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 Guy. 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 Guy, the median income for all workers aged 15 years and older, regardless of work hours, was $31,875 for males and $27,969 for females.

Based on these incomes, we observe a gender gap percentage of approximately 12%, indicating a significant disparity between the median incomes of males and females in Guy. Women, regardless of work hours, still earn 88 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

- Full-time workers, aged 15 years and older: In Guy, among full-time, year-round workers aged 15 years and older, males earned a median income of $60,208, while females earned $53,182, resulting in a 12% gender pay gap among full-time workers. This illustrates that women earn 88 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Guy.

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

In 2024, average savings held by working two or more person households in Japan amounted to around **** million Japanese yen, reaching a decade high. Average savings were almost ***** as high as the average annual income of working multi-person households.

Graph and download economic data for Average Annual Hours Worked per Employed Person in Germany (DISCONTINUED) (DEUAHWEP) from 1970 to 2011 about Germany, hours, and employment.

Russia Employment: Full Time: Period Average data was reported at 71,746.200 Person th in 2017. This records an increase from the previous number of 68,430.000 Person th for 2016. Russia Employment: Full Time: Period Average data is updated yearly, averaging 67,577.000 Person th from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 73,848.000 Person th in 1991 and a record low of 63,683.000 Person th in 1998. Russia Employment: Full Time: Period Average data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GB021: Employment: by Activity: Annual. Year-average employment is calculated on the basis of people's main job. Data are provided by enterprises, sample population labour survey, government authorities. Working foreign citizens (with permanent and temporary stay) are included in year-average employment Данные о среднегодовой численности занятых в экономике формируются по основной работе гражданского населения один раз в год при составлении баланса трудовых ресурсов на основе сведений организаций, материалов выборочного обследования населения по проблемам занятости, данных органов исполнительной власти. В среднегодовую численность занятых включаются работающие иностранные граждане, как постоянно проживающие, так и временно находящиеся на территории Российской Федерации

Graph and download economic data for Average Annual Hours Worked per Employed Person in Ireland (DISCONTINUED) (IRLAHWEP) from 1983 to 2011 about Ireland, hours, and employment.

In October 2024, the average working week for all employees on private nonfarm payrolls in the United States was at 34.3 hours. This includes part-time workers. The data have been seasonally adjusted. Employed persons consist of all employees on private nonfarm payrolls. U.S. working week As in most industrialized countries, the standard work week in the United States begins on Monday and ends on Friday. According to data released by the Bureau of Labor Statistics, the average workweek for all employees (including part-time) working in private industries in the United States amounted to about 34.5 hours in 2022. Over the course of one month, the U.S. workforce works about 3.9 billion hours in total.The average work week can differ heavily from industry to industry. An employee in the mining and logging industry worked about 45.5 hours a week in April 2023, while employees in private education and health services worked for an average of 33.4 hours per week.

In 2024, the average liabilities of working households comprised of two or more persons in Japan amounted to around 10.2 million Japanese yen, reaching a decade high. Debt per working household increased by 1.5 percent compared to the previous year.

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 Guys. 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 Guys, the median income for all workers aged 15 years and older, regardless of work hours, was $37,333 for males and $23,750 for females.

These income figures highlight a substantial gender-based income gap in Guys. Women, regardless of work hours, earn 64 cents for each dollar earned by men. This significant gender pay gap, approximately 36%, underscores concerning gender-based income inequality in the town of Guys.

- Full-time workers, aged 15 years and older: In Guys, among full-time, year-round workers aged 15 years and older, males earned a median income of $46,875, while females earned $31,563, leading to a 33% gender pay gap among full-time workers. This illustrates that women earn 67 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 Guys, 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 Guys median household income by race. You can refer the same here

The average amount of annual hours worked per person in France was approximately 1,511 in 2020. This number reached a low of 1,403 in 2020, which was the lowest level since 1972. The following year, in 2021, the amount of hours worked increased, reaching around 1,484 hours. However, since 1972, a general fall in the number of annual hours of work per person is observed.

In 2023, working households comprised of two or more persons in the Kanto region reported the highest average amount of liabilities in Japan, with around 11.6 million Japanese yen. The average amount of debt per working multi-person household rose to over 10 million yen.

As of 2024, the median amount of savings held by working multi-person households in Japan amounted to *** million Japanese yen. Both the median and the average amount of savings of working multi-person households reached a decade high.

Number of employees and wages per person in various manufacturing industries

Mexico Average Hours Worked per Person Employed: Index: Professional, Scientific and Technical Activities, Administrative and Support Service Activities data was reported at 97.190 2015=100 in 2023. This records a decrease from the previous number of 97.660 2015=100 for 2022. Mexico Average Hours Worked per Person Employed: Index: Professional, Scientific and Technical Activities, Administrative and Support Service Activities data is updated yearly, averaging 99.620 2015=100 from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 101.440 2015=100 in 2005 and a record low of 97.190 2015=100 in 2023. Mexico Average Hours Worked per Person Employed: Index: Professional, Scientific and Technical Activities, Administrative and Support Service Activities 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 Mexico – Table MX.OECD.PDB: Hours Worked: by Industry: OECD Member: Annual.

The labour productivity = GDP/ETO with GDP = Gross domestic product, chain-linked volumes reference year 2015 ETO = Total employment, all industries, in persons The GDP per person employed is intended to give an overall impression of the productivity of national economies expressed in relation to the European Union average. If the index of a country is higher than 100, this country's level of GDP per person employed is higher than the EU average and vice versa. Basic figures are expressed in PPS, i.e. a common currency that eliminates the differences in price levels between countries allowing meaningful volume comparisons of GDP between countries. Please note that persons employed does not distinguish between full-time and part-time employment. The input data are obtained through official transmissions of national accounts' country data in the ESA 2010 transmission programme. Data are expressed as percentage change comparing year Y with year Y-1 and as Index 2015.

In 2024, liabilities for the purchase of home and land held by working households consisting of two or more persons in Japan amounted to around *** million Japanese yen. Monthly and ******************* accounted for the smallest share of liabilities held by multi-person households.

This statistic represents the annual average number of MAN SE's employees from the fiscal year of 2008 to the fiscal year of 2017. Globally, MAN SE employed around 54,000 permanent and subcontracted employees in the fiscal year of 2017.

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 Man. 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 Man, the median income for all workers aged 15 years and older, regardless of work hours, was $51,548 for males and $25,208 for females.

These income figures highlight a substantial gender-based income gap in Man. Women, regardless of work hours, earn 49 cents for each dollar earned by men. This significant gender pay gap, approximately 51%, underscores concerning gender-based income inequality in the town of Man.

- Full-time workers, aged 15 years and older: In Man, among full-time, year-round workers aged 15 years and older, males earned a median income of $76,838, while females earned $38,036, leading to a 50% gender pay gap among full-time workers. This illustrates that women earn 50 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 Man, 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 Man median household income by race. You can refer the same here

Graph and download economic data for Average Annual Hours Worked per Employed Person in Singapore (DISCONTINUED) (SGPAHWEP) from 1976 to 2011 about Singapore, hours, and employment.

In 2023, the average monthly savings of working multi-person households in Japan amounted to around 493 thousand Japanese yen. The highest amount of monthly savings per household in the past decade was recorded in 2020.

Average basic income per employed person by occupation