43 datasets found
  1. F

    Real Median Personal Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
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    (2024). Real Median Personal Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEPAINUSA672N
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    jsonAvailable download formats
    Dataset updated
    Sep 10, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2023 about personal income, personal, median, income, real, and USA.

  2. Per capita income in the Soviet Union as a share of Western European income...

    • statista.com
    Updated Dec 1, 2006
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    Per capita income in the Soviet Union as a share of Western European income 1950-2000 [Dataset]. https://www.statista.com/statistics/971012/soviet-union-per-capita-income-as-a-share-of-west/
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    Dataset updated
    Dec 1, 2006
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    The dissolution of the Soviet Union saw a drastic fall in income rates across the region. In 1950, after the economic recovery period that followed the Second World War, income per capita in the Soviet Union was around half of Western Europe's rate. These figures did increase in the subsequent decades, before falling throughout the 1970s and 1980s, yet, in the final years of the communist system in Europe, income per capita was still around half of Western Europe's rate (albeit slightly lower than in1950).

    By 2000, however, these figures had dropped below a quarter of Western Europe's income per capita. Most of this downturn occurred before 1996, and the economic situation in Russia, Ukraine, and the Baltic states began to improve in the final years of the century. It would take another few years before the economic situation of the other former-Soviet states would also begin to stabilize.

  3. F

    Real Median Family Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
    + more versions
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    (2024). Real Median Family Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEFAINUSA672N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 10, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Real Median Family Income in the United States (MEFAINUSA672N) from 1953 to 2023 about family, median, income, real, and USA.

  4. U.S. median household income 1967-2023, by race and ethnicity

    • statista.com
    • ai-chatbox.pro
    Updated Oct 28, 2024
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    Statista (2024). U.S. median household income 1967-2023, by race and ethnicity [Dataset]. https://www.statista.com/statistics/1086359/median-household-income-race-us/
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    Dataset updated
    Oct 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the U.S., median household income rose from 51,570 U.S. dollars in 1967 to 80,610 dollars in 2023. In terms of broad ethnic groups, Black Americans have consistently had the lowest median income in the given years, while Asian Americans have the highest; median income in Asian American households has typically been around double that of Black Americans.

  5. T

    China Average Yearly Wages

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). China Average Yearly Wages [Dataset]. https://tradingeconomics.com/china/wages
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    json, xml, csv, excelAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1952 - Dec 31, 2024
    Area covered
    China
    Description

    Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. American State Data, 1956-1965

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Feb 16, 1992
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    Sharkansky, Ira (1992). American State Data, 1956-1965 [Dataset]. http://doi.org/10.3886/ICPSR00024.v1
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    spss, sas, asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Sharkansky, Ira
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/24/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/24/terms

    Time period covered
    1956 - 1965
    Area covered
    United States
    Description

    This data collection provides selected economic, social, demographic, and political information for 48 states of the United States during the 1950s and 1960s. Variables describe population characteristics, such as the number of adults aged 65 and over, the number of dentists and physicians, the number of patients in mental hospitals, the death rates of white and non-white infants under one year of age per 1,000 live births, respectively, the number of recipients of public assistance such as Aid to Families with Dependent Children (AFDC), elementary and secondary school enrollment, enrollment in vocational programs, the total number of students in higher education, the number of those conferred with M.A. and Ph.D. degrees, and the number of workers in research experiment stations. Other variables provide economic information, such as personal income per capita, average monthly payment per recipient of some public assistance programs, average salary per month for full-time state and local employees, state and local government revenues and expenditures, and various intergovernmental revenues from the federal government for certain services. Additional variables record crime statistics, such as the number of robbery, burglary, larceny, auto theft, assault, rape, and murder offenses per 100,000 of the population. There are also variables that give information on each state's topography, such as the acreage of state parks, total farm acreage, municipal road mileage, and total unsurfaced road mileage.

