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.
In 2023, around 10.3 percent of U.S. private households had an annual income between 35,000 and 49,999 U.S. dollars in the United States. Income levels between 100,000 to 149,999 U.S. dollars made up the largest share of the population at 16.5 percent in 2023.
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.
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.
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.
Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.
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.
This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are based on national threshold values, regardless of selected geography; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% national income threshold. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.
The average pre-tax income of the top ten percent earners in Spain was over 95,500 euros at purchasing power parity (PPP) as of 2022, almost nine times more than the average income of the bottom half earners. Looking at the distribution of national income in Spain, the earnings of the least affluent half of the population equated to 21 percent of the total country income in 2022, 0.1 percentage points less than one decade earlier. Moreover, the top one percent of earners in Spain accounted for over ten percent of the overall national income.
https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS
A dataset listing the richest zip codes in New York per the most current US Census data, including information on rank and average income.
In 2024, there were ******* German households with a household net income of under 500 euros per month. ***** households had a monthly income of 5,000 euros and more. Disposable net income While at first glance the aforementioned monthly income may seem manageable, based on general German standards of living, it is worth noting that flexibility and expenditure depends on the number of people living in a household, or rather the number of earners in relation to that number. In the case of employed population members, what remains as disposable net income is influenced by various regular payments made by households after the already taxed salary arrives. These payments include, but are not limited to, rent, different types of insurance, repaying loans, fees for internet and mobile phone services. Food and housing When looking at private household spending in Germany, consistent patterns emerge. Housing, water, electricity, gas and other fuel made up the largest share and will increase even further in the coming months, followed by food, beverages, and tobacco.
A household budget survey or Household Income and Expenditure survey (HES) as it is commonly called, is one of the most important economic surveys carried out by the Management and Information Systems Division (MISD). The survey is household-based and serves to provide up-to-date and comprehensive information on the components of the average household budget.
Household expenditure surveys are normally carried out every five to seven years so that updated information can be obtained on spending patterns and most importantly, on the composition of the 'basket of goods'.
In a HES, information on both income and expenditure is collected. Background variables such as household composition, age and sex structure and economic activity are also included to help classify the households in various demographic and socio-economic groups and to provide updated estimates on previous household surveys.
The primary purpose of the HES was to collect up-to-date detailed information on the expenditure of households to provide new weights for the calculation of the Cost of Living Index estimated here by the Retail Price Index (RPI).
A second important use of this survey is to provide data on aggregate consumers' expenditure and income to be used in the compilation of the Gross Domestic Product (GDP) and National Income accounts. The 'expenditure approach' of the GDP calculation usually estimates the consumer expenditure component. Results from this survey will thus provide data to crosscheck those estimates.
Another key purpose of the HES survey is that it makes available information on the level and distribution of household incomes. Such information is useful in the assessment of the social and economic planning systems. The distribution of household income provides an approximate measure of poverty in society.
In general, the survey provides the public with useful and interesting information on current spending patterns of the households in Seychelles. These patterns are expected to have changed considerably over the last decade.
The survey covered households on Mahe, Praslin and La Digue (the three mainly inhabited islands), and for practical consideration, excluded those on the outer islands.
Persons living in hospitals, military barracks, prisons etc. were excluded. Households headed by expatriates were also excluded, because the income and spending patterns of such households are expected to be different from those of the average Seychellois household.
Sample survey data [ssd]
Sampling Design The most appropriate sampling frame available was the list of households obtained from the 1997 Population and Housing Census. Although not updated over the two years prior to the survey, the database provided the ideal frame for direct sampling given that the sampling units would be the households themselves.
The frame listed 17,878 households enumerated during the 1997 census covering all the islands. In consideration of logistic and administrative problems, the geographical coverage was restricted to the three main islands (Mahe, Praslin and La Digue), which account for 99% of all households.
The sampling was done in two stages. An overall sample of 10% (around 1788 households) was desired. In the first stage the households were stratified by district. The sample size was distributed among the districts representative of their size (number of households), to determine the number of households to be drawn from each district (i.e. proportional allocation). From each district, the allocated number of households was then drawn using systematic sampling method whereby households are selected at equal intervals starting from a chosen random number. With each household having the same probability of being selected, the sample becomes self-weighting.
Face-to-face [f2f]
The data were captured on personal computers using a programme written in DELPHI. The software for data capturing made provisions to enter all details collected. For the account book (Form HES3) items purchased or acquired (although it would not be possible to analyse all the descriptive details because of the variety of specifications, units, packaging etc, description and units of items) were captured to help identify commonly purchased items for future pricing.
The data files were then merged into one database and processed in SPSS and MS EXCEL for tabulation .
The original sample drawn included 1696 households representing around 9.5 percent of households on Mahe, Praslin and La Digue. The enumeration covered 1219 households but after post-enumeration checks, data from just over 800 or 67% of these households were used in the final analysis.
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.
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 2024, the average annual full-time earnings for the top ten percent of earners in the United Kingdom was 72,150 British pounds, compared with 22,763 for the bottom ten percent of earners. As of this year, the average annual earnings for all full-time employees was 37,430 pounds, up from 34,963 pounds in the previous year. Strong wage growth continues in 2025 As of February 2025, wages in the UK were growing by approximately 5.9 percent compared with the previous year, with this falling to 5.6 percent if bonus pay is included. When adjusted for inflation, regular pay without bonuses grew by 2.1 percent, with overall pay including bonus pay rising by 1.9 percent. While UK wages have now outpaced inflation for almost two years, there was a long period between 2021 and 2023 when high inflation in the UK was rising faster than wages, one of the leading reasons behind a severe cost of living crisis at the time. UK's gender pay gap falls in 2024 For several years, the difference between average hourly earnings for men and women has been falling, with the UK's gender pay gap dropping to 13.1 percent in 2024, down from 27.5 percent in 1997. When examined by specific industry sectors, however, the discrepancy between male and female earnings can be much starker. In the financial services sector, for example, the gender pay gap was almost 30 percent, with professional, scientific and technical professions also having a relatively high gender pay gap rate of 20 percent.
In March 2025, the top one percent of earners in the United Kingdom received an average pay of over 16,000 British pounds per month, compared with the bottom ten percent of earners who earned around 800 pounds a month.
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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.