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TwitterThe key statistic in the “Participation Rates in Higher Education” Statistical First Release (SFR) is the Higher Education Initial Participation Rate (HEIPR).
HEIPR was used by BIS (and former Departments) and Her Majesty’s Treasury to track progress on the former Skills PSA target to “Increase participation in Higher Education towards 50 per cent of those aged 18 to 30, with growth of at least a percentage point every two years to the academic year 2010-11”. For example, it was reported in the http://www.bis.gov.uk/assets/biscore/corporate/migratedD/publications/D/DIUS-Annual%20Report-2009">Departmental annual report.
HEIPR has been quoted in http://www.parliament.the-stationery-office.co.uk/pa/cm200809/cmselect/cmpubacc/226/22605.htm">Public Accounts Committees around increasing and widening participation in higher education
HEIPR has been quoted extensively by the http://news.bbc.co.uk/1/hi/education/8596504.stm">Press
BIS receives enquiries (including Freedom of Information (FoI) requests) from the public about HEIPR, including from the following groups:
Figures in the HESA SFRs are high profile and are frequently used in the press and other external publications to illustrate: trends in university entry and graduation, often in the context of current higher education policies; graduate employment/unemployment rates, average salaries, and job quality. Members of the public also often request these figures. Some examples of media coverage are included below:
These statistical outputs are not used to measure progress on any government targets, but the data that underpin them are of importance to funding bodies, Higher Education Institutions, and potential students:
Potential Students – sources such as the http://unistats.direct.gov.uk/">Unistats website use qualifier and graduate employment information to inform students when they are making their choice of what course to study and at which university.
Figures from the HESA statistical outputs are often u
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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
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This dataset tracks annual white student percentage from 2009 to 2023 for Office Of Education Department Of Children And Families School District vs. New Jersey
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TwitterDetailed tables showing the budget history of the U.S. Department of Education from FY 1980 to the FY 2018 President's Budget, by major program, and showing State allocations by State and by program from FY 1980-2017.
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This dataset tracks annual overall district rank from 2010 to 2021 for Office Of Education Department Of Children And Families School District
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This dataset tracks annual reading and language arts proficiency from 2010 to 2021 for Office Of Education Department Of Children And Families School District vs. New Jersey
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The 2021-2022 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 2021-2022 school year and the Fall 2022 semester, from August 2021 – December 2022.
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:
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TwitterThis dataset attempts to represent the point locations of every educational program in the state of Minnesota that is currently operational and reporting to the Minnesota Department of Education. It can be used to identify schools, various individual school programs, school districts (by office location), colleges, and libraries, among other programs. Please note that not all school programs are statutorily required to report, and many types of programs can be reported at any time of the year, so this dataset is by nature an incomplete snapshot in time.
Maintenance of these locations is a result of an ongoing project to identify current school program locations where Food and Nutrition Services Office (FNS) programs are utilized. The FNS Office is in the Minnesota Department of Education (MDE). GIS staff at MDE maintain the dataset using school program and physical addresses provided by local education authorities (LEAs) for an MDE database called "MDE ORG". MDE GIS staff track weekly changes to program locations, along with comprehensive reviews each summer. All records have been reviewed for accuracy or edited at least once since January 1, 2020.
Note that there may remain errors due to the number of program locations and inconsistency in reporting from LEAs and other organizations. Some organization types (such as colleges and treatment programs) are not subject to annual reporting requirements, so various records included in this file may in fact be inactive or inaccurately located.
Note that multiple programs may occur at the same location and are represented as separate records. For example, an elementary and secondary school may be in the same building, but each has a separate record in the data layer. Users may leverage the "CLASS" and "ORGTYPE" attributes to filter and sort records according to their needs. In general, records at the same physical address will be located at the same coordinates.
This data is also available in CSV format. For that format only, OBJECTID and Shape columns are removed, and the Shape column is replaced by Latitude and Longitude columns.
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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:
Data Information
Technical Notes
Sources
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TwitterThis layer serves as the authoritative geographic data source for all school district office locations in California. District office location and attribute information are derived from the California Department of Education"s (CDE) public schools and districts directory and district enrollment file.Since the school districts in this layer are represented as point locations instead of service areas, this layer includes additional district types that do not use geographically defined service areas to determine enrollment such as county offices of education, state special schools and State Board of Education (SBE) charter schools. In order to view districts represented as service area polygons, please see the "California School District Areas" layer.The school district enrollment and demographic information are based on the 2023-24 academic year student enrollment counts collected on Fall Census Day in 2023 (first Wednesday in October). These data elements are collected by the CDE through the California Longitudinal Achievement System (CALPADS) and can be accessed as a downloadable file from the Census Day Enrollment File page on the CDE website.District records are assigned X, Y coordinates using a quality controlled geocoding and validation process to optimize positional accuracy. Most district offices are mapped to the office structure or centroid of the district office property parcel and are individually verified using aerial imagery or assessor"s parcels databases. Districts are assigned various geographic area values based on their mapped locations including state and federal legislative district identifiers and National Center for Education Statistics (NCES) locale codes.
