Job Offers in the United States decreased to 7437 Thousand in June from 7712 Thousand in May 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.

Abstract copyright UK Data Service and data collection copyright owner.BackgroundThe Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The Annual Population Survey, also held at the UK Data Archive, is derived from the LFS.The LFS was first conducted biennially from 1973-1983, then annually between 1984 and 1991, comprising a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter. From 1992 it moved to a quarterly cycle with a sample size approximately equivalent to that of the previous annual data. Northern Ireland was also included in the survey from December 1994. Further information on the background to the QLFS may be found in the documentation.The UK Data Service also holds a Secure Access version of the QLFS (see below); household datasets; two-quarter and five-quarter longitudinal datasets; LFS datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.LFS DocumentationThe documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned (the latest questionnaire available covers July-September 2022). Volumes are updated periodically, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.LFS response to COVID-19From April 2020 to May 2022, additional non-calendar quarter LFS microdata were made available to cover the pandemic period. The first additional microdata to be released covered February to April 2020 and the final non-calendar dataset covered March-May 2022. Publication then returned to calendar quarters only. Within the additional non-calendar COVID-19 quarters, pseudonymised variables Casenop and Hserialp may contain a significant number of missing cases (set as -9). These variables may not be available in full for the additional COVID-19 datasets until the next standard calendar quarter is produced. The income weight variable, PIWT, is not available in the non-calendar quarters, although the person weight (PWT) is included. Please consult the documentation for full details.Occupation data for 2021 and 2022 data filesThe ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.2024 ReweightingIn February 2024, reweighted person-level data from July-September 2022 onwards were released. Up to July-September 2023, only the person weight was updated (PWT23); the income weight remains at 2022 (PIWT22). The 2023 income weight (PIWT23) was included from the October-December 2023 quarter. Users are encouraged to read the ONS methodological note of 5 February, Impact of reweighting on Labour Force Survey key indicators: 2024, which includes important information on the 2024 reweighting exercise.End User Licence and Secure Access QLFS dataTwo versions of the QLFS are available from UKDS. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes country and Government Office Region geography, 3-digit Standard Occupational Classification (SOC) and 3-digit industry group for main, second and last job (from July-September 2015, 4-digit industry class is available for main job only).The Secure Access version contains more detailed variables relating to:age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent childfamily unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of familynationality and country of originfiner detail geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district, and other categories;health: including main health problem, and current and past health problemseducation and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeshipsindustry: including industry, industry class and industry group for main, second and last job, and industry made redundant fromoccupation: including 5-digit industry subclass and 4-digit SOC for main, second and last job and job made redundant fromsystem variables: including week number when interview took place and number of households at addressother additional detailed variables may also be included.The Secure Access datasets (SNs 6727 and 7674) have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements. Latest edition informationFor the fifth edition (October 2022), variable HEALTH20 was added to the dataset. Main Topics:The QLFS questionnaire comprises a 'core' of questions which are included in every survey, together with some 'non-core' questions which vary from quarter to quarter.The questionnaire can be split into two main parts. The first part contains questions on the respondent's household, family structure, basic housing information and demographic details of household members. The second part contains questions covering economic activity, education and health, and also may include a few questions asked on behalf of other government departments (for example the Department for Work and Pensions and the Home Office). Until 1997, the questions on health covered mainly problems which affected the respondent's work. From that quarter onwards, the questions cover all health problems. Detailed questions on income have also been included in each quarter since 1993. The basic questionnaire is revised each year, and a new version published, along with a transitional version that details changes from the previous year's questionnaire. Four sampling frames are used. See documentation for details.

Peru Number of Job Postings: New: Finance and Insurance data was reported at 262.000 Unit in 28 Apr 2025. This records a decrease from the previous number of 271.000 Unit for 21 Apr 2025. Peru Number of Job Postings: New: Finance and Insurance data is updated weekly, averaging 1.000 Unit from Jan 2008 (Median) to 28 Apr 2025, with 904 observations. The data reached an all-time high of 1,032.000 Unit in 07 Nov 2022 and a record low of 0.000 Unit in 24 Aug 2020. Peru Number of Job Postings: New: Finance and Insurance data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s Peru – Table PE.RL.JP: Number of Job Postings: New: by Industry.

Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Central West data was reported at 9,690,055.041 Person in 22 Aug 2020. This records an increase from the previous number of 9,674,955.316 Person for 15 Aug 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Central West data is updated daily, averaging 9,690,055.041 Person from May 2020 (Median) to 22 Aug 2020, with 15 observations. The data reached an all-time high of 9,805,848.543 Person in 06 Jun 2020 and a record low of 9,593,645.792 Person in 23 May 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Central West data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBA001: Continuous National Household Sample Survey: Weekly.

The UK Data Service also holds a Secure Access version of the QLFS (see below); household datasets; two-quarter and five-quarter longitudinal datasets; LFS datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.

LFS Documentation
The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned (the latest questionnaire available covers July-September 2022). Volumes are updated periodically, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.

LFS response to COVID-19

From April 2020 to May 2022, additional non-calendar quarter LFS microdata were made available to cover the pandemic period. The first additional microdata to be released covered February to April 2020 and the final non-calendar dataset covered March-May 2022. Publication then returned to calendar quarters only. Within the additional non-calendar COVID-19 quarters, pseudonymised variables Casenop and Hserialp may contain a significant number of missing cases (set as -9). These variables may not be available in full for the additional COVID-19 datasets until the next standard calendar quarter is produced. The income weight variable, PIWT, is not available in the non-calendar quarters, although the person weight (PWT) is included. Please consult the documentation for full details.

Occupation data for 2021 and 2022 data files

The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.

2024 Reweighting

In February 2024, reweighted person-level data from July-September 2022 onwards were released. Up to July-September 2023, only the person weight was updated (PWT23); the income weight remains at 2022 (PIWT22). The 2023 income weight (PIWT23) was included from the October-December 2023 quarter. Users are encouraged to read the ONS methodological note of 5 February, Impact of reweighting on Labour Force Survey key indicators: 2024, which includes important information on the 2024 reweighting exercise.

End User Licence and Secure Access QLFS data

Two versions of the QLFS are available from UKDS. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes country and Government Office Region geography, 3-digit Standard Occupational Classification (SOC) and 3-digit industry group for main, second and last job (from July-September 2015, 4-digit industry class is available for main job only).

The Secure Access version contains more detailed variables relating to:

• age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child
• family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family
• nationality and country of origin
• finer detail geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district, and other categories;
• health: including main health problem, and current and past health problems
• education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships
• industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from
• occupation: including 5-digit industry subclass and 4-digit SOC for main, second and last job and job made redundant from
• system variables: including week number when interview took place and number of households at address
• other additional detailed variables may also be included.

The Secure Access datasets (SNs 6727 and 7674) have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.

Latest edition information

For the fifth edition (October 2022), variable HEALTH20 was added to the dataset.

Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work data was reported at 122,246,066.358 Person in 22 Aug 2020. This records an increase from the previous number of 122,055,244.483 Person for 15 Aug 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work data is updated daily, averaging 122,025,116.179 Person from May 2020 (Median) to 22 Aug 2020, with 15 observations. The data reached an all-time high of 122,246,066.358 Person in 22 Aug 2020 and a record low of 120,610,565.790 Person in 16 May 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBA001: Continuous National Household Sample Survey: Weekly.

No of Job Postings: Active: Wholesale Trade data was reported at 43.000 Unit in 14 Apr 2025. This records a decrease from the previous number of 44.000 Unit for 07 Apr 2025. No of Job Postings: Active: Wholesale Trade data is updated weekly, averaging 0.000 Unit from Jan 2008 (Median) to 14 Apr 2025, with 902 observations. The data reached an all-time high of 62.000 Unit in 03 Feb 2025 and a record low of 0.000 Unit in 31 Aug 2020. No of Job Postings: Active: Wholesale Trade data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s El Salvador – Table SV.RL.JP: Number of Job Postings: Active: by Industry.

