Quality of life is a measure of comfort, health, and happiness by a person or a group of people. Quality of life is determined by both material factors, such as income and housing, and broader considerations like health, education, and freedom. Each year, US & World News releases its “Best States to Live in” report, which ranks states on the quality of life each state provides its residents. In order to determine rankings, U.S. News & World Report considers a wide range of factors, including healthcare, education, economy, infrastructure, opportunity, fiscal stability, crime and corrections, and the natural environment. More information on these categories and what is measured in each can be found below:

Healthcare includes access, quality, and affordability of healthcare, as well as health measurements, such as obesity rates and rates of smoking. Education measures how well public schools perform in terms of testing and graduation rates, as well as tuition costs associated with higher education and college debt load. Economy looks at GDP growth, migration to the state, and new business. Infrastructure includes transportation availability, road quality, communications, and internet access. Opportunity includes poverty rates, cost of living, housing costs and gender and racial equality. Fiscal Stability considers the health of the government's finances, including how well the state balances its budget. Crime and Corrections ranks a state’s public safety and measures prison systems and their populations. Natural Environment looks at the quality of air and water and exposure to pollution.

Key quality of life indicators.

This statistic shows a ranking of the best U.S. federal states to live in, according to selected metrics and based on a survey among more than 530,000 Americans. The survey was conducted between January 2011 and June 2012. The findings are presented as index scores composed of the scores regarding various parameters*. According to this index, Utah is the city with the highest liveability and life quality, as it scored 7.5 points.

In 2022, the United States' E-infrastructure index amounted to 0.1944. By contrast, the Internet affordability index was only 0.0326.

This survey, conducted by Gallup across the United States in January 2014, shows the extent of satisfaction among the U.S. population with various aspects regarding American life. 32 percent of respondents were satisfied with the income and wealth distribution, whereas 74 percent were satisfied in the overall quality of life in the United States.

This EnviroAtlas dataset portrays the percentage of population within different household income ranges for each Census Block Group (CBG), a threshold estimated to be an optimal household income for quality of life, and the percentage of households with income below this threshold. Data were compiled from the Census ACS (American Community Survey) 5-year Summary Data (2008-2012). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

In 2024, across all states in the United States, ********* was ranked first with a health index score of *****, followed by ************ and ************. The health index score was calculated by measuring 42 healthcare metrics relevant to health costs, access, and outcome.

Analysis of ‘Choose Maryland: Compare States - Quality Of Life’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/0cc0cfcc-9617-4946-abe7-38d3ab9525a9 on 27 January 2022.

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Key quality of life indicators.

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The dataset contains US counties ranking data based on measures of health outcomes and health determinants. The measures used to establish counties ranks are related to length and quality of life for health outcomes and to health behavior, clinical care, socioeconomic and physical environment factors for health determinants. US counties are described along with their FIPS (Federal Information Processing Standard) code and the US state they belong.

This dataset tracks the updates made on the dataset "Choose Maryland: Compare States - Quality Of Life" as a repository for previous versions of the data and metadata.

The U.S. Census defines Asian Americans as individuals having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent (U.S. Office of Management and Budget, 1997). As a broad racial category, Asian Americans are the fastest-growing minority group in the United States (U.S. Census Bureau, 2012). The growth rate of 42.9% in Asian Americans between 2000 and 2010 is phenomenal given that the corresponding figure for the U.S. total population is only 9.3% (see Figure 1). Currently, Asian Americans make up 5.6% of the total U.S. population and are projected to reach 10% by 2050. It is particularly notable that Asians have recently overtaken Hispanics as the largest group of new immigrants to the U.S. (Pew Research Center, 2015). The rapid growth rate and unique challenges as a new immigrant group call for a better understanding of the social and health needs of the Asian American population.

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This dataset tracks the updates made on the dataset "Choose Maryland: Compare States - Quality Of Life" as a repository for previous versions of the data and metadata.

