Following is the text of the June job openings and labor turnover rates.
Job Openings and Labor Turnover - June 2011
There were 3.1 million job openings on the last business day of June, the U.S. Bureau of Labor Statistics reported today. The hires rate (3.1 percent) and separations rate (3.1 percent) were again little changed over the month. This release includes estimates of the number and rate of job openings, hires, and separations for the total nonfarm sector by industry and by geographic region.
Job Openings The number of job openings in June was 3.1 million, essentially unchanged from May. Although the number of job openings in June was 997,000 higher than in July 2009 (the series trough), it has been relatively flat since February 2011 and remains well below the 4.4 million openings when the recession began in December 2007.
The number of job openings in June (not seasonally adjusted) rose from a year earlier for total nonfarm and total private. The number of job openings increased in mining and logging, retail trade, professional and business services, and health care and social assistance. Job openings decreased over the year for federal government. Over the year comparisons for federal government are impacted by last year’s elevated numbers of job openings, hires, and separations of temporary workers needed to conduct the 2010 Census.
Hires In June, the hires rate was about unchanged at 3.1 percent for total nonfarm. The hires rate was also essentially unchanged for all industries and regions. At 4.1 million in June, the number of hires is up from 3.6 million in October 2009 (the series trough) but remains below the 5.0 million hires when the recession began in December 2007.
Over the past 12 months, the hires rate (not seasonally adjusted) rose in construction, information, and accommodation and food services. The hires rate fell in finance and insurance and in federal government over the year.
Separations The total separations figure includes voluntary quits, involuntary layoffs and discharges, and other separations, including retirements. Total separations is also referred to as turnover.
The seasonally adjusted total separations rate was essentially unchanged in June for total nonfarm (3.1 percent), total private (3.4 percent), and government (1.4 percent). Over the year, the total separations rate (not seasonally adjusted) was essentially unchanged for total nonfarm and total private but decreased for government.
The quits rate can serve as a measure of workers’ willingness or ability to change jobs. In June, the quits rate was essentially unchanged for total nonfarm (1.5 percent), total private (1.7 percent), and government (0.5 percent). (See table 4.) Although the number of quits rose from 1.5 million in January 2010 (the most recent trough) to 1.9 million in June 2011, the number remained below the 2.8 million quits when the recession began in December 2007.
The number of quits (not seasonally adjusted) in June 2011 was essentially unchanged from 12 months earlier for total nonfarm, total private, and government. Educational services experienced an increase in the number of quits over the year, while the finance and insurance industry and federal government experienced a decline. In the regions, the number of quits rose in the Midwest but was little changed in the other three regions.
The layoffs and discharges component of total separations is seasonally adjusted only at the total nonfarm, total private, and government levels. The layoffs and discharges rate was little changed in June for total nonfarm, total private, and government. The number of layoffs and discharges for total nonfarm was 1.8 million in June, up slightly from the recent low point of 1.5 million in January 2011, but still well below the peak of 2.5 million in February 2009.
The layoffs and discharges level (not seasonally adjusted) declined over the 12 months ending in June for government. The level decreased over the year for federal government, returning to a more typical level after a large number of layoffs in June 2010 of temporary Census workers. The number of layoffs and discharges was little changed in all four regions over the year.
The other separations series is not seasonally adjusted. In June, there were 394,000 other separations for total nonfarm, 259,000 for total private, and 135,000 for government. Compared to June 2010, the number of other separations was little changed for total nonfarm, total private, and government.
Relative Contributions to Separations
The total separations level is influenced by the relative contribution of its three components--quits, layoffs and discharges, and other separations. The percentage of total separations attributable to the individual components has varied over time at the total nonfarm level, but for the majority of the months since the series began in December 2000, the proportion of quits has exceeded the proportion of layoffs and discharges. Other separations is historically a very small portion of total separations; it has rarely been above 10 percent of total separations.
The proportions of quits and layoffs and discharges were last equal in November 2010. Since then, the proportion of quits has trended upward, again exceeding the proportion of layoffs and discharges. In June, the proportion of quits for total nonfarm was 48 percent and the proportion of layoffs and discharges was 45 percent. The proportions were the same for total private with 48 percent quits and 45 percent layoffs and discharges. For government, the proportions were 39 percent quits and 39 percent layoffs and discharges.
