This dataset tracks annual science proficiency from 2021 to 2022 for Lewiston Porter Senior High School vs. New York and Lewiston-Porter Central School District

This dataset tracks annual math proficiency from 2011 to 2022 for Lewiston Porter Senior High School vs. New York and Lewiston-Porter Central School District

The High School Longitudinal Study of 2009 (HSLS:09) is nationally representative, longitudinal study of 9th graders who were followed through their secondary and postsecondary years, with an emphasis on understanding students' trajectories from the beginning of high school into postsecondary education, the workforce, and beyond. What students decide to pursue when, why, and how are crucial questions for HSLS:09. The HSLS:09 focuses on answering the following questions: How do parents, teachers, counselors, and students construct choice sets for students, and how are these related to students' characteristics, attitudes, and behavior? How do students select among secondary school courses, postsecondary institutions, and possible careers? How do parents and students plan financing for postsecondary experiences? What sources inform these plans? What factors influence students' decisions about taking STEM courses and following through with STEM college majors? Why are some students underrepresented in STEM courses and college majors? How students' plans vary over the course of high school and how decisions in 9th grade impact students' high school trajectories. When students are followed up in the spring of 11th grade and later, their planning and decision-making in 9th grade may be linked to subsequent behavior. This data collection also provides data for some arts-related topics, including the following: student participation in outside of schools arts activities; credit hours of arts classes taken; GPA from arts classes; and parent-led arts experiences. For the public-use file, a total of 23,503 students responded from over 900 high schools both public and private.

This replication archive containes the replication files that reproduce all the figures and tables in “The Value of a High School GPA”. The replication archive also includes a readme file with information on data availability and the list of all datasets and variables used in the paper, followed by information on directory structure, computational requirements, and a description of all the codes used. No table or figure can be reproduced without access to the confidential data used in the paper.

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Grossmont-Union-High-School-District.

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Victor-Valley-Union-High-School-District.

This dataset includes publicly available data published primarily by the Pennsylvania Department of Education and the Pennsylvania Office of Safe Schools. The dataset was created by combining several publications by the Pennsylvania Department of Education, including the 2017 School Fast Fact database, 2016-2017 Academic Performance database, and the 2017 Keystone Score database. The dataset includes institutional (school-wide) variables for every public high school in Pennslyvania (n = 407 ). The data includes information surrounding each institution's socio-economic status, racial composition, academic performance, and type of and total use of exclusionary discipline (in-school suspension, out-of-school suspension, and expulsion) for the school year 2016-2017. The dataset also includes neighborhood information for each school location. This data was collected from AreaVibes, a website known for its ability to guide individuals in their search for ideal residential areas in the United States and Canada. AreaVibes deploys a unique algorithm that evaluates multiple different data points for each location, including amenities, cost of living, crime rates, employment, housing, schools, and user ratings. This dataset deployed AreaVibes to input the physical addresses of each high school in order to retrieve the livability score for the surrounding neighborhoods of these educational institutions. Furthermore, the website was instrumental in collecting neighborhood crime scores, offering valuable insights into the levels of criminal activity within specific geographic zones. The crime score takes into account both violent crime and property crime. However, higher weights are given to violent crimes (65%) than property crime (35%) as they are more severe. Data for calculation by Areavibes is derived from FBI Uniform Crime Report.School discipline is crucial for ensuring safety, well-being, and academic success. However, the continued use of exclusionary discipline practices, such as suspension and expulsion, has raised concerns due to their ineffectiveness and harmful effects on students. Despite compelling evidence against these practices, many educational institutions persist in relying on them. This persistence has led to a troubling reality—a racial and socioeconomic discipline gap in schools. This data is used to explore the evident racial and socioeconomic disparities within high school discipline frameworks, shedding light on the complex web of factors that contribute to these disparities and exploring potential solutions. Drawing from social disorganization theory, the data explores the interplay between neighborhood and school characteristics, emphasizing the importance of considering the social context of schools.

The first line includes each question and the rest of the tuples include one answer per each filled survey. Depending on the type of high school studies, you find one different survey, because the questions are adapted to each particular high school education.

This dataset includes boundaries for all school district boundaries within the state of Wisconsin. By law, all territory in the state must be included within a public school district. The US Census Bureau identifies three types of school districts. Unified school districts serve children of all grade levels, Elementary primarily serve students in the elementary grades, and Secondary primarily serve children in grades 9-12. Out of 421 school districts in Wisconsin, 43 are considered elementary districts, 10 are secondary districts, and 368 are unified districts. Elementary and secondary school districts overlap. This layer is an aggregate of county-submitted data for school district boundaries. Each year, there is a chance for reorganizations to take place that either transfer territory between school districts or consolidate/dissolve/create districts. These reorganizations go into effect on July 1st of each year. In 2025, there were thirteen (13) reorganizations that involved unified school districts. There weren't any reorganizations involving secondary and elementary districts. The reorganizations took place in Calumet, Dane, Dunn, La Crosse, Ozaukee, St. Croix, Sauk, and Sheboygan counties. Transfers of territory took place between the following pairs of districts: River Valley and Sauk Prairie, Plymouth and Elkhart Lake-Glenbeulah, Eau Claire Area and Elk Mound Area, Holman and Onalaska, Verona Area and Madison Metropolitan, River Falls and Hudson, Durand-Arkansaw and Eau Claire Area, Chilton and Stockbridge, and Grafton and Cedarburg. Please refer to the property transfer log for more information.This is not an official authoritative statewide dataset for school district boundaries nor does one exist for Wisconsin. These boundaries are updated annually around July 1 to reflect boundary changes from the reorganization process and as needed throughout the rest of the year.

