NCES Blog

National Center for Education Statistics

Access NCES-Led Sessions From the 2021 American Educational Research Association (AERA) Annual Meeting

This past April, several NCES experts presented at the AERA 2021 Virtual Annual Meeting, a 4-day event focused on the theme of “Accepting Educational Responsibility.” Check out their session summaries below and access their presentations from the event.

National Assessment of Educational Progress (NAEP)

Peggy Carr—NCES Associate Commissioner for Assessments—led a session called “Update on NAEP 2021.” Carr explained the rationale for postponing data collection for the Nation’s Report Card during the ongoing coronavirus pandemic, introduced the 2021 Monthly School Survey that provides insight into learning opportunities offered by schools during the pandemic (including an overview of results thus far), and discussed next steps for NAEP.

Common Education Data Standards (CEDS)

Nancy Sharkey—the CEDS Program Lead at NCES—along with her colleagues from AEM and several other research organizations, provided an introduction to the CEDS program and an overview of how states can use CEDS in their policy making and research. Explore their session “Common Education Data Standards: How States Use This Common Vocabulary for Policy and Research” to learn more.

Sharkey also copresented a session called “Developing Informed Data Requests: How to Use Common Education Data Standards and Tools.” Learn about the background of CEDS and explore two of the program’s resources: CEDS Elements and the Align tool.

Statewide Longitudinal Data Systems (SLDS) Grant Program

Kristen King—the SLDS Grant Program Officer at NCES—along with her colleagues from AEM, led a session called “SLDS Capacity Survey: Prerelease Findings” that provided an overview of the SLDS program’s history, goals, and evolution over time. The session also discussed the background and methods of the SLDS State Data Capacity Survey and explored the survey’s prerelease findings.

More information on these topics can be found on the NAEP, CEDS, and SLDS pages of the NCES website. For more information about AERA’s 2021 Virtual Annual Meeting, visit the AERA website.

 

By Megan Barnett, AIR

Machine-Readable Tables for the Digest of Education Statistics

NCES is excited to announce the release of more than 100 Digest of Education Statistics tables in a new format that makes them easier for researchers to read and use. These tables, known as machine-readable tables (MRT), have a uniform design that allows the data to be read in a standard format.

Each MRT file contains data from one Digest table. In addition to data values, each MRT file includes metadata information pertaining to that particular table. The MRT file, which is an Excel file, includes three tabs:

  •  “MRT-README” tab: provides a brief introduction to MRT and lists all variable names and descriptions used in the table.
  •  “meta” tab: includes all table-specific metadata information, such as the Digest table number and title, general note, data source note, and URL for the corresponding Digest table.
  •  “data” tab: contains all the cell data in a format that is homogeneous across all Digest tables, such as row level headers, column level headers, data values, standard errors, data years, and special notes at the cell level.

The new MRT format facilitates access to and use of Digest table data by software programs. Those seeking to simply view the data or make a simple calculation can continue to access these data in the traditional table format on the Digest of Education Statistics webpage.

There are two ways to access the MRT files, either as a batch or as individual files. To download all available MRT files, visit the Digest MRT webpage. To download individual MRT files, click on the “Download machine readable table” link from the corresponding Digest table’s HTML page (see below).


User feedback is essential to the design of future MRTs (more MRT files will be released in the coming months). NCES welcomes any comments on or suggestions to improve the usability of these tables. For example, NCES is interested in hearing how MRT files are used for research or other applications and any changes that could improve their ease of use. Please contact us with your feedback or questions.  

 

By Jizhi Zhang and Paul Bailey, AIR

National Spending for Public Schools Increases for the Sixth Consecutive Year in School Year 2018–19

NCES just released a finance tables report, Revenues and Expenditures for Public Elementary and Secondary Education: FY19 (NCES 2021-302), which draws from data in the National Public Education Financial Survey (NPEFS). The results show that spending1 on elementary and secondary education increased in school year 2018–19 (fiscal year [FY] 2019), after adjusting for inflation. This is the sixth consecutive year that year-over-year education spending increased since 2012–13. This increase follows declines in year-over-year spending for the prior 4 years (2009–10 to 2012–13).

