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.

Graph and download economic data for Infra-Annual Labor Statistics: Working-Age Population Female: From 15 to 64 Years for United States (LFWA64FEUSQ647S) from Q1 1977 to Q2 2025 about working-age, 15 to 64 years, females, population, and USA.

Graph and download economic data for Infra-Annual Labor Statistics: Employment Rate Female: From 25 to 54 Years for United States (LREM25FEUSQ156S) from Q1 1977 to Q2 2025 about 25 to 54 years, employment-population ratio, females, population, employment, rate, and USA.

The statistic shows the distribution of the workforce across economic sectors in the United States from 2013 to 2023. In 2023, 1.57 percent of the workforce in the US was employed in agriculture, 19.34 percent in industry and 79.09 percent in services. See U.S. GDP per capita for more information. American workforce A significant majority of the American labor force is employed in the services sector, while the other sectors, industry and agriculture, account for less than 20 percent of the US economy. However, the United States is among the top exporters of agricultural goods – the total value of US agricultural exports has more than doubled since 2000. A severe plunge in the employment rate in the US since 1990 shows that the American economy is still in turmoil after the economic crisis of 2008. Unemployment is still significantly higher than it was before the crisis, and most of those unemployed and looking for a job are younger than 25; youth unemployment is a severe problem for the United States, many college or university graduates struggle to find a job right away. Still, the number of employees in the US since 1990 has been increasing slowly, with a slight setback during and after the recession. Both the number of full-time and of part-time workers have increased during the same period. When looking at the distribution of jobs among men and women, both project the general downward trend. A comparison of the employment rate of men in the US since 1990 and the employment rate of women since 1990 shows that more men tend to be employed than women.

Graph and download economic data for Labor Force Participation Rate - Women (LNU01300002) from Jan 1948 to Sep 2025 about females, participation, civilian, labor force, 16 years +, labor, household survey, rate, and USA.

In 2023, about ******* women working part-time were paid at or below the prevailing federal minimum wage. In comparison, around ******* men working part-time were also receiving earnings at or below the federal minimum wage.

Actual value and historical data chart for United States Self Employed Female Percent Of Females Employed

This statistic shows the share of full-time employed women working in professional or managerial occupations in the United States in 2014, by race. In 2014, ** percent of full-time employed black women worked in professional or managerial positions.

Between 1970 and 1988, the share of women in the civilian workforce in the U.S. rose from 38 to 45 percent, whereas this figure remained fairly constant at just over 50 percent in the Soviet Union. In 1970 in the U.S., the service sector was the only where women made up a majority of the workforce; by 1988, women also made up a majority of the workforce in retail trade and the finance, insurance and real estate sector. In the Soviet Union, these were also the three sectors where women made up the largest share of the workforce.

When comparing both countries, the largest differences existed in the agriculture and construction industries; the share of women in the USSR's agricultural workforce was roughly three times larger than in the U.S. in 1970, and double in 1988; in construction the rate was almost six times higher in 1970, and three times higher in 1988. The reason for the differences decreasing over these years is due to the fact that women's share of the workforce in the U.S. grew across all industries, whereas women in the Soviet Union increasingly moved from jobs in the primary and tertiary sectors to those in service industries.

United States - Labor Force Flows Unemployed to Employed, Women was 781.00000 Thous. of Persons in April of 2025, according to the United States Federal Reserve. Historically, United States - Labor Force Flows Unemployed to Employed, Women reached a record high of 3965.00000 in June of 2020 and a record low of 538.00000 in January of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Labor Force Flows Unemployed to Employed, Women - last updated from the United States Federal Reserve on October of 2025.

Financial overview and grant giving statistics of Women Working Together USA

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 China. 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 China, the median income for all workers aged 15 years and older, regardless of work hours, was $58,750 for males and $30,313 for females.

These income figures highlight a substantial gender-based income gap in China. Women, regardless of work hours, earn 52 cents for each dollar earned by men. This significant gender pay gap, approximately 48%, underscores concerning gender-based income inequality in the city of China.

- Full-time workers, aged 15 years and older: In China, among full-time, year-round workers aged 15 years and older, males earned a median income of $62,188, while females earned $69,375

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.12 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

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

Graph and download economic data for Women Employees, Leisure and Hospitality (CEU7000000010) from Jan 1964 to Sep 2025 about leisure, hospitality, females, establishment survey, employment, and USA.

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 Maryland. 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 Maryland, the median income for all workers aged 15 years and older, regardless of work hours, was $58,694 for males and $42,513 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 28% between the median incomes of males and females in Maryland. With women, regardless of work hours, earning 72 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thestate of Maryland.

- Full-time workers, aged 15 years and older: In Maryland, among full-time, year-round workers aged 15 years and older, males earned a median income of $81,332, while females earned $70,237, resulting in a 14% gender pay gap among full-time workers. This illustrates that women earn 86 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 state of Maryland.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Maryland.

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

View monthly updates and historical trends for US Private Service-providing Women Employees. from United States. Source: Bureau of Labor Statistics. Track…

United States - Labor Force Flows Employed to Unemployed, Women was 510.00000 Thous. of Persons in April of 2025, according to the United States Federal Reserve. Historically, United States - Labor Force Flows Employed to Unemployed, Women reached a record high of 9114.00000 in April of 2020 and a record low of 380.00000 in April of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Labor Force Flows Employed to Unemployed, Women - last updated from the United States Federal Reserve on November of 2025.

In 1979, the median usual weekly earnings of an employed woman in the United States of America amounted to 182 current U.S. dollars. In 2023, this figure had risen to 1,005 current U.S. dollars. The term current U.S. dollars describes the value of the currency in that particular year. Female median weekly earnings adjusted for inflation can be found here.

Graph and download economic data for Women Employees, Mining and Logging (CEU1000000010) from Jan 1960 to Sep 2025 about logging, mining, females, establishment survey, employment, and USA.

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 Knoxville. 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 Knoxville, the median income for all workers aged 15 years and older, regardless of work hours, was $34,078 for males and $27,542 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 19% between the median incomes of males and females in Knoxville. With women, regardless of work hours, earning 81 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Knoxville.

- Full-time workers, aged 15 years and older: In Knoxville, among full-time, year-round workers aged 15 years and older, males earned a median income of $51,506, while females earned $44,402, resulting in a 14% gender pay gap among full-time workers. This illustrates that women earn 86 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 Knoxville.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Knoxville.

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

View monthly updates and historical trends for US Leisure and Hospitality Women Employees. from United States. Source: Bureau of Labor Statistics. Track e…