Graph and download economic data for Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over (LEU0252881600Q) from Q1 1979 to Q1 2025 about full-time, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

In 2023, the median hourly earnings of wage and salary workers in the United States was 19.24 U.S. dollars. This is an increase from 1979, when median hourly earnings were at 4.44 U.S. dollars. Hourly Workers The United States national minimum wage is 7.25 U.S. dollars per hour, which has been the minimum wage since 2009. However, each state has the agency to set their state minimum wage. Furthermore, some cities are able to create their minimum wage. Many argue that the minimum wage is too low and should be raised, because it is not considered a living wage. There has been a movement to raise the minimum wage to 15 U.S. dollars per hour, called “Fight for 15” which began in the early 2010s. While there has been no movement at the federal level, some states have moved to increase their minimum wages, with at least three states and the District of Columbia setting minimum wage rates at or above 15 dollars per hour. More recently, some proponents of increasing the minimum wage say that 15 dollars is too low, and lawmakers should strive toward a higher goal, especially given that a 2021 analysis found that the minimum wage in the U.S. should be 22.88 U.S. dollars if it grew at the same rate as economic productivity. Salary Workers On the other hand, salary workers in the United States do not get paid on an hourly basis. The median weekly earnings of salary workers have significantly increased since 1979. Asian salary workers had the highest hourly earnings in the U.S. in 2021. Among female salary workers, those ages 45 to 54 years old had the highest median hourly earnings in 2021, likewise for male salary workers.

United States - Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over was 373.00000 1982-84 CPI Adjusted $ in January of 2025, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over reached a record high of 393.00000 in April of 2020 and a record low of 309.00000 in July of 1981. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over - last updated from the United States Federal Reserve on June of 2025.

United States Avg Weekly Earnings: 1982-84p: sa: Other Services data was reported at 315.250 USD in Jan 2019. This records an increase from the previous number of 314.170 USD for Dec 2018. United States Avg Weekly Earnings: 1982-84p: sa: Other Services data is updated monthly, averaging 292.320 USD from Mar 2006 (Median) to Jan 2019, with 155 observations. The data reached an all-time high of 315.250 USD in Jan 2019 and a record low of 273.700 USD in Jul 2008. United States Avg Weekly Earnings: 1982-84p: sa: Other Services data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G039: Current Employment Statistics Survey: Real Average Weekly and Hourly Earnings: Seasonally Adjusted.

United States Avg Weekly Earnings: 1982-84p: sa: Construction data was reported at 476.730 USD in Jan 2019. This records an increase from the previous number of 473.790 USD for Dec 2018. United States Avg Weekly Earnings: 1982-84p: sa: Construction data is updated monthly, averaging 435.900 USD from Mar 2006 (Median) to Jan 2019, with 155 observations. The data reached an all-time high of 476.730 USD in Jan 2019 and a record low of 410.310 USD in Mar 2006. United States Avg Weekly Earnings: 1982-84p: sa: Construction data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G039: Current Employment Statistics Survey: Real Average Weekly and Hourly Earnings: Seasonally Adjusted.

United States Avg Hourly Earnings: 1982-84p: Retail Trade data was reported at 7.700 USD in Jan 2019. This records an increase from the previous number of 7.580 USD for Dec 2018. United States Avg Hourly Earnings: 1982-84p: Retail Trade data is updated monthly, averaging 7.210 USD from Mar 2006 (Median) to Jan 2019, with 155 observations. The data reached an all-time high of 7.700 USD in Jan 2019 and a record low of 6.910 USD in Jul 2008. United States Avg Hourly Earnings: 1982-84p: Retail Trade data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G038: Current Employment Statistics Survey: Real Average Weekly and Hourly Earnings.