Net Change in Employment Over the 12 months ending in June, not seasonally adjusted data totaled 47.7 million hires and 46.7 million separations, yielding a net employment gain of 1.0 million. These figures include workers who may have been hired and separated more than once during the year. Nearly half of the hires and nearly half of the separations during these 12 months occurred in three industries: retail trade; professional and business services; and accommodation and food services. The large share of total hires and separations accounted for by these three industries reflects the size of the industries as well as their relatively high hires and separations rates.
____________ The Job Openings and Labor Turnover Survey results for July 2011 are scheduled to be released on Wednesday, September 7, 2011 at 10:00 a.m. (EDT).
The data for the Job Openings and Labor Turnover Survey (JOLTS) are collected and compiled monthly from a sample of business establishments by the Bureau of Labor Statistics (BLS).
In a monthly survey of business establishments, data are collected for total employment, job openings, hires, quits, layoffs and discharges, and other separations. Data collection methods include computer-assisted telephone interviewing, touchtone data entry, web, fax, e-mail, and mail.
The JOLTS program covers all private nonfarm establishments such as factories, offices, and stores, as well as federal, state, and local government entities in the 50 states and the District of Columbia.
Industry classification. The industry classifications in this release are in accordance with the 2007 version of the North American Industry Classification System (NAICS). In order to ensure the highest possible quality of data, State Workforce Agencies verify with employers and update, if necessary, the industry code, location, and ownership classification of all establishments on a 3-year cycle. Changes in establishment characteristics resulting from the verification process are always introduced into the JOLTS sampling frame with the data reported for the first month of the year.
Employment. Employment includes persons on the payroll who worked or received pay for the pay period that includes the 12th day of the reference month. Full-time, part-time, permanent, short-term, seasonal, salaried, and hourly employees are included, as are employees on paid vacations or other paid leave. Proprietors or partners of unincorporated businesses, unpaid family workers, or persons on leave without pay or on strike for the entire pay period, are not counted as employed. Employees of temporary help agencies, employee leasing companies, outside contractors, and consultants are counted by their employer of record, not by the establishment where they are working.
Job openings. Establishments submit job openings information for the last business day of the reference month. A job opening requires that: 1) a specific position exists and there is work available for that position, 2) work could start within 30 days regardless of whether a suitable candidate is found, and 3) the employer is actively recruiting from outside the establishment to fill the position. Included are full-time, part-time, permanent, short-term, and seasonal openings. Active recruiting means that the establishment is taking steps to fill a position by advertising in newspapers or on the Internet, posting help- wanted signs, accepting applications, or using other similar methods.
Jobs to be filled only by internal transfers, promotions, demotions, or recall from layoffs are excluded. Also excluded are jobs with start dates more than 30 days in the future, jobs for which employees have been hired but have not yet reported for work, and jobs to be filled by employees of temporary help agencies, employee leasing companies, outside contractors, or consultants. The job openings rate is computed by dividing the number of job openings by the sum of employment and job openings and multiplying that quotient by 100.
Hires. Hires are the total number of additions to the payroll occurring at any time during the reference month, including both new and rehired employees, full-time and part-time, permanent, short-term and seasonal employees, employees recalled to the location after a layoff lasting more than 7 days, on-call or intermittent employees who returned to work after having been formally separated, and transfers from other locations. The hires count does not include transfers or promotions within the reporting site, employees returning from strike, employees of temporary help agencies or employee leasing companies, outside contractors, or consultants. The hires rate is computed by dividing the number of hires by employment and multiplying that quotient by 100.
Separations. Separations are the total number of terminations of employment occurring at any time during the reference month, and are reported by type of separation--quits, layoffs and discharges, and other separations. Quits are voluntary separations by employees (except for retirements, which are reported as other separations). Layoffs and discharges are involuntary separations initiated by the employer and include layoffs with no intent to rehire; formal layoffs lasting or expected to last more than 7 days; discharges resulting from mergers, downsizing, or closings; firings or other discharges for cause; terminations of permanent or short-term employees; and terminations of seasonal employees. Other separations include retirements, transfers to other locations, deaths, and separations due to disability. Separations do not include transfers within the same location or employees on strike.
The separations rate is computed by dividing the number of separations by employment and multiplying that quotient by 100. The quits, layoffs and discharges, and other separations rates are computed similarly, dividing the number by employment and multiplying by 100.
Annual estimates. Annual estimates of rates and levels of hires, quits, layoffs and discharges, other separations, and total separations are released with the January news release each year.