  7. GDP per capita disparities in regions of Europe 1900-1950

    • statista.com
    Updated Dec 31, 2006
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    Statista (2006). GDP per capita disparities in regions of Europe 1900-1950 [Dataset]. https://www.statista.com/statistics/1240104/europe-gdp-per-capita-disparity-region-1900-1950/
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    Dataset updated
    Dec 31, 2006
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    In 1900, GDP per capita in Southern Europe was just over half of the rate in Western Europe, while it was just 39 percent across Central and Eastern Europe. By 1950, Central and Eastern Europe's GDP per capita had risen to 51 percent of Western Europe's, while Southern Europe's GDP per capita had fallen to 44 percent. Post-war recovery across the south was comparatively slower than the West due to the lack of American investment in the fascist states of Spain and Portugal, the civil war in Greece, and the lack of industrialization in Italy. As these factors reversed or concluded in the 1950s, Southern Europe's economic development fell more in line with that of the rest of Western Europe in this decade, with Italy, in particular, emerging as one of the world's leading economies.

  8. c

    Income Distribution and Income Stratification of Private Households in the...

    • datacatalogue.cessda.eu
    • search.gesis.org
    • +2more
    Updated Oct 19, 2024
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    Göseke; Bedau (2024). Income Distribution and Income Stratification of Private Households in the Federal Republic of Germany (FRG) from 1950 to 1970 [Dataset]. http://doi.org/10.4232/1.8192
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    Dataset updated
    Oct 19, 2024
    Dataset provided by
    Gerhard
    Klaus-Dietrich
    Authors
    Göseke; Bedau
    Time period covered
    1950 - 1970
    Area covered
    Germany
    Measurement technique
    Sources:Publications of DIW (German Institute for Economic Research), academic publications, publications of the Federal Statistical Office.Göseke, G./Bedau, K.-D., 1974: Verteilung und Schichtung der Einkommen der privaten Haushalte in der Bundesrepublik Deutschland 1950-1975, Berlin: Duncker & Humblot, S. 109-113, 2002, 208, 210.Bedau, K.-D./Freitag, B./Göseke, G., 1987: Die Einkommenslage der Familien in der Bundesrepublik Deutschland in den Jahren 1973 und 1981. Berlin: Duncker & Humblot, S. 264, 347, 422, 432-438, 483-489.Bedau, G., 1986: Das Einkommen sozialer Haushaltsgruppen 1985. Berlin: Duncker & Humblot, S. 659, 663-668.
    Description

    Aim of the study is to render the income distribution and income stratification in the Federal Republic of Germany (FRG) form 1950 to 1970.

    Topics: Tabulations in Online-Database HISTAT (Historical Statistics):

    A. Synopses A.01 Sources of liquid income in percent (1950-1970) A.02 Personal income distribution in percent (1950-1970) A.03 Distribution of household-income in percent (1950-1970) A.04 Average income per household on social position of head of the household, Index (1950-1970) A.05 Distribution of private households on incomg-groups (1950-1970) A.06 Distribution of private households on size of household and incomg-group (1950-1970) A.07 Average yearly income per household in DM (1950-1970) A.08 Distribution of private households on number of persons receiving income and on income groups (1950-1970)

    B. Development of functional and personal income B.01a Private households on household size and social position of head of the household in FRG in thousand (1950-1970) B.01b Private households on social position of head of the household and on income-receive in FRG in thousand (1950-1970) B.02 Development of household income in FRG in billions DM (1950-1970) B.03a Net-total income of the entire private households in the FRG im billions DM (1950-1970) B.03b Net-average income of the entire privat households in the FRG in DM (1950-1970)

    C. Number of Net-income of private households C.01a Number of net-income of the entire private households in the FRG on income groups (1950-1970) C.01b Number of net-income of Self-Employed households in the FRG on income groups (1950-1970) C.01c Number of net-income of white-collar worker households in the FRG on income groups (1950-1970) C.01d Number of net-income of blue-collar worker households in the FRG on income groups (1950-1970) C.01e Number of net-income of retiree households in the FRG on income groups (1950-1970) C.02 Number of Households in the FRG on constant income groups in thousand (1950-1970) C.03 Net-annuity of housholds in the FRG on constant income groups in billions DM (1950-1970)

    Z. Compendious statistical value schedules (1950-1985) Z.01 Statistical values of stratification of private household´s net-annuity and of families´ net-annuity on social groups (1950-1985) Z.02 Average monthly household income on social groups (1950-1974)

  9. U.S. workers median hourly inflation adjusted earnings 1979-2023

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). U.S. workers median hourly inflation adjusted earnings 1979-2023 [Dataset]. https://www.statista.com/statistics/185369/median-hourly-earnings-of-wage-and-salary-workers/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the usual median hourly rate of a worker's wage in the United States was 19.24 U.S. dollars, a decrease from the previous year. Dollar value is based on 2023 U.S. dollars. In 1979, the median hourly earnings in the U.S. was 17.48 dollars.

