This statistic provides a ranking of universities in the United States in 2015, by their number of Hispanic Master's degree graduates. In 2015, Florida International University conferred ***** Master's degrees to Hispanic students.

The Institutional Data Archive on American Higher Education (IDA) contains academic data on 384 four-year colleges and universities in the United States. The IDA is one of two databases produced by the Colleges and Universities 2000 project based at the University of California, Riverside. This release, the third compilation of the IDA, is updated through academic year 2010-2011, and includes longitudinal and cross-sectional data from multiple sources. The collection is organized into nine datasets based on the unit of analysis and whether identifiers linking the data to particular institutions are present; seven of the datasets can be linked by a common identifier variable (PROJ_ID), and two cannot be linked due to confidentiality agreements. The seven identifiable datasets contain information on institutions, university systems, programs and academic departments, earned degrees, graduate schools, medical schools, and institutional academic rankings over time. Data regarding student enrollments, average SAT and ACT scores, and tuition and fees has been recorded, as well as institutional information concerning libraries, research activity, revenue and expenditures, faculty salaries, and quality rankings for program faculty. The identifiable datasets also include census information for neighborhoods surrounding IDA colleges and universities. The two non-identifiable datasets contain confidential survey responses from IDA institution presidents, chancellors, provosts, and academic vice presidents; survey questions pertained to governance structures, institutional goals and achievements, and solicited opinions on current and future issues facing the respondent's institution and higher education in general.

This statistic shows the leading universities worldwide with the highest scores on the Global University Employability Ranking index for 2018. In 2018, the university from which graduates were the most employable was Harvard University, with an index score of *****.

National Center for Education Statistics. Public Elementary/Secondary School Summary (CCD): School Count - Regular Schools, 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-002-002 Dataset: A public elementary/secondary school providing instruction and education services that does not focus primarily on special education, vocational/technical education, or alternative education, or on any of the particular themes associated with magnet/special program emphasis schools. Data are from the Common Core of Data (CCD), a program of the U.S. Department of Education's National Center for Education Statistics that annually collects fiscal and non-fiscal data about all public schools, public school districts and state education agencies in the United States. The data are supplied by state education agency officials. http://nces.ed.gov/ccd/ccddata.asp Category: Education Subject: Secondary Schools, Junior High Schools, High Schools, Public Schools, Elementary Schools Source: National Center for Education Statistics The National Center for Education Statistics (NCES) is the primary federal entity in the United States for collecting and analyzing data related to education in the US and other nations. NCES is located within the US Department of Education and the Institute of Education Sciences. The NCES fulfills a congressional mandate to collect, collate, analyze, and report complete statistics on the condition of US education; conduct and publish reports; and review and report on education activities internationally. The NCES is one of four centers (along with the National Center for Education Research, the National Center for Education Evaluation and Regional Assistance, and the National Center for Special Education Research) charged with carrying out the work of the Institute of Education Sciences. http://nces.ed.gov/National Center for Education Statistics. Public Elementary/Secondary School Summary (CCD): School Count - Charter School, 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-002-020 Dataset: A school providing free public elementary and/or secondary education to eligible students under a specific charter granted by the state legislature or other appropriate authority, and designated by such authority to be a charter school. Data are from the Common Core of Data (CCD), a program of the U.S. Department of Education's National Center for Education Statistics that annually collects fiscal and non-fiscal data about all public schools, public school districts and state education agencies in the United States. The data are supplied by state education agency officials. http://nces.ed.gov/ccd/ccddata.asp Category: Education Subject: Secondary Schools, Junior High Schools, High Schools, Elementary Schools, School Choice, Charter Schools Source: National Center for Education Statistics The National Center for Education Statistics (NCES) is the primary federal entity in the United States for collecting and analyzing data related to education in the US and other nations. NCES is located within the US Department of Education and the Institute of Education Sciences. The NCES fulfills a congressional mandate to collect, collate, analyze, and report complete statistics on the condition of US education; conduct and publish reports; and review and report on education activities internationally. The NCES is one of four centers (along with the National Center for Education Research, the National Center for Education Evaluation and Regional Assistance, and the National Center for Special Education Research) charged with carrying out the work of the Institute of Education Sciences. http://nces.ed.gov/

