As of October 2024, there were 133.89 million full-time employees in the United States. This is a slight decrease from the previous month, when there were 134.15 million full-time employees. The impact COVID-19 on employment In December 2019, the COVID-19 virus began its spread across the globe. Since being classified as a pandemic, the virus caused a global health crisis that has taken the lives of millions of people worldwide. The COVID-19 pandemic changed many facets of society, most significantly, the economy. In the first years, many businesses across all industries were forced to shut down, with large numbers of employees being laid off. The economy continued its recovery in 2022 with the nationwide unemployment rate returning to a more normal 3.4 percent as of April 2023. Unemployment benefits Because so many people in the United States lost their jobs, record numbers of individuals applied for unemployment insurance for the first time. As an early response to this nation-wide upheaval, the government issued relief checks and extended the benefits paid by unemployment insurance. In May 2020, the amount of unemployment insurance benefits paid rose to 23.73 billion U.S. dollars. As of December 2022, this value had declined to 2.24 billion U.S. dollars.

The dataset contains data relating to the ULs present in the Municipality of Milan and the companies they belong to, regardless of the location of the company. The local unit is the physical place where the company carries out its activity, therefore it can coincide with the company or with a part of it. (Some examples: agency, bar, warehouse, shop, laboratory, warehouse, professional studio, office, clinic, hotel...). The ULs present in the dataset are classified by Ateco 2007 UL code (2 and 5 digits). For each item of the Ateco classification, the number of enterprises, the number of ULs, the number of employees of the enterprises and of the local units are reported. NOTE 1: Data on employees are calculated as work units. In this regard, it should be remembered that the full-time work units (AWU) can refer to the work performed in the year by a full-time employee, or to the equivalent amount of work performed by part-time workers or by workers who carry out a double job. (Eg two part-time workers at 50% equal 1 work unit). The work unit is therefore not linked to the individual natural person, but conventionally refers to a standard full-time work quantity defined by national contracts. This explains the presence of values ​​with decimal places. The path to use to find the original dataset on sisi.comune.milano.it is: sisi.comune.milano.it - ​​Employment and Business - Labor Forces - Businesses and Institutions - Statistical Archive of Active Companies (ASIA)

In 2024, almost 28 million people were employed on a part-time basis in the United States. This is a significant increase from 1990 when there were only 20.13 million part-time employees in the U.S.

Australia Employment: Full Time: Not Married: 50-54 Years data was reported at 272.739 Person th in Feb 2025. This records an increase from the previous number of 262.074 Person th for Jan 2025. Australia Employment: Full Time: Not Married: 50-54 Years data is updated monthly, averaging 144.673 Person th from Feb 1978 (Median) to Feb 2025, with 565 observations. The data reached an all-time high of 289.204 Person th in Jun 2023 and a record low of 57.688 Person th in Sep 1984. Australia Employment: Full Time: Not Married: 50-54 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G015: Employment: by Age, Sex and Status: Full Time.

Australia Employment: Part Time: Not Married: 50-54 Years data was reported at 81.564 Person th in Mar 2025. This records an increase from the previous number of 79.903 Person th for Feb 2025. Australia Employment: Part Time: Not Married: 50-54 Years data is updated monthly, averaging 39.195 Person th from Feb 1978 (Median) to Mar 2025, with 566 observations. The data reached an all-time high of 91.260 Person th in Oct 2022 and a record low of 7.062 Person th in Sep 1978. Australia Employment: Part Time: Not Married: 50-54 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G016: Employment: by Age, Sex and Status: Part Time.

Australia Employment: Part Time: Married: 50-54 Years data was reported at 239.720 Person th in Mar 2025. This records an increase from the previous number of 228.353 Person th for Feb 2025. Australia Employment: Part Time: Married: 50-54 Years data is updated monthly, averaging 174.714 Person th from Feb 1978 (Median) to Mar 2025, with 566 observations. The data reached an all-time high of 256.137 Person th in Jan 2024 and a record low of 54.378 Person th in Jan 1979. Australia Employment: Part Time: Married: 50-54 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G016: Employment: by Age, Sex and Status: Part Time.

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 White Plains. 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 White Plains, while the Census reported a median income of $15,000 for all female workers aged 15 years and older, data for males in the same category was unavailable due to an insufficient number of sample observations.

