23 datasets found
  1. U.S. household income percentage distribution 2023, by race and ethnicity

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). U.S. household income percentage distribution 2023, by race and ethnicity [Dataset]. https://www.statista.com/statistics/203207/percentage-distribution-of-household-income-in-the-us-by-ethnic-group/
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    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.

  2. Table 3.1a Percentile points from 1 to 99 for total income before and after...

    • gov.uk
    Updated Mar 12, 2025
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    Table 3.1a Percentile points from 1 to 99 for total income before and after tax [Dataset]. https://www.gov.uk/government/statistics/percentile-points-from-1-to-99-for-total-income-before-and-after-tax
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    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.

  3. Distribution of annual household income Japan 2023

    • statista.com
    Updated Jul 30, 2024
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    Statista (2024). Distribution of annual household income Japan 2023 [Dataset]. https://www.statista.com/statistics/614245/distribution-of-annual-household-income-japan/
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    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Japan
    Description

    A breakdown of annual household incomes in Japan showed that around seven percent of households earned less than one million Japanese yen per year as of 2023. That year, the average annual household income of Japanese households was approximately 5.2 million Japanese yen.

  4. Income of individuals by age group, sex and income source, Canada, provinces...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Apr 26, 2024
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    Government of Canada, Statistics Canada (2024). Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas [Dataset]. http://doi.org/10.25318/1110023901-eng
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    Dataset updated
    Apr 26, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

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

  5. Average income by percentile in Brazil 2023

    • statista.com
    • flwrdeptvarieties.store
    Updated Jul 25, 2024
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    Statista (2024). Average income by percentile in Brazil 2023 [Dataset]. https://www.statista.com/statistics/1251075/average-monthly-income-percentile-brazil/
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    Dataset updated
    Jul 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Brazil
    Description

    The poorest 5 percent of the population in Brazil received a monthly income of merely 239 reals in 2023, 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 1,639 and 1,970 Brazilian reals, respectively.

  6. High income tax filers in Canada

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Oct 28, 2024
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    Government of Canada, Statistics Canada (2024). High income tax filers in Canada [Dataset]. http://doi.org/10.25318/1110005501-eng
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    Dataset updated
    Oct 28, 2024
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    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.

  7. Average earnings by percentile in Mexico 2022

    • statista.com
    Updated Oct 7, 2024
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    Statista (2024). Average earnings by percentile in Mexico 2022 [Dataset]. https://www.statista.com/statistics/1295017/average-income-by-percentile-mexico/
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    Dataset updated
    Oct 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Mexico
    Description

    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.

  8. Low income cut-offs (LICOs) before and after tax by community size and...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Apr 26, 2024
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    Government of Canada, Statistics Canada (2024). Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars [Dataset]. http://doi.org/10.25318/1110024101-eng
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    Dataset updated
    Apr 26, 2024
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars, annual.

  9. a

    Benefits Estimate Calculator

    • hub.arcgis.com
    Updated Jun 12, 2024
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    Halifax Regional Municipality (2024). Benefits Estimate Calculator [Dataset]. https://hub.arcgis.com/datasets/64b60d05989c4be0b1c4cec00c75e39c
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    Dataset updated
    Jun 12, 2024
    Dataset authored and provided by
    Halifax Regional Municipality
    Area covered
    Description

    This dataset contains all the different possible combinations for employee benefits offered at HRM. The benefits account for all position and employee group combinations. These benefit options include health, dental, and income replacement coverage.

    This dataset is used to support HRM's Benefit Estimate Calculator. This dataset is for estimation only, rates and options are subject to change without notice. For additional information about employment benefits at HRM please visit https://www.halifax.ca/abouthalifax/ employment/employee-benefits.

    Metadata

  10. Private households in Germany 2023, by net income level

    • statista.com
    Updated Feb 24, 2025
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    Statista (2025). Private households in Germany 2023, by net income level [Dataset]. https://www.statista.com/statistics/750827/private-household-income-distribution-in-germany/
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    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Germany
    Description

    In 2023, there were 577,000 German households with a household net income of under 500 euros per month. Approximately 18 percent of 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.

