Graph and download economic data for Real Median Family Income in the United States (MEFAINUSA672N) from 1953 to 2024 about family, median, income, real, and USA.

Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2024 about personal income, personal, median, income, real, and USA.

In 2024 the median annual income of Asian households in the United States was 121,700 U.S. dollars. They were followed by White households, who's median earnings were 92,530 U.S. dollars. Furthermore, Black Americans and American Indian and Alaska Native families had the lowest household incomes. That year, median income among all U.S. household rose to 83,730 U.S. dollars.

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) ...).

Wages in Manufacturing in the United States increased to 29.03 USD/Hour in August from 29.01 USD/Hour in July of 2025. This dataset provides - United States Average Hourly Wages in Manufacturing - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Przeciętne miesięczne wynagrodzenie brutto to stosunek sumy wynagrodzeń osobowych brutto, honorariów wypłaconych niektórym grupom pracowników za prace wynikające z umowy o pracę, wypłat z tytułu udziału w zysku lub w nadwyżce bilansowej w spółdzielniach oraz dodatkowych wynagrodzeń rocznych dla pracowników jednostek sfery budżetowej do przeciętnej liczby zatrudnionych w danym okresie; po wyeliminowaniu osób wykonujących pracę nakładczą oraz zatrudnionych za granicą.

Graph and download economic data for Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over (LES1252881600Q) from Q1 1979 to Q2 2025 about full-time, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

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 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

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)

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

Abstract copyright UK Data Service and data collection copyright owner.

The OECD Employment and Labour Market Statistics provide detailed annual information the employment and labour market for the period 1950/60 onwards for all OECD countries (where data is available).
The OECD Employment and Labour Market Statistics includes a range of annual labour market statistics and indicators broken down by sex and age as well as information about part-time and short-time workers, job tenure, hours worked, unemployment duration, trade union, employment protection legislation, minimum wages, labour market programmes for OECD countries and non-member economies.
These data were first provided by the UK Data Service in February 2015.

Main Topics:

• administrative data
• age dependency ratio
• age groups
• age structure
• agriculture
• armed force
• average salary
• average tenure s
• average wages
• births
• broad economic activities
• civil employment
• civilian labour
• collective dismissals
• constant prices
• current prices
• death rates
• dependent employment
• discouraged workers
• dismissals
• duration of unemployment
• earning-dispersion measures
• earnings
• employee density
• employee turnover
• employee union
• employees
• employment
• employment protection legislation
• employment ratio
• employment status
• exchange rate
• finance
• full-time
• full-year equivalent employee
• gender
• gross earnings
• health
• incidents
• independent workers
• industry
• Involuntary part time workers
• job tenure
• jobs
• labour
• labour force
• labour force forecasts
• labour market
• labour market fluidity
• labour market programmes
• labour regulation
• low pay incidence
• median wages
• membership
• migration rates
• minimum wages
• national legislation
• natural increase rates
• pension age
• population
• population baseline
• population estimates females
• population projections
• PPP
• professional status
• real estate
• rigidness
• salary earner ratio
• salary earners
• self-employed
• services
• short-time workers
• standardised age groups
• statistics
• strict regulation
• strictness of legislation
• survey data
• synthetic indicators
• total employment
• total increase rates
• trade union
• trade union members
• transport
• turnover rate
• unemployment
• union members
• unpaid family workers
• unpaid workers
• vital statistics
• weekly hours
• working age ratio

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).

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)

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 Real Median Household Income in Michigan (MEHOINUSMIA672N) from 1984 to 2024 about MI, households, median, income, real, and USA.

About this dataset

Context

The dataset illustrates the median household income in Blountstown, 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 Blountstown increased by $1,950 (4.64%), 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 Blountstown median household income. You can refer the same here

United States CPI W: Recreation: VA: Televisions data was reported at 1.990 1982-1984=100 in Jun 2018. This records an increase from the previous number of 1.989 1982-1984=100 for May 2018. United States CPI W: Recreation: VA: Televisions data is updated monthly, averaging 74.400 1982-1984=100 from Dec 1950 (Median) to Jun 2018, with 679 observations. The data reached an all-time high of 169.300 1982-1984=100 in Mar 1951 and a record low of 1.989 1982-1984=100 in May 2018. United States CPI W: Recreation: VA: Televisions data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I012: Consumer Price Index: Urban Wage and Clerical Workers.

In the academic year of 2021/22, about 835,320 male and almost 1.18 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.