Number of children of official primary school age who did not attend primary or secondary school at any time during the reference academic year, expressed as a percentage of the number of official primary school age children in the household survey sample. Children attending pre-primary or non-formal education are considered out of school. The UNESCO Institute for Statistics (UIS) releases estimates of out-of-school children calculated from both administrative and household survey sources (Demographic and Health Surveys and Multiple Indicator Cluster Surveys). Administrative records and household surveys are two data sources which differ in fundamental ways: who collects the data, as well as how, when and for what purpose. As a result, the out-of-school children estimates calculated from one data source may not match those based on other data sources.

CO: Children Out of School: % of Primary School Age data was reported at 7.325 % in 2022. This records an increase from the previous number of 6.987 % for 2021. CO: Children Out of School: % of Primary School Age data is updated yearly, averaging 5.022 % from Dec 1982 (Median) to 2022, with 35 observations. The data reached an all-time high of 29.608 % in 1989 and a record low of 0.000 % in 2002. CO: Children Out of School: % of Primary School Age data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Colombia – Table CO.World Bank.WDI: Social: Education Statistics. Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Weighted average;

The dataset contains information on, 1. Primary school net attendance ratio (Primary adjusted net attendance ratio)- Number of children attending primary or secondary school who are of official primary school age, expressed as a percentage of the total number of children of official primary school age. 2. Secondary school net attendance ratio (Secondary adjusted net attendance ratio) - Number of children attending secondary or tertiary school who are of official secondary school age, expressed as a percentage of the total number of children of official secondary school age.

Vietnam VN: Children Out of School: % of Primary School Age data was reported at 1.894 % in 2013. This records an increase from the previous number of 1.798 % for 2012. Vietnam VN: Children Out of School: % of Primary School Age data is updated yearly, averaging 2.663 % from Dec 1977 (Median) to 2013, with 17 observations. The data reached an all-time high of 9.882 % in 2005 and a record low of 0.599 % in 2011. Vietnam VN: Children Out of School: % of Primary School Age data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank: Education Statistics. Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

The number of students in regular programs for youth, general programs for adults, and vocational programs for youth and adults in public and private/independent schools, and home-schooling at the elementary-secondary level, by school type and program type.

Nigeria NG: Children Out of School: % of Primary School Age data was reported at 34.051 % in 2010. This records an increase from the previous number of 34.045 % for 2009. Nigeria NG: Children Out of School: % of Primary School Age data is updated yearly, averaging 33.855 % from Dec 1999 (Median) to 2010, with 9 observations. The data reached an all-time high of 36.922 % in 1999 and a record low of 28.363 % in 2007. Nigeria NG: Children Out of School: % of Primary School Age data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Education Statistics. Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Historical Dataset of G. O. Bailey Elementary School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1987-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1987-2023),Asian Student Percentage Comparison Over Years (2002-2023),Hispanic Student Percentage Comparison Over Years (1996-2023),Black Student Percentage Comparison Over Years (1996-2023),White Student Percentage Comparison Over Years (1996-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1996-2023),Free Lunch Eligibility Comparison Over Years (1991-2023),Reduced-Price Lunch Eligibility Comparison Over Years (1999-2013),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2012-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2012-2023)

South Africa ZA: Children Out of School: Female: % of Female Primary School Age data was reported at 14.608 % in 2015. This records an increase from the previous number of 8.116 % for 2005. South Africa ZA: Children Out of School: Female: % of Female Primary School Age data is updated yearly, averaging 6.806 % from Dec 1970 (Median) to 2015, with 13 observations. The data reached an all-time high of 34.732 % in 1970 and a record low of 4.570 % in 1999. South Africa ZA: Children Out of School: Female: % of Female Primary School Age data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank: Education Statistics. Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Trinidad and Tobago TT: Children Out of School: % of Primary School Age data was reported at 1.266 % in 2010. This records a decrease from the previous number of 1.700 % for 2009. Trinidad and Tobago TT: Children Out of School: % of Primary School Age data is updated yearly, averaging 7.504 % from Dec 1971 (Median) to 2010, with 36 observations. The data reached an all-time high of 13.745 % in 1980 and a record low of 1.266 % in 2010. Trinidad and Tobago TT: Children Out of School: % of Primary School Age data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.World Bank.WDI: Education Statistics. Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Kenya KE: Children Out of School: % of Primary School Age data was reported at 16.881 % in 2012. This records a decrease from the previous number of 21.129 % for 2009. Kenya KE: Children Out of School: % of Primary School Age data is updated yearly, averaging 28.706 % from Dec 1999 (Median) to 2012, with 12 observations. The data reached an all-time high of 38.687 % in 2002 and a record low of 16.881 % in 2012. Kenya KE: Children Out of School: % of Primary School Age data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Education Statistics. Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Historical Dataset of Walnut Grove Elementary School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1987-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1987-2023),Asian Student Percentage Comparison Over Years (2004-2006),Hispanic Student Percentage Comparison Over Years (1998-2023),Black Student Percentage Comparison Over Years (1993-2023),White Student Percentage Comparison Over Years (1993-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1993-2023),Free Lunch Eligibility Comparison Over Years (1993-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2014),Reading and Language Arts Proficiency Comparison Over Years (2010-2019),Math Proficiency Comparison Over Years (2010-2019),Overall School Rank Trends Over Years (2010-2019)