The JOLTS annual level estimates for hires, quits, layoffs and discharges, other separations, and total separations are the sum of the 12 published monthly levels. The annual rate estimates are computed by dividing the annual level by the Current Employment Statistics (CES) annual average employment level, and multiplying that quotient by 100. This figure will be approximately equal to the sum of the 12 monthly rates. Note that both the JOLTS and CES annual levels are rounded to the nearest thousand before the annual estimates are calculated. Consistent with BLS practices, annual estimates are published only for not seasonally adjusted data.
Annual estimates are not calculated for job openings because job openings are a stock, or point-in-time, measurement for the last business day of each month. Only jobs still open on the last day of the month are counted. For the same reason job openings cannot be cumulated throughout each month, annual figures for job openings cannot be created by summing the monthly estimates. Hires and separations are flow measures and are cumulated over the month with a total reported for the month. Therefore, the annual figures can be created by summing the monthly estimates.
Special collection procedures
An implied measure of employment change can be derived from the JOLTS data by subtracting separations from hires for a given month. Aggregating these monthly changes historically produced employment levels that overstated employment change as measured by CES at the total nonfarm level. Research into this problem showed that a significant amount of the divergence between the CES employment levels and the derived JOLTS employment levels was traceable to the Employment Services industry and to the State Government Education industry. In the former industry, businesses have a difficult time reporting hires and separations of temporary help workers. In the latter industry, employers have difficulty reporting hires and separations of student workers. BLS now devotes additional resources to the collection, editing, and review of data for these industries. BLS analysts more closely examine reported data that do not provide a consistent picture over time, and re-contact the respondents as necessary. Analysts work with the respondents to adjust their reporting practices as possible. Units that cannot be reconciled but are clearly incorrect on a consistent basis are not used, they are replaced by imputed values using standard techniques.
Sample and estimation methodology
The JOLTS survey design is a random sample of 16,000 nonfarm business establishments, including factories, offices, and stores, as well as federal, state, and local governments in the 50 states and the District of Columbia. The establishments are drawn from a universe of over 9.1 million establishments compiled as part of the operations of the Quarterly Census of Employment and Wages (QCEW) program. This program includes all employers subject to state Unemployment Insurance (UI) laws and federal agencies subject to Unemployment Compensation for Federal Employees (UCFE).
The sampling frame is stratified by ownership, region, industry sector, and size class. The JOLTS sample is constructed from individual panels of sample units drawn on an annual basis. The full annual sample consists of one certainty panel composed of only large units selected with virtual certainty based on their size and 24 non-certainty panels. Each month a new non- certainty panel is rolled into collection, and the oldest non- certainty panel is rolled out. This means that at any given time the JOLTS sample is constructed from panels from three different annual sampling frames. The entire sample of old plus new panels is post-stratified and re-weighted annually to represent the most recent sampling frame. Additionally, the out-of-business establishments are removed from the old panels. The annual sample is supplemented with a quarterly sample of birth establishments (i.e., new establishments) to better reflect the impact of younger establishments in the JOLTS sample.
JOLTS total employment estimates are benchmarked monthly to the employment estimates of the Current Employment Statistics (CES) survey. A ratio of CES to JOLTS employment is used to adjust the levels for all other JOLTS data elements.
JOLTS business birth/death model
As with any sample survey, the JOLTS sample can only be as current as its sampling frame. The time lag from the birth of an establishment until its appearance on the sampling frame is approximately one year. In addition, many of these new units may fail within the first year. Since these universe units cannot be reflected on the sampling frame immediately, the JOLTS sample cannot capture job openings, hires, and separations from these units during their early existence. BLS has developed a model to estimate birth/death activity for current months by examining the birth/death activity from previous years on the QCEW and projecting forward to the present using an econometric technique known as X-12 ARIMA modeling. The birth/death model also uses historical JOLTS data to estimate the amount of “churn” (hires and separations) that exists in establishments of various sizes. The model then combines the estimated churn with the projected employment change to estimate the number of hires and separations taking place in these units that cannot be measured through sampling.
The model-based estimate of total separations is distributed to the three components--quits; layoffs and discharges; and other separations--in proportion to their contribution to the sample- based estimate of total separations. Additionally, job openings for the modeled units are estimated by computing the ratio of openings to hires in the collected data and applying that ratio to the modeled hires. The estimates of job openings, hires, and separations produced by the birth/death model are then added to the sample-based estimates produced from the survey to arrive at the estimates for openings, hires, and separations.