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)

United States Avg Hourly Earnings: 1982-84p: sa: Educational & Health data was reported at 10.860 USD in Jan 2019. This records an increase from the previous number of 10.810 USD for Dec 2018. United States Avg Hourly Earnings: 1982-84p: sa: Educational & Health data is updated monthly, averaging 10.450 USD from Mar 2006 (Median) to Jan 2019, with 155 observations. The data reached an all-time high of 10.860 USD in Jan 2019 and a record low of 9.820 USD in Jul 2008. United States Avg Hourly Earnings: 1982-84p: sa: Educational & Health data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G039: Current Employment Statistics Survey: Real Average Weekly and Hourly Earnings: Seasonally Adjusted.

The Swedish income panel was originally set up in the beginning of the 90s to make studies of how immigrants assimilate in the Swedish labour market possible. It consists of large samples of foreign-born and Swedish-born persons. Income information from registers is added for nearly 40 years. In addition income information relating to spouses is also available as well as for a subset of mothers and fathers. This makes it possible to construct measures of household income based on a relatively narrow definition. However, starting in 1998 there is also more information making it possible to include children over 18 and their incomes in the family. By matching with some different additional registers information has been added for people who have been unemployed or involved in labour market programmes during the 90s, on causes of deaths for people who have deceased since 1978 and on recent arrived immigrants from various origins. It has turned out that the data-base is quite useful for analysing research-questions other than originally motivating construction of the panel. The panel has been used for cross country comparisons of immigrants in the labour market and to analyse income mobility for different breakdowns of the population, and analyses the development in cohort income. There have been analyses of social assistance receipt among immigrants as well as studies of intergeneration mobility of income, the labour market situation of young immigrants and the second generation of immigrants. On-going work includes evaluation of labour market training programmes and studies of early retirement among immigrants. Planned work includes studies of the economic transition from child to adulthood during the 80s and 90s as well as studies of how frequent immigrant children are subject to measures under the Social Service Act and the Care of Youth Persons Act. The potentials of the Swedish Income Panel can be understood if one compares it with better known income-panels in other countries. For example SWIP covers more years and has a larger sample than the German Socio-Economic Panel (GSOEP). On the other hand, the fact that information is obtained from registers only makes this Swedish panel less rich in variables. There are striking parallels between the Gothenburg Income Panel and the labour market panel at the Centre for Labour Market and Social Research in Aarhus for the Danish population.

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 Jefferson 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 2011 and 2021, 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 Jefferson County, the median household income for the households where the householder is White increased by $1,982(3.40%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $58,319 in 2011 and $60,301 in 2021.
• Black or African American: In Jefferson County, the median household income for the households where the householder is Black or African American increased by $914(2.52%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $36,294 in 2011 and $37,208 in 2021.
• 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

https://i.neilsberg.com/ch/jefferson-county-il-median-household-income-by-race-trends.jpeg" alt="Jefferson County, IL median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Jefferson 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
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-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 Jefferson County median household income by race. You can refer the same here

United States Avg Hourly Earnings: 1982-84p: sa: Information data was reported at 16.590 USD in Jan 2019. This records an increase from the previous number of 16.370 USD for Dec 2018. United States Avg Hourly Earnings: 1982-84p: sa: Information data is updated monthly, averaging 14.100 USD from Mar 2006 (Median) to Jan 2019, with 155 observations. The data reached an all-time high of 16.590 USD in Jan 2019 and a record low of 13.120 USD in Jun 2008. United States Avg Hourly Earnings: 1982-84p: sa: Information data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G039: Current Employment Statistics Survey: Real Average Weekly and Hourly Earnings: Seasonally Adjusted.

In 2023, the U.S. Consumer Price Index was 309.42, and is projected to increase to 352.27 by 2029. The base period was 1982-84. The monthly CPI for all urban consumers in the U.S. can be accessed here. After a time of high inflation, the U.S. inflation rateis projected fall to two percent by 2027. United States Consumer Price Index ForecastIt is projected that the CPI will continue to rise year over year, reaching 325.6 in 2027. The Consumer Price Index of all urban consumers in previous years was lower, and has risen every year since 1992, except in 2009, when the CPI went from 215.30 in 2008 to 214.54 in 2009. The monthly unadjusted Consumer Price Index was 296.17 for the month of August in 2022. The U.S. CPI measures changes in the price of consumer goods and services purchased by households and is thought to reflect inflation in the U.S. as well as the health of the economy. The U.S. Bureau of Labor Statistics calculates the CPI and defines it as, "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services." The BLS records the price of thousands of goods and services month by month. They consider goods and services within eight main categories: food and beverage, housing, apparel, transportation, medical care, recreation, education, and other goods and services. They aggregate the data collected in order to compare how much it would cost a consumer to buy the same market basket of goods and services within one month or one year compared with the previous month or year. Given that the CPI is used to calculate U.S. inflation, the CPI influences the annual adjustments of many financial institutions in the United States, both private and public. Wages, social security payments, and pensions are all affected by the CPI.

