23 datasets found
  1. N

    2015-16 Health Education K-12 - Health Instructors

    • data.cityofnewyork.us
    • catalog.data.gov
    application/rdfxml +5
    Updated Apr 25, 2019
    + more versions
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    Department of Education (DOE) (2019). 2015-16 Health Education K-12 - Health Instructors [Dataset]. https://data.cityofnewyork.us/Education/2015-16-Health-Education-K-12-Health-Instructors/nhak-36my
    Explore at:
    csv, json, xml, application/rssxml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Apr 25, 2019
    Dataset authored and provided by
    Department of Education (DOE)
    Description

    Local Law 15 (2016) requires that NYCDOE provide citywide Health Education instructor data, disaggregated by commuunity school district, city council district, and individual school data. Report provides school level data on the number of teachers assigned to teach health in grades K - 12 in the 2015-16 school year. Data is based on STARS scheduling data. Teachers are considered to be health instructors if they were assigned to a health course with active students enrolled during 2015-16 school year. Please note, Health Education in grades K-5 can be taught by the elementary classroom teacher, which helps explain why the elementary grades have a much higher number of teachers assigned to teach health than the middle and high school grades.

  2. Education Industry Data | Education Professionals Worldwide Contact Data |...

    • datarade.ai
    Updated Oct 27, 2021
    + more versions
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    Success.ai (2021). Education Industry Data | Education Professionals Worldwide Contact Data | Verified Work Emails for Educators & Administrators | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/education-industry-data-education-professionals-worldwide-c-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Guam, Papua New Guinea, Botswana, Honduras, Bermuda, Christmas Island, Malta, Ethiopia, Antarctica, Slovakia
    Description

    Success.ai’s Education Industry Data with B2B Contact Data for Education Professionals Worldwide enables businesses to connect with educators, administrators, and decision-makers in educational institutions across the globe. With access to over 170 million verified professional profiles, this dataset includes crucial contact details for key education professionals, including school principals, department heads, and education directors.

    Whether you’re targeting K-12 educators, university faculty, or educational administrators, Success.ai ensures your outreach is effective and efficient, providing the accurate data needed to build meaningful connections.

    Why Choose Success.ai’s Education Professionals Data?

    1. Comprehensive Contact Information
    2. Access verified work emails, direct phone numbers, and LinkedIn profiles for educators, administrators, and education leaders worldwide.
    3. AI-driven validation guarantees 99% accuracy, ensuring the highest level of reliability for your outreach.

    4. Global Reach Across Educational Roles

    5. Includes profiles of K-12 teachers, university professors, education directors, and school administrators.

    6. Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East.

    7. Continuously Updated Datasets

    8. Real-time updates ensure that you’re working with the most current contact information, keeping your outreach relevant and timely.

    9. Ethical and Compliant

    10. Success.ai’s data is fully GDPR, CCPA, and privacy regulation-compliant, ensuring ethical data usage in all your outreach efforts.

    Data Highlights:

    • 170M+ Verified Professional Profiles: Includes educators and administrators across various levels of education.
    • 50M Work Emails: Verified and AI-validated emails for seamless communication.
    • 30M Company Profiles: Rich insights into educational institutions, supporting detailed targeting.
    • 700M Global Professional Profiles: Enriched datasets for comprehensive outreach across the education sector.

    Key Features of the Dataset:

    1. Education Decision-Maker Profiles
    2. Identify and connect with decision-makers at educational institutions, including principals, department heads, and education directors.
    3. Reach K-12 educators, higher education faculty, and administrative professionals with relevant needs.

    4. Advanced Filters for Precision Targeting

    5. Filter by educational level, subject area, location, and specific roles to tailor your outreach campaigns for precise results.

    6. AI-Driven Enrichment

    7. Profiles are enriched with actionable data to provide valuable insights, ensuring your outreach efforts are impactful and effective.

    Strategic Use Cases:

    1. Educational Product and Service Marketing
    2. Promote educational tools, software, or services to decision-makers in schools, colleges, and universities.
    3. Build relationships with educators to present curriculum solutions, digital learning platforms, and teaching resources.

    4. Recruitment and Talent Acquisition

    5. Target educational institutions and administrators with recruitment solutions or staffing services for teaching and support staff.

