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National Center for Education Statistics

Leveraging Economic Data to Understand the Education Workforce

The Digest of Education Statistics recently debuted 13 new tables on K–12 employment and wages from a data source that is new to the Digest—the Occupational Employment Wage Statistics (OEWS) program of the Bureau of Labor Statistics (BLS). NCES’s Annual Reports and Information Staff conducted an extensive review of existing and emerging data sources and found that BLS’s OEWS program provides high-quality, detailed, and timely data that are suitable to inform policymaking in education and workforce development.1 In this blog post, we share why we added this new data source, how we evaluated and prepared these data, and our future plans to expand on these efforts.

 

Need for Education Workforce Data

NCES recognized that education stakeholders need more granular and timely data on the condition of the education workforce to inform decisionmaking. In the wake of the coronavirus pandemic, school districts are looking to address critical staffing needs. According to NCES’s School Pulse Panel, entering the 2023–24 school year (SY), just under half of U.S. public schools reported feeling understaffed and had a need for special education teachers, transportation staff, and mental health professionals.

Since staffing needs and labor markets vary from district to district and state to state, it is important that we create national- and state-level tabulations for specific occupations, including those of special interest since the pandemic, like bus drivers, social workers, and special education teachers. Similarly, we want to be able to provide annual data updates so stakeholders can make the most up-to-date decisions possible.

Annual Digest table updates, coupled with detailed occupational and state-level data, will provide relevant and timely information on employment and wage trends that will be valuable in current and future efforts to address teacher and staff retention and recruitment. See below for a list of the new Digest tables.

  • National-level employment and annual wages
  • Selected teaching occupations (211.70)
  • Selected noninstructional occupations (213.70)
  • State-level employment and annual wages
  • Preschool teachers (211.70a)
  • Kindergarten teachers (211.70b)
  • Elementary school teachers (211.70c)
  • Middle school teachers (211.70d)
  • Secondary school teachers (211.70e)
  • Kindergarten and elementary special education teachers (211.70f)
  • Middle school special education teachers (211.70g)
  • Secondary school special education teachers (211.70h)
  • Substitute teachers (211.70i)
  • Teaching assistants (211.70j)
  • All occupations in the Elementary and Secondary Education industry (213.75)

 

Strengths of OEWS

OEWS and the Digest tables are aligned with the Federal Committee on Statistical Methodology’s Data Quality Framework, specifically the principles of objectivity (standardization), utility (granularity and timeliness), and integrity (data quality).


Standardization

OEWS produces employment and wage estimates using standardized industry and occupational classifications. Using the North American Industry Classification System, establishments are grouped into categories—called industries—based on their primary business activities. Like industries, occupations are organized into groups or categories based on common job duties (using the Standard Occupational Classification). Occupations that are common to K–12 schools can also be found in other industries, and the OEWS provides both cross-industry estimates and industry-specific estimates for just Elementary and Secondary Education industry. To provide the most relevant and comparable data for education stakeholders, NCES chose to focus on distinct occupational estimates for the Elementary and Secondary Education industry, since all establishments (e.g., school boards, school districts) provide the same services: instruction or coursework for basic preparatory education (typically K–12).2     

Another advantage of the OEWS data is the ability to examine specific detailed occupations, like elementary school teachers, secondary school teachers, and education administrators. Digest tables include estimates for specific instructional and noninstructional occupations, which allows users to make comparisons among teachers and staff with similar job responsibilities, providing opportunities for more targeted decisionmaking.


Granularity

In addition to data on detailed occupations, OEWS data provide data at national and state and levels, allowing for comparisons across geographies. National-level Digest tables include estimates for public and private education employers.3 Publicly funded charter schools run by private establishments are included in private ownership estimates, as they can be managed by parents, community groups, or private organizations. Public ownership is limited to establishments that are run by federal, state, or local governments. State-level Digest tables provide more localized information covering labor markets for the 50 states, the District of Columbia, Puerto Rico, Guam, and the U.S. Virgin Islands.
   

