OSPI is required per RCW 28A.300.615 to collect the following five pieces of information about substitute teachers who were hired at each district regardless of duration or frequency of employment per school year.

The number of substitute teachers hired per school year; The number of hours worked by each substitute teacher; The number of substitute teachers that received benefits under the school employees' benefits board; The full daily compensation rate per substitute teacher; and The reason for hiring the substitute teacher. The following data displays summarize at the state, ESD, district, and local levels. They also include substitute teachers' demographics, years of teaching experience, and geographic location. These data will be used to better understand districts’ hiring and compensation for long-term and short-term staffing needs. It can also be used to analyze support and resource needs for effective hiring, support, development, and retention of substitute teachers.

Important notes about this data display:

These data were provided by districts from the previous school year Substitute teachers may work in more than one district and for more than one reason. Substitute teachers are counted once per district, per reason for hire. Not all districts have substitute teachers Not all districts responded to OSPI's request to fulfill the data collection

To understand the perceptions of families, students, and teachers regarding their school. School leaders use feedback from the survey to reflect and make improvements to schools and programs. Also, results from the survey used to help measure school quality. 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.

Please note: The larger complete data file is downloadable under the Attachments Section

2017 NYC School Survey teacher data for all schools; To understand the perceptions of families, students, and teachers regarding their school. School leaders use feedback from the survey to reflect and make improvements to schools and programs. Also, results from the survey used to help measure school quality. 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.

Turkmenistan TM: Trained Teachers in Secondary Education: % of Total Teachers data was reported at 99.679 % in 2021. This records a decrease from the previous number of 99.793 % for 2020. Turkmenistan TM: Trained Teachers in Secondary Education: % of Total Teachers data is updated yearly, averaging 99.679 % from Dec 2019 (Median) to 2021, with 3 observations. The data reached an all-time high of 99.793 % in 2020 and a record low of 99.406 % in 2019. Turkmenistan TM: Trained Teachers in 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 Turkmenistan – Table TM.World Bank.WDI: Social: Education Statistics. Trained teachers in secondary education are the percentage of 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 September 30, 2024. https://apiportal.uis.unesco.org/bdds.;Weighted average;

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...

(1) Teacher data is correct as at 31 December in each year (Prior to 1996, data is correct as at June in each year).

Brazil Trained Teachers in Primary Education: % of Total Teachers data was reported at 93.000 % in 2021. This records an increase from the previous number of 92.242 % for 2020. Brazil Trained Teachers in Primary Education: % of Total Teachers data is updated yearly, averaging 92.242 % from Dec 2019 (Median) to 2021, with 3 observations. The data reached an all-time high of 93.000 % in 2021 and a record low of 91.168 % in 2019. Brazil Trained Teachers in Primary Education: % of Total Teachers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Social: Education Statistics. Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 24, 2024. https://apiportal.uis.unesco.org/bdds.;Weighted average;

