As of 2022, Israel had the highest price level index among listed countries, amounting to 138, with 100 being the average of OECD countries. Switzerland and Iceland followed on the places behind. On the other hand, Turkey and India had the lowest price levels compared to the OECD average. This price index shows differences in price levels in different countries. Another very popular index indicating the value of money is the Big Mac index, showing how much a Big Mac costs in different countries. This list was also topped by Switzerland in 2023.

There is more to life than the cold numbers of GDP and economic statistics. This dataset contains the 2018 data of the Better Life Index which allows you to compare well-being across countries as well as measuring well-being, based on 11 topics the OECD has identified as essential, in the areas of material living conditions and quality of life. Abstract: Your Better Life Index aims to involve citizens in the debate on measuring the well-being of societies, and to empower them to become more informed and engaged in the policy-making process that shapes all our lives. Each of the 11 topics of the Index is currently based on one to three indicators. Within each topic, the indicators are averaged with equal weights. The indicators have been chosen on the basis of a number of statistical criteria such as relevance (face-validity, depth, policy relevance) and data quality (predictive validity, coverage, timeliness, cross-country comparability etc.) and in consultation with OECD member countries. These indicators are good measures of the concepts of well-being, in particular in the context of a country comparative exercise. Other indicators will gradually be added to each topic. Notes: Data cannot be compared between different editions of the Better Life Index. For more information on change over time, please contact wellbeing@oecd.org.

This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: Government at a Glance website

Of the countries included, South Africa had the highest income inequality, with a Gini coefficient of 0.62. It was also the country with the highest inequality level worldwide. Of the OECD members, Costa Rica had the highest income inequality, whereas Slovakia had the lowest.

Out of all OECD countries, Cost Rica had the highest poverty rate as of 2022, at over 20 percent. The country with the second highest poverty rate was the United States, with 18 percent. On the other end of the scale, Czechia had the lowest poverty rate at 6.4 percent, followed by Denmark.

The significance of the OECD

The OECD, or the Organisation for Economic Co-operation and Development, was founded in 1948 and is made up of 38 member countries. It seeks to improve the economic and social well-being of countries and their populations. The OECD looks at issues that impact people’s everyday lives and proposes policies that can help to improve the quality of life.

Poverty in the United States

In 2022, there were nearly 38 million people living below the poverty line in the U.S.. About one fourth of the Native American population lived in poverty in 2022, the most out of any ethnicity. In addition, the rate was higher among young women than young men. It is clear that poverty in the United States is a complex, multi-faceted issue that affects millions of people and is even more complex to solve.

This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: Government at a Glance website

This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to the public finance under the System of national accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: Government at a Glance website