Timeliness and Data Quality

OEWS data are updated annually from a sample of about 1.1 million establishments’ data collected over a 3-year period. The OEWS sample is drawn from an administrative list of public and private companies and organizations that is estimated to cover about 95 percent of jobs.4 When employers respond to OEWS, they report from payroll data that are maintained as a part of regular business operations and typically do not require any additional collections or calculations. Payroll data reflect wages paid by employers for a job, which has a commonly accepted definition across employers or industries. This allows for more accurate comparisons of annual wages for a particular job. In contrast, when wages are self-reported by a respondent in person-level or household surveys, the reported data may be difficult to accurately code to a specific industry or detailed occupation, and there is greater chance of recall error by the respondent. Additionally, OEWS provides specialized respondent instructions for elementary and secondary schools and postsecondary institutions that accommodate the uniqueness of what educators do and how they are paid. These instructions enable precise coding of the occupations commonly found in these industries and a more precise and consistent reporting of wages of workers with a variety of schedules (e.g., school year vs. annual, part time vs. full time).   

OEWS uses strict quality control and confidentiality measures and strong sampling and estimation methodologies.5 BLS also partners with state workforce agencies to facilitate the collection, coding, and quality review of OEWS data. States’ highly trained staff contribute local knowledge, establish strong respondent relationships, and provide detailed coding expertise to further ensure the quality of the data. 

After assessing the strengths of the OEWS data, the Digest team focused on the comparability of the data over time to ensure that the data would be best suited for stakeholder needs and have the most utility. First, we checked for changes to the industrial and occupational classifications. Although there were no industrial changes, the occupational classifications of some staff occupations—like librarians, school bus drivers, and school psychologists—did change. In those cases, we only included comparable estimates in the tables.

Second, all new Digest tables include nonoverlapping data years to account for the 3-year collection period. While users cannot compare wages in 2020 with 2021 and 2022, they can explore data from 2016, 2019, and 2022. Third, the Digest tables present estimates for earlier data years to ensure the same estimation method was used to produce estimates over time.6 Finally, we did not identify any geographical, scope, reference period, or wage estimation methodology changes that would impact the information presented in tables. These checks ensured we presented the most reliable and accurate data comparisons.

 

Next Steps  

The use of OEWS data in the Digest is a first step in harnessing the strength of BLS data to provide more relevant and timely data, leading to a more comprehensive understanding of the education workforce. NCES is investigating ways we can partner with BLS to further expand these granular and timely economic data, meeting a National Academies of Science, Engineering, and Medicine recommendation to collaborate with other federal agencies and incorporate data from new sources to provide policy-relevant information. We plan to explore the relationship between BLS data and NCES data, such as the Common Core of Data, and increase opportunities for more detailed workforce analyses.

NCES is committed to exploring new data sources that can fill important knowledge gaps and expand the breadth of quality information available to education stakeholders. As we integrate new data sources and develop new tabulations, we will be transparent about our evaluation processes and the advantages and limitations of sources. We will provide specific examples of how information can be used to support evidence-based policymaking. Additionally, NCES will continue to investigate new data sources that inform economic issues related to education. For example, we plan to explore Post-Secondary Employment Outcomes to better understand education-to-employment pathways. We are investigating sources for building and land use data to assess the condition and utilization of school facilities. We are also looking for opportunities to integrate diverse data sources to expand to new areas of the education landscape and to support timelier and more locally informed decisionmaking.
 

How will you use the new Digest tables? Do you have suggestions for new data sources? Let us know at ARIS.NCES@ed.gov.

 

By Josue DeLaRosa, Kristi Donaldson, and Marie Marcum, NCES


[1] See these frequently asked questions for a description of current uses, including economic development planning and to project future labor market needs.

[2] Although most of the K–12 instructional occupations are in the Elementary and Secondary Education industry, both instructional and noninstructional occupations can be found in others (e.g., Colleges, Universities, and Professional Schools; Child Care Services). See Educational Instruction and Library Occupations for more details. For example, preschool teachers differ from some of the other occupations presented in the Digest tables, where most of the employment is in the Child Care Services industry. Preschool teachers included in Digest tables reflect the employment and average annual wage of those who are employed in the Elementary and Secondary Education industry, not all preschool teachers.

[3] Note that estimates do not consider differences that might exist between public and private employers, such as age and experience of workers, work schedules, or cost of living.

[4] This includes a database of businesses reporting to state unemployment insurance (UI) programs. For more information, see Quarterly Census of Employment and Wages.

[5] See Occupational Employment and Wage Statistics for more details on specific methods.

[6] Research estimates are used for years prior to 2021, and Digest tables will not present estimates prior to 2015, the first year of revised research estimates. See OEWS Research Estimates by State and Industry for more information.

Public State and Local Education Job Openings, Hires, and Separations for January 2023

As the primary statistical agency of the U.S. Department of Education, the National Center for Education Statistics (NCES) is mandated to report complete statistics on the condition of American education. While the condition of an education system is often assessed through indicators of achievement and attainment, NCES is also mandated to report on the conditions of the education workplace.

