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.

Explore the progression of average salaries for graduates in Science (Alien Also Has A Master'S In Electrical Engineering - 1986) from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Science (Alien Also Has A Master'S In Electrical Engineering - 1986) relative to other fields. This data is essential for students assessing the return on investment of their education in Science (Alien Also Has A Master'S In Electrical Engineering - 1986), providing a clear picture of financial prospects post-graduation.

Key information about China Household Income per Capita

• China Annual Household Income per Capita reached 4,805.935 USD in Dec 2013, compared with the previous value of 4,273.467 USD in Dec 2012.
• China Annual Household Income per Capita data is updated yearly, available from Dec 1985 to Dec 2013, with an averaged value of 711.353 USD.
• The data reached an all-time high of 4,805.935 USD in Dec 2013 and a record low of 262.918 USD in Dec 1986.
• In the latest reports, Retail Sales of China grew 12.700 % YoY in May 2023.

CEIC converts Annual Household Income per Capita into USD. The National Bureau of Statistics provides Average Household Income per Capita in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Household Income covers urban area only.

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.

South Korea's Occupational Wage Survey (OWS) is an annual business establishment survey conducted since 1970 by South Korea's Ministry of Labor. The dataset contains detailed information on individual workers' earnings, hours worked, educational attainment, actual labor market experience, occupation, industry, and region. The surveyed establishments must employ at least ten workers and were selected by a stratified random sampling method. Because they exclude workers in small enterprises, the self-employed, family workers, temporary workers, and public sector workers, the surveys represent approximately one-half of South Korea's total nonagricultural labor force. The samples for each year are randomly drawn from the original surveys. The surveys cover all industries up through 1986. After 1986, agriculture, forestry, hunting, and fishing are excluded. This change in sampling procedure does not appear to cause a significant change in the types of nonfarm enterprises covered by the survey.

The Recent College Graduates (RCG) survey estimates the potential supply of newly qualified teachers in the United States and explores the immediate post-degree employment and education experiences of individuals obtaining bachelor's or master's degrees from American colleges and universities. The RCG survey, which focuses heavily, but not exclusively, on those graduates qualified to teach at the elementary and secondary levels, is designed to meet the following objectives: (1) to determine how many graduates become eligible or qualified to teach for the first time and how many are employed as teachers in the year following graduation, by teaching field, (2) to examine the relationship between courses taken, student achievement, and occupational outcomes, and (3) to monitor unemployment rates and average salaries of graduates by field of study. The RCG survey collects information on education and employment of all graduates (date of graduation, field of study, whether newly qualified to teach, further enrollment, financial aid, employment status, and teacher employment characteristics), as well as standard demographic characteristics such as earnings, age, marital status, sex, and race/ethnicity.

Graph and download economic data for Median Household Income in Massachusetts (MEHOINUSMAA646N) from 1984 to 2023 about MA, households, median, income, and USA.

Iran IR: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 12.500 % in 2022. This records a decrease from the previous number of 13.200 % for 2021. Iran IR: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 12.700 % from Dec 1986 (Median) to 2022, with 19 observations. The data reached an all-time high of 20.600 % in 1986 and a record low of 10.500 % in 2013. Iran IR: Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iran – Table IR.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Sri Lanka Average Daily Wage: Manufacturing data was reported at 413.950 LKR in 2016. This records an increase from the previous number of 411.070 LKR for 2015. Sri Lanka Average Daily Wage: Manufacturing data is updated yearly, averaging 105.060 LKR from Dec 1986 (Median) to 2016, with 31 observations. The data reached an all-time high of 413.950 LKR in 2016 and a record low of 25.320 LKR in 1986. Sri Lanka Average Daily Wage: Manufacturing data remains active status in CEIC and is reported by Department of Labour. The data is categorized under Global Database’s Sri Lanka – Table LK.G026: Average Daily Wage.

