Singapore led the Index of Economic Freedom in 2024, with an index score of 83.5 out of 100. Switzerland, Ireland, Taiwan, and Luxembourg rounded out the top five. Economic Freedom Index In order to calculate the Economic Freedom Index, the source takes 12 different factors into account, including the rule of law, government size, regulatory efficiency, and open markets. All 12 factors are rated on a scale of zero to 100 and are weighted equally. Every country is rated within the Index in order to provide insight into the health and freedom of the global economy. Singapore's economy Singapore is one of the four so-called Asian Tigers, a term used to describe four countries in Asia that saw a booming economic development from the 1950s to the early 1990. Today, the City-State is known for its many skyscrapers, and its economy continue to boom. It has one of the lowest tax-rates in the Asia-Pacific region, and continues to be open towards foreign direct investment (FDI). Moreover, Singapore has one of the highest trade-to-GDP ratios worldwide, underlining its export-oriented economy. Finally, its geographic location has given it a strategic position as a center connecting other countries in the region with the outside world. However, the economic boom has come at a cost, with the city now ranked among the world's most expensive.

In 2023, Singapore ranked first with a health index score of ****, followed by Japan and South Korea. The health index measures the extent to which people are healthy and have access to the necessary services to maintain good health, including health outcomes, health systems, illness and risk factors, and mortality rates. The statistic shows the health and health systems ranking of countries worldwide in 2023, by their health index score.

The fiscal health sub-score on the Economic Freedom Index for Egypt was *** as of 2020. This was an increase of *** points from the preceding year. Throughout the period under review, the Egyptian score was lower than both the world and the African averages. According to the index, the score for fiscal health in Egypt was considered "repressed" in 2017, 2018, and 2020. In 2019, the sub-score was zero, meaning that there was "no economic freedom".

This statistic describes the fiscal health score of Indonesia on the Economic Freedom Index ranking from 2017 to 2018. According to the 2018 ranking, Indonesia reached a fiscal health score of **** compared to the world average with ****. With this result, Indonesian citizens are considered to be economically free in fiscal health matters.

As urbanization speeds up, the concept of healthy cities is receiving more focus. This article compares Chongzuo and Nanning in Guangxi with Beijing to assess the development gaps in cities in Guangxi. An indicator system for healthy cities was designed from six dimensions—healthy economy, healthy population, healthy healthcare, healthy environment, healthy facilities, and healthy transportation—and 26 secondary indicators, which were selected from 2005 to 2022, and an improved factor analysis was used to synthesize a healthy city index (HCI). The number of factors was determined by combining characteristic roots and the variance contribution rate, and the HCI was weighted using the entropy-weighted Topsis method. A comprehensive evaluation of the urban health status of these cities was conducted. The results showed that extracting six common factors had the greatest effect, with a cumulative variance contribution rate of 93.83%. Chongzuo city scored higher in the field of healthcare. The healthy environment score of Nanning was relatively high, which may be related to continuous increases in green measures. In terms of the healthy economy dimension, Beijing was far ahead. However, in recent years, the healthy economy level in Chongzuo has increased, and the GDP growth rate has ranked among the highest in Guangxi. In addition, the growth rate of healthy facilities in Nanning was relatively fast and has been greater than that in Chongzuo in recent years, which indicates that the Nanning Municipal Government believes urban construction and municipal supporting facilities are highly important. In terms of healthy transportation, Chongzuo and Nanning scored higher than Beijing. This may be because the transportation in these two cities is convenient and the traffic density is more balanced than that in Beijing, thereby reducing traffic congestion. Chongzuo had the highest score for a healthy population, and a steadily growing population provides the city with stable human resources, which helps promote urban economic and social development. Finally, relevant policy recommendations were put forwards to enhance the health level of the cities.

The 2019 Hardship Index data is compiled from the 2019 American Community Survey (ACS) 5-year average estimates. The Hardship Index methodology was developed by the Nelson A. Rockefeller Institute of Government to compare economic conditions of one place to another. The Index standardizes demographic and socio-economic variables, including unemployment, age dependency, education, income level, crowded housing, and poverty, and then averages them together, yielding a score on a scale of 0-100. Higher values indicate greater hardship. The index was calculated only in census tracts that had data for at least 5 of the 6 variables. For more information, see pages 27-28 of the 2013 Health Atlas, which is available as a PDF on the Los Angeles City Planning website, https://planning.lacity.gov.