The purpose of the study: to provide impartial information for the school, its students, and their parents (caregivers, foster parents) about the achievements to make decisions on the further improvements of teaching and studying on student, teacher, class, school, municipality, and national level. The objectives of National Survey of Student Achievement (NASA): to collect the information for monitoring the national students’ achievements, planning the novelties, and implementing the novelties for monitoring the success; to evaluate the educational content, and substantiating students’ achievement criteria based on collected data; to prepare the necessary tools (i.e., standardized tests, etc.) for students and teachers for the impartial evaluation of their work results; to prepare the necessary tools (i.e., standardized tests, etc.) for the municipality’s education subdivisions and school principals for collecting the required data of work result assessments and planning of activities. National Survey of Student Achievement, first implemented in 2002, became the responsibility of the Education Supply Centre. Due to economic reasons, the assessments were not provided from 2009 to 2011. In 2012, the renewed assessment implementation was consigned to the National Examination Centre. Since the 2nd of September, 2019, the National Agency of Education took over the activities of the National Examination Centre and continues to carry them on to this day. In 2012, 5 NASA surveys were carried out. One line in SPSS Statistics from the 2012 National Survey of Student Achievement coincides with the achievements or questionnaire answers of one particular student or a teacher. The information provided in databases is impersonal - a student or a teacher is identified based on code, without providing the class or school’s name. Each school that has participated in the 2012 National Survey of Student Achievement received a unique five-number school code. The code used for identifying the schools of both grade 4 and grade 8 students and teachers consists of a school code and the numbers identifying a class and a student. The class code in the student’s database coincides with the code in the teacher’s database. To connect these databases, the variable named “ID_klase” would have to be used as an identifier. This dataset contains data from a survey of primary school the 4th grade teachers. All the provided questionnaire answers from teachers appear in teacher databases from the 2012 National Survey of Student Achievement. The same questionnaire was given to all the teachers. The teacher questionnaire consisted of general questions (to analyse the educational context), as well as personal questions or questions about the objective field. Dataset "NSSA 2012: 4th Grade Teachers Study, 2012" metadata and data were prepared implementing project "Disparities in School Achievement from a Person and Variable-Oriented Perspective: A Prototype of a Learning Analytics Tool NO-GAP" from 2020 to 2023. Project leader is chief research fellow Rasa Erentaitė. Project is funded by the European Regional Development Fund according to the 2014–2020 Operational Programme for the European Union Funds’ Investments, under measure’s No. 01.2.2-LMT-K-718 activity “Research Projects Implemented by World-class Researcher Groups to develop R&D activities relevant to economic sectors, which could later be commercialized” under a grant agreement with the Lithuanian Research Council (LMTLT).

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

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

United States Trained Teachers in Primary Education: Male: % of Male Teachers data was reported at 100.000 % in 2022. This stayed constant from the previous number of 100.000 % for 2021. United States Trained Teachers in Primary Education: Male: % of Male Teachers data is updated yearly, averaging 100.000 % from Dec 2014 (Median) to 2022, with 9 observations. The data reached an all-time high of 100.000 % in 2022 and a record low of 100.000 % in 2022. United States Trained Teachers in Primary Education: Male: % of Male Teachers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Social: Education Statistics. Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.;Weighted average;

Indonesia Trained Teachers in Secondary Education: Male: % of Male Teachers data was reported at 38.019 % in 2023. This records a decrease from the previous number of 38.838 % for 2022. Indonesia Trained Teachers in Secondary Education: Male: % of Male Teachers data is updated yearly, averaging 38.429 % from Dec 2022 (Median) to 2023, with 2 observations. The data reached an all-time high of 38.838 % in 2022 and a record low of 38.019 % in 2023. Indonesia Trained Teachers in Secondary Education: Male: % of Male Teachers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Social: Education Statistics. Trained teachers in secondary education are the percentage of 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 September 30, 2024. https://apiportal.uis.unesco.org/bdds.;Weighted average;

This dataset contains records for each public elementary and secondary education agency in the 50 states, the District of Columbia, and United States territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands) for 1995-1996. Records in this file provide the National Center for Education Statistics and state identification numbers, agency name, address, and telephone number, county name, agency type (regular school district, component of supervisory union, headquarters of supervisory union, regional educational service agency, state-operated agency, federally-operated agency, other), metropolitan status, Metropolitan Statistical Area (MSA) code if applicable, number of students (ungraded/PK-12), number of students with special Individual Education Programs (IEPs), number of high school completers (regular diploma/other diploma/other completers), number of classroom teachers and staff, and grades 7-12 dropout data.

2015 NYC School Survey teacher data for all schools To understand the perceptions of families, students, and teachers regarding their school. School leaders use feedback from the survey to reflect and make improvements to schools and programs. Also, results from the survey used to help measure school quality. 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.

