table 1). Among selected MMSAs, the self-reported prevalence estimate of good or better health ranged from 72.2% in Huntington-Ashland, West Virginia-Kentucky-Ohio to 92.1% in Cambridge-Newton-Framingham, Massachusetts (median: 85.2%) (Table 2). Among selected counties, the estimated prevalence of self-reported good or better health ranged from 72.8% in Hinds County, Mississippi, to 95.8% in Douglas County, Colorado (median: 85.6%) (Table 3).
Health-Care Coverage
Health-care coverage was defined as any kind of coverage including health insurance, prepaid plans (e.g., health maintenance organizations), or government plan (e.g., Medicare or Medicaid). In 2010, the estimated prevalence of health-care coverage among adults aged ≥18 years ranged from 69.4% in the U.S. Virgin Islands to 95.7% in Massachusetts (median: 85.0%) (Table 4). Among selected MMSAs, the estimated prevalence ranged from 45.7% in McAllen-Edinburg-Mission, Texas, to 97.0% in Cambridge-Newton-Framingham, Massachusetts (median: 85.9%) (Table 5). Among selected counties, the estimated prevalence ranged from 45.7% in Hidalgo County, Texas, to 97.2% in Norfolk County, Massachusetts (median: 87.2%) (Table 6).
Oral Health
Dental Visit
Time since the most recent visit to a dentist or a dental clinic for any reason was measured. In 2010, the estimated prevalence of a dental visit within the previous year among adults aged ≥18 years ranged from 57.2% in Oklahoma to 81.7% in Massachusetts (median: 69.7%) (Table 7). Among selected MMSAs, the estimated prevalence ranged from 47.1% in Arcadia, Florida, to 83.5% in Fargo, North Dakota-Minnesota (median: 70.2%) (Table 8). Among selected counties, the estimated prevalence ranged from 47.1% in DeSoto County, Florida, to 88.2% in Middlesex County, Connecticut (median 72.4%) (Table 9).
All Natural Teeth Extracted
Oral health status was measured as the percentage of adults aged ≥65 years who had all of their permanent teeth removed (edentulism) because of tooth decay or gum diseases. In 2010, the estimated prevalence ranged from 7.4% in Hawaii to 36.0% in West Virginia (median: 17.1%) (Table 10). Among selected MMSAs, the estimated prevalence ranged from 4.8% in San José-Sunnyvale-Santa Clara, California, to 34.8% in Charleston, West Virginia (median: 15.2%) (Table 11). Among selected counties, the estimated prevalence ranged from 2.4% in Santa Clara County, California, to 39.3% in Sullivan County, Tennessee (median: 14.4%) (Table 12).
Preventive Practices
Recent Routine Physical Checkup
A routine physical checkup was defined as a visit to a doctor for a general physical examination rather than for a specific injury, illness or condition. A recent routine checkup was categorized as one that occurred within the preceding 12 months. In 2010, the estimated prevalence of having a recent routine checkup among adults aged ≥18 years ranged from 53.8% in Oregon to 80.0% in Massachusetts (median: 66.7%) (Table 13). Among selected MMSAs, the estimated prevalence ranged from 49.5% in Eugene-Springfield, Oregon, to 82.6% in Boston-Quincy, Massachusetts (median: 67.0%) (Table 14). Among selected counties, the estimated prevalence ranged from 49.5% in Lane County, Oregon, to 85.3% in Plymouth County, Massachusetts (median: 68.0%) (Table 15).
Influenza Vaccination
In 2010, the estimated prevalence of receiving an influenza vaccination among adults aged ≥65 years during the preceding 12 months at the state level ranged from 26.9% in Puerto Rico to 73.4% in Colorado (median: 67.4%) (Table 16). Among selected MMSAs, the estimated prevalence ranged from 51.7% in Miami-Fort Lauderdale-Miami Beach, Florida, to 77.1% in Barre, Vermont (median: 67.9%) (Table 17). Among selected counties, the estimated prevalence ranged from 49.3% in Miami-Dade County, Florida, to 87.8% in Douglas County, Colorado (median: 68.6%) (Table 18).
Pneumococcal Vaccination
In 2010, the estimated prevalence of ever having received a pneumonia injection or pneumococcal vaccine among adults aged ≥65 years ranged from 24.7% in Puerto Rico to 74.0% in Oregon (median: 68.6%) (Table 19). Among selected MMSAs, the estimated prevalence ranged from 48.6% in Laredo, Texas, to 79.9% in Naples-Marco Island, Florida (median: 70.0%) (Table 20). Among selected counties, the estimated prevalence ranged from 47.6% in Hudson County, New Jersey, to 83.1% in Potter County, Texas (median: 70.6%) (Table 21).
Cancer Screening
Sigmoidoscopy or Colonoscopy
Sigmoidoscopy and colonoscopy are examinations in which a tube is inserted into the rectum to view the colon and rectum for the signs of precancerous polyps and colorectal cancer. In 2010, the estimated prevalence of ever having sigmoidoscopy or colonoscopy among adults aged ≥50 years ranged from 37.8% in Guam to 75.7% in Connecticut (median: 64.2%) (Table 22). Among selected MMSAs, the estimated prevalence ranged from 37.3% in Laredo, Texas, to 79.9% in Fargo, North Dakota-Minnesota (median: 67.7%) (Table 23). Among selected counties, the estimated prevalence ranged from 37.3% in Webb county, Texas, to 82.5% in Washington County, Rhode Island (median: 68.8%) (Table 24).
Blood Stool Test
A blood stool test is one in which a special kit is used to determine whether the stool contains blood. In 2010, the estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years ranged from 8.5% in Guam to 27.0% in California (median: 16.8%) (Table 25). Among selected MMSAs, the estimated prevalence ranged from 6.7% in Provo-Orem, Utah, to 51.3% in Tallahassee, Florida (median: 17.6%) (Table 26). Among selected counties, the estimated prevalence ranged from 6.8% in Utah County, Utah, to 57.2% in Leon County, Florida (median: 17.8%) (Table 27).
Papanicolaou Test
A Papanicolaou (Pap) test is a test for cancer of the cervix. In 2010, the estimated prevalence of women aged ≥18 years who had a Pap test during the preceding 3 years ranged from 67.8% in Guam to 88.9% in Massachusetts (median: 81.0%) (Table 28). Among selected MMSAs, the estimated prevalence ranged from 63.3% in Provo-Orem, Utah, to 91.2% in Peabody, Massachusetts (median: 82.4%) (Table 29). Among selected counties, the estimated prevalence ranged from 63.2% in Utah County, Utah, to 95.7% in Johnston County, North Carolina (median: 83.1%) (Table 30).
Mammogram
A mammogram is a radiograph of each breast to test for breast cancer. The state-specific estimated prevalence of having a mammogram during the preceding 2 years among women aged ≥40 years ranged from 63.8% in Idaho to 83.6% in Massachusetts (median: 75.2%) (Table 31). Among selected MMSAs, the estimated prevalence ranged from 60.3% in Idaho Falls, Idaho, to 86.2% in Bangor, Maine (median: 76.5%) (Table 32). Among selected counties, the estimated prevalence ranged from 59.3% in Tooele County, Utah, to 89.7% in Queen Anne's County, Maryland (median: 77.1%) (Table 33).
Health-Risk Behaviors
Current Smoking
Current smoking was defined as having smoked at least 100 cigarettes in one's lifetime and reporting smoking every day or some days at the time of survey participation. The estimated prevalence of current smoking among adults aged ≥18 years ranged from 5.8% in the U.S. Virgin Islands to 26.8% in West Virginia (median: 17.3%) (Table 34). Among selected MMSAs, the estimated prevalence ranged from 5.8% in Provo-Orem, Utah, to 28.5% in Tuscaloosa, Alabama (median: 17.4%) (Table 35). Among selected counties, the estimated prevalence ranged from 5.9% in Utah County, Utah, to 29.8% in Valencia County, New Mexico (median: 16.1%) (Table 36).
Binge Drinking
Binge drinking was defined for men aged ≥18 years as having on average five or more drinks during one occasion and for women aged ≥18 years as having on average four or more drinks on one occasion during the preceding month. In 2010, the estimated prevalence of binge drinking among adults aged ≥18 years ranged from 6.6% in Tennessee to 21.6% in Wisconsin (median: 15.1%) (Table 37). Among selected MMSAs, the estimated prevalence ranged from 3.6% in Knoxville, Tennessee, to 23.0% in Kappa, Hawaii, and Key West-Marathon, Florida (median: 14.7%) (Table 38). Among selected counties, the estimated prevalence ranged from 3.8% in Utah County, Utah, to 24.0% in Suffolk County, Massachusetts (median: 15.1%) (Table 39).
Heavy Drinking
Heavy drinking was defined for men aged ≥18 years as having, on average, more than two drinks per day and for women aged ≥18 years as having, on average, more than one drink per day during the preceding month. In 2010, the estimated prevalence of heavy drinking among adults aged ≥18 years ranged from 2.0% in Tennessee to 7.2% in Vermont (median: 5.0%) (Table 40). Among selected MMSAs, the estimated prevalence ranged from 1.0% in Nashville-Davidson-Murfreesboro, Tennessee, to 10.0% in Key West-Marathon, Florida (median: 5.1%) (Table 41). Among selected counties, the estimated prevalence ranged from 1.0% in Tolland County, Connecticut, to 14.2% in Hampshire County, Massachusetts (median: 5.0%) (Table 42).
No Leisure-Time Physical Activity
No leisure-time physical activity was defined as nonparticipation in any physical activities (other than what is done during one's regular job) or exercises, such as running, calisthenics, golf, gardening, or walking during the preceding month. In 2010, the estimated prevalence of no leisure-time physical activity among adults aged ≥18 years ranged from 17.5% in Oregon to 42.3% in Puerto Rico (median: 24.0%) (Table 43). Among selected MMSAs, the estimated prevalence ranged from 13.1% in Fort Collins-Loveland, Colorado, to 37.6% in Kingsport-Bristol, Tennessee-Virginia (median: 23.7%) (Table 44). Among selected counties, the estimated prevalence ranged from 8.5% in Douglas County, Colorado, to 39.0% in Caddo Parish, Louisiana (median: 22.8%) (Table 45).
Chronic Conditions and Disabilities
Overweight
Self-reported weight and height were used to calculate body mass index (BMI) (weight [kg]/height [m2]). Overweight was defined as BMI ≥25.0 and <30.0. In 2010, the estimated prevalence of adults aged ≥18 years who were overweight ranged from 32.6% in Guam to 40.7% in Alaska (median: 36.2%) (Table 46). Among selected MMSAs, the estimated prevalence ranged from 28.5% in Fort Collins-Loveland, Colorado, to 42.5% in Atlantic City, New Jersey (median: 36.0%) (Table 47). Among selected counties, the estimated prevalence ranged from 27.2% in Dallas County, Texas, to 46.4% in Tolland County, Connecticut (median: 36.6%) (Table 48).
Obesity
Obesity was defined as BMI ≥30 among adults aged ≥20 years to compare with HP 2010 objectives. In 2010, the estimated prevalence of adults aged ≥20 years who were obese ranged from 22.1% in Colorado to 35.0% in Mississippi (median: 28.5%) (Table 49). Among selected MMSAs, the estimated prevalence ranged from 17.1% in Bridgeport-Stamford-Norwalk, Connecticut, and Key West-Marathon, Florida, to 42.1% in Wauchula, Florida (median: 28.3%) (Table 50). Among selected counties, the estimated prevalence ranged from 13.3% in Westchester County, New York, to 42.1% in Hardee County, Florida (median: 27.4%) (Table 51).
Current Asthma
Respondents aged ≥18 years were categorized as currently having asthma if they reported having ever been told by a doctor, nurse, or other health-care professional that they had asthma and still had it during the survey. In 2010, the estimated prevalence of current asthma among adults aged ≥18 years ranged from 5.2% in Guam to 11.1% in Vermont (median: 9.0%) (Table 52). Among selected MMSAs, the estimated prevalence ranged from 3.4% in Laredo, Texas, to 14.5% in Rutland, Vermont (median: 9.0%) (Table 53). Among selected counties, the estimated prevalence ranged from 3.3% in Washington County, Arkansas, and Davidson County, Tennessee, to 14.6% in Bronx County, New York (median: 8.9%) (Table 54).
Diabetes
Diagnosed diabetes was defined as having ever been told by a doctor that respondents had diabetes, excluding gestational diabetes, pre-diabetes, or borderline diabetes. In 2010, the estimated prevalence of diagnosed diabetes among adults aged ≥18 years ranged from 5.3% in Alaska to 13.2% in Alabama (median: 8.7%) (Table 55). Among selected MMSAs, the estimated prevalence ranged from 4.6% in Gainesville, Florida, to 15.4% in Wauchula, Florida (median: 8.9%) (Table 56). Among selected counties, the estimated prevalence ranged from 2.6% in Summit County, Utah, to 18.8% in Gadsden County, Florida (median: 8.6%) (Table 57).
Limited Activities
The estimated prevalence of reported limited activities in any way because of physical, mental, or emotional problems among adults aged ≥18 years ranged from 10.8% in Guam to 28.2% in West Virginia (median: 20.8%) (Table 58). Among selected MMSAs, the estimated prevalence ranged from 13.5% in Fargo, North Dakota-Minnesota, to 38.3% in Huntington-Ashland, West Virginia-Kentucky-Ohio (median: 20.6%) (Table 59). Among selected counties, the estimated prevalence ranged from 11.7% in Cass County, North Dakota, to 32.0% in Lane County, Oregon (median: 20.3%) (Table 60).
Use of Special Equipment
Respondents were asked whether any of their health problems required them to use special equipment (cane, wheelchair, special bed, or special telephone). The estimated prevalence of use of special equipment as a result of any health problems among adults aged ≥18 years ranged from 2.8% in Guam to 10.6% in Mississippi (median: 7.5%) (Table 61). Among selected MMSAs, the estimated prevalence ranged from 4.5% in Fargo, North Dakota-Minnesota, to 15.5% in Homosassa Springs, Florida (median: 7.5%) (Table 62). Among selected counties, the estimated prevalence ranged from 1.3% in Summit County, Utah, to 15.5% in Citrus County, Florida (median: 7.4%) (Table 63).
Cardiovascular Diseases
Coronary Heart Disease
Respondents were classified as having coronary heart disease if they had ever been told by a doctor, nurse, or other health-care professional that they had coronary heart disease including heart attack (myocardial infarction) and angina. The estimated prevalence of coronary heart disease among adults aged ≥45 years ranged from 5.3% in the U.S. Virgin Islands to 16.7% in Puerto Rico (median: 10.9%) (Table 64). Among selected MMSAs, the estimated prevalence ranged from 6.5% in Honolulu, Hawaii, to 19.6% in Homosassa Springs, Florida (median: 10.7%) (Table 65). Among selected counties, the estimated prevalence ranged from 4.9% in Montgomery County, Pennsylvania, to 19.6% in Citrus County, Florida (median: 10.4%) (Table 66).
Stroke
Respondents were classified as having had a stroke if they had ever been told by a doctor, nurse, or other health-care professional that they had a history of stroke. In 2010, the estimated prevalence of stroke among adults aged ≥45 years ranged from 2.4% in the U.S. Virgin Islands to 7.1% in Oklahoma (median: 4.5%) (Table 67). Among selected MMSAs, the estimated prevalence ranged from 2.3% in Rutland, Vermont, to 8.8% in Lakeland-Winter Haven, Florida (median: 4.4%) (Table 68). Among selected counties, the estimated prevalence ranged from 1.7% in Benton County, Arkansas, and Queen Anne's County, Maryland, and Catawba County, North Carolina, to 8.8% in Polk County, Florida, and Buncombe County, North Carolina (median: 4.3%) (Table 69).
Discussion
Substantial variations exist in the estimated prevalence of health status and risk behaviors, the use of preventive practices and cancer preventions, chronic conditions, cardiovascular diseases, and disability among U.S. adults at the levels of state and territory, MMSA, and county. The geographic variations in these estimates might reflect differences in demographics, socioeconomic status, spatial variation in social desirability, state laws or local ordinances, the availability of access to health-care facilities, the use of preventive health-care services, and the coverage of preventive screenings by insurance providers. These estimates can be used by local health-care policymakers and public health advisors to identify the burdens of health risks, monitor the change in the health-risk behaviors and diseases, and implement prevention strategies. Of note, the findings in this report reflect the direct (nonmodel-based) estimation methods selected, and the use of other methods might yield different results for certain variables.
HP 2010 set out the objectives of improvement in health status and public awareness of reduction in health-risk behavior to be achieved by 2010. However, the measures of some of the variables in BRFSS might be different from the other databases used to develop the HP 2010 objectives, and therefore some of the HP 2010 objective targets might not apply directly to the BRFSS data. Overall, the findings provided in this report indicate that certain HP 2010 goals (e.g., health-care insurance coverage and vaccination against influenza and pneumococcal diseases) were not met at any state or local level.
Health Status Indicators
Health Status
Self-reported health status usually rates the participant's own general health as excellent, very good, good, fair, or poor. Although it is a simple measure, it encompasses multidimensional health conditions and behaviors including physical and mental health, activity limitation, and health behavior risks (13). The measure of the overall health has been proved to be valid (14,15). Poor self-assessed general health has been found to be linked with socioeconomic status and subsequent mortality in a U.S. multiethnic cohort (16). In this report, self-reported health status measured respondents who reported that their health was excellent, very good, or good compared with those who reported that their health was fair or poor. The estimated prevalence of good or better health varied across states, territories, MMSAs, and counties, suggesting the geographic variations in the patterns of health-care access, treatment, and severity of chronic conditions.
Health-Care Coverage
In 2009, according to the U.S. Census Bureau, 50.7 million persons in the United States were without health-care coverage (17), and in 2010, one in four adults aged 18–64 years was not insured (18). This problem affects not only persons living in poverty but also middle-class persons. Persons without health-care coverage are less likely to receive preventive services or have adequate access to health care, and the uninsured also are more likely than their insured counterparts to receive a diagnosis of advanced-stage cancer, suffer from chronic-condition complications, and require emergency care. The advanced stages of these illnesses are associated with elevated mortality rates and increased medical costs (18,19). By 2010, no state or territory, MMSAs, or county achieved the HP 2010 objective (objective no. 1-1) (6) of 100% health-care coverage among residents (Table 70).
Oral Health
Dental caries is a demineralization of the tooth caused by bacterial infection. More than 25% of children aged 2–5 years and 50% of those aged 12–15 years have tooth decay (20). Routine dental visits and treatments can help prevent and control the most common oral diseases, which are dental caries (tooth decay) and periodontal diseases. The HP 2010 objective was to increase the proportion of children and adults who use the oral health-care system each year to 56% (objective no. 21-10) (Table 70). In 2010, a total of 4.2% of MMSAs and 4.6% of counties did not meet the target. However, BRFSS data on dental visits in the past year might be underestimated because children aged <18 years were not included in the questionnaire. Periodontal disease and dental caries are the leading causes for tooth loss and edentulism (21–23). Edentulism also is associated with poor oral hygiene, lack of access to oral health care, and lower socioeconomic status (24). Persons with complete edentulism are more likely to be smokers and to face elevated risk for poor nutrition and comorbidities such as diabetes and rheumatoid arthritis (25,26). The HP 2010 objective was to reduce the percentage of persons having had all their natural teeth extracted to less than 22% among adults aged ≥65 years (objective no. 21-4) (Table 70). In 2010, a total of 16.7% of the states and territories, 14.6% of MMSAs, and 10.6% of counties did not achieve that goal.
Preventive Practices
Routine Physical Checkup
A routine physical checkup is an important tool to help maintain good health, diagnose health problems in early stages, and prevent or control chronic diseases such as hypertension, cardiovascular diseases, diabetes, or chronic obstructive pulmonary disease (COPD). Being a younger adult, being unmarried, having a lower household income, lacking health insurance, and not participating in regular physical activity usually are associated with being less likely to receive a recent routine checkup (27). In 2010, a substantial geographic variation existed in the estimated prevalence of recent routine checkups in states and territories, MMSAs, and counties. Addressing health disparity and access to health care can improve the rates of routine checkups (28).
Pneumococcal and Influenza Vaccination
Pneumococcal disease is a type of bacterial infection that can cause pneumonia. Streptococcus pneumoniae is the most common cause of community-acquired pneumonia, which is a major source of morbidity and mortality among the very young and elderly (29,30). Overall, the case-facility rate is 15%–20% (31) and 30%–40% among the elderly, especially those with chronic conditions (32–34). Influenza also is a major cause of mortality and morbidity among the same groups at high risk for pneumococcal disease: the very young, the elderly, and those with high-risk conditions. Influenza-related complications are responsible for approximately 200,000 hospitalizations every year (35). Influenza epidemics caused approximately 3,000 deaths in 1976 and approximately 49,000 deaths in 2007. During this period, 90% of influenza-caused mortality occurred among the elderly (36). Pneumococcal disease, influenza, and the medical cost caused by the diseases can be largely reduced and controlled by vaccinations, especially among the elderly population, which is a high-risk group (37,38). The HP 2010 objectives set out to increase the proportion of adults vaccinated against influenza and pneumococcal diseases to 90% among persons aged ≥65 years (objective nos. 14-29a and 14-29b) (Table 70). This direct estimate might yield different results from season-specific estimates generated by CDC's National Center for Immunization and Respiratory Diseases (39). In 2010, no state or territory, MMSA, or county achieved the objective. Strategies that continue to improve immunization rates could be helpful at state and local levels (40).
Cancer Prevention
Colorectal Cancer Screening
Colorectal cancer is the third most commonly diagnosed cancer and the third leading cause of cancer-related death in both men and women in the United States. In 2008, a total of 142,950 new cases and 52,857 deaths from colorectal cancer occurred (41). Over the last 2 decades, incidence and mortality have decreased, especially during 1998–2007, primarily because of the increase in screenings that detect and remove adenomatous polyps before cancer develops (42). The guidelines recommend that persons aged ≥50 years receive a colonoscopy, preferably a flexible sigmoidoscopy, if available, or a fecal occult blood test (43). The HP 2010 objective is to increase the number of persons who have had a fecal occult blood test within the previous 2 years to 33% (objective no. 3-12a) (Table 70). No state or territory achieved the goal in 2010; 2.1% of MMSAs and 3.6% of counties did. The target for sigmoidoscopy or colonoscopy is 50% (objective no. 3-12b) (Table 70). The goal was achieved by all states and territories except for Guam, Puerto Rico, and the U.S. Virgin Islands; all MMSAs except for Laredo, Texas, and Del Rio, Texas; and all counties except for Webb County, Texas, Val Verde County, Texas, and Passaic County, New Jersey.
Cervical Cancer Screening
Cervical cancer continues to be a public health issue with 12,410 new cases and 4,008 deaths in 2008 (44). The primary cause of cervical cancer is HPV. All women are at risk for developing cervical cancer with the highest incidence in women aged >30 years (45). Racial/ethnic and age disparities exist in the late stage of diagnosis and the incidence rate (46,47). Cervical cancer can be detected early with Pap tests. By detecting precancerous lesions, Pap tests have contributed to the decreasing incidence and mortality rates over the previous 2 decades (47). Since 2003, the rates have remained stable (42). In 2008, the age-adjusted incidence and mortality rates of cervical cancer were 8.0 and 2.6 per 100,000 females (48). Women aged ≥21 years should receive the Pap test to screen for cervical cancer at least every 3 years until age 65 years (49). The HP 2010 objective is to increase the use of Pap test within the preceding 3 years to 90% among women aged ≥18 years (objective no. 3-11b) (Table 70). In 2010, no state or territory achieved the target; 3.1% of MMSAs and 7.6% of counties achieved this goal.
Breast Cancer Screening
Breast cancer is the most commonly diagnosed cancer (excluding skin cancer) and second leading cause of cancer mortality in women. In 2008, a total of 210,203 women had breast cancer diagnosed, and 40,589 women died of this cancer (50). In 2012, an estimated 226,870 new cases of invasive breast cancer are expected to occur among women and an estimated 2,190 new cases are expected to occur among men in the United States; approximately 39,920 breast cancer-specific deaths are estimated to occur (42). There are varieties of risk factors for breast cancer. Older age is associated with the higher likelihood of having breast cancer (51). Women with a family history of breast cancer might carry genetic mutations that contribute to elevated risk for the disease (52). Mammograms are an important diagnostic tool for early detection of breast cancer. The United States Preventive Services Task Force currently recommends biennial screening mammography for women aged 50–74 years. During 1975–2000, the breast cancer specific mortality rate declined approximately 46% at least in part as a result of the use of mammograms (53). The HP 2010 objective is to increase the mammography rate to 70% (objective no. 3-13) (Table 70). In 2010, approximately 79.6% of states and territories, 87.5% of MMSAs, and 89.1% of counties achieved this goal.
Health-Risk Behaviors
Cigarette Smoking
Cigarette smoking is the leading preventable cause of disease and deaths in the United States (54,55). Many diseases (including many types of cancers, cardiovascular diseases, and COPD) are attributable to smoking (54). Cigarette smoke contains over 7,000 chemicals; hundreds of them are toxic, and many cause cancer (56). During 1965–2005, the prevalence of cigarette smoking among adults aged ≥18 years declined from 42.4% (57) to 20.9%; during 2005–2010, prevalence declined from 20.9%–19.3% (58). Smokers are more likely to be men, aged <65 years, and non-Hispanic American Indians or Alaska Natives as well as to have a low educational level and to live below the poverty level (58). The HP 2010 objective was to reduce the overall prevalence of cigarette smoking to 12% (objective no. 27-1a) (Table 70). Not all states and territories, MMSAs, or counties achieved the goal: 5.6% of states and territories, 10.9% of MMSAs, and 15.9% of counties met the goal. These findings suggest a need for continuing sustained and adequately funded tobacco control efforts at the state and local level (58,59).
Binge and Heavy Drinking
Excessive alcohol consumption, including binge and heavy drinking, is a leading preventable cause of death in the United States and accounted for an estimated average of 80,000 deaths and >2.3 million years of potential life lost (YPLL) each year during 2001–2005 (60) and for an estimated $223.5 billion in lost productivity, criminal justice costs, and health-care expenditures (61). Excessive alcohol use is a risk factor for many adverse health and social outcomes, including unintentional injuries (e.g., motor-vehicle accidents), violence, suicide, hypertension, acute myocardial infarction, certain cancers, sexually transmitted diseases, unintended pregnancy, fetal alcohol syndrome, and sudden infant death (62). The differences in binge and heavy drinking among states and territories, MMSAs, and counties might reflect cultural factors (63) and differences in state and local laws that affect the price, availability, and marketing of alcoholic beverages (64). Evidence-based population-level strategies to reduce and prevent excessive alcohol use and its related harms (e.g., measures to control access to alcohol and to increase prices) have been recommended by the Community Preventive Services Task Force (65).
No Leisure-Time Physical Activity
The risk for many chronic diseases including coronary heart disease, diabetes, arthritis, and some types of cancers can be reduced by engaging in physical activity. Physical activity also aids in weight control (66). The HP 2010 objective measures the proportion of adults aged ≥18 years who never or were unable to engage in light or moderate or vigorous exercise for at least 20 minutes. The objective is to reduce the proportion of adults aged ≥18 years engaging in no leisure-time physical activity to 20%. The 2010 BRFSS survey measured the proportion of adults aged ≥18 years who never engaged in any physical activity during the previous month. Because these two data sources used different questions and time frames to assess participation in leisure time physical activity, BRFSS prevalence estimates cannot be compared directly with the HP 2010 objective. However, BRFSS data indicate that continued efforts are required to increase the leisure-time physical activity of the population at state and territory, and local levels. In 2008, the U.S. Department of Health and Human Services published recommended amounts of physical activity for older adults, adults, children and adolescents, women during pregnancy, adults with disabilities, and persons with chronic medical conditions (66). Strategies to encourage persons to become more physically active are identified by the Community Guide (67) and by the U.S. National Physical Activity Plan (68).
Chronic Conditions
Overweight and Obesity
Recent data using participants' measured weight and height indicate that among adults aged ≥20 years, the age-adjusted prevalence of obesity (BMI ≥30) and overweight and obesity combined (BMI ≥25) are 35.7% and 68.8%, respectively (69). There are also racial and ethnic disparities in the temporal trend of prevalence of obesity in the United States (69). The prevalence of overweight and obesity remains a critical public health problem. Obesity is also an economic burden in the United States. In 2008, the associated medical cost of obesity was estimated to be $147 billion. Obesity is associated with numerous chronic conditions, diseases, and events including high blood pressure, coronary heart disease, stroke, type II diabetes, certain types of cancer, sleep apnea, osteoarthritis, infertility, and mental health conditions (70). Overweight and obesity are associated with mortality from diabetes (71). Obesity is associated with mortality from obesity-related cancers (72). A large prospective study demonstrated that obesity is strongly associated with risk for death regardless of sex, race, or ethnic group (73). The HP 2010 objective is to reduce the proportion of adults aged ≥20 years who are obese to 15% (objective no. 19-2). No state or territory or MMSA achieved this goal in 2010 (Table 70). Only three counties (Westchester County, New York; New York County, New York; and San Francisco County, California) met the target goal. However, the HP 2010 goal is based on measured weight and height whereas BRFSS is a self-reported survey. The obesity prevalence from self-reported data tends to be underestimated (74). Comprehensive strategies to improve nutrition and increase physical activity are needed and should be implemented across multiple settings and sectors to address the high prevalence of overweight and obesity and their public health burden (75,76).
Asthma
Asthma is a chronic respiratory disease that affects persons of all ages and is characterized by episodic and reversible attacks of wheezing, chest tightness, shortness of breath, and coughing (77). In 2001, a total of 20.3 million persons in the United States had received a diagnosis of asthma. By 2010, 25.7 million U.S. residents had received an asthma diagnosis (78,79). Certain environmental factors exacerbate asthma, including exposure to tobacco smoke, allergens, air pollution, microbial substances, infection, and diet (80). Although asthma cannot be cured, symptoms can be controlled with appropriate medical treatment, self-management education, and avoidance of exposure to environmental allergens and irritants that can trigger an attack (81). In 2010, the overall median prevalence of current asthma was 9.0% (interquartile range: 5.2%–11.1%). The variability in the estimated prevalence of asthma existed at MMSAs and county levels.
Diabetes
Diabetes is caused by lack of insulin in the body (Type I diabetes) and insulin resistance (Type II diabetes). The complications of diabetes are serious and extensive; they include vision loss, lower-extremity amputation, skin complications (e.g., itching and bacterial and fungal infection), heart and kidney diseases, periodontitis, poor mental health, neuropathy, and stroke, and they involve many other organs and tissues (82). Diabetic patients face elevated risks of developing cancer (83). An estimated 25.8 million persons in the United States have diabetes, including 7.0 million persons who have not received a diagnosis (84). In 2010, approximately 1.9 million adults aged ≥20 years received a new diagnosis of diabetes. In 2010, the prevalence of diagnosed diabetes at the state level ranged from 5.3%–13.2%. Persons with diabetes have shorter life expectancy and increased mortality compared with persons without diabetes. By 2050, new incidence of diabetes is expected to be 15 cases per 1,000 persons (85). In 2007, diabetes cost the United States approximately $174 billion (86). Eating right and being active can help to prevent type II diabetes. Given the high prevalence of diabetes and its likely future burden, implementation of effective interventions and strategies that can reduce risk for obesity and encourage physical activity, particularly among high-risk populations, can help to lower diabetes rates and keep existing diagnosed cases of the disease in better control. The National Diabetes Prevention Program aims to prevent or delay diabetes by bringing the evidence-based lifestyle change program to the community level (87).
Disability
Approximately 50 million persons in the United States live with a disability, which includes mental impairment or difficulties with hearing, vision, movement, thinking, remembering, learning, communication, and social relationships (88). Physical limitations can require the use of special equipment. Disability usually is associated with low socioeconomic status. Persons with disabilities are more likely to be poor and have barriers to education and employment (89). There is a racial disparity of self-reported health status among persons with disabilities (90). Many persons with disabilities also have at least one chronic condition (e.g., obesity, diabetes, depression, or mental illness). They are more likely to use an emergency department, to be hospitalized, and to have limited health-care access (91,92). Persons with disabilities account for 43% of Medicaid health-care expenditures (93). In 2005, among the total population, 18.7% had some level of disability, and 12.0% had a severe disability (94). Although the severe disability rate declined among the elderly population during the last 2 decades, the disability rate has increased among working-aged persons, especially among the obese population (95). Compared with the medians of prevalence of use of special equipment in 2008 (7.2%) and 2009 (7.0%), the rate did not decline in 2010 (7.5%). As the U.S. population ages, the need to improve quality of life, increase access to special equipment, and prevent hospital-associated disability complications among the disabled population will continue to be important (96).
Cardiovascular Diseases
Coronary Heart Disease
The most common type of heart disease is coronary heart disease, which is caused by the buildup of plaque that narrows the blood vessels that supply blood to the heart (97). Heart disease is the leading cause of death for both men and women in the United States (98). One in six deaths in 2010 could be attributed to coronary heart disease (99). In 2010, estimates from BRFSS data indicated that prevalence of coronary heart disease ranged from 5.3%–16.7% at the state level. Since the Framingham Heart Study, many risk factors are known to be associated with coronary heart disease, including age, sex, smoking status, diabetes, unhealthy systolic blood pressure and total cholesterol, and high low-density lipoprotein cholesterol (100,101). Chronic conditions including diabetes mellitus, obesity, high blood pressure, a low level of high-density lipoprotein cholesterol, and a high level of low-density lipoprotein are associated with developing coronary heart disease, as are unhealthy behaviors (e.g., tobacco use, excessive alcohol consumption, diets high in fat and sodium, and physical inactivity); being older, male, black or of American Indian descent; and having a family history of the disease (97,102). Risk for coronary heart disease can be lowered by maintaining a healthy lifestyle (including quitting smoking, losing weight, monitoring blood pressure, and controlling blood cholesterol by following a low-fat diet and engaging in regular aerobic exercise). Adopting guidelines that encourage healthy lifestyle choices and control of diabetes, blood pressure, and cholesterol can help lower overall rates of heart disease (103).
Stroke
Cerebrovascular disease is the fourth leading cause of mortality in United States (2). In 2010, stroke was responsible for one out of 18 deaths in the United States (99). Stroke occurs when a clot blocks the blood supply to the brain or a blood vessel in the brain bursts (104). If nonfatal, stroke can cause severe long-term physical disability (e.g., paralysis and speech problems). Each year, approximately 795,000 persons in the United States have new or recurrent strokes (105). The direct medical cost for stroke was $28.3 billion in 2010 and has been projected to be $95.6 billion in 2030 (106). The dominant risk factors associated with stroke are high blood pressure, impaired glucose tolerance, atrial fibrillation, current cigarette smoking, and physical inactivity. The incidence and treatment vary by age, gender, and race. Females are older than males at stroke onset (107). Blacks had a higher prevalence of stroke than whites (108). As a risk factor for ischemic stroke, dyslipidemia was less likely to be discovered, treated, or controlled in blacks than whites (109). Education and prevention programs that target high-risk populations can help cut rates of stroke. The recommendation and guidelines to prevent stroke are provided by CDC (110).
Importance of Reducing Health-Risk Behaviors
The health-risk behaviors and chronic conditions are correlated. For instance, prenatal and passive smoking exposure could increase the incidence of asthma (111). Binge drinking is not only deleterious to health but also contributes to high health-care costs attributable to alcohol-related crime, as well as productivity loss and other burdens to the community (61). Reducing unhealthy risk behaviors and improving adherence to preventive care could help to prevent the occurrence of the chronic conditions and ultimately decrease mortality and morbidity risk for all members of a community.
Limitations
The findings in this report are subject to at least five limitations. First, BRFSS is a household survey that does not collect information from persons in institutions, nursing homes, long-term–care facilities, military installations, and correctional institutions. For this reason, the results cannot be generalized to these populations. Second, increasing use of cell-phone–only households and telephone number portability might decrease the response rate in BRFSS landline surveys (112). In 2009, BRFSS began to collect data on cell-phone–only households as well as on traditional landline households. However, the data are not available for all states and territories and therefore are not included in this report. Third, although BRFSS is conducted in multiple languages (including English, Spanish, Mandarin Chinese, and Portuguese), data are not collected from persons speaking other languages or different dialects, so these persons are not able to participate. Fourth, as a result of the sample size or unreliable estimates, the prevalence for certain health indicators could not be obtained at certain MMSA and county levels. Finally, the data are self-reported and thus are subject to recall bias. Despite these limitations, BRFSS is a cost-effective, timely, and flexible survey that provides reliable estimates of health status, health-risk behaviors, chronic conditions, disabilities, and access to preventive services at national, state, and local levels. Although different national surveys have different data collection modes and sampling frames, the fact that there are overall similarities in the prevalence estimates between BRFSS and other national surveys supports the reliability of BRFSS data (113,114). BRFSS is the only timely source of data available to many states and communities to assess local health conditions and to track progress of health promotion programs and strategies accurately (115).
Conclusion
The results in this report indicate the importance of continuing efforts to increase health-care coverage, vaccination against influenza and pneumococcal diseases, and use of cancer prevention services as well as to improve oral health and to decrease health-risk behaviors at state and local levels. In addition, BRFSS data can be used to identify emerging public health problems, help implement health policies and prevention programs at different stakeholder levels, and continue to monitor health problems during the next decade as the country moves toward achieving HP 2020 objectives (116).
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TABLE 2. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95%CI) |
Grand Island, Nebraska |
858 |
83.9 |
1.8 |
(80.3–87.4) |
Grand Rapids-Wyoming, Michigan |
621 |
86.3 |
1.9 |
(82.5–90.0) |
Greensboro-High Point, North Carolina |
1,157 |
82.6 |
1.6 |
(79.4–85.7) |
Greenville, South Carolina |
772 |
84.5 |
1.7 |
(81.1–87.8) |
Hagerstown-Martinsburg, Maryland-West Virginia |
644 |
85.5 |
1.7 |
(82.1–88.8) |
Hartford-West Hartford-East Hartford, Connecticut |
1,996 |
88.3 |
0.9 |
(86.5–90.0) |
Hastings, Nebraska |
587 |
86.5 |
1.7 |
(83.1–89.8) |
Helena, Montana |
638 |
87.6 |
1.8 |
(84.0–91.1) |
Hickory-Morganton-Lenoir, North Carolina |
599 |
77.5 |
2.3 |
(72.9–82.0) |
Hilo, Hawaii |
1,480 |
85.1 |
1.2 |
(82.7–87.4) |
Hilton Head Island-Beaufort, South Carolina |
798 |
87.0 |
1.8 |
(83.4–90.5) |
Homosassa Springs, Florida |
532 |
79.0 |
2.2 |
(74.6–83.3) |
Honolulu, Hawaii |
2,957 |
86.1 |
0.8 |
(84.5–87.6) |
Houston-Sugar Land-Baytown, Texas |
2,735 |
83.5 |
1.3 |
(80.9–86.0) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
657 |
72.2 |
2.3 |
(67.6–76.7) |
Idaho Falls, Idaho |
666 |
87.1 |
1.5 |
(84.1–90.0) |
Indianapolis-Carmel, Indiana |
2,246 |
85.9 |
1.0 |
(83.9–87.8) |
Jackson, Mississippi |
758 |
79.3 |
1.8 |
(75.7–82.8) |
Jacksonville, Florida |
2,584 |
83.0 |
1.3 |
(80.4–85.5) |
Kahului-Wailuku, Hawaii |
1,466 |
86.7 |
1.3 |
(84.1–89.2) |
Kalispell, Montana |
699 |
85.4 |
2.0 |
(81.4–89.3) |
Kansas City, Missouri-Kansas |
3,377 |
87.2 |
0.9 |
(85.4–88.9) |
Kapaa, Hawaii |
645 |
83.9 |
1.9 |
(80.1–87.6) |
Kennewick-Richland-Pasco, Washington |
647 |
84.6 |
2.0 |
(80.6–88.5) |
Key West-Marathon, Florida |
505 |
87.3 |
1.7 |
(83.9–90.6) |
Kingsport-Bristol, Tennessee-Virginia |
650 |
76.4 |
2.6 |
(71.3–81.4) |
Knoxville, Tennessee |
530 |
82.9 |
2.2 |
(78.5–87.2) |
Lake City, Florida |
564 |
78.2 |
2.4 |
(73.4–82.9) |
Lakeland-Winter Haven, Florida |
519 |
80.6 |
2.3 |
(76.0–85.1) |
Laredo, Texas |
916 |
78.2 |
1.5 |
(75.2–81.1) |
Las Cruces, New Mexico |
502 |
76.6 |
2.8 |
(71.1–82.0) |
Las Vegas-Paradise, Nevada |
1,266 |
82.6 |
1.4 |
(79.8–85.3) |
Lebanon, New Hampshire-Vermont |
1,541 |
89.0 |
1.0 |
(87.0–90.9) |
Lewiston, Idaho-Washington |
601 |
82.0 |
1.9 |
(78.2–85.7) |
Lewiston-Auburn, Maine |
501 |
84.5 |
1.9 |
(80.7–88.2) |
Lincoln, Nebraska |
1,133 |
91.6 |
1.3 |
(89.0–94.1) |
Little Rock-North Little Rock, Arkansas |
820 |
83.5 |
1.9 |
(79.7–87.2) |
Los Angeles-Long Beach-Glendale, California† |
2,617 |
79.4 |
1.0 |
(77.4–81.3) |
Louisville, Kentucky-Indiana |
905 |
82.6 |
1.6 |
(79.4–85.7) |
Lubbock, Texas |
776 |
81.7 |
2.2 |
(77.3–86.0) |
Manchester-Nashua, New Hampshire |
1,401 |
89.8 |
1.0 |
(87.8–91.7) |
McAllen-Edinburg-Mission, Texas |
593 |
75.7 |
2.2 |
(71.3–80.0) |
Memphis, Tennessee-Mississippi-Arkansas |
1,155 |
81.8 |
1.7 |
(78.4–85.1) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,027 |
84.7 |
1.5 |
(81.7–87.6) |
Midland, Texas |
523 |
84.6 |
2.0 |
(80.6–88.5) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,530 |
84.3 |
1.5 |
(81.3–87.2) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
4,860 |
90.7 |
0.8 |
(89.1–92.2) |
Minot, North Dakota |
556 |
86.7 |
1.6 |
(83.5–89.8) |
Mobile, Alabama |
678 |
78.1 |
2.1 |
(73.9–82.2) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
554 |
84.5 |
2.0 |
(80.5–88.4) |
Naples-Marco Island, Florida |
520 |
81.9 |
3.2 |
(75.6–88.1) |
Nashville-Davidson-Murfreesboro, Tennessee |
830 |
87.5 |
1.3 |
(84.9–90.0) |
Nassau-Suffolk, New York† |
1,070 |
89.5 |
1.1 |
(87.3–91.6) |
Newark-Union, New Jersey-Pennsylvania† |
3,317 |
86.4 |
0.8 |
(84.8–87.9) |
New Haven-Milford, Connecticut |
1,656 |
88.5 |
1.0 |
(86.5–90.4) |
New Orleans-Metairie-Kenner, Louisiana |
1,534 |
80.5 |
1.3 |
(77.9–83.0) |
New York-White Plains-Wayne, New York-New Jersey† |
6,181 |
84.1 |
0.6 |
(82.9–85.2) |
Norfolk, Nebraska |
675 |
86.7 |
1.7 |
(83.3–90.0) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
578 1,132 |
84.8 87.7 |
1.8 1.1 |
(81.2–88.3) (85.5–89.8) |
Ocala, Florida |
588 |
76.9 |
2.5 |
(72.0–81.8) |
Ocean City, New Jersey |
519 |
85.9 |
1.7 |
(82.5–89.2) |
Ogden-Clearfield, Utah |
1,694 |
87.5 |
1.3 |
(84.9–90.0) |
TABLE 2. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95%CI) |
Oklahoma City, Oklahoma |
2,466 |
81.8 |
1.0 |
(79.8–83.7) |
Olympia, Washington |
775 |
89.3 |
1.2 |
(86.9–91.6) |
Omaha-Council Bluffs, Nebraska-Iowa |
2,357 |
89.3 |
0.8 |
(87.7–90.8) |
Orlando-Kissimmee, Florida |
2,670 |
82.1 |
1.1 |
(79.9–84.2) |
Palm Bay-Melbourne-Titusville, Florida |
527 |
82.0 |
2.3 |
(77.4–86.5) |
Panama City-Lynn Haven, Florida Peabody, Massachusetts |
544 2,131 |
85.2 86.6 |
1.8 1.4 |
(81.6–88.7) (83.8–89.3) |
Pensacola-Ferry Pass-Brent, Florida |
1,012 |
84.1 |
1.4 |
(81.3–86.8) |
Philadelphia, Pennsylvania† |
2,361 |
85.3 |
1.0 |
(83.3–87.2) |
Phoenix-Mesa-Scottsdale, Arizona |
1,650 |
86.9 |
1.2 |
(84.5–89.2) |
Pittsburgh, Pennsylvania |
2,420 |
85.3 |
0.9 |
(83.5–87.0) |
Portland-South Portland-Biddeford, Maine |
2,624 |
88.6 |
0.8 |
(87.0–90.1) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,394 |
86.4 |
0.8 |
(84.8–87.9) |
Port St. Lucie-Fort Pierce, Florida |
1,022 |
82.0 |
1.7 |
(78.6–85.3) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
9,381 |
86.6 |
0.5 |
(85.6–87.5) |
Provo-Orem, Utah |
1,177 |
91.8 |
1.0 |
(89.8–93.7) |
Raleigh-Cary, North Carolina |
1,025 |
90.2 |
1.1 |
(88.0–92.3) |
Rapid City, South Dakota |
848 |
90.3 |
1.1 |
(88.1–92.4) |
Reno-Sparks, Nevada |
1,326 |
84.7 |
1.4 |
(81.9–87.4) |
Richmond, Virginia |
801 |
90.1 |
1.3 |
(87.5–92.6) |
Riverside-San Bernardino-Ontario, California |
1,877 |
80.7 |
1.2 |
(78.3–83.0) |
Rochester, New York |
570 |
85.1 |
1.9 |
(81.3–88.8) |
Rockingham County-Strafford County, New Hampshire¶ |
1,590 |
89.8 |
0.8 |
(88.2–91.3) |
Rutland, Vermont |
657 |
87.1 |
1.6 |
(83.9–90.2) |
Sacramento-Arden-Arcade-Roseville, California |
1,293 |
86.9 |
1.1 |
(84.7–89.0) |
St. Louis, Missouri-Illinois |
1,749 |
86.4 |
1.2 |
(84.0–88.7) |
Salt Lake City, Utah |
4,308 |
87.7 |
0.6 |
(86.5–88.8) |
San Antonio, Texas |
1,123 |
83.9 |
1.5 |
(80.9–86.8) |
San Diego-Carlsbad-San Marcos, California |
1,695 |
85.6 |
1.1 |
(83.4–87.7) |
San Francisco-Oakland-Fremont, California |
2,354 |
85.4 |
1.0 |
(83.4–87.3) |
San Jose-Sunnyvale-Santa Clara, California |
912 |
85.2 |
1.6 |
(82.0–88.3) |
Santa Ana-Anaheim-Irvine, California† |
1,445 |
84.5 |
1.3 |
(81.9–87.0) |
Santa Fe, New Mexico |
610 |
84.8 |
2.1 |
(80.6–88.9) |
Scottsbluff, Nebraska |
755 |
85.5 |
1.7 |
(82.1–88.8) |
Scranton-Wilkes-Barre, Pennsylvania |
553 |
82.1 |
2.0 |
(78.1–86.0) |
Seaford, Delaware |
1,239 |
86.3 |
1.2 |
(83.9–88.6) |
Seattle-Bellevue-Everett, Washington† |
4,691 |
88.6 |
0.6 |
(87.4–89.7) |
Sebring, Florida |
520 |
75.0 |
3.0 |
(69.1–80.8) |
Shreveport-Bossier City, Louisiana |
679 |
79.3 |
1.9 |
(75.5–83.0) |
Sioux City, Iowa-Nebraska-South Dakota |
1,220 |
87.3 |
1.7 |
(83.9–90.6) |
Sioux Falls, South Dakota |
838 |
91.7 |
1.1 |
(89.5–93.8) |
Spokane, Washington |
1,214 |
86.2 |
1.3 |
(83.6–88.7) |
Springfield, Massachusetts |
2,052 |
88.2 |
1.0 |
(86.2–90.1) |
Tacoma, Washington† |
1,719 |
84.2 |
1.2 |
(81.8–86.5) |
Tallahassee, Florida |
2,038 |
83.9 |
1.8 |
(80.3–87.4) |
Tampa-St. Petersburg-Clearwater, Florida |
2,025 |
82.8 |
1.2 |
(80.4–85.1) |
Toledo, Ohio |
862 |
83.5 |
1.8 |
(79.9–87.0) |
Topeka, Kansas |
835 |
83.9 |
1.5 |
(80.9–86.8) |
Trenton-Ewing, New Jersey |
503 |
87.0 |
1.9 |
(83.2–90.7) |
Tucson, Arizona |
687 |
84.4 |
1.9 |
(80.6–88.1) |
Tulsa, Oklahoma |
2,136 |
79.5 |
1.1 |
(77.3–81.6) |
Tuscaloosa, Alabama |
518 |
81.7 |
2.4 |
(76.9–86.4) |
Twin Falls, Idaho |
536 |
85.2 |
2.4 |
(80.4–89.9) |
Tyler, Texas |
672 |
85.7 |
1.6 |
(82.5–88.8) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,101 |
85.6 |
1.8 |
(82.0–89.1) |
Warren-Troy-Farmington Hills, Michigan† |
1,798 |
89.1 |
0.9 |
(87.3–90.8) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia† |
6,379 |
88.4 |
0.9 |
(86.6–90.1) |
Wauchula, Florida |
526 |
76.2 |
3.2 |
(69.9–82.4) |
West Palm Beach-Boca Raton-Boynton Beach, Florida† |
553 |
85.0 |
2.0 |
(81.0–88.9) |
Wichita, Kansas |
1,849 |
85.4 |
1.2 |
(83.0–87.7) |
Wichita Falls, Texas |
824 |
80.9 |
2.0 |
(76.9–84.8) |
Wilmington, Delaware-Maryland-New Jersey† |
2,214 |
86.6 |
0.9 |
(84.8–88.3) |
TABLE 2. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95%CI) |
Worcester, Massachusetts |
2,098 |
87.7 |
1.1 |
(85.5–89.8) |
Yakima, Washington |
739 |
78.9 |
1.9 |
(75.1–82.6) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,060 |
83.8 |
1.8 |
(80.2–87.3) |
Median |
85.2 |
|||
Range |
72.2–92.1 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Respondents were asked to rate general health as poor, fair, good, very good, or excellent. Respondents were classified into two groups: those who reported fair or poor health and those with good, very good, or excellent health. † Metropolitan division. |
TABLE 3. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Nassau County, Florida |
520 |
83.2 |
2.5 |
(78.3–88.1) |
Orange County, Florida |
1,007 |
81.5 |
1.8 |
(77.9–85.0) |
Osceola County, Florida |
570 |
80.4 |
2.6 |
(75.3–85.4) |
Palm Beach County, Florida |
553 |
85.0 |
2.0 |
(81.0–88.9) |
Pasco County, Florida |
540 |
81.0 |
2.2 |
(76.6–85.3) |
Pinellas County, Florida |
495 |
84.6 |
1.8 |
(81.0–88.1) |
Polk County, Florida |
519 |
80.6 |
2.3 |
(76.0–85.1) |
St. Johns County, Florida |
521 |
87.7 |
1.7 |
(84.3–91.0) |
St. Lucie County, Florida |
502 |
79.1 |
2.3 |
(74.5–83.6) |
Santa Rosa County, Florida |
492 |
83.7 |
2.0 |
(79.7–87.6) |
Sarasota County, Florida |
608 |
88.2 |
1.6 |
(85.0–91.3) |
Seminole County, Florida |
489 |
83.7 |
2.3 |
(79.1–88.2) |
Volusia County, Florida |
859 |
78.9 |
2.1 |
(74.7–83.0) |
Wakulla County, Florida |
536 |
78.4 |
3.0 |
(72.5–84.2) |
Cobb County, Georgia |
253 |
85.3 |
2.7 |
(80.0–90.5) |
DeKalb County, Georgia |
341 |
88.5 |
1.9 |
(84.7–92.2) |
Fulton County, Georgia |
330 |
93.6 |
1.3 |
(91.0–96.1) |
Gwinnett County, Georgia |
251 |
89.5 |
2.2 |
(85.1–93.8) |
Hawaii County, Hawaii |
1,480 |
85.1 |
1.2 |
(82.7–87.4) |
Honolulu County, Hawaii |
2,957 |
86.1 |
0.8 |
(84.5–87.6) |
Kauai County, Hawaii |
645 |
83.9 |
1.9 |
(80.1–87.6) |
Maui County, Hawaii |
1,466 |
86.7 |
1.3 |
(84.1–89.2) |
Ada County, Idaho |
865 |
88.4 |
1.3 |
(85.8–90.9) |
Bonneville County, Idaho |
522 |
86.8 |
1.7 |
(83.4–90.1) |
Canyon County, Idaho |
619 |
79.1 |
2.1 |
(74.9–83.2) |
Kootenai County, Idaho |
568 |
87.5 |
1.8 |
(83.9–91.0) |
Nez Perce County, Idaho |
381 |
82.1 |
2.2 |
(77.7–86.4) |
Twin Falls County, Idaho |
430 |
84.4 |
2.6 |
(79.3–89.4) |
Cook County, Illinois |
2,883 |
82.9 |
1.0 |
(80.9–84.8) |
DuPage County, Illinois |
256 |
89.6 |
2.2 |
(85.2–93.9) |
Allen County, Indiana |
585 |
83.7 |
2.0 |
(79.7–87.6) |
Lake County, Indiana |
997 |
79.7 |
2.1 |
(75.5–83.8) |
Marion County, Indiana |
1,459 |
82.1 |
1.6 |
(78.9–85.2) |
Linn County, Iowa |
494 |
90.1 |
1.5 |
(87.1–93.0) |
Polk County, Iowa |
766 |
91.5 |
1.0 |
(89.5–93.4) |
Johnson County, Kansas |
1,415 |
92.5 |
0.7 |
(91.1–93.8) |
Sedgwick County, Kansas |
1,436 |
85.0 |
1.3 |
(82.4–87.5) |
Shawnee County, Kansas |
623 |
82.9 |
1.9 |
(79.1–86.6) |
Wyandotte County, Kansas |
605 |
80.4 |
2.2 |
(76.0–84.7) |
Jefferson County, Kentucky |
409 |
81.9 |
2.3 |
(77.3–86.4) |
Caddo Parish, Louisiana |
443 |
78.4 |
2.3 |
(73.8–82.9) |
East Baton Rouge Parish, Louisiana |
719 |
80.4 |
2.1 |
(76.2–84.5) |
Jefferson Parish, Louisiana |
594 |
76.1 |
2.4 |
(71.3–80.8) |
Orleans Parish, Louisiana |
376 |
82.1 |
2.3 |
(77.5–86.6) |
St. Tammany Parish, Louisiana |
371 |
84.9 |
2.3 |
(80.3–89.4) |
Androscoggin County, Maine |
501 |
84.5 |
1.9 |
(80.7–88.2) |
Cumberland County, Maine |
1,388 |
90.0 |
1.1 |
(87.8–92.1) |
Kennebec County, Maine |
653 |
86.7 |
1.8 |
(83.1–90.2) |
Penobscot County, Maine |
687 |
83.7 |
1.7 |
(80.3–87.0) |
Sagadahoc County, Maine |
298 |
85.6 |
2.3 |
(81.0–90.1) |
York County, Maine |
938 |
87.2 |
1.4 |
(84.4–89.9) |
Anne Arundel County, Maryland |
602 |
89.2 |
1.5 |
(86.2–92.1) |
Baltimore County, Maryland |
1,052 |
86.2 |
1.2 |
(83.8–88.5) |
Cecil County, Maryland |
267 |
86.5 |
2.3 |
(81.9–91.0) |
Charles County, Maryland |
349 |
88.3 |
1.8 |
(84.7–91.8) |
Frederick County, Maryland |
574 |
89.7 |
1.6 |
(86.5–92.8) |
Harford County, Maryland |
279 |
83.9 |
2.8 |
(78.4–89.3) |
Howard County, Maryland |
341 |
88.9 |
2.3 |
(84.3–93.4) |
Montgomery County, Maryland |
1,060 |
91.2 |
1.0 |
(89.2–93.1) |
Prince George´s County, Maryland |
795 |
85.9 |
1.6 |
(82.7–89.0) |
Queen Anne´s County, Maryland |
295 |
91.1 |
1.6 |
(87.9–94.2) |
Washington County, Maryland |
407 |
84.8 |
1.9 |
(81.0–88.5) |
Baltimore city, Maryland |
533 |
82.8 |
2.2 |
(78.4–87.1) |
Bristol County, Massachusetts |
2,918 |
85.0 |
1.1 |
(82.8–87.1) |
TABLE 3. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Essex County, Massachusetts |
2,131 |
87.6 |
1.3 |
(85.0–90.1) |
Hampden County, Massachusetts |
1,593 |
86.0 |
1.3 |
(83.4–88.5) |
Hampshire County, Massachusetts |
275 |
93.0 |
1.7 |
(89.6–96.3) |
Middlesex County, Massachusetts |
3,015 |
92.2 |
0.6 |
(91.0–93.3) |
Norfolk County, Massachusetts |
860 |
92.2 |
1.0 |
(90.2–94.1) |
Plymouth County, Massachusetts |
687 |
91.5 |
1.1 |
(89.3–93.6) |
Suffolk County, Massachusetts |
1,758 |
85.8 |
1.4 |
(83.0–88.5) |
Worcester County, Massachusetts |
2,098 |
87.7 |
1.1 |
(85.5–89.8) |
Kent County, Michigan |
444 |
89.8 |
1.7 |
(86.4–93.1) |
Macomb County, Michigan |
514 |
87.2 |
1.6 |
(84.0–90.3) |
Oakland County, Michigan |
936 |
90.9 |
1.1 |
(88.7–93.0) |
Wayne County, Michigan |
1,909 |
81.5 |
1.4 |
(78.7–84.2) |
Anoka County, Minnesota |
396 |
88.7 |
2.2 |
(84.3–93.0) |
Dakota County, Minnesota |
570 |
91.0 |
1.6 |
(87.8–94.1) |
Hennepin County, Minnesota |
2,049 |
93.3 |
0.9 |
(91.5–95.0) |
Ramsey County, Minnesota |
919 |
87.1 |
2.4 |
(82.3–91.8) |
Washington County, Minnesota |
258 |
91.0 |
2.3 |
(86.4–95.5) |
DeSoto County, Mississippi |
369 |
82.8 |
2.5 |
(77.9–87.7) |
Hinds County, Mississippi |
339 |
72.8 |
3.5 |
(65.9–79.6) |
Jackson County, Missouri |
525 |
86.0 |
1.9 |
(82.2–89.7) |
St. Louis County, Missouri |
605 |
84.7 |
2.7 |
(79.4–89.9) |
St. Louis city, Missouri |
645 |
83.7 |
1.8 |
(80.1–87.2) |
Flathead County, Montana |
699 |
85.4 |
2.0 |
(81.4–89.3) |
Lewis and Clark County, Montana |
529 |
88.3 |
1.5 |
(85.3–91.2) |
Yellowstone County, Montana |
485 |
86.0 |
2.1 |
(81.8–90.1) |
Adams County, Nebraska |
478 |
85.8 |
1.9 |
(82.0–89.5) |
Dakota County, Nebraska |
741 |
78.0 |
2.0 |
(74.0–81.9) |
Douglas County, Nebraska |
950 |
88.5 |
1.3 |
(85.9–91.0) |
Hall County, Nebraska |
583 |
84.0 |
2.1 |
(79.8–88.1) |
Lancaster County, Nebraska |
849 |
91.6 |
1.4 |
(88.8–94.3) |
Lincoln County, Nebraska |
546 |
84.2 |
2.0 |
(80.2–88.1) |
Madison County, Nebraska |
467 |
88.3 |
1.7 |
(84.9–91.6) |
Sarpy County, Nebraska |
579 |
91.0 |
1.5 |
(88.0–93.9) |
Scotts Bluff County, Nebraska |
732 |
85.8 |
1.6 |
(82.6–88.9) |
Seward County, Nebraska |
284 |
89.5 |
2.2 |
(85.1–93.8) |
Clark County, Nevada |
1,266 |
82.6 |
1.4 |
(79.8–85.3) |
Washoe County, Nevada |
1,306 |
84.7 |
1.4 |
(81.9–87.4) |
Grafton County, New Hampshire |
502 |
89.3 |
1.6 |
(86.1–92.4) |
Hillsborough County, New Hampshire |
1,401 |
89.8 |
1.0 |
(87.8–91.7) |
Merrimack County, New Hampshire |
628 |
89.0 |
1.6 |
(85.8–92.1) |
Rockingham County, New Hampshire |
1,008 |
91.1 |
0.9 |
(89.3–92.8) |
Strafford County, New Hampshire |
582 |
86.9 |
1.5 |
(83.9–89.8) |
Atlantic County, New Jersey |
915 |
79.9 |
1.8 |
(76.3–83.4) |
Bergen County, New Jersey |
626 |
87.5 |
1.6 |
(84.3–90.6) |
Burlington County, New Jersey |
568 |
87.6 |
1.5 |
(84.6–90.5) |
Camden County, New Jersey |
605 |
83.3 |
2.0 |
(79.3–87.2) |
Cape May County, New Jersey |
519 |
85.9 |
1.7 |
(82.5–89.2) |
Essex County, New Jersey |
1,019 |
81.8 |
1.5 |
(78.8–84.7) |
Gloucester County, New Jersey |
527 |
86.3 |
2.1 |
(82.1–90.4) |
Hudson County, New Jersey |
1,094 |
80.3 |
1.5 |
(77.3–83.2) |
Hunterdon County, New Jersey |
514 |
93.5 |
1.2 |
(91.1–95.8) |
Mercer County, New Jersey |
503 |
87.0 |
1.9 |
(83.2–90.7) |
Middlesex County, New Jersey |
632 |
85.9 |
1.7 |
(82.5–89.2) |
Monmouth County, New Jersey |
562 |
89.5 |
1.7 |
(86.1–92.8) |
Morris County, New Jersey |
700 |
91.5 |
1.2 |
(89.1–93.8) |
Ocean County, New Jersey |
536 |
83.4 |
1.8 |
(79.8–86.9) |
Passaic County, New Jersey |
502 |
83.2 |
2.2 |
(78.8–87.5) |
Somerset County, New Jersey |
536 |
90.8 |
1.5 |
(87.8–93.7) |
Sussex County, New Jersey |
502 |
88.9 |
1.6 |
(85.7–92.0) |
Union County, New Jersey |
522 |
84.7 |
1.9 |
(80.9–88.4) |
Warren County, New Jersey |
479 |
88.7 |
1.6 |
(85.5–91.8) |
Bernalillo County, New Mexico |
1,263 |
83.4 |
1.4 |
(80.6–86.1) |
Dona Ana County, New Mexico |
502 |
76.6 |
2.8 |
(71.1–82.0) |
Sandoval County, New Mexico |
521 |
87.7 |
1.6 |
(84.5–90.8) |
TABLE 3. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
San Juan County, New Mexico |
685 |
84.7 |
1.9 |
(80.9–88.4) |
Santa Fe County, New Mexico |
610 |
84.8 |
2.1 |
(80.6–88.9) |
Valencia County, New Mexico |
350 |
76.7 |
3.1 |
(70.6–82.7) |
Bronx County, New York |
434 |
78.6 |
2.4 |
(73.8–83.3) |
Erie County, New York |
477 |
84.8 |
2.2 |
(80.4–89.1) |
Kings County, New York |
909 |
80.7 |
1.8 |
(77.1–84.2) |
Monroe County, New York |
384 |
85.5 |
2.2 |
(81.1–89.8) |
Nassau County, New York |
478 |
90.4 |
1.4 |
(87.6–93.1) |
New York County, New York |
1,035 |
85.2 |
1.5 |
(82.2–88.1) |
Queens County, New York |
797 |
83.4 |
1.8 |
(79.8–86.9) |
Suffolk County, New York |
592 |
89.7 |
1.6 |
(86.5–92.8) |
Westchester County, New York |
384 |
92.4 |
1.5 |
(89.4–95.3) |
Buncombe County, North Carolina |
263 |
84.7 |
2.5 |
(79.8–89.6) |
Cabarrus County, North Carolina |
307 |
86.7 |
2.3 |
(82.1–91.2) |
Catawba County, North Carolina |
294 |
82.4 |
3.2 |
(76.1–88.6) |
Durham County, North Carolina |
618 |
90.0 |
1.5 |
(87.0–92.9) |
Gaston County, North Carolina |
266 |
81.2 |
3.5 |
(74.3–88.0) |
Guilford County, North Carolina |
694 |
86.9 |
1.5 |
(83.9–89.8) |
Johnston County, North Carolina |
274 |
80.7 |
3.1 |
(74.6–86.7) |
Mecklenburg County, North Carolina |
605 |
85.2 |
1.7 |
(81.8–88.5) |
Orange County, North Carolina |
298 |
89.4 |
2.1 |
(85.2–93.5) |
Randolph County, North Carolina |
395 |
79.7 |
2.5 |
(74.8–84.6) |
Union County, North Carolina |
346 |
84.2 |
3.2 |
(77.9–90.4) |
Wake County, North Carolina |
712 |
92.5 |
1.0 |
(90.5–94.4) |
Burleigh County, North Dakota |
559 |
87.4 |
1.5 |
(84.4–90.3) |
Cass County, North Dakota |
779 |
89.8 |
1.5 |
(86.8–92.7) |
Ward County, North Dakota |
466 |
87.3 |
1.7 |
(83.9–90.6) |
Cuyahoga County, Ohio |
720 |
84.9 |
1.7 |
(81.5–88.2) |
Franklin County, Ohio |
679 |
84.5 |
1.7 |
(81.1–87.8) |
Hamilton County, Ohio |
725 |
87.0 |
1.4 |
(84.2–89.7) |
Lucas County, Ohio |
728 |
83.4 |
1.7 |
(80.0–86.7) |
Mahoning County, Ohio |
728 |
83.7 |
1.7 |
(80.3–87.0) |
Montgomery County, Ohio |
701 |
83.9 |
1.8 |
(80.3–87.4) |
Stark County, Ohio |
714 |
84.6 |
1.5 |
(81.6–87.5) |
Summit County, Ohio |
703 |
84.1 |
1.8 |
(80.5–87.6) |
Cleveland County, Oklahoma |
433 |
87.1 |
1.9 |
(83.3–90.8) |
Oklahoma County, Oklahoma |
1,432 |
79.8 |
1.3 |
(77.2–82.3) |
Tulsa County, Oklahoma |
1,517 |
80.9 |
1.2 |
(78.5–83.2) |
Clackamas County, Oregon |
448 |
85.6 |
2.1 |
(81.4–89.7) |
Lane County, Oregon |
511 |
83.4 |
2.1 |
(79.2–87.5) |
Multnomah County, Oregon |
816 |
85.5 |
1.5 |
(82.5–88.4) |
Washington County, Oregon |
584 |
89.0 |
1.5 |
(86.0–91.9) |
Allegheny County, Pennsylvania |
1,379 |
86.8 |
1.0 |
(84.8–88.7) |
Lehigh County, Pennsylvania |
282 |
83.1 |
2.5 |
(78.2–88.0) |
Luzerne County, Pennsylvania |
311 |
82.9 |
2.4 |
(78.1–87.6) |
Montgomery County, Pennsylvania |
344 |
88.1 |
2.3 |
(83.5–92.6) |
Northampton County, Pennsylvania |
260 |
88.4 |
2.3 |
(83.8–92.9) |
Philadelphia County, Pennsylvania |
1,399 |
78.4 |
1.4 |
(75.6–81.1) |
Westmoreland County, Pennsylvania |
338 |
85.5 |
2.5 |
(80.6–90.4) |
Bristol County, Rhode Island |
274 |
93.9 |
1.3 |
(91.3–96.4) |
Kent County, Rhode Island |
922 |
85.9 |
1.4 |
(83.1–88.6) |
Newport County, Rhode Island |
477 |
91.8 |
1.5 |
(88.8–94.7) |
Providence County, Rhode Island |
4,055 |
85.2 |
0.7 |
(83.8–86.5) |
Washington County, Rhode Island |
735 |
91.1 |
1.5 |
(88.1–94.0) |
Aiken County, South Carolina |
474 |
82.6 |
2.1 |
(78.4–86.7) |
Beaufort County, South Carolina |
677 |
87.6 |
1.9 |
(83.8–91.3) |
Berkeley County, South Carolina |
354 |
81.3 |
4.2 |
(73.0–89.5) |
Charleston County, South Carolina |
668 |
86.6 |
2.1 |
(82.4–90.7) |
Greenville County, South Carolina |
492 |
85.3 |
2.1 |
(81.1–89.4) |
Horry County, South Carolina |
554 |
84.5 |
2.0 |
(80.5–88.4) |
Richland County, South Carolina |
665 |
84.4 |
1.9 |
(80.6–88.1) |
Minnehaha County, South Dakota |
604 |
91.1 |
1.3 |
(88.5–93.6) |
Pennington County, South Dakota |
667 |
90.4 |
1.2 |
(88.0–92.7) |
Davidson County, Tennessee |
418 |
87.5 |
1.9 |
(83.7–91.2) |
TABLE 3. (Continued) Estimated prevalence of adults aged ≥18 years who reported good or better health,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Hamilton County, Tennessee |
385 |
81.2 |
2.7 |
(75.9–86.4) |
Knox County, Tennessee |
370 |
82.6 |
2.8 |
(77.1–88.0) |
Shelby County, Tennessee |
393 |
84.4 |
2.4 |
(79.6–89.1) |
Sullivan County, Tennessee |
458 |
78.6 |
2.7 |
(73.3–83.8) |
Bexar County, Texas |
964 |
83.4 |
1.7 |
(80.0–86.7) |
Dallas County, Texas |
391 |
85.1 |
2.3 |
(80.5–89.6) |
El Paso County, Texas |
868 |
77.2 |
1.8 |
(73.6–80.7) |
Fort Bend County, Texas |
926 |
90.5 |
1.2 |
(88.1–92.8) |
Harris County, Texas |
1,455 |
82.1 |
1.4 |
(79.3–84.8) |
Hidalgo County, Texas |
593 |
75.7 |
2.2 |
(71.3–80.0) |
Lubbock County, Texas |
752 |
83.0 |
1.8 |
(79.4–86.5) |
Midland County, Texas |
523 |
84.6 |
2.0 |
(80.6–88.5) |
Potter County, Texas |
336 |
79.5 |
2.7 |
(74.2–84.7) |
Randall County, Texas |
460 |
86.0 |
2.0 |
(82.0–89.9) |
Smith County, Texas |
672 |
85.7 |
1.6 |
(82.5–88.8) |
Tarrant County, Texas |
602 |
86.7 |
1.7 |
(83.3–90.0) |
Travis County, Texas |
759 |
85.9 |
3.8 |
(78.4–93.3) |
Val Verde County, Texas |
557 |
77.5 |
3.5 |
(70.6–84.3) |
Webb County, Texas |
916 |
78.2 |
1.5 |
(75.2–81.1) |
Wichita County, Texas |
673 |
80.9 |
2.2 |
(76.5–85.2) |
Davis County, Utah |
875 |
88.6 |
1.8 |
(85.0–92.1) |
Salt Lake County, Utah |
3,285 |
87.3 |
0.7 |
(85.9–88.6) |
Summit County, Utah |
453 |
94.4 |
1.2 |
(92.0–96.7) |
Tooele County, Utah |
570 |
88.9 |
1.5 |
(85.9–91.8) |
Utah County, Utah |
1,114 |
92.0 |
1.0 |
(90.0–93.9) |
Weber County, Utah |
774 |
85.6 |
1.7 |
(82.2–88.9) |
Chittenden County, Vermont |
1,428 |
92.3 |
0.9 |
(90.5–94.0) |
Franklin County, Vermont |
483 |
87.5 |
1.6 |
(84.3–90.6) |
Orange County, Vermont |
358 |
89.3 |
1.8 |
(85.7–92.8) |
Rutland County, Vermont |
657 |
87.1 |
1.6 |
(83.9–90.2) |
Washington County, Vermont |
669 |
90.5 |
1.2 |
(88.1–92.8) |
Windsor County, Vermont |
681 |
88.6 |
1.3 |
(86.0–91.1) |
Benton County, Washington |
393 |
86.3 |
2.0 |
(82.3–90.2) |
Clark County, Washington |
1,090 |
86.0 |
1.6 |
(82.8–89.1) |
Franklin County, Washington |
254 |
78.8 |
4.2 |
(70.5–87.0) |
King County, Washington |
3,039 |
89.5 |
0.7 |
(88.1–90.8) |
Kitsap County, Washington |
920 |
88.8 |
1.3 |
(86.2–91.3) |
Pierce County, Washington |
1,719 |
85.3 |
1.0 |
(83.3–87.2) |
Snohomish County, Washington |
1,652 |
88.0 |
0.9 |
(86.2–89.7) |
Spokane County, Washington |
1,214 |
86.2 |
1.3 |
(83.6–88.7) |
Thurston County, Washington |
775 |
89.3 |
1.2 |
(86.9–91.6) |
Yakima County, Washington |
739 |
78.9 |
1.9 |
(75.1–82.6) |
Kanawha County, West Virginia |
489 |
77.7 |
2.5 |
(72.8–82.6) |
Milwaukee County, Wisconsin |
1,216 |
82.3 |
2.0 |
(78.3–86.2) |
Laramie County, Wyoming |
914 |
85.1 |
1.5 |
(82.1–88.0) |
Natrona County, Wyoming |
767 |
85.6 |
1.6 |
(82.4–88.7) |
Median |
85.6 |
|||
Range |
72.8–95.8 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Respondents were asked to rate general health as poor, fair, good, very good, or excellent. Respondents were classified into two groups: those who reported fair or poor health and those with good, very good, or excellent health. |
TABLE 5. (Continued) Estimated prevalence of adults aged ≥18 years who have health-care coverage,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
953 |
84.8 |
2.7 |
(79.5–90.0) |
Grand Island, Nebraska |
859 |
85.8 |
2.0 |
(81.8–89.7) |
Grand Rapids-Wyoming, Michigan |
619 |
89.8 |
1.7 |
(86.4–93.1) |
Greensboro-High Point, North Carolina |
1,157 |
86.4 |
1.7 |
(83.0–89.7) |
Greenville, South Carolina |
779 |
82.9 |
3.1 |
(76.8–88.9) |
Hagerstown-Martinsburg, Maryland-West Virginia |
644 |
84.0 |
2.6 |
(78.9–89.0) |
Hartford-West Hartford-East Hartford, Connecticut |
2,019 |
90.0 |
1.3 |
(87.4–92.5) |
Hastings, Nebraska |
589 |
91.3 |
1.8 |
(87.7–94.8) |
Helena, Montana |
642 |
89.3 |
2.0 |
(85.3–93.2) |
Hickory-Morganton-Lenoir, North Carolina |
597 |
78.1 |
2.6 |
(73.0–83.1) |
Hilo, Hawaii |
1,479 |
91.4 |
1.2 |
(89.0–93.7) |
Hilton Head Island-Beaufort, South Carolina |
803 |
87.4 |
2.0 |
(83.4–91.3) |
Homosassa Springs, Florida |
535 |
79.7 |
2.8 |
(74.2–85.1) |
Honolulu, Hawaii |
2,958 |
93.9 |
0.8 |
(92.3–95.4) |
Houston-Sugar Land-Baytown, Texas |
2,735 |
75.9 |
1.6 |
(72.7–79.0) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
657 |
84.2 |
2.1 |
(80.0–88.3) |
Idaho Falls, Idaho |
665 |
83.7 |
2.1 |
(79.5–87.8) |
Indianapolis-Carmel, Indiana |
2,252 |
86.5 |
1.3 |
(83.9–89.0) |
Jackson, Mississippi |
759 |
84.1 |
2.0 |
(80.1–88.0) |
Jacksonville, Florida |
2,583 |
85.4 |
1.8 |
(81.8–88.9) |
Kahului-Wailuku, Hawaii |
1,462 |
92.5 |
1.1 |
(90.3–94.6) |
Kalispell, Montana |
698 |
81.1 |
2.0 |
(77.1–85.0) |
Kansas City, Missouri-Kansas |
3,378 |
87.5 |
1.0 |
(85.5–89.4) |
Kapaa, Hawaii |
645 |
90.7 |
2.0 |
(86.7–94.6) |
Kennewick-Richland-Pasco, Washington |
645 |
82.9 |
2.1 |
(78.7–87.0) |
Key West-Marathon, Florida |
503 |
77.9 |
3.2 |
(71.6–84.1) |
Kingsport-Bristol, Tennessee-Virginia |
655 |
83.2 |
3.5 |
(76.3–90.0) |
Knoxville, Tennessee |
529 |
83.8 |
2.6 |
(78.7–88.8) |
Lake City, Florida |
565 |
77.6 |
2.9 |
(71.9–83.2) |
Lakeland-Winter Haven, Florida |
522 |
76.2 |
3.0 |
(70.3–82.0) |
Laredo, Texas |
924 |
51.2 |
2.2 |
(46.8–55.5) |
Las Cruces, New Mexico |
503 |
72.9 |
3.5 |
(66.0–79.7) |
Las Vegas-Paradise, Nevada |
1,270 |
80.3 |
1.8 |
(76.7–83.8) |
Lebanon, New Hampshire-Vermont |
1,551 |
87.0 |
1.4 |
(84.2–89.7) |
Lewiston, Idaho-Washington |
602 |
85.9 |
2.5 |
(81.0–90.8) |
Lewiston-Auburn, Maine |
500 |
88.8 |
2.0 |
(84.8–92.7) |
Lincoln, Nebraska |
1,132 |
86.9 |
2.1 |
(82.7–91.0) |
Little Rock-North Little Rock, Arkansas |
822 |
86.6 |
2.2 |
(82.2–90.9) |
Los Angeles-Long Beach-Glendale, California† |
2,614 |
77.3 |
1.2 |
(74.9–79.6) |
Louisville, Kentucky-Indiana |
908 |
86.3 |
1.8 |
(82.7–89.8) |
Lubbock, Texas |
776 |
77.7 |
2.8 |
(72.2–83.1) |
Manchester-Nashua, New Hampshire |
1,421 |
90.1 |
1.3 |
(87.5–92.6) |
McAllen-Edinburg-Mission, Texas |
595 |
45.7 |
2.8 |
(40.2–51.1) |
Memphis, Tennessee-Mississippi-Arkansas |
1,155 |
82.4 |
2.8 |
(76.9–87.8) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,029 |
76.5 |
2.2 |
(72.1–80.8) |
Midland, Texas |
524 |
84.5 |
2.4 |
(79.7–89.2) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,527 |
90.3 |
1.6 |
(87.1–93.4) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
4,859 |
91.0 |
1.1 |
(88.8–93.1) |
Minot, North Dakota |
553 |
91.5 |
1.5 |
(88.5–94.4) |
Mobile, Alabama |
675 |
76.8 |
2.9 |
(71.1–82.4) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
555 |
77.0 |
3.0 |
(71.1–82.8) |
Naples-Marco Island, Florida |
519 |
80.7 |
3.6 |
(73.6–87.7) |
Nashville-Davidson-Murfreesboro, Tennessee |
830 |
86.0 |
2.2 |
(81.6–90.3) |
Nassau-Suffolk, New York† |
1,071 |
90.6 |
1.4 |
(87.8–93.3) |
Newark-Union, New Jersey-Pennsylvania† |
3,317 |
85.9 |
1.2 |
(83.5–88.2) |
New Haven-Milford, Connecticut |
1,669 |
90.2 |
1.3 |
(87.6–92.7) |
New Orleans-Metairie-Kenner, Louisiana |
1,537 |
79.7 |
1.8 |
(76.1–83.2) |
New York-White Plains-Wayne, New York-New Jersey† |
6,177 |
85.6 |
0.8 |
(84.0–87.1) |
Norfolk, Nebraska |
675 |
90.1 |
1.8 |
(86.5–93.6) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
577 1,134 |
90.3 81.9 |
1.9 2.3 |
(86.5–94.0) (77.3–86.4) |
Ocala, Florida |
589 |
80.3 |
2.8 |
(74.8–85.7) |
Ocean City, New Jersey |
519 |
88.2 |
2.4 |
(83.4–92.9) |
TABLE 5. (Continued) Estimated prevalence of adults aged ≥18 years who have health-care coverage,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
1,696 |
86.8 |
1.6 |
(83.6–89.9) |
Oklahoma City, Oklahoma |
2,473 |
79.9 |
1.2 |
(77.5–82.2) |
Olympia, Washington |
773 |
85.7 |
2.2 |
(81.3–90.0) |
Omaha-Council Bluffs, Nebraska-Iowa |
2,350 |
85.6 |
1.4 |
(82.8–88.3) |
Orlando-Kissimmee, Florida |
2,667 |
81.5 |
1.3 |
(78.9–84.0) |
Palm Bay-Melbourne-Titusville, Florida |
527 |
82.4 |
3.1 |
(76.3–88.4) |
Panama City-Lynn Haven, Florida |
543 |
84.1 |
2.4 |
(79.3–88.8) |
Peabody, Massachusetts |
2,134 |
93.7 |
1.5 |
(90.7–96.6) |
Pensacola-Ferry Pass-Brent, Florida |
1,014 |
82.2 |
2.1 |
(78.0–86.3) |
Philadelphia, Pennsylvania† |
2,365 |
87.1 |
1.3 |
(84.5–89.6) |
Phoenix-Mesa-Scottsdale, Arizona |
1,687 |
87.2 |
1.4 |
(84.4–89.9) |
Pittsburgh, Pennsylvania |
2,417 |
89.1 |
1.1 |
(86.9–91.2) |
Portland-South Portland-Biddeford, Maine |
2,626 |
90.6 |
0.9 |
(88.8–92.3) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,395 |
86.1 |
1.2 |
(83.7–88.4) |
Port St. Lucie-Fort Pierce, Florida |
1,023 |
80.3 |
2.4 |
(75.5–85.0) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
9,517 |
89.7 |
0.7 |
(88.3–91.0) |
Provo-Orem, Utah |
1,173 |
85.5 |
1.8 |
(81.9–89.0) |
Raleigh-Cary, North Carolina |
1,024 |
86.1 |
1.7 |
(82.7–89.4) |
Rapid City, South Dakota |
846 |
88.2 |
1.6 |
(85.0–91.3) |
Reno-Sparks, Nevada |
1,326 |
82.4 |
1.5 |
(79.4–85.3) |
Richmond, Virginia |
800 |
87.2 |
2.2 |
(82.8–91.5) |
Riverside-San Bernardino-Ontario, California |
1,879 |
76.6 |
1.5 |
(73.6–79.5) |
Rochester, New York |
566 |
90.9 |
2.4 |
(86.1–95.6) |
Rockingham County-Strafford County, New Hampshire† |
1,606 |
90.8 |
1.0 |
(88.8–92.7) |
Rutland, Vermont |
659 |
88.3 |
2.2 |
(83.9–92.6) |
Sacramento-Arden-Arcade-Roseville, California |
1,293 |
87.2 |
1.8 |
(83.6–90.7) |
St. Louis, Missouri-Illinois |
1,745 |
86.4 |
1.8 |
(82.8–89.9) |
Salt Lake City, Utah |
4,299 |
83.1 |
0.9 |
(81.3–84.8) |
San Antonio, Texas |
1,129 |
82.8 |
2.0 |
(78.8–86.7) |