    6. Engage with HR professionals in the education sector to promote job openings and talent acquisition services.

    7. Professional Development Programs

    8. Reach educators and administrators to offer professional development courses, certifications, or training programs.

    9. Provide online learning solutions to enhance the skills of educators worldwide.

    10. Research and Educational Partnerships

    11. Connect with education leaders for research collaborations, institutional partnerships, and academic initiatives.

    12. Foster relationships with decision-makers to support joint ventures in the education sector.

    Why Choose Success.ai?

    1. Best Price Guarantee
    2. Success.ai offers high-quality, verified data at the best possible prices, making it a cost-effective solution for your outreach needs.

    3. Seamless Integration

    4. Integrate this verified contact data into your CRM using APIs or download it in your preferred format for streamlined use.

    5. Data Accuracy with AI Validation

    6. With AI-driven validation, Success.ai ensures 99% accuracy for all data, providing you with reliable and up-to-date information.

    7. Customizable and Scalable Solutions

    8. Tailor data to specific education sectors or roles, making it easy to target the right contacts for your campaigns.

    APIs for Enhanced Functionality:

    1. Data Enrichment API
    2. Enhance existing records in your database with verified contact data for education professionals.

    3. Lead Generation API

    4. Automate lead generation campaigns for educational services and products, ensuring your marketing efforts are more efficient.

    Leverage Success.ai’s B2B Contact Data for Education Professionals Worldwide to connect with educators, administrators, and decision-makers in the education sector. With veri...

  3. Teacher Follow-up Survey: Tables Library Data

    • datalumos.org
    delimited
    Updated Jun 27, 2025
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    United States Department of Education (2025). Teacher Follow-up Survey: Tables Library Data [Dataset]. http://doi.org/10.3886/E234602V1
    Explore at:
    delimitedAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    United States Department of Educationhttp://ed.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1994 - 2022
    Area covered
    United States
    Description

    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.

  4. LearnPlatform Educational Technology Engagement Dataset: Impact of COVID-19...

    • openicpsr.org
    Updated Sep 16, 2021
    + more versions
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    Mary Styers (2021). LearnPlatform Educational Technology Engagement Dataset: Impact of COVID-19 on Digital Learning [Dataset]. http://doi.org/10.3886/E150042V1
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    Dataset updated
    Sep 16, 2021
    Dataset provided by
    Canvas LMS
    Authors
    Mary Styers
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Time period covered
    Jan 2020 - Dec 2020
    Area covered
    United States
    Description

    LearnPlatform is a unique technology platform in the K-12 market providing the only broadly interoperable platform to the breadth of edtech solutions in the US K12 field. A key component of edtech effectiveness is integrated reporting on tool usage and, where applicable, evidence of efficacy. With COVID closures, LearnPlatform has emerged as an important and singular resource to measure whether students are accessing digital resources within distance learning constraints. This platform provides a unique and needed source of data to understand if students are accessing digital resources, and where resources have disparate usage and impact.In this dataset we are sharing educational technology usage across the 8,000+ tools used in the education field in 2020. We make this dataset available to public so that educators, district leaders, researchers, institutions, policy-makers or anyone interested to learn about digital learning in 2020, can use this dataset to understand student engagement with core learning activities during the COVID-19 pandemic. Some example research questions that this dataset can help stakeholders answer: What is the picture of digital connectivity and engagement in 2020?What is the effect of the COVID-19 pandemic on online and distance learning, and how might this evolve in the future?How does student engagement with different types of education technology change over the course of the pandemic?How does student engagement with online learning platforms relate to different geography? Demographic context (e.g., race/ethnicity, ESL, learning disability)? Learning context? Socioeconomic status?Do certain state interventions, practices or policies (e.g., stimulus, reopening, eviction moratorium) correlate with increases or decreases in online engagement?

