NCES Blog

National Center for Education Statistics

A Fresh Look at Homeschooling in the U.S.

By Sarah Grady

From 1999 to 2012, the percentage of students who were homeschooled doubled, from an estimated 1.7 percent to 3.4 percent. But that increase appears to have leveled off, according to newly released data. In 2016, about 1.7 million students (ages 5-17) were estimated to be homeschoolers, which translates to about 3.3 percent of all K-12 students. This rate is not statistically different from the percentage in 2012.


* Statistically adjusted
SOURCE: U.S. Department of Education, National Center for Education Statistics, Parent Survey of the National Household Education Surveys Program (NHES), 1999; Parent and Family Involvement in Education Survey of the NHES, 2003, 2007, 2012, and 2016.


These data come from the recently released First Look report on the Parent and Family Involvement in Education (PFI) survey from the National Household Education Surveys Program (NHES). In this survey, parents were asked a number of questions about their child’s education. Using these data, NCES is able to identify students who are schooled at home instead of school for some or all classes.[1]

So, why did parents say they homeschooled their kids? The most important reason for homeschooling in 2016 was “concern about the school environment, such as safety, drugs, or negative peer pressure,” reported by 34 percent of parents of homeschooled students. (This was also the most commonly reported reason selected by parents in 2012.)  Other reasons cited as most important by families of homeschooled students in 2016 were dissatisfaction with academic instruction at other schools (17 percent of homeschooled students’ parents) and a desire to provide religious instruction (16 percent).

The PFI survey is uniquely suited to collect data about homeschooled students because it collects data from households rather than schools or other institutions. It includes a suite of surveys designed to capture data related to learning at all ages and is ideal for trend analyses because of the repeated measures over time. The NHES:2016 First Look report for the PFI data also provides key estimates related to school communication with parents, homework, parents’ involvement in their students’ education, and homeschooling. The data will be available to researchers in the coming months. Check the NHES website for updates.

 

[1]Students who are homeschooled primarily because of a temporary illness and students who attend school for more than 25 hours per week are not counted in NCES’s estimate of homeschooling.  

Student homelessness in urban, suburban, town, and rural districts

Data from two recent NCES reports—the Condition of Education and the Digest of Education Statistics—show that student homelessness is a challenge in many different types of communities.

In 2014-15, the rate of homelessness among U.S. public school students was highest in city school districts at 3.7 percent, but was also 2.0 percent or higher in suburban, town, and rural districts. While suburban districts had the lowest rate of student homelessness, they still enrolled 422,000 homeless students, second only to the 578,000 homeless students enrolled in city districts. Smaller numbers of homeless students were enrolled in rural (149,000) and town (139,000) districts.


Figure 1. Percentage of public school students who were identified as homeless, by school district locale: School year 2014–15

NOTE: Homeless students are defined as children/youth who lack a fixed, regular, and adequate nighttime residence. For more information, see "C118 - Homeless Students Enrolled" at https://www2.ed.gov/about/inits/ed/edfacts/sy-14-15-nonxml.html. Data include all homeless students enrolled at any time during the school year. Data exclude Puerto Rico and the Bureau of Indian Education.
SOURCE: U.S. Department of Education, National Center for Education Statistics, EDFacts file 118, Data Group 655, extracted January 23, 2017, from the EDFacts Data Warehouse (internal U.S. Department of Education source). Common Core of Data (CCD), "Local Education Agency Universe Survey," 2014–15. See Digest of Education Statistics 2016, table 204.75b.


The majority of students experiencing homelessness (76 percent) were doubled up or sharing housing with other families due to loss of their own housing, economic hardship, or other reasons such as domestic violence. Seven percent were in hotels or motels; 14 percent were in shelters, transitional housing or awaiting foster care placement; and 3 percent were unsheltered.

The percentage of homeless students who were doubled up with other families ranged from 70 percent in city districts to 81 percent in rural districts. The percentage of homeless students who were housed in shelters was higher in city districts than in suburban, town, and rural districts. The percentages of homeless students who were unsheltered or living in hotels and motels varied less widely across district locale categories.


Figure 2. Percentage distribution of public school students who were identified as homeless, by primary nighttime residence and school district locale: School year 2014–15

1Refers to temporarily sharing the housing of other persons due to loss of housing, economic hardship, or other reasons (such as domestic violence).
2Includes living in cars, parks, campgrounds, temporary trailers—including Federal Emergency Management Agency (FEMA) trailers—or abandoned buildings.
NOTE: Homeless students are defined as children/youth who lack a fixed, regular, and adequate nighttime residence. For more information, see "C118 - Homeless Students Enrolled" at https://www2.ed.gov/about/inits/ed/edfacts/sy-14-15-nonxml.html. Data include all homeless students enrolled at any time during the school year. Data exclude Puerto Rico and the Bureau of Indian Education. This figure is based on state-level data.
SOURCE: U.S. Department of Education, National Center for Education Statistics, EDFacts file 118, Data Group 655, extracted January 23, 2017, from the EDFacts Data Warehouse (internal U.S. Department of Education source). Common Core of Data (CCD), "Local Education Agency Universe Survey," 2014–15. See Digest of Education Statistics 2016, table 204.75b.


