Dataset Identification:
Resource Abstract:
- description: <p>This is the complete dataset for the 500 Cities project 2017 release. This dataset includes 2015, 2014
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 (2015, 2014), Census
Bureau 2010 census population data, and American Community Survey (ACS) 2011-2015, 2010-2014 estimates. Because some questions
are only asked every other year in the BRFSS, there are 7 measures from the 2014 BRFSS that are the same in the 2017 release
as the previous 2016 release. More information about the methodology can be found at <a href="http://www.cdc.gov/500cities">www.cdc.gov/500cities</a>.</p>;
abstract: <p>This is the complete dataset for the 500 Cities project 2017 release. This dataset includes 2015, 2014
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 (2015, 2014), Census
Bureau 2010 census population data, and American Community Survey (ACS) 2011-2015, 2010-2014 estimates. Because some questions
are only asked every other year in the BRFSS, there are 7 measures from the 2014 BRFSS that are the same in the 2017 release
as the previous 2016 release. More information about the methodology can be found at <a href="http://www.cdc.gov/500cities">www.cdc.gov/500cities</a>.</p>
Citation
- Title 500 Cities: Local Data for Better Health, 2017 release.
-
- creation Date
2018-06-09T14:14:08.952706
Resource language:
Processing environment:
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Metadata data stamp:
2018-08-06T19:35:51Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T19:35:51Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
-
-
- Address
-
- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:00b75595-cf20-470f-ac85-3ab9f002da07
Metadata record format is ISO19139 XML (MD_Metadata)