Historical Dataset of Robert A. Taft Information Technology High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1990-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1990-2023),Asian Student Percentage Comparison Over Years (2010-2014),Hispanic Student Percentage Comparison Over Years (2021-2023),Black Student Percentage Comparison Over Years (1992-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2012-2023),Diversity Score Comparison Over Years (1992-2023),Free Lunch Eligibility Comparison Over Years (1992-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2015),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)

All Taiwan Senior High School Department Information

This dataset contains records for each public elementary and secondary school in the 50 states, the District of Columbia, and outlying areas (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands) in fall 1979. The project permits the educational community to draw statistically valid samples from which state or national estimates can be made and also provides a mailing list of school systems. Significant variables include name, address, county, grade span, size of system, number of schools, and Standard Metropolitan Statistical Area (SMSA) designation.

Data includes: board and school information, grade 3 and 6 EQAO student achievements for reading, writing and mathematics, and grade 9 mathematics EQAO and OSSLT. Data excludes private schools, Education and Community Partnership Programs (ECPP), summer, night and continuing education schools. How Are We Protecting Privacy? Results for OnSIS and Statistics Canada variables are suppressed based on school population size to better protect student privacy. In order to achieve this additional level of protection, the Ministry has used a methodology that randomly rounds a percentage either up or down depending on school enrolment. In order to protect privacy, the ministry does not publicly report on data when there are fewer than 10 individuals represented. * Percentages depicted as 0 may not always be 0 values as in certain situations the values have been randomly rounded down or there are no reported results at a school for the respective indicator. * Percentages depicted as 100 are not always 100, in certain situations the values have been randomly rounded up. The school enrolment totals have been rounded to the nearest 5 in order to better protect and maintain student privacy. The information in the School Information Finder is the most current available to the Ministry of Education at this time, as reported by schools, school boards, EQAO and Statistics Canada. The information is updated as frequently as possible. This information is also available on the Ministry of Education's School Information Finder website by individual school. Descriptions for some of the data types can be found in our glossary. School/school board and school authority contact information are updated and maintained by school boards and may not be the most current version. For the most recent information please visit: https://data.ontario.ca/dataset/ontario-public-school-contact-information.

According to a survey conducted in 2022, ** percent of college-bound students in the United States said that college websites were an important resource for their college research. In comparison, ** percent found net price calculators to be an important resource for their college research.

The Elementary-Secondary Education Statistics Project (ESESP) is a national pilot survey that enables Statistics Canada to provide information on enrolments, graduates, educators and finance of Canadian elementary-secondary public educational institutions. This information is used mainly to meet policy and planning needs in the field of elementary-secondary education. ESESP annually collects aggregate data from each jurisdiction. Specifically, the information on enrolments pertains to the following four programs: regular, minority and second languages, Aboriginal language and special needs education. The information on regular programs is collected by type of programs (regular, upgrading and professional), education sector (youth or adult), grade and sex. The one on minority and second language programs is collected by type program (immersion, as language of instruction, as a subject taught) and by grade. Information on Aboriginal language programs is requested by type of Aboriginal language (immersion, as language of instruction, as a subject taught) and by grade. Finally, data on special needs education are collected by type of disability (sensory, physical and intellectual disabilities -- low incidence disabilities, learning disabilities and behavioural disabilities -- high incidence disabilities, to compensate for the socio-economic status (SES) or other disadvantages), type of class (regular, special) and by sex. The survey also collects data on secondary school graduates by type of program (regular, upgrading and professional), sector (youth and adult), age and sex. Graduation counts rates can be produced from this data. Information pertaining to full-time and part-time educators by age group and sex is also collected. Finally, ESESP also gathers expenditures data pertaining to level of government (school board and other government) and type of expenditures. This data is collected to determine how much is spent in relative detail by school boards and by provincial/territorial total. It also collects expenditures on special needs education programs. The information on elementary-secondary education statistics is used by provincial and territorial departments or ministries of education, national and provincial teachers' and students' associations, school boards, journalists and researchers, as well as international bodies such as OECD and UNESCO. ESESP was first introduced by Statistics Canada in 2003. The goal of this pilot project is to replace the following surveys as the official collection tools for elementary-secondary enrolments, graduates, educators and finance data: Elementary-Secondary School Enrolment Survey (ESSE -- Survey #3128), Minority and Second Language Education -- Elementary and Secondary Levels Survey (Survey #3129), Secondary School Graduates Survey (SSGS -- Survey #5082), Elementary-Secondary Education Staff Survey (ESESS -- Survey #3127) The ESESP has been replaced by the Elementary-Secondary Education Survey (ESES).