Current expenditures per pupil2 for the day-to-day operation of public elementary and secondary schools rose to $13,187 in FY19, an increase of 2.1 percent from FY18, after adjusting for inflation (figure 1).3 Current expenditures per pupil also increased over the previous year in FY18 (by 0.9 percent), in FY17 (by 1.7 percent), in FY16 (by 2.8 percent), in FY15 (by 2.7 percent), and in FY14 (by 1.2 percent). In FY19, education spending was 11.8 percent higher than the lowest point of the Great Recession in FY13 and 6.1 percent higher than spending prior to the Great Recession in FY10.


Figure 1. National inflation-adjusted current expenditures per pupil for public elementary and secondary school districts: FY10 through FY19

NOTE: Spending is reported in constant FY19 dollars, based on the Consumer Price Index (CPI).
SOURCE: U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD), "National Public Education Financial Survey," fiscal years 2010 through 2018 Final Version 2a; and fiscal year 2019, Provisional Version 1a; and Digest of Education Statistics 2019, retrieved January 8, 2021, from https://nces.ed.gov/programs/digest/d19/tables/dt19_106.70.asp.


Without adjusting for geographic cost differences, current expenditures per pupil ranged from $7,950 in Utah to $24,882 in New York (figure 2). In addition to New York, current expenditures per pupil were highest in the District of Columbia ($22,831), New Jersey ($21,331), Vermont ($21,217), and Connecticut ($21,140). In addition to Utah, current expenditures per pupil were lowest in Idaho ($8,043), Arizona ($8,773), Nevada ($9,126), and Oklahoma ($9,203).


Figure 2. Current expenditures per pupil for public elementary and secondary education, by state: FY19

NOTE: These data are not adjusted for geographic cost differences.
SOURCE: U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD), “National Public Education Financial Survey (NPEFS),” FY19, Provisional Version 1a and “State Nonfiscal Survey of Public Elementary/Secondary Education,” school year 2018–19, Provisional Version 1a.


These new NPEFS data offer researchers extensive opportunities to investigate state and national patterns of revenues and expenditures. Explore the report and learn more.


[1] Spending refers to current expenditures. Current expenditures comprise expenditures for the day-to-day operation of schools and school districts for public elementary/secondary education, including expenditures for staff salaries and benefits, supplies, and purchased services. Current expenditures include instruction, instruction-related support services (e.g., social work, health, psychological services), and other elementary/secondary current expenditures but exclude expenditures on capital outlay, other programs, and interest on long-term debt.
[2] Per pupil expenditures are calculated using student membership derived from the State Nonfiscal Survey of Public Elementary/Secondary Education. In some states, adjustments are made to ensure consistency between membership and reported fiscal data. More information on these adjustments can be found in the data file documentation at https://nces.ed.gov/ccd/files.asp.
[3] In order to compare spending from one year to the next, expenditures are converted to constant dollars, which adjusts figures for inflation. Inflation adjustments utilize the Consumer Price Index (CPI) published by the U.S. Department of Labor, Bureau of Labor Statistics. For comparability to fiscal education data, NCES adjusts the CPI from a calendar year to a school fiscal year basis (July through June). See Digest of Education Statistics 2019, table 106.70, retrieved January 8, 2021, from https://nces.ed.gov/programs/digest/d19/tables/dt19_106.70.asp.

 

By Stephen Q. Cornman NCES; Lei Zhou, Activate Research; and Malia Howell, U.S. Census Bureau

Students’ Access to the Internet and Digital Devices at Home

This blog continues a robust discussion about National Center for Education Statistics (NCES) data collected in the recent past that can illuminate the issue of students’ access to the internet and digital devices at home. A few years ago—well before the coronavirus pandemic and stay-at-home orders shone a bright light on the inequities across the nation—NCES began dedicating resources to improve its data collection and policymaking around education technology and equity at the district, state, and national levels.

The 2019 National Assessment of Educational Progress (NAEP) reading questionnaire asked 4th- and 8th-grade students if they had internet access at home and if there was a computer or tablet at home that they could use (referred to in this blog as having “digital access”). These data provide a pre–coronavirus pandemic snapshot of students’ digital access. Across all public schools, 81 percent of 4th-grade students and 88 percent of 8th-grade students said that they had digital access (figures 1 and 2). Thus, 19 percent of 4th-grade students and 12 percent of 8th-grade students in public schools may not have either access to the internet or the devices required to carry out distance learning.  


Figure 1. Percentage of 4th-grade public school students in the NAEP reading assessment that reported having internet access and a computer or tablet at home, by state: 2019

* Significantly different from the National Public estimate at the .05 level of statistical significance.
NOTE: Statistical comparison tests are based on unrounded numbers. Not all apparent differences between estimates are statistically significant.
SOURCE: U.S. Department of Education, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2019 Reading Assessment.


