This statistic shows the leading job-growth sectors in the United States between 2018 and 2028, ranked by the number of jobs forecast to be created over this period. It is estimated that around ***** million new jobs will be created in the health care and social assistance sector during this time period.
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.
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The U.S. Bureau of Economic Analysis’ Total Full-Time and Part-Time Employment data provides one of the most comprehensive, publicly available accountings of average annual employment. Beyond full- and part-time employment types, it includes farm employment and other sectors that aren’t always included in other sources, such as Public Administration (with more detail of federal than state and local employment in this category). It also includes and distinguishes both Wage and Salary employees from Proprietors who own their own unincorporated businesses and handle taxation chiefly as personal income. Proprietors tend to be single-person or small businesses and can include construction or repair workers, babysitters, ride-share drivers, artists, local grocers, housekeepers, various freelancers and consultants, and some attorneys and doctors.
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This dataset provides a comprehensive view of the job market in California, highlighting companies and cities with the highest number of job opportunities. Created by JoPilot, it contains valuable information for anyone interested in the employment landscape across different industries and regions. It includes key information such as:
• Company name • City • State • Number of active jobs
For job seekers, employers, and researchers, this resource can be particularly useful in several ways:
For a more comprehensive job search strategy, consider complementing this dataset with additional resources such as the California Labor Market Information tools, which offer detailed insights into wages, employment projections, and industry-specific data.
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.
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Graph and download economic data for All Employees, Total Private (USPRIV) from Jan 1939 to Jun 2025 about headline figure, establishment survey, private industries, private, employment, industry, and USA.
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Graph and download economic data for All Employees, Manufacturing (MANEMP) from Jan 1939 to Jun 2025 about headline figure, establishment survey, manufacturing, employment, and USA.
In Sweden, the sectors with the highest employment growth will be optical and electronic equipment as well as air transport. Between 2021 and 2030, it is expected that the optical and electronic equipment sector will grow by 4.5 percent, while the air transport industry will grow by 3.8 percent.
In the United States, private nonfarm payroll employment decreased by around 28,000 in October 2024 compared to the previous month. The data are seasonally adjusted. According to the BLS, the data is derived from the Current Employment Statistics (CES) program which surveys about 140,000 businesses and government agencies each month, representing approximately 440,000 individual worksites, in order to provide detailed industry data on employment.
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.
These economic estimates are used to provide an estimate of the contribution of DCMS sectors to the UK economy, measured by employment (number of filled jobs). These estimates are calculated based on the Office for National Statistics (ONS) Annual Population Survey (APS).They have been independently reviewed by the Office for Statistics Regulation (OSR) and are accredited official statistics.
The ONS has carried out analysis to assess the impact of falling sample sizes on the quality of Annual Population Survey (APS) estimates. Due to the ongoing challenges with response rates, response levels and weighting, the accreditation of ONS statistics based on Annual Population Survey (APS) was temporarily suspended on 9 October 2024. Because of the increased volatility of both Labour Force Survey (LFS) and APS estimates, the ONS advises that estimates produced using these datasets should be treated with additional caution.
ONS statistics based on both the APS and LFS will be considered official statistics in development until further review. We are reviewing the quality of our estimates and will update users about the accreditation of DCMS Employment Economic Estimates if this changes. In the interim, due to these smaller sample sizes, we have published data for this quarter with a slightly reduced set of demographic breakdowns for DCMS sectors and subsectors.
These statistics cover the contributions of the following DCMS sectors to the UK economy;
Tourism is not included as the data is not available for non-calendar year publications. The release also includes estimates for the audio visual sector and computer games sector but they do not form part of the DCMS total.
Users should note that there is overlap between DCMS sector definitions. In particular, several cultural sector industries are simultaneously creative industries.
A definition for each sector is available in the tables published alongside this release. Further information on all these sectors is available in the associated technical report along with details of methods and data limitations.
There were 4.0 million total filled jobs in the included DCMS sectors, representing 11.9% of UK total filled jobs. This is similar to the previous equivalent 12 month period of 11.8% and a 1.2 percentage point increase on pre-pandemic (2019), at 10.7%.
Growth in the included DCMS sectors was 1.3% when compared to the previous equivalent 12 month period, compared to 0.5% for all UK sectors.Growth in filled jobs within the included DCMS sectors has exceeded that of the UK overall compared to 2019 (12.4% vs 1.6%) and over the longer term compared to 2011 (39.4% vs 13.1%).