Since 2016, the Sustainable Development Report (SDR) has provided the most up-to-date data available to track and rank the performance of all UN member states on the SDGs. Eighty years after the creation of the UN system, the report also provides improved and updated measures to track countries' efforts to support UN-based multilateralism. In total, more than 200,000 individual data points are used to produce 200+ country and regional SDG profiles. This year's edition was authored by a group of independent experts at the SDG Transformation Center, an initiative of the SDSN.This year's SDR emphasizes the following eight key message:Global commitment to the SDGs is strong: 190 out of 193 countries have presented national action plans for advancing sustainable development. A decade after the adoption of Agenda 30 and the SDGs, 190 of the 193 UN member states have participated in the Voluntary National Review (VNR) process, presenting their SDG implementation plans and sustainable development priorities to the international community. The European Union and State of Palestine have also presented VNRs. Most UN member states have presented two or more VNRs, and 39 countries volunteered to present one in 2025. Only three UN member states have not taken part in the VNR process: Haiti, Myanmar, and the United States. Additionally, a growing number of regional and local leaders have prepared Voluntary Local Reviews (VLRs) to report on SDG implementation at the subnational level. As of March 2025, 249 VLRs were listed on the dedicated UN websiteEast and South Asia has outperformed all other regions in SDG progress since 2015. This year's SDR introduces a streamlined SDG Index (SDGi), which uses 17 headline indicators to track overall SDG progress. On average, East and South Asia has shown the fastest progress on the SDGs since 2015, driven notably by rapid progress on the socioeconomic targetOther countries that have progressed more rapidly than their peers include the following: Benin (Sub-Saharan Africa), Nepal (East and South Asia), Peru (Latin America and the Caribbean), the United Arab Emirates (Middle East and North Africa), Uzbekistan (Eastern Europe and Central Asia), Costa Rica (OECD), and Saudi Arabia (G20)European countries continue to top the SDG Index. Finland ranks first this year and 19 of the top 20 countries are in Europe. Yet even these countries face significant challenges in achieving at least two goals, including those related to climate and biodiversity. In this year's SDG Index, China (#49) and India (#99) have entered the top 50 and top 100 performers respectivelyOn average globally, the SDGs are far off-track. At the global level, none of the 17 goals are currently on course to be achieved by 2030. Conflicts, structural vulnerabilities, and limited fiscal space impede SDG progress in many parts of the world. But while only 17 percent of the targets are on track to be achieved worldwide, most UN member states have made strong progress on targets related to access to basic services and infrastructure, including mobile broadband use (SDG 9), access to electricity (SDG 7), internet use (SDG 9), under-5 mortality rate (SDG 3), and neonatal mortality (SDG 3)Barbados ranks first and the United States ranks last in UN-based multilateralism. Barbados stands out as the country most committed to UN-based multilateralism, while the United States ranks last in this year's Index of countries' support for UN-based multilateralism (UN-Mi). In early 2025, the United States announced its withdrawal from the Paris Climate Agreement and the World Health Organization (WHO) and formally declared its opposition to the SDGs and the 2030 Agenda. Among G20 countries, Brazil is the most committed to UN-based multilateralism, with Chile leading among OECD countries For many developing countries, a lack of fiscal space is the major obstacle to SDG progress. Roughly half the world's population lives in countries that cannot invest adequately in sustainable development due to debt burdens and a lack of access to affordable, long-term capital. Global public goods are vastly under-financed. UN member states gathering at the 4th International Conference on Financing for Development (FfD4) in Seville, Spain (June 30 – July 3, 2025) have an enormous responsibility, not only to their own citizens but to all of humanitySustainable development offers high returns: capital should flow to the emerging and developing countries on more favourable terms. The Global Financial Architecture (GFA) is broken. Money flows readily to rich countries and not to the emerging and developing economies (EMDEs) that offer higher growth potential and rates of return. At the top of the agenda at FfD4 is the need to reform the GFA so that capital flows in far larger sums to the EMDEs. Part 1 of this report (also published online by the SDSN in May 2025) offers practical recommendations to scale up and align international financing flows to