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.

In 2024, men in the United Kingdom had a higher average hourly full-time salary than women across most age groups, except for 16 to 17 when women had slightly higher earnings, and among those aged between 18 and 21, earnings were almost the same.

Graph and download economic data for Laborers' Average Hourly Rate of Wages, Weighted for United States (A08139USA052NNBR) from 1860 to 1891 about hours, wages, labor, rate, and USA.

Average Hourly Earnings in Ireland increased to 30.21 EUR in December of 2024 over the previous month. This dataset provides - Ireland Average Hourly Earnings- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Wages in Manufacturing in the United States increased to 28.64 USD/Hour in February from 28.54 USD/Hour in January of 2025. This dataset provides - United States Average Hourly Wages in Manufacturing - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CEU0500000003) from Mar 2006 to Feb 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.

In 2022, the average hourly wage in the Netherlands was roughly 25.29 euros. Hourly wages varied between some 4.8 euros per hour (for those younger than 15) to over 30 euros hourly (for those 50 to 54 years old).

 Highest hourly wages in the mining and quarrying industry  

Wages were highest in the mining and quarrying sector, at over 38 euros per hour. By comparison, employees in the accommodation and food service industry earned just under 14.5 euros per hour on average. Those working in the renting and other business support sector fared only slightly better, with an average hourly wage of 17.15 euros.  

The larger the company, the higher the pay  

Average hourly pay wa s highest in large companies employing over 100 people. In 2020, employees working here on average earned 25 euros per hour, whereas those in companies with ten to 100 employees received roughly three less per hour. Employees in small organizations with less than ten employees on average earned 23.31 an hour.

Graph and download economic data for Average Hourly Earnings of All Employees, Manufacturing (CES3000000003) from Mar 2006 to Feb 2025 about earnings, establishment survey, hours, wages, manufacturing, employment, and USA.

In October 2024, the average hourly earnings for all employees on private nonfarm payrolls in the United States stood at 35.46 U.S. dollars. The data have been seasonally adjusted. Employed persons are employees on nonfarm payrolls and consist of: persons who did any work for pay or profit during the survey reference week; persons who did at least 15 hours of unpaid work in a family-operated enterprise; and persons who were temporarily absent from their regular jobs because of illness, vacation, bad weather, industrial dispute, or various personal reasons.

In November 2024, the average hourly earnings of all employees in the United States was at 11.25 U.S. dollars. The data have been seasonally adjusted. The deflators used for constant-dollar earnings shown here come from the Consumer Price Indexes Programs. The Consumer Price Index for All Urban Employees (CPI-U) is used to deflate the data for all employees. A comparison of the rate of wage growth versus the monthly inflation since 2020 rate can be accessed here. Real wages are wages that have been adjusted for inflation.

Wages in Manufacturing in Mexico decreased to 3.80 USD/Hour in January from 5.10 USD/Hour in December of 2024. This dataset provides - Mexico Average Wages in Manufacturing Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset provides values for AVERAGE HOURLY EARNINGS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

VITAL SIGNS INDICATOR Jobs by Wage Level (EQ1)

FULL MEASURE NAME Distribution of jobs by low-, middle-, and high-wage occupations

LAST UPDATED January 2019

DESCRIPTION Jobs by wage level refers to the distribution of jobs by low-, middle- and high-wage occupations. In the San Francisco Bay Area, low-wage occupations have a median hourly wage of less than 80% of the regional median wage; median wages for middle-wage occupations range from 80% to 120% of the regional median wage, and high-wage occupations have a median hourly wage above 120% of the regional median wage.

