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.

Quality of Life Index (higher is better) is an estimation of overall quality of life by using an empirical formula which takes into account purchasing power index (higher is better), pollution index (lower is better), house price to income ratio (lower is better), cost of living index (lower is better), safety index (higher is better), health care index (higher is better), traffic commute time index (lower is better) and climate index (higher is better).

Current formula (written in Java programming language):

index.main = Math.max(0, 100 + purchasingPowerInclRentIndex / 2.5 - (housePriceToIncomeRatio * 1.0) - costOfLivingIndex / 10 + safetyIndex / 2.0 + healthIndex / 2.5 - trafficTimeIndex / 2.0 - pollutionIndex * 2.0 / 3.0 + climateIndex / 3.0);

For details how purchasing power (including rent) index, pollution index, property price to income ratios, cost of living index, safety index, climate index, health index and traffic index are calculated please look up their respective pages.

Formulas used in the past

Formula used between June 2017 and Decembar 2017

We decided to decrease weight from costOfLivingIndex in this formula:

index.main = Math.max(0, 100 + purchasingPowerInclRentIndex / 2.5 - (housePriceToIncomeRatio * 1.0) - costOfLivingIndex / 5 + safetyIndex / 2.0 + healthIndex / 2.5 - trafficTimeIndex / 2.0 - pollutionIndex * 2.0 / 3.0 + climateIndex / 3.0);

The World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International Day of Happiness on March 20th. The report continues to gain global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness.

The scores are based on answers to the main life evaluation question asked in the poll. This question, known as the Cantril ladder, asks respondents to think of a ladder with the best possible life for them being a 10 and the worst possible life being a 0 and to rate their own current lives on that scale. The scores are from nationally representative samples for 2017 and use the Gallup weights to make the estimates representative. The columns following the happiness score estimate the extent to which each of six factors – economic production, social support, life expectancy, freedom, absence of corruption, and generosity – contribute to making life evaluations higher in each country than they are in Dystopia, a hypothetical country that has values equal to the world’s lowest national averages for each of the six factors. They have no impact on the total score reported for each country, but they do explain why some countries rank higher than others.

Quality of life index, link: https://www.numbeo.com/quality-of-life/indices_explained.jsp

Happiness store, link: https://www.kaggle.com/unsdsn/world-happiness/home

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.

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.

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.

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.

The OECD's Better Life Index allows users to compare wellbeing across countries based on 11 topics identified as determinants for material living conditions and quality of life: housing, income, jobs, community, education, environment, civic engagement, health, life satisfaction, safety, and work-life balance. Each topic is based on one to three indicators, and the indicators are averaged with equal weights.

Data was initially taken from Numbeo as an aggregation of user voting.

• Quality of Life Index varies from 0 (bad quality) to 190 (top good quality)

This dataset is one of the public parts of City API project data. Need more? Try our full data

In a 2023 global evaluation called the Digital Quality of Life index covering 121 countries, India scored an average of 0.52 points in five digital aspects. The country ranked 52nd globally and 13th in Asia. E-government and electronic infrastructure were the country's strengths.

The average for 2024 based on 138 countries was 5.56 points. The highest value was in Finland: 7.74 points and the lowest value was in Afghanistan: 1.72 points. The indicator is available from 2013 to 2024. Below is a chart for all countries where data are available.

The Social Progress Index ranks countries based on the well-being and quality of life of their citizens, considering factors such as access to education, healthcare, human rights, and environmental sustainability.

The dataset obtained consists of details of countries from year 2012-2023. The dataset consists of crime index, safety index, quality of life index, purchasing power index, cost of living index and unemployment rate in each country. Unemployment rate is based on age group 15+, 15-25+ and 25+ attributes.

The dataset is obtained by web scraping and the authenticity of data is not confirmed by the source.

Code used for web scraping: https://www.kaggle.com/code/mrudular/web-scraping-world-indices.

Data sources: 1. https://www.numbeo.com/cost-of-living/ 2. International Labour Organization. ILO modelled estimates database, ILOSTAT. https://ilostat.ilo.org/data/. Accessed 07-09-2023.

In 2023, Hungary reached a moderate quality of life index, scoring 132.13 points. From all the aspects of living taken into consideration, the low purchasing power and the high property price-to-income ratio were the least favorable.

Digital Quality of Life

Besides the Quality of Life Index, the Digital Quality of Life Index also plays an important role: measuring the country’s level and quality of digitalization. Levels of e-security, e-infrastructure, e-government, internet quality, and internet affordability are compared. The country’s e-security index totaled the highest with 0.84 points out of one, while e-infrastructure followed closely with 0.82 points. By contrast, Hungarian internet affordability reached only 0.1 index points out of one.

Happiness as an indicator

Happiness is a factor that is influenced by the quality of life. GDP, social support, life expectancy, and freedom are among the factors that influence one’s perceived happiness. In 2022, many countries that score highest on the list of happiest countries worldwide are Nordic countries such as Finland (7.8) and Denmark (7.59) but others, like Israel (7.47) and the Netherlands (7.4) are also high on the list. Out of CEE countries, Czechia scores the highest with 6.85 out of 10 points.