San Diego-Carlsbad-San Marcos, California |
1,695 |
82.3 |
1.5 |
(79.3–85.2) |
San Francisco-Oakland-Fremont, California |
2,357 |
90.7 |
0.9 |
(88.9–92.4) |
San Jose-Sunnyvale-Santa Clara, California |
911 |
89.4 |
1.6 |
(86.2–92.5) |
Santa Ana-Anaheim-Irvine, California† |
1,446 |
84.3 |
1.5 |
(81.3–87.2) |
Santa Fe, New Mexico |
609 |
79.3 |
2.6 |
(74.2–84.3) |
Scottsbluff, Nebraska |
759 |
88.5 |
1.7 |
(85.1–91.8) |
Scranton-Wilkes-Barre, Pennsylvania |
553 |
87.7 |
2.3 |
(83.1–92.2) |
Seaford, Delaware |
1,238 |
87.9 |
1.8 |
(84.3–91.4) |
Seattle-Bellevue-Everett, Washington† |
4,691 |
85.9 |
0.9 |
(84.1–87.6) |
Sebring, Florida |
520 |
79.8 |
3.0 |
(73.9–85.6) |
Shreveport-Bossier City, Louisiana |
681 |
77.6 |
2.8 |
(72.1–83.0) |
Sioux City, Iowa-Nebraska-South Dakota |
1,220 |
86.4 |
2.7 |
(81.1–91.6) |
Sioux Falls, South Dakota |
838 |
93.4 |
1.3 |
(90.8–95.9) |
Spokane, Washington |
1,212 |
86.0 |
1.7 |
(82.6–89.3) |
Springfield, Massachusetts |
2,050 |
94.0 |
1.4 |
(91.2–96.7) |
Tacoma, Washington† |
1,719 |
87.7 |
1.2 |
(85.3–90.0) |
Tallahassee, Florida |
2,046 |
84.8 |
2.1 |
(80.6–88.9) |
Tampa-St. Petersburg-Clearwater, Florida |
2,033 |
85.2 |
1.6 |
(82.0–88.3) |
Toledo, Ohio |
863 |
87.8 |
1.6 |
(84.6–90.9) |
Topeka, Kansas |
835 |
87.9 |
1.8 |
(84.3–91.4) |
Trenton-Ewing, New Jersey |
503 |
93.8 |
1.6 |
(90.6–96.9) |
Tucson, Arizona |
698 |
86.6 |
2.5 |
(81.7–91.5) |
Tulsa, Oklahoma |
2,137 |
80.2 |
1.3 |
(77.6–82.7) |
Tuscaloosa, Alabama |
516 |
79.8 |
3.1 |
(73.7–85.8) |
Twin Falls, Idaho |
539 |
77.3 |
3.2 |
(71.0–83.5) |
Tyler, Texas |
673 |
76.3 |
3.3 |
(69.8–82.7) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,103 |
85.7 |
2.3 |
(81.1–90.2) |
Warren-Troy-Farmington Hills, Michigan† |
1,797 |
88.4 |
1.4 |
(85.6–91.1) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia† |
6,438 |
91.3 |
0.9 |
(89.5–93.0) |
Wauchula, Florida |
530 |
67.0 |
4.0 |
(59.1–74.8) |
West Palm Beach-Boca Raton-Boynton Beach, Florida † |
551 |
89.5 |
2.2 |
(85.1–93.8) |
Wichita, Kansas |
1,848 |
87.8 |
1.3 |
(85.2–90.3) |
Wichita Falls, Texas |
828 |
77.1 |
2.6 |
(72.0–82.1) |
Wilmington, Delaware-Maryland-New Jersey† |
2,214 |
90.2 |
1.1 |
(88.0–92.3) |
TABLE 5. (Continued) Estimated prevalence of adults aged ≥18 years who have health-care coverage,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
2,098 |
95.9 |
0.7 |
(94.5–97.2) |
Yakima, Washington |
737 |
78.1 |
2.4 |
(73.3–82.8) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,062 |
87.1 |
2.2 |
(82.7–91.4) |
Median |
85.9 |
|||
Range |
45.7-97.0 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Includes health insurance, prepaid plans (e.g., health maintenance organizations), or government plans (e.g., Medicare). † Metropolitan division. |
TABLE 6. (Continued) Estimated prevalence of adults aged ≥18 years who have health care coverage,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
503 |
77.9 |
3.2 |
(71.6–84.1) |
Nassau County, Florida |
521 |
NA |
NA |
NA |
Orange County, Florida |
1,002 |
82.2 |
1.8 |
(78.6–85.7) |
Osceola County, Florida |
570 |
75.9 |
3.0 |
(70.0–81.7) |
Palm Beach County, Florida |
551 |
89.5 |
2.2 |
(85.1–93.8) |
Pasco County, Florida |
540 |
86.2 |
3.1 |
(80.1–92.2) |
Pinellas County, Florida |
497 |
86.8 |
2.6 |
(81.7–91.8) |
Polk County, Florida |
522 |
76.2 |
3.0 |
(70.3–82.0) |
St. Johns County, Florida |
521 |
92.0 |
1.7 |
(88.6–95.3) |
St. Lucie County, Florida |
504 |
78.3 |
3.0 |
(72.4–84.1) |
Santa Rosa County, Florida |
494 |
85.1 |
2.3 |
(80.5–89.6) |
Sarasota County, Florida |
609 |
81.4 |
2.8 |
(75.9–86.8) |
Seminole County, Florida |
489 |
81.1 |
2.6 |
(76.0–86.1) |
Volusia County, Florida |
861 |
82.1 |
2.3 |
(77.5–86.6) |
Wakulla County, Florida |
536 |
81.4 |
3.3 |
(74.9–87.8) |
Cobb County, Georgia |
253 |
95.6 |
1.3 |
(93.0–98.1) |
DeKalb County, Georgia |
342 |
83.2 |
3.1 |
(77.1–89.2) |
Fulton County, Georgia |
328 |
87.6 |
3.0 |
(81.7–93.4) |
Gwinnett County, Georgia |
251 |
88.1 |
3.4 |
(81.4–94.7) |
Hawaii County, Hawaii |
1,479 |
91.4 |
1.2 |
(89.0–93.7) |
Honolulu County, Hawaii |
2,958 |
93.9 |
0.8 |
(92.3–95.4) |
Kauai County, Hawaii |
645 |
90.7 |
2.0 |
(86.7–94.6) |
Maui County, Hawaii |
1,462 |
92.5 |
1.1 |
(90.3–94.6) |
Ada County, Idaho |
861 |
85.0 |
2.0 |
(81.0–88.9) |
Bonneville County, Idaho |
522 |
85.1 |
2.3 |
(80.5–89.6) |
Canyon County, Idaho |
619 |
73.7 |
2.7 |
(68.4–78.9) |
Kootenai County, Idaho |
570 |
82.2 |
2.8 |
(76.7–87.6) |
Nez Perce County, Idaho |
381 |
85.6 |
2.8 |
(80.1–91.0) |
Twin Falls County, Idaho |
434 |
80.5 |
3.1 |
(74.4–86.5) |
Cook County, Illinois |
2,882 |
83.6 |
1.3 |
(81.0–86.1) |
DuPage County, Illinois |
256 |
91.3 |
2.5 |
(86.4–96.2) |
Allen County, Indiana |
585 |
86.1 |
2.0 |
(82.1–90.0) |
Lake County, Indiana |
999 |
81.7 |
2.5 |
(76.8–86.6) |
Marion County, Indiana |
1,463 |
83.3 |
1.8 |
(79.7–86.8) |
Linn County, Iowa |
494 |
92.0 |
1.8 |
(88.4–95.5) |
Polk County, Iowa |
765 |
91.5 |
1.4 |
(88.7–94.2) |
Johnson County, Kansas |
1,416 |
93.0 |
1.1 |
(90.8–95.1) |
Sedgwick County, Kansas |
1,435 |
87.6 |
1.4 |
(84.8–90.3) |
Shawnee County, Kansas |
624 |
88.0 |
2.2 |
(83.6–92.3) |
Wyandotte County, Kansas |
607 |
72.9 |
3.1 |
(66.8–78.9) |
Jefferson County, Kentucky |
410 |
84.4 |
2.6 |
(79.3–89.4) |
Caddo Parish, Louisiana |
446 |
79.0 |
2.9 |
(73.3–84.6) |
East Baton Rouge Parish, Louisiana |
722 |
81.9 |
2.3 |
(77.3–86.4) |
Jefferson Parish, Louisiana |
595 |
80.3 |
2.3 |
(75.7–84.8) |
Orleans Parish, Louisiana |
377 |
82.3 |
2.9 |
(76.6–87.9) |
St. Tammany Parish, Louisiana |
372 |
82.7 |
3.8 |
(75.2–90.1) |
Androscoggin County, Maine |
500 |
88.8 |
2.0 |
(84.8–92.7) |
Cumberland County, Maine |
1,385 |
91.1 |
1.5 |
(88.1–94.0) |
Kennebec County, Maine |
652 |
88.6 |
2.0 |
(84.6–92.5) |
Penobscot County, Maine |
687 |
89.8 |
1.5 |
(86.8–92.7) |
Sagadahoc County, Maine |
299 |
88.3 |
2.5 |
(83.4–93.2) |
York County, Maine |
942 |
90.1 |
1.4 |
(87.3–92.8) |
Anne Arundel County, Maryland |
601 |
91.4 |
1.9 |
(87.6–95.1) |
Baltimore County, Maryland |
1,052 |
91.2 |
1.4 |
(88.4–93.9) |
Cecil County, Maryland |
270 |
90.1 |
2.4 |
(85.3–94.8) |
Charles County, Maryland |
349 |
92.8 |
1.8 |
(89.2–96.3) |
Frederick County, Maryland |
577 |
91.0 |
1.9 |
(87.2–94.7) |
Harford County, Maryland |
280 |
93.5 |
1.8 |
(89.9–97.0) |
Howard County, Maryland |
341 |
95.1 |
1.7 |
(91.7–98.4) |
Montgomery County, Maryland |
1,063 |
89.4 |
1.7 |
(86.0–92.7) |
Prince George´s County, Maryland |
790 |
87.8 |
1.9 |
(84.0–91.5) |
Queen Anne´s County, Maryland |
294 |
95.6 |
1.7 |
(92.2–98.9) |
Washington County, Maryland |
407 |
83.4 |
3.0 |
(77.5–89.2) |
TABLE 6. (Continued) Estimated prevalence of adults aged ≥18 years who have health care coverage,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
533 |
84.2 |
2.4 |
(79.4–88.9) |
Bristol County, Massachusetts |
2,928 |
94.7 |
1.1 |
(92.5–96.8) |
Essex County, Massachusetts |
2,134 |
94.0 |
1.4 |
(91.2–96.7) |
Hampden County, Massachusetts |
1,591 |
92.5 |
2.0 |
(88.5–96.4) |
Hampshire County, Massachusetts |
275 |
95.6 |
2.5 |
(90.3–100.0 |
Middlesex County, Massachusetts |
3,023 |
96.8 |
0.7 |
(95.4–98.1) |
Norfolk County, Massachusetts |
860 |
97.2 |
0.7 |
(95.8–98.5) |
Plymouth County, Massachusetts |
687 |
95.8 |
1.6 |
(92.6–98.9) |
Suffolk County, Massachusetts |
1,760 |
93.8 |
1.2 |
(91.4–96.1) |
Worcester County, Massachusetts |
2,098 |
95.9 |
0.7 |
(94.5–97.2) |
Kent County, Michigan |
444 |
90.6 |
2.1 |
(86.4–94.7) |
Macomb County, Michigan |
515 |
89.9 |
2.2 |
(85.5–94.2) |
Oakland County, Michigan |
933 |
88.5 |
1.7 |
(85.1–91.8) |
Wayne County, Michigan |
1,909 |
82.0 |
1.8 |
(78.4–85.5) |
Anoka County, Minnesota |
395 |
93.5 |
1.7 |
(90.1–96.8) |
Dakota County, Minnesota |
571 |
95.7 |
1.2 |
(93.3–98.0) |
Hennepin County, Minnesota |
2,053 |
91.9 |
1.5 |
(88.9–94.8) |
Ramsey County, Minnesota |
917 |
92.3 |
2.2 |
(87.9–96.6) |
Washington County, Minnesota |
258 |
95.4 |
1.9 |
(91.6–99.1) |
DeSoto County, Mississippi |
370 |
83.3 |
3.3 |
(76.8–89.7) |
Hinds County, Mississippi |
338 |
79.2 |
3.2 |
(72.9–85.4) |
Jackson County, Missouri |
524 |
86.3 |
2.1 |
(82.1–90.4) |
St. Louis County, Missouri |
601 |
88.7 |
2.3 |
(84.1–93.2) |
St. Louis city, Missouri |
647 |
78.0 |
4.1 |
(69.9–86.0) |
Flathead County, Montana |
698 |
81.1 |
2.0 |
(77.1–85.0) |
Lewis and Clark County, Montana |
533 |
90.0 |
1.9 |
(86.2–93.7) |
Yellowstone County, Montana |
483 |
86.0 |
2.3 |
(81.4–90.5) |
Adams County, Nebraska |
480 |
91.1 |
1.9 |
(87.3–94.8) |
Dakota County, Nebraska |
741 |
77.5 |
2.3 |
(72.9–82.0) |
Douglas County, Nebraska |
951 |
86.7 |
1.9 |
(82.9–90.4) |
Hall County, Nebraska |
585 |
83.0 |
2.6 |
(77.9–88.0) |
Lancaster County, Nebraska |
847 |
86.4 |
2.3 |
(81.8–90.9) |
Lincoln County, Nebraska |
545 |
90.2 |
2.0 |
(86.2–94.1) |
Madison County, Nebraska |
467 |
90.1 |
2.3 |
(85.5–94.6) |
Sarpy County, Nebraska |
575 |
85.6 |
2.8 |
(80.1–91.0) |
Scotts Bluff County, Nebraska |
736 |
88.5 |
1.8 |
(84.9–92.0) |
Seward County, Nebraska |
285 |
93.5 |
2.1 |
(89.3–97.6) |
Clark County, Nevada |
1,270 |
80.3 |
1.8 |
(76.7–83.8) |
Washoe County, Nevada |
1,306 |
82.6 |
1.5 |
(79.6–85.5) |
Grafton County, New Hampshire |
516 |
85.1 |
2.5 |
(80.2–90.0) |
Hillsborough County, New Hampshire |
1,421 |
90.1 |
1.3 |
(87.5–92.6) |
Merrimack County, New Hampshire |
640 |
88.2 |
2.2 |
(83.8–92.5) |
Rockingham County, New Hampshire |
1,020 |
92.4 |
1.1 |
(90.2–94.5) |
Strafford County, New Hampshire |
586 |
87.9 |
1.9 |
(84.1–91.6) |
Atlantic County, New Jersey |
921 |
87.6 |
1.6 |
(84.4–90.7) |
Bergen County, New Jersey |
625 |
90.2 |
1.8 |
(86.6–93.7) |
Burlington County, New Jersey |
568 |
96.8 |
0.7 |
(95.4–98.1) |
Camden County, New Jersey |
603 |
88.8 |
2.3 |
(84.2–93.3) |
Cape May County, New Jersey |
519 |
88.2 |
2.4 |
(83.4–92.9) |
Essex County, New Jersey |
1,022 |
80.9 |
1.9 |
(77.1–84.6) |
Gloucester County, New Jersey |
526 |
91.1 |
2.2 |
(86.7–95.4) |
Hudson County, New Jersey |
1,098 |
80.5 |
1.7 |
(77.1–83.8) |
Hunterdon County, New Jersey |
514 |
96.0 |
1.1 |
(93.8–98.1) |
Mercer County, New Jersey |
503 |
93.8 |
1.6 |
(90.6–96.9) |
Middlesex County, New Jersey |
632 |
89.5 |
1.8 |
(85.9–93.0) |
Monmouth County, New Jersey |
563 |
93.5 |
1.7 |
(90.1–96.8) |
Morris County, New Jersey |
699 |
94.4 |
1.3 |
(91.8–96.9) |
Ocean County, New Jersey |
532 |
89.6 |
1.9 |
(85.8–93.3) |
Passaic County, New Jersey |
502 |
79.8 |
2.8 |
(74.3–85.2) |
Somerset County, New Jersey |
536 |
91.4 |
1.6 |
(88.2–94.5) |
Sussex County, New Jersey |
500 |
93.3 |
1.5 |
(90.3–96.2) |
Union County, New Jersey |
522 |
84.8 |
2.4 |
(80.0–89.5) |
Warren County, New Jersey |
481 |
93.8 |
1.4 |
(91.0–96.5) |
TABLE 6. (Continued) Estimated prevalence of adults aged ≥18 years who have health care coverage,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
1,262 |
86.4 |
1.8 |
(82.8–89.9) |
Dona Ana County, New Mexico |
503 |
72.9 |
3.5 |
(66.0–79.7) |
Sandoval County, New Mexico |
517 |
85.4 |
2.6 |
(80.3–90.4) |
San Juan County, New Mexico |
684 |
74.5 |
2.7 |
(69.2–79.7) |
Santa Fe County, New Mexico |
609 |
79.3 |
2.6 |
(74.2–84.3) |
Valencia County, New Mexico |
348 |
77.6 |
3.6 |
(70.5–84.6) |
Bronx County, New York |
435 |
81.2 |
3.0 |
(75.3–87.0) |
Erie County, New York |
479 |
93.7 |
1.6 |
(90.5–96.8) |
Kings County, New York |
907 |
85.0 |
1.8 |
(81.4–88.5) |
Monroe County, New York |
381 |
92.2 |
2.7 |
(86.9–97.4) |
Nassau County, New York |
477 |
92.9 |
1.6 |
(89.7–96.0) |
New York County, New York |
1,034 |
87.5 |
1.8 |
(83.9–91.0) |
Queens County, New York |
792 |
87.3 |
2.0 |
(83.3–91.2) |
Suffolk County, New York |
594 |
89.5 |
2.0 |
(85.5–93.4) |
Westchester County, New York |
384 |
93.0 |
1.8 |
(89.4–96.5) |
Buncombe County, North Carolina |
263 |
79.3 |
3.5 |
(72.4–86.1) |
Cabarrus County, North Carolina |
307 |
82.8 |
3.2 |
(76.5–89.0) |
Catawba County, North Carolina |
294 |
79.0 |
3.5 |
(72.1–85.8) |
Durham County, North Carolina |
620 |
86.0 |
2.4 |
(81.2–90.7) |
Gaston County, North Carolina |
267 |
74.6 |
4.5 |
(65.7–83.4) |
Guilford County, North Carolina |
692 |
87.4 |
2.1 |
(83.2–91.5) |
Johnston County, North Carolina |
275 |
80.4 |
3.4 |
(73.7–87.0) |
Mecklenburg County, North Carolina |
609 |
84.6 |
2.3 |
(80.0–89.1) |
Orange County, North Carolina |
299 |
87.9 |
2.7 |
(82.6–93.1) |
Randolph County, North Carolina |
396 |
81.4 |
2.9 |
(75.7–87.0) |
Union County, North Carolina |
349 |
81.9 |
3.4 |
(75.2–88.5) |
Wake County, North Carolina |
710 |
87.3 |
2.2 |
(82.9–91.6) |
Burleigh County, North Dakota |
559 |
92.7 |
1.6 |
(89.5–95.8) |
Cass County, North Dakota |
777 |
91.3 |
2.3 |
(86.7–95.8) |
Ward County, North Dakota |
462 |
91.5 |
1.7 |
(88.1–94.8) |
Cuyahoga County, Ohio |
718 |
86.6 |
2.1 |
(82.4–90.7) |
Franklin County, Ohio |
677 |
89.9 |
2.1 |
(85.7–94.0) |
Hamilton County, Ohio |
722 |
89.7 |
1.7 |
(86.3–93.0) |
Lucas County, Ohio |
729 |
84.9 |
2.1 |
(80.7–89.0) |
Mahoning County, Ohio |
730 |
90.1 |
1.7 |
(86.7–93.4) |
Montgomery County, Ohio |
703 |
88.1 |
1.9 |
(84.3–91.8) |
Stark County, Ohio |
715 |
84.9 |
2.5 |
(80.0–89.8) |
Summit County, Ohio |
705 |
86.4 |
2.1 |
(82.2–90.5) |
Cleveland County, Oklahoma |
433 |
87.9 |
2.3 |
(83.3–92.4) |
Oklahoma County, Oklahoma |
1,438 |
76.0 |
1.7 |
(72.6–79.3) |
Tulsa County, Oklahoma |
1,516 |
79.8 |
1.4 |
(77.0–82.5) |
Clackamas County, Oregon |
450 |
88.3 |
2.4 |
(83.5–93.0) |
Lane County, Oregon |
510 |
79.1 |
3.4 |
(72.4–85.7) |
Multnomah County, Oregon |
817 |
87.2 |
2.2 |
(82.8–91.5) |
Washington County, Oregon |
583 |
86.6 |
2.5 |
(81.7–91.5) |
Allegheny County, Pennsylvania |
1,379 |
90.7 |
1.3 |
(88.1–93.2) |
Lehigh County, Pennsylvania |
283 |
90.5 |
2.1 |
(86.3–94.6) |
Luzerne County, Pennsylvania |
312 |
85.6 |
3.3 |
(79.1–92.0) |
Montgomery County, Pennsylvania |
347 |
87.5 |
3.0 |
(81.6–93.3) |
Northampton County, Pennsylvania |
260 |
88.7 |
3.9 |
(81.0–96.3) |
Philadelphia County, Pennsylvania |
1,401 |
84.5 |
1.6 |
(81.3–87.6) |
Westmoreland County, Pennsylvania |
337 |
89.0 |
2.7 |
(83.7–94.2) |
Bristol County, Rhode Island |
278 |
92.9 |
2.0 |
(88.9–96.8) |
Kent County, Rhode Island |
939 |
89.9 |
1.6 |
(86.7–93.0) |
Newport County, Rhode Island |
487 |
92.7 |
2.4 |
(87.9–97.4) |
Providence County, Rhode Island |
4,138 |
85.3 |
1.1 |
(83.1–87.4) |
Washington County, Rhode Island |
747 |
90.5 |
2.0 |
(86.5–94.4) |
Aiken County, South Carolina |
473 |
87.9 |
2.2 |
(83.5–92.2) |
Beaufort County, South Carolina |
681 |
89.9 |
2.0 |
(85.9–93.8) |
Berkeley County, South Carolina |
358 |
NA |
NA |
NA |
Charleston County, South Carolina |
668 |
84.8 |
2.7 |
(79.5–90.0) |
Greenville County, South Carolina |
495 |
87.2 |
2.8 |
(81.7–92.6) |
Horry County, South Carolina |
555 |
77.0 |
3.0 |
(71.1–82.8) |
TABLE 6. (Continued) Estimated prevalence of adults aged ≥18 years who have health care coverage,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
660 |
81.3 |
3.5 |
(74.4–88.1) |
Minnehaha County, South Dakota |
605 |
93.4 |
1.6 |
(90.2–96.5) |
Pennington County, South Dakota |
666 |
87.4 |
1.9 |
(83.6–91.1) |
Davidson County, Tennessee |
418 |
84.5 |
2.7 |
(79.2–89.7) |
Hamilton County, Tennessee |
386 |
82.5 |
3.3 |
(76.0–88.9) |
Knox County, Tennessee |
370 |
87.3 |
2.7 |
(82.0–92.5) |
Shelby County, Tennessee |
394 |
88.3 |
3.2 |
(82.0–94.5) |
Sullivan County, Tennessee |
461 |
86.9 |
2.6 |
(81.8–91.9) |
Bexar County, Texas |
970 |
85.3 |
1.6 |
(82.1–88.4) |
Dallas County, Texas |
392 |
75.0 |
3.7 |
(67.7–82.2) |
El Paso County, Texas |
869 |
62.5 |
2.4 |
(57.7–67.2) |
Fort Bend County, Texas |
925 |
86.4 |
1.6 |
(83.2–89.5) |
Harris County, Texas |
1,455 |
74.3 |
1.8 |
(70.7–77.8) |
Hidalgo County, Texas |
595 |
45.7 |
2.8 |
(40.2–51.1) |
Lubbock County, Texas |
752 |
77.3 |
2.8 |
(71.8–82.7) |
Midland County, Texas |
524 |
84.5 |
2.4 |
(79.7–89.2) |
Potter County, Texas |
337 |
78.6 |
3.2 |
(72.3–84.8) |
Randall County, Texas |
459 |
86.1 |
2.4 |
(81.3–90.8) |
Smith County, Texas |
673 |
76.3 |
3.3 |
(69.8–82.7) |
Tarrant County, Texas |
602 |
81.7 |
2.6 |
(76.6–86.7) |
Travis County, Texas |
762 |
88.0 |
2.5 |
(83.1–92.9) |
Val Verde County, Texas |
556 |
74.7 |
3.4 |
(68.0–81.3) |
Webb County, Texas |
924 |
51.2 |
2.2 |
(46.8–55.5) |
Wichita County, Texas |
677 |
76.7 |
2.9 |
(71.0–82.3) |
Davis County, Utah |
878 |
87.7 |
2.1 |
(83.5–91.8) |
Salt Lake County, Utah |
3,283 |
82.9 |
1.0 |
(80.9–84.8) |
Summit County, Utah |
453 |
84.4 |
2.9 |
(78.7–90.0) |
Tooele County, Utah |
563 |
84.9 |
2.2 |
(80.5–89.2) |
Utah County, Utah |
1,110 |
85.3 |
1.8 |
(81.7–88.8) |
Weber County, Utah |
773 |
86.6 |
2.2 |
(82.2–90.9) |
Chittenden County, Vermont |
1,427 |
94.4 |
1.0 |
(92.4–96.3) |
Franklin County, Vermont |
486 |
93.5 |
1.2 |
(91.1–95.8) |
Orange County, Vermont |
357 |
90.1 |
2.2 |
(85.7–94.4) |
Rutland County, Vermont |
659 |
88.3 |
2.2 |
(83.9–92.6) |
Washington County, Vermont |
671 |
92.0 |
1.8 |
(88.4–95.5) |
Windsor County, Vermont |
678 |
88.6 |
1.8 |
(85.0–92.1) |
Benton County, Washington |
390 |
90.2 |
2.0 |
(86.2–94.1) |
Clark County, Washington |
1,090 |
84.8 |
2.0 |
(80.8–88.7) |
Franklin County, Washington |
255 |
69.3 |
4.4 |
(60.6–77.9) |
King County, Washington |
3,039 |
86.8 |
1.1 |
(84.6–88.9) |
Kitsap County, Washington |
922 |
88.4 |
1.8 |
(84.8–91.9) |
Pierce County, Washington |
1,719 |
87.9 |
1.2 |
(85.5–90.2) |
Snohomish County, Washington |
1,652 |
85.0 |
1.4 |
(82.2–87.7) |
Spokane County, Washington |
1,212 |
86.0 |
1.7 |
(82.6–89.3) |
Thurston County, Washington |
773 |
85.7 |
2.2 |
(81.3–90.0) |
Yakima County, Washington |
737 |
78.1 |
2.4 |
(73.3–82.8) |
Kanawha County, West Virginia |
489 |
87.6 |
2.5 |
(82.7–92.5) |
Milwaukee County, Wisconsin |
1,213 |
87.9 |
2.1 |
(83.7–92.0) |
Laramie County, Wyoming |
912 |
85.9 |
1.7 |
(82.5–89.2) |
Natrona County, Wyoming |
766 |
81.8 |
2.2 |
(77.4–86.1) |
Median |
87.2 |
|||
Range |
45.7-97.2 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Includes health insurance, prepaid plans (e.g., health maintenance organizations), or government plans (e.g., Medicare). † Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 8. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
948 |
64.1 |
3.4 |
(57.4–70.7) |
Grand Island, Nebraska |
861 |
65.6 |
2.4 |
(60.8–70.3) |
Grand Rapids-Wyoming, Michigan |
622 |
72.7 |
2.6 |
(67.6–77.7) |
Greensboro-High Point, North Carolina |
1,157 |
70.2 |
2.4 |
(65.4–74.9) |
Greenville, South Carolina |
779 |
67.4 |
3.0 |
(61.5–73.2) |
Hagerstown-Martinsburg, Maryland-West Virginia |
640 |
67.8 |
2.7 |
(62.5–73.0) |
Hartford-West Hartford-East Hartford, Connecticut |
2,012 |
81.9 |
1.5 |
(78.9–84.8) |
Hastings, Nebraska |
583 |
69.1 |
2.8 |
(63.6–74.5) |
Helena, Montana |
641 |
72.2 |
2.6 |
(67.1–77.2) |
Hickory-Morganton-Lenoir, North Carolina |
599 |
63.9 |
2.7 |
(58.6–69.1) |
Hilo, Hawaii |
1,479 |
64.8 |
1.8 |
(61.2–68.3) |
Hilton Head Island-Beaufort, South Carolina |
799 |
73.1 |
2.4 |
(68.3–77.8) |
Homosassa Springs, Florida |
532 |
59.2 |
3.0 |
(53.3–65.0) |
Honolulu, Hawaii |
2,957 |
74.3 |
1.2 |
(71.9–76.6) |
Houston-Sugar Land-Baytown, Texas |
2,729 |
64.5 |
1.7 |
(61.1–67.8) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
653 |
58.6 |
2.7 |
(53.3–63.8) |
Idaho Falls, Idaho |
665 |
75.1 |
2.3 |
(70.5–79.6) |
Indianapolis-Carmel, Indiana |
2,250 |
71.5 |
1.5 |
(68.5–74.4) |
Jackson, Mississippi |
754 |
65.2 |
2.4 |
(60.4–69.9) |
Jacksonville, Florida |
2,585 |
67.7 |
2.0 |
(63.7–71.6) |
Kahului-Wailuku, Hawaii |
1,461 |
74.5 |
1.8 |
(70.9–78.0) |
Kalispell, Montana |
698 |
54.3 |
2.5 |
(49.4–59.2) |
Kansas City, Missouri-Kansas |
3,367 |
71.9 |
1.3 |
(69.3–74.4) |
Kapaa, Hawaii |
645 |
66.9 |
2.9 |
(61.2–72.5) |
Kennewick-Richland-Pasco, Washington |
643 |
69.5 |
2.6 |
(64.4–74.5) |
Key West-Marathon, Florida |
505 |
71.6 |
3.0 |
(65.7–77.4) |
Kingsport-Bristol, Tennessee-Virginia |
648 |
69.0 |
3.0 |
(63.1–74.8) |
Knoxville, Tennessee |
526 |
67.4 |
3.5 |
(60.5–74.2) |
Lake City, Florida |
563 |
51.8 |
3.1 |
(45.7–57.8) |
Lakeland-Winter Haven, Florida |
521 |
52.5 |
3.1 |
(46.4–58.5) |
Laredo, Texas |
921 |
51.9 |
2.2 |
(47.5–56.2) |
Las Cruces, New Mexico |
499 |
67.0 |
3.4 |
(60.3–73.6) |
Las Vegas-Paradise, Nevada |
1,263 |
67.2 |
1.8 |
(63.6–70.7) |
Lebanon, New Hampshire-Vermont |
1,554 |
71.3 |
1.7 |
(67.9–74.6) |
Lewiston, Idaho-Washington |
602 |
68.2 |
2.6 |
(63.1–73.2) |
Lewiston-Auburn, Maine |
501 |
61.9 |
2.9 |
(56.2–67.5) |
Lincoln, Nebraska |
1,132 |
74.6 |
2.3 |
(70.0–79.1) |
Little Rock-North Little Rock, Arkansas |
818 |
71.2 |
2.6 |
(66.1–76.2) |
Los Angeles-Long Beach-Glendale, California* |
2,617 |
65.1 |
1.3 |
(62.5–67.6) |
Louisville, Kentucky-Indiana |
904 |
66.9 |
2.3 |
(62.3–71.4) |
Lubbock, Texas |
780 |
59.4 |
3.0 |
(53.5–65.2) |
Manchester-Nashua, New Hampshire |
1,414 |
78.3 |
1.6 |
(75.1–81.4) |
McAllen-Edinburg-Mission, Texas |
594 |
48.2 |
2.8 |
(42.7–53.6) |
Memphis, Tennessee-Mississippi-Arkansas |
1,154 |
65.0 |
2.8 |
(59.5–70.4) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,028 |
63.7 |
2.3 |
(59.1–68.2) |
Midland, Texas |
522 |
66.8 |
2.9 |
(61.1–72.4) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,528 |
79.2 |
1.9 |
(75.4–82.9) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
4,848 |
81.1 |
1.1 |
(78.9–83.2) |
Minot, North Dakota |
555 |
75.6 |
2.2 |
(71.2–79.9) |
Mobile, Alabama |
678 |
61.2 |
2.9 |
(55.5–66.8) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
551 |
62.4 |
3.0 |
(56.5–68.2) |
Naples-Marco Island, Florida |
520 |
72.5 |
3.5 |
(65.6–79.3) |
Nashville-Davidson-Murfreesboro, Tennessee |
830 |
70.6 |
2.6 |
(65.5–75.6) |
Nassau-Suffolk, New York* |
1,071 |
74.0 |
1.9 |
(70.2–77.7) |
Newark-Union, New Jersey-Pennsylvania* |
3,315 |
78.6 |
1.1 |
(76.4–80.7) |
New Haven-Milford, Connecticut |
1,673 |
80.1 |
1.6 |
(76.9–83.2) |
New Orleans-Metairie-Kenner, Louisiana |
1,527 |
66.1 |
1.8 |
(62.5–69.6) |
New York-White Plains-Wayne, New York-New Jersey* |
6,177 |
72.6 |
0.9 |
(70.8–74.3) |
Norfolk, Nebraska |
674 |
65.1 |
2.7 |
(59.8–70.3) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
575 1,133 |
66.5 70.3 |
2.9 2.2 |
(60.8–72.1) (65.9–74.6) |
Ocala, Florida |
589 |
57.9 |
2.9 |
(52.2–63.5) |
Ocean City, New Jersey |
516 |
77.9 |
2.5 |
(73.0–82.8) |
TABLE 8. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
1,695 |
75.2 |
1.6 |
(72.0–78.3) |
Oklahoma City, Oklahoma |
2,465 |
61.6 |
1.3 |
(59.0–64.1) |
Olympia, Washington |
775 |
72.4 |
2.3 |
(67.8–76.9) |
Omaha-Council Bluffs, Nebraska-Iowa |
2,353 |
71.8 |
1.4 |
(69.0–74.5) |
Orlando-Kissimmee, Florida |
2,667 |
64.5 |
1.5 |
(61.5–67.4) |
Palm Bay-Melbourne-Titusville, Florida |
527 |
62.6 |
3.2 |
(56.3–68.8) |
Panama City-Lynn Haven, Florida Peabody, Massachusetts |
544 2,131 |
68.8 81.8 |
3.4 1.6 |
(62.1–75.4) (78.6–84.9) |
Pensacola-Ferry Pass-Brent, Florida |
1,012 |
57.0 |
2.4 |
(52.2–61.7) |
Philadelphia, Pennsylvania† |
2,365 |
73.8 |
1.5 |
(70.8–76.7) |
Phoenix-Mesa-Scottsdale, Arizona |
1,682 |
70.0 |
1.8 |
(66.4–73.5) |
Pittsburgh, Pennsylvania |
2,415 |
72.9 |
1.3 |
(70.3–75.4) |
Portland-South Portland-Biddeford, Maine |
2,626 |
74.6 |
1.2 |
(72.2–76.9) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,396 |
74.9 |
1.2 |
(72.5–77.2) |
Port St. Lucie-Fort Pierce, Florida |
1,023 |
64.7 |
2.4 |
(59.9–69.4) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
9,487 |
78.7 |
0.7 |
(77.3–80.0) |
Provo-Orem, Utah |
1,173 |
77.3 |
1.8 |
(73.7–80.8) |
Raleigh-Cary, North Carolina |
1,026 |
75.7 |
1.9 |
(71.9–79.4) |
Rapid City, South Dakota |
848 |
73.2 |
2.0 |
(69.2–77.1) |
Reno-Sparks, Nevada |
1,325 |
72.6 |
1.6 |
(69.4–75.7) |
Richmond, Virginia |
799 |
77.2 |
2.5 |
(72.3–82.1) |
Riverside-San Bernardino-Ontario, California |
1,879 |
66.0 |
1.6 |
(62.8–69.1) |
Rochester, New York |
568 |
73.0 |
2.9 |
(67.3–78.6) |
Rockingham County-Strafford County, New Hampshire* |
1,606 |
78.4 |
1.5 |
(75.4–81.3) |
Rutland, Vermont |
657 |
73.0 |
2.4 |
(68.2–77.7) |
Sacramento-Arden-Arcade-Roseville, California |
1,293 |
74.1 |
2.0 |
(70.1–78.0) |
St. Louis, Missouri-Illinois |
1,747 |
70.6 |
1.8 |
(67.0–74.1) |
Salt Lake City, Utah |
4,298 |
72.7 |
1.0 |
(70.7–74.6) |
San Antonio, Texas |
1,124 |
68.6 |
2.1 |
(64.4–72.7) |
San Diego-Carlsbad-San Marcos, California |
1,695 |
74.1 |
1.5 |
(71.1–77.0) |
San Francisco-Oakland-Fremont, California |
2,357 |
76.0 |
1.2 |
(73.6–78.3) |
San Jose-Sunnyvale-Santa Clara, California |
913 |
79.2 |
2.0 |
(75.2–83.1) |
Santa Ana-Anaheim-Irvine, California* |
1,446 |
72.2 |
1.7 |
(68.8–75.5) |
Santa Fe, New Mexico |
609 |
69.2 |
2.9 |
(63.5–74.8) |
Scottsbluff, Nebraska |
759 |
61.4 |
2.6 |
(56.3–66.4) |
Scranton-Wilkes-Barre, Pennsylvania |
552 |
69.9 |
2.7 |
(64.6–75.1) |
Seaford, Delaware |
1,238 |
69.0 |
2.0 |
(65.0–72.9) |
Seattle-Bellevue-Everett, Washington* |
4,684 |
76.0 |
0.9 |
(74.2–77.7) |
Sebring, Florida |
520 |
59.7 |
3.3 |
(53.2–66.1) |
Shreveport-Bossier City, Louisiana |
681 |
62.7 |
2.7 |
(57.4–67.9) |
Sioux City, Iowa-Nebraska-South Dakota |
1,219 |
71.7 |
2.7 |
(66.4–76.9) |
Sioux Falls, South Dakota |
838 |
79.7 |
1.8 |
(76.1–83.2) |
Spokane, Washington |
1,215 |
72.2 |
1.9 |
(68.4–75.9) |
Springfield, Massachusetts |
2,043 |
80.1 |
1.9 |
(76.3–83.8) |
Tacoma, Washington* |
1,719 |
72.4 |
1.5 |
(69.4–75.3) |
Tallahassee, Florida |
2,041 |
65.4 |
2.5 |
(60.5–70.3) |
Tampa-St. Petersburg-Clearwater, Florida |
2,032 |
66.1 |
1.8 |
(62.5–69.6) |
Toledo, Ohio |
859 |
76.0 |
2.2 |
(71.6–80.3) |
Topeka, Kansas |
833 |
74.3 |
2.1 |
(70.1–78.4) |
Trenton-Ewing, New Jersey |
500 |
80.2 |
2.6 |
(75.1–85.2) |
Tucson, Arizona |
698 |
67.7 |
3.1 |
(61.6–73.7) |
Tulsa, Oklahoma |
2,141 |
56.6 |
1.5 |
(53.6–59.5) |
Tuscaloosa, Alabama |
514 |
60.8 |
3.4 |
(54.1–67.4) |
Twin Falls, Idaho |
537 |
69.0 |
2.8 |
(63.5–74.4) |
Tyler, Texas |
670 |
67.4 |
2.9 |
(61.7–73.0) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,096 |
75.4 |
2.3 |
(70.8–79.9) |
Warren-Troy-Farmington Hills, Michigan* |
1,797 |
79.4 |
1.4 |
(76.6–82.1) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia* |
6,427 |
80.9 |
1.2 |
(78.5–83.2) |
Wauchula, Florida |
526 |
53.8 |
3.9 |
(46.1–61.4) |
West Palm Beach-Boca Raton-Boynton Beach, Florida† |
551 |
74.0 |
3.0 |
(68.1–79.8) |
Wichita, Kansas |
1,846 |
75.4 |
1.4 |
(72.6–78.1) |
Wichita Falls, Texas |
829 |
65.2 |
2.8 |
(59.7–70.6) |
Wilmington, Delaware-Maryland-New Jersey* |
2,208 |
75.8 |
1.2 |
(73.4–78.1) |
TABLE 8. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
2,094 |
80.4 |
1.6 |
(77.2–83.5) |
Yakima, Washington |
739 |
69.3 |
2.4 |
(64.5–74.0) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,058 |
67.8 |
2.8 |
(62.3–73.2) |
Median |
70.2 |
|||
Range |
47.1-83.5 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Metropolitan division. |
TABLE 9. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
505 |
71.6 |
3.0 |
(65.7–77.4) |
Nassau County, Florida |
521 |
68.1 |
3.8 |
(60.6–75.5) |
Orange County, Florida |
1,004 |
64.8 |
2.2 |
(60.4–69.1) |
Osceola County, Florida |
567 |
55.6 |
3.1 |
(49.5–61.6) |
Palm Beach County, Florida |
551 |
74.0 |
3.0 |
(68.1–79.8) |
Pasco County, Florida |
541 |
63.7 |
3.3 |
(57.2–70.1) |
Pinellas County, Florida |
497 |
70.0 |
3.1 |
(63.9–76.0) |
Polk County, Florida |
521 |
52.5 |
3.1 |
(46.4–58.5) |
St. Johns County, Florida |
521 |
78.1 |
2.6 |
(73.0–83.1) |
St. Lucie County, Florida |
502 |
62.4 |
3.0 |
(56.5–68.2) |
Santa Rosa County, Florida |
493 |
64.8 |
3.0 |
(58.9–70.6) |
Sarasota County, Florida |
608 |
74.4 |
2.8 |
(68.9–79.8) |
Seminole County, Florida |
492 |
67.0 |
3.0 |
(61.1–72.8) |
Volusia County, Florida |
857 |
65.6 |
2.6 |
(60.5–70.6) |
Wakulla County, Florida |
537 |
53.7 |
3.6 |
(46.6–60.7) |
Cobb County, Georgia |
253 |
78.1 |
3.3 |
(71.6–84.5) |
DeKalb County, Georgia |
339 |
76.9 |
3.2 |
(70.6–83.1) |
Fulton County, Georgia |
329 |
73.8 |
3.7 |
(66.5–81.0) |
Gwinnett County, Georgia |
251 |
76.7 |
3.3 |
(70.2–83.1) |
Hawaii County, Hawaii |
1,479 |
64.8 |
1.8 |
(61.2–68.3) |
Honolulu County, Hawaii |
2,957 |
74.3 |
1.2 |
(71.9–76.6) |
Kauai County, Hawaii |
645 |
66.9 |
2.9 |
(61.2–72.5) |
Maui County, Hawaii |
1,461 |
74.5 |
1.8 |
(70.9–78.0) |
Ada County, Idaho |
866 |
73.9 |
2.3 |
(69.3–78.4) |
Bonneville County, Idaho |
522 |
77.6 |
2.4 |
(72.8–82.3) |
Canyon County, Idaho |
618 |
66.0 |
2.6 |
(60.9–71.0) |
Kootenai County, Idaho |
569 |
69.7 |
2.7 |
(64.4–74.9) |
Nez Perce County, Idaho |
381 |
67.4 |
3.2 |
(61.1–73.6) |
Twin Falls County, Idaho |
432 |
71.5 |
2.9 |
(65.8–77.1) |
Cook County, Illinois |
2,885 |
67.7 |
1.3 |
(65.1–70.2) |
DuPage County, Illinois |
256 |
76.2 |
3.4 |
(69.5–82.8) |
Allen County, Indiana |
584 |
74.4 |
2.5 |
(69.5–79.3) |
Lake County, Indiana |
996 |
64.5 |
2.8 |
(59.0–69.9) |
Marion County, Indiana |
1,460 |
69.4 |
2.0 |
(65.4–73.3) |
Linn County, Iowa |
493 |
82.3 |
2.3 |
(77.7–86.8) |
Polk County, Iowa |
766 |
77.3 |
2.1 |
(73.1–81.4) |
Johnson County, Kansas |
1,413 |
84.1 |
1.3 |
(81.5–86.6) |
Sedgwick County, Kansas |
1,430 |
75.0 |
1.6 |
(71.8–78.1) |
Shawnee County, Kansas |
622 |
75.0 |
2.5 |
(70.1–79.9) |
Wyandotte County, Kansas |
599 |
56.9 |
3.1 |
(50.8–62.9) |
Jefferson County, Kentucky |
409 |
65.9 |
3.1 |
(59.8–71.9) |
Caddo Parish, Louisiana |
446 |
59.1 |
3.3 |
(52.6–65.5) |
East Baton Rouge Parish, Louisiana |
720 |
67.5 |
2.5 |
(62.6–72.4) |
Jefferson Parish, Louisiana |
593 |
67.0 |
2.7 |
(61.7–72.2) |
Orleans Parish, Louisiana |
373 |
60.6 |
3.5 |
(53.7–67.4) |
St. Tammany Parish, Louisiana |
370 |
67.2 |
3.7 |
(59.9–74.4) |
Androscoggin County, Maine |
501 |
61.9 |
2.9 |
(56.2–67.5) |
Cumberland County, Maine |
1,387 |
76.9 |
1.8 |
(73.3–80.4) |
Kennebec County, Maine |
651 |
65.9 |
2.6 |
(60.8–70.9) |
Penobscot County, Maine |
690 |
67.6 |
2.4 |
(62.8–72.3) |
Sagadahoc County, Maine |
298 |
68.2 |
3.3 |
(61.7–74.6) |
York County, Maine |
941 |
72.4 |
1.9 |
(68.6–76.1) |
Anne Arundel County, Maryland |
600 |
78.9 |
2.4 |
(74.1–83.6) |
Baltimore County, Maryland |
1,048 |
75.9 |
1.7 |
(72.5–79.2) |
Cecil County, Maryland |
267 |
73.3 |
3.3 |
(66.8–79.7) |
Charles County, Maryland |
347 |
75.5 |
3.2 |
(69.2–81.7) |
Frederick County, Maryland |
577 |
79.1 |
2.2 |
(74.7–83.4) |
Harford County, Maryland |
279 |
77.1 |
3.2 |
(70.8–83.3) |
Howard County, Maryland |
340 |
84.7 |
2.6 |
(79.6–89.7) |
Montgomery County, Maryland |
1,063 |
82.2 |
1.6 |
(79.0–85.3) |
Prince George´s County, Maryland |
791 |
73.2 |
2.2 |
(68.8–77.5) |
Queen Anne´s County, Maryland |
295 |
75.3 |
3.7 |
(68.0–82.5) |
Washington County, Maryland |
404 |
66.9 |
3.3 |
(60.4–73.3) |
TABLE 9. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
528 |
62.5 |
3.1 |
(56.4–68.5) |
Bristol County, Massachusetts |
2,910 |
79.7 |
1.4 |
(76.9–82.4) |
Essex County, Massachusetts |
2,131 |
82.1 |
1.8 |
(78.5–85.6) |
Hampden County, Massachusetts |
1,587 |
79.8 |
2.2 |
(75.4–84.1) |
Hampshire County, Massachusetts |
274 |
81.0 |
3.8 |
(73.5–88.4) |
Middlesex County, Massachusetts |
3,015 |
81.8 |
1.5 |
(78.8–84.7) |
Norfolk County, Massachusetts |
857 |
83.2 |
1.9 |
(79.4–86.9) |
Plymouth County, Massachusetts |
682 |
83.7 |
2.1 |
(79.5–87.8) |
Suffolk County, Massachusetts |
1,754 |
81.2 |
1.6 |
(78.0–84.3) |
Worcester County, Massachusetts |
2,094 |
80.4 |
1.6 |
(77.2–83.5) |
Kent County, Michigan |
445 |
73.7 |
3.0 |
(67.8–79.5) |
Macomb County, Michigan |
515 |
81.2 |
2.2 |
(76.8–85.5) |
Oakland County, Michigan |
934 |
80.8 |
1.9 |
(77.0–84.5) |
Wayne County, Michigan |
1,906 |
67.6 |
1.8 |
(64.0–71.1) |
Anoka County, Minnesota |
397 |
82.2 |
2.7 |
(76.9–87.4) |
Dakota County, Minnesota |
570 |
84.4 |
2.3 |
(79.8–88.9) |
Hennepin County, Minnesota |
2,047 |
79.6 |
1.8 |
(76.0–83.1) |
Ramsey County, Minnesota |
914 |
78.9 |
3.1 |
(72.8–84.9) |
Washington County, Minnesota |
258 |
87.4 |
2.6 |
(82.3–92.4) |
DeSoto County, Mississippi |
368 |
68.8 |
3.6 |
(61.7–75.8) |
Hinds County, Mississippi |
334 |
60.2 |
3.8 |
(52.7–67.6) |
Jackson County, Missouri |
526 |
66.1 |
2.8 |
(60.6–71.5) |
St. Louis County, Missouri |
604 |
71.7 |
3.0 |
(65.8–77.5) |
St. Louis city, Missouri |
646 |
62.4 |
3.2 |
(56.1–68.6) |
Flathead County, Montana |
698 |
54.3 |
2.5 |
(49.4–59.2) |
Lewis and Clark County, Montana |
532 |
72.1 |
2.6 |
(67.0–77.1) |
Yellowstone County, Montana |
485 |
66.6 |
2.9 |
(60.9–72.2) |
Adams County, Nebraska |
475 |
73.0 |
2.8 |
(67.5–78.4) |
Dakota County, Nebraska |
739 |
63.1 |
2.4 |
(58.3–67.8) |
Douglas County, Nebraska |
951 |
72.3 |
2.1 |
(68.1–76.4) |
Hall County, Nebraska |
587 |
65.0 |
3.0 |
(59.1–70.8) |
Lancaster County, Nebraska |
848 |
74.7 |
2.5 |
(69.8–79.6) |
Lincoln County, Nebraska |
543 |
67.5 |
2.9 |
(61.8–73.1) |
Madison County, Nebraska |
466 |
67.4 |
3.3 |
(60.9–73.8) |
Sarpy County, Nebraska |
577 |
72.8 |
2.9 |
(67.1–78.4) |
Scotts Bluff County, Nebraska |
736 |
59.8 |
2.7 |
(54.5–65.0) |
Seward County, Nebraska |
284 |
71.5 |
3.5 |
(64.6–78.3) |
Clark County, Nevada |
1,263 |
67.2 |
1.8 |
(63.6–70.7) |
Washoe County, Nevada |
1,305 |
72.3 |
1.6 |
(69.1–75.4) |
Grafton County, New Hampshire |
516 |
71.5 |
3.0 |
(65.6–77.3) |
Hillsborough County, New Hampshire |
1,414 |
78.3 |
1.6 |
(75.1–81.4) |
Merrimack County, New Hampshire |
640 |
80.0 |
2.3 |
(75.4–84.5) |
Rockingham County, New Hampshire |
1,020 |
81.7 |
1.6 |
(78.5–84.8) |
Strafford County, New Hampshire |
586 |
70.9 |
2.7 |
(65.6–76.1) |
Atlantic County, New Jersey |
916 |
71.4 |
2.1 |
(67.2–75.5) |
Bergen County, New Jersey |
623 |
81.8 |
2.0 |
(77.8–85.7) |
Burlington County, New Jersey |
566 |
77.4 |
2.3 |
(72.8–81.9) |
Camden County, New Jersey |
602 |
70.1 |
2.8 |
(64.6–75.5) |
Cape May County, New Jersey |
516 |
77.9 |
2.5 |
(73.0–82.8) |
Essex County, New Jersey |
1,021 |
76.2 |
1.7 |
(72.8–79.5) |
Gloucester County, New Jersey |
526 |
76.4 |
2.5 |
(71.5–81.3) |
Hudson County, New Jersey |
1,089 |
69.1 |
1.9 |
(65.3–72.8) |
Hunterdon County, New Jersey |
515 |
85.7 |
2.1 |
(81.5–89.8) |
Mercer County, New Jersey |
500 |
80.2 |
2.6 |
(75.1–85.2) |
Middlesex County, New Jersey |
631 |
78.4 |
2.2 |
(74.0–82.7) |
Monmouth County, New Jersey |
560 |
81.0 |
2.2 |
(76.6–85.3) |
Morris County, New Jersey |
702 |
81.6 |
2.1 |
(77.4–85.7) |
Ocean County, New Jersey |
530 |
72.4 |
2.6 |
(67.3–77.4) |
Passaic County, New Jersey |
502 |
72.7 |
2.7 |
(67.4–77.9) |
Somerset County, New Jersey |
536 |
85.5 |
2.0 |
(81.5–89.4) |
Sussex County, New Jersey |
498 |
82.1 |
2.1 |
(77.9–86.2) |
Union County, New Jersey |
519 |
75.4 |
2.6 |
(70.3–80.4) |
Warren County, New Jersey |
477 |
77.4 |
2.5 |
(72.5–82.3) |
Bernalillo County, New Mexico |
1,262 |
72.8 |
1.9 |
(69.0–76.5) |
TABLE 9. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Dona Ana County, New Mexico |
499 |
67.0 |
3.4 |
(60.3–73.6) |
Sandoval County, New Mexico |
520 |
66.0 |
3.3 |
(59.5–72.4) |
San Juan County, New Mexico |
681 |
64.7 |
2.8 |
(59.2–70.1) |
Santa Fe County, New Mexico |
609 |
69.2 |
2.9 |
(63.5–74.8) |
Valencia County, New Mexico |
350 |
61.1 |
3.8 |
(53.6–68.5) |
Bronx County, New York |
433 |
67.7 |
3.0 |
(61.8–73.5) |
Erie County, New York |
477 |
81.1 |
2.3 |
(76.5–85.6) |
Kings County, New York |
906 |
70.5 |
2.0 |
(66.5–74.4) |
Monroe County, New York |
382 |
73.0 |
3.4 |
(66.3–79.6) |
Nassau County, New York |
478 |
76.1 |
2.6 |
(71.0–81.1) |
New York County, New York |
1,040 |
77.4 |
2.1 |
(73.2–81.5) |
Queens County, New York |
798 |
71.9 |
2.1 |
(67.7–76.0) |
Suffolk County, New York |
593 |
73.5 |
2.6 |
(68.4–78.5) |
Westchester County, New York |
384 |
77.8 |
3.0 |
(71.9–83.6) |
Buncombe County, North Carolina |
263 |
63.7 |
3.9 |
(56.0–71.3) |
Cabarrus County, North Carolina |
304 |
62.5 |
3.8 |
(55.0–69.9) |
Catawba County, North Carolina |
293 |
70.6 |
3.4 |
(63.9–77.2) |
Durham County, North Carolina |
620 |
72.5 |
2.6 |
(67.4–77.5) |
Gaston County, North Carolina |
265 |
64.8 |
4.2 |
(56.5–73.0) |
Guilford County, North Carolina |
693 |
76.6 |
2.2 |
(72.2–80.9) |
Johnston County, North Carolina |
275 |
72.2 |
3.2 |
(65.9–78.4) |
Mecklenburg County, North Carolina |
606 |
78.1 |
2.4 |
(73.3–82.8) |
Orange County, North Carolina |
297 |
70.5 |
4.0 |
(62.6–78.3) |
Randolph County, North Carolina |
395 |
65.5 |
3.4 |
(58.8–72.1) |
Union County, North Carolina |
346 |
69.4 |
3.6 |
(62.3–76.4) |
Wake County, North Carolina |
712 |
77.6 |
2.4 |
(72.8–82.3) |
Burleigh County, North Dakota |
560 |
78.3 |
2.5 |
(73.4–83.2) |
Cass County, North Dakota |
779 |
83.9 |
1.9 |
(80.1–87.6) |
Ward County, North Dakota |
464 |
77.2 |
2.4 |
(72.4–81.9) |
Cuyahoga County, Ohio |
721 |
73.6 |
2.3 |
(69.0–78.1) |
Franklin County, Ohio |
679 |
75.4 |
2.3 |
(70.8–79.9) |
Hamilton County, Ohio |
725 |
75.5 |
2.4 |
(70.7–80.2) |
Lucas County, Ohio |
725 |
74.3 |
2.3 |
(69.7–78.8) |
Mahoning County, Ohio |
727 |
73.0 |
2.4 |
(68.2–77.7) |
Montgomery County, Ohio |
702 |
74.8 |
2.3 |
(70.2–79.3) |
Stark County, Ohio |
714 |
67.8 |
2.5 |
(62.9–72.7) |
Summit County, Ohio |
703 |
73.6 |
2.5 |
(68.7–78.5) |
Cleveland County, Oklahoma |
431 |
70.6 |
2.8 |
(65.1–76.0) |
Oklahoma County, Oklahoma |
1,433 |
57.3 |
1.8 |
(53.7–60.8) |
Tulsa County, Oklahoma |
1,520 |
58.7 |
1.7 |
(55.3–62.0) |
Clackamas County, Oregon |
450 |
76.7 |
2.7 |
(71.4–81.9) |
Lane County, Oregon |
508 |
67.2 |
3.3 |
(60.7–73.6) |
Multnomah County, Oregon |
812 |
76.8 |
2.2 |
(72.4–81.1) |
Washington County, Oregon |
584 |
77.4 |
2.3 |
(72.8–81.9) |
Allegheny County, Pennsylvania |
1,379 |
75.6 |
1.6 |
(72.4–78.7) |
Lehigh County, Pennsylvania |
282 |
75.0 |
3.0 |
(69.1–80.8) |
Luzerne County, Pennsylvania |
310 |
65.5 |
3.9 |
(57.8–73.1) |
Montgomery County, Pennsylvania |
347 |
80.3 |
3.0 |
(74.4–86.1) |
Northampton County, Pennsylvania |
260 |
75.5 |
4.3 |
(67.0–83.9) |
Philadelphia County, Pennsylvania |
1,402 |
62.2 |
1.9 |
(58.4–65.9) |
Westmoreland County, Pennsylvania |
336 |
73.4 |
3.2 |
(67.1–79.6) |
Bristol County, Rhode Island |
278 |
86.3 |
2.6 |
(81.2–91.3) |
Kent County, Rhode Island |
938 |
76.5 |
1.9 |
(72.7–80.2) |
Newport County, Rhode Island |
488 |
83.5 |
2.4 |
(78.7–88.2) |
Providence County, Rhode Island |
4,127 |
77.5 |
1.0 |
(75.5–79.4) |
Washington County, Rhode Island |
746 |
78.7 |
2.5 |
(73.8–83.6) |
Aiken County, South Carolina |
469 |
71.7 |
2.7 |
(66.4–76.9) |
Beaufort County, South Carolina |
679 |
76.0 |
2.5 |
(71.1–80.9) |
Berkeley County, South Carolina |
355 |
NA |
NA |
NA |
Charleston County, South Carolina |
666 |
73.1 |
3.1 |
(67.0–79.1) |
Greenville County, South Carolina |
493 |
70.2 |
3.4 |
(63.5–76.8) |
Horry County, South Carolina |
551 |
62.4 |
3.0 |
(56.5–68.2) |
Richland County, South Carolina |
662 |
63.2 |
3.8 |
(55.7–70.6) |
Minnehaha County, South Dakota |
604 |
81.2 |
2.0 |
(77.2–85.1) |
TABLE 9. (Continued) Estimated prevalence of adults aged ≥18 years who have had a dental visit during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Pennington County, South Dakota |
667 |
74.1 |
2.3 |
(69.5–78.6) |
Davidson County, Tennessee |
418 |
68.1 |
3.6 |
(61.0–75.1) |
Hamilton County, Tennessee |
384 |
71.8 |
3.3 |
(65.3–78.2) |
Knox County, Tennessee |
366 |
74.3 |
3.2 |
(68.0–80.5) |
Shelby County, Tennessee |
393 |
72.0 |
3.5 |
(65.1–78.8) |
Sullivan County, Tennessee |
457 |
72.8 |
2.9 |
(67.1–78.4) |
Bexar County, Texas |
965 |
69.4 |
2.2 |
(65.0–73.7) |
Dallas County, Texas |
392 |
54.7 |
3.8 |
(47.2–62.1) |
El Paso County, Texas |
869 |
55.9 |
2.4 |
(51.1–60.6) |
Fort Bend County, Texas |
923 |
73.8 |
2.1 |
(69.6–77.9) |
Harris County, Texas |
1,452 |
64.0 |
1.9 |
(60.2–67.7) |
Hidalgo County, Texas |
594 |
48.2 |
2.8 |
(42.7–53.6) |
Lubbock County, Texas |
756 |
59.9 |
2.9 |
(54.2–65.5) |
Midland County, Texas |
522 |
66.8 |
2.9 |
(61.1–72.4) |
Potter County, Texas |
336 |
55.9 |
3.7 |
(48.6–63.1) |
Randall County, Texas |
459 |
70.7 |
3.3 |
(64.2–77.1) |
Smith County, Texas |
670 |
67.4 |
2.9 |
(61.7–73.0) |
Tarrant County, Texas |
599 |
64.2 |
3.1 |
(58.1–70.2) |
Travis County, Texas |
757 |
72.7 |
4.1 |
(64.6–80.7) |
Val Verde County, Texas |
553 |
56.4 |
5.1 |
(46.4–66.3) |
Webb County, Texas |
921 |
51.9 |
2.2 |
(47.5–56.2) |
Wichita County, Texas |
678 |
62.7 |
3.1 |
(56.6–68.7) |
Davis County, Utah |
876 |
75.4 |
2.2 |
(71.0–79.7) |
Salt Lake County, Utah |
3,278 |
72.4 |
1.1 |
(70.2–74.5) |
Summit County, Utah |
453 |
79.1 |
2.9 |
(73.4–84.7) |
Tooele County, Utah |
567 |
73.6 |
2.5 |
(68.7–78.5) |
Utah County, Utah |
1,110 |
77.4 |
1.8 |
(73.8–80.9) |
Weber County, Utah |
774 |
74.6 |
2.1 |
(70.4–78.7) |
Chittenden County, Vermont |
1,430 |
84.3 |
1.3 |
(81.7–86.8) |
Franklin County, Vermont |
483 |
75.6 |
2.3 |
(71.0–80.1) |
Orange County, Vermont |
358 |
69.4 |
3.0 |
(63.5–75.2) |
Rutland County, Vermont |
657 |
73.0 |
2.4 |
(68.2–77.7) |
Washington County, Vermont |
668 |
80.7 |
1.9 |
(76.9–84.4) |
Windsor County, Vermont |
680 |
71.6 |
2.3 |
(67.0–76.1) |
Benton County, Washington |
389 |
74.2 |
2.8 |
(68.7–79.6) |
Clark County, Washington |
1,094 |
70.4 |
2.2 |
(66.0–74.7) |
Franklin County, Washington |
254 |
63.6 |
4.7 |
(54.3–72.8) |
King County, Washington |
3,032 |
77.8 |
1.1 |
(75.6–79.9) |
Kitsap County, Washington |
923 |
73.6 |
2.0 |
(69.6–77.5) |
Pierce County, Washington |
1,719 |
73.0 |
1.4 |
(70.2–75.7) |
Snohomish County, Washington |
1,652 |
72.1 |
1.5 |
(69.1–75.0) |
Spokane County, Washington |
1,215 |
72.2 |
1.9 |
(68.4–75.9) |
Thurston County, Washington |
775 |
72.4 |
2.3 |
(67.8–76.9) |
Yakima County, Washington |
739 |
69.3 |
2.4 |
(64.5–74.0) |
Kanawha County, West Virginia |
480 |
68.7 |
3.1 |
(62.6–74.7) |
Milwaukee County, Wisconsin |
1,215 |
74.4 |
2.7 |
(69.1–79.6) |
Laramie County, Wyoming |
910 |
72.5 |
2.0 |
(68.5–76.4) |
Natrona County, Wyoming |
765 |
68.8 |
2.3 |
(64.2–73.3) |
Median |
72.4 |
|||
Range |
47.1-88.2 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Estimate not available if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 11. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
329 |
12.0 |
2.5 |
(7.1–16.9) |
Grand Island, Nebraska |
340 |
15.0 |
2.2 |
(10.6–19.3) |
Grand Rapids-Wyoming, Michigan |
204 |
10.3 |
2.1 |
(6.1–14.4) |
Greensboro-High Point, North Carolina |
399 |
22.5 |
2.5 |
(17.6–27.4) |
Greenville, South Carolina |
292 |
21.8 |
3.1 |
(15.7–27.8) |
Hagerstown-Martinsburg, Maryland-West Virginia |
194 |
22.8 |
3.5 |
(15.9–29.6) |
Hartford-West Hartford-East Hartford, Connecticut |
639 |
9.4 |
1.3 |
(6.8–11.9) |
Hastings, Nebraska |
220 |
16.7 |
2.7 |
(11.4–21.9) |
Helena, Montana |
217 |
19.3 |
3.0 |
(13.4–25.1) |
Hickory-Morganton-Lenoir, North Carolina |
189 |
24.2 |
3.6 |
(17.1–31.2) |
Hilo, Hawaii |
440 |
7.6 |
1.5 |
(4.6–10.5) |
Hilton Head Island-Beaufort, South Carolina |
343 |
9.8 |
1.8 |
(6.2–13.3) |
Homosassa Springs, Florida |
275 |
23.9 |
3.1 |
(17.8–29.9) |
Honolulu, Hawaii |
1,027 |
6.9 |
0.9 |
(5.1–8.6) |
Houston-Sugar Land-Baytown, Texas |
715 |
10.1 |
1.4 |
(7.3–12.8) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
209 |
26.7 |
3.9 |
(19.0–34.3) |
Idaho Falls, Idaho |
201 |
10.4 |
2.2 |
(6.0–14.7) |
Indianapolis-Carmel, Indiana |
664 |
18.6 |
1.8 |
(15.0–22.1) |
Jackson, Mississippi |
262 |
24.7 |
3.1 |
(18.6–30.7) |
Jacksonville, Florida |
867 |
16.3 |
2.2 |
(11.9–20.6) |
Kahului-Wailuku, Hawaii |
454 |
6.1 |
1.3 |
(3.5–8.6) |
Kalispell, Montana |
217 |
13.8 |
2.5 |
(8.9–18.7) |
Kansas City, Missouri-Kansas |
1,070 |
17.9 |
1.5 |
(14.9–20.8) |
Kapaa, Hawaii |
212 |
7.9 |
2.2 |
(3.5–12.2) |
Kennewick-Richland-Pasco, Washington |
177 |
14.2 |
3.2 |
(7.9–20.4) |
Key West-Marathon, Florida |
204 |
8.2 |
1.8 |
(4.6–11.7) |
Kingsport-Bristol, Tennessee-Virginia |
283 |
29.9 |
3.4 |
(23.2–36.5) |
Knoxville, Tennessee |
184 |
30.7 |
4.0 |
(22.8–38.5) |
Lake City, Florida |
179 |
19.7 |
3.5 |
(12.8–26.5) |
Lakeland-Winter Haven, Florida |
219 |
14.9 |
2.8 |
(9.4–20.3) |
Laredo, Texas |
208 |
11.4 |
2.6 |
(6.3–16.4) |
Las Cruces, New Mexico |
200 |
12.6 |
2.6 |
(7.5–17.6) |
Las Vegas-Paradise, Nevada |
410 |
16.3 |
2.0 |
(12.3–20.2) |
Lebanon, New Hampshire-Vermont |
505 |
17.8 |
1.9 |
(14.0–21.5) |
Lewiston, Idaho-Washington |
245 |
15.5 |
2.6 |
(10.4–20.5) |
Lewiston-Auburn, Maine |
157 |
25.2 |
4.1 |
(17.1–33.2) |
Lincoln, Nebraska |
381 |
10.9 |
1.9 |
(7.1–14.6) |
Little Rock-North Little Rock, Arkansas |
305 |
16.2 |
2.4 |
(11.4–20.9) |
Los Angeles-Long Beach-Glendale, California* |
765 |
11.5 |
1.6 |
(8.3–14.6) |
Louisville, Kentucky-Indiana |
272 |
23.0 |
3.0 |
(17.1–28.8) |
Lubbock, Texas |
307 |
16.8 |
2.5 |
(11.9–21.7) |
Manchester-Nashua, New Hampshire |
410 |
19.9 |
2.1 |
(15.7–24.0) |
McAllen-Edinburg-Mission, Texas |
183 |
11.6 |
2.7 |
(6.3–16.8) |
Memphis, Tennessee-Mississippi-Arkansas |
399 |
23.9 |
3.0 |
(18.0–29.7) |
Miami-Fort Lauderdale-Miami Beach, Florida |
371 |
11.9 |
2.1 |
(7.7–16.0) |
Midland, Texas |
208 |
15.3 |
2.8 |
(9.8–20.7) |
Milwaukee-Waukesha-West Allis, Wisconsin |
410 |
14.9 |
2.3 |
(10.3–19.4) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
1,078 |
7.8 |
1.0 |
(5.8–9.7) |
Minot, North Dakota |
169 |
19.5 |
3.1 |
(13.4–25.5) |
Mobile, Alabama |
239 |
24.1 |
3.1 |
(18.0–30.1) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
211 |
16.7 |
3.0 |
(10.8–22.5) |
Naples-Marco Island, Florida |
314 |
7.4 |
1.5 |
(4.4–10.3) |
Nashville-Davidson-Murfreesboro, Tennessee |
258 |
29.6 |
3.7 |
(22.3–36.8) |
Nassau-Suffolk, New York* |
369 |
9.2 |
1.8 |
(5.6–12.7) |
Newark-Union, New Jersey-Pennsylvania* |
785 |
13.2 |
1.6 |
(10.0–16.3) |
New Haven-Milford, Connecticut |
556 |
9.6 |
1.4 |
(6.8–12.3) |
New Orleans-Metairie-Kenner, Louisiana |
454 |
17.9 |
2.2 |
(13.5–22.2) |
New York-White Plains-Wayne, New York-New Jersey* |
1,701 |
11.9 |
0.9 |
(10.1–13.6) |
Norfolk, Nebraska |
243 |
22.3 |
2.9 |
(16.6–27.9) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
213 598 |
13.6 11.4 |
2.4 1.5 |
(8.8–18.3) (8.4 – 14.3) |
Ocala, Florida |
312 |
18.6 |
2.6 |
(13.5–23.6) |
Ocean City, New Jersey |
191 |
16.7 |
3.2 |
(10.4–22.9) |
TABLE 11. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
428 |
11.0 |
1.6 |
(7.8–14.1) |
Oklahoma City, Oklahoma |
778 |
20.7 |
1.7 |
(17.3–24.0) |
Olympia, Washington |
212 |
9.1 |
2.2 |
(4.7–13.4) |
Omaha-Council Bluffs, Nebraska-Iowa |
643 |
14.5 |
1.7 |
(11.1–17.8) |
Orlando-Kissimmee, Florida |
889 |
12.9 |
1.3 |
(10.3–15.4) |
Palm Bay-Melbourne-Titusville, Florida |
236 |
16.4 |
2.7 |
(11.1–21.6) |
Panama City-Lynn Haven, Florida Peabody, Massachusetts |
183 603 |
8.7 12.6 |
2.1 1.9 |
(4.5–12.8) (8.8 – 16.3) |
Pensacola-Ferry Pass-Brent, Florida |
321 |
13.0 |
1.9 |
(9.2–16.7) |
Philadelphia, Pennsylvania* |
745 |
10.7 |
1.3 |
(8.1–13.2) |
Phoenix-Mesa-Scottsdale, Arizona |
657 |
14.5 |
1.6 |
(11.3–17.6) |
Pittsburgh, Pennsylvania |
873 |
18.3 |
1.4 |
(15.5–21.0) |
Portland-South Portland-Biddeford, Maine |
832 |
16.5 |
1.4 |
(13.7–19.2) |
Portland-Vancouver-Beaverton, Oregon-Washington |
1,074 |
13.2 |
1.2 |
(10.8–15.5) |
Port St. Lucie-Fort Pierce, Florida |
490 |
11.2 |
1.6 |
(8.0–14.3) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
2,951 |
18.0 |
1.0 |
(16.0–19.9) |
Provo-Orem, Utah |
257 |
9.1 |
2.0 |
(5.1–13.0) |
Raleigh-Cary, North Carolina |
241 |
18.0 |
3.3 |
(11.5–24.4) |
Rapid City, South Dakota |
284 |
22.2 |
2.7 |
(16.9–27.4) |
Reno-Sparks, Nevada |
393 |
16.2 |
2.2 |
(11.8–20.5) |
Richmond, Virginia |
229 |
16.0 |
2.8 |
(10.5–21.4) |
Riverside-San Bernardino-Ontario, California |
546 |
14.8 |
1.8 |
(11.2–18.3) |
Rochester, New York |
215 |
14.1 |
2.7 |
(8.8–19.3) |
Rockingham County-Strafford County, New Hampshire* |
444 |
15.3 |
2.0 |
(11.3–19.2) |
Rutland, Vermont |
229 |
16.9 |
2.8 |
(11.4–22.3) |
Sacramento-Arden-Arcade-Roseville, California |
448 |
11.0 |
1.8 |
(7.4–14.5) |
St. Louis, Missouri-Illinois |
549 |
12.0 |
1.8 |
(8.4–15.5) |
Salt Lake City, Utah |
988 |
14.2 |
1.3 |
(11.6–16.7) |
San Antonio, Texas |
409 |
15.3 |
2.7 |
(10.0–20.5) |
San Diego-Carlsbad-San Marcos, California |
516 |
8.3 |
1.6 |
(5.1–11.4) |
San Francisco-Oakland-Fremont, California |
739 |
6.1 |
1.1 |
(3.9–8.2) |
San Jose-Sunnyvale-Santa Clara, California |
275 |
4.8 |
2.1 |
(0.6–8.9) |
Santa Ana-Anaheim-Irvine, California* |
432 |
8.0 |
1.8 |
(4.4–11.5) |
Santa Fe, New Mexico |
193 |
13.1 |
2.7 |
(7.8–18.3) |
Scottsbluff, Nebraska |
330 |
23.3 |
4.6 |
(14.2–32.3) |
Scranton-Wilkes-Barre, Pennsylvania |
217 |
22.7 |
3.1 |
(16.6–28.7) |
Seaford, Delaware |
519 |
18.6 |
2.0 |
(14.6–22.5) |
Seattle-Bellevue-Everett, Washington* |
1,346 |
9.3 |
0.9 |
(7.5–11.0) |
Sebring, Florida |
293 |
17.0 |
2.5 |
(12.1–21.9) |
Shreveport-Bossier City, Louisiana |
226 |
24.2 |
3.4 |
(17.5–30.8) |
Sioux City, Iowa-Nebraska-South Dakota |
390 |
19.2 |
3.5 |
(12.3–26.0) |
Sioux Falls, South Dakota |
271 |
18.0 |
2.4 |
(13.2–22.7) |
Spokane, Washington |
394 |
11.8 |
1.7 |
(8.4–15.1) |
Springfield, Massachusetts |
579 |
16.9 |
2.3 |
(12.3–21.4) |
Tacoma, Washington* |
549 |
13.2 |
1.6 |
(10.0–16.3) |
Tallahassee, Florida |
622 |
11.3 |
1.8 |
(7.7–14.8) |
Tampa-St. Petersburg-Clearwater, Florida |
873 |
17.5 |
1.8 |
(13.9–21.0) |
Toledo, Ohio |
251 |
13.8 |
2.4 |
(9.0–18.5) |
Topeka, Kansas |
262 |
16.9 |
2.4 |
(12.1–21.6) |
Trenton-Ewing, New Jersey |
128 |
15.2 |
3.8 |
(7.7–22.6) |
Tucson, Arizona |
305 |
7.1 |
1.6 |
(3.9–10.2) |
Tulsa, Oklahoma |
735 |
20.8 |
1.8 |
(17.2–24.3) |
Tuscaloosa, Alabama |
160 |
27.9 |
4.0 |
(20.0–35.7) |
Twin Falls, Idaho |
203 |
19.1 |
3.1 |
(13.0–25.1) |
Tyler, Texas |
257 |
13.2 |
2.4 |
(8.4–17.9) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
306 |
13.6 |
2.2 |
(9.2–17.9) |
Warren-Troy-Farmington Hills, Michigan* |
630 |
8.5 |
1.2 |
(6.1–10.8) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia* |
1,727 |
10.7 |
1.3 |
(8.1–13.2) |
Wauchula, Florida |
205 |
14.0 |
2.7 |
(8.7–19.2) |
West Palm Beach-Boca Raton-Boynton Beach, Florida* |
262 |
6.0 |
1.5 |
(3.0–8.9) |
Wichita, Kansas |
612 |
13.0 |
1.5 |
(10.0–15.9) |
Wichita Falls, Texas |
343 |
15.0 |
2.3 |
(10.4–19.5) |
Wilmington, Delaware-Maryland-New Jersey* |
627 |
16.8 |
1.8 |
(13.2–20.3) |
TABLE 12. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
204 |
8.2 |
1.8 |
(4.6–11.7) |
Nassau County, Florida |
197 |
22.0 |
4.6 |
(12.9–31.0) |
Orange County, Florida |
253 |
14.4 |
2.6 |
(9.3–19.4) |
Osceola County, Florida |
183 |
14.6 |
3.2 |
(8.3–20.8) |
Palm Beach County, Florida |
262 |
6.0 |
1.5 |
(3.0–8.9) |
Pasco County, Florida |
253 |
19.4 |
2.7 |
(14.1–24.6) |
Pinellas County, Florida |
222 |
16.3 |
2.8 |
(10.8–21.7) |
Polk County, Florida |
219 |
14.9 |
2.8 |
(9.4–20.3) |
St. Johns County, Florida |
208 |
9.4 |
2.3 |
(4.8–13.9) |
St. Lucie County, Florida |
224 |
13.5 |
2.5 |
(8.6–18.4) |
Santa Rosa County, Florida |
145 |
17.1 |
3.2 |
(10.8–23.3) |
Sarasota County, Florida |
352 |
10.7 |
1.8 |
(7.1–14.2) |
Seminole County, Florida |
146 |
8.5 |
2.4 |
(3.7–13.2) |
Volusia County, Florida |
400 |
15.2 |
2.0 |
(11.2–19.1) |
Wakulla County, Florida |
151 |
NA |
NA |
NA |
Cobb County, Georgia |
66 |
11.9 |
4.1 |
(3.8–19.9) |
DeKalb County, Georgia |
86 |
NA |
NA |
NA |
Fulton County, Georgia |
81 |
14.4 |
4.8 |
(4.9–23.8) |
Gwinnett County, Georgia |
52 |
NA |
NA |
NA |
Hawaii County, Hawaii |
440 |
7.6 |
1.5 |
(4.6–10.5) |
Honolulu County, Hawaii |
1,027 |
6.9 |
0.9 |
(5.1–8.6) |
Kauai County, Hawaii |
212 |
7.9 |
2.2 |
(3.5–12.2) |
Maui County, Hawaii |
454 |
6.1 |
1.3 |
(3.5–8.6) |
Ada County, Idaho |
278 |
6.6 |
1.6 |
(3.4–9.7) |
Bonneville County, Idaho |
156 |
11.4 |
2.8 |
(5.9–16.8) |
Canyon County, Idaho |
216 |
14.5 |
2.5 |
(9.6–19.4) |
Kootenai County, Idaho |
220 |
12.8 |
2.3 |
(8.2–17.3) |
Nez Perce County, Idaho |
147 |
17.6 |
3.6 |
(10.5–24.6) |
Twin Falls County, Idaho |
167 |
17.2 |
3.3 |
(10.7–23.6) |
Cook County, Illinois |
924 |
14.3 |
1.4 |
(11.5–17.0) |
DuPage County, Illinois |
72 |
16.1 |
3.6 |
(9.0–23.1) |
Allen County, Indiana |
197 |
16.7 |
3.1 |
(10.6–22.7) |
Lake County, Indiana |
314 |
18.9 |
3.3 |
(12.4–25.3) |
Marion County, Indiana |
454 |
23.9 |
2.7 |
(18.6–29.1) |
Linn County, Iowa |
176 |
13.2 |
2.7 |
(7.9–18.4) |
Polk County, Iowa |
218 |
11.6 |
2.2 |
(7.2–15.9) |
Johnson County, Kansas |
388 |
10.4 |
1.7 |
(7.0–13.7) |
Sedgwick County, Kansas |
462 |
13.8 |
1.7 |
(10.4–17.1) |
Shawnee County, Kansas |
202 |
15.9 |
2.5 |
(11.0–20.8) |
Wyandotte County, Kansas |
208 |
27.7 |
4.0 |
(19.8–35.5) |
Jefferson County, Kentucky |
132 |
17.5 |
3.7 |
(10.2–24.7) |
Caddo Parish, Louisiana |
152 |
21.5 |
4.1 |
(13.4–29.5) |
East Baton Rouge Parish, Louisiana |
205 |
23.5 |
3.6 |
(16.4–30.5) |
Jefferson Parish, Louisiana |
190 |
16.3 |
3.3 |
(9.8–22.7) |
Orleans Parish, Louisiana |
122 |
19.2 |
4.0 |
(11.3–27.0) |
St. Tammany Parish, Louisiana |
95 |
16.2 |
3.8 |
(8.7–23.6) |
Androscoggin County, Maine |
157 |
25.2 |
4.1 |
(17.1–33.2) |
Cumberland County, Maine |
442 |
12.5 |
1.6 |
(9.3–15.6) |
Kennebec County, Maine |
195 |
18.5 |
3.0 |
(12.6–24.3) |
Penobscot County, Maine |
187 |
27.8 |
3.5 |
(20.9–34.6) |
Sagadahoc County, Maine |
87 |
20.7 |
4.8 |
(11.2–30.1) |
York County, Maine |
303 |
21.5 |
2.6 |
(16.4–26.5) |
Anne Arundel County, Maryland |
150 |
11.0 |
2.8 |
(5.5–16.4) |
Baltimore County, Maryland |
289 |
14.6 |
2.3 |
(10.0–19.1) |
Cecil County, Maryland |
65 |
NA |
NA |
NA |
Charles County, Maryland |
67 |
NA |
NA |
NA |
Frederick County, Maryland |
126 |
9.8 |
2.6 |
(4.7–14.8) |
Harford County, Maryland |
61 |
10.1 |
4.5 |
(1.2–18.9) |
Howard County, Maryland |
69 |
NA |
NA |
NA |
Montgomery County, Maryland |
271 |
4.3 |
1.3 |
(1.7–6.8) |
Prince George´s County, Maryland |
182 |
15.6 |
3.0 |
(9.7–21.4) |
Queen Anne´s County, Maryland |
82 |
9.7 |
3.2 |
(3.4–15.9) |
Washington County, Maryland |
124 |
20.3 |
3.9 |
(12.6–27.9) |
TABLE 12. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
139 |
18.9 |
4.2 |
(10.6–27.1) |
Bristol County, Massachusetts |
851 |
25.0 |
2.8 |
(19.5–30.4) |
Essex County, Massachusetts |
603 |
12.8 |
1.9 |
(9.0–16.5) |
Hampden County, Massachusetts |
464 |
16.9 |
2.9 |
(11.2–22.5) |
Hampshire County, Massachusetts |
74 |
14.9 |
5.0 |
(5.1–24.7) |
Middlesex County, Massachusetts |
742 |
9.8 |
1.4 |
(7.0–12.5) |
Norfolk County, Massachusetts |
259 |
10.8 |
1.9 |
(7.0–14.5) |
Plymouth County, Massachusetts |
203 |
15.4 |
3.2 |
(9.1–21.6) |
Suffolk County, Massachusetts |
451 |
16.2 |
2.0 |
(12.2–20.1) |
Worcester County, Massachusetts |
553 |
20.6 |
2.5 |
(15.7–25.5) |
Kent County, Michigan |
143 |
8.7 |
2.3 |
(4.1–13.2) |
Macomb County, Michigan |
191 |
10.8 |
2.4 |
(6.0–15.5) |
Oakland County, Michigan |
327 |
5.5 |
1.3 |
(2.9–8.0) |
Wayne County, Michigan |
660 |
18.5 |
1.9 |
(14.7–22.2) |
Anoka County, Minnesota |
80 |
8.6 |
3.3 |
(2.1–15.0) |
Dakota County, Minnesota |
100 |
5.2 |
2.3 |
(0.6–9.7) |
Hennepin County, Minnesota |
467 |
5.6 |
1.4 |
(2.8–8.3) |
Ramsey County, Minnesota |
229 |
9.7 |
3.0 |
(3.8–15.5) |
Washington County, Minnesota |
62 |
NA |
NA |
NA |
DeSoto County, Mississippi |
147 |
20.7 |
3.9 |
(13.0–28.3) |
Hinds County, Mississippi |
115 |
29.1 |
4.9 |
(19.4–38.7) |
Jackson County, Missouri |
180 |
15.7 |
3.1 |
(9.6–21.7) |
St. Louis County, Missouri |
211 |
12.8 |
2.9 |
(7.1–18.4) |
St. Louis city, Missouri |
192 |
NA |
NA |
NA |
Flathead County, Montana |
217 |
13.8 |
2.5 |
(8.9–18.7) |
Lewis and Clark County, Montana |
181 |
18.6 |
3.2 |
(12.3–24.8) |
Yellowstone County, Montana |
193 |
12.1 |
2.6 |
(7.0–17.1) |
Adams County, Nebraska |
174 |
16.9 |
3.1 |
(10.8–22.9) |
Dakota County, Nebraska |
243 |
28.5 |
3.2 |
(22.2–34.7) |
Douglas County, Nebraska |
266 |
14.0 |
2.4 |
(9.2–18.7) |
Hall County, Nebraska |
227 |
13.5 |
2.5 |
(8.6–18.4) |
Lancaster County, Nebraska |
278 |
11.1 |
2.1 |
(6.9–15.2) |
Lincoln County, Nebraska |
204 |
14.2 |
2.5 |
(9.3–19.1) |
Madison County, Nebraska |
170 |
20.4 |
3.3 |
(13.9–26.8) |
Sarpy County, Nebraska |
151 |
11.1 |
3.0 |
(5.2–16.9) |
Scotts Bluff County, Nebraska |
319 |
23.0 |
4.7 |
(13.7–32.2) |
Seward County, Nebraska |
103 |
8.3 |
2.5 |
(3.4–13.2) |
Clark County, Nevada |
410 |
16.3 |
2.0 |
(12.3–20.2) |
Washoe County, Nevada |
386 |
16.2 |
2.2 |
(11.8–20.5) |
Grafton County, New Hampshire |
167 |
18.8 |
3.4 |
(12.1–25.4) |
Hillsborough County, New Hampshire |
410 |
19.9 |
2.1 |
(15.7–24.0) |
Merrimack County, New Hampshire |
206 |
15.9 |
2.8 |
(10.4–21.3) |
Rockingham County, New Hampshire |
272 |
14.3 |
2.3 |
(9.7–18.8) |
Strafford County, New Hampshire |
172 |
17.5 |
3.4 |
(10.8–24.1) |
Atlantic County, New Jersey |
262 |
17.5 |
2.6 |
(12.4–22.5) |
Bergen County, New Jersey |
179 |
8.3 |
2.2 |
(3.9–12.6) |
Burlington County, New Jersey |
167 |
11.7 |
3.1 |
(5.6–17.7) |
Camden County, New Jersey |
159 |
18.1 |
3.2 |
(11.8–24.3) |
Cape May County, New Jersey |
191 |
16.7 |
3.2 |
(10.4–22.9) |
Essex County, New Jersey |
254 |
19.4 |
3.1 |
(13.3–25.4) |
Gloucester County, New Jersey |
143 |
13.8 |
3.4 |
(7.1–20.4) |
Hudson County, New Jersey |
231 |
17.2 |
2.8 |
(11.7–22.6) |
Hunterdon County, New Jersey |
114 |
5.7 |
2.4 |
(0.9–10.4) |
Mercer County, New Jersey |
128 |
15.2 |
3.8 |
(7.7–22.6) |
Middlesex County, New Jersey |
154 |
13.8 |
3.2 |
(7.5–20.0) |
Monmouth County, New Jersey |
145 |
11.1 |
3.0 |
(5.2–16.9) |
Morris County, New Jersey |
163 |
7.7 |
2.6 |
(2.6–12.7) |
Ocean County, New Jersey |
204 |
13.9 |
2.6 |
(8.8–18.9) |
Passaic County, New Jersey |
144 |
16.2 |
3.6 |
(9.1–23.2) |
Somerset County, New Jersey |
132 |
8.0 |
2.6 |
(2.9–13.0) |
Sussex County, New Jersey |
108 |
15.8 |
3.8 |
(8.3–23.2) |
Union County, New Jersey |
126 |
9.7 |
2.9 |
(4.0–15.3) |
Warren County, New Jersey |
152 |
21.4 |
3.8 |
(13.9–28.8) |
TABLE 12. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
409 |
14.2 |
2.0 |
(10.2–18.1) |
Dona Ana County, New Mexico |
200 |
12.6 |
2.6 |
(7.5–17.6) |
Sandoval County, New Mexico |
152 |
11.7 |
2.7 |
(6.4–16.9) |
San Juan County, New Mexico |
195 |
22.5 |
3.5 |
(15.6–29.3) |
Santa Fe County, New Mexico |
193 |
13.1 |
2.7 |
(7.8–18.3) |
Valencia County, New Mexico |
109 |
23.7 |
4.6 |
(14.6–32.7) |
Bronx County, New York |
114 |
16.1 |
3.9 |
(8.4–23.7) |
Erie County, New York |
175 |
19.5 |
3.4 |
(12.8–26.1) |
Kings County, New York |
230 |
10.8 |
2.1 |
(6.6–14.9) |
Monroe County, New York |
146 |
11.7 |
3.1 |
(5.6–17.7) |
Nassau County, New York |
167 |
4.8 |
1.6 |
(1.6–7.9) |
New York County, New York |
325 |
14.6 |
2.6 |
(9.5–19.6) |
Queens County, New York |
234 |
14.8 |
2.5 |
(9.9–19.7) |
Suffolk County, New York |
202 |
11.7 |
2.4 |
(6.9–16.4) |
Westchester County, New York |
117 |
4.3 |
2.0 |
(0.3–8.2) |
Buncombe County, North Carolina |
102 |
20.5 |
4.1 |
(12.4–28.5) |
Cabarrus County, North Carolina |
101 |
25.0 |
4.8 |
(15.5–34.4) |
Catawba County, North Carolina |
96 |
17.6 |
3.9 |
(9.9–25.2) |
Durham County, North Carolina |
166 |
16.2 |
3.4 |
(9.5–22.8) |
Gaston County, North Carolina |
84 |
NA |
NA |
NA |
Guilford County, North Carolina |
224 |
16.2 |
2.6 |
(11.1–21.2) |
Johnston County, North Carolina |
68 |
NA |
NA |
NA |
Mecklenburg County, North Carolina |
179 |
9.0 |
2.4 |
(4.2–13.7) |
Orange County, North Carolina |
74 |
8.4 |
3.3 |
(1.9–14.8) |
Randolph County, North Carolina |
147 |
32.6 |
4.4 |
(23.9–41.2) |
Union County, North Carolina |
95 |
NA |
NA |
NA |
Wake County, North Carolina |
162 |
11.6 |
2.7 |
(6.3–16.8) |
Burleigh County, North Dakota |
167 |
20.0 |
3.2 |
(13.7–26.2) |
Cass County, North Dakota |
226 |
10.3 |
2.1 |
(6.1–14.4) |
Ward County, North Dakota |
136 |
19.3 |
3.5 |
(12.4–26.1) |
Cuyahoga County, Ohio |
215 |
19.0 |
3.1 |
(12.9–25.0) |
Franklin County, Ohio |
170 |
21.0 |
3.7 |
(13.7–28.2) |
Hamilton County, Ohio |
217 |
16.0 |
2.7 |
(10.7–21.2) |
Lucas County, Ohio |
209 |
17.3 |
2.9 |
(11.6–22.9) |
Mahoning County, Ohio |
246 |
21.4 |
3.8 |
(13.9–28.8) |
Montgomery County, Ohio |
254 |
18.0 |
2.6 |
(12.9–23.0) |
Stark County, Ohio |
225 |
22.4 |
3.1 |
(16.3–28.4) |
Summit County, Ohio |
231 |
19.9 |
3.0 |
(14.0–25.7) |
Cleveland County, Oklahoma |
126 |
14.7 |
3.9 |
(7.0–22.3) |
Oklahoma County, Oklahoma |
465 |
21.2 |
2.2 |
(16.8–25.5) |
Tulsa County, Oklahoma |
505 |
21.6 |
2.1 |
(17.4–25.7) |
Clackamas County, Oregon |
145 |
13.7 |
3.1 |
(7.6–19.7) |
Lane County, Oregon |
180 |
10.9 |
2.5 |
(6.0–15.8) |
Multnomah County, Oregon |
260 |
16.8 |
2.4 |
(12.0–21.5) |
Washington County, Oregon |
184 |
7.3 |
1.9 |
(3.5–11.0) |
Allegheny County, Pennsylvania |
497 |
15.0 |
1.7 |
(11.6–18.3) |
Lehigh County, Pennsylvania |
80 |
10.4 |
3.2 |
(4.1–16.6) |
Luzerne County, Pennsylvania |
118 |
22.9 |
4.1 |
(14.8–30.9) |
Montgomery County, Pennsylvania |
112 |
4.8 |
1.9 |
(1.0–8.5) |
Northampton County, Pennsylvania |
98 |
18.4 |
4.3 |
(9.9–26.8) |
Philadelphia County, Pennsylvania |
450 |
22.3 |
2.2 |
(17.9–26.6) |
Westmoreland County, Pennsylvania |
125 |
24.8 |
4.3 |
(16.3–33.2) |
Bristol County, Rhode Island |
86 |
11.4 |
3.7 |
(4.1–18.6) |
Kent County, Rhode Island |
299 |
14.7 |
2.1 |
(10.5–18.8) |
Newport County, Rhode Island |
169 |
8.6 |
2.1 |
(4.4–12.7) |
Providence County, Rhode Island |
1,287 |
19.2 |
1.2 |
(16.8–21.5) |
Washington County, Rhode Island |
259 |
13.0 |
2.4 |
(8.2–17.7) |
Aiken County, South Carolina |
183 |
17.9 |
3.1 |
(11.8–23.9) |
Beaufort County, South Carolina |
305 |
8.8 |
2.0 |
(4.8–12.7) |
Berkeley County, South Carolina |
111 |
NA |
NA |
NA |
Charleston County, South Carolina |
245 |
8.7 |
2.4 |
(3.9–13.4) |
Greenville County, South Carolina |
191 |
17.5 |
3.4 |
(10.8–24.1) |
Horry County, South Carolina |
211 |
16.7 |
3.0 |
(10.8–22.5) |
TABLE 12. (Continued) Estimated prevalence of adults aged ≥65 years who have had all their natural teeth extracted, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
207 |
11.6 |
2.3 |
(7.0–16.1) |
Minnehaha County, South Dakota |
194 |
21.3 |
3.1 |
(15.2–27.3) |
Pennington County, South Dakota |
218 |
22.0 |
3.1 |
(15.9–28.0) |
Davidson County, Tennessee |
144 |
24.8 |
4.8 |
(15.3–34.2) |
Hamilton County, Tennessee |
137 |
33.1 |
4.9 |
(23.4–42.7) |
Knox County, Tennessee |
125 |
NA |
NA |
NA |
Shelby County, Tennessee |
134 |
23.5 |
4.1 |
(15.4–31.5) |
Sullivan County, Tennessee |
214 |
39.3 |
4.0 |
(31.4–47.1) |
Bexar County, Texas |
354 |
12.4 |
2.1 |
(8.2–16.5) |
Dallas County, Texas |
144 |
11.2 |
2.8 |
(5.7–16.6) |
El Paso County, Texas |
247 |
12.1 |
2.4 |
(7.3–16.8) |
Fort Bend County, Texas |
204 |
11.8 |
2.9 |
(6.1–17.4) |
Harris County, Texas |
393 |
9.3 |
1.6 |
(6.1–12.4) |
Hidalgo County, Texas |
183 |
11.6 |
2.7 |
(6.3–16.8) |
Lubbock County, Texas |
296 |
17.4 |
2.5 |
(12.5–22.3) |
Midland County, Texas |
208 |
15.3 |
2.8 |
(9.8–20.7) |
Potter County, Texas |
108 |
16.1 |
3.6 |
(9.0–23.1) |
Randall County, Texas |
175 |
9.6 |
2.4 |
(4.8–14.3) |
Smith County, Texas |
257 |
13.2 |
2.4 |
(8.4–17.9) |
Tarrant County, Texas |
196 |
14.6 |
2.9 |
(8.9–20.2) |
Travis County, Texas |
186 |
8.1 |
3.2 |
(1.8–14.3) |
Val Verde County, Texas |
191 |
15.2 |
3.0 |
(9.3–21.0) |
Webb County, Texas |
208 |
11.4 |
2.6 |
(6.3–16.4) |
Wichita County, Texas |
288 |
16.0 |
2.3 |
(11.4–20.5) |
Davis County, Utah |
199 |
9.3 |
2.1 |
(5.1–13.4) |
Salt Lake County, Utah |
784 |
14.2 |
1.4 |
(11.4–16.9) |
Summit County, Utah |
89 |
11.3 |
3.7 |
(4.0–18.5) |
Tooele County, Utah |
115 |
14.6 |
3.5 |
(7.7–21.4) |
Utah County, Utah |
240 |
8.7 |
2.0 |
(4.7–12.6) |
Weber County, Utah |
215 |
13.0 |
2.6 |
(7.9–18.0) |
Chittenden County, Vermont |
366 |
13.1 |
1.9 |
(9.3–16.8) |
Franklin County, Vermont |
114 |
25.4 |
4.4 |
(16.7–34.0) |
Orange County, Vermont |
94 |
18.9 |
4.4 |
(10.2–27.5) |
Rutland County, Vermont |
229 |
16.9 |
2.8 |
(11.4–22.3) |
Washington County, Vermont |
230 |
20.4 |
3.0 |
(14.5–26.2) |
Windsor County, Vermont |
244 |
16.3 |
2.5 |
(11.4–21.2) |
Benton County, Washington |
122 |
13.9 |
3.7 |
(6.6–21.1) |
Clark County, Washington |
316 |
13.4 |
2.0 |
(9.4–17.3) |
Franklin County, Washington |
55 |
NA |
NA |
NA |
King County, Washington |
909 |
7.6 |
0.9 |
(5.8–9.3) |
Kitsap County, Washington |
281 |
9.5 |
1.9 |
(5.7–13.2) |
Pierce County, Washington |
549 |
12.8 |
1.5 |
(9.8–15.7) |
Snohomish County, Washington |
437 |
12.7 |
1.7 |
(9.3–16.0) |
Spokane County, Washington |
394 |
11.8 |
1.7 |
(8.4–15.1) |
Thurston County, Washington |
212 |
9.1 |
2.2 |
(4.7–13.4) |
Yakima County, Washington |
245 |
14.2 |
2.3 |
(9.6–18.7) |
Kanawha County, West Virginia |
188 |
31.7 |
3.7 |
(24.4–38.9) |
Milwaukee County, Wisconsin |
320 |
19.0 |
3.3 |
(12.5–25.4) |
Laramie County, Wyoming |
312 |
20.5 |
2.5 |
(15.6–25.4) |
Natrona County, Wyoming |
229 |
21.1 |
3.1 |
(15.0–27.1) |
Median |
14.4 |
|||
Range |
2.4-39.3 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 14. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
947 |
53.2 |
3.7 |
(46.0–60.4) |
Grand Island, Nebraska |
854 |
52.2 |
2.4 |
(47.4–57.0) |
Grand Rapids-Wyoming, Michigan |
618 |
61.9 |
2.9 |
(56.1–67.7) |
Greensboro-High Point, North Carolina |
1,146 |
67.5 |
2.5 |
(62.5–72.5) |
Greenville, South Carolina |
757 |
62.7 |
3.2 |
(56.5–68.9) |
Hagerstown-Martinsburg, Maryland-West Virginia |
638 |
67.5 |
3.0 |
(61.7–73.3) |
Hartford-West Hartford-East Hartford, Connecticut |
2,007 |
72.9 |
1.6 |
(69.7–76.1) |
Hastings, Nebraska |
576 |
57.0 |
3.2 |
(50.7–63.3) |
Helena, Montana |
636 |
58.0 |
2.9 |
(52.3–63.7) |
Hickory-Morganton-Lenoir, North Carolina |
596 |
78.5 |
2.3 |
(74.0–83.0) |
Hilo, Hawaii |
1,462 |
58.5 |
1.8 |
(54.9–62.1) |
Hilton Head Island-Beaufort, South Carolina |
797 |
70.3 |
2.6 |
(65.3–75.3) |
Homosassa Springs, Florida |
532 |
72.9 |
2.9 |
(67.2–78.6) |
Honolulu, Hawaii |
2,937 |
64.0 |
1.2 |
(61.6–66.4) |
Houston-Sugar Land-Baytown, Texas |
2,723 |
61.7 |
1.7 |
(58.4–65.0) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
648 |
70.2 |
2.8 |
(64.7–75.7) |
Idaho Falls, Idaho |
661 |
57.5 |
2.6 |
(52.4–62.6) |
Indianapolis-Carmel, Indiana |
2,242 |
67.5 |
1.6 |
(64.4–70.6) |
Jackson, Mississippi |
756 |
71.7 |
2.4 |
(67.0–76.4) |
Jacksonville, Florida |
2,573 |
69.5 |
2.1 |
(65.5–73.5) |
Kahului-Wailuku, Hawaii |
1,453 |
55.7 |
2.1 |
(51.6–59.8) |
Kalispell, Montana |
694 |
54.2 |
2.6 |
(49.2–59.2) |
Kansas City, Missouri-Kansas |
3,329 |
69.2 |
1.4 |
(66.5–71.9) |
Kapaa, Hawaii |
637 |
56.2 |
2.9 |
(50.5–61.9) |
Kennewick-Richland-Pasco, Washington |
634 |
63.9 |
2.7 |
(58.7–69.1) |
Key West-Marathon, Florida |
503 |
67.0 |
3.1 |
(60.9–73.1) |
Kingsport-Bristol, Tennessee-Virginia |
648 |
75.3 |
3.6 |
(68.3–82.3) |
Knoxville, Tennessee |
527 |
78.5 |
2.8 |
(73.0–84.0) |
Lake City, Florida |
564 |
66.1 |
3.3 |
(59.7–72.5) |
Lakeland-Winter Haven, Florida |
516 |
65.1 |
3.2 |
(58.9–71.3) |
Laredo, Texas |
910 |
53.9 |
2.2 |
(49.5–58.3) |
Las Cruces, New Mexico |
495 |
63.6 |
3.5 |
(56.7–70.5) |
Las Vegas-Paradise, Nevada |
1,257 |
62.4 |
1.9 |
(58.7–66.1) |
Lebanon, New Hampshire-Vermont |
1,546 |
68.4 |
1.7 |
(65.0–71.8) |
Lewiston, Idaho-Washington |
598 |
59.3 |
2.9 |
(53.6–65.0) |
Lewiston-Auburn, Maine |
498 |
70.9 |
2.8 |
(65.4–76.4) |
Lincoln, Nebraska |
1,126 |
54.8 |
2.6 |
(49.8–59.8) |
Little Rock-North Little Rock, Arkansas |
813 |
60.9 |
2.9 |
(55.2–66.6) |
Los Angeles-Long Beach-Glendale, California* |
2,608 |
65.8 |
1.3 |
(63.3–68.3) |
Louisville, Kentucky-Indiana |
898 |
59.7 |
2.4 |
(55.0–64.4) |
Lubbock, Texas |
776 |
64.4 |
2.9 |
(58.7–70.1) |
Manchester-Nashua, New Hampshire |
1,414 |
71.3 |
1.8 |
(67.8–74.8) |
McAllen-Edinburg-Mission, Texas |
588 |
50.9 |
2.8 |
(45.3–56.5) |
Memphis, Tennessee-Mississippi-Arkansas |
1,150 |
75.8 |
2.8 |
(70.3–81.3) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,025 |
64.7 |
2.3 |
(60.1–69.3) |
Midland, Texas |
522 |
59.9 |
3.1 |
(53.8–66.0) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,524 |
72.2 |
2.2 |
(67.8–76.6) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
4,825 |
71.6 |
1.3 |
(69.0–74.2) |
Minot, North Dakota |
553 |
69.2 |
2.7 |
(64.0–74.4) |
Mobile, Alabama |
671 |
74.4 |
2.9 |
(68.8–80.0) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
552 |
64.2 |
3.1 |
(58.1–70.3) |
Naples-Marco Island, Florida |
518 |
70.8 |
3.2 |
(64.5–77.1) |
Nashville-Davidson-Murfreesboro, Tennessee |
823 |
80.5 |
2.2 |
(76.2–84.8) |
Nassau-Suffolk, New York* |
1,064 |
73.3 |
1.9 |
(69.7–76.9) |
Newark-Union, New Jersey-Pennsylvania* |
3,301 |
76.0 |
1.2 |
(73.7–78.3) |
New Haven-Milford, Connecticut |
1,659 |
69.7 |
1.9 |
(65.9–73.5) |
New Orleans-Metairie-Kenner, Louisiana |
1,521 |
72.8 |
1.9 |
(69.2–76.4) |
New York-White Plains-Wayne, New York-New Jersey* |
6,132 |
75.2 |
0.9 |
(73.5–76.9) |
Norfolk, Nebraska |
667 |
60.3 |
2.8 |
(54.9–65.7) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
572 1,126 |
57.5 69.6 |
3.1 2.4 |
(51.4–63.6) (64.8–74.0) |
Ocala, Florida |
585 |
65.3 |
3.2 |
(59.1–71.5) |
Ocean City, New Jersey |
514 |
81.6 |
2.4 |
(76.8–86.4) |
TABLE 14. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
1,661 |
61.9 |
1.7 |
(58.6–65.2) |
Oklahoma City, Oklahoma |
2,419 |
57.4 |
1.4 |
(54.7–60.1) |
Olympia, Washington |
763 |
58.0 |
2.5 |
(53.1–62.9) |
Omaha-Council Bluffs, Nebraska-Iowa |
2,337 |
60.1 |
1.5 |
(57.1–63.1) |
Orlando-Kissimmee, Florida |
2,659 |
68.3 |
1.5 |
(65.3–71.3) |
Palm Bay-Melbourne-Titusville, Florida |
525 |
64.9 |
3.0 |
(59.0–70.8) |
Panama City-Lynn Haven, Florida Peabody, Massachusetts |
540 2,099 |
62.8 80.6 |
3.5 1.7 |
(56.0–69.6) (77.0–83.7) |
Pensacola-Ferry Pass-Brent, Florida |
1,009 |
65.2 |
2.5 |
(60.4–70.0) |
Philadelphia, Pennsylvania* |
2,357 |
68.6 |
1.6 |
(65.5–71.7) |
Phoenix-Mesa-Scottsdale, Arizona |
1,678 |
66.8 |
1.9 |
(63.0–70.6) |
Pittsburgh, Pennsylvania |
2,405 |
67.7 |
1.4 |
(64.9–70.5) |
Portland-South Portland-Biddeford, Maine |
2,618 |
71.6 |
1.3 |
(69.1–74.1) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,320 |
52.1 |
1.4 |
(49.3–54.9) |
Port St. Lucie-Fort Pierce, Florida |
1,015 |
70.6 |
2.5 |
(65.7–75.5) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
9,468 |
79.4 |
0.8 |
(77.7–81.1) |
Provo-Orem, Utah |
1,154 |
53.8 |
2.3 |
(49.3–58.3) |
Raleigh-Cary, North Carolina |
1,016 |
75.6 |
2.0 |
(71.7–79.5) |
Rapid City, South Dakota |
842 |
64.7 |
2.2 |
(60.5–68.9) |
Reno-Sparks, Nevada |
1,315 |
61.9 |
1.8 |
(58.3–65.5) |
Richmond, Virginia |
792 |
75.5 |
2.9 |
(69.9–81.1) |
Riverside-San Bernardino-Ontario, California |
1,877 |
63.1 |
1.6 |
(59.9–66.3) |
Rochester, New York |
561 |
65.2 |
3.0 |
(59.4–71.0) |
Rockingham County-Strafford County, New Hampshire* |
1,605 |
72.8 |
1.6 |
(69.7–75.9) |
Rutland, Vermont |
657 |
65.0 |
2.5 |
(60.1–69.9) |
Sacramento-Arden-Arcade-Roseville, California |
1,291 |
64.6 |
2.1 |
(60.5–68.7) |
St. Louis, Missouri-Illinois |
1,737 |
64.9 |
2.1 |
(60.8–69.0) |
Salt Lake City, Utah |
4,262 |
58.4 |
1.1 |
(56.3–60.5) |
San Antonio, Texas |
1,127 |
61.3 |
2.3 |
(56.7–65.9) |
San Diego-Carlsbad-San Marcos, California |
1,695 |
60.1 |
1.7 |
(56.8–63.4) |
San Francisco-Oakland-Fremont, California |
2,354 |
65.7 |
1.4 |
(63.0–68.4) |
San Jose-Sunnyvale-Santa Clara, California |
910 |
63.9 |
2.2 |
(59.6–68.2) |
Santa Ana-Anaheim-Irvine, California* |
1,444 |
63.6 |
1.8 |
(60.1–67.1) |
Santa Fe, New Mexico |
608 |
57.5 |
2.9 |
(51.8–63.2) |
Scottsbluff, Nebraska |
745 |
53.8 |
2.8 |
(48.4–59.2) |
Scranton-Wilkes-Barre, Pennsylvania |
555 |
68.8 |
3.0 |
(63.0–74.6) |
Seaford, Delaware |
1,236 |
80.2 |
1.9 |
(76.4–84.0) |
Seattle-Bellevue-Everett, Washington* |
4,630 |
61.6 |
1.0 |
(59.6–63.6) |
Sebring, Florida |
518 |
67.0 |
3.2 |
(60.8–73.2) |
Shreveport-Bossier City, Louisiana |
678 |
77.2 |
2.4 |
(72.6–81.8) |
Sioux City, Iowa-Nebraska-South Dakota |
1,209 |
66.5 |
3.0 |
(60.7–72.3) |
Sioux Falls, South Dakota |
835 |
72.3 |
2.2 |
(68.0–76.6) |
Spokane, Washington |
1,196 |
63.6 |
2.0 |
(59.6–67.6) |
Springfield, Massachusetts |
2,036 |
75.8 |
2.2 |
(71.4–80.2) |
Tacoma, Washington* |
1,694 |
65.2 |
1.6 |
(62.1–68.3) |
Tallahassee, Florida |
2,036 |
69.5 |
2.5 |
(64.5–74.5) |
Tampa-St. Petersburg-Clearwater, Florida |
2,022 |
70.6 |
1.9 |
(66.8–74.4) |
Toledo, Ohio |
854 |
70.4 |
2.6 |
(65.3–75.5) |
Topeka, Kansas |
823 |
73.5 |
2.2 |
(69.3–77.7) |
Trenton-Ewing, New Jersey |
497 |
75.3 |
2.8 |
(69.7–80.9) |
Tucson, Arizona |
690 |
62.9 |
3.1 |
(56.8–69.0) |
Tulsa, Oklahoma |
2,106 |
58.5 |
1.5 |
(55.5–61.5) |
Tuscaloosa, Alabama |
513 |
74.4 |
3.2 |
(68.1–80.7) |
Twin Falls, Idaho |
537 |
56.9 |
3.1 |
(50.8–63.0) |
Tyler, Texas |
670 |
64.5 |
3.3 |
(58.0–71.0) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,100 |
76.4 |
2.5 |
(71.5–81.3) |
Warren-Troy-Farmington Hills, Michigan* |
1,793 |
68.6 |
1.8 |
(65.1–72.1) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia* |
6,388 |
75.7 |
1.7 |
(72.4–79.0) |
Wauchula, Florida |
526 |
61.8 |
3.8 |
(54.3–69.3) |
West Palm Beach-Boca Raton-Boynton Beach, Florida* |
549 |
75.1 |
2.9 |
(69.4–80.8) |
Wichita, Kansas |
1,831 |
70.7 |
1.6 |
(67.6–73.8) |
Wichita Falls, Texas |
824 |
61.0 |
2.9 |
(55.3–66.7) |
Wilmington, Delaware-Maryland-New Jersey* |
2,195 |
73.9 |
1.4 |
(71.2–76.6) |
TABLE 14. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
2,093 |
80.9 |
1.6 |
(77.7–84.1) |
Yakima, Washington |
731 |
57.4 |
2.8 |
(52.0–62.8) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,049 |
68.6 |
2.9 |
(62.9–74.3) |
Median |
67.0 |
|||
Range |
49.5-82.6 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Metropolitan division. |
TABLE 15. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
503 |
67.0 |
3.1 |
(60.9–73.1) |
Nassau County, Florida |
519 |
NA |
NA |
NA |
Orange County, Florida |