The percentage of homeless students who were unaccompanied youth–meaning that they were not in the physical custody of a parent or guardian—was   highest in rural districts (9.3 percent) and lowest in suburban districts (6.9 percent). The percentage of homeless students who were English language learners was highest in urban districts (16.8 percent) and lowest in rural districts (5.9 percent), and the percentage who were migrant students was highest in town districts (3.4 percent) and lowest in urban districts (1.0 percent).

Data used in this analysis were collected under the McKinney-Vento Homeless Assistance Act of 1987. This legislation requires that school districts identify students experiencing homelessness and guarantees students’ right to enroll in public schools and access educational and transportation services. More information on this legislation and the U.S. Department of Education’s programs and resources focused on student homelessness can be found on the National Center for Homeless Education’s website.

States report aggregated data on homeless students to the U.S. Department of Education through the EDFacts collection. EDFacts covers all public school districts and provides a uniquely detailed view of student homelessness. The full data on student homelessness by school district locale is available in the Digest of Education Statistics. A broader analysis in the Condition of Education describes how student homelessness has changed over time and how it varies among states. You can view homeless student data for the 120 largest school districts here and download a dataset with information on all public school districts here.

 

 

Risk Factors and Academic Outcomes in Kindergarten through Third Grade

By Amy Rathbun, AIR and Joel McFarland

Previous NCES research has shown that students with family risk factors tend to have lower average scores than their peers on academic assessments.[1] Risk factors can include coming from a low-income family or single-parent household, not having a parent who completed high school, and living in a household where the primary language is not English. How common is it for children entering U.S. kindergartens to have certain types of family risk factors? And, how do children with risk factors at kindergarten entry perform on academic assessments compared to their peers?  A new spotlight from The Condition of Education 2017 helps to answer these questions.

The spotlight focuses on children experiencing two types of risk factors - living in poverty (i.e., in households with income below the federal poverty threshold) and not having a parent who completed high school, as well as the combination and lack of the two risk factors. Data come from the Early Childhood Longitudinal Study, Kindergarten Class of 2010–11 (ECLS-K:2011). During the 2010–11 school year, 6 percent of first-time kindergartners had both risk factors , 18 percent had the single risk factor of living in poverty, and 2 percent had the single risk factor of not having a parent who completed high school. About 75 percent had neither of these two risk factors present during their kindergarten year.


Percentage distribution of fall 2010 first-time kindergartners, by risk factors related to parent education and poverty: School year 2010–11

NOTE: Detail may not sum to totals because of rounding.
SOURCE: U.S. Department of Education, National Center for Education Statistics, Early Childhood Longitudinal Study, Kindergarten Class of 2010–11 (ECLS-K:2011), Kindergarten–Third Grade Restricted-Use Data File. See Digest of Education Statistics 2016, table 220.39.


Are there differences in the prevalence of risk factors by student and family characteristics?

There were differences in the prevalence of family risk factors in relation to children’s race/ethnicity, primary home language, and family composition. For instance, it was more common for Hispanic students (15 percent) than for Black and Asian students (8 percent each) to have both risk factors, and these percentages were all higher than the percentage for White students (1 percent). Also, 23 percent of first-time kindergartners whose primary home language was not English had both the risk factor of living in poverty and the risk factor of not having a parent who completed high school, compared with 2 percent of kindergartners whose primary home language was English.

Does children’s performance in reading, math, and science in kindergarten through third grade differ based on risk factors?

Kindergarten students living in poverty and those with no parent that completed high school tended to score lower in reading, mathematics, and science over each of their first four years of school compared to their peers who had neither risk factor at kindergarten entry. For example, in the spring of third-grade, reading scores (on a scale of 0 to 141) were higher, on average, for students who had neither risk factor (114 points) than for those with the single risk factor of living in poverty (106 points), those with the single risk factor of not having a parent who completed high school (105 points), and those with both risk factors (102 points).[2]


Average reading scale scores of fall 2010 first-time kindergartners, by time of assessment and risk factors related to parent education and poverty: Fall 2010 through spring 2014

NOTE: Estimates weighted by W7C17P_7T170. Scores on the reading assessments reflect performance on questions measuring basic skills (print familiarity, letter recognition, beginning and ending sounds, rhyming words, and word recognition); vocabulary knowledge; and reading comprehension, including identifying information specifically stated in text (e.g., definitions, facts, and supporting details), making complex inferences from texts, and considering the text objectively and judging its appropriateness and quality. Possible scores for the reading assessment range from 0 to 141.
SOURCE: U.S. Department of Education, National Center for Education Statistics, Early Childhood Longitudinal Study, Kindergarten Class of 2010–11 (ECLS-K:2011), Kindergarten–Third Grade Restricted-Use Data File. See Digest of Education Statistics 2016, table 220.40.


