Note: This data was created by the Center for Disease Control, not the City of Rochester. This map is zoomed in to show the CDC data at the census tract level. You can zoom out to see data for all 500 cities in the data set. This map has been built to symbolize the percentage of adults who, in 2017, had a body mass index (BMI) at/above 30.0, classifying them as obese according to self-reported data on their height on weight. However, if you click on a census tract, you can see statistics for the other public health statistics mentioned below in the "Overview of the Data" section.Overview of the Data: This service provides the 2019 release for the 500 Cities Project, based on data from 2017 or 2016 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). Twenty measures are based on 2017 Behavioral Risk Factor Surveillance System (BRFSS) model estimates. Seven measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) kept 2016 model estimates, since those questions are only asked in even years. 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 were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Data sources used to generate these measures include BRFSS data (2017 or 2016), Census Bureau 2010 census population data, and American Community Survey (ACS) 2013-2017 or 2012-2016 estimates. For more information about the methodology, visit https://www.cdc.gov/500cities or contact 500Cities@cdc.gov.

This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.

This web map is part of the Centers for Disease Control and Prevention (CDC) PLACES. It provides model-based estimates of obesity prevalence among adults aged 18 years and old at county, place, census tract and ZCTA levels in the United States. PLACES is an expansion of the original 500 Cities Project and a collaboration between the CDC, the Robert Wood Johnson Foundation, and the CDC Foundation. Data sources used to generate these estimates include the Behavioral Risk Factor Surveillance System (BRFSS), Census 2020 population counts or Census annual county-level population estimates, and the American Community Survey (ACS) estimates. For detailed methodology see www.cdc.gov/places. For questions or feedback send an email to places@cdc.gov.Measure name used for obesity is OBESITY.

This map shows where obesity and diabetes are happening in the US, by county. It shows each component of the map as its own layer, and also shows the patterns overlapping. Diabetes prevalence (% of adults)Obesity prevalence (% of adults)This data can be used to assess the health factors, and answer questions such as:Are certain counties more/less at risk in regards to diabetes and obesity?Are diabetes, obesity, and physical inactivity happening within the same areas of the US?According to the CDC: "These data can help the public to better use existing resources for diabetes management and prevention efforts." The data comes from the Behavioral Risk Factor Surveillance System (BRFSS) through the Centers for Disease Control and Prevention (CDC), and the data vintage is 2013. To explore other county indicators, different vintages, or the original data, click here. To view the interactive map through the CDC website, click here. To learn more about the methodology of how county-level estimates are calculated, see this PDF.

Overview: This dataset combines publicly available data on obesity rates, poverty rates, and median household income for all 50 U.S. states from 2019 to 2023. It also includes calculated regional averages based on U.S. Census Bureau-defined regions (Northeast, Midwest, South, and West).

Use Cases - Public health research - Data visualization projects - Socioeconomic analysis - ML models exploring health + income

Sources - CDC BRFSS – Adult Obesity Prevalence Maps (2019–2023) - U.S. Census Bureau – SAIPE Datasets (2019–2023)

Tableau Dashboard View the interactive Tableau dashboard:
https://public.tableau.com/app/profile/geo.montes/viz/ObesityPovertyandIncomeintheU_S_2019-2023/Dashboard1#2

Created by Geo Montes, Informatics major at UT Austin

description:

This dataset includes data on adolescent's diet, physical activity, and weight status from Youth Risk Behavior Surveillance System (YRBSS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about YRBSS visit https://www.cdc.gov/healthyyouth/data/yrbs/index.htm.

This dataset includes data on adolescent's diet, physical activity, and weight status from Youth Risk Behavior Surveillance System (YRBSS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about YRBSS visit https://www.cdc.gov/healthyyouth/data/yrbs/index.htm.

State of Illinois Obesity Percentages by County. Explanation of field attributes: Obesity - The percent of each Illinois county’s population that is considered obese from the 2015 CDC BRFSS Survey.

This map includes layers from ACS and CDC. ACS updates poverty status annually. The CDC tract-level data are represented as location points. They are part of the "500 cities project."

description:

This dataset includes breastfeeding data from the National Immunization Survey (NIS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about breastfeeding and NIS visit https://www.cdc.gov/breastfeeding/data/nis_data/index.htm.

