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.

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.

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.

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.

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.

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.

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) ...).

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.

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)

Units: euros and dollars Sources. France: file "IPP-prelevements-sociaux-avril2012.xls" available on www.ipp.eu (we selected the values corresponding to January the 1st of each year; the complete revaluation series are given in the IPP table) USA: official series of Bureau of Labor Statistics (we selected the values corresponding to January the 1st of each year; the complete revaluation series are given in the BLS file) (consumer price index for France et US from Piketty-Zucman 2013, files France.xls et USA.xls; links frozen on 2-20-13)

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)

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).

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

Graph and download economic data for Construction Wage Rates, Common Labor for United States (M08259USM055NNBR) from Jan 1922 to Oct 1950 about construction, wages, labor, rate, and USA.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in McDonald County. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In McDonald County, the median household income for the households where the householder is White decreased by $1,950(3.89%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $50,083 in 2013 and $48,133 in 2023.
• Black or African American: In McDonald County, the median household income for the households where the householder is Black or African American increased by $23,870(112.19%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $21,277 in 2013 and $45,147 in 2023.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in McDonald County.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

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 McDonald County median household income by race. You can refer the same here

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.

About this dataset

Context

The dataset illustrates the median household income in Goodland, 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 Goodland increased by $1,950 (3.75%), 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 5 years and declined for 8 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 Goodland median household income. You can refer the same here

Graph and download economic data for Federal Minimum Hourly Wage for Nonfarm Workers for the United States (FEDMINNFRWG) from Oct 1938 to Jun 2025 about per hour, minimum wage, nonfarm, workers, hours, federal, wages, and USA.

Graph and download economic data for Share of Labour Compensation in GDP at Current National Prices for United States (LABSHPUSA156NRUG) from 1950 to 2019 about compensation, labor, GDP, and USA.

Japan GDP per capita for 2023 was $33,767, a 0.74% decline from 2022.

<ul style='margin-top:20px;'>

<li>Japan GDP per capita for 2022 was <strong>$34,017</strong>, a <strong>15.08% decline</strong> from 2021.</li>
<li>Japan GDP per capita for 2021 was <strong>$40,059</strong>, a <strong>0.04% increase</strong> from 2020.</li>
<li>Japan GDP per capita for 2020 was <strong>$40,041</strong>, a <strong>0.93% decline</strong> from 2019.</li>
</ul>GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars.