In 2024, Switzerland led the ranking of countries with the highest average wealth per adult, with approximately ******* U.S. dollars per person. The United States was ranked second with an average wealth of around ******* U.S. dollars per adult, followed by Hong Kong SAR. However, the figures do not show the actual distribution of wealth. The Gini index shows wealth disparities in countries worldwide. Does wealth guarantee a longer life? As the adage goes, “money can’t buy you happiness,” yet wealth and income are continuously correlated to the quality of life of individuals in different countries around the world. While greater levels of wealth may not guarantee a higher quality of life, it certainly increases an individual’s chances of having a longer one. Although they do not show the whole picture, life expectancy at birth is higher in the wealthier world regions. Does money bring happiness? A number of the world’s happiest nations also feature in the list of those countries for which average income was highest. Finland, however, which was the happiest country worldwide in 2022, is missing from the list of the top twenty countries with the highest wealth per adult. As such, the explanation for this may be the fact that a larger proportion of the population has access to a high-income relative to global levels. Measures of quality of life Criticism of the use of income or wealth as a proxy for quality of life led to the creation of the United Nations’ Human Development Index. Although income is included within the index, it also has other factors taken into account, such as health and education. As such, the countries with the highest human development index can be correlated to those with the highest income levels. That said, none of the above measures seek to assess the physical and mental environmental impact of a high quality of life sourced through high incomes. The happy planet index demonstrates that the inclusion of experienced well-being and ecological footprint in place of income and other proxies for quality of life results in many of the world’s materially poorer nations being included in the happiest.

According to the Hurun Global Rich List 2025, the United States housed the highest number of billionaires worldwide in 2025. In detail, there were *** billionaires living in the United States as of January that year. By comparison, *** billionaires resided in China. India, the United Kingdom, and Germany were also the homes of a significant number of billionaires that year. United States has regained its first place As the founder and exporter of consumer capitalism, it is no surprise that the United States is home to a large number of billionaires. Although China had briefly overtaken the U.S. recently, the United States has reclaimed its position as the country with the most billionaires in the world. Moreover, North America leads the way in terms of the highest number of ultra high net worth individuals – those with a net worth of more than ***** million U.S. dollars. The prominence of Europe and North America is a reflection of the higher degree of economic development in those states. However, this may also change as China and other emerging economies continue developing. Female billionaires Moreover, the small proportion of female billionaires does little to counter critics claiming the global economy is dominated by an elite comprised mainly of men. On the list of the richest people in the world, only *** were women. Moreover, recent political discourse has put a great amount of attention on the wealth held by the super-rich, with the wealth distribution of the global population being heavily unequal.

Countries With the the Highest Number of E-money Payments per Inhabitant, 2015 Discover more data with ReportLinker!

Estimates are that the value of international money transfers in the United States in 2022 was nearly ** times higher than in the United Kingdom. This is according to a model that tried to estimate the market size of international payments, such as remittances, across various countries worldwide. The source does not add much information. For instance, it does not clarify whether this includes all cross-border payments or whether it focuses on specific aspects of this industry - such as remittances by itself, or either the B2B or B2C segments. When compared to the 2021 KNOMAD figures - the "official" figures on remittances - regarding remittance outflow for the United States, the difference with the transaction value reported here was roughly ** billion U.S. dollars. The difference for outgoing remittances from the United Kingdom as reported by KNOMAD was also sizable. Both differences may be due to different market models and methodologies, although neither source goes into detail about this.

The average for 2022 based on 153 countries was 179.29 billion U.S. dollars. The highest value was in China: 8212.06 billion U.S. dollars and the lowest value was in Lebanon: -4.41 billion U.S. dollars. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

Global Mobile Money Account Adoption by Country, 2021 Discover more data with ReportLinker!

This dataset provides values for PERSONAL SPENDING reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Global Number of E-money Payments by Country, 2023 Discover more data with ReportLinker!

This dataset provides values for PERSONAL SAVINGS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The average for 2021 based on 125 countries was 37.7 percent. The highest value was in Iraq: 109.56 percent and the lowest value was in Slovakia: 11.01 percent. The indicator is available from 1998 to 2021. Below is a chart for all countries where data are available.

Worldwide, Luxembourg has the highest net national income per capita, reaching nearly ****** U.S. dollars in 2021. Norway and Switzerland followed behind. When adjusting for purchasing power parity (PPP), Bermuda has the highest average income or wealth per adult worldwide.

This dataset provides values for MONEY SUPPLY M3 reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Context

In 2013 alone, international migrants sent $413 billion home to families and friends. This money is known as "remittance money", and the total is more than three times that afforded by total global foreign aid ($135 billion). Remittances are traditionally associated with poor migrants moving outside of their home country to find work, supporting their families back home on their foreign wages; as a result, they make up a significant part of the economic picture for many developing countries in the world.

This dataset, published by the World Bank, provides estimates of 2016 remittance movements between various countries. It also provides historical data on the flow of such money going back to 1970.

For a look at how remittances play into the global economy, watch "The hidden force in global economics: sending money home".

Content

This dataset contains three files:

• bilateral-remittance.csv --- Estimated remittances between world countries in the year 2016.
• remittance-inflow.csv --- Historical remittance money inflow into world countries since 1970. Typically high in developing nations.
• remittance-outflow.csv --- Historical remittance money outflow from world countries since 1970. Typically high in more developed nations.

All monetary values are in terms of millions of US dollars.

For more information on how this data was generated and calculated, refer to the World Bank Remittance Data FAQ.

Acknowledgements

This dataset is a republished version of three of the tables published by the World Bank which has been slightly cleaned up for use on Kaggle. For the original source, and other complimentary materials, check out the dataset home page.

Inspiration

• What is the historical trend in remittance inflows and outflows for various countries? How does this relate to the developmental character of the countries in question?
• What countries send to most money abroad? What countries receive the most money from abroad? Try combining this dataset with a demographics dataset to see what countries are most and least reliant on income from abroad.
• How far do workers migrate for a job? Are they staying near home, or going half the world away? Are there any surprising facts about who send money to who?

The average for 2022 based on 110 countries was 17.45 percent. The highest value was in Norway: 31.34 percent and the lowest value was in the United Arab Emirates: 0.58 percent. The indicator is available from 1972 to 2024. Below is a chart for all countries where data are available.

This dataset provides values for CASH RESERVE RATIO reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for CAPITAL FLOWS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

See Methodology document for country-specific geographic coverage details.

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Observation data/ratings [obs]

Sampling procedure

The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world’s population (see Table A.1 of the Global Findex Database 2017 Report for a list of the economies included). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. Interview procedure Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or where this is the customary methodology. In most economies the fieldwork is completed in two to four weeks.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used.

Respondents are randomly selected within the selected households. Each eligible household member is listed and the handheld survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer’s gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Mode of data collection

Other [oth]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

Global Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider Among the Poorest 40% by Country, 2021 Discover more data with ReportLinker!

China's total Exports in 2024 were valued at US$3.58 Trillion, according to the United Nations COMTRADE database on international trade. China's main export partners were: the United States, Hong Kong and Vietnam. The top three export commodities were: Electrical, electronic equipment; Machinery, nuclear reactors, boilers and Vehicles other than railway, tramway. Total Imports were valued at US$2.59 Trillion. In 2024, China had a trade surplus of US$991.41 Billion.

The average for 2023 based on 161 countries was 91.52 billion U.S. dollars. The highest value was in China: 3449.54 billion U.S. dollars and the lowest value was in Sao Tome and Principe: 0.05 billion U.S. dollars. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.