In 2025, just over 45 percent of American households had an annual income that was less than 75,000 U.S. dollars. On the other hand, some 16 percent had an annual income of 200,000 U.S. dollars or more. The median household income in the country reached almost 84,000 U.S. dollars in 2024. Income and wealth in the United States After the economic recession in 2009, income inequality in the U.S. is more prominent across many metropolitan areas. The Northeast region is regarded as one of the wealthiest in the country. Massachusetts, New Hampshire, and Maryland were among the states with the highest median household income in 2024. In terms of income by race and ethnicity, the average income of Asian households was highest, at over 120,000 U.S. dollars, while the median income among Black households was around half of that figure. What is the U.S. poverty threshold? The U.S. Census Bureau annually updates the poverty threshold based on the income of various household types. As of 2023, the threshold for a single-person household was 15,480 U.S. dollars. For a family of four, the poverty line increased to 31,200 U.S. dollars. There were an estimated 38.9 million people living in poverty across the United States in 2024, which reflects a poverty rate of 10.6 percent.

The average pre-tax income of the top ten percent earners in Spain was over 120,000 euros at purchasing power parity (PPP) as of 2024, almost nine times more than the average income of the bottom half earners. Looking at the distribution of national income in Spain, the earnings of the least affluent half of the population equated to 21 percent of the total country income in 2024, 0.1 percentage points less than one decade earlier. Moreover, the top one percent of earners in Spain accounted for over ten percent of the overall national income.

The bottom 50 percent in Argentina earned on average 15,057 U.S. dollars at purchasing power parity (PPP) before income taxes as of 2022, while individuals in the top one percent earned pre-tax more than 686,433 dollars. Looking at the percentage distribution of wealth in Argentina, the poorest half held 5.7 percent of the total in 2021. Moreover, the top one percent in the South American country accounted for 25.7 percent of the overall national wealth.

This table shows the number of private households with income, both absolute as in percentages, broken down by 10 % groups of disposable income from households. The figures are broken down by country, province, COROP area, metropolitan agglomeration, city-west and municipality.

The data comes from the Regional Income Survey (RIO) 2006 of the CBS. The reference date is 1 January 2007; the income data relate to in the research year 2006. These are preliminary figures.

Frequency: one-off Because the municipal division can be changed every year, results from the RIO published for each individual research year; aggregation or division of municipalities has the effect that all information related to income in a newly formed or split the municipality can change significantly so that comparability over time it’s not possible.