  5. d

    2006-07 Class Size - School-level Detail

    • catalog.data.gov
    • data.cityofnewyork.us
    • +2more
    Updated Nov 29, 2024
    + more versions
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    data.cityofnewyork.us (2024). 2006-07 Class Size - School-level Detail [Dataset]. https://catalog.data.gov/dataset/2006-07-class-size-school-level-detail
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    Dataset updated
    Nov 29, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    Citywide Class Size Report, including Region, District, School, Program, Grade or Service Category, Average Class Size, and Pupil / Teacher Ratio (PTR) SOURCES: 10/31/06 Official Register (K-9) and 12/15/06 Register/Schedule (9-12) Grade 9 not in high schools Indicates how special class is delivered For schools with students in any grades between Kindergarten and 9th grade (where 9th grade is the termination grade for the school), class size is reported by four program areas: general education, special education self-contained class, collaborative team teaching and gifted and talented self-contained class. Within each program area class size is reported by grade or service category, which indicates how a special education self-contained class is delivered. Class size is calculated by dividing the number of students in a program and grade by the number of official classes in that program and grade. The following data is excluded from all the reports: District 75 schools, bridge classes which span more than one grade, classes with fewer than five students (for other than special education self-contained classes) and classes with one student (for special education self-contained classes). On the summary reports programs and grades with three or fewer classes are excluded from the citywide, borough and region reports and programs and grades with one class are excluded from the district report. For schools with students in any grades between 9th and 12th grade (where 9th grade is not the termination grade for the school), class size is reported by two program areas: general education and special education. For general education students class size is reported by grade for each core subject area: English, Math, Science and Social Studies. For special education students with a self-contained program recommendation, class size is reported by service category (self-contained or mainstream) for each core subject area. Since high school classes may contain students in multiple grades and programs, class size is calculated by taking a weighted average of all the classes in a core subject area with students in a particular grade or program. For example, there are 75 ninth graders enrolled at a high school. 25 ninth graders attend a Math class with 28 students, a second group of 25 ninth graders attend a Math class with 25 students, and a third group of 25 ninth graders attend a Math class with 30 students. Average class size for ninth grade Math equals: (25x28 + 25x25 + 25x30)/75 = 27.7. The Pupil Teacher Ratio is also provided on the school level report. Pupil Teacher Ratio is another means to evaluate the instructional resources provided at a school. Pupil Teacher Ratio for All Students is calculated by dividing the number of students at a school by the number of full-time equivalent teachers, including both teachers in classes taught by two teachers, “cluster” teachers providing instruction in specialized topics like art or science, and teachers providing special education instruction. Pupil Teacher Ratio Excluding Special Education is calculated by dividing the number of non-special education students at a school by the number of full-time equivalent non-special education teachers.

  6. p

    Edmonds Heights K-12

    • publicschoolreview.com
    json, xml
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    Public School Review, Edmonds Heights K-12 [Dataset]. https://www.publicschoolreview.com/edmonds-heights-k-12-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2004 - Dec 31, 2025
    Area covered
    Edmonds
    Description

    Historical Dataset of Edmonds Heights K-12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2005-2023),Total Classroom Teachers Trends Over Years (2006-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2016-2023),American Indian Student Percentage Comparison Over Years (2007-2023),Asian Student Percentage Comparison Over Years (2005-2023),Hispanic Student Percentage Comparison Over Years (2005-2023),Black Student Percentage Comparison Over Years (2004-2023),White Student Percentage Comparison Over Years (2005-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),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 (2010-2022),Math Proficiency Comparison Over Years (2010-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2011-2022)

  7. d

    Programming and computational thinking concepts and contextual factors in...

    • search.dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated Aug 8, 2024
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    Lauren Margulieux; Erin Anderson; Masoumeh Rahimi (2024). Programming and computational thinking concepts and contextual factors in integrated computing activities in U.S. Schools [Dataset]. http://doi.org/10.5061/dryad.ttdz08m6v
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    Dataset updated
    Aug 8, 2024
    Dataset provided by
    Dryad Digital Repository
    Authors
    Lauren Margulieux; Erin Anderson; Masoumeh Rahimi
    Description

    Integrated computing uses computing tools and concepts to support learning in other disciplines while giving all students opportunities to experience computer science. Integrated computing is often motivated as a way to introduce computing to students in a low-stakes environment, reducing barriers to learning computer science, often especially for underrepresented groups. This dataset examined integrated computing activities implemented in US schools to examine which programming and CT concepts they teach and whether those concepts differed across contexts. We gathered data on 262 integrated computing activities from in-service K-12 teachers and 20 contextual factors related to the classroom (i.e., primary discipline, grade level, programming paradigm, programming language, minimum amount of time the lesson takes, source of the lesson plan), the teacher (i.e., years teaching, current role (classroom teacher, tech specialist, STEM specialist, etc.), grade levels taught, disciplines taugh..., Procedure Data about integrated computing lessons in non-CS classrooms were collected from in-service K-12 teachers in the United States via an online survey, and 262 surveys were completed. Participants were recruited first through teacher networks and districts to include diverse populations and then through LinkedIn. Teachers received a $100 gift card upon completion of the survey, which took approximately 30 minutes. Due to the incentive, submissions were screened during data collection to ensure eligibility (i.e., having a valid school district email) and quality (described below). Â Instrument The survey asked about the programming and CT concepts taught in the activities and 20 factors related to classroom, teacher, and school context. The programming concepts included were based on a framework developed by Margulieux et al., 2023. A full list of concepts and contextual factors can be found below. Due to the large sample size, the survey was designed to be primarily quantitative ..., , # Programming and Computational Thinking Concepts and Contextual Factors in Integrated Computing Activities in U.S. Schools

    https://doi.org/10.5061/dryad.ttdz08m6v

    Some of the early submissions were missing questions related to school context. These missing data are marked as "null".

