In 2024, across all states in the United States, Utah was ranked as the healthiest state for older adults aged 65 years and above, followed by Colorado and Vermont. On the other hand, Louisiana was the unhealthiest state for older adults in the United States, ranking last on the list. The U.S. state rankings for senior citizens were created using 35 metrics from five different areas of health — social and economic issues, environmental factors, behavioral factors, clinical treatment, and health outcomes.

In 2021, the vacation rental search engine Holidu created a health score ranking with data from the CDC (Centers for Disease Control and Prevention) which shows that Vermont was the state with the highest share of people who were healthy, at 49 percent of the state's population. Meanwhile, less than 37.5 percent of Okalhoma's population was considered health.

By tapping into the perspectives of older adults and their caregivers, the University of Michigan National Poll on Healthy Aging (NPHA) helps inform the public, health care providers, policymakers, and advocates on issues related to health, health care and health policy affecting Americans 50 years of age and older. The poll is designed as a recurring, nationally representative household survey of U.S. adults, which allows assessment of issues in a timely fashion. Launched in spring 2017, the NPHA is modeled after the highly successful University of Michigan C.S. Mott Children's Hospital National Poll on Children's Health. The NPHA grew out of a strong interest in aging-related issues among many members of the University of Michigan Institute for Healthcare Policy and Innovation (IHPI), which brings together more than 600 faculty who study health, health care and the impacts of health policy. IHPI directs the poll which is sponsored by AARP and Michigan Medicine, the University of Michigan academic medical center.

This statistic depicts the results of a survey in which U.S. consumers were asked why they were not trying to live a healthier lifestyle. According to the survey, 42 percent of respondents said that there was too much conflicting information available about what they should do to improve their health.

Introduction: Ageing trajectories range from delayed ageing with extended health to accelerated ageing, with an increased risk of frailty. We evaluated the prevalence and prospective change between health states among community-dwelling European older adults. Methods: This prospective study is a secondary analysis of DO-HEALTH, a randomized trial that included adults aged 70 years and older across 5 European countries. Healthy agers (HA) fulfilled the Nurses’ Health Study healthy ageing criteria and accelerated agers were non-HA being at least pre-frail according to the Fried frailty criteria. We assessed the proportion of participants changing between health states over 4 assessments and evaluated the odds of changing to a more favourable category. To increase reliability and avoid regression to the mean, we averaged the first 2 years and compared them to the average of the last 2 years. Results: Of 2,157 participants, 12.4% were excluded for meeting both healthy ageing and pre-frailty criteria simultaneously. Among the remaining 1,889 participants (mean age 75.1 years, 60.9% female), 23.1% were initially HA, 44.4% were non-HA but not pre-frail, and 32.6% were pre-frail or frail. Subsequently, 65.3% remained in the same health state, 12.0% improved to a healthier state, and 22.8% progressed to a less advantageous state. After adjusting for sex, study centre, treatment, and body mass index, each year of age was associated with 6% lower odds of improving health states. Women had 35% higher odds than men of following a disadvantageous trajectory. Conclusion: We observed dynamic trajectories of ageing where transitioning to a healthier state became less likely with advancing age and among women.

This point map shows the locations of Creating Health Places interventions. Creating Healthy Places to Live Work and Play (CHP2LWP) is a joint five year grant (October 2010 – October 2015) of New York State Department of Health’s Division of Chronic Disease Prevention and Division of Nutrition. The Purpose of the initiative is to implement community level interventions to promote healthy lifestyles to prevent obesity and type 2 diabetes. Twenty-two communities across New York State are funded to carry out this initiative. From a list of 18 policy, systems and environmental interventions, community contractors selected a minimum four to implement. The 18 interventions are grouped into five, broad activity categories. The activities include two that are related to increasing opportunities for physical activity, two that address improving nutrition, and one that addresses both physical activity and nutrition. For more information, check out: http://www.health.ny.gov/prevention/nutrition/healthy_places.htm. The "About" tab contains additional details concerning this dataset.

Healthy Access Locator map can be used to view schools that have received a Healthier US Schools Challenge Award (HUSSC). To get started, click on Search Awards and enter your search criteria. When the information displays on the map, you can click a star for additional details or see a summary of your results below the map. You can also use the Data Layers feature to display different data layers on obesity and diabetes prevalence, SNAP Participation Rates, and SNAP Outreach Plans by states. (HUSSC Awards as of May 30, 2013).