Lithuania LT: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 37.400 % in 2015. This records a decrease from the previous number of 37.700 % for 2014. Lithuania LT: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 35.300 % from Dec 1993 (Median) to 2015, with 13 observations. The data reached an all-time high of 37.700 % in 2014 and a record low of 32.500 % in 2011. Lithuania LT: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Poverty. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Iran IR: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 38.800 % in 2014. This records an increase from the previous number of 37.400 % for 2013. Iran IR: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 43.600 % from Dec 1986 (Median) to 2014, with 9 observations. The data reached an all-time high of 47.400 % in 1986 and a record low of 37.400 % in 2013. Iran IR: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iran – Table IR.World Bank.WDI: Poverty. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Определение: Население с доходами ниже различных процентных долей от медианного дохода на душу населения в разбивке по географическим регионам [Переведено с en: английского языка] Тематическая область: Социальные показатели и статистика [Переведено с en: английского языка] Область применения: Распределение доходов [Переведено с en: английского языка] Единица измерения: Процент [Переведено с en: английского языка] Источник данных: На основе обследований домашних хозяйств в странах. Банк данных обследований домашних хозяйств (BADEHOG). [Переведено с es: испанского языка] Комментарии: Эти цифры соответствуют обновленной серии оценок, представленных в документе ЭКЛАК (2018) "Измерение бедности по доходам: обновление методологии и результаты". Они не сопоставимы с цифрами, опубликованными в публикациях ЭКЛАК до 2017 года. Показатели бедности, рассчитанные ЭКЛАК, рассчитаны с целью достижения максимально возможной степени сопоставимости для различных аналитических целей. Их цели и способы использования отличаются от национальных показателей, и они ни в коем случае не подменяют их при описании уровней и тенденций бедности в каждой стране. Банк данных обследований домашних хозяйств (BADEHOG): Банк данных обследований домашних хозяйств (BADEHOG) - это хранилище ЭКЛАК, состоящее из набора обследований домашних хозяйств, проведенных в странах Латинской Америки и Карибского бассейна с 1990-х годов. Эти обследования проводятся национальными статистическими управлениями или другими государственными учреждениями соответствующих стран и являются источником информации, официально используемой для измерения бедности, неравенства и различных социальных показателей. Результаты этих обследований передаются ЭКЛАК для использования в деятельности по развитию статистики в регионе, а также для подготовки институциональных и исследовательских документов. Имеющиеся базы данных используются для составления набора согласованных переменных, используемых для расчета социально-экономических показателей с максимально возможной сопоставимостью. [Переведено с es: испанского языка] Последнее обновление: Nov 30 2023 12:42AM Организация-источник: Экономическая комиссия для Латинской Америки и Карибского бассейна [Переведено с en: английского языка] Definition: Population with income below different percentages of the median per capita income by geographic area Thematic Area: Social Indicators and Statistics Application Area: Income distribution Unit of Measurement: Percentage Data Source: Based on household surveys in the countries. Household Survey Data Bank (BADEHOG). Comments: These figures correspond to an updated series of estimates, presented in the ECLAC document (2018), Measuring poverty by income: Methodological update and results. They are not comparable with the figures published in the ECLAC publications before 2017. The poverty figures estimated by ECLAC are calculated with the purpose of achieving the highest possible degree of comparability for various analytical purposes. Their objectives and uses are different from those of the national figures, and in no case do they seek to substitute them to describe the levels and trends of poverty in each country. Household Survey Data Bank (BADEHOG): The Household Survey Data Bank (BADEHOG) is a repository of ECLAC, made up of a set of household surveys conducted by the countries of Latin America and the Caribbean since the 1990s. These surveys are conducted by the National Statistics Offices or other public agencies of the respective countries and share the characteristic of being the source of information officially used to measure poverty, inequality and various social indicators. These surveys are shared with ECLAC for use in the region's statistical development activities, as well as to produce institutional and research documents. The available databases are used to construct a set of harmonized variables used to calculate socioeconomic indicators with the greatest possible comparability. Last Update: Nov 30 2023 12:42AM Source Organization: Economic Commission for Latin America and the Caribbean

Guyana was the South American country 20360the highest gross national income per capita, with 20,360 U.S. dollars per person in 2023. Uruguay ranked second, registering a GNI of 19,530 U.S. dollars per person, based on current prices. Gross national income (GNI) is the aggregated sum of the value added by residents in an economy, plus net taxes (minus subsidies) and net receipts of primary income from abroad. Which are the largest Latin American economies? Based on annual gross domestic product, which is the total amount of goods and services produced in a country per year, Brazil leads the regional ranking, followed by Mexico, Argentina, and Chile. Many Caribbean countries and territories hold the highest GDP per capita in this region, measurement that reflects how GDP would be divided if it was perfectly equally distributed among the population. GNI per capita is, however, a more exact calculation of wealth than GDP per capita, as it takes into consideration taxes paid and income receipts from abroad. How much inequality is there in Latin America? In many Latin American countries, more than half the total wealth created in their economies is held by the richest 20 percent of the population. When a small share of the population concentrates most of the wealth, millions of people don't have enough to make ends meet. For instance, in Brazil, about 5.32 percent of the population lives on less than 3.2 U.S. dollars per day.

Percentages for self-rated health, labour force status, income strain and class and mean for age by country for women.

