An overview of the Centre for Education Statistics, including an overview of the active programs, products and data access.

This collection comprises unaltered data files downloaded from https://eddataexpress.ed.gov/download/data-library on February 6, 2025. The original access page consisted of a table with category filters, which provided links to data ZIP files containing the specified data fields. This table has been saved into tabular data formats here in the Index folder, with the original web links replaced with the matching ZIP filename only, which essentially replicates the functionality of the original web page in a downloadable format.In the website's underlying file structure, the original ZIP files were nested within folders named according to the format EID_####, apparently to avoid conflicts between files with the same name. These seeming duplications might have been due to updates or revisions that had to be made to a data file. To preserve this original order, the ZIP files were renamed by appending the EID number to their original file name. The files were not otherwise unzipped or altered in any way from their original state.At the time of download, the page at https://eddataexpress.ed.gov/download/data-library displayed the following two notices in red:"The COVID-19 pandemic disrupted the collection and reporting of data on EDE, beginning in SY 2019-20. The Department urges abundant caution when using the data and recommends reviewing the relevant data notes prior to use or interpretation. This includes data on state assessments, graduation rates, and chronic absenteeism.""WARNING: The data library functionality has stopped working temporarily for many SY2122 school files. Please go to the download tool page to download your data of interest. We apologize for the inconvenience."--------------------The "About Us" page from the ED Data Express website had this to say about its resources:Purpose of ED Data ExpressED Data Express is a website designed to improve the public's ability to access and explore high-value state- and district-level education data collected by the U.S. Department of Education. The site is designed to be interactive and to present the data in a clear, easy-to-use manner, with options to download information into Excel or to explore the data within the site's grant program dashboards. The site currently includes data from EDFacts, Consolidated State Performance Reports (CSPR), and the Department's Budget Service office. For more information about these topics, please visit the following web pages:https://www2.ed.gov/about/inits/ed/edfacts/index.html [see below for the text of the linked page]https://www2.ed.gov/about/offices/list/om/fs_po/ofo/budget-service.html [this URL was dead at the time of download]Using the SiteED Data Express includes two sections that allow users to access and view the data: (1) grant program data dashboards and (2) download functionality. The grant program data dashboards provide a snapshot of information on the funding, participation and performance of some of the grant programs administered by the U.S. Department of Education's Office of Elementary and Secondary Education. The dashboards are interactive and update depending on the program, state and school year selected. Additional information is provided through data notes as well as through the small "i" icon. The download functionality allows users to build customized tables of data and contain more data than what is available via the dashboards. The download functionality also allows users to download data notes which provide important caveats and contextual information to consider when using the data. Data Included and Frequency of UpdatesThe site currently includes funding, participation and performance data from school years 2010-11 to 2016-17 on formula grant programs administered in the Office of Elementary and Secondary Education. Additional data and data notes will be added to the site over time. Quality Control and Personally Identifiable InformationAll CSPR and EDFacts data are self-reported by each state. The U.S. Department of Education conducts a review of the data and provides feedback to states, but it is ultimately states’ responsibility to verify and certify that their data are correct. Please note that during the reporting years represented on this site, the Office of Elementary and Secondary Education in collaboration with EDFacts and SEAs have wor

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.

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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...

The USAID Opportunities for Equitable Access to Quality Basic Education (OPEQ) activity was a school-based intervention implemented by the International Rescue Committee (IRC) in partnership with the DRC’s Ministry of Education and focusing on early grade reading and math skills. The IRC integrated into OPEQ its social-emotional skills building curriculum which has resulted from the IRC’s education research and experience in conflict and crisis-affected areas. The OPEQ activity had four components: (1) informing national level in-service teacher-training policy and systems, (2) community mobilization and engagement, (3) alternative education and vocational training for out-of-school youth, and (4) Learning in a Healing Classroom (LHC), an in-service teacher professional development and integrated curricular program. The impact evaluation of OPEQ’s LHC activity employed a 3-year cluster-randomized trial, measuring the impact of LHC in treatment schools to wait-list control schools. The intervention was assigned to two cohorts defined by geographic location and timing of implementation. The Katanga 4 cohort had schools that received one year and two years of LHC located in Katanga province. The Kivu+ cohort had schools that received one year of the LHC intervention located in South Kivu and some parts of Katanga province. At each school in the sample, field researchers surveyed 81 students randomly selected from the student enrollment register. For the baseline and midline phases, students in the 2nd, 3rd, and 4th grades were tested. For the endline phase, students in 3rd, 4th, and 5th grades were tested.