The Labour Force Survey provides estimates of employment and unemployment which are among the timeliest and important measures of performance of the Canadian economy. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these. LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, wage rates, union status, job permanency and workplace size are also produced. These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Employment and Social Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector. Note: Because missing values are removed from this dataset, any form of non-response (e.g. valid skip, not stated) or don't know/refusal cannot be coded as a missing. The "Sysmiss" label in the Statistics section indicates the number of non-responding records for each variable, and the "Valid" values in the Statistics section indicate the number of responding records for each variable. The total number of records for each variable is comprised of both the sysmiss and valid values. LFS revisions: LFS estimates were previously based on the 2001 Census population estimates. These data have been adjusted to reflect 2006 Census population estimates and were revised back to 1996. The census metropolitan area (CMA) variable has been expanded from the three largest CMAs in Canada to nine. Two occupation variables based on the 2016 National Occupation Classicifcation have been reintroduced: a generic 10- category variable (NOC_10) and a detailed 40-category variable (NOC_40). A new variable on immigrant status (IMMIG) has been introduced, which distingushes between recent immigrants and established immigrants. Fourteen variables related to family and spouse/partner's labour force characteristics have been removed, as well as eight out of date variables which have been removed from the record layout.

Analysis of ‘Loss of Work Due to Illness from COVID-19’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/aff30812-e69e-42c9-9724-88083a583fac on 26 January 2022.

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

The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of loss of work due to illness with coronavirus for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included a question about the inability to work due to being sick or having a family member sick with COVID-19. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor work-loss days and work limitations in the United States. For example, in 2018, 42.7% of adults aged 18 and over missed at least 1 day of work in the previous year due to illness or injury and 9.3% of adults aged 18 to 69 were limited in their ability to work or unable to work due to physical, mental, or emotional problems. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who did not work for pay at a job or business, at any point, in the previous week because either they or someone in their family was sick with COVID-19. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/work.htm#limitations

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

In the three months to July 2025, there were approximately 718,000 job vacancies in the UK, the fewest number of job vacancies since April 2021. The number of job vacancies in the United Kingdom reached a record high of 1.3 million in the three months to May 2022, with the number of vacancies steadily falling since then. During the provided time period, the number of job vacancies fell to its lowest levels in the months leading to June 2020, at just 328,000, at the height of COVID-19 restrictions. Tight labor market beginning to loosen After weathering the economic storm of COVID-19, the UK labor market has been reasonably healthy since 2021. The unemployment rate, which reached 5.1 percent in late 2020, declined in the following months, to a post-pandemic low of 3.5 percent by August 2022. Since that point, however, the unemployment rate has crept up, and was 4.4 percent in November 2024. Resignations have also started to decline, after reaching a peak of 442,000 in the second quarter of 2022, there were just 181,000 in the third quarter of 2024. Which industries are experiencing staff shortages? The percentage of businesses reporting a staff shortage in the UK reached 15.7 percent in September 2022, before falling to just 9.7 percent by October 2023, another indication of a loosening labor market. According to data from that month, approximately 1 in 4 UK businesses in the accommodation and food services had a shortage of staff, the highest of any sector, followed by human health and social work at 18.4 percent, and manufacturing at 17.6 percent. Many of the recent struggles of Britain's National Health Service are directly related to staff shortages, with the public seeing a shortage of doctors and nurses, and overworked staff as some of the main problems facing the NHS.

The Career Plans 2019-2020 Survey was conducted among students who graduated from Mason in August and December and May of the selected academic year, e.g., August 2019, December 2019, and May 2020 for the academic year 2019-2020.

The full survey was administered to all graduates online and additional data were collected via individual phone calls and reviews of students' online social media profiles (e.g., LinkedIn) to determine the career outcome rate. A separate survey is conducted each semester at time of graduation and each survey is open for 6 months.

