Depression (Medicare Population)

This indicator reports the percentage of the Medicare fee-for-service population with depression.
Report Area Total Medicare Beneficiaries Beneficiaries with Depression Percent with Depression
Franklin County, PA 23,354 3,789 16.2%
Pennsylvania 1,381,208 245,323 17.8%
United States 34,118,227 5,695,629 16.7%
Note: This indicator is compared with the state average. Green - Better than state average, Red - Worse than state average.
Data Source: Centers for Medicare and Medicaid Services. 2015. Source geography: County
Percentage of Medicare Population with Depression by Year, 2010 through 2015
Report Area 2010 2011 2012 2013 2014 2015
Franklin County, PA 13.3% 15.2% 16% 16.6% 16.8% 16.2%
Pennsylvania 14.8% 15.9% 16.2% 16.7% 17.2% 17.8%
United States 14% 15% 15.5% 15.9% 16.2% 16.7%

Website Updated December 11 2017 Site Reviewed January 05 2018

Depression (Medicare Population)

Data Background

The Centers for Medicare & Medicaid Services (CMS), a branch of the Department of Health and Human Services (HHS), is the federal agency that runs the Medicare Program and monitors Medicaid programs offered by each state. Medicare is a type of federally-funded health insurance available to disabled persons and the population age 65 and older. CMS provides various data on the Medicare population based on claims and enrollment data.


Indicator percentages are acquired for 2007 - 2015 from Centers for Medicare and Medicaid Services (CMS) Chronic Conditions Warehouse. The data used in the chronic condition reports are based upon CMS administrative enrollment and claims data for Medicare beneficiaries enrolled in the fee-for-service program. Beneficiaries who died during the year are included up to their date of death if they meet the other inclusion criteria. Chronic condition prevalence estimates are calculated by CMS by taking the beneficiaries with a particular condition divided by the total number of beneficiaries in our fee-for-service population, expressed as a percentage. For more information and to view the original data, please visit the CMS Chronic Conditions web page.

Courtesy: Community Commons, <>, December 2017