PLACES: Local Data for Better Health, Census Tract Data 2021 release | Last Updated 1 Dec 2021

This dataset contains model-based census tract-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out 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 model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015–019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at

Tags: places, census tract, brfss, prevalence, risk, behaviors, outcomes, prevention, health, status

This dataset has the following 23 columns:

Column NameAPI Column NameData TypeDescriptionSample Values
StateAbbrstateabbrtextState abbreviation
StateDescstatedesctextState Name
CountyNamecountynametextCounty name
CountyFIPScountyfipstextCounty FIPS code
LocationNamelocationnametextTract FIPS code
DataSourcedatasourcetextData source
MeasuremeasuretextMeasure full name
Data_Value_Unitdata_value_unittextThe data value unit, such as "%" for percentage
Data_Value_Typedata_value_typetextThe data type, such as age-adjusted prevalence or crude prevalence
Data_Valuedata_valuenumberData Value, such as 14.7
Data_Value_Footnote_Symboldata_value_footnote_symboltextFootnote symbol
Data_Value_Footnotedata_value_footnotetextFootnote text
Low_Confidence_Limitlow_confidence_limitnumberLow confidence limit
High_Confidence_Limithigh_confidence_limitnumberHigh confidence limit
TotalPopulationtotalpopulationnumberTotal population of Census 2019
GeolocationgeolocationpointLatitude, Longitude of city centroid (Format: Point(Longitude Latitude))
LocationIDlocationidtextCensus tract FIPS
CategoryIDcategoryidtextIdentifier for Topic/Category
MeasureIdmeasureidtextMeasure identifier
DataValueTypeIDdatavaluetypeidtextIdentifier for the data value type
Short_Question_Textshort_question_texttextMeasure short name