The Employment Projections (EP) program develops information about the labor market for the Nation as a whole for 10 years in the future. For more information visit: https://www.bls.gov/emp/

The Occupational Outlook Handbook (OOH) is a nationally recognized source of career information, designed to provide valuable assistance to individuals making decisions about their future work lives. The Handbook is revised every two years. The OOH offers information on the hundreds of occupations that provide the majority of jobs in the United States. Each occupational profile describes the typical duties performed by the occupation, the work environment of that occupation, the typical education and training needed to enter the occupation, the median pay for workers in the occupation, and the job outlook over the coming decade for that occupation. For information on occupations, please visit: https://www.bls.gov/ooh/

Every two years, the U.S. Bureau of Labor Statistics (BLS) releases new national employment projections for over 800 different occupations. Using this information, the Virginia Employment Commission (VEC) develops occupational employment projections for Virginia and its regions. To make these numbers more useful to Career and Technical Education (CTE) planners and administrators, who frequently require labor market and employment data to plan programs and to guide students in their career choices, Trailblazers aligns the VEC projection data with the CTE Career Clusters framework.

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.

The paper examines how immediate and projected occupational restructuring affects workers’ mobility. The original worker mobility data can be downloaded from IPUMS CPS (https://cps.ipums.org/cps/). The original occupational restructuring data from the BLS's Occupational Employment and Wage Statistics, Employment Matrix, and Occupational Outlook Handbooks can be downloaded from the BLS website. The original ONET data can be downloaded from the ONET website. The integrated data can be downloaded from the replication files.

In 2023, the U.S. Consumer Price Index was 309.42, and is projected to increase to 352.27 by 2029. The base period was 1982-84. The monthly CPI for all urban consumers in the U.S. can be accessed here. After a time of high inflation, the U.S. inflation rateis projected fall to two percent by 2027. United States Consumer Price Index ForecastIt is projected that the CPI will continue to rise year over year, reaching 325.6 in 2027. The Consumer Price Index of all urban consumers in previous years was lower, and has risen every year since 1992, except in 2009, when the CPI went from 215.30 in 2008 to 214.54 in 2009. The monthly unadjusted Consumer Price Index was 296.17 for the month of August in 2022. The U.S. CPI measures changes in the price of consumer goods and services purchased by households and is thought to reflect inflation in the U.S. as well as the health of the economy. The U.S. Bureau of Labor Statistics calculates the CPI and defines it as, "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services." The BLS records the price of thousands of goods and services month by month. They consider goods and services within eight main categories: food and beverage, housing, apparel, transportation, medical care, recreation, education, and other goods and services. They aggregate the data collected in order to compare how much it would cost a consumer to buy the same market basket of goods and services within one month or one year compared with the previous month or year. Given that the CPI is used to calculate U.S. inflation, the CPI influences the annual adjustments of many financial institutions in the United States, both private and public. Wages, social security payments, and pensions are all affected by the CPI.

These data represent Socioeconomic Projections for the MAG Region by municipal planning area (MPA)*,adopted June 28, 2023, by the MAG Regional Council. An official set of projections is required to be used in transportation, air quality, and water quality management plans, as well as providing the base for all other regional planning activities. Current projections, therefore, are integral for managing future growth. The development of socioeconomic projections requires the collection and merging of a substantial amount of data from varying sources with differing data quality and resolution. These data include the following:Population and Housing: American Community Survey 5-year data (2017-2021),MAG Residential Completions database, County Property Assessment data, MAG/Arizona Department of Administration (ADOA) Annual Population Estimates.Group Quarters (Institutional and Non-institutional): MAG group quarters inventory.Detailed Population Characteristics: American Community Survey (ACS) Public Use Microdata Sample (PUMS) - 5-year data (2017-2021).Employment: MAG Employer Database, county level control totals developed from the Quarterly Census of Employment and Wages and Bureau of Labor Statistics (QCEW/BLS) data.Residential Completions: Current through 2022Q4, submitted and reviewed by MAG member agencies.Existing Land Use: Land use current as of December 2022, reviewed by MAG Population Technical Advisory Committee (POPTAC).Built Space: Maricopa County Assessor’s data current as of July 2022.Future Plans: General Plans current as of December 2022 or later, reviewed by MAG POPTAC.Development Data: data current as of 2023Q2 or later, reviewed by MAG POPTAC.TAZ system: TAZ2021b supplied by MAG Transportation Division.Educational institutions: Inventory of schools from Arizona Department of Education and post high school institutions.Mobile Home and RV Parks: Inventory of mobile home and RV parks.Retirement Areas: Age restricted communities reviewed by MAG POPTAC.Hotels/Motels/Resorts: Inventory of hotels/motels.For full documentation on the model process, please consult the Socioeconomic Projections Documentation: Data, Models, Methods, and Assumptions in the MAG Socioeconomic Projections 2023 on the MAG website at https://www.azmag.gov.These projections were adopted by the MAG Regional Council on June 28, 2023 for the MAG planning area. Areas outside of the MAG planning area are not adopted by the MAG Regional Council, but are prepared on behalf of Central Arizona Governments (CAG) and adopted separately.*Municipal planning areas are determined by the MAG member agencies in consultation with MAG staff. The MPAs identify the anticipated future corporate limits of a city or town.

