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, Minnesota was ranked first with a health index score of 67.38, followed by Rhode Island and South Dakota. The health index score was calculated by measuring 42 healthcare metrics relevant to health costs, access, and outcome.

This statistic depicts an overall U.S. states health ranking in 2018, according to America's Health Rankings of the United Health Foundation. As of that year, the top state based on health was Hawaii with a score of 0.88 above the national norm.

Regulatory Quality: Percentile Rank in United States was reported at 90.57 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Regulatory Quality: Percentile Rank - actual values, historical data, forecasts and projections were sourced from the World Bank on April of 2025.

The U.S. manufacturing sector plays a central role in the economy, accounting for 20% of U.S. capital investment, 60% of the nation's exports and 70% of business R&D. Overall, the sector's market size, measured in terms of revenue is worth roughly $6 trillion, making it a major industry to do business with. So which U.S. states are the biggest for manufacturing? This article will explore the nation's top manufacturing states, measured by number of employees, based on MNI's database of 400,000 U.S. manufacturing companies.

This statistic displays a ranking of the U.S. states in 2019 based on environmental quality, eco-friendly behaviors, and climate change contributions. During this time, New York was ranked second, with a score of 75.49. The state ranked third based on their climate change contributions.

Area Deprivation Index state score in 2020. The Area Deprivation Index (ADI) ranks neighborhoods on the basis of socioeconomic disadvantage in the areas of income, education, employment, and housing quality. Areas with greater disadvantage are ranked higher. National scores are normalized to the whole country, and state scores are normalized to a particular state. Higher Area Deprivation Index scores have been shown to correlate with worse health outcomes in measures such as life expectancy. This index was created by researchers at the University of Wisconsin-Madison based on a methodology originally developed by the Health Resources and Services Administration. Areas on this map are ranked against other areas within the state. State scores represent deciles. In other words, they are divided into 10 groups of the same size, where 1 is the lowest rate of disadvantage and 10 is the highest.

Regulatory Quality: Percentile Rank, Upper Bound of 90% Confidence Interval in United States was reported at 96.7 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Regulatory Quality: Percentile Rank, Upper Bound of 90% Confidence Interval - actual values, historical data, forecasts and projections were sourced from the World Bank on May of 2025.

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.

Context

The County Health Rankings measure the health of all US counties and rank them within states. These ranks are estimated using composite scores from variety of health measures like quality of life, socio-economic factors, clinical care etc. The major goal of the rankings is to raise awareness about many factors that influence health and subsequently take corrective actions. A good indicator of the mortality measure for each county is YPLL (years of potential life lost) which indicates the cumulative years lost (typically calculated using predefined standards) due to premature death. Contribution to YPLL is the difference of premature deaths that are below 75 years of age as defined by the CDC. For example, if a person dies at the age of 72, then there is a contribution of 3 years towards the county YPLL. Any age of death above 75 is not counted towards YPLL as the criterion of expected age of 75 has supposedly been met.

Content

The YPLL for each 100,000 people, averaged across counties in the United States is between 8000 and 9000 depending on the year. The data file ypll.csv contains per-county YPLL’s for the United States in 2011. The attached file additional_measures.csv contains demographic measures for each US counties.

Acknowledgements

https://github.com/dataiap/dataiap/tree/master/datasets/county_health_rankings

Inspiration

Can we predict YPLL for US counties and take corrective actions?

Graph and download economic data for Asset Quality Measures, Delinquencies on All Loans and Leases, Banks Ranked 1st to 100th Largest in Size by Assets (DALLT100EP) from Q1 1985 to Q1 2025 about delinquencies, leases, assets, loans, banks, depository institutions, and USA.

