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National Center for Education Statistics

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.

NCES Celebrates LGBTQ+ Pride Month

June is LGBTQ+ Pride Month, and NCES is proud to share some of the work we have undertaken to collect data on the characteristics and well-being of sexual and gender minority populations.

Inclusion of questions about sexual orientation and gender identity on federal surveys allows for better understanding of sexual and gender minority populations relative to the general population. These sexual orientation and gender identity (SOGI) data meet a critical need for information to understand trends within larger population groups, and insights gained from analysis of the data can lead to potential resources and needed interventions being provided to better serve the community. Giving respondents the opportunity to describe themselves and bring their “whole self” to a questionnaire helps them to be seen and heard by researchers and policymakers.

Sometimes, NCES is asked why questions like this appear on an education survey. They can be sensitive questions for some people, after all. NCES asks these questions to be able to understand the different experiences, equity, and outcomes related to education for sexual and gender minorities, just as NCES does for groups identified by other demographic characteristics like race, ethnicity, household income, and what part of the country someone lives in. By sexual minorities, we mean people who report their sexual orientation to be something other than straight or heterosexual, and by gender minorities, we mean people whose sex as recorded at birth is different from their gender.

Over the past 10 years, NCES has researched how to best ask respondents about their sexual orientation and gender identity, how respondents react to these questions, and the quality of data that NCES has collected on these characteristics.

At NCES, several studies include background questions for adults about their sexual orientation and gender identity. These are the High School Longitudinal Study: 2009 (HSLS:09) Second Follow-up in 2016, the Baccalaureate and Beyond Longitudinal Study (B&B) 08/18 and 16/21 collections, the National Postsecondary Student Aid Study (NPSAS) in 2020, and the Beginning Postsecondary Students Longitudinal Study (BPS) 2020/22 (see table below for more details about these surveys).


 


The collection of these data allows NCES to describe the experiences of gender and sexual minority individuals. For example:

  • In 2020, postsecondary students who identified as genderqueer, gender nonconforming, or a different identity had difficulty finding safe and stable housing at three times the rate (9 percent) of students who identified as male or female (3 percent each).1
     
  • In 2018, about 10 years after completing a 2007–08 bachelor’s degree, graduates who were gender minorities2 described their financial situations. Graduates who were gender minorities were less likely to own a home (31 percent) or hold a retirement account (74 percent) than graduates who were not gender minorities (63 percent and 87 percent, respectively) (figure 1).3  

Figure 1. Percentage of 2007–08 bachelor’s degree recipients who owned a home, had a retirement account, reported negative net worth, and did not meet essential expenses in the past 12 months, by gender minority status in 2018

NOTE: “Retirement account” includes both employer-based retirement accounts such as 401(k), 403(b), and pensions, and non-employer-based retirement accounts such as individual retirement accounts. Respondents are considered to have negative net worth if they would still be in debt after selling all their major possessions, turning all their investments and other assets into cash, and paying off as many debts as they could. “Did not meet essential expenses” refers to being unable to meet essential living expenses such as mortgage or rent payments, utility bills, or important medical care. “Past 12 months” refers to any of the 12 months preceding the interview. Gender minority indicates whether the respondent’s gender identity differed from the sex assigned at birth. Gender identity categories include male; female; transgender, male-to-female; transgender, female-to-male; genderqueer or gender nonconforming; a different gender identity; and more than one gender identity.
SOURCE: U.S. Department of Education, National Center for Education Statistics, 2008/18 Baccalaureate and Beyond Longitudinal Study (B&B:08/18).


  • In the 2017–18 school year, 18 percent of public schools had a recognized student group that promoted the acceptance of students’ sexual orientation and gender identity, such as a Gay-Straight Alliance (GSA). This was an increase from the 2015–16 school year, in which 12 percent of schools reported having a GSA.4
     
  • For 2008 bachelor’s degree graduates with a full-time job in 2018, straight people reported higher average salaries than either lesbian/gay or bisexual people.  

NCES is committed to collecting data about equity in education and describing the experiences of SGM students, graduates, and educators.

To learn more about the research conducted at NCES and across the federal statistical system on the measurement of SOGI, please visit the Federal Committee on Statistical Methodology (FCSM) website and check out these two presentations from the FCSM 2022 Research and Policy Conference: How do you Describe Yourself in the Workplace? Asking Teachers about their Sexual Orientation and Gender Identity in a School Survey and Assessing Open-Ended Self-Reports of Sexual Orientation and Gender Identity: Is There Room For Improvement?.