Figure 2. Percentage of 8th-grade public school students in the NAEP reading assessment that reported having internet access and a computer or tablet at home, by state: 2019

* Significantly different from the National Public estimate at the .05 level of statistical significance.
NOTE: Statistical comparison tests are based on unrounded numbers. Not all apparent differences between estimates are statistically significant.
SOURCE: U.S. Department of Education, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2019 Reading Assessment.


There were also differences across states in 2019. For 4th-grade students, the percentages who had digital access varied by state, ranging from 70 percent in New Mexico to 88 percent in New Jersey (table 1). Arizona, Arkansas, Idaho, Kansas, Mississippi, Missouri, New Mexico, Oklahoma, Oregon, Tennessee, Texas, and Wyoming had lower percentages of students who had digital access than the national average (figure 1 and table 1). For 8th-grade students, the percentages who had access ranged from 81 percent in Oklahoma to 93 percent in Connecticut (table 1). Alabama, Arizona, Arkansas, Hawaii, Kentucky, Louisiana, Mississippi, Nevada, Oklahoma, Tennessee, Texas, and West Virginia had lower percentages of students who had access than the national average (figure 2 and table 1).


Table 1. Percentage of public school students in the NAEP reading assessment that reported having internet access and a computer or tablet at home, by grade and state: 2019

 

Grade 4

 

Grade 8

 

State

Percent

s.e

 

Percent

s.e

 

   National public

81

(0.2)

 

88

(0.2)

 

Alabama

79

(1.2)

 

86

(0.8)

Alaska

 

 

Arizona

78

(0.9)

84

(0.9)

Arkansas

73

(0.9)

83

(1.1)

California

81

(0.9)

 

88

(0.9)

 

Colorado

 

 

Connecticut

85

(0.8)

93

(0.6)

Delaware

81

(0.9)

 

90

(0.6)

 

District of Columbia

83

(0.8)

90

(0.6)

DoDEA

88

(0.7)

96

(0.4)

Florida

85

(0.7)

89

(0.7)

 

Georgia

83

(0.9)

90

(0.7)

Hawaii

79

(1)

 

86

(0.8)

Idaho

77

(0.9)

88

(0.8)

 

Illinois

83

(0.8)

90

(0.6)

Indiana

80

(0.9)

 

90

(1.1)

 

Iowa

81

(0.9)

 

90

(0.7)

 

Kansas

78

(0.9)

88

(0.7)

 

Kentucky

81

(0.8)

 

87

(0.7)

Louisiana

79

(1)

 

85

(0.9)

Maine

82

(0.9)

 

89

(0.7)

 

Maryland

82

(0.8)

 

91

(0.6)

Massachusetts

87

(0.8)

93

(0.7)

Michigan

80

(1)

 

90

(0.8)

 

Minnesota

83

(1)

92

(0.7)

Mississippi

77

(1.2)

84

(0.7)

Missouri

78

(0.8)

89

(0.8)

 

Montana

 

 

Nebraska

81

(0.9)

 

90

(0.7)

Nevada

79

(1)

 

85

(0.7)

New Hampshire

 

 

New Jersey

88

(0.8)

93

(0.6)

New Mexico

70

(1.2)

82

(0.8)

New York

84

(0.7)

91

(0.7)

North Carolina

81

(0.8)

 

89

(0.8)

 

North Dakota

81

(1)

 

90

(0.7)

Ohio

82

(0.9)

 

91

(0.7)

Oklahoma

73

(1.1)

81

(0.9)

Oregon

77

(1)

87

(0.8)

 

Pennsylvania

85

(0.8)

91

(0.7)

Rhode Island

84

(0.8)

90

(0.6)

South Carolina

81

(1)

 

90

(0.9)

 

South Dakota

 

 

Tennessee

77

(0.9)

86

(0.9)

Texas

75

(0.9)

82

(1)

Utah

 

 

Vermont

81

(0.9)

 

91

(0.7)

Virginia

82

(0.8)

 

91

(0.8)

Washington

80

(1)

 

89

(0.8)

 

West Virginia

81

(1)

 

86

(0.7)

Wisconsin

83

(0.9)

 

91

(0.7)

Wyoming

78

(0.9)

88

(0.7)

 

↑ Significantly higher than the estimate for National Public at the .05 level of statistical significance.
↓ Significantly higher than the estimate for National Public at the .05 level of statistical significance.
‡ Reporting standards not met. Sample size insufficient to permit a reliable estimate.
† Not applicable.
NOTE: Statistical comparison tests are based on unrounded numbers. Not all apparent differences between estimates are statistically significant. “National public” refers to the results for all students in public schools.
SOURCE: U.S. Department of Education, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2019 Reading Assessment.


