Additional open datasets and APIs provided by the Centers for Medicare & Medicaid Services

Full documentation of the data from CDC can be found at http://www.cdc.gov/brfss/annual_data/annual_2005.htm; this upload includes only a selection of columns determined by The Urban Institute

Full documentation of the data from CDC can be found at http://www.cdc.gov/brfss/annual_data/annual_2006.htm; this upload includes only a selection of columns determined by The Urban Institute

This dataset consists of county level data for 68 health tracking indicators and sub-indicators for the Prevention Agenda 2013-2017: New York State’s Health Improvement Plan. A health tracking indicator is a metric through which progress on a certain area of health improvement can be assessed. The indicators are organized by the Priority Area of the Prevention Agenda as well as the Focus Area under each Priority Area. This dataset includes tracking indicators for the five Priority Areas of the Prevention Agenda 2013-2017. Along with the name of each indicator are given the baseline year, the baseline year county value of the indicator, and the Prevention Agenda 2017 state target for the indicator. Sub-indicators are included in this dataset to measure health disparities among socioeconomic groups.For more information check out: http://www.health.ny.gov/prevention/prevention_agenda/2013-2017/ or go to the “about” tab.

The County Health Rankings team synthesizes health information from a variety of national data sources to create the Rankings. Most of the data we use are public data available at no charge. Measures based on vital statistics data, sexually transmitted disease rates, and Behavioral Risk Factor Surveillance System (BRFSS) survey data were calculated for us by staff at the National Center for Health Statistics and other units of the Centers for Disease Control and Prevention (CDC). The same is true for our health care quality measures, which were calculated for us by the authors of the Dartmouth Atlas of Healthcare, using Medicare claims data.

ercentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements. For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm. Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].

The County Health Rankings team synthesizes health information from a variety of national data sources to create the Rankings. Most of the data we use are public data available at no charge. Measures based on vital statistics data, sexually transmitted disease rates, and Behavioral Risk Factor Surveillance System (BRFSS) survey data were calculated for us by staff at the National Center for Health Statistics and other units of the Centers for Disease Control and Prevention (CDC). The same is true for our health care quality measures, which were calculated for us by the authors of the Dartmouth Atlas of Healthcare, using Medicare claims data.

Reported Foreclosures in Saint Louis County 2007-2010

The Student Weight Status Category Reporting System (SWSCR) collects weight status category data (underweight, healthy weight, overweight or obese, based on BMI-for-age percentile). The dataset includes separate estimates of the percent of students overweight, obese and overweight or obese for all reportable grades within the county and/or region and by grade groups (elementary and middle/high). The rates of overweight and obesity reported are percentages based on counts of students in selected grades (Pre-K, K, 2, 4, 7, 10) reported to the NYSDOH. Because these rates reflect a broad range of factors that vary by school district, to make comparisons about observed differences in the rates of obesity and overweight between school districts requires the use of multivariate statistics. For more information check out http://www.health.ny.gov/prevention/obesity/, see our Instruction Guide on How to Create Visualizations https://health.data.ny.gov/api/assets/6490BDA9-AE4D-406F-BA5A-703793526B9F or go to the "About" tab.