Because income data for males was not available from the Census Bureau, conducting a comprehensive analysis of gender-based pay disparity in the city of White Plains was not possible.

- Full-time workers, aged 15 years and older: In White Plains, among full-time, year-round workers aged 15 years and older, males earned a median income of $75,417, while females earned $37,500, 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.

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

In 2024, about 133 million people were employed in the United States on a full-time basis, returning to pre-pandemic levels. Employment in the U.S. The number of full-time employees in the United States has increased by more than 30 million people since 1991. In 1990, there were 98.67 million full-time employees which had increased to 134.06 million employees in 2023. After the recession, the number of full-time employees dropped and part-time employment increased significantly. There were about 28.1 million part-time employees in the country as of January 2024. Full-time employment usually is associated with certain benefits that are otherwise not offered to part-time employees, such as health insurance and annual leave. In the United States, a full time worker us usually regard as an individual who works more than 30 hours a week. Salaries nationwide Salary in the United States can vary greatly between ethnicities and gender. The median weekly earnings of a full-time salary worker, was 1,310 U.S. dollars for the Asian population, but only 794 U.S. dollars for the Black or African American population in 2020. In the same year, the median hourly wage for female salary workers 15.22 U.S. dollars, while males earned an hourly wage of 17.75 U.S. dollars. Based on a constant value, the wage among salary workers has fluctuated since 1979, where employees earned a median of 14.80 U.S. dollars, compared to 16.36 U.S. dollars in 2020. The minimum wage in the United States was established at 7.25 U.S. dollars per hour as of 2009.

Part Time Employment in Iceland increased to 50 Thousand in the first quarter of 2025 from 47.50 Thousand in the fourth quarter of 2024. This dataset provides - Iceland Part Time Employment- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Australia Employment: Full Time: Married: 50-54 Years data was reported at 794.261 Person th in Feb 2025. This records an increase from the previous number of 789.919 Person th for Jan 2025. Australia Employment: Full Time: Married: 50-54 Years data is updated monthly, averaging 579.319 Person th from Feb 1978 (Median) to Feb 2025, with 565 observations. The data reached an all-time high of 812.295 Person th in Feb 2024 and a record low of 310.267 Person th in Jan 1986. Australia Employment: Full Time: Married: 50-54 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G015: Employment: by Age, Sex and Status: Full Time.

Australia Employment: Full Time: Male: 50-54 Years data was reported at 621.906 Person th in Mar 2025. This records a decrease from the previous number of 628.712 Person th for Feb 2025. Australia Employment: Full Time: Male: 50-54 Years data is updated monthly, averaging 480.728 Person th from Feb 1978 (Median) to Mar 2025, with 566 observations. The data reached an all-time high of 637.703 Person th in Nov 2024 and a record low of 292.005 Person th in Jan 1986. Australia Employment: Full Time: Male: 50-54 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G015: Employment: by Age, Sex and Status: Full Time.

Brazil Number of Employee: 50 to 99 Persons: AA: Production Permanent Crops data was reported at 6,463.000 Person in 2017. This records an increase from the previous number of 5,924.000 Person for 2016. Brazil Number of Employee: 50 to 99 Persons: AA: Production Permanent Crops data is updated yearly, averaging 6,181.500 Person from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 6,756.000 Person in 2008 and a record low of 5,801.000 Person in 2011. Brazil Number of Employee: 50 to 99 Persons: AA: Production Permanent Crops data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Agriculture Sector – Table BR.RIL003: Enterprise Financial Data: Number of Employee.

Spain Number of Companies: 50 to 99 Employees data was reported at 13,116.000 Unit in 2017. This records an increase from the previous number of 12,540.000 Unit for 2016. Spain Number of Companies: 50 to 99 Employees data is updated yearly, averaging 13,197.500 Unit from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 16,242.000 Unit in 2007 and a record low of 11,223.000 Unit in 2013. Spain Number of Companies: 50 to 99 Employees data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.O013: Number of Companies: by Legal Form and Employees.

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 Holly Hill. 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 Holly Hill, while the Census reported a median income of $17,566 for all female workers aged 15 years and older, data for males in the same category was unavailable due to an insufficient number of sample observations.

Because income data for males was not available from the Census Bureau, conducting a comprehensive analysis of gender-based pay disparity in the town of Holly Hill was not possible.