The National Center for Education Statistics' (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated point locations (latitude and longitude) for public elementary and secondary schools included in the NCES Common Core of Data (CCD). The CCD program annually collects administrative and fiscal data about all public schools, school districts, and state education agencies in the United States. The data are supplied by state education agency officials and include basic directory and contact information for schools and school districts, as well as characteristics about student demographics, number of teachers, school grade span, and various other administrative conditions. CCD school and agency point locations are derived from reported information about the physical location of schools and agency administrative offices. The point locations and administrative attributes in this data layer represent the most current CCD collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations. For more information about these CCD attributes, as well as additional attributes not included, see: https://nces.ed.gov/ccd/files.asp.Notes:-1 or MIndicates that the data are missing.-2 or NIndicates that the data are not applicable.-9Indicates that the data do not meet NCES data quality standards.Collections are available for the following years:2022-232021-222020-212019-202018-192017-18All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data. Collections are available for the following years:

Historical Dataset of Information Technology High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2005-2023),Total Classroom Teachers Trends Over Years (2007-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2007-2023),American Indian Student Percentage Comparison Over Years (2013-2023),Asian Student Percentage Comparison Over Years (2005-2023),Hispanic Student Percentage Comparison Over Years (2005-2023),Black Student Percentage Comparison Over Years (2005-2023),White Student Percentage Comparison Over Years (2005-2023),Diversity Score Comparison Over Years (2005-2023),Free Lunch Eligibility Comparison Over Years (2006-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2006-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)

Report on Demographic Data in New York City Public Schools, 2020-21Enrollment counts are based on the November 13 Audited Register for 2020. Categories with total enrollment values of zero were omitted. Pre-K data includes students in 3-K. Data on students with disabilities, English language learners, and student poverty status are as of March 19, 2021. Due to missing demographic information in rare cases and suppression rules, demographic categories do not always add up to total enrollment and/or citywide totals. NYC DOE "Eligible for free or reduced-price lunch” counts are based on the number of students with families who have qualified for free or reduced-price lunch or are eligible for Human Resources Administration (HRA) benefits. English Language Arts and Math state assessment results for students in grade 9 are not available for inclusion in this report, as the spring 2020 exams did not take place. Spring 2021 ELA and Math test results are not included in this report for K-8 students in 2020-21. Due to the COVID-19 pandemic’s complete transformation of New York City’s school system during the 2020-21 school year, and in accordance with New York State guidance, the 2021 ELA and Math assessments were optional for students to take. As a result, 21.6% of students in grades 3-8 took the English assessment in 2021 and 20.5% of students in grades 3-8 took the Math assessment. These participation rates are not representative of New York City students and schools and are not comparable to prior years, so results are not included in this report. Dual Language enrollment includes English Language Learners and non-English Language Learners. Dual Language data are based on data from STARS; as a result, school participation and student enrollment in Dual Language programs may differ from the data in this report. STARS course scheduling and grade management software applications provide a dynamic internal data system for school use; while standard course codes exist, data are not always consistent from school to school. This report does not include enrollment at District 75 & 79 programs. Students enrolled at Young Adult Borough Centers are represented in the 9-12 District data but not the 9-12 School data. “Prior Year” data included in Comparison tabs refers to data from 2019-20. “Year-to-Year Change” data included in Comparison tabs indicates whether the demographics of a school or special program have grown more or less similar to its district or attendance zone (or school, for special programs) since 2019-20. Year-to-year changes must have been at least 1 percentage point to qualify as “More Similar” or “Less Similar”; changes less than 1 percentage point are categorized as “No Change”. The admissions method tab contains information on the admissions methods used for elementary, middle, and high school programs during the Fall 2020 admissions process. Fall 2020 selection criteria are included for all programs with academic screens, including middle and high school programs. Selection criteria data is based on school-reported information. Fall 2020 Diversity in Admissions priorities is included for applicable middle and high school programs. Note that the data on each school’s demographics and performance includes all students of the given subgroup who were enrolled in the school on November 13, 2020. Some of these students may not have been admitted under the admissions method(s) shown, as some students may have enrolled in the school outside the centralized admissions process (via waitlist, over-the-counter, or transfer), and schools may have changed admissions methods over the past few years. Admissions methods are only reported for grades K-12. "3K and Pre-Kindergarten data are reported at the site level. See below for definitions of site types included in this report. Additionally, please note that this report excludes all students at District 75 sites, reflecting slightly lower enrollment than our total of 60,265 students

This Public Schools feature dataset is composed of all Public elementary and secondary education facilities in the United States as defined by the Common Core of Data (CCD, https://nces.ed.gov/ccd/ ), National Center for Education Statistics (NCES, https://nces.ed.gov ), US Department of Education for the 2017-2018 school year. This includes all Kindergarten through 12th grade schools as tracked by the Common Core of Data. Included in this dataset are military schools in US territories and referenced in the city field with an APO or FPO address. DOD schools represented in the NCES data that are outside of the United States or US territories have been omitted. This feature class contains all MEDS/MEDS+ as approved by NGA. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the Place Keyword section of the metadata. This release includes the addition of 3065 new records, modifications to the spatial location and/or attribution of 99,287 records, and removal of 2996 records not present in the NCES CCD data.

