Morbidity Adult diabetes (percent)
|US Median: 8.1|
|1||Yuba, CA||7.2||4.5 - 11.4|
|2||Dakota, NE||8.4||7.1 - 10.0|
|3||Dona Ana, NM||8.5||7.7 - 9.3|
|4||Potter, TX||8.9||6.6 - 11.8|
|5||Yakima, WA||9.1||8.2 - 10.1|
|6||Sutter, CA||9.4||5.7 - 14.9|
|7||Franklin, WA||9.5||7.7 - 11.6|
|8||Merced, CA||9.6||7.0 - 13.0|
|9||Lanier, GA||10.0||5.4 - 17.7|
|10||Yuma, AZ||10.2||9.1 - 11.4|
|11||Hall, GA||10.4||8.0 - 13.2|
|12||Whitfield, GA||11.0||8.4 - 14.3|
|13||Kings, CA||11.5||8.4 - 15.6|
|14||Madera, CA||11.6||8.3 - 16.0|
|15||Cumberland, NJ||11.8||10.4 - 13.3|
|16||Ector, TX||12.3||9.4 - 16.0|
|17||Imperial, CA||12.3||9.3 - 16.1|
|18||Webb, TX||14.1||11.4 - 17.3|
NA - Not Available
Diabetes affects an estimated 23.6 million people in the United States and is the 7th leading cause of death. Diabetes lowers life expectancy by up to 15 years and increases the risk of heart disease by 2 to 4 times. Diabetes is the leading cause of kidney failure, lower limb amputations, and adult-onset blindness. In addition to these human costs, the estimated total financial cost of diabetes in the United States in 2007 was $174 billion, which includes the costs of medical care, disability, and premature death.
CITATION: U.S. Department of Health and Human Services. Office of Disease Prevention and Health Promotion. Healthy People 2020. Washington, DC. Available at http://www.healthypeople.gov
Percent of adults that report having been diagnosed as having diabetes
Sample respondents age 20+ who report being told they have diabetes.
Sample respondents age 20+ with valid response for diabetes question.
The prevalence of diagnosed diabetes was estimated for adults age 20 and over, using data from CDC's Behavioral Risk Factor Surveillance System (BRFSS), and data from the U.S. Census Bureau’s Population Estimates Program. Respondents were considered to have diabetes if they responded "yes" to the question, "Has a doctor ever told you that you have diabetes?"
The county-level estimates using modern small area estimation techniques. This approach employs a statistical model that “borrows strength” in making an estimate for one county from BRFSS data collected in other counties. Three years of data were used to improve the precision of the year-specific county-level estimates of diagnosed diabetes.
For all years, rates were age adjusted by calculating age specific rates for the following three age groups, 20–44, 45–64, 65+. A weighted sum based on the distribution of these three age groups from the 2000 census was then used to adjust the rates by age.
CITATION: More information on the methodology can be found at http://www.cdc.gov/diabetes/atlas/countydata/County_Methods.html#countylevelestimates
National Center for Chronic Disease Prevention and Health Promotion, Division of Diabetes Translation. Diabetes Interactive Atlas