Job Openings and Labor Turnover Survey data from the U.S. Bureau of Labor Statistics

This layer shows figures of quit rates and quit levels by the US, BLS regions, and states. Data is from the Bureau of Labor Statistics (BLS) and was released October and November of 2021. The layer default symbology highlights to September 2021 quit rate in comparison to the national figure of 3.0%.According to the October 2021 News Release by BLS:"The number of quits increased in August to 4.3 million (+242,000). The quits rate increased to a series high of 2.9 percent. Quits increased in accommodation and food services (+157,000); wholesale trade (+26,000); and state and local government education (+25,000). Quits decreased in real estate and rental and leasing (-23,000). The number of quits increased in the South and Midwest regions."In the following November News Release:"In September, quits rates increased in 15 states and decreased in 10 states. The largest increases in quits rates occurred in Hawaii (+3.8 percentage points), Montana (+1.5 points), as well as Nevada and New Hampshire (+1.1 points each). The largest decreases in quits rates occurred in Kentucky (-1.1 percentage points), Iowa (-1.0 point), and South Dakota (-0.7 point). Over the month, the national quits rate increased (+0.1 percentage point)."Quit rates: The quits rate is the number of quits during the entire month as a percent of total employment.Quit levels: Quits are the number of quits during the entire month.State and US figures: Table 4. Quits levels and rates by industry and region, seasonally adjustedRegion figures: Table 4. Quits levels and rates by industry and region, seasonally adjustedThis data was obtained in October and November 2021, and the months of data from BLS are as follows:August 2020September 2020April 2021 (only offered for Regions)May 2021June 2021July 2021August 2021September 2021 (preliminary values)For the full data release, click here.The states (including the District of Columbia) that comprise the regions are: Northeast: Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and VermontSouth: Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, and West VirginiaMidwest: Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and WisconsinWest: Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming.

The Job Openings and Labor Turnover Survey program provides national estimates of rates and levels for job openings, hires, and total separations. Total separations are further broken out into quits, layoffs and discharges, and other separations.

Graph and download economic data for Quits: Manufacturing (JTS3000QUR) from Dec 2000 to Mar 2025 about quits, manufacturing, and USA.

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.

Graph and download economic data for Quits: Total Nonfarm (JTSQUR) from Dec 2000 to Apr 2025 about quits, nonfarm, and USA.

Graph and download economic data for Quits: Accommodation and Food Services (JTS7200QUR) from Dec 2000 to Apr 2025 about quits, accommodation, food, services, and USA.

The United States' Bureau of Labor Statistics accounted for 16.82 million people working in the hospitality and leisure industry in the U.S. as of December 2023. This figure shows an increase over the previous year. Employment in the U.S. hospitality and leisure industry showed consistent growth since 2009, however, this changed in 2020 where there was a sharp decline due to the coronavirus (COVID-19) pandemic.

Graph and download economic data for Job Openings: Manufacturing (JTS3000JOL) from Dec 2000 to Apr 2025 about job openings, vacancy, manufacturing, and USA.

Abstract

The Labor Turnover Survey (LTS) aims to generate quarterly data on labor turnover as indicators of labor market activity in large business enterprises. The main topics include total accession due to expansion and replacement, as well as employer-initiated and employee-initiated total separation.

The information gathered in this survey is intended to generate timely labor market signals as sound basis in planning, policy formulation and decision making in goverment, business and industry.

Geographic coverage

National capital region

Analysis unit

Enterprise

Universe

The top 25,000 corporations in the Philippines as listed by the Securities and Exchange Commission (SEC).

The universe was limited to the SEC list for two reasons: budget constraints and the decision to come up with manageable sample size that can provide DOLE officials with a quick and timely assessment of the labor market situations on a quarterly basis.

Kind of data

Sample survey data [ssd]

Sampling procedure

The enterprise is the unit of enumeration in the LTS and it has for its sampling domain 18 major industry groups (1-digit) based on the 2009 PSIC. The coverage of the survey was limited to business enterprises in Metro Manila due to budget constraints and in line with the instruction of DOLE officials to conduct a quick/timely assessment of the labor market activity through a sample survey with manageable sample size. Metro Manila accounts for one-third of the country's gross domestic product and about two-thirds of the total large business enterprises in the Philippines.

The sampling frame was extracted from the top 25,000 corporations in the Philippines as compiled by the Securities and Exchange Commission (SEC). The frame contains the names of 15,600 enterprises in Metro Manila listed in order of their gross revenue and sales in 2012.

For LTS 2013, the population size was 15,660. Since the proportion of the initial sample size to the population size is not negligible, a revised estimate of the sample size is obtained to take into account the finite population correction. To ensure the precision of estimates in each domain, the sample size (763) was allocated in each domain using Kish's allocation formula. The sample enterprises in each domain were drawn through simple random sampling.

Sampling deviation

A replacement of a sample enterprise was done when the sampled enterprise fell in one of the following situations during the field operation: cannot be located; refuse to answer; temporarily closed; duplicate of another sample enterprise; permanently closed; or on strike.

Mode of data collection

Other [oth]

Cleaning operations

The data was manually and electronically processed. Upon collection of accomplished questionnaires, enumerators perform field editing before leaving the enterprise to ensure completeness, consistency and reasonableness of entries in accordance with the Field Operations Manual. The forms were again checked for data consistency and completeness by field supervisors. The designated personnel undertook 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 were returned to the establishments for verification, personally or through phone interview.

Sampling error estimates

Not computed.

Data appraisal

The results were validated with the previous year results in particular, the trend and patterns of data distribution across industry.