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.

Seeking a comprehensive database that encompasses high school students, college attendees, young professionals, or individuals interested in continuing education opportunities?

We offer unparalleled access to premium student data lists, including detailed information on students by name, their parents, college attendees, graduates, and much more. Whether you're aiming to spearhead a direct mail initiative for college readiness programs, further education courses, or even school dance attire, our comprehensive database positions you to seamlessly connect with your ideal customer.

What sort of data do we have?

• College Bound HS Students
• K-12 Data
• College Student Mailing lists
• Homeschool Mailing Lists

We understand the challenges marketers face when reaching prospective students. Our solutions provide a data-driven, results-oriented roadmap to enrollment success. Accurate, demographics-rich student marketing data is critical to your school’s successful marketing plan, especially in today’s competitive environment. Our data alliances enable us to bring to market the most robust portfolio of data lists, including students and their parents, young adults, and working professionals for continuing education programs.

Why Buy Leads From Us? With McGRAW’s student leads, you can build a robust pipeline, drive enrollment growth, and achieve your institution's educational and financial objectives. Our education leads offer:

Targeted Outreach: Connect with students interested in specific programs and fields of study. Comprehensive Data: Gain insights into students' academic interests, career goals, and preferred locations. High Engagement Rates: Reach students who are actively exploring educational options, ensuring higher response rates. Scalable Solutions: Access a wide range of leads to match your institution's enrollment goals and capacity. Quick Integration: Seamlessly integrate leads into your CRM for efficient follow-up and management. Compliance and Accuracy: Ensure all leads are generated through compliant and ethical methods, providing accurate and reliable data. What other industries can utilize the data? There are obvious ways to utilize education data and leads, but there may be some additional industries that could benefit.

Book publishers Colleges Universities Religious Organizations Education Supply Companies Office Supply Companies Fundraising Product Companies

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.

United States US: School Enrollment: Secondary: Female: % Net data was reported at 92.215 % in 2015. This records an increase from the previous number of 90.026 % for 2014. United States US: School Enrollment: Secondary: Female: % Net data is updated yearly, averaging 89.309 % from Dec 1987 (Median) to 2015, with 21 observations. The data reached an all-time high of 92.215 % in 2015 and a record low of 85.694 % in 2002. United States US: School Enrollment: Secondary: Female: % Net data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Education Statistics. Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.; ; 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).

The Integrated Postsecondary Education Data System (IPEDS) is a system of interrelated surveys conducted annually by the U.S. Department of Education's National Center for Education Statistics (NCES). IPEDS annually gathers information from about 6,400 colleges, universities, and technical and vocational institutions that participate in the federal student aid programs. Access Database: To eliminate the step of downloading IPEDS separately by survey component or select variables, IPEDS has made available the entire survey data for one collection year in the Microsoft Access format beginning with the 2004-05 IPEDS data collection year. Each database contains the relational data tables as well as the metadata tables that describe each data table, the variable titles, descriptions and variables types. Value codes and value labels are also available for all categorical variables. When downloading an IPEDS Access Database, the file is compressed using WinZip.

Data in this digital opportunity dashboard comes from students' and families' answers to the Internet Access at Home Survey, which school districts use to gather data on home internet and learning device access for students in their districts. While this is an optional data collection, DPI encouraged districts to collect this information and push it to WISEdata to help drive statewide initiatives to improve digital learning opportunity in Wisconsin. Data is given in percentages to protect student privacy. View statewide digital opportunity data on the WISEdash Public Portal.The digital opportunity questions are the result of a coordinated effort with the Council of Chief State School Officers (CCSSO), Education SuperHighway, and the Ed-Fi Alliance (affiliated with the Dell Foundation). In May 2021, the US Department of Education added these questions as data elements to the Common Educational Data Standard (CEDS). CEDS is the federal government’s framework for all education data, adding significant validation to the questions and items. See the questions DPI provided to districts to use in their surveys here.

