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

United States Employment: sa: Female: Married, Spouse Present data was reported at 35,976.000 Person th in Jun 2018. This records a decrease from the previous number of 35,978.000 Person th for May 2018. United States Employment: sa: Female: Married, Spouse Present data is updated monthly, averaging 27,424.000 Person th from Jan 1955 (Median) to Jun 2018, with 762 observations. The data reached an all-time high of 36,211.000 Person th in Mar 2007 and a record low of 9,833.000 Person th in Mar 1955. United States Employment: sa: Female: Married, Spouse Present data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G014: Current Population Survey: Employment: Seasonally Adjusted.

United States Employment: Female: Age 35 to 44 data was reported at 14,871.000 Person th in Jun 2018. This records a decrease from the previous number of 14,885.000 Person th for May 2018. United States Employment: Female: Age 35 to 44 data is updated monthly, averaging 9,295.500 Person th from Jan 1948 (Median) to Jun 2018, with 846 observations. The data reached an all-time high of 17,141.000 Person th in Oct 1999 and a record low of 3,531.000 Person th in Jan 1948. United States Employment: Female: Age 35 to 44 data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G013: Current Population Survey: Employment.

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 United States. 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 United States, the median income for all workers aged 15 years and older, regardless of work hours, was $48,138 for males and $32,546 for females.

These income figures highlight a substantial gender-based income gap in United States. Women, regardless of work hours, earn 68 cents for each dollar earned by men. This significant gender pay gap, approximately 32%, underscores concerning gender-based income inequality in the country of United States.

- Full-time workers, aged 15 years and older: In United States, among full-time, year-round workers aged 15 years and older, males earned a median income of $67,966, while females earned $54,999, leading to a 19% gender pay gap among full-time workers. This illustrates that women earn 81 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in United States.

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 United States 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 United States. The dataset can be utilized to gain insights into gender-based income distribution within the United States population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within United States, among individuals aged 15 years and older with income, there were 119.64 million men and 117.56 million women in the workforce. Among them, 66.07 million men were engaged in full-time, year-round employment, while 50.33 million women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 7.45% fell within the income range of under $24,999, while 10.76% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 29.72% of men in full-time roles earned incomes exceeding $100,000, while 18.56% 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 United States median household income by race. You can refer the same here

Graph and download economic data for Infra-Annual Labor Statistics: Working-Age Population Female: From 25 to 54 Years for United States (LFWA25FEUSM647S) from Jan 1977 to Aug 2025 about 25 to 54 years, working-age, females, population, and USA.

This dataset is about books. It has 61 rows and is filtered where the book subjects is Women-Employment-United States. It features 9 columns including author, publication date, language, and book publisher.

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 Employment: Female: Age 20 to 24 data was reported at 6,999.000 Person th in Jun 2018. This records an increase from the previous number of 6,805.000 Person th for May 2018. United States Employment: Female: Age 20 to 24 data is updated monthly, averaging 6,009.500 Person th from Jan 1948 (Median) to Jun 2018, with 846 observations. The data reached an all-time high of 7,063.000 Person th in Aug 2015 and a record low of 2,046.000 Person th in Jan 1954. United States Employment: Female: Age 20 to 24 data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G013: Current Population Survey: Employment.

This statistic presents the percentage of employed women in computing-related occupations in the United States from 2000 to 2020. As of the last reported year, 28.8 percent of U.S. database administrators were female, down from 46.2 percent in 2016.

Labor force, female (% of total labor force) in United States was reported at 45.59 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Labor force, female - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

United States Employment: Female: Family Heads data was reported at 9,763.000 Person th in Jun 2018. This records an increase from the previous number of 9,608.000 Person th for May 2018. United States Employment: Female: Family Heads data is updated monthly, averaging 6,704.000 Person th from Jul 1967 (Median) to Jun 2018, with 612 observations. The data reached an all-time high of 10,064.000 Person th in Nov 2017 and a record low of 2,468.000 Person th in Nov 1968. United States Employment: Female: Family Heads data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G013: Current Population Survey: Employment.

Self-employed, female (% of female employment) (modeled ILO estimate) in United States was reported at 4.1527 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Self-employed; female (% of females employed) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Graph and download economic data for Unemployment Rate - Women (LNS14000002) from Jan 1948 to Aug 2025 about females, 16 years +, household survey, unemployment, rate, and USA.

The gender wage gap indicator compares the median earnings between male and female workers in Champaign County.

Two worker populations are analyzed: all workers, including part-time and seasonal workers and those that were not employed for the full survey year; and full-time, year-round workers. The gender wage gap is included because it blends economics and equity, and illustrates that a major economic talking point on the national level is just as relevant at the local scale.

For all four populations (male full-time, year-round workers; female full-time, year-round workers; all male workers; and all female workers), the estimated median earnings were higher in 2023 than in 2005. The greatest increase in a population’s estimated median earnings between 2005 and 2023 was for female full-time, year-round workers; the smallest increase between 2005 and 2023 was for all female workers. In both categories (all and full-time, year-round), the estimated median annual earnings for male workers was consistently higher than for female workers.

The gender gap between the two estimates in 2023 was larger for full-time, year-round workers than all workers. For full-time, year-round workers, the difference was $11,863; for all workers, it was approaching $9,700.

The Associated Press wrote this article in October 2024 about how Census Bureau data shows that in 2023 in the United States, the gender wage gap between men and women working full-time widened year-over-year for the first time in 20 years.

Income data was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Median Earnings in the Past 12 Months (in 2020 Inflation-Adjusted Dollars) by Sex by Work Experience in the Past 12 Months for the Population 16 Years and Over with Earnings in the Past 12 Months.

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (16 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (20 October 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (21 September 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (7 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (7 June 2021).; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).

Graph and download economic data for Infra-Annual Labor Statistics: Labor Force Participation Rate Female: From 25 to 54 Years for United States (LRAC25FEUSM156S) from Jan 1955 to Aug 2025 about 25 to 54 years, females, participation, labor force, labor, rate, and USA.

Ratio of female to male labor force participation rate (%) (modeled ILO estimate) in United States was reported at 83.88 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Ratio of female to male labor participation rate - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

United States - Employment Level - Married Women was 37921.00000 Thous. of Persons in July of 2025, according to the United States Federal Reserve. Historically, United States - Employment Level - Married Women reached a record high of 37921.00000 in July of 2025 and a record low of 9833.00000 in March of 1955. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employment Level - Married Women - last updated from the United States Federal Reserve on September of 2025.

As part of its mandate under Title VII of the Civil Rights Act of 1964, as amended, the Equal Employment Opportunity Commission requires periodic reports from public and private employers, and unions and labor organizations

The New Mexico 2000 Unified School Districts layer was derived from the TIGER Line files from the US Census Bureau. The districts are clipped to the state boundaries, and available for download from the website.