In 2025, it was estimated that over 163 million Americans were in some form of employment, while 4.16 percent of the total workforce was unemployed. This was the lowest unemployment rate since the 1950s, although these figures are expected to rise in 2023 and beyond. 1980s-2010s Since the 1980s, the total United States labor force has generally risen as the population has grown, however, the annual average unemployment rate has fluctuated significantly, usually increasing in times of crisis, before falling more slowly during periods of recovery and economic stability. For example, unemployment peaked at 9.7 percent during the early 1980s recession, which was largely caused by the ripple effects of the Iranian Revolution on global oil prices and inflation. Other notable spikes came during the early 1990s; again, largely due to inflation caused by another oil shock, and during the early 2000s recession. The Great Recession then saw the U.S. unemployment rate soar to 9.6 percent, following the collapse of the U.S. housing market and its impact on the banking sector, and it was not until 2016 that unemployment returned to pre-recession levels. 2020s 2019 had marked a decade-long low in unemployment, before the economic impact of the Covid-19 pandemic saw the sharpest year-on-year increase in unemployment since the Great Depression, and the total number of workers fell by almost 10 million people. Despite the continuation of the pandemic in the years that followed, alongside the associated supply-chain issues and onset of the inflation crisis, unemployment reached just 3.67 percent in 2022 - current projections are for this figure to rise in 2023 and the years that follow, although these forecasts are subject to change if recent years are anything to go by.

In 2024, the education and health services industry employed the largest number of people in the United States. That year, about 37 million people were employed in the education and health services industry. Education and Health Services Industry Despite being one of the wealthiest nations in the world, the United States has started to fall behind in both education and the health care industry. Although the U.S. spends the most money in both these industries, they do not see their desired results in comparison to other nations. Furthermore, in the education services industry, there was a relatively significant wage gap between men and women. In 2019, men earned about 1,070 U.S. dollars per week on average, while their female counterparts only earned 773 U.S. dollars per week. Employment in the U.S. The 2008 financial crisis was a large-scale event that impacted the entire world, especially the United States. The economy started to improve after 2010, and the number of people employed in the United States has been steadily increasing since then. However, the number of people employed in the education sector is expected to slowly decrease until 2026. The overall unemployment rate in the United States has decreased since 2010 as well.

Employment Rate in the United States increased to 59.70 percent in September from 59.60 percent in August of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Multiple Jobholders as a Percent of Employed (LNS12026620) from Jan 1994 to Sep 2025 about multiple jobholders, 16 years +, percent, household survey, employment, and USA.

Graph and download economic data for Employed, Usually Work Full Time (LNS12500000) from Jan 1968 to Sep 2025 about full-time, 16 years +, household survey, employment, and USA.

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.

Job Offers in the United States increased to 7227 Thousand in August from 7208 Thousand in July of 2025. This dataset provides the latest reported value for - United States Job Openings - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Key information about United States Employed Persons

• United States Employed Persons was reported at 163,307,000.000 Person in Feb 2025
• It recorded a decrease from the previous number of 163,895,000.000 Person for Jan 2025
• US Employed Persons data is updated monthly, averaging 109,912,500.000 Person from Jan 1948 to Feb 2025, with 926 observations
• The data reached an all-time high of 163,895,000.000 Person in Jan 2025 and a record low of 57,172,000.000 Person in Jun 1949
• US Employed Persons data remains active status in CEIC and is reported by CEIC Data
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Employed Persons: Monthly: Seasonally Adjusted

U.S. Bureau of Labor Statistics provides monthly Employed Persons.

United States Employment: Age 16 to 17 data was reported at 1,940.000 Person th in Oct 2018. This records an increase from the previous number of 1,826.000 Person th for Sep 2018. United States Employment: Age 16 to 17 data is updated monthly, averaging 2,179.000 Person th from Jan 1948 (Median) to Oct 2018, with 850 observations. The data reached an all-time high of 4,403.000 Person th in Jul 1978 and a record low of 1,101.000 Person th in Jan 1950. United States Employment: Age 16 to 17 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.

The number of employed persons in The United States increased to 163645 Thousand in September of 2025 from 163394 Thousand in August of 2025. This dataset provides - United States Employed Persons - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Are you looking for a new career opportunity? Do you want to explore the job market and see what skills and qualifications are in demand? Or are you curious about the characteristics and performance of different companies?

If you answered yes to any of these questions, then this dataset is for you! This dataset contains two files: one with over 100,000 job postings, and another with information about more than 30,000 companies from different industries and locations. All the info is from US market, and comes from the website Indeed.