  11. c

    Real Wages in Germany between 1871 and 1913

    • datacatalogue.cessda.eu
    Updated Oct 18, 2024
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    Desai (2024). Real Wages in Germany between 1871 and 1913 [Dataset]. http://doi.org/10.4232/1.8216
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    Dataset updated
    Oct 18, 2024
    Dataset provided by
    Ashok V.
    Authors
    Desai
    Time period covered
    1871 - 1913
    Area covered
    Germany
    Description

    The analysis of real wages has a long tradition in Germany. The focus of the acquisition is on company wages, on wages of certain branches or for categories of workers as well as on the investigation of long term aggregated nominal and real wages. The study of Ashok V. Desai on the development of real wages in the German Reich between 1871 and 1913 is an important contribution to historical research on wages. The study is innovative and methodically on an exemplary level. But mainly responsible for the upswing in the historical research on wages in the 50s and 60s is an extraordinary publication by Jürgen Kuczynski. “The new historical research on wages in Germany is insolubly connected with Jürgen Kuczynski. In his broad researches the history of wages is only one section among many other themes but it is a very important one can be seen as the core piece of his work.” (Kaufhold, K.H., 1987: Forschungen zur deutschen Preis- und Lohngeschichte (seit 1930). In: Historia Socialis et Oeconomica. Festschrift für Wolfgang Zorn zum 65. Geburtstag. Stuttgart: Franz Steiner Verlag, S, 83). In his first study on long series on nominal and real wages in Germany he used a broad empirical basis and encouraged more research in this area. His weaknesses are methodological inconsistencies and a restricted representativeness. For example he includes tariff wages but also actually paid wages. Some important industries like food or textile industry are not taken into account. Wages in agriculture were often estimated but without enough material necessary for a good estimation. Wages for work at home are not regraded in the calculation of the index. The weight of cities in the calculation of the index is relatively too high compared to rural regions and therefor it leaks regional representativeness. In his study Desai uses the reports of trade associations for the Reich´s insurance office on the persons who are insured in the accident insurance and their wages as a basis for the calculation of annual nominal average wages. Desais focusses on industrial wages because only for them long term series are available. As the insurance premiums are calculated according to the income level the documents of the trade associations can be used for the calculation of an index for wages development. Desais study is also very useful regarding the calculation of a new index for costs of living based the model of a typical worker family. „F. Grumbach and H. König have used the same sources to derive indices of industrial earnings. The main differences between their series and ours are: (a) we have adopted the industrial classification followed by the Reichsversicherungsamt, while Grumbach and König have made larger industrial groups, (b) we have calculated average annual earnings, while they claim to have calculated average daily earnings (i.e. to have adjusted the annual figures for the average number of days worked per year per worker), and (c) they have failed to correct distortions in the original data” (Desai, A.V., 1968: Real Wages in Germany 1871–1913. Oxford. Clarendon Press, S. 4).

    Register of tables in HISTAT: A. Overviews A.1 Overview: Different estimations of the real and nominal gross wages in the German Reich, index 1913 = 100 (1871-1913) A.2 Overview: Development of costs of living, index 1913 = 100 (1871-1913) A.3 Overview: Development of nominal and real wages, index 1913=100 (1844-1937)

    D. Study by Ashok V. Desai D.01 Different estimations of real wages in the German Reich, index 1895 = 100 (1871-1913) D.02 Annual average wage (1871-1886) D.03 Annual gross wages in chosen production segments (1887-1913) D.04 Annual average wage in industry, transportation and trade (1871-1913) D.05 Construction of an index for costs of living, 1895 = 100 (1871-1913) D.06 Real wages, in constant prices from 1895 (1871-1913) D.07 Wheat prices and prices for wheat bread (1872-1913) D.08 Rye prices and prices for rye bread (1872-1913) D.09 Average export prices by product groups, index 1895 = 100 (1872-1913) D.10 Average import prices by product groups, index 1895 = 100 (1872-1913) D.11 Average export prices, import prices and terms of trade, index 1895 = 100 (1872-1913)

    O. Study by Thomas J. Orsagh O. Adjusted indices for costs of living and real wages after Orsgah, index 1913 = 100 (1871-1913)

  12. Average earnings by percentile in Argentina 2022

    • statista.com
    Updated Sep 10, 2024
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    Statista (2024). Average earnings by percentile in Argentina 2022 [Dataset]. https://www.statista.com/statistics/1294759/average-income-by-percentile-argentina/
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    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Argentina
    Description

    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.

  13. Average earnings in Spain 2020-2022, by percentile

    • statista.com
    Updated Jan 22, 2025
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    Statista (2025). Average earnings in Spain 2020-2022, by percentile [Dataset]. https://www.statista.com/statistics/1293813/average-income-by-percentile-spain/
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Spain
    Description

    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.

  14. Low income measure (LIM) thresholds by income source and household size

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Apr 26, 2024
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    Government of Canada, Statistics Canada (2024). Low income measure (LIM) thresholds by income source and household size [Dataset]. http://doi.org/10.25318/1110023201-eng
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    Dataset updated
    Apr 26, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Low income measure (LIM) thresholds by household size for market income, total income and after-tax income, in current and constant dollars, annual.