Uganda's Gross National Income (Real) is US$40,060,542,800 which is the 73rd highest in the world ranking. Transition graphs on Gross National Income (Real) in Uganda and comparison bar charts (USA vs. China vs. Uganda), (Spain vs. Argentina vs. Uganda) are used for easy understanding. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

In 1979, about 3.99 million workers were paid hourly rates at the official minimum wage. In 2023, about 81,000 workers were paid hourly rates at the prevailing minimum wage. The prevailing Federal minimum wage was 7.25 U.S. dollars per hour in 2023.

Analysis of ‘💰 US Median Weekly Earnings by Year’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/us-median-weekly-earnings-by-yeare on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

Adjusted to be in constant (1982-1984) dollars using CPI-U. For full-time employed workers only.

Source: US Bureau of Labor Statistics

​

This dataset was created by Chris Awram and contains around 0 samples along with Median Weekly Earnings, Year, technical information and other features such as: - Median Weekly Earnings - Year - and more.

How to use this dataset

• Analyze Median Weekly Earnings in relation to Year
• Study the influence of Median Weekly Earnings on Year
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Chris Awram

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

In January 2025, the unadjusted consumer price index (CPI) of all items for urban consumers in the United States amounted to about 317.67. The data represents U.S. city averages. The base period was 1982-84=100. The CPI is defined by the United States Bureau of Labor Statistics as “a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services”. The annual consumer price index for urban consumers in the U.S. can be accessed here. Consumer Price Index The Consumer Price Index (CPI) began in 1919 under the Bureau of Labor Statistics and is published every month. The CPI for all urban consumers includes urban households in Metropolitan Statistical Areas and regions with over 2,500 inhabitants, as well as non-farm consumers living in rural regions. This index was established in 1978 and includes about 80 percent of the U.S. population. The monthly CPI of urban consumers in the United States increased from 292.3 in May 2022 to 304.13 in 2023. Inflation tends not to impact everyone equally for a variety of reasons, including geography - CPI often differs between regions, with a high of 287.49 in the Western region as of 2021. There are also disparities in inflation between income quartiles, in which inflation is generally felt more heavily by lower income households. The annual CPI in the United States has increased steadily over the past two decades, from 140.3 in 1992 to 292.56 in 2022. A forecast of the CPI expects this positive trend to continue, reaching 325.6 by 2027. As of March 2023, the CPI of the nation’s education had increased by 3.5 percent. Further, in the same month costs of recreation, rent, housing, medical care, and food and beverages, gasoline, and transportation increased. Comparatively, the CPI in Hong Kong reached 103.3 in 2022.

Abstract

The survey covers a sample of establishments in the organised sector ( establishments with 5 or more paid employees ) engaged in production, construction, transport, storage and business services etc. Although it covers both public and private sector establishments is limited to the Statutory Boards, Corporations and a few Government Departments such as the Department of Buildings, the Marketing Department, the Railway Workshop, the Goverment Factory, the Goverment Printer etc. Other Departments whose functions do not strictly come within the scope of the survey were excluded.

The objective of the sample survey is to collect detailed labour statistics on a repetitive basis to indicate trends. Statistics of earnings and hours of work are collected including number employed, man days worked and paid for normal, and overtime man hours and the components of the total wage bill. These statistics are collected according to the eightfold broad occupational categories e.g. Administrative & Managerial Workers, Professional, Technical and Related Workers, Clerical and Related Workers etc.