Check the extraction and cleaning process on my GitHub repository:

jobs-data-cleaning

The jobs file includes the following fields:

• Job title
• Company name
• Job Profile
• Remote/Hybrid
• Location
• Salary
• Job requirements

The companies file includes the following fields:

• Company name
• Industry
• Location
• Website
• Number of employees
• Revenue

With this dataset, you can:

• Analyze the job market trends and identify the most popular and lucrative jobs, skills, and qualifications.
• Compare and contrast different companies and see how they perform in terms of revenue, profit, growth, and employee satisfaction.
• Create visualizations and dashboards to showcase your findings and insights.
• Build machine learning models to predict salary, job satisfaction, company rating, or any other outcome of interest.

This dataset is a valuable resource for anyone interested in career development, business analysis, data science, or machine learning. Download it now and start exploring!

In August 2025, about 163.29 million people were employed in the United States, an increase from the previous month. Employed persons consist of: persons who did any work for pay or profit during the survey reference week; persons who did at least 15 hours of unpaid work in a family-operated enterprise; and persons who were temporarily absent from their regular jobs because of illness, vacation, bad weather, industrial dispute, or various personal reasons.

The data in this library comes from the National Survey of Recent College Graduates. Included is information about employment numbers, major information, and the earnings of different majors. Many majors were not available before 2010, so their values have been recorded as 0 (note that this may affect the averages shown in the bar charts).

Data Dictionary

Key	List of...	Comment	Example Value
Year	Integer	The year that this report was made for.	1993
Demographics.Total	Integer	The estimated number of people awarded degrees in this major during this year.	1295598
Education.Major	String	The name of the major for these graduated students.	"Biological Sciences"
Salaries.Highest	Float	The highest recorded salary reported for employed people with this degree during this year.	999999.0
Salaries.Lowest	Float	The lowest recorded salary reported for employed people with this degree during this year.	0.0
Salaries.Mean	Float	The average (mean) recorded salary reported for employed people with this degree during this year.	160585.73
Salaries.Median	Float	The median recorded salary reported for employed people with this degree during this year.	51000.0
Salaries.Quantity	Integer	The number of salaries reported for employed people with this degree during this year.	13432
Salaries.Standard Deviation	Float	The standard deviation (which gives the amount of variance) of salaries reported for employed people with this degree during this year.	297818.25
Demographics.Ethnicity.Asians	Integer	The estimated number of people identifying as Asian that were awarded degrees in this major during this year.	84495
Demographics.Ethnicity.Minorities	Integer	The estimated number of people identifying as a minority (e.g., Black, African American, Native American) that were awarded degrees in this major during this year.	115016
Demographics.Ethnicity.Whites	Integer	The estimated number of people identifying as White that were awarded degrees in this major during this year.	1094775
Demographics.Gender.Females	Integer	The estimated number of women awarded degrees in this major during this year.	551695
Demographics.Gender.Males	Integer	The estimated number of women awarded degrees in this major during this year.	743903
Education.Degrees.Bachelors	Integer	The estimated number of bachelor degrees awarded in this for major during this year.	671374
Education.Degrees.Doctorates	Integer	The estimated number of doctoral degrees awarded in this for major during this year.	90543
Education.Degrees.Masters	Integer	The estimated number of Masters awarded in this for major during this year.	248813
Education.Degrees.Professionals	Integer	The estimated number of professional degrees awarded in this for major during this year.	284869
Employment.Employer Type.Business/Industry	Integer	The number of people with a degree in this major during this year who described their Employer Type as "Business/Industry".	669270
Employment.Employer Type.Educational Institution	Integer	The number of people with a degree in this major during this year who described their Employer Type as an "Educational Institution".	300468
Employment.Employer Type.Government	Integer	The number of people with a degree in this major during this year wh...

Graph and download economic data for All Employees, Manufacturing (MANEMP) from Jan 1939 to Sep 2025 about headline figure, establishment survey, manufacturing, employment, and USA.

Full Time Employment in the United States decreased to 134480 Thousand in August from 134837 Thousand in July of 2025. This dataset provides - United States Full Time Employment- actual values, historical data, forecast, chart, statistics, economic calendar and news.

About this Dataset

This dataset combines automation probability data with a breakdown of the number of jobs and salary in each occupation by state within the USA. Automation probability was acquired from the work of Carl Benedikt Freyand Michael A. Osborne; State employment data is from the Bureau of Labor Statistics. Note that for simplicity of analysis, all jobs where data was not available or there were less than 10 employees were marked as zero.

How to Cite this Dataset

If you use this dataset in your research, please credit the authors.

Salary Data

@misc{u.s. bureau of labor statistics, title={Occupational Employment Statistics}, url={https://www.bls.gov/oes/current/oes_nat.htm}, journal={U.S. BUREAU OF LABOR STATISTICS}}

Automation Data

@article{frey_osborne_2017, title={The future of employment: How susceptible are jobs to computerisation?}, volume={114}, DOI={10.1016/j.techfore.2016.08.019}, journal={Technological Forecasting and Social Change}, author={Frey, Carl Benedikt and Osborne, Michael A.}, year={2017}, pages={254–280}}

License

License was not specified at the source.