 

By Maura Spiegelman and Elise Christopher, NCES


[1] U.S. Department of Education, National Center for Education Statistics, 2019–20 National Postsecondary Student Aid Study (NPSAS:20, preliminary data).

[2] On the NCES surveys mentioned above, gender identity categories include male; female; transgender, male-to-female; transgender, female-to-male; genderqueer or gender nonconforming; a different gender identity; and more than one gender identity.

[3] U.S. Department of Education, National Center for Education Statistics, 2008/18 Baccalaureate and Beyond Longitudinal Study (B&B:08/18).

[4] U.S. Department of Education, National Center for Education Statistics, 2015–16 and 2017–18 School Survey on Crime and Safety (SSOCS).

Money Matters: Exploring Young Adults’ Financial Literacy and Financial Discussions With Their Parents

Financial literacy is a critical skill for young adults—especially as they begin to enter college or the workforce—that is often needed for partial or full financial independence and increased financial decision making.

The Program for International Student Assessment (PISA)—which is coordinated by the Organization for Economic Cooperation and Development (OECD)—gives us a unique opportunity to analyze and understand the financial literacy of 15-year-olds in the United States and other education systems around the world. PISA is the only large-scale nationally representative assessment that measures the financial literacy skills of 15-year-olds. The financial literacy domain was administered first in 2012 and then in 2015 and 2018. The 2018 financial literacy cycle assessed approximately 117,000 students, representing about 13.5 million 15-year-olds from 20 education systems. The fourth cycle began in fall 2022 in the United States and is currently being conducted.


How Frequently Do Students Discuss Financial Topics With Their Parents?

In 2018, all education systems that administered the PISA financial literacy assessment also asked students to complete a questionnaire about their experiences with money matters in school and outside of school. In the United States, about 3,500 students out of the total 3,740 U.S. PISA sample completed the questionnaire.

This blog post explores how frequently students reported talking about the following five topics with their parents (or guardians or relatives):

  1. their spending decisions
  2. their savings decisions
  3. the family budget
  4. money for things they want to buy
  5. news related to economics or finance

Students’ answers were grouped into two categories: frequent (“a few times a month” or “once a week or more”) and infrequent (“never or almost never” or “a few times a year”).

We first looked at the degree to which students frequently discussed various financial topics with their parents. In 2018, the frequency of student-parent financial discussions varied by financial topic (figure 1):

  • About one-quarter (24 percent) of U.S. 15-year-old students reported frequently discussing with their parents news related to economics or finance.
  • More than half (53 percent) of U.S. 15-year-old students reported frequently discussing with their parents money for things they wanted to buy.

Bar chart showing percentage of 15-year-old students who frequently discuss financial topics with their parents, by topic (spending decisions, savings decisions, family budget, money for things you want to buy, and news related to economics or finance), in 2018


Do male and female students differ in how frequently they discuss financial topics with their parents?

In 2018, higher percentages of female students than of male students frequently discussed with their parents the family budget (35 vs. 32 percent) and money for things they wanted to buy (56 vs. 50 percent). Meanwhile, a lower percentage of female students than of male students frequently discussed with their parents news related to economics or finance (21 vs. 26 percent) (figure 2).


Bar chart showing percentage of 15-year-old students who frequently discuss financial topics with their parents, by topic (spending decisions, savings decisions, family budget, money for things you want to buy, and news related to economics or finance) and gender, in 2018


Are Students’ Financial Literacy Scores Related to How Frequently They Discuss Financial Matters With Their Parents?

With a scale from 0–1,000, the PISA financial literacy assessment measures students’ financial knowledge in four content areas:

  1. money and transactions
  2. planning and managing finances
  3. risk and reward
  4. the financial landscape

In 2018, the average score of 15-year-old students ranged from 388 points in Indonesia to 547 points in Estonia. The U.S. average (506 points) was higher than the average in 11 education systems, lower than the average in 4 education systems, and not measurably different from the average in 4 education systems. The U.S. average was also not measurably different from the OECD average.

We also examined the relationship between frequent parent–student financial discussions and students’ financial literacy achievement (figure 3). After taking into account students’ gender, race/ethnicity, immigration status, and socioeconomic status—as well as their school’s poverty and location—the results show that students who reported frequently discussing spending decisions with their parents scored 16 points higher on average than did students who reported infrequently discussing this topic. On the other hand, students who reported frequently discussing news related to economics or finance with their parents scored 18 points lower on average than did students who reported infrequently discussing this topic.  


