The National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated school district boundary composite files that include public elementary, secondary, and unified school district boundaries clipped to the U.S. shoreline. School districts are special-purpose governments and administrative units designed by state and local officials to provide public education for local residents. District boundaries are collected for NCES by the U.S. Census Bureau to develop demographic estimates and to support educational research and program administration. The NCES Common Core of Data (CCD) program is an annual collection of basic administrative characteristics for all public schools, school districts, and state education agencies in the United States. These characteristics are reported by state education officials and include directory information, number of students, number of teachers, grade span, and other conditions. The administrative attributes in this layer were developed from the most current CCD collection available. For more information about NCES school district boundaries, see: https://nces.ed.gov/programs/edge/Geographic/DistrictBoundaries. For more information about CCD school district attributes, 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:2021-222020-212019-202018-192017-18All 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.

Abstract (en): This dataset contains records for each public elementary and secondary school in the 50 states, the District of Columbia, United States territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands), and Department of Defense schools outside the United States for 1996-1997. Records in this file provide the National Center for Education Statistics and state identification numbers, name and ID number of the agency operating the school, name, address, and phone number of the school, school type (regular, special education, vocational education, alternative), locale code (seven categories from urban to rural), number of students by grade and ungraded, number of students eligible for free lunch, and number of students by five race/ethnic categories. 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.. All public elementary and secondary schools in the 50 states, the District of Columbia, United States territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands), and Department of Defense schools outside the United States during 1996-1997. (1) The data contain high ASCII, accented Spanish characters. (2) Users are encouraged to check the NCES homepage (http://www.ed.gov/NCES/ccd/) for additional information on this collection. (3) The codebook and instruction manual are provided as Portable Document Format (PDF) files. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided through the ICPSR Website on the Internet.

This file, part of a data collection effort carried out annually from 1968-1974 to look at issues of school desegregation, contains selected school district-level racial and ethnic data about students and staff for the academic year 1971-1972. The data were collected using OCR Form OS/CR 101. Each district record for each separate year of the series is identical, containing fields for all district data elements surveyed in every year. Where a particular item was not surveyed for a specific year, its corresponding field is zero (for numeric fields) or blank (for alphanumeric fields). Counts of students in various racial and ethnic groups are provided and then further categorized across additional dimensions, including whether resident or non-resident, emotionally disturbed, physically or learning disabled, or requiring special education. Other categories include school-age children in public and non-public schools or not in school, dropouts, and those expelled or suspended. Racial and ethnic counts of full-time classroom teachers and full-time instructional staff are also supplied. Other variables focus on the number of schools in the district that used ability grouping, whether a district had single-sex schools, whether students of different sexes were required to take different courses, the number of students whose language was not English, whether bilingual instruction was used, the number of schools being newly built or modified to increase capacity, the racial composition of new schools, and whether there was litigation.

Dataset describing students to teacher ratios at states and counties US nation wide.

United States US: Secondary Education: Teachers: % Female data was reported at 62.010 % in 2015. This records a decrease from the previous number of 62.029 % for 2014. United States US: Secondary Education: Teachers: % Female data is updated yearly, averaging 60.829 % from Dec 1993 (Median) to 2015, with 22 observations. The data reached an all-time high of 62.587 % in 2004 and a record low of 55.596 % in 1999. United States US: Secondary Education: Teachers: % Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Education Statistics. Female teachers as a percentage of total secondary education teachers includes full-time and part-time teachers.; ; 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).

United States Trained Teachers in Primary Education: % of Total Teachers data was reported at 100.000 % in 2022. This stayed constant from the previous number of 100.000 % for 2021. United States Trained Teachers in Primary Education: % of Total Teachers data is updated yearly, averaging 100.000 % from Dec 2014 (Median) to 2022, with 9 observations. The data reached an all-time high of 100.000 % in 2022 and a record low of 100.000 % in 2022. United States Trained Teachers in Primary Education: % of Total Teachers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Social: Education Statistics. Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Weighted average;

This dataset is about books. It has 3 rows and is filtered where the book subjects is High school teachers-United States-Attitudes. It features 9 columns including author, publication date, language, and book publisher.

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:

Teacher Shortage Areas 2021-22 (TSA 2021-22) is part of the Teacher Shortage Areas (TSA) program; program data are available since 1990?91 at . TSA 2021-22 (https://www2.ed.gov/about/offices/list/ope/pol/tsa.html) is a cross-sectional study that collects information about teaching needs in the 50 United States and the outlying jurisdictions. TSA 2021-22 provides a reference document to notify the nation where states and schools are looking to potentially hire academic administrators, licensed teachers, and other educators and school faculty in specific disciplines/subject areas, grade levels, and/or geographic regions; and where recent graduates of schools of education and trained, experienced teaching professionals aiming to serve school districts with shortages can find (prospective) positions and fill the current voids in each state?s and outlying jurisdiction?s pre-kindergarten through Grade 12 classrooms, in areas that match their certification credentials; as well as to inform Federal financial aid recipients on reducing, deferring, or cancelling/nullifying/discharging student loan payments and meeting other specified (e.g., teaching) obligations.

