Graph and download economic data for Income Before Taxes: Income Before Taxes by Deciles of Income Before Taxes: Highest 10 Percent (91st to 100th Percentile) (CXUINCBEFTXLB1511M) from 2014 to 2023 about percentile, tax, income, and USA.

In Mexico, as of 2022, the bottom 50 percent, which represents the population whose income lied below the median, earned on average 2,076 euros at purchasing power parity (PPP) before income taxes. Meanwhile, the top ten percent had an average earning of 111,484 euros, 53 times over than the average earning of the bottom half. Further, the bottom 50 percent accounted for -0.3 percent of the overall national wealth in Mexico, that is, they have on average more debts than assets.

A breakdown of annual household incomes in Japan showed that around ***** percent of households earned less than *** million Japanese yen per year as of 2024. That year, the average annual household income of Japanese households was approximately *** million yen compared to a median household income of *** million yen.

Graph and download economic data for Household Count in the 50th to 90th Wealth Percentiles (WFRBLN40301) from Q3 1989 to Q2 2025 about wealth, percentile, households, and USA.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in United States. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in United States. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in United States, householders within the 45 to 64 years age group have the highest median household income at $94,847, followed by those in the 25 to 44 years age group with an income of $87,575. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $57,108. Notably, householders within the under 25 years age group, had the lowest median household income at $43,534.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 United States median household income by age. You can refer the same here

Graph and download economic data for Household Count in the Bottom 50% (1st to 50th Wealth Percentiles) (WFRBLB50300) from Q3 1989 to Q2 2025 about 1 to 49, wealth, percentile, households, and USA.

Graph and download economic data for Minimum Wealth Cutoff for the 90th to 99th Wealth Percentiles (WFRBLN09304) from Q3 1989 to Q3 2022 about wealth, percentile, and USA.

Upper income limit, income share and average of market, total and after-tax income by economic family type and income decile, annual.

In 2021, the average income of households among Israel's highest one percent of earners, reached *** million Israeli shekels, about *** million U.S. dollars. Moreover, incomes peaked in 2017, due to a one-time tax incentive introduced by the government to release "trapped" capital gains tax. Overall, the average income of wealthy families in the country increased by ** percent between 2013 and 2021.

Employment income is generally income (salary, wages, compensation, taxes, bonuses, compensation for job inventions, etc.) received in return for providing labor, which is a non-independent personal service, through an employment relationship or a similar contract, and is distinguished from business income, other income, and retirement income. (Employment income) Payment received for providing labor through an employment relationship or a similar contract → Withholding tax according to the simplified tax table (Business income) Payment received for continuously providing services in an independent capacity without an employment relationship → Withholding tax of 3% of the income amount (Other income) Payment received for temporarily providing services → Withholding tax of 20% of the other income amount (income amount - necessary expenses) (Retirement income) Income paid due to actual retirement based on employer contributions, etc. → Withholding tax upon retirement Employment income percentile (top 1%, 1,000th percentile) data - Number of people - Total salary amount (100 million won) - Employment income amount (100 million won) - Income deduction amount (100 million won) (Employment income deduction + Personal deduction + Pension insurance premium deduction + Special income deduction + Other income deduction - Amount exceeding income deduction limit) - Taxable standard (100 million won) - Determined tax amount (100 million won) This is the value of the total employment income for each quintile, and is expressed in 0.1% units only within the top 1%.

China % of Household grouped by Annual Income: Urban:RMB80000-85000 data was reported at 3.330 % in 2011. This records an increase from the previous number of 3.010 % for 2010. China % of Household grouped by Annual Income: Urban:RMB80000-85000 data is updated yearly, averaging 2.030 % from Dec 2005 (Median) to 2011, with 7 observations. The data reached an all-time high of 3.330 % in 2011 and a record low of 0.780 % in 2005. China % of Household grouped by Annual Income: Urban:RMB80000-85000 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: Household Income Distribution: Urban.

The OECD Income Distribution database (IDD) has been developed to benchmark and monitor countries' performance in the field of income inequality and poverty. It contains a number of standardised indicators based on the central concept of "equivalised household disposable income", i.e. the total income received by the households less the current taxes and transfers they pay, adjusted for household size with an equivalence scale. While household income is only one of the factors shaping people's economic well-being, it is also the one for which comparable data for all OECD countries are most common. Income distribution has a long-standing tradition among household-level statistics, with regular data collections going back to the 1980s (and sometimes earlier) in many OECD countries.