Geographic coverage

National coverage.

Analysis unit

The survey covers establishments with 5 or more paid employees.

Universe

Industries with five or more paid employees.

Kind of data

Sample survey data [ssd]

Sampling procedure

A probability sample of about 1750 establishments were selected for the survey from some 12,000 establishments, the frame being the responding establishments of the Annual Employment Survey 1981. About 900 establishments with employees over 100 were included in the Survey as a whole and establishments with employees below were subjected to sample selection. The method of stratified random sampling was adopted to select the establishments such that the sample will be optimum in size to give the estimates a predetermined degree of precision which was fixed at 5% error at 95% confidence limits.

Mode of data collection

Other [oth]

Research instrument

In 1982, the same schedule which was used in 1981, was used to collect the data.

Cleaning operations

Certain edit checks were introduced in the Computer Programs and on the basis of that some quality checks were exercised.

This data collection supplies standard monthly labor force data for the week prior to the survey. Comprehensive information is given on the employment status, occupation, and industry of persons 14 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence. Besides the CPS core questions, this survey also gathered supplemental data on birth history, birth expectations, and child care arrangements. Data for women aged 15-59 years include the total number of children ever born, date of birth of the first child and most recent child, and date of first marriage. Women aged 18-44 years with a child under five years old in the household were asked about child care arrangements, including location of the facility, hours child care was provided, if cash or noncash payments were made, and whether they would work more hours if satisfactory child care was available. Information on demographic characteristics, such as age, sex, race, marital status, veteran status, household relationship, educational background, and Hispanic origin, is available for each person in the household enumerated.

United States Avg Weekly Earnings: 1982-84p: sa: Private data was reported at 376.300 USD in Jan 2019. This records an increase from the previous number of 375.820 USD for Dec 2018. United States Avg Weekly Earnings: 1982-84p: sa: Private data is updated monthly, averaging 353.950 USD from Mar 2006 (Median) to Jan 2019, with 155 observations. The data reached an all-time high of 376.300 USD in Jan 2019 and a record low of 338.280 USD in Jul 2008. United States Avg Weekly Earnings: 1982-84p: sa: Private data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G039: Current Employment Statistics Survey: Real Average Weekly and Hourly Earnings: Seasonally Adjusted.

The Swedish income panel was originally set up in the beginning of the 90s to make studies of how immigrants assimilate in the Swedish labour market possible. It consists of large samples of foreign-born and Swedish-born persons. Income information from registers is added for nearly 40 years. In addition income information relating to spouses is also available as well as for a subset of mothers and fathers. This makes it possible to construct measures of household income based on a relatively narrow definition. However, starting in 1998 there is also more information making it possible to include children over 18 and their incomes in the family. By matching with some different additional registers information has been added for people who have been unemployed or involved in labour market programmes during the 90s, on causes of deaths for people who have deceased since 1978 and on recent arrived immigrants from various origins. It has turned out that the data-base is quite useful for analysing research-questions other than originally motivating construction of the panel. The panel has been used for cross country comparisons of immigrants in the labour market and to analyse income mobility for different breakdowns of the population, and analyses the development in cohort income. There have been analyses of social assistance receipt among immigrants as well as studies of intergeneration mobility of income, the labour market situation of young immigrants and the second generation of immigrants. On-going work includes evaluation of labour market training programmes and studies of early retirement among immigrants. Planned work includes studies of the economic transition from child to adulthood during the 80s and 90s as well as studies of how frequent immigrant children are subject to measures under the Social Service Act and the Care of Youth Persons Act. The potentials of the Swedish Income Panel can be understood if one compares it with better known income-panels in other countries. For example SWIP covers more years and has a larger sample than the German Socio-Economic Panel (GSOEP). On the other hand, the fact that information is obtained from registers only makes this Swedish panel less rich in variables. There are striking parallels between the Gothenburg Income Panel and the labour market panel at the Centre for Labour Market and Social Research in Aarhus for the Danish population.