Historical Dataset of Hope Information Technology High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2005-2012),Total Classroom Teachers Trends Over Years (2005-2012),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2005-2012),American Indian Student Percentage Comparison Over Years (2006-2012),Asian Student Percentage Comparison Over Years (2005-2012),Hispanic Student Percentage Comparison Over Years (2005-2012),Black Student Percentage Comparison Over Years (2005-2012),White Student Percentage Comparison Over Years (2005-2012),Two or More Races Student Percentage Comparison Over Years (2011-2012),Diversity Score Comparison Over Years (2005-2012),Free Lunch Eligibility Comparison Over Years (2005-2012),Reduced-Price Lunch Eligibility Comparison Over Years (2005-2012),Reading and Language Arts Proficiency Comparison Over Years (2010-2012),Math Proficiency Comparison Over Years (2010-2012),Overall School Rank Trends Over Years (2010-2012),Graduation Rate Comparison Over Years (2011-2012)

Statistical item definition:(1) Number of schools: refers to the number of schools that have advanced classes (schools) in senior high schools.(2) Number of classes: refers to the number of classes in each grade.(3) Number of students: based on the number of students enrolled, including newly registered students, transfer students, returning students, and repeat students. Repeat students refer to those who fail the semester exam and makeup exam and need to repeat the year, including those who are enrolled or transferred back to repeat the year.(4) Extended students: refers to students who have not completed the required subjects and credits, and have extended their study period (including extended students 1 and 2), and students who are studying as of September 30 (those who completed their extension before September 30 are not included). If students have not yet confirmed their return to extend their study or have already entered a university, they are not included in this data statistics.(5) Number of graduates from the previous academic year: refers to the number of students who have completed the required subjects and credits, and meet the graduation requirements for the previous academic year (including those who qualify for graduation through extension before the start of the new academic year).

This dataset shows all high schools that were included in the 2020 TEA 4-year graduation rate report, and indicates their street address, zip code, district, and type of school (private/charter).

Graph and download economic data for Other Financial Information: Estimated Market Value of Owned Home by Education: Less Than High School Graduate (CXU800721LB1303M) from 1995 to 2012 about no college, owned, market value, information, secondary schooling, secondary, financial, education, housing, estimate, and USA.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from State officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to States and school districts. TIGER/Line Shapefiles include separate shapefiles for elementary, secondary and unified school districts. The school district boundaries are those in effect for the 2019-2020 school year, i.e., in operation as of January 1, 2020.

In 2023, around 23.5 percent of high school dropouts were unemployed, compared to 15.8 percent of graduates. See the United States unemployment rate and the monthly unemployment rate for further information. Unemployment among high school dropouts and high school graduatesAs seen from the timeline above, high school graduates are generally employed at a higher rate than individuals who had dropped out of high school. Since 2000, the share of high school dropouts to be employed has risen and fallen. Unemployment of high school dropouts reached a low in 2020 at 7.5 percent, falling well below graduates. In 2021, 90.1 percent of the U.S. population who were aged 25 and above had graduated from high school. Unemployment of high school graduates not enrolled in college is much higher than the national unemployment rate in the United States. As of 2021, unemployment in the U.S. was at 5.3 percent, down from a high of 9.6 percent unemployment in 2010, the highest yearly rate in ten years. Nationwide, unemployment is worst among farming, fishing, and forestry occupations, with a rate of 5.1 percent in May 2022, followed by construction and extraction occupations and transportation and material moving occupations. Not only were more than 7.5 percent of high school dropouts unemployed in 2021, but working high school dropouts earned less on average than individuals of any other level of educational attainment. In 2020, mean earnings of individuals who had not graduated from high school were about 26,815 U.S. dollars annually, compared to 39,498 dollars among high school graduates and 73,499 dollars among those with a Bachelor's degree.

Graph and download economic data for Other Financial Information: Other Money Receipts by Education: High School Graduate with Some College (CXUOTHRMONYLB1305M) from 1995 to 2012 about no college, receipts, information, secondary schooling, secondary, financial, education, and USA.