This dataset is a continuation of one created seven years earlier, QUALITY OF AMERICAN LIFE, 1971 (ICPSR 3508). In the 1978 study, a national sample was drawn that included many respondents from the 1971 study. The purpose of the study was to survey Americans about their perceived quality of life by measuring their perceptions of their socio-psychological condition, their needs and expectations from life, and the degree to which those needs were satisfied. The data, similar in scope and content of that in the 1971 survey, were collected via personal interviews from a nationwide probability sample of 3,692 persons 18 years of age and older during the summer of 1978. Closed and open-ended questions were used to probe respondents' satisfactions, dissatisfactions, aspirations, and disappointments in a variety of life domains, such as dwelling/neighborhood, local services (e.g., police, roads, and schools), public transportation, present personal life, life in the United States, education, occupation, job history/expectation, work life, housework, leisure activities, organizational affiliations, religious affiliation, health problems, financial situation, marriage (including widowhood, divorce, and separation), children/family life, and relationships with family and friends. In addition to broad questions about satisfaction with each of these domains and their importance to the respondents, specific sources of gratification and frustration were explored. Other questions focused on life as a whole and about the extent to which respondents felt they had control over their lives (e.g., rating of various aspects of life, (dis)satisfaction with life, personal efficacy, and social desirability measures). A major difference between this study and the earlier study is that the 1978 respondents were asked more detailed questions concerning their perceived financial status relative to their family, friends, and past personal financial status. Personal data include sex, age, race, ethnic background, childhood family stability, military service, and father's occupation and education. Observational data are included on housing and neighborhood characteristics as well as respondents' appearance, intelligence, and sincerity.

ABSTRACT Objective: To evaluate the quality of life and health of elderly in rural areas of Minas Gerais State’s center-west. Method: Cross-sectional study, in four municipalities of Minas Gerais State, by interviewing elderly people. Associations between socio-demographic and quality of life variables were tested, separated into “satisfactory”/“unsatisfactory” with values from the median of positive answers. It was used the chi-square test, Fisher’s test and regression. Results: 182 elderly answered the questions and showed a relation with the “satisfactory” quality of life - bivariate (p < 0.05): age by 69 years (61.6%), married (61.7%), living by 54 years in rural areas (68%), with no financial support (59.5%), living with someone else (61%), non-smoker (60%), presenting good health (76.7%), satisfied with life (69.6%); regression: not having financial support, living with someone else and not smoking. Conclusion: Elderly people in rural areas present good quality of life/health in the cognitive aspect, access to services, goods, habits, but awareness must be constant due to their weakness.

Users can obtain descriptions, maps, profiles, and ranks of U.S. metropolitan areas pertaining to quality of life, diversity, and opportunities for racial and ethnic groups in the U.S. BackgroundThe Diversity Data project operates a website for users to explore how U.S. metropolitan areas perform on evidence-based social measures affecting quality of life, diversity and opportunity for racial and ethnic groups in the United States. These indicators capture a broad definition of quality of life and health, including opportunities for good schools, housing, jobs, wages, health and social services, and safe neighborhoods. This is a useful resource for people inter ested in advocating for policy and social change regarding neighborhood integration, residential mobility, anti-discrimination in housing, urban renewal, school quality and economic opportunities. The Diversity Data project is an ongoing project of the Harvard School of Public Health (Department of Society, Human Development and Health). User FunctionalityUsers can obtain a description, profile and rank of U.S. metropolitan areas and compare ranks across metropolitan areas. Users can also generate maps which demonstrate the distribution of these measures across the United States. Demographic information is available by race/ethnicity. Data NotesData are derived from multiple sources including: the U.S. Census Bureau; National Center for Health Statistics' Vital Statistics Natality Birth Data; Natio nal Center for Education Statistics; Union CPS Utilities Data CD; National Low Income Housing Coalition; Freddie Mac Conventional Mortgage Home Price Index; Neighborhood Change Database; Joint Center for Housing Studies of Harvard University; Federal Financial Institutions Examination Council Home Mortgage Disclosure Act (HMD); Dr. Russ Lopez, Boston University School of Public Health, Department of Environmental Health; HUD State of the Cities Data Systems; Agency for Healthcare Research and Quality; and Texas Transportation Institute. Years in which the data were collected are indicated with the measure. Information is available for metropolitan areas. The website does not indicate when the data are updated.

This online application gives manufacturers the ability to compare Iowa to other states on a number of different topics including: business climate, education, operating costs, quality of life and workforce.

This survey focuses on respondent satisfaction with national and state governance, economic conditions in Georgia, as well as quality of life indicators, such as job availability and education quality. Also surveys perceived ethics of professionals, including those in the fields of police work, health care, and the clergy, as well as opinions on cellular phone usage while driving, political preferences, economic status, racial and religious self-identification, and standard demographics.

This statistic shows the results of a survey in 22 states asking respondents who they think has a better life in their country - men or women. The survey was conducted in 2010. 39 percent of respondents from the United States thought that men had a better life in their country, while 23 percent thought that a woman's life in the United States is better than a man's. 24 percent of American respondents thought the life quality of men and women in the United States is the same.

Key quality of life indicators - housing costs, arts.