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.

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.

Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Dataset Overview

The "AI and ML Job Listings USA" dataset provides a comprehensive collection of job postings in the field of Artificial Intelligence (AI) and Machine Learning (ML) across the United States. The dataset includes job listings from 2022 to 2024, capturing the evolving landscape of AI/ML job opportunities. This dataset is valuable for researchers, job seekers, and data scientists interested in understanding trends, demands, and opportunities in the AI/ML job market.

Data Science Applications

This dataset can be utilized for various data science applications, including: - Trend Analysis: Identifying trends in job titles, locations, and required skills over time. - Demand Forecasting: Predicting future demand for AI/ML roles based on historical data. - Skills Gap Analysis: Analyzing the skills and experience levels in demand versus the available workforce. - Geospatial Analysis: Mapping job opportunities across different regions in the USA. - Salary Prediction: Developing models to predict salaries based on job descriptions and other attributes. Some job descriptions include salary information, which can be identified by exploring the 'description' column for mentions of compensation, pay, or salary-related terms.

Column Descriptors

1. title: The job title (e.g., AI/ML Engineer).
2. location: The location of the job (e.g., New York, NY).
3. publishedAt: The date the job was published (e.g., 2024-05-29).
4. companyName: The name of the company offering the job (e.g., Wesper).
5. description: A detailed description of the job (e.g., responsibilities, qualifications, and sometimes salary information).
6. applicationsCount: The number of applications received (e.g., Over 200 applicants).
7. contractType: The type of contract (e.g., Full-time).
8. experienceLevel: The level of experience required (e.g., Mid-Senior level).
9. workType: The type of work (e.g., Engineering and Information Technology).
10. sector: The industry sector of the job (e.g., Internet Publishing).

Ethically Mined Data

This dataset has been ethically mined using an API, ensuring no private information has been revealed. Sensitive data, such as the recruiter name, has been removed to protect privacy and comply with ethical standards.

Acknowledgments

• LinkedIn: For providing the platform where these job listings were originally posted.
• DALL·E 3: For generating the thumbnail image used for this dataset.

This dataset provides a rich resource for analyzing and understanding the AI and ML job market in the USA, offering insights into job trends, requirements, and opportunities in this rapidly growing field.

Job Dataset

This dataset provides a comprehensive collection of synthetic job postings to facilitate research and analysis in the field of job market trends, natural language processing (NLP), and machine learning. Created for educational and research purposes, this dataset offers a diverse set of job listings across various industries and job types.

Descriptions for each of the columns in the dataset:

1. Job Id: A unique identifier for each job posting.
2. Experience: The required or preferred years of experience for the job.
3. Qualifications: The educational qualifications needed for the job.
4. Salary Range: The range of salaries or compensation offered for the position.
5. Location: The city or area where the job is located.
6. Country: The country where the job is located.
7. Latitude: The latitude coordinate of the job location.
8. Longitude: The longitude coordinate of the job location.
9. Work Type: The type of employment (e.g., full-time, part-time, contract).
10. Company Size: The approximate size or scale of the hiring company.
11. Job Posting Date: The date when the job posting was made public.
12. Preference: Special preferences or requirements for applicants (e.g., Only Male or Only Female, or Both)
13. Contact Person: The name of the contact person or recruiter for the job.
14. Contact: Contact information for job inquiries.
15. Job Title: The job title or position being advertised.
16. Role: The role or category of the job (e.g., software developer, marketing manager).
17. Job Portal: The platform or website where the job was posted.
18. Job Description: A detailed description of the job responsibilities and requirements.
19. Benefits: Information about benefits offered with the job (e.g., health insurance, retirement plans).
20. Skills: The skills or qualifications required for the job.
21. Responsibilities: Specific responsibilities and duties associated with the job.
22. Company Name: The name of the hiring company.
23. Company Profile: A brief overview of the company's background and mission.

Potential Use Cases:

• Building predictive models to forecast job market trends.
• Enhancing job recommendation systems for job seekers.
• Developing NLP models for resume parsing and job matching.
• Analyzing regional job market disparities and opportunities.
• Exploring salary prediction models for various job roles.