  10. T

    United States Average Hourly Wages in Manufacturing

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Average Hourly Wages in Manufacturing [Dataset]. https://tradingeconomics.com/united-states/wages-in-manufacturing
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    csv, xml, excel, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1939 - Jun 30, 2025
    Area covered
    United States
    Description

    Wages in Manufacturing in the United States remained unchanged at 28.87 USD/Hour in June. This dataset provides - United States Average Hourly Wages in Manufacturing - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. Income disparities in regions of Europe 1900-1950 compared with Western...

    • statista.com
    Updated Dec 31, 2006
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    Statista (2006). Income disparities in regions of Europe 1900-1950 compared with Western Europe [Dataset]. https://www.statista.com/statistics/1240070/europe-income-disparity-region-1900-1950/
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    Dataset updated
    Dec 31, 2006
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    Compared to Western Europe, the development of average incomes differed between Scandinavia and and East-Central Europe between 1900 and 1950. Over these five decades, income in Scandinavia gradually caught up with the rest of Western Europe, eventually overtaking it by the middle of the century. By contrast, income across East-Central Europe fell further behind the west over this period, falling from 42 percent of the west's rate in 1900 to 37 percent in 1950.

  12. Wages and salaries based on the 1948 and 1980 Standard Industrial...

    • www150.statcan.gc.ca
    Updated Feb 18, 2000
    + more versions
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    Government of Canada, Statistics Canada (2000). Wages and salaries based on the 1948 and 1980 Standard Industrial Classifications (SIC), by province or territory, annual, 1926 - 1960 (x 1,000,000) [Dataset]. http://doi.org/10.25318/3610029901-eng
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    Dataset updated
    Feb 18, 2000
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains 22 series, with data for years 1926 - 1960 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Nova Scotia; Prince Edward Island ...), Wages and salaries (2 items: Based on Standard Industrial Classification; 1948 (SIC); Based on Standard Industrial Classification; 1980 (SIC) ...).

  13. d

    Wages and Salaries after the two World Wars, 1925 to 1950

    • da-ra.de
    • datacatalogue.cessda.eu
    • +3more
    Updated Jul 9, 2013
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    Günter Menges; Heinrich Kolbeck (2013). Wages and Salaries after the two World Wars, 1925 to 1950 [Dataset]. http://doi.org/10.4232/1.11720
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    Dataset updated
    Jul 9, 2013
    Dataset provided by
    da|ra
    GESIS Data Archive
    Authors
    Günter Menges; Heinrich Kolbeck
    Time period covered
    1925 - 1950
    Area covered
    World
    Description