1,003 |
69.8 |
2.2 |
(65.4–74.2) |
Osceola County, Florida |
564 |
60.9 |
3.3 |
(54.5–67.3) |
Palm Beach County, Florida |
549 |
75.1 |
2.9 |
(69.4–80.8) |
Pasco County, Florida |
537 |
65.8 |
3.6 |
(58.8–72.8) |
Pinellas County, Florida |
492 |
76.4 |
3.1 |
(70.3–82.5) |
Polk County, Florida |
516 |
65.1 |
3.2 |
(58.9–71.3) |
St. Johns County, Florida |
518 |
71.3 |
2.9 |
(65.6–77.0) |
St. Lucie County, Florida |
498 |
70.7 |
3.1 |
(64.6–76.8) |
Santa Rosa County, Florida |
493 |
68.7 |
3.1 |
(62.7–74.7) |
Sarasota County, Florida |
605 |
70.5 |
3.1 |
(64.5–76.5) |
Seminole County, Florida |
486 |
61.5 |
3.2 |
(55.2–67.8) |
Volusia County, Florida |
853 |
65.2 |
2.9 |
(59.6–70.8) |
Wakulla County, Florida |
534 |
66.1 |
3.7 |
(58.9–73.3) |
Cobb County, Georgia |
252 |
74.6 |
3.6 |
(67.5–81.7) |
DeKalb County, Georgia |
341 |
79.3 |
3.1 |
(73.3–85.3) |
Fulton County, Georgia |
325 |
76.5 |
3.5 |
(69.7–83.3) |
Gwinnett County, Georgia |
250 |
73.3 |
3.7 |
(66.0–80.6) |
Hawaii County, Hawaii |
1,462 |
58.5 |
1.8 |
(54.9–62.1) |
Honolulu County, Hawaii |
2,937 |
64.0 |
1.2 |
(61.6–66.4) |
Kauai County, Hawaii |
637 |
56.2 |
2.9 |
(50.5–61.9) |
Maui County, Hawaii |
1,453 |
55.7 |
2.1 |
(51.6–59.8) |
Ada County, Idaho |
863 |
59.7 |
2.6 |
(54.6–64.8) |
Bonneville County, Idaho |
518 |
59.5 |
2.9 |
(53.9–65.1) |
Canyon County, Idaho |
617 |
53.0 |
2.8 |
(47.5–58.5) |
Kootenai County, Idaho |
562 |
56.3 |
3.2 |
(50.0–62.6) |
Nez Perce County, Idaho |
380 |
56.7 |
3.5 |
(49.9–63.5) |
Twin Falls County, Idaho |
431 |
57.0 |
3.3 |
(50.5–63.5) |
Cook County, Illinois |
2,883 |
69.0 |
1.3 |
(66.4–71.6) |
DuPage County, Illinois |
256 |
53.7 |
3.9 |
(46.1–61.3) |
Allen County, Indiana |
579 |
55.9 |
2.8 |
(50.4–61.4) |
Lake County, Indiana |
991 |
61.3 |
3.0 |
(55.4–67.2) |
Marion County, Indiana |
1,456 |
71.5 |
2.1 |
(67.4–75.6) |
Linn County, Iowa |
489 |
73.6 |
2.8 |
(68.1–79.1) |
Polk County, Iowa |
758 |
71.3 |
2.3 |
(66.8–75.8) |
Johnson County, Kansas |
1,393 |
75.5 |
1.5 |
(72.5–78.5) |
Sedgwick County, Kansas |
1,421 |
70.6 |
1.7 |
(67.2–74.0) |
Shawnee County, Kansas |
616 |
73.3 |
2.7 |
(68.1–78.5) |
Wyandotte County, Kansas |
594 |
66.8 |
3.2 |
(60.6–73.0) |
Jefferson County, Kentucky |
400 |
58.3 |
3.4 |
(51.7–64.9) |
Caddo Parish, Louisiana |
442 |
77.1 |
2.7 |
(71.8–82.4) |
East Baton Rouge Parish, Louisiana |
717 |
79.6 |
2.2 |
(75.2–84.0) |
Jefferson Parish, Louisiana |
591 |
71.6 |
2.7 |
(66.2–77.0) |
Orleans Parish, Louisiana |
374 |
76.2 |
3.2 |
(69.9–82.5) |
St. Tammany Parish, Louisiana |
367 |
70.1 |
4.0 |
(62.3–77.9) |
Androscoggin County, Maine |
498 |
70.9 |
2.8 |
(65.4–76.4) |
Cumberland County, Maine |
1,382 |
72.0 |
1.8 |
(68.5–75.5) |
Kennebec County, Maine |
647 |
70.5 |
2.5 |
(65.5–75.5) |
Penobscot County, Maine |
690 |
70.7 |
2.5 |
(65.9–75.5) |
Sagadahoc County, Maine |
297 |
72.8 |
3.2 |
(66.5–79.1) |
York County, Maine |
939 |
71.2 |
2.0 |
(67.2–75.2) |
Anne Arundel County, Maryland |
597 |
76.5 |
2.6 |
(71.5–81.5) |
Baltimore County, Maryland |
1,049 |
81.5 |
1.6 |
(78.3–84.7) |
Cecil County, Maryland |
267 |
73.1 |
3.7 |
(65.8–80.4) |
Charles County, Maryland |
346 |
81.0 |
3.1 |
(75.0–87.0) |
Frederick County, Maryland |
575 |
71.0 |
2.6 |
(65.9–76.1) |
Harford County, Maryland |
279 |
79.2 |
3.0 |
(73.4–85.0) |
Howard County, Maryland |
340 |
77.4 |
2.8 |
(72.0–82.8) |
Montgomery County, Maryland |
1,060 |
76.5 |
1.8 |
(73.0–80.0) |
Prince George´s County, Maryland |
791 |
80.4 |
2.0 |
(76.5–84.3) |
Queen Anne´s County, Maryland |
293 |
73.0 |
3.5 |
(66.1–79.9) |
Washington County, Maryland |
401 |
69.7 |
3.2 |
(63.3–76.1) |
TABLE 15. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
529 |
78.0 |
2.7 |
(72.7–83.3) |
Bristol County, Massachusetts |
2,903 |
81.0 |
1.9 |
(77.3–84.7) |
Essex County, Massachusetts |
2,127 |
81.3 |
1.7 |
(77.9–84.7) |
Hampden County, Massachusetts |
1,580 |
79.8 |
1.9 |
(76.1–83.5) |
Hampshire County, Massachusetts |
274 |
73.7 |
4.4 |
(65.1–82.3) |
Middlesex County, Massachusetts |
3,015 |
77.9 |
1.4 |
(75.2–80.6) |
Norfolk County, Massachusetts |
856 |
83.3 |
1.8 |
(79.8–86.8) |
Plymouth County, Massachusetts |
684 |
85.3 |
2.0 |
(81.3–89.3) |
Suffolk County, Massachusetts |
1,749 |
79.4 |
1.8 |
(75.8–83.0) |
Worcester County, Massachusetts |
2,093 |
80.9 |
1.6 |
(77.7–84.1) |
Kent County, Michigan |
441 |
62.5 |
3.4 |
(55.7–69.3) |
Macomb County, Michigan |
514 |
73.1 |
2.7 |
(67.9–78.3) |
Oakland County, Michigan |
932 |
68.0 |
2.4 |
(63.4–72.6) |
Wayne County, Michigan |
1,902 |
67.8 |
1.9 |
(64.1–71.5) |
Anoka County, Minnesota |
393 |
75.7 |
3.2 |
(69.5–81.9) |
Dakota County, Minnesota |
564 |
75.4 |
2.7 |
(70.1–80.7) |
Hennepin County, Minnesota |
2,037 |
73.6 |
2.0 |
(69.7–77.5) |
Ramsey County, Minnesota |
912 |
67.5 |
3.7 |
(60.3–74.7) |
Washington County, Minnesota |
257 |
72.7 |
3.9 |
(65.1–80.3) |
DeSoto County, Mississippi |
368 |
57.3 |
3.9 |
(49.6–65.0) |
Hinds County, Mississippi |
339 |
75.6 |
3.3 |
(69.2–82.0) |
Jackson County, Missouri |
523 |
68.2 |
2.8 |
(62.7–73.7) |
St. Louis County, Missouri |
597 |
65.8 |
3.5 |
(59.0–72.6) |
St. Louis city, Missouri |
642 |
68.6 |
3.9 |
(60.9–76.3) |
Flathead County, Montana |
694 |
54.2 |
2.6 |
(49.2–59.2) |
Lewis and Clark County, Montana |
529 |
57.6 |
2.9 |
(52.0–63.2) |
Yellowstone County, Montana |
482 |
60.2 |
3.2 |
(53.9–66.5) |
Adams County, Nebraska |
469 |
58.3 |
3.5 |
(51.4–65.2) |
Dakota County, Nebraska |
732 |
54.8 |
2.5 |
(49.9–59.7) |
Douglas County, Nebraska |
941 |
58.2 |
2.3 |
(53.7–62.7) |
Hall County, Nebraska |
583 |
51.6 |
3.0 |
(45.8–57.4) |
Lancaster County, Nebraska |
845 |
55.1 |
2.7 |
(49.8–60.4) |
Lincoln County, Nebraska |
541 |
58.3 |
3.2 |
(52.0–64.6) |
Madison County, Nebraska |
460 |
61.9 |
3.4 |
(55.2–68.6) |
Sarpy County, Nebraska |
575 |
59.3 |
3.1 |
(53.2–65.4) |
Scotts Bluff County, Nebraska |
722 |
52.1 |
2.8 |
(46.6–57.6) |
Seward County, Nebraska |
281 |
52.1 |
4.2 |
(43.9–60.3) |
Clark County, Nevada |
1,257 |
62.4 |
1.9 |
(58.7–66.1) |
Washoe County, Nevada |
1,295 |
62.0 |
1.8 |
(58.4–65.6) |
Grafton County, New Hampshire |
512 |
72.3 |
2.9 |
(66.6–78.0) |
Hillsborough County, New Hampshire |
1,414 |
71.3 |
1.8 |
(67.8–74.8) |
Merrimack County, New Hampshire |
641 |
67.8 |
2.9 |
(62.0–73.6) |
Rockingham County, New Hampshire |
1,020 |
74.0 |
1.9 |
(70.3–77.7) |
Strafford County, New Hampshire |
585 |
69.4 |
2.8 |
(64.0–74.8) |
Atlantic County, New Jersey |
909 |
76.0 |
2.1 |
(71.9–80.1) |
Bergen County, New Jersey |
618 |
74.3 |
2.5 |
(69.4–79.2) |
Burlington County, New Jersey |
559 |
78.9 |
2.5 |
(74.1–83.7) |
Camden County, New Jersey |
594 |
74.7 |
2.6 |
(69.5–79.9) |
Cape May County, New Jersey |
514 |
81.6 |
2.4 |
(76.8–86.4) |
Essex County, New Jersey |
1,022 |
78.0 |
1.8 |
(74.4–81.6) |
Gloucester County, New Jersey |
520 |
75.7 |
2.7 |
(70.3–81.1) |
Hudson County, New Jersey |
1,088 |
75.8 |
1.8 |
(72.3–79.3) |
Hunterdon County, New Jersey |
508 |
74.9 |
2.5 |
(70.0–79.8) |
Mercer County, New Jersey |
497 |
75.3 |
2.8 |
(69.7–80.9) |
Middlesex County, New Jersey |
624 |
80.4 |
2.2 |
(76.1–84.7) |
Monmouth County, New Jersey |
560 |
78.9 |
2.4 |
(74.2–83.6) |
Morris County, New Jersey |
697 |
72.6 |
2.4 |
(68.0–77.2) |
Ocean County, New Jersey |
532 |
79.9 |
2.4 |
(75.2–84.6) |
Passaic County, New Jersey |
495 |
74.3 |
2.8 |
(68.7–79.9) |
Somerset County, New Jersey |
531 |
77.9 |
2.2 |
(73.6–82.2) |
Sussex County, New Jersey |
499 |
74.8 |
2.5 |
(69.8–79.8) |
Union County, New Jersey |
517 |
75.9 |
2.6 |
(70.8–81.0) |
Warren County, New Jersey |
478 |
75.5 |
2.7 |
(70.3–80.7) |
TABLE 15. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
1,249 |
67.8 |
2.0 |
(63.8–71.8) |
Dona Ana County, New Mexico |
495 |
63.6 |
3.5 |
(56.7–70.5) |
Sandoval County, New Mexico |
519 |
58.2 |
3.5 |
(51.4–65.0) |
San Juan County, New Mexico |
681 |
54.8 |
2.8 |
(49.2–60.4) |
Santa Fe County, New Mexico |
608 |
57.5 |
2.9 |
(51.8–63.2) |
Valencia County, New Mexico |
347 |
60.7 |
3.8 |
(53.3–68.1) |
Bronx County, New York |
428 |
73.3 |
3.2 |
(67.1–79.5) |
Erie County, New York |
477 |
79.6 |
2.7 |
(74.3–84.9) |
Kings County, New York |
897 |
77.6 |
1.9 |
(73.9–81.3) |
Monroe County, New York |
379 |
66.3 |
3.4 |
(59.6–73.0) |
Nassau County, New York |
475 |
75.2 |
2.7 |
(69.9–80.5) |
New York County, New York |
1,031 |
73.9 |
2.1 |
(69.8–78.0) |
Queens County, New York |
795 |
77.1 |
2.2 |
(72.7–81.5) |
Suffolk County, New York |
589 |
71.2 |
2.6 |
(66.1–76.3) |
Westchester County, New York |
382 |
71.3 |
3.1 |
(65.2–77.4) |
Buncombe County, North Carolina |
260 |
71.2 |
4.0 |
(63.4–79.0) |
Cabarrus County, North Carolina |
305 |
66.2 |
3.7 |
(58.9–73.5) |
Catawba County, North Carolina |
290 |
76.8 |
3.4 |
(70.1–83.5) |
Durham County, North Carolina |
619 |
78.1 |
2.5 |
(73.2–83.0) |
Gaston County, North Carolina |
264 |
67.6 |
4.1 |
(59.6–75.6) |
Guilford County, North Carolina |
690 |
67.6 |
2.8 |
(62.1–73.1) |
Johnston County, North Carolina |
273 |
78.7 |
3.2 |
(72.4–85.0) |
Mecklenburg County, North Carolina |
601 |
77.7 |
2.4 |
(73.1–82.3) |
Orange County, North Carolina |
296 |
69.9 |
4.0 |
(62.0–77.8) |
Randolph County, North Carolina |
393 |
62.5 |
3.6 |
(55.5–69.5) |
Union County, North Carolina |
343 |
71.5 |
3.6 |
(64.4–78.6) |
Wake County, North Carolina |
706 |
75.4 |
2.5 |
(70.6–80.2) |
Burleigh County, North Dakota |
559 |
57.6 |
3.2 |
(51.3–63.9) |
Cass County, North Dakota |
773 |
69.4 |
2.7 |
(64.1–74.7) |
Ward County, North Dakota |
462 |
70.9 |
2.9 |
(65.2–76.6) |
Cuyahoga County, Ohio |
714 |
73.7 |
2.3 |
(69.2–78.2) |
Franklin County, Ohio |
676 |
71.0 |
2.7 |
(65.8–76.2) |
Hamilton County, Ohio |
719 |
70.8 |
2.5 |
(65.9–75.7) |
Lucas County, Ohio |
722 |
73.3 |
2.3 |
(68.7–77.9) |
Mahoning County, Ohio |
719 |
71.5 |
2.8 |
(66.1–76.9) |
Montgomery County, Ohio |
694 |
70.5 |
2.7 |
(65.3–75.7) |
Stark County, Ohio |
710 |
65.1 |
2.6 |
(59.9–70.3) |
Summit County, Ohio |
698 |
70.3 |
2.8 |
(64.8–75.8) |
Cleveland County, Oklahoma |
425 |
54.0 |
3.2 |
(47.7–60.3) |
Oklahoma County, Oklahoma |
1,403 |
58.5 |
1.8 |
(55.0–62.0) |
Tulsa County, Oklahoma |
1,494 |
59.9 |
1.7 |
(56.5–63.3) |
Clackamas County, Oregon |
438 |
57.6 |
3.2 |
(51.3–63.9) |
Lane County, Oregon |
498 |
49.5 |
3.3 |
(43.0–56.0) |
Multnomah County, Oregon |
798 |
50.1 |
2.6 |
(45.1–55.1) |
Washington County, Oregon |
572 |
53.4 |
2.9 |
(47.7–59.1) |
Allegheny County, Pennsylvania |
1,372 |
65.3 |
1.9 |
(61.6–69.0) |
Lehigh County, Pennsylvania |
283 |
65.7 |
3.4 |
(59.1–72.3) |
Luzerne County, Pennsylvania |
313 |
65.9 |
3.8 |
(58.4–73.4) |
Montgomery County, Pennsylvania |
346 |
63.7 |
3.6 |
(56.6–70.8) |
Northampton County, Pennsylvania |
257 |
63.6 |
4.9 |
(53.9–73.3) |
Philadelphia County, Pennsylvania |
1,397 |
74.9 |
1.8 |
(71.4–78.4) |
Westmoreland County, Pennsylvania |
336 |
71.9 |
3.3 |
(65.4–78.4) |
Bristol County, Rhode Island |
276 |
78.1 |
3.6 |
(71.1–85.1) |
Kent County, Rhode Island |
933 |
80.2 |
1.9 |
(76.5–83.9) |
Newport County, Rhode Island |
482 |
76.9 |
3.0 |
(71.0–82.8) |
Providence County, Rhode Island |
4,130 |
79.3 |
1.1 |
(77.1–81.5) |
Washington County, Rhode Island |
744 |
79.3 |
2.5 |
(74.5–84.1) |
Aiken County, South Carolina |
466 |
70.6 |
2.8 |
(65.1–76.1) |
Beaufort County, South Carolina |
675 |
71.2 |
2.7 |
(65.9–76.5) |
Berkeley County, South Carolina |
352 |
NA |
NA |
NA |
Charleston County, South Carolina |
664 |
68.3 |
3.3 |
(61.9–74.7) |
Greenville County, South Carolina |
483 |
65.9 |
3.6 |
(58.8–73.0) |
Horry County, South Carolina |
552 |
64.2 |
3.1 |
(58.2–70.2) |
TABLE 15. (Continued) Estimated prevalence of adults aged ≥18 years who visited a doctor for a routine checkup during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
653 |
70.2 |
3.5 |
(63.3–77.1) |
Minnehaha County, South Dakota |
602 |
74.8 |
2.5 |
(69.9–79.7) |
Pennington County, South Dakota |
663 |
66.4 |
2.5 |
(61.5–71.3) |
Davidson County, Tennessee |
414 |
81.3 |
3.0 |
(75.5–87.1) |
Hamilton County, Tennessee |
386 |
80.0 |
3.4 |
(73.3–86.7) |
Knox County, Tennessee |
368 |
80.3 |
3.1 |
(74.3–86.3) |
Shelby County, Tennessee |
393 |
81.7 |
3.4 |
(74.9–88.5) |
Sullivan County, Tennessee |
459 |
83.8 |
2.7 |
(78.5–89.1) |
Bexar County, Texas |
970 |
64.2 |
2.4 |
(59.5–68.9) |
Dallas County, Texas |
388 |
62.1 |
3.9 |
(54.4–69.8) |
El Paso County, Texas |
861 |
53.1 |
2.5 |
(48.2–58.0) |
Fort Bend County, Texas |
917 |
62.8 |
2.3 |
(58.2–67.4) |
Harris County, Texas |
1,453 |
63.1 |
1.9 |
(59.4–66.8) |
Hidalgo County, Texas |
588 |
50.9 |
2.8 |
(45.3–56.5) |
Lubbock County, Texas |
753 |
62.3 |
2.9 |
(56.5–68.1) |
Midland County, Texas |
522 |
59.9 |
3.1 |
(53.8–66.0) |
Potter County, Texas |
334 |
61.1 |
3.8 |
(53.7–68.5) |
Randall County, Texas |
455 |
60.7 |
3.5 |
(53.9–67.5) |
Smith County, Texas |
670 |
64.5 |
3.3 |
(58.0–71.0) |
Tarrant County, Texas |
603 |
63.9 |
3.1 |
(57.8–70.0) |
Travis County, Texas |
759 |
64.3 |
4.3 |
(55.8–72.8) |
Val Verde County, Texas |
554 |
71.2 |
3.7 |
(64.0–78.4) |
Webb County, Texas |
910 |
53.9 |
2.2 |
(49.5–58.3) |
Wichita County, Texas |
674 |
59.7 |
3.2 |
(53.3–66.1) |
Davis County, Utah |
855 |
61.8 |
2.3 |
(57.3–66.3) |
Salt Lake County, Utah |
3,251 |
58.5 |
1.2 |
(56.2–60.8) |
Summit County, Utah |
450 |
58.6 |
3.3 |
(52.2–65.0) |
Tooele County, Utah |
561 |
58.8 |
3.1 |
(52.8–64.8) |
Utah County, Utah |
1,093 |
53.9 |
2.3 |
(49.3–58.5) |
Weber County, Utah |
761 |
62.6 |
2.5 |
(57.7–67.5) |
Chittenden County, Vermont |
1,421 |
61.3 |
1.9 |
(57.6–65.0) |
Franklin County, Vermont |
485 |
66.0 |
2.7 |
(60.7–71.3) |
Orange County, Vermont |
357 |
67.2 |
3.4 |
(60.6–73.8) |
Rutland County, Vermont |
657 |
65.0 |
2.5 |
(60.1–69.9) |
Washington County, Vermont |
666 |
62.7 |
2.6 |
(57.7–67.7) |
Windsor County, Vermont |
677 |
66.1 |
2.5 |
(61.2–71.0) |
Benton County, Washington |
383 |
64.3 |
3.1 |
(58.2–70.4) |
Clark County, Washington |
1,076 |
54.0 |
2.4 |
(49.3–58.7) |
Franklin County, Washington |
251 |
64.7 |
4.4 |
(56.0–73.4) |
King County, Washington |
2,999 |
61.5 |
1.3 |
(59.0–64.0) |
Kitsap County, Washington |
901 |
61.1 |
2.2 |
(56.7–65.5) |
Pierce County, Washington |
1,694 |
63.9 |
1.7 |
(60.6–67.2) |
Snohomish County, Washington |
1,631 |
60.8 |
1.7 |
(57.5–64.1) |
Spokane County, Washington |
1,196 |
63.6 |
2.0 |
(59.6–67.6) |
Thurston County, Washington |
763 |
58.0 |
2.5 |
(53.1–62.9) |
Yakima County, Washington |
731 |
57.4 |
2.8 |
(52.0–62.8) |
Kanawha County, West Virginia |
481 |
79.0 |
2.8 |
(73.5–84.5) |
Milwaukee County, Wisconsin |
1,211 |
72.0 |
2.9 |
(66.4–77.6) |
Laramie County, Wyoming |
906 |
61.3 |
2.3 |
(56.9–65.7) |
Natrona County, Wyoming |
761 |
54.1 |
2.6 |
(49.1–59.1) |
Median |
68.0 |
|||
Range |
49.5-85.3 |
|||
Abbreviations: SE = standard error; CI = confidence interval. *Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 17. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
330 |
56.9 |
4.3 |
(48.4–65.3) |
Grand Island, Nebraska |
351 |
72.3 |
2.7 |
(67.0–77.5) |
Grand Rapids-Wyoming, Michigan |
211 |
71.8 |
3.3 |
(65.3–78.2) |
Greensboro-High Point, North Carolina |
413 |
70.2 |
2.7 |
(64.9–75.4) |
Greenville, South Carolina |
304 |
68.5 |
3.6 |
(61.4–75.5) |
Hagerstown-Martinsburg, Maryland-West Virginia |
196 |
71.6 |
3.6 |
(64.5–78.6) |
Hartford-West Hartford-East Hartford, Connecticut |
661 |
74.2 |
1.9 |
(70.4–77.9) |
Hastings, Nebraska |
227 |
75.8 |
3.0 |
(69.9–81.6) |
Helena, Montana |
220 |
65.7 |
3.4 |
(59.0–72.3) |
Hickory-Morganton-Lenoir, North Carolina |
201 |
67.5 |
4.0 |
(59.6–75.3) |
Hilo, Hawaii |
446 |
65.0 |
2.7 |
(59.7–70.2) |
Hilton Head Island-Beaufort, South Carolina |
366 |
71.4 |
2.7 |
(66.1–76.6) |
Homosassa Springs, Florida |
274 |
71.6 |
3.0 |
(65.7–77.4) |
Honolulu, Hawaii |
1,038 |
75.4 |
1.5 |
(72.4–78.3) |
Houston-Sugar Land-Baytown, Texas |
724 |
64.2 |
2.3 |
(59.6–68.7) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
218 |
66.3 |
3.9 |
(58.6–73.9) |
Idaho Falls, Idaho |
206 |
61.0 |
3.7 |
(53.7–68.2) |
Indianapolis-Carmel, Indiana |
670 |
68.0 |
2.4 |
(63.2–72.7) |
Jackson, Mississippi |
264 |
65.7 |
3.3 |
(59.2–72.1) |
Jacksonville, Florida |
873 |
64.3 |
2.7 |
(59.0–69.5) |
Kahului-Wailuku, Hawaii |
463 |
64.0 |
2.9 |
(58.3–69.6) |
Kalispell, Montana |
221 |
63.7 |
3.6 |
(56.6–70.7) |
Kansas City, Missouri-Kansas |
1,095 |
63.2 |
2.0 |
(59.2–67.1) |
Kapaa, Hawaii |
212 |
66.8 |
3.6 |
(59.7–73.8) |
Kennewick-Richland-Pasco, Washington |
182 |
67.9 |
3.9 |
(60.2–75.5) |
Key West-Marathon, Florida |
212 |
66.5 |
3.7 |
(59.2–73.7) |
Kingsport-Bristol, Tennessee-Virginia |
283 |
66.4 |
4.1 |
(58.3–74.4) |
Knoxville, Tennessee |
186 |
72.7 |
4.1 |
(64.6–80.7) |
Lake City, Florida |
179 |
59.2 |
4.9 |
(49.5–68.8) |
Lakeland-Winter Haven, Florida |
212 |
62.5 |
3.8 |
(55.0–69.9) |
Laredo, Texas |
205 |
62.5 |
4.7 |
(53.2–71.7) |
Las Cruces, New Mexico |
200 |
72.9 |
3.4 |
(66.2–79.5) |
Las Vegas-Paradise, Nevada |
410 |
59.4 |
2.8 |
(53.9–64.8) |
Lebanon, New Hampshire-Vermont |
516 |
70.2 |
2.3 |
(65.6–74.7) |
Lewiston, Idaho-Washington |
248 |
66.3 |
3.3 |
(59.8–72.7) |
Lewiston-Auburn, Maine |
158 |
73.3 |
4.1 |
(65.2–81.3) |
Lincoln, Nebraska |
391 |
70.1 |
2.8 |
(64.6–75.5) |
Little Rock-North Little Rock, Arkansas |
312 |
73.9 |
2.9 |
(68.2–79.5) |
Los Angeles-Long Beach-Glendale, California* |
684 |
57.9 |
2.4 |
(53.1–62.6) |
Louisville, Kentucky-Indiana |
266 |
73.0 |
3.1 |
(66.9–79.0) |
Lubbock, Texas |
309 |
64.0 |
3.0 |
(58.1–69.8) |
Manchester-Nashua, New Hampshire |
413 |
74.9 |
2.4 |
(70.1–79.6) |
McAllen-Edinburg-Mission, Texas |
188 |
64.3 |
4.0 |
(56.4–72.1) |
Memphis, Tennessee-Mississippi-Arkansas |
393 |
65.0 |
3.4 |
(58.3–71.6) |
Miami-Fort Lauderdale-Miami Beach, Florida |
363 |
51.7 |
3.4 |
(45.0–58.3) |
Midland, Texas |
211 |
62.2 |
3.7 |
(54.9–69.4) |
Milwaukee-Waukesha-West Allis, Wisconsin |
400 |
72.3 |
3.2 |
(66.0–78.5) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
1,090 |
72.8 |
1.8 |
(69.2–76.3) |
Minot, North Dakota |
171 |
60.8 |
4.2 |
(52.5–69.0) |
Mobile, Alabama |
239 |
68.1 |
3.3 |
(61.6–74.5) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
219 |
65.7 |
3.6 |
(58.6–72.7) |
Naples-Marco Island, Florida |
316 |
74.1 |
2.7 |
(68.8–79.3) |
Nashville-Davidson-Murfreesboro, Tennessee |
255 |
69.3 |
3.5 |
(62.4–76.1) |
Nassau-Suffolk, New York* |
374 |
72.2 |
2.6 |
(67.1–77.2) |
Newark-Union, New Jersey-Pennsylvania* |
794 |
65.9 |
2.2 |
(61.5–70.2) |
New Haven-Milford, Connecticut |
576 |
73.8 |
2.3 |
(69.2–78.3) |
New Orleans-Metairie-Kenner, Louisiana |
459 |
64.3 |
2.6 |
(59.2–69.3) |
New York-White Plains-Wayne, New York-New Jersey* |
1,700 |
61.5 |
1.5 |
(58.5–64.4) |
Norfolk, Nebraska |
249 |
69.9 |
3.1 |
(63.8–75.9) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
221 596 |
65.7 68.7 |
3.7 2.2 |
(58.4–72.9) (64.3–73.0) |
Ocala, Florida |
315 |
67.2 |
3.0 |
(61.3–73.0) |
Ocean City, New Jersey |
196 |
67.0 |
3.6 |
(59.9–74.0) |
TABLE 17. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
448 |
71.4 |
2.4 |
(66.6–76.1) |
Oklahoma City, Oklahoma |
785 |
67.8 |
1.9 |
(64.0–71.5) |
Olympia, Washington |
220 |
69.1 |
3.6 |
(62.0–76.1) |
Omaha-Council Bluffs, Nebraska-Iowa |
652 |
75.1 |
2.1 |
(70.9–79.2) |
Orlando-Kissimmee, Florida |
886 |
61.4 |
2.0 |
(57.4–65.3) |
Palm Bay-Melbourne-Titusville, Florida |
235 |
71.0 |
3.2 |
(64.7–77.2) |
Panama City-Lynn Haven, Florida |
181 |
69.6 |
4.3 |
(61.1–78.0) |
Peabody, Massachusetts |
589 |
71.7 |
2.9 |
(66.0–77.3) |
Pensacola-Ferry Pass-Brent, Florida |
331 |
63.2 |
3.1 |
(57.1–69.2) |
Philadelphia, Pennsylvania* |
761 |
66.2 |
2.5 |
(61.3–71.1) |
Phoenix-Mesa-Scottsdale, Arizona |
669 |
68.8 |
2.2 |
(64.4–73.1) |
Pittsburgh, Pennsylvania |
879 |
69.3 |
1.7 |
(65.9–72.6) |
Portland-South Portland-Biddeford, Maine |
841 |
73.3 |
1.7 |
(69.9–76.6) |
Portland-Vancouver-Beaverton, Oregon-Washington |
1,098 |
66.8 |
1.7 |
(63.4–70.1) |
Port St. Lucie-Fort Pierce, Florida |
489 |
67.7 |
2.4 |
(62.9–72.4) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
2,956 |
69.2 |
1.1 |
(67.0–71.3) |
Provo-Orem, Utah |
271 |
64.4 |
3.2 |
(58.1–70.6) |
Raleigh-Cary, North Carolina |
246 |
70.9 |
3.7 |
(63.6–78.1) |
Rapid City, South Dakota |
286 |
73.6 |
2.8 |
(68.1–79.0) |
Reno-Sparks, Nevada |
406 |
60.0 |
2.7 |
(54.7–65.2) |
Richmond, Virginia |
223 |
67.4 |
3.9 |
(59.7–75.0) |
Riverside-San Bernardino-Ontario, California |
508 |
59.2 |
2.6 |
(54.1–64.2) |
Rochester, New York |
220 |
76.8 |
3.2 |
(70.5–83.0) |
Rockingham County-Strafford County, New Hampshire* |
454 |
69.4 |
2.4 |
(64.6–74.1) |
Rutland, Vermont |
232 |
63.2 |
3.5 |
(56.3–70.0) |
Sacramento-Arden-Arcade-Roseville, California |
413 |
73.1 |
2.6 |
(68.0–78.1) |
St. Louis, Missouri-Illinois |
550 |
72.8 |
2.6 |
(67.7–77.8) |
Salt Lake City, Utah |
1,025 |
70.2 |
1.7 |
(66.8–73.5) |
San Antonio, Texas |
414 |
67.6 |
2.8 |
(62.1–73.0) |
San Diego-Carlsbad-San Marcos, California |
494 |
62.2 |
2.7 |
(56.9–67.4) |
San Francisco-Oakland-Fremont, California |
699 |
63.1 |
2.6 |
(58.0–68.1) |
San Jose-Sunnyvale-Santa Clara, California |
258 |
69.0 |
4.4 |
(60.3–77.6) |
Santa Ana-Anaheim-Irvine, California* |
406 |
68.2 |
3.0 |
(62.3–74.0) |
Santa Fe, New Mexico |
196 |
67.2 |
3.9 |
(59.5–74.8) |
Scottsbluff, Nebraska |
335 |
66.8 |
3.2 |
(60.5–73.0) |
Scranton-Wilkes-Barre, Pennsylvania |
221 |
64.8 |
3.5 |
(57.9–71.6) |
Seaford, Delaware |
524 |
68.4 |
2.4 |
(63.6–73.1) |
Seattle-Bellevue-Everett, Washington* |
1,378 |
70.8 |
1.5 |
(67.8–73.7) |
Sebring, Florida |
294 |
68.7 |
3.2 |
(62.4–74.9) |
Shreveport-Bossier City, Louisiana |
231 |
64.2 |
3.6 |
(57.1–71.2) |
Sioux City, Iowa-Nebraska-South Dakota |
403 |
66.3 |
5.0 |
(56.5–76.1) |
Sioux Falls, South Dakota |
275 |
73.2 |
3.0 |
(67.3–79.0) |
Spokane, Washington |
399 |
66.5 |
2.7 |
(61.2–71.7) |
Springfield, Massachusetts |
583 |
70.3 |
2.6 |
(65.2–75.3) |
Tacoma, Washington* |
564 |
72.6 |
2.1 |
(68.4–76.7) |
Tallahassee, Florida |
628 |
65.8 |
3.2 |
(59.5–72.0) |
Tampa-St. Petersburg-Clearwater, Florida |
869 |
63.4 |
2.1 |
(59.2–67.5) |
Toledo, Ohio |
254 |
61.0 |
3.8 |
(53.5–68.4) |
Topeka, Kansas |
274 |
74.8 |
2.8 |
(69.3–80.2) |
Trenton-Ewing, New Jersey |
128 |
67.4 |
4.9 |
(57.7–77.0) |
Tucson, Arizona |
313 |
69.1 |
3.0 |
(63.2–74.9) |
Tulsa, Oklahoma |
737 |
73.3 |
1.8 |
(69.7–76.8) |
Tuscaloosa, Alabama |
158 |
59.5 |
4.5 |
(50.6–68.3) |
Twin Falls, Idaho |
206 |
64.0 |
3.7 |
(56.7–71.2) |
Tyler, Texas |
258 |
65.0 |
3.3 |
(58.5–71.4) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
299 |
68.9 |
3.3 |
(62.4–75.3) |
Warren-Troy-Farmington Hills, Michigan* |
643 |
67.1 |
2.1 |
(62.9–71.2) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia* |
1,760 |
68.3 |
2.2 |
(63.9–72.6) |
Wauchula, Florida |
211 |
66.8 |
3.6 |
(59.7–73.8) |
West Palm Beach-Boca Raton-Boynton Beach, Florida* |
268 |
73.7 |
3.0 |
(67.8–79.5) |
Wichita, Kansas |
622 |
70.4 |
2.0 |
(66.4–74.3) |
Wichita Falls, Texas |
347 |
71.2 |
3.3 |
(64.7–77.6) |
Wilmington, Delaware-Maryland-New Jersey* |
645 |
64.0 |
2.2 |
(59.6–68.3) |
TABLE 17. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
553 |
71.0 |
2.7 |
(65.7–76.2) |
Yakima, Washington |
256 |
68.5 |
3.1 |
(62.4–74.5) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
380 |
58.9 |
3.8 |
(51.4–66.3) |
Median |
67.9 |
|||
Range |
51.7-77.1 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Metropolitan division. † Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 18. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Samplesize |
% |
SE |
(95% CI) |
Monroe County, Florida |
212 |
66.5 |
3.7 |
(59.2–73.7) |
Nassau County, Florida |
198 |
66.5 |
4.6 |
(57.4–75.5) |
Orange County, Florida |
252 |
57.7 |
3.8 |
(50.2–65.1) |
Osceola County, Florida |
184 |
54.1 |
4.3 |
(45.6–62.5) |
Palm Beach County, Florida |
268 |
73.7 |
3.0 |
(67.8–79.5) |
Pasco County, Florida |
254 |
64.3 |
3.3 |
(57.8–70.7) |
Pinellas County, Florida |
225 |
66.5 |
3.4 |
(59.8–73.1) |
Polk County, Florida |
212 |
62.5 |
3.8 |
(55.0–69.9) |
St. Johns County, Florida |
209 |
70.1 |
3.5 |
(63.2–76.9) |
St. Lucie County, Florida |
220 |
66.1 |
3.5 |
(59.2–72.9) |
Santa Rosa County, Florida |
150 |
66.6 |
4.2 |
(58.3–74.8) |
Sarasota County, Florida |
352 |
69.4 |
2.8 |
(63.9–74.8) |
Seminole County, Florida |
144 |
61.6 |
5.0 |
(51.8–71.4) |
Volusia County, Florida |
406 |
74.0 |
2.4 |
(69.2–78.7) |
Wakulla County, Florida |
152 |
NA |
NA |
NA |
Cobb County, Georgia |
71 |
NA |
NA |
NA |
DeKalb County, Georgia |
88 |
NA |
NA |
NA |
Fulton County, Georgia |
82 |
NA |
NA |
NA |
Gwinnett County, Georgia |
51 |
NA |
NA |
NA |
Hawaii County, Hawaii |
446 |
65.0 |
2.7 |
(59.7–70.2) |
Honolulu County, Hawaii |
1,038 |
75.4 |
1.5 |
(72.4–78.3) |
Kauai County, Hawaii |
212 |
66.8 |
3.6 |
(59.7–73.8) |
Maui County, Hawaii |
463 |
64.0 |
2.9 |
(58.3–69.6) |
Ada County, Idaho |
274 |
65.2 |
3.1 |
(59.1–71.2) |
Bonneville County, Idaho |
159 |
62.8 |
4.3 |
(54.3–71.2) |
Canyon County, Idaho |
207 |
59.4 |
3.8 |
(51.9–66.8) |
Kootenai County, Idaho |
216 |
60.1 |
3.7 |
(52.8–67.3) |
Nez Perce County, Idaho |
147 |
59.1 |
4.5 |
(50.2–67.9) |
Twin Falls County, Idaho |
171 |
60.2 |
4.1 |
(52.1–68.2) |
Cook County, Illinois |
922 |
62.9 |
2.1 |
(58.7–67.0) |
DuPage County, Illinois |
72 |
NA |
NA |
NA |
Allen County, Indiana |
195 |
60.9 |
3.9 |
(53.2–68.5) |
Lake County, Indiana |
313 |
61.4 |
4.5 |
(52.5–70.2) |
Marion County, Indiana |
457 |
69.1 |
3.1 |
(63.0–75.1) |
Linn County, Iowa |
174 |
68.5 |
3.9 |
(60.8–76.1) |
Polk County, Iowa |
218 |
72.7 |
3.3 |
(66.2–79.1) |
Johnson County, Kansas |
398 |
76.4 |
2.3 |
(71.8–80.9) |
Sedgwick County, Kansas |
467 |
69.3 |
2.3 |
(64.7–73.8) |
Shawnee County, Kansas |
213 |
76.6 |
3.0 |
(70.7–82.4) |
Wyandotte County, Kansas |
217 |
56.6 |
3.9 |
(48.9–64.2) |
Jefferson County, Kentucky |
131 |
75.4 |
4.3 |
(66.9–83.8) |
Caddo Parish, Louisiana |
154 |
66.5 |
4.4 |
(57.8–75.1) |
East Baton Rouge Parish, Louisiana |
212 |
64.5 |
3.8 |
(57.0–71.9) |
Jefferson Parish, Louisiana |
197 |
65.2 |
4.0 |
(57.3–73.0) |
Orleans Parish, Louisiana |
122 |
61.5 |
5.0 |
(51.7–71.3) |
St. Tammany Parish, Louisiana |
93 |
NA |
NA |
NA |
Androscoggin County, Maine |
158 |
73.3 |
4.1 |
(65.2–81.3) |
Cumberland County, Maine |
444 |
75.5 |
2.3 |
(70.9–80.0) |
Kennebec County, Maine |
199 |
70.4 |
3.6 |
(63.3–77.4) |
Penobscot County, Maine |
195 |
73.0 |
3.4 |
(66.3–79.6) |
Sagadahoc County, Maine |
90 |
76.3 |
5.1 |
(66.3–86.2) |
York County, Maine |
307 |
69.7 |
2.9 |
(64.0–75.3) |
Anne Arundel County, Maryland |
148 |
67.5 |
4.3 |
(59.0–75.9) |
Baltimore County, Maryland |
297 |
69.0 |
3.0 |
(63.1–74.8) |
Cecil County, Maryland |
71 |
NA |
NA |
NA |
Charles County, Maryland |
68 |
NA |
NA |
NA |
Frederick County, Maryland |
134 |
71.0 |
4.4 |
(62.3–79.6) |
Harford County, Maryland |
66 |
NA |
NA |
NA |
Howard County, Maryland |
70 |
NA |
NA |
NA |
Montgomery County, Maryland |
277 |
76.9 |
3.0 |
(71.0–82.7) |
Prince George´s County, Maryland |
186 |
62.9 |
4.1 |
(54.8–70.9) |
Queen Anne´s County, Maryland |
84 |
NA |
NA |
NA |
Washington County, Maryland |
125 |
75.3 |
4.2 |
(67.0–83.5) |
TABLE 18. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
141 |
61.8 |
4.9 |
(52.1–71.4) |
Bristol County, Massachusetts |
817 |
66.5 |
3.1 |
(60.4–72.5) |
Essex County, Massachusetts |
589 |
71.9 |
2.9 |
(66.2–77.5) |
Hampden County, Massachusetts |
463 |
75.7 |
2.9 |
(70.0–81.3) |
Hampshire County, Massachusetts |
73 |
NA |
NA |
NA |
Middlesex County, Massachusetts |
746 |
75.6 |
2.1 |
(71.4–79.7) |
Norfolk County, Massachusetts |
255 |
75.7 |
3.0 |
(69.8–81.5) |
Plymouth County, Massachusetts |
207 |
73.8 |
3.4 |
(67.1–80.4) |
Suffolk County, Massachusetts |
445 |
66.8 |
3.1 |
(60.7–72.8) |
Worcester County, Massachusetts |
553 |
71.0 |
2.7 |
(65.7–76.2) |
Kent County, Michigan |
148 |
71.8 |
3.9 |
(64.1–79.4) |
Macomb County, Michigan |
196 |
69.2 |
3.6 |
(62.1–76.2) |
Oakland County, Michigan |
333 |
67.3 |
3.0 |
(61.4–73.1) |
Wayne County, Michigan |
675 |
63.8 |
2.3 |
(59.2–68.3) |
Anoka County, Minnesota |
76 |
NA |
NA |
NA |
Dakota County, Minnesota |
107 |
75.1 |
5.0 |
(65.3–84.9) |
Hennepin County, Minnesota |
472 |
76.3 |
2.9 |
(70.6–81.9) |
Ramsey County, Minnesota |
230 |
74.1 |
4.2 |
(65.8–82.3) |
Washington County, Minnesota |
60 |
NA |
NA |
NA |
DeSoto County, Mississippi |
146 |
73.3 |
4.1 |
(65.2–81.3) |
Hinds County, Mississippi |
116 |
72.0 |
4.7 |
(62.7–81.2) |
Jackson County, Missouri |
182 |
57.7 |
4.1 |
(49.6–65.7) |
St. Louis County, Missouri |
208 |
74.3 |
4.0 |
(66.4–82.1) |
St. Louis city, Missouri |
194 |
NA |
NA |
NA |
Flathead County, Montana |
221 |
63.7 |
3.6 |
(56.6–70.7) |
Lewis and Clark County, Montana |
184 |
65.8 |
3.6 |
(58.7–72.8) |
Yellowstone County, Montana |
191 |
69.1 |
3.7 |
(61.8–76.3) |
Adams County, Nebraska |
180 |
76.9 |
3.3 |
(70.4–83.3) |
Dakota County, Nebraska |
253 |
66.6 |
3.2 |
(60.3–72.8) |
Douglas County, Nebraska |
273 |
75.7 |
2.9 |
(70.0–81.3) |
Hall County, Nebraska |
235 |
75.7 |
3.1 |
(69.6–81.7) |
Lancaster County, Nebraska |
287 |
70.5 |
3.0 |
(64.6–76.3) |
Lincoln County, Nebraska |
211 |
67.3 |
3.8 |
(59.8–74.7) |
Madison County, Nebraska |
176 |
71.4 |
3.7 |
(64.1–78.6) |
Sarpy County, Nebraska |
150 |
73.2 |
4.5 |
(64.3–82.0) |
Scotts Bluff County, Nebraska |
324 |
68.2 |
3.3 |
(61.7–74.6) |
Seward County, Nebraska |
104 |
NA |
NA |
NA |
Clark County, Nevada |
410 |
59.4 |
2.8 |
(53.9–64.8) |
Washoe County, Nevada |
398 |
60.0 |
2.7 |
(54.7–65.2) |
Grafton County, New Hampshire |
175 |
69.7 |
3.9 |
(62.0–77.3) |
Hillsborough County, New Hampshire |
413 |
74.9 |
2.4 |
(70.1–79.6) |
Merrimack County, New Hampshire |
210 |
70.5 |
3.5 |
(63.6–77.3) |
Rockingham County, New Hampshire |
276 |
67.6 |
3.0 |
(61.7–73.4) |
Strafford County, New Hampshire |
178 |
73.4 |
3.7 |
(66.1–80.6) |
Atlantic County, New Jersey |
256 |
65.1 |
3.5 |
(58.2–71.9) |
Bergen County, New Jersey |
174 |
58.3 |
4.5 |
(49.4–67.1) |
Burlington County, New Jersey |
170 |
65.7 |
4.2 |
(57.4–73.9) |
Camden County, New Jersey |
151 |
63.5 |
4.4 |
(54.8–72.1) |
Cape May County, New Jersey |
196 |
67.0 |
3.6 |
(59.9–74.0) |
Essex County, New Jersey |
251 |
62.5 |
3.7 |
(55.2–69.7) |
Gloucester County, New Jersey |
143 |
66.0 |
4.8 |
(56.5–75.4) |
Hudson County, New Jersey |
232 |
50.5 |
3.9 |
(42.8–58.1) |
Hunterdon County, New Jersey |
115 |
NA |
NA |
NA |
Mercer County, New Jersey |
128 |
67.4 |
4.9 |
(57.7–77.0) |
Middlesex County, New Jersey |
156 |
69.2 |
4.3 |
(60.7–77.6) |
Monmouth County, New Jersey |
146 |
68.4 |
4.5 |
(59.5–77.2) |
Morris County, New Jersey |
168 |
69.0 |
4.2 |
(60.7–77.2) |
Ocean County, New Jersey |
207 |
73.1 |
3.5 |
(66.2–79.9) |
Passaic County, New Jersey |
142 |
72.5 |
4.2 |
(64.2–80.7) |
Somerset County, New Jersey |
133 |
70.9 |
4.5 |
(62.0–79.7) |
Sussex County, New Jersey |
113 |
NA |
NA |
NA |
Union County, New Jersey |
127 |
70.5 |
4.7 |
(61.2–79.7) |
Warren County, New Jersey |
150 |
68.3 |
4.4 |
(59.6–76.9) |
TABLE 18. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
412 |
75.0 |
2.3 |
(70.4–79.5) |
Dona Ana County, New Mexico |
200 |
72.9 |
3.4 |
(66.2–79.5) |
Sandoval County, New Mexico |
158 |
78.5 |
3.4 |
(71.8–85.1) |
San Juan County, New Mexico |
198 |
66.2 |
4.1 |
(58.1–74.2) |
Santa Fe County, New Mexico |
196 |
67.2 |
3.9 |
(59.5–74.8) |
Valencia County, New Mexico |
112 |
NA ‡ |
NA ‡ |
NA |
Bronx County, New York |
116 |
NA ‡ |
NA ‡ |
NA |
Erie County, New York |
176 |
68.2 |
3.9 |
(60.5–75.8) |
Kings County, New York |
224 |
64.0 |
3.8 |
(56.5–71.4) |
Monroe County, New York |
150 |
79.7 |
3.7 |
(72.4–86.9) |
Nassau County, New York |
171 |
72.7 |
3.8 |
(65.2–80.1) |
New York County, New York |
332 |
62.8 |
3.8 |
(55.3–70.2) |
Queens County, New York |
239 |
62.3 |
3.9 |
(54.6–69.9) |
Suffolk County, New York |
203 |
72.1 |
3.5 |
(65.2–78.9) |
Westchester County, New York |
117 |
68.4 |
4.9 |
(58.7–78.0) |
Buncombe County, North Carolina |
104 |
72.6 |
4.9 |
(62.9–82.2) |
Cabarrus County, North Carolina |
106 |
69.6 |
4.9 |
(59.9–79.2) |
Catawba County, North Carolina |
101 |
69.6 |
5.1 |
(59.6–79.5) |
Durham County, North Carolina |
168 |
72.5 |
3.8 |
(65.0–79.9) |
Gaston County, North Carolina |
88 |
NA ‡ |
NA ‡ |
NA |
Guilford County, North Carolina |
231 |
72.3 |
3.2 |
(66.0–78.5) |
Johnston County, North Carolina |
71 |
NA ‡ |
NA ‡ |
NA |
Mecklenburg County, North Carolina |
179 |
61.5 |
4.3 |
(53.0–69.9) |
Orange County, North Carolina |
74 |
NA ‡ |
NA ‡ |
NA |
Randolph County, North Carolina |
152 |
69.1 |
4.5 |
(60.2–77.9) |
Union County, North Carolina |
100 |
NA ‡ |
NA ‡ |
NA |
Wake County, North Carolina |
164 |
72.1 |
3.9 |
(64.4–79.7) |
Burleigh County, North Dakota |
169 |
66.5 |
3.8 |
(59.0–73.9) |
Cass County, North Dakota |
232 |
70.0 |
3.2 |
(63.7–76.2) |
Ward County, North Dakota |
139 |
62.9 |
4.5 |
(54.0–71.7) |
Cuyahoga County, Ohio |
221 |
66.5 |
3.5 |
(59.6–73.3) |
Franklin County, Ohio |
174 |
69.3 |
3.8 |
(61.8–76.7) |
Hamilton County, Ohio |
228 |
67.4 |
3.4 |
(60.7–74.0) |
Lucas County, Ohio |
212 |
55.3 |
3.8 |
(47.8–62.7) |
Mahoning County, Ohio |
254 |
54.2 |
3.7 |
(46.9–61.4) |
Montgomery County, Ohio |
255 |
63.5 |
3.4 |
(56.8–70.1) |
Stark County, Ohio |
228 |
61.6 |
3.6 |
(54.5–68.6) |
Summit County, Ohio |
230 |
65.6 |
3.5 |
(58.7–72.4) |
Cleveland County, Oklahoma |
126 |
65.7 |
5.1 |
(55.7–75.6) |
Oklahoma County, Oklahoma |
469 |
67.7 |
2.4 |
(62.9–72.4) |
Tulsa County, Oklahoma |
507 |
70.3 |
2.3 |
(65.7–74.8) |
Clackamas County, Oregon |
146 |
58.6 |
4.5 |
(49.7–67.4) |
Lane County, Oregon |
183 |
71.1 |
3.7 |
(63.8–78.3) |
Multnomah County, Oregon |
263 |
68.4 |
3.2 |
(62.1–74.6) |
Washington County, Oregon |
181 |
70.1 |
3.6 |
(63.0–77.1) |
Allegheny County, Pennsylvania |
503 |
69.9 |
2.3 |
(65.3–74.4) |
Lehigh County, Pennsylvania |
82 |
NA |
NA |
NA |
Luzerne County, Pennsylvania |
126 |
65.7 |
4.8 |
(56.2–75.1) |
Montgomery County, Pennsylvania |
112 |
73.0 |
4.8 |
(63.5–82.4) |
Northampton County, Pennsylvania |
99 |
NA |
NA |
NA |
Philadelphia County, Pennsylvania |
456 |
64.9 |
2.6 |
(59.8–69.9) |
Westmoreland County, Pennsylvania |
127 |
73.4 |
4.4 |
(64.7–82.0) |
Bristol County, Rhode Island |
87 |
NA |
NA |
NA |
Kent County, Rhode Island |
307 |
76.5 |
2.6 |
(71.4–81.5) |
Newport County, Rhode Island |
172 |
72.5 |
3.6 |
(65.4–79.5) |
Providence County, Rhode Island |
1,305 |
69.6 |
1.5 |
(66.6–72.5) |
Washington County, Rhode Island |
268 |
63.2 |
3.4 |
(56.5–69.8) |
Aiken County, South Carolina |
183 |
65.5 |
3.9 |
(57.8–73.1) |
Beaufort County, South Carolina |
323 |
72.5 |
2.8 |
(67.0–77.9) |
Berkeley County, South Carolina |
114 |
NA |
NA |
NA |
Charleston County, South Carolina |
248 |
75.2 |
3.9 |
(67.5–82.8) |
Greenville County, South Carolina |
197 |
69.5 |
4.2 |
(61.2–77.7) |
Horry County, South Carolina |
219 |
65.7 |
3.6 |
(58.6–72.7) |
TABLE 18. (Continued) Estimated prevalence of adults aged ≥65 years who had received an influenza vaccination during the preceding 12 months, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
212 |
68.6 |
5.0 |
(58.8–78.4) |
Minnehaha County, South Dakota |
198 |
76.5 |
3.4 |
(69.8–83.1) |
Pennington County, South Dakota |
220 |
74.9 |
3.2 |
(68.6–81.1) |
Davidson County, Tennessee |
140 |
63.9 |
5.1 |
(53.9–73.8) |
Hamilton County, Tennessee |
135 |
66.6 |
4.5 |
(57.7–75.4) |
Knox County, Tennessee |
126 |
68.6 |
4.8 |
(59.1–78.0) |
Shelby County, Tennessee |
129 |
65.0 |
4.7 |
(55.7–74.2) |
Sullivan County, Tennessee |
210 |
67.5 |
3.7 |
(60.2–74.7) |
Bexar County, Texas |
357 |
68.7 |
2.8 |
(63.2–74.1) |
Dallas County, Texas |
145 |
65.1 |
4.5 |
(56.2–73.9) |
El Paso County, Texas |
258 |
64.8 |
3.5 |
(57.9–71.6) |
Fort Bend County, Texas |
211 |
60.6 |
3.9 |
(52.9–68.2) |
Harris County, Texas |
394 |
65.3 |
2.9 |
(59.6–70.9) |
Hidalgo County, Texas |
188 |
64.3 |
4.0 |
(56.4–72.1) |
Lubbock County, Texas |
299 |
64.5 |
3.0 |
(58.6–70.3) |
Midland County, Texas |
211 |
62.2 |
3.7 |
(54.9–69.4) |
Potter County, Texas |
106 |
74.8 |
4.7 |
(65.5–84.0) |
Randall County, Texas |
176 |
75.9 |
3.5 |
(69.0–82.7) |
Smith County, Texas |
258 |
65.0 |
3.3 |
(58.5–71.4) |
Tarrant County, Texas |
198 |
74.0 |
3.5 |
(67.1–80.8) |
Travis County, Texas |
185 |
NA |
NA |
NA |
Val Verde County, Texas |
202 |
63.9 |
3.6 |
(56.8–70.9) |
Webb County, Texas |
205 |
62.5 |
4.7 |
(53.2–71.7) |
Wichita County, Texas |
291 |
70.1 |
2.9 |
(64.4–75.7) |
Davis County, Utah |
207 |
75.1 |
3.3 |
(68.6–81.5) |
Salt Lake County, Utah |
811 |
70.3 |
1.8 |
(66.7–73.8) |
Summit County, Utah |
91 |
76.5 |
4.7 |
(67.2–85.7) |
Tooele County, Utah |
123 |
NA |
NA |
NA |
Utah County, Utah |
254 |
64.6 |
3.3 |
(58.1–71.0) |
Weber County, Utah |
226 |
67.6 |
3.4 |
(60.9–74.2) |
Chittenden County, Vermont |
375 |
76.7 |
2.3 |
(72.1–81.2) |
Franklin County, Vermont |
119 |
69.6 |
4.4 |
(60.9–78.2) |
Orange County, Vermont |
95 |
73.1 |
4.9 |
(63.4–82.7) |
Rutland County, Vermont |
232 |
63.2 |
3.5 |
(56.3–70.0) |
Washington County, Vermont |
236 |
77.1 |
2.9 |
(71.4–82.7) |
Windsor County, Vermont |
246 |
69.3 |
3.2 |
(63.0–75.5) |
Benton County, Washington |
126 |
67.1 |
4.6 |
(58.0–76.1) |
Clark County, Washington |
333 |
68.9 |
2.7 |
(63.6–74.1) |
Franklin County, Washington |
56 |
NA |
NA |
NA |
King County, Washington |
928 |
72.1 |
1.6 |
(68.9–75.2) |
Kitsap County, Washington |
293 |
63.8 |
3.0 |
(57.9–69.6) |
Pierce County, Washington |
564 |
72.8 |
2.1 |
(68.6–76.9) |
Snohomish County, Washington |
450 |
68.2 |
2.4 |
(63.4–72.9) |
Spokane County, Washington |
399 |
66.5 |
2.7 |
(61.2–71.7) |
Thurston County, Washington |
220 |
69.1 |
3.6 |
(62.0–76.1) |
Yakima County, Washington |
256 |
68.5 |
3.1 |
(62.4–74.5) |
Kanawha County, West Virginia |
187 |
68.8 |
3.7 |
(61.5–76.0) |
Milwaukee County, Wisconsin |
309 |
69.6 |
4.0 |
(61.7–77.4) |
Laramie County, Wyoming |
322 |
71.5 |
2.8 |
(66.0–76.9) |
Natrona County, Wyoming |
234 |
63.4 |
3.5 |
(56.5–70.2) |
Median |
68.6 |
|||
Range |
49.3-87.8 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 20. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA(s) |
Sample Size |
% |
SE |
(95% CI) |
Gainesville, Florida |
320 |
66.5 |
4.0 |
(58.6–74.3) |
Grand Island, Nebraska |
341 |
69.8 |
2.9 |
(64.1–75.4) |
Grand Rapids-Wyoming, Michigan |
202 |
71.1 |
3.5 |
(64.2–77.9) |
Greensboro-High Point, North Carolina |
395 |
66.8 |
2.9 |
(61.1–72.4) |
Greenville, South Carolina |
298 |
69.8 |
3.6 |
(62.7–76.8) |
Hagerstown-Martinsburg, Maryland-West Virginia |
193 |
68.8 |
4.0 |
(60.9–76.6) |
Hartford-West Hartford-East Hartford, Connecticut |
633 |
71.9 |
2.0 |
(67.9–75.8) |
Hastings, Nebraska |
218 |
72.3 |
3.3 |
(65.8–78.7) |
Helena, Montana |
217 |
69.3 |
3.3 |
(62.8–75.7) |
Hickory-Morganton-Lenoir, North Carolina |
202 |
69.9 |
3.9 |
(62.2–77.5) |
Hilo, Hawaii |
416 |
61.2 |
2.8 |
(55.7–66.6) |
Hilton Head Island-Beaufort, South Carolina |
355 |
72.5 |
2.7 |
(67.2–77.7) |
Homosassa Springs, Florida |
265 |
73.6 |
3.0 |
(67.7–79.4) |
Honolulu, Hawaii |
967 |
66.3 |
1.8 |
(62.7–69.8) |
Houston-Sugar Land-Baytown, Texas |
701 |
64.7 |
2.3 |
(60.1–69.2) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
212 |
70.0 |
3.9 |
(62.3–77.6) |
Idaho Falls, Idaho |
197 |
57.0 |
3.9 |
(49.3–64.6) |
Indianapolis-Carmel, Indiana |
642 |
71.8 |
2.4 |
(67.0–76.5) |
Jackson, Mississippi |
257 |
69.5 |
3.2 |
(63.2–75.7) |
Jacksonville, Florida |
844 |
64.8 |
2.9 |
(59.1–70.4) |
Kahului-Wailuku, Hawaii |
440 |
65.7 |
2.9 |
(60.0–71.3) |
Kalispell, Montana |
215 |
74.8 |
3.3 |
(68.3–81.2) |
Kansas City, Missouri-Kansas |
1,059 |
70.3 |
1.9 |
(66.5–74.0) |
Kapaa, Hawaii |
199 |
66.4 |
3.7 |
(59.1–73.6) |
Kennewick-Richland-Pasco, Washington |
178 |
70.6 |
3.9 |
(62.9–78.2) |
Key West-Marathon, Florida |
203 |
61.6 |
4.0 |
(53.7–69.4) |
Kingsport-Bristol, Tennessee-Virginia |
276 |
75.7 |
3.5 |
(68.8–82.5) |
Knoxville, Tennessee |
182 |
71.9 |
4.2 |
(63.6–80.1) |
Lake City, Florida |
175 |
64.1 |
4.7 |
(54.8–73.3) |
Lakeland-Winter Haven, Florida |
203 |
67.5 |
3.7 |
(60.2–74.7) |
Laredo, Texas |
186 |
48.6 |
4.1 |
(40.5–56.6) |
Las Cruces, New Mexico |
192 |
66.3 |
3.9 |
(58.6–73.9) |
Las Vegas-Paradise, Nevada |
399 |
64.0 |
2.9 |
(58.3–69.6) |
Lebanon, New Hampshire-Vermont |
494 |
70.4 |
2.3 |
(65.8–74.9) |
Lewiston, Idaho-Washington |
241 |
61.4 |
3.5 |
(54.5–68.2) |
Lewiston-Auburn, Maine |
150 |
65.2 |
4.8 |
(55.7–74.6) |
Lincoln, Nebraska |
374 |
70.5 |
2.9 |
(64.8–76.1) |
Little Rock-North Little Rock, Arkansas |
302 |
67.9 |
3.2 |
(61.6–74.1) |
Los Angeles-Long Beach-Glendale, California† |
664 |
57.4 |
2.4 |
(52.6–62.1) |
Louisville, Kentucky-Indiana |
264 |
62.6 |
3.5 |
(55.7–69.4) |
Lubbock, Texas |
303 |
69.9 |
3.0 |
(64.0–75.7) |
Manchester-Nashua, New Hampshire |
403 |
71.2 |
2.5 |
(66.3–76.1) |
McAllen-Edinburg-Mission, Texas |
174 |
62.6 |
4.1 |
(54.5–70.6) |
Memphis, Tennessee-Mississippi-Arkansas |
394 |
62.9 |
3.6 |
(55.8–69.9) |
Miami-Fort Lauderdale-Miami Beach, Florida |
341 |
60.1 |
3.4 |
(53.4–66.7) |
Midland, Texas |
207 |
61.0 |
3.8 |
(53.5–68.4) |
Milwaukee-Waukesha-West Allis, Wisconsin |
390 |
77.8 |
2.9 |
(72.1–83.4) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
1,050 |
72.6 |
1.9 |
(68.8–76.3) |
Minot, North Dakota |
168 |
68.4 |
4.0 |
(60.5–76.2) |
Mobile, Alabama |
234 |
71.0 |
3.2 |
(64.7–77.2) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
211 |
70.9 |
3.6 |
(63.8–77.9) |
Naples-Marco Island, Florida |
299 |
79.9 |
2.6 |
(74.8–84.9) |
Nashville-Davidson-Murfreesboro, Tennessee |
253 |
67.0 |
3.7 |
(59.7–74.2) |
Nassau-Suffolk, New York* |
354 |
68.1 |
2.9 |
(62.4–73.7) |
Newark-Union, New Jersey-Pennsylvania† |
767 |
63.5 |
2.2 |
(59.1–67.8) |
New Haven-Milford, Connecticut |
542 |
69.2 |
2.6 |
(64.1–74.2) |
New Orleans-Metairie-Kenner, Louisiana |
445 |
67.1 |
2.6 |
(62.0–72.1) |
New York-White Plains-Wayne, New York-New Jersey† |
1,612 |
58.0 |
1.6 |
(54.8–61.1) |
Norfolk, Nebraska |
247 |
71.9 |
3.1 |
(65.8–77.9) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
220 574 |
66.5 75.1 |
3.6 2.1 |
(59.4–73.5) (70.9–79.2) |
Ocala, Florida |
305 |
75.3 |
2.8 |
(69.8–80.7) |
Ocean City, New Jersey |
188 |
64.8 |
3.8 |
(57.3–72.2) |
TABLE 20. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA(s) |
Sample Size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
438 |
65.2 |
2.6 |
(60.1–70.2) |
Oklahoma City, Oklahoma |
757 |
71.5 |
1.8 |
(67.9–75.0) |
Olympia, Washington |
210 |
62.0 |
3.9 |
(54.3–69.6) |
Omaha-Council Bluffs, Nebraska-Iowa |
636 |
75.2 |
2.1 |
(71.0–79.3) |
Orlando-Kissimmee, Florida |
857 |
64.2 |
2.0 |
(60.2–68.1) |
Palm Bay-Melbourne-Titusville, Florida |
233 |
67.6 |
3.4 |
(60.9–74.2) |
Panama City-Lynn Haven, Florida |
182 |
72.8 |
4.0 |
(64.9–80.6) |
Pensacola-Ferry Pass-Brent, Florida Peabody, Massachusetts |
317 568 |
71.3 68.8 |
2.9 30. |
(65.6–76.9) (62.9–74.6) |
Philadelphia, Pennsylvania† |
727 |
66.1 |
2.5 |
(61.2–71.0) |
Phoenix-Mesa-Scottsdale, Arizona |
639 |
73.2 |
2.1 |
(69.0–77.3) |
Pittsburgh, Pennsylvania |
859 |
75.2 |
1.6 |
(72.0–78.3) |
Portland-South Portland-Biddeford, Maine |
792 |
73.2 |
1.7 |
(69.8–76.5) |
Portland-Vancouver-Beaverton, Oregon-Washington |
1,058 |
73.9 |
1.7 |
(70.5–77.2) |
Port St. Lucie-Fort Pierce, Florida |
471 |
73.1 |
2.2 |
(68.7–77.4) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
2,819 |
70.0 |
1.2 |
(67.6–72.3) |
Provo-Orem, Utah |
261 |
68.0 |
3.1 |
(61.9–74.0) |
Raleigh-Cary, North Carolina |
238 |
70.3 |
4.0 |
(62.4–78.1) |
Rapid City, South Dakota |
276 |
68.8 |
3.0 |
(62.9–74.6) |
Reno-Sparks, Nevada |
397 |
72.3 |
2.5 |
(67.4–77.2) |
Richmond, Virginia |
220 |
75.2 |
3.5 |
(68.3–82.0) |
Riverside-San Bernardino-Ontario, California |
501 |
62.0 |
2.6 |
(56.9–67.0) |
Rochester, New York |
208 |
75.9 |
3.3 |
(69.4–82.3) |
Rockingham County-Strafford County, New Hampshire† |
446 |
74.8 |
2.3 |
(70.2–79.3) |
Rutland, Vermont |
220 |
70.1 |
3.4 |
(63.4–76.7) |
Sacramento–Arden-Arcade–Roseville, California |
401 |
71.8 |
2.7 |
(66.5–77.0) |
St. Louis, Missouri-Illinois |
526 |
72.4 |
2.8 |
(66.9–77.8) |
Salt Lake City, Utah |
992 |
73.6 |
1.6 |
(70.4–76.7) |
San Antonio, Texas |
396 |
71.4 |
2.8 |
(65.9–76.8) |
San Diego-Carlsbad-San Marcos, California |
479 |
62.8 |
2.8 |
(57.3–68.2) |
San Francisco-Oakland-Fremont, California |
673 |
57.2 |
2.8 |
(51.7–62.6) |
San Jose-Sunnyvale-Santa Clara, California |
247 |
74.0 |
4.1 |
(65.9–82.0) |
Santa Ana-Anaheim-Irvine, California† |
398 |
61.3 |
3.3 |
(54.8–67.7) |
Santa Fe, New Mexico |
188 |
65.7 |
4.1 |
(57.6–73.7) |
Scottsbluff, Nebraska |
327 |
64.3 |
3.4 |
(57.6–70.9) |
Scranton-Wilkes-Barre, Pennsylvania |
208 |
62.1 |
3.8 |
(54.6–69.5) |
Seaford, Delaware |
510 |
73.6 |
2.3 |
(69.0–78.1) |
Seattle-Bellevue-Everett, Washington† |
1,337 |
70.8 |
1.6 |
(67.6–73.9) |
Sebring, Florida |
288 |
66.9 |
3.3 |
(60.4–73.3) |
Shreveport-Bossier City, Louisiana |
228 |
68.2 |
3.6 |
(61.1–75.2) |
Sioux City, Iowa-Nebraska-South Dakota |
395 |
61.9 |
4.9 |
(52.2–71.5) |
Sioux Falls, South Dakota |
264 |
70.9 |
3.0 |
(65.0–76.7) |
Spokane, Washington |
388 |
73.5 |
2.5 |
(68.6–78.4) |
Springfield, Massachusetts |
552 |
71.4 |
2.6 |
(66.3–76.4) |
Tacoma, Washington† |
541 |
73.4 |
2.2 |
(69.0–77.7) |
Tallahassee, Florida |
606 |
68.7 |
3.3 |
(62.2–75.1) |
Tampa-St. Petersburg-Clearwater, Florida |
842 |
68.3 |
2.1 |
(64.1–72.4) |
Toledo, Ohio |
245 |
58.2 |
3.9 |
(50.5–65.8) |
Topeka, Kansas |
269 |
74.0 |
2.9 |
(68.3–79.6) |
Trenton-Ewing, New Jersey |
126 |
64.4 |
5.0 |
(54.6–74.2) |
Tucson, Arizona |
309 |
75.3 |
2.8 |
(69.8–80.7) |
Tulsa, Oklahoma |
718 |
74.1 |
1.9 |
(70.3–77.8) |
Tuscaloosa, Alabama |
156 |
56.7 |
4.4 |
(48.0–65.3) |
Twin Falls, Idaho |
202 |
75.9 |
3.3 |
(69.4–82.3) |
Tyler, Texas |
252 |
72.8 |
3.1 |
(66.7–78.8) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
296 |
68.7 |
3.6 |
(61.6–75.7) |
Warren-Troy-Farmington Hills, Michigan† |
624 |
65.3 |
2.2 |
(60.9–69.6) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia† |
1,680 |
69.4 |
2.4 |
(64.6–74.1) |
Wauchula, Florida |
210 |
64.8 |
3.9 |
(57.1–72.4) |
West Palm Beach-Boca Raton-Boynton Beach, Florida† |
258 |
74.4 |
3.0 |
(68.5–80.2) |
Wichita, Kansas |
607 |
68.4 |
2.0 |
(64.4–72.3) |
Wichita Falls, Texas |
343 |
73.1 |
3.2 |
(66.8–79.3) |
Wilmington, Delaware-Maryland-New Jersey† |
628 |
63.0 |
2.3 |
(58.4–67.5) |
TABLE 20. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by metropolitan and micropolitan statistical area (MMSA)— Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA(s) |
Sample Size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
522 |
73.5 |
2.7 |
(68.2–78.7) |
Yakima, Washington |
244 |
72.3 |
3.1 |
(66.2–78.3) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
369 |
61.8 |
3.9 |
(54.1–69.4) |
Median |
70.0 |
|||
Range |
48.6-79.9 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. † Metropolitan division. |
TABLE 21. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample Size |
% |
SE |
(95% CI) |
Monroe County, Florida |
203 |
61.6 |
4.0 |
(53.7–69.4) |
Nassau County, Florida |
189 |
71.3 |
3.8 |
(63.8–78.7) |
Orange County, Florida |
238 |
59.7 |
3.9 |
(52.0–67.3) |
Osceola County, Florida |
180 |
61.9 |
4.3 |
(53.4–70.3) |
Palm Beach County, Florida |
258 |
74.4 |
3.0 |
(68.5–80.2) |
Pasco County, Florida |
244 |
68.7 |
3.5 |
(61.8–75.5) |
Pinellas County, Florida |
221 |
70.7 |
3.4 |
(64.0–77.3) |
Polk County, Florida |
203 |
67.5 |
3.7 |
(60.2–74.7) |
St. Johns County, Florida |
203 |
76.6 |
3.3 |
(70.1–83.0) |
St. Lucie County, Florida |
216 |
71.6 |
3.2 |
(65.3–77.8) |
Santa Rosa County, Florida |
143 |
64.5 |
4.4 |
(55.8–73.1) |
Sarasota County, Florida |
339 |
75.6 |
2.7 |
(70.3–80.8) |
Seminole County, Florida |
139 |
67.9 |
4.4 |
(59.2–76.5) |
Volusia County, Florida |
387 |
76.8 |
2.5 |
(71.9–81.7) |
Wakulla County, Florida |
145 |
NA |
NA |
NA |
Cobb County, Georgia |
70 |
NA |
NA |
NA |
DeKalb County, Georgia |
87 |
NA |
NA |
NA |
Fulton County, Georgia |
80 |
NA |
NA |
NA |
Gwinnett County, Georgia |
48 |
NA |
NA |
NA |
Hawaii County, Hawaii |
416 |
61.2 |
2.8 |
(55.7–66.6) |
Honolulu County, Hawaii |
967 |
66.3 |
1.8 |
(62.7–69.8) |
Kauai County, Hawaii |
199 |
66.4 |
3.7 |
(59.1–73.6) |
Maui County, Hawaii |
440 |
65.7 |
2.9 |
(60.0–71.3) |
Ada County, Idaho |
265 |
71.2 |
3.0 |
(65.3–77.0) |
Bonneville County, Idaho |
151 |
57.3 |
4.5 |
(48.4–66.1) |
Canyon County, Idaho |
207 |
72.1 |
3.3 |
(65.6–78.5) |
Kootenai County, Idaho |
209 |
62.2 |
3.7 |
(54.9–69.4) |
Nez Perce County, Idaho |
143 |
57.8 |
4.6 |
(48.7–66.8) |
Twin Falls County, Idaho |
166 |
75.4 |
3.7 |
(68.1–82.6) |
Cook County, Illinois |
904 |
61.0 |
2.1 |
(56.8–65.1) |
DuPage County, Illinois |
72 |
NA |
NA |
NA |
Allen County, Indiana |
186 |
69.7 |
3.8 |
(62.2–77.1) |
Lake County, Indiana |
299 |
64.1 |
4.3 |
(55.6–72.5) |
Marion County, Indiana |
433 |
76.1 |
2.8 |
(70.6–81.5) |
Linn County, Iowa |
167 |
69.9 |
3.8 |
(62.4–77.3) |
Polk County, Iowa |
210 |
70.7 |
3.5 |
(63.8–77.5) |
Johnson County, Kansas |
378 |
79.8 |
2.2 |
(75.4–84.1) |
Sedgwick County, Kansas |
458 |
67.3 |
2.3 |
(62.7–71.8) |
Shawnee County, Kansas |
208 |
73.8 |
3.2 |
(67.5–80.0) |
Wyandotte County, Kansas |
211 |
60.7 |
3.9 |
(53.0–68.3) |
Jefferson County, Kentucky |
130 |
68.2 |
4.7 |
(58.9–77.4) |
Caddo Parish, Louisiana |
151 |
65.0 |
4.5 |
(56.1–73.8) |
East Baton Rouge Parish, Louisiana |
210 |
68.0 |
3.8 |
(60.5–75.4) |
Jefferson Parish, Louisiana |
192 |
67.0 |
4.0 |
(59.1–74.8) |
Orleans Parish, Louisiana |
115 |
68.0 |
4.6 |
(58.9–77.0) |
St. Tammany Parish, Louisiana |
93 |
NA |
NA |
NA |
Androscoggin County, Maine |
150 |
65.2 |
4.8 |
(55.7–74.6) |
Cumberland County, Maine |
414 |
75.9 |
2.3 |
(71.3–80.4) |
Kennebec County, Maine |
190 |
71.8 |
3.5 |
(64.9–78.6) |
Penobscot County, Maine |
191 |
77.9 |
3.2 |
(71.6–84.1) |
Sagadahoc County, Maine |
84 |
NA |
NA |
NA |
York County, Maine |
294 |
70.7 |
2.8 |
(65.2–76.1) |
Anne Arundel County, Maryland |
144 |
62.9 |
4.6 |
(53.8–71.9) |
Baltimore County, Maryland |
292 |
73.0 |
2.9 |
(67.3–78.6) |
Cecil County, Maryland |
65 |
NA |
NA |
NA |
Charles County, Maryland |
65 |
NA |
NA |
NA |
Frederick County, Maryland |
131 |
69.3 |
4.8 |
(59.8–78.7) |
Harford County, Maryland |
65 |
NA |
NA |
NA |
Howard County, Maryland |
70 |
79.4 |
5.1 |
(69.4–89.3) |
Montgomery County, Maryland |
265 |
71.6 |
3.4 |
(64.9–78.2) |
Prince George´s County, Maryland |
178 |
62.1 |
4.2 |
(53.8–70.3) |
Queen Anne´s County, Maryland |
80 |
NA |
NA |
NA |
Washington County, Maryland |
123 |
79.0 |
4.3 |
(70.5–87.4) |
TABLE 21. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample Size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
133 |
54.6 |
5.1 |
(44.6–64.5) |
Bristol County, Massachusetts |
766 |
67.3 |
3.1 |
(61.2–73.3) |
Essex County, Massachusetts |
568 |
68.4 |
3.0 |
(62.5–74.2) |
Hampden County, Massachusetts |
444 |
72.0 |
3.1 |
(65.9–78.0) |
Hampshire County, Massachusetts |
64 |
NA |
NA |
NA |
Middlesex County, Massachusetts |
695 |
74.8 |
2.2 |
(70.4–79.1) |
Norfolk County, Massachusetts |
241 |
65.6 |
3.4 |
(58.9–72.2) |
Plymouth County, Massachusetts |
196 |
69.4 |
3.6 |
(62.3–76.4) |
Suffolk County, Massachusetts |
409 |
62.3 |
3.3 |
(55.8–68.7) |
Worcester County, Massachusetts |
522 |
73.5 |
2.7 |
(68.2–78.7) |
Kent County, Michigan |
142 |
72.2 |
4.2 |
(63.9–80.4) |
Macomb County, Michigan |
195 |
66.0 |
3.8 |
(58.5–73.4) |
Oakland County, Michigan |
322 |
64.5 |
3.1 |
(58.4–70.5) |
Wayne County, Michigan |
655 |
67.6 |
2.3 |
(63.0–72.1) |
Anoka County, Minnesota |
73 |
NA |
NA |
NA |
Dakota County, Minnesota |
107 |
NA |
NA |
NA |
Hennepin County, Minnesota |
454 |
73.3 |
3.2 |
(67.0–79.5) |
Ramsey County, Minnesota |
217 |
72.2 |
4.6 |
(63.1–81.2) |
Washington County, Minnesota |
60 |
NA |
NA |
NA |
DeSoto County, Mississippi |
146 |
71.7 |
4.5 |
(62.8–80.5) |
Hinds County, Mississippi |
116 |
73.7 |
4.5 |
(64.8–82.5) |
Jackson County, Missouri |
175 |
71.1 |
3.8 |
(63.6–78.5) |
St. Louis County, Missouri |
201 |
79.3 |
3.8 |
(71.8–86.7) |
St. Louis city, Missouri |
182 |
NA |
NA |
NA |
Flathead County, Montana |
215 |
74.8 |
3.3 |
(68.3–81.2) |
Lewis and Clark County, Montana |
181 |
69.4 |
3.7 |
(62.1–76.6) |
Yellowstone County, Montana |
190 |
76.2 |
3.6 |
(69.1–83.2) |
Adams County, Nebraska |
172 |
77.2 |
3.4 |
(70.5–83.8) |
Dakota County, Nebraska |
249 |
56.9 |
3.3 |
(50.4–63.3) |
Douglas County, Nebraska |
266 |
75.9 |
3.0 |
(70.0–81.7) |
Hall County, Nebraska |
227 |
69.0 |
3.6 |
(61.9–76.0) |
Lancaster County, Nebraska |
273 |
71.5 |
3.1 |
(65.4–77.5) |
Lincoln County, Nebraska |
210 |
67.4 |
3.7 |
(60.1–74.6) |
Madison County, Nebraska |
174 |
73.1 |
3.7 |
(65.8–80.3) |
Sarpy County, Nebraska |
145 |
69.4 |
4.7 |
(60.1–78.6) |
Scotts Bluff County, Nebraska |
316 |
64.8 |
3.5 |
(57.9–71.6) |
Seward County, Nebraska |
101 |
NA |
NA |
NA |
Clark County, Nevada |
399 |
64.0 |
2.9 |
(58.3–69.6) |
Washoe County, Nevada |
389 |
72.7 |
2.6 |
(67.6–77.7) |
Grafton County, New Hampshire |
169 |
68.5 |
4.0 |
(60.6–76.3) |
Hillsborough County, New Hampshire |
403 |
71.2 |
2.5 |
(66.3–76.1) |
Merrimack County, New Hampshire |
206 |
69.3 |
3.7 |
(62.0–76.5) |
Rockingham County, New Hampshire |
272 |
73.4 |
2.9 |
(67.7–79.0) |
Strafford County, New Hampshire |
174 |
77.9 |
3.5 |
(71.0–84.7) |
Atlantic County, New Jersey |
250 |
59.3 |
3.8 |
(51.8–66.7) |
Bergen County, New Jersey |
170 |
58.3 |
4.6 |
(49.2–67.3) |
Burlington County, New Jersey |
165 |
65.6 |
4.2 |
(57.3–73.8) |
Camden County, New Jersey |
152 |
66.3 |
4.5 |
(57.4–75.1) |
Cape May County, New Jersey |
188 |
64.8 |
3.8 |
(57.3–72.2) |
Essex County, New Jersey |
243 |
54.8 |
4.0 |
(46.9–62.6) |
Gloucester County, New Jersey |
141 |
60.2 |
5.1 |
(50.2–70.1) |
Hudson County, New Jersey |
219 |
47.6 |
4.0 |
(39.7–55.4) |
Hunterdon County, New Jersey |
109 |
NA |
NA |
NA |
Mercer County, New Jersey |
126 |
64.4 |
5.0 |
(54.6–74.2) |
Middlesex County, New Jersey |
153 |
76.1 |
3.9 |
(68.4–83.7) |
Monmouth County, New Jersey |
141 |
62.8 |
4.8 |
(53.3–72.2) |
Morris County, New Jersey |
161 |
65.7 |
4.3 |
(57.2–74.1) |
Ocean County, New Jersey |
203 |
75.9 |
3.5 |
(69.0–82.7) |
Passaic County, New Jersey |
139 |
60.3 |
5.0 |
(50.5–70.1) |
Somerset County, New Jersey |
128 |
67.9 |
4.9 |
(58.2–77.5) |
Sussex County, New Jersey |
112 |
65.8 |
5.0 |
(56.0–75.6) |
Union County, New Jersey |
122 |
71.0 |
4.8 |
(61.5–80.4) |
Warren County, New Jersey |
150 |
62.5 |
4.5 |
(53.6–71.3) |
TABLE 21. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample Size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
393 |
74.3 |
2.5 |
(69.4–79.2) |
Dona Ana County, New Mexico |
192 |
66.3 |
3.9 |
(58.6–73.9) |
Sandoval County, New Mexico |
153 |
77.1 |
3.8 |
(69.6–84.5) |
San Juan County, New Mexico |
192 |
63.4 |
4.3 |
(54.9–71.8) |
Santa Fe County, New Mexico |
188 |
65.7 |
4.1 |
(57.6–73.7) |
Valencia County, New Mexico |
107 |
NA |
NA |
NA |
Bronx County, New York |
107 |
NA |
NA |
NA |
Erie County, New York |
170 |
74.2 |
3.7 |
(66.9–81.4) |
Kings County, New York |
214 |
56.6 |
4.1 |
(48.5–64.6) |
Monroe County, New York |
142 |
77.0 |
3.9 |
(69.3–84.6) |
Nassau County, New York |
160 |
72.6 |
4.0 |
(64.7–80.4) |
New York County, New York |
306 |
63.3 |
3.8 |
(55.8–70.7) |
Queens County, New York |
223 |
60.1 |
3.9 |
(52.4–67.7) |
Suffolk County, New York |
194 |
65.3 |
3.8 |
(57.8–72.7) |
Westchester County, New York |
113 |
NA |
NA |
NA |
Buncombe County, North Carolina |
98 |
79.1 |
4.5 |
(70.2–87.9) |
Cabarrus County, North Carolina |
104 |
75.5 |
4.6 |
(66.4–84.5) |
Catawba County, North Carolina |
101 |
75.9 |
4.7 |
(66.6–85.1) |
Durham County, North Carolina |
161 |
80.4 |
3.4 |
(73.7–87.0) |
Gaston County, North Carolina |
84 |
NA |
NA |
NA |
Guilford County, North Carolina |
222 |
69.2 |
3.4 |
(62.5–75.8) |
Johnston County, North Carolina |
70 |
NA |
NA |
NA |
Mecklenburg County, North Carolina |
171 |
69.0 |
4.3 |
(60.5–77.4) |
Orange County, North Carolina |
72 |
NA |
NA |
NA |
Randolph County, North Carolina |
144 |
67.9 |
4.7 |
(58.6–77.1) |
Union County, North Carolina |
99 |
NA |
NA |
NA |
Wake County, North Carolina |
157 |
74.1 |
4.1 |
(66.0–82.1) |
Burleigh County, North Dakota |
163 |
69.8 |
3.7 |
(62.5–77.0) |
Cass County, North Dakota |
223 |
75.7 |
3.1 |
(69.6–81.7) |
Ward County, North Dakota |
137 |
69.7 |
4.4 |
(61.0–78.3) |
Cuyahoga County, Ohio |
215 |
71.8 |
3.3 |
(65.3–78.2) |
Franklin County, Ohio |
169 |
74.4 |
3.6 |
(67.3–81.4) |
Hamilton County, Ohio |
216 |
69.4 |
3.4 |
(62.7–76.0) |
Lucas County, Ohio |
206 |
56.1 |
3.9 |
(48.4–63.7) |
Mahoning County, Ohio |
246 |
62.9 |
3.5 |
(56.0–69.7) |
Montgomery County, Ohio |
243 |
73.9 |
3.2 |
(67.6–80.1) |
Stark County, Ohio |
224 |
67.5 |
3.6 |
(60.4–74.5) |
Summit County, Ohio |
223 |
71.0 |
3.4 |
(64.3–77.6) |
Cleveland County, Oklahoma |
121 |
70.6 |
4.9 |
(60.9–80.2) |
Oklahoma County, Oklahoma |
453 |
73.0 |
2.3 |
(68.4–77.5) |
Tulsa County, Oklahoma |
495 |
71.0 |
2.4 |
(66.2–75.7) |
Clackamas County, Oregon |
142 |
67.4 |
4.3 |
(58.9–75.8) |
Lane County, Oregon |
176 |
74.2 |
3.7 |
(66.9–81.4) |
Multnomah County, Oregon |
248 |
75.9 |
3.0 |
(70.0–81.7) |
Washington County, Oregon |
174 |
77.9 |
3.4 |
(71.2–84.5) |
Allegheny County, Pennsylvania |
491 |
73.4 |
2.2 |
(69.0–77.7) |
Lehigh County, Pennsylvania |
76 |
NA |
NA |
NA |
Luzerne County, Pennsylvania |
119 |
62.0 |
5.0 |
(52.2–71.8) |
Montgomery County, Pennsylvania |
105 |
67.8 |
5.0 |
(58.0–77.6) |
Northampton County, Pennsylvania |
94 |
NA |
NA |
NA |
Philadelphia County, Pennsylvania |
436 |
62.6 |
2.7 |
(57.3–67.8) |
Westmoreland County, Pennsylvania |
124 |
76.5 |
4.3 |
(68.0–84.9) |
Bristol County, Rhode Island |
84 |
78.6 |
4.8 |
(69.1–88.0) |
Kent County, Rhode Island |
294 |
74.6 |
2.9 |
(68.9–80.2) |
Newport County, Rhode Island |
164 |
71.3 |
3.7 |
(64.0–78.5) |
Providence County, Rhode Island |
1,250 |
70.6 |
1.5 |
(67.6–73.5) |
Washington County, Rhode Island |
261 |
65.2 |
3.4 |
(58.5–71.8) |
Aiken County, South Carolina |
180 |
64.6 |
4.0 |
(56.7–72.4) |
Beaufort County, South Carolina |
314 |
72.5 |
2.8 |
(67.0–77.9) |
Berkeley County, South Carolina |
106 |
NA |
NA |
NA |
Charleston County, South Carolina |
239 |
66.6 |
4.5 |
(57.7–75.4) |
Greenville County, South Carolina |
193 |
77.1 |
3.9 |
(69.4–84.7) |
Horry County, South Carolina |
211 |
70.9 |
3.6 |
(63.8–77.9) |
TABLE 21. (Continued) Estimated prevalence of adults aged ≥65 years who had ever received a pneumococcal vaccination, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample Size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
205 |
76.5 |
4.5 |
(67.6–85.3) |
Minnehaha County, South Dakota |
192 |
73.7 |
3.4 |
(67.0–80.3) |
Pennington County, South Dakota |
214 |
69.7 |
3.4 |
(63.0–76.3) |
Davidson County, Tennessee |
139 |
64.1 |
5.0 |
(54.3–73.9) |
Hamilton County, Tennessee |
130 |
63.1 |
4.9 |
(53.4–72.7) |
Knox County, Tennessee |
123 |
71.8 |
4.7 |
(62.5–81.0) |
Shelby County, Tennessee |
130 |
61.3 |
4.9 |
(51.6–70.9) |
Sullivan County, Tennessee |
204 |
71.7 |
3.6 |
(64.6–78.7) |
Bexar County, Texas |
342 |
71.4 |
2.8 |
(65.9–76.8) |
Dallas County, Texas |
138 |
72.3 |
4.4 |
(63.6–80.9) |
El Paso County, Texas |
251 |
65.2 |
3.5 |
(58.3–72.0) |
Fort Bend County, Texas |
204 |
60.5 |
4.1 |
(52.4–68.5) |
Harris County, Texas |
381 |
67.3 |
2.8 |
(61.8–72.7) |
Hidalgo County, Texas |
174 |
62.6 |
4.1 |
(54.5–70.6) |
Lubbock County, Texas |
293 |
69.8 |
3.0 |
(63.9–75.6) |
Midland County, Texas |
207 |
61.0 |
3.8 |
(53.5–68.4) |
Potter County, Texas |
105 |
83.1 |
4.0 |
(75.2–90.9) |
Randall County, Texas |
176 |
72.3 |
3.8 |
(64.8–79.7) |
Smith County, Texas |
252 |
72.8 |
3.1 |
(66.7–78.8) |
Tarrant County, Texas |
192 |
76.3 |
3.5 |
(69.4–83.1) |
Travis County, Texas |
181 |
NA |
NA |
NA |
Val Verde County, Texas |
191 |
61.6 |
3.7 |
(54.3–68.8) |
Webb County, Texas |
186 |
48.6 |
4.1 |
(40.5–56.6) |
Wichita County, Texas |
287 |
72.4 |
2.9 |
(66.7–78.0) |
Davis County, Utah |
198 |
65.7 |
3.7 |
(58.4–72.9) |
Salt Lake County, Utah |
786 |
74.0 |
1.7 |
(70.6–77.3) |
Summit County, Utah |
85 |
77.1 |
4.9 |
(67.4–86.7) |
Tooele County, Utah |
121 |
NA |
NA |
NA |
Utah County, Utah |
245 |
68.0 |
3.2 |
(61.7–74.2) |
Weber County, Utah |
225 |
65.4 |
3.5 |
(58.5–72.2) |
Chittenden County, Vermont |
355 |
75.1 |
2.5 |
(70.2–80.0) |
Franklin County, Vermont |
112 |
72.4 |
4.5 |
(63.5–81.2) |
Orange County, Vermont |
91 |
73.0 |
4.9 |
(63.3–82.6) |
Rutland County, Vermont |
220 |
70.1 |
3.4 |
(63.4–76.7) |
Washington County, Vermont |
226 |
71.9 |
3.4 |
(65.2–78.5) |
Windsor County, Vermont |
234 |
71.1 |
3.2 |
(64.8–77.3) |
Benton County, Washington |
125 |
68.6 |
4.5 |
(59.7–77.4) |
Clark County, Washington |
322 |
74.7 |
2.6 |
(69.6–79.7) |
Franklin County, Washington |
53 |
NA |
NA |
NA |
King County, Washington |
893 |
73.9 |
1.6 |
(70.7–77.0) |
Kitsap County, Washington |
287 |
67.2 |
3.0 |
(61.3–73.0) |
Pierce County, Washington |
541 |
73.8 |
2.1 |
(69.6–77.9) |
Snohomish County, Washington |
444 |
70.6 |
2.4 |
(65.8–75.3) |
Spokane County, Washington |
388 |
73.5 |
2.5 |
(68.6–78.4) |
Thurston County, Washington |
210 |
62.0 |
3.9 |
(54.3–69.6) |
Yakima County, Washington |
244 |
72.3 |
3.1 |
(66.2–78.3) |
Kanawha County, West Virginia |
190 |
67.7 |
3.8 |
(60.2–75.1) |
Milwaukee County, Wisconsin |
301 |
71.4 |
4.2 |
(63.1–79.6) |
Laramie County, Wyoming |
312 |
71.3 |
2.9 |
(65.6–76.9) |
Natrona County, Wyoming |
225 |
73.5 |
3.3 |
(67.0–79.9) |
Median |
70.6 |
|||
Range |
47.6-83.1 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 23. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
638 |
68.9 |
3.0 |
(63.0–74.7) |
Grand Island, Nebraska |
603 |
60.0 |
2.3 |
(55.4–64.5) |
Grand Rapids-Wyoming, Michigan |
412 |
77.2 |
2.7 |
(71.9–82.4) |
Greensboro-High Point, North Carolina |
792 |
71.6 |
2.2 |
(67.2–75.9) |
Greenville, South Carolina |
556 |
69.7 |
2.9 |
(64.0–75.3) |
Hagerstown-Martinsburg, Maryland-West Virginia |
421 |
61.5 |
2.9 |
(55.8–67.1) |
Hartford-West Hartford-East Hartford, Connecticut |
1,318 |
76.9 |
1.5 |
(73.9–79.8) |
Hastings, Nebraska |
410 |
55.6 |
2.8 |
(50.1–61.0) |
Helena, Montana |
468 |
65.4 |
2.5 |
(60.5–70.3) |
Hickory-Morganton-Lenoir, North Carolina |
396 |
64.0 |
3.0 |
(58.1–69.8) |
Hilo, Hawaii |
998 |
58.7 |
1.9 |
(54.9–62.4) |
Hilton Head Island-Beaufort, South Carolina |
588 |
70.9 |
2.4 |
(66.1–75.6) |
Homosassa Springs, Florida |
418 |
69.0 |
2.7 |
(63.7–74.2) |
Honolulu, Hawaii |
1,910 |
61.8 |
1.4 |
(59.0–64.5) |
Houston-Sugar Land-Baytown, Texas |
1,571 |
62.7 |
1.7 |
(59.3–66.0) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
441 |
53.1 |
3.1 |
(47.0–59.1) |
Idaho Falls, Idaho |
392 |
61.6 |
2.9 |
(55.9–67.2) |
Indianapolis-Carmel, Indiana |
1,383 |
68.1 |
1.7 |
(64.7–71.4) |
Jackson, Mississippi |
512 |
64.9 |
2.6 |
(59.8–69.9) |
Jacksonville, Florida |
1,658 |
69.7 |
2.1 |
(65.5–73.8) |
Kahului-Wailuku, Hawaii |
980 |
61.7 |
2.1 |
(57.5–65.8) |
Kalispell, Montana |
467 |
61.3 |
2.7 |
(56.0–66.5) |
Kansas City, Missouri-Kansas |
2,182 |
67.1 |
1.5 |
(64.1–70.0) |
Kapaa, Hawaii |
461 |
63.1 |
2.7 |
(57.8–68.3) |
Kennewick-Richland-Pasco, Washington |
405 |
70.1 |
3.3 |
(63.6–76.5) |
Key West-Marathon, Florida |
385 |
58.5 |
3.4 |
(51.8–65.1) |
Kingsport-Bristol, Tennessee-Virginia |
482 |
58.1 |
3.6 |
(51.0–65.1) |
Knoxville, Tennessee |
358 |
61.5 |
3.3 |
(55.0–67.9) |
Lake City, Florida |
358 |
66.4 |
3.3 |
(59.9–72.8) |
Lakeland-Winter Haven, Florida |
359 |
71.1 |
2.9 |
(65.4–76.7) |
Laredo, Texas |
418 |
37.3 |
3.3 |
(30.8–43.7) |
Las Cruces, New Mexico |
335 |
60.7 |
3.1 |
(54.6–66.7) |
Las Vegas-Paradise, Nevada |
741 |
60.5 |
2.2 |
(56.1–64.8) |
Lebanon, New Hampshire-Vermont |
1,052 |
73.8 |
1.5 |
(70.8–76.7) |
Lewiston, Idaho-Washington |
439 |
72.8 |
2.5 |
(67.9–77.7) |
Lewiston-Auburn, Maine |
317 |
71.7 |
3.1 |
(65.6–77.7) |
Lincoln, Nebraska |
757 |
66.4 |
2.2 |
(62.0–70.7) |
Little Rock-North Little Rock, Arkansas |
585 |
67.2 |
2.5 |
(62.3–72.1) |
Los Angeles-Long Beach-Glendale, California* |
1,305 |
56.3 |
1.8 |
(52.7–59.8) |
Louisville, Kentucky-Indiana |
580 |
65.5 |
2.4 |
(60.7–70.2) |
Lubbock, Texas |
523 |
64.4 |
2.7 |
(59.1–69.6) |
Manchester-Nashua, New Hampshire |
881 |
75.1 |
1.7 |
(71.7–78.4) |
McAllen-Edinburg-Mission, Texas |
332 |
54.0 |
3.5 |
(47.1–60.8) |
Memphis, Tennessee-Mississippi-Arkansas |
747 |
60.3 |
2.7 |
(55.0–65.5) |
Miami-Fort Lauderdale-Miami Beach, Florida |
657 |
66.5 |
2.7 |
(61.2–71.7) |
Midland, Texas |
367 |
56.5 |
3.1 |
(50.4–62.5) |
Milwaukee-Waukesha-West Allis, Wisconsin |
912 |
70.2 |
2.4 |
(65.4–74.9) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,717 |
74.2 |
1.3 |
(71.6–76.7) |
Minot, North Dakota |
341 |
61.5 |
2.9 |
(55.8–67.1) |
Mobile, Alabama |
450 |
59.2 |
3.0 |
(53.3–65.0) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
390 |
66.1 |
2.8 |
(60.6–71.5) |
Naples-Marco Island, Florida |
421 |
72.1 |
3.0 |
(66.2–77.9) |
Nashville-Davidson-Murfreesboro, Tennessee |
523 |
66.2 |
2.8 |
(60.7–71.6) |
Nassau-Suffolk, New York* |
674 |
67.0 |
2.3 |
(62.4–71.5) |
Newark-Union, New Jersey-Pennsylvania* |
1,857 |
65.6 |
1.5 |
(62.6–68.5) |
New Haven-Milford, Connecticut |
1,055 |
74.2 |
1.9 |
(70.4–77.9) |
New Orleans-Metairie-Kenner, Louisiana |
983 |
66.7 |
1.8 |
(63.1–70.2) |
New York-White Plains-Wayne, New York-New Jersey* |
3,438 |
68.8 |
1.1 |
(66.6–70.9) |
Norfolk, Nebraska |
471 |
58.7 |
2.7 |
(53.4–63.9) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
418 888 |
64.9 70.1 |
2.8 1.9 |
(59.4–70.3) (66.3–73.8) |
Ocala, Florida |
443 |
68.0 |
2.8 |
(62.5–73.4) |
Ocean City, New Jersey |
371 |
66.9 |
2.7 |
(61.6–72.1) |
TABLE 23. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
913 |
72.6 |
1.7 |
(69.2–75.9) |
Oklahoma City, Oklahoma |
1,538 |
63.1 |
1.4 |
(60.3–65.8) |
Olympia, Washington |
501 |
72.2 |
2.4 |
(67.4–76.9) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,402 |
68.0 |
1.6 |
(64.8–71.1) |
Orlando-Kissimmee, Florida |
1,665 |
66.0 |
1.7 |
(62.6–69.3) |
Palm Bay-Melbourne-Titusville, Florida |
362 |
76.7 |
2.5 |
(71.8–81.6) |
Panama City-Lynn Haven, Florida |
350 |
75.3 |
3.1 |
(69.2–81.3) |
Peabody, Massachusetts |
1,204 |
74.4 |
2.1 |
(70.2–78.5) |
Pensacola-Ferry Pass-Brent, Florida |
658 |
71.9 |
2.3 |
(67.3–76.4) |
Philadelphia, Pennsylvania* |
1,475 |
71.8 |
1.7 |
(68.4–75.1) |
Phoenix-Mesa-Scottsdale, Arizona |
1,131 |
64.4 |
2.0 |
(60.4–68.3) |
Pittsburgh, Pennsylvania |
1,644 |
66.5 |
1.4 |
(63.7–69.2) |
Portland-South Portland-Biddeford, Maine |
1,754 |
76.5 |
1.3 |
(73.9–79.0) |
Portland-Vancouver-Beaverton, Oregon-Washington |
2,253 |
69.7 |
1.3 |
(67.1–72.2) |
Port St. Lucie-Fort Pierce, Florida |
751 |
71.4 |
2.0 |
(67.4–75.3) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
5,927 |
74.2 |
0.8 |
(72.6–75.7) |
Provo-Orem, Utah |
560 |
68.9 |
2.3 |
(64.3–73.4) |
Raleigh-Cary, North Carolina |
568 |
72.5 |
2.7 |
(67.2–77.7) |
Rapid City, South Dakota |
561 |
69.9 |
2.3 |
(65.3–74.4) |
Reno-Sparks, Nevada |
830 |
69.8 |
1.9 |
(66.0–73.5) |
Richmond, Virginia |
498 |
69.9 |
3.1 |
(63.8–75.9) |
Riverside-San Bernardino-Ontario, California |
1,003 |
55.4 |
1.9 |
(51.6–59.1) |
Rochester, New York |
402 |
73.9 |
2.7 |
(68.6–79.1) |
Rockingham County-Strafford County, New Hampshire* |
1,018 |
76.6 |
1.6 |
(73.4–79.7) |
Rutland, Vermont |
456 |
72.3 |
2.5 |
(67.4–77.2) |
Sacramento-Arden-Arcade-Roseville, California |
793 |
70.9 |
2.1 |
(66.7–75.0) |
St. Louis, Missouri-Illinois |
1,093 |
69.3 |
2.1 |
(65.1–73.4) |
Salt Lake City, Utah |
2,331 |
71.5 |
1.1 |
(69.3–73.6) |
San Antonio, Texas |
714 |
67.7 |
2.7 |
(62.4–72.9) |
San Diego-Carlsbad-San Marcos, California |
964 |
64.5 |
2.0 |
(60.5–68.4) |
San Francisco-Oakland-Fremont, California |
1,356 |
67.6 |
1.8 |
(64.0–71.1) |
San Jose-Sunnyvale-Santa Clara, California |
479 |
63.5 |
3.1 |
(57.4–69.5) |
Santa Ana-Anaheim-Irvine, California* |
815 |
64.8 |
2.2 |
(60.4–69.1) |
Santa Fe, New Mexico |
445 |
68.4 |
2.7 |
(63.1–73.6) |
Scottsbluff, Nebraska |
579 |
51.8 |
2.7 |
(46.5–57.0) |
Scranton–Wilkes-Barre, Pennsylvania |
389 |
68.4 |
2.8 |
(62.9–73.8) |
Seaford, Delaware |
936 |
74.5 |
1.7 |
(71.1–77.8) |
Seattle-Bellevue-Everett, Washington* |
3,032 |
71.4 |
1.1 |
(69.2–73.5) |
Sebring, Florida |
419 |
73.0 |
2.7 |
(67.7–78.2) |
Shreveport-Bossier City, Louisiana |
445 |
61.4 |
2.9 |
(55.7–67.0) |
Sioux City, Iowa-Nebraska-South Dakota |
754 |
58.9 |
3.5 |
(52.0–65.7) |
Sioux Falls, South Dakota |
536 |
74.8 |
2.1 |
(70.6–78.9) |
Spokane, Washington |
817 |
70.8 |
1.9 |
(67.0–74.5) |
Springfield, Massachusetts |
1,252 |
74.1 |
1.7 |
(70.7–77.4) |
Tacoma, Washington* |
1,111 |
73.4 |
1.7 |
(70.0–76.7) |
Tallahassee, Florida |
1,318 |
76.3 |
2.0 |
(72.3–80.2) |
Tampa-St. Petersburg-Clearwater, Florida |
1,454 |
68.0 |
1.7 |
(64.6–71.3) |
Toledo, Ohio |
562 |
64.6 |
2.6 |
(59.5–69.6) |
Topeka, Kansas |
579 |
72.1 |
2.2 |
(67.7–76.4) |
Trenton-Ewing, New Jersey |
297 |
69.1 |
3.1 |
(63.0–75.1) |
Tucson, Arizona |
512 |
71.1 |
2.5 |
(66.2–76.0) |
Tulsa, Oklahoma |
1,384 |
59.2 |
1.6 |
(56.0–62.3) |
Tuscaloosa, Alabama |
319 |
60.6 |
3.2 |
(54.3–66.8) |
Twin Falls, Idaho |
386 |
53.8 |
3.0 |
(47.9–59.6) |
Tyler, Texas |
451 |
75.2 |
2.5 |
(70.3–80.1) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
649 |
74.9 |
2.3 |
(70.3–79.4) |
Warren-Troy-Farmington Hills, Michigan* |
1,246 |
73.4 |
1.5 |
(70.4–76.3) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia* |
3,755 |
72.7 |
1.8 |
(69.1–76.2) |
Wauchula, Florida |
354 |
57.4 |
3.2 |
(51.1–63.6) |
West Palm Beach-Boca Raton-Boynton Beach, Florida* |
412 |
73.4 |
2.9 |
(67.7–79.0) |
Wichita, Kansas |
1,241 |
68.1 |
1.5 |
(65.1–71.0) |
Wichita Falls, Texas |
590 |
64.0 |
2.8 |
(58.5–69.4) |
Wilmington, Delaware-Maryland-New Jersey* |
1,364 |
71.2 |
1.5 |
(68.2–74.1) |
TABLE 23. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
1,207 |
76.2 |
1.7 |
(72.8–79.5) |
Yakima, Washington |
492 |
60.6 |
2.9 |
(54.9–66.2) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
743 |
59.7 |
2.8 |
(54.2–65.1) |
Median |
67.7 |
|||
Range |
37.3-79.9 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Metropolitan division. |
TABLE 24. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
385 |
58.5 |
3.4 |
(51.8-65.1) |
Nassau County, Florida |
348 |
67.0 |
3.3 |
(60.5-73.4) |
Orange County, Florida |
552 |
61.5 |
2.9 |
(55.8-67.1) |
Osceola County, Florida |
355 |
63.9 |
3.3 |
(57.4-70.3) |
Palm Beach County, Florida |
412 |
73.4 |
2.9 |
(67.7-79.0) |
Pasco County, Florida |
385 |
65.2 |
2.9 |
(59.5-70.8) |
Pinellas County, Florida |
374 |
67.4 |
2.9 |
(61.7-73.0) |
Polk County, Florida |
359 |
71.1 |
2.9 |
(65.4-76.7) |
St. Johns County, Florida |
353 |
79.9 |
2.5 |
(75.0-84.8) |
St. Lucie County, Florida |
347 |
69.6 |
2.8 |
(64.1-75.0) |
Santa Rosa County, Florida |
310 |
70.7 |
3.5 |
(63.8-77.5) |
Sarasota County, Florida |
492 |
69.3 |
2.6 |
(64.2-74.3) |
Seminole County, Florida |
305 |
68.8 |
3.3 |
(62.3-75.2) |
Volusia County, Florida |
657 |
71.8 |
2.4 |
(67.0-76.5) |
Wakulla County, Florida |
314 |
67.5 |
4.7 |
(58.2-76.7) |
Cobb County, Georgia |
156 |
70.1 |
4.9 |
(60.4-79.7) |
DeKalb County, Georgia |
197 |
68.8 |
4.2 |
(60.5-77.0) |
Fulton County, Georgia |
191 |
73.0 |
4.2 |
(64.7-81.2) |
Gwinnett County, Georgia |
133 |
73.0 |
4.4 |
(64.3-81.6) |
Hawaii County, Hawaii |
998 |
58.7 |
1.9 |
(54.9-62.4) |
Honolulu County, Hawaii |
1,910 |
61.8 |
1.4 |
(59.0-64.5) |
Kauai County, Hawaii |
461 |
63.1 |
2.7 |
(57.8-68.3) |
Maui County, Hawaii |
980 |
61.7 |
2.1 |
(57.5-65.8) |
Ada County, Idaho |
539 |
66.9 |
2.5 |
(62.0-71.8) |
Bonneville County, Idaho |
302 |
63.1 |
3.2 |
(56.8-69.3) |
Canyon County, Idaho |
371 |
55.7 |
3.0 |
(49.8-61.5) |
Kootenai County, Idaho |
414 |
66.5 |
2.6 |
(61.4-71.5) |
Nez Perce County, Idaho |
263 |
71.4 |
3.1 |
(65.3-77.4) |
Twin Falls County, Idaho |
305 |
53.4 |
3.4 |
(46.7-60.0) |
Cook County, Illinois |
1,796 |
60.1 |
1.6 |
(56.9-63.2) |
DuPage County, Illinois |
152 |
62.5 |
4.6 |
(53.4-71.5) |
Allen County, Indiana |
376 |
61.2 |
3.2 |
(54.9-67.4) |
Lake County, Indiana |
629 |
58.5 |
3.4 |
(51.8-65.1) |
Marion County, Indiana |
929 |
71.2 |
2.2 |
(66.8-75.5) |
Linn County, Iowa |
309 |
71.6 |
2.9 |
(65.9-77.2) |
Polk County, Iowa |
477 |
66.2 |
2.4 |
(61.4-70.9) |
Johnson County, Kansas |
873 |
72.9 |
1.8 |
(69.3-76.4) |
Sedgwick County, Kansas |
957 |
70.4 |
1.7 |
(67.0-73.7) |
Shawnee County, Kansas |
444 |
74.5 |
2.5 |
(69.6-79.4) |
Wyandotte County, Kansas |
412 |
58.7 |
3.1 |
(52.6-64.7) |
Jefferson County, Kentucky |
265 |
65.7 |
3.5 |
(58.8-72.5) |
Caddo Parish, Louisiana |
294 |
63.3 |
3.6 |
(56.2-70.3) |
East Baton Rouge Parish, Louisiana |
450 |
68.1 |
2.7 |
(62.8-73.3) |
Jefferson Parish, Louisiana |
395 |
61.6 |
2.9 |
(55.9-67.2) |
Orleans Parish, Louisiana |
248 |
63.7 |
3.7 |
(56.4-70.9) |
St. Tammany Parish, Louisiana |
228 |
76.0 |
3.2 |
(69.7-82.2) |
Androscoggin County, Maine |
317 |
71.7 |
3.1 |
(65.6-77.7) |
Cumberland County, Maine |
934 |
75.4 |
1.8 |
(71.8-78.9) |
Kennebec County, Maine |
438 |
77.1 |
2.2 |
(72.7-81.4) |
Penobscot County, Maine |
452 |
73.1 |
2.3 |
(68.5-77.6) |
Sagadahoc County, Maine |
200 |
77.4 |
3.4 |
(70.7-84.0) |
