Dataset

500 Cities: Local Data for Better Health, 2016 release

cdc.9z78-nsfp
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About

This is the complete dataset for the 500 Cities project 2016 release. This dataset includes 2013, 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 (2013, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates. More information about the methodology can be found at www.cdc.gov/500cities. Note: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.

Cite as: Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health. 500 Cities: Local Data for Better Health, 2016 release. https://data.cdc.gov/d/9z78-nsfp

Publisher
Centers for Disease Control and Prevention
Tier
Official
Covers
not stated
Places
United States
Updated
irregular
Last modified
2018-10-11
Units
not stated
License
Public domain
Method
http://www.cdc.gov/nccdphp/dph/

Columns

NameTypeDescription
geolocation_addresstext
short_question_texttextMeasure short name
tractfipstextFIPS code
categoryidtextIdentifier for Topic/Category
geolocationpointLatitude, longitude of city or census tract centroid
population2010numberPopulation count from census 2010
low_confidence_limitnumberLow Confidence Limit
data_value_footnote_symboltextFootnote Symbol
data_valuenumberData Value, such as 14.7
data_value_unittextThe data value unit, such as "%" for percentage
geolocation_citytext
geolocation_statetext
geolocation_ziptext
yearnumberYear
stateabbrtextState abbreviation
geographicleveltextIdentifies either City Level or Tract Level
datasourcetextData Source
categorytextTopic
measuretextMeasure full name
data_value_typetextThe data type, such as age-adjusted prevalence or crude prevalence
cityfipstextFIPS code
measureidtextMeasure Identifier
high_confidence_limitnumberHigh Confidence Limit
data_value_footnotetextFootnote Text
datavaluetypeidtextIdentifier for the data value type
uniqueidtextAt city-level, it is the FIPS code of CityFIPS. For tract-level data, it is a combined ID of CityFIPS and TractFIPS for tracts within the respective city with the exception of Honolulu, which only uses TractFIPS
citynametextCity name
statedesctextState name

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