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TwitterA curated dataset of Ivy League admissions metrics by class year and institution, including overall acceptance rate, Regular Decision acceptance rate, Early Decision/Action acceptance rate, % of class filled by early applicants, and application volumes.
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You can download the data and statistics for school admission year 2023/2024
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TwitterThe 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:
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TwitterAs of February 1, ********* 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 ******* applications had been submitted to highly selective institutions who admit between 25 and 49 percent of their applicants.
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TwitterThere were approximately 18.58 million college students in the U.S. in 2022, with around 13.49 million enrolled in public colleges and a further 5.09 million students enrolled in private colleges. The figures are projected to remain relatively constant over the next few years.
What is the most expensive college in the U.S.? The overall number of higher education institutions in the U.S. totals around 4,000, and California is the state with the most. One important factor that students – and their parents – must consider before choosing a college is cost. With annual expenses totaling almost 78,000 U.S. dollars, Harvey Mudd College in California was the most expensive college for the 2021-2022 academic year. There are three major costs of college: tuition, room, and board. The difference in on-campus and off-campus accommodation costs is often negligible, but they can change greatly depending on the college town.
The differences between public and private colleges Public colleges, also called state colleges, are mostly funded by state governments. Private colleges, on the other hand, are not funded by the government but by private donors and endowments. Typically, private institutions are much more expensive. Public colleges tend to offer different tuition fees for students based on whether they live in-state or out-of-state, while private colleges have the same tuition cost for every student.
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TwitterOpen Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
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You can download the data and statistics for school admission year 2024/2025
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This dataset includes current and past Published Admission Numbers for schools in York. Published Admission Numbers are set by admissions authorities as the number of pupils intended to be admitted into the year of entry. For further information and advice on school admissions you may wish to consult the Guide for Parents or School Admissions at CYC's webpage
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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
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TwitterOpen Government Licence 2.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/2/
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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
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TwitterFinland's largest university of applied sciences, Metropolia University of Applied Sciences, had more than 45,000 applicants in 2024, of whom 5,718 were admitted for 2024. In during the same year, over 4,300 applicants accepted the admission offer to Häme University of Applied Sciences.
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TwitterIn 2022, about **** million male students were enrolled in degree-granting postsecondary institutions as undergraduates. This is compared to **** million female undergraduate students who were enrolled in that same year. By 2031, these figures are projected to increase to **** million and *** million respectively.
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TwitterThe statistics show the number of applications for each local authority. They also show the proportion of offers based on whether a preferred offer was made and the level of preference.
A written commentary and data tables are provided for secondary and primary applications and offers.
The underlying data shows:
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TwitterPublic Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
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For English, see below This file contains: - the number of COVID-19 hospital and IC admissions per age group in the Netherlands, per week of hospital or IC admission and per week on which the data were reported to the NICE registry (https: //www.stichting-nice.nl). The numbers concern COVID-19 hospital and IC admissions since the first report in the Netherlands (27/02/2020) up to and including the most recent complete week of admission. The registration of the number of COVID-19 hospital and IC admissions may be lagging behind. This may result in the date of recording and the date of the report falling in a different calendar week. Hospital or ICU admissions from the most recent complete week of admission may have been reported in the current incomplete week and are therefore shown in this file. Hospital and ICU admissions from the most recent incomplete week are not included in this file but are censored with the value “NaN” (Not a number). The file is structured as follows: - One record per week of statistics for the Netherlands, even if there are no recordings or reports for the week in question. The numbers are then 0 (zero). -The stated date for statistics may relate to a hospital or IC admission date or the date on which the hospital reported a hospital or IC admission to the NICE registry. Description of the variables: Version: version number of the dataset. When the content of the