The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. This feature layer contains 2020 County Health Rankings data for nation, state, and county levels. The Rankings are compiled using county-level measures from a variety of national and state data sources. Some example measures are:adult smokingphysical inactivityflu vaccinationschild povertydriving alone to workTo see a full list of variables, as well as their definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details. These measures are standardized and combined using scientifically-informed weights."By ranking the health of nearly every county in the nation, County Health Rankings & Roadmaps (CHR&R) illustrates how where we live affects how well and how long we live. CHR&R also shows what each of us can do to create healthier places to live, learn, work, and play – for everyone."Some new features of the 2020 Rankings data compared to previous versions:More race/ethnicity categories, including Asian/Pacific Islander and American Indian/Alaska NativeReliability flags that to flag an estimate as unreliable5 new variables: math scores, reading scores, juvenile arrests, suicides, and traffic volumeData Processing Notes:Data downloaded March 2020Slight modifications made to the source data are as follows:The string " raw value" was removed from field labels/aliases so that auto-generated legends and pop-ups would only have the measure's name, not "(measure's name) raw value" and strings such as "(%)", "rate", or "per 100,000" were added depending on the type of measure.Percentage and Prevalence fields were multiplied by 100 to make them easier to work with in the map.For demographic variables only, the word "numerator" was removed and the word "population" was added where appropriate.Fields dropped from analytic data file: yearall fields ending in "_cihigh" and "_cilow"and any variables that are not listed in the sources and years documentation.Analytic data file was then merged with state-specific ranking files so that all county rankings and subrankings are included in this layer.

In Mississippi, over seven out of ten adults were reported to be either overweight or obese in 2018, making it the leading U.S. state that year. Other prominent states, in terms of overweight and obesity, included Arkansas in fourth, Oklahoma in seventh, and Louisiana in tenth place.

Corpulence per state

When it comes to obesity, specifically, percentages were still very high for certain states. Almost forty percent of West Virginia’s population was obese in 2018. Colorado, Hawaii, and California were some of the healthier states that year, with obesity rates between 22 and 25 percent. The average for the country itself stood at just over 31 percent.

Obesity-related health problems

Being obese can lead to various health-related complications, such as diabetes and diseases of the heart. In 2017, almost 22 people per 100,000 died of diabetes mellitus in the United States. In the same year, roughly 165 per 100,000 Americans died of heart disease. While the number of deaths caused by heart disease has decreased significantly over the past sixty to seventy years, it is still one of the leading causes of death in the country.

Bodegas & Grocery Stores Receiving Recognition from Borough President's Office

Each year, bodegas and grocery stores located in and around Action Center catchment areas participate in the Shop Healthy NYC program's Retail Challenge to increase (1) availability of healthier foods, such as low-sodium canned goods, healthier snacks and deli options; (2) promotion of healthier foods by posting Shop Healthy marketing materials for healthier foods and removing unhealthy advertising from the front door; and (3) visibility of healthier foods by placing them in more prominent locations, such as placing produce at the checkout counter or near the front entrance of the store, and water and other low-calorie drinks at eye-level. Stores that have implemented all of the program’s criteria at the conclusion of the Retail Challenge, and maintain them for at least one month, receive a recognition award from the Borough President's Office to acknowledge their efforts and dedication to make the healthy choice, the easier choice for their communities.

This is a manually compiled list of stores, which is based on data collected through implementation checklists; these are forms completed by Shop Healthy staff as part of store observations that track whether each criteria has been met. At this time, the program does not have processes in place to ensure that stores maintain the changes past one-month.

This statistic depicts the number of states that improved their indicators in healthy living from 2016 and 2020. According to the data, 46 states improved their indicators for adults who reported fair/poor health.

The Supporting Healthy Marriage (SHM) evaluation was launched in 2003 to develop, to implement, and to test the effectiveness of a program aimed at strengthening low-income couples' marriages as one approach for supporting stable and nurturing family environments and parents' and children's well-being. The evaluation was led by MDRC and was sponsored by the Office of Planning, Research and Evaluation in the Administration for Children and Families, United States Department of Health and Human Services.The SHM program was a voluntary yearlong marriage education program for low-income married couples who had children or were expecting a child. The program provided a series of group workshops based on structured curricula designed to enhance couples' relationships; supplemental activities to build on workshop themes; and family support services to address participation barriers, connect families with other services, and reinforce curricular themes. The study sample consists of 6,298 couples (12,596 adult sample members) who were expecting a child or had a child under 18 years old at the time of study entry. The sample consists primarily of low-to-modest income, married couples with diverse racial and ethnic backgrounds. In each family, one child was randomly selected to be the focus of any child-related measures gathered in the data collection activities. These children ranged from pre-birth to 14 years old at the time of enrollment in the study. Follow-up interviews were conducted at 12 and 30 months after baseline data collection. More detail is provided in the study documentation.

This dataset identifies the Healthy People 2010 Targets and the 2003 United States health percentages or rates from Community Health Status Indicators (CHSI).

