In the 1983/84 academic year, there were 2.8 million recipients of Federal Pell Grants in the United States. By the academic year 2023/24, the number of Pell Grant recipients had increased to 6.4 million.

Federal Pell Grant Reporting, 2012-13 (Pell Grant Reporting 2012-13), is a part of the Federal Pell Grant Reporting (Pell Grant Reporting) program. Pell Grant Reporting 2012-13 (https://www2.ed.gov/programs/fpg/index.html) is a compilation of quantitative program data assembled to offer insights into the changes to the Title IV applicant universe and the Pell Grant program. The information provides a basis for program planning and development and can also be used to estimate the potential impact of actual or proposed policies on Pell Grant recipients and federal aid applicants. In addition, it can assist researchers, students, higher education officials, and financial aid administrators to better understand current patterns of Federal Pell Grant disbursements and Title IV applicant activity.

College Completion Dataset

Graduation Rates, Race, Efficiency Measures and More

By Jonathan Ortiz [source]

About this dataset

This College Completion dataset provides an invaluable insight into the success and progress of college students in the United States. It contains graduation rates, race and other data to offer a comprehensive view of college completion in America. The data is sourced from two primary sources – the National Center for Education Statistics (NCES)’ Integrated Postsecondary Education System (IPEDS) and Voluntary System of Accountability’s Student Success and Progress rate.

At four-year institutions, the graduation figures come from IPEDS for first-time, full-time degree seeking students at the undergraduate level, who entered college six years earlier at four-year institutions or three years earlier at two-year institutions. Furthermore, colleges report how many students completed their program within 100 percent and 150 percent of normal time which corresponds with graduation within four years or six year respectively. Students reported as being of two or more races are included in totals but not shown separately

When analyzing race and ethnicity data NCES have classified student demographics since 2009 into seven categories; White non-Hispanic; Black non Hispanic; American Indian/ Alaskan native ; Asian/ Pacific Islander ; Unknown race or ethnicity ; Non resident with two new categorize Native Hawaiian or Other Pacific Islander combined with Asian plus students belonging to several races. Also worth noting is that different classifications for graduate data stemming from 2008 could be due to variations in time frame examined & groupings used by particular colleges – those who can’t be identified from National Student Clearinghouse records won’t be subjected to penalty by these locations .

When it comes down to efficiency measures parameters like “Awards per 100 Full Time Undergraduate Students which includes all undergraduate completions reported by a particular institution including associate degrees & certificates less than 4 year programme will assist us here while we also take into consideration measures like expenditure categories , Pell grant percentage , endowment values , average student aid amounts & full time faculty members contributing outstandingly towards instructional research / public service initiatives .

When trying to quantify outcomes back up Median Estimated SAT score metric helps us when it is derived either on 25th percentile basis / 75th percentile basis with all these factors further qualified by identifying required criteria meeting 90% threshold when incoming students are considered for relevance . Last but not least , Average Student Aid equalizes amount granted by institution dividing same over total sum received against what was allotted that particular year .

All this analysis gives an opportunity get a holistic overview about performance , potential deficits &

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How to use the dataset

This dataset contains data on student success, graduation rates, race and gender demographics, an efficiency measure to compare colleges across states and more. It is a great source of information to help you better understand college completion and student success in the United States.

In this guide we’ll explain how to use the data so that you can find out the best colleges for students with certain characteristics or focus on your target completion rate. We’ll also provide some useful tips for getting the most out of this dataset when seeking guidance on which institutions offer the highest graduation rates or have a good reputation for success in terms of completing programs within normal timeframes.

Before getting into specifics about interpreting this dataset, it is important that you understand that each row represents information about a particular institution – such as its state affiliation, level (two-year vs four-year), control (public vs private), name and website. Each column contains various demographic information such as rate of awarding degrees compared to other institutions in its sector; race/ethnicity Makeup; full-time faculty percentage; median SAT score among first-time students; awards/grants comparison versus national average/state average - all applicable depending on institution location — and more!

When using this dataset, our suggestion is that you begin by forming a hypothesis or research question concerning student completion at a given school based upon observable characteristics like financ...

In 1999, the Bill and Melinda Gates foundation started the Gates Millennium Scholars Program (GMS), a 20-year initiative which intends to expand access to higher education for high achieving, low-income minority students. In addition to its academic objectives, GMS also has the goal of creating future leaders in minority groups. The program is administered by the United Negro College Fund (UNCF). Awardees can receive the scholarship for up to 5 years as an undergraduate and 4 years as a graduate student. The scholarship is renewable through graduate school in math, science, engineering, library science, and education. To be eligible for GMS, students had to meet several qualifications. They must: (1) be of African American, American Indian/Alaska Native, Asian American, Hispanic/Latino, or Pacific Islander background; (2) be full-time students entering college or university; (3) have a GPA of at least 3.3 on a 4.0 scale; (4) be eligible for Pell Grants; and (5) be leaders in community service, extracurricular, or other activities. These data include selected variables from administrative data as collected by UNCF. There are 5 major data sources from which these data were compiled, which include:

United Negro College Fund (UNCF) Administrative Databases;; National Student Clearing House (NSC);; Higher Education Directory (HED);; Free Application for Federal Student Aid (FAFSA); and; Institutional Student Information Records (ISIRs).;

These data were collected to represent the aggregation of administrative data utilized throughout the GMS cohort-level data. The data was structured in a way to allow analysis and utility beyond the administrative data's original purpose. The initial release includes only records for GMS scholarship recipients and one higher education institution per person. Subsequent releases will include information for non-recipient finalists and the full spectrum of institutions attended.