The dataset is related to student data, from an educational research study focusing on student demographics, academic performance, and related factors. Here’s a general description of what each column likely represents:

Sex: The gender of the student (e.g., Male, Female). Age: The age of the student. Name: The name of the student. State: The state where the student resides or where the educational institution is located. Address: Indicates whether the student lives in an urban or rural area. Famsize: Family size category (e.g., LE3 for families with less than or equal to 3 members, GT3 for more than 3). Pstatus: Parental cohabitation status (e.g., 'T' for living together, 'A' for living apart). Medu: Mother's education level (e.g., Graduate, College). Fedu: Father's education level (similar categories to Medu). Mjob: Mother's job type. Fjob: Father's job type. Guardian: The primary guardian of the student. Math_Score: Score obtained by the student in Mathematics. Reading_Score: Score obtained by the student in Reading. Writing_Score: Score obtained by the student in Writing. Attendance_Rate: The percentage rate of the student’s attendance. Suspensions: Number of times the student has been suspended. Expulsions: Number of times the student has been expelled. Teacher_Support: Level of support the student receives from teachers (e.g., Low, Medium, High). Counseling: Indicates whether the student receives counseling services (Yes or No). Social_Worker_Visits: Number of times a social worker has visited the student. Parental_Involvement: The level of parental involvement in the student's academic life (e.g., Low, Medium, High). GPA: The student’s Grade Point Average, a standard measure of academic achievement in schools.

This dataset provides a comprehensive look at various factors that might influence a student's educational outcomes, including demographic factors, academic performance metrics, and support structures both at home and within the educational system. It can be used for statistical analysis to understand and improve student success rates, or for targeted interventions based on specific identified needs.

About NTPSThe National Teacher and Principal Survey (NTPS) is a system of related questionnaires that provide descriptive data on the context of elementary and secondary education while also giving policymakers a variety of statistics on the condition of education in the United States.The NTPS is a redesign of the Schools and Staffing Survey (SASS), which the National Center for Education Statistics (NCES) conducted from 1987 to 2011. The design of the NTPS is a product of three key goals coming out of the SASS program: flexibility, timeliness, and integration with other Department of Education collections. The NTPS collects data on core topics including teacher and principal preparation, classes taught, school characteristics, and demographics of the teacher and principal labor force every two to three years. In addition, each administration of NTPS contains rotating modules on important education topics such as: professional development, working conditions, and evaluation. This approach allows policy makers and researchers to assess trends on both stable and dynamic topics.Data OrganizationEach table has an associated excel and excel SE file, which are grouped together in a folder in the dataset (one folder per table). The folders are named based on the excel file names, as they were when downloaded from the National Center for Education Statistics (NCES) website.In the NTPS folder, there is a catalog csv that provides a crosswalk between the folder names and the table titles.The documentation folder contains (1) codebooks for NTPS generated in NCES datalabs, (2) questionnaires for NTPS downloaded from the study website and (3) reports related to NTPS found in the NCES resource library

This dataset is about books. It has 2 rows and is filtered where the book subjects is Teacher educators-United States. It features 9 columns including author, publication date, language, and book publisher.

Teacher Shortage Areas 2020-21 (TSA 2020-21) is part of the Teacher Shortage Areas (TSA) program; program data are available since 1990?91 at . TSA 2020-21 (https://www2.ed.gov/about/offices/list/ope/pol/tsa.html) is a cross-sectional study that collects information about teaching needs in the 50 United States and the outlying jurisdictions. TSA 2020-21 provides a reference document to notify the nation where states and schools are looking to potentially hire academic administrators, licensed teachers, and other educators and school faculty in specific disciplines/subject areas, grade levels, and/or geographic regions; and where recent graduates of schools of education and trained, experienced teaching professionals aiming to serve school districts with shortages can find (prospective) positions and fill the current voids in each state?s and outlying jurisdiction?s pre-kindergarten through Grade 12 classrooms, in areas that match their certification credentials; as well as to inform Federal financial aid recipients on reducing, deferring, or cancelling/nullifying/discharging student loan payments and meeting other specified (e.g., teaching) obligations.

