Database is provided by ASL Marketing and covers the United States of America. With ASL Marketing Reaching GenZ has never been easier. Current high school student data customized by: Class year Date of Birth Gender GPA Geo Household Income Ethnicity Hobbies College-bound Interests College Intent Email

The California School Campus Database (CSCD) is now available for all public schools and colleges/universities in California.CSCD is a GIS data set that contains detailed outlines of the lands used by public schools for educational purposes. It includes campus boundaries of schools with kindergarten through 12th grade instruction, as well as colleges, universities, and public community colleges. Each is accurately mapped at the assessor parcel level. CSCD is the first statewide database of this information and is available for use without restriction.PURPOSEWhile data is available from the California Department of Education (CDE) at a point level, the data is simplified and often inaccurate.CSCD defines the entire school campus of all public schools to allow spatial analysis, including the full extent of lands used for public education in California. CSCD is suitable for a wide range of planning, assessment, analysis, and display purposes.The lands in CSCD are defined by the parcels owned, rented, leased, or used by a public California school district for the primary purpose of educating youth. CSCD provides vetted polygons representing each public school in the state.Data is also provided for community colleges and university lands as of the 2018 release.CSCD is suitable for a wide range of planning, assessment, analysis, and display purposes. It should not be used as the basis for official regulatory, legal, or other such governmental actions unless reviewed by the user and deemed appropriate for their use. See the user manual for more information.Link to California School Campus Database.

The iZone is the NYC Department of Education's initiative to strategically develop and scale innovative 21st century school and classroom models that increase student achievement. The iZone consists of a dedicated community of schools that design and build the learning experience around the needs, motivations and strengths of each student in order to prepare them for success in college and career.

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.

CompanyData.com, (BoldData), is a leading provider of verified global business data sourced exclusively from official government and trade registries. Our global education dataset features 4.8 million schools across 190+ countries—offering accurate, up-to-date information on institutions from primary schools to universities. This makes us the ideal data partner for organizations targeting the education sector at scale.

Our school database includes detailed firmographics, institutional hierarchies, contact names, email addresses, phone and mobile numbers, type of school, language of instruction, and geographic location. Every record is verified and regularly updated to meet the highest standards of data quality, accuracy, and compliance. Whether you're targeting public or private schools, regional networks, or specific education levels, our data supports precise segmentation and engagement.

This dataset supports a wide range of use cases: international sales and marketing campaigns, CRM enrichment, compliance and KYC verification, market research, AI training, and education-focused outreach. Whether you're an EdTech provider, academic publisher, or enterprise service platform, we provide the data foundation to help you grow.

Delivery is flexible and tailored to your needs—via custom CSV exports, API integration, enrichment services, or access to our self-service platform. Backed by our broader database of over 380 million verified companies and institutions worldwide, CompanyData.com (BoldData) empowers your organization with the insights and precision needed to succeed in the global education market.

A list of schools receiving Quality Reviews during the 2018-19 school year

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 1974-1975. 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. Some computed data were included on the 1974 district file which were not on the district files for years 1968-1973.

This Private Schools feature dataset is composed of private elementary and secondary education facilities in the United States as defined by the Private School Survey (PSS, https://nces.ed.gov/surveys/pss/), National Center for Education Statistics (NCES, https://nces.ed.gov), US Department of Education for the 2017-2018 school year. This includes all prekindergarten through 12th grade schools as tracked by the PSS. 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 2675 new records, modifications to the spatial location and/or attribution of 19836 records, the removal of 254 records no longer applicable. Additionally, 10,870 records were removed that previously had a STATUS value of 2 (Unknown; not represented in the most recent PSS data) and duplicate records identified by ORNL.

Comprehensive dataset of 29 School centers in Ohio, 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.

This dataset tracks annual distribution of students across grade levels in Flora List Elementary School

The Federal School Code List contains the unique codes assigned by the Department of Education for schools participating in the Title IV federal student aid programs. Students can enter these codes on the Free Application for Federal Student Aid (FAFSA) to indicate which postsecondary schools they want to receive their financial application results. The Federal School Code List is a searchable document in Excel format. The list will be updated on the first of February, May, August, and November of each calendar year.

This Dataset contains all basic primary school details including address, Longitude/Latitude, geo (XY) coordinates and eircode information

Users can view brief descriptions of laws and policies pertaining to the health of students Topics include: wellness policy, health education curriculum, school meal programs, physical activity, emergency response, bullying, and facility safety, among others. Background The State School Health Policy Database was developed by the National Association of State Boards of Education and is supported by the Division of Adolescent and School Health of the Centers (DASH) of the Centers for Disease Control and Prevention (CDC) and the Robert Wood Johnson Foundation. This database is useful for school policymakers interested in viewing strategies and policies across states and researchers and policy evaluators seeking to track changes in polici es across the United States. Topics include: wellness policies, health education curriculum; school meal programs, school food environment, physical activity, drug-free schools, bullying, emergency response, tobacco use, air quality, pesticide use, and facility safety. User Functionality Users can view brief descriptions of laws and policies pertaining to the health of students. When possible, hyperlinks to full written policies are included. Data Notes The data base is updated regularly with new and revised laws and policies from across the United States.

Data product is provided by ASL Marketing. It contains current college students who are attending colleges and universities nationwide. Connect with this market by: Class Year Field of Study Home/School address College Attending Ethnicity School Type Region Sports Conference Gender eSports Email

SY 2021 - 2022 Listing of Community Schools

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 2020-2021 school year, i.e., in operation as of January 1, 2021.

This is the domain table for Public School Names (designated by the Chief Data Officer (CDO) per Mayor’s Order 2017-115). Districtwide domain tables are database tables designated by the CDO to provide a standard source of values to be used across District information systems and data transformations, as defined by the Open Data Policy. The source table for this is the DCGIS.PubSchPt layer.https://octo.dc.gov/page/district-columbia-data-policy

Understanding the location of primary schools relative to population is important to contextualize the time, or distance, that students must travel and in defining school catchment areas for planning. However, such analyses are limited due to the perennial problem for absence of geocoded school databases. We, therefore, assembled existing school databases in western Kenya, merged and cleaned them to a unique list of 2170 public day primary school in 2009 and 4682 in 2020. We focused only on PPS managed by local authorities, community, Ministry of Education, non-governmental and religious organisations. These are more accessible by the general public since the introduction of free and compulsory primary education by the Kenyan government in 2003. We also excluded special schools catering for the deaf, blind, and neurologically impaired. The database was geocoded via Google Earth, OpenStreetMap and Geonames while ensuring no schools were located within protected areas or in water bodies by carefully rechecking the coordinates derived from online gazetteers.

K-12 Schools Email List

Built for powerful, multichannel campaigns, our K-12 Schools Email List unlocks direct access to principals, administrators, and teachers. The chance to create significant relationships in the industry has never been greater as the worldwide K-12 education sector approaches $6 billion by 2028. To guarantee effective interaction and deliverability, our database includes completely verified, GDPR and CAN-SPAM-compliant co