Within the included DCMS sectors, 24.4% of filled jobs were in London, a higher proportion compared to the UK economy overall, of which 16.0% were in London. However, this varies by sector.
We are always interested in receiving feedback on our statistics. We are particularly interested in how useful our rolling quarterly employment statistics are, and how statistics for non-calendar year quarterly periods are used in comparison to our calendar year statistics. If you have any feedback, please contact us directly by emailing evidence@dcms.gov.uk.
First published on 3rd April 2025.
A document is provided that contains a list of ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
DCMS Economic Estimates Employment official statistics, calculated from the ONS Annual Population Survey (APS), were independently reviewed by the Office for Statistics Regulation (OSR) in June 2019. They comply with the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics and should be labelled accredited official statistics. Accredited official statistics are called National Statistics in the Statistics and Registration Service Act 2007.
Our statistical practice is regulated by the OSR. OSR sets the standards of trustworthiness, quality and value in t
Net employment growth and Gross employment creation and destruction by province and territory for each firm-size class from the Longitudinal Employment Analysis Program.
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Private businesses in the United States fired -33 thousand workers in June of 2025 compared to 29 thousand in May of 2025. This dataset provides the latest reported value for - United States ADP Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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The Employment Sector, a sector attached to the Ministry of Employment and Social Solidarity (MESS), makes forecasts of the labour market every year in the medium (five years) and in the long term (ten years). These forecasts cover employment by industry and occupation, as well as labour market participation and unemployment. They are based on medium and long-term economic forecasts from the Conference Board of Canada (cBDC), including those for household consumption, government spending, private and public investments, exports and imports, and exports, and imports, and exchange rate trends. If the economic growth observed during the forecast period is different from that expected by the cBDC, the evolution of employment could thus differ from what the Employment Sector foresees in its forecasts.
Number of employees by North American Industry Classification System (NAICS) and type of employee, last 5 years.
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Graph and download economic data for All Employees, Service-Providing (SRVPRD) from Jan 1939 to May 2025 about establishment survey, employment, industry, and USA.
Following the identification of a minor error, the Economic Estimates: Employment in the Digital Sector, April 2023 to March 2024 data tables have been corrected and republished.
Employment in the Digital Sector decreased between the 2022/23 and 2023/24 financial years (between April and the following March), compared to a small amount of employment growth in the UK overall over the same period.
Employment in the Digital Sector during the 2023/24 financial year was approximately 1.8 million filled jobs. This suggests that there has been a 3.4% reduction in employment in the Digital Sector (which includes the Telecommunications Sector) since the 2022/23 financial year (1.9 million filled jobs), reducing back to levels seen in the 2021/22 financial year (1.8 million filled jobs). By comparison, employment in the UK overall increased by 0.4% between the 2022/23 and 2023/24 financial years.
Employment in the Telecommunications Sector was unchanged between the 2022/23 and 2023/24 financial years, with approximately 179,000 filled jobs in the sector in both periods.
The Digital Sector accounted for a slightly lower proportion of the UK’s filled jobs during the 2023/24 financial year (5.4%) than in the prior 2022/23 financial year (5.6%). The Telecommunications Sector accounted for a similar proportion of the UK’s filled jobs in both the 2022/23 and 2023/24 financial years (0.5%).
In the 2023/24 financial year, the ‘Computer programming, consultancy and related activities’ subsector contributed the majority of filled jobs in the Digital Sector (56.1%). In the 2023/24 financial year, the Telecommunications Sector contributed 9.8% of the filled jobs in the Digital Sector.
In the 2023/24 financial year, the proportions of filled jobs held by women (30.2%) and disabled people (14.2%) in the Digital Sector were smaller than the proportions of filled jobs held by these groups in the UK overall (48.0% and 17.4%, respectively).
In the 2023/24 financial year, the proportion of filled jobs held by individuals with degree level (or equivalent) education in the Digital Sector (63.5%) was larger than the proportion of filled jobs held by this group in the UK overall (43.6%).
12 September 2024
Since the publication of our most recent employment statistics, the ONS has carried out analysis to assess the impact of falling sample sizes on the quality of Annual Population Survey (APS) estimates. Due to the ongoing challenges with response rates, response levels and weighting, the accreditation of ONS statistics based on the Annual Population Survey (APS) was temporarily suspended on 9 October 2024. Because of the increased volatility of both Labour Force Survey (LFS) and APS estimates, the ONS advises that estimates produced using these datasets should be treated with additional caution.