- Full-time workers, aged 15 years and older: In Holly Hill, among full-time, year-round workers aged 15 years and older, males earned a median income of $70,114, while females earned $34,813, 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.

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

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Broeck Pointe. The dataset can be utilized to gain insights into gender-based income distribution within the Broeck Pointe population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Broeck Pointe, among individuals aged 15 years and older with income, there were 81 men and 88 women in the workforce. Among them, 50 men were engaged in full-time, year-round employment, while 50 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 8% fell within the income range of under $24,999, while 12% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 28% of men in full-time roles earned incomes exceeding $100,000, while 30% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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

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 Melrose. 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 Melrose, while the Census reported a median income of $31,439 for all male workers aged 15 years and older, data for females in the same category was unavailable due to an insufficient number of sample observations.

Given the absence of income data for females from the Census Bureau, conducting a thorough analysis of gender-based pay disparity in the village of Melrose was not possible.

- Full-time workers, aged 15 years and older: In Melrose, among full-time, year-round workers aged 15 years and older, males earned a median income of $85,357, while females earned $42,778, 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.

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

In 2024, The New York Times Company had 5,900 full-time equivalent employees, including over 2,800 in the company's journalism operations. After a sharp drop in employee numbers between 2012 and 2013 due to the company’s sale of New England Media Group, there were just 3,529 people working for The NYT Company, but the figure has grown more or less consistently year-on-year ever since. The NYT Company has various media properties, NYTimes.com, as well as The New York Times Magazine, Book Review, Style Magazine, and International Edition, and most notably, namesake newspaper The New York Times, which is arguably the company’s most successful product. The New York Times employees: diversity The New York Times performs well as far as gender equality is concerned. Data on employee gender distribution at The New York Times shows that the share of men and women working for the company tends to hover around 50 percent, outperforming competing newspaper The Washington Post in this regard. The breakdown of employees by gender at The Washington Post reveals that the share of women working for the newspaper increased by just three percent in five years, and male employees still account for close to 60 percent of the total workforce. By contrast, The Washington Post reported that 20 percent of its workforce in 2020 was Black or African American, whereas at The NYT the figure was just nine percent. The distribution of employees at The New York Times by ethnicity revealed that over 60 percent of the company’s workforce was White, and the only other ethnic group with representation of more than ten percent were Asian employees, who made up 14 percent of NYT employees in 2020.

Meta Platforms had ****** full-time employees as of December 2024, down from ****** people in 2023. As of December 2023, more than ******* employees at tech companies worldwide were laid off throughout the year across more than 1,000 companies. Facebook: how it all beganIn 2003, a sophomore at named Mark Zuckerberg hacked into protected areas of the university's computer network in order to find photos of other students. He then would pair two of them next to each other on a program called “Facemash” and ask users to choose the more attractive person. At the beginning of 2004, Zuckerberg launched “The Facebook,” a social network dedicated to Harvard students, which later grew to encompass Columbia, Yale and Stanford. The popularity of this new service sky-rocketed and in mid-2004, Zuckerberg interrupted his studies and moved his operation to Palo Alto, California, in the heart of Silicon Valley. By 2006, Facebook was open to the general public. In 2020, the company reported almost ** billion U.S. dollars in revenue and a net income of ***** billion US dollars. It is also the most popular social network in the world, with *** billion monthly active users as of December 2020. Facebook employee diversity criticismLike many other tech companies, Facebook has been criticized for having a diversity problem. As of June 2020, tech positions, as well as management roles in U.S. offices were overwhelmingly occupied by men. Furthermore, almost ** percent of Facebook employees in the U.S. are White and only *** percent are African-American, which has sparked concern regarding representation and equal opportunities. Around **** percent of senior level positions are occupied by White employees and only *** percent by Hispanic-Americans.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Dewey Beach. The dataset can be utilized to gain insights into gender-based income distribution within the Dewey Beach population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Dewey Beach, among individuals aged 15 years and older with income, there were 160 men and 141 women in the workforce. Among them, 50 men were engaged in full-time, year-round employment, while 43 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 2% fell within the income range of under $24,999, while 13.95% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 50% of men in full-time roles earned incomes exceeding $100,000, while 48.84% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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

In 2024, about 58.51 million women were employed on a full-time basis in the United States. This is a slight decrease from the previous year when there were only 58.56 million full-time employed women in the U.S.