York County, Maine |
620 |
78.2 |
1.9 |
(74.4-81.9) |
Anne Arundel County, Maryland |
359 |
73.0 |
2.9 |
(67.3-78.6) |
Baltimore County, Maryland |
646 |
72.2 |
2.1 |
(68.0-76.3) |
Cecil County, Maryland |
159 |
62.3 |
4.4 |
(53.6-70.9) |
Charles County, Maryland |
172 |
79.0 |
3.5 |
(72.1-85.8) |
Frederick County, Maryland |
315 |
70.1 |
3.0 |
(64.2-75.9) |
Harford County, Maryland |
161 |
66.7 |
4.3 |
(58.2-75.1) |
Howard County, Maryland |
179 |
80.6 |
3.1 |
(74.5-86.6) |
Montgomery County, Maryland |
617 |
76.8 |
2.0 |
(72.8-80.7) |
Prince George´s County, Maryland |
424 |
77.0 |
2.4 |
(72.2-81.7) |
Queen Anne´s County, Maryland |
188 |
75.2 |
3.6 |
(68.1-82.2) |
Washington County, Maryland |
267 |
67.4 |
3.5 |
(60.5-74.2) |
TABLE 24. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
321 |
66.2 |
3.4 |
(59.5-72.8) |
Bristol County, Massachusetts |
1,705 |
72.9 |
2.1 |
(68.7-77.0) |
Essex County, Massachusetts |
1,204 |
74.8 |
2.1 |
(70.6-78.9) |
Hampden County, Massachusetts |
968 |
74.4 |
2.1 |
(70.2-78.5) |
Hampshire County, Massachusetts |
176 |
76.2 |
3.5 |
(69.3-83.0) |
Middlesex County, Massachusetts |
1,617 |
76.5 |
1.5 |
(73.5-79.4) |
Norfolk County, Massachusetts |
506 |
79.6 |
2.1 |
(75.4-83.7) |
Plymouth County, Massachusetts |
415 |
75.7 |
2.7 |
(70.4-80.9) |
Suffolk County, Massachusetts |
958 |
77.2 |
1.8 |
(73.6-80.7) |
Worcester County, Massachusetts |
1,207 |
76.2 |
1.7 |
(72.8-79.5) |
Kent County, Michigan |
294 |
76.3 |
3.5 |
(69.4-83.1) |
Macomb County, Michigan |
343 |
70.7 |
2.9 |
(65.0-76.3) |
Oakland County, Michigan |
664 |
76.0 |
2.1 |
(71.8-80.1) |
Wayne County, Michigan |
1,314 |
68.2 |
2.0 |
(64.2-72.1) |
Anoka County, Minnesota |
201 |
72.8 |
4.2 |
(64.5-81.0) |
Dakota County, Minnesota |
298 |
74.2 |
3.4 |
(67.5-80.8) |
Hennepin County, Minnesota |
1,176 |
75.4 |
2.1 |
(71.2-79.5) |
Ramsey County, Minnesota |
564 |
75.7 |
3.1 |
(69.6-81.7) |
Washington County, Minnesota |
127 |
78.4 |
4.3 |
(69.9-86.8) |
DeSoto County, Mississippi |
257 |
68.7 |
4.2 |
(60.4-76.9) |
Hinds County, Mississippi |
222 |
62.9 |
4.3 |
(54.4-71.3) |
Jackson County, Missouri |
342 |
66.9 |
3.1 |
(60.8-72.9) |
St. Louis County, Missouri |
383 |
71.4 |
3.3 |
(64.9-77.8) |
St. Louis city, Missouri |
390 |
62.3 |
4.1 |
(54.2-70.3) |
Flathead County, Montana |
467 |
61.3 |
2.7 |
(56.0-66.5) |
Lewis and Clark County, Montana |
384 |
66.6 |
2.8 |
(61.1-72.0) |
Yellowstone County, Montana |
344 |
65.6 |
3.1 |
(59.5-71.6) |
Adams County, Nebraska |
330 |
57.3 |
3.1 |
(51.2-63.3) |
Dakota County, Nebraska |
455 |
55.1 |
2.8 |
(49.6-60.5) |
Douglas County, Nebraska |
583 |
66.8 |
2.3 |
(62.2-71.3) |
Hall County, Nebraska |
406 |
61.4 |
2.7 |
(56.1-66.6) |
Lancaster County, Nebraska |
552 |
67.7 |
2.4 |
(62.9-72.4) |
Lincoln County, Nebraska |
397 |
66.5 |
2.8 |
(61.0-71.9) |
Madison County, Nebraska |
330 |
60.2 |
3.1 |
(54.1-66.2) |
Sarpy County, Nebraska |
331 |
74.9 |
3.2 |
(68.6-81.1) |
Scotts Bluff County, Nebraska |
559 |
52.7 |
2.7 |
(47.4-57.9) |
Seward County, Nebraska |
205 |
53.0 |
4.0 |
(45.1-60.8) |
Clark County, Nevada |
741 |
60.5 |
2.2 |
(56.1-64.8) |
Washoe County, Nevada |
815 |
69.8 |
1.9 |
(66.0-73.5) |
Grafton County, New Hampshire |
339 |
77.1 |
2.6 |
(72.0-82.1) |
Hillsborough County, New Hampshire |
881 |
75.1 |
1.7 |
(71.7-78.4) |
Merrimack County, New Hampshire |
431 |
76.8 |
2.3 |
(72.2-81.3) |
Rockingham County, New Hampshire |
645 |
78.3 |
1.9 |
(74.5-82.0) |
Strafford County, New Hampshire |
373 |
72.0 |
2.8 |
(66.5-77.4) |
Atlantic County, New Jersey |
571 |
61.9 |
2.5 |
(57.0-66.8) |
Bergen County, New Jersey |
354 |
67.8 |
3.1 |
(61.7-73.8) |
Burlington County, New Jersey |
340 |
71.1 |
2.8 |
(65.6-76.5) |
Camden County, New Jersey |
362 |
68.8 |
2.9 |
(63.1-74.4) |
Cape May County, New Jersey |
371 |
66.9 |
2.7 |
(61.6-72.1) |
Essex County, New Jersey |
530 |
67.8 |
2.5 |
(62.9-72.7) |
Gloucester County, New Jersey |
305 |
66.3 |
3.3 |
(59.8-72.7) |
Hudson County, New Jersey |
521 |
58.2 |
2.8 |
(52.7-63.6) |
Hunterdon County, New Jersey |
304 |
73.5 |
3.0 |
(67.6-79.3) |
Mercer County, New Jersey |
297 |
69.1 |
3.1 |
(63.0-75.1) |
Middlesex County, New Jersey |
343 |
70.5 |
3.0 |
(64.6-76.3) |
Monmouth County, New Jersey |
335 |
63.1 |
3.1 |
(57.0-69.1) |
Morris County, New Jersey |
403 |
63.8 |
2.9 |
(58.1-69.4) |
Ocean County, New Jersey |
354 |
67.4 |
3.0 |
(61.5-73.2) |
Passaic County, New Jersey |
275 |
47.8 |
3.6 |
(40.7-54.8) |
Somerset County, New Jersey |
287 |
74.3 |
3.1 |
(68.2-80.3) |
Sussex County, New Jersey |
302 |
59.2 |
3.4 |
(52.5-65.8) |
Union County, New Jersey |
280 |
66.6 |
3.4 |
(59.9-73.2) |
Warren County, New Jersey |
303 |
64.7 |
3.1 |
(58.6-70.7) |
TABLE 24. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
819 |
66.2 |
1.9 |
(62.4-69.9) |
Dona Ana County, New Mexico |
335 |
60.7 |
3.1 |
(54.6-66.7) |
Sandoval County, New Mexico |
338 |
67.7 |
3.4 |
(61.0-74.3) |
San Juan County, New Mexico |
440 |
57.5 |
2.9 |
(51.8-63.1) |
Santa Fe County, New Mexico |
445 |
68.4 |
2.7 |
(63.1-73.6) |
Valencia County, New Mexico |
234 |
61.6 |
4.0 |
(53.7-69.4) |
Bronx County, New York |
228 |
65.6 |
3.8 |
(58.1-73.0) |
Erie County, New York |
338 |
73.9 |
2.7 |
(68.6-79.1) |
Kings County, New York |
480 |
66.2 |
2.9 |
(60.5-71.8) |
Monroe County, New York |
268 |
73.5 |
3.5 |
(66.6-80.3) |
Nassau County, New York |
309 |
65.5 |
3.5 |
(58.6-72.3) |
New York County, New York |
669 |
75.6 |
2.3 |
(71.0-80.1) |
Queens County, New York |
452 |
69.9 |
2.7 |
(64.6-75.1) |
Suffolk County, New York |
365 |
67.6 |
3.0 |
(61.7-73.4) |
Westchester County, New York |
221 |
80.4 |
3.0 |
(74.5-86.2) |
Buncombe County, North Carolina |
186 |
64.6 |
4.5 |
(55.7-73.4) |
Cabarrus County, North Carolina |
186 |
70.4 |
4.2 |
(62.1-78.6) |
Catawba County, North Carolina |
205 |
62.9 |
3.8 |
(55.4-70.3) |
Durham County, North Carolina |
362 |
75.2 |
2.8 |
(69.7-80.6) |
Gaston County, North Carolina |
178 |
67.9 |
4.1 |
(59.8-75.9) |
Guilford County, North Carolina |
464 |
73.4 |
2.4 |
(68.6-78.1) |
Johnston County, North Carolina |
159 |
70.2 |
3.8 |
(62.7-77.6) |
Mecklenburg County, North Carolina |
351 |
77.2 |
2.9 |
(71.5-82.8) |
Orange County, North Carolina |
173 |
66.0 |
4.1 |
(57.9-74.0) |
Randolph County, North Carolina |
276 |
70.7 |
3.2 |
(64.4-76.9) |
Union County, North Carolina |
214 |
63.4 |
4.2 |
(55.1-71.6) |
Wake County, North Carolina |
383 |
74.2 |
3.2 |
(67.9-80.4) |
Burleigh County, North Dakota |
362 |
65.4 |
2.8 |
(59.9-70.8) |
Cass County, North Dakota |
490 |
74.0 |
2.2 |
(69.6-78.3) |
Ward County, North Dakota |
284 |
62.4 |
3.3 |
(55.9-68.8) |
Cuyahoga County, Ohio |
466 |
62.3 |
2.7 |
(57.0-67.5) |
Franklin County, Ohio |
397 |
66.2 |
2.7 |
(60.9-71.4) |
Hamilton County, Ohio |
461 |
66.5 |
2.7 |
(61.2-71.7) |
Lucas County, Ohio |
474 |
63.7 |
2.7 |
(58.4-68.9) |
Mahoning County, Ohio |
519 |
58.5 |
2.6 |
(53.4-63.5) |
Montgomery County, Ohio |
495 |
73.3 |
2.3 |
(68.7-77.8) |
Stark County, Ohio |
489 |
66.5 |
2.5 |
(61.6-71.4) |
Summit County, Ohio |
473 |
64.0 |
2.6 |
(58.9-69.0) |
Cleveland County, Oklahoma |
260 |
61.0 |
3.5 |
(54.1-67.8) |
Oklahoma County, Oklahoma |
898 |
64.6 |
1.9 |
(60.8-68.3) |
Tulsa County, Oklahoma |
947 |
57.2 |
2.0 |
(53.2-61.1) |
Clackamas County, Oregon |
313 |
68.8 |
3.1 |
(62.7-74.8) |
Lane County, Oregon |
367 |
64.3 |
2.9 |
(58.6-69.9) |
Multnomah County, Oregon |
512 |
70.6 |
2.4 |
(65.8-75.3) |
Washington County, Oregon |
361 |
67.3 |
2.9 |
(61.6-72.9) |
Allegheny County, Pennsylvania |
931 |
67.1 |
1.8 |
(63.5-70.6) |
Lehigh County, Pennsylvania |
172 |
71.3 |
4.1 |
(63.2-79.3) |
Luzerne County, Pennsylvania |
223 |
61.5 |
3.8 |
(54.0-68.9) |
Montgomery County, Pennsylvania |
214 |
70.3 |
3.7 |
(63.0-77.5) |
Northampton County, Pennsylvania |
165 |
66.5 |
4.5 |
(57.6-75.3) |
Philadelphia County, Pennsylvania |
882 |
69.0 |
1.9 |
(65.2-72.7) |
Westmoreland County, Pennsylvania |
228 |
65.9 |
3.9 |
(58.2-73.5) |
Bristol County, Rhode Island |
189 |
79.8 |
3.3 |
(73.3-86.2) |
Kent County, Rhode Island |
603 |
73.9 |
2.1 |
(69.7-78.0) |
Newport County, Rhode Island |
326 |
74.6 |
2.9 |
(68.9-80.2) |
Providence County, Rhode Island |
2,606 |
72.1 |
1.1 |
(69.9-74.2) |
Washington County, Rhode Island |
498 |
82.5 |
2.0 |
(78.5-86.4) |
Aiken County, South Carolina |
329 |
66.0 |
3.2 |
(59.7-72.2) |
Beaufort County, South Carolina |
504 |
72.7 |
2.5 |
(67.8-77.6) |
Berkeley County, South Carolina |
237 |
NA |
NA |
NA |
Charleston County, South Carolina |
460 |
78.4 |
2.7 |
(73.1-83.6) |
Greenville County, South Carolina |
359 |
73.0 |
3.4 |
(66.3-79.6) |
Horry County, South Carolina |
390 |
66.1 |
2.8 |
(60.6-71.5) |
TABLE 24. (Continued) Estimated prevalence of adults aged ≥50 years who ever had a sigmoidoscopy or colonoscopy, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
409 |
75.0 |
3.3 |
(68.5-81.4) |
Minnehaha County, South Dakota |
392 |
74.9 |
2.4 |
(70.1-79.6) |
Pennington County, South Dakota |
444 |
71.8 |
2.4 |
(67.0-76.5) |
Davidson County, Tennessee |
268 |
60.3 |
4.2 |
(52.0-68.5) |
Hamilton County, Tennessee |
252 |
66.9 |
4.5 |
(58.0-75.7) |
Knox County, Tennessee |
253 |
60.1 |
3.8 |
(52.6-67.5) |
Shelby County, Tennessee |
252 |
61.0 |
4.1 |
(52.9-69.0) |
Sullivan County, Tennessee |
343 |
63.5 |
3.3 |
(57.0-69.9) |
Bexar County, Texas |
609 |
70.5 |
2.6 |
(65.4-75.5) |
Dallas County, Texas |
257 |
60.8 |
4.2 |
(52.5-69.0) |
El Paso County, Texas |
508 |
51.5 |
2.6 |
(46.4-56.5) |
Fort Bend County, Texas |
524 |
60.9 |
2.6 |
(55.8-65.9) |
Harris County, Texas |
823 |
60.2 |
2.2 |
(55.8-64.5) |
Hidalgo County, Texas |
332 |
54.0 |
3.5 |
(47.1-60.8) |
Lubbock County, Texas |
507 |
64.2 |
2.7 |
(58.9-69.4) |
Midland County, Texas |
367 |
56.5 |
3.1 |
(50.4-62.5) |
Potter County, Texas |
204 |
63.4 |
3.9 |
(55.7-71.0) |
Randall County, Texas |
327 |
68.6 |
3.2 |
(62.3-74.8) |
Smith County, Texas |
451 |
75.2 |
2.5 |
(70.3-80.1) |
Tarrant County, Texas |
383 |
69.5 |
3.2 |
(63.2-75.7) |
Travis County, Texas |
441 |
72.4 |
4.3 |
(63.9-80.8) |
Val Verde County, Texas |
351 |
39.5 |
3.8 |
(32.0-46.9) |
Webb County, Texas |
418 |
37.3 |
3.3 |
(30.8-43.7) |
Wichita County, Texas |
479 |
64.3 |
2.8 |
(58.8-69.7) |
Davis County, Utah |
442 |
73.1 |
2.4 |
(68.3-77.8) |
Salt Lake County, Utah |
1,806 |
71.4 |
1.2 |
(69.0-73.7) |
Summit County, Utah |
263 |
73.1 |
2.9 |
(67.4-78.7) |
Tooele County, Utah |
262 |
71.4 |
3.4 |
(64.7-78.0) |
Utah County, Utah |
527 |
68.5 |
2.4 |
(63.7-73.2) |
Weber County, Utah |
446 |
71.5 |
2.5 |
(66.6-76.4) |
Chittenden County, Vermont |
905 |
77.0 |
1.6 |
(73.8-80.1) |
Franklin County, Vermont |
279 |
71.4 |
2.9 |
(65.7-77.0) |
Orange County, Vermont |
242 |
68.5 |
3.4 |
(61.8-75.1) |
Rutland County, Vermont |
456 |
72.3 |
2.5 |
(67.4-77.2) |
Washington County, Vermont |
460 |
78.4 |
2.2 |
(74.0-82.7) |
Windsor County, Vermont |
471 |
72.1 |
2.4 |
(67.3-76.8) |
Benton County, Washington |
255 |
76.4 |
3.2 |
(70.1-82.6) |
Clark County, Washington |
738 |
73.7 |
2.0 |
(69.7-77.6) |
Franklin County, Washington |
150 |
NA |
NA |
NA |
King County, Washington |
1,989 |
71.7 |
1.2 |
(69.3-74.0) |
Kitsap County, Washington |
627 |
72.9 |
2.0 |
(68.9-76.8) |
Pierce County, Washington |
1,111 |
73.5 |
1.6 |
(70.3-76.6) |
Snohomish County, Washington |
1,043 |
73.2 |
1.7 |
(69.8-76.5) |
Spokane County, Washington |
817 |
70.8 |
1.9 |
(67.0-74.5) |
Thurston County, Washington |
501 |
72.2 |
2.4 |
(67.4-76.9) |
Yakima County, Washington |
492 |
60.6 |
2.9 |
(54.9-66.2) |
Kanawha County, West Virginia |
365 |
63.6 |
2.9 |
(57.9-69.2) |
Milwaukee County, Wisconsin |
729 |
63.7 |
3.1 |
(57.6-69.7) |
Laramie County, Wyoming |
610 |
64.8 |
2.3 |
(60.2-69.3) |
Natrona County, Wyoming |
517 |
61.6 |
2.4 |
(56.8-66.3) |
Median |
68.8 |
|||
Range |
37.3-82.5 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 26. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample Size |
% |
SE |
(95% CI) |
Gainesville, Florida |
632 |
18.7 |
2.3 |
(14.1–23.2) |
Grand Island, Nebraska |
602 |
20.0 |
1.8 |
(16.4–23.5) |
Grand Rapids-Wyoming, Michigan |
406 |
17.4 |
2.2 |
(13.0–21.7) |
Greensboro-High Point, North Carolina |
770 |
26.7 |
2.1 |
(22.5–30.8) |
Greenville, South Carolina |
545 |
14.9 |
2.2 |
(10.5–19.2) |
Hagerstown-Martinsburg, Maryland-West Virginia |
413 |
16.2 |
2.1 |
(12.0–20.3) |
Hartford-West Hartford-East Hartford, Connecticut |
1,298 |
19.8 |
1.3 |
(17.2–22.3) |
Hastings, Nebraska |
408 |
23.2 |
2.3 |
(18.6–27.7) |
Helena, Montana |
461 |
23.5 |
2.1 |
(19.3–27.6) |
Hickory-Morganton-Lenoir, North Carolina |
387 |
20.0 |
2.2 |
(15.6–24.3) |
Hilo, Hawaii |
992 |
18.1 |
1.4 |
(15.3–20.8) |
Hilton Head Island-Beaufort, South Carolina |
581 |
11.9 |
1.4 |
(9.1–14.6) |
Homosassa Springs, Florida |
413 |
24.4 |
2.5 |
(19.5–29.3) |
Honolulu, Hawaii |
1,896 |
26.4 |
1.2 |
(24.0–28.7) |
Houston-Sugar Land-Baytown, Texas |
1,555 |
13.4 |
1.2 |
(11.0–15.7) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
437 |
16.6 |
2.3 |
(12.0–21.1) |
Idaho Falls, Idaho |
390 |
8.0 |
1.4 |
(5.2–10.7) |
Indianapolis-Carmel, Indiana |
1,378 |
14.3 |
1.2 |
(11.9–16.6) |
Jackson, Mississippi |
505 |
17.9 |
1.9 |
(14.1–21.6) |
Jacksonville, Florida |
1,639 |
15.8 |
1.4 |
(13.0–18.5) |
Kahului-Wailuku, Hawaii |
979 |
29.7 |
1.9 |
(25.9–33.4) |
Kalispell, Montana |
466 |
9.5 |
1.4 |
(6.7–12.2) |
Kansas City, Missouri-Kansas |
2,147 |
16.1 |
1.1 |
(13.9–18.2) |
Kapaa, Hawaii |
457 |
16.5 |
2.1 |
(12.3–20.6) |
Kennewick-Richland-Pasco, Washington |
396 |
19.8 |
2.3 |
(15.2–24.3) |
Key West-Marathon, Florida |
384 |
15.7 |
2.1 |
(11.5–19.8) |
Kingsport-Bristol, Tennessee-Virginia |
473 |
28.1 |
4.0 |
(20.2–35.9) |
Knoxville, Tennessee |
354 |
26.3 |
2.8 |
(20.8–31.7) |
Lake City, Florida |
351 |
24.7 |
3.2 |
(18.4–30.9) |
Lakeland-Winter Haven, Florida |
355 |
16.6 |
2.2 |
(12.2–20.9) |
Laredo, Texas |
419 |
7.1 |
1.3 |
(4.5–9.6) |
Las Cruces, New Mexico |
334 |
12.9 |
2.2 |
(8.5–17.2) |
Las Vegas-Paradise, Nevada |
737 |
17.8 |
1.6 |
(14.6–20.9) |
Lebanon, New Hampshire-Vermont |
1,031 |
22.0 |
1.4 |
(19.2–24.7) |
Lewiston, Idaho-Washington |
431 |
15.1 |
1.9 |
(11.3–18.8) |
Lewiston-Auburn, Maine |
311 |
25.5 |
2.7 |
(20.2–30.7) |
Lincoln, Nebraska |
752 |
14.1 |
1.4 |
(11.3–16.8) |
Little Rock-North Little Rock, Arkansas |
581 |
13.5 |
1.7 |
(10.1–16.8) |
Los Angeles-Long Beach-Glendale, California* |
1,302 |
22.9 |
1.4 |
(20.1–25.6) |
Louisville, Kentucky-Indiana |
574 |
16.3 |
1.9 |
(12.5–20.0) |
Lubbock, Texas |
514 |
11.8 |
1.6 |
(8.6–14.9) |
Manchester-Nashua, New Hampshire |
867 |
14.2 |
1.3 |
(11.6–16.7) |
McAllen-Edinburg-Mission, Texas |
329 |
10.8 |
1.9 |
(7.0–14.5) |
Memphis, Tennessee-Mississippi-Arkansas |
732 |
18.3 |
2.1 |
(14.1–22.4) |
Miami-Fort Lauderdale-Miami Beach, Florida |
646 |
17.4 |
1.8 |
(13.8–20.9) |
Midland, Texas |
368 |
19.4 |
2.5 |
(14.5–24.3) |
Milwaukee-Waukesha-West Allis, Wisconsin |
906 |
11.9 |
1.6 |
(8.7–15.0) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,659 |
11.3 |
0.8 |
(9.7–12.8) |
Minot, North Dakota |
339 |
12.9 |
2.0 |
(8.9–16.8) |
Mobile, Alabama |
436 |
19.7 |
2.5 |
(14.8–24.6) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
385 |
19.2 |
2.3 |
(14.6–23.7) |
Naples-Marco Island, Florida |
411 |
21.1 |
2.4 |
(16.3–25.8) |
Nashville-Davidson-Murfreesboro, Tennessee |
514 |
15.8 |
2.2 |
(11.4–20.1) |
Nassau-Suffolk, New York* |
654 |
15.9 |
1.6 |
(12.7–19.0) |
Newark-Union, New Jersey-Pennsylvania* |
1,828 |
17.6 |
1.2 |
(15.2–19.9) |
New Haven-Milford, Connecticut |
1,038 |
19.0 |
1.7 |
(15.6–22.3) |
New Orleans-Metairie-Kenner, Louisiana |
970 |
17.9 |
1.5 |
(14.9–20.8) |
New York-White Plains-Wayne, New York-New Jersey* |
3,387 |
15.5 |
0.8 |
(13.9–17.0) |
Norfolk, Nebraska |
466 |
17.3 |
2.7 |
(12.0–22.5) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
416 881 |
8.3 22.5 |
1.9 1.6 |
(4.5–12.0) (19.3–25.6) |
Ocala, Florida |
437 |
24.4 |
2.3 |
(19.8–28.9) |
Ocean City, New Jersey |
361 |
18.9 |
2.4 |
(14.1–23.6) |
TABLE 26. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample Size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
908 |
9.5 |
1.1 |
(7.3–11.6) |
Oklahoma City, Oklahoma |
1,529 |
13.7 |
1.0 |
(11.7–15.6) |
Olympia, Washington |
489 |
27.7 |
2.3 |
(23.1–32.2) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,391 |
14.1 |
1.1 |
(11.9–16.2) |
Orlando-Kissimmee, Florida |
1,642 |
21.8 |
1.4 |
(19.0–24.5) |
Palm Bay-Melbourne-Titusville, Florida |
358 |
26.3 |
2.7 |
(21.0–31.5) |
Panama City-Lynn Haven, Florida Peabody, Massachusetts |
347 1,175 |
15.3 18.8 |
2.3 1.7 |
(10.7–19.8) (15.1–22.1) |
Pensacola-Ferry Pass-Brent, Florida |
650 |
14.7 |
1.7 |
(11.3–18.0) |
Philadelphia, Pennsylvania* |
1,468 |
13.9 |
1.2 |
(11.5–16.2) |
Phoenix-Mesa-Scottsdale, Arizona |
1,120 |
17.8 |
1.3 |
(15.2–20.3) |
Pittsburgh, Pennsylvania |
1,633 |
13.3 |
1.0 |
(11.3–15.2) |
Portland-South Portland-Biddeford, Maine |
1,721 |
16.5 |
1.0 |
(14.5–18.4) |
Portland-Vancouver-Beaverton, Oregon-Washington |
2,201 |
22.0 |
1.1 |
(19.8–24.1) |
Port St. Lucie-Fort Pierce, Florida |
743 |
20.7 |
1.7 |
(17.3–24.0) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
5,859 |
16.4 |
0.6 |
(15.2–17.5) |
Provo-Orem, Utah |
556 |
6.7 |
1.2 |
(4.3–9.0) |
Raleigh-Cary, North Carolina |
557 |
16.9 |
1.9 |
(13.1–20.6) |
Rapid City, South Dakota |
552 |
19.6 |
1.9 |
(15.8–23.3) |
Reno-Sparks, Nevada |
815 |
14.0 |
1.4 |
(11.2–16.7) |
Richmond, Virginia |
490 |
16.3 |
2.1 |
(12.1–20.4) |
Riverside-San Bernardino-Ontario, California |
1,004 |
31.6 |
1.7 |
(28.2–34.9) |
Rochester, New York |
395 |
19.9 |
2.2 |
(15.5–24.2) |
Rockingham County-Strafford County, New Hampshire* |
1,011 |
16.4 |
1.3 |
(13.8–18.9) |
Rutland, Vermont |
449 |
10.6 |
1.5 |
(7.6–13.5) |
Sacramento-Arden-Arcade-Roseville, California |
790 |
32.2 |
2.0 |
(28.2–36.1) |
St. Louis, Missouri-Illinois |
1,084 |
10.8 |
1.4 |
(8.0–13.5) |
Salt Lake City, Utah |
2,289 |
8.9 |
0.7 |
(7.5–10.2) |
San Antonio, Texas |
708 |
13.9 |
1.8 |
(10.3–17.4) |
San Diego-Carlsbad-San Marcos, California |
968 |
33.5 |
1.8 |
(29.9–37.0) |
San Francisco-Oakland-Fremont, California |
1,352 |
34.5 |
1.7 |
(31.1–37.8) |
San Jose-Sunnyvale-Santa Clara, California |
483 |
33.8 |
3.0 |
(27.9–39.6) |
Santa Ana-Anaheim-Irvine, California* |
816 |
24.4 |
1.8 |
(20.8–27.9) |
Santa Fe, New Mexico |
442 |
12.3 |
1.7 |
(8.9–15.6) |
Scottsbluff, Nebraska |
579 |
13.3 |
1.7 |
(9.9–16.6) |
Scranton-Wilkes-Barre, Pennsylvania |
389 |
15.2 |
2.0 |
(11.2–19.1) |
Seaford, Delaware |
917 |
23.8 |
1.6 |
(20.6–26.9) |
Seattle-Bellevue-Everett, Washington* |
2,965 |
20.9 |
0.9 |
(19.1–22.6) |
Sebring, Florida |
409 |
22.1 |
3.3 |
(15.6–28.5) |
Shreveport-Bossier City, Louisiana |
435 |
15.6 |
1.9 |
(11.8–19.3) |
Sioux City, Iowa-Nebraska-South Dakota |
745 |
11.2 |
2.1 |
(7.0–15.3) |
Sioux Falls, South Dakota |
531 |
11.1 |
1.5 |
(8.1–14.0) |
Spokane, Washington |
804 |
22.0 |
1.6 |
(18.8–25.1) |
Springfield, Massachusetts |
1,223 |
17.8 |
1.6 |
(14.6–20.9) |
Tacoma, Washington* |
1,092 |
20.2 |
1.6 |
(17.0–23.3) |
Tallahassee, Florida |
1,295 |
51.3 |
2.4 |
(46.5–56.0) |
Tampa-St. Petersburg-Clearwater, Florida |
1,438 |
25.8 |
1.6 |
(22.6–28.9) |
Toledo, Ohio |
553 |
12.9 |
1.7 |
(9.5–16.2) |
Topeka, Kansas |
556 |
17.7 |
1.8 |
(14.1–21.2) |
Trenton-Ewing, New Jersey |
289 |
18.0 |
2.8 |
(12.5–23.4) |
Tucson, Arizona |
512 |
18.0 |
1.9 |
(14.2–21.7) |
Tulsa, Oklahoma |
1,369 |
19.8 |
1.3 |
(17.2–22.3) |
Tuscaloosa, Alabama |
306 |
18.4 |
2.5 |
(13.5–23.3) |
Twin Falls, Idaho |
380 |
15.3 |
2.2 |
(10.9–19.6) |
Tyler, Texas |
441 |
20.3 |
3.0 |
(14.4–26.1) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
632 |
13.4 |
1.6 |
(10.2–16.5) |
Warren-Troy-Farmington Hills, Michigan* |
1,233 |
19.5 |
1.4 |
(16.7–22.2) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia* |
3,685 |
22.9 |
1.7 |
(19.5–26.2) |
Wauchula, Florida |
345 |
18.1 |
2.3 |
(13.5–22.6) |
West Palm Beach-Boca Raton-Boynton Beach, Florida* |
405 |
26.1 |
2.6 |
(21.0–31.1) |
Wichita, Kansas |
1,215 |
20.1 |
1.3 |
(17.5–22.6) |
Wichita Falls, Texas |
579 |
13.1 |
1.7 |
(9.7–16.4) |
Wilmington, Delaware-Maryland-New Jersey* |
1,345 |
13.3 |
1.1 |
(11.1–15.4) |
TABLE 26. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample Size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
1,189 |
23.6 |
1.7 |
(20.2–26.9) |
Yakima, Washington |
489 |
17.2 |
1.8 |
(13.6–20.7) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
743 |
21.1 |
2.6 |
(16.0–26.1) |
Median |
17.6 |
|||
Range |
6.7-51.3 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Metropolitan division. |
TABLE 27. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
384 |
15.7 |
2.1 |
(11.5–19.8) |
Nassau County, Florida |
346 |
13.6 |
2.0 |
(9.6–17.5) |
Orange County, Florida |
543 |
19.9 |
2.1 |
(15.7–24.0) |
Osceola County, Florida |
353 |
18.1 |
2.9 |
(12.4–23.7) |
Palm Beach County, Florida |
405 |
26.1 |
2.6 |
(21.0–31.1) |
Pasco County, Florida |
379 |
30.7 |
2.7 |
(25.4–35.9) |
Pinellas County, Florida |
370 |
25.0 |
2.6 |
(19.9–30.0) |
Polk County, Florida |
355 |
16.6 |
2.2 |
(12.2–20.9) |
St. Johns County, Florida |
344 |
19.8 |
2.5 |
(14.9–24.7) |
St. Lucie County, Florida |
342 |
20.7 |
2.5 |
(15.8–25.6) |
Santa Rosa County, Florida |
306 |
13.2 |
2.1 |
(9.0–17.3) |
Sarasota County, Florida |
489 |
22.7 |
2.2 |
(18.3–27.0) |
Seminole County, Florida |
302 |
21.1 |
2.7 |
(15.8–26.3) |
Volusia County, Florida |
643 |
25.4 |
2.2 |
(21.0–29.7) |
Wakulla County, Florida |
309 |
40.7 |
4.1 |
(32.6–48.7) |
Cobb County, Georgia |
155 |
11.6 |
2.6 |
(6.5–16.6) |
DeKalb County, Georgia |
196 |
33.5 |
4.3 |
(25.0–41.9) |
Fulton County, Georgia |
190 |
26.5 |
3.9 |
(18.8–34.1) |
Gwinnett County, Georgia |
131 |
17.6 |
3.6 |
(10.5–24.6) |
Hawaii County, Hawaii |
992 |
18.1 |
1.4 |
(15.3–20.8) |
Honolulu County, Hawaii |
1,896 |
26.4 |
1.2 |
(24.0–28.7) |
Kauai County, Hawaii |
457 |
16.5 |
2.1 |
(12.3–20.6) |
Maui County, Hawaii |
979 |
29.7 |
1.9 |
(25.9–33.4) |
Ada County, Idaho |
534 |
13.8 |
1.7 |
(10.4–17.1) |
Bonneville County, Idaho |
300 |
9.8 |
1.8 |
(6.2–13.3) |
Canyon County, Idaho |
370 |
14.9 |
2.0 |
(10.9–18.8) |
Kootenai County, Idaho |
408 |
21.0 |
2.2 |
(16.6–25.3) |
Nez Perce County, Idaho |
258 |
17.0 |
2.5 |
(12.1–21.9) |
Twin Falls County, Idaho |
301 |
16.8 |
2.6 |
(11.7–21.8) |
Cook County, Illinois |
1,793 |
13.4 |
1.0 |
(11.4–15.3) |
DuPage County, Illinois |
152 |
7.5 |
2.2 |
(3.1–11.8) |
Allen County, Indiana |
374 |
14.4 |
2.0 |
(10.4–18.3) |
Lake County, Indiana |
625 |
10.2 |
1.9 |
(6.4–13.9) |
Marion County, Indiana |
935 |
15.8 |
1.7 |
(12.4–19.1) |
Linn County, Iowa |
300 |
13.9 |
2.2 |
(9.5–18.2) |
Polk County, Iowa |
470 |
17.8 |
1.8 |
(14.2–21.3) |
Johnson County, Kansas |
856 |
19.3 |
1.4 |
(16.5–22.0) |
Sedgwick County, Kansas |
941 |
19.4 |
1.4 |
(16.6–22.1) |
Shawnee County, Kansas |
424 |
17.8 |
2.1 |
(13.6–21.9) |
Wyandotte County, Kansas |
407 |
15.3 |
2.5 |
(10.4–20.2) |
Jefferson County, Kentucky |
265 |
15.2 |
2.6 |
(10.1–20.2) |
Caddo Parish, Louisiana |
287 |
16.4 |
2.4 |
(11.6–21.1) |
East Baton Rouge Parish, Louisiana |
437 |
18.8 |
2.2 |
(14.4–23.1) |
Jefferson Parish, Louisiana |
393 |
19.9 |
2.3 |
(15.3–24.4) |
Orleans Parish, Louisiana |
242 |
20.7 |
3.6 |
(13.6–27.7) |
St. Tammany Parish, Louisiana |
224 |
10.7 |
2.2 |
(6.3–15.0) |
Androscoggin County, Maine |
311 |
25.5 |
2.7 |
(20.2–30.7) |
Cumberland County, Maine |
908 |
15.5 |
1.3 |
(12.9–18.0) |
Kennebec County, Maine |
432 |
15.6 |
1.9 |
(11.8–19.3) |
Penobscot County, Maine |
444 |
19.5 |
2.0 |
(15.5–23.4) |
Sagadahoc County, Maine |
199 |
16.5 |
2.8 |
(11.0–21.9) |
York County, Maine |
614 |
17.8 |
1.7 |
(14.4–21.1) |
Anne Arundel County, Maryland |
349 |
18.3 |
2.5 |
(13.4–23.2) |
Baltimore County, Maryland |
638 |
20.4 |
1.8 |
(16.8–23.9) |
Cecil County, Maryland |
160 |
19.3 |
3.6 |
(12.2–26.3) |
Charles County, Maryland |
171 |
12.8 |
3.0 |
(6.9–18.6) |
Frederick County, Maryland |
311 |
23.4 |
2.8 |
(17.9–28.8) |
Harford County, Maryland |
154 |
16.9 |
3.2 |
(10.6–23.1) |
Howard County, Maryland |
174 |
22.6 |
3.8 |
(15.1–30.0) |
Montgomery County, Maryland |
598 |
26.3 |
2.1 |
(22.1–30.4) |
Prince George´s County, Maryland |
418 |
25.1 |
2.5 |
(20.2–30.0) |
Queen Anne´s County, Maryland |
187 |
21.3 |
3.4 |
(14.6–27.9) |
Washington County, Maryland |
263 |
13.0 |
2.2 |
(8.6–17.3) |
TABLE 27. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
314 |
23.1 |
2.8 |
(17.6–28.5) |
Bristol County, Massachusetts |
1,678 |
17.3 |
1.4 |
(14.5–20.0) |
Essex County, Massachusetts |
1,175 |
18.9 |
1.7 |
(15.5–22.2) |
Hampden County, Massachusetts |
944 |
17.4 |
2.0 |
(13.4–21.3) |
Hampshire County, Massachusetts |
172 |
17.2 |
3.3 |
(10.7–23.6) |
Middlesex County, Massachusetts |
1,582 |
17.7 |
1.3 |
(15.1–20.2) |
Norfolk County, Massachusetts |
493 |
15.2 |
1.7 |
(11.8–18.5) |
Plymouth County, Massachusetts |
413 |
14.1 |
1.9 |
(10.3–17.8) |
Suffolk County, Massachusetts |
932 |
18.3 |
1.9 |
(14.5–22.0) |
Worcester County, Massachusetts |
1,189 |
23.6 |
1.7 |
(20.2–26.9) |
Kent County, Michigan |
288 |
18.0 |
2.8 |
(12.5–23.4) |
Macomb County, Michigan |
342 |
15.4 |
2.2 |
(11.0–19.7) |
Oakland County, Michigan |
653 |
23.0 |
2.1 |
(18.8–27.1) |
Wayne County, Michigan |
1,299 |
17.4 |
1.4 |
(14.6–20.1) |
Anoka County, Minnesota |
200 |
9.6 |
2.5 |
(4.7–14.5) |
Dakota County, Minnesota |
291 |
8.7 |
1.8 |
(5.1–12.2) |
Hennepin County, Minnesota |
1,144 |
10.8 |
1.3 |
(8.2–13.3) |
Ramsey County, Minnesota |
553 |
15.5 |
2.6 |
(10.4–20.5) |
Washington County, Minnesota |
125 |
10.0 |
3.3 |
(3.5–16.4) |
DeSoto County, Mississippi |
249 |
17.8 |
2.9 |
(12.1–23.4) |
Hinds County, Mississippi |
218 |
19.3 |
3.1 |
(13.2–25.3) |
Jackson County, Missouri |
337 |
16.2 |
2.3 |
(11.6–20.7) |
St. Louis County, Missouri |
378 |
11.4 |
2.9 |
(5.7–17.0) |
St. Louis city, Missouri |
389 |
13.7 |
3.6 |
(6.6–20.7) |
Flathead County, Montana |
466 |
9.5 |
1.4 |
(6.7–12.2) |
Lewis and Clark County, Montana |
379 |
26.1 |
2.5 |
(21.2–31.0) |
Yellowstone County, Montana |
342 |
14.9 |
2.3 |
(10.3–19.4) |
Adams County, Nebraska |
329 |
24.7 |
2.6 |
(19.6–29.7) |
Dakota County, Nebraska |
448 |
10.2 |
1.5 |
(7.2–13.1) |
Douglas County, Nebraska |
584 |
13.4 |
1.5 |
(10.4–16.3) |
Hall County, Nebraska |
404 |
19.2 |
2.2 |
(14.8–23.5) |
Lancaster County, Nebraska |
549 |
14.6 |
1.5 |
(11.6–17.5) |
Lincoln County, Nebraska |
395 |
8.4 |
1.9 |
(4.6–12.1) |
Madison County, Nebraska |
326 |
18.3 |
3.3 |
(11.8–24.7) |
Sarpy County, Nebraska |
325 |
16.7 |
2.6 |
(11.6–21.7) |
Scotts Bluff County, Nebraska |
558 |
12.4 |
1.6 |
(9.2–15.5) |
Seward County, Nebraska |
203 |
8.3 |
1.9 |
(4.5–12.0) |
Clark County, Nevada |
737 |
17.8 |
1.6 |
(14.6–20.9) |
Washoe County, Nevada |
801 |
13.7 |
1.4 |
(10.9–16.4) |
Grafton County, New Hampshire |
333 |
25.6 |
2.7 |
(20.3–30.8) |
Hillsborough County, New Hampshire |
867 |
14.2 |
1.3 |
(11.6–16.7) |
Merrimack County, New Hampshire |
424 |
20.4 |
2.1 |
(16.2–24.5) |
Rockingham County, New Hampshire |
641 |
15.8 |
1.6 |
(12.6–18.9) |
Strafford County, New Hampshire |
370 |
17.7 |
2.2 |
(13.3–22.0) |
Atlantic County, New Jersey |
561 |
17.6 |
1.9 |
(13.8–21.3) |
Bergen County, New Jersey |
351 |
17.3 |
2.8 |
(11.8–22.7) |
Burlington County, New Jersey |
340 |
17.3 |
2.4 |
(12.5–22.0) |
Camden County, New Jersey |
357 |
13.7 |
2.1 |
(9.5–17.8) |
Cape May County, New Jersey |
361 |
18.9 |
2.4 |
(14.1–23.6) |
Essex County, New Jersey |
527 |
18.6 |
2.2 |
(14.2–22.9) |
Gloucester County, New Jersey |
303 |
10.6 |
2.0 |
(6.6–14.5) |
Hudson County, New Jersey |
513 |
11.1 |
1.7 |
(7.7–14.4) |
Hunterdon County, New Jersey |
299 |
21.1 |
3.0 |
(15.2–26.9) |
Mercer County, New Jersey |
289 |
18.0 |
2.8 |
(12.5–23.4) |
Middlesex County, New Jersey |
332 |
17.4 |
2.6 |
(12.3–22.4) |
Monmouth County, New Jersey |
332 |
17.7 |
2.4 |
(12.9–22.4) |
Morris County, New Jersey |
392 |
15.4 |
2.1 |
(11.2–19.5) |
Ocean County, New Jersey |
342 |
20.7 |
2.6 |
(15.6–25.7) |
Passaic County, New Jersey |
268 |
16.0 |
2.7 |
(10.7–21.2) |
Somerset County, New Jersey |
282 |
26.2 |
3.1 |
(20.1–32.2) |
Sussex County, New Jersey |
297 |
13.8 |
2.2 |
(9.4–18.1) |
Union County, New Jersey |
274 |
22.5 |
3.1 |
(16.4–28.5) |
Warren County, New Jersey |
294 |
10.7 |
2.0 |
(6.7–14.6) |
TABLE 27. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
814 |
18.2 |
1.6 |
(15.0–21.3) |
Dona Ana County, New Mexico |
334 |
12.9 |
2.2 |
(8.5–17.2) |
Sandoval County, New Mexico |
335 |
15.9 |
2.5 |
(11.0–20.8) |
San Juan County, New Mexico |
436 |
10.9 |
1.8 |
(7.3–14.4) |
Santa Fe County, New Mexico |
442 |
12.3 |
1.7 |
(8.9–15.6) |
Valencia County, New Mexico |
234 |
27.3 |
3.8 |
(19.8–34.7) |
Bronx County, New York |
227 |
14.6 |
2.6 |
(9.5–19.6) |
Erie County, New York |
330 |
14.6 |
2.3 |
(10.0–19.1) |
Kings County, New York |
468 |
13.7 |
1.9 |
(9.9–17.4) |
Monroe County, New York |
264 |
19.0 |
2.7 |
(13.7–24.2) |
Nassau County, New York |
299 |
16.3 |
2.4 |
(11.5–21.0) |
New York County, New York |
656 |
13.1 |
1.5 |
(10.1–16.0) |
Queens County, New York |
446 |
15.5 |
2.0 |
(11.5–19.4) |
Suffolk County, New York |
355 |
15.4 |
2.2 |
(11.0–19.7) |
Westchester County, New York |
220 |
21.3 |
3.2 |
(15.0–27.5) |
Buncombe County, North Carolina |
182 |
23.2 |
3.5 |
(16.3–30.0) |
Cabarrus County, North Carolina |
183 |
19.5 |
3.4 |
(12.8–26.1) |
Catawba County, North Carolina |
203 |
24.9 |
3.3 |
(18.4–31.3) |
Durham County, North Carolina |
356 |
26.3 |
2.6 |
(21.2–31.3) |
Gaston County, North Carolina |
167 |
23.1 |
3.7 |
(15.8–30.3) |
Guilford County, North Carolina |
455 |
30.0 |
2.4 |
(25.2–34.7) |
Johnston County, North Carolina |
157 |
18.1 |
3.6 |
(11.0–25.1) |
Mecklenburg County, North Carolina |
344 |
23.3 |
2.6 |
(18.2–28.3) |
Orange County, North Carolina |
170 |
25.4 |
3.7 |
(18.1–32.6) |
Randolph County, North Carolina |
263 |
22.4 |
3.1 |
(16.3–28.4) |
Union County, North Carolina |
209 |
20.2 |
3.0 |
(14.3–26.0) |
Wake County, North Carolina |
374 |
16.5 |
2.2 |
(12.1–20.8) |
Burleigh County, North Dakota |
357 |
11.6 |
1.8 |
(8.0–15.1) |
Cass County, North Dakota |
483 |
23.0 |
2.1 |
(18.8–27.1) |
Ward County, North Dakota |
282 |
11.8 |
2.1 |
(7.6–15.9) |
Cuyahoga County, Ohio |
455 |
19.4 |
2.1 |
(15.2–23.5) |
Franklin County, Ohio |
391 |
17.1 |
2.1 |
(12.9–21.2) |
Hamilton County, Ohio |
454 |
11.0 |
1.6 |
(7.8–14.1) |
Lucas County, Ohio |
465 |
13.7 |
1.8 |
(10.1–17.2) |
Mahoning County, Ohio |
518 |
18.0 |
2.2 |
(13.6–22.3) |
Montgomery County, Ohio |
478 |
22.7 |
2.3 |
(18.1–27.2) |
Stark County, Ohio |
483 |
17.0 |
1.9 |
(13.2–20.7) |
Summit County, Ohio |
465 |
17.1 |
1.9 |
(13.3–20.8) |
Cleveland County, Oklahoma |
252 |
13.7 |
2.5 |
(8.8–18.6) |
Oklahoma County, Oklahoma |
895 |
14.4 |
1.3 |
(11.8–16.9) |
Tulsa County, Oklahoma |
936 |
19.5 |
1.4 |
(16.7–22.2) |
Clackamas County, Oregon |
307 |
20.7 |
2.7 |
(15.4–25.9) |
Lane County, Oregon |
350 |
10.9 |
1.7 |
(7.5–14.2) |
Multnomah County, Oregon |
500 |
20.2 |
2.0 |
(16.2–24.1) |
Washington County, Oregon |
348 |
20.2 |
2.5 |
(15.3–25.1) |
Allegheny County, Pennsylvania |
928 |
12.4 |
1.2 |
(10.0–14.7) |
Lehigh County, Pennsylvania |
171 |
23.7 |
3.9 |
(16.0–31.3) |
Luzerne County, Pennsylvania |
222 |
16.2 |
2.8 |
(10.7–21.6) |
Montgomery County, Pennsylvania |
212 |
17.8 |
2.9 |
(12.1–23.4) |
Northampton County, Pennsylvania |
165 |
13.3 |
3.2 |
(7.0–19.5) |
Philadelphia County, Pennsylvania |
877 |
13.3 |
1.5 |
(10.3–16.2) |
Westmoreland County, Pennsylvania |
221 |
16.9 |
3.1 |
(10.8–22.9) |
Bristol County, Rhode Island |
188 |
18.2 |
3.1 |
(12.1–24.2) |
Kent County, Rhode Island |
596 |
14.8 |
1.7 |
(11.4–18.1) |
Newport County, Rhode Island |
322 |
15.6 |
2.3 |
(11.0–20.1) |
Providence County, Rhode Island |
2,584 |
16.6 |
0.9 |
(14.8–18.3) |
Washington County, Rhode Island |
491 |
15.2 |
1.8 |
(11.6–18.7) |
Aiken County, South Carolina |
325 |
12.9 |
1.8 |
(9.3–16.4) |
Beaufort County, South Carolina |
498 |
12.4 |
1.5 |
(9.4–15.3) |
Berkeley County, South Carolina |
231 |
12.3 |
3.2 |
(6.0–18.5) |
Charleston County, South Carolina |
455 |
21.7 |
3.5 |
(14.8–28.5) |
Greenville County, South Carolina |
351 |
13.5 |
2.5 |
(8.6–18.4) |
Horry County, South Carolina |
385 |
19.2 |
2.3 |
(14.6–23.7) |
TABLE 27. (Continued) Estimated prevalence of adults aged ≥50 years who had a blood stool test during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
407 |
11.7 |
2.2 |
(7.3–16.0) |
Minnehaha County, South Dakota |
386 |
11.1 |
1.7 |
(7.7–14.4) |
Pennington County, South Dakota |
436 |
19.5 |
2.1 |
(15.3–23.6) |
Davidson County, Tennessee |
262 |
12.6 |
2.5 |
(7.7–17.5) |
Hamilton County, Tennessee |
246 |
24.0 |
3.6 |
(16.9–31.0) |
Knox County, Tennessee |
252 |
26.1 |
3.3 |
(19.6–32.5) |
Shelby County, Tennessee |
243 |
17.8 |
3.2 |
(11.5–24.0) |
Sullivan County, Tennessee |
336 |
20.8 |
2.5 |
(15.9–25.7) |
Bexar County, Texas |
604 |
15.9 |
1.8 |
(12.3–19.4) |
Dallas County, Texas |
257 |
18.0 |
3.0 |
(12.1–23.8) |
El Paso County, Texas |
506 |
15.7 |
2.0 |
(11.7–19.6) |
Fort Bend County, Texas |
523 |
8.1 |
1.2 |
(5.7–10.4) |
Harris County, Texas |
811 |
14.6 |
1.4 |
(11.8–17.3) |
Hidalgo County, Texas |
329 |
10.8 |
1.9 |
(7.0–14.5) |
Lubbock County, Texas |
499 |
11.5 |
1.6 |
(8.3–14.6) |
Midland County, Texas |
368 |
19.4 |
2.5 |
(14.5–24.3) |
Potter County, Texas |
199 |
13.3 |
2.8 |
(7.8–18.7) |
Randall County, Texas |
322 |
12.0 |
2.3 |
(7.4–16.5) |
Smith County, Texas |
441 |
20.3 |
3.0 |
(14.4–26.1) |
Tarrant County, Texas |
378 |
18.0 |
2.6 |
(12.9–23.0) |
Travis County, Texas |
429 |
17.1 |
3.6 |
(10.0–24.1) |
Val Verde County, Texas |
350 |
13.0 |
2.2 |
(8.6–17.3) |
Webb County, Texas |
419 |
7.1 |
1.3 |
(4.5–9.6) |
Wichita County, Texas |
471 |
14.8 |
2.1 |
(10.6–18.9) |
Davis County, Utah |
438 |
8.9 |
1.6 |
(5.7–12.0) |
Salt Lake County, Utah |
1,771 |
9.0 |
0.7 |
(7.6–10.3) |
Summit County, Utah |
258 |
8.3 |
1.8 |
(4.7–11.8) |
Tooele County, Utah |
260 |
8.4 |
1.8 |
(4.8–11.9) |
Utah County, Utah |
524 |
6.8 |
1.2 |
(4.4–9.1) |
Weber County, Utah |
445 |
10.0 |
1.6 |
(6.8–13.1) |
Chittenden County, Vermont |
886 |
9.7 |
1.0 |
(7.7–11.6) |
Franklin County, Vermont |
276 |
22.6 |
2.7 |
(17.3–27.8) |
Orange County, Vermont |
237 |
23.3 |
3.0 |
(17.4–29.1) |
Rutland County, Vermont |
449 |
10.6 |
1.5 |
(7.6–13.5) |
Washington County, Vermont |
449 |
8.5 |
1.5 |
(5.5–11.4) |
Windsor County, Vermont |
461 |
17.9 |
2.0 |
(13.9–21.8) |
Benton County, Washington |
250 |
20.5 |
2.8 |
(15.0–25.9) |
Clark County, Washington |
728 |
30.7 |
2.0 |
(26.7–34.6) |
Franklin County, Washington |
146 |
18.1 |
4.0 |
(10.2–25.9) |
King County, Washington |
1,949 |
21.8 |
1.0 |
(19.8–23.7) |
Kitsap County, Washington |
615 |
26.4 |
1.9 |
(22.6–30.1) |
Pierce County, Washington |
1,092 |
19.4 |
1.4 |
(16.6–22.1) |
Snohomish County, Washington |
1,016 |
18.4 |
1.5 |
(15.4–21.3) |
Spokane County, Washington |
804 |
22.0 |
1.6 |
(18.8–25.1) |
Thurston County, Washington |
489 |
27.7 |
2.3 |
(23.1–32.2) |
Yakima County, Washington |
489 |
17.2 |
1.8 |
(13.6–20.7) |
Kanawha County, West Virginia |
361 |
19.3 |
2.4 |
(14.5–24.0) |
Milwaukee County, Wisconsin |
723 |
10.8 |
2.0 |
(6.8–14.7) |
Laramie County, Wyoming |
602 |
14.7 |
1.7 |
(11.3–18.0) |
Natrona County, Wyoming |
512 |
12.6 |
1.5 |
(9.6–15.5) |
Median |
17.8 |
|||
Range |
6.8-57.2 |
|||
Abbreviations: SE = standard error; CI = confidence interval. |
TABLE 29. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
372 |
83.5 |
3.6 |
(76.4–90.5) |
Grand Island, Nebraska |
331 |
75.2 |
3.5 |
(68.3–82.0) |
Grand Rapids-Wyoming, Michigan |
248 |
83.6 |
3.4 |
(76.9–90.2) |
Greensboro-High Point, North Carolina |
439 |
77.1 |
3.2 |
(70.8–83.3) |
Greenville, South Carolina |
243 |
81.3 |
4.5 |
(72.4–90.1) |
Hagerstown-Martinsburg, Maryland-West Virginia |
270 |
85.9 |
2.7 |
(80.6–91.1) |
Hartford-West Hartford-East Hartford, Connecticut |
907 |
84.9 |
1.9 |
(81.1–88.6) |
Hastings, Nebraska |
254 |
75.5 |
4.6 |
(66.4–84.5) |
Helena, Montana |
253 |
84.7 |
2.3 |
(80.1–89.2) |
Hickory-Morganton-Lenoir, North Carolina |
199 |
90.8 |
2.4 |
(86.0–95.5) |
Hilo, Hawaii |
667 |
81.1 |
2.0 |
(77.1–85.0) |
Hilton Head Island-Beaufort, South Carolina |
298 |
87.1 |
2.6 |
(82.0–92.1) |
Homosassa Springs, Florida |
204 |
76.7 |
3.5 |
(69.8–83.5) |
Honolulu, Hawaii |
1,325 |
80.2 |
1.5 |
(77.2–83.1) |
Houston-Sugar Land-Baytown, Texas |
1,102 |
77.1 |
2.3 |
(72.5–81.6) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
253 |
71.5 |
4.2 |
(63.2–79.7) |
Idaho Falls, Idaho |
231 |
76.8 |
3.8 |
(69.3–84.2) |
Indianapolis-Carmel, Indiana |
910 |
83.1 |
2.0 |
(79.1–87.0) |
Jackson, Mississippi |
274 |
87.0 |
2.5 |
(82.1–91.9) |
Jacksonville, Florida |
964 |
83.3 |
2.6 |
(78.2–88.3) |
Kahului-Wailuku, Hawaii |
709 |
78.9 |
2.3 |
(74.3–83.4) |
Kalispell, Montana |
236 |
81.8 |
2.8 |
(76.3–87.2) |
Kansas City, Missouri-Kansas |
1,360 |
80.8 |
2.0 |
(76.8–84.7) |
Kapaa, Hawaii |
296 |
78.2 |
3.8 |
(70.7–85.6) |
Kennewick-Richland-Pasco, Washington |
248 |
84.0 |
3.3 |
(77.5–90.4) |
Key West-Marathon, Florida |
199 |
83.4 |
3.6 |
(76.3–90.4) |
Kingsport-Bristol, Tennessee-Virginia |
239 |
79.8 |
4.2 |
(71.5–88.0) |
Knoxville, Tennessee |
222 |
81.2 |
3.8 |
(73.7–88.6) |
Lake City, Florida |
218 |
81.0 |
3.5 |
(74.1–87.8) |
Lakeland-Winter Haven, Florida |
187 |
77.5 |
4.2 |
(69.2–85.7) |
Laredo, Texas |
468 |
71.7 |
2.8 |
(66.2–77.1) |
Las Cruces, New Mexico |
194 |
80.4 |
4.6 |
(71.3–89.4) |
Las Vegas-Paradise, Nevada |
472 |
79.0 |
2.4 |
(74.2–83.7) |
Lebanon, New Hampshire-Vermont |
672 |
83.0 |
2.1 |
(78.8–87.1) |
Lewiston, Idaho-Washington |
167 |
86.4 |
2.9 |
(80.7–92.0) |
Lewiston-Auburn, Maine |
198 |
86.8 |
3.6 |
(79.7–93.8) |
Lincoln, Nebraska |
423 |
80.1 |
3.7 |
(72.8–87.3) |
Little Rock-North Little Rock, Arkansas |
273 |
77.5 |
4.4 |
(68.8–86.1) |
Los Angeles-Long Beach-Glendale, California* |
1,133 |
82.4 |
1.6 |
(79.2–85.5) |
Louisville, Kentucky-Indiana |
378 |
83.2 |
2.5 |
(78.3–88.1) |
Lubbock, Texas |
265 |
71.0 |
4.9 |
(61.3–80.6) |
Manchester-Nashua, New Hampshire |
650 |
80.5 |
2.4 |
(75.7–85.2) |
McAllen-Edinburg-Mission, Texas |
286 |
70.9 |
3.4 |
(64.2–77.5) |
Memphis, Tennessee-Mississippi-Arkansas |
466 |
81.5 |
3.0 |
(75.6–87.3) |
Miami-Fort Lauderdale-Miami Beach, Florida |
434 |
78.5 |
3.1 |
(72.4–84.5) |
Midland, Texas |
195 |
77.6 |
4.4 |
(68.9–86.2) |
Milwaukee-Waukesha-West Allis, Wisconsin |
656 |
84.8 |
2.7 |
(79.5–90.0) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,240 |
87.7 |
1.6 |
(84.5–90.8) |
Minot, North Dakota |
234 |
85.9 |
2.9 |
(80.2–91.5) |
Mobile, Alabama |
238 |
83.7 |
3.1 |
(77.6–89.7) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
194 |
83.2 |
4.0 |
(75.3–91.0) |
Naples-Marco Island, Florida |
184 |
NA |
NA |
NA |
Nashville-Davidson-Murfreesboro, Tennessee |
368 |
86.6 |
2.3 |
(82.0–91.1) |
Nassau-Suffolk, New York* |
514 |
82.6 |
2.1 |
(78.4–86.7) |
Newark-Union, New Jersey-Pennsylvania* |
1,573 |
82.8 |
1.6 |
(79.6–85.9) |
New Haven-Milford, Connecticut |
768 |
85.9 |
2.3 |
(81.3–90.4) |
New Orleans-Metairie-Kenner, Louisiana |
592 |
83.9 |
2.2 |
(79.5–88.2) |
New York-White Plains-Wayne, New York-New Jersey* |
3,008 |
81.3 |
1.1 |
(79.1–83.4) |
Norfolk, Nebraska |
256 |
80.2 |
3.3 |
(73.7–86.6) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
210 408 |
72.3 82.1 |
4.5 2.4 |
(63.4–81.1) (77.3–86.8) |
Ocala, Florida |
213 |
71.1 |
4.2 |
(62.8–79.3) |
Ocean City, New Jersey |
222 |
82.5 |
3.1 |
(76.4–88.5) |
TABLE 29. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
634 |
76.4 |
2.5 |
(71.5–81.3) |
Oklahoma City, Oklahoma |
953 |
80.4 |
1.8 |
(76.8–83.9) |
Olympia, Washington |
364 |
82.2 |
2.6 |
(77.1–87.2) |
Omaha-Council Bluffs, Nebraska-Iowa |
982 |
85.0 |
1.7 |
(81.6–88.3) |
Orlando-Kissimmee, Florida |
1,101 |
80.4 |
1.8 |
(76.8–83.9) |
Palm Bay-Melbourne-Titusville, Florida |
199 |
81.6 |
4.0 |
(73.7–89.4) |
Panama City-Lynn Haven, Florida Peabody, Massachusetts |
204 976 |
76.3 91.2 |
4.1 1.8 |
(68.2–84.3) (87.6–94.7) |
Pensacola-Ferry Pass-Brent, Florida |
360 |
81.5 |
3.1 |
(75.4–87.5) |
Philadelphia, Pennsylvania* |
1,149 |
82.3 |
1.7 |
(78.9–85.6) |
Phoenix-Mesa-Scottsdale, Arizona |
655 |
83.3 |
2.2 |
(78.9–87.6) |
Pittsburgh, Pennsylvania |
1,018 |
82.0 |
1.6 |
(78.8–85.1) |
Portland-South Portland-Biddeford, Maine |
1,177 |
86.8 |
1.3 |
(84.2–89.3) |
Portland-Vancouver-Beaverton, Oregon-Washington |
1,371 |
76.7 |
2.1 |
(72.5–80.8) |
Port St. Lucie-Fort Pierce, Florida |
388 |
73.2 |
3.1 |
(67.1–79.2) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
4,321 |
85.6 |
1.0 |
(83.6–87.5) |
Provo-Orem, Utah |
455 |
63.3 |
4.0 |
(55.4–71.1) |
Raleigh-Cary, North Carolina |
449 |
91.0 |
1.7 |
(87.6–94.3) |
Rapid City, South Dakota |
323 |
84.7 |
2.3 |
(80.1–89.2) |
Reno-Sparks, Nevada |
484 |
84.8 |
2.1 |
(80.6–88.9) |
Richmond, Virginia |
319 |
87.2 |
2.7 |
(81.9–92.4) |
Riverside-San Bernardino-Ontario, California |
761 |
82.8 |
1.9 |
(79.0–86.5) |
Rochester, New York |
269 |
84.1 |
2.8 |
(78.6–89.5) |
Rockingham County-Strafford County, New Hampshire* |
744 |
84.6 |
2.2 |
(80.2–88.9) |
Rutland, Vermont |
311 |
76.4 |
3.6 |
(69.3–83.4) |
Sacramento-Arden-Arcade-Roseville, California |
541 |
82.5 |
2.5 |
(77.6–87.4) |
St. Louis, Missouri-Illinois |
754 |
84.2 |
2.6 |
(79.1–89.2) |
Salt Lake City, Utah |
1,729 |
78.8 |
1.5 |
(75.8–81.7) |
San Antonio, Texas |
446 |
72.6 |
3.6 |
(65.5–79.6) |
San Diego-Carlsbad-San Marcos, California |
687 |
85.9 |
2.1 |
(81.7–90.0) |
San Francisco-Oakland-Fremont, California |
1,032 |
80.3 |
1.8 |
(76.7–83.8) |
San Jose-Sunnyvale-Santa Clara, California |
373 |
83.5 |
2.6 |
(78.4–88.5) |
Santa Ana-Anaheim-Irvine, California* |
632 |
78.1 |
2.7 |
(72.8–83.3) |
Santa Fe, New Mexico |
274 |
83.2 |
3.2 |
(76.9–89.4) |
Scottsbluff, Nebraska |
294 |
73.0 |
3.7 |
(65.7–80.2) |
Scranton-Wilkes-Barre, Pennsylvania |
222 |
72.0 |
4.6 |
(62.9–81.0) |
Seaford, Delaware |
510 |
86.4 |
2.4 |
(81.6–91.1) |
Seattle-Bellevue-Everett, Washington* |
1,989 |
82.6 |
1.3 |
(80.0–85.1) |
Sebring, Florida |
165 |
78.4 |
4.5 |
(69.5–87.2) |
Shreveport-Bossier City, Louisiana |
258 |
82.1 |
2.9 |
(76.4–87.7) |
Sioux City, Iowa-Nebraska-South Dakota |
496 |
NA |
NA |
NA |
Sioux Falls, South Dakota |
333 |
87.6 |
2.2 |
(83.2–91.9) |
Spokane, Washington |
449 |
77.0 |
3.1 |
(70.9–83.0) |
Springfield, Massachusetts |
917 |
78.7 |
4.3 |
(70.2–87.1) |
Tacoma, Washington* |
656 |
86.6 |
1.6 |
(83.4–89.7) |
Tallahassee, Florida |
789 |
87.0 |
2.7 |
(81.7–92.2) |
Tampa-St. Petersburg-Clearwater, Florida |
764 |
79.3 |
2.3 |
(74.7–83.8) |
Toledo, Ohio |
356 |
87.1 |
2.0 |
(83.1–91.0) |
Topeka, Kansas |
315 |
90.9 |
1.6 |
(87.7–94.0) |
Trenton-Ewing, New Jersey |
259 |
89.0 |
2.6 |
(83.9–94.0) |
Tucson, Arizona |
288 |
84.9 |
3.0 |
(79.0–90.7) |
Tulsa, Oklahoma |
816 |
77.2 |
2.0 |
(73.2–81.1) |
Tuscaloosa, Alabama |
220 |
85.3 |
3.4 |
(78.6–91.9) |
Twin Falls, Idaho |
196 |
79.5 |
3.3 |
(73.0–85.9) |
Tyler, Texas |
229 |
73.6 |
4.5 |
(64.7–82.4) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
448 |
86.7 |
2.5 |
(81.8–91.6) |
Warren-Troy-Farmington Hills, Michigan* |
742 |
81.8 |
2.4 |
(77.0–86.5) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia* |
2,846 |
86.4 |
2.5 |
(81.5–91.3) |
Wauchula, Florida |
217 |
NA |
NA |
NA |
West Palm Beach-Boca Raton-Boynton Beach, Florida* |
223 |
74.3 |
4.2 |
(66.0–82.5) |
Wichita, Kansas |
705 |
80.5 |
2.5 |
(75.6–85.4) |
Wichita Falls, Texas |
245 |
74.8 |
4.5 |
(65.9–83.6) |
Wilmington, Delaware-Maryland-New Jersey* |
1,011 |
81.7 |
1.7 |
(78.3–85.0) |
TABLE 29. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
956 |
83.6 |
2.9 |
(77.9–89.2) |
Yakima, Washington |
291 |
80.2 |
2.9 |
(74.5–85.8) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
451 |
81.3 |
3.1 |
(75.2–87.3) |
Median |
82.4 |
|||
Range |
63.3-91.2 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Metropolitan division. † Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 30. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
199 |
83.4 |
3.6 |
(76.3–90.4) |
Nassau County, Florida |
180 |
84.3 |
3.3 |
(77.8–90.7) |
Orange County, Florida |
450 |
80.6 |
2.7 |
(75.3–85.8) |
Osceola County, Florida |
218 |
80.9 |
3.3 |
(74.4–87.3) |
Palm Beach County, Florida |
223 |
74.3 |
4.2 |
(66.0–82.5) |
Pasco County, Florida |
203 |
79.3 |
4.0 |
(71.4–87.1) |
Pinellas County, Florida |
180 |
76.3 |
4.2 |
(68.0–84.5) |
Polk County, Florida |
187 |
77.5 |
4.2 |
(69.2–85.7) |
St. Johns County, Florida |
215 |
87.4 |
2.9 |
(81.7–93.0) |
St. Lucie County, Florida |
182 |
71.2 |
4.3 |
(62.7–79.6) |
Santa Rosa County, Florida |
173 |
79.7 |
4.1 |
(71.6–87.7) |
Sarasota County, Florida |
215 |
82.4 |
3.2 |
(76.1–88.6) |
Seminole County, Florida |
205 |
80.8 |
3.8 |
(73.3–88.2) |
Volusia County, Florida |
312 |
78.3 |
3.1 |
(72.2–84.3) |
Wakulla County, Florida |
201 |
89.1 |
2.6 |
(84.0–94.1) |
Cobb County, Georgia |
105 |
82.4 |
4.8 |
(72.9–91.8) |
DeKalb County, Georgia |
151 |
85.8 |
3.8 |
(78.3–93.2) |
Fulton County, Georgia |
146 |
88.5 |
4.4 |
(79.8–97.1) |
Gwinnett County, Georgia |
99 |
92.6 |
2.9 |
(86.9–98.2) |
Hawaii County, Hawaii |
667 |
81.1 |
2.0 |
(77.1–85.0) |
Honolulu County, Hawaii |
1,325 |
80.2 |
1.5 |
(77.2–83.1) |
Kauai County, Hawaii |
296 |
78.2 |
3.8 |
(70.7–85.6) |
Maui County, Hawaii |
709 |
78.9 |
2.3 |
(74.3–83.4) |
Ada County, Idaho |
321 |
80.7 |
3.0 |
(74.8–86.5) |
Bonneville County, Idaho |
185 |
79.7 |
4.2 |
(71.4–87.9) |
Canyon County, Idaho |
207 |
73.0 |
4.1 |
(64.9–81.0) |
Kootenai County, Idaho |
184 |
82.1 |
3.6 |
(75.0–89.1) |
Nez Perce County, Idaho |
112 |
84.2 |
3.6 |
(77.1–91.2) |
Twin Falls County, Idaho |
160 |
76.7 |
3.9 |
(69.0–84.3) |
Cook County, Illinois |
1,375 |
81.3 |
1.6 |
(78.1–84.4) |
DuPage County, Illinois |
119 |
78.6 |
4.0 |
(70.7–86.4) |
Allen County, Indiana |
249 |
81.2 |
2.7 |
(75.9–86.4) |
Lake County, Indiana |
407 |
79.0 |
3.2 |
(72.7–85.2) |
Marion County, Indiana |
576 |
84.0 |
2.2 |
(79.6–88.3) |
Linn County, Iowa |
206 |
88.0 |
3.1 |
(81.9–94.0) |
Polk County, Iowa |
315 |
82.9 |
2.9 |
(77.2–88.5) |
Johnson County, Kansas |
595 |
87.9 |
2.0 |
(83.9–91.8) |
Sedgwick County, Kansas |
544 |
84.2 |
2.0 |
(80.2–88.1) |
Shawnee County, Kansas |
246 |
90.7 |
1.9 |
(86.9–94.4) |
Wyandotte County, Kansas |
245 |
80.7 |
3.6 |
(73.6–87.7) |
Jefferson County, Kentucky |
177 |
81.7 |
3.6 |
(74.6–88.7) |
Caddo Parish, Louisiana |
170 |
78.6 |
3.9 |
(70.9–86.2) |
East Baton Rouge Parish, Louisiana |
292 |
85.9 |
2.8 |
(80.4–91.3) |
Jefferson Parish, Louisiana |
225 |
83.2 |
3.1 |
(77.1–89.2) |
Orleans Parish, Louisiana |
164 |
84.1 |
3.5 |
(77.2–90.9) |
St. Tammany Parish, Louisiana |
135 |
NA |
NA |
NA |
Androscoggin County, Maine |
198 |
86.8 |
3.6 |
(79.7–93.8) |
Cumberland County, Maine |
645 |
87.5 |
1.5 |
(84.5–90.4) |
Kennebec County, Maine |
299 |
86.5 |
2.7 |
(81.2–91.7) |
Penobscot County, Maine |
312 |
82.9 |
2.6 |
(77.8–87.9) |
Sagadahoc County, Maine |
119 |
88.9 |
3.3 |
(82.4–95.3) |
York County, Maine |
413 |
87.2 |
2.0 |
(83.2–91.1) |
Anne Arundel County, Maryland |
257 |
85.0 |
2.9 |
(79.3–90.6) |
Baltimore County, Maryland |
456 |
89.4 |
1.5 |
(86.4–92.3) |
Cecil County, Maryland |
102 |
91.1 |
2.7 |
(85.8–96.3) |
Charles County, Maryland |
153 |
90.9 |
2.9 |
(85.2–96.5) |
Frederick County, Maryland |
251 |
87.0 |
2.8 |
(81.5–92.4) |
Harford County, Maryland |
125 |
85.7 |
3.5 |
(78.8–92.5) |
Howard County, Maryland |
171 |
89.2 |
2.9 |
(83.5–94.8) |
Montgomery County, Maryland |
517 |
84.7 |
2.2 |
(80.3–89.0) |
Prince George´s County, Maryland |
339 |
89.9 |
2.1 |
(85.7–94.0) |
Queen Anne´s County, Maryland |
121 |
94.7 |
2.0 |
(90.7–98.6) |
Washington County, Maryland |
171 |
86.7 |
2.8 |
(81.2–92.1) |
TABLE 30. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
262 |
86.5 |
2.9 |
(80.8–92.1) |
Bristol County, Massachusetts |
1,267 |
90.5 |
1.2 |
(88.1–92.8) |
Essex County, Massachusetts |
976 |
90.4 |
2.1 |
(86.2–94.5) |
Hampden County, Massachusetts |
710 |
77.3 |
4.4 |
(68.6–85.9) |
Hampshire County, Massachusetts |
134 |
87.9 |
3.7 |
(80.6–95.1) |
Middlesex County, Massachusetts |
1,359 |
91.0 |
1.1 |
(88.8–93.1) |
Norfolk County, Massachusetts |
406 |
90.5 |
2.1 |
(86.3–94.6) |
Plymouth County, Massachusetts |
300 |
90.9 |
1.9 |
(87.1–94.6) |
Suffolk County, Massachusetts |
878 |
86.7 |
2.9 |
(81.0–92.3) |
Worcester County, Massachusetts |
956 |
83.6 |
2.9 |
(77.9–89.2) |
Kent County, Michigan |
189 |
85.3 |
3.7 |
(78.0–92.5) |
Macomb County, Michigan |
201 |
76.2 |
4.9 |
(66.5–85.8) |
Oakland County, Michigan |
389 |
85.8 |
2.9 |
(80.1–91.4) |
Wayne County, Michigan |
797 |
83.6 |
2.1 |
(79.4–87.7) |
Anoka County, Minnesota |
174 |
89.9 |
2.5 |
(85.0–94.8) |
Dakota County, Minnesota |
269 |
91.6 |
2.1 |
(87.4–95.7) |
Hennepin County, Minnesota |
919 |
88.6 |
2.0 |
(84.6–92.5) |
Ramsey County, Minnesota |
448 |
87.0 |
2.5 |
(82.1–91.9) |
Washington County, Minnesota |
117 |
93.9 |
1.8 |
(90.3–97.4) |
DeSoto County, Mississippi |
143 |
82.6 |
4.2 |
(74.3–90.8) |
Hinds County, Mississippi |
141 |
84.2 |
4.0 |
(76.3–92.0) |
Jackson County, Missouri |
210 |
78.1 |
3.7 |
(70.8–85.3) |
St. Louis County, Missouri |
264 |
83.7 |
4.2 |
(75.4–91.9) |
St. Louis city, Missouri |
286 |
81.7 |
2.9 |
(76.0–87.3) |
Flathead County, Montana |
236 |
81.8 |
2.8 |
(76.3–87.2) |
Lewis and Clark County, Montana |
203 |
85.1 |
2.4 |
(80.3–89.8) |
Yellowstone County, Montana |
198 |
80.9 |
3.3 |
(74.4–87.3) |
Adams County, Nebraska |
209 |
NA |
NA |
NA |
Dakota County, Nebraska |
308 |
78.4 |
2.8 |
(72.9–83.8) |
Douglas County, Nebraska |
413 |
84.9 |
2.3 |
(80.3–89.4) |
Hall County, Nebraska |
234 |
72.9 |
4.6 |
(63.8–81.9) |
Lancaster County, Nebraska |
316 |
80.5 |
3.9 |
(72.8–88.1) |
Lincoln County, Nebraska |
195 |
72.0 |
4.7 |
(62.7–81.2) |
Madison County, Nebraska |
187 |
77.4 |
4.3 |
(68.9–85.8) |
Sarpy County, Nebraska |
258 |
91.7 |
2.2 |
(87.3–96.0) |
Scotts Bluff County, Nebraska |
288 |
72.9 |
3.7 |
(65.6–80.1) |
Seward County, Nebraska |
107 |
NA |
NA |
NA |
Clark County, Nevada |
472 |
79.0 |
2.4 |
(74.2–83.7) |
Washoe County, Nevada |
479 |
84.8 |
2.1 |
(80.6–88.9) |
Grafton County, New Hampshire |
219 |
85.8 |
3.2 |
(79.5–92.0) |
Hillsborough County, New Hampshire |
650 |
80.5 |
2.4 |
(75.7–85.2) |
Merrimack County, New Hampshire |
303 |
90.7 |
1.9 |
(86.9–94.4) |
Rockingham County, New Hampshire |
481 |
84.9 |
2.6 |
(79.8–89.9) |
Strafford County, New Hampshire |
263 |
87.1 |
2.7 |
(81.8–92.3) |
Atlantic County, New Jersey |
388 |
80.4 |
2.5 |
(75.5–85.3) |
Bergen County, New Jersey |
293 |
82.4 |
2.8 |
(76.9–87.8) |
Burlington County, New Jersey |
280 |
84.6 |
2.7 |
(79.3–89.8) |
Camden County, New Jersey |
277 |
84.6 |
2.8 |
(79.1–90.0) |
Cape May County, New Jersey |
222 |
82.5 |
3.1 |
(76.4–88.5) |
Essex County, New Jersey |
494 |
81.3 |
2.4 |
(76.5–86.0) |
Gloucester County, New Jersey |
243 |
87.0 |
2.3 |
(82.4–91.5) |
Hudson County, New Jersey |
528 |
81.1 |
2.1 |
(76.9–85.2) |
Hunterdon County, New Jersey |
256 |
93.9 |
1.4 |
(91.1–96.6) |
Mercer County, New Jersey |
259 |
89.0 |
2.6 |
(83.9–94.0) |
Middlesex County, New Jersey |
281 |
84.7 |
2.8 |
(79.2–90.1) |
Monmouth County, New Jersey |
273 |
86.7 |
3.1 |
(80.6–92.7) |
Morris County, New Jersey |
316 |
86.5 |
2.4 |
(81.7–91.2) |
Ocean County, New Jersey |
250 |
86.5 |
2.0 |
(82.5–90.4) |
Passaic County, New Jersey |
242 |
80.0 |
3.1 |
(73.9–86.0) |
Somerset County, New Jersey |
260 |
85.5 |
3.3 |
(79.0–91.9) |
Sussex County, New Jersey |
235 |
85.2 |
3.1 |
(79.1–91.2) |
Union County, New Jersey |
242 |
83.4 |
3.2 |
(77.1–89.6) |
Warren County, New Jersey |
198 |
82.7 |
3.4 |
(76.0–89.3) |
TABLE 30. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
527 |
84.7 |
2.4 |
(79.9–89.4) |
Dona Ana County, New Mexico |
194 |
80.4 |
4.6 |
(71.3–89.4) |
Sandoval County, New Mexico |
235 |
85.3 |
2.8 |
(79.8–90.7) |
San Juan County, New Mexico |
264 |
78.9 |
3.8 |
(71.4–86.3) |
Santa Fe County, New Mexico |
274 |
83.2 |
3.2 |
(76.9–89.4) |
Valencia County, New Mexico |
138 |
NA |
NA |
NA |
Bronx County, New York |
216 |
82.9 |
3.3 |
(76.4–89.3) |
Erie County, New York |
215 |
85.5 |
3.0 |
(79.6–91.3) |
Kings County, New York |
442 |
82.0 |
2.8 |
(76.5–87.4) |
Monroe County, New York |
185 |
85.3 |
3.2 |
(79.0–91.5) |
Nassau County, New York |
242 |
82.6 |
2.8 |
(77.1–88.0) |
New York County, New York |
526 |
82.5 |
2.7 |
(77.2–87.7) |
Queens County, New York |
378 |
79.9 |
2.6 |
(74.8–84.9) |
Suffolk County, New York |
272 |
81.6 |
3.5 |
(74.7–88.4) |
Westchester County, New York |
189 |
88.0 |
2.6 |
(82.9–93.0) |
Buncombe County, North Carolina |
93 |
NA |
NA |
NA |
Cabarrus County, North Carolina |
120 |
82.7 |
4.4 |
(74.0–91.3) |
Catawba County, North Carolina |
106 |
93.4 |
2.4 |
(88.6–98.1) |
Durham County, North Carolina |
280 |
89.4 |
3.5 |
(82.5–96.2) |
Gaston County, North Carolina |
99 |
NA |
NA |
NA |
Guilford County, North Carolina |
280 |
77.9 |
3.6 |
(70.8–84.9) |
Johnston County, North Carolina |
105 |
95.7 |
1.5 |
(92.7–98.6) |
Mecklenburg County, North Carolina |
287 |
88.5 |
2.6 |
(83.4–93.5) |
Orange County, North Carolina |
153 |
93.2 |
2.0 |
(89.2–97.1) |
Randolph County, North Carolina |
140 |
NA |
NA |
NA |
Union County, North Carolina |
127 |
NA |
NA |
NA |
Wake County, North Carolina |
328 |
90.4 |
1.9 |
(86.6–94.1) |
Burleigh County, North Dakota |
219 |
80.8 |
3.9 |
(73.1–88.4) |
Cass County, North Dakota |
313 |
83.1 |
3.8 |
(75.6–90.5) |
Ward County, North Dakota |
199 |
86.8 |
3.2 |
(80.5–93.0) |
Cuyahoga County, Ohio |
332 |
82.7 |
2.8 |
(77.2–88.1) |
Franklin County, Ohio |
286 |
83.3 |
2.7 |
(78.0–88.5) |
Hamilton County, Ohio |
326 |
82.5 |
2.7 |
(77.2–87.7) |
Lucas County, Ohio |
308 |
86.2 |
2.2 |
(81.8–90.5) |
Mahoning County, Ohio |
310 |
83.9 |
2.4 |
(79.1–88.6) |
Montgomery County, Ohio |
271 |
79.8 |
3.4 |
(73.1–86.4) |
Stark County, Ohio |
279 |
85.5 |
2.7 |
(80.2–90.7) |
Summit County, Ohio |
273 |
80.9 |
3.8 |
(73.4–88.3) |
Cleveland County, Oklahoma |
155 |
81.6 |
3.9 |
(73.9–89.2) |
Oklahoma County, Oklahoma |
572 |
80.8 |
2.2 |
(76.4–85.1) |
Tulsa County, Oklahoma |
601 |
75.5 |
2.3 |
(70.9–80.0) |
Clackamas County, Oregon |
170 |
79.8 |
4.0 |
(71.9–87.6) |
Lane County, Oregon |
189 |
NA |
NA |
NA |
Multnomah County, Oregon |
324 |
75.4 |
3.7 |
(68.1–82.6) |
Washington County, Oregon |
235 |
81.2 |
3.9 |
(73.5–88.8) |
Allegheny County, Pennsylvania |
598 |
84.4 |
1.9 |
(80.6–88.1) |
Lehigh County, Pennsylvania |
117 |
82.1 |
3.8 |
(74.6–89.5) |
Luzerne County, Pennsylvania |
123 |
72.2 |
4.8 |
(62.7–81.6) |
Montgomery County, Pennsylvania |
165 |
78.5 |
4.2 |
(70.2–86.7) |
Northampton County, Pennsylvania |
117 |
80.8 |
4.3 |
(72.3–89.2) |
Philadelphia County, Pennsylvania |
700 |
81.4 |
2.0 |
(77.4–85.3) |
Westmoreland County, Pennsylvania |
143 |
83.7 |
3.1 |
(77.6–89.7) |
Bristol County, Rhode Island |
137 |
84.4 |
3.8 |
(76.9–91.8) |
Kent County, Rhode Island |
438 |
83.1 |
2.5 |
(78.2–88.0) |
Newport County, Rhode Island |
221 |
84.7 |
3.4 |
(78.0–91.3) |
Providence County, Rhode Island |
1,920 |
82.2 |
1.7 |
(78.8–85.5) |
Washington County, Rhode Island |
338 |
91.0 |
1.8 |
(87.4–94.5) |
Aiken County, South Carolina |
158 |
80.6 |
4.4 |
(71.9–89.2) |
Beaufort County, South Carolina |
259 |
86.2 |
3.2 |
(79.9–92.4) |
Berkeley County, South Carolina |
137 |
94.5 |
1.9 |
(90.7–98.2) |
Charleston County, South Carolina |
257 |
85.4 |
4.2 |
(77.1–93.6) |
Greenville County, South Carolina |
161 |
NA |
NA |
NA |
Horry County, South Carolina |
194 |
83.2 |
4.0 |
(75.3–91.0) |
TABLE 30. (Continued) Estimated prevalence of women aged ≥18 years who had a Papanicolaou (Pap) test during the preceding 3 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
253 |
NA |
NA |
NA |
Minnehaha County, South Dakota |
242 |
88.7 |
2.0 |
(84.7–92.6) |
Pennington County, South Dakota |
262 |
84.8 |
2.6 |
(79.7–89.8) |
Davidson County, Tennessee |
189 |
82.5 |
3.4 |
(75.8–89.1) |
Hamilton County, Tennessee |
170 |
NA |
NA |
NA |
Knox County, Tennessee |
156 |
83.7 |
4.1 |
(75.6–91.7) |
Shelby County, Tennessee |
179 |
83.6 |
3.3 |
(77.1–90.0) |
Sullivan County, Tennessee |
172 |
81.1 |
4.0 |
(73.2–88.9) |
Bexar County, Texas |
392 |
78.2 |
3.2 |
(71.9–84.4) |
Dallas County, Texas |
159 |
76.7 |
4.7 |
(67.4–85.9) |
El Paso County, Texas |
391 |
77.6 |
2.7 |
(72.3–82.8) |
Fort Bend County, Texas |
365 |
80.2 |
3.1 |
(74.1–86.2) |
Harris County, Texas |
616 |
77.2 |
2.7 |
(71.9–82.4) |
Hidalgo County, Texas |
286 |
70.9 |
3.4 |
(64.2–77.5) |
Lubbock County, Texas |
259 |
70.9 |
4.5 |
(62.0–79.7) |
Midland County, Texas |
195 |
77.6 |
4.4 |
(68.9–86.2) |
Potter County, Texas |
119 |
75.2 |
5.1 |
(65.2–85.1) |
Randall County, Texas |
162 |
80.9 |
4.4 |
(72.2–89.5) |
Smith County, Texas |
229 |
73.6 |
4.5 |
(64.7–82.4) |
Tarrant County, Texas |
226 |
84.5 |
3.4 |
(77.8–91.1) |
Travis County, Texas |
337 |
82.2 |
5.0 |
(72.4–92.0) |
Val Verde County, Texas |
267 |
NA |
NA |
NA |
Webb County, Texas |
468 |
71.7 |
2.8 |
(66.2–77.1) |
Wichita County, Texas |
201 |
72.6 |
5.0 |
(62.8–82.4) |
Davis County, Utah |
335 |
74.7 |
3.5 |
(67.8–81.5) |
Salt Lake County, Utah |
1,310 |
79.0 |
1.7 |
(75.6–82.3) |
Summit County, Utah |
180 |
86.3 |
3.5 |
(79.4–93.1) |
Tooele County, Utah |
239 |
73.8 |
3.4 |
(67.1–80.4) |
Utah County, Utah |
427 |
63.2 |
4.1 |
(55.1–71.2) |
Weber County, Utah |
283 |
82.5 |
2.6 |
(77.4–87.5) |
Chittenden County, Vermont |
694 |
80.3 |
2.6 |
(75.2–85.3) |
Franklin County, Vermont |
200 |
86.2 |
2.5 |
(81.3–91.1) |
Orange County, Vermont |
159 |
83.0 |
3.4 |
(76.3–89.6) |
Rutland County, Vermont |
311 |
76.4 |
3.6 |
(69.3–83.4) |
Washington County, Vermont |
300 |
84.7 |
3.2 |
(78.4–90.9) |
Windsor County, Vermont |
294 |
81.7 |
2.6 |
(76.6–86.7) |
Benton County, Washington |
141 |
83.4 |
4.0 |
(75.5–91.2) |
Clark County, Washington |
444 |
81.8 |
2.7 |
(76.5–87.0) |
Franklin County, Washington |
107 |
88.8 |
3.2 |
(82.5–95.0) |
King County, Washington |
1,307 |
82.2 |
1.6 |
(79.0–85.3) |
Kitsap County, Washington |
361 |
78.7 |
3.1 |
(72.6–84.7) |
Pierce County, Washington |
656 |
85.5 |
1.8 |
(81.9–89.0) |
Snohomish County, Washington |
682 |
84.7 |
1.8 |
(81.1–88.2) |
Spokane County, Washington |
449 |
77.0 |
3.1 |
(70.9–83.0) |
Thurston County, Washington |
364 |
82.2 |
2.6 |
(77.1–87.2) |
Yakima County, Washington |
291 |
80.2 |
2.9 |
(74.5–85.8) |
Kanawha County, West Virginia |
203 |
87.8 |
2.6 |
(82.7–92.8) |
Milwaukee County, Wisconsin |
526 |
80.8 |
3.5 |
(73.9–87.6) |
Laramie County, Wyoming |
316 |
86.7 |
2.2 |
(82.3–91.0) |
Natrona County, Wyoming |
290 |
73.5 |
3.7 |
(66.2–80.7) |
Median |
83.1 |
|||
Range |
63.2-95.7 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 32. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
484 |
76.9 |
2.9 |
(71.2–82.5) |
Grand Island, Nebraska |
440 |
71.7 |
2.7 |
(66.4–76.9) |
Grand Rapids-Wyoming, Michigan |
298 |
76.8 |
3.0 |
(70.9–82.6) |
Greensboro-High Point, North Carolina |
584 |
78.4 |
2.2 |
(74.0–82.7) |
Greenville, South Carolina |
396 |
66.5 |
4.2 |
(58.2–74.7) |
Hagerstown-Martinsburg, Maryland-West Virginia |
339 |
72.6 |
3.2 |
(66.3–78.8) |
Hartford-West Hartford-East Hartford, Connecticut |
1,047 |
83.4 |
1.5 |
(80.4–86.3) |
Hastings, Nebraska |
320 |
66.1 |
3.6 |
(59.0–73.1) |
Helena, Montana |
323 |
72.2 |
2.8 |
(66.7–77.6) |
Hickory-Morganton-Lenoir, North Carolina |
292 |
76.1 |
3.0 |
(70.2–81.9) |
Hilo, Hawaii |
682 |
73.2 |
2.0 |
(69.2–77.1) |
Hilton Head Island-Beaufort, South Carolina |
384 |
78.2 |
2.8 |
(72.7–83.6) |
Homosassa Springs, Florida |
310 |
69.9 |
3.3 |
(63.4–76.3) |
Honolulu, Hawaii |
1,376 |
78.4 |
1.4 |
(75.6–81.1) |
Houston-Sugar Land-Baytown, Texas |
1,301 |
70.5 |
1.8 |
(66.9–74.0) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
352 |
68.1 |
3.3 |
(61.6–74.5) |
Idaho Falls, Idaho |
304 |
60.3 |
3.2 |
(54.0–66.5) |
Indianapolis-Carmel, Indiana |
1,117 |
73.8 |
1.8 |
(70.2–77.3) |
Jackson, Mississippi |
409 |
75.5 |
2.6 |
(70.4–80.5) |
Jacksonville, Florida |
1,280 |
78.0 |
1.9 |
(74.2–81.7) |
Kahului-Wailuku, Hawaii |
734 |
73.8 |
2.2 |
(69.4–78.1) |
Kalispell, Montana |
305 |
74.3 |
2.9 |
(68.6–79.9) |
Kansas City, Missouri-Kansas |
1,688 |
76.5 |
1.5 |
(73.5–79.4) |
Kapaa, Hawaii |
331 |
72.6 |
2.9 |
(66.9–78.2) |
Kennewick-Richland-Pasco, Washington |
295 |
74.0 |
3.2 |
(67.7–80.2) |
Key West-Marathon, Florida |
255 |
75.2 |
3.2 |
(68.9–81.4) |
Kingsport-Bristol, Tennessee-Virginia |
389 |
73.3 |
3.8 |
(65.8–80.7) |
Knoxville, Tennessee |
310 |
79.0 |
3.1 |
(72.9–85.0) |
Lake City, Florida |
279 |
67.1 |
4.2 |
(58.8–75.3) |
Lakeland-Winter Haven, Florida |
271 |
75.7 |
3.3 |
(69.2–82.1) |
Laredo, Texas |
398 |
61.0 |
2.8 |
(55.5–66.4) |
Las Cruces, New Mexico |
255 |
70.9 |
3.5 |
(64.0–77.7) |
Las Vegas-Paradise, Nevada |
563 |
66.8 |
2.4 |
(62.0–71.5) |
Lebanon, New Hampshire-Vermont |
780 |
79.5 |
1.6 |
(76.3–82.6) |
Lewiston, Idaho-Washington |
292 |
71.1 |
3.4 |
(64.4–77.7) |
Lewiston-Auburn, Maine |
258 |
79.3 |
3.2 |
(73.0–85.5) |
Lincoln, Nebraska |
551 |
74.2 |
2.3 |
(69.6–78.7) |
Little Rock-North Little Rock, Arkansas |
433 |
73.9 |
2.8 |
(68.4–79.3) |
Los Angeles-Long Beach-Glendale, California* |
1,083 |
81.3 |
1.4 |
(78.5–84.0) |
Louisville, Kentucky-Indiana |
468 |
74.8 |
2.6 |
(69.7–79.8) |
Lubbock, Texas |
397 |
76.8 |
2.7 |
(71.5–82.0) |
Manchester-Nashua, New Hampshire |
705 |
81.8 |
1.7 |
(78.4–85.1) |
McAllen-Edinburg-Mission, Texas |
290 |
66.8 |
3.3 |
(60.3–73.2) |
Memphis, Tennessee-Mississippi-Arkansas |
645 |
78.8 |
2.1 |
(74.6–82.9) |
Miami-Fort Lauderdale-Miami Beach, Florida |
532 |
79.6 |
2.3 |
(75.0–84.1) |
Midland, Texas |
285 |
63.8 |
3.5 |
(56.9–70.6) |
Milwaukee-Waukesha-West Allis, Wisconsin |
747 |
81.1 |
2.3 |
(76.5–85.6) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
2,285 |
81.4 |
1.2 |
(79.0–83.7) |
Minot, North Dakota |
277 |
81.4 |
2.5 |
(76.5–86.3) |
Mobile, Alabama |
355 |
78.9 |
2.6 |
(73.8–83.9) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
274 |
77.3 |
3.2 |
(71.0–83.5) |
Naples-Marco Island, Florida |
289 |
78.1 |
4.2 |
(69.8–86.3) |
Nashville-Davidson-Murfreesboro, Tennessee |
448 |
77.0 |
2.6 |
(71.9–82.0) |
Nassau-Suffolk, New York* |
512 |
76.6 |
2.3 |
(72.0–81.1) |
Newark-Union, New Jersey-Pennsylvania* |
1,603 |
78.5 |
1.4 |
(75.7–81.2) |
New Haven-Milford, Connecticut |
839 |
80.8 |
2.0 |
(76.8–84.7) |
New Orleans-Metairie-Kenner, Louisiana |
826 |
75.8 |
1.7 |
(72.4–79.1) |
New York-White Plains-Wayne, New York-New Jersey* |
2,815 |
78.9 |
1.0 |
(76.9–80.8) |
Norfolk, Nebraska |
361 |
69.0 |
2.6 |
(63.9–74.0) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
300 628 |
72.7 78.4 |
2.9 2.1 |
(67.0–78.3) (74.2–82.5) |
Ocala, Florida |
300 |
76.2 |
3.0 |
(70.3–82.0) |
Ocean City, New Jersey |
265 |
81.8 |
2.9 |
(76.1–87.4) |
TABLE 32. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
716 |
68.4 |
2.0 |
(64.4–72.3) |
Oklahoma City, Oklahoma |
1,254 |
70.8 |
1.5 |
(67.8–73.7) |
Olympia, Washington |
370 |
76.3 |
2.6 |
(71.2–81.3) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,132 |
74.2 |
1.7 |
(70.8–77.5) |
Orlando-Kissimmee, Florida |
1,327 |
72.5 |
1.7 |
(69.1–75.8) |
Palm Bay-Melbourne-Titusville, Florida |
272 |
77.4 |
3.0 |
(71.5–83.2) |
Panama City-Lynn Haven, Florida Peabody, Massachusetts |
261 1,002 |
77.7 88.0 |
3.4 1.7 |
(71.0–84.3) (84.6–91.3) |
Pensacola-Ferry Pass-Brent, Florida |
517 |
78.7 |
2.3 |
(74.1–83.2) |
Philadelphia, Pennsylvania* |
1,207 |
77.0 |
1.7 |
(73.6–80.3) |
Phoenix-Mesa-Scottsdale, Arizona |
837 |
73.8 |
2.1 |
(69.6–77.9) |
Pittsburgh, Pennsylvania |
1,282 |
72.9 |
1.5 |
(69.9–75.8) |
Portland-South Portland-Biddeford, Maine |
1,345 |
81.7 |
1.3 |
(79.1–84.2) |
Portland-Vancouver-Beaverton, Oregon-Washington |
1,712 |
72.6 |
1.4 |
(69.8–75.3) |
Port St. Lucie-Fort Pierce, Florida |
519 |
73.8 |
2.5 |
(68.9–78.7) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
4,820 |
83.5 |
0.7 |
(82.1–84.8) |
Provo-Orem, Utah |
441 |
66.5 |
2.7 |
(61.2–71.7) |
Raleigh-Cary, North Carolina |
487 |
79.8 |
2.4 |
(75.0–84.5) |
Rapid City, South Dakota |
413 |
70.3 |
2.7 |
(65.0–75.5) |
Reno-Sparks, Nevada |
607 |
71.3 |
2.2 |
(66.9–75.6) |
Richmond, Virginia |
406 |
76.6 |
2.6 |
(71.5–81.6) |
Riverside-San Bernardino-Ontario, California |
778 |
75.8 |
1.9 |
(72.0–79.5) |
Rochester, New York |
319 |
78.5 |
2.9 |
(72.8–84.1) |
Rockingham County-Strafford County, New Hampshire* |
810 |
82.7 |
1.6 |
(79.5–85.8) |
Rutland, Vermont |
362 |
72.9 |
2.7 |
(67.6–78.1) |
Sacramento-Arden-Arcade-Roseville, California |
608 |
81.1 |
2.0 |
(77.1–85.0) |
St. Louis, Missouri-Illinois |
880 |
75.3 |
2.1 |
(71.1–79.4) |
Salt Lake City, Utah |
1,799 |
66.7 |
1.4 |
(63.9–69.4) |
San Antonio, Texas |
573 |
70.1 |
2.6 |
(65.0–75.1) |
San Diego-Carlsbad-San Marcos, California |
738 |
77.5 |
1.8 |
(73.9–81.0) |
San Francisco-Oakland-Fremont, California |
1,066 |
81.5 |
1.5 |
(78.5–84.4) |
San Jose-Sunnyvale-Santa Clara, California |
384 |
82.0 |
2.4 |
(77.2–86.7) |
Santa Ana-Anaheim-Irvine, California* |
653 |
81.0 |
1.9 |
(77.2–84.7) |
Santa Fe, New Mexico |
329 |
71.8 |
3.2 |
(65.5–78.0) |
Scottsbluff, Nebraska |
438 |
66.5 |
2.9 |
(60.8–72.1) |
Scranton-Wilkes-Barre, Pennsylvania |
286 |
72.8 |
3.2 |
(66.5–79.0) |
Seaford, Delaware |
664 |
82.9 |
1.8 |
(79.3–86.4) |
Seattle-Bellevue-Everett, Washington* |
2,299 |
76.6 |
1.1 |
(74.4–78.7) |
Sebring, Florida |
300 |
72.0 |
3.8 |
(64.5–79.4) |
Shreveport-Bossier City, Louisiana |
378 |
73.6 |
2.9 |
(67.9–79.2) |
Sioux City, Iowa-Nebraska-South Dakota |
597 |
76.3 |
3.2 |
(70.0–82.5) |
Sioux Falls, South Dakota |
404 |
83.2 |
2.1 |
(79.0–87.3) |
Spokane, Washington |
599 |
74.0 |
2.2 |
(69.6–78.3) |
Springfield, Massachusetts |
995 |
82.5 |
1.9 |
(78.7–86.2) |
Tacoma, Washington* |
844 |
74.2 |
1.9 |
(70.4–77.9) |
Tallahassee, Florida |
1,063 |
82.0 |
2.2 |
(77.6–86.3) |
Tampa-St. Petersburg-Clearwater, Florida |
1,073 |
77.6 |
1.8 |
(74.0–81.1) |
Toledo, Ohio |
427 |
79.2 |
2.4 |
(74.4–83.9) |
Topeka, Kansas |
414 |
78.8 |
2.3 |
(74.2–83.3) |
Trenton-Ewing, New Jersey |
243 |
83.1 |
2.8 |
(77.6–88.5) |
Tucson, Arizona |
389 |
78.5 |
2.7 |
(73.2–83.7) |
Tulsa, Oklahoma |
1,080 |
67.9 |
1.7 |
(64.5–71.2) |
Tuscaloosa, Alabama |
281 |
81.8 |
2.7 |
(76.5–87.0) |
Twin Falls, Idaho |
282 |
62.9 |
3.6 |
(55.8–69.9) |
Tyler, Texas |
350 |
78.6 |
2.5 |
(73.7–83.5) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
525 |
82.0 |
2.2 |
(77.6–86.3) |
Warren-Troy-Farmington Hills, Michigan* |
942 |
78.6 |
1.7 |
(75.2–81.9) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia* |
2,920 |
81.2 |
1.8 |
(77.6–84.7) |
Wauchula, Florida |
284 |
64.5 |
3.5 |
(57.6–71.3) |
West Palm Beach-Boca Raton-Boynton Beach, Florida* |
285 |
84.5 |
2.7 |
(79.2–89.7) |
Wichita, Kansas |
906 |
77.9 |
1.6 |
(74.7–81.0) |
Wichita Falls, Texas |
439 |
74.5 |
2.7 |
(69.2–79.7) |
Wilmington, Delaware-Maryland-New Jersey* |
1,094 |
80.1 |
1.4 |
(77.3–82.8) |
TABLE 32. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
985 |
82.7 |
1.8 |
(79.1–86.2) |
Yakima, Washington |
356 |
74.4 |
2.8 |
(68.9–79.8) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
577 |
72.9 |
3.3 |
(66.4–79.3) |
Median |
76.5 |
|||
Range |
60.3-86.2 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Metropolitan division. † Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 33. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
255 |
75.2 |
3.2 |
(68.9–81.4) |
Nassau County, Florida |
253 |
78.4 |
3.2 |
(72.1–84.6) |
Orange County, Florida |
479 |
71.0 |
2.8 |
(65.5–76.4) |
Osceola County, Florida |
282 |
70.5 |
4.1 |
(62.4–78.5) |
Palm Beach County, Florida |
285 |
84.5 |
2.7 |
(79.2–89.7) |
Pasco County, Florida |
301 |
76.8 |
3.3 |
(70.3–83.2) |
Pinellas County, Florida |
262 |
79.8 |
2.9 |
(74.1–85.4) |
Polk County, Florida |
271 |
75.7 |
3.3 |
(69.2–82.1) |
St. Johns County, Florida |
264 |
81.5 |
3.0 |
(75.6–87.3) |
St. Lucie County, Florida |
247 |
72.0 |
3.5 |
(65.1–78.8) |
Santa Rosa County, Florida |
254 |
76.8 |
3.3 |
(70.3–83.2) |
Sarasota County, Florida |
345 |
79.9 |
2.7 |
(74.6–85.1) |
Seminole County, Florida |
244 |
69.0 |
3.4 |
(62.3–75.6) |
Volusia County, Florida |
477 |
72.9 |
2.6 |
(67.8–77.9) |
Wakulla County, Florida |
253 |
NA |
NA |
NA |
Cobb County, Georgia |
126 |
86.6 |
3.3 |
(80.1–93.0) |
DeKalb County, Georgia |
174 |
79.4 |
3.9 |
(71.7–87.0) |
Fulton County, Georgia |
173 |
78.0 |
5.0 |
(68.2–87.8) |
Gwinnett County, Georgia |
109 |
81.2 |
4.8 |
(71.7–90.6) |
Hawaii County, Hawaii |
682 |
73.2 |
2.0 |
(69.2–77.1) |
Honolulu County, Hawaii |
1,376 |
78.4 |
1.4 |
(75.6–81.1) |
Kauai County, Hawaii |
331 |
72.6 |
2.9 |
(66.9–78.2) |
Maui County, Hawaii |
734 |
73.8 |
2.2 |
(69.4–78.1) |
Ada County, Idaho |
419 |
71.3 |
2.7 |
(66.0–76.5) |
Bonneville County, Idaho |
242 |
64.6 |
3.5 |
(57.7–71.4) |
Canyon County, Idaho |
274 |
65.7 |
3.4 |
(59.0–72.3) |
Kootenai County, Idaho |
280 |
69.2 |
3.6 |
(62.1–76.2) |
Nez Perce County, Idaho |
181 |
69.7 |
4.0 |
(61.8–77.5) |
Twin Falls County, Idaho |
222 |
63.7 |
4.1 |
(55.6–71.7) |
Cook County, Illinois |
1,484 |
76.5 |
1.4 |
(73.7–79.2) |
DuPage County, Illinois |
113 |
74.0 |
4.6 |
(64.9–83.0) |
Allen County, Indiana |
289 |
71.5 |
3.1 |
(65.4–77.5) |
Lake County, Indiana |
509 |
69.5 |
3.5 |
(62.6–76.3) |
Marion County, Indiana |
734 |
72.5 |
2.5 |
(67.6–77.4) |
Linn County, Iowa |
241 |
81.1 |
3.1 |
(75.0–87.1) |
Polk County, Iowa |
365 |
75.7 |
2.6 |
(70.6–80.7) |
Johnson County, Kansas |
668 |
81.8 |
1.8 |
(78.2–85.3) |
Sedgwick County, Kansas |
686 |
78.4 |
1.8 |
(74.8–81.9) |
Shawnee County, Kansas |
318 |
81.8 |
2.5 |
(76.9–86.7) |
Wyandotte County, Kansas |
327 |
73.4 |
3.2 |
(67.1–79.6) |
Jefferson County, Kentucky |
208 |
78.5 |
3.6 |
(71.4–85.5) |
Caddo Parish, Louisiana |
245 |
74.1 |
3.5 |
(67.2–80.9) |
East Baton Rouge Parish, Louisiana |
388 |
84.0 |
2.1 |
(79.8–88.1) |
Jefferson Parish, Louisiana |
333 |
76.3 |
3.0 |
(70.4–82.1) |
Orleans Parish, Louisiana |
208 |
76.4 |
3.6 |
(69.3–83.4) |
St. Tammany Parish, Louisiana |
193 |
77.3 |
3.4 |
(70.6–83.9) |
Androscoggin County, Maine |
258 |
79.3 |
3.2 |
(73.0–85.5) |
Cumberland County, Maine |
725 |
82.2 |
1.7 |
(78.8–85.5) |
Kennebec County, Maine |
348 |
84.1 |
2.2 |
(79.7–88.4) |
Penobscot County, Maine |
365 |
86.2 |
2.1 |
(82.0–90.3) |
Sagadahoc County, Maine |
151 |
75.3 |
4.8 |
(65.8–84.7) |
York County, Maine |
469 |
82.3 |
2.1 |
(78.1–86.4) |
Anne Arundel County, Maryland |
293 |
77.3 |
2.9 |
(71.6–82.9) |
Baltimore County, Maryland |
512 |
80.9 |
2.0 |
(76.9–84.8) |
Cecil County, Maryland |
118 |
78.8 |
4.3 |
(70.3–87.2) |
Charles County, Maryland |
155 |
84.6 |
3.4 |
(77.9–91.2) |
Frederick County, Maryland |
285 |
80.2 |
2.7 |
(74.9–85.4) |
Harford County, Maryland |
141 |
84.4 |
3.4 |
(77.7–91.0) |
Howard County, Maryland |
165 |
89.5 |
2.5 |
(84.6–94.4) |
Montgomery County, Maryland |
512 |
81.0 |
2.3 |
(76.4–85.5) |
Prince George´s County, Maryland |
374 |
78.4 |
2.9 |
(72.7–84.0) |
Queen Anne´s County, Maryland |
134 |
89.7 |
3.2 |
(83.4–95.9) |
Washington County, Maryland |
217 |
77.3 |
3.5 |
(70.4–84.1) |
TABLE 33. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
311 |
80.6 |
2.8 |
(75.1–86.0) |
Bristol County, Massachusetts |
1,379 |
88.2 |
1.6 |
(85.0–91.3) |
Essex County, Massachusetts |
1,002 |
87.8 |
1.7 |
(84.4–91.1) |
Hampden County, Massachusetts |
780 |
83.3 |
2.3 |
(78.7–87.8) |
Hampshire County, Massachusetts |
126 |
81.3 |
5.0 |
(71.5–91.1) |
Middlesex County, Massachusetts |
1,337 |
86.2 |
1.3 |
(83.6–88.7) |
Norfolk County, Massachusetts |
421 |
85.4 |
2.0 |
(81.4–89.3) |
Plymouth County, Massachusetts |
342 |
87.3 |
1.9 |
(83.5–91.0) |
Suffolk County, Massachusetts |
836 |
84.6 |
1.9 |
(80.8–88.3) |
Worcester County, Massachusetts |
985 |
82.7 |
1.8 |
(79.1–86.2) |
Kent County, Michigan |
222 |
76.7 |
3.6 |
(69.6–83.7) |
Macomb County, Michigan |
253 |
83.2 |
2.7 |
(77.9–88.4) |
Oakland County, Michigan |
493 |
78.3 |
2.4 |
(73.5–83.0) |
Wayne County, Michigan |
1,088 |
76.7 |
2.1 |
(72.5–80.8) |
Anoka County, Minnesota |
180 |
87.1 |
3.0 |
(81.2–92.9) |
Dakota County, Minnesota |
267 |
77.2 |
3.4 |
(70.5–83.8) |
Hennepin County, Minnesota |
965 |
83.7 |
1.9 |
(79.9–87.4) |
Ramsey County, Minnesota |
462 |
81.7 |
2.8 |
(76.2–87.1) |
Washington County, Minnesota |
113 |
80.8 |
4.4 |
(72.1–89.4) |
DeSoto County, Mississippi |
222 |
65.2 |
4.6 |
(56.1–74.2) |
Hinds County, Mississippi |
199 |
74.3 |
3.8 |
(66.8–81.7) |
Jackson County, Missouri |
265 |
74.1 |
3.3 |
(67.6–80.5) |
St. Louis County, Missouri |
302 |
80.9 |
3.2 |
(74.6–87.1) |
St. Louis city, Missouri |
332 |
71.6 |
3.9 |
(63.9–79.2) |
Flathead County, Montana |
305 |
74.3 |
2.9 |
(68.6–79.9) |
Lewis and Clark County, Montana |
269 |
71.7 |
3.4 |
(65.0–78.3) |
Yellowstone County, Montana |
260 |
71.5 |
3.5 |
(64.6–78.3) |
Adams County, Nebraska |
269 |
64.5 |
4.1 |
(56.4–72.5) |
Dakota County, Nebraska |
364 |
63.0 |
3.1 |
(56.9–69.0) |
Douglas County, Nebraska |
468 |
76.4 |
2.4 |
(71.6–81.1) |
Hall County, Nebraska |
298 |
71.6 |
3.3 |
(65.1–78.0) |
Lancaster County, Nebraska |
406 |
74.7 |
2.5 |
(69.8–79.6) |
Lincoln County, Nebraska |
280 |
74.7 |
2.9 |
(69.0–80.3) |
Madison County, Nebraska |
256 |
67.6 |
3.1 |
(61.5–73.6) |