In this article, we discuss possibilities for ranking business schools and analyse the stability of research rankings using different ranking methods. One focus is set on a comparison of publication-based rankings with citation-based rankings. Our considerations and discussions are based on a (small) case study for which we have examined all (six) business schools at public universities in Austria. The innovative aspect of our article is the chosen mix of methods and the explicit comparison of the results of a publication analysis with those of a citation analysis. In addition, we have developed a new indicator to check the stability of the obtained ranking results with regard to the individual business schools. The results show that the ranks of the individual business schools are quite stable. Nevertheless, we found some differences between publication-based and citation-based rankings. In both cases, however, the choice of the data source as well as switching from full to adjusted counting only have little impact on the ranking results. The main contribution of our approach to research in the field of university rankings is that it shows that focusing on a single (overall) indicator should be avoided, as this can easily lead to bias. Instead, different (partial) indicators should be calculated side by side to provide a more complete picture.

Data on the top universities for Computer Science in 2025.

Universities and higher education institutions form an integral part of the national infrastructure and prestige. As academic research benefits increasingly from international exchange and cooperation, many universities have increased investment in improving and enabling their global connectivity. Yet, the relationship of university performance and its global physical connectedness has not been explored in detail. We conduct the first large-scale data-driven analysis into whether there is a correlation between university relative ranking performance and its global connectivity via the air transport network. The results show that local access to global hubs (as measured by air transport network betweenness) strongly and positively correlates with the ranking growth (statistical significance in different models ranges between 5% and 1% level). We also showed that the local airport's aggregate flight paths (degree) and capacity (weighted degree) has no effect on university ranking, further...

Business school rankings based on number of publications.

The dataset contains ranking-and-academic-year-, state-, and university/institute-wise compiled data on the total number of admitted, graduated and placed students of post and graduate students, along with additional details such as number of first year students intaken, number of admitted students through lateral entry, number of students selected for higher studies and median salary of students selected for placements, etc., as per the National Institutional Ranking Framework (NIRF) data

Data on the top universities for Education Studies in 2025.

's Number of universities and graduate schools is 14[number of schools] which is the 15th highest in Japan (by Prefecture). Transition Graphs and Comparison chart between Ishikawa and Oita(Oita) and Miyazaki(Miyazaki)(Closest Prefecture in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

In 2022, Canada had the highest share of adults with a university degree, at over 60 percent of those between the ages of 25 and 64. India had the smallest share of people with a university degree, at 13 percent of the adult population. University around the world Deciding which university to attend can be a difficult decision for some and in today’s world, people are not left wanting for choice. There are thousands of universities around the world, with the highest number found in India and Indonesia. When picking which school to attend, some look to university rankings, where Harvard University in the United States consistently comes in on top. Moving on up One of the major perks of attending university is that it enables people to move up in the world. Getting a good education is generally seen as a giant step along the path to success and opens up doors for future employment. Future earnings potential can be determined by which university one attends, whether by the prestige of the university or the connections that have been made there. For instance, graduates from the Stanford Graduate School of Business can expect to earn around 250,000 U.S. dollars annually.

Business school rankings based on average citation count.

