By the year 2033, it is projected that the number of employees working in health care and social assistance will have increased by about 2.24 million from the number employed in 2023. Retail trade, however, is projected to decrease by 364,800 employees by 2033.

By 2033, the number of nurse practitioners is expected to increase by 44.3 percent. Additionally, the occupation of wind turbine service technician is expected to grow by 60.1 percent - reflecting the increase in electricity generated from wind in the United States.

Short-term Occupational Projections for a 2-year time horizon are produced for the State to provide individuals and organizations with an occupational outlook to make informed decisions on individual career and organizational program development. Short-term projections are revised annually. Data are not available for geographies below the state level, including labor market regions. Data is based on second quarter averages and may be subject to seasonality. Detail may not add to summary lines due to suppression of data because of confidentiality and/or quality.

Long-term Occupational Projections for a 10-year time horizon are provided for the State and its labor market regions to provide individuals and organizations with an occupational outlook to make informed decisions on individual career and organizational program development. Long-term projections are revised annually. Data are not available for geographies below the labor market regions. Detail may not add to summary lines due to suppression of data because of confidentiality and/or quality.

By 2033, it is projected that the number of registered nurses working in the U.S., will increase by about 197,200 compared to the number of employed registered nurses in 2023. Home health and personal care aide employment is expected to increase by over 820,500, more than any other occupation in the same time span.

Long-Term (ten-year) estimations, projections, and growth rates for industry and occupation by geographic area in Colorado provided by the Colorado Department of Labor and Employment (CDLE).

By the year 2033, it is projected that the number of employees working in services for the elderly and persons with disabilities around 613,700 employees. Additionally, the computer systems design and related services workforce is expected to grow by around 487,600 workers.

The 3-year Employment Outlooks consist of a rating (very good, good, moderate, limited or very limited) of the employment prospects as well as a narrative text that provides an assessment of the main forecast indicators, recent statistics, and value-added regional observations. Employment Outlooks are developed for each detailed occupation in all provinces, territories and economic regions of Canada, where data permits. They are updated annually. The Employment Outlooks developed until the 2015-2017 period were assessed on the basis of the National Occupational Classification (NOC) 2006, and include up to 520 occupations. Beginning with the 2016-2018 Outlooks, the NOC 2011 is used for the analysis and the Outlooks include up to 500 occupations. Outlooks and trend descriptions for the latest year (currently disseminated on Job Bank) are subject to change as new information becomes available. Every effort will be made to keep the records on the Open Data Portal as up to date as possible, though delays may occur. If you have comments or questions regarding the 3-year Employment Outlooks, please contact the Labour Market Information division at: NC-LMI-IMT-GD@hrsdc-rhdcc.gc.ca

This dataset provides an overview of emerging IT job roles, their domains, and the projected growth rates by 2030. It is designed to help identify high-growth areas in the tech industry, providing insights for career planning, workforce development, and market analysis.

Dataset Features

• IT_JOB_ID: Unique identifier for each IT job entry.
• Domain: The technology domain or specialization (e.g., cybersecurity, cloud computing).
• Job Title: Specific job titles within the domain (e.g., Engineer, Developer, Manager).
• Projected Growth by 2030: Predicted growth percentage for the job role by the year 2030.

Distribution

• Data Volume: 1048575 rows and 4 columns in the provided sample.
• Format: Tabular dataset with structured categorical and numerical data.

Usage

This dataset is ideal for a variety of applications:

• Career Planning: Identifying high-demand IT jobs for students and professionals.
• Workforce Development: Assisting policymakers and organizations in reskilling programs.
• Market Analysis: Evaluating technology trends for industry stakeholders.
• Predictive Modeling: Training models to predict future trends in job growth across domains.

Coverage

• Geographic Coverage: Global.
• Time Range: Projections valid through 2030.
• Demographics: Focuses on IT job roles and their growth potential across various tech domains.

License

CC0

Who Can Use It

• Data Scientists: To create predictive models for future job trends.
• Researchers: To analyze growth trends in emerging IT fields.
• Businesses: To strategize hiring, workforce planning, and investment in tech domains.
• Educators and Trainers: To align course offerings with future demand.

This graph is a projection of the employment growth rates expected for registered nurses between 2008 to 2018, broken down by health care provider type. In the given period, registered nurse employment in physicians' offices is expected to grow by ** percent.

Job growth is often used as a measure of economic expansion and health. The city's job growth consistently exceeds local competitors. Future job growth in Henderson is predicted to be 42.1%, higher than the US average of 33.5%. Note: Most current US Census data is 2018.

This statistic shows occupations in the United States with the highest projected job openings from 2023 to 2033. Over 800,000 job openings are expected in the home health and personal care aides industry between 2023 and 2033.