    Survey Questions Code Book

    Survey Questions and Descriptive Statistics

    Qualitative Questions (all open-ended):

    Title of lesson plan One sentence describing the activity topic (e.g., In this activity, students apply their computational thinking skills to explore the life cycle of a butterfly.) One sentence describing the disciplinary learning objective (e.g., The primary learning goal is to model the life cycle of a butterfly.) One sentence describing the computing learning objective (e.g., Students will conditionals to match body features to life stages.) 1-3 sentences describing the instructional paradigm (e.g., Students will discuss butterfli...

  8. p

    Ten Sleep K-12

    • publicschoolreview.com
    json, xml
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    Public School Review, Ten Sleep K-12 [Dataset]. https://www.publicschoolreview.com/ten-sleep-k-12-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2008 - Dec 31, 2025
    Area covered
    Ten Sleep
    Description

    Historical Dataset of Ten Sleep K-12 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 (2011-2015),Asian Student Percentage Comparison Over Years (2009-2020),Hispanic Student Percentage Comparison Over Years (2008-2022),Black Student Percentage Comparison Over Years (2008-2009),White Student Percentage Comparison Over Years (2009-2023),Two or More Races Student Percentage Comparison Over Years (2011-2023),Diversity Score Comparison Over Years (2010-2023),Free Lunch Eligibility Comparison Over Years (2009-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2009-2023),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 (2012-2021)

  9. p

    White Pine K-12 School

    • publicschoolreview.com
    json, xml
    Updated Jun 10, 2025
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    Public School Review (2025). White Pine K-12 School [Dataset]. https://www.publicschoolreview.com/white-pine-k-12-school-profile
    Explore at:
    json, xmlAvailable download formats
    Dataset updated
    Jun 10, 2025
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1987 - Dec 31, 2025
    Description

    Historical Dataset of White Pine K-12 School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2005),Total Classroom Teachers Trends Over Years (1994-2007),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1995-2005),American Indian Student Percentage Comparison Over Years (1989-2005),Asian Student Percentage Comparison Over Years (1990-2005),Hispanic Student Percentage Comparison Over Years (1996-2003),Black Student Percentage Comparison Over Years (2001-2002),White Student Percentage Comparison Over Years (1989-2005),Diversity Score Comparison Over Years (1988-2005),Free Lunch Eligibility Comparison Over Years (1990-2005),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2005)

  10. p

    Polaris K-12 School

    • publicschoolreview.com
    json, xml
    Updated Feb 9, 2025
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    Public School Review (2025). Polaris K-12 School [Dataset]. https://www.publicschoolreview.com/polaris-k-12-school-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1996 - Dec 31, 2025
    Description

    Historical Dataset of Polaris K-12 School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1996-2023),Total Classroom Teachers Trends Over Years (1996-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1996-2023),American Indian Student Percentage Comparison Over Years (1996-2023),Asian Student Percentage Comparison Over Years (1996-2023),Hispanic Student Percentage Comparison Over Years (1996-2023),Black Student Percentage Comparison Over Years (1996-2023),White Student Percentage Comparison Over Years (1996-2023),Native Hawaiian or Pacific Islander Student Percentage Comparison Over Years (2019-2023),Two or More Races Student Percentage Comparison Over Years (2009-2023),Diversity Score Comparison Over Years (1996-2023),Free Lunch Eligibility Comparison Over Years (2003-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2003-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)

  11. p

    Emerson K-12

    • publicschoolreview.com
    json, xml
    Updated Feb 9, 2025
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    Public School Review (2025). Emerson K-12 [Dataset]. https://www.publicschoolreview.com/emerson-k-12-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2001 - Dec 31, 2025
    Description