support global public goods and achieve sustainable development.About the AuthorsProf. Jeffrey Sachs, Director, SDSN; Project Director of the SDG IndexJeffrey D. Sachs is a world-renowned professor of economics, leader in sustainable development, senior UN advisor, bestselling author, and syndicated columnist whose monthly newspaper columns appear in more than 100 countries. He is the co-recipient of the 2015 Blue Planet Prize, the leading global prize for environmental leadership, and many other international awards and honors. He has twice been named among Time magazine’s 100 most influential world leaders. He was called by the New York Times, “probably the most important economist in the world,” and by Time magazine, “the world’s best known economist.” A survey by The Economist in 2011 ranked Professor Sachs as amongst the world’s three most influential living economists of the first decade of the 21st century.Professor Sachs serves as the Director of the Center for Sustainable Development at Columbia University. He is University Professor at Columbia University, the university’s highest academic rank. During 2002 to 2016 he served as the Director of the Earth Institute. Sachs is Special Advisor to United Nations Secretary-General António Guterres on the Sustainable Development Goals, and previously advised UN Secretary-General Ban Ki-moon on both the Sustainable Development Goals and Millennium Development Goals and UN Secretary-General Kofi Annan on the Millennium Development Goals.Guillaume Lafortune Director, SDSN Paris; Scientific Co-Director of the SDG IndexGuillaume Lafortune took up his duties as Director of SDSN Paris in January 2021. He joined SDSN in 2017 to coordinate the production of the Sustainable Development Report and other projects on SDG data and statistics.Previously, he has served as an economist at the Organisation for Economic Co-operation and Development (OECD) working on public governance reforms and statistics. He was one of the lead advisors for the production of the 2015 and 2017 flagship statistical report Government at a Glance. He also contributed to analytical work related to public sector efficiency, open government data and citizens’ satisfaction with public services. Earlier, Guillaume worked as an economist at the Ministry of Economic Development in the Government of Quebec (Canada). Guillaume holds a M.Sc in public administration from the National School of Public Administration (ENAP) in Montreal and a B.Sc in international economics from the University of Montreal.Contact: guillaume.lafortune@unsdsn.org Grayson Fuller Manager, SDG Index & Data team, SDSNGrayson Fuller is the lead statistician and senior manager for the SDG Index, and of the team working on SDG data and statistics at SDSN. He is co-author of the Sustainable Development Report, for which he manages the data, coding, and statistical analyses. He also coordinates the production of regional and subnational editions of the SDG Index, in addition to other statistical reports, in collaboration with national governments, NGOs and international organizations such as the WHO, UNDP and the European Commission. Grayson received his Masters degree in Economic Development at Sciences Po Paris. He holds a Bachelors in Romance Languages and Latin American Studies from Harvard University, where he graduated cum laude. Grayson has lived in several Latin American countries and speaks English, Spanish, French, Portuguese and Italian. He enjoys playing the violin, rock-climbing and taking care of his numerous plants in his free time.Contact: grayson.fuller@unsdsn.orgGuilherme Iablonovski GIS Specialist, SDG Index & Data team, SDSNGuilherme Iablonovski is a Geospatial Data Specialist at SDSN, where he conceptualizes and develops new geospatial indicators to measure important aspects of the Sustainable Development Goals. He holds a M.Sc in Urban and Environmental Planning from the Ecole d'Urbanisme de Paris, where his research focused on urban metabolism, environmental sustainability and universal scaling laws. Before joining SDSN, Guilherme worked as a solutions engineer for Esri and as geospatial data scientist for humanitarian organizations such as the World Bank, the Red Cross and UNEP. He also teaches GIS at the Peace Studies Master Programme at Université Paris-Dauphine PSL.Contact: guilherme.iablonovski@unsdsn.org---About the PublishersDublin University Press Dublin University Press is Ireland’s oldest printing and publishing house with its origins in Trinity College Dublin in 1734. The mission of Dublin University Press is to benefit society through scholarly communication, education, research and discourse. To further this goal, the Press operates as an open, innovative and inclusive channel for high quality scholarly publishing with an emphasis on equity, diversity and inclusion and with full support for author copyright retention, open access and open scholarship. As an independent, non-profit,