Looking at the results of NAEP’s 2019 Trial Urban Districts Assessment (TUDA), Miami-Dade, Florida, had the highest percentages of 4th- and 8th-grade students who had digital access (88 percent and 93 percent, respectively) (table 2). Fresno, California, had the lowest percentage of 4th-grade students (67 percent) who had access and Dallas, Texas, had the lowest percentage of 8th-grade students (73 percent) who had access.


Table 2. Percentage of public school students in the NAEP reading assessment that reported having internet access and a computer or tablet at home, by grade and Trial Urban District Assessments (TUDA): 2019

 

Grade 4

 

Grade 8

 

Large city

Percentage

 

Percentage

 

   All large cities

78

 

85

 

Albuquerque

75

 

85

 

Atlanta

82

86

 

Austin

78

 

83

 

Baltimore City

73

84

 

Boston

81

89

Charlotte

83

91

Chicago

80

 

88

 

Clark County (NV)

78

 

84

 

Cleveland

74

80

Dallas

71

73

Denver

 

 

Detroit

70

79

District of Columbia (DCPS)

83

90

Duval County (FL)

84

89

Fort Worth (TX)

72

88

Fresno

67

77

Guilford County (NC)

78

 

85

 

Hillsborough County (FL)

81

 

87

 

Houston

71

75

Jefferson County (KY)

82

88

Los Angeles

76

 

85

 

Miami-Dade

88

93

Milwaukee

75

 

85

 

New York City

81

 

89

Philadelphia

78

 

86

 

San Diego

81

 

90

Shelby County (TN)

78

 

86

 

Significantly higher than the estimate for Large City at the .05 level of statistical significance.
↓ Significantly lower than the estimate for Large City at the .05 level of statistical significance.
‡ Reporting standards not met. Sample size insufficient to permit a reliable estimate.
NOTE: Statistical comparison tests are based on unrounded numbers. Not all apparent differences between estimates are statistically significant.
SOURCE: U.S. Department of Education, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2019 Reading Assessment.


In 2019, higher percentages of 8th-grade students than of 4th-grade students had digital access. This pattern was consistent across all states and TUDA jurisdictions. On average, in both 4th and 8th grades, higher percentages of students in suburban areas than of students in cities, towns, and rural areas had access (table 3).


Table 3. Percentage of public school students in the NAEP reading assessment that reported having internet access and a computer or tablet at home, by grade and locale: 2019

 

Grade 4

 

Grade 8

 

Locale

Percentage

s.e

 

Percentage

s.e

 

   National public

81

(0.2)

 

88

(0.2)

 

City

79

(0.4)

86

(0.4)

Suburban

84

(0.3)

 

92

(0.3)

 

Town

77

(0.8)

86

(0.6)

Rural

78

(0.4)

87

(0.4)

↓ Significantly lower than the estimate for Suburban at the .05 level of statistical significance.
NOTE: Statistical comparison tests are based on unrounded numbers. Not all apparent differences between estimates are statistically significant.
SOURCE: U.S. Department of Education, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2019 Reading Assessment.


While the NAEP data reveal state-level patterns in students’ digital access before the pandemic, the Household Pulse Survey (HPS) provides insight into the digital access of students across the country during the pandemic. The HPS is conducted by the Census Bureau and seven other federal statistical agency partners, including NCES. Since April 23, 2020, the HPS has provided weekly or biweekly estimates of the availability of computers and internet access to children for educational purposes.

In April 2020, 88 percent of adults who had children under 18 in the home enrolled in school reported that computers were always or usually available for educational purposes. By the end of March 2021, that percentage increased to 94 percent (table 4).

A similar pattern emerged in the HPS data for internet access. In April 2020, 91 percent of adults who had children under 18 in the home enrolled in school reported that the internet was always or usually available for educational purposes. In March 2021, that percentage had increased to 94 percent (table 4).