Sarpy County, Nebraska |
275 |
77.9 |
3.3 |
(71.4–84.3) |
Scotts Bluff County, Nebraska |
427 |
66.1 |
3.0 |
(60.2–71.9) |
Seward County, Nebraska |
145 |
68.4 |
4.9 |
(58.7–78.0) |
Clark County, Nevada |
563 |
66.8 |
2.4 |
(62.0–71.5) |
Washoe County, Nevada |
599 |
70.9 |
2.2 |
(66.5–75.2) |
Grafton County, New Hampshire |
256 |
81.5 |
2.7 |
(76.2–86.7) |
Hillsborough County, New Hampshire |
705 |
81.8 |
1.7 |
(78.4–85.1) |
Merrimack County, New Hampshire |
366 |
81.7 |
2.4 |
(76.9–86.4) |
Rockingham County, New Hampshire |
517 |
82.8 |
2.0 |
(78.8–86.7) |
Strafford County, New Hampshire |
293 |
83.1 |
2.5 |
(78.2–88.0) |
Atlantic County, New Jersey |
416 |
79.2 |
2.5 |
(74.3–84.1) |
Bergen County, New Jersey |
300 |
73.9 |
3.2 |
(67.6–80.1) |
Burlington County, New Jersey |
302 |
77.6 |
2.8 |
(72.1–83.0) |
Camden County, New Jersey |
294 |
70.0 |
4.1 |
(61.9–78.0) |
Cape May County, New Jersey |
265 |
81.8 |
2.9 |
(76.1–87.4) |
Essex County, New Jersey |
490 |
80.6 |
2.3 |
(76.0–85.1) |
Gloucester County, New Jersey |
248 |
78.2 |
3.2 |
(71.9–84.4) |
Hudson County, New Jersey |
451 |
74.0 |
2.6 |
(68.9–79.0) |
Hunterdon County, New Jersey |
262 |
81.6 |
2.6 |
(76.5–86.6) |
Mercer County, New Jersey |
243 |
83.1 |
2.8 |
(77.6–88.5) |
Middlesex County, New Jersey |
296 |
75.9 |
3.5 |
(69.0–82.7) |
Monmouth County, New Jersey |
275 |
82.5 |
2.7 |
(77.2–87.7) |
Morris County, New Jersey |
321 |
75.1 |
3.1 |
(69.0–81.1) |
Ocean County, New Jersey |
279 |
75.1 |
3.0 |
(69.2–80.9) |
Passaic County, New Jersey |
210 |
75.2 |
3.5 |
(68.3–82.0) |
Somerset County, New Jersey |
253 |
82.0 |
2.6 |
(76.9–87.0) |
Sussex County, New Jersey |
232 |
80.0 |
3.2 |
(73.7–86.2) |
Union County, New Jersey |
267 |
77.7 |
3.1 |
(71.6–83.7) |
Warren County, New Jersey |
226 |
74.6 |
3.5 |
(67.7–81.4) |
TABLE 33. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
625 |
77.6 |
2.0 |
(73.6–81.5) |
Dona Ana County, New Mexico |
255 |
70.9 |
3.5 |
(64.0–77.7) |
Sandoval County, New Mexico |
272 |
73.0 |
3.4 |
(66.3–79.6) |
San Juan County, New Mexico |
312 |
66.1 |
3.7 |
(58.8–73.3) |
Santa Fe County, New Mexico |
329 |
71.8 |
3.2 |
(65.5–78.0) |
Valencia County, New Mexico |
188 |
NA |
NA |
NA |
Bronx County, New York |
200 |
84.3 |
2.9 |
(78.6–89.9) |
Erie County, New York |
257 |
80.8 |
3.0 |
(74.9–86.6) |
Kings County, New York |
392 |
79.1 |
2.4 |
(74.3–83.8) |
Monroe County, New York |
218 |
80.3 |
4.0 |
(72.4–88.1) |
Nassau County, New York |
232 |
78.4 |
3.2 |
(72.1–84.6) |
New York County, New York |
519 |
78.4 |
2.4 |
(73.6–83.1) |
Queens County, New York |
361 |
77.2 |
2.7 |
(71.9–82.4) |
Suffolk County, New York |
280 |
76.7 |
2.9 |
(71.0–82.3) |
Westchester County, New York |
196 |
83.9 |
3.2 |
(77.6–90.1) |
Buncombe County, North Carolina |
142 |
79.5 |
4.7 |
(70.2–88.7) |
Cabarrus County, North Carolina |
152 |
83.0 |
3.5 |
(76.1–89.8) |
Catawba County, North Carolina |
137 |
73.9 |
4.8 |
(64.4–83.3) |
Durham County, North Carolina |
322 |
79.2 |
2.9 |
(73.5–84.8) |
Gaston County, North Carolina |
148 |
77.1 |
4.8 |
(67.6–86.5) |
Guilford County, North Carolina |
353 |
78.6 |
2.8 |
(73.1–84.0) |
Johnston County, North Carolina |
132 |
NA |
NA |
NA |
Mecklenburg County, North Carolina |
321 |
76.7 |
2.9 |
(71.0–82.3) |
Orange County, North Carolina |
161 |
79.8 |
3.8 |
(72.3–87.2) |
Randolph County, North Carolina |
197 |
76.3 |
3.5 |
(69.4–83.1) |
Union County, North Carolina |
157 |
72.2 |
4.8 |
(62.7–81.6) |
Wake County, North Carolina |
336 |
81.3 |
2.6 |
(76.2–86.3) |
Burleigh County, North Dakota |
267 |
74.6 |
3.0 |
(68.7–80.4) |
Cass County, North Dakota |
364 |
77.9 |
2.5 |
(73.0–82.8) |
Ward County, North Dakota |
233 |
84.3 |
2.5 |
(79.4–89.2) |
Cuyahoga County, Ohio |
366 |
77.5 |
2.7 |
(72.2–82.7) |
Franklin County, Ohio |
310 |
75.8 |
2.8 |
(70.3–81.2) |
Hamilton County, Ohio |
374 |
71.3 |
2.8 |
(65.8–76.7) |
Lucas County, Ohio |
364 |
75.1 |
2.5 |
(70.2–80.0) |
Mahoning County, Ohio |
406 |
74.2 |
2.6 |
(69.1–79.2) |
Montgomery County, Ohio |
368 |
77.5 |
2.7 |
(72.2–82.7) |
Stark County, Ohio |
373 |
80.4 |
2.5 |
(75.5–85.3) |
Summit County, Ohio |
362 |
71.7 |
2.9 |
(66.0–77.3) |
Cleveland County, Oklahoma |
210 |
75.7 |
3.5 |
(68.8–82.5) |
Oklahoma County, Oklahoma |
730 |
70.9 |
2.0 |
(66.9–74.8) |
Tulsa County, Oklahoma |
763 |
67.0 |
2.0 |
(63.0–70.9) |
Clackamas County, Oregon |
228 |
73.0 |
3.7 |
(65.7–80.2) |
Lane County, Oregon |
268 |
72.6 |
3.2 |
(66.3–78.8) |
Multnomah County, Oregon |
403 |
72.4 |
2.9 |
(66.7–78.0) |
Washington County, Oregon |
274 |
71.6 |
3.1 |
(65.5–77.6) |
Allegheny County, Pennsylvania |
737 |
75.0 |
2.0 |
(71.0–78.9) |
Lehigh County, Pennsylvania |
129 |
NA |
NA |
NA |
Luzerne County, Pennsylvania |
164 |
68.2 |
4.5 |
(59.3–77.0) |
Montgomery County, Pennsylvania |
170 |
76.9 |
3.7 |
(69.6–84.1) |
Northampton County, Pennsylvania |
134 |
71.7 |
5.1 |
(61.7–81.6) |
Philadelphia County, Pennsylvania |
736 |
77.7 |
1.9 |
(73.9–81.4) |
Westmoreland County, Pennsylvania |
184 |
72.7 |
3.9 |
(65.0–80.3) |
Bristol County, Rhode Island |
142 |
86.5 |
3.2 |
(80.2–92.7) |
Kent County, Rhode Island |
493 |
79.9 |
2.1 |
(75.7–84.0) |
Newport County, Rhode Island |
253 |
80.3 |
2.9 |
(74.6–85.9) |
Providence County, Rhode Island |
2,144 |
82.2 |
1.0 |
(80.2–84.1) |
Washington County, Rhode Island |
409 |
81.5 |
2.5 |
(76.6–86.4) |
Aiken County, South Carolina |
235 |
78.4 |
3.2 |
(72.1–84.6) |
Beaufort County, South Carolina |
327 |
78.7 |
2.9 |
(73.0–84.3) |
Berkeley County, South Carolina |
187 |
NA |
NA |
NA |
Charleston County, South Carolina |
353 |
77.4 |
3.6 |
(70.3–84.4) |
Greenville County, South Carolina |
258 |
68.8 |
4.5 |
(59.9–77.6) |
Horry County, South Carolina |
274 |
77.3 |
3.1 |
(71.2–83.3) |
TABLE 33. (Continued) Estimated prevalence of women aged ≥40 years who had a mammogram during the preceding 2 years, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
347 |
78.5 |
4.4 |
(69.8–87.1) |
Minnehaha County, South Dakota |
299 |
82.8 |
2.4 |
(78.0–87.5) |
Pennington County, South Dakota |
331 |
71.8 |
3.0 |
(65.9–77.6) |
Davidson County, Tennessee |
233 |
73.1 |
3.9 |
(65.4–80.7) |
Hamilton County, Tennessee |
236 |
86.5 |
2.6 |
(81.4–91.5) |
Knox County, Tennessee |
217 |
75.4 |
3.8 |
(67.9–82.8) |
Shelby County, Tennessee |
225 |
83.4 |
3.0 |
(77.5–89.2) |
Sullivan County, Tennessee |
273 |
75.3 |
3.9 |
(67.6–82.9) |
Bexar County, Texas |
499 |
72.5 |
2.5 |
(67.6–77.4) |
Dallas County, Texas |
194 |
75.4 |
3.8 |
(67.9–82.8) |
El Paso County, Texas |
419 |
71.4 |
2.7 |
(66.1–76.6) |
Fort Bend County, Texas |
433 |
69.7 |
2.9 |
(64.0–75.3) |
Harris County, Texas |
697 |
71.1 |
2.0 |
(67.1–75.0) |
Hidalgo County, Texas |
290 |
66.8 |
3.3 |
(60.3–73.2) |
Lubbock County, Texas |
387 |
77.1 |
2.7 |
(71.8–82.3) |
Midland County, Texas |
285 |
63.8 |
3.5 |
(56.9–70.6) |
Potter County, Texas |
171 |
75.5 |
3.7 |
(68.2–82.7) |
Randall County, Texas |
239 |
69.0 |
3.7 |
(61.7–76.2) |
Smith County, Texas |
350 |
78.6 |
2.5 |
(73.7–83.5) |
Tarrant County, Texas |
306 |
77.8 |
2.9 |
(72.1–83.4) |
Travis County, Texas |
359 |
NA |
NA |
NA |
Val Verde County, Texas |
296 |
NA |
NA |
NA |
Webb County, Texas |
398 |
61.0 |
2.8 |
(55.5–66.4) |
Wichita County, Texas |
354 |
75.9 |
2.9 |
(70.2–81.5) |
Davis County, Utah |
359 |
66.6 |
2.9 |
(60.9–72.2) |
Salt Lake County, Utah |
1,388 |
66.8 |
1.5 |
(63.8–69.7) |
Summit County, Utah |
191 |
73.9 |
3.5 |
(67.0–80.7) |
Tooele County, Utah |
220 |
59.3 |
3.8 |
(51.8–66.7) |
Utah County, Utah |
416 |
66.3 |
2.7 |
(61.0–71.5) |
Weber County, Utah |
339 |
71.7 |
2.9 |
(66.0–77.3) |
Chittenden County, Vermont |
714 |
77.4 |
1.8 |
(73.8–80.9) |
Franklin County, Vermont |
197 |
79.5 |
3.0 |
(73.6–85.3) |
Orange County, Vermont |
166 |
81.0 |
3.6 |
(73.9–88.0) |
Rutland County, Vermont |
362 |
72.9 |
2.7 |
(67.6–78.1) |
Washington County, Vermont |
343 |
81.3 |
2.4 |
(76.5–86.0) |
Windsor County, Vermont |
358 |
75.9 |
2.6 |
(70.8–80.9) |
Benton County, Washington |
180 |
73.5 |
4.1 |
(65.4–81.5) |
Clark County, Washington |
550 |
76.4 |
2.2 |
(72.0–80.7) |
Franklin County, Washington |
115 |
73.7 |
5.0 |
(63.9–83.5) |
King County, Washington |
1,496 |
76.8 |
1.3 |
(74.2–79.3) |
Kitsap County, Washington |
444 |
72.7 |
2.5 |
(67.8–77.6) |
Pierce County, Washington |
844 |
73.6 |
1.9 |
(69.8–77.3) |
Snohomish County, Washington |
803 |
77.1 |
1.7 |
(73.7–80.4) |
Spokane County, Washington |
599 |
74.0 |
2.2 |
(69.6–78.3) |
Thurston County, Washington |
370 |
76.3 |
2.6 |
(71.2–81.3) |
Yakima County, Washington |
356 |
74.4 |
2.8 |
(68.9–79.8) |
Kanawha County, West Virginia |
264 |
84.2 |
2.5 |
(79.3–89.1) |
Milwaukee County, Wisconsin |
597 |
78.6 |
3.0 |
(72.7–84.4) |
Laramie County, Wyoming |
470 |
76.6 |
2.5 |
(71.7–81.5) |
Natrona County, Wyoming |
369 |
65.3 |
3.1 |
(59.2–71.3) |
Median |
77.1 |
|||
Range |
59.3-89.7 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 35. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
946 |
13.8 |
2.3 |
(9.2–18.3) |
Grand Island, Nebraska |
861 |
15.2 |
1.8 |
(11.6–18.7) |
Grand Rapids-Wyoming, Michigan |
622 |
19.2 |
2.4 |
(14.4–23.9) |
Greensboro-High Point, North Carolina |
1,154 |
20.2 |
2.3 |
(15.6–24.7) |
Greenville, South Carolina |
779 |
17.0 |
2.5 |
(12.1–21.9) |
Hagerstown-Martinsburg, Maryland-West Virginia |
644 |
23.4 |
2.8 |
(17.9–28.8) |
Hartford-West Hartford-East Hartford, Connecticut |
2,011 |
13.1 |
1.3 |
(10.5–15.6) |
Hastings, Nebraska |
588 |
14.0 |
2.2 |
(9.6–18.3) |
Helena, Montana |
641 |
17.3 |
2.4 |
(12.5–22.0) |
Hickory-Morganton-Lenoir, North Carolina |
600 |
22.4 |
2.6 |
(17.3–27.4) |
Hilo, Hawaii |
1,477 |
20.0 |
1.6 |
(16.8–23.1) |
Hilton Head Island-Beaufort, South Carolina |
800 |
19.2 |
2.2 |
(14.8–23.5) |
Homosassa Springs, Florida |
531 |
21.6 |
2.7 |
(16.3–26.8) |
Honolulu, Hawaii |
2,950 |
13.1 |
0.9 |
(11.3–14.8) |
Houston-Sugar Land-Baytown, Texas |
2,728 |
16.2 |
1.4 |
(13.4–18.9) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
656 |
27.3 |
2.6 |
(22.2–32.3) |
Idaho Falls, Idaho |
664 |
11.9 |
1.7 |
(8.5–15.2) |
Indianapolis-Carmel, Indiana |
2,245 |
19.8 |
1.3 |
(17.2–22.3) |
Jackson, Mississippi |
760 |
19.4 |
2.0 |
(15.4–23.3) |
Jacksonville, Florida |
2,578 |
17.7 |
1.5 |
(14.7–20.6) |
Kahului-Wailuku, Hawaii |
1,462 |
15.8 |
1.6 |
(12.6–18.9) |
Kalispell, Montana |
700 |
18.6 |
2.2 |
(14.2–22.9) |
Kansas City, Missouri-Kansas |
3,375 |
19.1 |
1.2 |
(16.7–21.4) |
Kapaa, Hawaii |
645 |
18.5 |
2.5 |
(13.6–23.4) |
Kennewick-Richland-Pasco, Washington |
641 |
8.8 |
1.6 |
(5.6–11.9) |
Key West-Marathon, Florida |
503 |
21.4 |
2.8 |
(15.9–26.8) |
Kingsport-Bristol, Tennessee-Virginia |
655 |
21.5 |
3.0 |
(15.6–27.3) |
Knoxville, Tennessee |
528 |
21.2 |
2.8 |
(15.7–26.6) |
Lake City, Florida |
566 |
27.9 |
2.8 |
(22.4–33.3) |
Lakeland-Winter Haven, Florida |
520 |
21.5 |
2.6 |
(16.4–26.5) |
Laredo, Texas |
914 |
15.8 |
1.6 |
(12.6–18.9) |
Las Cruces, New Mexico |
504 |
11.9 |
2.0 |
(7.9–15.8) |
Las Vegas-Paradise, Nevada |
1,266 |
22.1 |
1.6 |
(18.9–25.2) |
Lebanon, New Hampshire-Vermont |
1,549 |
16.9 |
1.5 |
(13.9–19.8) |
Lewiston, Idaho-Washington |
601 |
22.9 |
2.6 |
(17.8–27.9) |
Lewiston-Auburn, Maine |
498 |
13.8 |
2.0 |
(9.8–17.7) |
Lincoln, Nebraska |
1,127 |
17.4 |
2.2 |
(13.0–21.7) |
Little Rock-North Little Rock, Arkansas |
819 |
19.9 |
2.6 |
(14.8–24.9) |
Los Angeles-Long Beach-Glendale, California† |
2,464 |
11.7 |
0.9 |
(9.9–13.4) |
Louisville, Kentucky-Indiana |
907 |
22.9 |
2.0 |
(18.9–26.8) |
Lubbock, Texas |
781 |
21.9 |
2.6 |
(16.8–26.9) |
Manchester-Nashua, New Hampshire |
1,417 |
16.9 |
1.5 |
(13.9–19.8) |
McAllen-Edinburg-Mission, Texas |
593 |
12.6 |
2.2 |
(8.2–16.9) |
Memphis, Tennessee-Mississippi-Arkansas |
1,150 |
17.3 |
2.3 |
(12.7–21.8) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,025 |
12.4 |
1.7 |
(9.0–15.7) |
Midland, Texas |
522 |
18.4 |
2.4 |
(13.6–23.1) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,530 |
20.5 |
2.1 |
(16.3–24.6) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
4,848 |
15.2 |
1.1 |
(13.0–17.3) |
Minot, North Dakota |
555 |
13.5 |
1.8 |
(9.9–17.0) |
Mobile, Alabama |
677 |
25.0 |
2.8 |
(19.5–30.4) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
552 |
23.4 |
2.9 |
(17.7–29.0) |
Naples-Marco Island, Florida |
518 |
16.9 |
3.4 |
(10.2–23.5) |
Nashville-Davidson-Murfreesboro, Tennessee |
827 |
17.4 |
2.1 |
(13.2–21.5) |
Nassau-Suffolk, New York† |
1,067 |
13.7 |
1.4 |
(10.9–16.4) |
Newark-Union, New Jersey-Pennsylvania† |
3,296 |
14.1 |
1.1 |
(11.9–16.2) |
New Haven-Milford, Connecticut |
1,665 |
15.6 |
1.6 |
(12.4–18.7) |
New Orleans-Metairie-Kenner, Louisiana |
1,531 |
20.3 |
1.5 |
(17.3–23.2) |
New York-White Plains-Wayne, New York-New Jersey† |
6,170 |
13.7 |
0.7 |
(12.3–15.0) |
Norfolk, Nebraska |
677 |
15.9 |
2.4 |
(11.1–20.6) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
578 1,127 |
17.2 18.3 |
2.3 2.0 |
(12.6–21.7) (14.3–22.2) |
Ocala, Florida |
588 |
23.8 |
3.0 |
(17.9–29.6) |
Ocean City, New Jersey |
521 |
20.6 |
2.5 |
(15.7–25.5) |
TABLE 35. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
1,693 |
8.1 |
0.9 |
(6.3–9.8) |
Oklahoma City, Oklahoma |
2,470 |
22.7 |
1.2 |
(20.3–25.0) |
Olympia, Washington |
775 |
18.6 |
2.1 |
(14.4–22.7) |
Omaha-Council Bluffs, Nebraska-Iowa |
2,355 |
19.0 |
1.3 |
(16.4–21.5) |
Orlando-Kissimmee, Florida |
2,668 |
15.8 |
1.2 |
(13.4–18.1) |
Palm Bay-Melbourne-Titusville, Florida |
523 |
20.4 |
3.0 |
(14.5–26.2) |
Panama City-Lynn Haven, Florida Peabody, Massachusetts |
541 2,126 |
15.9 12.6 |
2.1 1.5 |
(11.7–20.0) (9.6–15.5) |
Pensacola-Ferry Pass-Brent, Florida |
1,012 |
22.6 |
1.9 |
(18.8–26.3) |
Philadelphia, Pennsylvania† |
2,347 |
15.9 |
1.1 |
(13.7–18.0) |
Phoenix-Mesa-Scottsdale, Arizona |
1,681 |
14.8 |
1.5 |
(11.8–17.7) |
Pittsburgh, Pennsylvania |
2,415 |
17.2 |
1.0 |
(15.2–19.1) |
Portland-South Portland-Biddeford, Maine |
2,611 |
17.2 |
1.1 |
(15.0–19.3) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,390 |
13.9 |
1.1 |
(11.7–16.0) |
Port St. Lucie-Fort Pierce, Florida |
1,021 |
17.9 |
2.2 |
(13.5–22.2) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
9,498 |
16.7 |
0.7 |
(15.3–18.0) |
Provo-Orem, Utah |
1,176 |
5.8 |
1.2 |
(3.4–8.1) |
Raleigh-Cary, North Carolina |
1,025 |
16.6 |
1.9 |
(12.8–20.3) |
Rapid City, South Dakota |
846 |
17.5 |
1.7 |
(14.1–20.8) |
Reno-Sparks, Nevada |
1,325 |
19.1 |
1.5 |
(16.1–22.0) |
Richmond, Virginia |
796 |
19.6 |
2.7 |
(14.3–24.8) |
Riverside-San Bernardino-Ontario, California |
1,804 |
14.0 |
1.2 |
(11.6–16.3) |
Rochester, New York |
564 |
13.7 |
2.0 |
(9.7–17.6) |
Rockingham County-Strafford County, New Hampshire† |
1,604 |
16.5 |
1.3 |
(13.9–19.0) |
Rutland, Vermont |
652 |
19.0 |
2.3 |
(14.4–23.5) |
Sacramento-Arden-Arcade-Roseville, California |
1,234 |
10.9 |
1.3 |
(8.3–13.4) |
St. Louis, Missouri-Illinois |
1,747 |
17.8 |
1.6 |
(14.6–20.9) |
Salt Lake City, Utah |
4,296 |
10.8 |
0.7 |
(9.4–12.1) |
San Antonio, Texas |
1,127 |
17.0 |
1.9 |
(13.2–20.7) |
San Diego-Carlsbad-San Marcos, California |
1,619 |
13.0 |
1.2 |
(10.6–15.3) |
San Francisco-Oakland-Fremont, California |
2,244 |
9.5 |
0.8 |
(7.9–11.0) |
San Jose-Sunnyvale-Santa Clara, California |
876 |
8.0 |
1.4 |
(5.2–10.7) |
Santa Ana-Anaheim-Irvine, California† |
1,383 |
9.0 |
1.2 |
(6.6–11.3) |
Santa Fe, New Mexico |
607 |
19.8 |
2.5 |
(14.9–24.7) |
Scottsbluff, Nebraska |
760 |
20.7 |
2.5 |
(15.8–25.6) |
Scranton-Wilkes-Barre, Pennsylvania |
551 |
24.3 |
2.6 |
(19.2–29.3) |
Seaford, Delaware |
1,232 |
19.1 |
1.7 |
(15.7–22.4) |
Seattle-Bellevue-Everett, Washington† |
4,668 |
12.9 |
0.7 |
(11.5–14.2) |
Sebring, Florida |
517 |
20.5 |
3.2 |
(14.2–26.7) |
Shreveport-Bossier City, Louisiana |
683 |
27.0 |
2.6 |
(21.9–32.0) |
Sioux City, Iowa-Nebraska-South Dakota |
1,217 |
18.1 |
2.3 |
(13.5–22.6) |
Sioux Falls, South Dakota |
835 |
11.7 |
1.5 |
(8.7–14.6) |
Spokane, Washington |
1,213 |
16.6 |
1.7 |
(13.2–19.9) |
Springfield, Massachusetts |
2,046 |
18.3 |
1.7 |
(14.9–21.6) |
Tacoma, Washington† |
1,715 |
16.8 |
1.2 |
(14.4–19.1) |
Tallahassee, Florida |
2,042 |
17.1 |
2.1 |
(12.9–21.2) |
Tampa-St. Petersburg-Clearwater, Florida |
2,027 |
20.5 |
1.7 |
(17.1–23.8) |
Toledo, Ohio |
859 |
21.2 |
2.0 |
(17.2–25.1) |
Topeka, Kansas |
831 |
17.4 |
1.8 |
(13.8–20.9) |
Trenton-Ewing, New Jersey |
502 |
11.5 |
1.8 |
(7.9–15.0) |
Tucson, Arizona |
694 |
15.5 |
2.5 |
(10.6–20.4) |
Tulsa, Oklahoma |
2,136 |
24.3 |
1.4 |
(21.5–27.0) |
Tuscaloosa, Alabama |
515 |
28.5 |
3.5 |
(21.6–35.3) |
Twin Falls, Idaho |
536 |
14.0 |
2.1 |
(9.8–18.1) |
Tyler, Texas |
665 |
21.9 |
3.3 |
(15.4–28.3) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,100 |
21.8 |
2.6 |
(16.7–26.8) |
Warren-Troy-Farmington Hills, Michigan† |
1,798 |
15.0 |
1.2 |
(12.6–17.3) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia† |
6,412 |
13.0 |
1.3 |
(10.4–15.5) |
Wauchula, Florida |
529 |
16.0 |
2.8 |
(10.5–21.4) |
West Palm Beach-Boca Raton-Boynton Beach, Florida† |
552 |
8.8 |
1.6 |
(5.6–11.9) |
Wichita, Kansas |
1,842 |
18.8 |
1.4 |
(16.0–21.5) |
Wichita Falls, Texas |
826 |
20.3 |
2.3 |
(15.7–24.8) |
Wilmington, Delaware-Maryland-New Jersey† |
2,210 |
18.1 |
1.2 |
(15.7–20.4) |
TABLE 35. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
2,096 |
15.6 |
1.6 |
(12.4–18.7) |
Yakima, Washington |
739 |
14.9 |
1.9 |
(11.1–18.6) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,052 |
26.5 |
2.8 |
(21.0–31.9) |
Median |
17.4 |
|||
Range |
5.8-28.5 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Smoked everyday or someday during the period of survey. † Metropolitan division. |
TABLE 36. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
503 |
21.4 |
2.8 |
(15.9–26.8) |
Nassau County, Florida |
518 |
17.9 |
2.7 |
(12.6–23.1) |
Orange County, Florida |
1,004 |
13.0 |
1.7 |
(9.6–16.3) |
Osceola County, Florida |
567 |
18.9 |
2.8 |
(13.4–24.3) |
Palm Beach County, Florida |
552 |
8.8 |
1.6 |
(5.6–11.9) |
Pasco County, Florida |
541 |
21.2 |
3.0 |
(15.3–27.0) |
Pinellas County, Florida |
495 |
20.3 |
2.8 |
(14.8–25.7) |
Polk County, Florida |
520 |
21.5 |
2.6 |
(16.4–26.5) |
St. Johns County, Florida |
518 |
11.4 |
1.8 |
(7.8–14.9) |
St. Lucie County, Florida |
501 |
18.0 |
2.5 |
(13.1–22.9) |
Santa Rosa County, Florida |
494 |
22.0 |
2.7 |
(16.7–27.2) |
Sarasota County, Florida |
605 |
18.5 |
2.7 |
(13.2–23.7) |
Seminole County, Florida |
491 |
21.7 |
2.9 |
(16.0–27.3) |
Volusia County, Florida |
859 |
23.3 |
2.6 |
(18.2–28.3) |
Wakulla County, Florida |
536 |
26.5 |
2.9 |
(20.8–32.1) |
Cobb County, Georgia |
253 |
13.3 |
2.8 |
(7.8–18.7) |
DeKalb County, Georgia |
341 |
6.4 |
1.7 |
(3.0–9.7) |
Fulton County, Georgia |
329 |
10.4 |
2.5 |
(5.5–15.3) |
Gwinnett County, Georgia |
251 |
15.3 |
3.5 |
(8.4–22.1) |
Hawaii County, Hawaii |
1,477 |
20.0 |
1.6 |
(16.8–23.1) |
Honolulu County, Hawaii |
2,950 |
13.1 |
0.9 |
(11.3–14.8) |
Kauai County, Hawaii |
645 |
18.5 |
2.5 |
(13.6–23.4) |
Maui County, Hawaii |
1,462 |
15.8 |
1.6 |
(12.6–18.9) |
Ada County, Idaho |
862 |
13.1 |
1.8 |
(9.5–16.6) |
Bonneville County, Idaho |
521 |
12.0 |
1.9 |
(8.2–15.7) |
Canyon County, Idaho |
618 |
18.1 |
2.1 |
(13.9–22.2) |
Kootenai County, Idaho |
568 |
17.4 |
2.7 |
(12.1–22.6) |
Nez Perce County, Idaho |
381 |
22.5 |
3.1 |
(16.4–28.5) |
Twin Falls County, Idaho |
431 |
15.7 |
2.4 |
(10.9–20.4) |
Cook County, Illinois |
2,883 |
18.3 |
1.1 |
(16.1–20.4) |
DuPage County, Illinois |
256 |
12.1 |
2.7 |
(6.8–17.3) |
Allen County, Indiana |
578 |
18.5 |
2.2 |
(14.1–22.8) |
Lake County, Indiana |
996 |
21.1 |
2.3 |
(16.5–25.6) |
Marion County, Indiana |
1,456 |
23.6 |
2.0 |
(19.6–27.5) |
Linn County, Iowa |
495 |
16.6 |
2.2 |
(12.2–20.9) |
Polk County, Iowa |
763 |
18.1 |
2.0 |
(14.1–22.0) |
Johnson County, Kansas |
1,412 |
12.0 |
1.2 |
(9.6–14.3) |
Sedgwick County, Kansas |
1,429 |
19.8 |
1.6 |
(16.6–22.9) |
Shawnee County, Kansas |
620 |
15.5 |
1.9 |
(11.7–19.2) |
Wyandotte County, Kansas |
607 |
24.5 |
2.6 |
(19.4–29.5) |
Jefferson County, Kentucky |
409 |
22.7 |
2.7 |
(17.4–27.9) |
Caddo Parish, Louisiana |
447 |
21.9 |
2.6 |
(16.8–26.9) |
East Baton Rouge Parish, Louisiana |
721 |
14.5 |
1.9 |
(10.7–18.2) |
Jefferson Parish, Louisiana |
593 |
20.6 |
2.4 |
(15.8–25.3) |
Orleans Parish, Louisiana |
375 |
19.6 |
3.0 |
(13.7–25.4) |
St. Tammany Parish, Louisiana |
372 |
18.8 |
2.8 |
(13.3–24.2) |
Androscoggin County, Maine |
498 |
13.8 |
2.0 |
(9.8–17.7) |
Cumberland County, Maine |
1,376 |
15.8 |
1.6 |
(12.6–18.9) |
Kennebec County, Maine |
650 |
20.7 |
2.3 |
(16.1–25.2) |
Penobscot County, Maine |
687 |
15.4 |
1.8 |
(11.8–18.9) |
Sagadahoc County, Maine |
298 |
13.0 |
2.5 |
(8.1–17.9) |
York County, Maine |
937 |
19.6 |
1.8 |
(16.0–23.1) |
Anne Arundel County, Maryland |
600 |
15.3 |
2.1 |
(11.1–19.4) |
Baltimore County, Maryland |
1,047 |
14.8 |
1.5 |
(11.8–17.7) |
Cecil County, Maryland |
270 |
25.3 |
3.4 |
(18.6–31.9) |
Charles County, Maryland |
348 |
14.3 |
2.2 |
(9.9–18.6) |
Frederick County, Maryland |
577 |
12.4 |
2.0 |
(8.4–16.3) |
Harford County, Maryland |
279 |
20.0 |
3.4 |
(13.3–26.6) |
Howard County, Maryland |
342 |
8.9 |
2.4 |
(4.1–13.6) |
Montgomery County, Maryland |
1,057 |
7.5 |
1.2 |
(5.1–9.8) |
Prince George´s County, Maryland |
794 |
13.4 |
1.7 |
(10.0–16.7) |
Queen Anne´s County, Maryland |
295 |
15.2 |
2.9 |
(9.5–20.8) |
Washington County, Maryland |
407 |
18.3 |
2.5 |
(13.4–23.2) |
TABLE 36. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
532 |
24.3 |
2.8 |
(18.8–29.7) |
Bristol County, Massachusetts |
2,921 |
18.9 |
1.6 |
(15.7–22.0) |
Essex County, Massachusetts |
2,126 |
12.0 |
1.3 |
(9.4–14.5) |
Hampden County, Massachusetts |
1,588 |
19.5 |
2.3 |
(14.9–24.0) |
Hampshire County, Massachusetts |
275 |
15.4 |
3.2 |
(9.1–21.6) |
Middlesex County, Massachusetts |
3,006 |
10.5 |
1.0 |
(8.5–12.4) |
Norfolk County, Massachusetts |
857 |
11.5 |
1.6 |
(8.3–14.6) |
Plymouth County, Massachusetts |
680 |
14.0 |
1.8 |
(10.4–17.5) |
Suffolk County, Massachusetts |
1,751 |
19.0 |
2.3 |
(14.4–23.5) |
Worcester County, Massachusetts |
2,096 |
15.6 |
1.6 |
(12.4–18.7) |
Kent County, Michigan |
446 |
18.8 |
2.7 |
(13.5–24.0) |
Macomb County, Michigan |
516 |
15.8 |
2.0 |
(11.8–19.7) |
Oakland County, Michigan |
933 |
12.2 |
1.7 |
(8.8–15.5) |
Wayne County, Michigan |
1,905 |
20.2 |
1.5 |
(17.2–23.1) |
Anoka County, Minnesota |
396 |
21.0 |
3.2 |
(14.7–27.2) |
Dakota County, Minnesota |
568 |
12.4 |
2.1 |
(8.2–16.5) |
Hennepin County, Minnesota |
2,043 |
12.6 |
1.5 |
(9.6–15.5) |
Ramsey County, Minnesota |
918 |
14.0 |
2.7 |
(8.7–19.2) |
Washington County, Minnesota |
256 |
11.7 |
2.5 |
(6.8–16.6) |
DeSoto County, Mississippi |
369 |
24.7 |
3.8 |
(17.2–32.1) |
Hinds County, Mississippi |
340 |
20.1 |
3.1 |
(14.0–26.1) |
Jackson County, Missouri |
525 |
22.9 |
2.5 |
(18.0–27.8) |
St. Louis County, Missouri |
605 |
15.3 |
2.2 |
(10.9–19.6) |
St. Louis city, Missouri |
645 |
27.3 |
3.1 |
(21.2–33.3) |
Flathead County, Montana |
700 |
18.6 |
2.2 |
(14.2–22.9) |
Lewis and Clark County, Montana |
533 |
15.8 |
2.1 |
(11.6–19.9) |
Yellowstone County, Montana |
484 |
16.3 |
2.5 |
(11.4–21.2) |
Adams County, Nebraska |
479 |
15.1 |
2.3 |
(10.5–19.6) |
Dakota County, Nebraska |
737 |
18.2 |
1.9 |
(14.4–21.9) |
Douglas County, Nebraska |
949 |
17.8 |
1.8 |
(14.2–21.3) |
Hall County, Nebraska |
586 |
13.4 |
2.0 |
(9.4–17.3) |
Lancaster County, Nebraska |
843 |
17.8 |
2.3 |
(13.2–22.3) |
Lincoln County, Nebraska |
546 |
18.1 |
2.5 |
(13.2–23.0) |
Madison County, Nebraska |
469 |
15.1 |
3.0 |
(9.2–20.9) |
Sarpy County, Nebraska |
579 |
18.0 |
2.8 |
(12.5–23.4) |
Scotts Bluff County, Nebraska |
737 |
19.8 |
2.4 |
(15.0–24.5) |
Seward County, Nebraska |
284 |
11.2 |
2.4 |
(6.4–15.9) |
Clark County, Nevada |
1,266 |
22.1 |
1.6 |
(18.9–25.2) |
Washoe County, Nevada |
1,305 |
18.5 |
1.5 |
(15.5–21.4) |
Grafton County, New Hampshire |
517 |
19.3 |
2.8 |
(13.8–24.7) |
Hillsborough County, New Hampshire |
1,417 |
16.9 |
1.5 |
(13.9–19.8) |
Merrimack County, New Hampshire |
635 |
13.2 |
2.1 |
(9.0–17.3) |
Rockingham County, New Hampshire |
1,017 |
15.1 |
1.5 |
(12.1–18.0) |
Strafford County, New Hampshire |
587 |
20.1 |
2.4 |
(15.3–24.8) |
Atlantic County, New Jersey |
921 |
19.4 |
1.9 |
(15.6–23.1) |
Bergen County, New Jersey |
624 |
16.1 |
2.2 |
(11.7–20.4) |
Burlington County, New Jersey |
565 |
13.1 |
1.7 |
(9.7–16.4) |
Camden County, New Jersey |
604 |
23.6 |
2.6 |
(18.5–28.6) |
Cape May County, New Jersey |
521 |
20.6 |
2.5 |
(15.7–25.5) |
Essex County, New Jersey |
1,011 |
14.8 |
1.7 |
(11.4–18.1) |
Gloucester County, New Jersey |
525 |
18.5 |
2.5 |
(13.6–23.4) |
Hudson County, New Jersey |
1,096 |
14.0 |
1.3 |
(11.4–16.5) |
Hunterdon County, New Jersey |
511 |
10.9 |
1.7 |
(7.5–14.2) |
Mercer County, New Jersey |
502 |
11.5 |
1.8 |
(7.9–15.0) |
Middlesex County, New Jersey |
630 |
12.8 |
1.8 |
(9.2–16.3) |
Monmouth County, New Jersey |
561 |
11.2 |
1.8 |
(7.6–14.7) |
Morris County, New Jersey |
698 |
12.3 |
2.0 |
(8.3–16.2) |
Ocean County, New Jersey |
533 |
13.7 |
2.1 |
(9.5–17.8) |
Passaic County, New Jersey |
501 |
16.1 |
2.4 |
(11.3–20.8) |
Somerset County, New Jersey |
534 |
6.8 |
1.2 |
(4.4–9.1) |
Sussex County, New Jersey |
499 |
15.9 |
2.1 |
(11.7–20.0) |
Union County, New Jersey |
517 |
12.8 |
1.9 |
(9.0–16.5) |
Warren County, New Jersey |
480 |
16.6 |
2.2 |
(12.2–20.9) |
TABLE 36. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
1,261 |
18.7 |
1.9 |
(14.9–22.4) |
Dona Ana County, New Mexico |
504 |
11.9 |
2.0 |
(7.9–15.8) |
Sandoval County, New Mexico |
521 |
13.0 |
2.2 |
(8.6–17.3) |
San Juan County, New Mexico |
684 |
20.4 |
2.3 |
(15.8–24.9) |
Santa Fe County, New Mexico |
607 |
19.8 |
2.5 |
(14.9–24.7) |
Valencia County, New Mexico |
347 |
29.8 |
3.6 |
(22.7–36.8) |
Bronx County, New York |
434 |
15.4 |
2.3 |
(10.8–19.9) |
Erie County, New York |
477 |
22.4 |
2.9 |
(16.7–28.0) |
Kings County, New York |
907 |
11.6 |
1.3 |
(9.0–14.1) |
Monroe County, New York |
380 |
12.2 |
2.2 |
(7.8–16.5) |
Nassau County, New York |
475 |
11.7 |
2.1 |
(7.5–15.8) |
New York County, New York |
1,031 |
12.7 |
1.6 |
(9.5–15.8) |
Queens County, New York |
798 |
13.0 |
1.7 |
(9.6–16.3) |
Suffolk County, New York |
592 |
15.9 |
2.1 |
(11.7–20.0) |
Westchester County, New York |
378 |
13.2 |
2.4 |
(8.4–17.9) |
Buncombe County, North Carolina |
263 |
14.7 |
3.0 |
(8.8–20.5) |
Cabarrus County, North Carolina |
305 |
16.6 |
2.8 |
(11.1–22.0) |
Catawba County, North Carolina |
293 |
17.3 |
3.2 |
(11.0–23.5) |
Durham County, North Carolina |
619 |
14.1 |
2.0 |
(10.1–18.0) |
Gaston County, North Carolina |
265 |
27.1 |
4.2 |
(18.8–35.3) |
Guilford County, North Carolina |
691 |
15.7 |
1.8 |
(12.1–19.2) |
Johnston County, North Carolina |
276 |
17.2 |
2.7 |
(11.9–22.4) |
Mecklenburg County, North Carolina |
607 |
11.7 |
1.7 |
(8.3–15.0) |
Orange County, North Carolina |
296 |
12.6 |
2.6 |
(7.5–17.6) |
Randolph County, North Carolina |
394 |
21.4 |
3.1 |
(15.3–27.4) |
Union County, North Carolina |
349 |
17.4 |
3.4 |
(10.7–24.0) |
Wake County, North Carolina |
711 |
15.3 |
2.3 |
(10.7–19.8) |
Burleigh County, North Dakota |
559 |
13.3 |
2.1 |
(9.1–17.4) |
Cass County, North Dakota |
776 |
15.3 |
2.0 |
(11.3–19.2) |
Ward County, North Dakota |
464 |
13.4 |
1.9 |
(9.6–17.1) |
Cuyahoga County, Ohio |
715 |
20.5 |
2.0 |
(16.5–24.4) |
Franklin County, Ohio |
679 |
18.3 |
1.9 |
(14.5–22.0) |
Hamilton County, Ohio |
723 |
21.7 |
2.6 |
(16.6–26.7) |
Lucas County, Ohio |
726 |
23.4 |
2.2 |
(19.0–27.7) |
Mahoning County, Ohio |
720 |
23.5 |
2.5 |
(18.6–28.4) |
Montgomery County, Ohio |
703 |
21.4 |
2.4 |
(16.6–26.1) |
Stark County, Ohio |
714 |
24.0 |
2.5 |
(19.1–28.9) |
Summit County, Ohio |
702 |
20.6 |
2.4 |
(15.8–25.3) |
Cleveland County, Oklahoma |
433 |
17.6 |
2.4 |
(12.8–22.3) |
Oklahoma County, Oklahoma |
1,438 |
23.7 |
1.6 |
(20.5–26.8) |
Tulsa County, Oklahoma |
1,517 |
23.6 |
1.5 |
(20.6–26.5) |
Clackamas County, Oregon |
449 |
15.8 |
2.4 |
(11.0–20.5) |
Lane County, Oregon |
510 |
19.5 |
2.8 |
(14.0–24.9) |
Multnomah County, Oregon |
815 |
10.9 |
1.7 |
(7.5–14.2) |
Washington County, Oregon |
583 |
12.3 |
2.2 |
(7.9–16.6) |
Allegheny County, Pennsylvania |
1,376 |
17.4 |
1.4 |
(14.6–20.1) |
Lehigh County, Pennsylvania |
282 |
14.7 |
2.4 |
(9.9–19.4) |
Luzerne County, Pennsylvania |
311 |
26.9 |
3.6 |
(19.8–33.9) |
Montgomery County, Pennsylvania |
341 |
16.8 |
3.1 |
(10.7–22.8) |
Northampton County, Pennsylvania |
257 |
17.9 |
4.2 |
(9.6–26.1) |
Philadelphia County, Pennsylvania |
1,397 |
20.7 |
1.6 |
(17.5–23.8) |
Westmoreland County, Pennsylvania |
339 |
18.4 |
2.7 |
(13.1–23.6) |
Bristol County, Rhode Island |
277 |
15.7 |
2.9 |
(10.0–21.3) |
Kent County, Rhode Island |
938 |
16.1 |
1.5 |
(13.1–19.0) |
Newport County, Rhode Island |
487 |
8.5 |
1.5 |
(5.5–11.4) |
Providence County, Rhode Island |
4,130 |
16.8 |
1.0 |
(14.8–18.7) |
Washington County, Rhode Island |
745 |
14.2 |
2.2 |
(9.8–18.5) |
Aiken County, South Carolina |
473 |
19.0 |
2.4 |
(14.2–23.7) |
Beaufort County, South Carolina |
680 |
18.3 |
2.3 |
(13.7–22.8) |
Berkeley County, South Carolina |
354 |
NA |
NA |
NA |
Charleston County, South Carolina |
670 |
12.9 |
2.2 |
(8.5–17.2) |
Greenville County, South Carolina |
494 |
15.4 |
2.8 |
(9.9–20.8) |
Horry County, South Carolina |
552 |
23.4 |
2.9 |
(17.7–29.0) |
TABLE 36. (Continued) Estimated prevalence of adults aged ≥18 years who reported ever smoking at least 100 cigarettes and who currently smoke,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
662 |
19.0 |
3.0 |
(13.1–24.8) |
Minnehaha County, South Dakota |
602 |
11.8 |
1.7 |
(8.4–15.1) |
Pennington County, South Dakota |
665 |
17.8 |
2.1 |
(13.6–21.9) |
Davidson County, Tennessee |
417 |
17.1 |
3.2 |
(10.8–23.3) |
Hamilton County, Tennessee |
386 |
13.4 |
2.4 |
(8.6–18.1) |
Knox County, Tennessee |
369 |
17.5 |
2.8 |
(12.0–22.9) |
Shelby County, Tennessee |
392 |
11.1 |
2.6 |
(6.0–16.1) |
Sullivan County, Tennessee |
461 |
20.9 |
2.8 |
(15.4–26.3) |
Bexar County, Texas |
968 |
17.5 |
1.9 |
(13.7–21.2) |
Dallas County, Texas |
392 |
15.8 |
2.7 |
(10.5–21.0) |
El Paso County, Texas |
865 |
14.4 |
1.5 |
(11.4–17.3) |
Fort Bend County, Texas |
923 |
10.6 |
1.6 |
(7.4–13.7) |
Harris County, Texas |
1,454 |
16.0 |
1.5 |
(13.0–18.9) |
Hidalgo County, Texas |
593 |
12.6 |
2.2 |
(8.2–16.9) |
Lubbock County, Texas |
757 |
22.9 |
2.7 |
(17.6–28.1) |
Midland County, Texas |
522 |
18.4 |
2.4 |
(13.6–23.1) |
Potter County, Texas |
337 |
24.1 |
3.2 |
(17.8–30.3) |
Randall County, Texas |
461 |
16.7 |
2.9 |
(11.0–22.3) |
Smith County, Texas |
665 |
21.9 |
3.3 |
(15.4–28.3) |
Tarrant County, Texas |
602 |
14.5 |
2.3 |
(9.9–19.0) |
Travis County, Texas |
757 |
9.9 |
3.1 |
(3.8–15.9) |
Val Verde County, Texas |
556 |
10.6 |
1.8 |
(7.0–14.1) |
Webb County, Texas |
914 |
15.8 |
1.6 |
(12.6–18.9) |
Wichita County, Texas |
676 |
19.8 |
2.5 |
(14.9–24.7) |
Davis County, Utah |
875 |
6.1 |
1.1 |
(3.9–8.2) |
Salt Lake County, Utah |
3,279 |
10.6 |
0.8 |
(9.0–12.1) |
Summit County, Utah |
451 |
6.9 |
1.6 |
(3.7–10.0) |
Tooele County, Utah |
566 |
15.6 |
3.1 |
(9.5–21.6) |
Utah County, Utah |
1,113 |
5.9 |
1.2 |
(3.5–8.2) |
Weber County, Utah |
773 |
10.7 |
1.5 |
(7.7–13.6) |
Chittenden County, Vermont |
1,423 |
11.8 |
1.3 |
(9.2–14.3) |
Franklin County, Vermont |
486 |
20.9 |
2.3 |
(16.3–25.4) |
Orange County, Vermont |
356 |
18.3 |
2.7 |
(13.0–23.5) |
Rutland County, Vermont |
652 |
19.0 |
2.3 |
(14.4–23.5) |
Washington County, Vermont |
668 |
14.3 |
1.8 |
(10.7–17.8) |
Windsor County, Vermont |
676 |
13.5 |
1.7 |
(10.1–16.8) |
Benton County, Washington |
388 |
10.2 |
2.0 |
(6.2–14.1) |
Clark County, Washington |
1,090 |
17.7 |
2.0 |
(13.7–21.6) |
Franklin County, Washington |
253 |
8.5 |
2.9 |
(2.8–14.1) |
King County, Washington |
3,021 |
12.2 |
0.9 |
(10.4–13.9) |
Kitsap County, Washington |
914 |
17.0 |
1.8 |
(13.4–20.5) |
Pierce County, Washington |
1,715 |
16.9 |
1.3 |
(14.3–19.4) |
Snohomish County, Washington |
1,647 |
14.0 |
1.2 |
(11.6–16.3) |
Spokane County, Washington |
1,213 |
16.6 |
1.7 |
(13.2–19.9) |
Thurston County, Washington |
775 |
18.6 |
2.1 |
(14.4–22.7) |
Yakima County, Washington |
739 |
14.9 |
1.9 |
(11.1–18.6) |
Kanawha County, West Virginia |
490 |
25.7 |
3.0 |
(19.8–31.5) |
Milwaukee County, Wisconsin |
1,216 |
22.3 |
2.5 |
(17.4–27.2) |
Laramie County, Wyoming |
907 |
22.3 |
1.9 |
(18.5–26.0) |
Natrona County, Wyoming |
767 |
25.6 |
2.4 |
(20.8–30.3) |
Median |
16.1 |
|||
Range |
5.9-29.8 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Smoked everyday or someday during the period of survey. † Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 38. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
932 |
14.4 |
2.9 |
(8.7–20.0) |
Grand Island, Nebraska |
848 |
19.4 |
2.2 |
(15.0–23.7) |
Grand Rapids-Wyoming, Michigan |
617 |
14.9 |
2.4 |
(10.1–19.6) |
Greensboro-High Point, North Carolina |
1,150 |
15.3 |
2.4 |
(10.5–20.0) |
Greenville, South Carolina |
775 |
9.9 |
2.0 |
(5.9–13.8) |
Hagerstown-Martinsburg, Maryland-West Virginia |
634 |
14.2 |
2.6 |
(9.1–19.2) |
Hartford-West Hartford-East Hartford, Connecticut |
1,990 |
16.5 |
1.5 |
(13.5–19.4) |
Hastings, Nebraska |
578 |
13.6 |
2.4 |
(8.8–18.3) |
Helena, Montana |
625 |
17.3 |
2.4 |
(12.5–22.0) |
Hickory-Morganton-Lenoir, North Carolina |
599 |
6.9 |
1.5 |
(3.9–9.8) |
Hilo, Hawaii |
1,459 |
17.9 |
1.6 |
(14.7–21.0) |
Hilton Head Island-Beaufort, South Carolina |
782 |
12.4 |
1.8 |
(8.8–15.9) |
Homosassa Springs, Florida |
520 |
10.9 |
2.4 |
(6.1–15.6) |
Honolulu, Hawaii |
2,927 |
17.4 |
1.0 |
(15.4–19.3) |
Houston-Sugar Land-Baytown, Texas |
2,683 |
15.4 |
1.4 |
(12.6–18.1) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
649 |
14.3 |
2.5 |
(9.4–19.2) |
Idaho Falls, Idaho |
662 |
8.7 |
1.6 |
(5.5–11.8) |
Indianapolis-Carmel, Indiana |
2,209 |
14.5 |
1.2 |
(12.1–16.8) |
Jackson, Mississippi |
751 |
10.4 |
2.1 |
(6.2–14.5) |
Jacksonville, Florida |
2,551 |
15.9 |
1.5 |
(12.9–18.8) |
Kahului-Wailuku, Hawaii |
1,445 |
19.4 |
1.7 |
(16.0–22.7) |
Kalispell, Montana |
690 |
16.6 |
2.2 |
(12.2–20.9) |
Kansas City, Missouri-Kansas |
3,331 |
15.7 |
1.1 |
(13.5–17.8) |
Kapaa, Hawaii |
635 |
23.0 |
2.7 |
(17.7–28.2) |
Kennewick-Richland-Pasco, Washington |
633 |
11.1 |
1.9 |
(7.3–14.8) |
Key West-Marathon, Florida |
486 |
23.0 |
2.7 |
(17.7–28.2) |
Kingsport-Bristol, Tennessee-Virginia |
632 |
6.1 |
2.7 |
(0.8–11.3) |
Knoxville, Tennessee |
510 |
3.6 |
1.7 |
(0.2–6.9) |
Lake City, Florida |
556 |
15.2 |
2.5 |
(10.3–20.1) |
Lakeland-Winter Haven, Florida |
505 |
12.8 |
2.4 |
(8.0–17.5) |
Laredo, Texas |
900 |
15.8 |
1.8 |
(12.2–19.3) |
Las Cruces, New Mexico |
497 |
8.4 |
1.8 |
(4.8–11.9) |
Las Vegas-Paradise, Nevada |
1,244 |
17.5 |
1.6 |
(14.3–20.6) |
Lebanon, New Hampshire-Vermont |
1,523 |
18.0 |
1.6 |
(14.8–21.1) |
Lewiston, Idaho-Washington |
591 |
14.0 |
2.2 |
(9.6–18.3) |
Lewiston-Auburn, Maine |
496 |
11.0 |
1.9 |
(7.2–14.7) |
Lincoln, Nebraska |
1,126 |
22.7 |
2.4 |
(17.9–27.4) |
Little Rock-North Little Rock, Arkansas |
814 |
10.8 |
1.8 |
(7.2–14.3) |
Los Angeles-Long Beach-Glendale, California† |
2,435 |
15.4 |
1.1 |
(13.2–17.5) |
Louisville, Kentucky-Indiana |
883 |
16.3 |
2.0 |
(12.3–20.2) |
Lubbock, Texas |
773 |
14.4 |
2.3 |
(9.8–18.9) |
Manchester-Nashua, New Hampshire |
1,397 |
14.3 |
1.5 |
(11.3–17.2) |
McAllen-Edinburg-Mission, Texas |
591 |
13.4 |
2.2 |
(9.0–17.7) |
Memphis, Tennessee-Mississippi-Arkansas |
1,129 |
10.3 |
2.3 |
(5.7–14.8) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,006 |
13.3 |
1.9 |
(9.5–17.0) |
Midland, Texas |
507 |
15.3 |
2.5 |
(10.4–20.2) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,467 |
18.9 |
2.0 |
(14.9–22.8) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
4,708 |
18.1 |
1.2 |
(15.7–20.4) |
Minot, North Dakota |
548 |
18.4 |
2.3 |
(13.8–22.9) |
Mobile, Alabama |
663 |
10.9 |
2.1 |
(6.7–15.0) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
544 |
17.2 |
3.0 |
(11.3–23.0) |
Naples-Marco Island, Florida |
505 |
15.6 |
2.8 |
(10.1–21.0) |
Nashville-Davidson-Murfreesboro, Tennessee |
799 |
7.9 |
2.0 |
(3.9–11.8) |
Nassau-Suffolk, New York* |
1,048 |
15.1 |
1.6 |
(11.9–18.2) |
Newark-Union, New Jersey-Pennsylvania† |
3,149 |
12.6 |
0.9 |
(10.8–14.3) |
New Haven-Milford, Connecticut |
1,643 |
16.5 |
1.9 |
(12.7–20.2) |
New Orleans-Metairie-Kenner, Louisiana |
1,504 |
16.8 |
1.7 |
(13.4–20.1) |
New York-White Plains-Wayne, New York-New Jersey† |
5,968 |
14.5 |
0.7 |
(13.1–15.8) |
Norfolk, Nebraska |
663 |
20.2 |
2.4 |
(15.4–24.9) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
569 1,103 |
17.6 14.6 |
2.6 1.7 |
(12.5–22.6) (11.2 – 17.9) |
Ocala, Florida |
575 |
11.2 |
1.9 |
(7.4–14.9) |
Ocean City, New Jersey |
486 |
15.7 |
2.2 |
(11.3–20.0) |
TABLE 38. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
1,686 |
8.3 |
1.0 |
(6.3–10.2) |
Oklahoma City, Oklahoma |
2,447 |
13.3 |
1.1 |
(11.1–15.4) |
Olympia, Washington |
766 |
13.5 |
1.8 |
(9.9–17.0) |
Omaha-Council Bluffs, Nebraska-Iowa |
2,330 |
19.5 |
1.3 |
(16.9–22.0) |
Orlando-Kissimmee, Florida |
2,610 |
13.8 |
1.3 |
(11.2–16.3) |
Palm Bay-Melbourne-Titusville, Florida |
511 |
12.8 |
2.1 |
(8.6–16.9) |
Panama City-Lynn Haven, Florida |
537 |
13.3 |
2.3 |
(8.7–17.8) |
Peabody, Massachusetts |
2,003 |
16.7 |
1.7 |
(13.3 – 20.0) |
Pensacola-Ferry Pass-Brent, Florida |
995 |
15.2 |
2.0 |
(11.2–19.1) |
Philadelphia, Pennsylvania† |
2,322 |
14.7 |
1.3 |
(12.1–17.2) |
Phoenix-Mesa-Scottsdale, Arizona |
1,654 |
15.9 |
1.6 |
(12.7–19.0) |
Pittsburgh, Pennsylvania |
2,378 |
17.8 |
1.3 |
(15.2–20.3) |
Portland-South Portland-Biddeford, Maine |
2,577 |
15.8 |
1.1 |
(13.6–17.9) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,300 |
14.7 |
1.1 |
(12.5–16.8) |
Port St. Lucie-Fort Pierce, Florida |
1,001 |
13.4 |
1.9 |
(9.6–17.1) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
9,229 |
17.6 |
0.8 |
(16.0–19.1) |
Provo-Orem, Utah |
1,168 |
3.8 |
0.8 |
(2.2–5.3) |
Raleigh-Cary, North Carolina |
1,006 |
12.0 |
1.5 |
(9.0–14.9) |
Rapid City, South Dakota |
831 |
12.7 |
1.6 |
(9.5–15.8) |
Reno-Sparks, Nevada |
1,308 |
18.1 |
1.6 |
(14.9–21.2) |
Richmond, Virginia |
773 |
17.5 |
2.9 |
(11.8–23.1) |
Riverside-San Bernardino-Ontario, California |
1,778 |
17.2 |
1.4 |
(14.4–19.9) |
Rochester, New York |
559 |
13.0 |
2.2 |
(8.6–17.3) |
Rockingham County-Strafford County, New Hampshire† |
1,579 |
16.4 |
1.5 |
(13.4–19.3) |
Rutland, Vermont |
647 |
14.7 |
2.1 |
(10.5–18.8) |
Sacramento-Arden-Arcade-Roseville, California |
1,223 |
14.3 |
1.6 |
(11.1–17.4) |
St. Louis, Missouri-Illinois |
1,719 |
18.0 |
1.7 |
(14.6–21.3) |
Salt Lake City, Utah |
4,263 |
11.4 |
0.7 |
(10.0–12.7) |
San Antonio, Texas |
1,111 |
19.4 |
2.1 |
(15.2–23.5) |
San Diego-Carlsbad-San Marcos, California |
1,607 |
17.7 |
1.4 |
(14.9–20.4) |
San Francisco-Oakland-Fremont, California |
2,226 |
14.0 |
1.0 |
(12.0–15.9) |
San Jose-Sunnyvale-Santa Clara, California |
868 |
11.0 |
1.5 |
(8.0–13.9) |
Santa Ana-Anaheim-Irvine, California* |
1,360 |
14.9 |
1.4 |
(12.1–17.6) |
Santa Fe, New Mexico |
600 |
13.8 |
2.1 |
(9.6–17.9) |
Scottsbluff, Nebraska |
754 |
11.9 |
2.3 |
(7.3–16.4) |
Scranton-Wilkes-Barre, Pennsylvania |
544 |
21.4 |
2.6 |
(16.3–26.4) |
Seaford, Delaware |
1,229 |
16.8 |
1.8 |
(13.2–20.3) |
Seattle-Bellevue-Everett, Washington† |
4,610 |
16.9 |
0.9 |
(15.1–18.6) |
Sebring, Florida |
511 |
11.5 |
2.4 |
(6.7–16.2) |
Shreveport-Bossier City, Louisiana |
670 |
14.5 |
2.1 |
(10.3–18.6) |
Sioux City, Iowa-Nebraska-South Dakota |
1,202 |
18.1 |
2.5 |
(13.2–23.0) |
Sioux Falls, South Dakota |
828 |
19.0 |
2.1 |
(14.8–23.1) |
Spokane, Washington |
1,196 |
14.9 |
1.5 |
(11.9–17.8) |
Springfield, Massachusetts |
1,932 |
19.5 |
2.2 |
(15.1–23.8) |
Tacoma, Washington† |
1,674 |
14.2 |
1.1 |
(12.0–16.3) |
Tallahassee, Florida |
2,001 |
13.7 |
2.1 |
(9.5–17.8) |
Tampa-St. Petersburg-Clearwater, Florida |
1,994 |
16.1 |
1.7 |
(12.7–19.4) |
Toledo, Ohio |
839 |
17.1 |
2.2 |
(12.7–21.4) |
Topeka, Kansas |
819 |
16.5 |
2.0 |
(12.5–20.4) |
Trenton-Ewing, New Jersey |
484 |
14.1 |
2.4 |
(9.3–18.8) |
Tucson, Arizona |
690 |
16.8 |
2.8 |
(11.3–22.2) |
Tulsa, Oklahoma |
2,110 |
14.4 |
1.3 |
(11.8–16.9) |
Tuscaloosa, Alabama |
510 |
13.4 |
2.9 |
(7.7–19.0) |
Twin Falls, Idaho |
535 |
11.1 |
2.3 |
(6.5–15.6) |
Tyler, Texas |
662 |
10.4 |
2.2 |
(6.0–14.7) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,060 |
19.9 |
2.5 |
(15.0–24.8) |
Warren-Troy-Farmington Hills, Michigan† |
1,784 |
15.6 |
1.3 |
(13.0–18.1) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia† |
6,285 |
14.5 |
1.7 |
(11.1–17.8) |
Wauchula, Florida |
520 |
11.0 |
3.1 |
(4.9–17.0) |
West Palm Beach-Boca Raton-Boynton Beach, Florida† |
543 |
11.6 |
2.2 |
(7.2–15.9) |
Wichita, Kansas |
1,826 |
15.5 |
1.4 |
(12.7–18.2) |
Wichita Falls, Texas |
818 |
12.1 |
2.1 |
(7.9–16.2) |
Wilmington, Delaware-Maryland-New Jersey† |
2,187 |
19.2 |
1.3 |
(16.6–21.7) |
TABLE 38. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
1,987 |
21.2 |
1.9 |
(17.4–24.9) |
Yakima, Washington |
724 |
13.5 |
1.9 |
(9.7–17.2) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,030 |
16.5 |
2.8 |
(11.0–21.9) |
Median |
14.7 |
|||
Range |
3.6-23.0 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * For males: having at least five drinks on at least one occasion, for females: having at least four drinks on at least one occasion. † Metropolitan division. |
TABLE 39. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
486 |
23.0 |
2.7 |
(17.7–28.2) |
Nassau County, Florida |
512 |
10.9 |
2.0 |
(6.9–14.8) |
Orange County, Florida |
984 |
13.0 |
1.8 |
(9.4–16.5) |
Osceola County, Florida |
560 |
9.5 |
2.0 |
(5.5–13.4) |
Palm Beach County, Florida |
543 |
11.6 |
2.2 |
(7.2–15.9) |
Pasco County, Florida |
533 |
18.6 |
3.3 |
(12.1–25.0) |
Pinellas County, Florida |
491 |
16.9 |
3.0 |
(11.0–22.7) |
Polk County, Florida |
505 |
12.8 |
2.4 |
(8.0–17.5) |
St. Johns County, Florida |
516 |
20.1 |
2.7 |
(14.8–25.3) |
St. Lucie County, Florida |
494 |
11.4 |
2.2 |
(7.0–15.7) |
Santa Rosa County, Florida |
485 |
15.1 |
2.4 |
(10.3–19.8) |
Sarasota County, Florida |
592 |
13.9 |
2.3 |
(9.3–18.4) |
Seminole County, Florida |
474 |
15.8 |
2.4 |
(11.0–20.5) |
Volusia County, Florida |
843 |
12.5 |
2.0 |
(8.5–16.4) |
Wakulla County, Florida |
521 |
16.1 |
2.7 |
(10.8–21.3) |
Cobb County, Georgia |
243 |
9.6 |
2.5 |
(4.7–14.5) |
DeKalb County, Georgia |
332 |
12.7 |
2.9 |
(7.0–18.3) |
Fulton County, Georgia |
318 |
17.7 |
3.3 |
(11.2–24.1) |
Gwinnett County, Georgia |
244 |
10.9 |
2.4 |
(6.1–15.6) |
Hawaii County, Hawaii |
1,459 |
17.9 |
1.6 |
(14.7–21.0) |
Honolulu County, Hawaii |
2,927 |
17.4 |
1.0 |
(15.4–19.3) |
Kauai County, Hawaii |
635 |
23.0 |
2.7 |
(17.7–28.2) |
Maui County, Hawaii |
1,445 |
19.4 |
1.7 |
(16.0–22.7) |
Ada County, Idaho |
847 |
13.2 |
1.9 |
(9.4–16.9) |
Bonneville County, Idaho |
520 |
8.5 |
1.7 |
(5.1–11.8) |
Canyon County, Idaho |
609 |
10.5 |
1.6 |
(7.3–13.6) |
Kootenai County, Idaho |
558 |
14.3 |
2.5 |
(9.4–19.2) |
Nez Perce County, Idaho |
375 |
13.4 |
2.6 |
(8.3–18.4) |
Twin Falls County, Idaho |
431 |
8.1 |
1.9 |
(4.3–11.8) |
Cook County, Illinois |
2,853 |
18.8 |
1.1 |
(16.6–20.9) |
DuPage County, Illinois |
254 |
14.2 |
3.1 |
(8.1–20.2) |
Allen County, Indiana |
573 |
12.1 |
1.8 |
(8.5–15.6) |
Lake County, Indiana |
979 |
16.2 |
2.8 |
(10.7–21.6) |
Marion County, Indiana |
1,431 |
15.5 |
1.7 |
(12.1–18.8) |
Linn County, Iowa |
488 |
16.2 |
2.3 |
(11.6–20.7) |
Polk County, Iowa |
760 |
19.3 |
2.1 |
(15.1–23.4) |
Johnson County, Kansas |
1,398 |
18.4 |
1.5 |
(15.4–21.3) |
Sedgwick County, Kansas |
1,415 |
16.1 |
1.6 |
(12.9–19.2) |
Shawnee County, Kansas |
615 |
15.9 |
2.4 |
(11.1–20.6) |
Wyandotte County, Kansas |
600 |
15.7 |
2.8 |
(10.2–21.1) |
Jefferson County, Kentucky |
395 |
15.1 |
2.6 |
(10.0–20.1) |
Caddo Parish, Louisiana |
443 |
14.9 |
2.5 |
(10.0–19.8) |
East Baton Rouge Parish, Louisiana |
712 |
14.4 |
2.0 |
(10.4–18.3) |
Jefferson Parish, Louisiana |
582 |
14.1 |
2.0 |
(10.1–18.0) |
Orleans Parish, Louisiana |
371 |
14.5 |
2.7 |
(9.2–19.7) |
St. Tammany Parish, Louisiana |
361 |
21.8 |
3.7 |
(14.5–29.0) |
Androscoggin County, Maine |
496 |
11.0 |
1.9 |
(7.2–14.7) |
Cumberland County, Maine |
1,366 |
15.5 |
1.5 |
(12.5–18.4) |
Kennebec County, Maine |
644 |
15.8 |
2.4 |
(11.0–20.5) |
Penobscot County, Maine |
684 |
14.6 |
1.9 |
(10.8–18.3) |
Sagadahoc County, Maine |
293 |
13.9 |
2.4 |
(9.1–18.6) |
York County, Maine |
918 |
16.4 |
1.8 |
(12.8–19.9) |
Anne Arundel County, Maryland |
593 |
19.8 |
2.5 |
(14.9–24.7) |
Baltimore County, Maryland |
1,020 |
13.2 |
1.7 |
(9.8–16.5) |
Cecil County, Maryland |
268 |
16.8 |
3.2 |
(10.5–23.0) |
Charles County, Maryland |
345 |
12.0 |
2.1 |
(7.8–16.1) |
Frederick County, Maryland |
566 |
17.0 |
2.2 |
(12.6–21.3) |
Harford County, Maryland |
274 |
16.9 |
3.0 |
(11.0–22.7) |
Howard County, Maryland |
334 |
14.9 |
2.8 |
(9.4–20.3) |
Montgomery County, Maryland |
1,035 |
13.3 |
1.5 |
(10.3–16.2) |
Prince George´s County, Maryland |
770 |
8.0 |
1.2 |
(5.6–10.3) |
Queen Anne´s County, Maryland |
287 |
21.5 |
3.1 |
(15.4–27.5) |
Washington County, Maryland |
397 |
13.3 |
2.6 |
(8.2–18.3) |
TABLE 39. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
510 |
14.5 |
2.6 |
(9.4–19.5) |
Bristol County, Massachusetts |
2,719 |
21.3 |
2.2 |
(16.9–25.6) |
Essex County, Massachusetts |
2,003 |
16.7 |
1.7 |
(13.3–20.0) |
Hampden County, Massachusetts |
1,498 |
21.0 |
2.8 |
(15.5–26.4) |
Hampshire County, Massachusetts |
260 |
20.8 |
4.4 |
(12.1–29.4) |
Middlesex County, Massachusetts |
2,861 |
15.2 |
1.3 |
(12.6–17.7) |
Norfolk County, Massachusetts |
813 |
17.6 |
2.0 |
(13.6–21.5) |
Plymouth County, Massachusetts |
653 |
21.5 |
2.7 |
(16.2–26.7) |
Suffolk County, Massachusetts |
1,661 |
24.0 |
2.6 |
(18.9–29.0) |
Worcester County, Massachusetts |
1,987 |
21.2 |
1.9 |
(17.4–24.9) |
Kent County, Michigan |
440 |
15.8 |
2.8 |
(10.3–21.2) |
Macomb County, Michigan |
511 |
13.1 |
1.9 |
(9.3–16.8) |
Oakland County, Michigan |
926 |
16.6 |
1.9 |
(12.8–20.3) |
Wayne County, Michigan |
1,889 |
13.8 |
1.3 |
(11.2–16.3) |
Anoka County, Minnesota |
382 |
16.0 |
3.1 |
(9.9–22.0) |
Dakota County, Minnesota |
559 |
14.6 |
2.2 |
(10.2–18.9) |
Hennepin County, Minnesota |
1,981 |
16.7 |
1.9 |
(12.9–20.4) |
Ramsey County, Minnesota |
889 |
12.2 |
2.6 |
(7.1–17.2) |
Washington County, Minnesota |
248 |
22.5 |
4.0 |
(14.6–30.3) |
DeSoto County, Mississippi |
364 |
10.2 |
2.5 |
(5.3–15.1) |
Hinds County, Mississippi |
333 |
10.2 |
3.1 |
(4.1–16.2) |
Jackson County, Missouri |
515 |
10.6 |
1.8 |
(7.0–14.1) |
St. Louis County, Missouri |
588 |
18.2 |
2.9 |
(12.5–23.8) |
St. Louis city, Missouri |
634 |
15.5 |
2.1 |
(11.3–19.6) |
Flathead County, Montana |
690 |
16.6 |
2.2 |
(12.2–20.9) |
Lewis and Clark County, Montana |
519 |
18.1 |
2.6 |
(13.0–23.1) |
Yellowstone County, Montana |
478 |
15.5 |
2.5 |
(10.6–20.4) |
Adams County, Nebraska |
471 |
15.7 |
2.8 |
(10.2–21.1) |
Dakota County, Nebraska |
730 |
16.4 |
2.0 |
(12.4–20.3) |
Douglas County, Nebraska |
939 |
18.0 |
1.8 |
(14.4–21.5) |
Hall County, Nebraska |
578 |
20.1 |
2.8 |
(14.6–25.5) |
Lancaster County, Nebraska |
841 |
23.1 |
2.6 |
(18.0–28.1) |
Lincoln County, Nebraska |
537 |
16.1 |
2.6 |
(11.0–21.1) |
Madison County, Nebraska |
458 |
17.3 |
2.7 |
(12.0–22.5) |
Sarpy County, Nebraska |
573 |
22.4 |
3.0 |
(16.5–28.2) |
Scotts Bluff County, Nebraska |
731 |
11.9 |
2.2 |
(7.5–16.2) |
Seward County, Nebraska |
285 |
17.0 |
3.0 |
(11.1–22.8) |
Clark County, Nevada |
1,244 |
17.5 |
1.6 |
(14.3–20.6) |
Washoe County, Nevada |
1,288 |
18.0 |
1.6 |
(14.8–21.1) |
Grafton County, New Hampshire |
506 |
17.6 |
2.7 |
(12.3–22.8) |
Hillsborough County, New Hampshire |
1,397 |
14.3 |
1.5 |
(11.3–17.2) |
Merrimack County, New Hampshire |
631 |
14.7 |
2.3 |
(10.1–19.2) |
Rockingham County, New Hampshire |
999 |
16.0 |
1.7 |
(12.6–19.3) |
Strafford County, New Hampshire |
580 |
16.5 |
2.5 |
(11.6–21.4) |
Atlantic County, New Jersey |
876 |
15.1 |
1.8 |
(11.5–18.6) |
Bergen County, New Jersey |
587 |
17.7 |
2.3 |
(13.1–22.2) |
Burlington County, New Jersey |
538 |
15.2 |
2.1 |
(11.0–19.3) |
Camden County, New Jersey |
580 |
16.8 |
2.3 |
(12.2–21.3) |
Cape May County, New Jersey |
486 |
15.7 |
2.2 |
(11.3–20.0) |
Essex County, New Jersey |
958 |
11.7 |
1.4 |
(8.9–14.4) |
Gloucester County, New Jersey |
497 |
18.7 |
2.6 |
(13.6–23.7) |
Hudson County, New Jersey |
1,040 |
14.5 |
1.5 |
(11.5–17.4) |
Hunterdon County, New Jersey |
491 |
15.9 |
2.5 |
(11.0–20.8) |
Mercer County, New Jersey |
484 |
14.1 |
2.4 |
(9.3–18.8) |
Middlesex County, New Jersey |
608 |
10.6 |
1.6 |
(7.4–13.7) |
Monmouth County, New Jersey |
522 |
14.7 |
2.2 |
(10.3–19.0) |
Morris County, New Jersey |
668 |
10.4 |
1.5 |
(7.4–13.3) |
Ocean County, New Jersey |
509 |
11.7 |
2.1 |
(7.5–15.8) |
Passaic County, New Jersey |
471 |
13.7 |
2.5 |
(8.8–18.6) |
Somerset County, New Jersey |
514 |
13.8 |
2.0 |
(9.8–17.7) |
Sussex County, New Jersey |
478 |
19.9 |
2.6 |
(14.8–24.9) |
Union County, New Jersey |
495 |
14.4 |
2.1 |
(10.2–18.5) |
Warren County, New Jersey |
456 |
12.0 |
1.9 |
(8.2–15.7) |
TABLE 39. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
1,253 |
10.4 |
1.5 |
(7.4–13.3) |
Dona Ana County, New Mexico |
497 |
8.4 |
1.8 |
(4.8–11.9) |
Sandoval County, New Mexico |
510 |
6.9 |
1.9 |
(3.1–10.6) |
San Juan County, New Mexico |
675 |
10.8 |
2.1 |
(6.6–14.9) |
Santa Fe County, New Mexico |
600 |
13.8 |
2.1 |
(9.6–17.9) |
Valencia County, New Mexico |
342 |
12.1 |
2.8 |
(6.6–17.5) |
Bronx County, New York |
427 |
12.3 |
2.4 |
(7.5–17.0) |
Erie County, New York |
469 |
18.3 |
2.7 |
(13.0–23.5) |
Kings County, New York |
885 |
10.8 |
1.4 |
(8.0–13.5) |
Monroe County, New York |
376 |
13.2 |
2.5 |
(8.3–18.1) |
Nassau County, New York |
471 |
15.1 |
2.4 |
(10.3–19.8) |
New York County, New York |
1,015 |
18.4 |
2.0 |
(14.4–22.3) |
Queens County, New York |
772 |
13.0 |
1.9 |
(9.2–16.7) |
Suffolk County, New York |
577 |
15.7 |
2.3 |
(11.1–20.2) |
Westchester County, New York |
379 |
22.4 |
3.2 |
(16.1–28.6) |
Buncombe County, North Carolina |
260 |
10.6 |
2.7 |
(5.3–15.8) |
Cabarrus County, North Carolina |
304 |
10.3 |
2.8 |
(4.8–15.7) |
Catawba County, North Carolina |
293 |
9.9 |
3.1 |
(3.8–15.9) |
Durham County, North Carolina |
614 |
15.2 |
2.4 |
(10.4–19.9) |
Gaston County, North Carolina |
262 |
8.0 |
2.1 |
(3.8–12.1) |
Guilford County, North Carolina |
689 |
13.9 |
2.1 |
(9.7–18.0) |
Johnston County, North Carolina |
272 |
9.4 |
2.0 |
(5.4–13.3) |
Mecklenburg County, North Carolina |
593 |
15.0 |
2.4 |
(10.2–19.7) |
Orange County, North Carolina |
294 |
17.7 |
3.1 |
(11.6–23.7) |
Randolph County, North Carolina |
393 |
9.0 |
2.3 |
(4.4–13.5) |
Union County, North Carolina |
343 |
14.2 |
2.7 |
(8.9–19.4) |
Wake County, North Carolina |
695 |
13.1 |
2.0 |
(9.1–17.0) |
Burleigh County, North Dakota |
550 |
17.1 |
2.5 |
(12.2–22.0) |
Cass County, North Dakota |
769 |
20.5 |
2.4 |
(15.7–25.2) |
Ward County, North Dakota |
459 |
19.2 |
2.7 |
(13.9–24.4) |
Cuyahoga County, Ohio |
692 |
15.2 |
2.1 |
(11.0–19.3) |
Franklin County, Ohio |
664 |
15.2 |
2.3 |
(10.6–19.7) |
Hamilton County, Ohio |
710 |
18.8 |
2.6 |
(13.7–23.8) |
Lucas County, Ohio |
708 |
15.0 |
1.8 |
(11.4–18.5) |
Mahoning County, Ohio |
708 |
15.0 |
2.4 |
(10.2–19.7) |
Montgomery County, Ohio |
689 |
15.4 |
2.6 |
(10.3–20.4) |
Stark County, Ohio |
694 |
16.6 |
2.3 |
(12.0–21.1) |
Summit County, Ohio |
691 |
20.4 |
3.3 |
(13.9–26.8) |
Cleveland County, Oklahoma |
429 |
16.9 |
2.8 |
(11.4–22.3) |
Oklahoma County, Oklahoma |
1,419 |
12.9 |
1.4 |
(10.1–15.6) |
Tulsa County, Oklahoma |
1,495 |
14.1 |
1.4 |
(11.3–16.8) |
Clackamas County, Oregon |
430 |
12.7 |
2.4 |
(7.9–17.4) |
Lane County, Oregon |
501 |
13.0 |
2.5 |
(8.1–17.9) |
Multnomah County, Oregon |
788 |
15.3 |
2.0 |
(11.3–19.2) |
Washington County, Oregon |
566 |
15.3 |
2.3 |
(10.7–19.8) |
Allegheny County, Pennsylvania |
1,354 |
18.8 |
1.7 |
(15.4–22.1) |
Lehigh County, Pennsylvania |
275 |
16.3 |
2.9 |
(10.6–21.9) |
Luzerne County, Pennsylvania |
308 |
21.4 |
3.5 |
(14.5–28.2) |
Montgomery County, Pennsylvania |
341 |
17.0 |
3.2 |
(10.7–23.2) |
Northampton County, Pennsylvania |
254 |
8.9 |
2.4 |
(4.1–13.6) |
Philadelphia County, Pennsylvania |
1,379 |
16.1 |
1.6 |
(12.9–19.2) |
Westmoreland County, Pennsylvania |
328 |
16.3 |
3.0 |
(10.4–22.1) |
Bristol County, Rhode Island |
277 |
9.4 |
2.4 |
(4.6–14.1) |
Kent County, Rhode Island |
928 |
15.6 |
1.7 |
(12.2–18.9) |
Newport County, Rhode Island |
481 |
17.6 |
2.6 |
(12.5–22.6) |
Providence County, Rhode Island |
4,088 |
15.9 |
1.0 |
(13.9–17.8) |
Washington County, Rhode Island |
736 |
19.2 |
2.5 |
(14.3–24.1) |
Aiken County, South Carolina |
463 |
12.8 |
2.2 |
(8.4–17.1) |
Beaufort County, South Carolina |
661 |
11.4 |
1.8 |
(7.8–14.9) |
Berkeley County, South Carolina |
347 |
11.5 |
2.9 |
(5.8–17.1) |
Charleston County, South Carolina |
659 |
18.6 |
2.9 |
(12.9–24.2) |
Greenville County, South Carolina |
492 |
10.0 |
2.1 |
(5.8–14.1) |
Horry County, South Carolina |
544 |
17.2 |
3.0 |
(11.3–23.0) |
TABLE 39. (Continued) Estimated prevalence of adults aged ≥18 years who reported binge drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
651 |
17.3 |
3.4 |
(10.6–23.9) |
Minnehaha County, South Dakota |
597 |
18.7 |
2.5 |
(13.8–23.6) |
Pennington County, South Dakota |
653 |
12.9 |
1.9 |
(9.1–16.6) |
Davidson County, Tennessee |
396 |
7.0 |
2.0 |
(3.0–10.9) |
Hamilton County, Tennessee |
369 |
4.3 |
1.4 |
(1.5–7.0) |
Knox County, Tennessee |
357 |
NA |
NA |
NA |
Shelby County, Tennessee |
378 |
10.8 |
2.9 |
(5.1–16.4) |
Sullivan County, Tennessee |
444 |
7.4 |
1.9 |
(3.6–11.1) |
Bexar County, Texas |
953 |
19.7 |
2.1 |
(15.5–23.8) |
Dallas County, Texas |
386 |
10.9 |
2.2 |
(6.5–15.2) |
El Paso County, Texas |
856 |
14.3 |
1.8 |
(10.7–17.8) |
Fort Bend County, Texas |
913 |
13.4 |
1.9 |
(9.6–17.1) |
Harris County, Texas |
1,424 |
14.3 |
1.5 |
(11.3–17.2) |
Hidalgo County, Texas |
591 |
13.4 |
2.2 |
(9.0–17.7) |
Lubbock County, Texas |
749 |
14.3 |
2.3 |
(9.7–18.8) |
Midland County, Texas |
507 |
15.3 |
2.5 |
(10.4–20.2) |
Potter County, Texas |
332 |
16.8 |
3.3 |
(10.3–23.2) |
Randall County, Texas |
457 |
11.2 |
2.5 |
(6.3–16.1) |
Smith County, Texas |
662 |
10.4 |
2.2 |
(6.0–14.7) |
Tarrant County, Texas |
597 |
15.3 |
2.6 |
(10.2–20.3) |
Travis County, Texas |
741 |
19.2 |
3.9 |
(11.5–26.8) |
Val Verde County, Texas |
548 |
8.6 |
1.7 |
(5.2–11.9) |
Webb County, Texas |
900 |
15.8 |
1.8 |
(12.2–19.3) |
Wichita County, Texas |
669 |
10.8 |
2.1 |
(6.6–14.9) |
Davis County, Utah |
873 |
6.9 |
1.3 |
(4.3–9.4) |
Salt Lake County, Utah |
3,253 |
11.4 |
0.8 |
(9.8–12.9) |
Summit County, Utah |
446 |
16.1 |
2.3 |
(11.5–20.6) |
Tooele County, Utah |
564 |
8.3 |
1.5 |
(5.3–11.2) |
Utah County, Utah |
1,106 |
3.8 |
0.9 |
(2.0–5.5) |
Weber County, Utah |
768 |
10.1 |
1.5 |
(7.1–13.0) |
Chittenden County, Vermont |
1,416 |
19.4 |
1.8 |
(15.8–22.9) |
Franklin County, Vermont |
479 |
18.7 |
2.3 |
(14.1–23.2) |
Orange County, Vermont |
349 |
18.5 |
3.1 |
(12.4–24.5) |
Rutland County, Vermont |
647 |
14.7 |
2.1 |
(10.5–18.8) |
Washington County, Vermont |
659 |
18.3 |
2.1 |
(14.1–22.4) |
Windsor County, Vermont |
668 |
17.5 |
2.0 |
(13.5–21.4) |
Benton County, Washington |
384 |
8.5 |
1.9 |
(4.7–12.2) |
Clark County, Washington |
1,067 |
14.2 |
2.1 |
(10.0–18.3) |
Franklin County, Washington |
249 |
17.3 |
4.0 |
(9.4–25.1) |
King County, Washington |
2,990 |
18.2 |
1.1 |
(16.0–20.3) |
Kitsap County, Washington |
900 |
14.7 |
1.7 |
(11.3–18.0) |
Pierce County, Washington |
1,674 |
14.5 |
1.2 |
(12.1–16.8) |
Snohomish County, Washington |
1,620 |
15.4 |
1.3 |
(12.8–17.9) |
Spokane County, Washington |
1,196 |
14.9 |
1.5 |
(11.9–17.8) |
Thurston County, Washington |
766 |
13.5 |
1.8 |
(9.9–17.0) |
Yakima County, Washington |
724 |
13.5 |
1.9 |
(9.7–17.2) |
Kanawha County, West Virginia |
488 |
10.3 |
2.4 |
(5.5–15.0) |
Milwaukee County, Wisconsin |
1,159 |
16.7 |
2.2 |
(12.3–21.0) |
Laramie County, Wyoming |
902 |
12.6 |
1.6 |
(9.4–15.7) |
Natrona County, Wyoming |
756 |
16.5 |
2.3 |
(11.9–21.0) |
Median |
15.1 |
|||
Range |
3.8-24.0 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * For males: having at least five drinks on at least one occasion, for females: having at least four drinks on at least one occasion. † Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 41. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
930 |
4.6 |
1.2 |
(2.2–6.9) |
Grand Island, Nebraska |
851 |
5.5 |
1.2 |
(3.1–7.8) |
Grand Rapids-Wyoming, Michigan |
615 |
5.5 |
1.3 |
(2.9–8.0) |
Greensboro-High Point, North Carolina |
1,142 |
3.4 |
0.7 |
(2.0–4.7) |
Greenville, South Carolina |
767 |
2.6 |
0.7 |
(1.2–3.9) |
Hagerstown-Martinsburg, Maryland-West Virginia |
632 |
3.8 |
1.1 |
(1.6–5.9) |
Hartford-West Hartford-East Hartford, Connecticut |
1,966 |
3.6 |
0.7 |
(2.2–4.9) |
Hastings, Nebraska |
579 |
2.9 |
0.8 |
(1.3–4.4) |
Helena, Montana |
621 |
5.2 |
1.2 |
(2.8–7.5) |
Hickory-Morganton-Lenoir, North Carolina |
590 |
1.3 |
0.6 |
(0.1–2.4) |
Hilo, Hawaii |
1,462 |
7.6 |
1.0 |
(5.6–9.5) |
Hilton Head Island-Beaufort, South Carolina |
780 |
6.5 |
0.9 |
(4.7–8.2) |
Homosassa Springs, Florida |
517 |
5.8 |
1.4 |
(3.0–8.5) |
Honolulu, Hawaii |
2,927 |
6.3 |
0.6 |
(5.1–7.4) |
Houston-Sugar Land-Baytown, Texas |
2,657 |
6.1 |
1.1 |
(3.9–8.2) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
645 |
4.3 |
1.1 |
(2.1–6.4) |
Idaho Falls, Idaho |
658 |
1.6 |
0.5 |
(0.6–2.5) |
Indianapolis-Carmel, Indiana |
2,193 |
4.6 |
0.7 |
(3.2–5.9) |
Jackson, Mississippi |
747 |
2.6 |
0.7 |
(1.2–3.9) |
Jacksonville, Florida |
2,528 |
6.4 |
0.9 |
(4.6–8.1) |
Kahului-Wailuku, Hawaii |
1,439 |
6.1 |
0.8 |
(4.5–7.6) |
Kalispell, Montana |
686 |
6.5 |
1.2 |
(4.1–8.8) |
Kansas City, Missouri-Kansas |
3,313 |
4.2 |
0.5 |
(3.2–5.1) |
Kapaa, Hawaii |
635 |
9.5 |
1.6 |
(6.3–12.6) |
Kennewick-Richland-Pasco, Washington |
625 |
2.4 |
0.5 |
(1.4–3.3) |
Key West-Marathon, Florida |
479 |
10.0 |
1.7 |
(6.6–13.3) |
Kingsport-Bristol, Tennessee-Virginia |
630 |
NA§ |
NA |
NA |
Knoxville, Tennessee |
509 |
NA |
NA |
NA |
Lake City, Florida |
553 |
5.0 |
1.6 |
(1.8–8.1) |
Lakeland-Winter Haven, Florida |
503 |
4.0 |
0.9 |
(2.2–5.7) |
Laredo, Texas |
891 |
2.1 |
0.7 |
(0.7–3.4) |
Las Cruces, New Mexico |
494 |
3.3 |
0.8 |
(1.7–4.8) |
Las Vegas-Paradise, Nevada |
1,236 |
5.1 |
0.7 |
(3.7–6.4) |
Lebanon, New Hampshire-Vermont |
1,518 |
9.2 |
1.2 |
(6.8–11.5) |
Lewiston, Idaho-Washington |
586 |
4.4 |
1.0 |
(2.4–6.3) |
Lewiston-Auburn, Maine |
492 |
2.5 |
0.7 |
(1.1–3.8) |
Lincoln, Nebraska |
1,121 |
5.9 |
1.3 |
(3.3–8.4) |
Little Rock-North Little Rock, Arkansas |
806 |
4.3 |
1.1 |
(2.1–6.4) |
Los Angeles-Long Beach-Glendale, California† |
2,435 |
5.2 |
0.7 |
(3.8–6.5) |
Louisville, Kentucky-Indiana |
874 |
5.1 |
0.9 |
(3.3–6.8) |
Lubbock, Texas |
768 |
6.2 |
2.2 |
(1.8–10.5) |
Manchester-Nashua, New Hampshire |
1,385 |
6.1 |
1.0 |
(4.1–8.0) |
McAllen-Edinburg-Mission, Texas |
586 |
4.1 |
1.4 |
(1.3–6.8) |
Memphis, Tennessee-Mississippi-Arkansas |
1,121 |
1.8 |
0.5 |
(0.8–2.7) |
Miami-Fort Lauderdale-Miami Beach, Florida |
997 |
2.5 |
0.6 |
(1.3–3.6) |
Midland, Texas |
507 |
4.7 |
1.6 |
(1.5–7.8) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,458 |
6.7 |
1.2 |
(4.3–9.0) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
4,699 |
4.1 |
0.5 |
(3.1–5.0) |
Minot, North Dakota |
546 |
4.7 |
1.1 |
(2.5–6.8) |
Mobile, Alabama |
655 |
6.2 |
1.5 |
(3.2–9.1) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
539 |
6.7 |
1.8 |
(3.1–10.2) |
Naples-Marco Island, Florida |
501 |
9.5 |
1.9 |
(5.7–13.2) |
Nashville-Davidson-Murfreesboro, Tennessee |
796 |
1.0 |
0.3 |
(0.4–1.5) |
Nassau-Suffolk, New York† |
1,047 |
5.4 |
1.0 |
(3.4–7.3) |
Newark-Union, New Jersey-Pennsylvania† |
3,123 |
3.8 |
0.4 |
(3.0–4.5) |
New Haven-Milford, Connecticut |
1,631 |
5.5 |
1.0 |
(3.5–7.4) |
New Orleans-Metairie-Kenner, Louisiana |
1,479 |
5.4 |
0.8 |
(3.8–6.9) |
New York-White Plains-Wayne, New York-New Jersey† |
5,926 |
4.0 |
0.4 |
(3.2–4.7) |
Norfolk, Nebraska |
660 |
5.2 |
1.3 |
(2.6–7.7) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
568 1,094 |
5.6 8.3 |
1.4 1.5 |
(2.8–8.3) (5.7 – 10.8) |
Ocala, Florida |
566 |
4.2 |
1.2 |
(1.8–6.5) |
Ocean City, New Jersey |
488 |
8.0 |
1.6 |
(4.8–11.1) |
TABLE 41. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
1,677 |
3.0 |
0.7 |
(1.6–4.3) |
Oklahoma City, Oklahoma |
2,441 |
3.8 |
0.7 |
(2.4–5.1) |
Olympia, Washington |
758 |
5.3 |
1.1 |
(3.1–7.4) |
Omaha-Council Bluffs, Nebraska-Iowa |
2,310 |
5.9 |
0.8 |
(4.3–7.4) |
Orlando-Kissimmee, Florida |
2,569 |
5.2 |
0.8 |
(3.6–6.7) |
Palm Bay-Melbourne-Titusville, Florida |
505 |
5.7 |
1.4 |
(2.9–8.4) |
Panama City-Lynn Haven, Florida Peabody, Massachusetts |
537 1,989 |
7.5 6.8 |
2.0 1.0 |
(3.5–11.4) (4.8 – 8.7) |
Pensacola-Ferry Pass-Brent, Florida |
987 |
5.6 |
1.1 |
(3.4–7.7) |
Philadelphia, Pennsylvania* |
2,309 |
3.2 |
0.5 |
(2.2–4.1) |
Phoenix-Mesa-Scottsdale, Arizona |
1,649 |
4.5 |
0.7 |
(3.1–5.8) |
Pittsburgh, Pennsylvania |
2,371 |
3.8 |
0.5 |
(2.8–4.7) |
Portland-South Portland-Biddeford, Maine |
2,566 |
5.7 |
0.6 |
(4.5–6.8) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,271 |
5.9 |
0.6 |
(4.7–7.0) |
Port St. Lucie-Fort Pierce, Florida |
990 |
5.4 |
1.0 |
(3.4–7.3) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
9,183 |
5.7 |
0.4 |
(4.9–6.4) |
Provo-Orem, Utah |
1,165 |
1.5 |
0.6 |
(0.3–2.6) |
Raleigh-Cary, North Carolina |
997 |
3.2 |
0.6 |
(2.0–4.3) |
Rapid City, South Dakota |
825 |
4.1 |
1.0 |
(2.1–6.0) |
Reno-Sparks, Nevada |
1,293 |
8.5 |
1.2 |
(6.1–10.8) |
Richmond, Virginia |
758 |
6.7 |
1.8 |
(3.1–10.2) |
Riverside-San Bernardino-Ontario, California |
1,776 |
5.8 |
0.9 |
(4.0–7.5) |
Rochester, New York |
555 |
4.1 |
1.1 |
(1.9–6.2) |
Rockingham County-Strafford County, New Hampshire† |
1,565 |
6.5 |
1.0 |
(4.5–8.4) |
Rutland, Vermont |
648 |
7.2 |
1.4 |
(4.4–9.9) |
Sacramento-Arden-Arcade-Roseville, California |
1,229 |
5.1 |
0.8 |
(3.5–6.6) |
St. Louis, Missouri-Illinois |
1,712 |
6.1 |
1.0 |
(4.1–8.0) |
Salt Lake City, Utah |
4,235 |
4.0 |
0.5 |
(3.0–4.9) |
San Antonio, Texas |
1,105 |
8.2 |
1.4 |
(5.4–10.9) |
San Diego-Carlsbad-San Marcos, California |
1,604 |
7.3 |
1.0 |
(5.3–9.2) |
San Francisco-Oakland-Fremont, California |
2,225 |
6.1 |
0.6 |
(4.9–7.2) |
San Jose-Sunnyvale-Santa Clara, California |
868 |
4.0 |
0.9 |
(2.2–5.7) |
Santa Ana-Anaheim-Irvine, California† |
1,359 |
4.3 |
0.7 |
(2.9–5.6) |
Santa Fe, New Mexico |
598 |
7.8 |
1.4 |
(5.0–10.5) |
Scottsbluff, Nebraska |
746 |
2.5 |
0.6 |
(1.3–3.6) |
Scranton-Wilkes-Barre, Pennsylvania |
541 |
7.3 |
1.5 |
(4.3–10.2) |
Seaford, Delaware |
1,226 |
5.6 |
0.9 |
(3.8–7.3) |
Seattle-Bellevue-Everett, Washington† |
4,553 |
6.1 |
0.5 |
(5.1–7.0) |
Sebring, Florida |
507 |
7.1 |
1.7 |
(3.7–10.4) |
Shreveport-Bossier City, Louisiana |
652 |
3.0 |
0.9 |
(1.2–4.7) |
Sioux City, Iowa-Nebraska-South Dakota |
1,193 |
5.1 |
1.4 |
(2.3–7.8) |
Sioux Falls, South Dakota |
822 |
6.4 |
1.3 |
(3.8–8.9) |
Spokane, Washington |
1,185 |
5.5 |
0.8 |
(3.9–7.0) |
Springfield, Massachusetts |
1,915 |
9.2 |
1.5 |
(6.2–12.1) |
Tacoma, Washington† |
1,663 |
5.4 |
0.7 |
(4.0–6.7) |
Tallahassee, Florida |
1,991 |
3.5 |
0.6 |
(2.3–4.6) |
Tampa-St. Petersburg-Clearwater, Florida |
1,969 |
5.3 |
0.8 |
(3.7–6.8) |
Toledo, Ohio |
836 |
3.3 |
0.9 |
(1.5–5.0) |
Topeka, Kansas |
814 |
4.6 |
1.0 |
(2.6–6.5) |
Trenton-Ewing, New Jersey |
483 |
2.5 |
0.6 |
(1.3–3.6) |
Tucson, Arizona |
680 |
8.0 |
1.9 |
(4.2–11.7) |
Tulsa, Oklahoma |
2,100 |
3.1 |
0.5 |
(2.1–4.0) |
Tuscaloosa, Alabama |
505 |
5.2 |
1.8 |
(1.6–8.7) |
Twin Falls, Idaho |
530 |
4.0 |
1.3 |
(1.4–6.5) |
Tyler, Texas |
655 |
5.1 |
1.9 |
(1.3–8.8) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,045 |
5.2 |
1.5 |
(2.2–8.1) |
Warren-Troy-Farmington Hills, Michigan† |
1,765 |
5.4 |
0.8 |
(3.8–6.9) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia† |
6,249 |
5.0 |
0.7 |
(3.6–6.3) |
Wauchula, Florida |
514 |
7.9 |
2.6 |
(2.8–12.9) |
West Palm Beach-Boca Raton-Boynton Beach, Florida† |
532 |
6.3 |
1.6 |
(3.1–9.4) |
Wichita, Kansas |
1,813 |
2.8 |
0.5 |
(1.8–3.7) |
Wichita Falls, Texas |
814 |
3.1 |
1.0 |
(1.1–5.0) |
Wilmington, Delaware-Maryland-New Jersey† |
2,177 |
6.0 |
0.8 |
(4.4–7.5) |
TABLE 41. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
1,955 |
6.3 |
1.3 |
(3.7–8.8) |
Yakima, Washington |
706 |
4.1 |
0.9 |
(2.3–5.8) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,021 |
4.3 |
2.0 |
(0.3–8.2) |
Median |
5.1 |
|||
Range |
1.0-10.0 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * For adult men: having more than two drinks per day, for adult women: having more than one drink per day. † Metropolitan division. § Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 42. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
479 |
10.0 |
1.7 |
(6.6–13.3) |
Nassau County, Florida |
503 |
5.7 |
1.3 |
(3.1–8.2) |
Orange County, Florida |
973 |
4.2 |
1.0 |
(2.2–6.1) |
Osceola County, Florida |
551 |
3.8 |
1.5 |
(0.8–6.7) |
Palm Beach County, Florida |
532 |
6.3 |
1.6 |
(3.1–9.4) |
Pasco County, Florida |
526 |
7.2 |
2.0 |
(3.2–11.1) |
Pinellas County, Florida |
479 |
4.9 |
1.1 |
(2.7–7.0) |
Polk County, Florida |
503 |
4.0 |
0.9 |
(2.2–5.7) |
St. Johns County, Florida |
510 |
9.4 |
1.7 |
(6.0–12.7) |
St. Lucie County, Florida |
491 |
4.7 |
1.4 |
(1.9–7.4) |
Santa Rosa County, Florida |
481 |
4.3 |
1.2 |
(1.9–6.6) |
Sarasota County, Florida |
587 |
9.3 |
1.8 |
(5.7–12.8) |
Seminole County, Florida |
468 |
6.6 |
1.6 |
(3.4–9.7) |
Volusia County, Florida |
835 |
4.2 |
0.9 |
(2.4–5.9) |
Wakulla County, Florida |
515 |
9.1 |
2.4 |
(4.3–13.8) |
Cobb County, Georgia |
241 |
4.3 |
1.7 |
(0.9–7.6) |
DeKalb County, Georgia |
326 |
2.5 |
1.0 |
(0.5–4.4) |
Fulton County, Georgia |
319 |
7.1 |
2.1 |
(2.9–11.2) |
Gwinnett County, Georgia |
243 |
1.1 |
0.5 |
(0.1–2.0) |
Hawaii County, Hawaii |
1,462 |
7.6 |
1.0 |
(5.6–9.5) |
Honolulu County, Hawaii |
2,927 |
6.3 |
0.6 |
(5.1–7.4) |
Kauai County, Hawaii |
635 |
9.5 |
1.6 |
(6.3–12.6) |
Maui County, Hawaii |
1,439 |
6.1 |
0.8 |
(4.5–7.6) |
Ada County, Idaho |
842 |
3.5 |
0.7 |
(2.1–4.8) |
Bonneville County, Idaho |
517 |
1.8 |
0.6 |
(0.6–2.9) |
Canyon County, Idaho |
604 |
2.9 |
0.8 |
(1.3–4.4) |
Kootenai County, Idaho |
556 |
6.0 |
1.6 |
(2.8–9.1) |
Nez Perce County, Idaho |
370 |
3.2 |
1.0 |
(1.2–5.1) |
Twin Falls County, Idaho |
427 |
3.9 |
1.4 |
(1.1–6.6) |
Cook County, Illinois |
2,845 |
6.7 |
0.8 |
(5.1–8.2) |
DuPage County, Illinois |
252 |
6.5 |
2.5 |
(1.6–11.4) |
Allen County, Indiana |
572 |
3.0 |
0.8 |
(1.4–4.5) |
Lake County, Indiana |
974 |
3.5 |
1.0 |
(1.5–5.4) |
Marion County, Indiana |
1,421 |
5.1 |
1.1 |
(2.9–7.2) |
Linn County, Iowa |
485 |
3.6 |
1.1 |
(1.4–5.7) |
Polk County, Iowa |
757 |
5.0 |
1.1 |
(2.8–7.1) |
Johnson County, Kansas |
1,389 |
5.7 |
0.9 |
(3.9–7.4) |
Sedgwick County, Kansas |
1,404 |
3.1 |
0.7 |
(1.7–4.4) |
Shawnee County, Kansas |
612 |
4.1 |
1.1 |
(1.9–6.2) |
Wyandotte County, Kansas |
598 |
4.3 |
1.3 |
(1.7–6.8) |
Jefferson County, Kentucky |
392 |
5.8 |
1.4 |
(3.0–8.5) |
Caddo Parish, Louisiana |
431 |
2.0 |
0.8 |
(0.4–3.5) |
East Baton Rouge Parish, Louisiana |
695 |
4.2 |
0.9 |
(2.4–5.9) |
Jefferson Parish, Louisiana |
575 |
4.4 |
1.2 |
(2.0–6.7) |
Orleans Parish, Louisiana |
365 |
6.4 |
1.7 |
(3.0–9.7) |
St. Tammany Parish, Louisiana |
351 |
8.1 |
2.0 |
(4.1–12.0) |
Androscoggin County, Maine |
492 |
2.5 |
0.7 |
(1.1–3.8) |
Cumberland County, Maine |
1,358 |
6.3 |
0.9 |
(4.5–8.0) |
Kennebec County, Maine |
631 |
6.4 |
1.7 |
(3.0–9.7) |
Penobscot County, Maine |
677 |
4.9 |
1.2 |
(2.5–7.2) |
Sagadahoc County, Maine |
289 |
5.9 |
1.9 |
(2.1–9.6) |
York County, Maine |
919 |
4.6 |
0.8 |
(3.0–6.1) |
Anne Arundel County, Maryland |
592 |
3.0 |
0.7 |
(1.6–4.3) |
Baltimore County, Maryland |
1,018 |
4.2 |
1.2 |
(1.8–6.5) |
Cecil County, Maryland |
264 |
5.6 |
2.0 |
(1.6–9.5) |
Charles County, Maryland |
345 |
2.1 |
0.8 |
(0.5–3.6) |
Frederick County, Maryland |
566 |
6.7 |
1.5 |
(3.7–9.6) |
Harford County, Maryland |
271 |
5.5 |
1.7 |
(2.1–8.8) |
Howard County, Maryland |
333 |
4.8 |
1.2 |
(2.4–7.1) |
Montgomery County, Maryland |
1,024 |
4.8 |
0.9 |
(3.0–6.5) |
Prince George´s County, Maryland |
767 |
2.4 |
0.6 |
(1.2–3.5) |
Queen Anne´s County, Maryland |
282 |
9.1 |
2.1 |
(4.9–13.2) |
Washington County, Maryland |
396 |
4.7 |
1.8 |
(1.1–8.2) |
TABLE 42. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
507 |
5.4 |
1.5 |
(2.4–8.3) |
Bristol County, Massachusetts |
2,696 |
6.8 |
1.2 |
(4.4–9.1) |
Essex County, Massachusetts |
1,989 |
7.1 |
1.0 |
(5.1–9.0) |
Hampden County, Massachusetts |
1,483 |
9.3 |
2.7 |
(4.0–14.5) |
Hampshire County, Massachusetts |
257 |
14.2 |
4.0 |
(6.3–22.0) |
Middlesex County, Massachusetts |
2,828 |
5.5 |
0.6 |
(4.3–6.6) |
Norfolk County, Massachusetts |
807 |
6.8 |
1.0 |
(4.8–8.7) |
Plymouth County, Massachusetts |
643 |
7.5 |
1.7 |
(4.1–10.8) |
Suffolk County, Massachusetts |
1,641 |
10.4 |
2.4 |
(5.6–15.1) |
Worcester County, Massachusetts |
1,955 |
6.3 |
1.3 |
(3.7–8.8) |
Kent County, Michigan |
439 |
5.5 |
1.6 |
(2.3–8.6) |
Macomb County, Michigan |
502 |
4.1 |
1.0 |
(2.1–6.0) |
Oakland County, Michigan |
921 |
6.4 |
1.4 |
(3.6–9.1) |
Wayne County, Michigan |
1,880 |
5.7 |
1.0 |
(3.7–7.6) |
Anoka County, Minnesota |
384 |
3.0 |
1.0 |
(1.0–4.9) |
Dakota County, Minnesota |
559 |
2.6 |
0.7 |
(1.2–3.9) |
Hennepin County, Minnesota |
1,976 |
4.9 |
1.1 |
(2.7–7.0) |
Ramsey County, Minnesota |
888 |
4.6 |
1.1 |
(2.4–6.7) |
Washington County, Minnesota |
248 |
3.2 |
1.3 |
(0.6–5.7) |
DeSoto County, Mississippi |
359 |
2.7 |
1.0 |
(0.7–4.6) |
Hinds County, Mississippi |
330 |
2.5 |
1.1 |
(0.3–4.6) |
Jackson County, Missouri |
517 |
3.0 |
0.8 |
(1.4–4.5) |
St. Louis County, Missouri |
586 |
7.3 |
2.0 |
(3.3–11.2) |
St. Louis city, Missouri |
629 |
5.5 |
1.1 |
(3.3–7.6) |
Flathead County, Montana |
686 |
6.5 |
1.2 |
(4.1–8.8) |
Lewis and Clark County, Montana |
515 |
5.7 |
1.4 |
(2.9–8.4) |
Yellowstone County, Montana |
478 |
4.2 |
1.3 |
(1.6–6.7) |
Adams County, Nebraska |
471 |
3.1 |
1.0 |
(1.1–5.0) |
Dakota County, Nebraska |
723 |
4.0 |
1.1 |
(1.8–6.1) |
Douglas County, Nebraska |
932 |
5.9 |
1.0 |
(3.9–7.8) |
Hall County, Nebraska |
580 |
5.4 |
1.5 |
(2.4–8.3) |
Lancaster County, Nebraska |
837 |
5.9 |
1.4 |
(3.1–8.6) |
Lincoln County, Nebraska |
536 |
4.9 |
1.2 |
(2.5–7.2) |
Madison County, Nebraska |
456 |
5.2 |
1.5 |
(2.2–8.1) |
Sarpy County, Nebraska |
569 |
5.5 |
1.3 |
(2.9–8.0) |
Scotts Bluff County, Nebraska |
724 |
2.8 |
0.8 |
(1.2–4.3) |
Seward County, Nebraska |
284 |
5.1 |
1.8 |
(1.5–8.6) |
Clark County, Nevada |
1,236 |
5.1 |
0.7 |
(3.7–6.4) |
Washoe County, Nevada |
1,273 |
8.3 |
1.2 |
(5.9–10.6) |
Grafton County, New Hampshire |
503 |
10.8 |
2.2 |
(6.4–15.1) |
Hillsborough County, New Hampshire |
1,385 |
6.1 |
1.0 |
(4.1–8.0) |
Merrimack County, New Hampshire |
627 |
5.1 |
1.1 |
(2.9–7.2) |
Rockingham County, New Hampshire |
989 |
5.5 |
1.0 |
(3.5–7.4) |
Strafford County, New Hampshire |
576 |
8.3 |
2.0 |
(4.3–12.2) |
Atlantic County, New Jersey |
870 |
5.4 |
1.3 |
(2.8–7.9) |
Bergen County, New Jersey |
589 |
7.0 |
1.8 |
(3.4–10.5) |
Burlington County, New Jersey |
538 |
4.0 |
1.0 |
(2.0–5.9) |
Camden County, New Jersey |
576 |
3.3 |
0.8 |
(1.7–4.8) |
Cape May County, New Jersey |
488 |
8.0 |
1.6 |
(4.8–11.1) |
Essex County, New Jersey |
954 |
3.7 |
0.8 |
(2.1–5.2) |
Gloucester County, New Jersey |
490 |
5.0 |
1.4 |
(2.2–7.7) |
Hudson County, New Jersey |
1,041 |
3.6 |
0.7 |
(2.2–4.9) |
Hunterdon County, New Jersey |
485 |
7.3 |
1.6 |
(4.1–10.4) |
Mercer County, New Jersey |
483 |
2.5 |
0.6 |
(1.3–3.6) |
Middlesex County, New Jersey |
598 |
3.1 |
0.8 |
(1.5–4.6) |
Monmouth County, New Jersey |
522 |
4.8 |
1.4 |
(2.0–7.5) |
Morris County, New Jersey |
670 |
4.4 |
0.9 |
(2.6–6.1) |
Ocean County, New Jersey |
499 |
3.7 |
0.9 |
(1.9–5.4) |
Passaic County, New Jersey |
466 |
4.0 |
1.2 |
(1.6–6.3) |
Somerset County, New Jersey |
516 |
4.3 |
1.0 |
(2.3–6.2) |
Sussex County, New Jersey |
470 |
4.8 |
1.2 |
(2.4–7.1) |
Union County, New Jersey |
486 |
3.2 |
0.8 |
(1.6–4.7) |
Warren County, New Jersey |
443 |
2.9 |
1.0 |
(0.9–4.8) |
TABLE 42. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
1,235 |
4.2 |
0.7 |
(2.8–5.5) |
Dona Ana County, New Mexico |
494 |
3.3 |
0.8 |
(1.7–4.8) |
Sandoval County, New Mexico |
507 |
3.3 |
1.5 |
(0.3–6.2) |
San Juan County, New Mexico |
671 |
3.8 |
1.2 |
(1.4–6.1) |
Santa Fe County, New Mexico |
598 |
7.8 |
1.4 |
(5.0–10.5) |
Valencia County, New Mexico |
339 |
4.0 |
1.7 |
(0.6–7.3) |
Bronx County, New York |
422 |
3.2 |
1.3 |
(0.6–5.7) |
Erie County, New York |
465 |
8.0 |
1.8 |
(4.4–11.5) |
Kings County, New York |
876 |
2.9 |
0.8 |
(1.3–4.4) |
Monroe County, New York |
373 |
4.6 |
1.5 |
(1.6–7.5) |
Nassau County, New York |
465 |
4.8 |
1.7 |
(1.4–8.1) |
New York County, New York |
1,008 |
5.5 |
0.9 |
(3.7–7.2) |
Queens County, New York |
767 |
1.9 |
0.5 |
(0.9–2.8) |
Suffolk County, New York |
582 |
6.2 |
1.3 |
(3.6–8.7) |
Westchester County, New York |
369 |
5.9 |
1.7 |
(2.5–9.2) |
Buncombe County, North Carolina |
259 |
5.0 |
1.7 |
(1.6–8.3) |
Cabarrus County, North Carolina |
302 |
1.5 |
0.7 |
(0.1–2.8) |
Catawba County, North Carolina |
287 |
NA |
NA |
NA |
Durham County, North Carolina |
611 |