Brunner, E. J., Dougherty, S. M., and Ross, S. L., (2023). “The Effects of Career and Technical Education: Evidence from the Connecticut Technical High School System.” Review of Economics and Statistics 105:4, 867–882.

Feature layer generated from running the Find Existing Locations solutions for SchoolsFreeReducedPriceLunchEligibility2017to18.Expression SchoolsFreeReducedPriceLunchEligibility2017to18 where City is 'Minneapolis' and SchoolsFreeReducedPriceLunchEligibility2017to18 where SchoolType is 'Secondary and Senior High Schools' and SchoolsFreeReducedPriceLunchEligibility2017to18 where TotalStudents is less than 1100

Determination of school grades from the classes 9 and 10 of high school as well as from leaving certificates (high school graduation grades); change of school and school degree; repeating a school year; planned college subjects; college goals and occup

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company SHINJOKITA-HIGHSCHOOL-AN-ALUMNI-ASSOCIATION.

This paper finds that a student's share of opposite gender school friends negatively affects high school GPA. It uses the gender composition of schoolmates in an individual's neighborhood as an instrument for the gender composition of an individual's self-reported friendship network. The effect occurs across all subjects for students older than 16, but only in mathematics and science for younger students. Additional results indicate effects may operate inside the classroom through difficulties getting along with the teacher and paying attention, and outside the classroom through romantic relationships. (JEL I21, J13, J16)

Korea Not in Labour Force: Female: High School data was reported at 3,507.000 Person th in Oct 2018. This records an increase from the previous number of 3,503.000 Person th for Sep 2018. Korea Not in Labour Force: Female: High School data is updated monthly, averaging 3,599.000 Person th from Jun 1999 (Median) to Oct 2018, with 233 observations. The data reached an all-time high of 3,868.000 Person th in Feb 2013 and a record low of 3,443.000 Person th in Nov 2007. Korea Not in Labour Force: Female: High School data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.G012: 4 Weeks Job Search: Not in Labour Force: By Education Attainment.

The influence of the teacher in the fourth elementary school grade on the chances of schoolchildren to transfer to one of the three secondary schools: high school, secondary school and junior high school.

Topics: 1. Attitudes to talent distribution and talent inheritance; assessment of equality of distribution of talents in all social classes and discrimination against underclass children; inheritability of character traits; tasks and educational goals of the school; possibilities of the school to develop talents; importance of school education for girls; semantic differential of the ´talented schoolchild´; criteria for judgement on the readiness of a schoolchild for secondary school and difficulties in evaluating the school development of a ten-year-old child; image of the types of school (semantic differentials); importance of school subjects; attitude to financial support for education; criteria for the selection of secondary school or high school; demands on teacher training and teaching activity.

1. Regarding the schoolchild being investigated: judgement on work attitude and achievement status of the schoolchild; semantic differential of his characteristics; popularity with teacher; contact of teacher with parents; teacher recommendation for transfer and assumed wish of parents; school grades in arithmetic, spelling and German.

2. Social statistical data about teacher, class and school: number of children; number of service years; social origins of teacher; number of schoolchildren and proportion of girls, Catholics and transfers to high school and secondary school; general judgement on the class.

Demography: age (classified); sex; marital status; number of children; religious denomination; social origins.

Interviewer rating: qualitative judgement on length of interview; number of contact attempts.

Also encoded were: aggregate data about the school; figures on graduates going to secondary school and high school; religious affiliation of the schoolchildren.

Secondary school catchment areas in Highland. Gemini metadata record is at https://www.spatialdata.gov.scot/geonetwork/srv/eng/catalog.search#/metadata/%7Be7b26e01-6aa9-4a91-8f7d-7e4f5bc631c1%7D.

This dataset tracks annual asian student percentage from 1991 to 2023 for Camelback High School vs. Arizona and Phoenix Union High School District (4286)

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company SPRINGFIELD-HIGH-SCHOOL.

In 2021, the gross enrollment ratio for secondary school students in Egypt increased by *** percentage points (***** percent) compared to 2020. Therefore, the gross enrollment ratio in Egypt reached a peak in 2021 with ***** percent. The gross secondary school enrollment rate is the number of students enrolled in secondary education as a share of the population belonging to the official secondary education age group. The gross rate includes enrollees who are younger or older than the official age group, which might lead to percentages over 100 percent.Find more statistics on other topics about Egypt with key insights such as youth literacy rate (people aged 15-24), gross tertiary enrollment ratio, and number of children out of school.