Graph and download economic data for Business Sector: Employment for All Workers (PRS84006011) from Q1 1948 to Q1 2025 about productivity, sector, business, employment, rate, and USA.

Key workers are largely employed in the private sector, with only 14.6 percent holding public sector employment on average. However, the rate of public sector employment differs greatly depending on the country income group. Fewer people are employed in the public sector in low and lower-middle income countries, given smaller tax revenues as a proportion of the national income and the significance of agricultural employment.

Graph and download economic data for Employed full time: Wage and salary workers: Human resources workers occupations: 16 years and over (LEU0257855600A) from 2011 to 2024 about human resources, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

Labour statistics by job category, for Canada, the provinces and territories, annual.

Graph and download economic data for Unemployment Rate Full-Time Workers (LNS14100000) from Jan 1968 to Jul 2025 about full-time, workers, 16 years +, household survey, unemployment, rate, and USA.

AHE: sa: PW: FA: Consumer Lending data was reported at 28.890 USD in Mar 2025. This records an increase from the previous number of 28.730 USD for Feb 2025. AHE: sa: PW: FA: Consumer Lending data is updated monthly, averaging 13.320 USD from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 28.890 USD in Mar 2025 and a record low of 8.580 USD in Feb 1990. AHE: sa: PW: FA: Consumer Lending data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

AHE: sa: PW: EH: Child & Youth Services data was reported at 24.850 USD in Mar 2025. This records an increase from the previous number of 24.750 USD for Feb 2025. AHE: sa: PW: EH: Child & Youth Services data is updated monthly, averaging 15.010 USD from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 24.850 USD in Mar 2025 and a record low of 8.520 USD in Jan 1990. AHE: sa: PW: EH: Child & Youth Services data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

Using data sourced from Twitter, Reddit and TikTok which was synthesised from an independent sample of 343,412 people worldwide, 12 months to 6th July 2024, we asked how people how worker fatigue affects employees and employers. We found 31% of worker fatigue cases were stress induced, workplace culture (20.3%), poor worklife balance (12.6%), long working hours (12%), and lack of whysical activity (8.4%).

Statistics which provide estimates and interpretation of snapshot (quarter two 2012) and trends (2001-2012) for older workers' employment, labour market participation and developments in the UK.

DWP no longer published the ‘Older workers statistical information booklet’; the last edition was published in December 2013.

https://www.gov.uk/government/collections/older-workers-statistical-information-booklet

Source agency: Work and Pensions

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: OWSIB

In June 2025, the civilian labor force amounted to 170.38 million people in the United States. The term civilian labor force is used by the U.S. Bureau of Labor Statistics (BLS) to describe the subset of Americans who have jobs or are seeking a job, are at least 16 years old, are not serving in the military, and are not institutionalized.

Number of employees by class of worker and gender. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

In 2022, about ** percent of part-time civilian workers with paid holidays had less than **** days of paid holidays in the United States. On the other hand, only *** percent had ** days of paid holidays.

During the recorded time period, the highest peak in health-related absenteeism was in the month of January in the 2021 to 2022 flu-season, where five percent of full-time workers were absent from work. This statistic represents the percentage of full-time workers in the U.S. absent from work for health-related reasons from 2015-2024, by month.

AHE: sa: PW: EH: Offices of Physicians data was reported at 43.250 USD in Mar 2025. This records an increase from the previous number of 42.910 USD for Feb 2025. AHE: sa: PW: EH: Offices of Physicians data is updated monthly, averaging 17.940 USD from Jan 1982 (Median) to Mar 2025, with 519 observations. The data reached an all-time high of 43.250 USD in Mar 2025 and a record low of 7.030 USD in Feb 1982. AHE: sa: PW: EH: Offices of Physicians data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G076: Current Employment Statistics: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

Number of employees by North American Industry Classification System (NAICS) and type of employee, last 5 years.

Introduction

Work-Life Balance Statistics: Work-life balance has become a key concern for both employees and employers in today’s busy world. 53% of employees globally feel burned out, with poor work-life balance being a major cause. A National Sleep Foundation study revealed that 42% of workers feel their personal life is negatively affected by their work.

As more companies adopt flexible work options, understanding these statistics is crucial for creating healthier and more productive work environments. These numbers show just how important it is for businesses to prioritize work-life balance for the well-being of their employees.

Oregon workers' compensation data about insurers and self-insured employers. The data is presented in the Department of Consumer and Business Services report at https://www.oregon.gov/dcbs/reports/compensation/Pages/index.aspx. The attached pdf provides definitions of the data.

Analysis of 2015 full-time employee earnings by gender across the various Departments of the City of Los Angeles.

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 Washington. 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 Washington, the median income for all workers aged 15 years and older, regardless of work hours, was $77,818 for males and $64,201 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 17% between the median incomes of males and females in Washington. With women, regardless of work hours, earning 83 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Washington.

- Full-time workers, aged 15 years and older: In Washington, among full-time, year-round workers aged 15 years and older, males earned a median income of $110,582, while females earned $95,422, 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 Washington.

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 Washington.

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

Introduction

Remote Work Statistics: The traditional office-based work model has undergone a significant transformation in recent years, with remote work becoming increasingly prevalent. As of 2024, approximately 30% of the global workforce engages in remote work at least part-time. In the United States, 12.7% of full-time employees work entirely from home, while 28.2% follow a hybrid model combining home and office work.

Productivity has seen notable improvements among remote workers. Studies indicate that remote employees are 35–40% more productive than their in-office counterparts, often working 1.4 additional days per month. Moreover, 77% of remote workers report higher productivity levels when working from home.

Financial benefits are also significant. Employers can save up to USD 11,000 per remote employee annually due to reduced overhead costs. Employees, on average, save approximately USD 4,000 per year on commuting and related expenses.

Employee well-being has improved with remote work. About 82% of remote workers report lower stress levels, and 78% experience better work-life balance. Additionally, companies offering remote work options see a 25% reduction in employee turnover.

These statistics highlight the evolving landscape of work, emphasizing the productivity gains, cost savings, and enhanced employee satisfaction associated with remote work arrangements. Let's examine some statistics to gain a better understanding of the current state of remote work.