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Alcohol-Related Disease Impact
Filtered View
ARDI is an online application that provides national and state estimates of alcohol-related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 58 acute and chronic causes using alcohol-attributable fractions, and are reported by age and sex for 2015-2019. This dataset provides estimates of the proportion of deaths from various causes that are attributable to alcohol.
Tags aad aaf alcohol alcohol-related disease impact ypll
API Docs
Created
March 11 2022
Views
58

Alcohol-Related Disease Impact
Filtered View
ARDI is an online application that provides national and state estimates of alcohol-related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 58 acute and chronic causes using alcohol-attributable fractions, and are reported by age and sex for 2015-2019. This dataset provides estimates of the proportion of deaths from various causes that are attributable to alcohol.
Tags aad aaf alcohol alcohol-related disease impact ypll
API Docs
Created
March 11 2022
Views
37

Alcohol-Related Disease Impact
Filtered View
ARDI is an online application that provides national and state estimates of alcohol-related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 58 acute and chronic causes using alcohol-attributable fractions, and are reported by age and sex for 2015-2019. This dataset provides estimates of the proportion of deaths from various causes that are attributable to alcohol.
Tags aad aaf alcohol alcohol-related disease impact ypll
API Docs
Created
March 10 2022
Views
37

Alcohol-Related Disease Impact
Filtered View
ARDI is an online application that provides national and state estimates of alcohol-related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 58 acute and chronic causes using alcohol-attributable fractions, and are reported by age and sex for 2015-2019. This dataset provides estimates of the proportion of deaths from various causes that are attributable to alcohol.
Tags aad aaf alcohol alcohol-related disease impact ypll
API Docs
Created
March 10 2022
Views
35

Alcohol-Related Disease Impact
Filtered View
ARDI is an online application that provides national and state estimates of alcohol-related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 58 acute and chronic causes using alcohol-attributable fractions, and are reported by age and sex for 2015-2019. This estimates the total number of deaths attributable to alcohol.
Tags aad aaf alcohol alcohol-related disease impact ypll
API Docs
Created
March 10 2022
Views
45

Alcohol-Related Disease Impact
Filtered View
ARDI is an online application that provides national and state estimates of alcohol-related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 58 acute and chronic causes using alcohol-attributable fractions, and are reported by age and sex for 2015-2019. This estimates the total number of deaths attributable to alcohol.
Tags aad aaf alcohol alcohol-related disease impact ypll
API Docs
Created
March 10 2022
Views
40

Heart Disease & Stroke Prevention
Dataset
This dataset documents rates and trends in heart disease and stroke mortality. Specifically, this report presents county (or county equivalent) estimates of heart disease and stroke death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35–64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (women, men). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.
Tags cardiovascular cardiovascular disease counties county heart and 2 more
API Docs
Created
February 18 2022
Views
238

Heart Disease & Stroke Prevention
Dataset
This dataset documents rates and trends in local hypertension-related cardiovascular disease (CVD) death rates. Specifically, this report presents county (or county equivalent) estimates of hypertension-related CVD death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35–64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (female, male). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.
Tags cardiovascular cardiovascular disease counties county heart and 1 more
API Docs
Created
February 8 2022
Views
378

Alcohol-Related Disease Impact
Dataset
ARDI is an online application that provides national and state estimates of alcohol-related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 58 acute and chronic causes using alcohol-attributable fractions, and are reported by age and sex for 2015-2019. This estimates the total number of deaths attributable to alcohol.
Tags aad aaf alcohol alcohol-related disease impact ypll
API Docs
Created
December 23 2021
Views
181

Alcohol-Related Disease Impact
Dataset
ARDI is an online application that provides national and state estimates of alcohol-related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 58 acute and chronic causes using alcohol-attributable fractions, and are reported by age and sex for 2015-2019. This dataset provides estimates of the proportion of deaths from various causes that are attributable to alcohol.
Tags aad aaf alcohol alcohol-related disease impact ypll
API Docs
Created
December 23 2021
Views
150

Alcohol-Related Disease Impact
Dataset
ARDI is an online application that provides national and state estimates of alcohol-related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 58 acute and chronic causes using alcohol-attributable fractions, and are reported by age and sex for 2015-2019. This dataset provides estimates of the proportion of deaths from various causes that are attributable to alcohol.
Tags aad aaf alcohol alcohol-related disease impact ypll
API Docs
Created
December 20 2021
Views
151

500 Cities & Places
Dataset
This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project 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 Areas (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. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 27 measures at the ZCTA level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.
Tags behaviors gis outcomes places prevalence and 4 more
API Docs
Created
September 29 2021
Views
1,004

500 Cities & Places
Dataset
This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release. The PLACES project 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 Areas (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. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. 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 model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.
Tags behaviors brfss city outcomes place and 4 more
API Docs
Created
September 29 2021
Views
999

500 Cities & Places
Dataset
This dataset contains model-based county-level estimates for the PLACES project 2020 release. The PLACES project 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 Areas (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. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. 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 model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.
Tags behaviors brfss county outcomes places and 3 more
API Docs
Created
September 29 2021
Views
632

