11 datasets found
  1. F

    Job Openings: Total Nonfarm

    • fred.stlouisfed.org
    json
    Updated Jul 29, 2025
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    (2025). Job Openings: Total Nonfarm [Dataset]. https://fred.stlouisfed.org/series/JTSJOL
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Job Openings: Total Nonfarm (JTSJOL) from Dec 2000 to Jun 2025 about job openings, vacancy, nonfarm, and USA.

  2. D

    Job Openings and Labor Turnover Survey (JOLTS) BLS

    • datalumos.org
    Updated Apr 24, 2025
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    Leah Whitesel (2025). Job Openings and Labor Turnover Survey (JOLTS) BLS [Dataset]. http://doi.org/10.3886/E227696V2
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    Data Rescue 4/24/25
    Authors
    Leah Whitesel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 2000 - Feb 2025
    Description

    Bureau of Labor Statistics - Job Openings and Labor Turnover Survey (JOLTS) 2000-2025From the BLS:Job Openings and Labor Turnover Survey Overview PageThe Job Openings and Labor Turnover Survey (JOLTS) is a monthly survey that has been developed to address the need for data on job openings, hires, and separations.PurposeThese data serve as demand-side indicators of labor shortages at the national level. Prior to JOLTS, there was no economic indicator of the unmet demand for labor with which to assess the presence or extent of labor shortages in the United States. The availability of unfilled jobs—the job openings rate—is an important measure of the tightness of job markets, parallel to existing measures of unemployment.ScopeData from a sample of approximately 21,000 U.S. business establishments are collected by the Bureau of Labor Statistics through JOLTS Data Collection Centers in Atlanta and Kansas City. The JOLTS survey covers all nonagricultural industries in the public and private sectors for the 50 States and the District of Columbia.Data ElementsJOLTS collects data on Total Employment, Job Openings, Hires, Quits, Layoffs & Discharges, and Other Separations. For more information on the JOLTS data elements, see the JOLTS data definitions page.Reference PeriodsTotal Employment - the pay period that includes the 12th of the month.Job Openings - the last business day of the month.Hires and Separations - the entire calendar month.

  3. Skill Shortages

    • data.gov.au
    • researchdata.edu.au
    html
    Updated Sep 5, 2018
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    Department of Education, Skills and Employment (2018). Skill Shortages [Dataset]. https://data.gov.au/data/dataset/skill-shortages
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    htmlAvailable download formats
    Dataset updated
    Sep 5, 2018
    Dataset provided by
    Department of Education, Skills and Employmenthttp://dese.gov.au/
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Description

    The Department of Jobs and Small Business carries out research to identify skill shortages in the Australian labour market. The research results provide information about skill shortages at the state, territory and/or national level.

  4. Supply of skills for jobs in science and technology

    • gov.uk
    • s3.amazonaws.com
    Updated May 9, 2024
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    Department for Education (2024). Supply of skills for jobs in science and technology [Dataset]. https://www.gov.uk/government/publications/supply-of-skills-for-jobs-in-science-and-technology
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    Dataset updated
    May 9, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    This data release describes:

    • the 2023 STEM workforce
    • multiple growth scenarios for the UK STEM workforce required in 2030
    • common education pathways into STEM jobs

    It also looks specifically at the jobs deemed most important across 5 critical technologies:

    • artificial intelligence
    • engineering biology
    • quantum technologies
    • future telecommunications
    • semiconductors

    Alongside this release, a jobs and skills dashboard has been developed. This allows further analysis of the data, presents the data in an easy to navigate format and provides further data on skills shortages.

  5. DCMS Sectors Skills Shortages and Skills Gaps: 2019

    • gov.uk
    • s3.amazonaws.com
    Updated Jan 20, 2022
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    Department for Digital, Culture, Media & Sport (2022). DCMS Sectors Skills Shortages and Skills Gaps: 2019 [Dataset]. https://www.gov.uk/government/statistics/dcms-sectors-skills-shortages-and-skills-gaps-2019
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    Dataset updated
    Jan 20, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    Headline Findings

    Skills Shortages

    • 21.4% of DCMS Sector vacancies were attributed to skills shortages (i.e. applicants did not have the right skills, qualifications and/or experience), lower than 24.4% for All Sectors.
    • 5.2% of DCMS Sector businesses have at least one skills shortage vacancy, compared with 5.5% of All Sectors.

