In G20 countries, the share of the population that earned at least the equivalent of the highest 10 percent of global income earners as of 2022 in purchasing power parity (PPP) terms varies from over two thirds in Australia to only *** percent in Indonesia. The United States recorded the second-highest upper-class share of the G20 countries. However, looking at for instance China, approximately ** percent of the population counts as middle class or above, whereas just ***** percent counts as upper class or higher.

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.

In 2021, COVID-19 caused around **** million deaths in upper-middle-income countries, making it the third leading cause of death. The leading causes of death in upper-middle-income countries that year were stroke and ischemic heart disease. This statistic displays the number of deaths from the leading causes of death in upper-middle-income countries in 2021.

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.

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.

Graph and download economic data for Mobile Cellular Subscriptions in Upper Middle Income Countries (ITCELSETSP2UMC) from 1960 to 2024 about Mobile and income.

This survey illustrates the differences in satisfaction of the upper, middle and lower class in the United States as of August 2012. 62 percent of upper class respondents stated they feel more financially secure now than they did ten years ago. 44 percent of middle class Americans and 29 percent of lower class Americans agree.

The purpose of this study was to compare how members of the French and American upper-middle class define being a "worthy person," and to explain the important cross-national differences in these definitions by examining broad cultural and structural features of French and American society. Subjects were 160 college educated, white male professionals, managers, and businessmen who lived in and around Indianapolis, New York, Paris, and Clermont-Ferrand. Respondents were randomly chosen from the phone directories of middle- and upper-middle-class suburbs and neighborhood. Brief phone interviews were conducted to determine availability and eligibility. The final participants were matches as closely as possible by level of education and occupation. Data collection centered on 2-hour semi-directed interviews. Variables assessed include labels participants used to describe people whom they placed above and below themselves, description of people with whom participants chose to associate, those they felt superior and inferior to and those who invoked hostility, indifference, and sympathy. Negative and positive traits of coworkers, perceptions of cultural traits most valued in their workplace, and child rearing values were also assessed. Audio Data Availability Note: This study contains audio data that have been digitized. There are 452 audio files available.

This dataset contains replication files for "The Fading American Dream: Trends in Absolute Income Mobility Since 1940" by Raj Chetty, David Grusky, Maximilian Hell, Nathaniel Hendren, Robert Manduca, and Jimmy Narang. For more information, see https://opportunityinsights.org/paper/the-fading-american-dream/. A summary of the related publication follows. One of the defining features of the “American Dream” is the ideal that children have a higher standard of living than their parents. We assess whether the U.S. is living up to this ideal by estimating rates of “absolute income mobility” – the fraction of children who earn more than their parents – since 1940. We measure absolute mobility by comparing children’s household incomes at age 30 (adjusted for inflation using the Consumer Price Index) with their parents’ household incomes at age 30. We find that rates of absolute mobility have fallen from approximately 90% for children born in 1940 to 50% for children born in the 1980s. Absolute income mobility has fallen across the entire income distribution, with the largest declines for families in the middle class. These findings are unaffected by using alternative price indices to adjust for inflation, accounting for taxes and transfers, measuring income at later ages, and adjusting for changes in household size. Absolute mobility fell in all 50 states, although the rate of decline varied, with the largest declines concentrated in states in the industrial Midwest, such as Michigan and Illinois. The decline in absolute mobility is especially steep – from 95% for children born in 1940 to 41% for children born in 1984 – when we compare the sons’ earnings to their fathers’ earnings. Why have rates of upward income mobility fallen so sharply over the past half-century? There have been two important trends that have affected the incomes of children born in the 1980s relative to those born in the 1940s and 1950s: lower Gross Domestic Product (GDP) growth rates and greater inequality in the distribution of growth. We find that most of the decline in absolute mobility is driven by the more unequal distribution of economic growth rather than the slowdown in aggregate growth rates. When we simulate an economy that restores GDP growth to the levels experienced in the 1940s and 1950s but distributes that growth across income groups as it is distributed today, absolute mobility only increases to 62%. In contrast, maintaining GDP at its current level but distributing it more broadly across income groups – at it was distributed for children born in the 1940s – would increase absolute mobility to 80%, thereby reversing more than two-thirds of the decline in absolute mobility. These findings show that higher growth rates alone are insufficient to restore absolute mobility to the levels experienced in mid-century America. Under the current distribution of GDP, we would need real GDP growth rates above 6% per year to return to rates of absolute mobility in the 1940s. Intuitively, because a large fraction of GDP goes to a small fraction of high-income households today, higher GDP growth does not substantially increase the number of children who earn more than their parents. Of course, this does not mean that GDP growth does not matter: changing the distribution of growth naturally has smaller effects on absolute mobility when there is very little growth to be distributed. The key point is that increasing absolute mobility substantially would require more broad-based economic growth. We conclude that absolute mobility has declined sharply in America over the past half-century primarily because of the growth in inequality. If one wants to revive the “American Dream” of high rates of absolute mobility, one must have an interest in growth that is shared more broadly across the income distribution.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Middle Inlet, Wisconsin, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 21,360, while the mean income for the highest quintile (20% of households with the highest income) is 162,915. This indicates that the top earners earn 8 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 282,509, which is 173.41% higher compared to the highest quintile, and 1322.61% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Middle Inlet town median household income. You can refer the same here