Context

This dataset lists the natural rate of unemployment (NAIRU) in the U.S., which is the rate of unemployment arising from all sources except fluctuations in aggregate demand. Estimates of potential GDP are based on the long-term natural rate. The short-term natural rate incorporates structural factors that are temporarily boosting the natural rate beginning in 2008. The short-term natural rate is used to gauge the amount of current and projected slack in labor markets, which is a key input into CBO's projections of inflation.

Content

Data includes the date of the quarterly collection and the natural rate of unemployment from January 1, 1949 through October 1, 2016.

Inspiration

• What is the general trend of unemployment?
• Can you compare this unemployment data with other factors found in any of the BLS databases, such as manufacturing employment rates and GDP?

Acknowledgement

This dataset is part of the US Department of Labor Bureau of Labor Statistics Datasets (the Federal Reserve Economic Data database), and the original source can be found here.

These data represent Socioeconomic Projections for the MAG Region by municipal planning area (MPA)*,adopted June 28, 2023, by the MAG Regional Council. An official set of projections is required to be used in transportation, air quality, and water quality management plans, as well as providing the base for all other regional planning activities. Current projections, therefore, are integral for managing future growth. The development of socioeconomic projections requires the collection and merging of a substantial amount of data from varying sources with differing data quality and resolution. These data include the following:Population and Housing: American Community Survey 5-year data (2017-2021),MAG Residential Completions database, County Property Assessment data, MAG/Arizona Department of Administration (ADOA) Annual Population Estimates.Group Quarters (Institutional and Non-institutional): MAG group quarters inventory.Detailed Population Characteristics: American Community Survey (ACS) Public Use Microdata Sample (PUMS) - 5-year data (2017-2021).Employment: MAG Employer Database, county level control totals developed from the Quarterly Census of Employment and Wages and Bureau of Labor Statistics (QCEW/BLS) data.Residential Completions: Current through 2022Q4, submitted and reviewed by MAG member agencies.Existing Land Use: Land use current as of December 2022, reviewed by MAG Population Technical Advisory Committee (POPTAC).Built Space: Maricopa County Assessor’s data current as of July 2022.Future Plans: General Plans current as of December 2022 or later, reviewed by MAG POPTAC.Development Data: data current as of 2023Q2 or later, reviewed by MAG POPTAC.TAZ system: TAZ2021b supplied by MAG Transportation Division.Educational institutions: Inventory of schools from Arizona Department of Education and post high school institutions.Mobile Home and RV Parks: Inventory of mobile home and RV parks.Retirement Areas: Age restricted communities reviewed by MAG POPTAC.Hotels/Motels/Resorts: Inventory of hotels/motels.For full documentation on the model process, please consult the Socioeconomic Projections Documentation: Data, Models, Methods, and Assumptions in the MAG Socioeconomic Projections 2023 on the MAG website at https://www.azmag.gov.These projections were adopted by the MAG Regional Council on June 28, 2023 for the MAG planning area. Areas outside of the MAG planning area are not adopted by the MAG Regional Council, but are prepared on behalf of Central Arizona Governments (CAG) and adopted separately.*Municipal planning areas are determined by the MAG member agencies in consultation with MAG staff. The MPAs identify the anticipated future corporate limits of a city or town.

Dataset Summary: This dataset analyzes layoff trends globally from 1995 to 2024, highlighting the evolution of job sectors and the influence of AI technologies on workforce dynamics. It provides insights into layoffs, reasons behind workforce changes, industry-specific impacts, and future job trends, making it a valuable resource for workforce analytics, AI adoption studies, and economic impact modeling.

