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.

Context

This dataset contains the US News rankings of the best American universities of undergraduate programs. This is how US News ranks the colleges: "We calculated 10 distinct overall rankings where colleges and universities were grouped by their academic missions. For each ranking, the sum of weighted, normalized values across 17 indicators of academic quality determine each school's overall score and, by extension, its overall rank. The top performer(s) in each ranking displays an overall score of 100. Others' overall scores are on a 0-99 scale reflecting the distance from their ranking's top-performing school(s). Those placing outside the top 75% display their ranking's bottom quartile range (e.g., No. 90-120) instead of their individual ranks (e.g., No. 102)."

Content

This dataset contains the rankings of 392 American universities based on their undergraduate programs. It also contains the tuitions and enrollment numbers of each university. 2 colleges don't have tuition data, so it is labelled -1.

Acknowledgements

We acknowledge US News for providing these rankings.

Inspiration

As a high schooler applying to undergraduate programs in America, it would be useful to know which colleges are best, and to compare tuitions and enrollment numbers.

Overview

This dataset contains detailed information about university students in the United States. It aims to provide demographic and academic data useful for analyzing educational trends, student performance, and the impact of various factors on academic achievement.

Dataset Contents

1.Student_ID: Unique identifier for each student

2.Name: Student's name

1. Age: Age of the student (approximately 18-25 years)

2. Gender: Gender of the student (Male or Female)

3. State: U.S. state where the student is enrolled

4. GPA: Grade Point Average (0.0 to 4.0)

5. Major: Student’s field of study

6. Enrollment_Year: Year the student enrolled in the university

Data Source

• This dataset is synthetically generated for educational and analytical purposes.
• It does not represent real individuals but simulates typical distributions and diversity of students in U.S. universities.

Potential Uses

-- Analyzing academic performance based on age, gender, or major.

-- Studying geographic distribution of students across different states.

-- Building classification or predictive models, such as predicting GPA based on other factors.

-- Exploring academic trends and the effect of demographic variables on student achievement.

-- Practicing data cleaning, exploratory data analysis, and visualization skills.

Important Notes

-- All data is synthetic and for training purposes only.

-- This dataset should not be used for commercial purposes without real and authorized data.

-- The dataset can be updated or modified to better fit specific research or project goals.

The rankings include the Integrated Postsecondary Education Data System’s ID numbers, making it possible to easily merge them with any of IPEDS’ datasets.

Since 1983, the magazine U.S. News and World Report has been ranking US universities and colleges. While I do not in anyway endorse the specific methodology used to construct these rankings, I know that many academic institutions and scholars use these rankings in their research and institutional assessment. I was in turn frustrated that historical rankings were not easily available anywhere online. The spreadsheets above contain all of the rankings from 1985-present for liberal arts colleges and from 1984-present for universities.

The data for liberal arts colleges were compiled from the actual articles releasing the data each year (any errors in entry are my own). I have included tiers for many years for the liberal arts college rankings, but most were only available online and not in print editions. The second tab lists the information that is still missing. If anyone has any of that information please contact me, I would like to fill in all of the gaps.

The data for universities is incomplete, with some years containing only the top 50 universities and others 150. They were compiled with the help of Akil Bello and Arjun Khandelwal from existing online sources. The second tab of each spreadsheet includes specific notes on the rankings for each year and sources. If anyone has any of the missing data, please contact me, I would like to fill in all of the gaps. Thanks to Melissa Whately for help with the IPEDS numbers.

Andrew G. Reiter, “U.S. News & World Report Historical Liberal Arts College and University Rankings,” available at: http://andyreiter.com/datasets/