  15. i

    Richest Zip Codes in New York

    • incomebyzipcode.com
    Updated Dec 18, 2024
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    Cubit Planning, Inc. (2024). Richest Zip Codes in New York [Dataset]. https://www.incomebyzipcode.com/newyork
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    Dataset updated
    Dec 18, 2024
    Dataset authored and provided by
    Cubit Planning, Inc.
    License

    https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS

    Area covered
    New York
    Description

    A dataset listing the richest zip codes in New York per the most current US Census data, including information on rank and average income.

  16. Average annual earnings for full-time employees in the UK 2024, by...

    • statista.com
    Updated Dec 16, 2024
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    Statista (2024). Average annual earnings for full-time employees in the UK 2024, by percentile [Dataset]. https://www.statista.com/statistics/416102/average-annual-gross-pay-percentiles-united-kingdom/
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    Dataset updated
    Dec 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United Kingdom
    Description

    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.

  17. g

    Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts....

    • search.gesis.org
    • datacatalogue.cessda.eu
    • +2more
    Updated Apr 13, 2010
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    Hoffmann, Walther G. (2010). Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts. Kapitel: Die Preise [Dataset]. http://doi.org/10.4232/1.8254
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    (72707)Available download formats
    Dataset updated
    Apr 13, 2010
    Dataset provided by
    GESIS Data Archive
    GESIS search
    Authors
    Hoffmann, Walther G.
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    1850 - 1959
    Description

    This data selection represents a thematic extract from the comprehensive study “The Growth of the German Economy since the mid-19th Century“ (“Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts”) from 1965 by Walter G. Hoffmann. The main objective of Hoffmann’s study is to work out statistical figures concerning the long-term development of the German national economy, as well as the individual fields of this subject area. In doing so, the time series shall enable the verification of various hypotheses concerning economic growth. This aim, however, can only be reached if such time series are based on comparable statistical, methodical, and content-related concepts, and if they are collected for a period with maximum length. Consequently, this data selection comprises more than 800 pages with 250 tables, featuring almost every time series between 1850 and 1960 that can be considered relevant for the economic development. Whenever necessary, these materials were completed by estimates. Moreover, the above-named analyses of long-term tendencies aim at creating a reference system for the numerous short-term changes occuring within most national economies in the course of a century. Here the special focus of Hoffman’s work lies on the visualisation of the gained materials as regards the raise, distribution, and use of the national income. The respective calculation is based on the two production factors of labour and capital and culminates in an overview of production. The calculation of the distribution, on the other hand, deals with the functional and individual, i.e. personal distribution of (earned and capital) income. In its turn, the calculation of use is divided into the sectors of private and public consumption, investment, and the national trade balance.

    Topics

    Timeseries data available via the downloadsystem HISTAT

    The chapter „the prices“ do not contain a general representation of price history, but summarises only the prices, which are necessary for computations in other parts of Hoffmann´s work, for example calculations of inflation and/or deflation of timeseries on the basis of price indices.

    Data excerpt: Prices (final expenditure compilation , the following factors have been taken into consideration):

    • Producer´s prices for crop products (1846-1959)
    • Producer´s prices for products from livestock farming (1850-1959)
    • Indices of producer´s prices of agricultural production (1850-1959)
    • Producer´s prices of agricultural and fishery products (1848-1959)
    • Price indices of investment goods (1850-1959)
    • Retailing consumer prices for crop products (1850-1959)
    • Retailing consumer prices for products from livestock farming (1850-1959)
    • Retailing consumer prices for products luxury foodstuffs (1850-1959)
    • Price indices of selected product-groups (1850-1913)
    • Price indices of selected product-groups (1925-1959)
    • Price indices of net national product at market prices (final expenditures compilation) (1850-1959)
    • Prices of official consumption (1925-1959)
    • Export-price indices: foodstuffs, luxury foodstuffs, basic materials, semi-finished goods (1880-1960)
    • Export-price indices: manufactured goods (1880-1960)
    • Import-price indices: foodstuffs, luxury foodstuffs (1872-1960)
    • Import-price indices: basic materials, semi-finished goods, manufactured goods (1872-1960)
    • Price indices of the balance of payments´ groups (1950-1959)
  18. c

    The Growth of the German Economy since the Middle of the 19th Century....

    • datacatalogue.cessda.eu
    Updated Oct 18, 2024
    + more versions
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    Hoffmann (2024). The Growth of the German Economy since the Middle of the 19th Century. Chapter: Prices [Dataset]. http://doi.org/10.4232/1.8254
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    Dataset updated
    Oct 18, 2024
    Dataset provided by
    Walther G.
    Authors
    Hoffmann
    Time period covered
    1850 - 1959
    Area covered
    Germany
    Description