As such, NCES has reported timely information from schools. For example, this past December, NCES released data that indicated that public schools have experienced difficulty filling positions throughout the COVID-19 pandemic.1 In order to understand the broader labor situation, NCES is utilizing the Job Openings and Labor Turnover Survey to describe the tightness of the job market.

JOLTS Design

The Job Openings and Labor Turnover Survey (JOLTS), conducted by the U.S. Bureau of Labor Statistics (BLS), provides monthly estimates of job openings, hires, and total separations. The purpose of JOLTS data is to serve as demand-side indicators of labor shortages at the national level.2

The JOLTS program reports labor demand and turnover estimates by industry, including education.3 As such, this analysis focuses on the public state and local education industry (“state and local government education” as referred to by JOLTS),4 which includes all persons employed by public elementary and secondary school systems and postsecondary institutions.

The JOLTS program does not produce estimates by Standard Occupational Classification.5 When reviewing these findings, please note occupations6 within the public state and local education industry vary7 (e.g., teachers and instructional aides, administrators, cafeteria workers, transportation workers). Furthermore, as the JOLTS data are tabulated at the industry level, the estimates are inclusive of the elementary, secondary, and postsecondary education levels.

Analysis

In this blog post, we present selected estimates on the number and rate of job openings, hires, and total separations (quits, layoffs and discharges, and other separations). The job openings rate is computed by dividing the number of job openings by the sum of employment and job openings. All other metric rates (hires, total separations, quits, layoffs and discharges, and other separations) are defined by taking the number of each metric and dividing it by employment. Fill rate is defined as the ratio of the number of hires to the number of job openings, and the churn rate is defined as the sum of the rate of hires and the rate of total separations.8


Table 1. Number of job openings, hires, and separations and net change in employment in public state and local education, in thousands: January 2020 through January 2023

*Significantly different from January 2023 (p < .05).
1 Net employment changes are calculated by taking the difference between the number of hires and the number of separations. When the number of hires exceeds the number of separations, employment rises—even if the number of hires is steady or declining. Conversely, when the number of hires is less than the number of separations, employment declines—even if the number of hires is steady or rising.
NOTE: Data are not seasonally adjusted. Detail may not sum to totals because of rounding.
SOURCE: U.S. Department of Labor, Bureau of Labor Statistics, Job Openings and Labor Turnover Survey (JOLTS), 2020–2023, based on data downloaded April 5, 2023, from https://data.bls.gov/cgi-bin/dsrv?jt.


Table 2. Rate of job openings, hires, and separations in public state and local education and fill and churn rates: January 2020 through January 2023

*Significantly different from January 2023 (p < .05).
NOTE: Data are not seasonally adjusted. Detail may not sum to totals because of rounding.
SOURCE: U.S. Department of Labor, Bureau of Labor Statistics, Job Openings and Labor Turnover Survey (JOLTS), 2020–2023, based on data downloaded April 5, 2023, from https://data.bls.gov/cgi-bin/dsrv?jt.


Overview of January 2023 Estimates

The number of job openings in public state and local education was 303,000 on the last business day of January 2023, which was higher than in January 2020 (239,000) (table 1). In percentage terms, 2.8 percent of jobs had openings in January 2023, which was higher than in January 2020 (2.2 percent) (table 2). The number of hires in public state and local education was 218,000 in January 2023, which was higher than in January 2020 (177,000) (table 1). This suggests there was a greater demand for public state and local education employees in January 2023 than before the pandemic (January 2020), and there were more people hired in January 2023 than before the pandemic (January 2020). The number of job openings at the end of January 2023 (303,000) was nearly 1.4 times the number of staff hired that month (218,000). In addition, the fill rate for that month was less than 1, which suggests a need for public state and local government education employees that was not being filled completely by January 2023.

The number of total separations in the state and local government education industry in January 2023 was not measurably different from the number of separations observed in January 2020 or January 2022. However, there was a higher number of total separations in January 2023 (127,000) than in January 2021 (57,000), which was nearly a year into the pandemic. In January 2023, the number of quits (76,000) was higher than the number of layoffs and discharges (36,000). Layoffs and discharges accounted for 28 percent of total separations in January 2023 (which was not measurably different from the percentage of layoffs and discharges out of total separations in January 2021), while quits accounted for 60 percent of total separations (which was not measurably different from the percentage of quits out of total separations in January 2021). These data suggest that there were similar distributions in the reasons behind the separations within the state and local government education industry between 2021 and 2023 in the month of January.