This dataset provides information about 2007 Endowment figures across Colleges and Universities in the World (mainly in the United States). The Study was conducted by NACUBO. Results are also listed for 2006 and percentage change has also been listed between the two years. Locations are mapped by the lat/lon coordinates of the institution. More information on the study can be found at http://www.nacubo.org/ The National Endowment Study is the largest and longest running annual survey studying the endowment holdings of higher education institutions and their foundations. Information is collected and calculated on behalf of NACUBO by TIAA-CREF. Seven hundred and eighty-five (785) institutions in the United States and Canada participated in the 2007 NES, which is the largest number in the 35-year history of the study and the seventh consecutive year of record-breaking participation since NACUBO began its partnership with TIAA-CREF in 2000. NACUBO, (National Association of College and University Business Officers) founded in 1962, is a nonprofit professional organization representing chief administrative and financial officers at more than 2,100 colleges and universities across the country. NACUBOs mission is to promote sound management and financial practices at colleges and universities. Data was accessed on 1/23/2008 http://www.nacubo.org/Images/All%20Institutions%20Listed%20by%20FY%202007%20Market%20Value%20of%20Endowment%20Assets_2007%20NES.pdf

School enrollment data are used to assess the socioeconomic condition of school-age children. Government agencies also require these data for funding allocations and program planning and implementation.

Data on school enrollment and grade or level attending were derived from answers to Question 10 in the 2015 American Community Survey (ACS). People were classified as enrolled in school if they were attending a public or private school or college at any time during the 3 months prior to the time of interview. The question included instructions to “include only nursery or preschool, kindergarten, elementary school, home school, and schooling which leads to a high school diploma, or a college degree.” Respondents who did not answer the enrollment question were assigned the enrollment status and type of school of a person with the same age, sex, race, and Hispanic or Latino origin whose residence was in the same or nearby area.

School enrollment is only recorded if the schooling advances a person toward an elementary school certificate, a high school diploma, or a college, university, or professional school (such as law or medicine) degree. Tutoring or correspondence schools are included if credit can be obtained from a public or private school or college. People enrolled in “vocational, technical, or business school” such as post secondary vocational, trade, hospital school, and on job training were not reported as enrolled in school. Field interviewers were instructed to classify individuals who were home schooled as enrolled in private school. The guide sent out with the mail questionnaire includes instructions for how to classify home schoolers.

Enrolled in Public and Private School – Includes people who attended school in the reference period and indicated they were enrolled by marking one of the questionnaire categories for “public school, public college,” or “private school, private college, home school.” The instruction guide defines a public school as “any school or college controlled and supported primarily by a local, county, state, or federal government.” Private schools are defined as schools supported and controlled primarily by religious organizations or other private groups. Home schools are defined as “parental-guided education outside of public or private school for grades 1-12.” Respondents who marked both the “public” and “private” boxes are edited to the first entry, “public.”

Grade in Which Enrolled – From 1999-2007, in the ACS, people reported to be enrolled in “public school, public college” or “private school, private college” were classified by grade or level according to responses to Question 10b, “What grade or level was this person attending?” Seven levels were identified: “nursery school, preschool;” “kindergarten;” elementary “grade 1 to grade 4” or “grade 5 to grade 8;” high school “grade 9 to grade 12;” “college undergraduate years (freshman to senior);” and “graduate or professional school (for example: medical, dental, or law school).”

In 2008, the school enrollment questions had several changes. “Home school” was explicitly included in the “private school, private college” category. For question 10b the categories changed to the following “Nursery school, preschool,” “Kindergarten,” “Grade 1 through grade 12,” “College undergraduate years (freshman to senior),” “Graduate or professional school beyond a bachelor’s degree (for example: MA or PhD program, or medical or law school).” The survey question allowed a write-in for the grades enrolled from 1-12.

Question/Concept History – Since 1999, the ACS enrollment status question (Question 10a) refers to “regular school or college,” while the 1996-1998 ACS did not restrict reporting to “regular” school, and contained an additional category for the “vocational, technical or business school.” The 1996-1998 ACS used the educational attainment question to estimate level of enrollment for those reported to be enrolled in school, and had a single year write-in for the attainment of grades 1 through 11. Grade levels estimated using the attainment question were not consistent with other estimates, so a new question specifically asking grade or level of enrollment was added starting with the 1999 ACS questionnaire.

Limitation of the Data – Beginning in 2006, the population universe in the ACS includes people living in group quarters. Data users may see slight differences in levels of school enrollment in any given geographic area due to the inclusion of this population. The extent of this difference, if any, depends on the type of group quarters present and whether the group quarters population makes up a large proportion of the total population. For example, in areas that are home to several colleges and universities, the percent of individuals 18 to 24 who were enrolled in college or graduate school would increase, as people living in college dormitories are now included in the universe.

