China Banks' Wealth Management Product: Wealth Index data was reported at 110.640 Jan2016=100 in May 2018. This records an increase from the previous number of 110.220 Jan2016=100 for Apr 2018. China Banks' Wealth Management Product: Wealth Index data is updated monthly, averaging 108.490 Jan2016=100 from Jul 2017 (Median) to May 2018, with 11 observations. The data reached an all-time high of 110.640 Jan2016=100 in May 2018 and a record low of 106.480 Jan2016=100 in Jul 2017. China Banks' Wealth Management Product: Wealth Index data remains active status in CEIC and is reported by Puyi Standard. The data is categorized under China Premium Database’s Financial Market – Table CN.ZAM: Banks' Wealth Management Product: Index Series.

Graph and download economic data for All Sectors; U.S. Wealth, Percent Change in Index (BOGZ1PC892090005Q) from Q4 1946 to Q1 2025 about wealth, sector, and USA.

Data corresponding to household socioeconomic characteristics collected in a demographic survey conducted in Mopeia district (Zambezia province, Mozambique).

Wealth indicators and distributions, by household characteristics such as income quintile, age, housing tenure and composition, Canada, regions and provinces, annual 2010 to 2019 and quarterly starting 2020.

This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Characteristics (13 items: All households; Lowest income quintile; Second income quintile; Third income quintile; ...); Net worth indicators (wealth) (17 items: Financial assets as a share of total assets; Life insurance and pensions as a share of total assets; Other financial assets as a share of total assets; Non-financial assets as a share of total assets; ...).

Graph and download economic data for All Sectors; U.S. Wealth, Percent Change in Index (BOGZ1PC892090005A) from 1946 to 2024 about wealth, sector, and USA.

Preliminary estimates for Great Britain from the Wealth and Assets Survey using attitudinal data not dependent on thorough checking and imputation methodology.

In 2023, Switzerland led the ranking of countries with the highest average wealth per adult, with approximately ******* U.S. dollars per person. Luxembourg 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 old 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 the 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.

Standard error information for total mean, median and change of total wealth and its components.

Preliminary estimates for Great Britain from the Wealth and Assets Survey using attitudinal data around individuals' attitudes towards saving for retirement, not dependent on thorough checking and imputation methodology.

Wealth indicators and distributions, by household characteristics such as income quintile, age, housing tenure and composition, Canada, annual 2010 to 2019 and quarterly starting 2020.

Regional index for the theme Income and wealth is based on the indicators Indigenous 0-19 years in economically vulnerable households, share (%), Populations 18-64 years with low income, share (%), Net income, median income for residents in Sweden all year 20+ years, tkr, inhabitants 16-84 years who have experienced economic crisis, share (%). The KPIs are normalised so that all regions’ values are placed on a scale from 0 to 100 where 0 is the worst and 100 is best (for some indicators, inverted scale is used). In the next step, the normalised indicator values are weighed together into indices at aspect level (currently, the theme is based on indicators in two aspects). This is done with averages, all indicators weighed together with the same weight in each aspect. Then the index at aspect level is weighed together to the thematic level according to the same principle and these values also fall between 0 and 100. The weighting is equal for all aspects of the theme.

Series Name: Adjusted wealth parity index for completion rate by sex location wealth quintile and education levelSeries Code: SE_AWP_CPRARelease Version: 2020.Q2.G.03This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 4.5.1: Parity indices (female/male, rural/urban, bottom/top wealth quintile and others such as disability status, indigenous peoples and conflict-affected, as data become available) for all education indicators on this list that can be disaggregatedTarget 4.5: By 2030, eliminate gender disparities in education and ensure equal access to all levels of education and vocational training for the vulnerable, including persons with disabilities, indigenous peoples and children in vulnerable situationsGoal 4: Ensure inclusive and equitable quality education and promote lifelong learning opportunities for allFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

China Banks' Wealth Management Product: Price Index data was reported at 101.710 Jan2016=100 in Oct 2018. This records a decrease from the previous number of 103.190 Jan2016=100 for Sep 2018. China Banks' Wealth Management Product: Price Index data is updated monthly, averaging 108.010 Jan2016=100 from Jul 2017 (Median) to Oct 2018, with 16 observations. The data reached an all-time high of 113.660 Jan2016=100 in Feb 2018 and a record low of 101.710 Jan2016=100 in Oct 2018. China Banks' Wealth Management Product: Price Index data remains active status in CEIC and is reported by Puyi Standard. The data is categorized under China Premium Database’s Financial Market – Table CN.ZAM: Banks' Wealth Management Product: Index Series.

In 2023, roughly 1.49 billion adults worldwide had a net worth of less than 10,000 U.S. dollars. By comparison, 58 million adults had a net worth of more than one million U.S. dollars in the same year. Wealth distribution The distribution of wealth is an indicator of economic inequality. The United Nations says that wealth includes the sum of natural, human, and physical assets. Wealth is not synonymous with income, however, because having a large income can be depleted if one has significant expenses. In 2023, nearly 1,700 billionaires had a total wealth between one to two billion U.S. dollars. Wealth worldwide China had the highest number of billionaires in 2023, with the United States following behind. That same year, New York had the most billionaires worldwide.

Preliminary estimates for Great Britain from the Wealth and Assets Survey using attitudinal data on individuals' attitudes towards pensions, not dependent on thorough checking and imputation methodology.

United States - Share of Miscellaneous Assets Held by the Top 1% (99th to 100th Wealth Percentiles) was 7.80000 % of Aggregate in October of 2024, according to the United States Federal Reserve. Historically, United States - Share of Miscellaneous Assets Held by the Top 1% (99th to 100th Wealth Percentiles) reached a record high of 11.10000 in October of 2002 and a record low of 7.40000 in October of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Share of Miscellaneous Assets Held by the Top 1% (99th to 100th Wealth Percentiles) - last updated from the United States Federal Reserve on May of 2025.

Municipal index for the theme Income and wealth is based on the indicators Indigenous 0-19 years in economically vulnerable households, share (%), Population aged 18-64 with low income, share (%), Net income, median income for residents in Sweden all year 20+ years, tkr, inhabitants 16-84 years who have experienced economic crisis, share (%). The KPIs are normalised so that all municipalities’ values are placed on a scale from 0 to 100 where 0 is the worst and 100 is best (for some indicators, inverted scale is used). In the next step, the normalised indicator values are weighed together into indices at aspect level (currently, the theme is based on indicators in two aspects). This is done with averages, all indicators weighed together with the same weight in each aspect. Then the index at aspect level is weighed together to the thematic level according to the same principle and these values also fall between 0 and 100. The weighting is equal for all aspects of the theme.

"Neighborhood Financial Health (NFH) Digital Mapping and Data Tool provides neighborhood financial health indicator data for every neighborhood in New York City. DCWP's Office of Financial Empowerment (OFE) also developed NFH Indexes to present patterns in the data within and across neighborhoods. NFH Index scores describe relative differences between neighborhoods across the same indicators; they do not evaluate neighborhoods against fixed standards. OFE intends for the NFH Indexes to provide an easy reference tool for comparing neighborhoods, and to establish patterns in the relationship of NFH indicators to economic and demographic factors, such as race and income. Understanding these connections is potentially useful for uncovering systems that perpetuate the racial wealth gap, an issue with direct implications for OFE’s mission to expand asset building opportunities for New Yorkers with low and moderate incomes. This data tool was borne out of the Collaborative for Neighborhood Financial Health, a community-led initiative designed to better understand how neighborhoods influence the financial health of their residents.