    Ziel der Untersuchung ist, über die seit der Vorkriegszeit eingetretenen Veränderungen der Lohn- und Gehaltssituation zu informieren. Unter „Vorkriegszeit“ werden die Jahre der Weimarer Republik (im engeren Sinne die Jahre von 1924 bis 1929), unter „Nachkriegszeit“ die Jahre seit 1959 verstanden (bis 1954). Das Hauptgewicht des Vergleichs liegt auf der Situation der Bundesrepublik, deren Verhältnisse mit denen der Vorkriegszeit verglichen werden. Für beide Perioden wird für sämtliche zu vergleichenden Jahre eine gemeinsame Indexbasis zugrunde gelegt. Diese gemeinsame Basis stellt das Jahr 1928 dar. „Gerade wegen der ‚Vergleichspriorität‘, die der Gegenwart zugemessen wird, war ein Jahr aus der Weimarer Zeit als Basisjahr heranzuziehen. Die Wahl fiel auf das Jahr 1928, weil für Einkommensbetrachtungen, die einen ‚isolierten‘ Vergleich intendieren, Jahre konjunktureller Höhepunkte am geeignetsten sind. Zwar hatte die Konjunkturentwicklung der Weimarer Zeit erst im Verlaufe des Jahres 1929 ihren Höhepunkt erreicht; da sich aber im Jahre 1929 der Einfluss der Beginnenden Krise bereits stark bemerkbar machte, ist das Jahr 1928 als das Jahr mit der gleichsam ‚reinsten‘ Hochkonjunktur der Vorkriegszeit anzusehen und wurde deshalb als Basisjahr genommen. In der Untersuchung“ (Menges/Kolbeck, a. a. O., S. XII). In der Untersuchung werden zwei Typen des Periodenvergleichs unterschieden. (1) „Eliminierter Vergleich“: Vergleich, dem ausschließlich das Gebiet der Bundesrepublik Deutschland (Gebietsstand von 1950) zugrunde liegt; (2) „Uneliminierter Vergleich“: Vergleich, dem für die Jahre bis 1945 das Reichsgebiet (Gebietsstand von 1925) und für die Jahre ab 1945 das Gebiet der Bundesrepublik Deutschland (Stand 1950) zugrunde liegt. Der weitaus größte Teil der präsentierten Daten stellen Schätzungen dar, die „in jedem Falle fundiert sind, aber doch häufig nur als grob gelten können“ (Menges/Kolbeck, a. a. O., S. VII). Datentabellen in HISTAT:Die ‚Datentabellen können grob den folgenden inhaltlichen Schwerpunkten zugeordnet werden:A. Strukturdaten (Erwerbspersonen, Altersgliederung der Arbeitnehmer)B. Die Kaufkraft des GeldesC. Löhne und Gehälter in ihrer Gesamtheit im Vergleich zum VolkseinkommenD. Die Löhne und Gehälter im Einzelnen: ArbeiterE. Die Löhne und Gehälter im Einzelnen: AngestellteF. Die Löhne und Gehälter im Einzelnen: ZusammenfassungG. Ergänzende Beurteilung: Haushaltseinkommen, Arbeitszeit, Sozialversicherung, Arbeitslosigkeit

  14. GDP per capita as a share of Western Europe's in peripheral economies...

    • statista.com
    Updated Dec 31, 2006
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    Statista (2006). GDP per capita as a share of Western Europe's in peripheral economies 1950-1998 [Dataset]. https://www.statista.com/statistics/1242987/europe-gdp-per-capita-as-share-eu-peripheral-economies-eu-1950-1998/
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    Dataset updated
    Dec 31, 2006
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1950 - 1998
    Area covered
    Western Europe, Portugal, EU, Greece, Spain, Ireland, Finland
    Description

    For Western Europe's economies in the late twentieth century, there were regional differences in the development of GDP per capita in many of the northern, industrialized nations and those in the south and on the northern periphery. In 1950, GDP per capita was lower than the regional average in these countries due to the lower levels of industrialization. The south then managed to make up a lot of ground by 1973. During Western Europe's "Golden Age of Capitalism," however, Ireland actually lost ground on the rest of the region due to its isolationist policies and inability to industrialize at the same pace. The last quarter-century of the decade saw this trend reverse, with Ireland's GDP per capita eventually growing above the regional average due to the influx of U.S. investment and its increased integration with European markets. Finland, which had a fairly unique position as being a West Bloc country within the Soviet sphere of influence, did experience some economic success during the Cold War through its exports into the East Bloc. The dissolution of the Soviet Union saw Finland rapidly restructure its economy to compete with the west, which caused GDP to fall by 14 percent between 1989 and 1993. By the end of the decade, however, this transition saw Finland emerge as a global leader in the export of high-tech goods, and income surpassed Swedish figures. By 2004, Ireland and Finland were respectively ranked as the top two leading nations in high-tech manufacturing by the OECD.

  15. d

    Selected time series of studies on wage- and salary development and on the...