Two-sided horizontal bar chart showing financial literacy score-point differences between students who frequently and infrequently discuss financial topics with their parents, after accounting for student and school characteristics, in 2018


Do Students Think That Young Adults Should Make Their Own Spending Decisions?

We also explored whether students agreed that young people should make their own spending decisions. In 2018, some 63 percent of U.S. 15-year-old students reported they agreed or strongly agreed, while 37 percent reported that they disagreed.

Do male and female students differ in their agreement that young adults should make their own spending decisions?

When comparing the percentage of male versus female students, we found that a lower percentage of female students than of male students agreed or strongly agreed that young people should make their own spending decisions (59 vs. 66 percent). This pattern held even after taking into account students’ gender, race/ethnicity, immigration status, and socioeconomic status as well as school poverty and location.  


Upcoming PISA Data Collections

A deeper understanding of the frequency of parent–student financial conversations, the types of topics discussed, and the relationships between financial topics and financial literacy could help parents and educators foster financial literacy across different student groups in the United States.

PISA began collecting data in 2022 after being postponed 1 year due to the COVID-19 pandemic; 83 education systems are expected to participate. The PISA 2022 Financial Literacy Assessment will include items from earlier years as well as new interactive items. The main PISA results will be released in December 2023, and the PISA financial literacy results will be released in spring/summer 2024.

Be sure to follow NCES on TwitterFacebookLinkedIn, and YouTube and subscribe to the NCES News Flash to receive notifications when these new PISA data are released.

 

By Saki Ikoma, Marissa Hall, and Frank Fonseca, AIR

International Computer and Information Literacy Study: 2023 Data Collection

In April, the National Center for Education Statistics (NCES) will kick off the 2023 International Computer and Information Literacy Study (ICILS) of eighth-grade students in the United States. This will be the second time the United States is participating in the ICILS.

What is ICILS?

ICILS is a computer-based international assessment of eighth-grade students’ capacity to use information and communications technologies (ICT)1 productively for a range of different purposes. It is sponsored by the International Association for the Evaluation of Educational Achievement (IEA) and conducted in the United States by NCES.

In addition to assessing students on two components—computer and information literacy (CIL) and computational thinking (CT)—ICILS also collects information from students, teachers, school principals, and ICT coordinators on contextual factors that may be related to students’ development in CIL.

Why is ICILS important?

ICILS measures students’ skills with ICT and provides data on CIL. In the United States, the development of these skills is called for in the Federal STEM Education Strategic Plan. Outside of the United States, ICILS is also recognized as an official EU target by the European Council and EU member states to support strategic priorities toward the European Education Area and Beyond (2021–2030). From a global perspective, ICILS provides information for monitoring progress toward the UNESCO Sustainable Development Goals (SDGs).

The measurement of students’ CIL is highly relevant today—digital tools and online learning became the primary means of delivering and receiving education during the onset of the coronavirus pandemic, and technology continually shapes the way students learn both inside and outside of school.

ICILS provides valuable comparative data on students’ skills and experience across all participating education systems. In 2018, ICILS results showed that U.S. eighth-grade students’ average CIL score (519) was higher than the ICILS 2018 average score (496) (figure 1).


Horizontal bar chart showing average CIL scores of eighth-grade students, by education system, in 2018

* p < .05. Significantly different from the U.S. estimate at the .05 level of statistical significance.
NOTE: CIL = computer and information literacy. The ICILS CIL scale ranges from 100 to 700. The ICILS 2018 average is the average of all participating education systems meeting international technical standards, with each education system weighted equally. Education systems are ordered by their average CIL scores, from largest to smallest. Italics indicate the benchmarking participants.
SOURCE: International Association for the Evaluation of Educational Achievement (IEA), International Computer and Information Literacy Study (ICILS), 2018.


ICILS data can also be used to examine various topics within one education system and shed light on the variations in the use of digital resources in teaching and learning among student and teacher subgroups. For example, in 2018, lower percentages of mathematics teachers than of English language arts (ELA) and science teachers often or always used ICT to support student-led discussions, inquiry learning, and collaboration among students (figure 2).


