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The graph presents the median monthly salary in the United States from 2000 to 2024. The x-axis represents the years, labeled from '00 to '24*, while the y-axis shows the salary amounts in U.S. dollars per month. Throughout this twenty-four-year period, the median monthly salary consistently increased from $2,500 in 2000 to $5,036 in 2024. The data highlights a steady upward trend, with annual salaries rising each year without any declines. Notably, the salary grew by approximately $200 each year from 2000 to 2019, surged to $4,269 in 2020, and continued to climb each subsequent year, reaching $5,000 by 2024. This consistent growth reflects economic advancements and potential increases in workforce compensation over the decade. The information is depicted in a line graph format, effectively illustrating the continuous rise in median monthly salaries across the specified years.

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.

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In 2023, the average annual real wages in the United States amounted to 80,115 U.S. dollars. This shows the average annual wages in the United States from 2000 to 2023 in constant 2023 PPP-adjusted U.S. dollars.

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Average Monthly Nominal Wages: Ural Federal District (UF) data was reported at 91,690.600 RUB in 2024. This records an increase from the previous number of 77,888.500 RUB for 2023. Average Monthly Nominal Wages: Ural Federal District (UF) data is updated yearly, averaging 22,269.000 RUB from Dec 1994 (Median) to 2024, with 31 observations. The data reached an all-time high of 91,690.600 RUB in 2024 and a record low of 298.600 RUB in 1994. Average Monthly Nominal Wages: Ural Federal District (UF) data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GC008: Average Monthly Wages: by Region.

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Explore the progression of average salaries for graduates in New Mexico State University 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 New Mexico State University relative to other fields. This data is essential for students assessing the return on investment of their education in New Mexico State University, providing a clear picture of financial prospects post-graduation.

Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2023. This information will be published annually each year.

In 2023, the average wage and salary per full-time equivalent employee in the mining industry in the United States was at 126,707 U.S. dollars. The highest wage and salary per FTE was found in the information industry, at 164,400 U.S. dollars.

Average Wage: Urban Non-private: ytd: Wholesale & Retail Trade data was reported at 124,362.000 RMB in Dec 2023. This records an increase from the previous number of 115,408.000 RMB for Dec 2022. Average Wage: Urban Non-private: ytd: Wholesale & Retail Trade data is updated quarterly, averaging 32,375.000 RMB from Dec 2007 (Median) to Dec 2023, with 30 observations. The data reached an all-time high of 124,362.000 RMB in Dec 2023 and a record low of 7,488.000 RMB in Mar 2010. Average Wage: Urban Non-private: ytd: Wholesale & Retail Trade data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GC: Average Wage: by Industry: Urban Non-private. [COVID-19-IMPACT]

Explore the progression of average salaries for graduates in International Economic Law 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 International Economic Law relative to other fields. This data is essential for students assessing the return on investment of their education in International Economic Law, providing a clear picture of financial prospects post-graduation.

Average Monthly Nominal Wages: VR: Penza Region data was reported at 57,467.500 RUB in 2024. This records an increase from the previous number of 48,166.800 RUB for 2023. Average Monthly Nominal Wages: VR: Penza Region data is updated yearly, averaging 11,723.100 RUB from Dec 1992 (Median) to 2024, with 33 observations. The data reached an all-time high of 57,467.500 RUB in 2024 and a record low of 3.600 RUB in 1992. Average Monthly Nominal Wages: VR: Penza Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GC008: Average Monthly Wages: by Region.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Oxbow. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Oxbow, the median income for all workers aged 15 years and older, regardless of work hours, was $111,389 for males and $46,875 for females.

These income figures highlight a substantial gender-based income gap in Oxbow. Women, regardless of work hours, earn 42 cents for each dollar earned by men. This significant gender pay gap, approximately 58%, underscores concerning gender-based income inequality in the city of Oxbow.

- Full-time workers, aged 15 years and older: In Oxbow, among full-time, year-round workers aged 15 years and older, males earned a median income of $122,500, while females earned $77,500, leading to a 37% gender pay gap among full-time workers. This illustrates that women earn 63 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Oxbow, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Oxbow median household income by race. You can refer the same here

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