School profile information for all schools in the Chicago Public School district for the school year 2023-2024.

• Data set is no longer being updated when data set for next year is created

School profile information for all schools in the Chicago Public School district for the school year 2016-2017.

This file consists of the four original sheets included in the District Profile Report download, as described on the About FY22 Report tab, an additional five sheets created for GIS use and documentation, and an About File tab.The original four sheets are as follows:1. The “District Profile Report” provides a list of statistics for a given school district under seven groupings listed above (A-G). There are six columns of data in this worksheet. The first three columns provide statistics for each data element for the selected district, similar districts average and statewide average. There are three additional columns that enable the user to look at the statistics of three other school districts for comparison. By clicking in the cell below the Comparison Districts 1, 2 and 3 labels, the user can choose three additional school districts to review simultaneously.2. The worksheet labeled “District Data” provides a downloadable file of school district data.3. The worksheet labeled “Similar Districts Data” provides a downloadable file of similar districts averages.4. The worksheet labeled “Statewide Data” provides statewide averages for every statistic in the report.The five new sheets are as follows:1. FY22_Data_Dictionary - contains the abbreviated column names for GIS use and their definitions as found on the original download page. (The link is on the About FY22 Report sheet)2. FY22_Join - contains the District Data formatted for use in a GIS in the following way: the attribute/column titles were abbreviated for use in GIS, column C - UNSDLEA22 was added to facilitate joining to the Census School District geography file, column D - COUNTY was added for geographical filtering purposes, column E - COUNTY_GEOID was added for geographical filtering purposes. All columns from F to BM remain in the same order as the original dataset3. About FY22 Report - contains the report description as found on the original download page. The link to that original download page is also on this sheet.4. Mismatches - contains the school districts where the Census UNSDLEA cannot be derived from the Ohio IRN for quality control purposes5. No Data - contains the school districts that are not in the Profile Report but are in the Census geography data, for a quality control check when performing a join

This file consists of the four original sheets included in the District Profile Report download, as described on the About FY21 Report tab, an additional five sheets created for GIS use and documentation, and an About File tab.The original four sheets are as follows:1. The “District Profile Report” provides a list of statistics for a given school district under seven groupings listed above (A-G). There are six columns of data in this worksheet. The first three columns provide statistics for each data element for the selected district, similar districts average and statewide average. There are three additional columns that enable the user to look at the statistics of three other school districts for comparison. By clicking in the cell below the Comparison Districts 1, 2 and 3 labels, the user can choose three additional school districts to review simultaneously.2. The worksheet labeled “District Data” provides a downloadable file of school district data.3. The worksheet labeled “Similar Districts Data” provides a downloadable file of similar districts averages.4. The worksheet labeled “Statewide Data” provides statewide averages for every statistic in the report.The five new sheets are as follows:1. FY21_Data_Dictionary - contains the abbreviated column names for GIS use and their definitions as found on the original download page. (The link is on the About FY21 Report sheet)2. FY21_Join - contains the District Data formatted for use in a GIS in the following way: the attribute/column titles were abbreviated for use in GIS, column C - UNSDLEA21 was added to facilitate joining to the Census School District geography file, column D - COUNTY was added for geographical filtering purposes, column E - COUNTY_GEOID was added for geographical filtering purposes. All columns from F to BM remain in the same order as the original dataset3. About FY21 Report - contains the report description as found on the original download page. The link to that original download page is also on this sheet.4. Mismatches - contains the school districts where the Census UNSDLEA cannot be derived from the Ohio IRN for quality control purposes5. No Data - contains the school districts that are not in the Profile Report but are in the Census geography data, for a quality control check when performing a join

2022 School Health Profiles (Profiles) Dataset. Profiles is a system of surveys assessing school health policies and practices in states, school districts, territories, and tribes. Profiles surveys are conducted biennially by education and health agencies among middle and high school principals and lead health education teachers. Profiles monitors the current status of school health education requirements and content, physical education and physical activity, practices related to bullying and sexual harassment, school health policies related to tobacco-use prevention and nutrition, school-based health and mental health services, family engagement and community involvement, and school health coordination.