With our Education Sector Data, business owners and investors interested in expanding into or investing in the Nigerian educational sector can arm themselves with comprehensive and up-to-date insights about this sector, to guide them through the decision-making process. Users will have access to a comprehensive database of key players in this sectors, which is updated regularly. Our educational institutions database with a list of over 40,000 verified schools from the 36 states across Nigeria, including the Federal Capital Territory (FCT); Abuja, their addresses and contact details will be invaluable for marketing and sales practitioners who seek to sell to this sector. Researchers, non-profit organizations and government institutions interested in understanding the Nigerian educational sector beyond the rhetoric will also find our data to be of immense value.

The World Bank EdStats All Indicator Query holds over 4,000 internationally comparable indicators that describe education access, progression, completion, literacy, teachers, population, and expenditures. The indicators cover the education cycle from pre-primary to vocational and tertiary education. The query also holds learning outcome data from international and regional learning assessments (e.g. PISA, TIMSS, PIRLS), equity data from household surveys, and projection/attainment data to 2050. For further information, please visit the EdStats website.

For further details, please refer to https://datatopics.worldbank.org/education/wRsc/about

Since 1968, OCR has collected civil rights data related to students' access and barriers to educational opportunity from early childhood through grade 12. These data are collected from all public schools and districts, as well as long-term secure juvenile justice facilities, charter schools, alternative schools, and special education schools that focus primarily on serving the educational needs of students with disabilities under IDEA or section 504 of the Rehabilitation Act. The CRDC collects information about student enrollment; access to courses, programs and school staff; and school climate factors, such as bullying, harassment and student discipline. Most data collected by the CRDC are disaggregated by race, ethnicity, sex, disability, and English Learners. Originally known as the Elementary and Secondary School Civil Rights Survey, OCR began by collecting data every year from 1968 to 1974 from a sample of school districts and their schools. Over time, the schedule and approach to data collection has changed. Since the 2011-12 collection, the CRDC has been administered every two years to all public school districts and schools in the 50 states and Washington, D.C., and OCR added the Commonwealth of Puerto Rico for the 2017-18 CRDC. Due to the COVID-19 pandemic that resulted in school closures nationwide, OCR postponed the 2019-20 CRDC and instead collected data from the 2020-21 school year.

The 2020-2021 School Learning Modalities dataset provides weekly estimates of school learning modality (including in-person, remote, or hybrid learning) for U.S. K-12 public and independent charter school districts for the 2020-2021 school year, from August 2020 – June 2021.

These data were modeled using multiple sources of input data (see below) to infer the most likely learning modality of a school district for a given week. These data should be considered district-level estimates and may not always reflect true learning modality, particularly for districts in which data are unavailable. If a district reports multiple modality types within the same week, the modality offered for the majority of those days is reflected in the weekly estimate. All school district metadata are sourced from the https://nces.ed.gov/ccd/files.asp#Fiscal:2,LevelId:5,SchoolYearId:35,Page:1">National Center for Educational Statistics (NCES) for 2020-2021.

School learning modality types are defined as follows:

• In-Person: All schools within the district offer face-to-face instruction 5 days per week to all students at all available grade levels.
• Remote: Schools within the district do not offer face-to-face instruction; all learning is conducted online/remotely to all students at all available grade levels.
• Hybrid: Schools within the district offer a combination of in-person and remote learning; face-to-face instruction is offered less than 5 days per week, or only to a subset of students.

Data Information

• School learning modality data provided here are model estimates using combined input data and are not guaranteed to be 100% accurate. This learning modality dataset was generated by combining data from four different sources: Burbio [1], MCH Strategic Data [2], the AEI/Return to Learn Tracker [3], and state dashboards [4-20]. These data were combined using a Hidden Markov model which infers the sequence of learning modalities (In-Person, Hybrid, or Remote) for each district that is most likely to produce the modalities reported by these sources. This model was trained using data from the 2020-2021 school year. Metadata describing the location, number of schools and number of students in each district comes from NCES [21].
• You can read more about the model in the CDC MMWR: https://www.cdc.gov/mmwr/volumes/70/wr/mm7039e2.htm" target="_blank">COVID-19–Related School Closures and Learning Modality Changes — United States, August 1–September 17, 2021.
• The metrics listed for each school learning modality reflect totals by district and the number of enrolled students per district for which data are available. School districts represented here exclude private schools and include the following NCES subtypes:
  • Public school district that is NOT a component of a supervisory union
  • Public school district that is a component of a supervisory union
  • Independent charter district
• “BI” in the state column refers to school districts funded by the Bureau of Indian Education.