Results were also checked in terms of their coherence with the results of the National Acounts, i.e, gross domestic product (GDP). It has been observed that the pattern of movement in the LTS data series closely follow that of GDP. This could be because NCR accounted for a sizeable share of GDP. The "rule of thumb" in LTS validation is that a high GDP is associated with a positive turnover rate and vice versa.

Graph and download economic data for Job Openings: Construction (JTS2300JOL) from Dec 2000 to Apr 2025 about job openings, vacancy, construction, and USA.

This table presents information on the development in turnover in the Temporary employment sector (SIC 2008 code 78). The data can be divided by a number of branches according to Statistics Netherlands' Standard Industrial Classification of all Economic Activities 2008 (SIC 2008). Job pool companies (SIC code 78203) are not included in the survey. These companies account for only a very small part (1 percent) of total temporary employment sector (SIC code 78). The figures are expressed as a percentage change compared to a previous period and by means of an index. In this table the base year is updated to 2015, in previous publications the base year was 2010. Developments in turnover are published in two formats. Firstly, as a year-on-year mutation which expresses growth relative to the same period in the preceding year. The second format pertains to a period-on-period mutation, for example quarter-on-quarter. Period-on-period mutations are derived by applying seasonal adjustment. The predecessor of this table (see paragraph 3) also included the hours worked. As of the first quarter of 2018 the hours worked aren’t published by Statistics Netherlands anymore.

Data available from 1st quarter 2005.

Status of the figures: All figures in the table are final.

Changes as of May 29, 2024: The 2023 figures have been updated.

When will new figures be published? No longer applicable. This table was discontinued following the five-year base shift as of May 31, 2024 and was succeeded by a new table (see Trade and Services table in Section 3).

Statistics on Products in the Services Sector: Employment-related activities (Division 78 CNAE2009) (businesses with 20 or more employees): breakdown of turnover by activity sector of the client and occupation sections. National.

Labor Turnover and Downsizing Trends in Taipei City: Time Series Statistical Data

This statistic shows the number of employees of the wholesale trade industry in Canada from 2008 to 2024, by age group. There were around 468,800 wholesale trade employees aged between 25 and 54 years in Canada in 2024.

Graph and download economic data for Hires: Total Private (JTS1000HIL) from Dec 2000 to Apr 2025 about hires, private, and USA.

The number of employees in the administrative and support service industry in the Netherlands was approximately 973.34 thousand in 2022. This is higher than in 2021, when the number of employees had been around 937.71 thousand.

The Business Structure Database (BSD) contains a small number of variables for almost all business organisations in the UK. The BSD is derived primarily from the Inter-Departmental Business Register (IDBR), which is a live register of data collected by HM Revenue and Customs via VAT and Pay As You Earn (PAYE) records. The IDBR data are complimented with data from ONS business surveys. If a business is liable for VAT (turnover exceeds the VAT threshold) and/or has at least one member of staff registered for the PAYE tax collection system, then the business will appear on the IDBR (and hence in the BSD). In 2004 it was estimated that the businesses listed on the IDBR accounted for almost 99 per cent of economic activity in the UK. Only very small businesses, such as the self-employed were not found on the IDBR.

The IDBR is frequently updated, and contains confidential information that cannot be accessed by non-civil servants without special permission. However, the ONS Virtual Micro-data Laboratory (VML) created and developed the BSD, which is a 'snapshot' in time of the IDBR, in order to provide a version of the IDBR for research use, taking full account of changes in ownership and restructuring of businesses. The 'snapshot' is taken around April, and the captured point-in-time data are supplied to the VML by the following September. The reporting period is generally the financial year. For example, the 2000 BSD file is produced in September 2000, using data captured from the IDBR in April 2000. The data will reflect the financial year of April 1999 to March 2000. However, the ONS may, during this time, update the IDBR with data on companies from its own business surveys, such as the Annual Business Survey (SN 7451).

The data are divided into 'enterprises' and 'local units'. An enterprise is the overall business organisation. A local unit is a 'plant', such as a factory, shop, branch, etc. In some cases, an enterprise will only have one local unit, and in other cases (such as a bank or supermarket), an enterprise will own many local units.

For each company, data are available on employment, turnover, foreign ownership, and industrial activity based on Standard Industrial Classification (SIC)92, SIC 2003 or SIC 2007. Year of 'birth' (company start-up date) and 'death' (termination date) are also included, as well as postcodes for both enterprises and their local units. Previously only pseudo-anonymised postcodes were available but now all postcodes are real.

The ONS is continually developing the BSD, and so researchers are strongly recommended to read all documentation pertaining to this dataset before using the data.

Linking to Other Business Studies
These data contain IDBR reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

Latest Edition Information
For the sixteenth edition (March 2024), data files and a variable catalogue document for 2023 have been added.

Graph and download economic data for Job Openings: Accommodation and Food Services (JTS7200JOR) from Dec 2000 to Apr 2025 about accommodation, job openings, vacancy, food, services, and USA.

The number of employees in the information sector in Sweden increased by 8.3 thousand employees (+30.89 percent) in 2021. In total, the number of employees amounted to 35.15 thousand employees in 2021. Number of employees is defined as those persons who work for an employer and who have a contract of employment and receive compensation in the form of wages, salaries, fees, gratuities, piecework pay or remuneration in kind. A worker from an employment agency is considered to be an employee of that temporary employment agency and not of the unit (customer) in which they work.Find more statistics on the information sector in Sweden with key insights such as turnover, production value, and personnel costs.