The OECD Income Distribution database (IDD) has been developed to benchmark and monitor countries' performance in the field of income inequality and poverty. It contains a number of standardised indicators based on the central concept of "equivalised household disposable income", i.e. the total income received by the households less the current taxes and transfers they pay, adjusted for household size with an equivalence scale. While household income is only one of the factors shaping people's economic well-being, it is also the one for which comparable data for all OECD countries are most common. Income distribution has a long-standing tradition among household-level statistics, with regular data collections going back to the 1980s (and sometimes earlier) in many OECD countries.

Achieving comparability in this field is a challenge, as national practices differ widely in terms of concepts, measures, and statistical sources. In order to maximise international comparability as well as inter-temporal consistency of data, the IDD data collection and compilation process is based on a common set of statistical conventions (e.g. on income concepts and components). The information obtained by the OECD through a network of national data providers, via a standardized questionnaire, is based on national sources that are deemed to be most representative for each country.

Small changes in estimates between years should be treated with caution as they may not be statistically significant.

Fore more details, please refer to: https://www.oecd.org/els/soc/IDD-Metadata.pdf and https://www.oecd.org/social/income-distribution-database.htm

In 2023, Singapore dominated the ranking of the world's health and health systems, followed by Japan and South Korea. The health index score is calculated by evaluating various indicators that assess the health of the population, and access to the services required to sustain good health, including health outcomes, health systems, sickness and risk factors, and mortality rates. The health and health system index score of the top ten countries with the best healthcare system in the world ranged between 82 and 86.9, measured on a scale of zero to 100.

Global Health Security Index  Numerous health and health system indexes have been developed to assess various attributes and aspects of a nation's healthcare system. One such measure is the Global Health Security (GHS) index. This index evaluates the ability of 195 nations to identify, assess, and mitigate biological hazards in addition to political and socioeconomic concerns, the quality of their healthcare systems, and their compliance with international finance and standards. In 2021, the United States was ranked at the top of the GHS index, but due to multiple reasons, the U.S. government failed to effectively manage the COVID-19 pandemic. The GHS Index evaluates capability and identifies preparation gaps; nevertheless, it cannot predict a nation's resource allocation in case of a public health emergency.

Universal Health Coverage Index  Another health index that is used globally by the members of the United Nations (UN) is the universal health care (UHC) service coverage index. The UHC index monitors the country's progress related to the sustainable developmental goal (SDG) number three. The UHC service coverage index tracks 14 indicators related to reproductive, maternal, newborn, and child health, infectious diseases, non-communicable diseases, service capacity, and access to care. The main target of universal health coverage is to ensure that no one is denied access to essential medical services due to financial hardships. In 2021, the UHC index scores ranged from as low as 21 to a high score of 91 across 194 countries. 

This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to government revenue and expenditure disaggregation by economic transactions under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: Government at a Glance website

In 2025, Luxembourg was the country with the highest gross domestic product per capita in the world. Of the 20 listed countries, 13 are in Europe and five are in Asia, alongside the U.S. and Australia. There are no African or Latin American countries among the top 20. Correlation with high living standards While GDP is a useful indicator for measuring the size or strength of an economy, GDP per capita is much more reflective of living standards. For example, when compared to life expectancy or indices such as the Human Development Index or the World Happiness Report, there is a strong overlap - 14 of the 20 countries on this list are also ranked among the 20 happiest countries in 2024, and all 20 have "very high" HDIs. Misleading metrics? GDP per capita figures, however, can be misleading, and to paint a fuller picture of a country's living standards then one must look at multiple metrics. GDP per capita figures can be skewed by inequalities in wealth distribution, and in countries such as those in the Middle East, a relatively large share of the population lives in poverty while a smaller number live affluent lifestyles.

The adult employment-to-population in 2022 was higher in Iceland than any other Organization for Economic Cooperation and Development (OECD) country, at 83.3 percent. The Netherlands ranked second with nearly 82 percent. On the other hand, it was lowest in Türkiye. The average for the entire bloc was 67.8. The employment-to-population ratio is a valuable addition to the unemployment rate because it includes the entire adult population, whereas the unemployment rate only considers those who are working or actively seeking a job, that is, only the workforce.

The income data of 20 OECD countries are used to demonstrate the performance of Paul and Shankar [3]’s functional form and those of the other popular functional forms based on MSE.

This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to expenditures, investment and procurement spending disaggregated according to the Classification of the Functions of Government (COFOG) under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: Government at a Glance website

Comparing the *** selected regions regarding the gini index , South Africa is leading the ranking (**** points) and is followed by Namibia with **** points. At the other end of the spectrum is Slovakia with **** points, indicating a difference of *** points to South Africa. The Gini coefficient here measures the degree of income inequality on a scale from * (=total equality of incomes) to *** (=total inequality).The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