Technical Notes

• Data from September 1, 2020 to June 25, 2021 correspond to the 2020-2021 school year. During this timeframe, all four sources of data were available. Inferred modalities with a probability below 0.75 were deemed inconclusive and were omitted.
• Data for the month of July may show “In Person” status although most school districts are effectively closed during this time for summer break. Users may wish to exclude July data from use for this reason where applicable.

Sources

1. K-12 School Opening Tracker. Burbio 2021; https://cai.burbio.com/school-opening-tracker/. June 2021.
2. COVID-19 IMPACT: School District Operational Status. MCH Strategic Data: 2021; https://www.mchdata.com/covid19/schoolclosings. (30 June 2021, date last accessed).
3. Return to Learn Tracker. American Enterprise Institute 2021; https://www.returntolearntracker.net/. (30 June 2021, date last accessed).
4. Colorado School District Reopening Plans. Colorado Department of Education 2021; https://docs.google.com/spreadsheets/d/e/2PACX-1vQipdjO8QWhilhhJ4bX0FBebnHEzK1G3LEDQbE_S-xRvs2t0oHNm--acHwMRFmL9uKw4cXcOUqy1V66/pubhtml. (30 June 2021, date last accessed).
5. Connecticut Report Cards. Connecticut State Department of Education 2021; http://edsight.ct.gov/SASPortal/main.do. (30 June 2021, date last accessed).
6. COVID Planning Tool. Hawaii Department of Education 2021; https://public.tableau.com/views/COVIDPlanningTool-Embed700px/SimpleDashboard. (30 June 2021, date last accessed).
7. Idaho School District Status. Idaho State Department of Education 2021; https://ioem.maps.arcgis.com/apps/opsdashboard/index.html#/379299e56f234fa89cff3c8c6acf3ac8. (30 June 2021, date last accessed).
8. How Illinois Districts Are Providing Instruction: Virtual, In-Person, and Blended Learning. Illinois State Board of Education 2021; https://isp.maps.arcgis.com/apps/opsdashboard/index.html#/fceeacb37da04de4b237ed941dd7d5c4. (30 June 2021, date last accessed).
9. Digital Learning Model Schools. Louisiana Department of Education 2021; https://analytics.la.gov/t/DOE/views/DigitalLearningModel/SchoolLevelModeofLearning. (30 June 2021, date last accessed).
10. Safe Learning Model Dashboard. Minnesota Department of Education 2021; https://analytics.education.state.mn.us/t/MDEPublic/views/MN_Safe_Learning_Model/Dashboard. (30 June 2021, date last accessed).
11. Coronavirus (COVID-19) information. Missouri Department of Elementary & Secondary Education 2021; https://dese.mo.gov/communications/coronavirus-covid-19-information. (30 June 2021, date last accessed).
12. North Carolina School Dashboard. North Carolina Department of Public Instruction 2021. https://docs.google.com/spreadsheets/d/1We8gDpa4Do5NR83Nf8niGE_YxzLDf-KZh-tVWifStxE/edit#gid=0. (30 June 2021, date last accessed).
13. Ring the Bell: Return to In-Person Learning. New Mexico Public Education Department 2021; https://webnew.ped.state.nm.us/reentry-district-and-school-guidance/. (30 June 2021, date last accessed).
14. Reset and Restart Education. Ohio Department of Education 2021; http://education.ohio.gov/Topics/Reset-and-Restart. (30 June 2021, date last accessed).
15. 2020-21 School Status. Oregon Department of Education 2021; https://www.oregon.gov/ode/students-and-family/healthsafety/Pages/2020-21-School-Status.aspx. (30 June 2021, date last accessed).
16. Current Operational Status. South Carolina Department of Education 2021; https://ed.sc.gov/districts-schools/schools/district-and-school-closures/operational-status/#blk2102. (30 June 2021, date last accessed).
17. Tennessee Department of Education COVID-19 District Information. Tennessee Department of Education 2021; https://districtinformation.tnedu.gov/covid-information/search/-1. (30 June 2021, date last accessed).
18. State Snapshot: Virginia School Operational Status. Virginia Department of Education 2021; https://www.doe.virginia.gov/support/health_medical/office/reopen-status.shtml. (30 June 2021, date last accessed).
19. Current Reopening Status of Vermont's K-12 Public Schools. Vermont Department of Financial Regulation 2021; https://dfr.vermont.gov/about-us/covid-19/school-reopening#public-school. (30 June 2021, date last accessed).
20. School Reopening Data. Washington Office of Superintendent of Public Instruction 2021; https://www.k12.wa.us/about-ospi/press-releases/novel-coronavirus-covid-19-guidance-resources/school-reopening-data. (30 June 2021, date last accessed).
21. Public school districts. National Center for Education Statistics 2021; https://nces.ed.gov/ccd/districtsearch/. (30 June 2021, date last accessed).

