Description

This is the 500 Cities Data of a different year (released in 2018) to the ones already present on Kaggle. It was exported and uploaded without modification. The original source states: "This is the complete dataset for the 500 Cities project 2018 release. This dataset includes 2016, 2015 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. Because some questions are only asked every other year in the BRFSS, there are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) from the 2015 BRFSS that are the same in the 2018 release as the previous 2017 release. More information about the methodology can be found at www.cdc.gov/500cities."

The original can be found at: https://chronicdata.cdc.gov/500-Cities-Places/500-Cities-Local-Data-for-Better-Health-2018-relea/rja3-32tc

The 500 Cities project ran from 2016 to 2019. In December of 2020, this was expanded into and replaced by the PLACES project.

Content

This dataset contains data for the US, 500 cities within it (the 497 largest cities of the US, then a few that were the largest of their state in order to ensure all states were represented), and the census tracts within those cities. The total population represents about 33.4% of the US population.

Measures include:

• "Current lack of health insurance among adults aged 18–64 Years,"
• "Visits to doctor for routine checkup within the past Year among adults aged >=18 Years,"
• "Fecal occult blood test, sigmoidoscopy, or colonoscopy among adults aged 50–75 Years,"
• "Mammography use among women aged 50–74 Years,"
• "Visits to dentist or dental clinic among adults aged >=18 Years,"
• "Cholesterol screening among adults aged >=18 Years,"
• "Older adult men aged >=65 Years who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening,"
• "Older adult women aged >=65 Years who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening,"
• "Papanicolaou smear use among adult women aged 21–65 Years."
• "No leisure-time physical activity among adults aged >=18 Years"
• "Sleeping less than 7 hours among adults aged >=18 Years"
• "Binge drinking among adults aged >=18 Years"
• "Current smoking among adults aged >=18 Years"
• "Physical health not good for >=14 days among adults aged >=18 Years"
• "Mental health not good for >=14 days among adults aged >=18 Years"
• "High blood pressure among adults aged >=18 Years"
• "Arthritis among adults aged >=18 Years"
• "Stroke among adults aged >=18 Years"
• "Obesity among adults aged >=18 Years"
• "All teeth lost among adults aged >=65 Years"
• "Diagnosed diabetes among adults aged >=18 Years"
• "Cancer (excluding skin cancer) among adults aged >=18 Years"
• "Chronic obstructive pulmonary disease among adults aged >=18 Years"
• "Coronary heart disease among adults aged >=18 Years"
• "Current asthma among adults aged >=18 Years"
• "Chronic kidney disease among adults aged >=18 Years"
• "Taking medicine for high blood pressure control among adults aged >=18 Years with high blood pressure"
• "High cholesterol among adults aged >=18 Years who have been screened in the past 5 Years"

Inspiration

Please help this dataset reveal more by investigating anything that captures your attention, but for ideas, consider:

• Does the state or region play a role in any of the measures?
• Can you build a model to predict any of the measures?
• Combining this data with the other years posted on Kaggle to determine how the measures have changed over time.
• How much do measures vary across different parts of a city?

Acknowledgements and Appreciation

• The Center for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch
• The Robert Wood Johnson Foundation (RWJF)
• The CDC Foundation
• Image: Photo by Andrea Cau on Unsplash
• Those on Kaggle and elsewhere who help create a better understanding of this data