This dataset includes breastfeeding data from the National Immunization Survey (NIS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about breastfeeding and NIS visit https://www.cdc.gov/breastfeeding/data/nis_data/index.htm.

description:

This dataset includes select data from the U.S. Census Bureau's American Community Survey (ACS) on the percent of adults who bike or walk to work. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about ACS visit https://www.census.gov/programs-surveys/acs/.

This dataset includes select data from the U.S. Census Bureau's American Community Survey (ACS) on the percent of adults who bike or walk to work. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about ACS visit https://www.census.gov/programs-surveys/acs/.

The prevalence of obesity in the United States has risen gradually over the past decade. As of 2023, around ** percent of the population aged 18 years and older was obese. Obesity is a growing problem in many parts of the world, but is particularly troubling in the United States. Obesity in the United States The states with the highest prevalence of obesity are West Virginia, Mississippi, and Arkansas. As of 2023, a shocking ** percent of the population in West Virginia were obese. The percentage of adults aged 65 years and older who are obese has grown in recent years, compounding health issues that develop with age. Health impacts of obesity Obesity is linked to several negative health impacts including cardiovascular disease, diabetes, and certain types of cancer. Unsurprisingly, the prevalence of diagnosed diabetes has increased in the United States over the years. As of 2022, around *** percent of the population had been diagnosed with diabetes. Some of the most common types of cancers caused by obesity include breast cancer in postmenopausal women, colon and rectum cancer, and corpus and uterus cancer.

This map features new data from the US CDC, mapping Behavioral Risk Factors Survey Data at the Census Tract level for the first time.For more info, see the CDC webpage on Chronic Disease and Health Promotion Data & Indicators: https://chronicdata.cdc.gov/health-area/behavioral-risk-factors.NMCDC has built the feature service that runs this map and made it available for sharing on your own AGOL map. It contains 27 adult behavioral risk factors for 206 census tracts in NM's four major cities (Albuquerque, Rio Rancho, Santa Fe and Las Cruces). Feature service information at - http://nmcdc.maps.arcgis.com/home/item.html?id=bd74a088596e48358b22ae76a32a2631#overview "The purpose of the 500 Cities Project is to provide city- and census tract-level small area estimates for chronic disease risk factors, health outcomes, and clinical preventive service use for the largest 500 cities in the United States. These small area estimates will allow cities and local health departments to better understand the burden and geographic distribution of health-related variables in their jurisdictions, and assist them in planning public health interventions. Learn more about the 500 Cities Project(https://www.cdc.gov/500cities/about.htm)."

Adjusted association of maternal age of menarche with blood pressure z-score (with reference to CDC Growth Chart) in adolescence (from 10 to 16 years) in the “Children of 1997” Birth Cohort from Hong Kong.

Chronic Disease Prevalence and Other Risk Factors from Behavioral Risk Factor Surveillance Survey (BRFSS) 2018 or 2017, Census Bureau 2010 census population or annual population estimates for county 2018 or 2017, and American Community Survey (ACS) 2014-2018 or 2013-2017Health Outcomes: arthritis, current asthma, high blood pressure, cancer (excluding skin cancer), high cholesterol, chronic kidney disease, chronic obstructive pulmonary disease (COPD), coronary heart disease, diagnosed diabetes, mental health not good for >=14 days, physical health not good for >=14 days, all teeth lost and strokePreventive Service Utilization: lack of health insurance, visits to doctor for routine checkup, visits to dentist, taking medicine for high blood pressure control, cholesterol screening, mammography use for women, cervical cancer screening for women, colon cancer screening, and core preventive services use for older adults (men and women)Unhealthy Behavior Risk Factors: binge drinking, current smoking, obesity, physical inactivity, and sleeping less than 7 hoursSee original CDC Project map for PLACES (Population Level Analysis and Community Estimates) here.PLACES expands the original 500 Cities project and is a collaboration between the CDC, the Robert Wood Johnson Foundation (RWJF), and the CDC Foundation (CDCF)