Country ranking and score based on the Global Health Survey index.

United States US: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.757 NA in 2017. United States US: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.757 NA from Dec 2017 (Median) to 2017, with 1 observations. United States US: Human Capital Index (HCI): Female: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

Ocean Health Index scores provide invaluable, comprehensive, and quantitative assessments of progress towards healthy and sustainable oceans. Such assessments are particularly valuable when repeated annually. 2019 marks the eighth year of annual global Ocean Health Index (OHI) assessments, with scores representing ocean health for 220 coastal nations and territoriesThe Ocean Health Index is the first program to comprehensively assess ocean health. Dealing with ocean health data is complex. OHI assesses ocean health by looking at the social, ecological, and economic benefits that oceans provide to people. There are over 100 global datasets that power OHI's annual assessments, and they will serve as the foundation for Ocean Health Hubs. Developed with the help of ArcGIS Hub, Esri's citizen engagement platform, Ocean Health Hubs will display these global datasets with local data and allow faster progress on establishing ocean policies and setting priorities.More Info

This statistic describes the judicial effectiveness score of Saudi Arabia on the Economic Freedom Index ranking from 2017 to 2018. According to the 2018 ranking, Saudi Arabia scored on judicial effectiveness of the Economic Freedom index 19.7 compared to the world average is 68.6. Saudi Arabia is considered in this regard almost unfree.

The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education. For more information, consult the Human Capital Index website: http://www.worldbank.org/en/publication/human-capital

The Opportunity Mapping data includes census tract level information on the composite index score as well as the intermediate scores for the five key elements of neighborhood opportunity and positive life outcomes: education, economic health, housing and neighborhood quality, mobility and transportation, and health and environment. The level of opportunity score (very low, low, moderate, high, very high) is determined by sorting all census tracts into quintiles based on their index scores. Opportunity Mapping: Methodology and Technical Addendum (July 2019): https://www.psrc.org/media/3503

Quality of Life by State 2024

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This dataset provides insights into the quality of life across different states in the United States for the year 2024. Quality of life, encompassing aspects like comfort, health, and happiness, is evaluated through various metrics including affordability, economy, education, and safety. Dive into this dataset to understand how different states fare in terms of overall quality of life and its individual components.

Columns Description

• State: The name of the U.S. state.
• QualityOfLifeTotalScore: The total score representing the overall quality of life for the respective state. This score is calculated based on various quality of life metrics.
• QualityOfLifeQualityOfLife: The score representing the quality of life aspect for the respective state. This aspect may include subjective factors related to happiness, satisfaction, and overall well-being. Higher scores may indicate a higher level of subjective well-being, happiness, or overall satisfaction among residents. Lower scores could suggest lower levels of subjective well-being.
• QualityOfLifeAffordability: The score representing the affordability aspect of the quality of life for the respective state. This aspect evaluates factors such as cost of living, housing affordability, and income levels. Higher scores typically indicate greater affordability of housing, cost of living, and basic necessities. Lower scores may suggest that these essentials are less accessible or more expensive for residents.
• QualityOfLifeEconomy: The score representing the economic aspect of the quality of life for the respective state. This aspect assesses factors such as employment opportunities, economic growth, and income distribution. Higher scores may reflect a stronger economy with more job opportunities, higher incomes, and lower levels of poverty. Lower scores might indicate economic challenges such as unemployment or income inequality.
• QualityOfLifeEducationAndHealth: The score representing the education and health aspect of the quality of life for the respective state. This aspect considers factors such as access to quality education, healthcare facilities, and overall public health indicators. Higher scores generally signify better access to quality education, healthcare services, and overall public health. Lower scores may indicate deficiencies in these areas, such as limited access to healthcare or lower educational attainment levels.
• QualityOfLifeSafety: The score representing the safety aspect of the quality of life for the respective state. This aspect evaluates factors such as crime rates, public safety measures, and community well-being initiatives. Higher scores suggest lower crime rates, better community safety, and a higher sense of security among residents. Lower scores may indicate higher crime rates or concerns about safety.