Stacked horizontal bar chart showing percentage of U.S. eighth-grade teachers who often or always use ICT, by selected teaching practice and subject (English language arts, math, and science), in 2018

NOTE: ICT = information and communications technologies. Teaching practices are ordered by the percentage of English language arts teachers using ICT, from largest to smallest. Science includes general science and/or physics, chemistry, biology, geology, earth sciences, and technical science.
SOURCE: International Association for the Evaluation of Educational Achievement (IEA), International Computer and Information Literacy Study (ICILS), 2018.


What does the ICILS 2023 data collection include?

In November 2022, NCES started the preparation work for the ICILS 2023 main study data collection, which is scheduled for administration from April to June 2023. Eighth-grade students and staff from a nationally representative sample of about 150 schools will participate in the study.

Students will be assessed on CIL (which focuses on understanding computer use, gathering information, producing information, and communicating digitally) and CT (which focuses on conceptualizing problems and operationalizing solutions). In addition to taking the assessment, students will complete a questionnaire about their access to and use of ICT.

Teachers will be surveyed about their use of ICT in teaching practices, ICT skills they emphasize in their teaching, their attitudes toward using ICT, and their ICT-related professional development. In addition, principals and ICT coordinators will be surveyed about ICT resources and support at school, priorities in using ICT, and management of ICT resources.

In 2023, more than 30 education systems will participate in the study and join the international comparisons. When ICILS 2023 results are released in the international and U.S. reports in November 2024, we will be able to learn more about the changes in students’ and teachers’ technology use over the past 5 years by comparing the 2023 and 2018 ICILS results. Such trend comparisons will be meaningful given the increased availability of the Internet and digital tools during the pandemic.

 

Explore the ICILS website to learn more about the study, and be sure to follow NCES on TwitterFacebookLinkedIn, and YouTube and subscribe to the NCES News Flash to stay up-to-date on future ICILS reports and resources.

 

By Yan Wang and Yuqi Liao, AIR

 


[1] Refers to technological tools and resources used to store, create, share, or exchange information, including computers, software applications, and the Internet.

NCES Releases Indicators on Rural Education

NCES is excited to announce the release of five Education Across America indicators that focus on education in rural areas. These indicators—which summarize data patterns and provide analyses of the rural education experience—focus on the following topics:

For example, Rural Students’ Access to the Internet highlights the percentage of students in rural areas who had no internet access or only dial-up access to the Internet in 2019 (7 percent or 663,000 students). This percentage was higher than the percentages for students in towns (6 percent), cities (5 percent), and suburban areas (3 percent). In addition, compared with students in other locales, it was less common for students in rural areas to have fixed broadband internet access at home and more common for them to have only mobile broadband internet access at home. 


Figure 1. Percentage of 5- to 17-year-old students with no access to the Internet or only dial-up access to the Internet at home, by home locale: 2019

[click to enlarge image]

Horizontal bar chart showing the percentage of 5- to 17-year-old students with no access to the Internet or only dial-up access to the Internet at home in 2019, by home locale

NOTE: "No access to the Internet or only dial-up access to the Internet" includes households where no member accesses the Internet at home as well as households where members access the Internet only with a dial-up service. Data are based on sample surveys of the entire population residing within the United States. This figure includes only students living in households, because respondents living in group quarters (e.g., shelters, healthcare facilities, or correctional facilities) were not asked about internet access. Excludes children under age 15 who are not related to the householder by birth, marriage, or adoption (e.g., foster children) because their family and individual income is not known and a poverty status cannot be determined for them. Although rounded numbers are displayed, figures are based on unrounded data.

SOURCE: U.S. Department of Commerce, Census Bureau, American Community Survey (ACS), 2019, Restricted-Use Data File. See Digest of Education Statistics 2020, table 218.70.


These indicators are currently available through the Condition of Education Indicator System. To access them, select Explore by Indicator Topics and then select the Education Across America icon.


Image of the Condition of Education's Explore by Indicator Topics page highlighting the Education Across America section


Stay tuned for the release of additional indicators in early 2023. Then, in spring/summer 2023, check back to explore our highlights reports—which will explore key findings across multiple indicators grouped together by a theme—and our spotlight on distant and remote rural areas and the unique challenges they face.

Explore the Education Across America resource hub—including locale definitions, locale-focused resources, and reference tables with locale-based data—and watch this video to learn more about the hub. Be sure to follow NCES on TwitterFacebookLinkedIn, and YouTube and subscribe to the NCES News Flash to stay up-to-date on Education Across America releases and resources.

 

By Xiaolei Wang and Jodi Vallaster, NCES