BackgroundRelative to plant-based foods, animal source foods (ASFs) are richer in accessible protein, iron, zinc, calcium, vitamin B-12 and other nutrients. Because of their nutritional value, particularly for childhood growth and nutrition, it is important to identify factors influencing ASF consumption, especially for poorer households that generally consume less ASFs.ObjectiveTo estimate differential responsiveness of ASF consumption to changes in total household expenditures for households with different expenditures in a middle-income country with substantial recent income increases.MethodsThe Peruvian Young Lives household panel (n = 1750) from 2002, 2006 and 2009 was used to characterize patterns of ASF expenditures. Multivariate models with controls for unobserved household fixed effects and common secular trends were used to examine nonlinear relationships between changes in household expenditures and in ASF expenditures.ResultsHouseholds with lower total expenditures dedicated greater percentages of expenditures to food (58.4% vs.17.9% in 2002 and 24.2% vs. 21.5% in 2009 for lowest and highest quintiles respectively) and lower percentages of food expenditures to ASF (22.8% vs. 33.9% in 2002 and 30.3% vs. 37.6% in 2009 for lowest and highest quintiles respectively). Average percentages of overall expenditures spent on food dropped from 47% to 23.2% between 2002 and 2009. Households in the lowest quintiles of expenditures showed greater increases in ASF expenditures relative to total consumption than households in the highest quintiles. Among ASF components, meat and poultry expenditures increased more than proportionately for households in the lowest quintiles, and eggs and fish expenditures increased less than proportionately for all households.ConclusionsIncreases in household expenditures were associated with substantial increases in consumption of ASFs for households, particularly households with lower total expenditures. Increases in ASF expenditures for all but the top quintile of households were proportionately greater than increases in total food expenditures, and proportionately less than overall expenditures.

Frequency and percentages of the income gap between February and June 2020 according to area and gender.

In total, about 60.4 percent of U.S. households paid income tax in 2025. The remaining 39.6 percent of households paid no individual income tax. In that same year, about 56.9 percent of U.S. households with an income between 40,000 and 50,000 U.S. dollars paid no individual income taxes.

Among OECD member countries, the United States had the ******* percentage of gross domestic product spent on health care as of 2024. The U.S. spent nearly **** percent of its GDP on health care services. Germany, Austria, and Germany followed the U.S. with distinctly smaller percentages. The United States had both significantly higher private and public spending on health compared with other developed countries. Why compare OECD countries? OECD stands for Organization for Economic Co-operation and Development. It is an economic organization consisting of 38 members, mostly high-income countries and committed to democratic principles and market economy. This makes OECD statistics more comparable than statistics of developed and undeveloped countries. Health economics is an important matter for the OECD, even more since increasing health costs and an aging population have become an issue for many developed countries. Health costs in the U.S. A higher GDP share spent on health care does not automatically lead to a better functioning health system. In the case of the U.S., high spending is mainly because of higher costs and prices, not due to higher utilization. For example, physicians’ salaries are much higher in the U.S. than in other comparable countries. A doctor in the U.S. earns more than ***** as much as the average physician in Germany. Pharmaceutical spending per capita is also distinctly higher in the United States. Furthermore, the U.S. also spends more on health administrative costs compared to other wealthy countries.

In 2023, the average net personal wealth among the most affluent one percent of Spanish population was 5.15 million euros. On the other side, the wealth of bottom 50 percent of the wealth holders in the country was estimated at 14,700 euros. When looking at the evolution of wealth distribution in Spain during the last decades, it can be observed, that the share of wealth held by the least affluent half of the population is now lower than it was at the beginning of the 21th century.

Nigeria NG: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 43.000 % in 2009. This records an increase from the previous number of 40.100 % for 2003. Nigeria NG: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 43.000 % from Dec 1985 (Median) to 2009, with 5 observations. The data reached an all-time high of 51.900 % in 1996 and a record low of 38.700 % in 1985. Nigeria NG: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Poverty. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.