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.

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.

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.

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.

The data is based on Economic Research Service (ERN) of USDA's dataset that shows where the creative people are in the U.S. Its an interpretation of Richard Florida's thesis that much of urban development is determined by people who work in the so called ideas and knowledge industry. The workers who are in ideas and knowledge industry are attracted to areas that offer jobs in these industries and also because of desirable traits such as quality of life indicators. For details see http://www.ers.usda.gov/data/creativeclasscodes/ and http://www.ers.usda.gov/Data/CreativeClassCodes/methods.htm

This statistic shows the results of a survey among religious groups in the United States regarding the quality of their life now and in five years from now. They were asked to rate thie life quality for both points in time on a scale from 1 (worst possible life) to 10 (best possible life). On this scale, the surveyed muslims rated their current life with 7 points and their life in five years with 8.4 points.

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.

Live city rankings with ignore politics political preference weighting applied. Showing 1-50 of 386 cities.

The Department of Justice launched Operation Weed and Seed in 1991 as a means of mobilizing a large and varied array of resources in a comprehensive, coordinated effort to control crime and drug problems and improve the quality of life in targeted high-crime neighborhoods. In the long term, Weed and Seed programs are intended to reduce levels of crime, violence, drug trafficking, and fear of crime, and to create new jobs, improve housing, enhance the quality of neighborhood life, and reduce alcohol and drug use. This baseline data collection effort is the initial step toward assessing the achievement of the long-term objectives. The evaluation was conducted using a quasi-experimental design, matching households in comparison neighborhoods with the Weed and Seed target neighborhoods. Comparison neighborhoods were chosen to match Weed and Seed target neighborhoods on the basis of crime rates, population demographics, housing characteristics, and size and density. Neighborhoods in eight sites were selected: Akron, OH, Bradenton (North Manatee), FL, Hartford, CT, Las Vegas, NV, Pittsburgh, PA, Salt Lake City, UT, Seattle, WA, and Shreveport, LA. The "neighborhood" in Hartford, CT, was actually a public housing development, which is part of the reason for the smaller number of interviews at this site. Baseline data collection tasks included the completion of in-person surveys with residents in the target and matched comparison neighborhoods, and the provision of guidance to the sites in the collection of important process data on a routine uniform basis. The survey questions can be broadly divided into these areas: (1) respondent demographics, (2) household size and income, (3) perceptions of the neighborhood, and (4) perceptions of city services. Questions addressed in the course of gathering the baseline data include: Are the target and comparison areas sufficiently well-matched that analytic contrasts between the areas over time are valid? Is there evidence that the survey measures are accurate and valid measures of the dependent variables of interest -- fear of crime, victimization, etc.? Are the sample sizes and response rates sufficient to provide ample statistical power for later analyses? Variables cover respondents' perceptions of the neighborhood, safety and observed security measures, police effectiveness, and city services, as well as their ratings of neighborhood crime, disorder, and other problems. Other items included respondents' experiences with victimization, calls/contacts with police and satisfaction with police response, and involvement in community meetings and events. Demographic information on respondents includes year of birth, gender, ethnicity, household income, and employment status.

From the Web site: USA.com is your local guide to cities, towns, and neighborhoods in the United States, providing easy to use and comprehensive local services and information, business information and population demographics, travel and tourism, directory services, and local business and consumer services. Our roadmap of offerings is wide and vast like the land that we cover; however, our team is dedicated to ensure that we have the best possible offering for the United States and we deploy each part of our website only once it has met our high quality standards. Therefore you will see our site grow as more of the services mentioned above are deployed over the upcoming months. We encourage you to check back regularly and watch as USA.com provides more and more value and more meaningful impact to your life or your visit to the USA.

This study was designed to collect comprehensive data on the types of "crime prevention through environmental design" (CPTED) methods used by cities of 30,000 population and larger, the extent to which these methods were used, and their perceived effectiveness. A related goal was to discern trends, variations, and expansion of CPTED principles traditionally employed in crime prevention and deterrence. "Security by design" stems from the theory that proper design and effective use of the built environment can lead to a reduction in the incidence and fear of crime and an improvement in quality of life. Examples are improving street lighting in high-crime locations, traffic re-routing and control to hamper drug trafficking and other crimes, inclusion of security provisions in city building codes, and comprehensive review of planned development to ensure careful consideration of security. To gather these data, the United States Conference of Mayors (USCM), which had previously studied a variety of issues including the fear of crime, mailed a survey to the mayors of 1,060 cities in 1994. Follow-up surveys were sent in 1995 and 1996. The surveys gathered information about the role of CPTED in a variety of local government policies and procedures, local ordinances, and regulations relating to building, local development, and zoning. Information was also collected on processes that offered opportunities for integrating CPTED principles into local development or redevelopment and the incorporation of CPTED into decisions about the location, design, and management of public facilities. Questions focused on whether the city used CPTED principles, which CPTED techniques were used (architectural features, landscaping and landscape materials, land-use planning, physical security devices, traffic circulation systems, or other), the city department with primary responsibility for ensuring compliance with CPTED zoning ordinances/building codes and other departments that actively participated in that enforcement (mayor's office, fire department, public works department, planning department, city manager, economic development office, police department, building department, parks and recreation, zoning department, city attorney, community development office, or other), the review process for proposed development, security measures for public facilities, traffic diversion and control, and urban beautification programs. Respondents were also asked about other security-by-design features being used, including whether they were mandatory or optional, if optional, how they were instituted (legislation, regulation, state building code, or other), and if applicable, how they were legislated (city ordinance, city resolution, or state law). Information was also collected on the perceived effectiveness of each technique, if local development regulations existed regarding convenience stores, if joint code enforcement was in place, if banks, neighborhood groups, private security agencies, or other groups were involved in the traffic diversion and control program, and the responding city's population, per capita income, and form of government.