ONS statistics based on both the APS and LFS will be considered Official Statistics in Development until further review. We are reviewing the quality of our estimates and will update users about the accreditation of DSIT Digital Sector Economic Estimates for Employment if this changes.
This is a continuation of the ‘Economic Estimates: Employment in the Digital Sector’ series, previously produced by the Department for Culture, Media and Sport (DCMS). Responsibility for Digital policy now sits with the Department for Science, Innovation and Technology (DSIT).
Employment estimates within this release are Accredited Official Statistics, used to provide an estimate of the number of filled jobs in the Digital
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Graph and download economic data for All Employees, Government (USGOVT) from Jan 1939 to Jun 2025 about establishment survey, government, employment, and USA.
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The global job search engines market is poised for significant growth, with a market size projected to expand from $2.3 billion in 2023 to approximately $4.9 billion by 2032, reflecting a compound annual growth rate (CAGR) of 8.8%. This growth is driven by an increasing reliance on digital platforms for job searching and recruitment processes, which offer more efficient, comprehensive, and accessible options for both job seekers and employers. The integration of advanced technologies such as artificial intelligence and machine learning into job search platforms is enhancing the user experience by providing personalized job recommendations and improving matching accuracy, thus driving market growth. Moreover, the global workforce's shift towards more flexible and remote working arrangements has fueled the demand for digital job search solutions, further propelling the market forward.
One of the primary growth factors of the job search engines market is the rapid digital transformation across industries. As organizations increasingly adopt digital tools to streamline their operations, the recruitment process has also undergone a significant transformation. Job search engines facilitate this transition by enabling employers to reach a broader candidate pool and job seekers to access numerous employment opportunities efficiently. Furthermore, the increasing internet penetration and smartphone adoption globally have made these platforms more accessible, especially in emerging economies. The convenience and speed offered by job search engines compared to traditional recruitment methods have significantly contributed to their widespread adoption. These platforms not only save time for both parties involved but also reduce costs associated with hiring processes.
Another crucial factor contributing to market growth is the rising demand for skilled labor in specialized fields. Industries such as IT, healthcare, and engineering are experiencing a surge in demand for qualified professionals, driven by technological advancements and industry-specific developments. Job search engines have become invaluable tools in bridging the gap between talent demand and supply. They provide a platform for job seekers to showcase their skills and for employers to find the right candidates with the necessary expertise. The ability of these platforms to leverage data analytics and artificial intelligence to match candidates with appropriate job opportunities enhances their value proposition and drives their adoption across various industry verticals.
Furthermore, the evolving nature of the global workforce is a significant growth driver for the job search engines market. The shift towards gig economy and freelance work is reshaping how individuals pursue career opportunities. Job search platforms have adapted to this trend by offering features tailored to freelancers and gig workers, such as project-based listings and flexible job options. This shift is particularly pronounced among younger generations who prioritize work-life balance and flexibility over traditional employment models. As a result, job search engines have expanded their offerings to cater to this growing segment of the workforce, further fueling market growth. The ability of these platforms to cater to diverse employment needs makes them indispensable in today's dynamic job market.
Crawler Based Search Engine technology plays a pivotal role in enhancing the efficiency and reach of job search engines. These search engines utilize automated bots, known as crawlers, to systematically browse the web and index job listings from various sources. This approach ensures that job seekers have access to a comprehensive database of employment opportunities, which is continuously updated as new listings become available. By leveraging crawler technology, job search platforms can offer a more extensive range of job postings, providing users with a greater selection of potential career paths. This capability is particularly beneficial in industries with high turnover rates or rapidly changing job markets, where timely access to new listings is crucial for both job seekers and employers.