Total Number of Degrees: 9346 Total Number of Students: 9306 Number of Responses: 4276 (Survey Responses: N=2259, LinkedIn: N=1273, Clearinghouse: N=744) Number of Non-respondents: 5030

Liechtenstein Number of Job Postings: Removed: Manufacturing data was reported at 16.000 Unit in 14 Apr 2025. This records a decrease from the previous number of 29.000 Unit for 07 Apr 2025. Liechtenstein Number of Job Postings: Removed: Manufacturing data is updated weekly, averaging 0.000 Unit from Jan 2008 (Median) to 14 Apr 2025, with 902 observations. The data reached an all-time high of 229.000 Unit in 02 May 2022 and a record low of 0.000 Unit in 31 Aug 2020. Liechtenstein Number of Job Postings: Removed: Manufacturing data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s Liechtenstein – Table LI.RL.JP: Number of Job Postings: Removed: by Industry.

Non Farm Payrolls in the United States increased by 73 thousand in July 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.

Active position information for the City of Greensboro. The dataset contains position current status, position title, and mid-range pay for the position.City of Greensboro FY 2019-2020 Executive and General Salary Structures Effective September 01, 2019 through August 31, 2020City of Greensboro FY2019-2020 Fire Sworn Salary Structure Effective July 1, 2019 through November 30, 2020The City of Greensboro currently employs more than 3,500 people in a wide variety of jobs. We are proud to offer administrative positions, public safety jobs, technical careers, trades work, and more. We hire for all jobs based on qualifications, knowledge, skills, and abilities.The City of Greensboro appreciates our skilled and qualified workforce. We offer a competitive and generous benefits and compensation package.The City of Greensboro is an equal opportunity, affirmative action employer. (Read more about the City's Diversity and Inclusion program.) Additionally, the City is committed to a family-friendly and drug-free work place environment.Our Mission Statement Maximizing service excellence through human capital management.BenefitsAre you are an employee or are you are interested in employment with the City of Greensboro? Learn more about our benefits by viewing the latest Benefits Book.Careers If you are interested in a career with the City of Greensboro, please go to iApplyGreensboro to see current vacant positions. Read more about the application process. Top Requested DocumentsOverview of the City of Greensboro Total Compensation Program (with links to the executive and general, fire, and police pay structures)Benefits Book Job DescriptionsPolicy Manual

Trinidad and Tobago Number of Job Postings: Active: Health Care and Social Assistance data was reported at 9.000 Unit in 05 May 2025. This stayed constant from the previous number of 9.000 Unit for 28 Apr 2025. Trinidad and Tobago Number of Job Postings: Active: Health Care and Social Assistance data is updated weekly, averaging 0.000 Unit from Jan 2008 (Median) to 05 May 2025, with 905 observations. The data reached an all-time high of 339.000 Unit in 10 Jul 2023 and a record low of 0.000 Unit in 03 Aug 2020. Trinidad and Tobago Number of Job Postings: Active: Health Care and Social Assistance data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.RL.JP: Number of Job Postings: Active: by Industry.

A survey of 1,500 NSW workers during August and September 2020 (2020 Remote Working Survey) and March and April 2021 (2021 Remote Working Survey), commissioned to understand workers' experiences of and attitudes to remote and hybrid working. To be eligible, respondents had to be employed NSW residents with experience of remote working in their current job. After accounting for unemployed people and those whose jobs cannot be done remotely—for example, dentists, cashiers and cleaners—the sample represents around 59 per cent of NSW workers. Workers answered questions on: • their attitudes to remote working • the amount of time they spent working remotely • their employers’ policies, practices, and attitudes • how they spent their time when working remotely • how barriers to remote working have changed • the barriers they faced to hybrid working • their expectations for future remote working

In February 2025, the number of job losers and persons who completed temporary jobs in the United States stood at about 3.3 million and is used when analyzing non-seasonal trends. The monthly unemployment rate can be found here.