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 repository contains code and the publicly disclosed data to accompany the article, "Minimum Wage Increases and Low-Wage Employment: Evidence from Seattle." Seattle raised its minimum wage to as much as $11 in 2015 and as much to $13 in 2016. We use Washington State administrative data to conduct two complementary analyses of its impact. Relative to outlying regions of the state identified by the synthetic control method, aggregate employment at wages less than twice the original minimum, measured by total hours worked, declined. A portion of this reduction reflects jobs transitioning to wages above the threshold; the aggregate analysis likely overstates employment effects. Longitudinal analysis of individual Seattle workers matched to counterparts in outlying regions reveals no change in the probability of continued employment, but significant reductions in hours particularly for less-experienced workers. Job turnover declined, as did hiring of new workers into low-wage jobs. Analyses suggest aggregate employment elasticities in the range of -0.2 to -2.0, concentrated on the intensive margin in the short run and largest among inexperienced workers.

Wages for regular pay in the United Kingdom grew by approximately five percent in June 2025, although when adjusted for inflation, wages for regular pay only grew in real terms by 0.9 percent. Twenty months of inflation outpacing wages Between November 2021 and June 2023, inflation was higher than wage growth in the UK, resulting in falling real terms earnings throughout this 20-month period. While UK inflation peaked at 11.1 percent in October 2022, it was not until April 2023 that it fell below double figures, and not until May 2024 that it reached the Bank of England's target of two percent. Forecasts from the Autumn 2024 budget predict that the annual UK inflation for 2024 will be 2.5 percent, down from 7.3 percent in 2023 and 9.1 percent in 2022. Due to high inflation, the UK's minimum wage also rose quite significantly during this period, with the "main" rate increasing from 8.91 pounds per hour in 2021 to 12.21 pounds per hour in 2025. Average earnings and gender pay gap For full-time workers in the United Kingdom, the median average annual earnings was 37,430 British pounds in 2024, compared with 34,663 pounds in 2023. In London, average earnings were significantly higher than the rest of the country, at 47,455 pounds. Just two other areas of the United Kingdom, the South East and Scotland, had annual salaries above the UK average. North East England had the lowest average salary, at 32,960 pounds. As of 2024, the gender pay gap for median gross hourly earnings in the UK was 13.1 percent for all workers, falling to seven percent for full-time workers and -3 percent for part-time workers. Compared with 1997, when the gender pay gap was 27.5 percent for all workers, there has been a degree of progress, although, at current trends, it will be some time before the gap is closed entirely.

This package contains data and scripts for reproducing the results of the article: Union Wage Effect in Sweden: Evidence from the Interwar Period. The main dataset includes a new database with information on workplaces during the interwar period, including worked hours, number of workers, and wages paid. The database is based on primary materials from the official Swedish wage statistics.

Forecast: Paper and Paperboard Machinery Wages and Salaries in the UK 2024 - 2028 Discover more data with ReportLinker!

According to several ONS measures, real wages have been falling since 2010. This article uses ONS data to examine four possible factors behind this; productivity, real wage wedges, hours worked, and workforce composition. Source agency: Office for National Statistics Designation: Supporting material Language: English Alternative title: Falling Real Wages

This data archive consists of a digitized database of all of India's daily minimum wages across states and detailed industries for the years 1983, 1985/86, 1993, 1998, 2004, and 2006. These data are otherwise only available on paper and/or pdf documents. The data are provided as Excel and Stata files, including aggregate codes by broad industry group that the principal investigators assigned during their research.

Abstract This paper studies potential explanations of the declining wage inequality in Brazil such as changes in demographic/skill composition, wage structure, occupations/sectors and minimum wage. I perform a wage inequality decomposition to quantify composition and price effects and use a CES production function to estimate the effects of the skill supply on relative wages. I find that the fall in upper-tail inequality is driven by changes in the returns to education and experience, while that in lower-tail inequality is also given by those to minimum wage and female workers. These patterns are consistent with the decline in relative wages between skill groups which are given by the increase in both the supply of skills and the real minimum wage.

Forecast: Fur Articles Wages and Salaries in France 2024 - 2028 Discover more data with ReportLinker!

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Paper goods machine setters, operators, and tenders occupations: 16 years and over (LEU0254574100A) from 2000 to 2011 about machines, second quartile, operating, occupation, paper, full-time, salaries, workers, earnings, 16 years +, wages, goods, median, employment, and USA.

The gender wage gap indicator compares the median earnings between male and female workers in Champaign County.

Two worker populations are analyzed: all workers, including part-time and seasonal workers and those that were not employed for the full survey year; and full-time, year-round workers. The gender wage gap is included because it blends economics and equity, and illustrates that a major economic talking point on the national level is just as relevant at the local scale.