    Skills Gaps

    • 4.8% of the DCMS Sector workforce had skills gaps (staff judged to be not fully proficient in their role), slightly higher than 4.5% for All Sectors.
    • 13.2% of DCMS Sector businesses have at least one skills gap, the same as for All Sectors (13.2%).

    About this release

    This estimate is an Experimental Official Statistic used to provide an estimate of skills shortages and skills gaps in the DCMS sectors.

    These statistics have been developed in response to the DCMS Outcome Delivery Plan, which includes a skills gap metric. This is the first publication of these statistics and covers the year 2019 (the most recently available data from the Department for Education’s Employer Skills Survey). They cover England, Wales and Northern Ireland but not Scotland; the Scottish Government published their own Employer Skills Survey in 2020.

    Estimates are provided for DCMS sectors, sub-sectors and the Audio Visual sector. Breakdowns are provided by region (excluding Scotland) but disclosure control is applied where sample sizes were too low. The DCMS sectors are:

    • Civil Society
    • Creative Industries
    • Cultural Sector
    • Digital Sector
    • Gambling
    • Sport
    • Telecoms
    • Tourism

    Further information is available in the accompanying technical document along with details of methods and data limitations.

    Release date

    20 January 2022

    Feedback

    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.

    The UK Statistics Authority

    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.

    Pre-release access

    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.

    Contact

    Responsible statistician: Rishi Vaidya

    For any queries or feedback, please contact evidence@dcms.gov.uk.

  6. Share of migrants in labor shortage occupations in the EU 2017-2021

    • ai-chatbox.pro
    • statista.com
    Updated May 29, 2025
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    Statista Research Department (2025). Share of migrants in labor shortage occupations in the EU 2017-2021 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F11864%2Flabor-and-skills-shortages-in-europe%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    May 29, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    European Union
    Description

    Migrants in the European Union constitute a much higher share of occupations in which national authorities have identified a labor shortage than in occupations without labor shortages, as of 2021. Migrants comprised almost 14 percent of the workforce in all labor shortage occupations in the EU that year, while they made up just 8.2 percent of the workforce in non-shortage occupations. Many European governments see increasing targeted labor migration for work in sectors experiencing shortages as a key way of relieving the widespread labor and skills shortages being experience across the continent.

  7. i

    BLES Integrated Survey 2007-2008 - Philippines

    • dev.ihsn.org
    • catalog.ihsn.org
    • +1more
    Updated Apr 25, 2019
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    Bureau of Labor and Employment Statistics (2019). BLES Integrated Survey 2007-2008 - Philippines [Dataset]. https://dev.ihsn.org/nada/catalog/73016
    Explore at:
    Dataset updated
    Apr 25, 2019
    Dataset authored and provided by
    Bureau of Labor and Employment Statistics
    Time period covered
    2008 - 2009
    Area covered
    Philippines
    Description

    Abstract

    Initiated in 2003, the BITS is a modular survey that integrates the data requirements on employment, industrial relations, occupational injuries and diseases and labor cost that used to be collected by the BLES through independent surveys such as Survey on Specific Groups of Workers (SSGW), Employment, Hours and Earnings Survey (EHES), Industrial Relations at the Workplace Survey (IRWS), Occupational Injuries Survey (OIS) and Labor Cost Survey (LCS). Each round of the BITS covers different aspects of employment and establishment practices. The inquiry on occupational injuries and diseases is a regular feature while that on labor cost is undertaken on a less frequent basis.

    The main objective of this survey is to generate an integrated data set on employment of specific groups of workers, occupational shortages and surpluses, safety and health practices, occupational injuries and diseases and labor cost of employees. These data are inputs to studies on industry trends and practices and serve as bases for the formulation of policies on employment, conditions of work and industrial relations. To some extent, the survey results will also be used to assess the progress of decent work in the country.

    Note: Refer to Field Operations Manual, Chapter 2.1

    Geographic coverage

    National coverage, 17 administrative regions

    Analysis unit

    The statistical unit is the establishment. Each unit is classified to an industry that reflects its main economic activity---the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.