National Universities Rankings

Analyze 1,800 U.S. Universities and their Academic Performance

By Education [source]

About this dataset

Welcome to the U.S. News & World Report's 2017 National Universities Rankings, a comprehensive dataset of over 1,800 schools across the United States providing quality data on admissions criteria, cost of tuition and fees, enrollment numbers, and overall rankings! Here you'll find up-to-date information on institutes of higher learning from Princeton University at the top spot in Best National Universities to Williams College at No. 1 on the Best National Liberal Arts Colleges list.

This collection of data is all that's needed for potential students - parents, counselors and more - to evaluate their choices in selecting a college or university that perfectly meets their needs. For instance: what is the total tuition & fees cost? What are student enrollment numbers? How have students rated this school? Which universities have been recognized as top institutions in academics by U.S. News & World Report? What admissions criteria do these schools evaluate when considering an applicant's profile? The answers lie within this dataset!

Explore each category separately as well as with other considerations through visuals like our scatter plot to get an inside look into collegiate education from enrollment patterns charted against yearly expenses including room & board charges without forgetting several crucial factors such as six-year graduation rates and freshman retention rates measured among nations' universities included here -allowing for comparison and assessment beforehand for a well-rounded experience such that you can find your own path ahead!

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How to use the dataset

This dataset contains information on the quality, tuition, and enrollment data of 1,800 U.S.-based universities ranked by U.S. News & World Report from 2017. It includes rankings from the National University and Liberal Arts College lists in addition to relevant data points like tuition fees and undergraduate enrollments for each school.

Users can take advantage of this dataset to build models that predict ranking or predicting cost-benefit results for students by using cost-related (tuition) metrics along with quality metrics (rankings). Alternatively users can use it to analyze trends between investments in higher education versus outcomes (ranking), or explore the relationship between enrollments for schools of varying rank tiers, etc...

For more information on how rankings are calculated please refer to this methodology explainer on U.S news website

Here is an overview of all columns included in this dataset:

Columns:Name - institution name,Location - City and state where located,Rank - Ranking according to U.S News & World Report ,Description - Snippet of text overview from U.S News ,Tuition and fees – Combined tuition and fees for out–of–state students ,In–state – Tuition and fees for in–state students ,Undergraduate Enrollment – Number of enrolled undergraduate students .

Using this column detail as a guide we can answer questions like ‘which colleges give highest ROI ?’ or ‘Which college has highest number undergraduates?’ . For statistical analysis such as correlation we may use a visual representation such as a scatter plots or bar graphs accordingly making it easier analyses trends found within our dataset ans well as exploring any relationships between different factors such us tuitions vs ranks

Research Ideas

• Developing a searchable database to help high school students identify colleges that match their criteria in terms of tuition, graduation rate, location, and rank.
• Identifying correlations between enrollment numbers and university rank in order to better understand how the number of enrolled students effects the overall ranking of a university.
• Comparing universities with similar rankings in order to highlight differences between programs’ tuition and fees as well as retention rates

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, ...

This dataset shows the locations of Equestrian education programs at the college level for the state of Illinois.

Context

Most recent rankings of America's top 150 universities, scrapped from Niche.com

Content

Institution - Name of School AR - Acceptance Rate of School Location - City, State Price - Average Cost After Financial Aid SAT - 25th to 75th percentile score on SAT for accepted students

