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.

Wages in the United States increased to 31.24 USD/Hour in June from 31.15 USD/Hour in May of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This is not a Dataset in the normal sense. This location contains all that remains of the Historical Prices and Wages website: data contained in spreadsheets, PDF files with relevant information, and loose webpages in PHP format. For an overview of the files (provenance) we refer to:https://hdl.handle.net/10622/HXXTXL

PLEASE NOTE: It is advised to view this data in the Tree View. Please select the Tree option.

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 Price. 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 Price, the median income for all workers aged 15 years and older, regardless of work hours, was $37,070 for males and $18,602 for females.

These income figures highlight a substantial gender-based income gap in Price. Women, regardless of work hours, earn 50 cents for each dollar earned by men. This significant gender pay gap, approximately 50%, underscores concerning gender-based income inequality in the city of Price.

- Full-time workers, aged 15 years and older: In Price, among full-time, year-round workers aged 15 years and older, males earned a median income of $61,964, while females earned $39,082, 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 Price, 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 Price median household income by race. You can refer the same here

Analysis of ‘Evolution of nominal wages, consumer prices and real wages’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/17524277-bundesamt-fur-statistik-bfs on 08 January 2022.

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

This dataset presents the annual figures for the indexes and variations of nominal and real wages on the base 1939=100 by sex and the variation of consumer prices, since 1942. Descriptions of the variables in the CSV file are available in the Appendix.

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

Affordability ratios calculated by dividing house prices for existing dwellings, by gross annual residence-based earnings. Based on the median and lower quartiles of both house prices and earnings in England and Wales.

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.

United States US: Price to Income Ratio: sa data was reported at 130.892 2015=100 in 2024. This records an increase from the previous number of 129.315 2015=100 for 2023. United States US: Price to Income Ratio: sa data is updated yearly, averaging 113.539 2015=100 from Dec 1970 (Median) to 2024, with 55 observations. The data reached an all-time high of 132.929 2015=100 in 1979 and a record low of 90.287 2015=100 in 2012. United States US: Price to Income Ratio: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual. Nominal house prices divided by nominal disposable income per head. Net household disposable income is used. The population data come from the OECD national accounts database.

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.

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 Lake town. 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 Lake town, the median income for all workers aged 15 years and older, regardless of work hours, was $43,333 for males and $31,875 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 26% between the median incomes of males and females in Lake town. With women, regardless of work hours, earning 74 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of Lake town.

- Full-time workers, aged 15 years and older: In Lake town, among full-time, year-round workers aged 15 years and older, males earned a median income of $66,845, while females earned $44,276, leading to a 34% gender pay gap among full-time workers. This illustrates that women earn 66 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 lower gender pay gap percentage. This indicates that Lake town offers better opportunities for women in non-full-time positions.

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

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Price. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Price. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Price, householders within the 25 to 44 years age group have the highest median household income at $59,052, followed by those in the 45 to 64 years age group with an income of $51,968. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $30,972. Notably, householders within the under 25 years age group, had the lowest median household income at $27,850.

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.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 Price median household income by age. You can refer the same here

Japan JP: Standardised Price-Income Ratio: sa data was reported at 87.536 Ratio in 2024. This records a decrease from the previous number of 89.289 Ratio for 2023. Japan JP: Standardised Price-Income Ratio: sa data is updated yearly, averaging 113.262 Ratio from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 163.202 Ratio in 1973 and a record low of 73.471 Ratio in 2009. Japan JP: Standardised Price-Income Ratio: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Japan – Table JP.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual. Nominal house prices divided by nominal disposable income per head. Net household disposable income is used. The population data come from the OECD national accounts database. The long-term average is calculated over the whole period available when the indicator begins after 1980 or after 1980 if the indicator is longer. This value is used as a reference value. The ratio is calculated by dividing the indicator source on this long-term average, and indexed to a reference value equal to 100.

United States US: Wages Index: Manufacturing data was reported at 109.822 2010=100 in 2016. This records an increase from the previous number of 107.005 2010=100 for 2015. United States US: Wages Index: Manufacturing data is updated yearly, averaging 44.941 2010=100 from Dec 1948 (Median) to 2016, with 69 observations. The data reached an all-time high of 109.822 2010=100 in 2016 and a record low of 6.468 2010=100 in 1948. United States US: Wages Index: Manufacturing data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United States – Table US.IMF.IFS: Wages, Labour Cost and Employment Index: Annual.

No description is available. Visit https://dataone.org/datasets/sha256%3Ace2e1f6906828c07bcb9cd8bb89d03525efeadc5353864829044e587fa012f16 for complete metadata about this dataset.

Expenditure on Gross and Net National Income at Constant Market Prices Data Resources (4) CSV Expenditure on Gross and Net National Income at Constant... Details Download JSON-STAT Expenditure on Gross and Net National Income at Constant... Preview Download PX Expenditure on Gross and Net National Income at Constant... Details Download XLSX Expenditure on Gross and Net National Income at Constant...

Argentina AR: Wages Index data was reported at 379.409 2010=100 in Oct 2015. This records an increase from the previous number of 374.839 2010=100 for Sep 2015. Argentina AR: Wages Index data is updated monthly, averaging 74.034 2010=100 from Oct 2001 (Median) to Oct 2015, with 169 observations. The data reached an all-time high of 379.409 2010=100 in Oct 2015 and a record low of 26.475 2010=100 in Apr 2002. Argentina AR: Wages Index data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Argentina – Table AR.IMF.IFS: Wages, Labour Cost and Employment Index.

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

Data includes aggregated North American Industry Classification System (NAICS) industries for both goods-producing and service-producing sectors. Wages include: average hourly wage rate, average weekly wage rate, median hourly wage rate and median weekly wage rate.

This dataset comes from INSEE’s Macro-Economic Data Bank. The BDM is the main database of series and indices on all economic and social fields. It makes available all the information necessary for the economic diagnosis, and more generally for the analysis of fluctuations in economic activity, at global and sectoral levels, in a harmonised presentation, for a set of series from multiple sources.

Salaries:

Annual salaries Quarterly wage indices in the private sector SMIC — Social contribution rates — Public Service Indices

Cost of labour:

Index of hourly labour costs Index of labour costs in industry, construction and the tertiary sector

This dataset computes the Benefit Cost Rate and Average Tax Rate based on total wages. UI benefits and contributions are divided by total wages in order to control for employment and wage growth. For example, the highest benefit payout was $772 million in 2009. However, 2009 was the third highest payout when controlled for wage growth. Both 1982 and 1983 had higher Benefit Cost Rates. The highest Benefit Cost Rate was 2.63% in 1982. The highest Average Tax Rate based on total wages was 1.89% in 1985. The lowest Benefit Cost Rate was 0.53% in 1998. The lowest Average Tax Rate based on total wages was 0.49% in 1988. Data excludes reimbursable employers. (Time period: 1980-2018).