dataset is structurally changed (so not the daily update or a correction at record level), the version number will be adjusted (+1) and also the corresponding metadata in RIVMdata (Https://data.rivm.nl) . Version 2 update (August 9, 2022): - From August 9, 2022, new admissions of persons with a SARS-CoV-2 infection who were also admitted during a previous COVID-19 episode have been added to this open data file. For this reason, the number of withdrawals with retroactive effect is higher than in our previous files. The underestimation of admissions since the start of the pandemic to August 9, 2022 is less than 1%. A recording is counted as a new recording when a person with a SARS-CoV-2 infection has a recording date that is more than 90 days after the previous recording. Version 3 update (September 1, 2022): - From September 1, 2022, the data will no longer be updated every Wednesday, but on Tuesdays. - As of September 1, 2022, this dataset is split into two parts. The first part contains the dates from the start of the pandemic to October 3, 2021 (week 39) and contains "tm" in the file name. This data will no longer be updated. The second part contains the data from October 4, 2021 (week 40) and is updated every Tuesday. Version 4 update (November 24, 2022): - From November 24, 2022, the age group 0-14 years will be split into age groups 0-4, 5-9 and 10-14 years. This will be retroactively updated for the entire pandemic. Version 5 update (April 4, 2023): - From April 4, 2023, this file will be updated weekly on Tuesdays. The data is retroactively updated for the other days. Date_of_report: Date and time on which the data file was created by RIVM. Date_of_statistics_week_start: The date of the Monday - first day of that week - for which the numbers per week are presented. Week of hospital admission (variable Hospital_admission), week of IC admission (variable IC_admission), the week on which the hospital admission (variable Hospital_admission_notification) or IC admission was reported (variable IC_admission_notification) to the NICE registry. Age_group: Age group in years of the admitted or reported patients. Intervals every five years are used with the exception of 90 years and above (90+). Patients with an unknown age are added to 'Unknown'. Hospital_admission_notification: The number of new COVID-19 patients admitted to the NICE registry per age group [Age_group] per week on which the hospital admission was reported [Date_of_statistics_week_start]. Hospital_admission: The number of new COVID-19 patients admitted to hospital per age group [Age_group] per hospital admission week [Date_of_statistics_week_start] reported to the NICE registry. IC_admission_notification: The number of new COVID-19 patients reported to the NICE registry who were admitted to the ICU per age group [Age_group] per week on which the ICU admission was reported [Date_of_statistics_week_start]. IC_admission: The number of new COVID-19 patients reported to the NICE registry who have been admitted to the ICU per age group [Age_group] per ICU admission week [Date_of_statistics_week_start]. A patient can be admitted to hospital or ICU multiple times (see version 2 update). RIVM and the NICE registry have aligned the method for determining the most relevant admission date in such cases as much as possible, but the numbers may differ slightly from the data as presented by the NICE registry. A patient admitted to the ICU also counts in the hospital admission figures. Despite the fact that hospitals are asked to register COVID-19 patients several times a day, the registration of the number of patients may lag. As a result, the numbers for the past calendar week may still be incomplete (https://www.stichting-nice.nl). Corrections made in reports in the source system of the NICE registration by employees of hospitals can also lead to corrections in this database. In that case, numbers published by RIVM in the past may deviate from the numbers in this database. At the time of creation and publication, this file therefore always contains the most up-to-date data according to the source system of the NICE registration after processing by RIVM. -------------------------------------------------- --------------------------------------------- Covid-19 hospital and intensive care unit (ICU) admissions in the Netherlands by age group by hospital and ICU admission week and reporting week (according to NICE registration) This file contains: - the number of COVID-19 hospital and ICU admissions by age group in the Netherlands, per week of hospitalization or ICU admission and per week on which the data were reported to the NICE registry (https://www.stichting-nice.nl). The numbers concern COVID-19 hospital and ICU admissions since the first report in the Netherlands (27/02/2020) up to and including the most recent complete week of admission. The registration of the number of COVID-19 hospital and ICU admissions may be lagging behind. This may result in the date of recording and the date of the report falling in a different calendar week. Hospital or ICU admissions from the most recent complete week of admission may have been reported in the current incomplete week and are therefore shown in this file. Hospital and ICU admissions from the most recent incomplete week are not included in this file but are censored with the value “NaN” (Not a Number). The file is structured as follows: - A record per week of statistics for the Netherlands, even if there are no recordings or reports on the week in question. The numbers are then 0 (zero). -The stated date for statistics may relate to a hospital or ICU admission date or the date on which the hospital reported a hospital or ICU admission to the NICE registry. Description of the variables: Version: version number of the dataset. When the content of the dataset is structurally changed (so not the daily update or a correction at record level), the version number will be adjusted (+1) and also the corresponding