    Historical Dataset of Emerson K-12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2003-2023),Total Classroom Teachers Trends Over Years (2002-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2012-2023),American Indian Student Percentage Comparison Over Years (2001-2023),Asian Student Percentage Comparison Over Years (2002-2023),Hispanic Student Percentage Comparison Over Years (2003-2023),Black Student Percentage Comparison Over Years (2003-2014),White Student Percentage Comparison Over Years (2003-2023),Native Hawaiian or Pacific Islander Student Percentage Comparison Over Years (2011-2020),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2003-2023),Free Lunch Eligibility Comparison Over Years (2013-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2011-2020),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2011-2019)

  12. p

    Kenosha Eschool K-12

    • publicschoolreview.com
    json, xml
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    Public School Review, Kenosha Eschool K-12 [Dataset]. https://www.publicschoolreview.com/kenosha-eschool-k-12-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2013 - Dec 31, 2025
    Area covered
    Kenosha
    Description

    Historical Dataset of Kenosha Eschool K-12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2013-2023),Total Classroom Teachers Trends Over Years (2013-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2013-2023),American Indian Student Percentage Comparison Over Years (2014-2023),Asian Student Percentage Comparison Over Years (2013-2023),Hispanic Student Percentage Comparison Over Years (2013-2023),Black Student Percentage Comparison Over Years (2013-2023),White Student Percentage Comparison Over Years (2013-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2013-2023),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 (2013-2019),Math Proficiency Comparison Over Years (2013-2019),Overall School Rank Trends Over Years (2013-2019),Graduation Rate Comparison Over Years (2013-2020)

  13. p

    Whittier K-12

    • publicschoolreview.com
    json, xml
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    Public School Review, Whittier K-12 [Dataset]. https://www.publicschoolreview.com/whittier-k-12-profile
    Explore at:
    json, xmlAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    Whittier
    Description

    Historical Dataset of Whittier K-12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1990-2023),Total Classroom Teachers Trends Over Years (1992-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1991-2023),American Indian Student Percentage Comparison Over Years (1991-2023),Asian Student Percentage Comparison Over Years (1990-2023),Hispanic Student Percentage Comparison Over Years (1990-2023),Black Student Percentage Comparison Over Years (1990-2023),White Student Percentage Comparison Over Years (1990-2023),Native Hawaiian or Pacific Islander Student Percentage Comparison Over Years (2011-2015),Two or More Races Student Percentage Comparison Over Years (2010-2023),Diversity Score Comparison Over Years (1990-2023),Free Lunch Eligibility Comparison Over Years (2003-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2002-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022),Overall School Rank Trends Over Years (2010-2022),Graduation Rate Comparison Over Years (2011-2018)

  14. p

    Sierra Grande K-12 School

    • publicschoolreview.com
    json, xml
    Updated Sep 30, 2019
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    Public School Review (2019). Sierra Grande K-12 School [Dataset]. https://www.publicschoolreview.com/sierra-grande-k-12-school-profile
    Explore at:
    json, xmlAvailable download formats
    Dataset updated
    Sep 30, 2019
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1987 - Dec 31, 2025
    Description

    Historical Dataset of Sierra Grande K-12 School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1987-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1987-2023),American Indian Student Percentage Comparison Over Years (2000-2022),Asian Student Percentage Comparison Over Years (1988-2013),Hispanic Student Percentage Comparison Over Years (1991-2023),Black Student Percentage Comparison Over Years (1996-2022),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 (1993-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2003-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)

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    Ucla Community K-12

    • publicschoolreview.com
    json, xml
    Updated Feb 9, 2025
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    Public School Review (2025). Ucla Community K-12 [Dataset]. https://www.publicschoolreview.com/ucla-community-k-12-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2010 - Dec 31, 2025
    Description

    Historical Dataset of Ucla Community K-12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2012-2022),Total Classroom Teachers Trends Over Years (2013-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2012-2022),American Indian Student Percentage Comparison Over Years (2011-2014),Asian Student Percentage Comparison Over Years (2012-2022),Hispanic Student Percentage Comparison Over Years (2012-2022),Black Student Percentage Comparison Over Years (2012-2022),White Student Percentage Comparison Over Years (2011-2022),Native Hawaiian or Pacific Islander Student Percentage Comparison Over Years (2010-2012),Two or More Races Student Percentage Comparison Over Years (2010-2022),Diversity Score Comparison Over Years (2012-2022),Free Lunch Eligibility Comparison Over Years (2011-2022),Reduced-Price Lunch Eligibility Comparison Over Years (2010-2022),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)

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    Mackinaw City K12 School