This dataset presents the percentage of births delivered by caesarean section in each country. Caesarean birth rates reflect access to surgical delivery when medically indicated, as well as the potential for overuse. Data are drawn from the OECD Data Explorer where available, and from UNICEF’s 'Delivery Care' dataset for other countries. Monitoring caesarean rates supports health system analysis, informed policy, and efforts to ensure safe, respectful, and appropriate delivery care worldwide.Data Sources: OECD: https://data-explorer.oecd.orgUNFPA: https://data.unicef.org/topic/maternal-health/delivery-care/ Data Dictionary: The data is collated with the following columns:Column headingContent of this columnPossible valuesRefNumerical counter for each row of data, for ease of identification1+CountryShort name for the country195 countries in total – all 194 WHO member states plus PalestineISO3Three-digit alphabetical codes International Standard ISO 3166-1 assigned by the International Organization for Standardization (ISO). e.g. AFG (Afghanistan)ISO22 letter identifier code for the countrye.g. AF (Afghanistan)ICM_regionICM Region for countryAFR (Africa), AMR (Americas), EMR (Eastern Mediterranean), EUR (Europe), SEAR (South east Asia) or WPR (Western Pacific)CodeUnique project code for each indicator:GGTXXnnnGG=data group e.g. OU for outcomeT = N for novice or E for ExpertXX = identifier number 00 to 30nnn = identifier name eg mmre.g. OUN01sbafor Outcome Novice Indicator 01 skilled birth attendance Short_nameIndicator namee.g. maternal mortality ratioDescriptionText description of the indicator to be used on websitee.g. Maternal mortality ratio (maternal deaths per 100,000 live births)Value_typeDescribes the indicator typeNumeric: decimal numberPercentage: value between 0 & 100Text: value from list of text optionsY/N: yes or noValue_categoryExpect this to be ‘total’ for all indicators for Phase 1, but this could allow future disaggregation, e.g. male/female; urban/ruraltotalYearThe year that the indicator value was reported. For most indicators, we will only report if 2014 or more recente.g. 2020Latest_Value‘LATEST’ if this is the most recent reported value for the indicator since 2014, otherwise ‘No’. Useful for indicators with time trend data.LATEST or NOValueIndicator valuee.g. 99.8. NB Some indicators are calculated to several decimal places. We present the value to the number of decimal places that should be displayed on the Hub.SourceFor Caesarean birth rate [OUN13cbr] ONLY, this column indicates the source of the data, either OECD when reported, or UNICEF otherwise.OECD or UNICEFTargetHow does the latest value compare with Global guidelines / targets?meets targetdoes not meet targetmeets global standarddoes not meet global standardRankGlobal rank for indicator, i.e. the country with the best global score for this indicator will have rank = 1, next = 2, etc. This ranking is only appropriate for a few indicators, others will show ‘na’1-195Rank out ofThe total number of countries who have reported a value for this indicator. Ranking scores will only go as high as this number.Up to 195TrendIf historic data is available, an indication of the change over time. If there is a global target, then the trend is either getting better, static or getting worse. For mmr [OUN04mmr] and nmr [OUN05nmr] the average annual rate of reduction (arr) between 2016 and latest value is used to determine the trend:arr <-1.0 = getting worsearr >=-1.0 AND <=1.0 = staticarr >1.0 = getting betterFor other indicators, the trend is estimated by comparing the average of the last three years with the average ten years ago:decreasing if now < 95% 10 yrs agoincreasing if now > 105% 10 yrs agostatic otherwiseincreasingdecreasing Or, if there is a global target: getting better,static,getting worseNotesClarification comments, when necessary LongitudeFor use with mapping LatitudeFor use with mapping DateDate data uploaded to the Hubthe following codes are also possible values:not reported does not apply don’t knowThis is one of many datasets featured on the Midwives’ Data Hub, a digital platform designed to strengthen midwifery and advocate for better maternal and newborn health services.

Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

In 2023, the United States had the highest gross household disposable income per capita in OECD countries adjusted for purchasing power parity. Their disposable income per capita was over ****** U.S. dollars. Luxembourg followed in second with around ****** U.S. dollars, with Switzerland in third.

Among the OECD countries, Canada had the highest proportion of adults with a tertiary education in 2022. About 63 percent of Canadians had achieved a tertiary education in that year. Japan followed with about 56 percent of the population having completed a tertiary education, while in Ireland the share was roughly 54 percent. In India, on the other hand, less than 13 percent of the adult population had completed a tertiary education in 2022.