School District Profile Reports FY16-FY23The District Profile Report is a tool published annually by the Ohio Department of Education to evaluate statistics of each of Ohio’s traditional public school districts. The report allows users to compare a district with similar school districts and the state as a whole. (Ohio’s island districts and College Corner Local have been excluded from the analysis due to the unique characteristics of these school districts.)This document provides a compilation of data on Ohio public school districts. A portion of this information was formerly released in what was known as the Cupp Report, named after former Senator and House Speaker Bob Cupp, who encouraged its production. The information is presented in the following categories:A. Demographic dataB. Personnel dataC. Property valuation and tax dataD. Local effort dataE. Operating expenditure per-pupil dataF. Revenue by source dataG. District financial status from five year forecast data The District Profile Report only represents the data for traditional public school districts. Data involving community schools and joint vocational school districts have been removed. As a result, some district data and statewide averages in this report may differ from the data reported through other Ohio Department of Education & Workforce publications if data on those reports are calculated with community schools, joint vocational school districts or other educational entities.There are various ways of defining some variables depending on the context in which the variables are used. The information below defines each variable to avoid confusion. For example, school district enrollment is defined differently in different contexts. Here, enrolled ADM is the measure of student enrollment that is used in many calculations because it is most directly aligned with state foundation funding as it represents the students a district is educating. In cases where school district data could not be compiled or was irrelevant, an ‘NA’ is used to indicate the inapplicability of the data. The District Profile Reports are available in a downloadable Excel file format: https://education.ohio.gov/Topics/Finance-and-Funding/School-Payment-Reports/District-Profile-Reports Links to data documentation for the GIS implementation of each layer is included in that layer's description.

This file consists of the four original sheets included in the District Profile Report download, as described on the About FY23 Report tab, an additional five sheets created for GIS use and documentation, and an About File tab.The original four sheets are as follows:1. The “District Profile Report” provides a list of statistics for a given school district under seven groupings listed above (A-G). There are six columns of data in this worksheet. The first three columns provide statistics for each data element for the selected district, similar districts average and statewide average. There are three additional columns that enable the user to look at the statistics of three other school districts for comparison. By clicking in the cell below the Comparison Districts 1, 2 and 3 labels, the user can choose three additional school districts to review simultaneously.2. The worksheet labeled “District Data” provides a downloadable file of school district data.3. The worksheet labeled “Similar Districts Data” provides a downloadable file of similar districts averages.4. The worksheet labeled “Statewide Data” provides statewide averages for every statistic in the report.The five new sheets are as follows:1. FY23_Data_Dictionary - contains the abbreviated column names for GIS use and their definitions as found on the original download page. (The link is on the About FY23 Report sheet)2. FY23_Join - contains the District Data formatted for use in a GIS in the following way: the attribute/column titles were abbreviated for use in GIS, column C - UNSDLEA23 was added to facilitate joining to the Census School District geography file, column D - COUNTY was added for geographical filtering purposes, column E - COUNTY_GEOID was added for geographical filtering purposes. All columns from F to BM remain in the same order as the original dataset3. About FY23 Report - contains the report description as found on the original download page. The link to that original download page is also on this sheet.4. Mismatches - contains the school districts where the Census UNSDLEA cannot be derived from the Ohio IRN for quality control purposes5. No Data - contains the school districts that are not in the Profile Report but are in the Census geography data, for a quality control check when performing a join

The American Community Survey Education Tabulation (ACS-ED) is a custom tabulation of the ACS produced for the National Center of Education Statistics (NCES) by the U.S. Census Bureau. The ACS-ED provides a rich collection of social, economic, demographic, and housing characteristics for school systems, school-age children, and the parents of school-age children. In addition to focusing on school-age children, the ACS-ED provides enrollment iterations for children enrolled in public school. The data profiles include percentages (along with associated margins of error) that allow for comparison of school district-level conditions across the U.S. For more information about the NCES ACS-ED collection, visit the NCES Education Demographic and Geographic Estimates (EDGE) program at: https://nces.ed.gov/programs/edge/Demographic/ACS

➡️ DOCS With just the School LinkedIn Profile URL, you can get the structured data of a school/educational institute with tons of data points. Check out our API Docs at ➡ nubela.co/proxycurl/docs

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Analysis of ‘Chicago Public Schools - School Profile Information SY2122’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/fb35e43e-f432-41b5-a089-f9a81d5fa8af on 13 February 2022.

--- Dataset description provided by original source is as follows ---

School profile information for all schools in the Chicago Public School district for the school year 2021-2022.

• Data set is no longer being updated when data set for next year is created

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Chicago Public Schools - School Profile Information SY1819’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/f070e1c7-a0a8-4a66-9b6b-bac9dfb872e7 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

School profile information for all schools in the Chicago Public School district for the school year 2018-2019.

--- Original source retains full ownership of the source dataset ---

The Massachusetts Department of Elementary and Secondary Education collects a variety of data from schools and districts in the state. Much of the information collected is published in the School and District Profiles. A "profile" is a snapshot of the data for a specific school or district. Users can also find school and district directories.

In addition to individual profiles and directories, users can also view and download statewide data reports. The Massachusetts Education-to-Career Research and Data Hub publishes many of the statewide reports as datasets here in the public data portal. If you wish to download multiple years of data at once, multiple student groups, or other cuts of data that are more difficult to download via School and District Profiles, please search for it here in the E2C Hub.