Education Data Security Market Outlook

The education data security market size is anticipated to grow from USD 2.3 billion in 2023 to USD 5.9 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 11.1%. This growth is primarily driven by the increasing adoption of digital technologies in educational institutions and the rising concerns over data privacy and protection. As the education sector continues to embrace digital learning platforms, the risk of data breaches and unauthorized access to sensitive information has significantly increased, necessitating robust security measures. Consequently, the demand for advanced data security solutions in educational settings is on the rise, propelling the market forward.

One of the primary growth factors for the education data security market is the increasing digitization in the education sector. With the advent of e-learning platforms, online exams, and digital classrooms, large volumes of sensitive data, such as student records and academic results, are being generated and stored. This surge in digital data has made educational institutions prime targets for cyberattacks. As a result, these institutions are investing heavily in advanced security solutions to protect their data from potential breaches and ensure compliance with data protection regulations. The growing awareness about the importance of data security in safeguarding personal information is also encouraging educational institutions to allocate a significant portion of their budgets to data security solutions.

Additionally, regulatory compliance is a significant driver for the growth of the education data security market. Governments worldwide are implementing stringent data protection regulations to safeguard citizens' personal information. For instance, the General Data Protection Regulation (GDPR) in Europe and the Family Educational Rights and Privacy Act (FERPA) in the United States mandate strict compliance with data security norms for educational institutions. These regulations require institutions to implement comprehensive data security measures to avoid penalties and reputational damage. Consequently, educational institutions are increasingly adopting advanced data security solutions to ensure compliance with these regulations, thus boosting the market's growth.

The increasing frequency and sophistication of cyberattacks targeting educational institutions are further propelling the demand for data security solutions. Cybercriminals are continually developing new methods to exploit vulnerabilities in educational networks, leading to a growing number of data breach incidents. These incidents not only compromise sensitive information but also disrupt academic activities, causing significant financial and reputational damage to institutions. To mitigate these risks, educational institutions are prioritizing the implementation of robust data security solutions, including firewalls, intrusion detection systems, and encryption technologies. This proactive approach to cybersecurity is driving the growth of the education data security market.

Regionally, North America is expected to lead the education data security market, driven by the high adoption rates of digital learning technologies and stringent data protection regulations. The presence of several key market players and advanced IT infrastructure further supports the dominance of this region. Meanwhile, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, owing to the increasing digitization of educational institutions and government initiatives to improve cybersecurity measures. Countries like China and India are investing significantly in upgrading their educational infrastructure, which includes implementing robust data security solutions, thereby contributing to the market's expansion in this region.