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 set provides information about the Air Quality Index (AQI). The AQI is an index for reporting how clean or polluted the air is and the associated health risks. Data in this set are given in number of days that the AQI fell within a certain range (good - hazardous). This data also provides information on which pollutants were in the air (O3, CO, SO2, etc). All data is given on the county level for the United States from 2001 to 2006. Data can be seen for earlier years and all of this data can be found at the EPAs website . This dataset can be used to see which areas have the poorest or best air quality, which can be useful for a number of industries, from real estate to health care and insurance.

This data explores Access to early childhood programs, by state: 2002 * In 2001, all preschool efforts in Florida were consolidated into a block grant administered by the Agency for Workforce Innovation. Funding is distributed to county-level early-childhood coalitions that make decisions on distribution. It is unclear yet how the new configuration will affect pre-K programs in the state. All data presented here are from before the consolidation. * In Alabama, pilot program is targeted based on need. However, any 4-year-old in pilot communities is eligible. In Minnesota, all 4-year-olds are eligible, but priority for services is given to children from low-income families that exceed Head Start income guidelines. * Risk factors are locally determined. In Nevada and West Virginia, all eligibility requirements for pre-K are locally determined. * Enrollment count for New Jersey is for Abbott districts only. In New Jersey, full-day kindergarten is mandated for 132 high-poverty districts. * Ohio serves an additional 18,705 children in its state-financed Head Start program. * Because pre-K funding is in the form of block grants and subject to district discretion, enrollment figures cannot be determined. NOTE: ES: Elementary School; MS: Middle School; HS: High School. SOURCE: Education Week, Quality Counts 2002, table Access to Early Childhood Programs. Data Source.

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.

This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information "The United States Cancer Statistics (USCS) are the official federal statistics on cancer incidence from registries having high-quality data and cancer mortality statistics for 50 states and the District of Columbia. USCS are produced by the Centers for Disease Control and Prevention (CDC) and the National Cancer Institute (NCI)." [Quote from: https://wonder.cdc.gov/cancer.htm]>

Abstract: Quality of life information is one of the factors taken into consideration when a business is deciding where to expand or relocate. The Virginia Economic Development Partnership has developed a golf course data layer to use while assisting businesses during this decision making process. The list Citation_Information: Originator: Virginia Economic Development Partnership Publication_Date: 20021001 Title: Golf Courses in Virginia Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: None Online_Linkage: Online_Linkage: of golf courses originally came from the 2001 Virginia Golf Course directory published by the Virginia Tourism Corporation in association with the Virginia State Golf Association (VSGA). Since that time, the list of courses has been updated using new directories as well as various websites including , , , and . The final product includes boundaries (polygons) and points for public, private, semi-private, resort, and military golf courses in Virginia. The boundaries and points were originally located by geocoding street addresses and verifying and correcting the result using USGS DOQs (1994-1998) and SPOT satellite imagery (2001). Other sources for boundaries included the Virginia Atlas and Gazetteer and ADC street map books. The golf course locations were corrected in 2003 to match the Virginia Base Mapping Program imagery (VBMP), and all updates since that time have been based on the VBMP as well. Purpose: The purpose of this data is to provide a geographic representation of the location of each golf course for tourism and economic development. This data is also used in landuse classification projects. Accessed through: http://gis.vedp.org/data_search.aspx Access to metadata: http://gis.vedp.org/meta/golf_meta.htm Accessed On January 24, 2008.

In 2023, Uruguay and Chile had the highest Digital Quality of Life index in Latin America and the Caribbean region, at **** and **** points on a scale from zero to one, respectively. In comparison, Venezuela and Honduras scored the lowest index among the presented countries. The index ranks the quality of digital wellbeing in a country.