2018 DC School Report Card. The sum of the student group scores using all applicable STAR framework metrics. This is a number from 0 – 100 points. Overall STAR score for the school based on all applicable framework scores and student groups. Star value assigned to the school based on the STAR score.1, 2, 3, 4, or 5. Supplemental:Metric scores are not reported for n-sizes less than 10; metrics that have an n-size less than 10 are not included in calculation of STAR scores and ratings.At the state level, teacher data is reported on the DC School Report Card for all schools, high-poverty schools, and low-poverty schools. The definition for high-poverty and low-poverty schools is included in DC's ESSA State Plan. At the school level, teacher data is reported for the entire school, and at the LEA-level, teacher data is reported for all schools only.On the STAR Framework, 203 schools received STAR scores and ratings based on data from the 2017-18 school year. Of those 203 schools, 2 schools closed after the completion of the 2017-18 school year (Excel Academy PCS and Washington Mathematics Science Technology PCHS). Because those two schools closed, they do not receive a School Report Card and report card metrics were not calculated for those schools.Schools with non-traditional grade configurations may be assigned multiple school frameworks as part of the STAR Framework. For example, a K-8 school would be assigned the Elementary School Framework and the Middle School Framework. Because a school may have multiple school frameworks, the total number of school framework scores across the city will be greater than the total number of schools that received a STAR score and rating.Detailed information about the metrics and calculations for the DC School Report Card and STAR Framework can be found in the 2018 DC School Report Card and STAR Framework Technical Guide (https://osse.dc.gov/publication/2018-dc-school-report-card-and-star-framework-technical-guide).

Descriptive data for the ranking criteria of the 198 unique PhD applications and risk of withdrawing from PhD.

The dataset contains ranking-year-, state-, and university/institute-wise compiled data on the total number of students who are admitted in different post and under graduate programmes of study in India, as per the National Institutional Ranking Framework (NIRF) data. The different categories of students within the admitted students covered in the dataset include socially and economically backward, admitted students from within and outside state and outside country, admitted students who received tuition fee reimbursement from government, private institution, private bodies, etc.

Tochigi City(Tochigi Shi)'s Population by last school completed (University and graduate school) is 13,154person which is the 269th highest in Japan (by City). It also ranks 4th in Tochigi Prefecture, with 6.08% share of the entire Tochigi. Transition Graphs and Comparison chart between Tochigi City and Ogaki City(Gifu) and Imabari City(Ehime)(Closest City in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

Ikeda City(Ikeda Shi)'s Population by last school completed (University and graduate school) is 21,211person which is the 177th highest in Japan (by City). It also ranks 13th in Osaka Prefecture, with 1.7% share of the entire Osaka. Transition Graphs and Comparison chart between Ikeda City and Kanoya City(Kagoshima) and Sakata City(Yamagata)(Closest City in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

SCHOOL PROFICIENCY INDEXSummaryThe school proficiency index uses school-level data on the performance of 4th grade students on state exams to describe which neighborhoods have high-performing elementary schools nearby and which are near lower performing elementary schools. The school proficiency index is a function of the percent of 4th grade students proficient in reading (r) and math (m) on state test scores for up to three schools (i=1,2,3) within 1.5 miles of the block-group centroid. S denotes 4th grade school enrollment:Elementary schools are linked with block-groups based on a geographic mapping of attendance area zones from School Attendance Boundary Information System (SABINS), where available, or within-district proximity matches of up to the three-closest schools within 1.5 miles. In cases with multiple school matches, an enrollment-weighted score is calculated following the equation above. Please note that in this version of the data (AFFHT0004), there is no school proficiency data for jurisdictions in Kansas, West Virginia, and Puerto Rico because no data was reported for jurisdictions in these states in the Great Schools 2013-14 dataset. InterpretationValues are percentile ranked and range from 0 to 100. The higher the score, the higher the school system quality is in a neighborhood. Data Source: Great Schools (proficiency data, 2015-16); Common Core of Data (4th grade school addresses and enrollment, 2015-16); Maponics (attendance boundaries, 2016).Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 7.

To learn more about the School Proficiency Index visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 07/2020

Numata Town(Numata Cho)'s Population by last school completed (University and graduate school) is 207person which is the 1564th highest in Japan (by City). It also ranks 136th in Hokkai do Prefecture, with 0.04% share of the entire Hokkai do. Transition Graphs and Comparison chart between Numata Town and Narusawa Village(Yamanashi) and Kenbuchi Town(Hokkai do)(Closest City in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.