3.8 |
1.0 |
(1.8–5.7) |
Gaston County, North Carolina |
258 |
3.6 |
1.2 |
(1.2–5.9) |
Guilford County, North Carolina |
683 |
4.1 |
1.0 |
(2.1–6.0) |
Johnston County, North Carolina |
272 |
2.0 |
0.9 |
(0.2–3.7) |
Mecklenburg County, North Carolina |
593 |
4.1 |
1.1 |
(1.9–6.2) |
Orange County, North Carolina |
293 |
6.8 |
1.7 |
(3.4–10.1) |
Randolph County, North Carolina |
393 |
2.7 |
1.2 |
(0.3–5.0) |
Union County, North Carolina |
343 |
4.5 |
1.7 |
(1.1–7.8) |
Wake County, North Carolina |
687 |
3.5 |
0.8 |
(1.9–5.0) |
Burleigh County, North Dakota |
536 |
2.4 |
0.8 |
(0.8–3.9) |
Cass County, North Dakota |
761 |
5.7 |
1.4 |
(2.9–8.4) |
Ward County, North Dakota |
456 |
4.5 |
1.2 |
(2.1–6.8) |
Cuyahoga County, Ohio |
688 |
5.3 |
1.3 |
(2.7–7.8) |
Franklin County, Ohio |
664 |
4.4 |
1.1 |
(2.2–6.5) |
Hamilton County, Ohio |
706 |
5.7 |
1.4 |
(2.9–8.4) |
Lucas County, Ohio |
703 |
4.0 |
1.2 |
(1.6–6.3) |
Mahoning County, Ohio |
698 |
2.7 |
0.6 |
(1.5–3.8) |
Montgomery County, Ohio |
684 |
6.6 |
1.6 |
(3.4–9.7) |
Stark County, Ohio |
691 |
4.3 |
1.1 |
(2.1–6.4) |
Summit County, Ohio |
684 |
4.8 |
1.1 |
(2.6–6.9) |
Cleveland County, Oklahoma |
429 |
5.4 |
2.0 |
(1.4–9.3) |
Oklahoma County, Oklahoma |
1,415 |
3.7 |
0.8 |
(2.1–5.2) |
Tulsa County, Oklahoma |
1,489 |
3.5 |
0.6 |
(2.3–4.6) |
Clackamas County, Oregon |
426 |
4.9 |
1.4 |
(2.1–7.6) |
Lane County, Oregon |
495 |
5.8 |
1.1 |
(3.6–7.9) |
Multnomah County, Oregon |
781 |
6.9 |
1.1 |
(4.7–9.0) |
Washington County, Oregon |
562 |
6.3 |
1.4 |
(3.5–9.0) |
Allegheny County, Pennsylvania |
1,347 |
4.8 |
0.8 |
(3.2–6.3) |
Lehigh County, Pennsylvania |
274 |
3.5 |
1.3 |
(0.9–6.0) |
Luzerne County, Pennsylvania |
307 |
5.7 |
1.6 |
(2.5–8.8) |
Montgomery County, Pennsylvania |
342 |
2.8 |
1.1 |
(0.6–4.9) |
Northampton County, Pennsylvania |
254 |
5.9 |
2.1 |
(1.7–10.0) |
Philadelphia County, Pennsylvania |
1,368 |
3.1 |
0.6 |
(1.9–4.2) |
Westmoreland County, Pennsylvania |
329 |
3.3 |
1.2 |
(0.9–5.6) |
Bristol County, Rhode Island |
276 |
5.7 |
1.8 |
(2.1–9.2) |
Kent County, Rhode Island |
923 |
5.9 |
1.0 |
(3.9–7.8) |
Newport County, Rhode Island |
477 |
6.3 |
1.1 |
(4.1–8.4) |
Providence County, Rhode Island |
4,079 |
4.7 |
0.5 |
(3.7–5.6) |
Washington County, Rhode Island |
732 |
7.1 |
1.4 |
(4.3–9.8) |
Aiken County, South Carolina |
457 |
4.8 |
1.3 |
(2.2–7.3) |
Beaufort County, South Carolina |
661 |
7.0 |
1.0 |
(5.0–8.9) |
Berkeley County, South Carolina |
348 |
7.7 |
2.5 |
(2.8–12.6) |
Charleston County, South Carolina |
649 |
8.9 |
1.9 |
(5.1–12.6) |
Greenville County, South Carolina |
488 |
3.5 |
1.0 |
(1.5–5.4) |
Horry County, South Carolina |
539 |
6.7 |
1.8 |
(3.1–10.2) |
TABLE 42. (Continued) Estimated prevalence of adults aged ≥18 years who reported heavy drinking* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
646 |
7.6 |
2.2 |
(3.2–11.9) |
Minnehaha County, South Dakota |
591 |
6.3 |
1.6 |
(3.1–9.4) |
Pennington County, South Dakota |
646 |
5.4 |
1.3 |
(2.8–7.9) |
Davidson County, Tennessee |
396 |
NA |
NA |
NA |
Hamilton County, Tennessee |
369 |
2.2 |
0.9 |
(0.4–3.9) |
Knox County, Tennessee |
355 |
1.1 |
0.5 |
(0.1–2.0) |
Shelby County, Tennessee |
374 |
NA |
NA |
NA |
Sullivan County, Tennessee |
444 |
2.3 |
1.0 |
(0.3–4.2) |
Bexar County, Texas |
948 |
9.5 |
1.7 |
(6.1–12.8) |
Dallas County, Texas |
383 |
4.0 |
1.2 |
(1.6–6.3) |
El Paso County, Texas |
854 |
4.3 |
1.1 |
(2.1–6.4) |
Fort Bend County, Texas |
903 |
3.0 |
1.2 |
(0.6–5.3) |
Harris County, Texas |
1,413 |
4.9 |
0.9 |
(3.1–6.6) |
Hidalgo County, Texas |
586 |
4.1 |
1.4 |
(1.3–6.8) |
Lubbock County, Texas |
744 |
3.8 |
1.3 |
(1.2–6.3) |
Midland County, Texas |
507 |
4.7 |
1.6 |
(1.5–7.8) |
Potter County, Texas |
330 |
4.3 |
1.7 |
(0.9–7.6) |
Randall County, Texas |
453 |
3.5 |
1.3 |
(0.9–6.0) |
Smith County, Texas |
655 |
5.1 |
1.9 |
(1.3–8.8) |
Tarrant County, Texas |
591 |
3.4 |
1.3 |
(0.8–5.9) |
Travis County, Texas |
733 |
6.3 |
2.3 |
(1.7–10.8) |
Val Verde County, Texas |
544 |
2.6 |
0.7 |
(1.2–3.9) |
Webb County, Texas |
891 |
2.1 |
0.7 |
(0.7–3.4) |
Wichita County, Texas |
666 |
3.6 |
1.2 |
(1.2–5.9) |
Davis County, Utah |
868 |
3.2 |
1.0 |
(1.2–5.1) |
Salt Lake County, Utah |
3,227 |
4.0 |
0.5 |
(3.0–4.9) |
Summit County, Utah |
444 |
6.7 |
1.4 |
(3.9–9.4) |
Tooele County, Utah |
564 |
2.6 |
0.8 |
(1.0–4.1) |
Utah County, Utah |
1,105 |
1.5 |
0.6 |
(0.3–2.6) |
Weber County, Utah |
764 |
2.6 |
0.8 |
(1.0–4.1) |
Chittenden County, Vermont |
1,408 |
8.0 |
1.2 |
(5.6–10.3) |
Franklin County, Vermont |
474 |
5.6 |
1.5 |
(2.6–8.5) |
Orange County, Vermont |
349 |
8.2 |
2.1 |
(4.0–12.3) |
Rutland County, Vermont |
648 |
7.2 |
1.4 |
(4.4–9.9) |
Washington County, Vermont |
653 |
7.3 |
1.3 |
(4.7–9.8) |
Windsor County, Vermont |
666 |
7.6 |
1.3 |
(5.0–10.1) |
Benton County, Washington |
382 |
2.6 |
0.7 |
(1.2–3.9) |
Clark County, Washington |
1,062 |
4.4 |
0.9 |
(2.6–6.1) |
Franklin County, Washington |
243 |
2.8 |
1.2 |
(0.4–5.1) |
King County, Washington |
2,954 |
6.5 |
0.6 |
(5.3–7.6) |
Kitsap County, Washington |
893 |
5.8 |
0.9 |
(4.0–7.5) |
Pierce County, Washington |
1,663 |
5.3 |
0.6 |
(4.1–6.4) |
Snohomish County, Washington |
1,599 |
6.2 |
0.9 |
(4.4–7.9) |
Spokane County, Washington |
1,185 |
5.5 |
0.8 |
(3.9–7.0) |
Thurston County, Washington |
758 |
5.3 |
1.1 |
(3.1–7.4) |
Yakima County, Washington |
706 |
4.1 |
0.9 |
(2.3–5.8) |
Kanawha County, West Virginia |
487 |
3.1 |
1.3 |
(0.5–5.6) |
Milwaukee County, Wisconsin |
1,150 |
7.5 |
1.5 |
(4.5–10.4) |
Laramie County, Wyoming |
893 |
3.4 |
0.7 |
(2.0–4.7) |
Natrona County, Wyoming |
751 |
6.1 |
1.3 |
(3.5–8.6) |
Median |
5.0 |
|||
Range |
1.0-14.2 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * For adult men: having more than two drinks per day, for adult women: having more than one drink per day. † Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 44. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95%CI) |
Gainesville, Florida |
950 |
19.1 |
2.6 |
(14.0–24.1) |
Grand Island, Nebraska |
861 |
26.2 |
2.0 |
(22.2–30.1) |
Grand Rapids-Wyoming, Michigan |
623 |
19.3 |
1.8 |
(15.7–22.8) |
Greensboro-High Point, North Carolina |
1,162 |
23.4 |
1.8 |
(19.8–26.9) |
Greenville, South Carolina |
778 |
26.5 |
3.0 |
(20.6–32.3) |
Hagerstown-Martinsburg, Maryland-West Virginia |
643 |
27.7 |
2.4 |
(22.9–32.4) |
Hartford-West Hartford-East Hartford, Connecticut |
2,017 |
19.5 |
1.2 |
(17.1–21.8) |
Hastings, Nebraska |
589 |
26.0 |
3.0 |
(20.1–31.8) |
Helena, Montana |
642 |
18.4 |
2.0 |
(14.4–22.3) |
Hickory-Morganton-Lenoir, North Carolina |
601 |
30.2 |
2.6 |
(25.1–35.2) |
Hilo, Hawaii |
1,480 |
19.2 |
1.4 |
(16.4–21.9) |
Hilton Head Island-Beaufort, South Carolina |
800 |
19.0 |
1.9 |
(15.2–22.7) |
Homosassa Springs, Florida |
535 |
22.7 |
2.3 |
(18.1–27.2) |
Honolulu, Hawaii |
2,960 |
19.7 |
0.9 |
(17.9–21.4) |
Houston-Sugar Land-Baytown, Texas |
2,742 |
23.6 |
1.5 |
(20.6–26.5) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
659 |
30.2 |
2.4 |
(25.4–34.9) |
Idaho Falls, Idaho |
665 |
19.4 |
2.1 |
(15.2–23.5) |
Indianapolis-Carmel, Indiana |
2,251 |
23.5 |
1.4 |
(20.7–26.2) |
Jackson, Mississippi |
761 |
31.5 |
2.3 |
(26.9–36.0) |
Jacksonville, Florida |
2,584 |
27.9 |
1.9 |
(24.1–31.6) |
Kahului-Wailuku, Hawaii |
1,466 |
16.4 |
1.5 |
(13.4–19.3) |
Kalispell, Montana |
701 |
20.4 |
2.2 |
(16.0–24.7) |
Kansas City, Missouri-Kansas |
3,379 |
23.0 |
1.1 |
(20.8–25.1) |
Kapaa, Hawaii |
645 |
16.5 |
2.1 |
(12.3–20.6) |
Kennewick-Richland-Pasco, Washington |
644 |
24.2 |
2.5 |
(19.3–29.1) |
Key West-Marathon, Florida |
506 |
16.9 |
2.2 |
(12.5–21.2) |
Kingsport-Bristol, Tennessee-Virginia |
655 |
37.6 |
3.4 |
(30.9–44.2) |
Knoxville, Tennessee |
530 |
29.1 |
3.3 |
(22.6–35.5) |
Lake City, Florida |
563 |
28.0 |
2.7 |
(22.7–33.2) |
Lakeland-Winter Haven, Florida |
521 |
26.0 |
2.5 |
(21.1–30.9) |
Laredo, Texas |
922 |
34.2 |
2.1 |
(30.0–38.3) |
Las Cruces, New Mexico |
504 |
24.5 |
2.8 |
(19.0–29.9) |
Las Vegas-Paradise, Nevada |
1,269 |
23.7 |
1.6 |
(20.5–26.8) |
Lebanon, New Hampshire-Vermont |
1,557 |
19.6 |
1.4 |
(16.8–22.3) |
Lewiston, Idaho-Washington |
600 |
22.3 |
2.4 |
(17.5–27.0) |
Lewiston-Auburn, Maine |
501 |
24.3 |
2.4 |
(19.5–29.0) |
Lincoln, Nebraska |
1,130 |
18.2 |
1.8 |
(14.6–21.7) |
Little Rock-North Little Rock, Arkansas |
822 |
23.8 |
2.2 |
(19.4–28.1) |
Los Angeles-Long Beach-Glendale, California† |
2,618 |
20.8 |
1.0 |
(18.8–22.7) |
Louisville, Kentucky-Indiana |
909 |
25.2 |
1.8 |
(21.6–28.7) |
Lubbock, Texas |
780 |
30.7 |
2.7 |
(25.4–35.9) |
Manchester-Nashua, New Hampshire |
1,418 |
18.7 |
1.4 |
(15.9–21.4) |
McAllen-Edinburg-Mission, Texas |
597 |
36.0 |
2.7 |
(30.7–41.2) |
Memphis, Tennessee-Mississippi-Arkansas |
1,155 |
26.1 |
2.1 |
(21.9–30.2) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,028 |
24.1 |
1.8 |
(20.5–27.6) |
Midland, Texas |
524 |
33.3 |
3.0 |
(27.4–39.1) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,533 |
24.4 |
2.1 |
(20.2–28.5) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
4,863 |
17.1 |
0.9 |
(15.3–18.8) |
Minot, North Dakota |
556 |
26.5 |
2.3 |
(21.9–31.0) |
Mobile, Alabama |
681 |
30.3 |
2.7 |
(25.0–35.5) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
554 |
22.7 |
2.3 |
(18.1–27.2) |
Naples-Marco Island, Florida |
520 |
13.6 |
2.0 |
(9.6–17.5) |
Nashville-Davidson-Murfreesboro, Tennessee |
829 |
26.7 |
2.4 |
(21.9–31.4) |
Nassau-Suffolk, New York† |
1,072 |
22.7 |
1.7 |
(19.3–26.0) |
Newark-Union, New Jersey-Pennsylvania† |
3,324 |
26.1 |
1.3 |
(23.5–28.6) |
New Haven-Milford, Connecticut |
1,676 |
22.1 |
1.5 |
(19.1–25.0) |
New Orleans-Metairie-Kenner, Louisiana |
1,537 |
26.9 |
1.5 |
(23.9–29.8) |
New York-White Plains-Wayne, New York-New Jersey† |
6,196 |
24.6 |
0.8 |
(23.0–26.1) |
Norfolk, Nebraska |
676 |
28.3 |
2.5 |
(23.4–33.2) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
578 1,132 |
28.8 21.6 |
2.9 1.7 |
(23.1–34.4) (18.2–24.9) |
Ocala, Florida |
589 |
28.8 |
2.7 |
(23.5–34.0) |
Ocean City, New Jersey |
520 |
24.9 |
2.4 |
(20.1–29.6) |
TABLE 44. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95%CI) |
Ogden-Clearfield, Utah |
1,698 |
16.5 |
1.1 |
(14.3–18.6) |
Oklahoma City, Oklahoma |
2,475 |
28.5 |
1.2 |
(26.1–30.8) |
Olympia, Washington |
775 |
15.2 |
1.5 |
(12.2–18.1) |
Omaha-Council Bluffs, Nebraska-Iowa |
2,357 |
23.7 |
1.3 |
(21.1–26.2) |
Orlando-Kissimmee, Florida |
2,670 |
25.3 |
1.4 |
(22.5–28.0) |
Palm Bay-Melbourne-Titusville, Florida |
527 |
26.4 |
2.6 |
(21.3–31.4) |
Panama City-Lynn Haven, Florida |
546 |
23.9 |
3.2 |
(17.6–30.1) |
Peabody, Massachusetts |
2,132 |
19.6 |
1.5 |
(16.6–22.5) |
Pensacola-Ferry Pass-Brent, Florida |
1,013 |
25.5 |
2.1 |
(21.3–29.6) |
Philadelphia, Pennsylvania† |
2,367 |
24.2 |
1.3 |
(21.6–26.7) |
Phoenix-Mesa-Scottsdale, Arizona |
1,685 |
18.5 |
1.4 |
(15.7–21.2) |
Pittsburgh, Pennsylvania |
2,418 |
23.6 |
1.1 |
(21.4–25.7) |
Portland-South Portland-Biddeford, Maine |
2,627 |
17.9 |
1.0 |
(15.9–19.8) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,397 |
15.8 |
1.0 |
(13.8–17.7) |
Port St. Lucie-Fort Pierce, Florida |
1,026 |
22.1 |
1.8 |
(18.5–25.6) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
9,526 |
24.3 |
0.7 |
(22.9–25.6) |
Provo-Orem, Utah |
1,176 |
16.2 |
1.6 |
(13.0–19.3) |
Raleigh-Cary, North Carolina |
1,028 |
20.4 |
1.6 |
(17.2–23.5) |
Rapid City, South Dakota |
848 |
24.4 |
1.8 |
(20.8–27.9) |
Reno-Sparks, Nevada |
1,326 |
19.1 |
1.6 |
(15.9–22.2) |
Richmond, Virginia |
802 |
26.2 |
2.6 |
(21.1–31.2) |
Riverside-San Bernardino-Ontario, California |
1,878 |
23.6 |
1.3 |
(21.0–26.1) |
Rochester, New York |
569 |
19.0 |
2.1 |
(14.8–23.1) |
Rockingham County-Strafford County, New Hampshire† |
1,606 |
19.5 |
1.3 |
(16.9–22.0) |
Rutland, Vermont |
659 |
22.6 |
2.1 |
(18.4–26.7) |
Sacramento-Arden-Arcade-Roseville, California |
1,294 |
15.3 |
1.3 |
(12.7–17.8) |
St. Louis, Missouri-Illinois |
1,752 |
25.5 |
1.8 |
(21.9–29.0) |
Salt Lake City, Utah |
4,312 |
18.3 |
0.8 |
(16.7–19.8) |
San Antonio, Texas |
1,129 |
26.5 |
1.9 |
(22.7–30.2) |
San Diego-Carlsbad-San Marcos, California |
1,695 |
19.0 |
1.3 |
(16.4–21.5) |
San Francisco-Oakland-Fremont, California |
2,358 |
17.4 |
1.0 |
(15.4–19.3) |
San Jose-Sunnyvale-Santa Clara, California |
913 |
17.0 |
1.6 |
(13.8–20.1) |
Santa Ana-Anaheim-Irvine, California† |
1,446 |
21.1 |
1.6 |
(17.9–24.2) |
Santa Fe, New Mexico |
610 |
17.9 |
2.3 |
(13.3–22.4) |
Scottsbluff, Nebraska |
761 |
27.5 |
2.3 |
(22.9–32.0) |
Scranton-Wilkes-Barre, Pennsylvania |
555 |
32.8 |
2.6 |
(27.7–37.8) |
Seaford, Delaware |
1,238 |
25.8 |
1.8 |
(22.2–29.3) |
Seattle-Bellevue-Everett, Washington† |
4,694 |
16.6 |
0.8 |
(15.0–18.1) |
Sebring, Florida |
520 |
28.9 |
2.9 |
(23.2–34.5) |
Shreveport-Bossier City, Louisiana |
683 |
34.1 |
2.8 |
(28.6–39.5) |
Sioux City, Iowa-Nebraska-South Dakota |
1,219 |
28.2 |
2.8 |
(22.7–33.6) |
Sioux Falls, South Dakota |
839 |
21.4 |
1.8 |
(17.8–24.9) |
Spokane, Washington |
1,217 |
18.3 |
1.5 |
(15.3–21.2) |
Springfield, Massachusetts |
2,049 |
20.5 |
1.5 |
(17.5–23.4) |
Tacoma, Washington* |
1,718 |
19.6 |
1.3 |
(17.0–22.1) |
Tallahassee, Florida |
2,043 |
22.1 |
2.0 |
(18.1–26.0) |
Tampa-St. Petersburg-Clearwater, Florida |
2,032 |
22.1 |
1.5 |
(19.1–25.0) |
Toledo, Ohio |
863 |
24.7 |
2.0 |
(20.7–28.6) |
Topeka, Kansas |
836 |
22.3 |
1.8 |
(18.7–25.8) |
Trenton-Ewing, New Jersey |
504 |
24.8 |
2.6 |
(19.7–29.8) |
Tucson, Arizona |
697 |
20.3 |
2.2 |
(15.9–24.6) |
Tulsa, Oklahoma |
2,144 |
29.2 |
1.3 |
(26.6–31.7) |
Tuscaloosa, Alabama |
516 |
31.0 |
3.1 |
(24.9–37.0) |
Twin Falls, Idaho |
540 |
25.4 |
2.9 |
(19.7–31.0) |
Tyler, Texas |
671 |
26.0 |
2.6 |
(20.9–31.0) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,104 |
22.8 |
2.1 |
(18.6–26.9) |
Warren-Troy-Farmington Hills, Michigan† |
1,801 |
19.4 |
1.3 |
(16.8–21.9) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia† |
6,445 |
19.3 |
1.2 |
(16.9–21.6) |
Wauchula, Florida |
529 |
27.2 |
3.1 |
(21.1–33.2) |
West Palm Beach-Boca Raton-Boynton Beach, Florida† |
551 |
22.6 |
2.6 |
(17.5–27.6) |
Wichita, Kansas |
1,853 |
22.6 |
1.3 |
(20.0–25.1) |
Wichita Falls, Texas |
829 |
28.6 |
2.3 |
(24.0–33.1) |
Wilmington, Delaware-Maryland-New Jersey† |
2,211 |
23.5 |
1.1 |
(21.3–25.6) |
TABLE 44. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95%CI) |
Worcester, Massachusetts |
2,098 |
19.0 |
1.3 |
(16.4–21.5) |
Yakima, Washington |
741 |
25.1 |
2.4 |
(20.3–29.8) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,062 |
26.4 |
2.4 |
(21.6–31.1) |
Median |
23.7 |
|||
Range |
13.1-37.6 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise. † Metropolitan division. § Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 45. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
506 |
16.9 |
2.2 |
(12.5–21.2) |
Nassau County, Florida |
520 |
20.5 |
2.9 |
(14.8–26.1) |
Orange County, Florida |
1,008 |
26.3 |
2.1 |
(22.1–30.4) |
Osceola County, Florida |
565 |
25.6 |
2.6 |
(20.5–30.6) |
Palm Beach County, Florida |
551 |
22.6 |
2.6 |
(17.5–27.6) |
Pasco County, Florida |
540 |
27.7 |
2.7 |
(22.4–32.9) |
Pinellas County, Florida |
498 |
15.8 |
2.0 |
(11.8–19.7) |
Polk County, Florida |
521 |
26.0 |
2.5 |
(21.1–30.9) |
St. Johns County, Florida |
522 |
17.6 |
2.3 |
(13.0–22.1) |
St. Lucie County, Florida |
505 |
24.3 |
2.4 |
(19.5–29.0) |
Santa Rosa County, Florida |
494 |
23.3 |
2.5 |
(18.4–28.2) |
Sarasota County, Florida |
608 |
20.6 |
2.4 |
(15.8–25.3) |
Seminole County, Florida |
491 |
23.8 |
2.8 |
(18.3–29.2) |
Volusia County, Florida |
862 |
23.7 |
2.4 |
(18.9–28.4) |
Wakulla County, Florida |
537 |
33.8 |
3.5 |
(26.9–40.6) |
Cobb County, Georgia |
254 |
23.0 |
3.4 |
(16.3–29.6) |
DeKalb County, Georgia |
342 |
18.9 |
2.9 |
(13.2–24.5) |
Fulton County, Georgia |
330 |
19.5 |
3.2 |
(13.2–25.7) |
Gwinnett County, Georgia |
251 |
22.5 |
3.5 |
(15.6–29.3) |
Hawaii County, Hawaii |
1,480 |
19.2 |
1.4 |
(16.4–21.9) |
Honolulu County, Hawaii |
2,960 |
19.7 |
0.9 |
(17.9–21.4) |
Kauai County, Hawaii |
645 |
16.5 |
2.1 |
(12.3–20.6) |
Maui County, Hawaii |
1,466 |
16.4 |
1.5 |
(13.4–19.3) |
Ada County, Idaho |
865 |
13.1 |
1.4 |
(10.3–15.8) |
Bonneville County, Idaho |
522 |
18.9 |
2.4 |
(14.1–23.6) |
Canyon County, Idaho |
619 |
23.4 |
2.1 |
(19.2–27.5) |
Kootenai County, Idaho |
570 |
18.8 |
2.3 |
(14.2–23.3) |
Nez Perce County, Idaho |
381 |
22.7 |
2.8 |
(17.2–28.1) |
Twin Falls County, Idaho |
434 |
27.3 |
3.1 |
(21.2–33.3) |
Cook County, Illinois |
2,886 |
24.5 |
1.2 |
(22.1–26.8) |
DuPage County, Illinois |
256 |
21.0 |
3.0 |
(15.1–26.8) |
Allen County, Indiana |
585 |
24.9 |
2.4 |
(20.1–29.6) |
Lake County, Indiana |
1,002 |
29.1 |
2.4 |
(24.3–33.8) |
Marion County, Indiana |
1,461 |
23.8 |
1.8 |
(20.2–27.3) |
Linn County, Iowa |
495 |
26.0 |
2.6 |
(20.9–31.0) |
Polk County, Iowa |
767 |
22.9 |
1.9 |
(19.1–26.6) |
Johnson County, Kansas |
1,416 |
17.5 |
1.2 |
(15.1–19.8) |
Sedgwick County, Kansas |
1,438 |
23.3 |
1.4 |
(20.5–26.0) |
Shawnee County, Kansas |
624 |
20.7 |
1.9 |
(16.9–24.4) |
Wyandotte County, Kansas |
605 |
33.6 |
2.7 |
(28.3–38.8) |
Jefferson County, Kentucky |
410 |
26.0 |
2.6 |
(20.9–31.0) |
Caddo Parish, Louisiana |
447 |
39.0 |
3.3 |
(32.5–45.4) |
East Baton Rouge Parish, Louisiana |
722 |
25.1 |
2.3 |
(20.5–29.6) |
Jefferson Parish, Louisiana |
595 |
31.1 |
2.6 |
(26.0–36.1) |
Orleans Parish, Louisiana |
377 |
28.6 |
3.2 |
(22.3–34.8) |
St. Tammany Parish, Louisiana |
372 |
21.8 |
2.8 |
(16.3–27.2) |
Androscoggin County, Maine |
501 |
24.3 |
2.4 |
(19.5–29.0) |
Cumberland County, Maine |
1,389 |
14.5 |
1.2 |
(12.1–16.8) |
Kennebec County, Maine |
653 |
22.3 |
2.1 |
(18.1–26.4) |
Penobscot County, Maine |
691 |
24.1 |
2.1 |
(19.9–28.2) |
Sagadahoc County, Maine |
298 |
19.6 |
2.7 |
(14.3–24.8) |
York County, Maine |
940 |
22.0 |
1.7 |
(18.6–25.3) |
Anne Arundel County, Maryland |
602 |
18.6 |
2.0 |
(14.6–22.5) |
Baltimore County, Maryland |
1,054 |
26.0 |
1.6 |
(22.8–29.1) |
Cecil County, Maryland |
270 |
29.6 |
3.4 |
(22.9–36.2) |
Charles County, Maryland |
348 |
20.7 |
2.5 |
(15.8–25.6) |
Frederick County, Maryland |
577 |
20.9 |
2.2 |
(16.5–25.2) |
Harford County, Maryland |
279 |
23.7 |
2.8 |
(18.2–29.1) |
Howard County, Maryland |
342 |
19.0 |
3.2 |
(12.7–25.2) |
Montgomery County, Maryland |
1,065 |
16.3 |
1.5 |
(13.3–19.2) |
Prince George´s County, Maryland |
795 |
23.9 |
1.9 |
(20.1–27.6) |
Queen Anne´s County, Maryland |
294 |
23.0 |
2.9 |
(17.3–28.6) |
Washington County, Maryland |
407 |
25.5 |
2.7 |
(20.2–30.7) |
TABLE 45. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
534 |
31.6 |
2.9 |
(25.9–37.2) |
Bristol County, Massachusetts |
2,930 |
25.2 |
1.7 |
(21.8–28.5) |
Essex County, Massachusetts |
2,132 |
19.2 |
1.5 |
(16.2–22.1) |
Hampden County, Massachusetts |
1,590 |
25.3 |
1.8 |
(21.7–28.8) |
Hampshire County, Massachusetts |
275 |
13.5 |
2.7 |
(8.2–18.7) |
Middlesex County, Massachusetts |
3,023 |
17.0 |
1.1 |
(14.8–19.1) |
Norfolk County, Massachusetts |
860 |
19.2 |
1.8 |
(15.6–22.7) |
Plymouth County, Massachusetts |
687 |
19.9 |
2.4 |
(15.1–24.6) |
Suffolk County, Massachusetts |
1,761 |
23.0 |
1.8 |
(19.4–26.5) |
Worcester County, Massachusetts |
2,098 |
19.0 |
1.3 |
(16.4–21.5) |
Kent County, Michigan |
446 |
18.0 |
2.1 |
(13.8–22.1) |
Macomb County, Michigan |
516 |
21.4 |
2.2 |
(17.0–25.7) |
Oakland County, Michigan |
936 |
18.9 |
1.9 |
(15.1–22.6) |
Wayne County, Michigan |
1,913 |
28.3 |
1.7 |
(24.9–31.6) |
Anoka County, Minnesota |
396 |
22.9 |
2.8 |
(17.4–28.3) |
Dakota County, Minnesota |
570 |
14.9 |
2.1 |
(10.7–19.0) |
Hennepin County, Minnesota |
2,053 |
15.7 |
1.5 |
(12.7–18.6) |
Ramsey County, Minnesota |
919 |
15.7 |
2.5 |
(10.8–20.6) |
Washington County, Minnesota |
258 |
15.2 |
2.8 |
(9.7–20.6) |
DeSoto County, Mississippi |
369 |
23.2 |
2.8 |
(17.7–28.6) |
Hinds County, Mississippi |
340 |
33.7 |
3.5 |
(26.8–40.5) |
Jackson County, Missouri |
527 |
25.5 |
2.5 |
(20.6–30.4) |
St. Louis County, Missouri |
605 |
22.0 |
2.9 |
(16.3–27.6) |
St. Louis city, Missouri |
648 |
31.9 |
3.9 |
(24.2–39.5) |
Flathead County, Montana |
701 |
20.4 |
2.2 |
(16.0–24.7) |
Lewis and Clark County, Montana |
533 |
18.4 |
2.0 |
(14.4–22.3) |
Yellowstone County, Montana |
485 |
23.5 |
2.6 |
(18.4–28.5) |
Adams County, Nebraska |
480 |
21.9 |
3.0 |
(16.0–27.7) |
Dakota County, Nebraska |
740 |
31.4 |
2.2 |
(27.0–35.7) |
Douglas County, Nebraska |
951 |
26.1 |
2.0 |
(22.1–30.0) |
Hall County, Nebraska |
586 |
24.1 |
2.4 |
(19.3–28.8) |
Lancaster County, Nebraska |
847 |
17.6 |
1.9 |
(13.8–21.3) |
Lincoln County, Nebraska |
546 |
28.5 |
3.0 |
(22.6–34.3) |
Madison County, Nebraska |
468 |
25.7 |
3.1 |
(19.6–31.7) |
Sarpy County, Nebraska |
578 |
19.1 |
2.2 |
(14.7–23.4) |
Scotts Bluff County, Nebraska |
738 |
27.9 |
2.4 |
(23.1–32.6) |
Seward County, Nebraska |
283 |
26.2 |
3.4 |
(19.5–32.8) |
Clark County, Nevada |
1,269 |
23.7 |
1.6 |
(20.5–26.8) |
Washoe County, Nevada |
1,306 |
19.1 |
1.6 |
(15.9–22.2) |
Grafton County, New Hampshire |
517 |
18.5 |
2.2 |
(14.1–22.8) |
Hillsborough County, New Hampshire |
1,418 |
18.7 |
1.4 |
(15.9–21.4) |
Merrimack County, New Hampshire |
641 |
16.9 |
1.9 |
(13.1–20.6) |
Rockingham County, New Hampshire |
1,021 |
18.6 |
1.6 |
(15.4–21.7) |
Strafford County, New Hampshire |
585 |
21.1 |
2.2 |
(16.7–25.4) |
Atlantic County, New Jersey |
921 |
27.8 |
2.0 |
(23.8–31.7) |
Bergen County, New Jersey |
628 |
20.2 |
2.1 |
(16.0–24.3) |
Burlington County, New Jersey |
567 |
27.1 |
2.5 |
(22.2–32.0) |
Camden County, New Jersey |
604 |
26.9 |
2.6 |
(21.8–31.9) |
Cape May County, New Jersey |
520 |
24.9 |
2.4 |
(20.1–29.6) |
Essex County, New Jersey |
1,026 |
29.1 |
2.0 |
(25.1–33.0) |
Gloucester County, New Jersey |
524 |
25.3 |
2.5 |
(20.4–30.2) |
Hudson County, New Jersey |
1,101 |
28.7 |
1.7 |
(25.3–32.0) |
Hunterdon County, New Jersey |
515 |
17.8 |
2.0 |
(13.8–21.7) |
Mercer County, New Jersey |
504 |
24.8 |
2.6 |
(19.7–29.8) |
Middlesex County, New Jersey |
633 |
29.1 |
2.3 |
(24.5–33.6) |
Monmouth County, New Jersey |
564 |
20.3 |
2.2 |
(15.9–24.6) |
Morris County, New Jersey |
701 |
20.6 |
2.0 |
(16.6–24.5) |
Ocean County, New Jersey |
534 |
28.1 |
2.5 |
(23.2–33.0) |
Passaic County, New Jersey |
503 |
32.0 |
2.8 |
(26.5–37.4) |
Somerset County, New Jersey |
537 |
22.2 |
2.2 |
(17.8–26.5) |
Sussex County, New Jersey |
502 |
22.3 |
2.4 |
(17.5–27.0) |
Union County, New Jersey |
521 |
30.1 |
2.7 |
(24.8–35.3) |
Warren County, New Jersey |
481 |
24.2 |
2.5 |
(19.3–29.1) |
TABLE 45. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
1,263 |
16.4 |
1.5 |
(13.4–19.3) |
Dona Ana County, New Mexico |
504 |
24.5 |
2.8 |
(19.0–29.9) |
Sandoval County, New Mexico |
521 |
19.9 |
3.0 |
(14.0–25.7) |
San Juan County, New Mexico |
686 |
22.9 |
2.3 |
(18.3–27.4) |
Santa Fe County, New Mexico |
610 |
17.9 |
2.3 |
(13.3–22.4) |
Valencia County, New Mexico |
350 |
27.7 |
3.5 |
(20.8–34.5) |
Bronx County, New York |
434 |
31.0 |
2.8 |
(25.5–36.4) |
Erie County, New York |
479 |
24.6 |
2.7 |
(19.3–29.8) |
Kings County, New York |
909 |
27.2 |
1.9 |
(23.4–30.9) |
Monroe County, New York |
383 |
17.8 |
2.4 |
(13.0–22.5) |
Nassau County, New York |
478 |
21.3 |
2.3 |
(16.7–25.8) |
New York County, New York |
1,038 |
15.8 |
1.6 |
(12.6–18.9) |
Queens County, New York |
797 |
25.8 |
2.0 |
(21.8–29.7) |
Suffolk County, New York |
594 |
23.4 |
2.4 |
(18.6–28.1) |
Westchester County, New York |
384 |
19.4 |
2.5 |
(14.5–24.3) |
Buncombe County, North Carolina |
263 |
22.6 |
3.2 |
(16.3–28.8) |
Cabarrus County, North Carolina |
308 |
23.2 |
3.1 |
(17.1–29.2) |
Catawba County, North Carolina |
294 |
31.7 |
3.7 |
(24.4–38.9) |
Durham County, North Carolina |
621 |
19.8 |
2.2 |
(15.4–24.1) |
Gaston County, North Carolina |
267 |
30.6 |
4.0 |
(22.7–38.4) |
Guilford County, North Carolina |
695 |
20.5 |
2.0 |
(16.5–24.4) |
Johnston County, North Carolina |
276 |
33.8 |
3.6 |
(26.7–40.8) |
Mecklenburg County, North Carolina |
609 |
19.2 |
2.0 |
(15.2–23.1) |
Orange County, North Carolina |
299 |
15.8 |
2.3 |
(11.2–20.3) |
Randolph County, North Carolina |
398 |
28.9 |
3.1 |
(22.8–34.9) |
Union County, North Carolina |
349 |
18.0 |
2.5 |
(13.1–22.9) |
Wake County, North Carolina |
713 |
16.8 |
1.7 |
(13.4–20.1) |
Burleigh County, North Dakota |
558 |
17.5 |
2.1 |
(13.3–21.6) |
Cass County, North Dakota |
780 |
22.8 |
2.6 |
(17.7–27.8) |
Ward County, North Dakota |
465 |
26.3 |
2.5 |
(21.4–31.2) |
Cuyahoga County, Ohio |
721 |
23.0 |
2.0 |
(19.0–26.9) |
Franklin County, Ohio |
680 |
27.6 |
2.5 |
(22.7–32.5) |
Hamilton County, Ohio |
728 |
25.2 |
2.3 |
(20.6–29.7) |
Lucas County, Ohio |
730 |
26.3 |
2.2 |
(21.9–30.6) |
Mahoning County, Ohio |
730 |
26.3 |
2.2 |
(21.9–30.6) |
Montgomery County, Ohio |
703 |
24.2 |
2.3 |
(19.6–28.7) |
Stark County, Ohio |
716 |
27.3 |
2.2 |
(22.9–31.6) |
Summit County, Ohio |
703 |
21.0 |
2.3 |
(16.4–25.5) |
Cleveland County, Oklahoma |
434 |
21.1 |
2.5 |
(16.2–26.0) |
Oklahoma County, Oklahoma |
1,439 |
30.8 |
1.6 |
(27.6–33.9) |
Tulsa County, Oklahoma |
1,523 |
27.7 |
1.5 |
(24.7–30.6) |
Clackamas County, Oregon |
449 |
14.4 |
1.9 |
(10.6–18.1) |
Lane County, Oregon |
510 |
18.2 |
2.3 |
(13.6–22.7) |
Multnomah County, Oregon |
816 |
14.0 |
1.7 |
(10.6–17.3) |
Washington County, Oregon |
586 |
15.8 |
2.1 |
(11.6–19.9) |
Allegheny County, Pennsylvania |
1,379 |
23.7 |
1.4 |
(20.9–26.4) |
Lehigh County, Pennsylvania |
283 |
21.3 |
2.7 |
(16.0–26.5) |
Luzerne County, Pennsylvania |
313 |
31.0 |
3.2 |
(24.7–37.2) |
Montgomery County, Pennsylvania |
347 |
18.5 |
2.6 |
(13.4–23.5) |
Northampton County, Pennsylvania |
260 |
24.7 |
3.4 |
(18.0–31.3) |
Philadelphia County, Pennsylvania |
1,402 |
30.9 |
1.8 |
(27.3–34.4) |
Westmoreland County, Pennsylvania |
339 |
27.4 |
2.9 |
(21.7–33.0) |
Bristol County, Rhode Island |
278 |
20.7 |
3.2 |
(14.4–26.9) |
Kent County, Rhode Island |
940 |
23.7 |
1.8 |
(20.1–27.2) |
Newport County, Rhode Island |
488 |
17.4 |
2.1 |
(13.2–21.5) |
Providence County, Rhode Island |
4,144 |
26.7 |
1.0 |
(24.7–28.6) |
Washington County, Rhode Island |
746 |
20.0 |
2.1 |
(15.8–24.1) |
Aiken County, South Carolina |
474 |
26.4 |
2.6 |
(21.3–31.4) |
Beaufort County, South Carolina |
679 |
17.8 |
2.0 |
(13.8–21.7) |
Berkeley County, South Carolina |
355 |
NA |
NA |
NA |
Charleston County, South Carolina |
669 |
23.2 |
2.7 |
(17.9–28.4) |
Greenville County, South Carolina |
494 |
24.5 |
3.2 |
(18.2–30.7) |
Horry County, South Carolina |
554 |
22.7 |
2.3 |
(18.1–27.2) |
TABLE 45. (Continued) Estimated prevalence of adults aged ≥18 years who reported no leisure time physical activity* during the preceding month, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
664 |
28.4 |
3.2 |
(22.1–34.6) |
Minnehaha County, South Dakota |
605 |
21.1 |
2.1 |
(16.9–25.2) |
Pennington County, South Dakota |
668 |
23.3 |
2.1 |
(19.1–27.4) |
Davidson County, Tennessee |
417 |
29.0 |
3.2 |
(22.7–35.2) |
Hamilton County, Tennessee |
387 |
29.8 |
3.4 |
(23.1–36.4) |
Knox County, Tennessee |
370 |
24.7 |
3.3 |
(18.2–31.1) |
Shelby County, Tennessee |
393 |
24.8 |
3.0 |
(18.9–30.6) |
Sullivan County, Tennessee |
461 |
33.9 |
3.3 |
(27.4–40.3) |
Bexar County, Texas |
971 |
27.8 |
2.0 |
(23.8–31.7) |
Dallas County, Texas |
392 |
30.1 |
3.5 |
(23.2–36.9) |
El Paso County, Texas |
871 |
28.5 |
2.2 |
(24.1–32.8) |
Fort Bend County, Texas |
928 |
21.9 |
2.0 |
(17.9–25.8) |
Harris County, Texas |
1,459 |
24.2 |
1.5 |
(21.2–27.1) |
Hidalgo County, Texas |
597 |
36.0 |
2.7 |
(30.7–41.2) |
Lubbock County, Texas |
756 |
30.0 |
2.7 |
(24.7–35.2) |
Midland County, Texas |
524 |
33.3 |
3.0 |
(27.4–39.1) |
Potter County, Texas |
337 |
31.8 |
3.4 |
(25.1–38.4) |
Randall County, Texas |
459 |
17.7 |
2.5 |
(12.8–22.6) |
Smith County, Texas |
671 |
26.0 |
2.6 |
(20.9–31.0) |
Tarrant County, Texas |
602 |
22.8 |
2.6 |
(17.7–27.8) |
Travis County, Texas |
761 |
16.5 |
2.9 |
(10.8–22.1) |
Val Verde County, Texas |
558 |
NA |
NA |
NA |
Webb County, Texas |
922 |
34.2 |
2.1 |
(30.0–38.3) |
Wichita County, Texas |
678 |
29.3 |
2.6 |
(24.2–34.3) |
Davis County, Utah |
877 |
14.2 |
1.4 |
(11.4–16.9) |
Salt Lake County, Utah |
3,289 |
18.3 |
0.9 |
(16.5–20.0) |
Summit County, Utah |
453 |
14.8 |
2.7 |
(9.5–20.0) |
Tooele County, Utah |
570 |
20.1 |
2.2 |
(15.7–24.4) |
Utah County, Utah |
1,113 |
16.1 |
1.6 |
(12.9–19.2) |
Weber County, Utah |
776 |
19.8 |
1.9 |
(16.0–23.5) |
Chittenden County, Vermont |
1,429 |
11.7 |
1.0 |
(9.7–13.6) |
Franklin County, Vermont |
486 |
19.4 |
1.9 |
(15.6–23.1) |
Orange County, Vermont |
358 |
20.2 |
2.4 |
(15.4–24.9) |
Rutland County, Vermont |
659 |
22.6 |
2.1 |
(18.4–26.7) |
Washington County, Vermont |
670 |
16.1 |
1.9 |
(12.3–19.8) |
Windsor County, Vermont |
682 |
20.8 |
2.1 |
(16.6–24.9) |
Benton County, Washington |
391 |
19.7 |
2.5 |
(14.8–24.6) |
Clark County, Washington |
1,092 |
19.5 |
1.9 |
(15.7–23.2) |
Franklin County, Washington |
253 |
33.6 |
4.8 |
(24.1–43.0) |
King County, Washington |
3,042 |
15.3 |
0.9 |
(13.5–17.0) |
Kitsap County, Washington |
922 |
15.3 |
1.5 |
(12.3–18.2) |
Pierce County, Washington |
1,718 |
19.1 |
1.3 |
(16.5–21.6) |
Snohomish County, Washington |
1,652 |
18.1 |
1.3 |
(15.5–20.6) |
Spokane County, Washington |
1,217 |
18.3 |
1.5 |
(15.3–21.2) |
Thurston County, Washington |
775 |
15.2 |
1.5 |
(12.2–18.1) |
Yakima County, Washington |
741 |
25.1 |
2.4 |
(20.3–29.8) |
Kanawha County, West Virginia |
490 |
30.1 |
2.9 |
(24.4–35.7) |
Milwaukee County, Wisconsin |
1,219 |
26.3 |
2.5 |
(21.4–31.2) |
Laramie County, Wyoming |
913 |
23.1 |
1.7 |
(19.7–26.4) |
Natrona County, Wyoming |
767 |
23.2 |
2.0 |
(19.2–27.1) |
Median |
22.8 |
|||
Range |
8.5-39.0 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise. † Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 47. (Continued) Estimated prevalence of adults aged ≥ 18 years who are overweight,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
920 |
36.0 |
3.3 |
(29.5–42.4) |
Grand Island, Nebraska |
836 |
39.9 |
2.4 |
(35.1–44.6) |
Grand Rapids-Wyoming, Michigan |
597 |
38.7 |
2.9 |
(33.0–44.3) |
Greensboro-High Point, North Carolina |
1,107 |
38.6 |
2.5 |
(33.7–43.5) |
Greenville, South Carolina |
746 |
33.9 |
2.9 |
(28.2–39.5) |
Hagerstown-Martinsburg, Maryland-West Virginia |
607 |
33.6 |
2.6 |
(28.5–38.6) |
Hartford-West Hartford-East Hartford, Connecticut |
1,914 |
37.9 |
1.6 |
(34.7–41.0) |
Hastings, Nebraska |
568 |
35.8 |
2.9 |
(30.1–41.4) |
Helena, Montana |
623 |
39.6 |
2.8 |
(34.1–45.0) |
Hickory-Morganton-Lenoir, North Carolina |
583 |
41.7 |
2.7 |
(36.4–46.9) |
Hilo, Hawaii |
1,462 |
33.9 |
1.7 |
(30.5–37.2) |
Hilton Head Island-Beaufort, South Carolina |
766 |
37.5 |
2.6 |
(32.4–42.5) |
Homosassa Springs, Florida |
509 |
38.0 |
3.0 |
(32.1–43.8) |
Honolulu, Hawaii |
2,899 |
34.2 |
1.2 |
(31.8–36.5) |
Houston-Sugar Land-Baytown, Texas |
2,607 |
34.0 |
1.5 |
(31.0–36.9) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
626 |
35.8 |
2.8 |
(30.3–41.2) |
Idaho Falls, Idaho |
637 |
35.8 |
2.4 |
(31.0–40.5) |
Indianapolis-Carmel, Indiana |
2,145 |
35.7 |
1.5 |
(32.7–38.6) |
Jackson, Mississippi |
724 |
33.5 |
2.3 |
(28.9–38.0) |
Jacksonville, Florida |
2,499 |
35.4 |
1.9 |
(31.6–39.1) |
Kahului-Wailuku, Hawaii |
1,444 |
35.9 |
2.0 |
(31.9–39.8) |
Kalispell, Montana |
682 |
41.2 |
2.5 |
(36.3–46.1) |
Kansas City, Missouri-Kansas |
3,245 |
36.0 |
1.4 |
(33.2–38.7) |
Kapaa, Hawaii |
638 |
31.8 |
2.5 |
(26.9–36.7) |
Kennewick-Richland-Pasco, Washington |
600 |
35.1 |
2.7 |
(29.8–40.3) |
Key West-Marathon, Florida |
497 |
37.1 |
3.2 |
(30.8–43.3) |
Kingsport-Bristol, Tennessee-Virginia |
608 |
33.4 |
3.4 |
(26.7–40.0) |
Knoxville, Tennessee |
505 |
34.1 |
3.2 |
(27.8–40.3) |
Lake City, Florida |
538 |
39.1 |
3.2 |
(32.8–45.3) |
Lakeland-Winter Haven, Florida |
496 |
33.0 |
2.8 |
(27.5–38.4) |
Laredo, Texas |
837 |
37.6 |
2.3 |
(33.0–42.1) |
Las Cruces, New Mexico |
471 |
37.2 |
3.4 |
(30.5–43.8) |
Las Vegas-Paradise, Nevada |
1,234 |
37.3 |
1.9 |
(33.5–41.0) |
Lebanon, New Hampshire-Vermont |
1,497 |
34.6 |
1.7 |
(31.2–37.9) |
Lewiston, Idaho-Washington |
573 |
38.3 |
2.8 |
(32.8–43.7) |
Lewiston-Auburn, Maine |
489 |
34.9 |
2.8 |
(29.4–40.3) |
Lincoln, Nebraska |
1,110 |
32.5 |
2.3 |
(27.9–37.0) |
Little Rock-North Little Rock, Arkansas |
776 |
36.0 |
2.8 |
(30.5–41.4) |
Los Angeles-Long Beach-Glendale, California† |
2,461 |
38.2 |
1.3 |
(35.6–40.7) |
Louisville, Kentucky-Indiana |
867 |
35.1 |
2.3 |
(30.5–39.6) |
Lubbock, Texas |
739 |
32.5 |
2.6 |
(27.4–37.5) |
Manchester-Nashua, New Hampshire |
1,371 |
35.8 |
1.8 |
(32.2–39.3) |
McAllen-Edinburg-Mission, Texas |
551 |
35.8 |
2.8 |
(30.3–41.2) |
Memphis, Tennessee-Mississippi-Arkansas |
1,106 |
35.3 |
2.8 |
(29.8–40.7) |
Miami-Fort Lauderdale-Miami Beach, Florida |
999 |
37.5 |
2.2 |
(33.1–41.8) |
Midland, Texas |
497 |
37.6 |
3.1 |
(31.5–43.6) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,444 |
35.0 |
2.2 |
(30.6–39.3) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
4,570 |
36.7 |
1.4 |
(33.9–39.4) |
Minot, North Dakota |
520 |
40.4 |
2.7 |
(35.1–45.6) |
Mobile, Alabama |
639 |
33.6 |
2.8 |
(28.1–39.0) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
533 |
41.2 |
3.1 |
(35.1–47.2) |
Naples-Marco Island, Florida |
502 |
36.4 |
3.3 |
(29.9–42.8) |
Nashville-Davidson-Murfreesboro, Tennessee |
778 |
37.4 |
2.7 |
(32.1–42.6) |
Nassau-Suffolk, New York† |
1,023 |
36.8 |
1.9 |
(33.0–40.5) |
Newark-Union, New Jersey-Pennsylvania† |
3,080 |
37.9 |
1.4 |
(35.1–40.6) |
New Haven-Milford, Connecticut |
1,599 |
34.9 |
2.0 |
(30.9–38.8) |
New Orleans-Metairie-Kenner, Louisiana |
1,466 |
37.2 |
1.8 |
(33.6–40.7) |
New York-White Plains-Wayne, New York-New Jersey† |
5,845 |
37.6 |
0.9 |
(35.8–39.3) |
Norfolk, Nebraska |
646 |
38.4 |
2.7 |
(33.1–43.6) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
569 1,092 |
34.6 36.4 |
2.9 2.1 |
(28.9–40.2) (32.2 – 40.5) |
Ocala, Florida |
568 |
33.7 |
2.9 |
(28.0–39.3) |
Ocean City, New Jersey |
487 |
37.6 |
2.8 |
(32.1–43.0) |
TABLE 47. (Continued) Estimated prevalence of adults aged ≥ 18 years who are overweight,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
1,603 |
34.2 |
1.5 |
(31.2–37.1) |
Oklahoma City, Oklahoma |
2,391 |
34.8 |
1.3 |
(32.2–37.3) |
Olympia, Washington |
737 |
33.7 |
2.3 |
(29.1–38.2) |
Omaha-Council Bluffs, Nebraska-Iowa |
2,275 |
37.2 |
1.5 |
(34.2–40.1) |
Orlando-Kissimmee, Florida |
2,537 |
37.4 |
1.5 |
(34.4–40.3) |
Palm Bay-Melbourne-Titusville, Florida |
513 |
37.4 |
3.0 |
(31.5–43.2) |
Panama City-Lynn Haven, Florida |
526 |
37.9 |
3.6 |
(30.8–44.9) |
Peabody, Massachusetts |
1,969 |
36.7 |
2.1 |
(32.5–40.8) |
Pensacola-Ferry Pass-Brent, Florida |
977 |
35.0 |
2.2 |
(30.6–39.3) |
Philadelphia, Pennsylvania† |
2,261 |
35.7 |
1.6 |
(32.5–38.8) |
Phoenix-Mesa-Scottsdale, Arizona |
1,608 |
41.1 |
2.0 |
(37.1–45.0) |
Pittsburgh, Pennsylvania |
2,303 |
35.7 |
1.4 |
(32.9–38.4) |
Portland-South Portland-Biddeford, Maine |
2,533 |
38.6 |
1.3 |
(36.0–41.1) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,228 |
33.7 |
1.3 |
(31.1–36.2) |
Port St. Lucie-Fort Pierce, Florida |
991 |
36.5 |
2.4 |
(31.7–41.2) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
9,024 |
37.9 |
0.9 |
(36.1–39.6) |
Provo-Orem, Utah |
1,117 |
33.9 |
2.1 |
(29.7–38.0) |
Raleigh-Cary, North Carolina |
963 |
36.0 |
2.1 |
(31.8–40.1) |
Rapid City, South Dakota |
813 |
42.2 |
2.2 |
(37.8–46.5) |
Reno-Sparks, Nevada |
1,270 |
36.8 |
1.8 |
(33.2–40.3) |
Richmond, Virginia |
751 |
41.1 |
2.9 |
(35.4–46.7) |
Riverside-San Bernardino-Ontario, California |
1,772 |
36.4 |
1.6 |
(33.2–39.5) |
Rochester, New York |
538 |
34.5 |
2.9 |
(28.8–40.1) |
Rockingham County-Strafford County, New Hampshire† |
1,551 |
36.1 |
1.6 |
(32.9–39.2) |
Rutland, Vermont |
628 |
33.3 |
2.4 |
(28.5–38.0) |
Sacramento-Arden-Arcade-Roseville, California |
1,232 |
35.1 |
2.0 |
(31.1–39.0) |
St. Louis, Missouri-Illinois |
1,679 |
33.9 |
1.9 |
(30.1–37.6) |
Salt Lake City, Utah |
4,103 |
34.6 |
1.0 |
(32.6–36.5) |
San Antonio, Texas |
1,084 |
33.5 |
2.1 |
(29.3–37.6) |
San Diego-Carlsbad-San Marcos, California |
1,616 |
32.8 |
1.5 |
(29.8–35.7) |
San Francisco-Oakland-Fremont, California |
2,258 |
36.9 |
1.4 |
(34.1–39.6) |
San Jose-Sunnyvale-Santa Clara, California |
875 |
39.1 |
2.2 |
(34.7–43.4) |
Santa Ana-Anaheim-Irvine, California† |
1,362 |
36.3 |
1.8 |
(32.7–39.8) |
Santa Fe, New Mexico |
587 |
32.9 |
2.7 |
(27.6–38.1) |
Scottsbluff, Nebraska |
736 |
39.1 |
2.7 |
(33.8–44.3) |
Scranton-Wilkes-Barre, Pennsylvania |
530 |
35.7 |
2.8 |
(30.2–41.1) |
Seaford, Delaware |
1,174 |
37.7 |
2.1 |
(33.5–41.8) |
Seattle-Bellevue-Everett, Washington† |
4,467 |
34.9 |
1.0 |
(32.9–36.8) |
Sebring, Florida |
498 |
35.0 |
3.2 |
(28.7–41.2) |
Shreveport-Bossier City, Louisiana |
653 |
36.3 |
2.6 |
(31.2–41.3) |
Sioux City, Iowa-Nebraska-South Dakota |
1,166 |
35.7 |
3.3 |
(29.2–42.1) |
Sioux Falls, South Dakota |
794 |
39.9 |
2.3 |
(35.3–44.4) |
Spokane, Washington |
1,165 |
39.7 |
2.1 |
(35.5–43.8) |
Springfield, Massachusetts |
1,897 |
35.0 |
2.0 |
(31.0–38.9) |
Tacoma, Washington† |
1,620 |
36.5 |
1.6 |
(33.3–39.6) |
Tallahassee, Florida |
1,956 |
39.9 |
2.7 |
(34.6–45.1) |
Tampa-St. Petersburg-Clearwater, Florida |
1,966 |
38.2 |
1.9 |
(34.4–41.9) |
Toledo, Ohio |
816 |
38.6 |
2.5 |
(33.7–43.5) |
Topeka, Kansas |
799 |
35.0 |
2.2 |
(30.6–39.3) |
Trenton-Ewing, New Jersey |
471 |
33.6 |
2.9 |
(27.9–39.2) |
Tucson, Arizona |
669 |
31.8 |
2.6 |
(26.7–36.8) |
Tulsa, Oklahoma |
2,044 |
36.3 |
1.5 |
(33.3–39.2) |
Tuscaloosa, Alabama |
497 |
38.0 |
3.3 |
(31.5–44.4) |
Twin Falls, Idaho |
507 |
33.2 |
2.8 |
(27.7–38.6) |
Tyler, Texas |
642 |
35.2 |
3.0 |
(29.3–41.0) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,033 |
32.0 |
2.3 |
(27.4–36.5) |
Warren-Troy-Farmington Hills, Michigan† |
1,743 |
35.2 |
1.7 |
(31.8–38.5) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia† |
6,143 |
37.0 |
1.8 |
(33.4–40.5) |
Wauchula, Florida |
494 |
40.6 |
4.1 |
(32.5–48.6) |
West Palm Beach-Boca Raton-Boynton Beach, Florida* |
532 |
40.1 |
3.1 |
(34.0–46.1) |
Wichita, Kansas |
1,769 |
34.4 |
1.6 |
(31.2–37.5) |
Wichita Falls, Texas |
792 |
39.2 |
2.9 |
(33.5–44.8) |
Wilmington, Delaware-Maryland-New Jersey† |
2,098 |
34.2 |
1.4 |
(31.4–36.9) |
TABLE 47. (Continued) Estimated prevalence of adults aged ≥ 18 years who are overweight,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
1,953 |
35.8 |
2.0 |
(31.8–39.7) |
Yakima, Washington |
677 |
37.0 |
2.6 |
(31.9–42.0) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,010 |
35.5 |
2.8 |
(30.0–40.9) |
Median |
36.0 |
|||
Range |
28.5-42.5 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Body mass index ≥25.0 to <30.0 kg/m². † Metropolitan division. § Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 48. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
497 |
37.1 |
3.2 |
(30.8–43.3) |
Nassau County, Florida |
513 |
34.2 |
4.0 |
(26.3–42.0) |
Orange County, Florida |
959 |
35.7 |
2.2 |
(31.3–40.0) |
Osceola County, Florida |
531 |
40.2 |
3.1 |
(34.1–46.2) |
Palm Beach County, Florida |
532 |
40.1 |
3.1 |
(34.0–46.1) |
Pasco County, Florida |
520 |
37.6 |
3.3 |
(31.1–44.0) |
Pinellas County, Florida |
483 |
40.1 |
3.1 |
(34.0–46.1) |
Polk County, Florida |
496 |
33.0 |
2.8 |
(27.5–38.4) |
St. Johns County, Florida |
509 |
38.5 |
2.9 |
(32.8–44.1) |
St. Lucie County, Florida |
483 |
36.0 |
2.9 |
(30.3–41.6) |
Santa Rosa County, Florida |
479 |
33.3 |
2.8 |
(27.8–38.7) |
Sarasota County, Florida |
587 |
36.8 |
2.8 |
(31.3–42.2) |
Seminole County, Florida |
469 |
36.8 |
3.0 |
(30.9–42.6) |
Volusia County, Florida |
826 |
38.0 |
2.7 |
(32.7–43.2) |
Wakulla County, Florida |
511 |
38.7 |
3.7 |
(31.4–45.9) |
Cobb County, Georgia |
242 |
37.4 |
3.9 |
(29.7–45.0) |
DeKalb County, Georgia |
325 |
32.1 |
3.4 |
(25.4–38.7) |
Fulton County, Georgia |
317 |
32.5 |
3.7 |
(25.2–39.7) |
Gwinnett County, Georgia |
235 |
37.9 |
3.9 |
(30.2–45.5) |
Hawaii County, Hawaii |
1,462 |
33.9 |
1.7 |
(30.5–37.2) |
Honolulu County, Hawaii |
2,899 |
34.2 |
1.2 |
(31.8–36.5) |
Kauai County, Hawaii |
638 |
31.8 |
2.5 |
(26.9–36.7) |
Maui County, Hawaii |
1,444 |
35.9 |
2.0 |
(31.9–39.8) |
Ada County, Idaho |
819 |
33.2 |
2.3 |
(28.6–37.7) |
Bonneville County, Idaho |
496 |
34.3 |
2.7 |
(29.0–39.5) |
Canyon County, Idaho |
583 |
41.3 |
2.9 |
(35.6–46.9) |
Kootenai County, Idaho |
550 |
39.8 |
3.1 |
(33.7–45.8) |
Nez Perce County, Idaho |
363 |
40.1 |
3.5 |
(33.2–46.9) |
Twin Falls County, Idaho |
404 |
34.3 |
3.1 |
(28.2–40.3) |
Cook County, Illinois |
2,831 |
34.2 |
1.3 |
(31.6–36.7) |
DuPage County, Illinois |
255 |
33.9 |
3.6 |
(26.8–40.9) |
Allen County, Indiana |
557 |
35.7 |
2.7 |
(30.4–40.9) |
Lake County, Indiana |
954 |
38.9 |
3.0 |
(33.0–44.7) |
Marion County, Indiana |
1,383 |
34.8 |
2.1 |
(30.6–38.9) |
Linn County, Iowa |
475 |
31.8 |
2.7 |
(26.5–37.0) |
Polk County, Iowa |
728 |
38.9 |
2.4 |
(34.1–43.6) |
Johnson County, Kansas |
1,367 |
35.3 |
1.6 |
(32.1–38.4) |
Sedgwick County, Kansas |
1,379 |
34.8 |
1.7 |
(31.4–38.1) |
Shawnee County, Kansas |
596 |
34.7 |
2.6 |
(29.6–39.7) |
Wyandotte County, Kansas |
568 |
29.5 |
2.7 |
(24.2–34.7) |
Jefferson County, Kentucky |
391 |
37.6 |
3.2 |
(31.3–43.8) |
Caddo Parish, Louisiana |
426 |
38.3 |
3.1 |
(32.2–44.3) |
East Baton Rouge Parish, Louisiana |
700 |
32.1 |
2.3 |
(27.5–36.6) |
Jefferson Parish, Louisiana |
566 |
35.0 |
2.6 |
(29.9–40.0) |
Orleans Parish, Louisiana |
360 |
32.6 |
3.2 |
(26.3–38.8) |
St. Tammany Parish, Louisiana |
352 |
39.1 |
3.6 |
(32.0–46.1) |
Androscoggin County, Maine |
489 |
34.9 |
2.8 |
(29.4–40.3) |
Cumberland County, Maine |
1,334 |
40.4 |
1.9 |
(36.6–44.1) |
Kennebec County, Maine |
630 |
33.4 |
2.4 |
(28.6–38.1) |
Penobscot County, Maine |
667 |
35.4 |
2.4 |
(30.6–40.1) |
Sagadahoc County, Maine |
287 |
42.9 |
3.6 |
(35.8–49.9) |
York County, Maine |
912 |
36.4 |
2.0 |
(32.4–40.3) |
Anne Arundel County, Maryland |
579 |
38.3 |
2.6 |
(33.2–43.3) |
Baltimore County, Maryland |
991 |
38.5 |
2.1 |
(34.3–42.6) |
Cecil County, Maryland |
259 |
35.2 |
3.7 |
(27.9–42.4) |
Charles County, Maryland |
331 |
38.4 |
3.3 |
(31.9–44.8) |
Frederick County, Maryland |
537 |
39.0 |
2.8 |
(33.5–44.4) |
Harford County, Maryland |
268 |
38.0 |
3.7 |
(30.7–45.2) |
Howard County, Maryland |
331 |
37.6 |
3.5 |
(30.7–44.4) |
Montgomery County, Maryland |
998 |
36.9 |
2.0 |
(32.9–40.8) |
Prince George´s County, Maryland |
746 |
40.5 |
2.5 |
(35.6–45.4) |
Queen Anne´s County, Maryland |
280 |
37.7 |
3.6 |
(30.6–44.7) |
Washington County, Maryland |
378 |
34.5 |
3.2 |
(28.2–40.7) |
TABLE 48. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
510 |
41.2 |
3.1 |
(35.1–47.2) |
Bristol County, Massachusetts |
2,687 |
38.8 |
2.1 |
(34.6–42.9) |
Essex County, Massachusetts |
1,969 |
36.8 |
2.3 |
(32.2–41.3) |
Hampden County, Massachusetts |
1,469 |
36.3 |
2.4 |
(31.5–41.0) |
Hampshire County, Massachusetts |
257 |
33.6 |
4.2 |
(25.3–41.8) |
Middlesex County, Massachusetts |
2,814 |
35.3 |
1.6 |
(32.1–38.4) |
Norfolk County, Massachusetts |
798 |
35.4 |
2.2 |
(31.0–39.7) |
Plymouth County, Massachusetts |
633 |
34.8 |
2.7 |
(29.5–40.0) |
Suffolk County, Massachusetts |
1,634 |
33.3 |
2.1 |
(29.1–37.4) |
Worcester County, Massachusetts |
1,953 |
35.8 |
2.0 |
(31.8–39.7) |
Kent County, Michigan |
426 |
38.2 |
3.4 |
(31.5–44.8) |
Macomb County, Michigan |
503 |
35.4 |
2.8 |
(29.9–40.8) |
Oakland County, Michigan |
907 |
34.0 |
2.2 |
(29.6–38.3) |
Wayne County, Michigan |
1,840 |
34.0 |
1.8 |
(30.4–37.5) |
Anoka County, Minnesota |
363 |
36.2 |
3.5 |
(29.3–43.0) |
Dakota County, Minnesota |
548 |
39.1 |
3.0 |
(33.2–44.9) |
Hennepin County, Minnesota |
1,929 |
38.4 |
2.1 |
(34.2–42.5) |
Ramsey County, Minnesota |
864 |
35.5 |
4.0 |
(27.6–43.3) |
Washington County, Minnesota |
238 |
38.3 |
4.2 |
(30.0–46.5) |
DeSoto County, Mississippi |
356 |
34.7 |
3.7 |
(27.4–41.9) |
Hinds County, Mississippi |
325 |
33.3 |
3.7 |
(26.0–40.5) |
Jackson County, Missouri |
510 |
35.7 |
2.9 |
(30.0–41.3) |
St. Louis County, Missouri |
579 |
33.1 |
3.2 |
(26.8–39.3) |
St. Louis city, Missouri |
617 |
30.8 |
2.9 |
(25.1–36.4) |
Flathead County, Montana |
682 |
41.2 |
2.5 |
(36.3–46.1) |
Lewis and Clark County, Montana |
516 |
38.8 |
2.8 |
(33.3–44.2) |
Yellowstone County, Montana |
473 |
36.8 |
3.2 |
(30.5–43.0) |
Adams County, Nebraska |
460 |
36.0 |
3.2 |
(29.7–42.2) |
Dakota County, Nebraska |
710 |
40.4 |
2.5 |
(35.5–45.3) |
Douglas County, Nebraska |
916 |
37.0 |
2.2 |
(32.6–41.3) |
Hall County, Nebraska |
567 |
42.1 |
2.9 |
(36.4–47.7) |
Lancaster County, Nebraska |
829 |
32.0 |
2.4 |
(27.2–36.7) |
Lincoln County, Nebraska |
537 |
34.6 |
3.0 |
(28.7–40.4) |
Madison County, Nebraska |
444 |
39.8 |
3.4 |
(33.1–46.4) |
Sarpy County, Nebraska |
558 |
40.6 |
3.1 |
(34.5–46.6) |
Scotts Bluff County, Nebraska |
713 |
40.4 |
2.8 |
(34.9–45.8) |
Seward County, Nebraska |
281 |
38.1 |
4.2 |
(29.8–46.3) |
Clark County, Nevada |
1,234 |
37.3 |
1.9 |
(33.5–41.0) |
Washoe County, Nevada |
1,250 |
36.6 |
1.8 |
(33.0–40.1) |
Grafton County, New Hampshire |
501 |
33.7 |
2.8 |
(28.2–39.1) |
Hillsborough County, New Hampshire |
1,371 |
35.8 |
1.8 |
(32.2–39.3) |
Merrimack County, New Hampshire |
616 |
40.9 |
2.8 |
(35.4–46.3) |
Rockingham County, New Hampshire |
978 |
36.4 |
2.0 |
(32.4–40.3) |
Strafford County, New Hampshire |
573 |
36.6 |
2.8 |
(31.1–42.0) |
Atlantic County, New Jersey |
863 |
42.5 |
2.3 |
(37.9–47.0) |
Bergen County, New Jersey |
579 |
33.4 |
2.5 |
(28.5–38.3) |
Burlington County, New Jersey |
530 |
34.7 |
2.8 |
(29.2–40.1) |
Camden County, New Jersey |
564 |
36.6 |
2.9 |
(30.9–42.2) |
Cape May County, New Jersey |
487 |
37.6 |
2.8 |
(32.1–43.0) |
Essex County, New Jersey |
948 |
36.9 |
2.1 |
(32.7–41.0) |
Gloucester County, New Jersey |
487 |
38.9 |
2.9 |
(33.2–44.5) |
Hudson County, New Jersey |
1,025 |
34.8 |
1.9 |
(31.0–38.5) |
Hunterdon County, New Jersey |
474 |
42.2 |
3.0 |
(36.3–48.0) |
Mercer County, New Jersey |
471 |
33.6 |
2.9 |
(27.9–39.2) |
Middlesex County, New Jersey |
590 |
37.3 |
2.6 |
(32.2–42.3) |
Monmouth County, New Jersey |
519 |
40.1 |
2.9 |
(34.4–45.7) |
Morris County, New Jersey |
649 |
40.4 |
2.6 |
(35.3–45.4) |
Ocean County, New Jersey |
490 |
41.5 |
2.9 |
(35.8–47.1) |
Passaic County, New Jersey |
474 |
37.2 |
3.0 |
(31.3–43.0) |
Somerset County, New Jersey |
509 |
35.7 |
2.6 |
(30.6–40.7) |
Sussex County, New Jersey |
468 |
38.6 |
2.9 |
(32.9–44.2) |
Union County, New Jersey |
483 |
44.6 |
3.0 |
(38.7–50.4) |
Warren County, New Jersey |
451 |
36.9 |
3.1 |
(30.8–42.9) |
TABLE 48. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
1,223 |
33.7 |
1.9 |
(29.9–37.4) |
Dona Ana County, New Mexico |
471 |
37.2 |
3.4 |
(30.5–43.8) |
Sandoval County, New Mexico |
503 |
37.1 |
3.2 |
(30.8–43.3) |
San Juan County, New Mexico |
661 |
31.4 |
2.5 |
(26.5–36.3) |
Santa Fe County, New Mexico |
587 |
32.9 |
2.7 |
(27.6–38.1) |
Valencia County, New Mexico |
342 |
42.7 |
3.8 |
(35.2–50.1) |
Bronx County, New York |
410 |
43.2 |
3.2 |
(36.9–49.4) |
Erie County, New York |
452 |
37.6 |
3.2 |
(31.3–43.8) |
Kings County, New York |
862 |
36.7 |
2.3 |
(32.1–41.2) |
Monroe County, New York |
360 |
36.1 |
3.5 |
(29.2–42.9) |
Nassau County, New York |
456 |
39.2 |
2.9 |
(33.5–44.8) |
New York County, New York |
992 |
35.1 |
2.3 |
(30.5–39.6) |
Queens County, New York |
755 |
43.3 |
2.5 |
(38.4–48.2) |
Suffolk County, New York |
567 |
33.3 |
2.5 |
(28.4–38.2) |
Westchester County, New York |
364 |
44.0 |
3.3 |
(37.5–50.4) |
Buncombe County, North Carolina |
245 |
32.3 |
3.8 |
(24.8–39.7) |
Cabarrus County, North Carolina |
297 |
32.3 |
3.5 |
(25.4–39.1) |
Catawba County, North Carolina |
286 |
45.7 |
3.9 |
(38.0–53.3) |
Durham County, North Carolina |
596 |
33.0 |
2.7 |
(27.7–38.2) |
Gaston County, North Carolina |
254 |
37.3 |
3.9 |
(29.6–44.9) |
Guilford County, North Carolina |
656 |
34.5 |
2.6 |
(29.4–39.5) |
Johnston County, North Carolina |
255 |
38.5 |
3.8 |
(31.0–45.9) |
Mecklenburg County, North Carolina |
569 |
34.5 |
2.9 |
(28.8–40.1) |
Orange County, North Carolina |
282 |
35.6 |
3.8 |
(28.1–43.0) |
Randolph County, North Carolina |
383 |
44.4 |
3.5 |
(37.5–51.2) |
Union County, North Carolina |
330 |
38.3 |
3.8 |
(30.8–45.7) |
Wake County, North Carolina |
671 |
36.3 |
2.5 |
(31.4–41.2) |
Burleigh County, North Dakota |
536 |
36.3 |
2.9 |
(30.6–41.9) |
Cass County, North Dakota |
733 |
34.6 |
2.8 |
(29.1–40.0) |
Ward County, North Dakota |
434 |
41.2 |
3.0 |
(35.3–47.0) |
Cuyahoga County, Ohio |
670 |
36.2 |
2.5 |
(31.3–41.1) |
Franklin County, Ohio |
643 |
32.5 |
2.6 |
(27.4–37.5) |
Hamilton County, Ohio |
685 |
33.1 |
2.6 |
(28.0–38.1) |
Lucas County, Ohio |
691 |
38.5 |
2.6 |
(33.4–43.5) |
Mahoning County, Ohio |
696 |
38.3 |
2.9 |
(32.6–43.9) |
Montgomery County, Ohio |
665 |
37.0 |
2.6 |
(31.9–42.0) |
Stark County, Ohio |
683 |
35.7 |
2.5 |
(30.8–40.6) |
Summit County, Ohio |
670 |
32.6 |
2.9 |
(26.9–38.2) |
Cleveland County, Oklahoma |
423 |
38.2 |
3.1 |
(32.1–44.2) |
Oklahoma County, Oklahoma |
1,384 |
34.5 |
1.7 |
(31.1–37.8) |
Tulsa County, Oklahoma |
1,440 |
36.1 |
1.7 |
(32.7–39.4) |
Clackamas County, Oregon |
427 |
34.9 |
3.1 |
(28.8–40.9) |
Lane County, Oregon |
496 |
30.1 |
2.9 |
(24.4–35.7) |
Multnomah County, Oregon |
778 |
30.2 |
2.2 |
(25.8–34.5) |
Washington County, Oregon |
551 |
39.2 |
2.8 |
(33.7–44.6) |
Allegheny County, Pennsylvania |
1,315 |
33.3 |
1.8 |
(29.7–36.8) |
Lehigh County, Pennsylvania |
273 |
34.9 |
3.3 |
(28.4–41.3) |
Luzerne County, Pennsylvania |
298 |
33.0 |
3.7 |
(25.7–40.2) |
Montgomery County, Pennsylvania |
330 |
35.7 |
3.5 |
(28.8–42.5) |
Northampton County, Pennsylvania |
247 |
35.0 |
4.6 |
(25.9–44.0) |
Philadelphia County, Pennsylvania |
1,337 |
35.3 |
1.8 |
(31.7–38.8) |
Westmoreland County, Pennsylvania |
322 |
39.9 |
3.4 |
(33.2–46.5) |
Bristol County, Rhode Island |
266 |
39.6 |
3.8 |
(32.1–47.0) |
Kent County, Rhode Island |
901 |
39.4 |
2.2 |
(35.0–43.7) |
Newport County, Rhode Island |
474 |
40.1 |
3.0 |
(34.2–45.9) |
Providence County, Rhode Island |
3,971 |
37.0 |
1.2 |
(34.6–39.3) |
Washington County, Rhode Island |
725 |
38.1 |
2.6 |
(33.0–43.1) |
Aiken County, South Carolina |
457 |
35.8 |
2.9 |
(30.1–41.4) |
Beaufort County, South Carolina |
649 |
39.0 |
2.8 |
(33.5–44.4) |
Berkeley County, South Carolina |
341 |
30.0 |
4.5 |
(21.1–38.8) |
Charleston County, South Carolina |
644 |
36.7 |
3.4 |
(30.0–43.3) |
Greenville County, South Carolina |
474 |
33.2 |
3.2 |
(26.9–39.4) |
Horry County, South Carolina |
533 |
41.2 |
3.1 |
(35.1–47.2) |
TABLE 48. (Continued) Estimated prevalence of adults aged ≥18 years who are overweight,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
642 |
34.2 |
3.5 |
(27.3–41.0) |
Minnehaha County, South Dakota |
573 |
39.5 |
2.8 |
(34.0–44.9) |
Pennington County, South Dakota |
639 |
42.7 |
2.5 |
(37.8–47.6) |
Davidson County, Tennessee |
388 |
33.6 |
3.8 |
(26.1–41.0) |
Hamilton County, Tennessee |
359 |
37.3 |
3.7 |
(30.0–44.5) |
Knox County, Tennessee |
355 |
33.1 |
3.5 |
(26.2–39.9) |
Shelby County, Tennessee |
375 |
38.0 |
4.0 |
(30.1–45.8) |
Sullivan County, Tennessee |
437 |
36.5 |
3.4 |
(29.8–43.1) |
Bexar County, Texas |
932 |
34.0 |
2.2 |
(29.6–38.3) |
Dallas County, Texas |
367 |
27.2 |
3.4 |
(20.5–33.8) |
El Paso County, Texas |
813 |
41.1 |
2.6 |
(36.0–46.1) |
Fort Bend County, Texas |
887 |
36.3 |
2.2 |
(31.9–40.6) |
Harris County, Texas |
1,384 |
33.9 |
1.8 |
(30.3–37.4) |
Hidalgo County, Texas |
551 |
35.8 |
2.8 |
(30.3–41.2) |
Lubbock County, Texas |
717 |
33.0 |
2.6 |
(27.9–38.0) |
Midland County, Texas |
497 |
37.6 |
3.1 |
(31.5–43.6) |
Potter County, Texas |
329 |
34.0 |
3.4 |
(27.3–40.6) |
Randall County, Texas |
447 |
39.5 |
3.6 |
(32.4–46.5) |
Smith County, Texas |
642 |
35.2 |
3.0 |
(29.3–41.0) |
Tarrant County, Texas |
570 |
34.5 |
3.1 |
(28.4–40.5) |
Travis County, Texas |
715 |
38.5 |
4.6 |
(29.4–47.5) |
Val Verde County, Texas |
505 |
NA |
NA |
NA |
Webb County, Texas |
837 |
37.6 |
2.3 |
(33.0–42.1) |
Wichita County, Texas |
646 |
37.2 |
3.2 |
(30.9–43.4) |
Davis County, Utah |
833 |
37.5 |
2.1 |
(33.3–41.6) |
Salt Lake County, Utah |
3,122 |
34.1 |
1.1 |
(31.9–36.2) |
Summit County, Utah |
435 |
36.5 |
3.1 |
(30.4–42.5) |
Tooele County, Utah |
546 |
40.4 |
2.9 |
(34.7–46.0) |
Utah County, Utah |
1,059 |
33.7 |
2.1 |
(29.5–37.8) |
Weber County, Utah |
728 |
28.5 |
2.0 |
(24.5–32.4) |
Chittenden County, Vermont |
1,384 |
35.8 |
1.8 |
(32.2–39.3) |
Franklin County, Vermont |
471 |
38.4 |
2.7 |
(33.1–43.6) |
Orange County, Vermont |
345 |
35.1 |
3.2 |
(28.8–41.3) |
Rutland County, Vermont |
628 |
33.3 |
2.4 |
(28.5–38.0) |
Washington County, Vermont |
647 |
36.9 |
2.5 |
(32.0–41.8) |
Windsor County, Vermont |
651 |
34.1 |
2.4 |
(29.3–38.8) |
Benton County, Washington |
372 |
33.8 |
3.1 |
(27.7–39.8) |
Clark County, Washington |
1,030 |
33.5 |
2.2 |
(29.1–37.8) |
Franklin County, Washington |
228 |
41.6 |
4.7 |
(32.3–50.8) |
King County, Washington |
2,911 |
34.1 |
1.2 |
(31.7–36.4) |
Kitsap County, Washington |
882 |
36.3 |
2.2 |
(31.9–40.6) |
Pierce County, Washington |
1,620 |
37.0 |
1.6 |
(33.8–40.1) |
Snohomish County, Washington |
1,556 |
36.8 |
1.6 |
(33.6–39.9) |
Spokane County, Washington |
1,165 |
39.7 |
2.1 |
(35.5–43.8) |
Thurston County, Washington |
737 |
33.7 |
2.3 |
(29.1–38.2) |
Yakima County, Washington |
677 |
37.0 |
2.6 |
(31.9–42.0) |
Kanawha County, West Virginia |
459 |
34.2 |
2.9 |
(28.5–39.8) |
Milwaukee County, Wisconsin |
1,140 |
37.5 |
2.8 |
(32.0–42.9) |
Laramie County, Wyoming |
863 |
39.2 |
2.3 |
(34.6–43.7) |
Natrona County, Wyoming |
737 |
37.7 |
2.6 |
(32.6–42.7) |
Median |
36.6 |
|||
Range |
27.2-46.4 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Body mass index ≥25.0 to <30.0 kg/m². † Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 50. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
908 |
20.7 |
2.6 |
(15.5–25.9) |
Grand Island, Nebraska |
826 |
29.3 |
2.2 |
(25.0–33.6) |
Grand Rapids-Wyoming, Michigan |
587 |
29.0 |
2.4 |
(24.4–33.6) |
Greensboro-High Point, North Carolina |
1,097 |
28.9 |
2.0 |
(24.9–32.9) |
Greenville, South Carolina |
740 |
35.1 |
3.3 |
(28.7–41.5) |
Hagerstown-Martinsburg, Maryland-West Virginia |
601 |
33.1 |
2.9 |
(27.4–38.8) |
Hartford-West Hartford-East Hartford, Connecticut |
1,903 |
24.1 |
1.4 |
(21.4–26.8) |
Hastings, Nebraska |
565 |
31.2 |
2.9 |
(25.5–36.9) |
Helena, Montana |
619 |
21.8 |
2.5 |
(17.0–26.6) |
Hickory-Morganton-Lenoir, North Carolina |
578 |
25.7 |
2.3 |
(21.2–30.2) |
Hilo, Hawaii |
1,449 |
27.1 |
1.7 |
(23.8–30.4) |
Hilton Head Island-Beaufort, South Carolina |
762 |
23.0 |
2.1 |
(18.9–27.1) |
Homosassa Springs, Florida |
503 |
25.2 |
2.6 |
(20.2–30.2) |
Honolulu, Hawaii |
2,860 |
22.5 |
1.1 |
(20.3–24.7) |
Houston-Sugar Land-Baytown, Texas |
2,584 |
30.6 |
1.4 |
(27.9–33.3) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
623 |
33.8 |
2.7 |
(28.5–39.1) |
Idaho Falls, Idaho |
626 |
29.9 |
2.5 |
(25.0–34.8) |
Indianapolis-Carmel, Indiana |
2,125 |
29.1 |
1.5 |
(26.2–32.0) |
Jackson, Mississippi |
715 |
33.4 |
2.4 |
(28.7–38.1) |
Jacksonville, Florida |
2,485 |
25.6 |
1.6 |
(22.4–28.8) |
Kahului-Wailuku, Hawaii |
1,428 |
27.2 |
2.0 |
(23.3–31.1) |
Kalispell, Montana |
677 |
18.7 |
2.1 |
(14.6–22.8) |
Kansas City, Missouri-Kansas |
3,206 |
30.6 |
1.3 |
(28.1–33.1) |
Kapaa, Hawaii |
634 |
24.2 |
2.5 |
(19.2–29.2) |
Kennewick-Richland-Pasco, Washington |
589 |
32.8 |
2.7 |
(27.5–38.1) |
Key West-Marathon, Florida |
496 |
17.1 |
2.3 |
(12.6–21.6) |
Kingsport-Bristol, Tennessee-Virginia |
607 |
36.8 |
3.7 |
(29.6–44.0) |
Knoxville, Tennessee |
504 |
30.6 |
3.0 |
(24.7–36.5) |
Lake City, Florida |
533 |
31.3 |
2.8 |
(25.9–36.7) |
Lakeland-Winter Haven, Florida |
492 |
36.8 |
3.0 |
(30.9–42.7) |
Laredo, Texas |
824 |
33.8 |
2.1 |
(29.8–37.8) |
Las Cruces, New Mexico |
461 |
29.6 |
3.1 |
(23.5–35.7) |
Las Vegas-Paradise, Nevada |
1,218 |
23.5 |
1.6 |
(20.3–26.7) |
Lebanon, New Hampshire-Vermont |
1,489 |
25.1 |
1.5 |
(22.1–28.1) |
Lewiston, Idaho-Washington |
569 |
27.7 |
2.5 |
(22.9–32.5) |
Lewiston-Auburn, Maine |
483 |
28.2 |
2.5 |
(23.3–33.1) |
Lincoln, Nebraska |
1,097 |
31.4 |
2.4 |
(26.6–36.2) |
Little Rock-North Little Rock, Arkansas |
767 |
35.8 |
2.8 |
(30.4–41.2) |
Los Angeles-Long Beach-Glendale, California† |
2,414 |
25.3 |
1.2 |
(23.0–27.6) |
Louisville, Kentucky-Indiana |
856 |
32.2 |
2.2 |
(27.9–36.5) |
Lubbock, Texas |
729 |
32.9 |
3.2 |
(26.7–39.1) |
Manchester-Nashua, New Hampshire |
1,357 |
25.6 |
1.6 |
(22.4–28.8) |
McAllen-Edinburg-Mission, Texas |
537 |
35.9 |
2.7 |
(30.6–41.2) |
Memphis, Tennessee-Mississippi-Arkansas |
1,099 |
36.6 |
2.6 |
(31.5–41.7) |
Miami-Fort Lauderdale-Miami Beach, Florida |
991 |
28.5 |
2.0 |
(24.6–32.4) |
Midland, Texas |
493 |
24.8 |
2.6 |
(19.7–29.9) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,417 |
27.0 |
2.2 |
(22.8–31.2) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
4,551 |
24.8 |
1.2 |
(22.4–27.2) |
Minot, North Dakota |
515 |
30.0 |
2.5 |
(25.0–35.0) |
Mobile, Alabama |
633 |
34.3 |
2.7 |
(29.0–39.6) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
527 |
27.1 |
2.9 |
(21.3–32.9) |
Naples-Marco Island, Florida |
498 |
23.9 |
3.5 |
(17.1–30.7) |
Nashville-Davidson-Murfreesboro, Tennessee |
775 |
25.1 |
2.3 |
(20.6–29.6) |
Nassau-Suffolk, New York* |
1,013 |
22.3 |
1.8 |
(18.9–25.7) |
Newark-Union, New Jersey-Pennsylvania† |
3,053 |
24.6 |
1.3 |
(22.1–27.1) |
New Haven-Milford, Connecticut |
1,585 |
27.4 |
1.7 |
(24.0–30.8) |
New Orleans-Metairie-Kenner, Louisiana |
1,459 |
33.1 |
1.8 |
(29.5–36.7) |
New York-White Plains-Wayne, New York-New Jersey† |
5,786 |
22.5 |
0.8 |
(21.0–24.0) |
Norfolk, Nebraska |
643 |
33.3 |
2.7 |
(28.0–38.6) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
567 1,083 |
32.1 20.9 |
3.1 1.7 |
(26.0–38.2) (17.8–24.3) |
Ocala, Florida |
562 |
35.3 |
2.8 |
(29.7–40.9) |
Ocean City, New Jersey |
484 |
25.1 |
2.5 |
(20.1–30.1) |
TABLE 50. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
1,573 |
26.2 |
1.4 |
(23.4–29.0) |
Oklahoma City, Oklahoma |
2,363 |
30.9 |
1.2 |
(28.5–33.3) |
Olympia, Washington |
730 |
25.7 |
2.1 |
(21.6–29.8) |
Omaha-Council Bluffs, Nebraska-Iowa |
2,244 |
26.5 |
1.3 |
(24.0–29.0) |
Orlando-Kissimmee, Florida |
2,511 |
28.6 |
1.4 |
(25.8–31.4) |
Palm Bay-Melbourne-Titusville, Florida |
511 |
32.1 |
3.2 |
(25.9–38.3) |
Panama City-Lynn Haven, Florida |
520 |
28.6 |
3.3 |
(22.2–35.0) |
Peabody, Massachusetts |
1,448 |
22.8 |
1.7 |
(19.6–26.4) |
Pensacola-Ferry Pass-Brent, Florida |
970 |
30.5 |
2.3 |
(26.0–35.0) |
Philadelphia, Pennsylvania† |
2,248 |
24.5 |
1.3 |
(21.9–27.1) |
Phoenix-Mesa-Scottsdale, Arizona |
1,599 |
23.4 |
1.7 |
(20.1–26.7) |
Pittsburgh, Pennsylvania |
2,290 |
30.1 |
1.3 |
(27.5–32.7) |
Portland-South Portland-Biddeford, Maine |
2,511 |
24.3 |
1.1 |
(22.1–26.5) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,207 |
26.7 |
1.2 |
(24.3–29.1) |
Port St. Lucie-Fort Pierce, Florida |
987 |
28.3 |
2.2 |
(23.9–32.7) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
8,967 |
26.9 |
0.8 |
(25.4–28.4) |
Provo-Orem, Utah |
1,088 |
23.7 |
1.7 |
(20.4–27.0) |
Raleigh-Cary, North Carolina |
954 |
27.5 |
1.9 |
(23.8–31.2) |
Rapid City, South Dakota |
806 |
25.8 |
2.0 |
(22.0–29.6) |
Reno-Sparks, Nevada |
1,258 |
21.2 |
1.4 |
(18.4–24.0) |
Richmond, Virginia |
747 |
26.7 |
2.7 |
(21.3–32.1) |
Riverside-San Bernardino-Ontario, California |
1,744 |
29.8 |
1.5 |
(26.9–32.7) |
Rochester, New York |
534 |
29.1 |
2.7 |
(23.8–34.4) |
Rockingham County-Strafford County, New Hampshire† |
1,542 |
27.6 |
1.5 |
(24.6–30.6) |
Rutland, Vermont |
620 |
32.3 |
2.4 |
(27.5–37.1) |
Sacramento-Arden-Arcade-Roseville, California |
1,216 |
25.3 |
1.8 |
(21.7–28.9) |
St. Louis, Missouri-Illinois |
1,652 |
31.4 |
1.9 |
(27.7–35.1) |
Salt Lake City, Utah |
4,043 |
24.7 |
0.9 |
(22.9–26.5) |
San Antonio, Texas |
1,074 |
31.2 |
2.0 |
(27.3–35.1) |
San Diego-Carlsbad-San Marcos, California |
1,599 |
26.4 |
1.5 |
(23.5–29.3) |
San Francisco-Oakland-Fremont, California |
2,225 |
18.4 |
1.1 |
(16.3–20.5) |
San Jose-Sunnyvale-Santa Clara, California |
866 |
21.8 |
1.8 |
(18.2–25.4) |
Santa Ana-Anaheim-Irvine, California† |
1,342 |
20.6 |
1.4 |
(17.8–23.4) |
Santa Fe, New Mexico |
585 |
21.1 |
2.6 |
(16.0–26.2) |
Scottsbluff, Nebraska |
733 |
33.7 |
2.6 |
(28.6–38.8) |
Scranton-Wilkes-Barre, Pennsylvania |
529 |
28.7 |
2.7 |
(23.5–33.9) |
Seaford, Delaware |
1,162 |
32.7 |
2.1 |
(28.7–36.7) |
Seattle-Bellevue-Everett, Washington† |
4,425 |
23.3 |
0.9 |
(21.5–25.1) |
Sebring, Florida |
497 |
29.6 |
3.2 |
(23.3–35.9) |
Shreveport-Bossier City, Louisiana |
648 |
29.1 |
2.3 |
(24.5–33.7) |
Sioux City, Iowa-Nebraska-South Dakota |
1,155 |
31.1 |
3.0 |
(25.3–36.9) |
Sioux Falls, South Dakota |
786 |
27.9 |
2.2 |
(23.6–32.2) |
Spokane, Washington |
1,148 |
25.5 |
1.6 |
(22.3–28.7) |
Springfield, Massachusetts |
1,886 |
24.4 |
1.8 |
(20.9–27.9) |
Tacoma, Washington† |
1,605 |
31.5 |
1.6 |
(28.4–34.6) |
Tallahassee, Florida |
1,935 |
28.4 |
2.3 |
(23.9–32.9) |
Tampa-St. Petersburg-Clearwater, Florida |
1,953 |
26.9 |
1.7 |
(23.6–30.2) |
Toledo, Ohio |
809 |
30.1 |
2.2 |
(25.7–34.5) |
Topeka, Kansas |
795 |
36.8 |
2.2 |
(32.4–41.2) |
Trenton-Ewing, New Jersey |
466 |
24.3 |
2.9 |
(18.6–30.0) |
Tucson, Arizona |
667 |
27.2 |
2.7 |
(21.9–32.5) |
Tulsa, Oklahoma |
2,022 |
30.7 |
1.4 |
(28.0–33.4) |
Tuscaloosa, Alabama |
495 |
31.6 |
2.9 |
(25.8–37.4) |
Twin Falls, Idaho |
506 |
31.3 |
3.1 |
(25.2–37.4) |
Tyler, Texas |
637 |
26.6 |
2.8 |
(21.1–32.1) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,027 |
30.7 |
2.3 |
(26.3–35.1) |
Warren-Troy-Farmington Hills, Michigan† |
1,721 |
31.7 |
2.0 |
(27.8–35.6) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia† |
6,110 |
25.5 |
1.5 |
(22.6–28.4) |
Wauchula, Florida |
492 |
42.1 |
3.9 |
(34.4–49.8) |
West Palm Beach-Boca Raton-Boynton Beach, Florida† |
529 |
20.5 |
2.6 |
(15.3–25.7) |
Wichita, Kansas |
1,752 |
28.2 |
1.4 |
(25.4–31.0) |
Wichita Falls, Texas |
782 |
30.3 |
2.5 |
(25.5–35.1) |
Wilmington, Delaware-Maryland-New Jersey† |
2,080 |
30.7 |
1.4 |
(28.0–33.4) |
TABLE 50. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
1,940 |
26.6 |
1.6 |
(23.4–29.8) |
Yakima, Washington |
667 |
32.6 |
2.5 |
(27.7–37.5) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,008 |
35.1 |
2.9 |
(29.4–40.8) |
Median |
28.3 |
|||
Range |
17.1-42.1 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Body mass index ≥30.0 kg/m². † Metropolitan division. |
TABLE 51. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
496 |
17.1 |
2.3 |
(12.6–21.6) |
Nassau County, Florida |
509 |
22.7 |
3.1 |
(16.6–28.8) |
Orange County, Florida |
946 |
28.0 |
2.1 |
(23.9–32.1) |
Osceola County, Florida |
526 |
33.9 |
3.2 |
(27.5–40.3) |
Palm Beach County, Florida |
529 |
20.5 |
2.6 |
(15.3–25.7) |
Pasco County, Florida |
519 |
31.4 |
3.3 |
(25.0–37.8) |
Pinellas County, Florida |
481 |
23.4 |
2.8 |
(17.9–28.9) |
Polk County, Florida |
492 |
36.8 |
3.0 |
(30.9–42.7) |
St. Johns County, Florida |
508 |
21.2 |
2.6 |
(16.1–26.3) |
St. Lucie County, Florida |
480 |
31.3 |
2.9 |
(25.6–37.0) |
Santa Rosa County, Florida |
476 |
30.5 |
3.0 |
(24.7–36.3) |
Sarasota County, Florida |
586 |
20.5 |
2.4 |
(15.8–25.2) |
Seminole County, Florida |
463 |
25.4 |
2.8 |
(19.9–30.9) |
Volusia County, Florida |
822 |
27.9 |
2.7 |
(22.7–33.1) |
Wakulla County, Florida |
505 |
37.7 |
3.6 |
(30.6–44.8) |
Cobb County, Georgia |
241 |
26.9 |
3.5 |
(19.9–33.9) |
DeKalb County, Georgia |
325 |
30.4 |
3.6 |
(23.4–37.4) |
Fulton County, Georgia |
315 |
21.3 |
3.2 |
(15.1–27.5) |
Gwinnett County, Georgia |
235 |
27.4 |
3.8 |
(20.0–34.8) |
Hawaii County, Hawaii |
1,449 |
27.1 |
1.7 |
(23.8–30.4) |
Honolulu County, Hawaii |
2,860 |
22.5 |
1.1 |
(20.3–24.7) |
Kauai County, Hawaii |
634 |
24.2 |
2.5 |
(19.2–29.2) |
Maui County, Hawaii |
1,428 |
27.2 |
2.0 |
(23.3–31.1) |
Ada County, Idaho |
811 |
24.2 |
2.2 |
(19.9–28.5) |
Bonneville County, Idaho |
488 |
30.0 |
2.8 |
(24.5–35.5) |
Canyon County, Idaho |
572 |
28.5 |
2.3 |
(23.9–33.1) |
Kootenai County, Idaho |
547 |
25.2 |
2.8 |
(19.7–30.7) |
Nez Perce County, Idaho |
360 |
29.5 |
3.0 |
(23.7–35.3) |
Twin Falls County, Idaho |
403 |
28.9 |
3.3 |
(22.5–35.3) |
Cook County, Illinois |
2,793 |
28.1 |
1.3 |
(25.6–30.6) |
DuPage County, Illinois |
247 |
26.3 |
3.4 |
(19.6–33.0) |
Allen County, Indiana |
551 |
34.9 |
2.6 |
(29.7–40.1) |
Lake County, Indiana |
949 |
32.7 |
2.6 |
(27.6–37.8) |
Marion County, Indiana |
1,370 |
32.6 |
2.1 |
(28.4–36.8) |
Linn County, Iowa |
473 |
25.0 |
2.5 |
(20.0–30.0) |
Polk County, Iowa |
722 |
25.0 |
2.0 |
(21.0–29.0) |
Johnson County, Kansas |
1,354 |
24.7 |
1.5 |
(21.8–27.6) |
Sedgwick County, Kansas |
1,366 |
28.2 |
1.6 |
(25.0–31.4) |
Shawnee County, Kansas |
594 |
36.0 |
2.7 |
(30.7–41.3) |
Wyandotte County, Kansas |
561 |
39.6 |
3.0 |
(33.8–45.4) |
Jefferson County, Kentucky |
386 |
29.7 |
2.9 |
(24.0–35.4) |
Caddo Parish, Louisiana |
423 |
30.1 |
3.0 |
(24.2–36.0) |
East Baton Rouge Parish, Louisiana |
685 |
36.1 |
2.5 |
(31.1–41.1) |
Jefferson Parish, Louisiana |
564 |
37.6 |
2.8 |
(32.1–43.1) |
Orleans Parish, Louisiana |
359 |
31.7 |
3.5 |
(24.8–38.6) |
St. Tammany Parish, Louisiana |
349 |
31.7 |
3.8 |
(24.3–39.1) |
Androscoggin County, Maine |
483 |
28.2 |
2.5 |
(23.3–33.1) |
Cumberland County, Maine |
1,324 |
20.8 |
1.6 |
(17.8–23.8) |
Kennebec County, Maine |
627 |
30.1 |
2.5 |
(25.2–35.0) |
Penobscot County, Maine |
662 |
34.0 |
2.3 |
(29.5–38.5) |
Sagadahoc County, Maine |
284 |
25.0 |
3.1 |
(18.8–31.2) |
York County, Maine |
903 |
28.9 |
1.9 |
(25.2–32.6) |
Anne Arundel County, Maryland |
574 |
29.8 |
2.5 |
(25.0–34.6) |
Baltimore County, Maryland |
983 |
30.2 |
2.1 |
(26.1–34.3) |
Cecil County, Maryland |
259 |
39.9 |
3.9 |
(32.3–47.5) |
Charles County, Maryland |
330 |
32.3 |
3.1 |
(26.2–38.4) |
Frederick County, Maryland |
534 |
25.6 |
2.6 |
(20.5–30.7) |
Harford County, Maryland |
267 |
29.3 |
3.3 |
(22.8–35.8) |
Howard County, Maryland |
330 |
20.3 |
2.6 |
(15.1–25.5) |
Montgomery County, Maryland |
991 |
19.4 |
1.8 |
(16.0–22.8) |
Prince George´s County, Maryland |
738 |
35.8 |
2.3 |
(31.3–40.3) |
Queen Anne´s County, Maryland |
277 |
25.0 |
3.4 |
(18.4–31.6) |
Washington County, Maryland |
374 |
35.3 |
3.5 |
(28.5–42.1) |
TABLE 51. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
506 |
30.3 |
2.8 |
(24.9–35.7) |
Bristol County, Massachusetts |
2,670 |
27.5 |
1.8 |
(24.0–31.0) |
Essex County, Massachusetts |
1,959 |
22.6 |
1.7 |
(19.2–26.0) |
Hampden County, Massachusetts |
1,459 |
26.3 |
2.1 |
(22.2–30.4) |
Hampshire County, Massachusetts |
256 |
22.8 |
3.8 |
(15.3–30.3) |
Middlesex County, Massachusetts |
2,791 |
21.0 |
1.2 |
(18.7–23.3) |
Norfolk County, Massachusetts |
797 |
20.8 |
1.8 |
(17.3–24.3) |
Plymouth County, Massachusetts |
632 |
21.1 |
2.0 |
(17.3–24.9) |
Suffolk County, Massachusetts |
1,623 |
21.7 |
1.7 |
(18.3–25.1) |
Worcester County, Massachusetts |
1,940 |
26.6 |
1.6 |
(23.4–29.8) |
Kent County, Michigan |
419 |
29.1 |
2.9 |
(23.3–34.9) |
Macomb County, Michigan |
496 |
33.3 |
2.9 |
(27.5–39.1) |
Oakland County, Michigan |
898 |
28.1 |
2.1 |
(23.9–32.3) |
Wayne County, Michigan |
1,808 |
34.4 |
1.7 |
(31.0–37.8) |
Anoka County, Minnesota |
358 |
33.7 |
3.7 |
(26.4–41.0) |
Dakota County, Minnesota |
545 |
24.3 |
2.6 |
(19.3–29.3) |
Hennepin County, Minnesota |
1,923 |
20.4 |
1.8 |
(16.9–23.9) |
Ramsey County, Minnesota |
861 |
24.9 |
3.2 |
(18.7–31.1) |
Washington County, Minnesota |
238 |
26.5 |
3.9 |
(18.8–34.2) |
DeSoto County, Mississippi |
355 |
32.0 |
3.8 |
(24.5–39.5) |
Hinds County, Mississippi |
320 |
39.1 |
3.9 |
(31.4–46.8) |
Jackson County, Missouri |
497 |
33.1 |
2.7 |
(27.9–38.3) |
St. Louis County, Missouri |
573 |
31.8 |
3.2 |
(25.5–38.1) |
St. Louis city, Missouri |
605 |
33.9 |
2.9 |
(28.2–39.6) |
Flathead County, Montana |
677 |
18.7 |
2.1 |
(14.6–22.8) |
Lewis and Clark County, Montana |
512 |
23.0 |
2.4 |
(18.3–27.7) |
Yellowstone County, Montana |
468 |
28.1 |
2.8 |
(22.7–33.5) |
Adams County, Nebraska |
457 |
28.7 |
3.1 |
(22.7–34.7) |
Dakota County, Nebraska |
705 |
31.6 |
2.3 |
(27.1–36.1) |
Douglas County, Nebraska |
908 |
24.6 |
1.9 |
(20.9–28.3) |
Hall County, Nebraska |
561 |
28.1 |
2.7 |
(22.8–33.4) |
Lancaster County, Nebraska |
819 |
31.8 |
2.6 |
(26.7–36.9) |
Lincoln County, Nebraska |
535 |
32.0 |
3.2 |
(25.8–38.2) |
Madison County, Nebraska |
441 |
31.9 |
3.5 |
(25.1–38.7) |
Sarpy County, Nebraska |
549 |
26.9 |
2.7 |
(21.6–32.2) |
Scotts Bluff County, Nebraska |
710 |
33.0 |
2.6 |
(28.0–38.0) |
Seward County, Nebraska |
278 |
27.2 |
3.3 |
(20.7–33.7) |
Clark County, Nevada |
1,218 |
23.5 |
1.6 |
(20.3–26.7) |
Washoe County, Nevada |
1,238 |
21.3 |
1.4 |
(18.5–24.1) |
Grafton County, New Hampshire |
499 |
22.3 |
2.3 |
(17.7–26.9) |
Hillsborough County, New Hampshire |
1,357 |
25.6 |
1.6 |
(22.4–28.8) |
Merrimack County, New Hampshire |
615 |
22.7 |
2.4 |
(18.0–27.4) |
Rockingham County, New Hampshire |
971 |
26.4 |
1.8 |
(22.8–30.0) |
Strafford County, New Hampshire |
571 |
30.0 |
2.6 |
(24.9–35.1) |
Atlantic County, New Jersey |
858 |
27.0 |
2.0 |
(23.1–30.9) |
Bergen County, New Jersey |
573 |
23.6 |
2.4 |
(18.8–28.4) |
Burlington County, New Jersey |
529 |
29.3 |
2.7 |
(24.0–34.6) |
Camden County, New Jersey |
563 |
30.6 |
2.7 |
(25.3–35.9) |
Cape May County, New Jersey |
484 |
25.1 |
2.5 |
(20.1–30.1) |
Essex County, New Jersey |
932 |
28.1 |
2.2 |
(23.8–32.4) |
Gloucester County, New Jersey |
482 |
27.2 |
2.7 |
(21.8–32.6) |
Hudson County, New Jersey |
1,023 |
25.6 |
1.8 |
(22.0–29.2) |
Hunterdon County, New Jersey |
471 |
17.4 |
2.1 |
(13.3–21.5) |
Mercer County, New Jersey |
466 |
24.3 |
2.9 |
(18.6–30.0) |
Middlesex County, New Jersey |
586 |
23.4 |
2.3 |
(18.9–27.9) |
Monmouth County, New Jersey |
519 |
22.2 |
2.3 |
(17.7–26.7) |
Morris County, New Jersey |
646 |
22.6 |
2.1 |
(18.5–26.7) |
Ocean County, New Jersey |
486 |
28.3 |
2.5 |
(23.3–33.3) |
Passaic County, New Jersey |
468 |
24.4 |
2.5 |
(19.6–29.2) |
Somerset County, New Jersey |
503 |
19.7 |
2.1 |
(15.6–23.8) |
Sussex County, New Jersey |
465 |
23.2 |
2.4 |
(18.5–27.9) |
Union County, New Jersey |
481 |
20.6 |
2.2 |
(16.2–25.0) |
Warren County, New Jersey |
450 |
23.5 |
2.5 |
(18.6–28.4) |
TABLE 51. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
1,211 |
21.8 |
1.8 |
(18.4–25.2) |
Dona Ana County, New Mexico |
461 |
29.6 |
3.1 |
(23.5–35.7) |
Sandoval County, New Mexico |
499 |
22.7 |
2.9 |
(16.9–28.5) |
San Juan County, New Mexico |
653 |
34.0 |
2.9 |
(28.3–39.7) |
Santa Fe County, New Mexico |
585 |
21.1 |
2.6 |
(16.0–26.2) |
Valencia County, New Mexico |
337 |
29.0 |
3.4 |
(22.4–35.6) |
Bronx County, New York |
406 |
25.2 |
2.6 |
(20.1–30.3) |
Erie County, New York |
447 |
28.2 |
2.9 |
(22.6–33.8) |
Kings County, New York |
854 |
26.3 |
2.0 |
(22.4–30.2) |
Monroe County, New York |
357 |
28.8 |
3.2 |
(22.6–35.0) |
Nassau County, New York |
451 |
18.3 |
2.2 |
(13.9–22.7) |
New York County, New York |
984 |
14.4 |
1.5 |
(11.5–17.3) |
Queens County, New York |
743 |
20.6 |
2.0 |
(16.7–24.5) |
Suffolk County, New York |
562 |
25.3 |
2.5 |
(20.3–30.3) |
Westchester County, New York |
360 |
13.3 |
2.1 |
(9.2–17.4) |
Buncombe County, North Carolina |
244 |
28.7 |
4.0 |
(20.8–36.6) |
Cabarrus County, North Carolina |
293 |
36.6 |
3.9 |
(29.0–44.2) |
Catawba County, North Carolina |
285 |
24.2 |
3.2 |
(17.9–30.5) |
Durham County, North Carolina |
594 |
27.1 |
2.4 |
(22.4–31.8) |
Gaston County, North Carolina |
251 |
25.6 |
4.0 |
(17.8–33.4) |
Guilford County, North Carolina |
654 |
29.0 |
2.5 |
(24.1–33.9) |
Johnston County, North Carolina |
251 |
35.9 |
3.8 |
(28.4–43.4) |
Mecklenburg County, North Carolina |
563 |
28.0 |
2.6 |
(22.9–33.1) |
Orange County, North Carolina |
281 |
18.6 |
2.7 |
(13.3–23.9) |
Randolph County, North Carolina |
375 |
28.9 |
3.2 |
(22.6–35.2) |
Union County, North Carolina |
323 |
23.8 |
3.0 |
(18.0–29.6) |
Wake County, North Carolina |
666 |
23.8 |
2.1 |
(19.7–27.9) |
Burleigh County, North Dakota |
530 |
23.6 |
2.4 |
(19.0–28.2) |
Cass County, North Dakota |
725 |
26.4 |
2.4 |
(21.6–31.2) |
Ward County, North Dakota |
430 |
29.6 |
2.7 |
(24.2–35.0) |
Cuyahoga County, Ohio |
666 |
26.1 |
2.1 |
(21.9–30.3) |
Franklin County, Ohio |
639 |
31.3 |
2.6 |
(26.3–36.3) |
Hamilton County, Ohio |
680 |
30.0 |
2.4 |
(25.3–34.7) |
Lucas County, Ohio |
684 |
30.8 |
2.3 |
(26.3–35.3) |
Mahoning County, Ohio |
694 |
30.5 |
2.5 |
(25.5–35.5) |
Montgomery County, Ohio |
659 |
32.3 |
2.7 |
(26.9–37.7) |
Stark County, Ohio |
683 |
29.6 |
2.3 |
(25.1–34.1) |
Summit County, Ohio |
668 |
29.0 |
2.7 |
(23.7–34.3) |
Cleveland County, Oklahoma |
418 |
28.5 |
2.8 |
(23.1–33.9) |
Oklahoma County, Oklahoma |
1,366 |
30.5 |
1.6 |
(27.3–33.7) |
Tulsa County, Oklahoma |
1,422 |
30.6 |
1.6 |
(27.5–33.7) |
Clackamas County, Oregon |
419 |
28.5 |
2.8 |
(22.9–34.1) |
Lane County, Oregon |
490 |
31.6 |
3.4 |
(24.9–38.3) |
Multnomah County, Oregon |
777 |
26.4 |
2.4 |
(21.8–31.0) |
Washington County, Oregon |
549 |
24.4 |
2.4 |
(19.7–29.1) |
Allegheny County, Pennsylvania |
1,308 |
30.3 |
1.7 |
(27.0–33.6) |
Lehigh County, Pennsylvania |
271 |
34.5 |
3.4 |
(27.8–41.2) |
Luzerne County, Pennsylvania |
298 |
31.7 |
3.7 |
(24.4–39.0) |
Montgomery County, Pennsylvania |
329 |
23.7 |
3.1 |
(17.6–29.8) |
Northampton County, Pennsylvania |
247 |
25.4 |
3.5 |
(18.5–32.3) |