BLS seasonally adjusts several JOLTS series using the X-12 ARIMA seasonal adjustment program. Seasonal adjustment is the process of estimating and removing periodic fluctuations caused by events such as weather, holidays, and the beginning and ending of the school year. Seasonal adjustment makes it easier to observe fundamental changes in the level of the series, particularly those associated with general economic expansions and contractions. A concurrent seasonal adjustment methodology is used in which new seasonal adjustment factors are calculated each month, using all relevant data, up to and including the data for the current month.
JOLTS uses moving averages as seasonal filters in seasonal adjustment. JOLTS seasonal adjustment includes both additive and multiplicative seasonal adjustment models and REGARIMA (regression with autocorrelated errors) modeling to improve the seasonal adjustment factors at the beginning and end of the series and to detect and adjust for outliers in the series.
JOLTS hires minus separations should be comparable to the CES net employment change. However, definitional differences as well as sampling and non-sampling errors between the two surveys historically caused JOLTS to diverge from CES over time. To limit the divergence, and improve the quality of the JOLTS hires and separations series, BLS implemented the Monthly Alignment Method. The Monthly Alignment Method applies the CES employment trends to the seasonally adjusted JOLTS implied employment trend (hires minus separations) forcing them to be approximately the same, while preserving the seasonality of the JOLTS data. First, the two series are seasonally adjusted and the difference between the JOLTS implied employment trend and the CES net employment change is calculated. Next, the JOLTS implied employment trend is adjusted to equal the CES net employment change through a proportional adjustment. This proportional adjustment procedure adjusts the two components (hires, separations) proportionally to their contribution to the total churn (hires plus separations). For example, if hires are 40 percent of the churn for a given month, they will receive 40 percent of the needed adjustment and separations will receive 60 percent of the needed adjustment. The adjusted hires and separations are converted back to not seasonally adjusted data by reversing the application of the original seasonal factors. After the Monthly Alignment Method has been used to adjust the level estimates, rate estimates are computed from the adjusted levels. The monthly alignment procedure assures a close match of the JOLTS implied employment trend with the CES trend. The CES series is considered a highly accurate measure of net employment change owing to its very large sample size and annual benchmarking to universe counts of employment from the QCEW program.
Using JOLTS data
The JOLTS data series on job openings, hires, and separations are relatively new. The full sample is divided into panels, with one panel enrolled each month. A full complement of panels for the original data series based on the 1987 Standard Industrial Classification (SIC) system was not completely enrolled in the survey until January 2002. The supplemental panels of establishments needed to create NAICS estimates were not completely enrolled until May 2003. The data collected up until those points are from less than a full sample. Therefore, estimates from earlier months should be used with caution, as fewer sampled units were reporting data at that time.
In March 2002, BLS procedures for collecting hires and separations data were revised to address possible underreporting. As a result, JOLTS hires and separations estimates for months prior to March 2002 may not be comparable to estimates for March 2002 and later.
The federal government reorganization that involved transferring approximately 180,000 employees to the new Department of Homeland Security is not reflected in the JOLTS hires and separations estimates for the federal government. The Office of Personnel Management’s record shows these transfers were completed in March 2003. The inclusion of transfers in the JOLTS definitions of hires and separations is intended to cover ongoing movements of workers between establishments. The Department of Homeland Security reorganization was a massive one-time event, and the inclusion of these intergovernmental transfers would distort the federal government time series.
Reliability of the estimates
JOLTS estimates are subject to both sampling and nonsampling error. When a sample rather than the entire population is surveyed, there is a chance that the sample estimates may differ from the “true” population values they represent. The exact difference, or sampling error, varies depending on the particular sample selected, and this variability is measured by the standard error of the estimate. BLS analysis is generally conducted at the 90-percent level of confidence. That means that there is a 90-percent chance, or level of confidence, that an estimate based on a sample will differ by no more than 1.6 standard errors from the “true” population value because of sampling error. Estimates of sampling errors are available upon request.
The JOLTS estimates also are affected by nonsampling error. Nonsampling error can occur for many reasons, including the failure to include a segment of the population, the inability to obtain data from all units in the sample, the inability or unwillingness of respondents to provide data on a timely basis, mistakes made by respondents, errors made in the collection or processing of the data, and errors from the employment benchmark data used in estimation.
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