Acknowledgements:

We would like to express our gratitude to the Python Faker library for its invaluable contribution to the dataset generation process. Additionally, we appreciate the guidance provided by ChatGPT in fine-tuning the dataset, ensuring its quality, and adhering to ethical standards.

Note:

Please note that the examples provided are fictional and for illustrative purposes. You can tailor the descriptions and examples to match the specifics of your dataset. It is not suitable for real-world applications and should only be used within the scope of research and experimentation. You can also reach me via email at: rrana157@gmail.com

By the last business day of May 2025, there were about 7.77 million job openings in the United States. This is an increase from the previous month, when there were 7.44 million job openings. The data are seasonally adjusted. Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends.

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.

Graph and download economic data for Job Openings: Total Nonfarm (JTSJOL) from Dec 2000 to Aug 2025 about job openings, vacancy, nonfarm, and USA.

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.

The JOLTs (Job Openings and Labor Turnover Survey) report is a monthly economic indicator released by the U.S. Bureau of Labor Statistics that measures job vacancies, hires, and separations in the U.S. labor market.-2024-05-01

This graph shows the civilian labor force in the United States from 1990 to 2024. In 2024, the number of people who had jobs or were seeking employment amounted to about 168.11 million.

In 2024, the employment rate of the workforce of 55 years and older decreased to 37.3 percent. Employment rate among young adults (age 16-24) was at 50.9 percent in 2024. For monthly updates on employment in the United States visit the annual national employment rate here.

Labor Force Participation Rate in the United States increased to 62.40 percent in September from 62.30 percent in August of 2025. This dataset provides the latest reported value for - United States Labor Force Participation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

View monthly updates and historical trends for US Unemployment Rate. from United States. Source: Bureau of Labor Statistics. Track economic data with YCha…

Non Farm Payrolls in the United States increased by 119 thousand in September of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Infra-Annual Registered Unemployment and Job Vacancies: Total Economy: Unfilled Vacancies for United States (LMJVTTUVUSM647S) from Dec 2000 to Jan 2024 about job openings, vacancy, jobs, and USA.

In 2024, about 62.7 percent of the Asian community was employed. The highest employment rate was found among Mexican-Americans, at 64.1 percent, and the lowest employment rate was found among Puerto Ricans, at 55.2 percent. In total, around 60 percent of all working-age Americans were employed at this time.

This dataset provides comprehensive information on salaries for various job roles across different countries. It includes details such as job titles, categories, local currency salaries, currency exchange rates, and converted salaries in US dollars. The data is sourced from worldsalaries.com and is subject to the website's terms of use and license.

Pointers

• The dataset covers a wide range of countries and job roles, allowing for cross-country and cross-industry comparisons.
• Local currency salaries are provided, along with the corresponding exchange rates and converted salaries in US dollars.
• Job roles are categorized into different groups, making it easier to analyze salaries within specific industries or sectors.
• The dataset can be used for various purposes, such as salary benchmarking, cost of living analysis, and labor market research.

How to Use

The dataset is provided in a tabular format, with each row representing a unique combination of country, job title, category, and salary information. Users can filter, sort, and analyze the data based on their specific requirements. It is recommended to handle the dataset using spreadsheet software or data analysis tools for efficient manipulation and analysis.

Data Source

The dataset is sourced from https://worldsalaries.com, a website dedicated to providing comprehensive salary information from around the world.

License and Terms of Use 📄

The license and terms of use for this dataset are as per the worldsalaries.com website's terms of use. Please respect their terms and adhere to them.

Column Descriptions

1. Country: The name of the country for which the salary information is provided.
2. Job Title: The specific job title or role for which the salary is listed.
3. Category: The broader category or industry to which the job title belongs.
4. Salary (Local Currency): The salary amount in the local currency of the respective country.
5. Currency: The currency code or symbol representing the local currency of the country.
6. Exchange Rate: The exchange rate value used to convert the local currency salary to US dollars.
7. Salary (Current USD): The salary amount converted to US dollars using the provided exchange rate.

