This dashboard displays state and district level educator data by race and ethnicity. It was created to support the Massachusetts Department of Elementary and Secondary Education's commitment to provide all students with a racially diverse and culturally responsive educator workforce.

The Employed Educators Report provides the most recent three years of data for educators employed in Massachusetts public schools. Total educators, new hires, retention, experienced educators, and in-field data are displayed by job classification.

This dashboard contains the same data that is also published in the following datasets in the E2C Hub: Educator Dashboard: MTEL Educator Dashboard: Licensure Educator Dashboard: Educator Preparation Educator Dashboard: Teacher Indicators Educator Dashboard: Total Educators, Retention, and New Hires

The Bedford City School District serves as the educational hub for the communities of Bedford, Bedford Heights, Oakwood Village, and Walton Hills in Northeast Ohio. With a commitment to fostering comprehensive growth in its nearly 3,000 students, the district offers a range of academic programs, from preschool to high school, and includes a variety of extracurricular activities and resources to support student success.

Throughout its website, the Bedford City School District provides important information and resources for parents, students, and the community. From district announcements and news to departmental information and staff directories, the website serves as a valuable tool for staying informed about district events, policies, and initiatives. Additionally, the district's social media channels offer a platform for sharing updates, promoting student achievements, and engaging with the community.

The Educator Sexual Misconduct Database identifies a sample of criminal cases related to educator sexual misconduct (regardless of the specific criminal statute the defendant was ultimately charged under). The sample of cases all involve a defendant who was connected to the victim through their roles as an educator or school staff member, and who are alleged to have had physical sexual contact with a minor. This database provides a sample of criminal cases specific to educator sexual misconduct even if the defendant's custodial relationship to the minor is not specifically referenced in any of the criminal charges. The sample was identified through news media coverage of criminal proceedings based on a content analysis of newspaper archives and court records available in the LexisNexis news. Cases include convictions ranging from improper relationship between educator and student, to contributing to the delinquency of a minor.

This dataset contains statistically weighted estimates of initial education levels, highest education levels, and initial education locations for 43 key health workforce professions actively licensed in California as of July 1st, 2023. These metrics can be compared by workforce category, license type, time since license issue date (in years), race & ethnicity group, assigned sex at birth, and CHIS region.

Algeria DZ: Primary Education: Teachers data was reported at 212,345.000 Person in 2023. This records an increase from the previous number of 206,998.000 Person for 2022. Algeria DZ: Primary Education: Teachers data is updated yearly, averaging 159,115.000 Person from Dec 1971 (Median) to 2023, with 49 observations. The data reached an all-time high of 222,838.000 Person in 2019 and a record low of 47,178.000 Person in 1971. Algeria DZ: Primary Education: Teachers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Algeria – Table DZ.World Bank.WDI: Social: Education Statistics. Primary education teachers includes full-time and part-time teachers.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Sum;

To collect feedback on their learning environment from families, students and teachers. Aids in facilitating the understanding of families perceptions, students, and teachers regarding their school. School leaders use feedback from the survey to reflect and make improvements to schools and programs. Each year all parents, teachers and students in grades 6-12 take the NYC School Survey. The survey is aligned to the DOE's Framework for Great Schools. It is designed to collect important information about each school's ability to support student success.

National Science Foundation's Access is a program that provides advanced computing systems and services to researchers and educators, completely free of charge. Established to help researchers utilize the nation's advanced computing systems and services, Access is designed to meet the increasing demand for cyberinfrastructure in the scientific community. nnAccess offers a range of resources, from advanced computational resources to data management and analytics, all accessible through a single interface. With a focus on collaboration and community-driven innovation, Access is dedicated to empowering researchers to tackle complex scientific problems and drive discovery.

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

The Postsecondary Education Participants System (PEPS) is the Office of Federal Student Aid (FSA) management information system of all organizations that have a role in administering student financial aid and other Higher Education Act programs. PEPS maintains eligibility, certification, demographic, financial, review, audit, and default rate data about schools, lenders, and guarantors participating in the Title IV programs.

Publicly accessible databases often impose query limits or require registration. Even when I maintain public and limit-free APIs, I never wanted to host a public database because I tend to think that the connection strings are a problem for the user.

I’ve decided to host different light/medium size by using PostgreSQL, MySQL and SQL Server backends (in strict descending order of preference!).

Why 3 database backends? I think there are a ton of small edge cases when moving between DB back ends and so testing lots with live databases is quite valuable. With this resource you can benchmark speed, compression, and DDL types.

Please send me a tweet if you need the connection strings for your lectures or workshops. My Twitter username is @pachamaltese. See the SQL dumps on each section to have the data locally.