Regionally, North America remains a dominant player in the job search engines market, primarily due to the high adoption rate of digital recruitment solutions and the presence of key market players in the region. The robust technological infrastructure and high internet penetration further bolster the market's growth in North America. However, Asia Pacific is expected to
Goal 8Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allTarget 8.1: Sustain per capita economic growth in accordance with national circumstances and, in particular, at least 7 per cent gross domestic product growth per annum in the least developed countriesIndicator 8.1.1: Annual growth rate of real GDP per capitaNY_GDP_PCAP: Annual growth rate of real GDP per capita (%)Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectorsIndicator 8.2.1: Annual growth rate of real GDP per employed personSL_EMP_PCAP: Annual growth rate of real GDP per employed person (%)Target 8.3: Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial servicesIndicator 8.3.1: Proportion of informal employment in total employment, by sector and sexSL_ISV_IFEM: Proportion of informal employment, by sector and sex (ILO harmonized estimates) (%)Target 8.4: Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the leadIndicator 8.4.1: Material footprint, material footprint per capita, and material footprint per GDPEN_MAT_FTPRPG: Material footprint per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollar)EN_MAT_FTPRPC: Material footprint per capita, by type of raw material (tonnes)EN_MAT_FTPRTN: Material footprint, by type of raw material (tonnes)Indicator 8.4.2: Domestic material consumption, domestic material consumption per capita, and domestic material consumption per GDPEN_MAT_DOMCMPT: Domestic material consumption, by type of raw material (tonnes)EN_MAT_DOMCMPG: Domestic material consumption per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollars)EN_MAT_DOMCMPC: Domestic material consumption per capita, by type of raw material (tonnes)Target 8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal valueIndicator 8.5.1: Average hourly earnings of employees, by sex, age, occupation and persons with disabilitiesSL_EMP_EARN: Average hourly earnings of employees by sex and occupation (local currency)Indicator 8.5.2: Unemployment rate, by sex, age and persons with disabilitiesSL_TLF_UEM: Unemployment rate, by sex and age (%)SL_TLF_UEMDIS: Unemployment rate, by sex and disability (%)Target 8.6: By 2020, substantially reduce the proportion of youth not in employment, education or trainingIndicator 8.6.1: Proportion of youth (aged 15–24 years) not in education, employment or trainingSL_TLF_NEET: Proportion of youth not in education, employment or training, by sex and age (%)Target 8.7: Take immediate and effective measures to eradicate forced labour, end modern slavery and human trafficking and secure the prohibition and elimination of the worst forms of child labour, including recruitment and use of child soldiers, and by 2025 end child labour in all its formsIndicator 8.7.1: Proportion and number of children aged 5–17 years engaged in child labour, by sex and ageSL_TLF_CHLDEC: Proportion of children engaged in economic activity and household chores, by sex and age (%)SL_TLF_CHLDEA: Proportion of children engaged in economic activity, by sex and age (%)Target 8.8: Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employmentIndicator 8.8.1: Fatal and non-fatal occupational injuries per 100,000 workers, by sex and migrant statusSL_EMP_FTLINJUR: Fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)SL_EMP_INJUR: Non-fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)Indicator 8.8.2: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation, by sex and migrant statusSL_LBR_NTLCPL: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislationTarget 8.9: By 2030, devise and implement policies to promote sustainable tourism that creates jobs and promotes local culture and productsIndicator 8.9.1: Tourism direct GDP as a proportion of total GDP and in growth rateST_GDP_ZS: Tourism direct GDP as a proportion of total GDP (%)Target 8.10: Strengthen the capacity of domestic financial institutions to encourage and expand access to banking, insurance and financial services for allIndicator 8.10.1: (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adultsFB_ATM_TOTL: Number of automated teller machines (ATMs) per 100,000 adultsFB_CBK_BRCH: Number of commercial bank branches per 100,000 adultsIndicator 8.10.2: Proportion of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service providerFB_BNK_ACCSS: Proportion of adults (15 years and older) with an account at a financial institution or mobile-money-service provider, by sex (% of adults aged 15 years and older)Target 8.a: Increase Aid for Trade support for developing countries, in particular least developed countries, including through the Enhanced Integrated Framework for Trade-related Technical Assistance to Least Developed CountriesIndicator 8.a.1: Aid for Trade commitments and disbursementsDC_TOF_TRDCMDL: Total official flows (commitments) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBMDL: Total official flows (disbursement) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBML: Total official flows (disbursement) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)DC_TOF_TRDCML: Total official flows (commitments) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)Target 8.b: By 2020, develop and operationalize a global strategy for youth employment and implement the Global Jobs Pact of the International Labour OrganizationIndicator 8.b.1: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategySL_CPA_YEMP: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategy
This statistic shows the leading job-growth sectors in the United States between 2018 and 2028, ranked by the number of jobs forecast to be created over this period. It is estimated that around ***** million new jobs will be created in the health care and social assistance sector during this time period.