    Note: Refer to Field Operations Manual, Chapter 2.5.1

    Universe

    The BITS covers establishments in 65 non-agricultural industries with an average total employment of at least 20 persons. The following industries are excluded from the survey: Agriculture, Hunting and Forestry; Fishing; National Postal Activties; Central Banking; Public Administration and Defense and Compulsory Social Security (e.g., DOLE, PNP, SSS, GSIS); Public Education Services; Public Medical, Dental and Other Health Services; Activities of Membership Organizations, n.e.c. (e.g., ECOP, TUCP); Extra-Territorial Organizations and Bodies (e.g., ILO, UNDP).

    Note: Refer to Field Operations Manual, 2008 Occupational Wages Survey and 2007/2008 BLES Integrated Survey Chapter 2.4

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Statistical Unit: The establishment is the statistical or enumeration unit. Each unit is classified in an industry that reflects its main economic activity---the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.

    Sampling Frame: The 2008 BLES Survey Sampling Frame (SSF2008) is an integrated list of establishments culled from the 2006 List of Establishments of the National Statistics Office; and updated 2006 BLES Sampling Frame based on the status of establishments reported in the 2006 BLES Integrated Survey and 2006 Occupational Wages Survey. Lists of Establishments from the Department of Trade and Industry (DTI) and Philippine Chamber of Commerce and Industries (PCCI) were also considered in preparing the 2008 frame.

    Stratification Scheme: Establishments in the sampling frame were stratified by 3-digit industry (domain) and by employment size (stratum), i.e., 20-99, 100-199 and 200 and over. However, industries observed to be heterogeneous within their 3-digit classification were further broken down at the 4, 5 or 6-digit levels. Geographical location was not considered in the stratification to allow for detailed industry groupings.

    Sample Size: The number of establishment covered was 6,460.

    Note: Refer to Field Operations Manual, Chapter 2.5

    Sampling deviation

    Not all of the fielded questionnaires are accomplished. Due to the inadequacy of the frame used , there are reports of permanent closures, non-location, duplicate listing and shifts in industry and employment outside the survey coverage. Establishments that fall in these categories are not eligible elements of the frame and their count is not considered in the estimation. Non-respondents are made up of refusals, strikes or temporary closures and those establishments whose questionnaires contain inconsistent item responses and have not replied to the verification queries by the time output table generation commences. Respondents are post-stratified as to geographic, industry and employment size classifications. Non-respondents are retained in their classifications.

    Note: Refer to Survey Metadata

    Mode of data collection

    Other [oth], mixed method: self-accomplished, mailed and face-to-face

    Research instrument

    The survey questionnaire has been designed to capture the key data requirements on labor statistics from establishments that used to be collected in previous surveys of the BLES.

    Cover Page This contains the address box, contact particulars for assistance, spaces for changes in the name and location of sample establishment and for head office information in case the questionnaire is endorsed to it and status codes of the establishment to be accomplished by BLES and its field personnel.

    Survey Information This contains the survey objectives and uses of the data, confidentiality clause, collection authority, authorized field personnel, coverage, reference periods, due date for accomplishment and expected date when the results of the 2007/2008 BITS would be available.

    Part I: General Information This portion inquires on: · main economic activity · major products/goods or services · establishment characteristics as to ownership · unionism and membership, and existence and coverage of collective bargaining agreement/s · participation in global production network · type of market for business process outsourcing

    Part II: Employment This section requires data on total employment and its breakdown into working owners, unpaid workers and employees (managers/executives, supervisors/foremen and rank and file: regular and non-regular workers). It also looks into the employment of specific groups of workers, number of agency-hired workers and the types of jobs contracted out.

    Part III: Occupational Shortages and Surpluses This portion inquires on the number of job vacancies, hard-to-fill occupations, difficulties encountered in recruitment, requirements in filling-up of job vacancies, vacant positions that are easy to fill, methods adapted in filling-up of vacancy, total recruitment cost and methods used in rating the applicants in terms of acquired traits.

    Part IV: Safety and Health Practices This part inquires on the safety and health practices of persons at work, as well as on the protection of other individuals against risk to their safety and health in connection with or as affected by activities of persons at work. The safety and health practices may be in the form of facilities, occupational health programs/services, preventive and control measures, trainings and seminars.

    Part V: Occupational Injuries and Diseases This inquires on the incidence of occupational accidents, cases of occupational injuries and lost workdays by incapacity for work (fatal, permanent, temporary), cases without lost workdays, cases of occupational diseases, incidence of commuting accidents, workers injured and hours actually worked by all employed persons. It also inquires on the classifications (type, part of body injured, cause and agent) of the occupational injury cases.