This data collection focuses on persons engaged in the fields of natural science, social science, and engineering as well as in related occupations. The aim of the SSE was to gauge the effects of rapid development and innovation in science and technology during recent years on highly trained scientists and engineers in specific target occupations. Variables in this collection, which encompasses both the original 1982 survey data and data from the 1984 and 1986 follow-ups, include occupation, formal and supplemental education and training, current employment characteristics, job history, annual salary, whether work is supported by United States government funds, funding agency or department, and percentage of time devoted to specific work activities, particularly those that are energy-related. Demographic characteristics supplied include sex, race, Hispanic origin, and marital status.

Number of Persons: Male: Annual Salary: 5 to 6 Million data was reported at 3,899,275.000 Person in 2017. This records an increase from the previous number of 3,665,746.000 Person for 2016. Number of Persons: Male: Annual Salary: 5 to 6 Million data is updated yearly, averaging 3,696,654.000 Person from Dec 1986 (Median) to 2017, with 32 observations. The data reached an all-time high of 4,314,761.000 Person in 1996 and a record low of 2,856,017.000 Person in 1986. Number of Persons: Male: Annual Salary: 5 to 6 Million data remains active status in CEIC and is reported by National Tax Agency. The data is categorized under Global Database’s Japan – Table JP.G103: Number of Private Sector Employees: Annual Salary.

Historical: Gross domestic product, income-based, based on the 1968 System of National Accounts international standards, 1926 to 1986.

Graph and download economic data for Real Median Household Income in New Jersey (MEHOINUSNJA672N) from 1984 to 2023 about NJ, households, median, income, real, and USA.

Historical: Wages, salaries and supplementary labour income, by industry, based on the 1968 System of National Accounts international standards, 1926 to 1986.

Since August 1986, the mean weekly earnings of female, part-time employees in Australia have exceeded those of their male equivalents. In August 2024, at 703 Australian dollars, the mean weekly earnings of a female part-time employee in Australia were 80 Australian dollars more than an equivalent male's weekly earnings.

Local Government Area (LGA) based data for Individual Income (Annual), from the Australian Bureau of Statistics (ABS) 1986 Census of Population and Housing. Census counts were based on place of usual residence which excludes overseas visitors, Australians overseas, and adjustments for under-enumeration. The data is by LGA 1986 boundaries. Periodicity: 5-Yearly. This data is used with permission from the ABS. The tabular data was supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1986 geographic boundaries (cat. no. 1261.0.30.001) are available from Data.gov.au. For more information please refer to the 1986 Census Dictionary (cat. no. 2102.0).

Abstract copyright UK Data Service and data collection copyright owner. The New Earnings Survey (NES) is an annual survey of the earnings of employees in Great Britain. Its primary purpose is to obtain information about the levels, distribution and make-up of earnings, and for the collective agreements that cover them. The NES is designed to represent all categories of employees in businesses of all kinds and sizes. It provides a large amount of information on earnings and hours (including bonuses, overtime, etc) as well as industry information derived from the Inter-Departmental Business Register. It provides no information on personal characteristics of the employee apart from age and gender. Most variables are collected each year, although a few additional questions asked each year may or may not be asked in other years. The earnings, hours of work and other information relate to a specified week in April of each year. The NES sampling frame is mainly supplied by Inland Revenue records. It is based largely on a one per cent sample of employees who are members of Pay-As-You-Earn (PAYE) income tax schemes. The PAYE sample is supplemented by data provided by large employers, using extracts from their payroll systems. A survey form is sent to employers, and completion is compulsory under the Statistics of Trade Act 1947. Some large businesses make automatic submissions direct from their electronic records. Certain categories of employees are not selected: for example the Armed Forces, those employed in Enterprise Zones, private domestic service workers, occupational pensioners, non-salaried directors, those employed oversees, those working for their spouses, and clergymen holding pastoral appointments. The NES was replaced by the Annual Survey of Hours and Earnings (UK Data Archive SN 6689) in 2004. Further information on the NES can be found on the Office for National Statistics' (ONS) New Earnings Survey web page. There are a number of issues and inconsistencies associated with the NES data. Users are advised to read the documentation carefully before using the dataset. For example, ONS advise for safety reasons that only data from 1998 onwards should be used because 1998 was the first year that annual earnings were validated properly and published. Geographical references: postcodes The postcodes available in these data from 1996 are pseudo-anonymised postcodes. The real postcodes are not available due to the potential risk of identification of the observations. However, these replacement postcodes retain the inherent nested characteristics of real postcodes, and will allow researchers to aggregate observations to other geographic units, e.g. wards, super output areas, etc. In the dataset, the variable of the replacement postcode is 'new_PC'. Main Topics: The NES collects the following data for employees in all industries and occupations and for the major national collective agreements:levels, distributions and make-up of earningshours workedindustryoccupationplace of workgender age Simple random sample One per cent sample of individuals from National Insurance records

