Obesity (adults)

29.6% of adults aged 20 and older self-report that they have a Body Mass Index (BMI) greater than 30.0 (obese) in the report area. Excess weight may indicate an unhealthy lifestyle and puts individuals at risk for further health issues.
Report Area Total Population Age 20+ Adults with BMI > 30.0
Percent Adults with BMI > 30.0 (Obese)
Franklin County, PA 113,404 36,516 31.8%
Pennsylvania 9,696,134 2,844,376 29%
United States 234,188,203 64,884,915 27.5%
Note: This indicator is compared with the state average. Green - Better than state average, Red - Worse than state average.
Data Source: Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion. 2013. Source geography: County

Adults Obese (BMI > 30.0) by Gender
Report Area Total Males Obese Percent Males Obese Total Females Obese Percent Females Obese
Franklin County, PA 17,777 32.1% 18,739 31.6%
Pennsylvania 1,401,512 29.67% 1,442,867 28.19%
United States 32,051,606 27.92% 32,833,321 27.06%
Percent Adults Obese (BMI > 30.0) by Year, 2004 through 2012
Report Area 2004 2005 2006 2007 2008 2009 2010 2011 2012
Franklin County, PA 26.1% 26.15% 27.1% 27% 29.3% 31.1% 32% 31.8% 29.6%
Pennsylvania 24.23% 24.53% 25.66% 26.88% 27.88% 28.82% 28.37% 28.35% 28.36%
United States 23.07% 23.79% 24.82% 25.64% 26.36% 27.35% 27.29% 27.19% 27.14%
Website Updated December 11 2017 Site Reviewed January 05 2018


Data Background

The Centers for Disease Control and Prevention’s National Center for Chronic Disease Prevention and Health Promotion monitors the health of the Nation and produces publically available data to promote general health. The division maintains the Diabetes Data and Trends data system, which includes the National Diabetes Fact Sheet and the National Diabetes Surveillance System. These programs provide resources documenting the public health burden of diabetes and its complications in the United States. The surveillance system also includes county-level estimates of diagnosed diabetes and selected risk factors for all U.S. counties to help target and optimize the resources for diabetes control and prevention.

Citation: Centers for Disease Control and Prevention, Diabetes Data & Trends: Frequently Asked Questions (FAQ). (2012).


Data for total population and estimated obese population data are acquired from the County Level Estimates of Diagnosed Diabetes, a service of the Centers for Disease Control and Prevention’s National Diabetes Surveillance Program. Diabetes and other risk factor prevalence is estimated using the following formula:

Percent Prevalence = [Risk Factor Population] / [Total Population] * 100.

All data are estimates modelled by the CDC using the methods described below:

The National Diabetes Surveillance system produces data estimating the prevalence of diagnosed diabetes and population obesity by county using data from CDC's Behavioral Risk Factor Surveillance System (BRFSS) and data from the U.S. Census Bureau’s Population Estimates Program. The BRFSS is an ongoing, monthly, state-based telephone survey of the adult population. The survey provides state-specific information on behavioral risk factors and preventive health practices. Respondents were considered to have diabetes if they responded "yes" to the question, "Has a doctor ever told you that you have diabetes?" Women who indicated that they only had diabetes during pregnancy were not considered to have diabetes. Respondents were considered obese if their body mass index was 30 or greater. Body mass index (weight [kg]/height [m]2) was derived from self-report of height and weight. Respondents were considered to be physically inactive if they answered "no" to the question, "During the past month, other than your regular job, did you participate in any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise?"

Three years of data were used to improve the precision of the year-specific county-level estimates of diagnosed diabetes and selected risk factors. For example, 2003, 2004, and 2005 were used for the 2004 estimate and 2004, 2005, and 2006 were used for the 2005 estimate. Estimates were restricted to adults 20 years of age or older to be consistent with population estimates from the U.S. Census Bureau. The U.S. Census Bureau provides year-specific county population estimates by demographic characteristics—age, sex, race, and Hispanic origin.

The county-level estimates were based on indirect model-dependent estimates. The model-dependent approach employs a statistical model that “borrows strength” in making an estimate for one county from BRFSS data collected in other counties. Bayesian multilevel modeling techniques were used to obtain these estimates. Separate models were developed for each of the four census regions: West, Midwest, Northeast and South. Multilevel Poisson regression models with random effects of demographic variables (age 20–44, 45–64, 65+; race; sex) at the county-level were developed. State was included as a county-level covariate.
Citation: Centers for Disease Control and Prevention, Diabetes Data & Trends: Methods and References for County-Level Estimates and Ranks. (2012).
Rates are age adjusted by the CDC for the following three age groups: 20-44, 45-64, 65+. Additional information, including the complete methodology and data definitions, can be found at the CDC’s Diabetes Data and Statistics website.


Race and Ethnicity
Statistics by race and ethnicity are not provided for this indicator from the data source. Detailed race/ethnicity data may be available at a broader geographic level, or from a local source.

Courtesy: Community Commons, <www.communitycommons.org>, November 2017