    Part VI: Labor Cost of Employees This section requires data on the reference period if other than the calendar year, labor cost by component and sub-components, hours actually worked by all employees (including instructions on how to estimate) and the percent share of labor cost to total cost.

    Part VII: Certification This portion is provided for the respondent's name/signature, position, telephone no., fax no. and e-mail address and time spent in answering the questionnaire.

    Appropriate spaces are also provided to elicit comments on: · data provided for the 2007/2008 BITS questionnaire · statistics from previous BITS · presentation/packaging, particularly on the definition of terms, layout, font and color.

    Part VIII: Survey Personnel This portion is for the particulars of the enumerators and area/regional supervisors and reviewers at the BLES and DOLE Regional Offices involved in the data collection and review of questionnaire entries.

    Results of the previous BITS The results/statistics of the previous BITS are for information of the establishment. More of the results can be obtained from the BLES Website at http://www.bles.dole.gov.ph.

    Note: Refer to BLES Integrated Survey Questionnaire

    Cleaning operations

    Data are manually and electronically processed. Upon collection of accomplished questionnaires, enumerators perform field editing before leaving the establishments to ensure completeness, consistency and reasonableness of entries in accordance with the field operations manual. The forms are again checked for data consistency and completeness by their field supervisors.

    The BLES personnel undertake the final review, coding of information on classifications used, data entry and validation and scrutiny of aggregated results for coherence. Questionnaires with incomplete or inconsistent entries are returned to the establishments for verification, personally or through mail.

    Microsoft Access is used for data encoding and generation of validation prooflists. After checking accuracy of encoding based on the prooflists, a conversion program using SPSS is executed to generate output tables.

    Note: Refer to

  8. Canadian Occupational Projection System (COPS) - 2024 to 2033 projections

    • open.canada.ca
    csv, html, txt
    Updated Jun 25, 2025
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    Employment and Social Development Canada (2025). Canadian Occupational Projection System (COPS) - 2024 to 2033 projections [Dataset]. https://open.canada.ca/data/en/dataset/e80851b8-de68-43bd-a85c-c72e1b3a3890
    Explore at:
    html, csv, txtAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    Ministry of Employment and Social Development of Canadahttp://esdc-edsc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 2024 - Dec 31, 2033
    Area covered
    Canada
    Description

    Employment and Social Development Canada (ESDC) uses the models of the Canadian Occupational Projection System (COPS) and the National Occupational Classification (NOC, 2021 version) to develop projections of future trends in the numbers of job openings and job seekers by occupation at the national level. The projections allow for identifying those occupations that may face labour shortage or labour surplus conditions over the medium term. The latest projections cover the 2024 to 2033 period. For more information, explore: Canadian Occupational Projections System – ESDC

  9. Employee Survey 2007 - Malaysia

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +2more
    Updated Sep 26, 2013
    + more versions
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    Economic Planning Unit and Department of Statistics, Prime Minister's Department, Malaysia (2013). Employee Survey 2007 - Malaysia [Dataset]. https://microdata.worldbank.org/index.php/catalog/653
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    Dataset updated
    Sep 26, 2013
    Dataset provided by
    World Bankhttp://worldbank.org/
    Economic Planning Unithttp://www.epu.gov.my/
    Time period covered
    2007
    Area covered
    Malaysia
    Description

    Abstract

    Malaysia Employee Survey was conducted as part of 2007 Malaysia Productivity of the Investment Climate Private Enterprise Survey (PICS). The research aimed to capture employees' perspectives on work environment and dynamics. The survey covered 10615 manufacturing workers and 2918 services sector employees.

    Malaysia PICS 2007 was a collaborative effort of the Malaysian Government and the World Bank. The research targeted 1115 businesses working in manufacturing sector and 303 enterprises in services sector.

    The sample for the Employee Survey was randomly selected from establishments participating in Malaysia PICS 2007.

    Overall, PICS 2007 aimed to achieve following objectives: - Benchmark productivity, the investment climate, competitiveness, and growth in Malaysia; - Identify the key constraints to competitiveness as perceived by firms in the manufacturing and selected business support services sectors; - Highlight the key concerns regarding regulatory burden, skills shortages and weak innovation capabilities; - Enable the analysis of firm performance focusing on determining how investment climate constraints affect productivity and job creation in selected sectors.