 

By Josue DeLaRosa, NCES

 


[1] U.S. Department of Education, National Center for Education Statistics. Forty-Five Percent of Public Schools Operating Without a Full Teaching Staff in October, New NCES Data Show. Retrieved March 28, 2023, from https://nces.ed.gov/whatsnew/press_releases/12_6_2022.asp.
 

[2] U.S. Bureau of Labor Statistics. Job Openings and Labor Turnover Survey. Retrieved March 28, 2023, from https://www.bls.gov/jlt/jltover.htm.

[3] For more information about these estimates, see https://www.bls.gov/news.release/jolts.tn.htm.

[4] JOLTS refers to this industry as state and local government education, which is designated as ID 92.

[5] For more information on the reliability of JOLTS estimates, see https://www.bls.gov/jlt/jltreliability.htm.

[6] North American Industry Classification System (NAICS) is a system for classifying establishments (individual business locations) by type of economic activity. The Standard Occupational Classification (SOC) classifies all occupations for which work is performed for pay or profit. To learn more on the differences between NAICS and SOC, see https://www.census.gov/topics/employment/industry-occupation/about/faq.html.

[7] JOLTS data are establishment based, and there is no distinction between occupations within an industry. If a teacher and a school nurse were hired by an establishment coded as state and local government education, both would fall under that industry. (From email communication with JOLTS staff, April 7, 2023.)

[8] Skopovi, S., Calhoun, P., and Akinyooye, L. Job Openings and Labor Turnover Trends for States in 2020. Beyond the Numbers: Employment & Unemployment, 10(14). Retrieved March 28, 2023, from https://www.bls.gov/opub/btn/volume-10/jolts-2020-state-estimates.htm.

Public State and Local Education Job Openings, Hires, and Separations for December 2021

The Job Openings and Labor Turnover Survey (JOLTS),1 conducted by the U.S. Bureau of Labor Statistics (BLS), provides monthly estimates of job openings, hires, and total separations (quits, layoffs and discharges, and other separations) for major industry sectors, including education. BLS JOLTS data and other survey data can be used to track the recovery of the labor market since the spring of 2020, when the coronavirus pandemic resulted in job losses on a scale not seen since the Great Depression.2

This analysis is the first in a of series of analyses of the public state and local education industry3 during the 2021–22 school year. This industry includes all persons employed by public elementary and secondary school systems and postsecondary institutions, including a variety of occupations, such as teachers and instructional aides, administrators and other professional staff, support staff, maintenance personnel, cafeteria workers, and transportation workers.4 The JOLTS data are tabulated at this sector level and do not permit separate detailed analyses at the elementary and secondary level or at the postsecondary level. To put the scope of this group in context, 48 percent of the staff employed by public elementary and secondary school systems were teachers, and 37 percent of full-time-equivalent (FTE) postsecondary staff within public degree-granting institutions were instructional faculty in 2019.5

This snapshot is focused on the December 2021 reporting period. To provide context for this period, estimates will be compared with the previous month’s estimates, as well as with December 2019 (before the pandemic) and December 2020. Subsequent analysis will review the cumulative change from July 2021 through June 2022.

Overview of December 2021 Estimates

The number of job openings in public state and local education was 320,000 on the last business day of December 2021, which was higher than in December 2019 or December 2020 (table 1). In percentage terms, 2.9 percent of jobs had openings in December 2021, which was higher than 2.0 percent in December 2019 and 1.9 percent in December 2020. This suggests a greater need for public state and local education employees in December 2021 than in December 2019 or December 2020. Additionally, the number of separations6 (126,000) in December 2021 exceeded the total number of hires (91,000), indicating a net decrease in the number of public state and local education employees from the number in the month before. The number of job openings at the end of December 2021 (320,000) was 3.5 times larger than the number of staff actually hired that month (91,000). This December 2021 ratio of openings to hires was higher than the ratio in December 2020 (2.9) and the ratio in December 2019 (2.6).

Hiring in the education sector happens on a cyclical basis with the academic calendar, meaning that patterns will differ between months.7 November 2021 data are also provided in table 1 to provide a sense of the month-to-month change in employment data. In November 2021, the number of job openings outpaced the number of hires by a margin of 167,000 positions, representing a ratio of job openings to hires of 2.3. 


