This statistic shows the median household income in the United States from 1970 to 2020, by income tier. In 2020, the median household income for the middle class stood at 90,131 U.S. dollars, which was approximately a 50 percent increase from 1970. However, the median income of upper income households in the U.S. increased by almost 70 percent compared to 1970.

Graph and download economic data for Real Median Family Income in the United States (MEFAINUSA672N) from 1953 to 2023 about family, median, income, real, and USA.

United States US: Income Share Held by Highest 20% data was reported at 46.900 % in 2016. This records an increase from the previous number of 46.400 % for 2013. United States US: Income Share Held by Highest 20% data is updated yearly, averaging 46.000 % from Dec 1979 (Median) to 2016, with 11 observations. The data reached an all-time high of 46.900 % in 2016 and a record low of 41.200 % in 1979. United States US: Income Share Held by Highest 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. 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.

California State Income Limits reflect updated median income and household income levels for acutely low-, extremely low-, very low-, low- and moderate-income households for California’s 58 counties (required by Health and Safety Code Section 50093). These income limits apply to State and local affordable housing programs statutorily linked to HUD income limits and differ from income limits applicable to other specific federal, State, or local programs.

In 2021, the birth rate in the United States was highest in families that had under 10,000 U.S. dollars in income per year, at 62.75 births per 1,000 women. As the income scale increases, the birth rate decreases, with families making 200,000 U.S. dollars or more per year having the second-lowest birth rate, at 47.57 births per 1,000 women. Income and the birth rate Income and high birth rates are strongly linked, not just in the United States, but around the world. Women in lower income brackets tend to have higher birth rates across the board. There are many factors at play in birth rates, such as the education level of the mother, ethnicity of the mother, and even where someone lives. The fertility rate in the United States The fertility rate in the United States has declined in recent years, and it seems that more and more women are waiting longer to begin having children. Studies have shown that the average age of the mother at the birth of their first child in the United States was 27.4 years old, although this figure varies for different ethnic origins.

Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2023 about personal income, personal, median, income, real, and USA.

Relative concentration of the estimated number of people in the Southern California region that live in a household defined as "low income." There are multiple ways to define low income. These data apply the most common standard: low income population consists of all members of households that collectively have income less than twice the federal poverty threshold that applies to their household type. Household type refers to the household's resident composition: the number of independent adults plus dependents that can be of any age, from children to elderly. For example, a household with four people '€“ one working adult parent and three dependent children '€“ has a different poverty threshold than a household comprised of four unrelated independent adults. Due to high estimate uncertainty for many block group estimates of the number of people living in low income households, some records cannot be reliably assigned a class and class code comparable to those assigned to race/ethnicity data from the decennial Census. "Relative concentration" is a measure that compares the proportion of population within each Census block group data unit to the proportion of all people that live within the 13,312 block groups in the Southern California RRK region. See the "Data Units" description below for how these relative concentrations are broken into categories in this "low income" metric.

In 2023, about 26.9 percent of Asian private households in the U.S. had an annual income of 200,000 U.S. dollars and more. Comparatively, around 13.9 percent of Black households had an annual income under 15,000 U.S. dollars.

Philippines Average Family Income: By Income Class (IC): Annual data was reported at 267,000.000 PHP in 2015. This records an increase from the previous number of 235,000.000 PHP for 2012. Philippines Average Family Income: By Income Class (IC): Annual data is updated yearly, averaging 146,019.500 PHP from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 267,000.000 PHP in 2015 and a record low of 40,408.000 PHP in 1988. Philippines Average Family Income: By Income Class (IC): Annual data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H018: Family Income and Expenditure Survey: Average Annual Income and Expenditure: By Income Class.

Graph and download economic data for Population, Total for Low and Middle Income Countries (SPPOPTOTLLMY) from 1960 to 2023 about income and population.

Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars, annual.

United States US: Income Share Held by Highest 10% data was reported at 30.600 % in 2016. This records an increase from the previous number of 30.100 % for 2013. United States US: Income Share Held by Highest 10% data is updated yearly, averaging 30.100 % from Dec 1979 (Median) to 2016, with 11 observations. The data reached an all-time high of 30.600 % in 2016 and a record low of 25.300 % in 1979. United States US: Income Share Held by Highest 10% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. 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.

About half of the Polish population belonged to the middle class in April 2019. Nearly a third were lower-class, and the minority were upper-class. When considering only income, a larger share of the population was upper- and middle-class, whereas when considering the only occupation, a larger share was lower class.

The formation and stability of social hierarchies is a question of general relevance. Here, we propose a simple generalized theoretical model for establishing social hierarchy via pair-wise interactions between individuals and investigate its stability. In each interaction or fight, the probability of “winning” depends solely on the relative societal status of the participants, and the winner has a gain of status whereas there is an equal loss to the loser. The interactions are characterized by two parameters. The first parameter represents how much can be lost, and the second parameter represents the degree to which even a small difference of status can guarantee a win for the higher-status individual. Depending on the parameters, the resulting status distributions reach either a continuous unimodal form or lead to a totalitarian end state with one high-status individual and all other individuals having status approaching zero. However, we find that in the latter case long-lived intermediary distributions often exist, which can give the illusion of a stable society. As we show, our model allows us to make predictions consistent with animal interaction data and their evolution over a number of years. Moreover, by implementing a simple, but realistic rule that restricts interactions to sufficiently similar-status individuals, the stable or long-lived distributions acquire high-status structure corresponding to a distinct high-status class. Using household income as a proxy for societal status in human societies, we find agreement over their entire range from the low-to-middle-status parts to the characteristic high-status “tail”. We discuss how the model provides a conceptual framework for understanding the origin of social hierarchy and the factors which lead to the preservation or deterioration of the societal structure.