Historical Dataset of Information Technology & Software Engineering Magnet High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2014-2023),Total Classroom Teachers Trends Over Years (2014-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2014-2023),Asian Student Percentage Comparison Over Years (2014-2023),Hispanic Student Percentage Comparison Over Years (2014-2023),Black Student Percentage Comparison Over Years (2014-2023),White Student Percentage Comparison Over Years (2014-2023),Two or More Races Student Percentage Comparison Over Years (2014-2023),Diversity Score Comparison Over Years (2014-2023),Free Lunch Eligibility Comparison Over Years (2014-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2014-2023),Reading and Language Arts Proficiency Comparison Over Years (2015-2022),Math Proficiency Comparison Over Years (2015-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2015-2022),Graduation Rate Comparison Over Years (2016-2022)

Historical Dataset of Queens High School For Information Research And Technology is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2009-2023),Total Classroom Teachers Trends Over Years (2009-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2009-2023),American Indian Student Percentage Comparison Over Years (2011-2023),Asian Student Percentage Comparison Over Years (2009-2023),Hispanic Student Percentage Comparison Over Years (2009-2023),Black Student Percentage Comparison Over Years (2009-2023),White Student Percentage Comparison Over Years (2009-2023),Two or More Races Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2009-2023),Free Lunch Eligibility Comparison Over Years (2013-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2013-2023),Reading and Language Arts Proficiency Comparison Over Years (2012-2022),Math Proficiency Comparison Over Years (2012-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2012-2022),Graduation Rate Comparison Over Years (2012-2022)

This data collection contains information from the first wave of High School and Beyond (HSB), a longitudinal study of American youth conducted by the National Opinion Research Center on behalf of the National Center for Education Statistics (NCES). Data were collected from 58,270 high school students (28,240 seniors and 30,030 sophomores) and 1,015 secondary schools in the spring of 1980. Many items overlap with the NCES's NATIONAL LONGITUDINAL STUDY OF THE CLASS OF 1972 (ICPSR 8085). The HSB study's data are contained in eight files. Part 1 (School Data) contains data from questionnaires completed by high school principals about various school attributes and programs. Part 2 (Student Data) contains data from surveys administered to students. Included are questionnaire responses on family and religious background, perceptions of self and others, personal values, extracurricular activities, type of high school program, and educational expectations and aspirations. Also supplied are scores on a battery of cognitive tests including vocabulary, reading, mathematics, science, writing, civics, spatial orientation, and visualization. To gather the data in Part 3 (Parent Data), a subsample of the seniors and sophomores surveyed in HSB was drawn, and questionnaires were administered to one parent of each of 3,367 sophomores and of 3,197 seniors. The questionnaires contain a number of items in common with the student questionnaires, and there are a number of items in common between the parent-of-sophomore and the parent-of-senior questionnaires. This is a revised file from the one originally released in Autumn 1981, and it includes 22 new analytically constructed variables imputed by NCES from the original survey data gathered from parents. The new data are concerned primarily with the areas of family income, liabilities, and assets. Other data in the file concentrate on financing of post-secondary education, including numerous parent opinions and projections concerning the educational future of the student, anticipated financial aid, student's plans after high school, expected ages for student's marriage and childbearing, estimated costs of post-secondary education, and government financial aid policies. Also supplied are data on family size, value of property and other assets, home financing, family income and debts, and the age, sex, marital, and employment status of parents, plus current income and expenses for the student. Part 4 (Language Data) provides information on each student who reported some non-English language experience, with data on past and current exposure to and use of languages. In Parts 5-6, there are responses from 14,103 teachers about 18,291 senior and sophomore students from 616 schools. Students were evaluated by an average of four different teachers who had the opportunity to express knowledge or opinions of HSB students whom they had taught during the 1979-1980 school year. Part 5 (Teacher Comment Data: Seniors) contains 67,053 records, and Part 6 (Teacher Comment Data: Sophomores) contains 76,560 records. Questions were asked regarding the teacher's opinions of their student's likelihood of attending college, popularity, and physical or emotional handicaps affecting school work. The sophomore file also contains questions on teacher characteristics, e.g., sex, ethnic origin, subjects taught, and time devoted to maintaining order. The data in Part 7 (Twins and Siblings Data) are from students in the HSB sample identified as twins, triplets, or other siblings. Of the 1,348 families included, 524 had twins or triplets only, 810 contained non-twin siblings only, and the remaining 14 contained both types of siblings. Finally, Part 8 (Friends Data) contained the first-, second-, and third-choice friends listed by each of the students in Part 2, along with identifying information allowing links between friendship pairs. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR as four separate datasets here:

1980: https://doi.org/10.3886/ICPSR07896.v2

1982: https://doi.org/10.3886/ICPSR08297.v3

1984: https://doi.org/10.3886/ICPSR08443.v1

1986: https://doi.org/10.3886/ICPSR08896.v3

We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.