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TwitterIn the United States, there were about eight million job openings on the last business day of July 2025. The job openings rate was 4.3 percent that month. 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.
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View monthly updates and historical trends for US Job Openings Rate: Total Nonfarm. from United States. Source: Bureau of Labor Statistics. Track economic…
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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.
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TwitterIn 2024, the U.S. employment rate stood at 60.1 percent. 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 employment-population ratio represents the proportion of the civilian non-institutional population that is employed. The monthly unemployment rate for the United States can be found here.
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An AI-powered workforce for 2030 is predicted in the dataset. Four columns are present in it: - Domain: The IT domain name is contained in this field as a string (text data). - Type of data: Text or VARCHAR - Job Title: This column is a string (text data) that lists job titles pertaining to the IT domain. - Type of data: Text or VARCHAR - Growth Anticipated by 2030: This column shows the anticipated rate of job growth expressed as a percentage; because it includes a percentage symbol (such as "120%"), it is also a string. (to accommodate growth percentages such as "150%") - Data type: VARCHAR(5)
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39.8% of workers from the Indian ethnic group were in 'professional' jobs in 2021 – the highest percentage out of all ethnic groups in this role.
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Job Vacancy Rate In the Euro Area decreased to 2.10 percent in the third quarter of 2025 from 2.30 percent in the second quarter of 2025. This dataset includes a chart with historical data for Euro Area Job Vacancy Rate.
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A job vacancy is defined as a newly created, unoccupied, or about to become vacant, post. The job vacancy rate (JVR) measures the proportion of total posts that are vacant expressed as a percentage as follows: JVR = number of job vacancies * 100 / (number of occupied posts + number of job vacancies). Data for France and Italy are available in table jvs_q_nace2.
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Employment Rate in Norway increased to 69.80 percent in October from 69 percent in September of 2025. This dataset provides - Norway Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Job Quits Rate in the United States decreased to 1.90 percent in August from 2 percent in July of 2025. This dataset includes a chart with historical data for the United States Job Quits Rate.
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TwitterIn 2024, the employment rate for men in the United States stood at 65.2 percent, reflecting a slight decrease from the previous year. Despite continued growth, the employment rate of men has yet to return to pre-pandemic levels. The monthly figure of full-time employees in the U.S. can be accessed here.
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TwitterNumber of job vacancies and payroll employees, job vacancy rate, and average offered hourly wage by province and territory, last 5 quarters.
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TwitterNumber of job vacancies and payroll employees, and job vacancy rate by two-digit North American Industry Classification System (NAICS) code, last 5 months.
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This dataset provides values for EMPLOYMENT RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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Job Vacancy Rate in Ireland remained unchanged at 1.30 percent in the second quarter of 2025 from 1.30 percent in the first quarter of 2025. This dataset includes a chart with historical data for Ireland Job Vacancy Rate.
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TwitterIn 2020, an estimated 9.3% of all 16-64 year-olds had a main job in the DCMS Sectors (excl. Tourism.) This compares to 8.9% in 2019 (the period January to December 2019).
Looking at individual sectors, 5.0% of all 16-64 year-olds had a main job in the Creative Industries. This is followed by the Digital Sector (4.0%), Civil Society (2.1%), Cultural Sector (1.5%), Sport (1.1%), Telecoms (0.4%), Gambling (0.2%).
In 2020, an estimated 10.7% of all men aged 16-64, and 8.0% of all women aged 16-64, had a main job in the DCMS Sectors (excl. Tourism).
In 2020, an estimated 14.9% of all London residents aged 16-64 had a main job in the DCMS Sectors (excl. Tourism). The equivalent figure for the South East was 11.4% of residents, and for the East of England, 9.4%. By contrast, 6.4% of all Northern Ireland residents aged 16-64 had a main job in the DCMS Sectors (excl. Tourism).
This estimate is an Experimental Official Statistic used to provide an estimate of the employment contribution of DCMS Sectors to the UK economy.
DCMS normally publishes number of jobs as an estimate of employment. However, this has been postponed pending a re-weighting of the underlying datasets. This employment percentage measure - which looks at the percentage of all 16-64 year-olds with a main job in the DCMS Sectors (excl. Tourism) - are less affected by the re-weighting of the datasets and can therefore continue to be published, https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/bulletins/uklabourmarket/may2021">in line with ONS advice as the dataset owners. Consequently, it has been published as an interim measure to meet user needs for timely employment statistics. The geographic coverage is the whole of the United Kingdom.
It is part of the wider set of Economic Estimates, which together estimate the contribution of DCMS Sectors to the UK economy.
The Economic Estimates statistical series covers the contributions of the following DCMS sectors to the UK economy:
A definition for each sector is available in the accompanying technical document along with details of methods and data limitations.
8 July 2021
DCMS aims to continuously improve the quality of estimates and better meet user needs. DCMS welcomes feedback on this release. Feedback should be sent to DCMS via email at evidence@dcms.gov.uk.
This release is published in accordance with the Code of Practice for Statistics (2018) produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The accompanying pre-release access document lists 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.
Responsible statistician: Rishi Vaidya
For any queries or feedback, please contact evidence@dcms.gov.uk.
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United States JOLTS: Job Openings Rates: sa: NF data was reported at 4.300 % in May 2018. This records a decrease from the previous number of 4.400 % for Apr 2018. United States JOLTS: Job Openings Rates: sa: NF data is updated monthly, averaging 2.800 % from Dec 2000 (Median) to May 2018, with 210 observations. The data reached an all-time high of 4.400 % in Apr 2018 and a record low of 1.700 % in Aug 2009. United States JOLTS: Job Openings Rates: sa: NF 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.G050: Job Openings and Labor Turnover Survey: Job Openings Rate.
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Job Vacancy Rate in Germany decreased to 2.40 percent in the third quarter of 2025 from 2.50 percent in the second quarter of 2025. This dataset includes a chart with historical data for Germany Job Vacancy Rate.
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TwitterIn 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.
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TwitterNumber of job vacancies, labour demand and job vacancy rate by North American Industry Classification System (NAICS), last 5 years.
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TwitterIn the United States, there were about eight million job openings on the last business day of July 2025. The job openings rate was 4.3 percent that month. 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.