According to the Digital Quality of Life Index, Singapore had the highest digital quality of life among countries in the Asia-Pacific region in 2023. In comparison, Cambodia scored the lowest among the assessed Asia-Pacific countries in 2023, reaching 0.31 index points.

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.

Estonia and Lithuania had the highest Digital Quality of Life index in Central and Eastern Europe in 2023, at 0.72 and 0.7 points on a scale from zero to one, respectively. In comparison, Bosnia and Herzegovina scored the lowest among the presented CEE countries. The index ranks the quality of digital wellbeing in a country.

The European Quality of Life survey (EQLS) examines both the objective circumstances of European citizens' lives, and how they feel about those circumstances, and their lives in general. It looks at a range of issues, such as employment, income, education, housing, family, health and work-life balance. It also looks at subjective topics, such as people's levels of happiness, how satisfied they are with their lives, and how they perceive the quality of their societies.

The survey is carried out every four years.The European Foundation for the Improvement of Living and Working Conditions (Eurofound) commissioned GfK EU3C to carry out the survey.

The survey was carried in the 27 European Member States (EU27), and the survey was also implemented in seven non-EU countries. The survey covers residents aged 18 and over.

A selection of key findings from the 2010/11 data released in July 2013 are presented in this briefing: The socio-economic position of Londoners in Europe: An analysis of the 2011 European Quality of Life Survey.

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For the purposes of the rankings in this report, London is treated as a 35th European country.The themes covered in the analysis below are: volunteering, community relations, trust in society, public services ratings, well-being, health, wealth and poverty, housing, and skills and employment.

The tables following the analysis on page 4 show figures and rankings for:

- London,

- rest of the UK,

- Europe average,

- the highest ranked country, and

- the lowest ranked country.

Internet use data for all European NUTS1 areas included in spreadsheet. Note figures based on low sample sizes marked in pink.

In 2023, Uruguay and Chile had the highest Digital Quality of Life index in Latin America and the Caribbean region, at 0.57 and 0.56 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.

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 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).

Quality of life related to health among adult population by sex, country of birth and age group. Average and standard deviation. Population aged 15 years old and over. National.

Luxembourg stands out as the European leader in quality of life for 2025, achieving a score of 220 on the Quality of Life Index. The Netherlands follows closely behind with 211 points, while Albania and Ukraine rank at the bottom with scores of 104 and 115 respectively. This index provides a thorough assessment of living conditions across Europe, reflecting various factors that shape the overall well-being of populations and extending beyond purely economic metrics. Understanding the quality of life index The quality of life index is a multifaceted measure that incorporates factors such as purchasing power, pollution levels, housing affordability, cost of living, safety, healthcare quality, traffic conditions, and climate, to measure the overall quality of life of a Country. Higher overall index scores indicate better living conditions. However, in subindexes such as pollution, cost of living, and traffic commute time, lower values correspond to improved quality of life. Challenges affecting life satisfaction Despite the fact that European countries register high levels of life quality by for example leading the ranking of happiest countries in the world, life satisfaction across the European Union has been on a downward trend since 2018. The EU's overall life satisfaction score dropped from 7.3 out of 10 in 2018 to 7.1 in 2022. This decline can be attributed to various factors, including the COVID-19 pandemic and economic challenges such as high inflation. Rising housing costs, in particular, have emerged as a critical concern, significantly affecting quality of life. This issue has played a central role in shaping voter priorities for the European Parliamentary Elections in 2024 and becoming one of the most pressing challenges for Europeans, profoundly influencing both daily experiences and long-term well-being.

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, regardless of which political party they identified with, said that 7.25 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.

Abstract copyright UK Data Service and data collection copyright owner.

Wellbeing in Developing Countries is a series of studies which aim to develop a conceptual and methodological approach to understanding the social and cultural construction of wellbeing in developing countries. The Wellbeing in Developing Countries Research Group (WeD), based at the University of Bath, drew on knowledge and expertise from three different departments (Economics and International Development, Social and Policy Sciences and Psychology) as well as a network of overseas contacts. The international, interdisciplinary team formed a major programme of comparative research, focused on six communities in each of four countries: Ethiopia, Thailand, Peru and Bangladesh. All sites within the countries have been given anonymous site names, with the exception of Ethiopia where the team chose to follow an alternative locally agreed procedure on anonymisation. Data can be matched across studies using the HOUSEKEY (Site code and household number).