BMI data is obtained from each systems’ electronic health record and combined into one database managed by the Colorado Department of Public Health and Environment. These data represent individuals who presented for routine care at one of the participating health care organizations, and had a valid height and weight measured. Overweight and obesity prevalence estimates are available for the 7 metro Denver counties, and for rural Prowers County. Estimates generated from the Colorado BMI Monitoring System may be linked with other data sources to identify contributory social and environmental factors.This feature layer represents childhood/youth obesity estimates only.DefinitionsCoverage: The total number of individuals in the BMI Monitoring System with a valid BMI divided by the total estimated population from the American Community Survey Population and Demographic Estimates produced by the US Census Bureau in the specified geographic area and age group.Obesity Children/Youth: BMI is calculated from height and weight and plotted on the Centers for Disease Control and Prevention (CDC) male or female BMI-for-age growth chart to determine a percentile. Obesity is defined as a BMI at the 95th percentile or higher.Obesity Prevalence Estimates: Percentage of individuals with obesity based upon the total number of individuals with obesity in the specified geographic area and age group divided by the total number of valid BMI measurements in the same specified geographic area and age group.

Each year since 2008, Nurses at Albuquerque Public Schools weigh and measure over 20,000 children. The Department of Health Albuquerque Regional Office of Community Assessment processes, maps and promotes the use of the data to assist prevention efforts.With the exception of 6 middle schools, 8th graders were not measured during school year 2012-13. Data on 8th graders can be found in previous years of the Healthy Weight Assessment Project.SEE THE PEER-REVIEWED JOURNAL ARTICLE PUBLISHED BY THE CDC IN 2016:Trends in Early Childhood Obesity in a Large Urban School District in the Southwestern United States, 2007–2014SEE A PRESENTATION ON THIS PROJECT BY ANDREA CANTARERO: NMPHA 2014 HWAPSEE THE DETAILED INTERACTIVE MAP OF THE 2011 ELEMENTARY SCHOOL RESULTS: http://nmcdc.maps.arcgis.com/home/webmap/viewer.html?webmap=674e52520bde40ec8d2c320fa2019452AND THE DETAILED INTERACTIVE MAP OF THE 2010 RESULTS: http://nmcdc.maps.arcgis.com/home/webmap/viewer.html?webmap=d627350d3419429eb60bd5f8cf0261b3 The Healthy Weight Assessment Project 2011 Report to the APS School Board can be found at http://nmcdc.maps.arcgis.com/home/item.html?id=f560079f38af4e46972ae7f1e5f1f49e

Chronic Disease Prevalence and Other Risk Factors from Behavioral Risk Factor Surveillance Survey (BRFSS) 2018 or 2017, Census Bureau 2010 census population or annual population estimates for county 2018 or 2017, and American Community Survey (ACS) 2014-2018 or 2013-2017Health Outcomes: arthritis, current asthma, high blood pressure, cancer (excluding skin cancer), high cholesterol, chronic kidney disease, chronic obstructive pulmonary disease (COPD), coronary heart disease, diagnosed diabetes, mental health not good for >=14 days, physical health not good for >=14 days, all teeth lost and strokePreventive Service Utilization: lack of health insurance, visits to doctor for routine checkup, visits to dentist, taking medicine for high blood pressure control, cholesterol screening, mammography use for women, cervical cancer screening for women, colon cancer screening, and core preventive services use for older adults (men and women)Unhealthy Behavior Risk Factors: binge drinking, current smoking, obesity, physical inactivity, and sleeping less than 7 hoursSee original CDC Project map for PLACES (Population Level Analysis and Community Estimates) here.PLACES expands the original 500 Cities project and is a collaboration between the CDC, the Robert Wood Johnson Foundation (RWJF), and the CDC Foundation (CDCF)

"The poverty rate is one of several socioeconomic indicators used by policy makers to evaluate economic conditions. It measures the percentage of people whose income fell below the poverty threshold. Federal and state governments use such estimates to allocate funds to local funds to local communities. Local communities use these estimates to identify the number of individuals or families eligible for various programs. " Source: U.S. Census Bureau.The map shows the poverty ratio for states, counties, tracts and block groups, with the data source from the U.S. Census Bureau's American Community Survey (ACS) for 2013 for the previous 12 months. The percent of each Illinois county’s population that is considered obese from the 2015 CDC BRFSS Survey (Source, Lake County Illinois).