    • da-ra.de
    Updated 2005
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    Walther G. Hoffmann; Rüdiger Hohls; Toni Pierenkemper (2005). Selected time series of studies on wage- and salary development and on the development of national income in Germany from 1850 to 1985 [Dataset]. http://doi.org/10.4232/1.8177
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    Dataset updated
    2005
    Dataset provided by
    GESIS Data Archive
    da|ra
    Authors
    Walther G. Hoffmann; Rüdiger Hohls; Toni Pierenkemper
    Time period covered
    1850 - 1985
    Area covered
    Germany
    Description

    The Data-compilation is a selection of time-series on wage- and salary development as well as on the development of the national income in Germany from 1850 to 1985. The following studies has been included: - Walther G. Hoffmann (1965): Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts.- Rüdiger Hohls (1991): Arbeit und Verdienst. Entwicklung und Struktur der Arbeitseinkommen im Deutschen Reich und in der Bundesrepublik.- Pierenkemper, Toni (1987): Arbeitsmarkt und Angestellte im deutschen Kaiserreich 1880-1913. Interessen und Strategien als Elemente der Integration eines segmentierten Arbeitsmarktes.- Wiegand, Erich/Zapf, Wolfgang (1982): Wandel der Lebensbedingungen in Deutschland. Wohlfahrtsentwicklung seit der Industrialisierung. Tables in ZA-Online-Database HISTAT: A. Hoffmann, Walther G.: The Growth of the German Economy since the mid of the 19th centuryA.1 The average earned income per annum by industrial sector (1850-1959)A.2 The average earned income per annum in mining and saline (1850-1959)A.3 The average earned income per annum in industry and craft (1850-1959)A.4 The average earned income per annum in transport (1850-1959)A.5 The average earned income per annum in other services (1850-1959)A.6 Net national product (NNP) in factor costs in current prices and national income per capita according to Hoffmann (1850-1959)A.7 Gross value added and real national income per capita in prices of 1913 according to Hoffmann (1850-1959)A.8 The development of average earned income of employees in industry and craft, Index 1913 = 100 (1850-1959) B. Hohls, Rüdiger: The Sectoral Structure of Earnings in GermanyB.1 Nominal annual earnings of employees by industrial sector in Germany in Mark, 1885-1985B.2 Nominal earnings of white collar workers and blue collar workers in Germany, 1890-1940 C. Living costs, prices and earnings, consumer price indexC.1 Development of living costs (index) of medium employees’ households (1924-1978)C.2 Preices and earnings, index 1962 = 100 (1820-2001)C.3 Living costs, consumer price index (1820-2001) D. Pierenkemper, Toni: Employment market and employees in the German ‘Reich’ 1880-1913.D.1 Income of selected white collar categories in Mark (1880-1913)D.2 Real income of selected white collar categories (1880-1913) E. Wiegand, E.: Historical Development of Wages and Living Costs in Germany.E.1 Development of real gross income of blue collar workers in industry, index 1970 = 100 (1925-1978)E.2 Development of real gross income of blue collar workers in industry (1925-1978)E.3 Development of nominal and real national income per capita (1950-1978) E.4 Development of nominal and real national income per capita (1925-1939)E.5 National income: monthly income from dependent personal services per employee (1925-1971)E.6 Overlook: Development of wages, employed workers and gross income from dependent personal services in Germany (1810-1989)

  16. d

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

    • da-ra.de
    • search.gesis.org
    • +1more
    Updated 2007
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    Walther G. Hoffmann (2007). The Growth of the German Economy since the Middle of the 19th Century. Chapter: Earned Income and Capital Income [Dataset]. http://doi.org/10.4232/1.8257
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    Dataset updated
    2007
    Dataset provided by
    da|ra
    GESIS Data Archive
    Authors
    Walther G. 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 Data excerpt: earned income and capital income(income compilation, the following factors have been taken into consideration): - average yearly earned income in mining and salt-mines (1850-1959).- average yearly earned income in industry and handicraft (1850-1959).- average yearly earned income in traffic system without German Federal Railways, German Federal Mail, and shipping (1950-1959).- average yearly earned income in traffic system (1850-1959).- average yearly earned income in trade, banks, insurances, and hotel and catering industry (1925-1939).- average yearly earned income in trade, banks, insurances, and hotel and catering industry (1950-1960).- average yearly earned income of employed in the public service (1851-1913).- average yearly earned income in the public service (1925-1950).- average yearly earned income in other services (1850-1959).- average yearly earned income by economic sectores (1850-1959).- earned income by economic sectores (1850-1959).- rate of return of the industrial sector´s stock corporations (1926-1959).- distribution of net social product in factor costs in current prices (1850 – 1959).