Splash Banner

Photo by Alex Knight on Unsplash

Context

This dataset was created by PromptCloud and DataStock. This dataset holds around 30K records for the date range of 1st May 2019 to 31st July 2019.

You can download the full dataset here.

Content

This dataset contains the following:

• Total Records Count : 1203379 
• Domain Name: indeed.com 
• Date Range: 01st May 2019 - 31st Jul 2019  
• File Extension: LDJSON
• Available Fields : -- uniq_id, -- crawl_timestamp, -- url, -- job_title, -- category, -- company_name, -- city, -- state, -- country, -- post_date, -- job_description, -- job_board, -- geo, -- inferred_city, -- inferred_state, -- inferred_country, -- fitness_score 

Acknowledgements

We wouldn't be here without the help of our in house web scraping team at PromptCloud and DataStock. Please feel free to reach out to us at marketing@promptcloud.com

Context

demographics and employment in the united states In the wake of the Great Recession of 2009, there has been a good deal of focus on employment statistics, one of the most important metrics policymakers use to gauge the overall strength of the economy. In the United States, the government measures unemployment using the Current Population Survey (CPS), which collects demographic and employment information from a wide range of Americans each month.

Content

The observations in the dataset represent people surveyed in the September 2013 CPS who actually completed a survey. While the full dataset has 385 variables, in this exercise we will use a more compact version of the dataset, CPSData.csv, which has the following variables:

PeopleInHousehold: The number of people in the interviewee's household.

Region: The census region where the interviewee lives.

State: The state where the interviewee lives.

MetroAreaCode: A code that identifies the metropolitan area in which the interviewee lives (missing if the interviewee does not live in a metropolitan area). The mapping from codes to names of metropolitan areas is provided in the file MetroAreaCodes.csv.

Age: The age, in years, of the interviewee. 80 represents people aged 80-84, and 85 represents people aged 85 and higher.

Married: The marriage status of the interviewee.

Sex: The sex of the interviewee.

Education: The maximum level of education obtained by the interviewee.

Race: The race of the interviewee.

Hispanic: Whether the interviewee is of Hispanic ethnicity.

CountryOfBirthCode: A code identifying the country of birth of the interviewee. The mapping from codes to names of countries is provided in the file CountryCodes.csv.

Citizenship: The United States citizenship status of the interviewee.

EmploymentStatus: The status of employment of the interviewee.

Industry: The industry of employment of the interviewee (only available if they are employed).

Acknowledgements

MITx ANALYTIX

Context

I gathered this data in order to compare industry composition between metro areas.

Content

This is 2019 data from OnTheMap. On Sheet1 you'll find 35 US Metro areas and the industry composition for each. Numbers reflect "All Jobs" in a CBSA. Job totals are given as raw number, not percentage.

Acknowledgements

See OnTheMap for source data.

Inspiration

There's plenty of good stuff to be done with this data. I build a similarity index to compare the metros to one other, but you may find interesting applications by grouping by region or adding other variables to what's given.

Context

This dataset was created by our in-house Web Scraping and Data Mining teams at PromptCloud and DataStock. You can download the full dataset here. This sample contains 30K records. You can download the full dataset here

Content

Total Records Count : 3288410  Domain Name : careerbuilder.usa.com  Date Range : 01st Oct 2021 - 31st Dec 2021   File Extension : ldjson

Available Fields : url, job_title, category, company_name, logo_url, city, state, country, post_date, test_months_of_experience, occupation_category, job_description, job_type, valid_through, html_job_description, extra_fields, test_onetsoc_code, test_onetsoc_name, uniq_id, crawl_timestamp, job_board, geo, job_post_lang, inferred_iso2_lang_code, is_remote, test1_cities, test1_states, test1_countries, site_name, domain, postdate_yyyymmdd, predicted_language, inferred_iso3_lang_code, test1_inferred_city, test1_inferred_state, test1_inferred_country, inferred_city, inferred_state, inferred_country, has_expired, last_expiry_check_date, latest_expiry_check_date, dataset, postdate_in_indexname_format, segment_name, duplicate_status, job_desc_char_count, ijp_reprocessed_flag_1, ijp_reprocessed_flag_2, ijp_reprocessed_flag_3, fitness_score 

  

Acknowledgements

We wouldn't be here without the help of our in house web scraping and data mining teams at PromptCloud, DataStock and live job data from JobsPikr.

Inspiration

This dataset was created keeping in mind our data scientists and researchers across the world.