Part Time Employment in the United States decreased to 28190 Thousand in June from 28557 Thousand in May of 2025. This dataset provides - United States Part Time Employment- actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States US: Employment To Population Ratio: National Estimate: Aged 15-24 data was reported at 50.340 % in 2017. This records an increase from the previous number of 49.410 % for 2016. United States US: Employment To Population Ratio: National Estimate: Aged 15-24 data is updated yearly, averaging 54.810 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 61.150 % in 1989 and a record low of 45.000 % in 2010. United States US: Employment To Population Ratio: National Estimate: Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Employment and Unemployment. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Graph and download economic data for Percent of Employment in Manufacturing in the United States (DISCONTINUED) (USAPEFANA) from 1970 to 2012 about percent, manufacturing, employment, and USA.

Private businesses in the United States fired -33 thousand workers in June of 2025 compared to 29 thousand in May of 2025. This dataset provides the latest reported value for - United States ADP Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

United States US: Employment Rate: Age 15-74 data was reported at 67.118 % in 2026. This records an increase from the previous number of 66.828 % for 2025. United States US: Employment Rate: Age 15-74 data is updated yearly, averaging 65.646 % from Dec 1985 (Median) to 2026, with 42 observations. The data reached an all-time high of 69.750 % in 2000 and a record low of 61.414 % in 2010. United States US: Employment Rate: Age 15-74 data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.EO: Employment and Unemployment: Forecast: OECD Member: Annual.

Graph and download economic data for Employment Level (CE16OV) from Jan 1948 to Jun 2025 about civilian, 16 years +, household survey, employment, and USA.

United States US: Employment In Industry: Modeled ILO Estimate: Female: % of Female Employment data was reported at 8.347 % in 2017. This records an increase from the previous number of 8.251 % for 2016. United States US: Employment In Industry: Modeled ILO Estimate: Female: % of Female Employment data is updated yearly, averaging 9.952 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 13.606 % in 1991 and a record low of 7.916 % in 2010. United States US: Employment In Industry: Modeled ILO Estimate: Female: % of Female Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Employment and Unemployment. Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections.

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 Fort Meade. 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 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Fort Meade, the median income for all workers aged 15 years and older, regardless of work hours, was $30,401 for males and $22,154 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 27% between the median incomes of males and females in Fort Meade. With women, regardless of work hours, earning 73 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Fort Meade.

- Full-time workers, aged 15 years and older: In Fort Meade, among full-time, year-round workers aged 15 years and older, males earned a median income of $45,939, while females earned $41,231, resulting in a 10% gender pay gap among full-time workers. This illustrates that women earn 90 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 Fort Meade.

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 Fort Meade.

https://i.neilsberg.com/ch/fort-meade-fl-income-by-gender.jpeg" alt="Fort Meade, FL gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-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 2022
• 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 Fort Meade median household income by gender. You can refer the same here

United States Employment: NF: sa: WW: NR: Mining data was reported at 88.800 Person th in May 2018. This records an increase from the previous number of 87.800 Person th for Apr 2018. United States Employment: NF: sa: WW: NR: Mining data is updated monthly, averaging 88.800 Person th from Jan 1960 (Median) to May 2018, with 701 observations. The data reached an all-time high of 145.900 Person th in Mar 1982 and a record low of 49.200 Person th in Apr 1966. United States Employment: NF: sa: WW: NR: Mining 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.G029: Current Employment Statistics Survey: Employment: Women Worker: Non Farm: Seasonally Adjusted.

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

Key observations

• Employment patterns: Within American Fork, among individuals aged 15 years and older with income, there were 12,169 men and 10,456 women in the workforce. Among them, 7,760 men were engaged in full-time, year-round employment, while 3,803 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 6.07% fell within the income range of under $24,999, while 7.18% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 34.82% of men in full-time roles earned incomes exceeding $100,000, while 11.89% 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 American Fork median household income by race. You can refer the same here

United States Employment: NF: sa: PW: LH: Food Services & Drinking Places data was reported at 10,584.400 Person th in May 2018. This records an increase from the previous number of 10,567.200 Person th for Apr 2018. United States Employment: NF: sa: PW: LH: Food Services & Drinking Places data is updated monthly, averaging 7,784.100 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 10,584.400 Person th in May 2018 and a record low of 5,808.400 Person th in May 1991. United States Employment: NF: sa: PW: LH: Food Services & Drinking Places 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.G031: Current Employment Statistics Survey: Employment: Production Worker: Non FarmSeasonally Adjusted.