Includes data files and supplemental information. Supplemental information includes a reproducible RMarkdown file, an Excel sheet with metadata, and complete webpage files. Please not that CCD nonfiscal documentation files have been downloaded manually.From the Common Core of Data website:The Common Core of Data (CCD) is the Department of Education's primary database on public elementary and secondary education in the United States. CCD is a comprehensive, annual, national database of all public elementary and secondary schools and school districts.Information on the Common Core of Data (CCD)The primary purpose of the CCD is to provide basic information on public elementary and secondary schools, local education agencies (LEAs), and state education agencies (SEAs) for each state, the District of Columbia, and the outlying territories with a U.S. relationship. CCD is composed of two components: Nonfiscal CCD and Fiscal CCD.

The Annual Arts Education survey collects information on student participation in and access to arts education at NYCDOE schools.

Please note the following arts-related data are now collected from other sources: The number of certified art teachers and non-certified teachers teaching the arts is collected form the HR and BEDS survey The arts instructional hours provided to elementary students are collected from the Student Transcript and Academic Recording System (STARS) The middle and high school participation in the arts data and the NYSED requirement data are collected form STARS and the HS arts sequence data are also collected form STARS

Background, Methodology:

Local Law 102 enacted in 2015 requires the Department of Education of the New York City School District to submit to the Council an annual report concerning physical education for the prior school year.

This report provides information about average frequency and average total minutes per week of physical education as defined in Local Law 102 as reported through the 2015-2016 STARS database. It is important to note that schools self-report their scheduling information in STARS. The report also includes information regarding the number and ratio of certified physical education instructors and designated physical education instructional space.

This report consists of six tabs:

1. PE Instruction Borough-Level
2. PE Instruction District-Level
3. PE Instruction School-Level
4. Certified PE Teachers
5. PE Space

6. Supplemental Programs

7. PE Instruction Borough-Level

This tab includes the average frequency and average total minutes per week of physical education by borough, disaggregated by grade, race and ethnicity, gender, special education status and English language learner status. This report only includes students who were enrolled in the same school across all academic terms in the 2015-16 school year. Data on students with disabilities and English language learners are as of the end of the 2015-16 school year. Data on adaptive PE is based on individualized education programs (IEP) finalized on or before 05/31/2016.

1. PE Instruction District-Level

This tab includes the average frequency and average total minutes per week of physical education by district, disaggregated by grade, race and ethnicity, gender, special education status and English language learner status. This report only includes students who were enrolled in the same school across all academic terms in the 2015-16 school year. Data on students with disabilities and English language learners are as of the end of the 2015-16 school year. Data on adaptive PE is based on individualized education programs (IEP) finalized on or before 05/31/2016.

1. PE Instruction School-Level

This tab includes the average frequency and average total minutes per week of physical education by school, disaggregated by grade, race and ethnicity, gender, special education status and English language learner status. This report only includes students who were enrolled in the same school across all academic terms in the 2015-16 school year. Data on students with disabilities and English language learners are as of the end of the 2015-16 school year. Data on adaptive PE is based on individualized education programs (IEP) finalized on or before 05/31/2016.

1. Certified PE Teachers

This tab provides the number of designated full-time and part-time physical education certified instructors. Does not include elementary, early childhood and K-8 physical education teachers that provide physical education instruction under a common branches license. Also includes ratio of full time instructors teaching in a physical education license to students by school. Data reported is for the 2015-2016 school year as of 10/31/2015.

1. PE Space

This tab provides information on all designated indoor, outdoor and off-site spaces used by the school for physical education as reported through the Principal Annual Space Survey and the Outdoor Yard Report. It is important to note that information on each room category is self-reported by principals, and principals determine how each room is classified. Data captures if the PE space is co-located, used by another school or used for another purpose. Includes gyms, athletic fields, auxiliary exercise spaces, dance rooms, field houses, multipurpose spaces, outdoor yards, off-site locations, playrooms, swimming pools and weight rooms as designated PE Space.

1. Supplemental Programs

This tab provides information on the department's supplemental physical education program and a list of schools that use it.I. Includes all Move-to-Improve (MTI) supplemental programs for the 2015-2016 school year.

Link to NY State PE Regulations: http://www.p12.nysed.gov/ciai/pe/documents/title8part135.pdf

Any questions regarding this report should be directed to: Nnennaya Okezie, Executive Director NYC Department of Education, Office of Intergovernmental Affairs Phone: 212-374-4947"

Idiosyncrasies or limitations of the data to be aware of:

PLEASE READ THIS DATASET DESCRIPTION IN FULL BEFORE EXPORTING ANY DATA.

