The statistics show the number of applications to each local authority. They also show the number and proportion of offers based on whether a preferred offer was made and the level of that preference.
The underlying data includes:
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
You can download the data and statistics for school admission year 2023/2024
As of February 1, 1,806,330 applications were submitted to the most selective higher education institutions, who admit less than 25 percent of their applicants, during the 2023/24 academic year in the United States. In comparison, only 847,320 applications had been submitted to highly selective institutions who admit between 25 to 49 percent of their applicants.
The statistics show the number of applications to each local authority. They also show the number and proportion of offers based on whether a preferred offer was made and the level of that preference.
The underlying data includes:
School admissions information for all Chicago Public Schools for the academic year 2024-2025. Each row is a program, and a program can appear multiple times if it belongs to more than one program_group. This allows for a program to be associated with multiple groups. Data set is no longer being updated when data set for next year is created
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The data file (SPSS file) contains data compiled from Peterson's Guide in spring 2014 about college applications, including college name, number of applicants (male and female), acceptance rate, the college's national ranking, and the college's student body size. The dataset is part of a project on gender and competition.
This statistical report from the Department for Education sets out the number of offers made to applicants for both secondary and primary school places. It also covers the proportion that have received preferred offers (1st, 2nd, 3rd preference etc). It is based on the applications made by parents and the offers they received on the respective national offer days of 2 March 2015 (secondary) and 16 April 2015 (primary). Information specific to the London Borough of Barnet can be identified in this resource, as data is available regionally and alphabetically. You can also use the search function to identify Barnet statistics within each dataset.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
School admissions information for all Chicago Public Schools for the academic year 2017-2018.
皇冠体育app statistics show the number of applications to each local authority. 皇冠体育appy also show the number and proportion of offers based on whether a preferred offer was made and the level of that preference.
皇冠体育app underlying data includes:
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Admission into graduate school data. This dataset has a binary response (outcome, dependent) variable called admit. There are three predictor variables: gre, gpa and rank.
2018-2019 report on school applications, offers of admission, enrollment and school seats available for high school, Pre-K, kindergarten and middle school admissions only.
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
This dataset contains details of allocated preferences in past junior admissions rounds - that is when applications are received for York children starting secondary school in Year 7 for the first time.
It includes only those preferences allocated on National Offer Day by admissions criteria group (catchment, religion, sibling etc).
For further information and advice on school admissions you may wish to consult the Guide for Parents or School Admissions at CYC's webpage
Reference Id: OSR07/2012
Publication type: Other statistics
Publication data: Pre-release access data
Local authority data: LA data
Region: England
Release date: 22 March 2012
Coverage status: Final
Publication status: Published
This statistical report gives local authority level information about secondary school applications and offers received by parents on National Offer Day 2012 (1 March), as provided by local authorities. It details the number of applications received, offers made based on preferences expressed, alternative offers and offers to schools within and outside of the local authority.
Alison Ellsworth
01325 735632
In response to Local Law No. 1486-A. Reports on school applications, offers of admission, enrollment, and school seats available. All available seats, applicants, and offers of admissions are for Main Round (for pre-K, Kindergarten, Middle School and High School) admissions only. Data is only included for schools that participate in centralized admissions processes.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This dataset contains details of all preferences in past junior admissions rounds - that is when applications are received for York children starting junior school in Year 3 for the first time.
It includes all preferences by preference status (allocated, refused, withdrawn) and by admissions criteria group (catchment, religion, sibling etc).
For further information and advice on school admissions you may wish to consult the Guide for Parents or School Admissions at CYC's webpage
Ivy League universities are known to be incredibly selective in their admissions processes. Harvard University's acceptance rate for the Class of 2028 (students beginning university in the fall of 2024) was the most selective, with a 3.59 percent acceptance rate, followed by Yale University with a 3.7 percent acceptance rate.
Between 2018 and 2022, the gender share of law school applications in the United States stayed largely the same. The share of women applying increased by two percent during this period, whereas the share of men who applied decreased by three percent. Discrepancies in the totals not adding up to 100 percent were owed to those who chose not to disclose their gender and those who identify as nonbinary or genderqueer/gender-fluid.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This dataset contains details of allocated preferences in past primary admissions rounds - that is when applications are received for York children starting primary or infant school in Reception for the first time.
It includes only those preferences allocated on National Offer Day by admissions criteria group (catchment, religion, sibling etc).
For further information and advice on school admissions you may wish to consult the Guide for Parents or School Admissions at CYC's webpage
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Count and installed capacity of community and school installations applying for accreditation under the Feed-in Tariff scheme. Release discontinued from April 2018. Source agency: Business, Energy and Industrial Strategy Designation: Official Statistics not designated as National Statistics Language: English Alternative title: FiT community and school applications’ statistics
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The file consists of three spreadsheets. This first one is the dataset. It contains information extracted from primary studies that were part of the quantitative synthesis of a systematic review of school randomised admissions. The second tab is the codebook, including a brief description of each variable extracted or assessed from the primary studies, and its corresponding values. The third sheet shows the APA bibliographic reference and access link for each of the primary studies included in the meta-analysis.These data were used for one of the research chapters of the author's PhD thesis, available here https://discovery.ucl.ac.uk/id/eprint/10096351
The statistics show the number of applications to each local authority. They also show the number and proportion of offers based on whether a preferred offer was made and the level of that preference.
The underlying data includes: