CDC - PLACES: Local Data for Better Health

This dataset contains model-based census tract-level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides 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 in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. 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) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.

Public

Methodology

Link To Data Source

https://chronicdata.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/cwsq-ngmh

Link To Storage Source

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When Was The Data Collected?

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Why Was The Data Collected?

This data was collected to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities.

Most Specific Geographic Estimate

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When Was The Data Last Updated?

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How Was The Data Collected?

More information about the methodology can be found at www.cdc.gov/places.

Who Collected The Data?

The dataset contains estimates that\were provided by the CDC, Division of Population, Health, Epidemiology and Surveillance Branch. Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year.

Who Owns The Data?

BRFSS, Census Bureau, and CDC.

Who Was Included Or Excluded From The Sample?

More information about the methodology can be found at www.cdc.gov/places.

Notes On Data Quality

More information about the methodology can be found at www.cdc.gov/places.

Notes On Data Usage Conditions

More information about the methodology can be found at www.cdc.gov/places.

How Often Is The Data Refreshed?

Annually

What Is The Sample Size?

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Analysis

Are The Variables Clearly Defined?

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Has The Data Been Disaggregated?

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Why Hasn'T The Data Been Disaggregated?

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Source Categories

Categories

Analysis

What Age Categories Are Are Represented In The Data?
  • 18 to 64
  • 65 and older
What Income Level Categories Are Represented In The Data?
  • Less than $10,000
  • $10,000 to $14,999
  • $15,000 to $24,999
  • $25,000 to $34,999
  • $35,000 to $49,999
  • $50,000 to $74,999
  • $1 to under $25,000
  • $25,000 to under $50,000
  • $50,000 to under $75,000
  • $75,000 to under $100,000
  • $100,000 to under $200,000
  • $200,000 or more
  • $75,000 to $99,999
  • $100,000 to $149,999
  • $150,000 to $199,999
  • $200,000 or more
What Other Data Could Be Used As A Comparison Point?

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Why Were These Categories Used?

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Who Selected The Categories?

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Who Is Defining The Categories?

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Who Is Defining The Categories?

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Interpretation

Associated Topics Covered
Cancer
Health
Binge Drinking
Teeth