Abstract (en): Beginning with the school year 2006-07, the Child Nutrition and WIC Reauthorization Act of 2004 required school districts participating in the National School Lunch Program or other child nutrition programs to adopt and implement a wellness policy. The Healthy, Hunger-Free Kids Act of 2010 continued and strengthened this requirement. This study was intended to provide detailed insight into the contents of the congressionally-mandated district wellness policies for school years 2006-07 (first year of the mandate) through 2013-14 (last year of funding-supported data collection). The data file contains coded information about the required wellness policy components, along with other components that are known to contribute to student health and wellness: nutrition education; standards for USDA child nutrition programs and school meals; nutrition standards for competitive and other foods and beverages; physical education; physical activity; staff wellness and modelling; stakeholder involvement; messaging, marketing and promotion; evaluation; and reporting. There is a separate record in the data file for each district, grade level (elementary, middle and high school) and school year combination. District non-response adjusted weights for inference to districts nationwide are stored in the variable distnrwgt_d. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Response Rates: A 94 percent response rate was achieved for school years 2006-07, 2007-08, 2010-11, and 2013-14; a 95 percent response rate was achieved for school years 2011-12 and 2012-13; and a 97 percent response rate was achieved for school years 2008-09 and 2009-10. All public school districts in the U.S. Smallest Geographic Unit: Census region All school districts included in the Bridging the Gap Food and Fitness Survey (including districts with non-responding schools) and supplementary districts that include secondary schools so that the data are representative to districts nationwide at each grade level of interest.

Additional information about the sampling design is available in the following publications:

Chriqui JF, Schneider L, Chaloupka FJ, Ide K and Pugach O. Local Wellness Policies: Assessing School District Strategies for Improving Children's Health. School Years 2006-07 and 2007-08. Chicago, IL: Bridging the Gap Program, Health Policy Center, Institute for Health Research and Policy, University of Illinois at Chicago, 2009, www.bridgingthegapresearch.org.

Chriqui JF, Schneider L, Chaloupka FJ, Gourdet C, Bruursema A, Ide K and Pugach O. School District Wellness Policies: Evaluating Progress and Potential for Improving Children's Health Three Years after the Federal Mandate. School Years 2006-07, 2007-08 and 2008-09. Vol. 2. Chicago, IL: Bridging the Gap Program, Health Policy Center, Institute for Health Research and Policy, University of Illinois at Chicago, 2010, www.bridgingthegapresearch.org.

Chriqui JF, Resnick EA, Schneider L, Schermbeck R, Adcock T, Carrion V, Chaloupka FJ. School District Wellness Policies: Evaluating Progress and Potential for Improving Children's Health Five Years after the Federal Mandate. School Years 2006-07 through 2010-11. Volume 3. Chicago, IL: Bridging the Gap Program, Health Policy Center, Institute for Health Research and Policy, University of Illinois at Chicago, 2013, www.bridgingthegapresearch.org.

Piekarz E, Schermbeck R, Young SK, Leider J, Ziemann M, Chriqui JF. School District Wellness Policies: Evaluating Progress and Potential for Improving Children's Health Eight Years after the Federal Mandate. School Years 2006-07 through 2013-14. Volume 4. Chicago, IL: Bridging the Gap Program and the National Wellness Policy Study, Institute for Health Research and Policy, University of Illinois at Chicago, 2016, www.go.uic.edu/NWPSproducts. Funding insitution(s): Robert Wood Johnson Foundation (52913). Robert Wood Johnson Foundation (64702). Robert Wood Johnson Foundation (70157). Robert Wood Johnson Foundation (71254). Project staff obtained hard copies of written policies which were o...