    • publicschoolreview.com
    json, xml
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    Public School Review, Mackinaw City K12 School [Dataset]. https://www.publicschoolreview.com/mackinaw-city-k12-school-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1987 - Dec 31, 2025
    Area covered
    Mackinaw City
    Description

    Historical Dataset of Mackinaw City K12 School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1994-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1994-2023),American Indian Student Percentage Comparison Over Years (1990-2023),Asian Student Percentage Comparison Over Years (2002-2023),Hispanic Student Percentage Comparison Over Years (1992-2023),Black Student Percentage Comparison Over Years (2000-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1992-2023),Free Lunch Eligibility Comparison Over Years (1998-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2023),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)

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    Mary Meredith K-12 School

    • publicschoolreview.com
    json, xml
    + more versions
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    Public School Review, Mary Meredith K-12 School [Dataset]. https://www.publicschoolreview.com/mary-meredith-k-12-school-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1998 - Dec 31, 2025
    Description

    Historical Dataset of Mary Meredith K-12 School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1999-2023),Total Classroom Teachers Trends Over Years (2001-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2001-2023),American Indian Student Percentage Comparison Over Years (1998-2021),Hispanic Student Percentage Comparison Over Years (1999-2023),Black Student Percentage Comparison Over Years (1998-2023),White Student Percentage Comparison Over Years (1999-2023),Two or More Races Student Percentage Comparison Over Years (2012-2023),Diversity Score Comparison Over Years (1999-2023),Free Lunch Eligibility Comparison Over Years (2004-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2005-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2011-2019)

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    Trends in Total Classroom Teachers (1990-2023): Memorial School

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in Total Classroom Teachers (1990-2023): Memorial School [Dataset]. https://www.publicschoolreview.com/memorial-school-profile/07512
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset tracks annual total classroom teachers amount from 1990 to 2023 for Memorial School

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    Avalon K-12

    • publicschoolreview.com
    json, xml
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    Public School Review, Avalon K-12 [Dataset]. https://www.publicschoolreview.com/avalon-k-12-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1987 - Dec 31, 2025
    Area covered
    Avalon
    Description

    Historical Dataset of Avalon K-12 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),American Indian Student Percentage Comparison Over Years (1996-1998),Asian Student Percentage Comparison Over Years (1993-2014),Hispanic Student Percentage Comparison Over Years (1992-2023),Black Student Percentage Comparison Over Years (1992-2000),White Student Percentage Comparison Over Years (1992-2023),Two or More Races Student Percentage Comparison Over Years (2017-2023),Diversity Score Comparison Over Years (1992-2023),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),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)

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    International Academy Of Flint K12

    • publicschoolreview.com
    json, xml
    Updated Jun 13, 2024
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    Public School Review (2024). International Academy Of Flint K12 [Dataset]. https://www.publicschoolreview.com/international-academy-of-flint-k12-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset updated
    Jun 13, 2024
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 31, 2025
    Description

    Historical Dataset of International Academy Of Flint K12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2003-2023),Total Classroom Teachers Trends Over Years (2002-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2002-2023),American Indian Student Percentage Comparison Over Years (2000-2023),Asian Student Percentage Comparison Over Years (2008-2013),Hispanic Student Percentage Comparison Over Years (2002-2023),Black Student Percentage Comparison Over Years (2003-2023),White Student Percentage Comparison Over Years (2003-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2003-2023),Free Lunch Eligibility Comparison Over Years (2003-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2003-2023),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)

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Department of Education (DOE) (2019). 2015-16 Health Education K-12 - Health Instructors [Dataset]. https://data.cityofnewyork.us/Education/2015-16-Health-Education-K-12-Health-Instructors/nhak-36my

2015-16 Health Education K-12 - Health Instructors

Explore at:
csv, json, xml, application/rssxml, tsv, application/rdfxmlAvailable download formats
Dataset updated
Apr 25, 2019
Dataset authored and provided by
Department of Education (DOE)
Description

Local Law 15 (2016) requires that NYCDOE provide citywide Health Education instructor data, disaggregated by commuunity school district, city council district, and individual school data. Report provides school level data on the number of teachers assigned to teach health in grades K - 12 in the 2015-16 school year. Data is based on STARS scheduling data. Teachers are considered to be health instructors if they were assigned to a health course with active students enrolled during 2015-16 school year. Please note, Health Education in grades K-5 can be taught by the elementary classroom teacher, which helps explain why the elementary grades have a much higher number of teachers assigned to teach health than the middle and high school grades.

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