Laos LA: Trained Teachers in Secondary Education: % of Total Teachers data was reported at 97.179 % in 2016. This records a decrease from the previous number of 99.339 % for 2015. Laos LA: Trained Teachers in Secondary Education: % of Total Teachers data is updated yearly, averaging 97.549 % from Dec 1999 (Median) to 2016, with 18 observations. The data reached an all-time high of 99.631 % in 2014 and a record low of 89.502 % in 2008. Laos LA: Trained Teachers in 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 Laos – Table LA.World Bank: Education Statistics. Trained teachers in secondary education are the percentage of 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; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Trained teachers in primary education (% of total teachers) in Mexico was reported at 90.94 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Mexico - Trained teachers in primary education (% of total teachers) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

Abstract This study aims to evaluate how the sociodemographic characteristics and the school environment affect the probability of violence toward the teacher. In a complementary way, we investigate the impact of school violence on content developed in class, variable related to students’ learning. We use data from the National System for the Evaluation of Basic Education in 2017 and the multinominal Logit and Logit models. The results show that teachers’ personal characteristics such as being a man, older, and receiving low salary increase the likelihood of reports of physical violence. In addition, teachers who teach in classes made up of a majority of non-white, male, single-parent families and low mother education students are more likely to report violence. It is also worth mentioning that reporting being a victim, whether physical or against property, considerably decreases the chances of teachers developing the programmed content.

The purpose of the study: to provide impartial information for the school, its students, and their parents (caregivers, foster parents) about the achievements to make decisions on the further improvements of teaching and studying on student, teacher, class, school, municipality, and national level. The objectives of National Survey of Student Achievement (NASA): to collect the information for monitoring the national students’ achievements, planning the novelties, and implementing the novelties for monitoring the success; to evaluate the educational content, and substantiating students’ achievement criteria based on collected data; to prepare the necessary tools (i.e., standardized tests, etc.) for students and teachers for the impartial evaluation of their work results; to prepare the necessary tools (i.e., standardized tests, etc.) for the municipality’s education subdivisions and school principals for collecting the required data of work result assessments and planning of activities. National Survey of Student Achievement, first implemented in 2002, became the responsibility of the Education Supply Centre. Due to economic reasons, the assessments were not provided from 2009 to 2011. In 2012, the renewed assessment implementation was consigned to the National Examination Centre. Since the 2nd of September, 2019, the National Agency of Education took over the activities of the National Examination Centre and continues to carry them on to this day. In 2014, 5 NASA surveys were carried out. One line in SPSS Statistics from the 2014 National Survey of Student Achievement coincides with the achievements or questionnaire answers of one particular student or a teacher. The information provided in databases is impersonal - a student or a teacher is identified based on code, without providing the class or school’s name. Each school that has participated in the 2014 National Survey of Student Achievement received a unique five-number school code. The code used for identifying the schools of both grade 4 and grade 8 students and teachers consists of a school code and the numbers identifying a class and a student. The class code in the student’s database coincides with the code in the teacher’s database. To connect these databases, the variable named “ID_klase” would have to be used as an identifier. This dataset contains data from a survey of 8th grade teachers of the lithuanian language study. All the provided questionnaire answers from teachers appear in teacher databases from the 2014 National Survey of Student Achievement. The same questionnaire was given to all the teachers. The teacher questionnaire consisted of general questions (to analyse the educational context), as well as personal questions or questions about the objective field. Dataset "NSSA 2014: 8th Grade Teachers of the Lithuanian Language Study, 2014" metadata and data were prepared implementing project "Disparities in School Achievement from a Person and Variable-Oriented Perspective: A Prototype of a Learning Analytics Tool NO-GAP" from 2020 to 2023. Project leader is chief research fellow Rasa Erentaitė. Project is funded by the European Regional Development Fund according to the 2014–2020 Operational Programme for the European Union Funds’ Investments, under measure’s No. 01.2.2-LMT-K-718 activity “Research Projects Implemented by World-class Researcher Groups to develop R&D activities relevant to economic sectors, which could later be commercialized” under a grant agreement with the Lithuanian Research Council (LMTLT).

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.

Number of teachers, and types of teachers, by school in Alaska. Includes historical data from 2016 to present. Select 'Open in Map Viewer', or add this data to the Build Your Own Map application. From the Layer List, expand this map service to change what is visible on the map.Source: Department of Education & Early DevelopmentThis data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Department of Education & Early Development Data Center.