Japan Number of Persons: Annual Salary: 5 to 6 Million data was reported at 4,977,688.000 Person in 2017. This records an increase from the previous number of 4,662,502.000 Person for 2016. Japan Number of Persons: Annual Salary: 5 to 6 Million data is updated yearly, averaging 4,505,249.500 Person from Dec 1986 (Median) to 2017, with 32 observations. The data reached an all-time high of 4,977,688.000 Person in 2017 and a record low of 3,060,335.000 Person in 1986. Japan Number of Persons: Annual Salary: 5 to 6 Million data remains active status in CEIC and is reported by National Tax Agency. The data is categorized under Global Database’s Japan – Table JP.G103: Number of Private Sector Employees: Annual Salary.

Statistical Local Area (SLA) based data for Individual Income Annual, 1986 census. Census counts were based on place of usual residence which; excludes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1986 boundaries. Periodicity: 5-Yearly. This data is ABS data (original geographic boundary cat. no. 1261.0.30.001 & census dictionary cat. no. 2102.0) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1986 geographic boundaries are available from data.gov.au. For more information please refer to the 1986 Census Dictionary.

Analysis of ‘Hitters Baseball Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mathchi/hitters-baseball-data on 30 September 2021.

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

Baseball Data

Description

Major League Baseball Data from the 1986 and 1987 seasons.

Usage

Hitters

Format

A data frame with 322 observations of major league players on the following 20 variables.

• AtBat: Number of times at bat in 1986

• Hits: Number of hits in 1986

• HmRun: Number of home runs in 1986

• Runs: Number of runs in 1986

• RBI: Number of runs batted in in 1986

• Walks: Number of walks in 1986

• Years: Number of years in the major leagues

• CAtBat: Number of times at bat during his career

• CHits: Number of hits during his career

• CHmRun: Number of home runs during his career

• CRuns: Number of runs during his career

• CRBI: Number of runs batted in during his career

• CWalks: Number of walks during his career

• League: A factor with levels A and N indicating player's league at the end of 1986

• Division: A factor with levels E and W indicating player's division at the end of 1986

• PutOuts: Number of put outs in 1986

• Assists: Number of assists in 1986

• Errors: Number of errors in 1986

• Salary: 1987 annual salary on opening day in thousands of dollars

• NewLeague: A factor with levels A and N indicating player's league at the beginning of 1987

Source

This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. This is part of the data that was used in the 1988 ASA Graphics Section Poster Session. The salary data were originally from Sports Illustrated, April 20, 1987. The 1986 and career statistics were obtained from The 1987 Baseball Encyclopedia Update published by Collier Books, Macmillan Publishing Company, New York.

References

Games, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) An Introduction to Statistical Learning with applications in R, www.StatLearning.com, Springer-Verlag, New York

Examples

summary(Hitters)

lm(Salary~AtBat+Hits,data=Hitters)

Dataset imported from https://www.r-project.org.

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