metadata in RIVMdata (Https://data.rivm.nl ). Version 2 update (August 9, 2022): - From August 9, 2022, new admissions of persons with a SARS-CoV-2 infection who were also admitted during a previous COVID-19 episode have been added to this open data file. For this reason, the number of withdrawals with retroactive effect is higher than in our previous files. The underestimation of admissions since the start of the pandemic to August 9, 2022 is less than 1%. A recording is counted as a new recording when a person with a SARS-CoV-2 infection has a recording date that is more than 90 days after the previous recording. Version 3 update (September 1, 2022): - From September 1, 2022, the data will no longer be updated every Wednesday, but on Tuesdays. - As of September 1, 2022, this dataset is split into two parts. The first part contains the dates from the start of the pandemic till October 3, 2021 (week 39) and contains "tm" in the file name. This data will no longer be updated. The second part contains the data from October 4, 2021 (week 40) and is updated every Tuesday. Version 4 update (November 24, 2022): - From November 24, 2022, the age group 0-14 years will be split into age groups 0-4, 5-9 and 10-14 years. This will be retroactively updated for the entire pandemic. Version 5 update (April 4, 2023): - From April 4, 2023, this file will be updated weekly on Tuesdays. The data has been retroactively updated for the other days. Date_of_report: Date and time on which the data file was created by the RIVM. Date_of_statistics_week_start: The date of the Monday - first day of that week - for which the numbers per week are presented. Week of hospital admission (variable Hospital_admission), week of ICU admission (variable IC_admission), the week on which the hospital admission (variable Hospital_admission_notification) or ICU admission was reported (variable IC_admission_notification) to the NICE registry. Age_group: Age group in years of the admitted or reported patients. Five-year intervals are used with the exception of 90 years and above (90+). Patients with an unknown age are added to 'Unknown'. Hospital_admission_notification: The number of new COVID-19 patients admitted to the NICE registry per age group [Age_group] per week on which the hospital admission was reported [Date_of_statistics_week_start]. Hospital_admission: The number of new COVID-19 patients admitted to hospital per age group [Age_group] per hospital admission week [Date_of_statistics_week_start] reported to the NICE registry. IC_admission_notification:
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TwitterStatistics on applications approved under “Admission Scheme for Mainland Talents and Professionals” provides relevant figures concerning applications approved under “Admission Scheme for Mainland Talents and Professionals”
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TwitterProspective full-time undergraduate students apply to Higher Education (HE) through the Universities and Colleges Admissions Service (UCAS) prior to the start of the academic year. UCAS publishes statistics on the number of applicants to full-time undergraduate courses, as well as the number of applicants who have been accepted. UCAS figures provide the first indication of trends in HE student numbers in a given academic year. Data is available from 1996/7 academic year of entry and covers the whole UK. The latest statistics can be found in the http://www.ucas.com/about_us/media_enquiries/media_releases">Media Release section of the UCAS website.
UCAS does not cover part-time undergraduate students, nor those who apply directly to institutions; application data on such students is not held centrally. Furthermore, some accepted applicants to HE choose not to take up their place, or may decide to defer their studies. Therefore in any given academic year, the UCAS accepted applicants group is not equivalent to the actual HE entrant population.
UCAS has facilitated some postgraduate applications via UKPASS (UK Postgraduate Application and Statistical Service) since 2007, and UCAS also handles applications to postgraduate teacher training courses. However many postgraduate students continue to apply directly to institutions so comprehensive information on all postgraduate applications is not held centrally. Further information about UKPASS is available at the http://www.ukpass.ac.uk/aboutus">UKPASS website.
When a prospective student applies for a place on a HE course, they can apply for financial support through the Student Loans Company (SLC). Information on the financial support available to HE students in England is available on the http://www.direct.gov.uk/en/EducationAndLearning/UniversityAndHigherEducation/StudentFinance/index.htm">DirectGov website.
Each year, Student Finance England (SLC’s England operations) publishes Official Statistics on student finance applications and payment processing at intervals between the first application deadline (31 May) up to the start of university term-time (around October). These statistics have been published since the 2009/10 academic year, in response to increased levels of public interest in SLC’s progress with support payments, and cover England. Links to these statistics can be found on the http://www.bis.gov.uk/analysis/statistics/higher-education/official-statistics-releases/student-support-applications">Student Support Applications page.
The SLC annually publishes National Statistics on Student Support Awards (loan rates, loan take-up, grants awarded etc) in November. This release has been published since the 2004/05 academic year for England. A link to these statistics can be found on the http://www.bis.gov.uk/analysis/statistics/higher-education/national-statistics-releases/student-support-for-higher-education">Student Support page.
SLC also publishes equivalent National Statistics on http://www.slc.co.uk/statistics/official-statistics-archive.aspx">Student Support Awards for Wales and Northern Ireland.
