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.

By 2030, the middle-class population in Asia-Pacific is expected to increase from **** billion people in 2015 to **** billion people. In comparison, the middle-class population of sub-Saharan Africa is expected to increase from *** million in 2015 to *** million in 2030. Worldwide wealth While the middle-class has been on the rise, there is still a huge disparity in global wealth and income. The United States had the highest number of individuals belonging to the top one percent of wealth holders, and the value of global wealth is only expected to increase over the coming years. Around ** percent of the world’s population had assets valued at less than 10,000 U.S. dollars, while less than *** percent had assets of more than one million U.S. dollars. Asia had the highest percentage of investable assets in the world in 2018, whereas Oceania had the highest percentage of non-investable assets. The middle-class The middle class is the group of people whose income falls in the middle of the scale. China accounted for over half of the global population for middle-class wealth in 2017. In the United States, the debate about the middle class “disappearing” has been a popular topic due to the increase in wealth among the top billionaires in the nation. Due to this, there have been arguments to increase taxes on the rich to help support the middle class.

The Pew Research Center defines the middle class as households that earn between two-thirds and double the median U.S. household income, which was $65,000 in 2021, according to the U.S. Census Bureau. Using this measure, middle income is made up of households making between $43,350 and $130,000 annually.This map isolates 7 income brackets within the middle class income range, and maps the relative predominance of each income range across the country for census tracts, counties, and states. The brackets defined in the map, drawn from ACS Household Income Distribution data, are as follows:Households whose income in the past 12 months was $125,000 to $149,999Households whose income in the past 12 months was $100,000 to $124,999Households whose income in the past 12 months was $75,000 to $99,999Households whose income in the past 12 months was $60,000 to $74,999Households whose income in the past 12 months was $50,000 to $59,999Households whose income in the past 12 months was $45,000 to $49,999Households whose income in the past 12 months was $40,000 to $44,999Click on each feature reveals more detailed information in the pop-up regarding the current predominant income bracket and compares these figures to historical data. Information included in the pop-up:The total number of homes falling into the predominant Middle Class income bracketThe total number of homes compared to the 2010 - 2014 ACS Household Income Distribution Variables.The percent change in homes within the predominant income bracket between the current ACS, and 2010 - 2014 ACS and whether or not this change is considered statistically significant.This map uses the most current release of data from the American Community Survey (ACS) about household income ranges and cutoffs. Web Map originally owned by Summers Cleary

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.

Graph and download economic data for Population, Total for Lower Middle Income Countries (SPPOPTOTLLMC) from 1960 to 2024 about income and population.

In 2024, the number of people living in the middle class and above in Indonesia amounted to over ***** million. In Brunei, over ***** thousand people were middle class and above, accounting for 100 percent of the country's population that year.

This folder contains files to help you replicate the analyses from the study "The Myth of the Middle Class Squeeze: Employment and Income by Class in Six Western Countries, 1980-2020". The study uses data from the Luxembourg Income Study (LIS, 2024). To access this data, you must request access to the LIS data by visiting this website: https://www.lisdatacenter.org/data-access/lissy/eligibility/. Once you have access, you can use the codes in this folder to analyze the data. The analysis was conducted in R, and all the packages used are included in the R scripts. Note: The LIS data are not directly accessible. Instead, researchers can access an online platform to submit their analysis codes. The platform then returns the results. You can't download or physically access the data, but you can still use the codes provided here to get the same results as the original study. The LIS regularly updates new modules and revises old ones. This project started in 2022 and, therefore, uses the selection of countries released in LIS in that year. The final execution of this set of modules was done in 2024. To ensure you get the same results, please select the modules in the code and run them on the 2024 release.

Disposable Income per Capita: Urban: Middle Income data was reported at 48,508.000 RMB in 2024. This records an increase from the previous number of 46,276.000 RMB for 2023. Disposable Income per Capita: Urban: Middle Income data is updated yearly, averaging 8,678.295 RMB from Dec 1985 (Median) to 2024, with 40 observations. The data reached an all-time high of 48,508.000 RMB in 2024 and a record low of 737.280 RMB in 1985. Disposable Income per Capita: Urban: Middle Income data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Income by Income Level. Since 2013, All households in the sample are grouped, by per capita disposable income of the household, into groups of low income, lower middle income, middle income, upper middle income, and high income, each group consisting of 20%, 20%, 20%, 20%, and 20% of all households respectively.