Long-term Occupational Projections for a 10-year time horizon are provided for the State and its labor market regions to provide individuals and organizations with an occupational outlook to make informed decisions on individual career and organizational program development. Long-term projections are revised biannually. Data are not available for geographies below the labor market regions. Detail may not add to summary lines due to suppression of data because of confidentiality and/or quality.

Long-term Occupational Projections for a 10-year time horizon are provided for the State and its labor market regions to provide individuals and organizations with an occupational outlook to make informed decisions on individual career and organizational program development. Long-term projections are revised biannually. Data are not available for geographies below the labor market regions. Detail may not add to summary lines due to suppression of data because of confidentiality and/or quality.

Unemployment Rate in the United States decreased to 4.10 percent in June from 4.20 percent in May 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.

Analysis of ‘Long-Term Occupational Employment Projections’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8fcc2e43-5993-4f9f-b081-a7a03a805c85 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Long-term Occupational Projections for a 10-year time horizon are provided for the State and its labor market regions to provide individuals and organizations with an occupational outlook to make informed decisions on individual career and organizational program development. Long-term projections are revised biannually. Data are not available for geographies below the labor market regions. Detail may not add to summary lines due to suppression of data because of confidentiality and/or quality.

--- Original source retains full ownership of the source dataset ---

European Union ECB Projection: Employment: YoY Growth: EA data was reported at 0.600 % in 2021. This stayed constant from the previous number of 0.600 % for 2020. European Union ECB Projection: Employment: YoY Growth: EA data is updated yearly, averaging 0.650 % from Dec 2018 (Median) to 2021, with 4 observations. The data reached an all-time high of 1.400 % in 2018 and a record low of 0.600 % in 2021. European Union ECB Projection: Employment: YoY Growth: EA data remains active status in CEIC and is reported by European Central Bank. The data is categorized under Global Database’s European Union – Table EU.G040: European Central Bank: Labour Statistics, Employment and Unemployment: Projection.

Analysis of ‘Short-Term Occupational Employment Projections’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/9809172e-5193-4a6c-8a62-b886eda39c64 on 11 February 2022.

--- Dataset description provided by original source is as follows ---

Short-term Occupational Projections for a 2-year time horizon are produced for the State to provide individuals and organizations with an occupational outlook to make informed decisions on individual career and organizational program development. Short-term projections are revised annually. Data are not available for geographies below the state level, including labor market regions. Data is based on second quarter averages and may be subject to seasonality. Detail may not add to summary lines due to suppression of data because of confidentiality and/or quality.

--- Original source retains full ownership of the source dataset ---

This dataset presents the change in employment through a projection of employment by industries for metropolitan areas following the Greater Capital City Statistical Area (GCCSA) regions projected from 2019 to May 2024. The boundaries for this dataset follow the 2016 edition of the Australian Statistical Geography Standard (ASGS).

The Australian Department of Education, Skills and Employment publishes a range of labour market data on its Labour Market Information Portal. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.

Each year, the National Skills Commission produces employment projections by industry, occupation, skill level and region for the following five-year period. These employment projections are designed to provide a guide to the future direction of the labour market, however, like all such exercises, they are subject to an inherent degree of uncertainty.

The 2019 employment projections are based on the forecasted and projected total employment growth rates published in the 2019-20 Budget, the Labour Force Survey (LFS) data (June 2019) for total employment, and the quarterly detailed LFS data (May 2019) for industry employment data.

AURIN has spatially enabled the original data. Data Source: Department of Jobs and Small Business 2019 Employment Projections, Five Years to May 2024. The 2019 employment projections do not take account of any impact caused by the COVID-19 pandemic and are therefore no longer reflective of current labour market conditions. As such, they should be used, and interpreted, with extreme caution..

This dataset presents the change in employment through a projection of employment by industries for the Statistical Area Level 4 (SA4) regions projected from 2019 to May 2024. The boundaries for this dataset follow the 2016 edition of the Australian Statistical Geography Standard (ASGS).

The Australian Department of Education, Skills and Employment publishes a range of labour market data on its Labour Market Information Portal. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.

Each year, the National Skills Commission produces employment projections by industry, occupation, skill level and region for the following five-year period. These employment projections are designed to provide a guide to the future direction of the labour market, however, like all such exercises, they are subject to an inherent degree of uncertainty.

The 2019 employment projections are based on the forecasted and projected total employment growth rates published in the 2019-20 Budget, the Labour Force Survey (LFS) data (June 2019) for total employment, and the quarterly detailed LFS data (May 2019) for industry employment data.

AURIN has spatially enabled the original data. Data Source: Department of Jobs and Small Business 2019 Employment Projections, Five Years to May 2024. The 2019 employment projections do not take account of any impact caused by the COVID-19 pandemic and are therefore no longer reflective of current labour market conditions. As such, they should be used, and interpreted, with extreme caution.. The region named "Western Australia - Outback (North and South)" in the original data has been omitted as it did not match a region within the SA4 2016 ASGS.