For more information on family risk factors and children’s achievement in reading, mathematics, and science from the fall of kindergarten through the spring of third grade, see the spotlight on this topic in The Condition of Education 2017.

[1] Given that the spring third-grade reading scores have a mean of 110.2 points and a standard deviation (SD) of 12.3 points, this would mean the average score for children who had no risk factors was about 1.0 SD higher than the score for children with no risk factors.

[2] Rathbun, A., and West, J. (2004). From Kindergarten Through Third Grade: Children's Beginning School Experiences (NCES 2004–007). U.S. Department of Education. Washington, DC: National Center for Education Statistics. Retrieved March 2, 2017, from https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2004007.

 

 

The 2017 Condition of Education Report

By Peggy Carr, Acting Commissioner of NCES

I am pleased to announce the release of the 2017 Condition of Education, a Congressionally-mandated annual report summarizing the latest data on education in the United States. This report is designed to help policymakers and the public monitor educational progress. This year’s report includes 50 indicators on topics ranging from prekindergarten through postsecondary education, as well as labor force outcomes and international comparisons. 

The Condition includes an At a Glance section, which allows readers to quickly make comparisons within and across indicators, and a Highlights section, which captures a key finding or set of findings from each indicator. The report contains a Reader’s GuideGlossary, and a Guide to Data Sources that provide additional information to help place the indicators in context. In addition, each indicator references the data tables that were used to produce the indicator, most of which are on the Digest of Education Statistics website.

In addition to the regularly-updated annual indicators, this year’s report highlights innovative data collections and analyses from across the Center with a series of spotlight indicators. Selected findings include:

  • Student risk factors (poverty and low parent educational attainment) at kindergarten entry are associated with lower academic achievement in kindergarten through grade 3;
  • 2.5 percent of students in U.S. public elementary and secondary schools were reported as homeless in 2014-15. The percentage of students reported as homeless ranged from 2.0 percent in suburban school districts to 2.4 percent in rural districts, 2.6 percent in town districts, and 3.7 percent in city districts;
  • Among first-time college students in 2011-12, the percentage of students who were still enrolled or had graduated after 3 years was higher for students who began at 4-year institutions (80 percent) than for those who began at 2-year institutions (57 percent); and
  • 16 percent of 25- to 64-year-olds who had not completed high school had one or more disabilities in 2015, compared to 4 percent of those who had completed a bachelor’s degree and 3 percent of those who had completed a master’s or higher degree. Adults with disabilities were far less likely to be employed and far more likely to not be in the labor force compared to their peers without disabilities. Among those who had obtained higher levels of education, the differences between adults with and without disabilities were smaller.

In addition, two indicators provide insights from the Center’s recent work on technology in education. The first previews key findings from the Center’s upcoming report, Student Access to Digital Learning Resources Outside of the Classroom. For example, the percent of students who use the Internet at home varied by parental education level in 2015, ranging from 42 percent for children whose parents had not completed high school to 71 percent for those whose parents had completed a bachelor’s or higher degree.  The second shows that in 2014 female students scored higher than male students on the National Assessment of Educational Progress’s 8th-grade Technology and Engineering Literacy assessment.

As new data are released, indicators will be updated and made available on the Condition of Education website. In addition, the Center produces a wide range of reports and datasets designed to help inform policymakers and the public. For more information on our latest activities and releases, please visit us online or follow us on Twitter and Facebook. You can also watch the video below for more information on the Condition of Education report.

How financially literate are U.S. 15-year-olds?

By Lauren Musu-Gillette

Individuals are required to make a large number of financial decisions throughout the course of their lifetime, and financial literacy is an important skill for tasks ranging from setting a budget to saving money for retirement. A good foundation in financial literacy can help adolescents enter higher education and the workforce with a better understanding of how to make informed decisions.

The United States participated in the Program for International Student Assessment (PISA) financial literacy assessment in order to assess the financial literacy of a nationally representative sample of U.S. 15-year-olds. Students from 14 other education systems around the world also participated. Results are also available for Massachusetts and North Carolina. A recent NCES Data Point shows how U.S. students compare to their peers in other countries.