The Higher Education Funding Council for England (HEFCE) collects and publishes information on students in the current academic year, from the Higher Education Students Early Statistics (HESES) and Higher Education in Further Education: Students Survey (HEIFES). These are the first comprehensive set of statistics on student numbers to appear in the public domain based on the <abbr title="Higher
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TwitterThe number of admissions has increased year-on-year from 2000 to 2020. Due to the COVID-19 pandemic, hospital admission dropped in 2020/21. In 2024/25 there were around **** million admissions* to NHS hospitals in England, showing that admission numbers have reached and exceeded pre-pandemic levels. Of these, *** million were emergency admissions.
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This is a report on admitted patient care activity in English NHS hospitals and English NHS-commissioned activity in the independent sector. This annual publication covers the financial year ending March 2020. It contains final data and replaces the provisional data that are released each month. The data are taken from the Hospital Episodes Statistics (HES) data warehouse. HES contains records of all admissions, appointments and attendances for patients at NHS hospitals in England. The HES data used in this publication are called 'Finished Consultant Episodes', and each episode relates to a period of care for a patient under a single consultant at a single hospital. Therefore this report counts the number of episodes of care for admitted patients rather than the number of patients. This publication shows the number of episodes during the period, with a number of breakdowns including by patient's age, gender, diagnosis, procedure involved and by provider. Hospital Adult Critical Care (ACC) data are now included within this report, following the discontinuation of the 'Hospital Adult Critical Care Activity' publication. The ACC data tables are not a designated National Statistic and they remain separate from the APC data tables. The ACC data used in this publication draws on records submitted by providers as an attachment to the admitted patient care record. These data show the number of adult critical care records during the period, with a number of breakdowns including admission details, discharge details, patient demographics and clinical information. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This document will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Supplementary analysis has been produced, by NHS Digital, containing experimental statistics using the Paediatric Critical Care Minimum Data Set (PCCMDS) data, collected by NHS Digital, against activity published in NHS Reference Costs. This analysis seeks to assist users of the data in understanding the data quality of reported paediatric critical care data. Also included within this release, is supplementary analysis that has been produced in addition to the Retrospective Review of Surgery for Urogynaecological Prolapse and Stress Urinary Incontinence using Tape or Mesh: Hospital Episode Statistics (HES), Experimental Statistics, April 2008 - March 2017. It contains a count of Finished Consultant Episodes (FCEs) where a procedure for urogynaecological prolapse or stress urinary incontinence using tape or mesh has been recorded during the April 2019 to March 2020 period.
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This publication reports on Admitted Patient Care activity in England for the financial year 2024-25 This report includes but is not limited to analysis of hospital episodes by patient demographics, diagnoses, external causes/injuries, operations, bed days, admission method, time waited, specialty, provider level analysis and Adult Critical Care (ACC). It describes NHS Admitted Patient Care Activity, Adult Critical Care activity and performance in hospitals in England. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care and may also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. The data source for this publication is Hospital Episode Statistics (HES). It contains final data and replaces the provisional data that are released each month. HES contains records of all admissions, appointments and attendances at NHS-commissioned hospital services in England. The HES data used in this publication are called 'Finished Consultant Episodes', and each episode relates to a period of care for a patient under a single consultant at a single hospital. Therefore, this report counts the number of episodes of care for admitted patients rather than the number of patients. This publication shows the number of episodes during the period, with breakdowns including by patient's age, gender, diagnosis, procedure involved and by provider. Please send queries or feedback via email to enquiries@nhsdigital.nhs.uk. Author: Secondary Care Open Data and Publications, NHS England. Lead Analyst: Karl Eichler
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The data shows the year wise and state and union territory-wise number of Number of Colleges includes UG, PG (after UG courses) and Exclusive PG Ayush Colleges and their admission capacity or seats. The data is given by branch of AYUSH. Note: 1. Data as on 1st April for most years. Reference date is given in the note column. 2. Data is not available for 2020
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This dataset shows school admissions, number of places offered for a given intake year at each school at annual National Offer Day (01 March - Secondary, and 16 April - Primary/Junior - these dates may vary slightly if occuring on a weekend). The dataset shows: the total number of school places offered by preference (1 to 4) for each school the school's Pupil Admission Number (PAN), the maximum number of places available at the school for the intake year the total number of remaining free places, which is school places left after National Offer Day (that is, the school's PAN minus the total number of offers). This data is updated annually. Data source: Lincolnshire County Council School Admissions. For any enquiries about this publication contact schooladmissions@lincolnshire.gov.uk .
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TwitterA curated dataset of Ivy League admissions metrics by class year and institution, including overall acceptance rate, Regular Decision acceptance rate, Early Decision/Action acceptance rate, % of class filled by early applicants, and application volumes.