Achieving comparability in this field is a challenge, as national practices differ widely in terms of concepts, measures, and statistical sources. In order to maximise international comparability as well as inter-temporal consistency of data, the IDD data collection and compilation process is based on a common set of statistical conventions (e.g. on income concepts and components). The information obtained by the OECD through a network of national data providers, via a standardized questionnaire, is based on national sources that are deemed to be most representative for each country.

Small changes in estimates between years should be treated with caution as they may not be statistically significant.

Fore more details, please refer to: https://www.oecd.org/els/soc/IDD-Metadata.pdf and https://www.oecd.org/social/income-distribution-database.htm

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Mexico, MO, 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 10,617, while the mean income for the highest quintile (20% of households with the highest income) is 160,507. This indicates that the top earners earn 15 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 284,944, which is 177.53% higher compared to the highest quintile, and 2683.85% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 2023 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 Mexico median household income. You can refer the same here

This file contains measured and modeled breast cancer rates by stage and median household income percentile in New York State, 2006-2015. It accompanies the book chapter, "Spatial and Contextual Analyses of Stage at Diagnosis" by Francis Boscoe and Lindsey Hutchison, in Geospatial Approaches to Energy Balance and Breast Cancer. D Berrigan, NA Berger, eds. Berlin: Springer, 2018..4,835 census tracts in New York State were divided into percentiles based on median household income, using data from the 2006-2010 and 2011-2015 editions of American Community Survey Table S1903. Census tracts are defined here:https://figshare.com/articles/Population_Estimates_by_Census_Tract_New_York_State_by_Age_and_Sex_1990-2016_/681302958 of the 4,893 census tracts in this file did not have households (primarily college campuses, prisons, and military bases) and thus had no reported median household income and were excluded, leaving 4,835.200,022 cases of breast cancer diagnosed among New York State residents from 2006-2015 were assigned an income percentile. Cases diagnosed between 2006-2010 were assigned based on the 2006-2010 edition of ACS Table S1903 and cases diagnosed between 2011-2015 were assigned based on the 2011-2015 edition.Directly-adjusted incidence rates were calculated for all cancers and for those diagnosed at in situ, local, regional, and distant stage, using the SEER Summary Stage 2000 staging system. The file contains the following fields: income percentile; rates for all cancers, in situ, local, regional, and distant stage; and modeled rates for all cancers, in situ, local, regional and distant stages. The modeled rates used a polynomial of order 3. The equations of the best-fit lines and r-squared values, to 4 decimal places or significant figures, are as follows:All cancers: y = 0.0001986x3 - 0.02035x2 + 1.0691x + 133.7353, r2 = 0.96In situ: y = 0.00008906x3 - 0.007555x2 + 0.3169x + 27.5728, r2 = 0.96Local: y = 0.0001436x3 - 0.01919x2 + 1.0526x + 58.4627, r2 = 0.94Regional: y = -0.00001676x3 + 0.003410x2 - 0.1389x + 37.6709, r2 = 0.41Distant: y = -0.00001724x3 + 0.002989x2 - 0.1615x + 10.0288, r2 = 0.32

The poorest five percent of the population in Brazil received a monthly income of merely *** reals in 2024, with their jobs as their only source of income. By contrast, the average income of workers who fall within the 40 percent to 50 percent percentile, and from 50 percent to 60 percent are **** and **** Brazilian reals, respectively.

Ukraine Population Distribution: with Avg Income per Capita: 3000.1 to 3360.0 UAH data was reported at 10.700 % in 2017. This records an increase from the previous number of 10.000 % for 2016. Ukraine Population Distribution: with Avg Income per Capita: 3000.1 to 3360.0 UAH data is updated yearly, averaging 5.650 % from Dec 2012 (Median) to 2017, with 6 observations. The data reached an all-time high of 10.700 % in 2017 and a record low of 3.100 % in 2012. Ukraine Population Distribution: with Avg Income per Capita: 3000.1 to 3360.0 UAH data remains active status in CEIC and is reported by State Statistics Service of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.H009: Household Income and Expenditure: Annual.

This statistic shows the distribution of annual disposable personal income in Taiwan in 2023 among a total of around **** million income recipients. In 2023, approximately ******* individuals in Taiwan had over *** million New Taiwan dollars in disposable income.

Source: U.S. Census Bureau; American Community Survey, 2019-2023 American Community Survey 5-Year Estimates, Table B19001; generated by CCRPC staff; using data.census.gov; https://data.census.gov/cedsci/; (31 March 2025).