In 2015, The U.S. average score on the PISA financial literacy assessment was not measurably different from the average of the 10 participating Organization for Economic Cooperation and Development (OECD) countries. The U.S. average was lower than the average in six education systems, higher than the average in six, and not measurably different from the average in two education systems. The U.S. average score did not change measurably from 2012–the last time the assessment was conducted–to 2015.

As part of the PISA financial literacy assessment, students were tested on their knowledge and understanding of fundamental elements of the financial world, including financial concepts, products, and risks, and their ability to apply what they know to real-life situations involving financial issues and decisions. More information about the assessment, including sample questions, is available here.


Sample Financial Literacy Assessment Question

SOURCE: Organization for Economic Cooperation and Development (OECD), Program for International Student Assessment (PISA) Financial Literacy Assessment, 2012.


Ten percent of U.S. 15-year-olds scored at the top proficiency level on financial literacy in 2015. Students reaching level 5 on the PISA assessment of financial literacy demonstrate that they can apply their understanding of a wide range of financial terms and concepts to contexts that may only become relevant to their lives in the long term.[1] The percentage of students in the United States who scored at this level was lower than the OECD average and lower than the average in five education systems. It was higher than the average score in eight education systems and not measurably different from one country (Russian Federation).


Percentage of 15-year-old students performing at PISA financial literacy proficiency level below level 2 and at level 5, by education system: 2015

*p<.05. Percentage is significantly different than the U.S. percentage at the .05 level of statistical significance.
NOTE: Education systems are ordered by 2015 percentages of 15-year-olds at level 5. The OECD average shown here is the average of the national percentages of the 10 OECD member countries that participated in the financial literacy assessment, with each education system weighted equally. B-S-J-G (China) refers to the four PISA participating China provinces: Beijing, Shanghai, Jiangsu, and Guangdong. Canadian provinces refers to the seven provinces that participated in the financial literacy assessment: British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, and Prince Edward Island. Italics indicate non-OECD countries and education systems. Results for Massachusetts and North Carolina are for public school students only. The score point ranges for the proficiency levels are shown in exhibit 1 and the standard errors of the estimates are shown in table FL3b available at http://nces.ed.gov/surveys/pisa/PISA2015/index.asp.
SOURCE: Organization for Economic Cooperation and Development (OECD), Program for International Student Assessment (PISA),2015.

 


The percentage of U.S. 15-year-old students scoring below level 2, which is considered a baseline level of proficiency by the OECD, was 22 percent.[2] The U.S. percentage of low performers in 2015 was higher than four education systems and lower than five. The U.S. percentage did not differ significantly from that of the Netherlands, Australia, Poland, Italy, Spain, and the OECD average.

There was no measurable difference in the average financial literacy assessment scores for males and females in the United States in 2015. Females scored higher than males, on average, in five countries and lower than males in one country.


Difference in average scores of 15-year-old male and female students on the PISA financial literacy scale, by education system: 2015

# Rounds to zero.
NOTE: Education systems are ordered by absolute male-female difference in 2015 average score. Differences were computed using unrounded numbers. Scores are reported on a scale from 0 to 1,000. The OECD average is the average of the national average score differences of the 10 OECD member countries, with each system weighted equally. Standard error is noted by s.e. Italics indicate non-OECD countries and education systems. B-S-J-G (China) refers to the four PISA participating China provinces: Beijing, Shanghai, Jiangsu, and Guangdong. Canadian provinces refers to the seven provinces that participated in the financial literacy assessment: British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, and Prince Edward Island. Results for Massachusetts and North Carolina are for public school students only. The average scores and standard errors are shown in table FL7.
SOURCE: Organization for Economic Cooperation and Development (OECD), Program for International Student Assessment (PISA), 2015.


For more information on the results of the PISA 2015 literacy assessment, see our recently released Data Point, or explore additional data tables on our website.

 

[1] Students scoring at this level can analyze complex financial products and can take into account features of financial documents that are significant but unstated or not immediately evident, such as transaction costs. They can work with a high level of accuracy and solve non-routine financial problems, and they can describe the potential outcomes of financial decisions, showing an understanding of the wider financial landscape, such as income tax.

[2] Students scoring at level 2 begin to apply their knowledge of common financial products and commonly used financial terms and concepts. They can use given information to make financial decisions in contexts that are immediately relevant to them. They can recognize the value of a simple budget and can interpret prominent features of everyday financial documents. They can apply single basic numerical operations, including division, to answer financial questions. They show an understanding of the relationships between different financial elements, such as the amount of use and the costs incurred. Students scoring at level 1 can identify common financial products and terms and interpret information relating to basic financial concepts. They can recognize the difference between needs and wants and can make simple decisions on everyday spending. They can recognize the purpose of everyday financial documents such as an invoice and apply single and basic numerical operations (addition, subtraction or multiplication) in financial contexts that they are likely to have experienced personally.