For all four populations (male full-time, year-round workers; female full-time, year-round workers; all male workers; and all female workers), the estimated median earnings were higher in 2023 than in 2005. The greatest increase in a population’s estimated median earnings between 2005 and 2023 was for female full-time, year-round workers; the smallest increase between 2005 and 2023 was for all female workers. In both categories (all and full-time, year-round), the estimated median annual earnings for male workers was consistently higher than for female workers.

The gender gap between the two estimates in 2023 was larger for full-time, year-round workers than all workers. For full-time, year-round workers, the difference was $11,863; for all workers, it was approaching $9,700.

The Associated Press wrote this article in October 2024 about how Census Bureau data shows that in 2023 in the United States, the gender wage gap between men and women working full-time widened year-over-year for the first time in 20 years.

Income data was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Median Earnings in the Past 12 Months (in 2020 Inflation-Adjusted Dollars) by Sex by Work Experience in the Past 12 Months for the Population 16 Years and Over with Earnings in the Past 12 Months.

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (16 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (20 October 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (21 September 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (7 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (7 June 2021).; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).

This paper investigates the relationship between firms' investment and advanced Internet technologies during the 1990s and county-level wage growth. It responds to the "payoff-puzzle" identified by Forman et al. (2012), namely that Internet investment disproportionally benefitted counties with high populations, high human capital, high income, and high-tech industries. Counties often display these characteristics in tandem, and reducing the sample to large counties renders the interaction effect insignificant. We therefore ask why large counties experience such differential returns to Internet investment, and discuss potential explanations, including non-quantifiable socio-economic characteristics and measurement error. The primary data used in this study were provided by Forman et al. as a replication dataset on the website of the American Economic Review: http://www.aeaweb.org/articles.php?doi=10.1257/aer.102.1.556. We augmented this source with wage and demographic information for the large counties identified in the Current Population Survey between 1995 and 2000. Please see the accompanying codebook and Stata do-file for a complete description of the variables contained in these data.

Experimental statistics of detailed industry wages from the Monthly Wages and Salaries Survey, with comparison industry output price data, from the article "Analysis of wage and price increases, UK: 2011 to 2023.

Forecast: Made-Up Textile Articles (Except Apparel) Wages and Salaries in Italy 2024 - 2028 Discover more data with ReportLinker!

Graph and download economic data for Employed full time: Wage and salary workers: Paper goods machine setters, operators, and tenders occupations: 16 years and over: Women (LEU0254734300A) from 2000 to 2024 about machines, operating, occupation, paper, females, full-time, salaries, workers, 16 years +, wages, goods, employment, and USA.

Feature Articles on Wage - Trend of Hourly Wage Statistics

Latvia Average Wages and Salaries: Gross: Mfg: Paper and Paper Products data was reported at 1,074.160 EUR in Jun 2018. This records an increase from the previous number of 1,059.690 EUR for May 2018. Latvia Average Wages and Salaries: Gross: Mfg: Paper and Paper Products data is updated monthly, averaging 721.075 EUR from Jan 2005 (Median) to Jun 2018, with 162 observations. The data reached an all-time high of 1,080.740 EUR in Apr 2018 and a record low of 330.620 EUR in Jan 2005. Latvia Average Wages and Salaries: Gross: Mfg: Paper and Paper Products data remains active status in CEIC and is reported by Central Statistical Bureau of Latvia. The data is categorized under Global Database’s Latvia – Table LV.G018: Average Wages and Salaries: Statistical Classification of Economic Activities Revision 2.

Ukraine Avg Monthly Wages: Industry: Year to Date: Mfg: Wood Articles, Paper and Printing data was reported at 7,742.030 UAH in Jun 2018. This records an increase from the previous number of 7,595.280 UAH for May 2018. Ukraine Avg Monthly Wages: Industry: Year to Date: Mfg: Wood Articles, Paper and Printing data is updated monthly, averaging 3,597.500 UAH from Jan 2013 (Median) to Jun 2018, with 66 observations. The data reached an all-time high of 7,742.030 UAH in Jun 2018 and a record low of 2,436.000 UAH in Jan 2013. Ukraine Avg Monthly Wages: Industry: Year to Date: Mfg: Wood Articles, Paper and Printing data remains active status in CEIC and is reported by State Statistics Service of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.G017: Average Monthly Wages: by Economic and Industrial Activities: ytd.

The paper assesses gender differences in pre-labor market specialization among the college-educated and highlights how those differences have evolved over time. Women choose majors with lower potential earnings (based on male wages associated with those majors) and subsequently sort into occupations with lower potential earnings given their major choice. These differences have narrowed over time, but recent cohorts of women still choose majors and occupations with lower potential earnings. Differences in undergraduate major choice explain a substantive portion of gender wage gaps for the college-educated above and beyond simply controlling for occupation. Collectively, our results highlight the importance of understanding gender differences in the mapping between college major and occupational sorting when studying the evolution of gender differences in labor market outcomes over time.

European Fur Articles Wages and Salaries by Country, 2023 Discover more data with ReportLinker!