DATA SOURCE California Employment Development Department OES (2001-2017) http://www.labormarketinfo.edd.ca.gov/data/oes-employment-and-wages.html

American Community Survey (2001-2017) http://api.census.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Jobs are determined to be low-, middle-, or high-wage based on the median hourly wage of their occupational classification in the most recent year. Low-wage jobs are those that pay below 80% of the regional median wage. Middle-wage jobs are those that pay between 80% and 120% of the regional median wage. High-wage jobs are those that pay above 120% of the regional median wage. Regional median hourly wages are estimated from the American Community Survey and are published on the Vital Signs Income indicator page. For the national context analysis, occupation wage classifications are unique to each metro area. A low-wage job in New York, for instance, may be a middle-wage job in Miami. For the Bay Area in 2017, the median hourly wage for low-wage occupations was less than $20.86 per hour. For middle-wage jobs, the median ranged from $20.86 to $31.30 per hour; and for high-wage jobs, the median wage was above $31.30 per hour.

Occupational employment and wage information comes from the Occupational Employment Statistics (OES) program. Regional and subregional data is published by the California Employment Development Department. Metro data is published by the Bureau of Labor Statistics. The OES program collects data on wage and salary workers in nonfarm establishments to produce employment and wage estimates for some 800 occupations. Data from non-incorporated self-employed persons are not collected, and are not included in these estimates. Wage estimates represent a three-year rolling average.

Due to changes in reporting during the analysis period, subregion data from the EDD OES have been aggregated to produce geographies that can be compared over time. West Bay is San Mateo, San Francisco, and Marin counties. North Bay is Sonoma, Solano and Napa counties. East Bay is Alameda and Contra Costa counties. South Bay is Santa Clara County from 2001-2004 and Santa Clara and San Benito counties from 2005-2017.

Due to changes in occupation classifications during the analysis period, all occupations have been reassigned to 2010 SOC codes. For pre-2009 reporting years, all employment in occupations that were split into two or more 2010 SOC occupations are assigned to the first 2010 SOC occupation listed in the crosswalk table provided by the Census Bureau. This method assumes these occupations always fall in the same wage category, and sensitivity analysis of this reassignment method shows this is true in most cases.

In order to use OES data for time series analysis, several steps were taken to handle missing wage or employment data. For some occupations, such as airline pilots and flight attendants, no wage information was provided and these were removed from the analysis. Other occupations did not record a median hourly wage (mostly due to irregular work hours) but did record an annual average wage. Nearly all these occupations were in education (i.e. teachers). In this case, a 2080 hour-work year was assumed and [annual average wage/2080] was used as a proxy for median income. Most of these occupations were classified as high-wage, thus dispelling concern of underestimating a median wage for a teaching occupation that requires less than 2080 hours of work a year (equivalent to 12 months fulltime). Finally, the OES has missing employment data for occupations across the time series. To make the employment data comparable between years, gaps in employment data for occupations are ‘filled-in’ using linear interpolation if there are at least two years of employment data found in OES. Occupations with less than two years of employment data were dropped from the analysis. Over 80% of interpolated cells represent missing employment data for just one year in the time series. While this interpolating technique may impact year-over-year comparisons, the long-term trends represented in the analysis generally are accurate.

Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

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

This statistic shows the average hourly wage in occupations that required a certain skill set in the United States from 1990 to 2015, by required skill. In 2015, U.S. Americans working in occupations that required a high level of analytical skills earned 27 U.S. dollars per hour on average.

This statistic displays the average hourly wage in the Netherlands in 2022, by working hours, in euros. As of 2022, the average hourly wage in the Netherlands increased with weekly working hours. Employees who worked between one and 12 hours per week earned the lowest hourly wage, at roughly 15.12 euros on average, whereas employees working 35 hours or more received the highest hourly wage of approximately 27.26 euros per hour.

Average Hourly Earnings in the United States increased 0.30 percent in February of 2025 over the previous month. This dataset provides the latest reported value for - United States Average Hourly Earnings - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Wage and Salary Workers Paid Hourly Rates: 16 Years and Over: Bachelor's Degree (BADEC5) from 2002 to 2023 about paid, tertiary schooling, salaries, workers, hours, 16 years +, education, wages, rate, and USA.

Minimum Wages in Japan increased to 1054 JPY/Hour in 2024 from 1002 JPY/Hour in 2023. This dataset provides - Japan Minimum Wages- actual values, historical data, forecast, chart, statistics, economic calendar and news.