The research raises fundamental questions both for the academic study of development, and for the policy community. The WeD arrived at the following definition of wellbeing through their research: "Wellbeing is a state of being with others, where human needs are met, where one can act meaningfully to pursue one's goals, and where one enjoys a satisfactory quality of life".

Further information about the project can be found on the WeD website and the ESRC Award webpage.

Wellbeing in Developing Countries: Quality of Life, 2004-2005 comprises the Quality of Life (QoL) Survey which was carried out in each of the four countries. The QoL was administered to approx 370 men and women in each country (approximately 60 per research site) in the local language by a team of interviewers selected by each of the country teams. The majority of respondents also completed the other surveys that form part of this research project and are available from the UKDA under GN 33394. The remainder were sampled proportionately according to age, socio-economic status, ethnicity and religion. For each country there is one data file at the individual level.


Main Topics:

Topics covered include:

• positive and negative affect Scale (PANAS)
• goals
• satisfaction with goal attainment
• values (both individual and group)
• satisfaction with life scale (SWLS)

Background: A cancer patient's quality of life (QoL) is the perception of their physical, functional, psychological, and social well-being as well as their mental and emotional state. QoL is one of the most important factors to consider when a person is being treated for cancer and during follow-up. The present study aimed to understand the status of QoL of cancer patients and determine the factors affecting it.

Methods: This cross-sectional study was conducted among 210 cancer patients attending the oncology unit of a medical college, within a 4-month consecutive time period in 2022. Data were collected by using the Bengali version of the European Organization for Research and Treatment of Cancer questionnaire.

Results: The present study reported a high number of female cancer patients (67.6%). Breast cancer was more common among females (31.43%) while lung and upper respiratory tract cancer was among males (19.05). Most of the patients in the present study were diagnosed with cancer in the past year (86.19%). The functional scales' overall mean scores varied from 54.92 for physical functioning to 38.89 for social functioning. The highest symptom scale score was for financial issues (63.02), while the lowest was for diarrhea (33.01). The overall QoL of cancer patients in the present study was 47.98 which was 45.71 for males and 49.10 for females respectively.

Conclusion: The overall QoL was poor in cancer patients in the present study compared to the developed countries. There was a low score for QoL for social and emotional function. Financial difficulty was the primary reason behind low QoL in the symptom scale. If the government supports cancer patients by providing subsidies for treatment and health insurance policies, cancer patients will benefit and QoL will improve.

The measurement of the quality of life implies the observation of the different dimensions that compose it, one of them being personal or subjective well-being. The Personal Well-Being Survey-EBP offers detailed and timely information on the perception of well-being by the population of the Basque Country.

As of 2024, South Africa and Morocco scored highest in the Digital Quality of Life index in Africa, with 0.45 points each. Mauritius and Egypt followed closely with scores of 0.43 points and 0.42 points, respectively. African countries ranked significantly lower compared to other regions, with South Africa ranking 66th, while DR Congo came last in the 120th place.

ObjectivesQuality of Life (QoL) depends on the discrepancy between desired and current experiences (referred to as the Calman gap), thus in chronic illness, adjustment of expectations and interpretation of the current situation are crucial. Depression is known to influence this gap, and the present study aims to further assess the role of resilience and health locus of control (HLC).MethodsA total of 94 patients (age M = 71.8, SD = 7.7 years) with neurological disorders were screened via telephone regarding depression, resilience and HLC. Current and desired state of several life domains were assessed, such as Fitness, General Health, Pain, Daily Activities, Finances, Leisure, and Family. Elastic net regularization and analyses of variance were used to disentangle the impact of depression, resilience, HLC, and sociodemographic factors on the perception of current and desired state, and the gap between both.ResultsA gap was present for all domains but largest for pain. Interpretation of the current state was linked to desired state, HLC, and age. All gaps were related to depression; certain domains were in addition influenced by resilience, HLC and sociodemographic factors. Of note, for most domains, patients did not select the highest possible desired state.ConclusionOlder patients with neurological disorders report a gap between current and desired state for many aspects of life. Adjusting expectations is beneficial in the face of declining health, but a reasonably increased desired state may positively influence the perception of the current situation. Depression negatively influences the interpretation of the Calman gap.