This dataset provides transparency about the names and amounts of payments from county school boards to payees. More information about the statute for this dataset is under Maryland Education Article §5-115.

https://mgaleg.maryland.gov/mgawebsite/Laws/StatuteText?article=ged&section=5-115&enactments=false

Each county annually reports payment information about any payee who received an aggregate payment of $25,000 in a fiscal year from a school board.

This started with Fiscal Year 2019 payments. We now have payments data through Fiscal Year 2024 (6/30/24).

Baltimore County is also required to provide the purpose of the payment and whether the payee is a minority business enterprise.

Montgomery County and Howard County data goes back to 2010. Baltimore County and Prince George’s County goes back to 2012. 2019 is the first year where are all counties were required to submit the data with payee names and amounts.

Separately, Prince George’s County is required to provide additional detail from Education Article §5-101. That info is not part of this dataset.

https://mgaleg.maryland.gov/mgawebsite/Laws/StatuteText?article=ged&section=5-101&enactments=False&archived=False

Description:

This dataset combines data from three sources to provide a comprehensive overview of county-level socioeconomic indicators, educational attainment, and voting outcomes in the United States. The dataset includes variables such as unemployment rates, median household income, urban influence codes, education levels, and voting percentages for the 2020 U.S. presidential election. By integrating this data, the dataset enables analysis of how factors like income, education, and unemployment correlate with political preferences, offering insights into regional voting behaviors across the country.

References:

The following reference datasets were used to construct this dataset.

[1] Harvard Dataverse, Voting Data Set by County. Available: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi: 10.7910/DVN/VOQCHQ

[2] USDA Economic Research Service, Educational Attainment and Un- employment Data. Available: https://www.ers.usda.gov/data-products/ county-level-data-sets/county-level-data-sets-download-data/

Graph and download economic data for Government current expenditures: Education (G160291A027NBEA) from 1959 to 2024 about education, expenditures, government, GDP, and USA.

Dataset Overview 📝

The dataset includes the following key indicators, collected for over 200 countries:

• Government Expenditure on Education (% of GDP): Shows the percentage of a country’s GDP allocated to education.
• Literacy Rate (Adult Total): Represents the percentage of the population aged 15 and above who can read and write.
• Primary Completion Rate: The percentage of children who complete their primary education within the official age group.
• Pupil-Teacher Ratio (Primary and Secondary Education): Indicates the average number of students per teacher at the primary and secondary levels.
• School Enrollment Rates (Primary, Secondary, Tertiary): Reflects the percentage of the relevant age group enrolled in schools across different education levels.

Data Source 🌐

World Bank: This dataset is compiled from the World Bank's educational database, providing reliable, updated statistics on educational progress worldwide.

Potential Use Cases 🔍 This dataset is ideal for anyone interested in:

Educational Research: Understanding how education spending and policies impact literacy, enrollment, and overall educational outcomes. Predictive Modeling: Building models to predict educational success factors, such as completion rates and literacy. Global Education Analysis: Analyzing trends in global education systems and how different countries allocate resources to education. Policy Development: Helping governments and organizations make data-driven decisions regarding educational reforms and funding.

Key Questions You Can Explore 🤔

How does government expenditure on education correlate with literacy rates and school enrollment across different regions? What are the trends in pupil-teacher ratios over time, and how do they affect educational outcomes? How do education indicators differ between low-income and high-income countries? Can we predict which countries will achieve universal primary education based on current trends?

Important Notes ⚠️ - Missing Data: Some values may be missing for certain years or countries. Consider using techniques like forward filling or interpolation when working with time series models. - Data Limitations: This dataset provides global averages and may not capture regional disparities within countries.

Comprehensive dataset containing 58 verified Special educator businesses in Spain with complete contact information, ratings, reviews, and location data.

United States Trained Teachers in Lower Secondary 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 Lower Secondary 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 Lower Secondary 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 lower secondary education are the percentage of lower secondary 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;

Argentina AR: Primary Education: Teachers data was reported at 292,277.000 Person in 2022. This records an increase from the previous number of 289,846.000 Person for 2021. Argentina AR: Primary Education: Teachers data is updated yearly, averaging 259,579.000 Person from Dec 1970 (Median) to 2022, with 43 observations. The data reached an all-time high of 313,764.000 Person in 1996 and a record low of 175,929.000 Person in 1970. Argentina AR: Primary Education: Teachers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Argentina – Table AR.World Bank.WDI: Social: Education Statistics. Primary education teachers includes full-time and part-time teachers.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Sum;