Acknowledgements

Niche.com

Group quarter is not a typical household-type living arrangement. People living in group quarters are usually not related to each other. Group quarters include such places as college residence halls, residential treatment centers, skilled nursing facilities, group homes, military barracks, correctional facilities, and workers' dormitories. Services in group quarters may include food, custodial or medical care as well as other types of assistance, and residency is commonly restricted to those receiving these services.There are generally two type of group quarters facilities. Institutional group quarters house people who are primarily ineligible, unable, or unlikely to participate in the labor force while residents. Non-institutional group quarters house people who are primarily eligible, able, or likely to participate in the labor force while residents.Included group quarters types and statusThe following group quarter facility types are or will be included in the Tennessee Group Quarters GIS dataset:Correctional facilitiesThese include state and federal detention centers and prisons. Locals jails operated by counties and several cities in the state. Some residential correctional facilities called "Workhouses" that are inspected by the Tennessee Department of Correction are includedStatus: All federal and state prisons and jails inspected by TDOC are included.Data sources: Homeland Infrastructure Foundation-Level Data Prison Boundaries, Tennessee Department of Correction Bed Space Capacity Reports and Jail Summary ReportsCapacity: HILFD and TDOC reports from July, 2018Population: No data has been compiledJuvenile facilitiesIncludes correctional facilities, non-correctional group homes and residential treatment facilitiesStatus: IN PROGRESS. Some juvenile correction and residential treatment facilities were included in HILFLD. A more comprehensive review of TN Department of Children Services data will be conducted.Data sources: Homeland Infrastructure Foundation-Level Data Prison BoundariesCapacity:Population:Nursing Facility/Skilled-nursing facilityNursing homes and assisted living facilities Including those licensed to provide medical care with seven-day, 24-hour coverage for people requiring long-term non acute care.Status: Not startedData sources:Capacity:Population:Other Institutional FacilitiesThis includes an assortment of psychiatric hospitals, hospices and schools for people with disabilities.Status: Not startedData sources:Capacity:Population:College/University Student HousingCollege/University student such as dormitories, fraternities and sororitiesStatus: IN PROGRESSData sources: Various university websites and building inventories will be leveraged to build this dataset with geocoded address locationsCapacity:Population:Other Noninstitutional FacilitiesStatus: NOT STARTEDData sources:Capacity:Population:Database backgroundThis database was compiled to serve a variety of US Census Bureau operations in the State of Tennessee. The data will primarily serve the State Data Center's annual contribution to the Federal State Cooperative for Population Estimates (FSCPE) data which support the Bureau's annual Population and Housing Unit Estimate release. Data will be reviewed and updated annually to support these operations. The data will also be provided used to support Count Review and Group Quarters Frame Update for the 2020 decennial census.

Background and Objective: Every year thousands of applications are being submitted by international students for admission in colleges of the USA. It becomes an iterative task for the Education Department to know the total number of applications received and then compare that data with the total number of applications successfully accepted and visas processed. Hence to make the entire process easy, the education department in the US analyze the factors that influence the admission of a student into colleges. The objective of this exercise is to analyse the same.

Domain: Education

Dataset Description:

Attribute Description GRE Graduate Record Exam Scores GPA Grade Point Average Rank It refers to the prestige of the undergraduate institution. The variable rank takes on the values 1 through 4. Institutions with a rank of 1 have the highest prestige, while those with a rank of 4 have the lowest. Admit It is a response variable; admit/don’t admit is a binary variable where 1 indicates that student is admitted and 0 indicates that student is not admitted. SES SES refers to socioeconomic status: 1 - low, 2 - medium, 3 - high. Gender_male Gender_male (0, 1) = 0 -> Female, 1 -> Male Race Race – 1, 2, and 3 represent Hispanic, Asian, and African-Americ

DESCRIPTION

Johns Hopkins' county-level COVID-19 case and death data, paired with population and rates per 100,000

SUMMARY Updates April 9, 2020 The population estimate data for New York County, NY has been updated to include all five New York City counties (Kings County, Queens County, Bronx County, Richmond County and New York County). This has been done to match the Johns Hopkins COVID-19 data, which aggregates counts for the five New York City counties to New York County. April 20, 2020 Johns Hopkins death totals in the US now include confirmed and probable deaths in accordance with CDC guidelines as of April 14. One significant result of this change was an increase of more than 3,700 deaths in the New York City count. This change will likely result in increases for death counts elsewhere as well. The AP does not alter the Johns Hopkins source data, so probable deaths are included in this dataset as well. April 29, 2020 The AP is now providing timeseries data for counts of COVID-19 cases and deaths. The raw counts are provided here unaltered, along with a population column with Census ACS-5 estimates and calculated daily case and death rates per 100,000 people. Please read the updated caveats section for more information.