United States Employment: NF: sa: PW: CO: Power & Communication System data was reported at 147.700 Person th in May 2018. This records an increase from the previous number of 146.100 Person th for Apr 2018. United States Employment: NF: sa: PW: CO: Power & Communication System data is updated monthly, averaging 110.400 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 147.700 Person th in May 2018 and a record low of 62.600 Person th in Mar 1991. United States Employment: NF: sa: PW: CO: Power & Communication System 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.G031: Current Employment Statistics Survey: Employment: Production Worker: Non FarmSeasonally Adjusted.

United States Employment: NF: PW: PB: Security & Armored Car Services data was reported at 737.400 Person th in May 2018. This records an increase from the previous number of 733.200 Person th for Apr 2018. United States Employment: NF: PW: PB: Security & Armored Car Services data is updated monthly, averaging 575.500 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 740.800 Person th in Sep 2017 and a record low of 416.000 Person th in Jan 1990. United States Employment: NF: PW: PB: Security & Armored Car Services 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.G030: Current Employment Statistics Survey: Employment: Production Worker: Non Farm.

United States Employment: NF: PW: PB: Convention & Trade Show Organizer data was reported at 50.400 Person th in May 2018. This records a decrease from the previous number of 51.000 Person th for Apr 2018. United States Employment: NF: PW: PB: Convention & Trade Show Organizer data is updated monthly, averaging 40.500 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 55.800 Person th in Oct 2002 and a record low of 29.900 Person th in Jul 2010. United States Employment: NF: PW: PB: Convention & Trade Show Organizer 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.G030: Current Employment Statistics Survey: Employment: Production Worker: Non Farm.

Employment: NF: sa: PW: PB: Social Science & Humanities Research data was reported at 52.500 Person th in May 2018. This records an increase from the previous number of 52.200 Person th for Apr 2018. Employment: NF: sa: PW: PB: Social Science & Humanities Research data is updated monthly, averaging 45.600 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 52.800 Person th in Sep 2017 and a record low of 35.400 Person th in Sep 1990. Employment: NF: sa: PW: PB: Social Science & Humanities Research 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.G031: Current Employment Statistics Survey: Employment: Production Worker: Non FarmSeasonally Adjusted.

CFNAI Employment Index in the United States decreased to -0.05 points in May from -0.02 points in April of 2025. This dataset includes a chart with historical data for the United States CFNAI Employment Index.

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 D'Lo. 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 D'Lo, the median income for all workers aged 15 years and older, regardless of work hours, was $24,000 for males and $26,161 for females.

Contrary to expectations, women in D'Lo, women, regardless of work hours, earn a higher income than men, earning 1.09 dollars for every dollar earned by men. This analysis indicates a significant shift in income dynamics favoring females.

- Full-time workers, aged 15 years and older: In D'Lo, among full-time, year-round workers aged 15 years and older, males earned a median income of $36,750, while females earned $43,571

Contrary to expectations, in D'Lo, women, earn a higher income than men, earning 1.19 dollars for every dollar earned by men. This analysis showcase a consistent trend of women outearning men, when working full-time or part-time in the town of D'Lo.

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 D'Lo 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 American Fork. 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 American Fork, the median income for all workers aged 15 years and older, regardless of work hours, was $54,439 for males and $27,701 for females.

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

- Full-time workers, aged 15 years and older: In American Fork, among full-time, year-round workers aged 15 years and older, males earned a median income of $71,091, while females earned $50,384, leading to a 29% gender pay gap among full-time workers. This illustrates that women earn 71 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 American Fork.

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 American Fork 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 Jeanerette. 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 Jeanerette, the median income for all workers aged 15 years and older, regardless of work hours, was $44,048 for males and $23,274 for females.

These income figures highlight a substantial gender-based income gap in Jeanerette. Women, regardless of work hours, earn 53 cents for each dollar earned by men. This significant gender pay gap, approximately 47%, underscores concerning gender-based income inequality in the city of Jeanerette.

- Full-time workers, aged 15 years and older: In Jeanerette, among full-time, year-round workers aged 15 years and older, males earned a median income of $77,440, while females earned $49,028, leading to a 37% gender pay gap among full-time workers. This illustrates that women earn 63 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Jeanerette, 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 Jeanerette median household income by race. You can refer the same here

Employment: NF: sa: PW: PB: Professional Employer Organization data was reported at 338.900 Person th in May 2018. This records an increase from the previous number of 338.000 Person th for Apr 2018. Employment: NF: sa: PW: PB: Professional Employer Organization data is updated monthly, averaging 377.500 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 758.200 Person th in Sep 2000 and a record low of 105.500 Person th in Jan 1990. Employment: NF: sa: PW: PB: Professional Employer Organization 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.G031: Current Employment Statistics Survey: Employment: Production Worker: Non FarmSeasonally Adjusted.