Component Analysis

The education data security market is segmented by component into solutions and services. The solutions segment includes a wide range of security technologies such as encryption, data loss prevention, identity and access management, and firewalls. These solutions are specifically designed to protect educational institutions from data breaches and ensure the confidentiality, integrity, and availability of sensitive information. With the increasing volume of data being generated by educational institutions, the demand for comprehensive and integrated security solutions has surged. Institutions are keen on investing in advanced solutions that offer end-to-end protection of their digital assets, thus driving the growth of the solutions segment.</p

The tabular and visual dataset focuses on South African basic education and provides insights into the distribution of schools and basic population statistics across the country. This tabular and visual data are stratified across different quintiles for each provincial and district boundary. The quintile system is used by the South African government to classify schools based on their level of socio-economic disadvantage, with quintile 1 being the most disadvantaged and quintile 5 being the least disadvantaged. The data was joined by extracting information from the debarment of basic education with StatsSA population census data. Thereafter, all tabular data and geo located data were transformed to maps using GIS software and the Python integrated development environment. The dataset includes information on the number of schools and students in each quintile, as well as the population density in each area. The data is displayed through a combination of charts, maps and tables, allowing for easy analysis and interpretation of the information.

Data.ed.gov is the U.S. Department of Education’s solution for publishing, finding, and accessing our public data profiles. This open data catalog brings together the Department’s data assets in a single location, making them available with their metadata, documentation, and APIs for use by the public. The federal government’s Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act) requires government agencies to make data assets open and machine-readable by default. Data.ed.gov is the U.S. Department of Education’s comprehensive data inventory satisfying these requirements while also providing privacy and security. As defined by the Open Definition: Open data is data that can be freely used, re-used and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike. Put simply, open data is data anyone can access, download, and use. Individuals, businesses, and governments can use open education data to bring about social, economic and educational benefits and drive innovation. Share your original analyses, products, and innovations on the Showcase tabs within Data.ed.gov. Open Data Platform - 5 Reasons Why Browse the data, download it, analyze it, or build apps or other tools using our APIs. Share what you do with our data using our Showcase feature. If you are new to open data, learn more here and get started with our How-Tos. If you are preparing an article or organizing a data event, and would like information or support from the Data.ed.gov team, contact us at: odp@ed.gov.

The World Education Reform Database (WERD) includes 14,375 reforms from 216 countries and territories, and close to eighty percent of the reforms are from years ranging from 1970 to 2021. Reforms are drawn from reports to the Organization for Economic Cooperation and Development (OECD), World Bank, and UNESCO, as well as publications produced by country experts. The data are available at the reform level and include the year and country of each reform, as well as a title and brief description.

Patterns of educational attainment vary greatly across countries, and across population groups within countries. In some countries, virtually all children complete basic education whereas in others large groups fall short. The primary purpose of this database, and the associated research program, is to document and analyze these differences using a compilation of a variety of household-based data sets: Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS); Living Standards Measurement Study Surveys (LSMS); as well as country-specific Integrated Household Surveys (IHS) such as Socio-Economic Surveys.As shown at the website associated with this database, there are dramatic differences in attainment by wealth. When households are ranked according to their wealth status (or more precisely, a proxy based on the assets owned by members of the household) there are striking differences in the attainment patterns of children from the richest 20 percent compared to the poorest 20 percent.In Mali in 2012 only 34 percent of 15 to 19 year olds in the poorest quintile have completed grade 1 whereas 80 percent of the richest quintile have done so. In many countries, for example Pakistan, Peru and Indonesia, almost all the children from the wealthiest households have completed at least one year of schooling. In some countries, like Mali and Pakistan, wealth gaps are evident from grade 1 on, in other countries, like Peru and Indonesia, wealth gaps emerge later in the school system.The EdAttain website allows a visual exploration of gaps in attainment and enrollment within and across countries, based on the international database which spans multiple years from over 120 countries and includes indicators disaggregated by wealth, gender and urban/rural location. The database underlying that site can be downloaded from here.

The Integrated Postsecondary Education Data System (IPEDS) is a system of interrelated surveys conducted annually by the U.S. Department of Education's National Center for Education Statistics (NCES). IPEDS annually gathers information from about 6,400 colleges, universities, and technical and vocational institutions that participate in the federal student aid programs. Access Database: To eliminate the step of downloading IPEDS separately by survey component or select variables, IPEDS has made available the entire survey data for one collection year in the Microsoft Access format beginning with the 2004-05 IPEDS data collection year. Each database contains the relational data tables as well as the metadata tables that describe each data table, the variable titles, descriptions and variables types. Value codes and value labels are also available for all categorical variables. When downloading an IPEDS Access Database, the file is compressed using WinZip.