Ecuador EC: Children Out of School: Female: % of Female Primary School Age data was reported at 1.007 % in 2017. This records an increase from the previous number of 0.830 % for 2016. Ecuador EC: Children Out of School: Female: % of Female Primary School Age data is updated yearly, averaging 4.706 % from Dec 1971 (Median) to 2017, with 24 observations. The data reached an all-time high of 20.724 % in 1971 and a record low of 0.757 % in 2001. Ecuador EC: Children Out of School: Female: % of Female Primary School Age data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ecuador – Table EC.World Bank.WDI: Education Statistics. Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

MT: Children Out of School: % of Primary School Age data was reported at 2.430 % in 2016. This records an increase from the previous number of 1.513 % for 2015. MT: Children Out of School: % of Primary School Age data is updated yearly, averaging 4.699 % from Dec 1971 (Median) to 2016, with 33 observations. The data reached an all-time high of 21.163 % in 1973 and a record low of 0.597 % in 2013. MT: Children Out of School: % of Primary School Age data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.World Bank: Education Statistics. Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Participation rate in education, population aged 18 to 34, by age group and type of institution attended, Canada, provinces and territories. This table is included in Section E: Transitions and outcomes: Transitions to postsecondary education of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Historical Dataset of Hayes Elementary School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1987-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1991-2023),American Indian Student Percentage Comparison Over Years (2001-2011),Asian Student Percentage Comparison Over Years (1988-1996),Hispanic Student Percentage Comparison Over Years (1991-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2011-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1991-2023),Reduced-Price Lunch Eligibility Comparison Over Years (1999-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2012-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2012-2023)

Historical Dataset of Rossville Elementary School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1996-2023),Total Classroom Teachers Trends Over Years (1996-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1996-2023),Asian Student Percentage Comparison Over Years (1998-2023),Hispanic Student Percentage Comparison Over Years (1996-2023),Black Student Percentage Comparison Over Years (1995-2023),White Student Percentage Comparison Over Years (1996-2023),Two or More Races Student Percentage Comparison Over Years (2011-2023),Diversity Score Comparison Over Years (2003-2023),Free Lunch Eligibility Comparison Over Years (1996-2023),Reduced-Price Lunch Eligibility Comparison Over Years (1999-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2012-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2012-2023)

NL: Over-Age Students: Primary: Male: % of Male Enrollment data was reported at 6.220 % in 2016. This records a decrease from the previous number of 6.553 % for 2015. NL: Over-Age Students: Primary: Male: % of Male Enrollment data is updated yearly, averaging 7.956 % from Dec 1971 (Median) to 2016, with 43 observations. The data reached an all-time high of 9.128 % in 1983 and a record low of 3.743 % in 1992. NL: Over-Age Students: Primary: Male: % of Male Enrollment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Netherlands – Table NL.World Bank: Education Statistics. Over-age students are the percentage of those enrolled who are older than the official school-age range for primary education.; ; UNESCO Institute for Statistics; ;

This dataset displays public elementary and secondary schools throughout the country that are either single-sex schools or offer single-sex classes for the 2008-2009 school year. For the 2008-2009 school year, there are at least 392 public schools in the United States offering single-sex educational opportunities. Most of those schools are COED schools which offer single-sex CLASSROOMS, but which retain at least some coed activities. In some cases, the only coed activities are lunch and one or two electives, so the distinction between a single-sex school, and a coed school with single-sex classrooms, can become a semantic quibble. From March 2002 through July 2007, we tried to make a distinction between single-sex schools, on the one hand, and coed schools with single-sex classes, on the other hand. We listed single-sex schools on one web page, while coed schools with single-sex classes were listed on a separate web page. As it became increasingly obvious that the distinction was often arbitrary, we decided in August 2007 to begin listing all public schools offering single-sex classrooms on the same web page, which is this page. By our count, 97 of the 392 schools below qualify as single-sex schools, meaning that students attending any of those 97 schools have all their school activities -- including lunch and all electives -- in a setting which is all-boys or all-girls. Most of those 97 schools are single-sex campuses, such as the The Ann Richards School for Young Women which opened in Austin, Texas in August 2007. Note: Schools which offer single-sex classes only in physical education and/or health and/or sex education are NOT listed here. In addition, correctional schools for adjudicated delinquent juveniles are not listed here.

This dataset explores Percentage of eighth-grade public school students and average scores in NAEP writing by race and state, USA, 2007 Notes: Not available. The state/jurisdiction did not participate. # Rounds to zero. Reporting standards not met. Sample size is insufficient to permit a reliable estimate. NOTE: Black includes African American, Hispanic includes Latino, and Pacifi c Islander includes Native Hawaiian. Race categories exclude Hispanic origin. Results are not shown for students whose race/ethnicity was unclassified Detail may not sum to totals because of rounding. SOURCE: U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2007 Writing Assessment.