Table 1. Public state and local education job openings, hires, and separations: 2019, 2020, and 2021

Table showing public state and local education job openings, hires, and separations (layoffs and discharges, other separations, and quits)in 2019, 2020, and 2021

---Not available.
NOTE: Data are not seasonally adjusted. Detail may not sum to totals because of rounding.
SOURCE: U.S. Department of Labor, Bureau of Labor Statistics, Job Openings and Labor Turnover Survey (JOLTS), 2019, 2020, and 2021, based on data downloaded March 15, 2022.


Net Change in Employment

JOLTS data show the relationships of hires and separations throughout business cycles. Net employment changes result from the relationship between hires and separations. When the number of hires exceeds the number of separations, employment rises—even if the number of hires is steady or declining. Conversely, when the number of hires is less than the number of separations, employment declines—even if the number of hires is steady or rising. During the 2021 calendar year, hires for state and local education totaled 2,075,000. The number of separations was estimated at 1,622,000 (including 1,009,000 quits). Taken together, the public state and local education sector in 2021 experienced a net employment gain of 453,000. In contrast, there was a net employment loss of 787,000 in 2020, resulting from 1,647,000 hires and 2,434,000 separations. These totals include workers who may have been hired and separated more than once during the year. Annual net gains and losses indicate the importance of being able to consider multiple years of data when studying the overall staffing situation in our education system. The net employment gain in 2021 does not erase the larger net loss experienced in 2020.

Figure 1 shows the cyclical nature of state and local government education employee job openings, hires, and separations. The percentages in the figure reflect the number of job openings, hires, and separations during the month relative to the total employment in the state and local government education industry. In general, separations and hiring are higher in the summer and lower in the winter. Both trends reflect the school fiscal year (July through June).


Figure 1. Monthly percentage of job openings, hires, and separations for the state and local government education industry: January 2019 to December 2021

Line graph showing monthly percentage of job openings, hires, and separations for the state and local government education industry in January, June, and December 2019, June and December 2020, and June and December 2021

NOTE: Data are not seasonally adjusted.
SOURCE: U.S. Department of Labor, Bureau of Labor Statistics, Job Openings and Labor Turnover Survey (JOLTS), 2019, 2020, and 2021, based on data downloaded March 15, 2022.


Public State and Local Education Job Openings

Figure 2 shows the job openings in December 2021 compared with those in December 2019 and December 2020 across different industries. Overall, the total nonfarm job opening rate was 6.4 percent in December 2021, which was an increase of 2.3 percentage points over the rate in December 2020. The percentage of public state and local education sector jobs with openings was 2.9 percent (320,000) in December 2021, which was higher than the 2.0 percent (220,000) in December 2019 or 1.9 percent (194,000) in December 2020. The percentage of public state and local education sector job openings in December 2021 was not measurably different from the percentage in November 2021.


Figure 2. Rate of job openings, by major industry: December 2019, December 2020, and December 2021

Scatter plot showing rate of job openings, by major industry, in December 2019, December 2020, and December 2021

NOTE: Data are not seasonally adjusted.
SOURCE: U.S. Department of Labor, Bureau of Labor Statistics, Job Openings and Labor Turnover Survey (JOLTS), 2019, 2020, and 2021, based on data downloaded March 17, 2022.


Public State and Local Education Hires

Figure 3 shows hires across major industries as a percentage of total employment. Overall, the total nonfarm hire rate was 3.2 percent in December 2021, which was 0.3 percentage points higher than the rate in December 2020. The percentage of public state and local education sector hires was 0.9 percent (91,000) in December 2021, which was not measurably different from the number or rate in either December 2019 or December 2020. The percentage of public state and local education sector hires in December 2021 was lower than the 1.2 percent in November 2021 (133,000).

The gaps between hires and job openings in the public education sector were larger in December 2021 than in 2019 or 2020, due to a larger number of openings in December 2021. In December 2021, the gap between the rates of job openings and hires in education was 2.0 percentage points, compared with 1.2 in both December 2019 and December 2020.


Figure 3. Rate of hires, by major industry: December 2019, December 2020, and December 2021

Scatter plot showing rate of hires, by major industry, in December 2019, December 2020, and December 2021

NOTE: Data are not seasonally adjusted.
SOURCE: U.S. Department of Labor, Bureau of Labor Statistics, Job Openings and Labor Turnover Survey (JOLTS), 2019, 2020, and 2021, based on data downloaded March 17, 2022.


