In 2024, the District of Columbia was the U.S. state with the ******* salary for accountants and auditors, with a mean annual wage of over ******* U.S. dollars. New York and New Jersey followed in the list of the states with the highest salaries for these professions.

In 2023, people employed in legal occupations in the state of the District of Columbia earned a mean annual wage of over 213,000 U.S. dollars, the highest in the United States. Following in the ranking of the U.S. states with highest salaries for legal services workers were New York, and then Florida.

Wages in the United States increased 4.72 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Wages and Salaries Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The District of Columbia was the U.S. state with the highest annual wages for librarians as of May 2023. Librarians in this state had an annual mean salary of ****** U.S. dollars. Washington came second in the ranking, with an annual mean wage of librarians amounting to ****** U.S. dollars.

Luxembourg had the highest average monthly salary of employees in the world in 2024 in terms of purchasing power parities (PPP), which takes the average cost of living in a country into account. Belgium followed in second, with the Netherlands in third.

Key information about United States Monthly Earnings

• United States Monthly Earnings stood at 4,901 USD in Feb 2025, compared with the previous figure of 4,887 USD in Jan 2025
• US Monthly Earnings data is updated monthly, available from Mar 2006 to Feb 2025, with an average number of 3,469 USD
• The data reached the an all-time high of 4,901 USD in Feb 2025 and a record low of 2,743 USD in Mar 2006

• In the latest reports, US Population reached 341 million people in Dec 2024
• Unemployment Rate of US increased to 4 % in Feb 2025
• The country's Labour Force Participation Rate remained the same rate at 62 % in Feb 2025

Graph and download economic data for Median Personal Income in the United States (MEPAINUSA646N) from 1974 to 2023 about personal income, personal, median, income, and USA.

Graph and download economic data for Wage and Salary Workers Paid at Prevailing Federal Minimum Wage: 16 Years and Over: Less than 1 Year of High School (L1HSC10) from 2002 to 2023 about less than 1 year, paid, secondary schooling, secondary, minimum wage, salaries, workers, 16 years +, education, federal, wages, and USA.

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.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: High School graduates, no college: 25 years and over (LEU0252917300A) from 1979 to 2024 about no college, second quartile, secondary schooling, secondary, full-time, 25 years +, salaries, workers, earnings, education, wages, median, employment, and USA.

Graph and download economic data for Income Before Taxes: Wages and Salaries by Deciles of Income Before Taxes: Highest 10 Percent (91st to 100th Percentile) (CXU900000LB1511M) from 2014 to 2023 about percentile, salaries, tax, wages, income, and USA.

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 Q1 2025 about full-time, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

Graph and download economic data for Employed full time: Wage and salary workers: Bachelor's degree and higher: 25 years and over: Men (LEU0252922200A) from 2000 to 2024 about full-time, males, 25 years +, tertiary schooling, salaries, workers, education, wages, employment, and USA.

Graph and download economic data for Employed full time: Wage and salary workers: High School graduates, no college: 25 years and over: White: Men (LEU0252930000A) from 2000 to 2024 about no college, secondary schooling, secondary, full-time, males, 25 years +, salaries, workers, white, education, wages, employment, and USA.

In 2023, the average wage in private industry in Alabama was at 58,993 U.S. dollars. This was nearly half of the annual average wages per employee in the District of Columbia, at 112,048 U.S. dollars. That year, the District of Columbia, Massachusetts, and New York were the top ranked states in terms of average wages per employee.

Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to Jun 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.

Average earnings, by age group and highest level of education, from the 2016 Census of Population.

Every year between 2013 and 2021, employees from the combined Pakistani and Bangladeshi ethnic group had the lowest average hourly pay out of all ethnic groups.

Wages in Manufacturing in the United States remained unchanged at 28.87 USD/Hour in June. 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 Employed full time: Earnings of foreign born as percent of native born: Wage and salary workers: Less than a High School diploma: 25 years and over (LEU0257371900A) from 2005 to 2024 about native born, foreign, secondary schooling, secondary, full-time, 25 years +, salaries, workers, earnings, education, wages, percent, employment, and USA.