United States - Life Expectancy at Birth, Total for Upper Middle Income Countries was 76.19481 Number of Years in January of 2023, according to the United States Federal Reserve. Historically, United States - Life Expectancy at Birth, Total for Upper Middle Income Countries reached a record high of 76.19481 in January of 2023 and a record low of 46.32320 in January of 1950. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Life Expectancy at Birth, Total for Upper Middle Income Countries - last updated from the United States Federal Reserve on July of 2025.

United States - Gross National Income for Upper Middle Income Countries was 28995653549902.40000 Current $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Gross National Income for Upper Middle Income Countries reached a record high of 28995653549902.40000 in January of 2023 and a record low of 231371965371.14300 in January of 1961. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Gross National Income for Upper Middle Income Countries - last updated from the United States Federal Reserve on July of 2025.

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

China Disposable Income per Capita: Urban: Upper Middle Income data was reported at 68,151.000 RMB in 2024. This records an increase from the previous number of 65,430.000 RMB for 2023. China Disposable Income per Capita: Urban: Upper Middle Income data is updated yearly, averaging 11,827.130 RMB from Dec 1985 (Median) to 2024, with 40 observations. The data reached an all-time high of 68,151.000 RMB in 2024 and a record low of 861.960 RMB in 1985. China Disposable Income per Capita: Urban: Upper 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.

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.

The average for 2019 based on 50 countries was 22 taxes. The highest value was in Venezuela: 99 taxes and the lowest value was in Georgia: 5 taxes. The indicator is available from 2005 to 2019. Below is a chart for all countries where data are available.

China Disposable Income per Capita: Upper Middle Income data was reported at 53,359.000 RMB in 2024. This records an increase from the previous number of 50,220.000 RMB for 2023. China Disposable Income per Capita: Upper Middle Income data is updated yearly, averaging 37,850.925 RMB from Dec 2013 (Median) to 2024, with 12 observations. The data reached an all-time high of 53,359.000 RMB in 2024 and a record low of 24,361.249 RMB in 2013. China Disposable Income per Capita: Upper 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.

China Income per Capita: Urban: Upper Middle Income data was reported at 32,758.800 RMB in 2012. This records an increase from the previous number of 29,058.920 RMB for 2011. China Income per Capita: Urban: Upper Middle Income data is updated yearly, averaging 6,673.460 RMB from Dec 1985 (Median) to 2012, with 28 observations. The data reached an all-time high of 32,758.800 RMB in 2012 and a record low of 935.520 RMB in 1985. China Income per Capita: Urban: Upper 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 and Expenditure by Income Level: Urban.

China Household Survey: Number of Employee per Household: Urban: Upper Middle Income data was reported at 1.470 Person in 2012. This records a decrease from the previous number of 1.480 Person for 2011. China Household Survey: Number of Employee per Household: Urban: Upper Middle Income data is updated yearly, averaging 1.810 Person from Dec 1985 (Median) to 2012, with 28 observations. The data reached an all-time high of 2.300 Person in 1985 and a record low of 1.470 Person in 2012. China Household Survey: Number of Employee per Household: Urban: Upper 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.HC: No of Household Surveyed: Urban: By Income Level.

China Consumption Exp per Capita: Urban: Upper Middle Income: Miscellaneous data was reported at 800.350 RMB in 2012. This records an increase from the previous number of 672.430 RMB for 2011. China Consumption Exp per Capita: Urban: Upper Middle Income: Miscellaneous data is updated yearly, averaging 278.590 RMB from Dec 1985 (Median) to 2012, with 23 observations. The data reached an all-time high of 800.350 RMB in 2012 and a record low of 36.590 RMB in 1985. China Consumption Exp per Capita: Urban: Upper Middle Income: Miscellaneous 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.