Historical Dataset of Dover High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1991-2022),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1991-2022),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (2006-2023),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 (2013-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1992-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2002-2023),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)

Success.ai’s Education Industry Data provides access to comprehensive profiles of global professionals in the education sector. Sourced from over 700 million verified LinkedIn profiles, this dataset includes actionable insights and verified contact details for teachers, school administrators, university leaders, and other decision-makers. Whether your goal is to collaborate with educational institutions, market innovative solutions, or recruit top talent, Success.ai ensures your efforts are supported by accurate, enriched, and continuously updated data.

Why Choose Success.ai’s Education Industry Data? 1. Comprehensive Professional Profiles Access verified LinkedIn profiles of teachers, school principals, university administrators, curriculum developers, and education consultants. AI-validated profiles ensure 99% accuracy, reducing bounce rates and enabling effective communication. 2. Global Coverage Across Education Sectors Includes professionals from public schools, private institutions, higher education, and educational NGOs. Covers markets across North America, Europe, APAC, South America, and Africa for a truly global reach. 3. Continuously Updated Dataset Real-time updates reflect changes in roles, organizations, and industry trends, ensuring your outreach remains relevant and effective. 4. Tailored for Educational Insights Enriched profiles include work histories, academic expertise, subject specializations, and leadership roles for a deeper understanding of the education sector.

Data Highlights: 700M+ Verified LinkedIn Profiles: Access a global network of education professionals. 100M+ Work Emails: Direct communication with teachers, administrators, and decision-makers. Enriched Professional Histories: Gain insights into career trajectories, institutional affiliations, and areas of expertise. Industry-Specific Segmentation: Target professionals in K-12 education, higher education, vocational training, and educational technology.

Key Features of the Dataset: 1. Education Sector Profiles Identify and connect with teachers, professors, academic deans, school counselors, and education technologists. Engage with individuals shaping curricula, institutional policies, and student success initiatives. 2. Detailed Institutional Insights Leverage data on school sizes, student demographics, geographic locations, and areas of focus. Tailor outreach to align with institutional goals and challenges. 3. Advanced Filters for Precision Targeting Refine searches by region, subject specialty, institution type, or leadership role. Customize campaigns to address specific needs, such as professional development or technology adoption. 4. AI-Driven Enrichment Enhanced datasets include actionable details for personalized messaging and targeted engagement. Highlight educational milestones, professional certifications, and key achievements.

Strategic Use Cases: 1. Product Marketing and Outreach Promote educational technology, learning platforms, or training resources to teachers and administrators. Engage with decision-makers driving procurement and curriculum development. 2. Collaboration and Partnerships Identify institutions for collaborations on research, workshops, or pilot programs. Build relationships with educators and administrators passionate about innovative teaching methods. 3. Talent Acquisition and Recruitment Target HR professionals and academic leaders seeking faculty, administrative staff, or educational consultants. Support hiring efforts for institutions looking to attract top talent in the education sector. 4. Market Research and Strategy Analyze trends in education systems, curriculum development, and technology integration to inform business decisions. Use insights to adapt products and services to evolving educational needs.

Why Choose Success.ai? 1. Best Price Guarantee Access industry-leading Education Industry Data at unmatched pricing for cost-effective campaigns and strategies. 2. Seamless Integration Easily integrate verified data into CRMs, recruitment platforms, or marketing systems using downloadable formats or APIs. 3. AI-Validated Accuracy Depend on 99% accurate data to reduce wasted outreach and maximize engagement rates. 4. Customizable Solutions Tailor datasets to specific educational fields, geographic regions, or institutional types to meet your objectives.

Strategic APIs for Enhanced Campaigns: 1. Data Enrichment API Enrich existing records with verified education professional profiles to enhance engagement and targeting. 2. Lead Generation API Automate lead generation for a consistent pipeline of qualified professionals in the education sector. Success.ai’s Education Industry Data enables you to connect with educators, administrators, and decision-makers transforming global...

Secondary School Profiles in 18 Districts

The Iowa School Performance Profiles is an online tool showing how public schools performed on required measures. The website was developed to meet both federal and state requirements for publishing online school report cards: The federal Every Student Succeeds Act and House File 215, adopted by Iowa lawmakers in 2013.

The website includes:

• Scores on school accountability measures required under ESSA
• Ratings based on those scores: Exceptional, High Performing, Commendable, Acceptable, Needs Improvement, and Priority
• Identification of schools for support and improvement based on accountability scores (Comprehensive and Targeted schools)
• Additional education data that must be reported by law but do not figure into school accountability scores

School profile information for all schools in the Chicago Public School district for the school year 2018-2019.

Access verified Education Marketing Data and Contact Data for education professionals and institutions with Success.ai. Includes profiles of administrators, educators, and marketers - Long list of Attributes. Continuously updated profiles for accurate targeting. Best price guaranteed.