Sources and Methodology: This dataset is modeled based on historical events, industry analyses, and logical extrapolations. Key data sources include:

Historical Trends:

Events like the dot-com bubble, global financial crises, and COVID-19.

Reliable sources: U.S. Bureau of Labor Statistics, World Bank, IMF Economic Outlook.

AI Trends and Projections:

Reports from McKinsey & Company, World Economic Forum, and Gartner.

Data on AI job growth and adoption: LinkedIn Economic Graphs, Crunchbase Layoff Tracker.

Skills and Future Jobs:

Reports on emerging skills and workforce trends: Future of Jobs Report 2023, TechCrunch, and Business Insider.

Projections and Logical Assumptions:

Projections for AI adoption, job creation, and displacement are based on publicly available research and extrapolation of trends.

Modeled features like "Future_Job_Trends" and "AI_Job_Percentage" combine factual data with predictive insights.

Potential Use Cases:

Economic Analysis: Study the impact of global events and technological advancements on workforce trends.

AI Adoption Trends: Explore how AI is influencing job creation and displacement across industries.

Policy Planning: Inform government and organizational policies on workforce development and reskilling.

Industry Insights: Gain insights into which industries are most affected by layoffs and which are adopting AI technologies.

Future Workforce Development: Identify emerging skills and prepare for future job market demands.

Disclaimer: This dataset is a combination of historical data, trends, and reasonable projections for future job markets influenced by AI technologies. Projections and estimates should be treated as approximations and not definitive predictions. All efforts have been made to use reliable sources and logical assumptions to ensure accuracy and usefulness for analytical purposes.

Citations:

U.S. Bureau of Labor Statistics (bls.gov)

McKinsey & Company (mckinsey.com)

World Economic Forum (weforum.org)

Gartner Reports (gartner.com)

Crunchbase Layoff Tracker (crunchbase.com)

Future of Jobs Report 2023 (weforum.org/reports)

LinkedIn Economic Graph (economicgraph.linkedin.com)

As per Cognitive Market Research's latest published report, the Global Online Recruitment market size was $27.98 Billion in 2021 and it is forecasted to reach $41.83 Billion by 2029. Online Recruitment Industry's Compound Annual Growth Rate will be 7.3% from 2023 to 2030. Factors Impacting on Online Recruitment Market

An increasing number of job openings has created a massive demand for modern recruiting software, to streamline hiring processes which, include resume management, employee evaluation, assessment tools, and others. According to the Bureau of Labor Statistics 2022, the U.S. economy is projected to add 8.3 million jobs from 2021 to 2031 and it is projected to increase from 158.1 million to 166.5 million and grow 0.5 percent annually.

https://www.bls.gov/news.release/pdf/ecopro.pdf

On the other hand, the growing expansion of cloud-based technologies, availability of high-bandwidth internet infrastructure, and rising use of mobile-based recruitment are some of the other major driving factors for the growth of online recruitment market. Increasing focus on automation is estimated to create lucrative opportunities for the online recruitment market and the increasing incidents of online fraud can hinder the growth of the market.

Market Trends:

The adoption of advanced technologies such as big data, cloud computing, AI, and others is positively impacting the global online recruitment market. A major trend driving the global online recruiting industry is the expansion of high-speed internet access and internet-capable devices like tablets, laptops, and smartphones. Due to this, individuals can easily apply for more positions, and companies have access to a wider choice of candidates. Introduction of Online Recruitment.

Online recruitment is also known as E-recruitment, it uses web-based technology for the various processes of attracting, assessing, selecting, recruiting, and onboarding job candidates. Online recruitment is a way to provide businesses with an efficient and cheaper way to fill positions.

North America Soft Facility Management Market size was valued at USD 58.4 Billion in 2024 and is projected to reach USD 89.2 Billion by 2032, growing at a CAGR of 5.4% from 2025 to 2032.

Key Market Drivers:

Rising Demand for Outsourced Facility Services: Businesses in North America are increasingly outsourcing soft facility management (FM) services like cleaning, security, and landscaping to improve operational efficiency. According to the United States Bureau of Labor Statistics (BLS), employment in the janitorial services sector will increase by 6.2% in 2023, showing a rising reliance on third-party providers for non-core business operations. This trend is especially prevalent in business offices, healthcare facilities, and educational institutions.

Stringent Workplace Health & Safety Regulations: The regulatory frameworks in the United States and Canada require rigorous standards for hygiene, security, and maintenance in commercial venues.