500 Cities & Places
Dataset
This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project 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 Areas (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. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 27 measures at the place level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.
Tags behaviors city gis outcomes place and 4 more
API Docs
Created
September 29 2021
Views
259

500 Cities & Places
Dataset
This dataset contains model-based county-level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project 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 Areas (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. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 27 measures at the county level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.
Tags behaviors county gis outcomes places and 3 more
API Docs
Created
September 29 2021
Views
535

500 Cities & Places
Dataset
This dataset contains model-based census tract level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project 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 Areas (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. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 27 measures at the census tract level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.
Tags behaviors census tract gis outcomes places and 3 more
API Docs
Created
September 29 2021
Views
671

500 Cities & Places
Dataset
This dataset contains model-based census tract-level estimates for the PLACES project 2020 release. The PLACES project 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 Areas (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. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. 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 model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.
Tags behaviors brfss census tract outcomes places and 3 more
API Docs
Created
September 29 2021
Views
396

500 Cities & Places
Dataset
This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release. The PLACES project 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 Areas (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. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. 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 model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.
Tags behaviors brfss outcomes places prevalence and 4 more
API Docs
Created
September 29 2021
Views
290

Vision & Eye Health
Filtered View
2017. This dataset contains estimates of the prevalence of visual acuity loss and visual acuity blindness in the United States in 2017. These estimates are created using a Bayesian meta-analytic modeling approach that combines information from multiple, disparate data sources to produce comprehensive predictions of prevalence by age, race, sex and geography. The vision loss prevalence estimates represent best-corrected visual acuity in the better-seeing eye. 'Any vision loss' represents any impairment or blindness of 20/40 or worse; 'US-defined blindness' refers to the subset of vision loss that is 20/200 or worse; 'Visual impairment' refers to the subset with visual acuity of 20/40 to <20/200.
Data sources include the National Health and Nutrition Examination Survey (reference values), the American Community Survey, the National Survey of Childrens Health, and published examination study results from the Baltimore Pediatric Eye Disease Study, the Chinese American Eye Study, the Eye Diseases Prevalence Research Group, the Los Angeles Latino Eye Study and the Multi-Ethnic Study of Atherosclerosis Cohort.
Tags blind blindness prevalence vision visual
API Docs
Created
June 16 2021
Views
342

Heart Disease & Stroke Prevention
Dataset
2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by gender and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke http://www.cdc.gov/dhdsp/maps/atlas
Tags cardiovascular cardiovascular disease cerebrovascular disease counties county and 1 more
API Docs
Created
May 14 2021
Views
611

Heart Disease & Stroke Prevention
Dataset
2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by gender and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke http://www.cdc.gov/dhdsp/maps/atlas
Tags cardiovascular cardiovascular disease counties county heart and 1 more
API Docs
Created
May 14 2021
Views
1,141

Vision & Eye Health
Dataset
2017. This dataset contains estimates of the prevalence of visual acuity loss and visual acuity blindness in the United States in 2017. These estimates are created using a Bayesian meta-analytic modeling approach that combines information from multiple, disparate data sources to produce comprehensive predictions of prevalence by age, race, sex and geography. The vision loss prevalence estimates represent best-corrected visual acuity in the better-seeing eye. 'Any vision loss' represents any impairment or blindness of 20/40 or worse; 'US-defined blindness' refers to the subset of vision loss that is 20/200 or worse; 'Visual impairment' refers to the subset with visual acuity of 20/40 to <20/200.
Data sources include the National Health and Nutrition Examination Survey (reference values), the American Community Survey, the National Survey of Childrens Health, and published examination study results from the Baltimore Pediatric Eye Disease Study, the Chinese American Eye Study, the Eye Diseases Prevalence Research Group, the Los Angeles Latino Eye Study and the Multi-Ethnic Study of Atherosclerosis Cohort.
Tags blind blindness prevalence vision visual
API Docs
Created
March 25 2021
Views
537

Heart Disease & Stroke Prevention
Dataset
This dataset documents rates and trends in local coronary heart disease (CHD) and stroke death rates. Specifically, this report presents county (or county equivalent) estimates of stroke and CHD death rates in 1999-2018 and trends during three intervals (1999-2005, 2005-2011, 2011-2018) by age group (ages 35–64 and 65 and older). The rates and trends were estimated using a Bayesian spatiotempotal model and a smoothed over space, time, and age group. Rates are age-standardized. Data source: National Vital Statistics System.
Tags cardiovascular cardiovascular disease cerebrovascular disease coronary heart disease counties and 3 more
API Docs
Created
March 3 2021
Views
1,647

500 Cities & Places
Dataset
This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release in GIS-friendly format. 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. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 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 data because the relevant questions are only asked every other year in the BRFSS. 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
Tags behaviors gis health outcomes places and 6 more
API Docs
Created
October 20 2020
Views
9,364