Philadelphia County, Pennsylvania |
1,329 |
33.0 |
1.8 |
(29.4–36.6) |
Westmoreland County, Pennsylvania |
318 |
32.2 |
3.4 |
(25.5–38.9) |
Bristol County, Rhode Island |
265 |
22.9 |
3.5 |
(16.1–29.7) |
Kent County, Rhode Island |
895 |
27.5 |
2.0 |
(23.6–31.4) |
Newport County, Rhode Island |
468 |
19.8 |
2.3 |
(15.4–24.2) |
Providence County, Rhode Island |
3,949 |
29.5 |
1.1 |
(27.3–31.7) |
Washington County, Rhode Island |
720 |
20.6 |
2.3 |
(16.1–25.1) |
Aiken County, South Carolina |
452 |
33.2 |
2.8 |
(27.7–38.7) |
Beaufort County, South Carolina |
645 |
20.6 |
2.2 |
(16.3–24.9) |
Berkeley County, South Carolina |
337 |
NA† |
NA |
NA |
Charleston County, South Carolina |
637 |
23.8 |
2.7 |
(18.5–29.1) |
Greenville County, South Carolina |
472 |
34.2 |
3.6 |
(27.1–41.3) |
Horry County, South Carolina |
527 |
27.1 |
2.9 |
(21.3–32.9) |
TABLE 51. (Continued) Estimated prevalence of adults aged ≥20 years who are obese,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
637 |
31.2 |
3.6 |
(24.2–38.2) |
Minnehaha County, South Dakota |
566 |
27.3 |
2.6 |
(22.2–32.4) |
Pennington County, South Dakota |
632 |
25.4 |
2.3 |
(21.0–29.8) |
Davidson County, Tennessee |
387 |
27.4 |
3.3 |
(21.0–33.8) |
Hamilton County, Tennessee |
358 |
26.6 |
3.3 |
(20.1–33.1) |
Knox County, Tennessee |
354 |
32.1 |
3.8 |
(24.7–39.5) |
Shelby County, Tennessee |
374 |
36.0 |
3.6 |
(29.0–43.0) |
Sullivan County, Tennessee |
436 |
36.9 |
3.4 |
(30.2–43.6) |
Bexar County, Texas |
923 |
33.2 |
2.2 |
(28.9–37.5) |
Dallas County, Texas |
365 |
32.6 |
3.6 |
(25.5–39.7) |
El Paso County, Texas |
801 |
28.9 |
2.1 |
(24.7–33.1) |
Fort Bend County, Texas |
883 |
26.0 |
2.1 |
(21.8–30.2) |
Harris County, Texas |
1,368 |
31.5 |
1.8 |
(28.1–34.9) |
Hidalgo County, Texas |
537 |
35.9 |
2.7 |
(30.6–41.2) |
Lubbock County, Texas |
709 |
31.5 |
3.0 |
(25.6–37.4) |
Midland County, Texas |
493 |
24.8 |
2.6 |
(19.7–29.9) |
Potter County, Texas |
322 |
34.4 |
3.6 |
(27.4–41.4) |
Randall County, Texas |
444 |
25.1 |
3.0 |
(19.3–30.9) |
Smith County, Texas |
637 |
26.6 |
2.8 |
(21.1–32.1) |
Tarrant County, Texas |
565 |
30.0 |
2.9 |
(24.3–35.7) |
Travis County, Texas |
709 |
26.4 |
4.9 |
(16.9–35.9) |
Val Verde County, Texas |
499 |
37.2 |
3.3 |
(30.8–43.6) |
Webb County, Texas |
824 |
33.8 |
2.1 |
(29.8–37.8) |
Wichita County, Texas |
639 |
31.1 |
2.7 |
(25.7–36.5) |
Davis County, Utah |
814 |
24.7 |
1.9 |
(21.0–28.4) |
Salt Lake County, Utah |
3,079 |
25.0 |
1.0 |
(23.0–27.0) |
Summit County, Utah |
429 |
17.4 |
2.4 |
(12.7–22.1) |
Tooele County, Utah |
535 |
24.9 |
2.4 |
(20.2–29.6) |
Utah County, Utah |
1,031 |
23.5 |
1.7 |
(20.1–26.9) |
Weber County, Utah |
718 |
29.3 |
2.2 |
(25.0–33.6) |
Chittenden County, Vermont |
1,368 |
20.3 |
1.5 |
(17.4–23.2) |
Franklin County, Vermont |
462 |
27.4 |
2.3 |
(22.8–32.0) |
Orange County, Vermont |
342 |
30.8 |
3.0 |
(25.0–36.6) |
Rutland County, Vermont |
620 |
32.3 |
2.4 |
(27.5–37.1) |
Washington County, Vermont |
644 |
22.2 |
2.1 |
(18.1–26.3) |
Windsor County, Vermont |
648 |
23.7 |
2.2 |
(19.3–28.1) |
Benton County, Washington |
364 |
33.8 |
3.1 |
(27.8–39.8) |
Clark County, Washington |
1,022 |
28.7 |
2.0 |
(24.8–32.6) |
Franklin County, Washington |
225 |
31.0 |
4.9 |
(21.4–40.6) |
King County, Washington |
2,888 |
21.9 |
1.1 |
(19.8–24.0) |
Kitsap County, Washington |
870 |
30.3 |
2.0 |
(26.3–34.3) |
Pierce County, Washington |
1,605 |
30.7 |
1.5 |
(27.7–33.7) |
Snohomish County, Washington |
1,537 |
28.0 |
1.5 |
(25.0–31.0) |
Spokane County, Washington |
1,148 |
25.5 |
1.6 |
(22.3–28.7) |
Thurston County, Washington |
730 |
25.7 |
2.1 |
(21.6–29.8) |
Yakima County, Washington |
667 |
32.6 |
2.5 |
(27.7–37.5) |
Kanawha County, West Virginia |
458 |
34.1 |
3.3 |
(27.7–40.5) |
Milwaukee County, Wisconsin |
1,116 |
26.8 |
2.4 |
(22.1–31.5) |
Laramie County, Wyoming |
857 |
27.5 |
2.1 |
(23.4–31.6) |
Natrona County, Wyoming |
733 |
28.4 |
2.3 |
(23.9–32.9) |
Median |
27.4 |
|||
Range |
13.3-42.1 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Body mass index ≥30.0 kg/m². † Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 53. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
946 |
6.9 |
1.4 |
(4.1–9.6) |
Grand Island, Nebraska |
860 |
6.2 |
1.0 |
(4.2–8.1) |
Grand Rapids-Wyoming, Michigan |
618 |
8.2 |
1.5 |
(5.2–11.1) |
Greensboro-High Point, North Carolina |
1,155 |
7.9 |
1.4 |
(5.1–10.6) |
Greenville, South Carolina |
772 |
9.4 |
2.0 |
(5.4–13.3) |
Hagerstown-Martinsburg, Maryland-West Virginia |
643 |
8.3 |
1.4 |
(5.5–11.0) |
Hartford-West Hartford-East Hartford, Connecticut |
2,008 |
9.0 |
0.8 |
(7.4–10.5) |
Hastings, Nebraska |
583 |
10.2 |
2.2 |
(5.8–14.5) |
Helena, Montana |
641 |
9.3 |
1.7 |
(5.9–12.6) |
Hickory-Morganton-Lenoir, North Carolina |
597 |
6.6 |
1.1 |
(4.4–8.7) |
Hilo, Hawaii |
1,464 |
12.2 |
1.2 |
(9.8–14.5) |
Hilton Head Island-Beaufort, South Carolina |
794 |
4.5 |
0.9 |
(2.7–6.2) |
Homosassa Springs, Florida |
533 |
10.0 |
1.8 |
(6.4–13.5) |
Honolulu, Hawaii |
2,933 |
9.0 |
0.7 |
(7.6–10.3) |
Houston-Sugar Land-Baytown, Texas |
2,727 |
4.9 |
0.6 |
(3.7–6.0) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
652 |
12.0 |
1.7 |
(8.6–15.3) |
Idaho Falls, Idaho |
662 |
7.7 |
1.2 |
(5.3–10.0) |
Indianapolis-Carmel, Indiana |
2,241 |
10.5 |
1.0 |
(8.5–12.4) |
Jackson, Mississippi |
756 |
6.3 |
1.1 |
(4.1–8.4) |
Jacksonville, Florida |
2,571 |
10.1 |
1.4 |
(7.3–12.8) |
Kahului-Wailuku, Hawaii |
1,457 |
10.7 |
1.3 |
(8.1–13.2) |
Kalispell, Montana |
697 |
8.6 |
1.4 |
(5.8–11.3) |
Kansas City, Missouri-Kansas |
3,367 |
9.9 |
0.9 |
(8.1–11.6) |
Kapaa, Hawaii |
643 |
5.4 |
1.0 |
(3.4–7.3) |
Kennewick-Richland-Pasco, Washington |
644 |
8.1 |
1.3 |
(5.5–10.6) |
Key West-Marathon, Florida |
502 |
5.8 |
1.8 |
(2.2–9.3) |
Kingsport-Bristol, Tennessee-Virginia |
652 |
7.9 |
1.7 |
(4.5–11.2) |
Knoxville, Tennessee |
527 |
5.2 |
1.1 |
(3.0–7.3) |
Lake City, Florida |
557 |
11.0 |
2.1 |
(6.8–15.1) |
Lakeland-Winter Haven, Florida |
518 |
9.6 |
1.9 |
(5.8–13.3) |
Laredo, Texas |
918 |
3.4 |
0.6 |
(2.2–4.5) |
Las Cruces, New Mexico |
498 |
8.9 |
1.9 |
(5.1–12.6) |
Las Vegas-Paradise, Nevada |
1,258 |
9.3 |
1.1 |
(7.1–11.4) |
Lebanon, New Hampshire-Vermont |
1,540 |
12.1 |
1.2 |
(9.7–14.4) |
Lewiston, Idaho-Washington |
600 |
12.3 |
1.9 |
(8.5–16.0) |
Lewiston-Auburn, Maine |
497 |
9.1 |
1.5 |
(6.1–12.0) |
Lincoln, Nebraska |
1,128 |
9.9 |
1.4 |
(7.1–12.6) |
Little Rock-North Little Rock, Arkansas |
817 |
8.2 |
1.5 |
(5.2–11.1) |
Los Angeles-Long Beach-Glendale, California† |
2,616 |
6.4 |
0.6 |
(5.2–7.5) |
Louisville, Kentucky-Indiana |
901 |
9.8 |
1.3 |
(7.2–12.3) |
Lubbock, Texas |
774 |
8.4 |
1.3 |
(5.8–10.9) |
Manchester-Nashua, New Hampshire |
1,420 |
10.5 |
1.1 |
(8.3–12.6) |
McAllen-Edinburg-Mission, Texas |
594 |
5.2 |
1.3 |
(2.6–7.7) |
Memphis, Tennessee-Mississippi-Arkansas |
1,150 |
6.4 |
1.1 |
(4.2–8.5) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,027 |
7.7 |
1.4 |
(4.9–10.4) |
Midland, Texas |
521 |
12.4 |
2.2 |
(8.0–16.7) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,527 |
9.3 |
1.1 |
(7.1–11.4) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
4,846 |
8.2 |
0.9 |
(6.4–9.9) |
Minot, North Dakota |
551 |
9.3 |
1.8 |
(5.7–12.8) |
Mobile, Alabama |
678 |
6.9 |
1.1 |
(4.7–9.0) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
552 |
10.1 |
1.8 |
(6.5–13.6) |
Naples-Marco Island, Florida |
518 |
7.3 |
1.8 |
(3.7–10.8) |
Nashville-Davidson-Murfreesboro, Tennessee |
829 |
5.6 |
1.3 |
(3.0–8.1) |
Nassau-Suffolk, New York* |
1,060 |
7.2 |
1.1 |
(5.0–9.3) |
Newark-Union, New Jersey-Pennsylvania† |
3,309 |
7.5 |
0.6 |
(6.3–8.6) |
New Haven-Milford, Connecticut |
1,665 |
11.3 |
1.3 |
(8.7–13.8) |
New Orleans-Metairie-Kenner, Louisiana |
1,529 |
7.1 |
1.0 |
(5.1–9.0) |
New York-White Plains-Wayne, New York-New Jersey† |
6,161 |
9.9 |
0.5 |
(8.9–10.8) |
Norfolk, Nebraska |
672 |
4.3 |
0.9 |
(2.5–6.0) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
575 1,125 |
12.9 6.1 |
2.6 0.9 |
(7.8–17.9) (4.3 – 7.8) |
Ocala, Florida |
586 |
8.8 |
1.5 |
(5.8–11.7) |
Ocean City, New Jersey |
519 |
6.5 |
1.4 |
(3.7–9.2) |
TABLE 53. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
1,692 |
7.5 |
0.8 |
(5.9–9.0) |
Oklahoma City, Oklahoma |
2,461 |
8.9 |
0.7 |
(7.5–10.2) |
Olympia, Washington |
771 |
11.4 |
1.5 |
(8.4–14.3) |
Omaha-Council Bluffs, Nebraska-Iowa |
2,353 |
7.9 |
0.8 |
(6.3–9.4) |
Orlando-Kissimmee, Florida |
2,656 |
8.6 |
0.8 |
(7.0–10.1) |
Palm Bay-Melbourne-Titusville, Florida |
522 |
8.5 |
1.4 |
(5.7–11.2) |
Panama City-Lynn Haven, Florida Peabody, Massachusetts |
539 2,125 |
7.6 10.4 |
1.5 1.3 |
(4.6–10.5) (7.8 – 12.9) |
Pensacola-Ferry Pass-Brent, Florida |
1,011 |
10.4 |
1.3 |
(7.8–12.9) |
Philadelphia, Pennsylvania† |
2,353 |
10.8 |
1.0 |
(8.8–12.7) |
Phoenix-Mesa-Scottsdale, Arizona |
1,677 |
9.6 |
1.1 |
(7.4–11.7) |
Pittsburgh, Pennsylvania |
2,405 |
9.7 |
0.9 |
(7.9–11.4) |
Portland-South Portland-Biddeford, Maine |
2,614 |
9.3 |
0.8 |
(7.7–10.8) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,381 |
8.5 |
0.8 |
(6.9–10.0) |
Port St. Lucie-Fort Pierce, Florida |
1,017 |
8.8 |
1.2 |
(6.4–11.1) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
9,475 |
10.7 |
0.6 |
(9.5–11.8) |
Provo-Orem, Utah |
1,169 |
10.7 |
1.8 |
(7.1–14.2) |
Raleigh-Cary, North Carolina |
1,020 |
5.6 |
1.0 |
(3.6–7.5) |
Rapid City, South Dakota |
837 |
6.3 |
0.9 |
(4.5–8.0) |
Reno-Sparks, Nevada |
1,315 |
8.1 |
1.0 |
(6.1–10.0) |
Richmond, Virginia |
796 |
7.0 |
1.3 |
(4.4–9.5) |
Riverside-San Bernardino-Ontario, California |
1,871 |
6.6 |
0.7 |
(5.2–7.9) |
Rochester, New York |
566 |
7.1 |
1.4 |
(4.3–9.8) |
Rockingham County-Strafford County, New Hampshire† |
1,591 |
9.6 |
1.0 |
(7.6–11.5) |
Rutland, Vermont |
654 |
14.5 |
2.0 |
(10.5–18.4) |
Sacramento-Arden-Arcade-Roseville, California |
1,292 |
8.6 |
1.0 |
(6.6–10.5) |
St. Louis, Missouri-Illinois |
1,744 |
9.4 |
1.1 |
(7.2–11.5) |
Salt Lake City, Utah |
4,281 |
10.1 |
0.7 |
(8.7–11.4) |
San Antonio, Texas |
1,119 |
6.1 |
0.9 |
(4.3–7.8) |
San Diego-Carlsbad-San Marcos, California |
1,693 |
7.7 |
0.9 |
(5.9–9.4) |
San Francisco-Oakland-Fremont, California |
2,353 |
8.2 |
0.7 |
(6.8–9.5) |
San Jose-Sunnyvale-Santa Clara, California |
912 |
7.0 |
1.0 |
(5.0–8.9) |
Santa Ana-Anaheim-Irvine, California† |
1,445 |
6.5 |
0.8 |
(4.9–8.0) |
Santa Fe, New Mexico |
607 |
9.2 |
1.9 |
(5.4–12.9) |
Scottsbluff, Nebraska |
758 |
5.8 |
1.4 |
(3.0–8.5) |
Scranton-Wilkes-Barre, Pennsylvania |
552 |
8.6 |
1.6 |
(5.4–11.7) |
Seaford, Delaware |
1,235 |
10.8 |
1.2 |
(8.4–13.1) |
Seattle-Bellevue-Everett, Washington† |
4,656 |
8.9 |
0.6 |
(7.7–10.0) |
Sebring, Florida |
515 |
9.1 |
2.0 |
(5.1–13.0) |
Shreveport-Bossier City, Louisiana |
678 |
7.5 |
1.9 |
(3.7–11.2) |
Sioux City, Iowa-Nebraska-South Dakota |
1,215 |
5.7 |
1.0 |
(3.7–7.6) |
Sioux Falls, South Dakota |
830 |
6.8 |
1.2 |
(4.4–9.1) |
Spokane, Washington |
1,204 |
12.5 |
1.5 |
(9.5–15.4) |
Springfield, Massachusetts |
2,044 |
12.3 |
1.9 |
(8.5–16.0) |
Tacoma, Washington† |
1,711 |
10.4 |
1.0 |
(8.4–12.3) |
Tallahassee, Florida |
2,037 |
8.0 |
1.3 |
(5.4–10.5) |
Tampa-St. Petersburg-Clearwater, Florida |
2,021 |
9.4 |
1.0 |
(7.4–11.3) |
Toledo, Ohio |
857 |
12.1 |
1.5 |
(9.1–15.0) |
Topeka, Kansas |
826 |
7.4 |
1.1 |
(5.2–9.5) |
Trenton-Ewing, New Jersey |
501 |
7.4 |
1.6 |
(4.2–10.5) |
Tucson, Arizona |
692 |
12.5 |
2.0 |
(8.5–16.4) |
Tulsa, Oklahoma |
2,129 |
9.2 |
0.8 |
(7.6–10.7) |
Tuscaloosa, Alabama |
514 |
5.4 |
1.0 |
(3.4–7.3) |
Twin Falls, Idaho |
537 |
7.6 |
1.3 |
(5.0–10.1) |
Tyler, Texas |
670 |
9.7 |
2.4 |
(4.9–14.4) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,099 |
7.9 |
1.0 |
(5.9–9.8) |
Warren-Troy-Farmington Hills, Michigan† |
1,794 |
9.6 |
1.0 |
(7.6–11.5) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia† |
6,404 |
10.2 |
1.2 |
(7.8–12.5) |
Wauchula, Florida |
524 |
7.9 |
1.5 |
(4.9–10.8) |
West Palm Beach-Boca Raton-Boynton Beach, Florida† |
547 |
7.1 |
1.5 |
(4.1–10.0) |
Wichita, Kansas |
1,843 |
10.5 |
1.1 |
(8.3–12.6) |
Wichita Falls, Texas |
822 |
9.8 |
1.6 |
(6.6–12.9) |
Wilmington, Delaware-Maryland-New Jersey† |
2,206 |
9.6 |
0.9 |
(7.8–11.3) |
TABLE 53. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
2,094 |
14.0 |
1.6 |
(10.8–17.1) |
Yakima, Washington |
738 |
7.8 |
1.2 |
(5.4–10.1) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,058 |
8.4 |
1.5 |
(5.4–11.3) |
Median |
9.0 |
|||
Range |
3.4-14.5 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Defined as ever been told by a health professional that the respondent had asthma and reporting that they still have asthma. † Metropolitan division. |
TABLE 54. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
502 |
5.8 |
1.8 |
(2.2–9.3) |
Nassau County, Florida |
516 |
6.0 |
1.4 |
(3.2–8.7) |
Orange County, Florida |
998 |
9.9 |
1.4 |
(7.1–12.6) |
Osceola County, Florida |
569 |
11.3 |
2.3 |
(6.7–15.8) |
Palm Beach County, Florida |
547 |
7.1 |
1.5 |
(4.1–10.0) |
Pasco County, Florida |
535 |
10.5 |
2.0 |
(6.5–14.4) |
Pinellas County, Florida |
493 |
9.9 |
2.2 |
(5.5–14.2) |
Polk County, Florida |
518 |
9.6 |
1.9 |
(5.8–13.3) |
St. Johns County, Florida |
520 |
8.7 |
1.6 |
(5.5–11.8) |
St. Lucie County, Florida |
501 |
9.0 |
1.5 |
(6.0–11.9) |
Santa Rosa County, Florida |
494 |
10.7 |
2.0 |
(6.7–14.6) |
Sarasota County, Florida |
603 |
5.2 |
1.0 |
(3.2–7.1) |
Seminole County, Florida |
484 |
6.1 |
1.2 |
(3.7–8.4) |
Volusia County, Florida |
858 |
10.0 |
2.2 |
(5.6–14.3) |
Wakulla County, Florida |
533 |
14.1 |
3.1 |
(8.0–20.1) |
Cobb County, Georgia |
253 |
9.2 |
2.1 |
(5.0–13.3) |
DeKalb County, Georgia |
341 |
8.2 |
1.8 |
(4.6–11.7) |
Fulton County, Georgia |
330 |
7.0 |
2.0 |
(3.0–10.9) |
Gwinnett County, Georgia |
249 |
10.5 |
2.8 |
(5.0–15.9) |
Hawaii County, Hawaii |
1,464 |
12.2 |
1.2 |
(9.8–14.5) |
Honolulu County, Hawaii |
2,933 |
9.0 |
0.7 |
(7.6–10.3) |
Kauai County, Hawaii |
643 |
5.4 |
1.0 |
(3.4–7.3) |
Maui County, Hawaii |
1,457 |
10.7 |
1.3 |
(8.1–13.2) |
Ada County, Idaho |
857 |
12.3 |
1.8 |
(8.7–15.8) |
Bonneville County, Idaho |
520 |
9.0 |
1.5 |
(6.0–11.9) |
Canyon County, Idaho |
613 |
8.6 |
1.4 |
(5.8–11.3) |
Kootenai County, Idaho |
564 |
7.4 |
1.3 |
(4.8–9.9) |
Nez Perce County, Idaho |
380 |
13.7 |
2.3 |
(9.1–18.2) |
Twin Falls County, Idaho |
431 |
7.1 |
1.5 |
(4.1–10.0) |
Cook County, Illinois |
2,879 |
9.0 |
0.8 |
(7.4–10.5) |
DuPage County, Illinois |
255 |
6.1 |
1.7 |
(2.7–9.4) |
Allen County, Indiana |
584 |
10.7 |
1.7 |
(7.3–14.0) |
Lake County, Indiana |
997 |
9.8 |
1.4 |
(7.0–12.5) |
Marion County, Indiana |
1,457 |
11.6 |
1.3 |
(9.0–14.1) |
Linn County, Iowa |
492 |
8.1 |
1.6 |
(4.9–11.2) |
Polk County, Iowa |
763 |
8.7 |
1.5 |
(5.7–11.6) |
Johnson County, Kansas |
1,410 |
7.9 |
1.0 |
(5.9–9.8) |
Sedgwick County, Kansas |
1,431 |
11.3 |
1.2 |
(8.9–13.6) |
Shawnee County, Kansas |
616 |
8.2 |
1.3 |
(5.6–10.7) |
Wyandotte County, Kansas |
604 |
9.6 |
1.8 |
(6.0–13.1) |
Jefferson County, Kentucky |
407 |
10.8 |
1.8 |
(7.2–14.3) |
Caddo Parish, Louisiana |
446 |
5.6 |
1.4 |
(2.8–8.3) |
East Baton Rouge Parish, Louisiana |
715 |
5.1 |
1.4 |
(2.3–7.8) |
Jefferson Parish, Louisiana |
593 |
6.3 |
1.2 |
(3.9–8.6) |
Orleans Parish, Louisiana |
375 |
8.4 |
1.8 |
(4.8–11.9) |
St. Tammany Parish, Louisiana |
369 |
4.4 |
1.0 |
(2.4–6.3) |
Androscoggin County, Maine |
497 |
9.1 |
1.5 |
(6.1–12.0) |
Cumberland County, Maine |
1,379 |
9.2 |
1.1 |
(7.0–11.3) |
Kennebec County, Maine |
648 |
11.9 |
2.0 |
(7.9–15.8) |
Penobscot County, Maine |
688 |
11.2 |
1.5 |
(8.2–14.1) |
Sagadahoc County, Maine |
299 |
8.5 |
1.9 |
(4.7–12.2) |
York County, Maine |
936 |
9.7 |
1.2 |
(7.3–12.0) |
Anne Arundel County, Maryland |
595 |
5.6 |
1.1 |
(3.4–7.7) |
Baltimore County, Maryland |
1,050 |
8.4 |
1.2 |
(6.0–10.7) |
Cecil County, Maryland |
269 |
5.9 |
1.6 |
(2.7–9.0) |
Charles County, Maryland |
349 |
6.9 |
1.5 |
(3.9–9.8) |
Frederick County, Maryland |
573 |
7.8 |
1.4 |
(5.0–10.5) |
Harford County, Maryland |
280 |
10.2 |
2.3 |
(5.6–14.7) |
Howard County, Maryland |
341 |
9.6 |
2.5 |
(4.7–14.5) |
Montgomery County, Maryland |
1,055 |
6.1 |
0.9 |
(4.3–7.8) |
Prince George´s County, Maryland |
790 |
11.8 |
1.6 |
(8.6–14.9) |
Queen Anne´s County, Maryland |
295 |
7.5 |
1.9 |
(3.7–11.2) |
Washington County, Maryland |
406 |
8.7 |
1.7 |
(5.3–12.0) |
TABLE 54. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
532 |
11.1 |
2.0 |
(7.1–15.0) |
Bristol County, Massachusetts |
2,915 |
10.1 |
1.3 |
(7.5–12.6) |
Essex County, Massachusetts |
2,125 |
10.1 |
1.2 |
(7.7–12.4) |
Hampden County, Massachusetts |
1,585 |
9.9 |
1.2 |
(7.5–12.2) |
Hampshire County, Massachusetts |
275 |
12.1 |
2.8 |
(6.6–17.5) |
Middlesex County, Massachusetts |
3,006 |
10.2 |
1.2 |
(7.8–12.5) |
Norfolk County, Massachusetts |
855 |
7.4 |
1.0 |
(5.4–9.3) |
Plymouth County, Massachusetts |
680 |
9.2 |
1.3 |
(6.6–11.7) |
Suffolk County, Massachusetts |
1,755 |
11.4 |
1.4 |
(8.6–14.1) |
Worcester County, Massachusetts |
2,094 |
14.0 |
1.6 |
(10.8–17.1) |
Kent County, Michigan |
444 |
7.8 |
1.7 |
(4.4–11.1) |
Macomb County, Michigan |
513 |
11.1 |
1.8 |
(7.5–14.6) |
Oakland County, Michigan |
932 |
7.3 |
1.1 |
(5.1–9.4) |
Wayne County, Michigan |
1,898 |
12.1 |
1.2 |
(9.7–14.4) |
Anoka County, Minnesota |
394 |
5.6 |
1.6 |
(2.4–8.7) |
Dakota County, Minnesota |
568 |
10.1 |
2.2 |
(5.7–14.4) |
Hennepin County, Minnesota |
2,046 |
9.0 |
1.4 |
(6.2–11.7) |
Ramsey County, Minnesota |
915 |
8.2 |
3.5 |
(1.3–15.0) |
Washington County, Minnesota |
258 |
7.3 |
2.2 |
(2.9–11.6) |
DeSoto County, Mississippi |
367 |
7.5 |
1.8 |
(3.9–11.0) |
Hinds County, Mississippi |
337 |
7.5 |
2.0 |
(3.5–11.4) |
Jackson County, Missouri |
523 |
12.3 |
2.0 |
(8.3–16.2) |
St. Louis County, Missouri |
604 |
8.9 |
1.7 |
(5.5–12.2) |
St. Louis city, Missouri |
644 |
11.1 |
1.7 |
(7.7–14.4) |
Flathead County, Montana |
697 |
8.6 |
1.4 |
(5.8–11.3) |
Lewis and Clark County, Montana |
532 |
9.8 |
1.6 |
(6.6–12.9) |
Yellowstone County, Montana |
482 |
10.3 |
2.2 |
(5.9–14.6) |
Adams County, Nebraska |
477 |
10.0 |
2.2 |
(5.6–14.3) |
Dakota County, Nebraska |
737 |
6.6 |
1.1 |
(4.4–8.7) |
Douglas County, Nebraska |
949 |
7.2 |
1.2 |
(4.8–9.5) |
Hall County, Nebraska |
585 |
6.5 |
1.3 |
(3.9–9.0) |
Lancaster County, Nebraska |
844 |
10.1 |
1.5 |
(7.1–13.0) |
Lincoln County, Nebraska |
543 |
13.4 |
2.8 |
(7.9–18.8) |
Madison County, Nebraska |
465 |
3.5 |
0.7 |
(2.1–4.8) |
Sarpy County, Nebraska |
577 |
10.2 |
1.9 |
(6.4–13.9) |
Scotts Bluff County, Nebraska |
735 |
5.9 |
1.4 |
(3.1–8.6) |
Seward County, Nebraska |
284 |
6.5 |
1.6 |
(3.3–9.6) |
Clark County, Nevada |
1,258 |
9.3 |
1.1 |
(7.1–11.4) |
Washoe County, Nevada |
1,295 |
8.1 |
1.0 |
(6.1–10.0) |
Grafton County, New Hampshire |
510 |
12.0 |
2.0 |
(8.0–15.9) |
Hillsborough County, New Hampshire |
1,420 |
10.5 |
1.1 |
(8.3–12.6) |
Merrimack County, New Hampshire |
634 |
11.6 |
1.9 |
(7.8–15.3) |
Rockingham County, New Hampshire |
1,015 |
9.3 |
1.3 |
(6.7–11.8) |
Strafford County, New Hampshire |
576 |
10.9 |
1.7 |
(7.5–14.2) |
Atlantic County, New Jersey |
919 |
8.3 |
1.6 |
(5.1–11.4) |
Bergen County, New Jersey |
624 |
8.3 |
1.6 |
(5.1–11.4) |
Burlington County, New Jersey |
565 |
8.2 |
1.5 |
(5.2–11.1) |
Camden County, New Jersey |
599 |
11.6 |
2.1 |
(7.4–15.7) |
Cape May County, New Jersey |
519 |
6.5 |
1.4 |
(3.7–9.2) |
Essex County, New Jersey |
1,019 |
8.3 |
1.0 |
(6.3–10.2) |
Gloucester County, New Jersey |
522 |
10.6 |
1.9 |
(6.8–14.3) |
Hudson County, New Jersey |
1,094 |
10.8 |
1.2 |
(8.4–13.1) |
Hunterdon County, New Jersey |
512 |
7.5 |
1.5 |
(4.5–10.4) |
Mercer County, New Jersey |
501 |
7.4 |
1.6 |
(4.2–10.5) |
Middlesex County, New Jersey |
631 |
7.5 |
1.4 |
(4.7–10.2) |
Monmouth County, New Jersey |
564 |
9.3 |
1.8 |
(5.7–12.8) |
Morris County, New Jersey |
699 |
6.9 |
1.2 |
(4.5–9.2) |
Ocean County, New Jersey |
534 |
10.8 |
1.9 |
(7.0–14.5) |
Passaic County, New Jersey |
499 |
8.8 |
1.4 |
(6.0–11.5) |
Somerset County, New Jersey |
535 |
7.2 |
1.4 |
(4.4–9.9) |
Sussex County, New Jersey |
501 |
8.8 |
1.5 |
(5.8–11.7) |
Union County, New Jersey |
518 |
6.3 |
1.2 |
(3.9–8.6) |
Warren County, New Jersey |
479 |
9.0 |
1.7 |
(5.6–12.3) |
TABLE 54. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
1,262 |
9.8 |
1.4 |
(7.0–12.5) |
Dona Ana County, New Mexico |
498 |
8.9 |
1.9 |
(5.1–12.6) |
Sandoval County, New Mexico |
517 |
9.5 |
1.7 |
(6.1–12.8) |
San Juan County, New Mexico |
684 |
11.7 |
2.0 |
(7.7–15.6) |
Santa Fe County, New Mexico |
607 |
9.2 |
1.9 |
(5.4–12.9) |
Valencia County, New Mexico |
347 |
6.5 |
1.6 |
(3.3–9.6) |
Bronx County, New York |
430 |
14.6 |
2.4 |
(9.8–19.3) |
Erie County, New York |
477 |
12.1 |
2.2 |
(7.7–16.4) |
Kings County, New York |
903 |
11.1 |
1.4 |
(8.3–13.8) |
Monroe County, New York |
380 |
8.4 |
1.8 |
(4.8–11.9) |
Nassau County, New York |
473 |
6.9 |
1.4 |
(4.1–9.6) |
New York County, New York |
1,034 |
10.0 |
1.3 |
(7.4–12.5) |
Queens County, New York |
795 |
7.0 |
1.0 |
(5.0–8.9) |
Suffolk County, New York |
587 |
7.9 |
1.8 |
(4.3–11.4) |
Westchester County, New York |
383 |
10.3 |
2.2 |
(5.9–14.6) |
Buncombe County, North Carolina |
262 |
9.6 |
2.7 |
(4.3–14.8) |
Cabarrus County, North Carolina |
307 |
4.5 |
1.3 |
(1.9–7.0) |
Catawba County, North Carolina |
294 |
6.1 |
1.6 |
(2.9–9.2) |
Durham County, North Carolina |
617 |
7.7 |
1.3 |
(5.1–10.2) |
Gaston County, North Carolina |
264 |
7.5 |
1.8 |
(3.9–11.0) |
Guilford County, North Carolina |
692 |
7.6 |
1.3 |
(5.0–10.1) |
Johnston County, North Carolina |
273 |
7.7 |
1.9 |
(3.9–11.4) |
Mecklenburg County, North Carolina |
604 |
5.7 |
1.1 |
(3.5–7.8) |
Orange County, North Carolina |
297 |
10.5 |
3.5 |
(3.6–17.3) |
Randolph County, North Carolina |
395 |
6.9 |
1.7 |
(3.5–10.2) |
Union County, North Carolina |
347 |
6.4 |
1.4 |
(3.6–9.1) |
Wake County, North Carolina |
709 |
5.9 |
1.3 |
(3.3–8.4) |
Burleigh County, North Dakota |
554 |
6.0 |
1.4 |
(3.2–8.7) |
Cass County, North Dakota |
774 |
5.0 |
1.0 |
(3.0–6.9) |
Ward County, North Dakota |
460 |
9.4 |
2.0 |
(5.4–13.3) |
Cuyahoga County, Ohio |
714 |
7.8 |
1.4 |
(5.0–10.5) |
Franklin County, Ohio |
678 |
10.5 |
1.6 |
(7.3–13.6) |
Hamilton County, Ohio |
720 |
10.1 |
1.7 |
(6.7–13.4) |
Lucas County, Ohio |
723 |
12.1 |
1.7 |
(8.7–15.4) |
Mahoning County, Ohio |
728 |
6.7 |
1.2 |
(4.3–9.0) |
Montgomery County, Ohio |
696 |
10.0 |
1.9 |
(6.2–13.7) |
Stark County, Ohio |
711 |
7.3 |
1.3 |
(4.7–9.8) |
Summit County, Ohio |
697 |
10.5 |
1.5 |
(7.5–13.4) |
Cleveland County, Oklahoma |
433 |
9.2 |
1.8 |
(5.6–12.7) |
Oklahoma County, Oklahoma |
1,430 |
7.9 |
0.9 |
(6.1–9.6) |
Tulsa County, Oklahoma |
1,512 |
10.2 |
1.1 |
(8.0–12.3) |
Clackamas County, Oregon |
449 |
5.4 |
1.4 |
(2.6–8.1) |
Lane County, Oregon |
507 |
10.3 |
2.0 |
(6.3–14.2) |
Multnomah County, Oregon |
810 |
8.3 |
1.2 |
(5.9–10.6) |
Washington County, Oregon |
582 |
10.5 |
1.9 |
(6.7–14.2) |
Allegheny County, Pennsylvania |
1,369 |
8.2 |
0.9 |
(6.4–9.9) |
Lehigh County, Pennsylvania |
279 |
9.4 |
2.0 |
(5.4–13.3) |
Luzerne County, Pennsylvania |
312 |
8.8 |
2.3 |
(4.2–13.3) |
Montgomery County, Pennsylvania |
344 |
7.3 |
1.9 |
(3.5–11.0) |
Northampton County, Pennsylvania |
257 |
9.8 |
2.4 |
(5.0–14.5) |
Philadelphia County, Pennsylvania |
1,396 |
12.6 |
1.3 |
(10.0–15.1) |
Westmoreland County, Pennsylvania |
339 |
13.9 |
2.6 |
(8.8–18.9) |
Bristol County, Rhode Island |
277 |
11.8 |
2.5 |
(6.9–16.7) |
Kent County, Rhode Island |
935 |
10.4 |
1.2 |
(8.0–12.7) |
Newport County, Rhode Island |
482 |
9.0 |
1.9 |
(5.2–12.7) |
Providence County, Rhode Island |
4,120 |
12.6 |
1.0 |
(10.6–14.5) |
Washington County, Rhode Island |
746 |
6.8 |
1.2 |
(4.4–9.1) |
Aiken County, South Carolina |
470 |
8.6 |
1.7 |
(5.2–11.9) |
Beaufort County, South Carolina |
674 |
5.1 |
1.0 |
(3.1–7.0) |
Berkeley County, South Carolina |
358 |
7.8 |
1.9 |
(4.0–11.5) |
Charleston County, South Carolina |
667 |
4.4 |
1.0 |
(2.4–6.3) |
Greenville County, South Carolina |
491 |
9.6 |
2.6 |
(4.5–14.6) |
Horry County, South Carolina |
552 |
10.1 |
1.8 |
(6.5–13.6) |
TABLE 54. (Continued) Estimated prevalence of adults aged ≥18 years told by a health professional that they currently have asthma,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
661 |
7.2 |
1.5 |
(4.2–10.1) |
Minnehaha County, South Dakota |
597 |
7.7 |
1.5 |
(4.7–10.6) |
Pennington County, South Dakota |
659 |
7.0 |
1.1 |
(4.8–9.1) |
Davidson County, Tennessee |
417 |
3.3 |
0.9 |
(1.5–5.0) |
Hamilton County, Tennessee |
386 |
4.5 |
1.3 |
(1.9–7.0) |
Knox County, Tennessee |
369 |
5.3 |
1.4 |
(2.5–8.0) |
Shelby County, Tennessee |
394 |
5.4 |
1.5 |
(2.4–8.3) |
Sullivan County, Tennessee |
460 |
8.0 |
2.1 |
(3.8–12.1) |
Bexar County, Texas |
960 |
7.1 |
1.1 |
(4.9–9.2) |
Dallas County, Texas |
387 |
11.1 |
2.6 |
(6.0–16.1) |
El Paso County, Texas |
867 |
5.8 |
0.9 |
(4.0–7.5) |
Fort Bend County, Texas |
921 |
4.8 |
0.7 |
(3.4–6.1) |
Harris County, Texas |
1,454 |
5.1 |
0.7 |
(3.7–6.4) |
Hidalgo County, Texas |
594 |
5.2 |
1.3 |
(2.6–7.7) |
Lubbock County, Texas |
751 |
8.6 |
1.4 |
(5.8–11.3) |
Midland County, Texas |
521 |
12.4 |
2.2 |
(8.0–16.7) |
Potter County, Texas |
335 |
6.8 |
1.6 |
(3.6–9.9) |
Randall County, Texas |
453 |
11.9 |
2.7 |
(6.6–17.1) |
Smith County, Texas |
670 |
9.7 |
2.5 |
(4.8–14.6) |
Tarrant County, Texas |
602 |
9.7 |
2.1 |
(5.5–13.8) |
Travis County, Texas |
754 |
7.0 |
1.7 |
(3.6–10.3) |
Val Verde County, Texas |
558 |
5.0 |
1.0 |
(3.0–6.9) |
Webb County, Texas |
918 |
3.4 |
0.6 |
(2.2–4.5) |
Wichita County, Texas |
671 |
11.4 |
1.9 |
(7.6–15.1) |
Davis County, Utah |
876 |
5.8 |
0.9 |
(4.0–7.5) |
Salt Lake County, Utah |
3,266 |
10.1 |
0.7 |
(8.7–11.4) |
Summit County, Utah |
451 |
6.9 |
1.2 |
(4.5–9.2) |
Tooele County, Utah |
564 |
11.8 |
2.9 |
(6.1–17.4) |
Utah County, Utah |
1,107 |
10.7 |
1.8 |
(7.1–14.2) |
Weber County, Utah |
771 |
9.9 |
1.4 |
(7.1–12.6) |
Chittenden County, Vermont |
1,425 |
10.5 |
1.3 |
(7.9–13.0) |
Franklin County, Vermont |
484 |
10.3 |
1.8 |
(6.7–13.8) |
Orange County, Vermont |
354 |
13.6 |
2.1 |
(9.4–17.7) |
Rutland County, Vermont |
654 |
14.5 |
2.0 |
(10.5–18.4) |
Washington County, Vermont |
667 |
7.3 |
1.2 |
(4.9–9.6) |
Windsor County, Vermont |
676 |
11.4 |
1.6 |
(8.2–14.5) |
Benton County, Washington |
390 |
7.8 |
1.5 |
(4.8–10.7) |
Clark County, Washington |
1,088 |
9.9 |
1.2 |
(7.5–12.2) |
Franklin County, Washington |
254 |
9.0 |
2.3 |
(4.4–13.5) |
King County, Washington |
3,018 |
8.7 |
0.7 |
(7.3–10.0) |
Kitsap County, Washington |
913 |
12.2 |
1.5 |
(9.2–15.1) |
Pierce County, Washington |
1,711 |
10.4 |
1.0 |
(8.4–12.3) |
Snohomish County, Washington |
1,638 |
9.4 |
1.0 |
(7.4–11.3) |
Spokane County, Washington |
1,204 |
12.5 |
1.5 |
(9.5–15.4) |
Thurston County, Washington |
771 |
11.4 |
1.5 |
(8.4–14.3) |
Yakima County, Washington |
738 |
7.8 |
1.2 |
(5.4–10.1) |
Kanawha County, West Virginia |
488 |
5.8 |
1.3 |
(3.2–8.3) |
Milwaukee County, Wisconsin |
1,214 |
12.4 |
1.8 |
(8.8–15.9) |
Laramie County, Wyoming |
905 |
11.0 |
1.4 |
(8.2–13.7) |
Natrona County, Wyoming |
766 |
10.0 |
1.5 |
(7.0–12.9) |
Median |
8.9 |
|||
Range |
3.3-14.6 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Defined as ever been told by a health professional that the respondent had asthma and reporting that they still have asthma. † Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 56. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
953 |
4.6 |
0.8 |
(3.0–6.1) |
Grand Island, Nebraska |
862 |
9.0 |
1.2 |
(6.6–11.3) |
Grand Rapids–Wyoming, Michigan |
621 |
9.9 |
1.4 |
(7.1–12.6) |
Greensboro–High Point, North Carolina |
1,161 |
10.6 |
1.1 |
(8.4–12.7) |
Greenville, South Carolina |
781 |
8.7 |
1.2 |
(6.3–11.0) |
Hagerstown–Martinsburg, Maryland–West Virginia |
644 |
7.9 |
1.0 |
(5.9–9.8) |
Hartford–West Hartford–East Hartford, Connecticut |
2,020 |
7.9 |
0.7 |
(6.5–9.2) |
Hastings, Nebraska |
589 |
8.2 |
1.2 |
(5.8–10.5) |
Helena, Montana |
641 |
5.7 |
1.1 |
(3.5–7.8) |
Hickory–Morganton–Lenoir, North Carolina |
600 |
10.0 |
1.3 |
(7.4–12.5) |
Hilo, Hawaii |
1,480 |
8.2 |
0.7 |
(6.8–9.5) |
Hilton Head Island–Beaufort, South Carolina |
802 |
8.7 |
1.4 |
(5.9–11.4) |
Homosassa Springs, Florida |
535 |
10.1 |
1.4 |
(7.3–12.8) |
Honolulu, Hawaii |
2,956 |
8.5 |
0.6 |
(7.3–9.6) |
Houston–Sugar Land–Baytown, Texas |
2,744 |
8.5 |
0.7 |
(7.1–9.8) |
Huntington–Ashland, West Virginia–Kentucky–Ohio |
659 |
13.0 |
1.5 |
(10.0–15.9) |
Idaho Falls, Idaho |
666 |
8.4 |
1.3 |
(5.8–10.9) |
Indianapolis–Carmel, Indiana |
2,256 |
9.6 |
0.8 |
(8.0–11.1) |
Jackson, Mississippi |
761 |
11.7 |
1.3 |
(9.1–14.2) |
Jacksonville, Florida |
2,590 |
9.3 |
0.9 |
(7.5–11.0) |
Kahului–Wailuku, Hawaii |
1,465 |
7.8 |
0.8 |
(6.2–9.3) |
Kalispell, Montana |
701 |
4.9 |
0.8 |
(3.3–6.4) |
Kansas City, Missouri–Kansas |
3,379 |
9.1 |
0.7 |
(7.7–10.4) |
Kapaa, Hawaii |
645 |
6.2 |
0.9 |
(4.4–7.9) |
Kennewick–Richland–Pasco, Washington |
646 |
10.3 |
1.6 |
(7.1–13.4) |
Key West–Marathon, Florida |
505 |
7.3 |
1.5 |
(4.3–10.2) |
Kingsport–Bristol, Tennessee–Virginia |
655 |
11.1 |
1.6 |
(7.9–14.2) |
Knoxville, Tennessee |
529 |
9.1 |
1.4 |
(6.3–11.8) |
Lake City, Florida |
566 |
11.9 |
1.6 |
(8.7–15.0) |
Lakeland–Winter Haven, Florida |
521 |
13.9 |
1.8 |
(10.3–17.4) |
Laredo, Texas |
920 |
13.4 |
1.2 |
(11.0–15.7) |
Las Cruces, New Mexico |
503 |
12.0 |
1.5 |
(9.0–14.9) |
Las Vegas–Paradise, Nevada |
1,268 |
9.0 |
0.9 |
(7.2–10.7) |
Lebanon, New Hampshire–Vermont |
1,557 |
8.1 |
0.8 |
(6.5–9.6) |
Lewiston, Idaho–Washington |
602 |
12.2 |
1.5 |
(9.2–15.1) |
Lewiston–Auburn, Maine |
502 |
9.5 |
1.3 |
(6.9–12.0) |
Lincoln, Nebraska |
1,134 |
6.1 |
0.8 |
(4.5–7.6) |
Little Rock–North Little Rock, Arkansas |
822 |
10.0 |
1.3 |
(7.4–12.5) |
Los Angeles–Long Beach–Glendale, California† |
2,616 |
8.7 |
0.6 |
(7.5–9.8) |
Louisville, Kentucky–Indiana |
907 |
6.9 |
0.9 |
(5.1–8.6) |
Lubbock, Texas |
780 |
11.0 |
1.9 |
(7.2–14.7) |
Manchester–Nashua, New Hampshire |
1,420 |
7.1 |
0.7 |
(5.7–8.4) |
McAllen–Edinburg–Mission, Texas |
596 |
13.8 |
1.6 |
(10.6–16.9) |
Memphis, Tennessee–Mississippi–Arkansas |
1,157 |
12.7 |
1.5 |
(9.7–15.6) |
Miami–Fort Lauderdale–Miami Beach, Florida |
1,029 |
7.5 |
0.9 |
(5.7–9.2) |
Midland, Texas |
525 |
9.8 |
1.5 |
(6.8–12.7) |
Milwaukee–Waukesha–West Allis, Wisconsin |
1,531 |
7.6 |
0.9 |
(5.8–9.3) |
Minneapolis–St. Paul–Bloomington, Minnesota–Wisconsin |
4,865 |
5.3 |
0.4 |
(4.5–6.0) |
Minot, North Dakota |
556 |
8.2 |
1.3 |
(5.6–10.7) |
Mobile, Alabama |
681 |
11.5 |
1.3 |
(8.9–14.0) |
Myrtle Beach–Conway–North Myrtle Beach, South Carolina |
554 |
10.5 |
1.4 |
(7.7–13.2) |
Naples–Marco Island, Florida |
522 |
9.2 |
1.4 |
(6.4–11.9) |
Nashville–Davidson—-Murfreesboro, Tennessee |
830 |
8.7 |
1.1 |
(6.5–10.8) |
Nassau–Suffolk, New York* |
1,072 |
6.6 |
0.8 |
(5.0–8.1) |
Newark–Union, New Jersey–Pennsylvania† |
3,324 |
9.6 |
0.7 |
(8.2–10.9) |
New Haven–Milford, Connecticut |
1,674 |
8.0 |
0.9 |
(6.2–9.7) |
New Orleans–Metairie–Kenner, Louisiana |
1,536 |
11.0 |
0.9 |
(9.2–12.7) |
New York–White Plains–Wayne, New York–New Jersey† |
6,197 |
8.7 |
0.4 |
(7.9–9.4) |
Norfolk, Nebraska |
675 |
6.6 |
0.9 |
(4.8–8.3) |
North Platte, Nebraska North Port–Bradenton–Sarasota, Florida |
578 1,1.35 |
9.3 9.3 |
1.4 0.9 |
(6.5–12.0) (7.5 – 11.0) |
Ocala, Florida |
589 |
12.1 |
1.5 |
(9.1–15.0) |
Ocean City, New Jersey |
521 |
11.8 |
1.5 |
(8.8–14.7) |
TABLE 56. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden–Clearfield, Utah |
1,701 |
6.9 |
0.7 |
(5.5–8.2) |
Oklahoma City, Oklahoma |
2,469 |
8.7 |
0.6 |
(7.5–9.8) |
Olympia, Washington |
777 |
7.4 |
0.9 |
(5.6–9.1) |
Omaha–Council Bluffs, Nebraska–Iowa |
2,358 |
7.5 |
0.6 |
(6.3–8.6) |
Orlando–Kissimmee, Florida |
2,676 |
11.3 |
0.9 |
(9.5–13.0) |
Palm Bay–Melbourne–Titusville, Florida |
527 |
11.4 |
1.6 |
(8.2–14.5) |
Panama City–Lynn Haven, Florida Peabody, Massachusetts |
545 2,133 |
8.9 7.4 |
1.3 0.9 |
(6.3–11.4) (5.6 – 9.1) |
Pensacola–Ferry Pass–Brent, Florida |
1,016 |
11.3 |
1.2 |
(8.9–13.6) |
Philadelphia, Pennsylvania† |
2,366 |
10.3 |
0.9 |
(8.5–12.0) |
Phoenix–Mesa–Scottsdale, Arizona |
1,688 |
7.1 |
0.7 |
(5.7–8.4) |
Pittsburgh, Pennsylvania |
2,422 |
9.2 |
0.6 |
(8.0–10.3) |
Portland–South Portland–Biddeford, Maine |
2,627 |
6.7 |
0.5 |
(5.7–7.6) |
Portland–Vancouver–Beaverton, Oregon–Washington |
3,402 |
6.5 |
0.4 |
(5.7–7.2) |
Port St. Lucie–Fort Pierce, Florida |
1,025 |
12.5 |
1.4 |
(9.7–15.2) |
Providence–New Bedford–Fall River, Rhode Island–Massachusetts |
9,523 |
7.9 |
0.3 |
(7.3–8.4) |
Provo–Orem, Utah |
1,177 |
4.8 |
0.6 |
(3.6–5.9) |
Raleigh–Cary, North Carolina |
1,028 |
7.4 |
0.9 |
(5.6–9.1) |
Rapid City, South Dakota |
847 |
7.5 |
0.9 |
(5.7–9.2) |
Reno–Sparks, Nevada |
1,326 |
6.7 |
0.9 |
(4.9–8.4) |
Richmond, Virginia |
802 |
9.8 |
1.4 |
(7.0–12.5) |
Riverside–San Bernardino–Ontario, California |
1,878 |
10.2 |
0.9 |
(8.4–11.9) |
Rochester, New York |
568 |
9.7 |
1.4 |
(6.9–12.4) |
Rockingham County–Strafford County, New Hampshire† |
1,607 |
7.7 |
0.8 |
(6.1–9.2) |
Rutland, Vermont |
659 |
7.7 |
1.2 |
(5.3–10.0) |
Sacramento—-Arden–Arcade—-Roseville, California |
1,294 |
8.3 |
0.9 |
(6.5–10.0) |
St. Louis, Missouri–Illinois |
1,749 |
8.5 |
0.9 |
(6.7–10.2) |
Salt Lake City, Utah |
4,314 |
6.6 |
0.4 |
(5.8–7.3) |
San Antonio, Texas |
1,128 |
9.2 |
0.9 |
(7.4–10.9) |
San Diego–Carlsbad–San Marcos, California |
1,695 |
8.9 |
0.8 |
(7.3–10.4) |
San Francisco–Oakland–Fremont, California |
2,357 |
7.1 |
0.6 |
(5.9–8.2) |
San Jose–Sunnyvale–Santa Clara, California |
913 |
8.6 |
1.2 |
(6.2–10.9) |
Santa Ana–Anaheim–Irvine, California† |
1,446 |
8.1 |
0.9 |
(6.3–9.8) |
Santa Fe, New Mexico |
610 |
6.0 |
1.2 |
(3.6–8.3) |
Scottsbluff, Nebraska |
760 |
9.4 |
1.0 |
(7.4–11.3) |
Scranton—-Wilkes–Barre, Pennsylvania |
554 |
10.0 |
1.4 |
(7.2–12.7) |
Seaford, Delaware |
1,237 |
11.6 |
1.1 |
(9.4–13.7) |
Seattle–Bellevue–Everett, Washington† |
4,694 |
6.4 |
0.5 |
(5.4–7.3) |
Sebring, Florida |
522 |
14.1 |
2.0 |
(10.1–18.0) |
Shreveport–Bossier City, Louisiana |
681 |
10.0 |
1.2 |
(7.6–12.3) |
Sioux City, Iowa–Nebraska–South Dakota |
1,220 |
7.3 |
1.3 |
(4.7–9.8) |
Sioux Falls, South Dakota |
839 |
5.1 |
0.7 |
(3.7–6.4) |
Spokane, Washington |
1,217 |
8.3 |
0.8 |
(6.7–9.8) |
Springfield, Massachusetts |
2,053 |
7.7 |
0.7 |
(6.3–9.0) |
Tacoma, Washington† |
1,723 |
9.5 |
0.9 |
(7.7–11.2) |
Tallahassee, Florida |
2,046 |
11.6 |
1.5 |
(8.6–14.5) |
Tampa–St. Petersburg–Clearwater, Florida |
2,034 |
11.9 |
1.1 |
(9.7–14.0) |
Toledo, Ohio |
862 |
9.7 |
1.3 |
(7.1–12.2) |
Topeka, Kansas |
835 |
9.6 |
1.1 |
(7.4–11.7) |
Trenton–Ewing, New Jersey |
504 |
10.0 |
1.5 |
(7.0–12.9) |
Tucson, Arizona |
698 |
8.0 |
1.1 |
(5.8–10.1) |
Tulsa, Oklahoma |
2,141 |
10.9 |
0.8 |
(9.3–12.4) |
Tuscaloosa, Alabama |
518 |
9.3 |
1.1 |
(7.1–11.4) |
Twin Falls, Idaho |
539 |
8.3 |
1.2 |
(5.9–10.6) |
Tyler, Texas |
672 |
8.2 |
1.1 |
(6.0–10.3) |
Virginia Beach–Norfolk–Newport News, Virginia–North Carolina |
1,101 |
8.5 |
0.9 |
(6.7–10.2) |
Warren–Troy–Farmington Hills, Michigan† |
1,801 |
11.2 |
1.6 |
(8.0–14.3) |
Washington–Arlington–Alexandria, District of Columbia–Virginia–Maryland–West Virginia† |
6,444 |
8.7 |
0.8 |
(7.1–10.2) |
Wauchula, Florida |
530 |
15.4 |
2.4 |
(10.6–20.1) |
West Palm Beach–Boca Raton–Boynton Beach, Florida† |
553 |
9.7 |
1.7 |
(6.3–13.0) |
Wichita, Kansas |
1,852 |
7.8 |
0.6 |
(6.6–8.9) |
Wichita Falls, Texas |
829 |
10.4 |
1.2 |
(8.0–12.7) |
Wilmington, Delaware–Maryland–New Jersey† |
2,216 |
8.2 |
0.7 |
(6.8–9.5) |
TABLE 56. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
2,100 |
8.3 |
0.8 |
(6.7–9.8) |
Yakima, Washington |
741 |
9.9 |
1.3 |
(7.3–12.4) |
Youngstown–Warren–Boardman, Ohio–Pennsylvania |
1,062 |
9.1 |
1.2 |
(6.7–11.4) |
Median |
8.9 |
|||
Range |
4.6–15.4 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Did not include diabetes during pregnancy in females, or prediabetes or borderline diabetes in adults. † Metropolitan division. |
TABLE 57. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
505 |
7.3 |
1.5 |
(4.3–10.2) |
Nassau County, Florida |
522 |
6.8 |
1.2 |
(4.4–9.1) |
Orange County, Florida |
1,007 |
9.8 |
1.3 |
(7.2–12.3) |
Osceola County, Florida |
570 |
9.7 |
1.4 |
(6.9–12.4) |
Palm Beach County, Florida |
553 |
9.7 |
1.7 |
(6.3–13.0) |
Pasco County, Florida |
541 |
8.4 |
1.2 |
(6.0–10.7) |
Pinellas County, Florida |
498 |
11.3 |
1.6 |
(8.1–14.4) |
Polk County, Florida |
521 |
13.9 |
1.8 |
(10.3–17.4) |
St. Johns County, Florida |
522 |
5.8 |
0.9 |
(4.0–7.5) |
St. Lucie County, Florida |
504 |
15.3 |
1.9 |
(11.5–19.0) |
Santa Rosa County, Florida |
496 |
12.6 |
1.7 |
(9.2–15.9) |
Sarasota County, Florida |
610 |
8.5 |
1.3 |
(5.9–11.0) |
Seminole County, Florida |
492 |
12.7 |
2.1 |
(8.5–16.8) |
Volusia County, Florida |
862 |
13.6 |
1.6 |
(10.4–16.7) |
Wakulla County, Florida |
535 |
12.2 |
2.5 |
(7.3–17.1) |
Cobb County, Georgia |
254 |
10.5 |
2.3 |
(5.9–15.0) |
DeKalb County, Georgia |
342 |
7.9 |
1.8 |
(4.3–11.4) |
Fulton County, Georgia |
329 |
5.5 |
1.4 |
(2.7–8.2) |
Gwinnett County, Georgia |
251 |
5.5 |
1.5 |
(2.5–8.4) |
Hawaii County, Hawaii |
1,480 |
8.2 |
0.7 |
(6.8–9.5) |
Honolulu County, Hawaii |
2,956 |
8.5 |
0.6 |
(7.3–9.6) |
Kauai County, Hawaii |
645 |
6.2 |
0.9 |
(4.4–7.9) |
Maui County, Hawaii |
1,465 |
7.8 |
0.8 |
(6.2–9.3) |
Ada County, Idaho |
866 |
6.5 |
0.9 |
(4.7–8.2) |
Bonneville County, Idaho |
522 |
8.7 |
1.5 |
(5.7–11.6) |
Canyon County, Idaho |
618 |
8.6 |
1.3 |
(6.0–11.1) |
Kootenai County, Idaho |
570 |
8.4 |
1.3 |
(5.8–10.9) |
Nez Perce County, Idaho |
381 |
12.6 |
1.9 |
(8.8–16.3) |
Twin Falls County, Idaho |
434 |
8.3 |
1.4 |
(5.5–11.0) |
Cook County, Illinois |
2,885 |
10.0 |
0.7 |
(8.6–11.3) |
DuPage County, Illinois |
256 |
5.7 |
1.5 |
(2.7–8.6) |
Allen County, Indiana |
587 |
12.5 |
2.0 |
(8.5–16.4) |
Lake County, Indiana |
1,001 |
13.1 |
1.7 |
(9.7–16.4) |
Marion County, Indiana |
1,465 |
11.2 |
1.3 |
(8.6–13.7) |
Linn County, Iowa |
495 |
8.7 |
1.3 |
(6.1–11.2) |
Polk County, Iowa |
765 |
6.5 |
1.0 |
(4.5–8.4) |
Johnson County, Kansas |
1,412 |
6.7 |
0.7 |
(5.3–8.0) |
Sedgwick County, Kansas |
1,437 |
7.9 |
0.7 |
(6.5–9.2) |
Shawnee County, Kansas |
624 |
8.5 |
1.1 |
(6.3–10.6) |
Wyandotte County, Kansas |
607 |
12.7 |
1.6 |
(9.5–15.8) |
Jefferson County, Kentucky |
410 |
6.0 |
1.2 |
(3.6–8.3) |
Caddo Parish, Louisiana |
446 |
11.0 |
1.7 |
(7.6–14.3) |
East Baton Rouge Parish, Louisiana |
722 |
11.2 |
1.4 |
(8.4–13.9) |
Jefferson Parish, Louisiana |
595 |
12.6 |
1.4 |
(9.8–15.3) |
Orleans Parish, Louisiana |
376 |
12.3 |
1.9 |
(8.5–16.0) |
St. Tammany Parish, Louisiana |
372 |
8.9 |
1.5 |
(5.9–11.8) |
Androscoggin County, Maine |
502 |
9.5 |
1.3 |
(6.9–12.0) |
Cumberland County, Maine |
1,389 |
6.0 |
0.7 |
(4.6–7.3) |
Kennebec County, Maine |
653 |
7.7 |
1.0 |
(5.7–9.6) |
Penobscot County, Maine |
691 |
11.1 |
1.3 |
(8.5–13.6) |
Sagadahoc County, Maine |
298 |
8.2 |
1.7 |
(4.8–11.5) |
York County, Maine |
940 |
7.5 |
0.8 |
(5.9–9.0) |
Anne Arundel County, Maryland |
601 |
10.2 |
1.3 |
(7.6–12.7) |
Baltimore County, Maryland |
1,053 |
10.6 |
1.1 |
(8.4–12.7) |
Cecil County, Maryland |
270 |
7.6 |
1.6 |
(4.4–10.7) |
Charles County, Maryland |
349 |
7.9 |
1.5 |
(4.9–10.8) |
Frederick County, Maryland |
577 |
6.7 |
1.1 |
(4.5–8.8) |
Harford County, Maryland |
280 |
8.3 |
1.7 |
(4.9–11.6) |
Howard County, Maryland |
341 |
6.6 |
1.4 |
(3.8–9.3) |
Montgomery County, Maryland |
1,062 |
5.8 |
0.8 |
(4.2–7.3) |
Prince George´s County, Maryland |
794 |
11.6 |
1.3 |
(9.0–14.1) |
Queen Anne´s County, Maryland |
295 |
6.5 |
1.4 |
(3.7–9.2) |
Washington County, Maryland |
408 |
8.6 |
1.4 |
(5.8–11.3) |
TABLE 57. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
532 |
12.2 |
2.1 |
(8.0–16.3) |
Bristol County, Massachusetts |
2,928 |
8.0 |
0.7 |
(6.6–9.3) |
Essex County, Massachusetts |
2,133 |
7.2 |
0.9 |
(5.4–8.9) |
Hampden County, Massachusetts |
1,595 |
9.7 |
1.0 |
(7.7–11.6) |
Hampshire County, Massachusetts |
275 |
3.6 |
0.9 |
(1.8–5.3) |
Middlesex County, Massachusetts |
3,023 |
5.7 |
0.5 |
(4.7–6.6) |
Norfolk County, Massachusetts |
860 |
6.4 |
0.8 |
(4.8–7.9) |
Plymouth County, Massachusetts |
686 |
7.5 |
1.0 |
(5.5–9.4) |
Suffolk County, Massachusetts |
1,762 |
7.9 |
0.9 |
(6.1–9.6) |
Worcester County, Massachusetts |
2,100 |
8.3 |
0.8 |
(6.7–9.8) |
Kent County, Michigan |
444 |
8.8 |
1.5 |
(5.8–11.7) |
Macomb County, Michigan |
516 |
12.9 |
2.2 |
(8.5–17.2) |
Oakland County, Michigan |
936 |
8.3 |
1.0 |
(6.3–10.2) |
Wayne County, Michigan |
1,913 |
12.1 |
0.9 |
(10.3–13.8) |
Anoka County, Minnesota |
397 |
5.1 |
1.3 |
(2.5–7.6) |
Dakota County, Minnesota |
571 |
4.1 |
0.9 |
(2.3–5.8) |
Hennepin County, Minnesota |
2,053 |
5.0 |
0.7 |
(3.6–6.3) |
Ramsey County, Minnesota |
918 |
6.3 |
1.5 |
(3.3–9.2) |
Washington County, Minnesota |
258 |
5.5 |
1.6 |
(2.3–8.6) |
DeSoto County, Mississippi |
370 |
7.1 |
1.5 |
(4.1–10.0) |
Hinds County, Mississippi |
340 |
14.8 |
2.4 |
(10.0–19.5) |
Jackson County, Missouri |
527 |
9.7 |
1.4 |
(6.9–12.4) |
St. Louis County, Missouri |
605 |
9.0 |
1.7 |
(5.6–12.3) |
St. Louis city, Missouri |
646 |
11.5 |
1.5 |
(8.5–14.4) |
Flathead County, Montana |
701 |
4.9 |
0.8 |
(3.3–6.4) |
Lewis and Clark County, Montana |
532 |
5.5 |
1.2 |
(3.1–7.8) |
Yellowstone County, Montana |
486 |
7.6 |
1.4 |
(4.8–10.3) |
Adams County, Nebraska |
480 |
8.8 |
1.5 |
(5.8–11.7) |
Dakota County, Nebraska |
740 |
9.4 |
1.1 |
(7.2–11.5) |
Douglas County, Nebraska |
951 |
7.9 |
1.0 |
(5.9–9.8) |
Hall County, Nebraska |
587 |
8.0 |
1.2 |
(5.6–10.3) |
Lancaster County, Nebraska |
849 |
6.0 |
0.8 |
(4.4–7.5) |
Lincoln County, Nebraska |
546 |
9.6 |
1.5 |
(6.6–12.5) |
Madison County, Nebraska |
468 |
6.1 |
1.0 |
(4.1–8.0) |
Sarpy County, Nebraska |
578 |
6.2 |
1.1 |
(4.0–8.3) |
Scotts Bluff County, Nebraska |
737 |
9.2 |
1.0 |
(7.2–11.1) |
Seward County, Nebraska |
285 |
7.7 |
1.7 |
(4.3–11.0) |
Clark County, Nevada |
1,268 |
9.0 |
0.9 |
(7.2–10.7) |
Washoe County, Nevada |
1,306 |
6.7 |
0.9 |
(4.9–8.4) |
Grafton County, New Hampshire |
517 |
8.8 |
1.6 |
(5.6–11.9) |
Hillsborough County, New Hampshire |
1,420 |
7.1 |
0.7 |
(5.7–8.4) |
Merrimack County, New Hampshire |
641 |
6.5 |
1.1 |
(4.3–8.6) |
Rockingham County, New Hampshire |
1,019 |
7.4 |
0.9 |
(5.6–9.1) |
Strafford County, New Hampshire |
588 |
8.0 |
1.2 |
(5.6–10.3) |
Atlantic County, New Jersey |
920 |
9.0 |
1.3 |
(6.4–11.5) |
Bergen County, New Jersey |
628 |
5.4 |
1.0 |
(3.4–7.3) |
Burlington County, New Jersey |
568 |
7.5 |
1.1 |
(5.3–9.6) |
Camden County, New Jersey |
605 |
9.5 |
1.3 |
(6.9–12.0) |
Cape May County, New Jersey |
521 |
11.8 |
1.5 |
(8.8–14.7) |
Essex County, New Jersey |
1,026 |
10.2 |
1.1 |
(8.0–12.3) |
Gloucester County, New Jersey |
527 |
11.2 |
1.8 |
(7.6–14.7) |
Hudson County, New Jersey |
1,099 |
8.6 |
1.0 |
(6.6–10.5) |
Hunterdon County, New Jersey |
515 |
5.7 |
1.1 |
(3.5–7.8) |
Mercer County, New Jersey |
504 |
10.0 |
1.5 |
(7.0–12.9) |
Middlesex County, New Jersey |
632 |
9.7 |
1.5 |
(6.7–12.6) |
Monmouth County, New Jersey |
563 |
7.8 |
1.3 |
(5.2–10.3) |
Morris County, New Jersey |
701 |
8.0 |
1.1 |
(5.8–10.1) |
Ocean County, New Jersey |
535 |
13.7 |
1.7 |
(10.3–17.0) |
Passaic County, New Jersey |
501 |
8.1 |
1.3 |
(5.5–10.6) |
Somerset County, New Jersey |
536 |
4.8 |
1.1 |
(2.6–6.9) |
Sussex County, New Jersey |
501 |
8.1 |
1.4 |
(5.3–10.8) |
Union County, New Jersey |
522 |
11.2 |
1.5 |
(8.2–14.1) |
Warren County, New Jersey |
481 |
8.5 |
1.3 |
(5.9–11.0) |
TABLE 57. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
1,264 |
6.8 |
0.7 |
(5.4–8.1) |
Dona Ana County, New Mexico |
503 |
12.0 |
1.5 |
(9.0–14.9) |
Sandoval County, New Mexico |
521 |
7.6 |
1.4 |
(4.8–10.3) |
San Juan County, New Mexico |
686 |
7.8 |
1.5 |
(4.8–10.7) |
Santa Fe County, New Mexico |
610 |
6.0 |
1.2 |
(3.6–8.3) |
Valencia County, New Mexico |
350 |
8.8 |
1.6 |
(5.6–11.9) |
Bronx County, New York |
436 |
8.3 |
1.3 |
(5.7–10.8) |
Erie County, New York |
479 |
8.5 |
1.3 |
(5.9–11.0) |
Kings County, New York |
911 |
11.1 |
1.4 |
(8.3–13.8) |
Monroe County, New York |
382 |
11.1 |
2.0 |
(7.1–15.0) |
Nassau County, New York |
478 |
8.2 |
1.5 |
(5.2–11.1) |
New York County, New York |
1,039 |
7.5 |
0.9 |
(5.7–9.2) |
Queens County, New York |
798 |
10.6 |
1.3 |
(8.0–13.1) |
Suffolk County, New York |
594 |
5.6 |
1.0 |
(3.6–7.5) |
Westchester County, New York |
383 |
8.2 |
1.6 |
(5.0–11.3) |
Buncombe County, North Carolina |
263 |
10.9 |
2.2 |
(6.5–15.2) |
Cabarrus County, North Carolina |
308 |
8.2 |
1.7 |
(4.8–11.5) |
Catawba County, North Carolina |
294 |
9.0 |
1.9 |
(5.2–12.7) |
Durham County, North Carolina |
621 |
7.3 |
1.2 |
(4.9–9.6) |
Gaston County, North Carolina |
267 |
11.2 |
2.0 |
(7.2–15.1) |
Guilford County, North Carolina |
695 |
10.4 |
1.4 |
(7.6–13.1) |
Johnston County, North Carolina |
276 |
14.8 |
2.3 |
(10.2–19.3) |
Mecklenburg County, North Carolina |
609 |
8.4 |
1.2 |
(6.0–10.7) |
Orange County, North Carolina |
299 |
5.6 |
1.3 |
(3.0–8.1) |
Randolph County, North Carolina |
397 |
11.2 |
1.7 |
(7.8–14.5) |
Union County, North Carolina |
349 |
6.5 |
1.2 |
(4.1–8.8) |
Wake County, North Carolina |
713 |
5.5 |
0.9 |
(3.7–7.2) |
Burleigh County, North Dakota |
560 |
5.5 |
0.8 |
(3.9–7.0) |
Cass County, North Dakota |
780 |
5.8 |
0.8 |
(4.2–7.3) |
Ward County, North Dakota |
465 |
8.1 |
1.4 |
(5.3–10.8) |
Cuyahoga County, Ohio |
719 |
10.8 |
1.3 |
(8.2–13.3) |
Franklin County, Ohio |
681 |
9.8 |
1.4 |
(7.0–12.5) |
Hamilton County, Ohio |
728 |
9.2 |
1.1 |
(7.0–11.3) |
Lucas County, Ohio |
729 |
10.2 |
1.3 |
(7.6–12.7) |
Mahoning County, Ohio |
730 |
11.7 |
1.6 |
(8.5–14.8) |
Montgomery County, Ohio |
704 |
11.0 |
1.4 |
(8.2–13.7) |
Stark County, Ohio |
716 |
8.5 |
1.0 |
(6.5–10.4) |
Summit County, Ohio |
703 |
10.2 |
1.4 |
(7.4–12.9) |
Cleveland County, Oklahoma |
434 |
6.6 |
1.3 |
(4.0–9.1) |
Oklahoma County, Oklahoma |
1,435 |
9.1 |
0.8 |
(7.5–10.6) |
Tulsa County, Oklahoma |
1,520 |
10.0 |
0.8 |
(8.4–11.5) |
Clackamas County, Oregon |
451 |
8.4 |
1.3 |
(5.8–10.9) |
Lane County, Oregon |
511 |
7.0 |
1.0 |
(5.0–8.9) |
Multnomah County, Oregon |
817 |
6.7 |
0.8 |
(5.1–8.2) |
Washington County, Oregon |
586 |
5.0 |
0.8 |
(3.4–6.5) |
Allegheny County, Pennsylvania |
1,382 |
8.6 |
0.8 |
(7.0–10.1) |
Lehigh County, Pennsylvania |
283 |
10.0 |
1.9 |
(6.2–13.7) |
Luzerne County, Pennsylvania |
312 |
9.8 |
1.7 |
(6.4–13.1) |
Montgomery County, Pennsylvania |
347 |
8.0 |
1.6 |
(4.8–11.1) |
Northampton County, Pennsylvania |
260 |
5.4 |
1.3 |
(2.8–7.9) |
Philadelphia County, Pennsylvania |
1,402 |
12.0 |
1.1 |
(9.8–14.1) |
Westmoreland County, Pennsylvania |
339 |
10.6 |
1.9 |
(6.8–14.3) |
Bristol County, Rhode Island |
278 |
3.6 |
1.0 |
(1.6–5.5) |
Kent County, Rhode Island |
940 |
9.0 |
1.1 |
(6.8–11.1) |
Newport County, Rhode Island |
488 |
7.0 |
1.1 |
(4.8–9.1) |
Providence County, Rhode Island |
4,142 |
8.6 |
0.5 |
(7.6–9.5) |
Washington County, Rhode Island |
747 |
5.9 |
0.9 |
(4.1–7.6) |
Aiken County, South Carolina |
475 |
10.3 |
1.5 |
(7.3–13.2) |
Beaufort County, South Carolina |
680 |
8.9 |
1.6 |
(5.7–12.0) |
Berkeley County, South Carolina |
358 |
15.3 |
4.1 |
(7.2–23.3) |
Charleston County, South Carolina |
669 |
9.9 |
2.0 |
(5.9–13.8) |
Greenville County, South Carolina |
496 |
8.7 |
1.5 |
(5.7–11.6) |
Horry County, South Carolina |
554 |
10.5 |
1.5 |
(7.5–13.4) |
TABLE 57. (Continued) Estimated prevalence of adults aged ≥18 years who were ever been told by a doctor that they have diabetes,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
666 |
8.8 |
1.4 |
(6.0–11.5) |
Minnehaha County, South Dakota |
605 |
5.6 |
0.9 |
(3.8–7.3) |
Pennington County, South Dakota |
667 |
6.5 |
0.9 |
(4.7–8.2) |
Davidson County, Tennessee |
418 |
11.3 |
1.9 |
(7.5–15.0) |
Hamilton County, Tennessee |
387 |
11.0 |
2.0 |
(7.0–14.9) |
Knox County, Tennessee |
370 |
8.8 |
1.6 |
(5.6–11.9) |
Shelby County, Tennessee |
394 |
13.0 |
2.2 |
(8.6–17.3) |
Sullivan County, Tennessee |
461 |
13.0 |
1.9 |
(9.2–16.7) |
Bexar County, Texas |
969 |
9.9 |
1.0 |
(7.9–11.8) |
Dallas County, Texas |
392 |
9.4 |
1.6 |
(6.2–12.5) |
El Paso County, Texas |
872 |
12.2 |
1.2 |
(9.8–14.5) |
Fort Bend County, Texas |
928 |
7.0 |
0.9 |
(5.2–8.7) |
Harris County, Texas |
1,461 |
9.2 |
0.9 |
(7.4–10.9) |
Hidalgo County, Texas |
596 |
13.8 |
1.6 |
(10.6–16.9) |
Lubbock County, Texas |
756 |
9.8 |
1.2 |
(7.4–12.1) |
Midland County, Texas |
525 |
9.8 |
1.5 |
(6.8–12.7) |
Potter County, Texas |
337 |
10.5 |
2.0 |
(6.5–14.4) |
Randall County, Texas |
461 |
8.9 |
1.6 |
(5.7–12.0) |
Smith County, Texas |
672 |
8.2 |
1.1 |
(6.0–10.3) |
Tarrant County, Texas |
604 |
10.2 |
1.8 |
(6.6–13.7) |
Travis County, Texas |
762 |
5.1 |
1.2 |
(2.7–7.4) |
Val Verde County, Texas |
559 |
13.3 |
2.0 |
(9.3–17.2) |
Webb County, Texas |
920 |
13.4 |
1.2 |
(11.0–15.7) |
Wichita County, Texas |
678 |
10.2 |
1.3 |
(7.6–12.7) |
Davis County, Utah |
879 |
6.2 |
0.9 |
(4.4–7.9) |
Salt Lake County, Utah |
3,293 |
6.6 |
0.4 |
(5.8–7.3) |
Summit County, Utah |
453 |
2.6 |
0.7 |
(1.2–3.9) |
Tooele County, Utah |
568 |
9.0 |
1.2 |
(6.6–11.3) |
Utah County, Utah |
1,114 |
4.8 |
0.6 |
(3.6–5.9) |
Weber County, Utah |
777 |
8.1 |
1.1 |
(5.9–10.2) |
Chittenden County, Vermont |
1,429 |
5.3 |
0.6 |
(4.1–6.4) |
Franklin County, Vermont |
486 |
8.5 |
1.3 |
(5.9–11.0) |
Orange County, Vermont |
358 |
8.4 |
1.4 |
(5.6–11.1) |
Rutland County, Vermont |
659 |
7.7 |
1.2 |
(5.3–10.0) |
Washington County, Vermont |
669 |
6.2 |
0.9 |
(4.4–7.9) |
Windsor County, Vermont |
682 |
7.7 |
1.1 |
(5.5–9.8) |
Benton County, Washington |
392 |
8.8 |
1.5 |
(5.8–11.7) |
Clark County, Washington |
1,094 |
8.0 |
0.8 |
(6.4–9.5) |
Franklin County, Washington |
254 |
14.4 |
3.8 |
(6.9–21.8) |
King County, Washington |
3,040 |
5.8 |
0.5 |
(4.8–6.7) |
Kitsap County, Washington |
923 |
6.7 |
0.9 |
(4.9–8.4) |
Pierce County, Washington |
1,723 |
9.3 |
0.8 |
(7.7–10.8) |
Snohomish County, Washington |
1,654 |
7.0 |
0.7 |
(5.6–8.3) |
Spokane County, Washington |
1,217 |
8.3 |
0.8 |
(6.7–9.8) |
Thurston County, Washington |
777 |
7.4 |
0.9 |
(5.6–9.1) |
Yakima County, Washington |
741 |
9.9 |
1.3 |
(7.3–12.4) |
Kanawha County, West Virginia |
490 |
9.7 |
1.3 |
(7.1–12.2) |
Milwaukee County, Wisconsin |
1,218 |
8.9 |
1.2 |
(6.5–11.2) |
Laramie County, Wyoming |
912 |
8.9 |
0.9 |
(7.1–10.6) |
Natrona County, Wyoming |
767 |
8.2 |
1.2 |
(5.8–10.5) |
Median |
8.6 |
|||
Range |
2.6-18.8 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Did not include diabetes during pregnancy in females, or prediabetes or borderline diabetes in adults. |
TABLE 59. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
947 |
22.0 |
2.5 |
(17.1–26.9) |
Grand Island, Nebraska |
859 |
17.9 |
1.5 |
(14.9–20.8) |
Grand Rapids-Wyoming, Michigan |
622 |
20.6 |
2.1 |
(16.4–24.7) |
Greensboro-High Point, North Carolina |
1,156 |
21.0 |
1.6 |
(17.8–24.1) |
Greenville, South Carolina |
773 |
22.8 |
2.6 |
(17.7–27.8) |
Hagerstown-Martinsburg, Maryland-West Virginia |
643 |
23.1 |
2.1 |
(18.9–27.2) |
Hartford-West Hartford-East Hartford, Connecticut |
2,011 |
16.5 |
1.0 |
(14.5–18.4) |
Hastings, Nebraska |
588 |
17.2 |
1.7 |
(13.8–20.5) |
Helena, Montana |
642 |
24.8 |
2.3 |
(20.2–29.3) |
Hickory-Morganton-Lenoir, North Carolina |
600 |
24.7 |
2.2 |
(20.3–29.0) |
Hilo, Hawaii |
1,477 |
21.3 |
1.4 |
(18.5–24.0) |
Hilton Head Island-Beaufort, South Carolina |
796 |
20.2 |
1.9 |
(16.4–23.9) |
Homosassa Springs, Florida |
528 |
31.9 |
2.7 |
(26.6–37.1) |
Honolulu, Hawaii |
2,953 |
15.1 |
0.9 |
(13.3–16.8) |
Houston-Sugar Land-Baytown, Texas |
2,731 |
17.9 |
1.2 |
(15.5–20.2) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
659 |
38.3 |
2.7 |
(33.0–43.5) |
Idaho Falls, Idaho |
663 |
16.9 |
1.6 |
(13.7–20.0) |
Indianapolis-Carmel, Indiana |
2,244 |
20.6 |
1.2 |
(18.2–22.9) |
Jackson, Mississippi |
759 |
21.9 |
1.8 |
(18.3–25.4) |
Jacksonville, Florida |
2,577 |
24.8 |
1.6 |
(21.6–27.9) |
Kahului-Wailuku, Hawaii |
1,455 |
15.2 |
1.2 |
(12.8–17.5) |
Kalispell, Montana |
696 |
23.1 |
2.0 |
(19.1–27.0) |
Kansas City, Missouri-Kansas |
3,372 |
20.6 |
1.1 |
(18.4–22.7) |
Kapaa, Hawaii |
643 |
18.8 |
2.0 |
(14.8–22.7) |
Kennewick-Richland-Pasco, Washington |
643 |
20.6 |
2.1 |
(16.4–24.7) |
Key West-Marathon, Florida |
506 |
27.5 |
2.7 |
(22.2–32.7) |
Kingsport-Bristol, Tennessee-Virginia |
652 |
27.3 |
2.9 |
(21.6–32.9) |
Knoxville, Tennessee |
529 |
23.0 |
2.5 |
(18.1–27.9) |
Lake City, Florida |
562 |
29.2 |
2.7 |
(23.9–34.4) |
Lakeland-Winter Haven, Florida |
520 |
29.0 |
2.7 |
(23.7–34.2) |
Laredo, Texas |
916 |
14.3 |
1.3 |
(11.7–16.8) |
Las Cruces, New Mexico |
504 |
20.6 |
2.6 |
(15.5–25.6) |
Las Vegas-Paradise, Nevada |
1,268 |
19.8 |
1.3 |
(17.2–22.3) |
Lebanon, New Hampshire-Vermont |
1,550 |
19.2 |
1.2 |
(16.8–21.5) |
Lewiston, Idaho-Washington |
603 |
29.2 |
2.4 |
(24.4–33.9) |
Lewiston-Auburn, Maine |
500 |
20.3 |
2.1 |
(16.1–24.4) |
Lincoln, Nebraska |
1,130 |
17.7 |
1.6 |
(14.5–20.8) |
Little Rock-North Little Rock, Arkansas |
815 |
19.5 |
1.9 |
(15.7–23.2) |
Los Angeles-Long Beach-Glendale, California* |
2,613 |
16.0 |
0.9 |
(14.2–17.7) |
Louisville, Kentucky-Indiana |
903 |
21.0 |
1.6 |
(17.8–24.1) |
Lubbock, Texas |
773 |
19.7 |
1.8 |
(16.1–23.2) |
Manchester-Nashua, New Hampshire |
1,416 |
20.1 |
1.3 |
(17.5–22.6) |
McAllen-Edinburg-Mission, Texas |
594 |
18.8 |
1.9 |
(15.0–22.5) |
Memphis, Tennessee-Mississippi-Arkansas |
1,152 |
20.3 |
1.9 |
(16.5–24.0) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,023 |
19.5 |
1.7 |
(16.1–22.8) |
Midland, Texas |
521 |
21.7 |
2.4 |
(16.9–26.4) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,528 |
19.0 |
1.6 |
(15.8–22.1) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
4,846 |
15.5 |
0.9 |
(13.7–17.2) |
Minot, North Dakota |
556 |
16.2 |
1.7 |
(12.8–19.5) |
Mobile, Alabama |
679 |
27.8 |
2.4 |
(23.0–32.5) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
551 |
23.7 |
2.7 |
(18.4–28.9) |
Naples-Marco Island, Florida |
519 |
18.3 |
2.4 |
(13.5–23.0) |
Nashville-Davidson-Murfreesboro, Tennessee |
829 |
16.7 |
1.6 |
(13.5–19.8) |
Nassau-Suffolk, New York* |
1,065 |
20.8 |
1.6 |
(17.6–23.9) |
Newark-Union, New Jersey-Pennsylvania* |
3,307 |
16.2 |
0.9 |
(14.4–17.9) |
New Haven-Milford, Connecticut |
1,668 |
17.9 |
1.3 |
(15.3–20.4) |
New Orleans-Metairie-Kenner, Louisiana |
1,530 |
22.6 |
1.4 |
(19.8–25.3) |
New York-White Plains-Wayne, New York-New Jersey* |
6,164 |
16.0 |
0.6 |
(14.8–17.1) |
Norfolk, Nebraska |
675 |
17.4 |
1.8 |
(13.8–20.9) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
574 1,130 |
20.9 21.1 |
2.2 1.5 |
(16.5–25.2) (18.1–24.0) |
Ocala, Florida |
583 |
30.4 |
2.6 |
(25.3–35.4) |
Ocean City, New Jersey |
518 |
18.3 |
1.9 |
(14.5–22.0) |
TABLE 59. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
1,689 |
19.2 |
1.4 |
(16.4–21.9) |
Oklahoma City, Oklahoma |
2,469 |
26.2 |
1.1 |
(24.0–28.3) |
Olympia, Washington |
775 |
31.3 |
2.2 |
(26.9–35.6) |
Omaha-Council Bluffs, Nebraska-Iowa |
2,349 |
18.5 |
1.1 |
(16.3–20.6) |
Orlando-Kissimmee, Florida |
2,654 |
21.6 |
1.1 |
(19.4–23.7) |
Palm Bay-Melbourne-Titusville, Florida |
524 |
28.5 |
2.6 |
(23.4–33.5) |
Panama City-Lynn Haven, Florida Peabody, Massachusetts |
540 2,128 |
24.7 19.4 |
2.8 1.6 |
(19.2–30.1) (16.2–22.5) |
Pensacola-Ferry Pass-Brent, Florida |
1,012 |
26.1 |
1.9 |
(22.3–29.8) |
Philadelphia, Pennsylvania* |
2,347 |
21.6 |
1.2 |
(19.2–23.9) |
Phoenix-Mesa-Scottsdale, Arizona |
1,682 |
18.3 |
1.2 |
(15.9–20.6) |
Pittsburgh, Pennsylvania |
2,410 |
21.5 |
1.1 |
(19.3–23.6) |
Portland-South Portland-Biddeford, Maine |
2,621 |
20.4 |
1.0 |
(18.4–22.3) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,383 |
23.2 |
1.1 |
(21.0–25.3) |
Port St. Lucie-Fort Pierce, Florida |
1,019 |
29.9 |
2.1 |
(25.7–34.0) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
9,486 |
19.4 |
0.7 |
(18.0–20.7) |
Provo-Orem, Utah |
1,172 |
19.5 |
1.7 |
(16.1–22.8) |
Raleigh-Cary, North Carolina |
1,025 |
16.6 |
1.4 |
(13.8–19.3) |
Rapid City, South Dakota |
845 |
23.4 |
1.7 |
(20.0–26.7) |
Reno-Sparks, Nevada |
1,322 |
22.2 |
1.5 |
(19.2–25.1) |
Richmond, Virginia |
801 |
20.4 |
2.2 |
(16.0–24.7) |
Riverside-San Bernardino-Ontario, California |
1,875 |
17.7 |
1.1 |
(15.5–19.8) |
Rochester, New York |
561 |
22.5 |
2.2 |
(18.1–26.8) |
Rockingham County-Strafford County, New Hampshire* |
1,602 |
19.0 |
1.2 |
(16.6–21.3) |
Rutland, Vermont |
657 |
24.8 |
2.1 |
(20.6–28.9) |
Sacramento-Arden-Arcade-Roseville, California |
1,292 |
18.7 |
1.3 |
(16.1–21.2) |
St. Louis, Missouri-Illinois |
1,742 |
22.1 |
1.6 |
(18.9–25.2) |
Salt Lake City, Utah |
4,296 |
19.4 |
0.8 |
(17.8–20.9) |
San Antonio, Texas |
1,124 |
17.7 |
1.4 |
(14.9–20.4) |
San Diego-Carlsbad-San Marcos, California |
1,694 |
17.5 |
1.1 |
(15.3–19.6) |
San Francisco-Oakland-Fremont, California |
2,356 |
19.0 |
1.0 |
(17.0–20.9) |
San Jose-Sunnyvale-Santa Clara, California |
911 |
16.8 |
1.5 |
(13.8–19.7) |
Santa Ana-Anaheim-Irvine, California* |
1,446 |
14.4 |
1.2 |
(12.0–16.7) |
Santa Fe, New Mexico |
610 |
22.2 |
2.3 |
(17.6–26.7) |
Scottsbluff, Nebraska |
756 |
18.3 |
1.8 |
(14.7–21.8) |
Scranton-Wilkes-Barre, Pennsylvania |
553 |
26.3 |
2.4 |
(21.5–31.0) |
Seaford, Delaware |
1,236 |
20.6 |
1.4 |
(17.8–23.3) |
Seattle-Bellevue-Everett, Washington* |
4,668 |
22.3 |
0.8 |
(20.7–23.8) |
Sebring, Florida |
520 |
28.9 |
2.9 |
(23.2–34.5) |
Shreveport-Bossier City, Louisiana |
682 |
22.8 |
2.3 |
(18.2–27.3) |
Sioux City, Iowa-Nebraska-South Dakota |
1,220 |
18.9 |
2.2 |
(14.5–23.2) |
Sioux Falls, South Dakota |
837 |
17.4 |
1.5 |
(14.4–20.3) |
Spokane, Washington |
1,213 |
30.6 |
1.9 |
(26.8–34.3) |
Springfield, Massachusetts |
2,039 |
20.9 |
1.9 |
(17.1–24.6) |
Tacoma, Washington* |
1,714 |
27.2 |
1.4 |
(24.4–29.9) |
Tallahassee, Florida |
2,034 |
21.7 |
2.1 |
(17.5–25.8) |
Tampa-St. Petersburg-Clearwater, Florida |
2,027 |
26.1 |
1.5 |
(23.1–29.0) |
Toledo, Ohio |
862 |
22.5 |
1.9 |
(18.7–26.2) |
Topeka, Kansas |
834 |
23.3 |
1.8 |
(19.7–26.8) |
Trenton-Ewing, New Jersey |
502 |
15.9 |
2.1 |
(11.7–20.0) |
Tucson, Arizona |
696 |
27.5 |
2.6 |
(22.4–32.5) |
Tulsa, Oklahoma |
2,137 |
25.1 |
1.2 |
(22.7–27.4) |
Tuscaloosa, Alabama |
515 |
25.7 |
3.0 |
(19.8–31.5) |
Twin Falls, Idaho |
538 |
20.8 |
2.1 |
(16.6–24.9) |
Tyler, Texas |
672 |
19.9 |
2.1 |
(15.7–24.0) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,100 |
20.5 |
2.0 |
(16.5–24.4) |
Warren-Troy-Farmington Hills, Michigan* |
1,797 |
21.1 |
1.7 |
(17.7–24.4) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia* |
6,421 |
16.1 |
1.1 |
(13.9–18.2) |
Wauchula, Florida |
526 |
20.3 |
2.9 |
(14.6–25.9) |
West Palm Beach-Boca Raton-Boynton Beach, Florida* |
551 |
19.5 |
2.2 |
(15.1–23.8) |
Wichita, Kansas |
1,848 |
21.3 |
1.2 |
(18.9–23.6) |
Wichita Falls, Texas |
827 |
25.0 |
2.2 |
(20.6–29.3) |
Wilmington, Delaware-Maryland-New Jersey* |
2,212 |
21.8 |
1.1 |
(19.6–23.9) |
TABLE 59. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
2,092 |
19.7 |
1.5 |
(16.7–22.6) |
Yakima, Washington |
734 |
23.3 |
1.9 |
(19.5–27.0) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,059 |
20.1 |
2.1 |
(15.9–24.2) |
Median |
20.6 |
|||
Range |
13.5-38.3 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Metropolitan division. |
TABLE 60. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
506 |
27.5 |
2.7 |
(22.2–32.7) |
Nassau County, Florida |
519 |
22.7 |
3.0 |
(16.8–28.5) |
Orange County, Florida |
999 |
22.2 |
1.8 |
(18.6–25.7) |
Osceola County, Florida |
563 |
18.5 |
2.1 |
(14.3–22.6) |
Palm Beach County, Florida |
551 |
19.5 |
2.2 |
(15.1–23.8) |
Pasco County, Florida |
541 |
30.8 |
2.8 |
(25.3–36.2) |
Pinellas County, Florida |
497 |
25.7 |
2.5 |
(20.8–30.6) |
Polk County, Florida |
520 |
29.0 |
2.7 |
(23.7–34.2) |
St. Johns County, Florida |
521 |
22.8 |
2.4 |
(18.0–27.5) |
St. Lucie County, Florida |
503 |
31.0 |
2.6 |
(25.9–36.0) |
Santa Rosa County, Florida |
494 |
23.8 |
2.5 |
(18.9–28.7) |
Sarasota County, Florida |
606 |
21.1 |
2.2 |
(16.7–25.4) |
Seminole County, Florida |
488 |
21.5 |
2.4 |
(16.7–26.2) |
Volusia County, Florida |
860 |
31.5 |
2.5 |
(26.6–36.4) |
Wakulla County, Florida |
534 |
28.7 |
3.2 |
(22.4–34.9) |
Cobb County, Georgia |
254 |
16.4 |
2.6 |
(11.3–21.4) |
DeKalb County, Georgia |
342 |
17.6 |
2.4 |
(12.8–22.3) |
Fulton County, Georgia |
329 |
12.0 |
1.9 |
(8.2–15.7) |
Gwinnett County, Georgia |
251 |
14.0 |
2.7 |
(8.7–19.2) |
Hawaii County, Hawaii |
1,477 |
21.3 |
1.4 |
(18.5–24.0) |
Honolulu County, Hawaii |
2,953 |
15.1 |
0.9 |
(13.3–16.8) |
Kauai County, Hawaii |
643 |
18.8 |
2.0 |
(14.8–22.7) |
Maui County, Hawaii |
1,455 |
15.2 |
1.2 |
(12.8–17.5) |
Ada County, Idaho |
860 |
22.0 |
1.8 |
(18.4–25.5) |
Bonneville County, Idaho |
520 |
16.7 |
1.8 |
(13.1–20.2) |
Canyon County, Idaho |
613 |
25.2 |
2.2 |
(20.8–29.5) |
Kootenai County, Idaho |
567 |
26.3 |
2.6 |
(21.2–31.3) |
Nez Perce County, Idaho |
382 |
29.5 |
2.9 |
(23.8–35.1) |
Twin Falls County, Idaho |
432 |
21.8 |
2.3 |
(17.2–26.3) |
Cook County, Illinois |
2,878 |
17.9 |
0.9 |
(16.1–19.6) |
DuPage County, Illinois |
256 |
14.0 |
2.3 |
(9.4–18.5) |
Allen County, Indiana |
585 |
21.2 |
2.0 |
(17.2–25.1) |
Lake County, Indiana |
994 |
23.8 |
2.4 |
(19.0–28.5) |
Marion County, Indiana |
1,457 |
22.7 |
1.6 |
(19.5–25.8) |
Linn County, Iowa |
492 |
18.6 |
2.3 |
(14.0–23.1) |
Polk County, Iowa |
764 |
17.7 |
1.7 |
(14.3–21.0) |
Johnson County, Kansas |
1,411 |
14.8 |
1.1 |
(12.6–16.9) |
Sedgwick County, Kansas |
1,433 |
22.3 |
1.3 |
(19.7–24.8) |
Shawnee County, Kansas |
622 |
21.8 |
2.0 |
(17.8–25.7) |
Wyandotte County, Kansas |
608 |
21.0 |
2.0 |
(17.0–24.9) |
Jefferson County, Kentucky |
410 |
20.7 |
2.2 |
(16.3–25.0) |
Caddo Parish, Louisiana |
446 |
21.1 |
2.5 |
(16.2–26.0) |
East Baton Rouge Parish, Louisiana |
718 |
17.7 |
1.8 |
(14.1–21.2) |
Jefferson Parish, Louisiana |
592 |
23.6 |
2.1 |
(19.4–27.7) |
Orleans Parish, Louisiana |
375 |
23.4 |
2.7 |
(18.1–28.6) |
St. Tammany Parish, Louisiana |
371 |
22.6 |
2.8 |
(17.1–28.0) |
Androscoggin County, Maine |
500 |
20.3 |
2.1 |
(16.1–24.4) |
Cumberland County, Maine |
1,383 |
20.2 |
1.4 |
(17.4–22.9) |
Kennebec County, Maine |
651 |
23.1 |
2.2 |
(18.7–27.4) |
Penobscot County, Maine |
688 |
25.9 |
2.0 |
(21.9–29.8) |
Sagadahoc County, Maine |
299 |
23.2 |
3.0 |
(17.3–29.0) |
York County, Maine |
939 |
20.0 |
1.5 |
(17.0–22.9) |
Anne Arundel County, Maryland |
601 |
14.3 |
1.6 |
(11.1–17.4) |
Baltimore County, Maryland |
1,049 |
21.3 |
1.5 |
(18.3–24.2) |
Cecil County, Maryland |
270 |
23.1 |
3.2 |
(16.8–29.3) |
Charles County, Maryland |
348 |
16.4 |
2.2 |
(12.0–20.7) |
Frederick County, Maryland |
575 |
16.2 |
1.8 |
(12.6–19.7) |
Harford County, Maryland |
279 |
19.5 |
2.9 |
(13.8–25.1) |
Howard County, Maryland |
340 |
19.0 |
2.6 |
(13.9–24.0) |
Montgomery County, Maryland |
1,059 |
13.9 |
1.2 |
(11.5–16.2) |
Prince George´s County, Maryland |
796 |
17.1 |
1.6 |
(13.9–20.2) |
Queen Anne´s County, Maryland |
293 |
15.2 |
2.3 |
(10.6–19.7) |
Washington County, Maryland |
407 |
22.9 |
2.7 |
(17.6–28.1) |
TABLE 60. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
532 |
26.4 |
2.6 |
(21.3–31.4) |
Bristol County, Massachusetts |
2,912 |
20.0 |
1.6 |
(16.8–23.1) |
Essex County, Massachusetts |
2,128 |
19.6 |
1.7 |
(16.2–22.9) |
Hampden County, Massachusetts |
1,585 |
21.0 |
1.7 |
(17.6–24.3) |
Hampshire County, Massachusetts |
273 |
15.9 |
3.2 |
(9.6–22.1) |
Middlesex County, Massachusetts |
3,012 |
17.2 |
1.2 |
(14.8–19.5) |
Norfolk County, Massachusetts |
860 |
14.4 |
1.5 |
(11.4–17.3) |
Plymouth County, Massachusetts |
685 |
19.2 |
2.3 |
(14.6–23.7) |
Suffolk County, Massachusetts |
1,757 |
14.8 |
1.2 |
(12.4–17.1) |
Worcester County, Massachusetts |
2,092 |
19.7 |
1.5 |
(16.7–22.6) |
Kent County, Michigan |
445 |
19.7 |
2.3 |
(15.1–24.2) |
Macomb County, Michigan |
516 |
21.7 |
2.5 |
(16.8–26.6) |
Oakland County, Michigan |
934 |
17.9 |
1.5 |
(14.9–20.8) |
Wayne County, Michigan |
1,908 |
25.0 |
1.5 |
(22.0–27.9) |
Anoka County, Minnesota |
397 |
20.0 |
2.7 |
(14.7–25.2) |
Dakota County, Minnesota |
570 |
13.8 |
1.9 |
(10.0–17.5) |
Hennepin County, Minnesota |
2,041 |
14.4 |
1.3 |
(11.8–16.9) |
Ramsey County, Minnesota |
914 |
20.3 |
2.9 |
(14.6–25.9) |
Washington County, Minnesota |
257 |
12.7 |
2.7 |
(7.4–17.9) |
DeSoto County, Mississippi |
369 |
24.0 |
3.0 |
(18.1–29.8) |
Hinds County, Mississippi |
339 |
24.2 |
3.3 |
(17.7–30.6) |
Jackson County, Missouri |
524 |
23.0 |
2.2 |
(18.6–27.3) |
St. Louis County, Missouri |
601 |
21.2 |
2.8 |
(15.7–26.6) |
St. Louis city, Missouri |
643 |
20.4 |
2.1 |
(16.2–24.5) |
Flathead County, Montana |
696 |
23.1 |
2.0 |
(19.1–27.0) |
Lewis and Clark County, Montana |
533 |
25.5 |
2.3 |
(20.9–30.0) |
Yellowstone County, Montana |
483 |
25.3 |
2.8 |
(19.8–30.7) |
Adams County, Nebraska |
479 |
17.1 |
1.9 |
(13.3–20.8) |
Dakota County, Nebraska |
741 |
17.5 |
1.7 |
(14.1–20.8) |
Douglas County, Nebraska |
944 |
18.7 |
1.6 |
(15.5–21.8) |
Hall County, Nebraska |
585 |
17.2 |
1.8 |
(13.6–20.7) |
Lancaster County, Nebraska |
846 |
17.5 |
1.7 |
(14.1–20.8) |
Lincoln County, Nebraska |
542 |
21.5 |
2.3 |
(16.9–26.0) |
Madison County, Nebraska |
468 |
17.4 |
2.2 |
(13.0–21.7) |
Sarpy County, Nebraska |
579 |
19.7 |
2.5 |
(14.8–24.6) |
Scotts Bluff County, Nebraska |
733 |
18.1 |
1.8 |
(14.5–21.6) |
Seward County, Nebraska |
284 |
20.8 |
2.9 |
(15.1–26.4) |
Clark County, Nevada |
1,268 |
19.8 |
1.3 |
(17.2–22.3) |
Washoe County, Nevada |
1,302 |
22.0 |
1.5 |
(19.0–24.9) |
Grafton County, New Hampshire |
514 |
17.9 |
2.1 |
(13.7–22.0) |
Hillsborough County, New Hampshire |
1,416 |
20.1 |
1.3 |
(17.5–22.6) |
Merrimack County, New Hampshire |
636 |
17.2 |
2.0 |
(13.2–21.1) |
Rockingham County, New Hampshire |
1,015 |
18.6 |
1.4 |
(15.8–21.3) |
Strafford County, New Hampshire |
587 |
20.5 |
2.0 |
(16.5–24.4) |
Atlantic County, New Jersey |
916 |
18.1 |
1.7 |
(14.7–21.4) |
Bergen County, New Jersey |
625 |
13.7 |
1.6 |
(10.5–16.8) |
Burlington County, New Jersey |
567 |
19.2 |
1.9 |
(15.4–22.9) |
Camden County, New Jersey |
603 |
21.1 |
2.1 |
(16.9–25.2) |
Cape May County, New Jersey |
518 |
18.3 |
1.9 |
(14.5–22.0) |
Essex County, New Jersey |
1,021 |
16.1 |
1.4 |
(13.3–18.8) |
Gloucester County, New Jersey |
526 |
18.9 |
2.2 |
(14.5–23.2) |
Hudson County, New Jersey |
1,096 |
16.5 |
1.4 |
(13.7–19.2) |
Hunterdon County, New Jersey |
512 |
13.6 |
1.7 |
(10.2–16.9) |
Mercer County, New Jersey |
502 |
15.9 |
2.1 |
(11.7–20.0) |
Middlesex County, New Jersey |
631 |
17.4 |
1.9 |
(13.6–21.1) |
Monmouth County, New Jersey |
564 |
15.2 |
1.9 |
(11.4–18.9) |
Morris County, New Jersey |
698 |
14.1 |
1.6 |
(10.9–17.2) |
Ocean County, New Jersey |
536 |
23.7 |
2.4 |
(18.9–28.4) |
Passaic County, New Jersey |
500 |
15.5 |
1.9 |
(11.7–19.2) |
Somerset County, New Jersey |
536 |
14.5 |
1.8 |
(10.9–18.0) |
Sussex County, New Jersey |
497 |
16.0 |
1.9 |
(12.2–19.7) |
Union County, New Jersey |
520 |
18.5 |
2.1 |
(14.3–22.6) |
Warren County, New Jersey |
477 |
16.8 |
2.0 |
(12.8–20.7) |
TABLE 60. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
1,258 |
22.6 |
1.6 |
(19.4–25.7) |
Dona Ana County, New Mexico |
504 |
20.6 |
2.6 |
(15.5–25.6) |
Sandoval County, New Mexico |
520 |
21.7 |
2.6 |
(16.6–26.7) |
San Juan County, New Mexico |
685 |
22.9 |
2.5 |
(18.0–27.8) |
Santa Fe County, New Mexico |
610 |
22.2 |
2.3 |
(17.6–26.7) |
Valencia County, New Mexico |
348 |
25.0 |
3.0 |
(19.1–30.8) |
Bronx County, New York |
435 |
18.6 |
2.3 |
(14.0–23.1) |
Erie County, New York |
478 |
25.1 |
2.6 |
(20.0–30.1) |
Kings County, New York |
898 |
15.6 |
1.4 |
(12.8–18.3) |
Monroe County, New York |
379 |
22.7 |
2.5 |
(17.8–27.6) |
Nassau County, New York |
475 |
17.0 |
2.0 |
(13.0–20.9) |
New York County, New York |
1,035 |
16.0 |
1.5 |
(13.0–18.9) |
Queens County, New York |
791 |
15.2 |
1.5 |
(12.2–18.1) |
Suffolk County, New York |
590 |
24.4 |
2.5 |
(19.5–29.3) |
Westchester County, New York |
384 |
18.3 |
2.3 |
(13.7–22.8) |
Buncombe County, North Carolina |
260 |
28.6 |
3.7 |
(21.3–35.8) |
Cabarrus County, North Carolina |
308 |
18.5 |
2.9 |
(12.8–24.1) |
Catawba County, North Carolina |
293 |
23.8 |
3.4 |
(17.1–30.4) |
Durham County, North Carolina |
621 |
14.1 |
1.6 |
(10.9–17.2) |
Gaston County, North Carolina |
266 |
26.5 |
3.8 |
(19.0–33.9) |
Guilford County, North Carolina |
693 |
18.0 |
1.6 |
(14.8–21.1) |
Johnston County, North Carolina |
276 |
21.5 |
2.9 |
(15.8–27.1) |
Mecklenburg County, North Carolina |
607 |
12.5 |
1.4 |
(9.7–15.2) |
Orange County, North Carolina |
299 |
16.7 |
2.4 |
(11.9–21.4) |
Randolph County, North Carolina |
394 |
24.2 |
2.8 |
(18.7–29.6) |
Union County, North Carolina |
348 |
19.6 |
2.5 |
(14.7–24.5) |
Wake County, North Carolina |
710 |
15.4 |
1.7 |
(12.0–18.7) |
Burleigh County, North Dakota |
557 |
18.9 |
2.2 |
(14.5–23.2) |
Cass County, North Dakota |
776 |
11.7 |
1.3 |
(9.1–14.2) |
Ward County, North Dakota |
465 |
15.5 |
1.8 |
(11.9–19.0) |
Cuyahoga County, Ohio |
719 |
18.8 |
1.8 |
(15.2–22.3) |
Franklin County, Ohio |
680 |
23.8 |
2.2 |
(19.4–28.1) |
Hamilton County, Ohio |
723 |
18.5 |
2.1 |
(14.3–22.6) |
Lucas County, Ohio |
728 |
26.1 |
2.1 |
(21.9–30.2) |
Mahoning County, Ohio |
727 |
24.0 |
2.3 |
(19.4–28.5) |
Montgomery County, Ohio |
697 |
22.6 |
2.2 |
(18.2–26.9) |
Stark County, Ohio |
712 |
22.9 |
2.2 |
(18.5–27.2) |
Summit County, Ohio |
703 |
23.5 |
2.1 |
(19.3–27.6) |
Cleveland County, Oklahoma |
434 |
20.7 |
2.3 |
(16.1–25.2) |
Oklahoma County, Oklahoma |
1,434 |
26.7 |
1.5 |
(23.7–29.6) |
Tulsa County, Oklahoma |
1,519 |
24.4 |
1.4 |
(21.6–27.1) |
Clackamas County, Oregon |
450 |
22.4 |
2.5 |
(17.5–27.3) |
Lane County, Oregon |
508 |
32.0 |
2.9 |
(26.3–37.6) |
Multnomah County, Oregon |
811 |
23.0 |
1.8 |
(19.4–26.5) |
Washington County, Oregon |
581 |
24.4 |
2.4 |
(19.6–29.1) |
Allegheny County, Pennsylvania |
1,376 |
21.2 |
1.4 |
(18.4–23.9) |
Lehigh County, Pennsylvania |
279 |
18.2 |
2.4 |
(13.4–22.9) |
Luzerne County, Pennsylvania |
312 |
25.1 |
3.1 |
(19.0–31.1) |
Montgomery County, Pennsylvania |
342 |
22.2 |
2.9 |
(16.5–27.8) |
Northampton County, Pennsylvania |
259 |
16.8 |
2.5 |
(11.9–21.7) |
Philadelphia County, Pennsylvania |
1,394 |
27.0 |
1.6 |
(23.8–30.1) |
Westmoreland County, Pennsylvania |
335 |
23.1 |
2.7 |
(17.8–28.3) |
Bristol County, Rhode Island |
277 |
14.8 |
2.5 |
(9.9–19.7) |
Kent County, Rhode Island |
936 |
19.6 |
1.5 |
(16.6–22.5) |
Newport County, Rhode Island |
488 |
19.7 |
2.6 |
(14.6–24.7) |
Providence County, Rhode Island |
4,130 |
19.7 |
0.9 |
(17.9–21.4) |
Washington County, Rhode Island |
743 |
18.0 |
1.8 |
(14.4–21.5) |
Aiken County, South Carolina |
473 |
23.1 |
2.2 |
(18.7–27.4) |
Beaufort County, South Carolina |
675 |
20.6 |
2.0 |
(16.6–24.5) |
Berkeley County, South Carolina |
355 |
23.0 |
4.3 |
(14.5–31.4) |
Charleston County, South Carolina |
665 |
17.5 |
2.3 |
(12.9–22.0) |
Greenville County, South Carolina |
490 |
21.9 |
2.8 |
(16.4–27.3) |
Horry County, South Carolina |
551 |
23.7 |
2.7 |
(18.4–28.9) |
TABLE 60. (Continued) Estimated prevalence of adults aged ≥18 years who reported limited activities due to physical, mental or emotional problems, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
658 |
25.8 |
2.9 |
(20.1–31.4) |
Minnehaha County, South Dakota |
603 |
17.7 |
1.7 |
(14.3–21.0) |
Pennington County, South Dakota |
664 |
24.3 |
2.0 |
(20.3–28.2) |
Davidson County, Tennessee |
418 |
16.4 |
2.0 |
(12.4–20.3) |
Hamilton County, Tennessee |
384 |
22.0 |
2.8 |
(16.5–27.4) |
Knox County, Tennessee |
369 |
22.8 |
3.1 |
(16.7–28.8) |
Shelby County, Tennessee |
392 |
18.7 |
2.7 |
(13.4–23.9) |
Sullivan County, Tennessee |
459 |
28.9 |
2.9 |
(23.2–34.5) |
Bexar County, Texas |
965 |
18.0 |
1.5 |
(15.0–20.9) |
Dallas County, Texas |
388 |
19.4 |
2.4 |
(14.6–24.1) |
El Paso County, Texas |
865 |
16.1 |
1.6 |
(12.9–19.2) |
Fort Bend County, Texas |
926 |
12.6 |
1.2 |
(10.2–14.9) |
Harris County, Texas |
1,451 |
18.1 |
1.4 |
(15.3–20.8) |
Hidalgo County, Texas |
594 |
18.8 |
1.9 |
(15.0–22.5) |
Lubbock County, Texas |
750 |
20.1 |
1.8 |
(16.5–23.6) |
Midland County, Texas |
521 |
21.7 |
2.4 |
(16.9–26.4) |
Potter County, Texas |
336 |
22.2 |
2.8 |
(16.7–27.6) |
Randall County, Texas |
459 |
19.1 |
2.4 |
(14.3–23.8) |
Smith County, Texas |
672 |
19.9 |
2.1 |
(15.7–24.0) |
Tarrant County, Texas |
600 |
20.8 |
2.4 |
(16.0–25.5) |
Travis County, Texas |
761 |
15.1 |
2.9 |
(9.4–20.7) |
Val Verde County, Texas |
558 |
17.4 |
2.5 |
(12.5–22.3) |
Webb County, Texas |
916 |
14.3 |
1.3 |
(11.7–16.8) |
Wichita County, Texas |
677 |
25.2 |
2.5 |
(20.3–30.1) |
Davis County, Utah |
873 |
19.1 |
1.9 |
(15.3–22.8) |
Salt Lake County, Utah |
3,279 |
19.7 |
0.9 |
(17.9–21.4) |
Summit County, Utah |
453 |
14.2 |
1.9 |
(10.4–17.9) |
Tooele County, Utah |
564 |
17.4 |
2.0 |
(13.4–21.3) |
Utah County, Utah |
1,109 |
19.3 |
1.7 |
(15.9–22.6) |
Weber County, Utah |
772 |
19.7 |
1.8 |
(16.1–23.2) |
Chittenden County, Vermont |
1,425 |
19.5 |
1.4 |
(16.7–22.2) |
Franklin County, Vermont |
480 |
24.3 |
2.2 |
(19.9–28.6) |
Orange County, Vermont |
354 |
21.2 |
2.4 |
(16.4–25.9) |
Rutland County, Vermont |
657 |
24.8 |
2.1 |
(20.6–28.9) |
Washington County, Vermont |
660 |
20.5 |
2.0 |
(16.5–24.4) |
Windsor County, Vermont |
682 |
20.3 |
1.7 |
(16.9–23.6) |
Benton County, Washington |
390 |
23.0 |
2.5 |
(18.1–27.9) |
Clark County, Washington |