Teachers' Use of Educational Technology in U.S. Public Schools, 2009 (FRSS 95), is a study that is part of the Fast Response Survey System (FRSS) program; program data is available since 1998-99 at https://nces.ed.gov/surveys/frss/downloads.asp. FRSS 95 (https://nces.ed.gov/surveys/frss/) is a sample survey that provides national estimates on the availability and use of educational technology among teachers in public elementary and secondary schools during 2009. This is one of a set of three surveys (at the district, school, and teacher levels) that collected data on a range of educational technology resources. The study was conducted using surveys via the web or by mail. Telephone follow-up for survey non-response and data clarification was also used. Questionnaires and cover letters for the teacher survey were mailed to sampled teachers at their schools. Public schools and teachers within those schools were sampled. The weighted response rate for schools providing lists of teachers for sampling was 81 percent, and the weighted response rate for sampled teachers completing questionnaires was 79 percent. Key statistics produced from FRSS 95 were information on the use of computers and internet access in the classroom; availability and use of computing devices, software, and school or district networks (including remote access) by teachers; students� use of educational technology; teachers� preparation to use educational technology for instruction; and technology-related professional development activities.

Comprehensive dataset of 1 Teachers colleges in Utah, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

About TFSThis is a study of public and private school teachers in elementary and secondary schools and is part of the NTPS study, which collects information from U.S. elementary and secondary schools and their staff. Use this study to learn about teacher retention and attrition rates, characteristics of teachers who stayed in the teaching profession and those who changed professions or retired, activity and occupational information for those who left the position of a K-12 teacher, reasons for moving to a new school or leaving the K-12 teaching profession, and job satisfaction.Data OrganizationEach table has an associated excel and excel SE file, which are grouped together in a folder in the dataset (one folder per table). The folders are named based on the excel file names, as they were when downloaded from the National Center for Education Statistics (NCES) website.In the TFS folder, there is a catalog csv that provides a crosswalk between the folder names and the table titles.The documentation folder contains (1) codebooks for TFS generated in NCES datalabs, (2) questionnaires for TFS downloaded from the study website and (3) reports related to TFS found in the NCES resource library.

The Schools and Staffing Survey, 2003-04 (SASS 03-04), is a study that is part of the Schools and Staffing Survey (SASS) program. SASS 03-04 (https://nces.ed.gov/surveys/sass) is a survey that covers a wide range of topics from teacher demand, teacher and principal characteristics, general conditions in schools, principals' and teachers' perceptions of school climate and problems in their schools, teacher compensation, district hiring and retention practices, to basic characteristics of the student population. The survey was conducted using mail, email, paper questionnaires, and telephone interviews. Teachers, librarians, principals, and school coordinators were sampled. Key statistics produced from SASS 03-04 are how many teachers and principals remained at the same school, moved to another school, or left the profession in the year following the SASS administration.

Teacher Shortage Areas 2018-19 (TSA 2018-19) is part of the Teacher Shortage Areas (TSA) program; program data are available since 1990?91 at . TSA 2018-19 (https://www2.ed.gov/about/offices/list/ope/pol/tsa.html) is a cross-sectional study that collects information about teaching needs in the 50 United States and the outlying jurisdictions. TSA 2018-19 provides a reference document to notify the nation where states and schools are looking to potentially hire academic administrators, licensed teachers, and other educators and school faculty in specific disciplines/subject areas, grade levels, and/or geographic regions; and where recent graduates of schools of education and trained, experienced teaching professionals aiming to serve school districts with shortages can find (prospective) positions and fill the current voids in each state?s and outlying jurisdiction?s pre-kindergarten through Grade 12 classrooms, in areas that match their certification credentials; as well as to inform Federal financial aid recipients on reducing, deferring, or cancelling/nullifying/discharging student loan payments and meeting other specified (e.g., teaching) obligations.

This collection represents a merger of the 1977-1978 school district finance data and the 1977-1978 school district universe information. The data may contain records that are not included in both datasets, especially since in many states the finance data are for a sample of school districts. If one dataset contains records that the other does not contain, then that portion of the merged record is blank. The collection presents detailed financial data on school system finances at the school district level, including: (1) receipt by type and source, including distribution of federal funds by program, (2) expenditures by category, including current expenditures and capital outlay, (3) debt service, (4) cash and investment assets, and (5) attendance and membership data.

The National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated school district boundary composite files that include public elementary, secondary, and unified school district boundaries clipped to the U.S. shoreline. School districts are special-purpose governments and administrative units designed by state and local officials to provide public education for local residents. District boundaries are collected for NCES by the U.S. Census Bureau to develop demographic estimates and to support educational research and program administration. The NCES Common Core of Data (CCD) program is an annual collection of basic administrative characteristics for all public schools, school districts, and state education agencies in the United States. These characteristics are reported by state education officials and include directory information, number of students, number of teachers, grade span, and other conditions. The administrative attributes in this layer were developed from the 2020-2021 CCD collection. For more information about NCES school district boundaries, see: https://nces.ed.gov/programs/edge/Geographic/DistrictBoundaries. For more information about CCD school district attributes, see: https://nces.ed.gov/ccd/files.asp.Notes: -1 or M Indicates that the data are missing. -2 or N Indicates that the data are not applicable. -9 Indicates that the data do not meet NCES data quality standards. All 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.