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CDC 500 Cities: Disease & Wellness in 500 Largest US Cities - logo

CDC 500 Cities: Disease & Wellness in 500 Largest US Cities

This is the dataset for the 500 Cities project 2018 release, by zip code. This dataset includes 2016, 2015 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors, health outcomes, and use of preventive services.
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About

## **Product Description**

This is the dataset for the 500 Cities project 2018 release, by zip code. This dataset includes 2016, 2015 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors, health outcomes, and use of preventive services. 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.

## **Key Fields**

* Zip code

* Category of fields: health outcomes (e.g. Stroke)

* Category of fields: unhealthy behaviors (e.g. Smoking)

* Category of fields: preventive services (e.g. Checkup)

## **Applications**

* Identify health problems / wellness trends by geography

* Inform public health initiatives

## **Format**

CSV

## **Update Frequency**

One-time. Accessed September 2019.

## **Public Source**

<https://chronicdata.cdc.gov/500-Cities/500-Cities-Local-Data-for-Better-Health-2018-relea/6vp6-wxuq>

## **Support**

For questions, feedback, or requests please contact Enigma Public support at <enigma-public@enigma.com>.

## **About Enigma**

Enigma is a data and technology company transforming how real-world data on companies, people, and places is accessed and applied in business-to-business workflows, via APIs built on a vast collection of public and proprietary data. Learn more at [enigma.com](http://www.enigma.com).

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