This table contains data on the percent of population age 25 and up with a four-year college degree or higher for California, its regions, counties, county subdivisions, cities, towns, and census tracts. Greater educational attainment has been associated with health-promoting behaviors including consumption of fruits and vegetables and other aspects of healthy eating, engaging in regular physical activity, and refraining from excessive consumption of alcohol and from smoking. Completion of formal education (e.g., high school) is a key pathway to employment and access to healthier and higher paying jobs that can provide food, housing, transportation, health insurance, and other basic necessities for a healthy life. Education is linked with social and psychological factors, including sense of control, social standing and social support. These factors can improve health through reducing stress, influencing health-related behaviors and providing practical and emotional support. More information on the data table and a data dictionary can be found in the Data and Resources section. The educational attainment table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity. The goal of HCI is to enhance public health by providing data, a standardized set of statistical measures, and tools that a broad array of sectors can use for planning healthy communities and evaluating the impact of plans, projects, policy, and environmental changes on community health. The creation of healthy social, economic, and physical environments that promote healthy behaviors and healthy outcomes requires coordination and collaboration across multiple sectors, including transportation, housing, education, agriculture and others. Statistical metrics, or indicators, are needed to help local, regional, and state public health and partner agencies assess community environments and plan for healthy communities that optimize public health. More information on HCI can be found here: https://www.cdph.ca.gov/Programs/OHE/CDPH%20Document%20Library/Accessible%202%20CDPH_Healthy_Community_Indicators1pager5-16-12.pdf

The format of the educational attainment table is based on the standardized data format for all HCI indicators. As a result, this data table contains certain variables used in the HCI project (e.g., indicator ID, and indicator definition). Some of these variables may contain the same value for all observations.

Youth (8th, 10th and 12th grade) obesity and overweight rate from Washington State Healthy Youth Survey (HYS). The Healthy Youth Survey (HYS) is a collaborative effort of the Office of the Superintendent of Public Instruction, the Department of Health, the Health Care Authority - Division of Behavioral Health and Recovery, and Liquor and Cannabis Board.

This filtered view of the dataset is a list of the county health departments that were granted funds to implement the Healthy Neighborhoods Program (HNP) during each of three funding cycles (2006-2009, 2009-2014, and 2014-2019). The list of county health departments differs across funding cycles. For example, Albany County received funding from 2006-2014, whereas Clinton County has received funding continuously since 2006. It is important to be aware of the funding history for each county when looking at trends in housing demographics and conditions. The "About" tab contains additional details concerning this dataset.

Source: North Carolina Department of Health and Human Services

Promoting Healthy Behaviors (PHB) is a social and behavior change (SBC) project (2018 – 2023) funded by the United States Agency for International Development (USAID) and implemented by Population Services International (PSI) to assist the Royal Government of Cambodia in improving healthy behaviors among the Cambodian population. The program has two main objectives: (1) Strengthened public sector systems for oversight and coordination of SBC at the national and provincial levels; and (2) Improved ability of individuals to adopt healthy behaviors, by carrying out a series of behavior change and communication activities in six health areas: Family Planning, Maternal and Child Health, Nutrition, Water Sanitation and Hygiene (WASH), Tuberculosis (TB) and Malaria. The interventions focus on target populations living in Phnom Penh municipality, Battambang, Pailin, Kampong Chhnang, Kampong Cham and Tbong Khmum provinces. The baseline survey aims to assess current knowledge, attitude, and practices of target population on the key behaviors across five health areas (excluding malaria) and to document the starting level of key indicators to assess project performance through comparison with an end line survey. Moreover, the collected information will help to understand health behaviors amongst the target populations, useful for the co-diagnosis and co-design stage of the SBC activities. Promoting Healthy Behaviors (PHB) is a social and behavior change (SBC) project (2018 – 2023) funded by the United States Agency for International Development (USAID) and implemented by Population Services International (PSI) to assist the Royal Government of Cambodia in improving healthy behaviors among the Cambodian population. The program has two main objectives: (1) Strengthened public sector systems for oversight and coordination of SBC at the national and provincial levels; and (2) Improved ability of individuals to adopt healthy behaviors, by carrying out a series of behavior change and communication activities in six health areas: Family Planning, Maternal and Child Health, Nutrition, Water Sanitation and Hygiene (WASH), Tuberculosis (TB) and Malaria. The interventions focus on target populations living in Phnom Penh municipality, Battambang, Pailin, Kampong Chhnang, Kampong Cham and Tbong Khmum provinces. The baseline survey aims to assess current knowledge, attitude, and practices of target population on the key behaviors across five health areas (excluding malaria) and to document the starting level of key indicators to assess project performance through comparison with an end line survey. Moreover, the collected information will help to understand health behaviors amongst the target populations, useful for the co-diagnosis and co-design stage of the SBC activities. This dataset is part of baseline survey with focusing children under five information.

Pivot table for healthy life expectancy by sex and area type, divided by three-year intervals starting from 2011 to 2013.

In January 2022, nearly 48 percent of survey respondents in the United States stated that they plan on eating healthier in 2022. Approximately the same percentage stated that plan to eat about the same as last year.