In the financial year 2021, the number of super-rich households earning more than 20 million Indian rupees went up to 1.81 million from 1.06 million in the financial year 2016. This was an annual growth of 11.3 percent. The number is expected to grow to over nine million in the financial year 2031 and 32 million households in the financial year 2047. This will be the fastest growth across all income categories. On the other hand, destitute classified Indian households with earnings of less than 125 thousand annually decreased only marginally to 45.17 million in financial year 2021 from 46.5 million in 2016. However, it is estimated that the number of destitute households will fall to just 7.2 million by the financial year 2047.

Part A. Heinz Müller: The income structure in several German states, 1874-1913. The entire material of this study was developed by the institute for regional politics and transportation science at the University of Freiburg. The first part of the study deals with an analysis of the income structure (=personnel income distribution) in chosen German states for the period from 1873 to 1913. Analysis of income structures can be planned and realized with different aims and with the use of different methods. The following structuring of income recipients is most commonly used: a) By sources of income b) By the income of sociologically important recipient groups c) By income level The structuring by income sources addresses a registration of the functional income distribution. This is instructive but difficult to carry out. For example it is hardly possible to subdivide the income resulting from entrepreneurial activity in the structural components as this term includes employer´s salary, basic pension for entrepreneurs, enterprise interests and entrepreneurial profit. Even theoretically it is difficult to subdivide income resulting from entrepreneurial activity in these components but in the practical implementation this division faces insurmountable difficulties. On the other hand such a structuring is an important perquisite for a proper analysis of income sources especially in the area of agriculture. Another criteria used for classification is the division by sociologically important recipient groups. The aim of such an analysis could be to estimate the share of specific groups of persons in the national income and the changes that are taking place in the process of economic development. Alternatively such an analysis can be based on a division in economic sectors; one could estimate for example the share of agriculture or services in the national income and its changes over time. Also this procedure allows interesting conclusions on social and economic development of the national economy. The third and particularly important criterion consists in the division by income level. This type of investigation serves to generate important findings on the social and economic situation and development of different income groups. Development of wealth within a national economy can be assessed looking at the economic situation of the lower income classes in relation to the higher classes and on how fast one class integrates into another. These three different types of structuring of income recipients can be combined with each other. Doings so one can generate more insights on the development of the industrialization process co pared to using only one classification type (Müller, Heinz/Geisenberger, Siegfried, 1972: Die Einkommensstruktur in verschiedenen deutschen Ländern 1874-1913. Berlin: Duncker & Humblot, S. 13f). The first part of the study exclusively deals with the investigation of the income size structure. These are the summarized results for the investigation on the temporal development of distribution coefficients:

(1) Differentiated according to the different states The share of the very highest incomes in the total income is increasing in all states (Besides Hesse) during the investigation period.

(2) Differentiated according to the surveyed areas According to the distribution coefficient and its development over time one can say that developments differ a lot between rural and industrial areas.

Part B. Siegfried Geisenberger: Important determinants for changes in the income structure. An attempt of an economic interpretation of the development in Prussia 1874-1913. The results from the first part of the investigation gave the impulse for further investigations at the institute of regional politics and transportation science (University of Freiburg). They wanted to investigate the development of the distribution situation for further regions and to control for different income tax laws in several states. The typical differences in the development of income distribution between rural and industrial areas could also be detected for the Prussian governmental districts. The second part of the investigation aims to explain this phenomenon using theoretical economic and statistical instruments.

Register of tables in HISTAT: A. Data on income structure in Prussia and in chosen Prussian governmental districts A.1 Data on income structure in Prussia (1874-1913) A.2 Data on income structure in Prussia, governme...

In the financial year 2021, a majority of Indian households fell under the aspirers category, earning between 125,000 and 500,000 Indian rupees a year. On the other hand, about three percent of households that same year, accounted for the rich, earning over 3 million rupees annually. The middle class more than doubled that year compared to 14 percent in financial year 2005.

Middle-class income group and the COVID-19 pandemic

During the COVID-19 pandemic specifically during the lockdown in March 2020, loss of incomes hit the entire household income spectrum. However, research showed the severest affected groups were the upper middle- and middle-class income brackets. In addition, unemployment rates were rampant nationwide that further lead to a dismally low GDP. Despite job recoveries over the last few months, improvement in incomes were insignificant.

Economic inequality

While India maybe one of the fastest growing economies in the world, it is also one of the most vulnerable and severely afflicted economies in terms of economic inequality. The vast discrepancy between the rich and poor has been prominent since the last three decades. The rich continue to grow richer at a faster pace while the impoverished struggle more than ever before to earn a minimum wage. The widening gaps in the economic structure affect women and children the most. This is a call for reinforcement in in the country’s social structure that emphasizes access to quality education and universal healthcare services.

Colombia Consumer Price Index (CPI): Low Income: Ambulance & Hospitalization Services data was reported at 143.190 Dec2008=100 in Dec 2018. This records an increase from the previous number of 143.130 Dec2008=100 for Nov 2018. Colombia Consumer Price Index (CPI): Low Income: Ambulance & Hospitalization Services data is updated monthly, averaging 100.640 Dec2008=100 from Jan 1999 (Median) to Dec 2018, with 240 observations. The data reached an all-time high of 143.190 Dec2008=100 in Dec 2018 and a record low of 51.259 Dec2008=100 in Jan 1999. Colombia Consumer Price Index (CPI): Low Income: Ambulance & Hospitalization Services data remains active status in CEIC and is reported by National Administrative Department of Statistics. The data is categorized under Global Database’s Colombia – Table CO.I021: Consumer Price Index: by Product Class: COICOP: Dec2008=100.