There 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.

You can download the data and statistics for school admission year 2023/2024

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

Finland'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.

As 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.

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. 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: 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 hospitalized or admitted to 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: The

Number of admitted applicants in public and private universities in Tanzania

This publication reports on Admitted Patient Care activity in England for the financial year 2023-24. 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

This dataset shows the number of enrolled students at the Doha Institute for Graduate Studies by age group and cohort year. The data helps analyze age distribution trends in graduate admissions.

In 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.

Bradford school dataset. This dataset includes

• The information relates to school fines for the academic years 2015-16 and 2016-17.

• Primary School Admission Arrangements - The dataset on page 18 of the 'Guide for Parents about Admission Arrangements to Primary School 2017-2018'. This includes information about the school type, nursery (number per session), applications numbers for the year 2017 and the admission numbers for 2018.

• Secondary School Admission Arrangements - The dataset on page 17 of the 'Guide for Parents about Admission Arrangements to Secondary School 2018-2019'. This includes information regarding the school type, the application numbers for the year 2017 and admission number for 2018.

• Information for the years 2014-2024, relating to schools under local authority control for 10 months or longer, before transferring to academy trusts.

• Key contact information for schools in Bradford.

More Information

Link to school attendance and absence

In 2022, there were approximately 107,700 students with American Indian or Alaskan Native heritage enrolled at a university in the United States. This is a slight increase from the previous year, when there were 106,600 students with American Indian or Alaska Native heritage enrolled in postsecondary education.

Mexico Migration Statistics (MS): Number of Admissions data was reported at 46,286,424.000 Person in 2024. This records an increase from the previous number of 43,923,184.000 Person for 2023. Mexico Migration Statistics (MS): Number of Admissions data is updated yearly, averaging 23,482,081.500 Person from Dec 1989 (Median) to 2024, with 36 observations. The data reached an all-time high of 46,286,424.000 Person in 2024 and a record low of 7,334,632.000 Person in 1992. Mexico Migration Statistics (MS): Number of Admissions data remains active status in CEIC and is reported by Ministry of Interior. The data is categorized under Global Database’s Mexico – Table MX.G012: Migration Statistics: Number of Admissions: Annual.

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 .

Mexico Migration Statistics: No. of Admissions: Quintana Roo data was reported at 18,540,761.000 Person in 2024. This records an increase from the previous number of 17,828,779.000 Person for 2023. Mexico Migration Statistics: No. of Admissions: Quintana Roo data is updated yearly, averaging 10,004,699.000 Person from Dec 2002 (Median) to 2024, with 23 observations. The data reached an all-time high of 18,540,761.000 Person in 2024 and a record low of 5,482,908.000 Person in 2020. Mexico Migration Statistics: No. of Admissions: Quintana Roo data remains active status in CEIC and is reported by Ministry of Interior. The data is categorized under Global Database’s Mexico – Table MX.G012: Migration Statistics: Number of Admissions: Annual.

Admissions in Ministry of Health hospitals according to health insurance categories for the year 2021

AICTE-approved colleges all throughout India provided the data for the academic years 2013–2021 (India's state–by–state admission and placement statistics). The course name, state, year, institution type, enrollment, placement, and graduation rates were among the twelve variables taken into account. After handling missing values, there were between 1700 and 2000 samples in the raw data set. Two indicators for prospective enrolment and placement levels in the upcoming school year were created by algorithms.. statistics on AICTE-approved colleges in Gujarat for management, engineering, and technology programs was gathered from 2015 to 2021 (Gujarat district-level statistics for admission and placement). Eight factors, including admissions and placements for both public and private colleges in each area, were included in the data. Two predictors for possible enrolment and placement levels for the following year were generated using algorithms. A group-by-group study of the original data set's 5000–5500 samples resulted in a reduction of 1700–1000 samples. To predict enrollment and placement for certain districts, courses, and branches, the data may be used. statistics on government-approved startup firms in India were gathered (State-wise statistics for new startup companies) between 2016 and 2022, taking into account seven factors. A group-by-group study of the number of firms in each state and year decreased the data set's approximately 55,124 raw samples to an estimated 133,697. When projecting future company growth, the output offered information on the number of enterprises that had been founded in a certain industry and state. Data on particular student information, including names, enrolment, and areas like engineering, technology, and textiles, were gathered from LD Institute and are included in the set of data for the institutional study. The appropriate company of placement and the graduation year were included in the data set.

Singapore Hospital Admissions: Total data was reported at 47,639.000 Number in Sep 2018. This records a decrease from the previous number of 49,048.000 Number for Aug 2018. Singapore Hospital Admissions: Total data is updated monthly, averaging 32,545.000 Number from Jan 1987 (Median) to Sep 2018, with 381 observations. The data reached an all-time high of 50,497.000 Number in Mar 2018 and a record low of 23,041.000 Number in Jan 1987. Singapore Hospital Admissions: Total data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G075: Health Statistics.