1,091 |
22.9 |
1.7 |
(19.5–26.2) |
Franklin County, Washington |
253 |
19.4 |
4.0 |
(11.5–27.2) |
King County, Washington |
3,028 |
21.4 |
0.9 |
(19.6–23.1) |
Kitsap County, Washington |
917 |
28.8 |
1.9 |
(25.0–32.5) |
Pierce County, Washington |
1,714 |
27.4 |
1.4 |
(24.6–30.1) |
Snohomish County, Washington |
1,640 |
25.2 |
1.3 |
(22.6–27.7) |
Spokane County, Washington |
1,213 |
30.6 |
1.9 |
(26.8–34.3) |
Thurston County, Washington |
775 |
31.3 |
2.2 |
(26.9–35.6) |
Yakima County, Washington |
734 |
23.3 |
1.9 |
(19.5–27.0) |
Kanawha County, West Virginia |
487 |
24.3 |
2.4 |
(19.5–29.0) |
Milwaukee County, Wisconsin |
1,215 |
21.7 |
2.2 |
(17.3–26.0) |
Laramie County, Wyoming |
911 |
24.3 |
1.8 |
(20.7–27.8) |
Natrona County, Wyoming |
766 |
20.6 |
1.8 |
(17.0–24.1) |
Median |
20.3 |
|||
Range |
11.7-32.0 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 62. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
954 |
6.3 |
1.1 |
(4.1–8.4) |
Grand Island, Nebraska |
861 |
8.4 |
1.1 |
(6.2–10.5) |
Grand Rapids-Wyoming, Michigan |
623 |
6.0 |
1.0 |
(4.0–7.9) |
Greensboro-High Point, North Carolina |
1,162 |
7.9 |
0.9 |
(6.1–9.6) |
Greenville, South Carolina |
781 |
10.1 |
1.5 |
(7.1–13.0) |
Hagerstown-Martinsburg, Maryland-West Virginia |
645 |
8.4 |
1.2 |
(6.0–10.7) |
Hartford-West Hartford-East Hartford, Connecticut |
2,021 |
6.5 |
0.6 |
(5.3–7.6) |
Hastings, Nebraska |
588 |
6.1 |
1.1 |
(3.9–8.2) |
Helena, Montana |
640 |
7.8 |
1.4 |
(5.0–10.5) |
Hickory-Morganton-Lenoir, North Carolina |
601 |
8.8 |
1.3 |
(6.2–11.3) |
Hilo, Hawaii |
1,479 |
7.0 |
0.8 |
(5.4–8.5) |
Hilton Head Island-Beaufort, South Carolina |
800 |
5.6 |
0.9 |
(3.8–7.3) |
Homosassa Springs, Florida |
534 |
15.5 |
1.9 |
(11.7–19.2) |
Honolulu, Hawaii |
2,960 |
5.7 |
0.5 |
(4.7–6.6) |
Houston-Sugar Land-Baytown, Texas |
2,740 |
6.1 |
0.6 |
(4.9–7.2) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
659 |
13.0 |
1.6 |
(9.8–16.1) |
Idaho Falls, Idaho |
667 |
6.3 |
1.0 |
(4.3–8.2) |
Indianapolis-Carmel, Indiana |
2,255 |
7.1 |
0.7 |
(5.7–8.4) |
Jackson, Mississippi |
761 |
10.3 |
1.3 |
(7.7–12.8) |
Jacksonville, Florida |
2,592 |
10.3 |
1.0 |
(8.3–12.2) |
Kahului-Wailuku, Hawaii |
1,465 |
5.8 |
0.8 |
(4.2–7.3) |
Kalispell, Montana |
701 |
5.6 |
0.8 |
(4.0–7.1) |
Kansas City, Missouri-Kansas |
3,382 |
7.5 |
0.6 |
(6.3–8.6) |
Kapaa, Hawaii |
645 |
5.3 |
0.9 |
(3.5–7.0) |
Kennewick-Richland-Pasco, Washington |
647 |
4.9 |
0.8 |
(3.3–6.4) |
Key West-Marathon, Florida |
504 |
6.6 |
1.3 |
(4.0–9.1) |
Kingsport-Bristol, Tennessee-Virginia |
655 |
11.7 |
1.8 |
(8.1–15.2) |
Knoxville, Tennessee |
529 |
10.5 |
1.7 |
(7.1–13.8) |
Lake City, Florida |
566 |
10.9 |
1.5 |
(7.9–13.8) |
Lakeland-Winter Haven, Florida |
519 |
9.4 |
1.4 |
(6.6–12.1) |
Laredo, Texas |
924 |
7.4 |
0.8 |
(5.8–8.9) |
Las Cruces, New Mexico |
504 |
8.5 |
1.3 |
(5.9–11.0) |
Las Vegas-Paradise, Nevada |
1,270 |
6.6 |
0.7 |
(5.2–7.9) |
Lebanon, New Hampshire-Vermont |
1,556 |
6.4 |
0.6 |
(5.2–7.5) |
Lewiston, Idaho-Washington |
601 |
8.7 |
1.2 |
(6.3–11.0) |
Lewiston-Auburn, Maine |
502 |
6.5 |
1.1 |
(4.3–8.6) |
Lincoln, Nebraska |
1,134 |
5.2 |
0.8 |
(3.6–6.7) |
Little Rock-North Little Rock, Arkansas |
823 |
6.5 |
0.9 |
(4.7–8.2) |
Los Angeles-Long Beach-Glendale, California† |
2,617 |
6.0 |
0.5 |
(5.0–6.9) |
Louisville, Kentucky-Indiana |
909 |
9.5 |
1.2 |
(7.1–11.8) |
Lubbock, Texas |
780 |
9.9 |
1.8 |
(6.3–13.4) |
Manchester-Nashua, New Hampshire |
1,422 |
5.6 |
0.6 |
(4.4–6.7) |
McAllen-Edinburg-Mission, Texas |
598 |
6.8 |
1.0 |
(4.8–8.7) |
Memphis, Tennessee-Mississippi-Arkansas |
1,152 |
8.0 |
1.0 |
(6.0–9.9) |
Miami-Fort Lauderdale-Miami Beach, Florida |
1,030 |
5.5 |
0.7 |
(4.1–6.8) |
Midland, Texas |
524 |
6.1 |
1.0 |
(4.1–8.0) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,533 |
6.6 |
0.8 |
(5.0–8.1) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
4,863 |
5.1 |
0.5 |
(4.1–6.0) |
Minot, North Dakota |
555 |
4.6 |
0.9 |
(2.8–6.3) |
Mobile, Alabama |
681 |
8.7 |
1.2 |
(6.3–11.0) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
555 |
9.7 |
1.6 |
(6.5–12.8) |
Naples-Marco Island, Florida |
522 |
7.1 |
1.3 |
(4.5–9.6) |
Nashville-Davidson-Murfreesboro, Tennessee |
830 |
7.7 |
1.4 |
(4.9–10.4) |
Nassau-Suffolk, New York† |
1,070 |
6.5 |
0.9 |
(4.7–8.2) |
Newark-Union, New Jersey-Pennsylvania† |
3,326 |
6.4 |
0.5 |
(5.4–7.3) |
New Haven-Milford, Connecticut |
1,676 |
6.6 |
0.7 |
(5.2–7.9) |
New Orleans-Metairie-Kenner, Louisiana |
1,537 |
8.8 |
0.9 |
(7.0–10.5) |
New York-White Plains-Wayne, New York-New Jersey† |
6,202 |
6.9 |
0.4 |
(6.1–7.6) |
Norfolk, Nebraska |
677 |
7.9 |
1.5 |
(4.9–10.8) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
578 1,133 |
6.8 8.7 |
1.1 0.8 |
(4.6–8.9) (7.1 – 10.2) |
Ocala, Florida |
589 |
14.9 |
2.0 |
(10.9–18.8) |
Ocean City, New Jersey |
521 |
7.4 |
1.1 |
(5.2–9.5) |
TABLE 62. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
1,702 |
6.3 |
1.2 |
(3.9–8.6) |
Oklahoma City, Oklahoma |
2,476 |
9.7 |
0.6 |
(8.5–10.8) |
Olympia, Washington |
777 |
9.9 |
1.4 |
(7.1–12.6) |
Omaha-Council Bluffs, Nebraska-Iowa |
2,358 |
6.4 |
0.7 |
(5.0–7.7) |
Orlando-Kissimmee, Florida |
2,676 |
8.3 |
0.7 |
(6.9–9.6) |
Palm Bay-Melbourne-Titusville, Florida |
528 |
10.7 |
1.5 |
(7.7–13.6) |
Panama City-Lynn Haven, Florida |
546 |
11.2 |
2.3 |
(6.6–15.7) |
Peabody, Massachusetts |
2,132 |
6.7 |
0.9 |
(4.9 – 8.4) |
Pensacola-Ferry Pass-Brent, Florida |
1,017 |
9.3 |
1.1 |
(7.1–11.4) |
Philadelphia, Pennsylvania† |
2,367 |
8.9 |
0.8 |
(7.3–10.4) |
Phoenix-Mesa-Scottsdale, Arizona |
1,688 |
5.7 |
0.6 |
(4.5–6.8) |
Pittsburgh, Pennsylvania |
2,420 |
7.6 |
0.6 |
(6.4–8.7) |
Portland-South Portland-Biddeford, Maine |
2,630 |
6.1 |
0.5 |
(5.1–7.0) |
Portland-Vancouver-Beaverton, Oregon-Washington |
3,399 |
7.3 |
0.6 |
(6.1–8.4) |
Port St. Lucie-Fort Pierce, Florida |
1,022 |
10.5 |
1.2 |
(8.1–12.8) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
9,527 |
7.1 |
0.3 |
(6.5–7.6) |
Provo-Orem, Utah |
1,176 |
4.9 |
0.8 |
(3.3–6.4) |
Raleigh-Cary, North Carolina |
1,027 |
6.3 |
0.8 |
(4.7–7.8) |
Rapid City, South Dakota |
849 |
7.7 |
1.0 |
(5.7–9.6) |
Reno-Sparks, Nevada |
1,325 |
8.5 |
0.9 |
(6.7–10.2) |
Richmond, Virginia |
803 |
7.2 |
1.1 |
(5.0–9.3) |
Riverside-San Bernardino-Ontario, California |
1,878 |
6.5 |
0.6 |
(5.3–7.6) |
Rochester, New York |
570 |
8.0 |
1.2 |
(5.6–10.3) |
Rockingham County-Strafford County, New Hampshire† |
1,608 |
6.7 |
0.8 |
(5.1–8.2) |
Rutland, Vermont |
658 |
6.3 |
0.9 |
(4.5–8.0) |
Sacramento-Arden-Arcade-Roseville, California |
1,294 |
7.0 |
0.8 |
(5.4–8.5) |
St. Louis, Missouri-Illinois |
1,751 |
9.2 |
1.1 |
(7.0–11.3) |
Salt Lake City, Utah |
4,309 |
5.3 |
0.4 |
(4.5–6.0) |
San Antonio, Texas |
1,130 |
9.0 |
1.1 |
(6.8–11.1) |
San Diego-Carlsbad-San Marcos, California |
1,695 |
6.1 |
0.7 |
(4.7–7.4) |
San Francisco-Oakland-Fremont, California |
2,359 |
7.4 |
0.6 |
(6.2–8.5) |
San Jose-Sunnyvale-Santa Clara, California |
913 |
7.2 |
0.9 |
(5.4–8.9) |
Santa Ana-Anaheim-Irvine, California† |
1,446 |
6.3 |
0.8 |
(4.7–7.8) |
Santa Fe, New Mexico |
609 |
8.6 |
1.5 |
(5.6–11.5) |
Scottsbluff, Nebraska |
760 |
6.9 |
1.0 |
(4.9–8.8) |
Scranton-Wilkes-Barre, Pennsylvania |
555 |
8.6 |
1.2 |
(6.2–10.9) |
Seaford, Delaware |
1,240 |
9.0 |
0.9 |
(7.2–10.7) |
Seattle-Bellevue-Everett, Washington† |
4,688 |
7.0 |
0.5 |
(6.0–7.9) |
Sebring, Florida |
522 |
11.3 |
1.8 |
(7.7–14.8) |
Shreveport-Bossier City, Louisiana |
683 |
8.1 |
1.1 |
(5.9–10.2) |
Sioux City, Iowa-Nebraska-South Dakota |
1,221 |
6.1 |
1.1 |
(3.9–8.2) |
Sioux Falls, South Dakota |
837 |
5.4 |
0.7 |
(4.0–6.7) |
Spokane, Washington |
1,217 |
8.4 |
1.0 |
(6.4–10.3) |
Springfield, Massachusetts |
2,052 |
7.8 |
1.2 |
(5.4–10.1) |
Tacoma, Washington† |
1,725 |
8.6 |
0.8 |
(7.0–10.1) |
Tallahassee, Florida |
2,045 |
8.4 |
1.1 |
(6.2–10.5) |
Tampa-St. Petersburg-Clearwater, Florida |
2,034 |
11.0 |
1.1 |
(8.8–13.1) |
Toledo, Ohio |
864 |
10.0 |
1.3 |
(7.4–12.5) |
Topeka, Kansas |
836 |
8.9 |
1.0 |
(6.9–10.8) |
Trenton-Ewing, New Jersey |
504 |
4.7 |
1.0 |
(2.7–6.6) |
Tucson, Arizona |
698 |
9.1 |
1.2 |
(6.7–11.4) |
Tulsa, Oklahoma |
2,144 |
9.2 |
0.7 |
(7.8–10.5) |
Tuscaloosa, Alabama |
518 |
12.0 |
2.1 |
(7.8–16.1) |
Twin Falls, Idaho |
540 |
8.8 |
1.5 |
(5.8–11.7) |
Tyler, Texas |
673 |
8.5 |
1.0 |
(6.5–10.4) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
1,104 |
8.8 |
1.1 |
(6.6–10.9) |
Warren-Troy-Farmington Hills, Michigan† |
1,800 |
6.6 |
0.6 |
(5.4–7.7) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia† |
6,443 |
6.2 |
0.6 |
(5.0–7.3) |
Wauchula, Florida |
529 |
6.0 |
1.0 |
(4.0–7.9) |
West Palm Beach-Boca Raton-Boynton Beach, Florida† |
553 |
7.7 |
1.3 |
(5.1–10.2) |
Wichita, Kansas |
1,853 |
8.3 |
0.7 |
(6.9–9.6) |
Wichita Falls, Texas |
829 |
7.8 |
0.9 |
(6.0–9.5) |
Wilmington, Delaware-Maryland-New Jersey† |
2,217 |
7.6 |
0.6 |
(6.4–8.7) |
TABLE 62. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
2,099 |
8.0 |
0.9 |
(6.2–9.7) |
Yakima, Washington |
740 |
8.2 |
1.2 |
(5.8–10.5) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
1,063 |
7.0 |
1.2 |
(4.6–9.3) |
Median |
7.5 |
|||
Range |
4.5-15.5 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Includes use of a cane, wheelchair, special bed, or special telephone occasionally or in certain circumstances. † Metropolitan division. |
TABLE 63. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
504 |
6.6 |
1.3 |
(4.0–9.1) |
Nassau County, Florida |
522 |
7.1 |
1.3 |
(4.5–9.6) |
Orange County, Florida |
1,008 |
8.4 |
1.1 |
(6.2–10.5) |
Osceola County, Florida |
569 |
6.2 |
1.2 |
(3.8–8.5) |
Palm Beach County, Florida |
553 |
7.7 |
1.3 |
(5.1–10.2) |
Pasco County, Florida |
541 |
11.8 |
1.8 |
(8.2–15.3) |
Pinellas County, Florida |
497 |
9.6 |
1.4 |
(6.8–12.3) |
Polk County, Florida |
519 |
9.4 |
1.4 |
(6.6–12.1) |
St. Johns County, Florida |
522 |
7.8 |
1.3 |
(5.2–10.3) |
St. Lucie County, Florida |
504 |
10.8 |
1.5 |
(7.8–13.7) |
Santa Rosa County, Florida |
496 |
10.5 |
1.6 |
(7.3–13.6) |
Sarasota County, Florida |
608 |
8.6 |
1.1 |
(6.4–10.7) |
Seminole County, Florida |
492 |
7.5 |
1.3 |
(4.9–10.0) |
Volusia County, Florida |
861 |
10.8 |
1.2 |
(8.4–13.1) |
Wakulla County, Florida |
536 |
12.0 |
2.3 |
(7.4–16.5) |
Cobb County, Georgia |
254 |
6.0 |
1.6 |
(2.8–9.1) |
DeKalb County, Georgia |
341 |
6.1 |
1.4 |
(3.3–8.8) |
Fulton County, Georgia |
330 |
8.0 |
2.2 |
(3.6–12.3) |
Gwinnett County, Georgia |
250 |
5.5 |
1.6 |
(2.3–8.6) |
Hawaii County, Hawaii |
1,479 |
7.0 |
0.8 |
(5.4–8.5) |
Honolulu County, Hawaii |
2,960 |
5.7 |
0.5 |
(4.7–6.6) |
Kauai County, Hawaii |
645 |
5.3 |
0.9 |
(3.5–7.0) |
Maui County, Hawaii |
1,465 |
5.8 |
0.8 |
(4.2–7.3) |
Ada County, Idaho |
865 |
7.3 |
1.0 |
(5.3–9.2) |
Bonneville County, Idaho |
523 |
6.8 |
1.1 |
(4.6–8.9) |
Canyon County, Idaho |
619 |
7.0 |
1.1 |
(4.8–9.1) |
Kootenai County, Idaho |
569 |
6.1 |
1.0 |
(4.1–8.0) |
Nez Perce County, Idaho |
381 |
7.6 |
1.4 |
(4.8–10.3) |
Twin Falls County, Idaho |
434 |
8.2 |
1.6 |
(5.0–11.3) |
Cook County, Illinois |
2,886 |
6.5 |
0.5 |
(5.5–7.4) |
DuPage County, Illinois |
256 |
3.0 |
1.0 |
(1.0–4.9) |
Allen County, Indiana |
586 |
7.9 |
1.3 |
(5.3–10.4) |
Lake County, Indiana |
1,003 |
11.1 |
1.7 |
(7.7–14.4) |
Marion County, Indiana |
1,464 |
8.5 |
1.1 |
(6.3–10.6) |
Linn County, Iowa |
495 |
7.8 |
1.6 |
(4.6–10.9) |
Polk County, Iowa |
767 |
6.6 |
0.9 |
(4.8–8.3) |
Johnson County, Kansas |
1,416 |
5.4 |
0.7 |
(4.0–6.7) |
Sedgwick County, Kansas |
1,437 |
9.4 |
0.9 |
(7.6–11.1) |
Shawnee County, Kansas |
624 |
7.8 |
1.0 |
(5.8–9.7) |
Wyandotte County, Kansas |
608 |
9.4 |
1.3 |
(6.8–11.9) |
Jefferson County, Kentucky |
410 |
10.1 |
1.7 |
(6.7–13.4) |
Caddo Parish, Louisiana |
447 |
9.1 |
1.4 |
(6.3–11.8) |
East Baton Rouge Parish, Louisiana |
722 |
6.3 |
1.0 |
(4.3–8.2) |
Jefferson Parish, Louisiana |
595 |
7.0 |
1.1 |
(4.8–9.1) |
Orleans Parish, Louisiana |
377 |
10.2 |
2.2 |
(5.8–14.5) |
St. Tammany Parish, Louisiana |
372 |
10.2 |
1.9 |
(6.4–13.9) |
Androscoggin County, Maine |
502 |
6.5 |
1.1 |
(4.3–8.6) |
Cumberland County, Maine |
1,390 |
5.6 |
0.8 |
(4.0–7.1) |
Kennebec County, Maine |
651 |
6.4 |
1.0 |
(4.4–8.3) |
Penobscot County, Maine |
692 |
9.0 |
1.1 |
(6.8–11.1) |
Sagadahoc County, Maine |
299 |
8.9 |
2.0 |
(4.9–12.8) |
York County, Maine |
941 |
6.2 |
0.8 |
(4.6–7.7) |
Anne Arundel County, Maryland |
602 |
5.6 |
1.1 |
(3.4–7.7) |
Baltimore County, Maryland |
1,054 |
8.9 |
1.0 |
(6.9–10.8) |
Cecil County, Maryland |
270 |
5.2 |
1.2 |
(2.8–7.5) |
Charles County, Maryland |
349 |
5.8 |
1.2 |
(3.4–8.1) |
Frederick County, Maryland |
577 |
5.3 |
1.1 |
(3.1–7.4) |
Harford County, Maryland |
280 |
7.7 |
1.8 |
(4.1–11.2) |
Howard County, Maryland |
342 |
8.7 |
2.0 |
(4.7–12.6) |
Montgomery County, Maryland |
1,063 |
5.0 |
0.7 |
(3.6–6.3) |
Prince George´s County, Maryland |
796 |
5.9 |
0.8 |
(4.3–7.4) |
Queen Anne´s County, Maryland |
295 |
3.3 |
1.0 |
(1.3–5.2) |
Washington County, Maryland |
408 |
9.5 |
1.6 |
(6.3–12.6) |
TABLE 63. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
534 |
10.5 |
1.6 |
(7.3–13.6) |
Bristol County, Massachusetts |
2,930 |
6.5 |
0.7 |
(5.1–7.8) |
Essex County, Massachusetts |
2,132 |
6.6 |
0.9 |
(4.8–8.3) |
Hampden County, Massachusetts |
1,593 |
8.3 |
1.2 |
(5.9–10.6) |
Hampshire County, Massachusetts |
275 |
4.9 |
1.1 |
(2.7–7.0) |
Middlesex County, Massachusetts |
3,024 |
5.9 |
0.5 |
(4.9–6.8) |
Norfolk County, Massachusetts |
859 |
6.4 |
0.9 |
(4.6–8.1) |
Plymouth County, Massachusetts |
687 |
7.7 |
1.2 |
(5.3–10.0) |
Suffolk County, Massachusetts |
1,756 |
7.3 |
1.1 |
(5.1–9.4) |
Worcester County, Massachusetts |
2,099 |
8.0 |
0.9 |
(6.2–9.7) |
Kent County, Michigan |
446 |
6.0 |
1.1 |
(3.8–8.1) |
Macomb County, Michigan |
516 |
8.5 |
1.4 |
(5.7–11.2) |
Oakland County, Michigan |
936 |
5.9 |
0.8 |
(4.3–7.4) |
Wayne County, Michigan |
1,914 |
10.0 |
0.8 |
(8.4–11.5) |
Anoka County, Minnesota |
397 |
7.1 |
1.7 |
(3.7–10.4) |
Dakota County, Minnesota |
569 |
3.7 |
0.9 |
(1.9–5.4) |
Hennepin County, Minnesota |
2,053 |
4.2 |
0.5 |
(3.2–5.1) |
Ramsey County, Minnesota |
919 |
7.9 |
1.9 |
(4.1–11.6) |
Washington County, Minnesota |
258 |
6.2 |
2.2 |
(1.8–10.5) |
DeSoto County, Mississippi |
370 |
7.3 |
1.6 |
(4.1–10.4) |
Hinds County, Mississippi |
340 |
13.9 |
2.9 |
(8.2–19.5) |
Jackson County, Missouri |
526 |
9.2 |
1.3 |
(6.6–11.7) |
St. Louis County, Missouri |
605 |
11.5 |
2.5 |
(6.6–16.4) |
St. Louis city, Missouri |
648 |
9.8 |
1.3 |
(7.2–12.3) |
Flathead County, Montana |
701 |
5.6 |
0.8 |
(4.0–7.1) |
Lewis and Clark County, Montana |
532 |
8.1 |
1.2 |
(5.7–10.4) |
Yellowstone County, Montana |
486 |
6.5 |
1.0 |
(4.5–8.4) |
Adams County, Nebraska |
479 |
6.2 |
1.1 |
(4.0–8.3) |
Dakota County, Nebraska |
741 |
7.1 |
1.2 |
(4.7–9.4) |
Douglas County, Nebraska |
950 |
7.0 |
1.1 |
(4.8–9.1) |
Hall County, Nebraska |
586 |
8.7 |
1.4 |
(5.9–11.4) |
Lancaster County, Nebraska |
849 |
5.0 |
0.8 |
(3.4–6.5) |
Lincoln County, Nebraska |
546 |
7.1 |
1.2 |
(4.7–9.4) |
Madison County, Nebraska |
469 |
8.5 |
1.9 |
(4.7–12.2) |
Sarpy County, Nebraska |
579 |
4.9 |
1.0 |
(2.9–6.8) |
Scotts Bluff County, Nebraska |
737 |
7.0 |
1.0 |
(5.0–8.9) |
Seward County, Nebraska |
285 |
8.9 |
1.7 |
(5.5–12.2) |
Clark County, Nevada |
1,270 |
6.6 |
0.7 |
(5.2–7.9) |
Washoe County, Nevada |
1,305 |
8.3 |
0.9 |
(6.5–10.0) |
Grafton County, New Hampshire |
517 |
6.4 |
1.0 |
(4.4–8.3) |
Hillsborough County, New Hampshire |
1,422 |
5.6 |
0.6 |
(4.4–6.7) |
Merrimack County, New Hampshire |
641 |
7.0 |
1.2 |
(4.6–9.3) |
Rockingham County, New Hampshire |
1,020 |
6.7 |
1.0 |
(4.7–8.6) |
Strafford County, New Hampshire |
588 |
6.5 |
1.0 |
(4.5–8.4) |
Atlantic County, New Jersey |
921 |
7.6 |
1.2 |
(5.2–9.9) |
Bergen County, New Jersey |
627 |
4.3 |
0.8 |
(2.7–5.8) |
Burlington County, New Jersey |
568 |
8.0 |
1.2 |
(5.6–10.3) |
Camden County, New Jersey |
603 |
8.5 |
1.2 |
(6.1–10.8) |
Cape May County, New Jersey |
521 |
7.4 |
1.1 |
(5.2–9.5) |
Essex County, New Jersey |
1,025 |
7.4 |
1.0 |
(5.4–9.3) |
Gloucester County, New Jersey |
527 |
6.0 |
1.0 |
(4.0–7.9) |
Hudson County, New Jersey |
1,101 |
7.4 |
0.9 |
(5.6–9.1) |
Hunterdon County, New Jersey |
515 |
2.7 |
0.6 |
(1.5–3.8) |
Mercer County, New Jersey |
504 |
4.7 |
1.0 |
(2.7–6.6) |
Middlesex County, New Jersey |
632 |
5.6 |
1.1 |
(3.4–7.7) |
Monmouth County, New Jersey |
564 |
6.3 |
1.1 |
(4.1–8.4) |
Morris County, New Jersey |
702 |
4.8 |
0.8 |
(3.2–6.3) |
Ocean County, New Jersey |
536 |
8.1 |
1.3 |
(5.5–10.6) |
Passaic County, New Jersey |
503 |
4.5 |
1.0 |
(2.5–6.4) |
Somerset County, New Jersey |
536 |
4.9 |
1.0 |
(2.9–6.8) |
Sussex County, New Jersey |
502 |
5.8 |
1.3 |
(3.2–8.3) |
Union County, New Jersey |
522 |
8.5 |
1.6 |
(5.3–11.6) |
Warren County, New Jersey |
481 |
8.4 |
1.3 |
(5.8–10.9) |
TABLE 63. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
1,264 |
9.6 |
0.9 |
(7.8–11.3) |
Dona Ana County, New Mexico |
504 |
8.5 |
1.3 |
(5.9–11.0) |
Sandoval County, New Mexico |
520 |
7.9 |
1.3 |
(5.3–10.4) |
San Juan County, New Mexico |
686 |
5.3 |
0.9 |
(3.5–7.0) |
Santa Fe County, New Mexico |
609 |
8.6 |
1.5 |
(5.6–11.5) |
Valencia County, New Mexico |
350 |
9.4 |
1.8 |
(5.8–12.9) |
Bronx County, New York |
436 |
9.1 |
1.4 |
(6.3–11.8) |
Erie County, New York |
479 |
9.1 |
1.5 |
(6.1–12.0) |
Kings County, New York |
912 |
9.4 |
1.1 |
(7.2–11.5) |
Monroe County, New York |
384 |
9.1 |
1.7 |
(5.7–12.4) |
Nassau County, New York |
477 |
5.7 |
1.1 |
(3.5–7.8) |
New York County, New York |
1,040 |
7.0 |
0.8 |
(5.4–8.5) |
Queens County, New York |
797 |
6.5 |
0.8 |
(4.9–8.0) |
Suffolk County, New York |
593 |
6.8 |
1.3 |
(4.2–9.3) |
Westchester County, New York |
384 |
5.9 |
1.2 |
(3.5–8.2) |
Buncombe County, North Carolina |
263 |
8.8 |
1.5 |
(5.8–11.7) |
Cabarrus County, North Carolina |
308 |
6.0 |
1.8 |
(2.4–9.5) |
Catawba County, North Carolina |
294 |
7.0 |
1.8 |
(3.4–10.5) |
Durham County, North Carolina |
621 |
7.0 |
1.2 |
(4.6–9.3) |
Gaston County, North Carolina |
267 |
11.2 |
2.4 |
(6.4–15.9) |
Guilford County, North Carolina |
695 |
6.7 |
1.0 |
(4.7–8.6) |
Johnston County, North Carolina |
275 |
10.6 |
2.0 |
(6.6–14.5) |
Mecklenburg County, North Carolina |
608 |
6.0 |
0.9 |
(4.2–7.7) |
Orange County, North Carolina |
298 |
7.5 |
1.6 |
(4.3–10.6) |
Randolph County, North Carolina |
398 |
9.6 |
1.7 |
(6.2–12.9) |
Union County, North Carolina |
349 |
7.1 |
1.4 |
(4.3–9.8) |
Wake County, North Carolina |
713 |
5.8 |
0.9 |
(4.0–7.5) |
Burleigh County, North Dakota |
560 |
5.5 |
0.9 |
(3.7–7.2) |
Cass County, North Dakota |
780 |
3.6 |
0.6 |
(2.4–4.7) |
Ward County, North Dakota |
464 |
5.0 |
1.0 |
(3.0–6.9) |
Cuyahoga County, Ohio |
722 |
8.0 |
1.1 |
(5.8–10.1) |
Franklin County, Ohio |
680 |
8.7 |
1.1 |
(6.5–10.8) |
Hamilton County, Ohio |
728 |
7.7 |
1.1 |
(5.5–9.8) |
Lucas County, Ohio |
730 |
11.6 |
1.6 |
(8.4–14.7) |
Mahoning County, Ohio |
731 |
8.4 |
1.2 |
(6.0–10.7) |
Montgomery County, Ohio |
705 |
8.5 |
1.2 |
(6.1–10.8) |
Stark County, Ohio |
716 |
7.3 |
0.9 |
(5.5–9.0) |
Summit County, Ohio |
703 |
9.5 |
1.2 |
(7.1–11.8) |
Cleveland County, Oklahoma |
434 |
8.0 |
1.3 |
(5.4–10.5) |
Oklahoma County, Oklahoma |
1,440 |
10.2 |
0.9 |
(8.4–11.9) |
Tulsa County, Oklahoma |
1,523 |
9.4 |
0.8 |
(7.8–10.9) |
Clackamas County, Oregon |
450 |
5.6 |
1.1 |
(3.4–7.7) |
Lane County, Oregon |
512 |
11.9 |
2.2 |
(7.5–16.2) |
Multnomah County, Oregon |
815 |
8.5 |
1.3 |
(5.9–11.0) |
Washington County, Oregon |
586 |
6.2 |
1.1 |
(4.0–8.3) |
Allegheny County, Pennsylvania |
1,382 |
7.9 |
0.8 |
(6.3–9.4) |
Lehigh County, Pennsylvania |
283 |
6.3 |
1.3 |
(3.7–8.8) |
Luzerne County, Pennsylvania |
313 |
10.6 |
2.2 |
(6.2–14.9) |
Montgomery County, Pennsylvania |
347 |
10.3 |
2.1 |
(6.1–14.4) |
Northampton County, Pennsylvania |
259 |
4.9 |
1.1 |
(2.7–7.0) |
Philadelphia County, Pennsylvania |
1,403 |
13.2 |
1.3 |
(10.6–15.7) |
Westmoreland County, Pennsylvania |
337 |
6.8 |
1.3 |
(4.2–9.3) |
Bristol County, Rhode Island |
278 |
5.1 |
1.1 |
(2.9–7.2) |
Kent County, Rhode Island |
939 |
8.3 |
0.9 |
(6.5–10.0) |
Newport County, Rhode Island |
488 |
6.9 |
1.1 |
(4.7–9.0) |
Providence County, Rhode Island |
4,145 |
7.7 |
0.4 |
(6.9–8.4) |
Washington County, Rhode Island |
747 |
6.2 |
1.2 |
(3.8–8.5) |
Aiken County, South Carolina |
474 |
8.0 |
1.4 |
(5.2–10.7) |
Beaufort County, South Carolina |
681 |
5.6 |
1.0 |
(3.6–7.5) |
Berkeley County, South Carolina |
358 |
8.9 |
2.7 |
(3.6–14.1) |
Charleston County, South Carolina |
670 |
8.0 |
1.3 |
(5.4–10.5) |
Greenville County, South Carolina |
495 |
9.8 |
1.9 |
(6.0–13.5) |
Horry County, South Carolina |
555 |
9.7 |
1.6 |
(6.5–12.8) |
TABLE 63. (Continued) Estimated prevalence of adults aged ≥18 years who required to use special equipment* due to any health problem, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
666 |
11.5 |
1.9 |
(7.7–15.2) |
Minnehaha County, South Dakota |
604 |
6.4 |
0.9 |
(4.6–8.1) |
Pennington County, South Dakota |
668 |
7.4 |
1.1 |
(5.2–9.5) |
Davidson County, Tennessee |
418 |
6.5 |
1.1 |
(4.3–8.6) |
Hamilton County, Tennessee |
385 |
9.8 |
2.1 |
(5.6–13.9) |
Knox County, Tennessee |
370 |
13.1 |
2.5 |
(8.2–18.0) |
Shelby County, Tennessee |
392 |
7.1 |
1.3 |
(4.5–9.6) |
Sullivan County, Tennessee |
461 |
12.8 |
2.1 |
(8.6–16.9) |
Bexar County, Texas |
971 |
10.1 |
1.3 |
(7.5–12.6) |
Dallas County, Texas |
391 |
7.1 |
1.4 |
(4.3–9.8) |
El Paso County, Texas |
872 |
6.6 |
0.9 |
(4.8–8.3) |
Fort Bend County, Texas |
929 |
5.1 |
0.7 |
(3.7–6.4) |
Harris County, Texas |
1,456 |
6.6 |
0.8 |
(5.0–8.1) |
Hidalgo County, Texas |
598 |
6.8 |
1.0 |
(4.8–8.7) |
Lubbock County, Texas |
756 |
10.4 |
2.0 |
(6.4–14.3) |
Midland County, Texas |
524 |
6.1 |
1.0 |
(4.1–8.0) |
Potter County, Texas |
337 |
9.9 |
1.8 |
(6.3–13.4) |
Randall County, Texas |
460 |
4.6 |
0.9 |
(2.8–6.3) |
Smith County, Texas |
673 |
8.5 |
1.0 |
(6.5–10.4) |
Tarrant County, Texas |
603 |
7.3 |
1.4 |
(4.5–10.0) |
Travis County, Texas |
762 |
4.2 |
0.9 |
(2.4–5.9) |
Val Verde County, Texas |
559 |
7.6 |
1.4 |
(4.8–10.3) |
Webb County, Texas |
924 |
7.4 |
0.8 |
(5.8–8.9) |
Wichita County, Texas |
678 |
8.1 |
1.0 |
(6.1–10.0) |
Davis County, Utah |
880 |
6.7 |
1.7 |
(3.3–10.0) |
Salt Lake County, Utah |
3,287 |
5.5 |
0.4 |
(4.7–6.2) |
Summit County, Utah |
453 |
1.3 |
0.5 |
(0.3–2.2) |
Tooele County, Utah |
569 |
5.4 |
1.0 |
(3.4–7.3) |
Utah County, Utah |
1,113 |
4.8 |
0.8 |
(3.2–6.3) |
Weber County, Utah |
777 |
5.6 |
0.8 |
(4.0–7.1) |
Chittenden County, Vermont |
1,429 |
4.0 |
0.5 |
(3.0–4.9) |
Franklin County, Vermont |
486 |
8.2 |
1.2 |
(5.8–10.5) |
Orange County, Vermont |
358 |
6.1 |
1.2 |
(3.7–8.4) |
Rutland County, Vermont |
658 |
6.3 |
0.9 |
(4.5–8.0) |
Washington County, Vermont |
670 |
7.5 |
1.1 |
(5.3–9.6) |
Windsor County, Vermont |
681 |
6.5 |
0.9 |
(4.7–8.2) |
Benton County, Washington |
392 |
5.8 |
1.1 |
(3.6–7.9) |
Clark County, Washington |
1,093 |
8.2 |
1.0 |
(6.2–10.1) |
Franklin County, Washington |
255 |
4.0 |
1.0 |
(2.0–5.9) |
King County, Washington |
3,037 |
6.9 |
0.6 |
(5.7–8.0) |
Kitsap County, Washington |
921 |
7.9 |
1.1 |
(5.7–10.0) |
Pierce County, Washington |
1,725 |
8.6 |
0.8 |
(7.0–10.1) |
Snohomish County, Washington |
1,651 |
7.6 |
0.7 |
(6.2–8.9) |
Spokane County, Washington |
1,217 |
8.4 |
1.0 |
(6.4–10.3) |
Thurston County, Washington |
777 |
9.9 |
1.4 |
(7.1–12.6) |
Yakima County, Washington |
740 |
8.2 |
1.2 |
(5.8–10.5) |
Kanawha County, West Virginia |
490 |
10.4 |
1.8 |
(6.8–13.9) |
Milwaukee County, Wisconsin |
1,219 |
8.8 |
1.4 |
(6.0–11.5) |
Laramie County, Wyoming |
914 |
9.3 |
1.0 |
(7.3–11.2) |
Natrona County, Wyoming |
768 |
8.6 |
1.0 |
(6.6–10.5) |
Median |
7.4 |
|||
Range |
1.3-15.5 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Includes use of a cane, wheelchair, special bed, or special telephone occasionally or in certain circumstances. |
TABLE 65. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
743 |
10.1 |
1.6 |
(6.9–13.3) |
Grand Island, Nebraska |
680 |
12.6 |
1.4 |
(9.8–15.4) |
Grand Rapids-Wyoming, Michigan |
468 |
7.2 |
1.2 |
(4.8–9.6) |
Greensboro-High Point, North Carolina |
909 |
13.9 |
1.7 |
(10.6–17.2) |
Greenville, South Carolina |
610 |
8.7 |
1.4 |
(6.0–11.4) |
Hagerstown-Martinsburg, Maryland-West Virginia |
479 |
10.8 |
1.6 |
(7.8–13.8) |
Hartford-West Hartford-East Hartford, Connecticut |
1,553 |
8.6 |
0.8 |
(7.0–10.2) |
Hastings, Nebraska |
465 |
11.7 |
1.6 |
(8.6–14.8) |
Helena, Montana |
517 |
10.1 |
1.4 |
(7.4–12.8) |
Hickory-Morganton-Lenoir, North Carolina |
452 |
13.6 |
2.2 |
(9.3–17.9) |
Hilo, Hawaii |
1,114 |
8.5 |
0.9 |
(6.6–10.4) |
Hilton Head Island-Beaufort, South Carolina |
667 |
10.0 |
1.2 |
(7.6–12.4) |
Homosassa Springs, Florida |
467 |
19.6 |
2.3 |
(15.2–24.0) |
Honolulu, Hawaii |
2,202 |
6.5 |
0.6 |
(5.3–7.7) |
Houston-Sugar Land-Baytown, Texas |
1,936 |
10.0 |
0.9 |
(8.3–11.7) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
502 |
16.8 |
2.1 |
(12.7–20.9) |
Idaho Falls, Idaho |
469 |
8.2 |
1.4 |
(5.4–11.0) |
Indianapolis-Carmel, Indiana |
1,669 |
10.8 |
1.0 |
(8.8–12.8) |
Jackson, Mississippi |
567 |
11.2 |
1.5 |
(8.2–14.2) |
Jacksonville, Florida |
1,971 |
10.8 |
1.1 |
(8.7–12.9) |
Kahului-Wailuku, Hawaii |
1,116 |
8.5 |
1.1 |
(6.3–10.7) |
Kalispell, Montana |
533 |
9.1 |
1.3 |
(6.5–11.7) |
Kansas City, Missouri-Kansas |
2,528 |
11.0 |
0.8 |
(9.4–12.6) |
Kapaa, Hawaii |
515 |
8.7 |
1.4 |
(5.9–11.5) |
Kennewick-Richland-Pasco, Washington |
457 |
10.1 |
1.4 |
(7.3–12.9) |
Key West-Marathon, Florida |
437 |
11.5 |
1.7 |
(8.1–14.9) |
Kingsport-Bristol, Tennessee-Virginia |
548 |
16.6 |
2.9 |
(10.9–22.3) |
Knoxville, Tennessee |
420 |
15.4 |
2.6 |
(10.3–20.5) |
Lake City, Florida |
418 |
19.3 |
2.6 |
(14.2–24.4) |
Lakeland-Winter Haven, Florida |
423 |
16.2 |
2.2 |
(11.9–20.5) |
Laredo, Texas |
532 |
10.2 |
1.4 |
(7.4–13.0) |
Las Cruces, New Mexico |
398 |
10.7 |
1.6 |
(7.5–13.9) |
Las Vegas-Paradise, Nevada |
903 |
11.8 |
1.2 |
(9.4–14.2) |
Lebanon, New Hampshire-Vermont |
1,245 |
8.3 |
0.9 |
(6.6–10.0) |
Lewiston, Idaho-Washington |
493 |
10.0 |
1.5 |
(7.1–12.9) |
Lewiston-Auburn, Maine |
367 |
14.8 |
2.2 |
(10.5–19.1) |
Lincoln, Nebraska |
870 |
10.0 |
1.2 |
(7.7–12.3) |
Little Rock-North Little Rock, Arkansas |
665 |
12.5 |
1.5 |
(9.5–15.5) |
Los Angeles-Long Beach-Glendale, California† |
1,734 |
9.7 |
0.9 |
(8.0–11.4) |
Louisville, Kentucky-Indiana |
701 |
11.6 |
1.4 |
(8.9–14.3) |
Lubbock, Texas |
597 |
12.7 |
1.5 |
(9.8–15.6) |
Manchester-Nashua, New Hampshire |
1,070 |
9.4 |
1.0 |
(7.5–11.3) |
McAllen-Edinburg-Mission, Texas |
376 |
11.3 |
1.8 |
(7.7–14.9) |
Memphis, Tennessee-Mississippi-Arkansas |
876 |
9.3 |
1.2 |
(6.9–11.7) |
Miami-Fort Lauderdale-Miami Beach, Florida |
807 |
9.8 |
1.4 |
(7.1–12.5) |
Midland, Texas |
412 |
8.9 |
1.5 |
(6.0–11.8) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,116 |
9.0 |
1.2 |
(6.6–11.4) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
3,417 |
7.8 |
0.6 |
(6.6–9.0) |
Minot, North Dakota |
407 |
8.7 |
1.6 |
(5.6–11.8) |
Mobile, Alabama |
525 |
10.6 |
1.6 |
(7.4–13.8) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
442 |
13.7 |
1.8 |
(10.2–17.2) |
Naples-Marco Island, Florida |
467 |
12.7 |
1.7 |
(9.3–16.1) |
Nashville-Davidson-Murfreesboro, Tennessee |
614 |
11.2 |
1.7 |
(7.9–14.5) |
Nassau-Suffolk, New York† |
794 |
9.2 |
1.0 |
(7.2–11.2) |
Newark-Union, New Jersey-Pennsylvania† |
2,422 |
9.9 |
0.8 |
(8.3–11.5) |
New Haven-Milford, Connecticut |
1,238 |
8.9 |
1.0 |
(7.0–10.8) |
New Orleans-Metairie-Kenner, Louisiana |
1,158 |
12.5 |
1.1 |
(10.3–14.7) |
New York-White Plains-Wayne, New York-New Jersey† |
4,278 |
10.5 |
0.7 |
(9.2–11.8) |
Norfolk, Nebraska |
549 |
9.4 |
1.3 |
(6.9–11.9) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
474 958 |
13.5 15.5 |
1.7 1.4 |
(10.1–16.9) (13.0–18.4) |
Ocala, Florida |
487 |
14.9 |
1.9 |
(11.2–18.6) |
Ocean City, New Jersey |
420 |
12.7 |
1.9 |
(9.1–16.3) |
TABLE 65. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
1,118 |
9.8 |
1.0 |
(7.8–11.8) |
Oklahoma City, Oklahoma |
1,782 |
13.2 |
0.9 |
(11.5–14.9) |
Olympia, Washington |
566 |
8.6 |
1.2 |
(6.3–10.9) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,669 |
9.2 |
0.8 |
(7.5–10.9) |
Orlando-Kissimmee, Florida |
1,992 |
12.6 |
0.9 |
(10.9–14.3) |
Palm Bay-Melbourne-Titusville, Florida |
434 |
15.0 |
1.8 |
(11.4–18.6) |
Panama City-Lynn Haven, Florida Peabody, Massachusetts |
415 1,506 |
12.7 10.0 |
2.0 1.2 |
(8.9–16.5) (7.8–12.7) |
Pensacola-Ferry Pass-Brent, Florida |
784 |
12.0 |
1.3 |
(9.4–14.6) |
Philadelphia, Pennsylvania† |
1,754 |
8.7 |
0.9 |
(7.0–10.4) |
Phoenix-Mesa-Scottsdale, Arizona |
1,317 |
11.1 |
1.0 |
(9.1–13.1) |
Pittsburgh, Pennsylvania |
1,919 |
13.0 |
0.9 |
(11.2–14.8) |
Portland-South Portland-Biddeford, Maine |
2,043 |
10.0 |
0.8 |
(8.4–11.6) |
Portland-Vancouver-Beaverton, Oregon-Washington |
2,637 |
8.7 |
0.7 |
(7.4–10.0) |
Port St. Lucie-Fort Pierce, Florida |
868 |
14.5 |
1.4 |
(11.8–17.2) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
7,202 |
10.5 |
0.5 |
(9.5–11.5) |
Provo-Orem, Utah |
687 |
10.0 |
1.3 |
(7.5–12.5) |
Raleigh-Cary, North Carolina |
684 |
9.3 |
1.2 |
(6.9–11.7) |
Rapid City, South Dakota |
642 |
10.5 |
1.3 |
(7.9–13.1) |
Reno-Sparks, Nevada |
968 |
9.6 |
1.0 |
(7.6–11.6) |
Richmond, Virginia |
611 |
14.4 |
2.4 |
(9.6–19.2) |
Riverside-San Bernardino-Ontario, California |
1,288 |
9.9 |
0.9 |
(8.1–11.7) |
Rochester, New York |
460 |
10.5 |
1.6 |
(7.4–13.6) |
Rockingham County-Strafford County, New Hampshire† |
1,216 |
10.5 |
0.9 |
(8.7–12.3) |
Rutland, Vermont |
528 |
11.6 |
1.6 |
(8.5–14.7) |
Sacramento-Arden-Arcade-Roseville, California |
981 |
9.2 |
1.1 |
(7.0–11.4) |
St. Louis, Missouri-Illinois |
1,286 |
9.3 |
1.1 |
(7.1–11.5) |
Salt Lake City, Utah |
2,831 |
7.6 |
0.6 |
(6.5–8.7) |
San Antonio, Texas |
828 |
12.4 |
1.4 |
(9.6–15.2) |
San Diego-Carlsbad-San Marcos, California |
1,202 |
9.5 |
1.0 |
(7.5–11.5) |
San Francisco-Oakland-Fremont, California |
1,719 |
7.7 |
0.8 |
(6.1–9.3) |
San Jose-Sunnyvale-Santa Clara, California |
623 |
8.5 |
1.4 |
(5.8–11.2) |
Santa Ana-Anaheim-Irvine, California† |
1,051 |
7.6 |
0.9 |
(5.8–9.4) |
Santa Fe, New Mexico |
502 |
6.9 |
1.4 |
(4.3–9.5) |
Scottsbluff, Nebraska |
649 |
11.5 |
1.5 |
(8.5–14.5) |
Scranton-Wilkes-Barre, Pennsylvania |
446 |
15.9 |
2.0 |
(12.1–19.7) |
Seaford, Delaware |
1,033 |
14.5 |
1.2 |
(12.1–16.9) |
Seattle-Bellevue-Everett, Washington† |
3,521 |
7.3 |
0.5 |
(6.3–8.3) |
Sebring, Florida |
462 |
17.9 |
2.1 |
(13.7–22.1) |
Shreveport-Bossier City, Louisiana |
514 |
14.0 |
1.8 |
(10.4–17.6) |
Sioux City, Iowa-Nebraska-South Dakota |
894 |
10.6 |
1.9 |
(7.0–14.2) |
Sioux Falls, South Dakota |
624 |
10.3 |
1.2 |
(7.9–12.7) |
Spokane, Washington |
925 |
8.1 |
1.0 |
(6.1–10.1) |
Springfield, Massachusetts |
1,560 |
9.8 |
1.0 |
(7.8–11.8) |
Tacoma, Washington† |
1,269 |
10.4 |
1.0 |
(8.4–12.4) |
Tallahassee, Florida |
1,553 |
9.1 |
1.3 |
(6.6–11.6) |
Tampa-St. Petersburg-Clearwater, Florida |
1,683 |
14.4 |
1.1 |
(12.2–16.6) |
Toledo, Ohio |
657 |
11.1 |
1.3 |
(8.6–13.6) |
Topeka, Kansas |
645 |
10.7 |
1.2 |
(8.3–13.1) |
Trenton-Ewing, New Jersey |
363 |
8.2 |
1.8 |
(4.6–11.8) |
Tucson, Arizona |
582 |
10.7 |
1.4 |
(7.9–13.5) |
Tulsa, Oklahoma |
1,565 |
13.1 |
1.0 |
(11.1–15.1) |
Tuscaloosa, Alabama |
373 |
8.3 |
1.6 |
(5.2–11.4) |
Twin Falls, Idaho |
425 |
11.1 |
1.7 |
(7.7–14.5) |
Tyler, Texas |
526 |
13.5 |
1.7 |
(10.2–16.8) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
809 |
11.4 |
1.3 |
(8.8–14.0) |
Warren-Troy-Farmington Hills, Michigan† |
1,439 |
12.2 |
1.0 |
(10.3–14.1) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia† |
4,570 |
7.7 |
0.8 |
(6.1–9.3) |
Wauchula, Florida |
404 |
14.3 |
1.9 |
(10.5–18.1) |
West Palm Beach-Boca Raton-Boynton Beach, Florida† |
473 |
10.6 |
1.5 |
(7.8–13.4) |
Wichita, Kansas |
1,413 |
10.9 |
0.9 |
(9.2–12.6) |
Wichita Falls, Texas |
663 |
16.8 |
2.8 |
(11.3–22.3) |
Wilmington, Delaware-Maryland-New Jersey† |
1,606 |
10.5 |
0.9 |
(8.8–12.2) |
TABLE 65. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
1,522 |
11.9 |
1.2 |
(9.6–14.2) |
Yakima, Washington |
558 |
8.8 |
1.2 |
(6.4–11.2) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
862 |
11.1 |
1.6 |
(8.0–14.2) |
Median |
10.7 |
|||
Range |
6.5-19.6 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Including heart attack, also known as myocardial infarction, and angina. † Metropolitan division. |
TABLE 66. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
437 |
11.5 |
1.7 |
(8.1–14.9) |
Nassau County, Florida |
409 |
14.2 |
1.9 |
(10.4–18.0) |
Orange County, Florida |
695 |
10.6 |
1.5 |
(7.7–13.5) |
Osceola County, Florida |
429 |
16.1 |
2.5 |
(11.2–21.0) |
Palm Beach County, Florida |
473 |
10.6 |
1.5 |
(7.8–13.4) |
Pasco County, Florida |
453 |
16.6 |
2.2 |
(12.3–20.9) |
Pinellas County, Florida |
421 |
13.5 |
1.9 |
(9.7–17.3) |
Polk County, Florida |
423 |
16.2 |
2.2 |
(11.9–20.5) |
St. Johns County, Florida |
420 |
9.8 |
1.5 |
(6.8–12.8) |
St. Lucie County, Florida |
405 |
17.2 |
2.1 |
(13.1–21.3) |
Santa Rosa County, Florida |
375 |
10.7 |
1.7 |
(7.3–14.1) |
Sarasota County, Florida |
539 |
17.3 |
1.9 |
(13.6–21.0) |
Seminole County, Florida |
368 |
12.0 |
1.7 |
(8.7–15.3) |
Volusia County, Florida |
725 |
13.8 |
1.7 |
(10.6–17.0) |
Wakulla County, Florida |
375 |
18.6 |
4.3 |
(10.1–27.1) |
Cobb County, Georgia |
191 |
6.1 |
1.9 |
(2.3–9.9) |
DeKalb County, Georgia |
261 |
7.4 |
1.7 |
(4.1–10.7) |
Fulton County, Georgia |
243 |
7.1 |
1.9 |
(3.3–10.9) |
Gwinnett County, Georgia |
173 |
6.4 |
1.8 |
(2.8–10.0) |
Hawaii County, Hawaii |
1,114 |
8.5 |
0.9 |
(6.6–10.4) |
Honolulu County, Hawaii |
2,202 |
6.5 |
0.6 |
(5.3–7.7) |
Kauai County, Hawaii |
515 |
8.7 |
1.4 |
(5.9–11.5) |
Maui County, Hawaii |
1,116 |
8.5 |
1.1 |
(6.3–10.7) |
Ada County, Idaho |
644 |
11.0 |
1.4 |
(8.2–13.8) |
Bonneville County, Idaho |
365 |
7.8 |
1.5 |
(4.8–10.8) |
Canyon County, Idaho |
446 |
10.2 |
1.5 |
(7.3–13.1) |
Kootenai County, Idaho |
468 |
13.6 |
1.9 |
(9.9–17.3) |
Nez Perce County, Idaho |
306 |
10.9 |
2.0 |
(7.0–14.8) |
Twin Falls County, Idaho |
339 |
10.7 |
1.9 |
(6.9–14.5) |
Cook County, Illinois |
2,112 |
11.0 |
0.9 |
(9.2–12.8) |
DuPage County, Illinois |
177 |
9.2 |
2.4 |
(4.4–14.0) |
Allen County, Indiana |
437 |
13.9 |
2.0 |
(10.0–17.8) |
Lake County, Indiana |
754 |
17.9 |
2.7 |
(12.7–23.1) |
Marion County, Indiana |
1,116 |
12.8 |
1.5 |
(9.9–15.7) |
Linn County, Iowa |
374 |
11.6 |
1.9 |
(8.0–15.2) |
Polk County, Iowa |
566 |
8.2 |
1.1 |
(6.0–10.4) |
Johnson County, Kansas |
1,027 |
7.8 |
0.9 |
(6.1–9.5) |
Sedgwick County, Kansas |
1,096 |
11.2 |
1.0 |
(9.2–13.2) |
Shawnee County, Kansas |
490 |
10.6 |
1.4 |
(7.8–13.4) |
Wyandotte County, Kansas |
462 |
12.0 |
1.7 |
(8.6–15.4) |
Jefferson County, Kentucky |
319 |
9.5 |
1.8 |
(5.9–13.1) |
Caddo Parish, Louisiana |
338 |
11.2 |
2.0 |
(7.2–15.2) |
East Baton Rouge Parish, Louisiana |
516 |
13.7 |
1.9 |
(9.9–17.5) |
Jefferson Parish, Louisiana |
466 |
14.8 |
1.9 |
(11.2–18.4) |
Orleans Parish, Louisiana |
285 |
9.9 |
2.0 |
(5.9–13.9) |
St. Tammany Parish, Louisiana |
278 |
13.9 |
2.3 |
(9.3–18.5) |
Androscoggin County, Maine |
367 |
14.8 |
2.2 |
(10.5–19.1) |
Cumberland County, Maine |
1,099 |
10.0 |
1.2 |
(7.7–12.3) |
Kennebec County, Maine |
524 |
12.8 |
1.6 |
(9.6–16.0) |
Penobscot County, Maine |
523 |
11.1 |
1.5 |
(8.1–14.1) |
Sagadahoc County, Maine |
231 |
8.0 |
2.0 |
(4.1–11.9) |
York County, Maine |
713 |
10.3 |
1.2 |
(7.9–12.7) |
Anne Arundel County, Maryland |
430 |
9.9 |
1.7 |
(6.6–13.2) |
Baltimore County, Maryland |
773 |
10.6 |
1.3 |
(8.1–13.1) |
Cecil County, Maryland |
195 |
12.1 |
2.7 |
(6.7–17.5) |
Charles County, Maryland |
233 |
13.5 |
2.9 |
(7.8–19.2) |
Frederick County, Maryland |
419 |
8.7 |
1.5 |
(5.8–11.6) |
Harford County, Maryland |
205 |
11.8 |
2.5 |
(6.8–16.8) |
Howard County, Maryland |
231 |
9.3 |
2.2 |
(5.0–13.6) |
Montgomery County, Maryland |
783 |
7.5 |
1.0 |
(5.4–9.6) |
Prince George´s County, Maryland |
538 |
7.0 |
1.3 |
(4.5–9.5) |
Queen Anne´s County, Maryland |
222 |
9.7 |
2.1 |
(5.6–13.8) |
Washington County, Maryland |
306 |
11.0 |
2.1 |
(7.0–15.0) |
TABLE 66. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
401 |
10.8 |
2.0 |
(7.0–14.6) |
Bristol County, Massachusetts |
2,213 |
12.1 |
1.3 |
(9.6–14.6) |
Essex County, Massachusetts |
1,552 |
10.4 |
1.3 |
(7.9–12.9) |
Hampden County, Massachusetts |
1,204 |
12.4 |
1.4 |
(9.6–15.2) |
Hampshire County, Massachusetts |
215 |
5.5 |
1.7 |
(2.2–8.8) |
Middlesex County, Massachusetts |
2,118 |
7.9 |
0.7 |
(6.5–9.3) |
Norfolk County, Massachusetts |
651 |
9.5 |
1.2 |
(7.1–11.9) |
Plymouth County, Massachusetts |
506 |
10.8 |
1.5 |
(7.9–13.7) |
Suffolk County, Massachusetts |
1,233 |
10.5 |
1.3 |
(8.0–13.0) |
Worcester County, Massachusetts |
1,522 |
11.9 |
1.2 |
(9.6–14.2) |
Kent County, Michigan |
338 |
6.4 |
1.3 |
(3.8–9.0) |
Macomb County, Michigan |
400 |
13.2 |
1.9 |
(9.5–16.9) |
Oakland County, Michigan |
767 |
11.0 |
1.3 |
(8.4–13.6) |
Wayne County, Michigan |
1,527 |
16.5 |
1.4 |
(13.8–19.2) |
Anoka County, Minnesota |
261 |
8.3 |
2.2 |
(4.1–12.5) |
Dakota County, Minnesota |
395 |
6.6 |
1.5 |
(3.7–9.5) |
Hennepin County, Minnesota |
1,464 |
7.2 |
1.0 |
(5.2–9.2) |
Ramsey County, Minnesota |
689 |
8.5 |
1.6 |
(5.4–11.6) |
Washington County, Minnesota |
170 |
12.7 |
3.0 |
(6.9–18.5) |
DeSoto County, Mississippi |
289 |
10.9 |
2.0 |
(7.0–14.8) |
Hinds County, Mississippi |
245 |
12.3 |
2.6 |
(7.1–17.5) |
Jackson County, Missouri |
401 |
11.0 |
1.6 |
(7.8–14.2) |
St. Louis County, Missouri |
460 |
9.6 |
2.0 |
(5.8–13.4) |
St. Louis city, Missouri |
461 |
10.5 |
1.9 |
(6.7–14.3) |
Flathead County, Montana |
533 |
9.1 |
1.3 |
(6.5–11.7) |
Lewis and Clark County, Montana |
427 |
10.9 |
1.5 |
(7.9–13.9) |
Yellowstone County, Montana |
386 |
13.1 |
1.9 |
(9.3–16.9) |
Adams County, Nebraska |
379 |
11.7 |
1.8 |
(8.2–15.2) |
Dakota County, Nebraska |
547 |
9.7 |
1.3 |
(7.1–12.3) |
Douglas County, Nebraska |
687 |
8.4 |
1.1 |
(6.1–10.7) |
Hall County, Nebraska |
466 |
13.7 |
1.8 |
(10.2–17.2) |
Lancaster County, Nebraska |
644 |
9.5 |
1.2 |
(7.1–11.9) |
Lincoln County, Nebraska |
451 |
13.8 |
1.8 |
(10.3–17.3) |
Madison County, Nebraska |
382 |
7.8 |
1.4 |
(5.0–10.6) |
Sarpy County, Nebraska |
400 |
8.5 |
1.6 |
(5.3–11.7) |
Scotts Bluff County, Nebraska |
628 |
11.3 |
1.4 |
(8.5–14.1) |
Seward County, Nebraska |
226 |
15.8 |
3.0 |
(9.9–21.7) |
Clark County, Nevada |
903 |
11.8 |
1.2 |
(9.4–14.2) |
Washoe County, Nevada |
952 |
9.5 |
1.0 |
(7.5–11.5) |
Grafton County, New Hampshire |
408 |
8.2 |
1.5 |
(5.2–11.2) |
Hillsborough County, New Hampshire |
1,070 |
9.4 |
1.0 |
(7.5–11.3) |
Merrimack County, New Hampshire |
512 |
9.4 |
1.5 |
(6.5–12.3) |
Rockingham County, New Hampshire |
778 |
10.2 |
1.1 |
(8.0–12.4) |
Strafford County, New Hampshire |
438 |
11.2 |
1.6 |
(8.1–14.3) |
Atlantic County, New Jersey |
693 |
11.2 |
1.4 |
(8.4–14.0) |
Bergen County, New Jersey |
466 |
8.9 |
1.7 |
(5.6–12.2) |
Burlington County, New Jersey |
432 |
9.1 |
1.5 |
(6.1–12.1) |
Camden County, New Jersey |
443 |
10.7 |
1.7 |
(7.3–14.1) |
Cape May County, New Jersey |
420 |
12.7 |
1.9 |
(9.1–16.3) |
Essex County, New Jersey |
707 |
10.4 |
1.4 |
(7.7–13.1) |
Gloucester County, New Jersey |
378 |
9.7 |
1.7 |
(6.3–13.1) |
Hudson County, New Jersey |
665 |
10.8 |
1.6 |
(7.8–13.8) |
Hunterdon County, New Jersey |
397 |
7.3 |
1.6 |
(4.2–10.4) |
Mercer County, New Jersey |
363 |
8.2 |
1.8 |
(4.6–11.8) |
Middlesex County, New Jersey |
440 |
7.6 |
1.4 |
(4.8–10.4) |
Monmouth County, New Jersey |
428 |
9.5 |
1.8 |
(6.0–13.0) |
Morris County, New Jersey |
530 |
9.2 |
1.5 |
(6.3–12.1) |
Ocean County, New Jersey |
419 |
11.8 |
1.8 |
(8.2–15.4) |
Passaic County, New Jersey |
339 |
6.8 |
1.5 |
(3.9–9.7) |
Somerset County, New Jersey |
381 |
7.8 |
1.6 |
(4.7–10.9) |
Sussex County, New Jersey |
367 |
8.5 |
1.8 |
(4.9–12.1) |
Union County, New Jersey |
374 |
12.0 |
2.1 |
(7.8–16.2) |
Warren County, New Jersey |
381 |
9.4 |
1.4 |
(6.7–12.1) |
TABLE 66. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
957 |
8.3 |
1.1 |
(6.2–10.4) |
Dona Ana County, New Mexico |
398 |
10.7 |
1.6 |
(7.5–13.9) |
Sandoval County, New Mexico |
405 |
8.3 |
1.6 |
(5.1–11.5) |
San Juan County, New Mexico |
511 |
13.8 |
1.9 |
(10.0–17.6) |
Santa Fe County, New Mexico |
502 |
6.9 |
1.4 |
(4.3–9.5) |
Valencia County, New Mexico |
279 |
8.2 |
1.8 |
(4.7–11.7) |
Bronx County, New York |
274 |
10.2 |
2.0 |
(6.3–14.1) |
Erie County, New York |
397 |
13.6 |
1.9 |
(9.8–17.4) |
Kings County, New York |
596 |
11.0 |
1.7 |
(7.6–14.4) |
Monroe County, New York |
305 |
9.6 |
1.9 |
(5.9–13.3) |
Nassau County, New York |
353 |
8.1 |
1.4 |
(5.4–10.8) |
New York County, New York |
797 |
9.8 |
1.4 |
(7.0–12.6) |
Queens County, New York |
556 |
10.5 |
1.5 |
(7.6–13.4) |
Suffolk County, New York |
441 |
10.2 |
1.5 |
(7.3–13.1) |
Westchester County, New York |
298 |
10.4 |
2.1 |
(6.2–14.6) |
Buncombe County, North Carolina |
211 |
12.9 |
2.5 |
(8.1–17.7) |
Cabarrus County, North Carolina |
229 |
10.9 |
2.2 |
(6.5–15.3) |
Catawba County, North Carolina |
231 |
8.9 |
2.0 |
(5.1–12.7) |
Durham County, North Carolina |
439 |
7.0 |
1.3 |
(4.4–9.6) |
Gaston County, North Carolina |
207 |
9.0 |
2.2 |
(4.8–13.2) |
Guilford County, North Carolina |
533 |
10.7 |
1.5 |
(7.8–13.6) |
Johnston County, North Carolina |
186 |
13.1 |
2.7 |
(7.8–18.4) |
Mecklenburg County, North Carolina |
451 |
8.8 |
1.5 |
(5.9–11.7) |
Orange County, North Carolina |
212 |
8.4 |
2.0 |
(4.5–12.3) |
Randolph County, North Carolina |
316 |
14.0 |
2.2 |
(9.7–18.3) |
Union County, North Carolina |
252 |
9.9 |
2.3 |
(5.3–14.5) |
Wake County, North Carolina |
471 |
9.0 |
1.4 |
(6.2–11.8) |
Burleigh County, North Dakota |
421 |
9.4 |
1.4 |
(6.6–12.2) |
Cass County, North Dakota |
578 |
8.9 |
1.2 |
(6.5–11.3) |
Ward County, North Dakota |
341 |
10.0 |
1.9 |
(6.4–13.6) |
Cuyahoga County, Ohio |
556 |
9.8 |
1.5 |
(6.8–12.8) |
Franklin County, Ohio |
486 |
11.1 |
1.6 |
(8.0–14.2) |
Hamilton County, Ohio |
555 |
7.2 |
1.2 |
(4.9–9.5) |
Lucas County, Ohio |
551 |
14.3 |
1.6 |
(11.1–17.5) |
Mahoning County, Ohio |
600 |
11.0 |
1.5 |
(8.1–13.9) |
Montgomery County, Ohio |
559 |
10.6 |
1.7 |
(7.3–13.9) |
Stark County, Ohio |
567 |
11.0 |
1.4 |
(8.2–13.8) |
Summit County, Ohio |
567 |
11.3 |
1.5 |
(8.5–14.1) |
Cleveland County, Oklahoma |
300 |
9.0 |
1.7 |
(5.6–12.4) |
Oklahoma County, Oklahoma |
1,042 |
13.6 |
1.2 |
(11.3–15.9) |
Tulsa County, Oklahoma |
1,072 |
12.7 |
1.1 |
(10.5–14.9) |
Clackamas County, Oregon |
367 |
7.9 |
1.6 |
(4.9–10.9) |
Lane County, Oregon |
420 |
8.1 |
1.4 |
(5.4–10.8) |
Multnomah County, Oregon |
625 |
11.4 |
1.4 |
(8.6–14.2) |
Washington County, Oregon |
428 |
7.3 |
1.3 |
(4.7–9.9) |
Allegheny County, Pennsylvania |
1,091 |
10.5 |
1.1 |
(8.4–12.6) |
Lehigh County, Pennsylvania |
199 |
12.5 |
2.7 |
(7.2–17.8) |
Luzerne County, Pennsylvania |
253 |
16.2 |
2.6 |
(11.1–21.3) |
Montgomery County, Pennsylvania |
258 |
4.9 |
1.4 |
(2.2–7.6) |
Northampton County, Pennsylvania |
196 |
5.8 |
1.7 |
(2.4–9.2) |
Philadelphia County, Pennsylvania |
1,042 |
12.4 |
1.2 |
(10.0–14.8) |
Westmoreland County, Pennsylvania |
267 |
12.8 |
2.3 |
(8.3–17.3) |
Bristol County, Rhode Island |
218 |
7.0 |
1.7 |
(3.7–10.3) |
Kent County, Rhode Island |
691 |
11.9 |
1.4 |
(9.1–14.7) |
Newport County, Rhode Island |
391 |
8.6 |
1.4 |
(5.8–11.4) |
Providence County, Rhode Island |
3,085 |
9.7 |
0.6 |
(8.5–10.9) |
Washington County, Rhode Island |
604 |
9.7 |
1.3 |
(7.2–12.2) |
Aiken County, South Carolina |
362 |
12.3 |
1.9 |
(8.5–16.1) |
Beaufort County, South Carolina |
572 |
10.3 |
1.4 |
(7.6–13.0) |
Berkeley County, South Carolina |
270 |
13.0 |
3.8 |
(5.6–20.4) |
Charleston County, South Carolina |
520 |
10.4 |
1.8 |
(6.8–14.0) |
Greenville County, South Carolina |
391 |
7.0 |
1.4 |
(4.3–9.7) |
Horry County, South Carolina |
442 |
13.7 |
1.8 |
(10.2–17.2) |
TABLE 66. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they have coronary heart disease,* by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
489 |
12.4 |
2.1 |
(8.2–16.6) |
Minnehaha County, South Dakota |
458 |
11.4 |
1.5 |
(8.4–14.4) |
Pennington County, South Dakota |
509 |
10.8 |
1.5 |
(7.9–13.7) |
Davidson County, Tennessee |
317 |
9.1 |
1.9 |
(5.5–12.7) |
Hamilton County, Tennessee |
307 |
12.1 |
2.2 |
(7.8–16.4) |
Knox County, Tennessee |
296 |
14.2 |
2.6 |
(9.1–19.3) |
Shelby County, Tennessee |
303 |
8.1 |
1.7 |
(4.7–11.5) |
Sullivan County, Tennessee |
386 |
14.7 |
2.4 |
(10.0–19.4) |
Bexar County, Texas |
706 |
11.9 |
1.4 |
(9.2–14.6) |
Dallas County, Texas |
291 |
17.6 |
2.8 |
(12.0–23.2) |
El Paso County, Texas |
607 |
11.4 |
1.4 |
(8.7–14.1) |
Fort Bend County, Texas |
648 |
8.3 |
1.2 |
(6.0–10.6) |
Harris County, Texas |
1,025 |
10.6 |
1.1 |
(8.4–12.8) |
Hidalgo County, Texas |
376 |
11.3 |
1.8 |
(7.7–14.9) |
Lubbock County, Texas |
579 |
13.0 |
1.5 |
(10.0–16.0) |
Midland County, Texas |
412 |
8.9 |
1.5 |
(6.0–11.8) |
Potter County, Texas |
246 |
13.2 |
2.3 |
(8.7–17.7) |
Randall County, Texas |
363 |
12.8 |
2.0 |
(9.0–16.6) |
Smith County, Texas |
526 |
13.5 |
1.7 |
(10.2–16.8) |
Tarrant County, Texas |
454 |
9.7 |
1.6 |
(6.6–12.8) |
Travis County, Texas |
530 |
6.1 |
1.7 |
(2.7–9.5) |
Val Verde County, Texas |
409 |
11.0 |
1.9 |
(7.4–14.6) |
Webb County, Texas |
532 |
10.2 |
1.4 |
(7.4–13.0) |
Wichita County, Texas |
537 |
15.3 |
1.8 |
(11.7–18.9) |
Davis County, Utah |
536 |
9.2 |
1.5 |
(6.4–12.0) |
Salt Lake County, Utah |
2,187 |
7.5 |
0.6 |
(6.3–8.7) |
Summit County, Utah |
327 |
6.2 |
1.3 |
(3.7–8.7) |
Tooele County, Utah |
317 |
11.5 |
2.4 |
(6.7–16.3) |
Utah County, Utah |
647 |
10.0 |
1.3 |
(7.4–12.6) |
Weber County, Utah |
550 |
10.6 |
1.5 |
(7.7–13.5) |
Chittenden County, Vermont |
1,094 |
7.5 |
0.8 |
(5.9–9.1) |
Franklin County, Vermont |
331 |
9.9 |
1.6 |
(6.8–13.0) |
Orange County, Vermont |
282 |
6.5 |
1.5 |
(3.5–9.5) |
Rutland County, Vermont |
528 |
11.6 |
1.6 |
(8.5–14.7) |
Washington County, Vermont |
535 |
7.6 |
1.2 |
(5.3–9.9) |
Windsor County, Vermont |
555 |
9.1 |
1.3 |
(6.6–11.6) |
Benton County, Washington |
286 |
9.5 |
1.7 |
(6.2–12.8) |
Clark County, Washington |
841 |
7.3 |
0.9 |
(5.6–9.0) |
Franklin County, Washington |
171 |
11.6 |
2.7 |
(6.3–16.9) |
King County, Washington |
2,295 |
7.3 |
0.6 |
(6.2–8.4) |
Kitsap County, Washington |
730 |
9.3 |
1.1 |
(7.2–11.4) |
Pierce County, Washington |
1,269 |
10.3 |
1.0 |
(8.4–12.2) |
Snohomish County, Washington |
1,226 |
7.1 |
0.8 |
(5.6–8.6) |
Spokane County, Washington |
925 |
8.1 |
1.0 |
(6.1–10.1) |
Thurston County, Washington |
566 |
8.6 |
1.2 |
(6.3–10.9) |
Yakima County, Washington |
558 |
8.8 |
1.2 |
(6.4–11.2) |
Kanawha County, West Virginia |
403 |
14.7 |
2.0 |
(10.8–18.6) |
Milwaukee County, Wisconsin |
889 |
9.9 |
1.6 |
(6.7–13.1) |
Laramie County, Wyoming |
711 |
13.5 |
1.4 |
(10.7–16.3) |
Natrona County, Wyoming |
599 |
11.9 |
1.4 |
(9.1–14.7) |
Median |
10.4 |
|||
Range |
4.9-19.6 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Including heart attack, also known as myocardial infarction, and angina. |
TABLE 68. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Gainesville, Florida |
745 |
4.8 |
1.2 |
(2.4–7.2) |
Grand Island, Nebraska |
689 |
6.4 |
1.1 |
(4.3–8.5) |
Grand Rapids-Wyoming, Michigan |
478 |
3.3 |
0.7 |
(1.9–4.7) |
Greensboro-High Point, North Carolina |
917 |
5.2 |
0.8 |
(3.6–6.8) |
Greenville, South Carolina |
622 |
4.9 |
1.0 |
(2.9–6.9) |
Hagerstown-Martinsburg, Maryland-West Virginia |
484 |
4.1 |
1.0 |
(2.1–6.1) |
Hartford-West Hartford-East Hartford, Connecticut |
1,563 |
2.4 |
0.4 |
(1.6–3.2) |
Hastings, Nebraska |
471 |
2.6 |
0.7 |
(1.2–4.0) |
Helena, Montana |
523 |
2.6 |
0.6 |
(1.5–3.7) |
Hickory-Morganton-Lenoir, North Carolina |
456 |
5.7 |
1.2 |
(3.3–8.1) |
Hilo, Hawaii |
1,127 |
4.0 |
0.7 |
(2.7–5.3) |
Hilton Head Island-Beaufort, South Carolina |
672 |
3.3 |
0.7 |
(1.9–4.7) |
Homosassa Springs, Florida |
472 |
7.7 |
1.5 |
(4.7–10.7) |
Honolulu, Hawaii |
2,230 |
4.1 |
0.4 |
(3.2–5.0) |
Houston-Sugar Land-Baytown, Texas |
1,950 |
4.9 |
0.6 |
(3.7–6.1) |
Huntington-Ashland, West Virginia-Kentucky-Ohio |
504 |
8.7 |
1.5 |
(5.7–11.7) |
Idaho Falls, Idaho |
471 |
2.6 |
0.7 |
(1.2–4.0) |
Indianapolis-Carmel, Indiana |
1,686 |
5.4 |
0.7 |
(4.1–6.7) |
Jackson, Mississippi |
570 |
5.6 |
1.2 |
(3.3–7.9) |
Jacksonville, Florida |
1,983 |
4.5 |
0.7 |
(3.1–5.9) |
Kahului-Wailuku, Hawaii |
1,135 |
4.6 |
0.8 |
(3.0–6.2) |
Kalispell, Montana |
533 |
3.0 |
0.8 |
(1.5–4.5) |
Kansas City, Missouri-Kansas |
2,541 |
4.2 |
0.5 |
(3.2–5.2) |
Kapaa, Hawaii |
520 |
5.8 |
1.4 |
(3.0–8.6) |
Kennewick-Richland-Pasco, Washington |
465 |
3.2 |
0.8 |
(1.6–4.8) |
Key West-Marathon, Florida |
438 |
4.3 |
1.0 |
(2.4–6.2) |
Kingsport-Bristol, Tennessee-Virginia |
554 |
5.2 |
1.3 |
(2.7–7.7) |
Knoxville, Tennessee |
424 |
6.1 |
1.4 |
(3.4–8.8) |
Lake City, Florida |
421 |
7.2 |
1.5 |
(4.2–10.2) |
Lakeland-Winter Haven, Florida |
428 |
8.8 |
1.7 |
(5.4–12.2) |
Laredo, Texas |
539 |
2.9 |
0.7 |
(1.5–4.3) |
Las Cruces, New Mexico |
399 |
4.4 |
1.0 |
(2.5–6.3) |
Las Vegas-Paradise, Nevada |
911 |
6.3 |
0.9 |
(4.5–8.1) |
Lebanon, New Hampshire-Vermont |
1,246 |
3.0 |
0.5 |
(2.0–4.0) |
Lewiston, Idaho-Washington |
500 |
4.1 |
0.8 |
(2.5–5.7) |
Lewiston-Auburn, Maine |
375 |
6.1 |
1.3 |
(3.5–8.7) |
Lincoln, Nebraska |
875 |
3.2 |
0.6 |
(1.9–4.5) |
Little Rock-North Little Rock, Arkansas |
671 |
4.4 |
0.9 |
(2.7–6.1) |
Los Angeles-Long Beach-Glendale, California* |
1,739 |
3.4 |
0.5 |
(2.4–4.4) |
Louisville, Kentucky-Indiana |
704 |
4.4 |
0.9 |
(2.7–6.1) |
Lubbock, Texas |
599 |
5.6 |
1.0 |
(3.6–7.6) |
Manchester-Nashua, New Hampshire |
1,076 |
3.5 |
0.6 |
(2.4–4.6) |
McAllen-Edinburg-Mission, Texas |
380 |
4.0 |
1.1 |
(1.8–6.2) |
Memphis, Tennessee-Mississippi-Arkansas |
892 |
8.0 |
1.4 |
(5.3–10.7) |
Miami-Fort Lauderdale-Miami Beach, Florida |
817 |
5.5 |
1.5 |
(2.6–8.4) |
Midland, Texas |
417 |
4.1 |
1.0 |
(2.2–6.0) |
Milwaukee-Waukesha-West Allis, Wisconsin |
1,123 |
3.8 |
0.9 |
(2.1–5.5) |
Minneapolis-St. Paul-Bloomington, Minnesota-Wisconsin |
3,440 |
3.2 |
0.5 |
(2.3–4.1) |
Minot, North Dakota |
406 |
4.4 |
1.3 |
(1.9–6.9) |
Mobile, Alabama |
528 |
7.3 |
1.3 |
(4.8–9.8) |
Myrtle Beach-Conway-North Myrtle Beach, South Carolina |
449 |
5.6 |
1.2 |
(3.2–8.0) |
Naples-Marco Island, Florida |
468 |
5.0 |
1.2 |
(2.6–7.4) |
Nashville-Davidson-Murfreesboro, Tennessee |
615 |
3.2 |
0.7 |
(1.7–4.7) |
Nassau-Suffolk, New York* |
801 |
3.4 |
0.6 |
(2.2–4.6) |
Newark-Union, New Jersey-Pennsylvania* |
2,433 |
4.3 |
0.5 |
(3.2–5.4) |
New Haven-Milford, Connecticut |
1,253 |
3.6 |
0.6 |
(2.4–4.8) |
New Orleans-Metairie-Kenner, Louisiana |
1,170 |
6.1 |
0.8 |
(4.5–7.7) |
New York-White Plains-Wayne, New York-New Jersey* |
4,326 |
3.5 |
0.3 |
(2.9–4.1) |
Norfolk, Nebraska |
548 |
4.7 |
0.9 |
(2.9–6.5) |
North Platte, Nebraska North Port-Bradenton-Sarasota, Florida |
481 980 |
6.9 5.8 |
1.6 0.8 |
(3.7–10.1) (4.4–7.7) |
Ocala, Florida |
492 |
4.6 |
1.0 |
(2.6–6.6) |
Ocean City, New Jersey |
425 |
3.3 |
0.8 |
(1.6–5.0) |
TABLE 68. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Ogden-Clearfield, Utah |
1,122 |
4.4 |
0.6 |
(3.2–5.6) |
Oklahoma City, Oklahoma |
1,802 |
6.0 |
0.6 |
(4.9–7.1) |
Olympia, Washington |
570 |
3.6 |
0.7 |
(2.2–5.0) |
Omaha-Council Bluffs, Nebraska-Iowa |
1,676 |
4.4 |
0.6 |
(3.2–5.6) |
Orlando-Kissimmee, Florida |
2,007 |
4.8 |
0.6 |
(3.7–5.9) |
Palm Bay-Melbourne-Titusville, Florida |
440 |
7.5 |
1.6 |
(4.3–10.7) |
Panama City-Lynn Haven, Florida Peabody, Massachusetts |
417 1,520 |
3.5 3.5 |
0.9 0.7 |
(1.8–5.2) (2.3–5.2) |
Pensacola-Ferry Pass-Brent, Florida |
790 |
5.2 |
0.9 |
(3.4–7.0) |
Philadelphia, Pennsylvania* |
1,775 |
4.9 |
0.9 |
(3.2–6.6) |
Phoenix-Mesa-Scottsdale, Arizona |
1,324 |
4.7 |
0.6 |
(3.5–5.9) |
Pittsburgh, Pennsylvania |
1,938 |
5.2 |
0.6 |
(4.1–6.3) |
Portland-South Portland-Biddeford, Maine |
2,058 |
3.3 |
0.4 |
(2.5–4.1) |
Portland-Vancouver-Beaverton, Oregon-Washington |
2,667 |
4.1 |
0.4 |
(3.3–4.9) |
Port St. Lucie-Fort Pierce, Florida |
879 |
6.1 |
1.0 |
(4.2–8.0) |
Providence-New Bedford-Fall River, Rhode Island-Massachusetts |
7,243 |
3.8 |
0.3 |
(3.3–4.3) |
Provo-Orem, Utah |
693 |
4.5 |
0.9 |
(2.8–6.2) |
Raleigh-Cary, North Carolina |
691 |
4.0 |
0.8 |
(2.5–5.5) |
Rapid City, South Dakota |
644 |
3.0 |
0.7 |
(1.7–4.3) |
Reno-Sparks, Nevada |
975 |
2.7 |
0.4 |
(1.8–3.6) |
Richmond, Virginia |
615 |
4.9 |
1.0 |
(3.0–6.8) |
Riverside-San Bernardino-Ontario, California |
1,289 |
4.1 |
0.6 |
(3.0–5.2) |
Rochester, New York |
463 |
3.3 |
0.9 |
(1.6–5.0) |
Rockingham County-Strafford County, New Hampshire* |
1,226 |
3.7 |
0.6 |
(2.6–4.8) |
Rutland, Vermont |
526 |
2.3 |
0.7 |
(1.0–3.6) |
Sacramento-Arden-Arcade-Roseville, California |
983 |
4.9 |
0.8 |
(3.3–6.5) |
St. Louis, Missouri-Illinois |
1,296 |
5.4 |
0.9 |
(3.6–7.2) |
Salt Lake City, Utah |
2,846 |
3.7 |
0.4 |
(2.9–4.5) |
San Antonio, Texas |
837 |
4.4 |
0.7 |
(3.0–5.8) |
San Diego-Carlsbad-San Marcos, California |
1,204 |
4.9 |
0.7 |
(3.5–6.3) |
San Francisco-Oakland-Fremont, California |
1,724 |
3.7 |
0.6 |
(2.6–4.8) |
San Jose-Sunnyvale-Santa Clara, California |
624 |
5.2 |
1.3 |
(2.7–7.7) |
Santa Ana-Anaheim-Irvine, California* |
1,052 |
4.9 |
0.8 |
(3.3–6.5) |
Santa Fe, New Mexico |
503 |
3.2 |
1.0 |
(1.3–5.1) |
Scottsbluff, Nebraska |
649 |
4.1 |
0.9 |
(2.4–5.8) |
Scranton-Wilkes-Barre, Pennsylvania |
446 |
5.3 |
1.1 |
(3.1–7.5) |
Seaford, Delaware |
1,043 |
5.5 |
0.8 |
(4.0–7.0) |
Seattle-Bellevue-Everett, Washington* |
3,563 |
3.3 |
0.3 |
(2.6–4.0) |
Sebring, Florida |
463 |
5.4 |
1.0 |
(3.4–7.4) |
Shreveport-Bossier City, Louisiana |
518 |
6.4 |
1.2 |
(4.1–8.7) |
Sioux City, Iowa-Nebraska-South Dakota |
898 |
2.7 |
0.7 |
(1.3–4.1) |
Sioux Falls, South Dakota |
628 |
3.2 |
0.7 |
(1.9–4.5) |
Spokane, Washington |
935 |
4.1 |
0.8 |
(2.6–5.6) |
Springfield, Massachusetts |
1,571 |
3.7 |
0.6 |
(2.5–4.9) |
Tacoma, Washington* |
1,285 |
4.4 |
0.7 |
(3.1–5.7) |
Tallahassee, Florida |
1,571 |
5.1 |
0.9 |
(3.4–6.8) |
Tampa-St. Petersburg-Clearwater, Florida |
1,695 |
5.8 |
0.8 |
(4.3–7.3) |
Toledo, Ohio |
663 |
5.8 |
1.1 |
(3.7–7.9) |
Topeka, Kansas |
648 |
4.0 |
0.7 |
(2.6–5.4) |
Trenton-Ewing, New Jersey |
366 |
3.6 |
1.3 |
(1.1–6.1) |
Tucson, Arizona |
589 |
6.4 |
1.2 |
(4.1–8.7) |
Tulsa, Oklahoma |
1,587 |
6.8 |
0.7 |
(5.4–8.2) |
Tuscaloosa, Alabama |
380 |
6.5 |
1.3 |
(3.9–9.1) |
Twin Falls, Idaho |
430 |
5.3 |
1.2 |
(2.9–7.7) |
Tyler, Texas |
533 |
6.4 |
1.2 |
(4.1–8.7) |
Virginia Beach-Norfolk-Newport News, Virginia-North Carolina |
816 |
6.5 |
1.0 |
(4.5–8.5) |
Warren-Troy-Farmington Hills, Michigan* |
1,452 |
3.2 |
0.5 |
(2.3–4.1) |
Washington-Arlington-Alexandria, District of Columbia-Virginia-Maryland-West Virginia* |
4,609 |
3.0 |
0.4 |
(2.1–3.9) |
Wauchula, Florida |
413 |
5.5 |
1.3 |
(3.0–8.0) |
West Palm Beach-Boca Raton-Boynton Beach, Florida* |
475 |
2.6 |
0.7 |
(1.3–3.9) |
Wichita, Kansas |
1,417 |
5.2 |
0.6 |
(4.0–6.4) |
Wichita Falls, Texas |
670 |
6.8 |
1.4 |
(4.0–9.6) |
Wilmington, Delaware-Maryland-New Jersey* |
1,615 |
4.4 |
0.6 |
(3.3–5.5) |
TABLE 68. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by metropolitan and micropolitan statistical area (MMSA) — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
MMSA |
Sample size |
% |
SE |
(95% CI) |
Worcester, Massachusetts |
1,531 |
3.2 |
0.6 |
(2.0–4.4) |
Yakima, Washington |
568 |
4.7 |
1.2 |
(2.4–7.0) |
Youngstown-Warren-Boardman, Ohio-Pennsylvania |
878 |
5.1 |
1.2 |
(2.8–7.4) |
Median |
4.4 |
|||
Range |
2.3-8.8 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Metropolitan division. |
TABLE 69. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Monroe County, Florida |
438 |
4.3 |
1.0 |
(2.4–6.2) |
Nassau County, Florida |
410 |
3.7 |
0.8 |
(2.1–5.3) |
Orange County, Florida |
702 |
5.7 |
1.2 |
(3.4–8.0) |
Osceola County, Florida |
433 |
8.0 |
1.9 |
(4.3–11.7) |
Palm Beach County, Florida |
475 |
2.6 |
0.7 |
(1.3–3.9) |
Pasco County, Florida |
455 |
5.7 |
1.1 |
(3.6–7.8) |
Pinellas County, Florida |
424 |
5.5 |
1.3 |
(2.9–8.1) |
Polk County, Florida |
428 |
8.8 |
1.7 |
(5.4–12.2) |
St. Johns County, Florida |
423 |
4.7 |
1.1 |
(2.6–6.8) |
St. Lucie County, Florida |
412 |
6.4 |
1.3 |
(3.8–9.0) |
Santa Rosa County, Florida |
375 |
5.5 |
1.2 |
(3.2–7.8) |
Sarasota County, Florida |
543 |
6.3 |
1.1 |
(4.1–8.5) |
Seminole County, Florida |
370 |
1.9 |
0.7 |
(0.5–3.3) |
Volusia County, Florida |
733 |
5.6 |
1.0 |
(3.7–7.5) |
Wakulla County, Florida |
382 |
4.2 |
1.1 |
(2.1–6.3) |
Cobb County, Georgia |
192 |
NA |
NA |
NA |
DeKalb County, Georgia |
262 |
5.9 |
1.8 |
(2.3–9.5) |
Fulton County, Georgia |
243 |
3.4 |
1.3 |
(0.9–5.9) |
Gwinnett County, Georgia |
174 |
2.5 |
1.2 |
(0.2–4.8) |
Hawaii County, Hawaii |
1,127 |
4.0 |
0.7 |
(2.7–5.3) |
Honolulu County, Hawaii |
2,230 |
4.1 |
0.4 |
(3.2–5.0) |
Kauai County, Hawaii |
520 |
5.8 |
1.4 |
(3.0–8.6) |
Maui County, Hawaii |
1,135 |
4.6 |
0.8 |
(3.0–6.2) |
Ada County, Idaho |
649 |
3.0 |
0.7 |
(1.7–4.3) |
Bonneville County, Idaho |
366 |
2.1 |
0.7 |
(0.8–3.4) |
Canyon County, Idaho |
448 |
4.3 |
0.9 |
(2.5–6.1) |
Kootenai County, Idaho |
477 |
3.4 |
0.7 |
(2.0–4.8) |
Nez Perce County, Idaho |
309 |
1.9 |
0.7 |
(0.5–3.3) |
Twin Falls County, Idaho |
342 |
6.0 |
1.5 |
(3.1–8.9) |
Cook County, Illinois |
2,117 |
5.0 |
0.5 |
(3.9–6.1) |
DuPage County, Illinois |
177 |
NA |
NA |
NA |
Allen County, Indiana |
439 |
5.4 |
1.2 |
(3.1–7.7) |
Lake County, Indiana |
763 |
6.5 |
1.3 |
(4.0–9.0) |
Marion County, Indiana |
1,125 |
6.3 |
1.1 |
(4.2–8.4) |
Linn County, Iowa |
376 |
3.8 |
0.9 |
(2.0–5.6) |
Polk County, Iowa |
572 |
4.5 |
0.9 |
(2.8–6.2) |
Johnson County, Kansas |
1,031 |
2.2 |
0.5 |
(1.3–3.1) |
Sedgwick County, Kansas |
1,098 |
5.6 |
0.7 |
(4.2–7.0) |
Shawnee County, Kansas |
492 |
4.3 |
0.9 |
(2.6–6.0) |
Wyandotte County, Kansas |
465 |
5.8 |
1.3 |
(3.3–8.3) |
Jefferson County, Kentucky |
320 |
5.4 |
1.4 |
(2.7–8.1) |
Caddo Parish, Louisiana |
342 |
5.6 |
1.5 |
(2.8–8.4) |
East Baton Rouge Parish, Louisiana |
521 |
3.3 |
1.0 |
(1.3–5.3) |
Jefferson Parish, Louisiana |
470 |
5.9 |
1.3 |
(3.4–8.4) |
Orleans Parish, Louisiana |
286 |
6.1 |
1.5 |
(3.1–9.1) |
St. Tammany Parish, Louisiana |
283 |
5.6 |
1.4 |
(2.8–8.4) |
Androscoggin County, Maine |
375 |
6.1 |
1.3 |
(3.5–8.7) |
Cumberland County, Maine |
1,105 |
2.0 |
0.4 |
(1.2–2.8) |
Kennebec County, Maine |
522 |
4.9 |
1.0 |
(2.9–6.9) |
Penobscot County, Maine |
529 |
4.2 |
0.9 |
(2.5–5.9) |
Sagadahoc County, Maine |
234 |
5.4 |
1.5 |
(2.5–8.3) |
York County, Maine |
719 |
5.0 |
0.9 |
(3.3–6.7) |
Anne Arundel County, Maryland |
431 |
3.5 |
0.9 |
(1.8–5.2) |
Baltimore County, Maryland |
775 |
4.7 |
0.9 |
(3.0–6.4) |
Cecil County, Maryland |
198 |
3.7 |
1.4 |
(1.0–6.4) |
Charles County, Maryland |
233 |
8.1 |
2.5 |
(3.2–13.0) |
Frederick County, Maryland |
422 |
3.3 |
0.8 |
(1.7–4.9) |
Harford County, Maryland |
207 |
4.1 |
1.5 |
(1.2–7.0) |
Howard County, Maryland |
233 |
3.6 |
1.3 |
(1.0–6.2) |
Montgomery County, Maryland |
785 |
4.4 |
1.0 |
(2.5–6.3) |
Prince George´s County, Maryland |
542 |
3.5 |
1.0 |
(1.6–5.4) |
Queen Anne´s County, Maryland |
223 |
1.7 |
0.8 |
(0.1–3.3) |
Washington County, Maryland |
311 |
5.1 |
1.5 |
(2.1–8.1) |
TABLE 69. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Baltimore city, Maryland |
403 |
5.9 |
1.3 |
(3.3–8.5) |
Bristol County, Massachusetts |
2,222 |
3.1 |
0.5 |
(2.1–4.1) |
Essex County, Massachusetts |
1,557 |
3.5 |
0.7 |
(2.1–4.9) |
Hampden County, Massachusetts |
1,216 |
4.5 |
0.8 |
(2.9–6.1) |
Hampshire County, Massachusetts |
214 |
2.1 |
1.0 |
(0.2–4.0) |
Middlesex County, Massachusetts |
2,130 |
2.7 |
0.5 |
(1.8–3.6) |
Norfolk County, Massachusetts |
652 |
3.0 |
0.7 |
(1.6–4.4) |
Plymouth County, Massachusetts |
508 |
3.1 |
0.7 |
(1.6–4.6) |
Suffolk County, Massachusetts |
1,243 |
4.7 |
0.8 |
(3.1–6.3) |
Worcester County, Massachusetts |
1,531 |
3.2 |
0.6 |
(2.0–4.4) |
Kent County, Michigan |
345 |
2.9 |
0.8 |
(1.4–4.4) |
Macomb County, Michigan |
406 |
4.0 |
1.0 |
(2.1–5.9) |
Oakland County, Michigan |
770 |
2.2 |
0.5 |
(1.2–3.2) |
Wayne County, Michigan |
1,545 |
5.5 |
0.6 |
(4.3–6.7) |
Anoka County, Minnesota |
263 |
5.2 |
1.5 |
(2.2–8.2) |
Dakota County, Minnesota |
397 |
2.7 |
1.2 |
(0.3–5.1) |
Hennepin County, Minnesota |
1,476 |
3.2 |
0.7 |
(1.9–4.5) |
Ramsey County, Minnesota |
695 |
3.9 |
1.2 |
(1.5–6.3) |
Washington County, Minnesota |
170 |
NA |
NA |
NA |
DeSoto County, Mississippi |
296 |
5.0 |
1.4 |
(2.3–7.7) |
Hinds County, Mississippi |
247 |
6.6 |
2.1 |
(2.5–10.7) |
Jackson County, Missouri |
404 |
3.8 |
1.0 |
(1.9–5.7) |
St. Louis County, Missouri |
463 |
4.9 |
1.2 |
(2.5–7.3) |
St. Louis city, Missouri |
466 |
4.6 |
0.9 |
(2.8–6.4) |
Flathead County, Montana |
533 |
3.0 |
0.8 |
(1.5–4.5) |
Lewis and Clark County, Montana |
431 |
2.9 |
0.7 |
(1.6–4.2) |
Yellowstone County, Montana |
389 |
6.0 |
1.2 |
(3.6–8.4) |
Adams County, Nebraska |
385 |
2.6 |
0.8 |
(1.1–4.1) |
Dakota County, Nebraska |
547 |
4.8 |
1.0 |
(2.8–6.8) |
Douglas County, Nebraska |
691 |
5.0 |
0.9 |
(3.2–6.8) |
Hall County, Nebraska |
471 |
6.8 |
1.3 |
(4.2–9.4) |
Lancaster County, Nebraska |
646 |
3.0 |
0.7 |
(1.7–4.3) |
Lincoln County, Nebraska |
458 |
7.2 |
1.7 |
(3.9–10.5) |
Madison County, Nebraska |
382 |
4.7 |
1.1 |
(2.6–6.8) |
Sarpy County, Nebraska |
400 |
2.4 |
0.7 |
(1.0–3.8) |
Scotts Bluff County, Nebraska |
628 |
4.3 |
0.9 |
(2.6–6.0) |
Seward County, Nebraska |
229 |
5.0 |
1.4 |
(2.3–7.7) |
Clark County, Nevada |
911 |
6.3 |
0.9 |
(4.5–8.1) |
Washoe County, Nevada |
959 |
2.7 |
0.5 |
(1.8–3.6) |
Grafton County, New Hampshire |
409 |
2.6 |
0.8 |
(1.0–4.2) |
Hillsborough County, New Hampshire |
1,076 |
3.5 |
0.6 |
(2.4–4.6) |
Merrimack County, New Hampshire |
516 |
3.7 |
0.8 |
(2.0–5.4) |
Rockingham County, New Hampshire |
786 |
3.4 |
0.7 |
(2.0–4.8) |
Strafford County, New Hampshire |
440 |
4.4 |
1.0 |
(2.4–6.4) |
Atlantic County, New Jersey |
699 |
4.9 |
1.2 |
(2.6–7.2) |
Bergen County, New Jersey |
467 |
4.1 |
1.2 |
(1.7–6.5) |
Burlington County, New Jersey |
434 |
3.7 |
0.9 |
(1.9–5.5) |
Camden County, New Jersey |
448 |
3.8 |
0.9 |
(2.0–5.6) |
Cape May County, New Jersey |
425 |
3.3 |
0.8 |
(1.6–5.0) |
Essex County, New Jersey |
713 |
5.9 |
1.1 |
(3.8–8.0) |
Gloucester County, New Jersey |
379 |
4.1 |
1.2 |
(1.8–6.4) |
Hudson County, New Jersey |
673 |
4.3 |
0.8 |
(2.7–5.9) |
Hunterdon County, New Jersey |
397 |
1.8 |
0.6 |
(0.6–3.0) |
Mercer County, New Jersey |
366 |
3.6 |
1.3 |
(1.1–6.1) |
Middlesex County, New Jersey |
441 |
2.5 |
0.7 |
(1.1–3.9) |
Monmouth County, New Jersey |
431 |
2.6 |
1.1 |
(0.5–4.7) |
Morris County, New Jersey |
527 |
2.8 |
0.8 |
(1.2–4.4) |
Ocean County, New Jersey |
424 |
5.1 |
1.2 |
(2.7–7.5) |
Passaic County, New Jersey |
342 |
2.7 |
1.0 |
(0.8–4.6) |
Somerset County, New Jersey |
384 |
2.0 |
0.8 |
(0.4–3.6) |
Sussex County, New Jersey |
368 |
2.0 |
0.6 |
(0.7–3.3) |
Union County, New Jersey |
380 |
5.0 |
1.3 |
(2.5–7.5) |
Warren County, New Jersey |
382 |
4.2 |
1.1 |
(2.1–6.3) |
TABLE 69. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Bernalillo County, New Mexico |
961 |
4.1 |
0.7 |
(2.7–5.5) |
Dona Ana County, New Mexico |
399 |
4.4 |
1.0 |
(2.5–6.3) |
Sandoval County, New Mexico |
406 |
3.0 |
0.9 |
(1.3–4.7) |
San Juan County, New Mexico |
515 |
3.9 |
0.9 |
(2.1–5.7) |
Santa Fe County, New Mexico |
503 |
3.2 |
1.0 |
(1.3–5.1) |
Valencia County, New Mexico |
280 |
4.0 |
1.3 |
(1.5–6.5) |
Bronx County, New York |
282 |
5.4 |
1.3 |
(2.9–7.9) |
Erie County, New York |
398 |
3.0 |
0.8 |
(1.5–4.5) |
Kings County, New York |
606 |
3.9 |
0.8 |
(2.4–5.4) |
Monroe County, New York |
308 |
3.5 |
1.1 |
(1.3–5.7) |
Nassau County, New York |
354 |
5.2 |
1.2 |
(2.8–7.6) |
New York County, New York |
800 |
3.1 |
0.8 |
(1.6–4.6) |
Queens County, New York |
567 |
3.2 |
0.8 |
(1.6–4.8) |
Suffolk County, New York |
447 |
2.1 |
0.6 |
(0.8–3.4) |
Westchester County, New York |
299 |
2.9 |
1.2 |
(0.5–5.3) |
Buncombe County, North Carolina |
212 |
8.8 |
2.4 |
(4.1–13.5) |
Cabarrus County, North Carolina |
232 |
6.0 |
1.5 |
(3.1–8.9) |
Catawba County, North Carolina |
230 |
1.7 |
0.7 |
(0.3–3.1) |
Durham County, North Carolina |
439 |
4.1 |
1.0 |
(2.2–6.0) |
Gaston County, North Carolina |
210 |
3.3 |
1.3 |
(0.7–5.9) |
Guilford County, North Carolina |
536 |
4.5 |
0.9 |
(2.7–6.3) |
Johnston County, North Carolina |
189 |
7.3 |
2.1 |
(3.1–11.5) |
Mecklenburg County, North Carolina |
452 |
4.0 |
1.1 |
(1.9–6.1) |
Orange County, North Carolina |
212 |
2.1 |
0.8 |
(0.4–3.8) |
Randolph County, North Carolina |
319 |
5.8 |
1.4 |
(3.1–8.5) |
Union County, North Carolina |
255 |
4.1 |
2.1 |
(0.1–8.1) |
Wake County, North Carolina |
474 |
3.2 |
0.7 |
(1.7–4.7) |
Burleigh County, North Dakota |
424 |
4.7 |
1.0 |
(2.8–6.6) |
Cass County, North Dakota |
581 |
3.1 |
0.7 |
(1.7–4.5) |
Ward County, North Dakota |
338 |
4.8 |
1.5 |
(1.9–7.7) |
Cuyahoga County, Ohio |
564 |
4.9 |
1.0 |
(3.0–6.8) |
Franklin County, Ohio |
487 |
4.2 |
0.9 |
(2.4–6.0) |
Hamilton County, Ohio |
560 |
3.0 |
0.7 |
(1.7–4.3) |
Lucas County, Ohio |
554 |
6.0 |
1.1 |
(3.9–8.1) |
Mahoning County, Ohio |
613 |
4.4 |
0.8 |
(2.7–6.1) |
Montgomery County, Ohio |
570 |
5.8 |
1.1 |
(3.7–7.9) |
Stark County, Ohio |
571 |
3.3 |
0.7 |
(1.9–4.7) |
Summit County, Ohio |
574 |
3.9 |
0.8 |
(2.2–5.6) |
Cleveland County, Oklahoma |
304 |
3.9 |
1.0 |
(2.0–5.8) |
Oklahoma County, Oklahoma |
1,056 |
5.7 |
0.8 |
(4.2–7.2) |
Tulsa County, Oklahoma |
1,088 |
7.2 |
0.9 |
(5.5–8.9) |
Clackamas County, Oregon |
370 |
3.6 |
0.9 |
(1.8–5.4) |
Lane County, Oregon |
425 |
3.0 |
0.7 |
(1.6–4.4) |
Multnomah County, Oregon |
631 |
5.7 |
1.0 |
(3.8–7.6) |
Washington County, Oregon |
430 |
3.4 |
0.8 |
(1.8–5.0) |
Allegheny County, Pennsylvania |
1,101 |
4.5 |
0.7 |
(3.1–5.9) |
Lehigh County, Pennsylvania |
204 |
6.4 |
2.2 |
(2.2–10.6) |
Luzerne County, Pennsylvania |
253 |
7.4 |
1.8 |
(3.9–10.9) |
Montgomery County, Pennsylvania |
260 |
3.2 |
1.3 |
(0.7–5.7) |
Northampton County, Pennsylvania |
200 |
3.6 |
1.3 |
(1.1–6.1) |
Philadelphia County, Pennsylvania |
1,056 |
6.6 |
0.9 |
(4.9–8.3) |
Westmoreland County, Pennsylvania |
268 |
4.6 |
1.4 |
(1.9–7.3) |
Bristol County, Rhode Island |
219 |
5.6 |
1.8 |
(2.1–9.1) |
Kent County, Rhode Island |
695 |
5.6 |
0.9 |
(3.8–7.4) |
Newport County, Rhode Island |
394 |
3.3 |
0.9 |
(1.6–5.0) |
Providence County, Rhode Island |
3,107 |
3.5 |
0.4 |
(2.7–4.3) |
Washington County, Rhode Island |
606 |
3.5 |
0.8 |
(1.9–5.1) |
Aiken County, South Carolina |
372 |
5.5 |
1.3 |
(3.0–8.0) |
Beaufort County, South Carolina |
577 |
3.2 |
0.8 |
(1.7–4.7) |
Berkeley County, South Carolina |
276 |
5.9 |
2.5 |
(1.0–10.8) |
Charleston County, South Carolina |
528 |
7.0 |
1.6 |
(3.9–10.1) |
Greenville County, South Carolina |
400 |
3.3 |
0.9 |
(1.5–5.1) |
Horry County, South Carolina |
449 |
5.6 |
1.2 |
(3.2–8.0) |
TABLE 69. (Continued) Estimated prevalence of adults aged ≥45 years who have ever been told by a health professional that they had a stroke, by county — Behavioral Risk Factor Surveillance System, United States, 2010 |
||||
---|---|---|---|---|
County |
Sample size |
% |
SE |
(95% CI) |
Richland County, South Carolina |
501 |
6.3 |
1.8 |
(2.8–9.8) |
Minnehaha County, South Dakota |
459 |
3.5 |
0.8 |
(1.9–5.1) |
Pennington County, South Dakota |
512 |
3.3 |
0.8 |
(1.7–4.9) |
Davidson County, Tennessee |
315 |
4.0 |
1.2 |
(1.6–6.4) |
Hamilton County, Tennessee |
309 |
4.7 |
1.2 |
(2.3–7.1) |
Knox County, Tennessee |
297 |
5.9 |
1.5 |
(2.9–8.9) |
Shelby County, Tennessee |
305 |
8.5 |
1.9 |
(4.9–12.1) |
Sullivan County, Tennessee |
390 |
4.9 |
1.1 |
(2.8–7.0) |
Bexar County, Texas |
715 |
5.4 |
0.9 |
(3.7–7.1) |
Dallas County, Texas |
292 |
4.7 |
1.3 |
(2.1–7.3) |
El Paso County, Texas |
609 |
4.6 |
1.1 |
(2.4–6.8) |
Fort Bend County, Texas |
651 |
3.3 |
0.9 |
(1.6–5.0) |
Harris County, Texas |
1,033 |
5.1 |
0.8 |
(3.6–6.6) |
Hidalgo County, Texas |
380 |
4.0 |
1.1 |
(1.8–6.2) |
Lubbock County, Texas |
581 |
5.8 |
1.1 |
(3.7–7.9) |
Midland County, Texas |
417 |
4.1 |
1.0 |
(2.2–6.0) |
Potter County, Texas |
248 |
4.0 |
1.3 |
(1.5–6.5) |
Randall County, Texas |
365 |
3.0 |
1.0 |
(1.1–4.9) |
Smith County, Texas |
533 |
6.4 |
1.2 |
(4.1–8.7) |
Tarrant County, Texas |
461 |
4.4 |
1.2 |
(2.1–6.7) |
Travis County, Texas |
533 |
3.3 |
1.4 |
(0.6–6.0) |
Val Verde County, Texas |
413 |
4.5 |
1.2 |
(2.2–6.8) |
Webb County, Texas |
539 |
2.9 |
0.7 |
(1.5–4.3) |
Wichita County, Texas |
542 |
6.7 |
1.3 |
(4.2–9.2) |
Davis County, Utah |
540 |
3.9 |
0.8 |
(2.2–5.6) |
Salt Lake County, Utah |
2,196 |
3.7 |
0.4 |
(2.9–4.5) |
Summit County, Utah |
328 |
1.9 |
0.8 |
(0.3–3.5) |
Tooele County, Utah |
322 |
4.9 |
1.4 |
(2.2–7.6) |
Utah County, Utah |
655 |
4.7 |
0.9 |
(2.9–6.5) |
Weber County, Utah |
550 |
5.2 |
1.0 |
(3.3–7.1) |
Chittenden County, Vermont |
1,097 |
2.7 |
0.5 |
(1.8–3.6) |
Franklin County, Vermont |
332 |
6.2 |
1.4 |
(3.5–8.9) |
Orange County, Vermont |
283 |
2.9 |
1.1 |
(0.7–5.1) |
Rutland County, Vermont |
526 |
2.3 |
0.7 |
(1.0–3.6) |
Washington County, Vermont |
535 |
3.5 |
0.9 |
(1.8–5.2) |
Windsor County, Vermont |
554 |
3.5 |
0.8 |
(1.9–5.1) |
Benton County, Washington |
293 |
2.8 |
0.9 |
(1.1–4.5) |
Clark County, Washington |
854 |
3.7 |
0.6 |
(2.5–4.9) |
Franklin County, Washington |
172 |
3.7 |
1.6 |
(0.6–6.8) |
King County, Washington |
2,323 |
3.1 |
0.4 |
(2.4–3.8) |
Kitsap County, Washington |
733 |
3.7 |
0.7 |
(2.3–5.1) |
Pierce County, Washington |
1,285 |
4.2 |
0.6 |
(3.0–5.4) |
Snohomish County, Washington |
1,240 |
3.1 |
0.5 |
(2.1–4.1) |
Spokane County, Washington |
935 |
4.1 |
0.8 |
(2.6–5.6) |
Thurston County, Washington |
570 |
3.6 |
0.7 |
(2.2–5.0) |
Yakima County, Washington |
568 |
4.7 |
1.2 |
(2.4–7.0) |
Kanawha County, West Virginia |
406 |
7.5 |
1.4 |
(4.8–10.2) |
Milwaukee County, Wisconsin |
894 |
4.3 |
1.1 |
(2.2–6.4) |
Laramie County, Wyoming |
714 |
3.3 |
0.6 |
(2.1–4.5) |
Natrona County, Wyoming |
599 |
5.4 |
1.0 |
(3.4–7.4) |
Median |
4.3 |
|||
Range |
1.7-8.8 |
|||
Abbreviations: SE = standard error; CI = confidence interval. * Estimate not available (NA) if the unweighted sample size for the denominator was <50 or if the confidence interval half width is >10. |
TABLE 70. Selected Healthy People 2010 objectives* and estimated prevalence ranges for selected indicators by state, metropolitan and micropolitan statistical area (MMSA), and county — Behavioral Risk Factor Surveillance System (BRFSS), United States, 2010 |
|||||
---|---|---|---|---|---|
Objective No. |
Objective |
2010 target (%) |
Prevalence range for states (%) |
Prevalence range for MMSAs† (%) |
Prevalence range for counties§ (%) |
1–1 |
Increase the proportion of persons with health insurance¶ |
100 |
69.4–95.7 |
45.7–97.0 |
45.7–97.2 |
3–11b |
Increase the proportion of women aged ≥18 years who received a Papanicolaou (PAP) test within preceding 3 years |
90 |
67.8–88.9 |
63.3–91.0 |
63.2–95.7 |
3–12 |
Increase the proportion of adults aged ≥50 years who receive a colorectal cancer screening examination |
||||
3–12a |
Fecal Occult Blood Test within preceding 2 years |
33** |
8.5–27.0 |
6.7–51.3 |
6.8–57.2 |
3–12b |
Sigmoidoscopy/colonoscopy†† in lifetime |
50 |
37.8–75.7 |
37.3–79.9 |
37.3–82.5 |
3–13 |
Increase the proportion of women aged ≥40 years who received a mammogram during the preceding 2 years |
70 |
63.8–83.6 |
60.3–86.2 |
59.3–89.7 |
14–29a |
Increase the proportion of adults aged ≥65 years who are vaccinated against influenza |
90 |
26.9–73.4 |
51.7–77.1 |
49.3–87.8 |
14–29b |
Increase the proportion of adults aged ≥65 years who have ever been vaccinated against pneumococcal disease |
90 |
24.7–74.0 |
48.6–79.9 |
47.6–83.1 |
19–2 |
Reduce the proportion of adults aged ≥20 years who are obese (BMI ≥30) |
15 |
22.1–35.0 |
17.1–42.1 |
13.3–42.1 |
21–4 |
Reduce the proportion of older adults who have had all their natural teeth extracted§§ |
<22** |
7.4–36.0 |
4.8–34.8 |
2.4–39.3 |
21–10 |
Increase the proportion of children and adults who use the oral health care system each year |
56 |
57.2–81.7 |
47.1–83.5 |
47.1–88.2 |
27–1a |
Reduce the proportion of adults aged ≥18 years who smoke cigarettes |
12 |
5.8–26.8 |
5.8–28.5 |
5.9–29.8 |
Abbreviation: BMI = body mass index. Source: US Department of Health and Human Services. Healthy People 2010: understanding and improving health. Washington, DC: US Department of Health and Human Services; 2000. * Certain objective may differ slightly from BRFSS definitions. BRFSS prevalence estimates are not age adjusted. † Selected metropolitan and micropolitan statistical areas. § Selected counties within the MMSAs for which data were available. ¶ Baseline measured insurance coverage among persons aged <65 years, Based on 1997 National Health Interview Survey (NHIS) data. ** Revised targets. Source: Atlanta, GA; US Department of Health and Human Services, CDC; 2010. Available at http://wonder.cdc.gov/data2010. †† Revised subobjective to include protoscopy and colonoscopy as well as sigmoidoscopy. BRFSS measured sigmoidoscopy and colonoscopy. §§ Baseline was 26 for adults aged 65–74 years who have had all their natural teeth extracted. Based on 1997 NHIS data. BRFSS data are for all adults aged ≥65 years. |
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