Abstract Background The Older Persons and Informal Caregivers Survey– Minimum Dataset (TOPICS-MDS) collects uniform information from research projects funded under the Dutch National Care for the Elderly Programme. To compare the effectiveness of these projects a preference-weighted outcome measure that combined multidimensional TOPICS-MDS outcomes into a composite endpoint (TOPICS-CEP) was developed based on the health state preferences of older persons and informal caregivers.

Objectives To derive preference weights for TOPICS-CEP’s components based on health state preferences of healthcare professionals and to investigate whether these weights differ between disciplines and differ from those of older persons and informal caregivers.

Materials and methods Vignette studies were conducted. Participants assessed the general wellbeing of older persons described in vignettes on a scale (0-10). Mixed linear analyses were used to obtain and compare the preference weights of the eight TOPICS-CEP components: morbidities, functional limitations, emotional wellbeing, pain experience, cognitive problems, social functioning, self-perceived health, and self-perceived quality of life (QOL).

Results Overall, 330 healthcare professionals, 124 older persons and 76 informal caregivers participated. The preference weights were not significantly different between disciplines. However, the professionals’ preference weights differed significantly from those of older persons and informal caregivers. Morbidities and functional limitations were given more weight by older persons and informal caregivers than by healthcare professionals [difference between preference weights: 0.12 and 0.07] while the opposite was true for pain experience, social functioning, and self-perceived QOL [difference between preference weights: 0.13, 0.15 and 0.26].

Conclusion It is important to recognize the discrepancies between the health state preferences of various stakeholders to (1) correctly interpret results when studying the effectiveness of interventions in elderly care and (2) establish appropriate healthcare policies. Furthermore, we should strive to include older persons in our decision making process through a shared decision making approach.

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.

Introduction Pathological confidence in one’s thoughts is a key mechanism of chronic paranoid thinking. For this reason, many of the current therapies focus on trying to reduce it. In fact, the way some antipsychotics (e.g., haloperidol) work seems to be through the induction of doubt. Because of the impact of these pathological thoughts on positive health, studying the well-being of people who experience paranoid thoughts is fundamental. The first objective of this research is to apply the Complete State Model of Health (CSMH) to a sample of patients characterized by the presence of paranoid thinking. Our second objective is to evaluate the impact of therapies based on reducing pathological confidence on patients’ well-being.MethodsSixty participants with SCID-5 confirmed DSM-5 diagnosis related with paranoid thinking and without mood symptoms were recruited. In order to test the existence of a two continua model of mental health (CSMH), we conducted a parallel analysis and an exploratory factor analysis. To test our hypothesis regarding the partially mediating role of doubt between paranoid thinking and patients’ well-being, we conducted a biased corrected bootstrapping procedure.ResultsAs expected, two different unipolar dimensions emerged from the measures used to assess paranoid thinking and positive health (two continua model of mental health). When patients received metacognitive and pharmacological treatment, more paranoid thinking led to more doubt in all thoughts, which in turn affected well-being. The analyses carried out confirmed the partial mediating role of doubt.ConclusionDespite the efficacy shown by both metacognitive therapies and antipsychotics, it seems that they not only reduce pathological confidence, but can also affect other thoughts not linked to delirium. This effect of generalization of doubt in all thoughts negatively affected patients’ well-being and quality of life.

Worldwide, a higher share sees a fair society as one in which everyone has the same opportunities, compared to one in which everyone enjoys the same quality of life. This was particularly the case in Mexico, where more than 50 percent agreed with the first statement. Meanwhile, India had a nearly even divide, with 21 percent agreeing with the first statement and 19 percent agreeing with the second statement.