  17. U.S. minimum wage: real and nominal value 1938-2024

    • statista.com
    Updated Jul 26, 2024
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    Statista (2024). U.S. minimum wage: real and nominal value 1938-2024 [Dataset]. https://www.statista.com/statistics/1065466/real-nominal-value-minimum-wage-us/
    Explore at:
    Dataset updated
    Jul 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    When adjusted for inflation, the 2024 federal minimum wage in the United States is over 40 percent lower than the minimum wage in 1970. Although the real dollar minimum wage in 1970 was only 1.60 U.S. dollars, when expressed in nominal 2024 dollars this increases to 13.05 U.S. dollars. This is a significant difference from the federal minimum wage in 2024 of 7.25 U.S. dollars.

  18. N

    Waterford, CA Median Household Income Trends (2010-2023, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
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    Neilsberg Research (2025). Waterford, CA Median Household Income Trends (2010-2023, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/171725db-f81d-11ef-a994-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Waterford, California
    Variables measured
    Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It presents the median household income from the years 2010 to 2023 following an initial analysis and categorization of the census data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset illustrates the median household income in Waterford, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

    Key observations:

    From 2010 to 2023, the median household income for Waterford decreased by $1,950 (2.60%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

    Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 9 years and declined for 4 years.

    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 2022-inflation-adjusted dollars.

    Years for which data is available:

    • 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

    Variables / Data Columns

    • Year: This column presents the data year from 2010 to 2023
    • Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
    • YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
    • YOY Change(%): Percent change in median household income between current and the previous year

    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 Waterford median household income. You can refer the same here

  19. T

    India Total Disposable Personal Income

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 30, 2025
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    TRADING ECONOMICS (2025). India Total Disposable Personal Income [Dataset]. https://tradingeconomics.com/india/disposable-personal-income
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1950 - Dec 31, 2023
    Area covered
    India
    Description

    Disposable Personal Income in India increased to 296383300 INR Million in 2023 from 273364818.90 INR Million in 2022. This dataset provides - India Total Disposable Personal Income - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. Bachelor's degrees earned in the United States by gender 1950-2032

    • ai-chatbox.pro
    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Bachelor's degrees earned in the United States by gender 1950-2032 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F185157%2Fnumber-of-bachelor-degrees-by-gender-since-1950%2F%23XgboD02vawLKoDs%2BT%2BQLIV8B6B4Q9itA
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the academic year of 2020/21, about 860,760 male and 1.2 million female students earned a Bachelor's degree in the United States. By the academic year of 2031/32, the number of male Bachelor's degree recipients is expected to reach 975,020.

    Bachelor’s degrees in the United States

    American students typically earn a Bachelor’s degree for an undergraduate course of study and it is normally completed in four years. Depending on the major, students receive a Bachelor of Arts, Bachelor of Science, Bachelor of Business Administration, Bachelor of Fine Arts, or another type of certificate.

    In 2021, about 1.17 million white students earned a Bachelor's degree, followed by 324,848 Hispanic students.

    Bachelor's degrees and earnings

    When looking at the mean income of Bachelor’s degree holders in 2021, there are marked differences between the female and male Bachelor’s degree holders. Men with a Bachelor’s degree earned about 107,315 U.S. dollars per year, compared to women, who earned 77,099 U.S. dollars per year. In addition, salaries tended to increase the more educated a person was.

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(2024). Real Median Personal Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEPAINUSA672N

Real Median Personal Income in the United States

MEPAINUSA672N

Explore at:
48 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Sep 10, 2024
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Area covered
United States
Description

Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2023 about personal income, personal, median, income, real, and USA.

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