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.

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 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.

Key quality of life indicators.

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).

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 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.

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.

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.

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

The purpose of this study was to survey Americans about perceived quality of life by measuring perceptions of their socio-psychological condition, their needs and expectations from life, and the degree to which those needs were satisfied. The data were collected via personal interviews from a nationwide probability sample of 2,164 persons 18 years of age and older during the summer of 1971. 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 are explored. Other questions focused on life as a whole and 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). 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. An instructional subset of this study is also available (see ICPSR INSTRUCTIONAL SUBSET: QUALITY OF AMERICAN LIFE, 1971 [ICPSR 7516], also prepared by Campbell, Converse, and Rodgers.) It includes questions representative of the major areas covered in the original, longer survey. A related dataset, QUALITY OF AMERICAN LIFE, 1978 (ICPSR 7762), continues the survey conducted in 1971.

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 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.

In an April 2024 online survey, an overwhelming majority of respondents in the United States said that **** U.S. dollars per hour is not enough for the average American worker to have a decent quality of life. The U.S. federal minimum wage has not been raised since 2009. Since then, many states have raised the wage, with a number of states having more than doubled the federal minimum.

description: Data Sources: Water Quality data from MDNR Resource Assessment Service (T. Parham x8633), State Park Visitors from MDNR State Parks, Acres of Protected Lands (http://dnrweb.dnr.state.md.us/gis/plreports/report.asp) CREP, DNR, Forest Legacy, MET, and Rural Legacy data used; abstract: Data Sources: Water Quality data from MDNR Resource Assessment Service (T. Parham x8633), State Park Visitors from MDNR State Parks, Acres of Protected Lands (http://dnrweb.dnr.state.md.us/gis/plreports/report.asp) CREP, DNR, Forest Legacy, MET, and Rural Legacy data used

In an April 2024 online survey, an overwhelming majority of respondents in the United States, regardless of which political party they identified with, said that **** U.S. dollars per hour is not enough for the average American worker to have a decent quality of life. The U.S. federal minimum wage has not been raised since 2009. Since then, many states have raised the wage, with a number of states having more than doubled the federal minimum.

Of the most populous cities in the U.S., San Jose, California had the highest annual income requirement at ******* U.S. dollars annually for homeowners to have an affordable and comfortable life in 2024. This can be compared to Houston, Texas, where homeowners needed an annual income of ****** U.S. dollars in 2024.

An Internet-based survey was administered to a national sample of individuals with recent nursing home experience. The survey elicited preferences using both contingent evaluation (CV) experiments as well as the assessment of quality of the nursing home. The CV experiments ask the respondent if they or their family member would be willing to move to a higher quality nursing home with a greater travel time. Information about the health status, demographic status, and economic status of the respondent and/or family member was also collected. The goals of the study were (1) To develop two alternative composite measures to the CMS 5 Star rating system that includes consumer preferences. (2) Measure variation in consumer preferences based on socio-demographics and health conditions.

This data publication contains racial/ethnic population data within a 10-minute walk around each of 122,988 urban parks across the United States. These data represent information on the location of publicly accessible parks from the Trust for Public Lands ParkServe 2022 database. The ParkServe data also includes information about trail length, trail location, and playground size and location from 2022. Information on tree canopy comes from the Mult-Resolution Land Characteristics Consortium National Land Cover Database released in 2021 and which is based on imagery from 2019. Heat was calculated based on USGS Landsat data from June, July, and August of 2018, 2019, and 2020. Noise was based on modeled data from a 2014 National Parks Service Mapping Sound Project. Demographic information was aggregated to the block level excluding water using the United States 2020 Census. Data in this package include a comma-separated values (CSV) file with information about the characteristics of each park (e.g., size, number of trails, average land surface temperature), as well as transformed versions of this CSV file where parks are grouped by census division or other characteristics for the purpose of analysis. Additionally, CSV files are provided where the full data are summarized by both census division and racial/ethnic groups (e.g., average temperature of parks in division 1) as well as the full results of statistical tests such as two way ANOVAs. The R code included in this package allows the user to reproduce the figures and conduct all statistical analysis from the associated article.Our study demonstrates how inequities in access to high quality parks are widespread across the country. We compared racial/ethnic differences in access to higher quality parks within cities across the continental United States to answer the following research questions: 1) What is the racial/ethnic composition of the population living within a 10-minute walk of U.S. urban parks in comparison to that city as a whole? 2) Does the distribution of park amenities differ with the racial/ethnic composition of surrounding neighborhoods? 3) How do these patterns in proximity and quality vary across different regions of the U.S.?For more information about this study and these data, see Winkler et al. (2024).

These data were published on 09/10/2024. Minor metadata updates made on 11/08/2024.

Abbreviations: GDP, gross domestic product; No, number; HRT, hormone replacement therapy; HS, health state, No, number; GP, general population; QoL, quality of life;UK, united Kingdom;ROK, Republic of Korea; US, United states;¶ mild or severe osteoarthritis;*EQ-5D described severity;^ CSM,general medical clinic,cerebral aneurysms;^^Knee osteoarthritis;€chronic prostatitisWTP per QALY compared to GDP per Capita.