    This data selection represents a thematic extract from the comprehensive study “The Growth of the German Economy since the mid-19th Century“ (“Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts”) from 1965 by Walter G. Hoffmann. The main objective of Hoffmann’s study is to work out statistical figures concerning the long-term development of the German national economy, as well as the individual fields of this subject area. In doing so, the time series shall enable the verification of various hypotheses concerning economic growth. This aim, however, can only be reached if such time series are based on comparable statistical, methodical, and content-related concepts, and if they are collected for a period with maximum length. Consequently, this data selection comprises more than 800 pages with 250 tables, featuring almost every time series between 1850 and 1960 that can be considered relevant for the economic development. Whenever necessary, these materials were completed by estimates. Moreover, the above-named analyses of long-term tendencies aim at creating a reference system for the numerous short-term changes occuring within most national economies in the course of a century. Here the special focus of Hoffman’s work lies on the visualisation of the gained materials as regards the raise, distribution, and use of the national income. The respective calculation is based on the two production factors of labour and capital and culminates in an overview of production. The calculation of the distribution, on the other hand, deals with the functional and individual, i.e. personal distribution of (earned and capital) income. In its turn, the calculation of use is divided into the sectors of private and public consumption, investment, and the national trade balance.

    Topics

    Timeseries data available via the downloadsystem HISTAT

    The chapter „the prices“ do not contain a general representation of price history, but summarises only the prices, which are necessary for computations in other parts of Hoffmann´s work, for example calculations of inflation and/or deflation of timeseries on the basis of price indices.

    Data excerpt: Prices (final expenditure compilation , the following factors have been taken into consideration):

    • Producer´s prices for crop products (1846-1959)
    • Producer´s prices for products from livestock farming (1850-1959)
    • Indices of producer´s prices of agricultural production (1850-1959)
    • Producer´s prices of agricultural and fishery products (1848-1959)
    • Price indices of investment goods (1850-1959)
    • Retailing consumer prices for crop products (1850-1959)
    • Retailing consumer prices for products from livestock farming (1850-1959)
    • Retailing consumer prices for products luxury foodstuffs (1850-1959)
    • Price indices of selected product-groups (1850-1913)
    • Price indices of selected product-groups (1925-1959)
    • Price indices of net national product at market prices (final expenditures compilation) (1850-1959)
    • Prices of official consumption (1925-1959)
    • Export-price indices: foodstuffs, luxury foodstuffs, basic materials, semi-finished goods (1880-1960)
    • Export-price indices: manufactured goods (1880-1960)
    • Import-price indices: foodstuffs, luxury foodstuffs (1872-1960)
    • Import-price indices: basic materials, semi-finished goods, manufactured goods (1872-1960)
    • Price indices of the balance of payments´ groups (1950-1959)
  19. Average monthly pay of employees in the UK in 2025, by percentile

    • statista.com
    Updated Nov 13, 2024
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    Statista (2024). Average monthly pay of employees in the UK in 2025, by percentile [Dataset]. https://www.statista.com/statistics/1224844/monthly-pay-of-employees-uk/
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    Dataset updated
    Nov 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    United Kingdom
    Description

    In January 2025, the top one percent of earners in the United Kingdom received an average pay of 15,882 British pounds per month, compared with the bottom 10 percent of earners who earned 813 pounds a month.

  20. Income per capita by country in South America 2023

    • statista.com
    Updated Sep 9, 2024
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    Statista (2024). Income per capita by country in South America 2023 [Dataset]. https://www.statista.com/statistics/913999/south-america-income-per-capita/
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    Dataset updated
    Sep 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Americas, South America
    Description

    Guyana was the South American country 20360the highest gross national income per capita, with 20,360 U.S. dollars per person in 2023. Uruguay ranked second, registering a GNI of 19,530 U.S. dollars per person, based on current prices. Gross national income (GNI) is the aggregated sum of the value added by residents in an economy, plus net taxes (minus subsidies) and net receipts of primary income from abroad. Which are the largest Latin American economies? Based on annual gross domestic product, which is the total amount of goods and services produced in a country per year, Brazil leads the regional ranking, followed by Mexico, Argentina, and Chile. Many Caribbean countries and territories hold the highest GDP per capita in this region, measurement that reflects how GDP would be divided if it was perfectly equally distributed among the population. GNI per capita is, however, a more exact calculation of wealth than GDP per capita, as it takes into consideration taxes paid and income receipts from abroad. How much inequality is there in Latin America? In many Latin American countries, more than half the total wealth created in their economies is held by the richest 20 percent of the population. When a small share of the population concentrates most of the wealth, millions of people don't have enough to make ends meet. For instance, in Brazil, about 5.32 percent of the population lives on less than 3.2 U.S. dollars per day.

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Statista (2024). U.S. household income percentage distribution 2023, by race and ethnicity [Dataset]. https://www.statista.com/statistics/203207/percentage-distribution-of-household-income-in-the-us-by-ethnic-group/
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U.S. household income percentage distribution 2023, by race and ethnicity

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 16, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United States
Description

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.

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