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.

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.

As of 2024, South Africa and Morocco scored highest in the Digital Quality of Life index in Africa, with **** points each. Mauritius and Egypt followed closely with scores of **** points and **** 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.

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.

In 2024, Israel obtained a **** score in the Digital Quality of Life Index. The index measures four categories which influence the digital experience in different countries. In the most recent ranking, Israel placed **** out of 121 countries. This reflected a declining position in comparison to the previous years.

Title: Top Cities Worldwide: Quality of Life Index 2024 Subtitle: Ranking the World's Best Cities for Living Based on Key Metrics

Source of Data: The dataset was collected from Numbeo.com, a publicly accessible database that provides data on various quality-of-life indicators across cities worldwide. Numbeo aggregates user-contributed data validated through statistical methods to ensure reliability.

Data Collection Method: Data was acquired through web scraping. Care was taken to follow ethical web scraping practices, adhering to Numbeo’s terms of service and respecting their robots.txt file.

Columns Description:

The dataset includes the following columns:

• Rank: City ranking based on the Quality of Life Index.
• City: Name of the city.
• Country: Country where the city is located.
• Quality of Life Index: Overall index measuring quality of life, calculated based on various sub-indices.
• Purchasing Power Index: Measures relative purchasing power in the city.
• Safety Index: Indicates how safe the city is based on crime rates.
• Health Care Index: Reflects the quality and accessibility of healthcare services.
• Cost of Living Index: Represents the cost of living, including housing, food, and transportation.
• Property Price to Income Ratio: A measure of housing affordability, calculated as the ratio of property prices to average incomes.
• Traffic Commute Time Index: Average time spent commuting within the city.

Limitations and Considerations:

• User-Generated Data: Since data on Numbeo is user-contributed, it may be subject to biases.
• Data Update Frequency: As Numbeo updates its data regularly, the dataset represents a snapshot in time and may require periodic updates.

Usage Note: The dataset is intended for research and analytical purposes. Users should verify the data's applicability for their specific use cases, considering the limitations mentioned above.

In 2024, Paris was the most livable city worldwide according to the Global Power City Index (GCPI), with ******points. Furthermore, Madrid was the second most livable city with ******points, while Tokyo was the third with ******points. The criteria taken into consideration include, among others, costs and ease of living, number of retail shops and restaurants, and availability of medical services.

Data is sourced from OECD and IMF.

The Better Life Index 2024 dataset provides comprehensive indicators across various dimensions of well-being for multiple countries. It encompasses factors such as economic prosperity, housing quality, education, health, safety, and overall life satisfaction.

This dataset can be used to compare and contrast the quality of life across different nations, identify patterns, and explore correlations between various socio-economic factors and individuals' subjective well-being.

Target label: Life Satisfaction

Egypt registered **** points in the Digital Quality of Life index in 2022. This placed the country in the fourth place out of 25 reported African countries and 79th of *** countries worldwide. E-government and e-infrastructure received the highest scores, at **** points each. On the other hand, internet affordability was the pillar with the lowest value, at **** points.

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 **** index points.

The UAE ranked **rd in the 2024 Digital Quality of Life Index valued at ****, down from **** in the previous year.

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

The healthcare ranking reflects the quality of health care and access to health services in different countries. The assessment includes various factors such as life expectancy, access to medical services, healthcare funding, and technologies.

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.

Dataset Name: City Happiness Index

Dataset Description:

This dataset and the related codes are entirely prepared, original, and exclusive by Emirhan BULUT. The dataset includes crucial features and measurements from various cities around the world, focusing on factors that may affect the overall happiness score of each city. By analyzing these factors, we aim to gain insights into the living conditions and satisfaction of the population in urban environments.

The dataset consists of the following features:

• City: Name of the city.
• Month: The month in which the data is recorded.
• Year: The year in which the data is recorded.
• Decibel_Level: Average noise levels in decibels, indicating the auditory comfort of the citizens.
• Traffic_Density: Level of traffic density (Low, Medium, High, Very High), which might impact citizens' daily commute and stress levels.
• Green_Space_Area: Percentage of green spaces in the city, positively contributing to the mental well-being and relaxation of the inhabitants.
• Air_Quality_Index: Index measuring the quality of air, a crucial aspect affecting citizens' health and overall satisfaction.
• Happiness_Score: The average happiness score of the city (on a 1-10 scale), representing the subjective well-being of the population.
• Cost_of_Living_Index: Index measuring the cost of living in the city (relative to a reference city), which could impact the financial satisfaction of the citizens.
• Healthcare_Index: Index measuring the quality of healthcare in the city, an essential component of the population's well-being and contentment.

With these features, the dataset aims to analyze and understand the relationship between various urban factors and the happiness of a city's population. The developed Deep Q-Network model, PIYAAI_2, is designed to learn from this data to provide accurate predictions in future scenarios. Using Reinforcement Learning, the model is expected to improve its performance over time as it learns from new data and adapts to changes in the environment.

Regarding the focus of World Happiness Report 2024:

"In this issue of the World Happiness Report we focus on the happiness of people at different stages of life. In the seven ages of man in Shakespeare’s As You Like It, the later stages of life are portrayed as deeply depressing. But happiness research shows a more nuanced picture, and one that is changing over time. "

From Wikipedia: The World Happiness Report is a publication that contains articles and rankings of national happiness, based on respondent ratings of their own lives, which the report also correlates with various (quality of) life factors. As of March 2024, Finland has been ranked the happiest country in the world seven times in a row.

