PLACES: ZCTA Data (GIS Friendly Format), 2022 Release by US Government | Healthcare

About this Dataset

PLACES: ZCTA Data (GIS Friendly Format), 2022 Release

This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release in GIS-friendly format. 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. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 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. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7
Organization: U.S. Department of Health & Human Services
Last updated: 2023-07-12T10:39:22.197186
Tags: behaviors, gis, health, outcomes, places, prevalence, prevention, risk, status, zcta, zip-code

Tables

Table 1

@usgov.hhs_gov_places_zcta_data_gis_friendly_format_2022_release.table_1

4.87 MB
32409 rows
63 columns


CREATE TABLE table_1 (
  "zcta5" BIGINT,
  "totalpopulation" BIGINT,
  "access2_crudeprev" DOUBLE,
  "access2_crude95ci" VARCHAR,
  "arthritis_crudeprev" DOUBLE,
  "arthritis_crude95ci" VARCHAR,
  "binge_crudeprev" DOUBLE,
  "binge_crude95ci" VARCHAR,
  "bphigh_crudeprev" DOUBLE,
  "bphigh_crude95ci" VARCHAR,
  "bpmed_crudeprev" DOUBLE,
  "bpmed_crude95ci" VARCHAR,
  "cancer_crudeprev" DOUBLE,
  "cancer_crude95ci" VARCHAR,
  "casthma_crudeprev" DOUBLE,
  "casthma_crude95ci" VARCHAR,
  "cervical_crudeprev" DOUBLE,
  "cervical_crude95ci" VARCHAR,
  "chd_crudeprev" DOUBLE,
  "chd_crude95ci" VARCHAR,
  "checkup_crudeprev" DOUBLE,
  "checkup_crude95ci" VARCHAR,
  "cholscreen_crudeprev" DOUBLE,
  "cholscreen_crude95ci" VARCHAR,
  "colon_screen_crudeprev" DOUBLE,
  "colon_screen_crude95ci" VARCHAR,
  "copd_crudeprev" DOUBLE,
  "copd_crude95ci" VARCHAR,
  "corem_crudeprev" DOUBLE,
  "corem_crude95ci" VARCHAR,
  "corew_crudeprev" DOUBLE,
  "corew_crude95ci" VARCHAR,
  "csmoking_crudeprev" DOUBLE,
  "csmoking_crude95ci" VARCHAR,
  "dental_crudeprev" DOUBLE,
  "dental_crude95ci" VARCHAR,
  "depression_crudeprev" DOUBLE,
  "depression_crude95ci" VARCHAR,
  "diabetes_crudeprev" DOUBLE,
  "diabetes_crude95ci" VARCHAR,
  "ghlth_crudeprev" DOUBLE,
  "ghlth_crude95ci" VARCHAR,
  "highchol_crudeprev" DOUBLE,
  "highchol_crude95ci" VARCHAR,
  "kidney_crudeprev" DOUBLE,
  "kidney_crude95ci" VARCHAR,
  "lpa_crudeprev" DOUBLE,
  "lpa_crude95ci" VARCHAR,
  "mammouse_crudeprev" DOUBLE,
  "mammouse_crude95ci" VARCHAR,
  "mhlth_crudeprev" DOUBLE,
  "mhlth_crude95ci" VARCHAR,
  "obesity_crudeprev" DOUBLE,
  "obesity_crude95ci" VARCHAR,
  "phlth_crudeprev" DOUBLE,
  "phlth_crude95ci" VARCHAR,
  "sleep_crudeprev" DOUBLE,
  "sleep_crude95ci" VARCHAR,
  "stroke_crudeprev" DOUBLE,
  "stroke_crude95ci" VARCHAR,
  "teethlost_crudeprev" DOUBLE,
  "teethlost_crude95ci" VARCHAR,
  "geolocation" VARCHAR
);