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TwitterThe National Center for Education Statistics' (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated point locations (latitude and longitude) for public elementary, secondary, unified, and supervisory school district administrative offices included in the NCES Common Core of Data (CCD). The CCD is an annual collection of basic administrative characteristics that includes the physical address for all public schools, school districts, and state education agencies in the United States. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations. Collections are available for the following years: 2022-232021-22 2020-21 2019-20 2018-19 2017-18 2016-17 2015-16 All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.
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This dataset tracks annual diversity score from 2009 to 2023 for Office Of Education Department Of Children And Families School District vs. New Jersey
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TwitterSuccess.ai’s Education Marketing Data offers businesses and organizations direct access to verified contact details for educators, administrators, and marketing professionals in the education sector. Sourced from over 170 million verified professional profiles, this dataset includes work emails, direct phone numbers, and LinkedIn profiles, ensuring precise and meaningful connections with decision-makers at schools, universities, training centers, and educational service providers. By using continuously updated and AI-validated data, Success.ai empowers you to engage with the right contacts and drive targeted marketing campaigns, recruitment efforts, and partnership opportunities within the education landscape.
Why Choose Success.ai’s Education Marketing Data?
Comprehensive Contact Information
Global Reach Across Education Segments
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Education Decision-Maker Profiles
Advanced Filters for Precision Targeting
AI-Driven Enrichment
Strategic Use Cases:
Marketing and Enrollment Campaigns
EdTech and Resource Partnerships
Academic Collaboration and Research
Recruitment and Talent Acquisition
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
Data Accuracy with AI Validation
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This dataset tracks annual math proficiency from 2010 to 2021 for Office Of Education Department Of Children And Families School District vs. New Jersey
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This dataset contains the official listing of all public educational organizations in Connecticut. Data elements include district name, school name, organization type, organization code, address, open date, interdistrict magnet status and grades offered.
Included data are collected by the CT State Department of Education (CSDE) through the Directory Manager (DM) portal in accordance with Connecticut General Statute (C.G.S.) 10-4. This critical information is used by other data collection systems and for state and federal reporting.
For more information regarding DM, please visit http://www.csde.state.ct.us/public/directorymanager/default.asp
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TwitterThe Civil Service published weekly data on HQ Office Occupancy from Whitehall departments’ as a proxy measure of ‘return to offices’ following the pandemic. This was suspended in line with pre-election guidance for the duration of the Election Period. Going forward this data will now be published quarterly, resuming October 2024.
Press enquiries: pressoffice@cabinetoffice.gov.uk
The data was originally gathered for internal purposes to indicate the progress being made by departments in returning to the workplace in greater numbers. Data was collected in respect of Departmental HQ buildings to gain a general understanding of each department’s position without requiring departments to introduce data collection methods across their whole estate which would be expensive and resource intensive.
These figures are representative of employees whose home location is their departmental HQ building. These figures do not include contractors and visitors. Departments providing data are listed below.
All data presented is sourced and collected by departments and provided to the Cabinet Office. The data presented are not Official Statistics.
There are four main methods used to collect the Daily Average Number of Employees in the HQ building:
It is for departments to determine the most appropriate method of collection. This data does not capture employees working in other locations such as other government buildings, other workplaces or working from home.
The data provided is for Departmental HQ buildings only and inferences about the wider workforce cannot be made.
The data should not be used to make comparisons between departments. The factors determining the numbers of employees working in the workplace will differ across departments, this is due to, the variation in operating models and the broad range of public services they deliver. The different data collection methods used by departments will also make comparisons between departments invalid.
Percentage of employees working in the HQ building compared to building capacity is calculated by: Monthly total number of employees in the HQ building divided by the monthly capacity of the HQ building.
In the majority of cases the HQ building is defined as where the Secretary of State for that department is based.
Current Daily Capacity is the total number of people that can be accommodated in the building.
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This dataset tracks annual black student percentage from 2009 to 2023 for Office Of Education Department Of Children And Families School District vs. New Jersey
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TwitterThe Nevada County Board of Education has three Trustee Areas.The Nevada County Board of Education is the elected governing body of the Nevada County Office of Education. It’s five members serve four-year terms; are elected by voters in Nevada County; and represent different regions of the county. The primary responsibilities of the Nevada County Board of Education are to work with the Nevada County Superintendent of Schools to establish the direction and priorities for the Nevada County Office of Education through its budgetary determinations and to provide leadership to support the success of school districts in the county. In addition, supervisory oversight is provided for any charter school whose petition was accepted by the county office of education.Source: https://nevco.org/nevada-county-board-of-education/Questions about the Board of Education can be emailed to Samie White (Assistant to the Superintendent/Board Secretary): swhite@nevco.org
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This dataset tracks annual two or more races student percentage from 2019 to 2021 for Office Of Education Department Of Children And Families School District vs. New Jersey
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TwitterArchived: This page provides the most recent media advisories from the US Department of Education.