From 2024, the report is a publication of the Wellbeing Research Centre at the University of Oxford. The report primarily uses data from the Gallup World Poll. Each annual report is available to the public to download on the World Happiness Report website.

The data has been extracted from pdf using RStudio and tabulizer extraction tool.

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

According to a report on Chinese cities from 2024 that provided a ranking of their cultural vitality and quality of life, Shanghai led the list with a total composite score of ***. Beijing and Hangzhou came in second and third. The overall city ranking, which comprised ten subsets, was headed by China's capital Beijing.

🌍 Global Happiness, Wellbeing & Development Indicators (2002–2024)

Integrated OWID datasets on happiness, GDP, governance, corruption, freedom, HDI, and life expectancy.

⭐ Overview

This dataset is a curated integration of multiple global indicators related to happiness, wellbeing, governance, corruption, freedom, gender rights, economic prosperity, and demographic development. All files are sourced from Our World in Data (OWID) and represent harmonized, research-grade metrics used by economists, policy analysts, academics, and data professionals around the world.

The goal of this dataset is to provide a single, easy-to-use resource for exploring the key factors that influence national wellbeing and quality of life across more than 170 countries from 2002 to 2024.

⭐ What’s Included

This dataset brings together multiple dimensions of global wellbeing:

- Happiness & Life Satisfaction - Cantril Ladder (0–10 life evaluation) - Share of people reporting happiness - Time-series emotional wellbeing indicators

- Economic Indicators - GDP per capita (PPP, constant 2021$) - Historical population estimates

- Governance & Institutional Quality - Corruption Perception Index (CPI) - Freedom House civil & political liberties - Women’s civil rights index

- Human Development & Health - Augmented Human Development Index (AHDI) - Life expectancy at birth

Each file has been kept exactly as published by OWID, with no modification of values, ensuring full transparency and reproducibility.

⭐ Why This Dataset Matters

Understanding what drives national wellbeing is a central question in modern economics, social science, and development policy. This dataset enables powerful analysis such as:

• Which countries achieve high happiness at lower income levels?
• Does economic growth lead to improvements in wellbeing?
• How do corruption, freedom, and gender rights influence happiness?
• Which regions show consistent improvement in human development?
• How do life expectancy and governance interact with wellbeing trends?

This collection is ideal for:

• Exploratory Data Analysis (EDA)
• Cross-country comparisons
• Regression modelling & causal inference
• Time-series and panel-data analytics
• Dashboard development
• Machine learning experiments
• Academic and applied research

⭐ Data Source

All datasets are published by Our World in Data (OWID), using original data from:

• Gallup World Poll
• World Bank
• Transparency International
• UN Population Division
• V-Dem Institute
• Freedom House
• International survey archives

Licensed under Creative Commons BY 4.0.

⭐ Temporal & Geospatial Coverage

• Years: 2002–2024
• Countries: 170+
• Regions: All OWID regions (Africa, Asia, Americas, Europe, Oceania)

⭐ Intended Audience

• Data Analysts
• Data Scientists
• Policy Researchers
• Social Scientists
• Students & educators
• Kaggle learners
• Anyone interested in global wellbeing

⭐ Summary

This dataset provides a comprehensive, ready-to-use foundation for studying global happiness, development, and governance. Whether you’re building visualizations, statistical models, dashboards, or research papers, this single dataset gives you everything you need to explore what shapes human wellbeing around the world.

This dataset presents the latest relative measures of deprivation across England, compiling data for 33,755 LSOAs using the Index of Multiple Deprivation 2025 (IMD25) framework. It includes:

A ranking of neighbourhoods from most to least deprived, enabling comparative analysis rather than absolute measurement. Seven domain indices (Income; Employment; Education, Skills & Training; Health Deprivation & Disability; Crime; Barriers to Housing & Services; Living Environment) which are weighted and aggregated to form the overall IMD25. Two supplementary indices: the Income Deprivation Affecting Children Index (IDACI) and the Income Deprivation Affecting Older People Index (IDAOPI) Summary data for higher-level geographies (Local Authority Districts, Integrated Care Boards, etc) derived from the LSOA data.

Geographic unit: Administrative wards.

Temporal Reference This is a cross-sectional release representing a “snapshot” of relative deprivation. While previous versions (e.g., IoD2019) exist, changes to methodology, indicators and geographies mean that direct time-series comparisons should be approached with caution.

Purpose / Use Cases

To identify and compare areas of relative deprivation across England at small-area level. To support resource allocation, policymaking, service planning, and funding applications by local and national organisations. To explore the different domains of deprivation and their spatial patterns.

Caveats & Limitations

The indices measure relative deprivation only. A rank of “1” identifies the most deprived area relative to others, but this does not quantify the absolute extent of deprivation. The dataset does not identify deprived individuals nor does it measure affluence. Comparisons over time (especially across versions) are limited because of changes to data sources, indicator definitions, and geography. The data apply exclusively to England and should not be directly compared with similar indices from Wales, Scotland or Northern Ireland.

Methodological Summary

Indicators: 55 indicators used in this version (an increase from 39 in IoD2019) including new and revised measures of income benefit claimants, pupil absence, broadband connectivity, energy performance certificates, access to private gardens, noise pollution, and more. Domain weights: Income 22.5%; Employment 22.5%; Education/Skills 13.5%; Health 13.5%; Crime 9.3%; Barriers to Housing & Services 9.3%; Living Environment 9.3%. Extensive quality assurance and validation of indicators and inputs has been conducted.

View full release on GOV.UK