GDP per capita (constant 2015 US$) in Low & middle income was reported at 5265 USD in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Low & middle income - GDP per capita (constant 2000 US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Income statistics by economic family type and income source, annual.

United States - Population, Total for Upper Middle Income Countries was 2816864459.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, United States - Population, Total for Upper Middle Income Countries reached a record high of 2816864459.00000 in January of 2023 and a record low of 1136464260.00000 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Population, Total for Upper Middle Income Countries - last updated from the United States Federal Reserve on July of 2025.

Norway NO: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data was reported at 21.300 % in 2016. This records a decrease from the previous number of 22.255 % for 2015. Norway NO: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data is updated yearly, averaging 8.473 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 22.255 % in 2015 and a record low of 3.710 % in 1986. Norway NO: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Norway – Table NO.World Bank: Imports. Merchandise imports from low- and middle-income economies outside region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Tokyo is the city where the highest number of consumers counts as middle class and above. In the Japanese capital, ** million people earned at least the equivalent of the highest ** percent of global income earners as of 2022 in purchasing power parity (PPP) terms. Delhi and Shanghai followed behind.

China Consumption Exp per Capita: Urban: Middle Income: Household Facility, Article & Service data was reported at 1,033.640 RMB in 2012. This records an increase from the previous number of 923.350 RMB for 2011. China Consumption Exp per Capita: Urban: Middle Income: Household Facility, Article & Service data is updated yearly, averaging 343.060 RMB from Dec 1985 (Median) to 2012, with 23 observations. The data reached an all-time high of 1,033.640 RMB in 2012 and a record low of 77.160 RMB in 1985. China Consumption Exp per Capita: Urban: Middle Income: Household Facility, Article & Service data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Consumption Structure by Income Level: Urban.

Middle-income trap refers to the economic growth strategies that transition low-income countries into middle-income ones but fail to transition the middle-income countries into high-income countries. We observe the existence of a middle-income trap for upper-middle- and lower middle-income countries. We examine the reasons for the middle-income trap using the Bayesian model averaging (BMA) and generalized method of moments (GMM). We also explore the transformation of middle-income economies into high-income economies using logistic, probit and Limited Information Maximum Likelihood (LIML) regression analyses. Random forest analysis is also used to check the robustness of the findings. BMA analysis shows that education plays an enabling role in high-income countries in determining economic growth, whereas the full poten tial of education is not fully utilized in middle-income countries. GMM estimations show that the education coefficient is positive and significant for high-income and middle-income countries. This implies that education plays a decisive positive role in achieving economic growth and gives a path to escape from the middle-income trap. However, the education coefficient for middle-income countries is approximately half that of high-income countries. Therefore, the findings of this study call for additional investment and focused strategies relating to human capital endowments

This dataset is one which highlights the demographics of Upper-Middle Class people living in Gachibowli, Hyderabad, India and attempts to, through various methods of statistical analysis, establish a relationship between several of these demographic details.

Switzerland Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data was reported at 20.848 % in 2016. This records an increase from the previous number of 20.596 % for 2015. Switzerland Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data is updated yearly, averaging 7.159 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 20.848 % in 2016 and a record low of 4.651 % in 1990. Switzerland Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.World Bank: Imports. Merchandise imports from low- and middle-income economies outside region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

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.

United States - Gross Domestic Product for Upper Middle Income Countries was 29440021018933.49888 Current $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Gross Domestic Product for Upper Middle Income Countries reached a record high of 29440021018933.49888 in January of 2023 and a record low of 213309686104.86400 in January of 1961. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Gross Domestic Product for Upper Middle Income Countries - last updated from the United States Federal Reserve on July of 2025.

Vietnam VN: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: East Asia & Pacific data was reported at 35.344 % in 2016. This records a decrease from the previous number of 38.222 % for 2015. Vietnam VN: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: East Asia & Pacific data is updated yearly, averaging 14.210 % from Dec 1960 (Median) to 2016, with 40 observations. The data reached an all-time high of 41.390 % in 2014 and a record low of 0.364 % in 1985. Vietnam VN: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: East Asia & Pacific data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Imports. Merchandise imports from low- and middle-income economies in East Asia and Pacific are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the East Asia and Pacific region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;