These descriptions provide an overview of what each column represents and the specific aspects of quality of life they assess for each U.S. state.

The Pierce County Equity Index data highlights opportunities to improve equitable access and outcomes for residents of Pierce County. This Index includes an overall Opportunity Index rating which is made up of five categories (Livability, Accessibility, Economy, Education, and Environmental Health), and 32 individual data points. The data is presented in the Pierce County Equity Index web application (www.piercecountywa.gov/equityindex). Accessibility Indicators: Average Road Quality, Transit, Internet and Library Access, Parks & Open Spaces, Voter Participation, Retail Services, Household Vehicle Access and Healthily Food Availability. Education Indicators: High School Graduation Rate, 25 Age+ with Bachelors' Degree or More, Average Test Proficiency, Average Student Mobility Rate, Kindergarten Readiness Rate.Economy Indicators: Households at 200% of the Poverty Line or Less, Median Household Income, Jobs, Unemployment Rate, Poverty Rate, Median Home Value.Livability Indicators: Cost Burden, Life Expectancy, Health, Uninsured rate, Crime, CrashesEnvironmental Health Indicators: NOxNOx- Diesel Emissions (Annual Tons/Km2), Ozone Concentration, PM2.5 Particulate Matter Concentration, Populations Near Heavy Traffic Roadways.Please read metadata for additional information (https://matterhorn.piercecountywa.gov/GISmetadata/pdbis_equityindex.html). Any use or data download constitutes acceptance of the Terms of Use (https://matterhorn.piercecountywa.gov/disclaimer/PierceCountyGISDataTermsofUse.pdf).

The Calgary Equity Index is a decision-making tool designed to measure equity in Calgary, based on a social determinant of health (SDOH) framework. The SDOH are the range of interacting social and economic conditions that influence people’s health and well-being. This index provides an equity lens to examine the ways in which social and economic conditions are experienced and distributed among populations. It will help the City examine where inequities exist in different areas. Information is available for 113 Community Service Areas (CSAs) across Calgary. The CSAs were created by combining two adjacent Census Tracts to reach a population of around 10,000. The CSAs are numbered from 1 to 113, and are displayed on the map.

"Neighborhood Financial Health (NFH) Digital Mapping and Data Tool provides neighborhood financial health indicator data for every neighborhood in New York City. DCWP's Office of Financial Empowerment (OFE) also developed NFH Indexes to present patterns in the data within and across neighborhoods. NFH Index scores describe relative differences between neighborhoods across the same indicators; they do not evaluate neighborhoods against fixed standards. OFE intends for the NFH Indexes to provide an easy reference tool for comparing neighborhoods, and to establish patterns in the relationship of NFH indicators to economic and demographic factors, such as race and income. Understanding these connections is potentially useful for uncovering systems that perpetuate the racial wealth gap, an issue with direct implications for OFE’s mission to expand asset building opportunities for New Yorkers with low and moderate incomes. This data tool was borne out of the Collaborative for Neighborhood Financial Health, a community-led initiative designed to better understand how neighborhoods influence the financial health of their residents.

Norway NO: Human Capital Index (HCI): Scale 0-1 data was reported at 0.771 NA in 2017. Norway NO: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.771 NA from Dec 2017 (Median) to 2017, with 1 observations. Norway NO: Human Capital Index (HCI): Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Norway – Table NO.World Bank: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

Hungary HU: Human Capital Index (HCI): Scale 0-1 data was reported at 0.703 NA in 2017. Hungary HU: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.703 NA from Dec 2017 (Median) to 2017, with 1 observations. Hungary HU: Human Capital Index (HCI): Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

In 2025, the UK's economic freedom index score was **** out of a possible 100. Among twelve different categories of economic freedoms, the UK's property rights ranked the highest, at ****, with the UK's health fiscal health rated the lowest, at just **.

Costa Rica CR: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.597 NA in 2017. Costa Rica CR: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.597 NA from Dec 2017 (Median) to 2017, with 1 observations. Costa Rica CR: Human Capital Index (HCI): Male: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;