Public State and Local Education Total Separations

Total separations include quits, layoffs and discharges, and other separations. Quits are generally voluntary separations initiated by the employee. Therefore, the quit rate can serve as a measure of workers’ willingness or ability to leave jobs. Layoffs and discharges are involuntary separations initiated by the employer. The other separations category includes separations due to retirement, death, disability, and transfers to other locations of the same firm.

Total separations for the public state and local education industry were 126,000, or 1.2 percent, in December 2021 (figure 4). Quits accounted for 59 percent of all separations for state and local education employees in December 2021. The quit rate was 0.7 percent for December 2021, which was about 0.2 percentage points higher than in December 2020, but not measurably different from the rate in December 2019. Quit rates for public state and local education employees were consistently lower than for private sector employees.8 For example, in December 2021 the total private sector quit rate was 2.8 percent.


Figure 4. Rate of total separations, by major industry: December 2019, December 2020, and December 2021

Scatter plot showing rate of total separations, by major industry, in December 2019, December 2020, and December 2021

NOTE: Data are not seasonally adjusted.
SOURCE: U.S. Department of Labor, Bureau of Labor Statistics, Job Openings and Labor Turnover Survey (JOLTS), 2019, 2020, and 2021, based on data downloaded March 17, 2022.


Taken together, the data show that in recent years there generally have been fewer separations in the public education industry compared with other industries. The December 2021 separation rate for state and local education employees of 1.2 percent was higher than the November 2021 separation rate of 0.9 percent. Nevertheless, the separation rate for the state and local education industry was lower than for all other industries in December 2021.

At 2.9 percent, state and local education had the lowest percentage of jobs with openings in December 2021. However, that does not mean that staffing shortages were not a factor in the state and local education industry (figure 5). The ratio of job openings to hires for state and local education (3.5) in December 2021 is well above the average for all industries (2.1), indicating a high demand for employees in this industry and relative difficulty of filling available slots. The only industries with higher openings-to-hires ratios were the federal government (3.9) and state and local government, excluding education (5.6). Thus, while the openings-to-hires ratio was relatively higher for the state and local education industry, it was lower than the ratio for the federal government and for state and local government, excluding education.


Figure 5. Ratio of job openings to hires, by major industry: December 2021

Horizontal bar chart showing ratio of job openings to hires, by major industry, in December 2021

NOTE: Data are not seasonally adjusted.
SOURCE: U.S. Department of Labor, Bureau of Labor Statistics, Job Openings and Labor Turnover Survey (JOLTS), 2021, based on data downloaded March 17, 2022.


To understand the cumulative status of the employment situation at the end of the school year, we intend to provide an update of our analyses as these data become available.

Learn more about JOLTS and access additional data on job openings, hires, and separations. Be sure to follow NCES on Twitter, Facebook, LinkedIn, and YouTube to stay informed.

 

By Josue DeLaRosa, NCES


[1] For a discussion on the reliability of the estimates, please see Job Openings and Labor Turnover Technical Note - 2022 M01 Results (bls.gov).

[2] U.S. Department of Labor, Bureau of Labor Statistics, “How Did Employment Change During the COVID-19 pandemic? Evidence From a New BLS Survey Supplement,” downloaded March 18, 2022, from https://www.bls.gov/opub/btn/volume-11/how-did-employment-change-during-the-covid-19-pandemic.htm; and “As the COVID-19 Pandemic Affects the Nation, Hires and Turnover Reach Record Highs in 2020,” downloaded March 18, 2022, from https://www.bls.gov/opub/mlr/2021/article/as-the-covid-19-pandemic-affects-the-nation-hires-and-turnover-reach-record-highs-in-2020.htm.

[3] JOLTS refers to this industry as state and local government education and uses ID 92.

[4] JOLTS does not collect occupation data.

[5] U.S. Department of Education, National Center for Education Statistics, Digest of Education Statistics, table 213.10, downloaded March 30, 2022, from https://nces.ed.gov/programs/digest/d21/tables/dt21_213.10.asp?current=yes, and table 314.10, downloaded March 30, 2022, from https://nces.ed.gov/programs/digest/d20/tables/dt20_314.10.asp?current=yes.

[6] Separations include all separations from the payroll during the entire reference month and are reported by type of separation: quits, layoffs and discharges, and other separations.

[7] Engel, M. (2012). The Timing of Teacher Hires and Teacher Qualifications: Is There an Association? Teachers College Record, 114(12): 1–29.

[8] The private sector includes all nonfarm employees except federal employment and state and local government employment.