Example

• Country: Afghanistan
• Job Title: Account Examiner
• Category: Accounting and Finance
• Salary (Local Currency): 501400 AFN (Afghan Afghani)
• Currency: AFN
• Exchange Rate: 71.31
• Salary (Current USD): 7037.74 (Converted salary in US dollars)

Challenger Job Cuts in the United States increased to 153074 Persons in October from 54064 Persons in September of 2025. This dataset provides the latest reported value for - United States Challenger Job Cuts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Snapshot img

US Online Recruitment Market Size 2025-2029

The us online recruitment market size is forecast to increase by USD 4.39 billion at a CAGR of 7.3% between 2024 and 2029.

The Online Recruitment Market in the US is experiencing significant shifts, driven by innovations in the hiring process. Companies are increasingly adopting artificial intelligence (AI) technologies to streamline their recruitment efforts, with AI-powered searches becoming a norm. This trend is transforming the way organizations attract and select talent, enabling faster and more accurate matching of candidates to job openings. However, this dynamic market also presents challenges. The rise in competition has led to a decline in profitability for many players. With numerous recruitment solutions available, differentiating offerings and maintaining a competitive edge becomes crucial. Companies must continually innovate and adapt to meet the evolving needs of clients and candidates. Additionally, ensuring data security and privacy in the digital recruitment process is a growing concern, requiring robust security measures and compliance with regulations. To thrive in this market, organizations must effectively balance innovation, competition, and security to capitalize on opportunities and navigate challenges.

What will be the size of the US Online Recruitment Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleIn the dynamic US recruitment market, employers increasingly leverage various strategies to attract and retain top talent. Recruitment advertising through multiple channels, including social media marketing and pay-per-click (PPC) advertising, plays a significant role in reaching a wider candidate pool. Employer reviews, a critical component of brand reputation, influence potential applicants' decisions. Email marketing and referral bonuses are effective tools for engaging current employees and expanding the talent pool. Performance reviews, leadership development, and behavioral interviewing are essential elements of a robust talent acquisition strategy. Social media marketing and talent marketplaces foster diversity recruitment and employee advocacy. Organizational culture, job satisfaction, and employee well-being are crucial factors in retaining top talent. HR dashboards, benefits administration, and workforce analytics provide valuable insights into workforce trends. Inclusive hiring, bias mitigation, and training and development are essential for fostering a diverse and inclusive work environment. Career development opportunities, competency-based interviewing, and structured interviewing contribute to total rewards and skills-based hiring. Employers prioritize these trends to stay competitive in the evolving US recruitment landscape.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ApplicationHospitalityManufacturingHealthcareBFSIOthersEnd-userEmployersNon-employersPlatform TypeJob PortalsSocial Media RecruitingAI-Based MatchingTechnologyTechnologyHealthcareFinanceEducationService ModeJob PostingCandidate ScreeningEmployer BrandingJob TypeFull-TimePart-TimeFreelanceInternshipsGeographyNorth AmericaUS

By Application Insights

The hospitality segment is estimated to witness significant growth during the forecast period.

The online recruitment market in the US is witnessing significant growth, particularly in the hospitality sector, which currently holds the largest share. Macroeconomic factors and industry developments have fueled this demand, leading companies to automate routine tasks and focus on customer engagement. Consequently, the skillset requirements have evolved, necessitating the hiring of a larger workforce. Moreover, the increase in Meetings, Incentives, Conferences, and Exhibitions (MICE) activities has further boosted the need for employees with soft and operational skills. Video interviewing and social media recruitment have emerged as popular trends, enabling employers to assess candidates more efficiently and engage with a larger talent pool. Talent mobility, executive search, and workforce planning have gained prominence, as companies strive to retain top performers and plan for succession. Psychometric testing, permanent placements, and learning and development have become essential components of the recruitment process, ensuring a good fit and continuous skill development. Compensation benchmarking, mobile recruitment, and hr analytics have become crucial for employers to remain competitive in the market. Cloud-based solutions and hr technology have streamlined processes, while data security and legal regulations