Table 4. Percentage of adults who had children under 18 in the home enrolled in school who reported that computers and internet access were always or usually available for educational purposes: 2020–21, selected time periods

 

Computers available

Access to internet

 

Percentage

s.e.

 

Percentage

s.e.

 

April 23 to May 5, 2020

88

(0.5)

 

91

(0.4)

 

March 17 to March 29, 2021

94

(0.4)

94

(0.4)

↑ Significantly higher than the estimate for April 23 to May 5, 2020, at the .05 level of statistical significance.
NOTE: Statistical comparison tests are based on unrounded numbers. Not all apparent differences between estimates are statistically significant.
SOURCE: U.S. Department of Commerce, Census Bureau, Household Pulse Survey, selected periods, April 2021 through March 2021.


While these data provide a recent look into the technology landscape for students both before and during the pandemic, there is still a need to collect more and better data to understand digital inequities. For example, future NCES surveys could ask schools, students, and teachers about their technology use and access at home, what resources for learning and instruction they have at home, and the environment in which many students and teachers now find themselves learning and teaching.

 

Resources for more information:

 

By Cadelle Hemphill, AIR; Yan Wang, AIR: Diana Forster, AIR; Chad Scott, AIR; and Grady Wilburn, NCES

The Growing Reading Gap: IES Event to Link Knowledge to Action Through Literacy Data

On June 8 and 9, the Institute of Education Sciences (IES) and the Council of the Great City Schools (CGCS) will host a Reading Summit to address one of the most important issues confronting American education today: the declining reading performance of America’s lowest-performing students and the growing gap between low- and high-performing students.

At this 2-day virtual event, participants will explore the results of the National Assessment of Educational Progress (NAEP), as well as other IES data, and learn strategies to help educators and low-performing readers make progress.

Learn more about the summit’s agenda and speakers—including IES Director Mark Schneider, NCES Commissioner James L. Woodworth, and NCES Associate Commissioner Peggy Carr—and register to participate (registration is free).

In the meantime, explore some of the data NCES collects on K–12 literacy and reading achievement, which show that the scores of students in the lowest-performing groups are decreasing over time.

  • The National Assessment of Educational Progress (NAEP) administers reading assessments to 4th-, 8th-, and 12th-grade students. The most recent results from 2019 show that average reading scores for students in the 10th percentile (i.e., the lowest-performing students) decreased between 2017 and 2019 at grade 4 (from 171 to 168) and grade 8 (from 219 to 213) and decreased between 2019 and 2015 at grade 12 (from 233 to 228).
  • The Progress in International Reading Literacy Study (PIRLS) is an international comparative assessment that measures 4th-grade students’ reading knowledge and skills. The most recent findings from 2016 show that the overall U.S. average score (549) was higher than the PIRLS scale centerpoint (500), but at the 25th percentile, U.S. 4th-graders scored lower in 2016 (501) than in 2011 (510).
  • The Program for International Student Assessment (PISA) is a study of 15-year-old students’ performance in several subjects, including reading literacy. The 2018 results show that, although the overall U.S. average reading score (505) was higher than the OECD average score (487), at the 10th percentile, the U.S. average score in 2018 (361) was not measurably different from the score in 2015 and was lower than the score in 2012 (378).

NCES also collects data on young children’s literacy knowledge and activities as well as the literacy competencies of adults. Here are a few data collections and tools for you to explore:

This year, the Condition of Education includes a newly updated indicator on literacy activities that parents reported doing with young children at home. Here are some key findings from this indicator, which features data from the 2019 NHES Early Childhood Program Participation Survey:

In the week before the parents were surveyed,

  • 85 percent of 3- to 5-year-olds were read to by a family member three or more times.
  • 87 percent of 3- to 5-year-olds were told a story by a family member at least once.
  • 96 percent of 3- to 5-year-olds were taught letters, words, or numbers by a family member at least once.

In the month before the parents were surveyed,

  • 37 percent of 3- to 5-year-olds visited a library with a family member at least once.

Be sure to read the full indicator in the 2021 Condition of Education, which was released in May, for more data on young children’s literacy activities, including analyses by race/ethnicity, mother’s educational attainment, and family income.

Don’t forget to follow NCES on Twitter, Facebook, and LinkedIn to stay up-to-date on the latest findings and trends in literacy and reading data and register for the IES Reading Summit to learn more about this topic from experts in the field. 

 

By Megan Barnett, AIR