    Geographic coverage

    National

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sample for the Employee Survey was selected from the establishments covered in 2007 Malaysia Productivity of the Investment Climate Private Enterprise Survey (PICS).

    Ten full-time workers were sampled from each establishment. Workers were interviewed only if the manager of the business did not mind. If the manager had no objections, enumerators asked for a complete list of full-time employees of the establishment from the personnel manager at about the time the human resources module of PICS 2007 was being completed. The personnel manager was asked to choose any one worker from the list. After that enumerators picked employees at fixed regular intervals until a sample of 10 workers was reached. A worker who could not be interviewed was replaced by another randomly chosen employee.

    Malaysia PICS 2007 covered establishments in the manufacturing and business support services sectors. For manufacturing industries, the economic activities were defined according to Divisions under the Malaysia Standard Industrial Classification (MSIC) 2000 (2-digit codes), which is identical to the United Nations Statistical Division's International Standard Industrial Classification of All Economic Activities (ISIC Rev. 3) up to the 4-digit level. In Malaysia PICS 2007, 12 manufacturing industries and 5 business support services sectors were surveyed.

    The sampling frame was extracted from the Central Register of Establishments (SIDAP) maintained by the Department of Statistics, Malaysia. The register was updated using information supplied by the Companies Commission of Malaysia (CCM), Employees Provident Fund (EPF), the 2006 Economic Census data, and several regular surveys or censuses conducted by the Department of Statistics, Malaysia (DOSM).

    For the manufacturing sector, only establishments with more than 10 employees were covered. For the business support services sector, two employment thresholds were used. Only establishments with more than 10 employees were covered for Information Technology, Telecommunications, and Advertising & Marketing, while only establishments with more than 20 employees were covered for Accounting & Related Services and Business Logistics.

    Single-stage stratified systematic sampling was used in drawing samples. The sampling frame was stratified by sector, region, state, and industry. To select the sample, for each sector, establishments within each industry, region and area combination were arranged according to the value of output. Selection was then carried out independently for each sub-stratum based on a linear systematic method.

    Malaysia PICS 2007 covered 6 regions: 4 regions in Peninsular Malaysia and 2 regions in East Malaysia. Within each of the 6 regions, states and areas to be covered were selected based on the concentration of establishments.

    For details on the Malaysia PICS 2007 sampling coverage, sampling methodology and sampling frame, please review "Sampling Methodology of Malaysia PICS 2007" and "Sample Coverage and Distribution of Malaysia PICS 2007" in "Technical Documents" folder.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The following survey instruments are available: - Manufacturing Sector Employee Questionnaire - Business Supporting Servicers Employee Questionnaire.

  10. Share of workforce newly employed in the European Union and Eurozone...

    • ai-chatbox.pro
    • statista.com
    Updated May 29, 2025
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    Statista Research Department (2025). Share of workforce newly employed in the European Union and Eurozone 2002-2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F11864%2Flabor-and-skills-shortages-in-europe%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    May 29, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Europe, European Union
    Description

    The share of the workforce which is newly employed in their current job - that is, they have been in their current job for less than one year - is considered to be an indicator of labor demand from businesses. This indicator tends to follow the business cycles in the wider economy, with more employees being newly employed in times of economic upswing, while fewer people will be newly employed in downturns. In the European Union, the newly employed rate was 14.3 percent, while for the Eurozone it was 15.3 percent - a record high for the time period covered. Labor demand spiked in 2021 and 2022, as economies across Europe re-opened following the COVID-19-related shutdown in 2020.

  11. NHS workforce: number of HCHS doctors leaving 2010-2023

    • statista.com
    Updated Mar 28, 2025
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    Statista Research Department (2025). NHS workforce: number of HCHS doctors leaving 2010-2023 [Dataset]. https://www.statista.com/topics/9575/nhs-staff-shortage/
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    Dataset updated
    Mar 28, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    The number of HCHS doctors leaving generally increased during the period reaching 21,000 leavers in the year 2022/23, the highest reported in the period analyzed, and over a seven percent increase from the figure reported a year earlier.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2025). Job Openings: Total Nonfarm [Dataset]. https://fred.stlouisfed.org/series/JTSJOL

Job Openings: Total Nonfarm

JTSJOL

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42 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jul 29, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for Job Openings: Total Nonfarm (JTSJOL) from Dec 2000 to Jun 2025 about job openings, vacancy, nonfarm, and USA.

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