This data resource is a layer in a map service. To download it, please go to the "Layers" section of this page and click the name of the dataset. This will open a new page that features a download button. Open the Map Service: https://gis.chesapeakebay.net/ags/rest/services/PriorityAgriculturalWatersheds/PAW_WW_2021/MapServer In 2010, the U.S. Environmental Protection Agency (EPA), U.S. Geological Survey (USGS) and regional Land Grant Universities developed Priority Agriculture Watershed (PAW) maps to inform where to focus federal funding for agricultural conservation practices to reduce the greatest nitrogen and phosphorus loads to the tidal Chesapeake Bay. Since then, Priority Agriculture Watershed maps have been used to target implementation funds including EPA Region 3 Chesapeake Bay Implementation, Regulatory and Accountability Program grants, National Fish and Wildlife Foundation (NFWF) Chesapeake Bay Stewardship grants and U.S. Department of Agriculture Natural Resource Conservation Service (NRCS) Farm Bill programs. The NRCS targeting effort was the precursor to USDA creating the Chesapeake Bay Watershed Initiative which created dedicated Farm Bill funding for the watershed. The data layers used to create the original 2009 maps were updated by a 2018 release of the USGS SPARROW model (https://doi.org/10.3133/sir20185051) for delivered loads of nitrogen or phosphorus from agricultural sources, agricultural land uses and Clean Water Act Section 303(d) 2016 reports used to emphasize local waters impaired from potential agriculture-related sources. This approach integrates modeling (SPARROW) and monitoring (303d) data to prioritize USGS 12-digit hydrologic units (HUCs) for Chesapeake Bay and local water quality benefits. The PAW analysis ranked HUCs across the Chesapeake Bay watershed in terms of their contribution of nitrogen (N) and phosphorus (P) pollutants to Chesapeake Bay streams. HUCs that fell above a threshold to be considered an Agricultural HUC (AgHUC) were ranked across the watershed based on SPARROW modeled stream pollutant movement between catchments, or Delivered Loading Rate (DLR), for N and for P separately. These rankings were performed across the watershed as well as across each state to enable more flexible mapping comparisons, and especially to facilitate interactive web applications for the public to use to examine results. In addition, the fraction of all SPARROW-derived local catchment 303(d) assessed streams that were in SPARROW-derived agricultural catchments, and that carried 303(d) Agriculture-related pollutants within the same HUC, was produced in this analysis. Percent rankings for the fractional data was not created as it was deemed inappropriate due to the meaningful coarseness of this statistic. This dataset represents the watershed-wide rankings. State-specific rankings can be found here: https://gis.chesapeakebay.net/ags/rest/services/PriorityAgriculturalWatersheds/PAW_WW_2021/MapServer

SCHOOL PROFICIENCY INDEXSummaryThe school proficiency index uses school-level data on the performance of 4th grade students on state exams to describe which neighborhoods have high-performing elementary schools nearby and which are near lower performing elementary schools. The school proficiency index is a function of the percent of 4th grade students proficient in reading (r) and math (m) on state test scores for up to three schools (i=1,2,3) within 1.5 miles of the block-group centroid. S denotes 4th grade school enrollment:Elementary schools are linked with block-groups based on a geographic mapping of attendance area zones from School Attendance Boundary Information System (SABINS), where available, or within-district proximity matches of up to the three-closest schools within 1.5 miles. In cases with multiple school matches, an enrollment-weighted score is calculated following the equation above. Please note that in this version of the data (AFFHT0004), there is no school proficiency data for jurisdictions in Kansas, West Virginia, and Puerto Rico because no data was reported for jurisdictions in these states in the Great Schools 2013-14 dataset. InterpretationValues are percentile ranked and range from 0 to 100. The higher the score, the higher the school system quality is in a neighborhood. Data Source: Great Schools (proficiency data, 2015-16); Common Core of Data (4th grade school addresses and enrollment, 2015-16); Maponics (attendance boundaries, 2016).Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 7.

To learn more about the School Proficiency Index visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 07/2020

As of 2023, 46 percent of U.S. adults rated the quality of healthcare as excellent or good in the United States. In comparison, nearly a third rated the country's health care coverage as excellent or good. This statistic presents the ratings for U.S. healthcare quality and coverage among adults in the United States from 2001 to 2023.

United States - Asset Quality Measures, Delinquencies on All Loans and Leases, Secured by Real Estate, Banks Ranked 1st to 100th Largest in Size by Assets was 72163.00000 Mil. of $ in January of 2025, according to the United States Federal Reserve. Historically, United States - Asset Quality Measures, Delinquencies on All Loans and Leases, Secured by Real Estate, Banks Ranked 1st to 100th Largest in Size by Assets reached a record high of 312888.00000 in January of 2010 and a record low of 10970.00000 in April of 1987. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Asset Quality Measures, Delinquencies on All Loans and Leases, Secured by Real Estate, Banks Ranked 1st to 100th Largest in Size by Assets - last updated from the United States Federal Reserve on June of 2025.

In 2021, Massachusetts, Connecticut, and Minnesota had the highest Human Development Index (HDI) score of any other states at 0.95. Many more states had a score just below this at 0.94. Mississippi had the lowest HDI score at 0.87, and the U.S. average was 0.92.

An analysis of average internet speeds across U.S. states in 2025, highlighting the fastest and slowest regions.

As of 2023, around 73 percent of U.S. adults rated the quality of healthcare they receive as excellent or good. In comparison, 63 percent rated their own health care coverage as excellent or good. This statistic presents the ratings for U.S. healthcare quality and coverage among adults in the United States from 2001 to 2023.

United States - Asset Quality Measures, Delinquencies on All Loans and Leases, Commercial and Industrial, Banks Ranked 1st to 100th Largest in Size by Assets was 23374.00000 Mil. of $ in January of 2025, according to the United States Federal Reserve. Historically, United States - Asset Quality Measures, Delinquencies on All Loans and Leases, Commercial and Industrial, Banks Ranked 1st to 100th Largest in Size by Assets reached a record high of 45136.00000 in July of 2009 and a record low of 6794.00000 in July of 1994. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Asset Quality Measures, Delinquencies on All Loans and Leases, Commercial and Industrial, Banks Ranked 1st to 100th Largest in Size by Assets - last updated from the United States Federal Reserve on June of 2025.