Overview The AP is using data collected by the Johns Hopkins University Center for Systems Science and Engineering as our source for outbreak caseloads and death counts for the United States and globally.

The Hopkins data is available at the county level in the United States. The AP has paired this data with population figures and county rural/urban designations, and has calculated caseload and death rates per 100,000 people. Be aware that caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.

This data is from the Hopkins dashboard that is updated regularly throughout the day. Like all organizations dealing with data, Hopkins is constantly refining and cleaning up their feed, so there may be brief moments where data does not appear correctly. At this link, you’ll find the Hopkins daily data reports, and a clean version of their feed.

The AP is updating this dataset hourly at 45 minutes past the hour.

To learn more about AP's data journalism capabilities for publishers, corporations and financial institutions, go here or email kromano@ap.org.

Queries Use AP's queries to filter the data or to join to other datasets we've made available to help cover the coronavirus pandemic

Filter cases by state here

Rank states by their status as current hotspots. Calculates the 7-day rolling average of new cases per capita in each state: https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker/workspace/query?queryid=481e82a4-1b2f-41c2-9ea1-d91aa4b3b1ac

Find recent hotspots within your state by running a query to calculate the 7-day rolling average of new cases by capita in each county: https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker/workspace/query?queryid=b566f1db-3231-40fe-8099-311909b7b687&showTemplatePreview=true

Join county-level case data to an earlier dataset released by AP on local hospital capacity here. To find out more about the hospital capacity dataset, see the full details.

Pull the 100 counties with the highest per-capita confirmed cases here

Rank all the counties by the highest per-capita rate of new cases in the past 7 days here. Be aware that because this ranks per-capita caseloads, very small counties may rise to the very top, so take into account raw caseload figures as well.

Interactive Embed Code

Caveats This data represents the number of cases and deaths reported by each state and has been collected by Johns Hopkins from a number of sources cited on their website. In some cases, deaths or cases of people who've crossed state lines -- either to receive treatment or because they became sick and couldn't return home while traveling -- are reported in a state they aren't currently in, because of state reporting rules. In some states, there are a number of cases not assigned to a specific county -- for those cases, the county name is "unassigned to a single county" This data should be credited to Johns Hopkins University's COVID-19 tracking project. The AP is simply making it available here for ease of use for reporters and members. Caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates. Population estimates at the county level are drawn from 2014-18 5-year estimates from the American Community Survey. The Urban/Rural classification scheme is from the Center for Disease Control and Preventions's National Center for Health Statistics. It puts each county into one of six categories --...

This dataset explores the Statistics Canada data from the 2001 Census of earnings by highest level of education completed. Average earnings of the population 15 years and over by highest level of schooling, by province and territory (2001 Census) Definitions Highest level of schooling: Refers to the highest grade or year of elementary or secondary (high) school attended, or to the highest year of university or other non-university education completed. University education is considered to be a higher level of schooling than other non-university education. Also, the attainment of a degree, certificate or diploma is considered to be at a higher level than years completed or attended without an educational qualification. Earnings (employment income): Refers to total income received by persons 15 years of age and over during calendar year 2000 as wages and salaries, net income from a non-farm unincorporated business and/or professional practice, and/or net farm self-employment income. High school graduation certificate and/or some postsecondary: Includes persons who have attended courses at postsecondary institutions and who may or may not have a high school graduation certificate. Excludes persons with a postsecondary certificate, diploma or degree. Since 1981, "postsecondary" refers to years of schooling completed at university or at institutions other than a university, a secondary (high) school or an elementary school. Examples of postsecondary institutions include community colleges, institutes of technology, CEGEPs, private trade schools, private business colleges and schools of nursing.

This dataset explores Farm operators by education, by province (2001 Censuses of Agriculture and Population) for persons who's primary occupation is agriculture. This dataset breaks the data down by gender as well. 1. Refers to the highest grade or year of elementary or secondary (high) school attended, or to the highest university degree completed or college or trade diploma or certificate completed. 2. Includes completed postsecondary education, trades certificate or diploma, and college certificate or diploma. Source: Statistics Canada, Censuses of Agriculture and Population. Last modified: 2004-09-29.