The table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and total income after tax.
These statistics are classified as accredited official statistics.
You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.
Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.
Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.
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.
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Graph and download economic data for Income Before Taxes: Wages and Salaries by Deciles of Income Before Taxes: Seventh 10 Percent (61st to 70th Percentile) (CXU900000LB1508M) from 2014 to 2023 about percentile, salaries, tax, wages, 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.
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.
In 2022, the median annual tech wage corresponding to the 50th percentile in the United States was reported as 100,615 U.S. dollars. The 90th percentile for tech wages in the U.S. was 161,427 U.S. dollars for that same year.
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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 2023 in France, the average net monthly full-time equivalent salary was ***** euros. That year, ** percent of the poorest French employees earned less than ***** euros per month. On the other hand, ** percent of the richest French employees received more than ***** euros. The French people who were part of the richest one percent of the working population earned a salary over ***** euros per month.
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Graph and download economic data for 3-Month Moving Average of Unweighted 25th Percentile Hourly Wage Growth: Overall (FRBATLWGT3MMAU25PHWGO) from Mar 1997 to May 2025 about growth, moving average, percentile, 3-month, average, wages, and USA.
As of 2022, the bottom 50 percent in Chile, that is, the population whose income lied below the median, earned on average 4,800 U.S. dollars at purchasing power parity (PPP) before income taxes. This is nearly 43 times less than the average income of the top ten percent, that stood at 215,000 USD that year. In relation to percentage distribution of national wealth in Chile, the top ten percent accounted for over 80 percent of the overall national wealth.
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Graph and download economic data for Household Count in the 50th to 90th Wealth Percentiles (WFRBLN40301) from Q3 1989 to Q1 2025 about wealth, percentile, households, and USA.
In the third quarter of 2024, the top ten percent of earners in the United States held over ** percent of total wealth. This is fairly consistent with the second quarter of 2024. Comparatively, the wealth of the bottom ** percent of earners has been slowly increasing since the start of the *****, though remains low. Wealth distribution in the United States by generation can be found here.
A breakdown of annual household incomes in Japan showed that around ***** percent of households earned less than *** million Japanese yen per year as of 2023. That year, the average annual household income of Japanese households was approximately *** million Japanese yen.
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Earned income percentile (top 1%, 1,000th percentile) data - Number of people - Total salary (100 million won) - Earned income amount (100 million won) - Income deduction amount (100 million won) (Employed income deduction + personal deduction + pension insurance premium deduction + special income deduction + other income deduction - amount exceeding income deduction limit) - Tax base (100 million won) - Determined tax amount (100 million won)
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Graph and download economic data for Expenditures: Total Average Annual Expenditures by Deciles of Income Before Taxes: Second 10 Percent (11st to 20th Percentile) (CXUTOTALEXPLB1503M) from 2014 to 2023 about percentile, tax, average, expenditures, income, and USA.
Data on the average annual gross salary percentiles in the United Kingdom (UK) in 2020, by gender, shows that while women's average annual gross pay for the tenth percentile was around 6.8 thousand British pounds in 2020, the male average was more than twice as high in the same percentile. The female percentile with the highest annual pay averaged at 45.3 thousand British pounds, but was exceeded by the male average by 65 thousand in 2020.
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License information was derived automatically
Context
The dataset presents the mean household income for each of the five quintiles in Hudson, OH, 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Income Levels:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Hudson median household income. You can refer the same here
In 2021, the average income of households among Israel's highest one percent of earners, reached 4.7 million Israeli shekels, about 1.2 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 62 percent between 2013 and 2021.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the mean household income for each of the five quintiles in Greece, New York, 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Income Levels:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Greece town median household income. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Lithuania - Income distribution was 6.54 in December of 2024, according to the EUROSTAT. The income distribution ratio considers the total income received by the 20 % of the population with the highest income to that received by the 20 % of the population with the lowest income.
The table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and total income after tax.
These statistics are classified as accredited official statistics.
You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.
Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.
Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.