Purpose: The article examines specific factors of socio-economic development in the context of national security. The purpose of the current work is to identify the connections between selected indicators of socio-economic development and the level of national security, in the context of improving the quality of life for all citizens. Design/Methodology/Approach: The process of globalization has caused changes that manifest in various spheres of human life. One of the main positive aspects of the globalization process, which affects the quality of human life, is regional development. This can be measured using selected socio-economic indicators. Findings: Regional development is not the only factor that affects the quality of human life. Negative aspects of the socio-economic development process, such as illegal migration and the overall increase in crime, have made the issue of national security extremely relevant for every country. Practical Implications: One of the numerous aspects of national security that negatively affects the quality of human life, as well as the overall perception of the globalization process, is migration and the crimes committed by foreigners in certain countries. Originality/Value: Since the goal of socio-economic development is to improve the quality of human life, it is also necessary in this context to address the security issues of each citizen in a given country, which, overall, is a component of national security.

Quality of life varies significantly worldwide, influenced by factors like cost of living, healthcare, safety, and infrastructure. This case study analyzes Quality of Life Index rankings from 2022 and 2023 to identify trends, regional shifts, and key factors affecting global well-being.

🔍 What’s inside?

The 10 best and 10 worst ranked countries for both 2022 & 2023 Comparative analysis of ranking changes Visualizations: Bar charts, heatmaps, and Tableau maps for better insights Regional breakdowns to see if certain areas consistently rank high or low Key takeaways on what makes a country livable This project is designed to help analysts, travelers, and policymakers understand global quality-of-life trends.

📊 Tools Used: Excel, Google Sheets, Tableau, Python (optional for deeper analysis)

💡 Key Questions Explored:

Which countries improved or declined the most? Are there patterns in the best/worst-ranked regions? How do economic and social factors correlate with rankings?

In 2022, Algeria obtained 0.32 points in the Digital Quality of Life index, ranking 92 out of 117 countries worldwide. The score decreased compared to the previous year, indicating a worsening quality of digital wellbeing in the country.

The Human Development Index (HDI) was developed by the United Nations Development Programme (UNDP) in the Human Development Report 1990 to measure the level of economic and social development of the United Nations member countries. The HDI is a composite indicator based on three basic variables: life expectancy, educational attainment and quality of life, and is calculated according to a certain methodology. "The One Belt One Road (OBOR) human development resilience dataset is a comprehensive indicator of human development resilience in each country. "The human development resilience dataset for countries along the Belt and Road is a comprehensive diagnosis based on sensitivity and adaptability analysis using year-by-year data of the Human Development Index for countries along the Belt and Road from 2000 to 2020. The Human Development Resilience Indicator (HDRI) data was prepared based on sensitivity and adaptation analysis. Please refer to the documentation for the methodology of preparing the dataset. "The Human Development Resilience Dataset for countries along the Belt and Road is an important reference for analysing and comparing the current state of human development resilience in each country.

In 2022, Tunisia obtained 0.38 points in the Digital Quality of Life index, ranking 77 out of 117 countries worldwide. The score decreased compared to the previous year, indicating a worsening quality of digital wellbeing in the country.

Data Description: The sample panel data consists of 181 observations, covering the period from 2012 to 2017, with annual data for 32 European countries. The countries were selected based on data availability, resulting in a varying number of countries for each year: 30 countries in 2012, 29 countries in 2013, 31 countries in 2014, 32 countries in 2015, 30 countries in 2016, and 29 countries in 2017. The dataset was compiled from four reliable sources: - Our World in Data - World Data - The Legatum Institute - Eurostat The countries included in this study are: - Austria - Belgium - Bulgaria - Croatia - Cyprus - Czechia - Denmark - Estonia - Finland - France - Germany - Greece - Hungary - Ireland - Italy - Latvia - Lithuania - Luxembourg - Malta - Netherlands - North Macedonia - Norway - Poland - Portugal - Romania - Serbia - Slovakia - Slovenia - Spain - Sweden - Switzerland - Turkey Variables: The Legatum Prosperity Index, Human Development Index, Life Expectancy at Birth, Gross domestic product at market prices, euro per capita, Median income Euro, equal rights, elect free, fair individual liberities and equality before the law, freedom of expression, Judicial restrictions on executive power, Accountability Transparency, Gross domestic product at market prices euro per capita, Median income Euro, Employment and activity Percentage of total population, Population Growth Rate, Research and Development Expenditure Percentage of GDP, Mortality rate, depression rate, Smoking mortality rate, Governance Quality (GOVQ), Economy Quality (ECOQ), Education Quality (EDUQ), Health Quality (HEAQ)

This dataset contains 4,000 entries with 24 columns related to happiness, economic, social, and political indicators for different countries across multiple years.

Columns Overview: Country: Name of the country.

Year: The year of the record.

Happiness_Score: A numerical value indicating the happiness level.

GDP_per_Capita: Economic output per person.

Social_Support: Level of social connections and support.

Healthy_Life_Expectancy: Average life expectancy with good health.

Freedom: Perceived freedom in decision-making.

Generosity: A measure of charitable behavior.

Corruption_Perception: Perception of corruption in society.

Unemployment_Rate: Percentage of unemployed individuals.

Education_Index: A measure of education quality.

Population: Total population of the country.

Urbanization_Rate: Percentage of people living in urban areas.

Life_Satisfaction: A subjective measure of well-being.

Public_Trust: Confidence in public institutions.

Mental_Health_Index: A measure of overall mental health.

Income_Inequality: Economic disparity metric.

Public_Health_Expenditure: Government spending on health.

Climate_Index: A measure of climate conditions.

Work_Life_Balance: An index measuring work-life balance.

Internet_Access: Percentage of population with internet.

Crime_Rate: Reported crime level.

Political_Stability: A measure of political security.

Employment_Rate: Percentage of employed individuals.